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types. big data ecosystem</title> <meta name="description" content="Search results for: big data types. big data ecosystem"> <meta name="keywords" content="big data types. big data ecosystem"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research 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method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="big data types. big data ecosystem"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 29568</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: big data types. big data ecosystem</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29568</span> Government Big Data Ecosystem: A Systematic Literature Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Syed%20Iftikhar%20Hussain%20Shah">Syed Iftikhar Hussain Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Vasilis%20Peristeras"> Vasilis Peristeras</a>, <a href="https://publications.waset.org/abstracts/search?q=Ioannis%20Magnisalis"> Ioannis Magnisalis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data that is high in volume, velocity, veracity and comes from a variety of sources is usually generated in all sectors including the government sector. Globally public administrations are pursuing (big) data as new technology and trying to adopt a data-centric architecture for hosting and sharing data. Properly executed, big data and data analytics in the government (big) data ecosystem can be led to data-driven government and have a direct impact on the way policymakers work and citizens interact with governments. In this research paper, we conduct a systematic literature review. The main aims of this paper are to highlight essential aspects of the government (big) data ecosystem and to explore the most critical socio-technical factors that contribute to the successful implementation of government (big) data ecosystem. The essential aspects of government (big) data ecosystem include definition, data types, data lifecycle models, and actors and their roles. We also discuss the potential impact of (big) data in public administration and gaps in the government data ecosystems literature. As this is a new topic, we did not find specific articles on government (big) data ecosystem and therefore focused our research on various relevant areas like humanitarian data, open government data, scientific research data, industry data, etc. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=applications%20of%20big%20data" title="applications of big data">applications of big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20types.%20big%20data%20ecosystem" title=" big data types. big data ecosystem"> big data types. big data ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=critical%20success%20factors" title=" critical success factors"> critical success factors</a>, <a href="https://publications.waset.org/abstracts/search?q=data-driven%20government" title=" data-driven government"> data-driven government</a>, <a href="https://publications.waset.org/abstracts/search?q=egovernment" title=" egovernment"> egovernment</a>, <a href="https://publications.waset.org/abstracts/search?q=gaps%20in%20data%20ecosystems" title=" gaps in data ecosystems"> gaps in data ecosystems</a>, <a href="https://publications.waset.org/abstracts/search?q=government%20%28big%29%20data" title=" government (big) data"> government (big) data</a>, <a href="https://publications.waset.org/abstracts/search?q=literature%20review" title=" literature review"> literature review</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20administration" title=" public administration"> public administration</a>, <a href="https://publications.waset.org/abstracts/search?q=systematic%20review" title=" systematic review"> systematic review</a> </p> <a href="https://publications.waset.org/abstracts/116280/government-big-data-ecosystem-a-systematic-literature-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/116280.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29567</span> Government (Big) Data Ecosystem: Definition, Classification of Actors, and Their Roles </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Syed%20Iftikhar%20Hussain%20Shah">Syed Iftikhar Hussain Shah</a>, <a href="https://publications.waset.org/abstracts/search?q=Vasilis%20Peristeras"> Vasilis Peristeras</a>, <a href="https://publications.waset.org/abstracts/search?q=Ioannis%20Magnisalis"> Ioannis Magnisalis</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Organizations, including governments, generate (big) data that are high in volume, velocity, veracity, and come from a variety of sources. Public Administrations are using (big) data, implementing base registries, and enforcing data sharing within the entire government to deliver (big) data related integrated services, provision of insights to users, and for good governance. Government (Big) data ecosystem actors represent distinct entities that provide data, consume data, manipulate data to offer paid services, and extend data services like data storage, hosting services to other actors. In this research work, we perform a systematic literature review. The key objectives of this paper are to propose a robust definition of government (big) data ecosystem and a classification of government (big) data ecosystem actors and their roles. We showcase a graphical view of actors, roles, and their relationship in the government (big) data ecosystem. We also discuss our research findings. We did not find too much published research articles about the government (big) data ecosystem, including its definition and classification of actors and their roles. Therefore, we lent ideas for the government (big) data ecosystem from numerous areas that include scientific research data, humanitarian data, open government data, industry data, in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20ecosystem" title=" big data ecosystem"> big data ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=classification%20of%20big%20data%20actors" title=" classification of big data actors"> classification of big data actors</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20actors%20roles" title=" big data actors roles"> big data actors roles</a>, <a href="https://publications.waset.org/abstracts/search?q=definition%20of%20government%20%28big%29%20data%20ecosystem" title=" definition of government (big) data ecosystem"> definition of government (big) data ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=data-driven%20government" title=" data-driven government"> data-driven government</a>, <a href="https://publications.waset.org/abstracts/search?q=eGovernment" title=" eGovernment"> eGovernment</a>, <a href="https://publications.waset.org/abstracts/search?q=gaps%20in%20data%20ecosystems" title=" gaps in data ecosystems"> gaps in data ecosystems</a>, <a href="https://publications.waset.org/abstracts/search?q=government%20%28big%29%20data" title=" government (big) data"> government (big) data</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20administration" title=" public administration"> public administration</a>, <a href="https://publications.waset.org/abstracts/search?q=systematic%20literature%20review" title=" systematic literature review"> systematic literature review</a> </p> <a href="https://publications.waset.org/abstracts/119739/government-big-data-ecosystem-definition-classification-of-actors-and-their-roles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/119739.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">162</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29566</span> Prediction of Marine Ecosystem Changes Based on the Integrated Analysis of Multivariate Data Sets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Prozorkevitch%20D.">Prozorkevitch D.</a>, <a href="https://publications.waset.org/abstracts/search?q=Mishurov%20A."> Mishurov A.</a>, <a href="https://publications.waset.org/abstracts/search?q=Sokolov%20K."> Sokolov K.</a>, <a href="https://publications.waset.org/abstracts/search?q=Karsakov%20L."> Karsakov L.</a>, <a href="https://publications.waset.org/abstracts/search?q=Pestrikova%20L."> Pestrikova L.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The current body of knowledge about the marine environment and the dynamics of marine ecosystems includes a huge amount of heterogeneous data collected over decades. It generally includes a wide range of hydrological, biological and fishery data. Marine researchers collect these data and analyze how and why the ecosystem changes from past to present. Based on these historical records and linkages between the processes it is possible to predict future changes. Multivariate analysis of trends and their interconnection in the marine ecosystem may be used as an instrument for predicting further ecosystem evolution. A wide range of information about the components of the marine ecosystem for more than 50 years needs to be used to investigate how these arrays can help to predict the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=barents%20sea%20ecosystem" title="barents sea ecosystem">barents sea ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=abiotic" title=" abiotic"> abiotic</a>, <a href="https://publications.waset.org/abstracts/search?q=biotic" title=" biotic"> biotic</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20sets" title=" data sets"> data sets</a>, <a href="https://publications.waset.org/abstracts/search?q=trends" title=" trends"> trends</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a> </p> <a href="https://publications.waset.org/abstracts/148270/prediction-of-marine-ecosystem-changes-based-on-the-integrated-analysis-of-multivariate-data-sets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148270.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29565</span> Stakeholder Analysis of Agricultural Drone Policy: A Case Study of the Agricultural Drone Ecosystem of Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thanomsin%20Chakreeves">Thanomsin Chakreeves</a>, <a href="https://publications.waset.org/abstracts/search?q=Atichat%20Preittigun"> Atichat Preittigun</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajchara%20Phu-ang"> Ajchara Phu-ang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a stakeholder analysis of agricultural drone policies that meet the government's goal of building an agricultural drone ecosystem in Thailand. Firstly, case studies from other countries are reviewed. The stakeholder analysis method and qualitative data from the interviews are then presented including data from the Institute of Innovation and Management, the Office of National Higher Education Science Research and Innovation Policy Council, agricultural entrepreneurs and farmers. Study and interview data are then employed to describe the current ecosystem and to guide the implementation of agricultural drone policies that are suitable for the ecosystem of Thailand. Finally, policy recommendations are then made that the Thai government should adopt in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drone%20public%20policy" title="drone public policy">drone public policy</a>, <a href="https://publications.waset.org/abstracts/search?q=drone%20ecosystem" title=" drone ecosystem"> drone ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=policy%20development" title=" policy development"> policy development</a>, <a href="https://publications.waset.org/abstracts/search?q=agricultural%20drone" title=" agricultural drone"> agricultural drone</a> </p> <a href="https://publications.waset.org/abstracts/132133/stakeholder-analysis-of-agricultural-drone-policy-a-case-study-of-the-agricultural-drone-ecosystem-of-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/132133.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29564</span> Automated Test Data Generation For some types of Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hitesh%20Tahbildar">Hitesh Tahbildar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The cost of test data generation for a program is computationally very high. In general case, no algorithm to generate test data for all types of algorithms has been found. The cost of generating test data for different types of algorithm is different. Till date, people are emphasizing the need to generate test data for different types of programming constructs rather than different types of algorithms. The test data generation methods have been implemented to find heuristics for different types of algorithms. Some algorithms that includes divide and conquer, backtracking, greedy approach, dynamic programming to find the minimum cost of test data generation have been tested. Our experimental results say that some of these types of algorithm can be used as a necessary condition for selecting heuristics and programming constructs are sufficient condition for selecting our heuristics. Finally we recommend the different heuristics for test data generation to be selected for different types of algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ongest%20path" title="ongest path">ongest path</a>, <a href="https://publications.waset.org/abstracts/search?q=saturation%20point" title=" saturation point"> saturation point</a>, <a href="https://publications.waset.org/abstracts/search?q=lmax" title=" lmax"> lmax</a>, <a href="https://publications.waset.org/abstracts/search?q=kL" title=" kL"> kL</a>, <a href="https://publications.waset.org/abstracts/search?q=kS" title=" kS"> kS</a> </p> <a href="https://publications.waset.org/abstracts/2406/automated-test-data-generation-for-some-types-of-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/2406.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">405</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29563</span> An Analysis of Privacy and Security for Internet of Things Applications </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dhananjay%20Singh">Dhananjay Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Abdullah-Al-Wadud"> M. Abdullah-Al-Wadud</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Internet of Things is a concept of a large scale ecosystem of wireless actuators. The actuators are defined as things in the IoT, those which contribute or produces some data to the ecosystem. However, ubiquitous data collection, data security, privacy preserving, large volume data processing, and intelligent analytics are some of the key challenges into the IoT technologies. In order to solve the security requirements, challenges and threats in the IoT, we have discussed a message authentication mechanism for IoT applications. Finally, we have discussed data encryption mechanism for messages authentication before propagating into IoT networks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Internet%20of%20Things%20%28IoT%29" title="Internet of Things (IoT)">Internet of Things (IoT)</a>, <a href="https://publications.waset.org/abstracts/search?q=message%20authentication" title=" message authentication"> message authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=privacy" title=" privacy"> privacy</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a> </p> <a href="https://publications.waset.org/abstracts/59840/an-analysis-of-privacy-and-security-for-internet-of-things-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59840.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">382</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29562</span> Supply, Trade-offs, and Synergies Estimation for Regulating Ecosystem Services of a Local Forest</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jang-Hwan%20Jo">Jang-Hwan Jo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The supply management of ecosystem services of local forests is an essential issue as it is linked to the ecological welfare of local residents. This study aims to estimate the supply, trade-offs, and synergies of local forest regulating ecosystem services using a land cover classification map (LCCM) and a forest types map (FTM). Rigorous literature reviews and Expert Delphi analysis were conducted using the detailed variables of 1:5,000 LCCM and FTM. Land-use scoring method and Getis-Ord Gi* Analysis were utilized on detailed variables to propose a method for estimating supply, trade-offs, and synergies of the local forest regulating ecosystem services. The analysis revealed that the rank order (1st to 5th) of supply of regulating ecosystem services was Erosion prevention, Air quality regulation, Heat island mitigation, Water quality regulation, and Carbon storage. When analyzing the correlation between defined services of the entire city, almost all services showed a synergistic effect. However, when analyzing locally, trade-off effects (Heat island mitigation – Air quality regulation, Water quality regulation – Air quality regulation) appeared in the eastern and northwestern forest areas. This suggests the need to consider not only the synergy and trade-offs of the entire forest between specific ecosystem services but also the synergy and trade-offs of local areas in managing the regulating ecosystem services of local forests. The study result can provide primary data for the stakeholders to determine the initial conditions of the planning stage when discussing the establishment of policies related to the adjustment of the supply of regulating ecosystem services of the forests with limited access. Moreover, the study result can also help refine the estimation of the supply of the regulating ecosystem services with the availability of other forms of data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20service" title="ecosystem service">ecosystem service</a>, <a href="https://publications.waset.org/abstracts/search?q=getis%20ord%20gi%2A%20analysis" title=" getis ord gi* analysis"> getis ord gi* analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20use%20scoring%20method" title=" land use scoring method"> land use scoring method</a>, <a href="https://publications.waset.org/abstracts/search?q=regional%20forest" title=" regional forest"> regional forest</a>, <a href="https://publications.waset.org/abstracts/search?q=regulating%20service" title=" regulating service"> regulating service</a>, <a href="https://publications.waset.org/abstracts/search?q=synergies" title=" synergies"> synergies</a>, <a href="https://publications.waset.org/abstracts/search?q=trade-offs" title=" trade-offs"> trade-offs</a> </p> <a href="https://publications.waset.org/abstracts/171452/supply-trade-offs-and-synergies-estimation-for-regulating-ecosystem-services-of-a-local-forest" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171452.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">88</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29561</span> Healthcare Big Data Analytics Using Hadoop</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chellammal%20Surianarayanan">Chellammal Surianarayanan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare industry is generating large amounts of data driven by various needs such as record keeping, physician’s prescription, medical imaging, sensor data, Electronic Patient Record(EPR), laboratory, pharmacy, etc. Healthcare data is so big and complex that they cannot be managed by conventional hardware and software. The complexity of healthcare big data arises from large volume of data, the velocity with which the data is accumulated and different varieties such as structured, semi-structured and unstructured nature of data. Despite the complexity of big data, if the trends and patterns that exist within the big data are uncovered and analyzed, higher quality healthcare at lower cost can be provided. Hadoop is an open source software framework for distributed processing of large data sets across clusters of commodity hardware using a simple programming model. The core components of Hadoop include Hadoop Distributed File System which offers way to store large amount of data across multiple machines and MapReduce which offers way to process large data sets with a parallel, distributed algorithm on a cluster. Hadoop ecosystem also includes various other tools such as Hive (a SQL-like query language), Pig (a higher level query language for MapReduce), Hbase(a columnar data store), etc. In this paper an analysis has been done as how healthcare big data can be processed and analyzed using Hadoop ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data%20analytics" title="big data analytics">big data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadoop" title=" Hadoop"> Hadoop</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare%20data" title=" healthcare data"> healthcare data</a>, <a href="https://publications.waset.org/abstracts/search?q=towards%20quality%20healthcare" title=" towards quality healthcare"> towards quality healthcare</a> </p> <a href="https://publications.waset.org/abstracts/35637/healthcare-big-data-analytics-using-hadoop" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35637.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">413</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29560</span> An Analysis of Humanitarian Data Management of Polish Non-Governmental Organizations in Ukraine Since February 2022 and Its Relevance for Ukrainian Humanitarian Data Ecosystem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Renata%20Kurpiewska-Korbut">Renata Kurpiewska-Korbut</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Making an assumption that the use and sharing of data generated in humanitarian action constitute a core function of humanitarian organizations, the paper analyzes the position of the largest Polish humanitarian non-governmental organizations in the humanitarian data ecosystem in Ukraine and their approach to non-personal and personal data management since February of 2022. Both expert interviews and document analysis of non-profit organizations providing a direct response in the Ukrainian crisis context, i.e., the Polish Humanitarian Action, Caritas, Polish Medical Mission, Polish Red Cross, and the Polish Center for International Aid and the applicability of theoretical perspective of contingency theory – with its central point that the context or specific set of conditions determining the way of behavior and the choice of methods of action – help to examine the significance of data complexity and adaptive approach to data management by relief organizations in the humanitarian supply chain network. The purpose of this study is to determine how the existence of well-established and accurate internal procedures and good practices of using and sharing data (including safeguards for sensitive data) by the surveyed organizations with comparable human and technological capabilities are implemented and adjusted to Ukrainian humanitarian settings and data infrastructure. The study also poses a fundamental question of whether this crisis experience will have a determining effect on their future performance. The obtained finding indicate that Polish humanitarian organizations in Ukraine, which have their own unique code of conduct and effective managerial data practices determined by contingencies, have limited influence on improving the situational awareness of other assistance providers in the data ecosystem despite their attempts to undertake interagency work in the area of data sharing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=humanitarian%20data%20ecosystem" title="humanitarian data ecosystem">humanitarian data ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=humanitarian%20data%20management" title=" humanitarian data management"> humanitarian data management</a>, <a href="https://publications.waset.org/abstracts/search?q=polish%20NGOs" title=" polish NGOs"> polish NGOs</a>, <a href="https://publications.waset.org/abstracts/search?q=Ukraine" title=" Ukraine"> Ukraine</a> </p> <a href="https://publications.waset.org/abstracts/163466/an-analysis-of-humanitarian-data-management-of-polish-non-governmental-organizations-in-ukraine-since-february-2022-and-its-relevance-for-ukrainian-humanitarian-data-ecosystem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163466.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29559</span> Big Data: Concepts, Technologies and Applications in the Public Sector</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Alexandru">A. Alexandru</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20A.%20Alexandru"> C. A. Alexandru</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Coardos"> D. Coardos</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Tudora"> E. Tudora</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Big Data (BD) is associated with a new generation of technologies and architectures which can harness the value of extremely large volumes of very varied data through real time processing and analysis. It involves changes in (1) data types, (2) accumulation speed, and (3) data volume. This paper presents the main concepts related to the BD paradigm, and introduces architectures and technologies for BD and BD sets. The integration of BD with the Hadoop Framework is also underlined. BD has attracted a lot of attention in the public sector due to the newly emerging technologies that allow the availability of network access. The volume of different types of data has exponentially increased. Some applications of BD in the public sector in Romania are briefly presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data%20analytics" title=" big data analytics"> big data analytics</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadoop" title=" Hadoop"> Hadoop</a>, <a href="https://publications.waset.org/abstracts/search?q=cloud" title=" cloud"> cloud</a> </p> <a href="https://publications.waset.org/abstracts/52265/big-data-concepts-technologies-and-applications-in-the-public-sector" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52265.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">310</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29558</span> Transformation of the Business Model in an Occupational Health Care Company Embedded in an Emerging Personal Data Ecosystem: A Case Study in Finland</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tero%20Huhtala">Tero Huhtala</a>, <a href="https://publications.waset.org/abstracts/search?q=Minna%20Pikkarainen"> Minna Pikkarainen</a>, <a href="https://publications.waset.org/abstracts/search?q=Saila%20Saraniemi"> Saila Saraniemi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Information technology has long been used as an enabler of exchange for goods and services. Services are evolving from generic to personalized, and the reverse use of customer data has been discussed in both academia and industry for the past few years. This article presents the results of an empirical case study in the area of preventive health care services. The primary data were gathered in workshops, in which future personal data-based services were conceptualized by analyzing future scenarios from a business perspective. The aim of this study is to understand business model transformation in emerging personal data ecosystems. The work was done as a case study in the context of occupational healthcare. The results have implications to theory and practice, indicating that adopting personal data management principles requires transformation of the business model, which, if successfully managed, may provide access to more resources, potential to offer better value, and additional customer channels. These advantages correlate with the broadening of the business ecosystem. Expanding the scope of this study to include more actors would improve the validity of the research. The results draw from existing literature and are based on findings from a case study and the economic properties of the healthcare industry in Finland. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem" title="ecosystem">ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20model" title=" business model"> business model</a>, <a href="https://publications.waset.org/abstracts/search?q=personal%20data" title=" personal data"> personal data</a>, <a href="https://publications.waset.org/abstracts/search?q=preventive%20healthcare" title=" preventive healthcare"> preventive healthcare</a> </p> <a href="https://publications.waset.org/abstracts/58822/transformation-of-the-business-model-in-an-occupational-health-care-company-embedded-in-an-emerging-personal-data-ecosystem-a-case-study-in-finland" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58822.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">249</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29557</span> Research of Data Cleaning Methods Based on Dependency Rules</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yang%20Bao">Yang Bao</a>, <a href="https://publications.waset.org/abstracts/search?q=Shi%20Wei%20Deng"> Shi Wei Deng</a>, <a href="https://publications.waset.org/abstracts/search?q=WangQun%20Lin"> WangQun Lin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper introduces the concept and principle of data cleaning, analyzes the types and causes of dirty data, and proposes several key steps of typical cleaning process, puts forward a well scalability and versatility data cleaning framework, in view of data with attribute dependency relation, designs several of violation data discovery algorithms by formal formula, which can obtain inconsistent data to all target columns with condition attribute dependent no matter data is structured (SQL) or unstructured (NoSQL), and gives 6 data cleaning methods based on these algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20cleaning" title="data cleaning">data cleaning</a>, <a href="https://publications.waset.org/abstracts/search?q=dependency%20rules" title=" dependency rules"> dependency rules</a>, <a href="https://publications.waset.org/abstracts/search?q=violation%20data%20discovery" title=" violation data discovery"> violation data discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20repair" title=" data repair"> data repair</a> </p> <a href="https://publications.waset.org/abstracts/31348/research-of-data-cleaning-methods-based-on-dependency-rules" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31348.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">564</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29556</span> Potential Contribution of Combined High-Resolution and Fluorescence Remote Sensing to Coastal Ecosystem Service Assessments</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yaner%20Yan">Yaner Yan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ning%20Li"> Ning Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Yajun%20Qiao"> Yajun Qiao</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuqing%20An"> Shuqing An</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although most studies have focused on assessing and mapping terrestrial ecosystem services, there is still a knowledge gap on coastal ecosystem services and an urgent need to assess them. Lau (2013) clearly defined five types of costal ecosystem services: carbon sequestration, shoreline protection, fish nursery, biodiversity, and water quality. While high-resolution remote sensing can provide the more direct, spatially estimates of biophysical parameters, such as species distribution relating to biodiversity service, and Fluorescence information derived from remote sensing direct relate to photosynthesis, availing in estimation of carbon sequestration and the response to environmental changes in coastal wetland. Here, we review the capabilities of high-resolution and fluorescence remote sesing for describing biodiversity, vegetation condition, ecological processes and highlight how these prodicts may contribute to costal ecosystem service assessment. In so doing, we anticipate rapid progress to combine the high-resolution and fluorescence remote sesing to estimate the spatial pattern of costal ecosystem services. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title="ecosystem services">ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=high%20resolution" title=" high resolution"> high resolution</a>, <a href="https://publications.waset.org/abstracts/search?q=remote%20sensing" title=" remote sensing"> remote sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=chlorophyll%20fluorescence" title=" chlorophyll fluorescence"> chlorophyll fluorescence</a> </p> <a href="https://publications.waset.org/abstracts/29659/potential-contribution-of-combined-high-resolution-and-fluorescence-remote-sensing-to-coastal-ecosystem-service-assessments" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29659.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">506</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29555</span> Robustified Asymmetric Logistic Regression Model for Global Fish Stock Assessment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Osamu%20Komori">Osamu Komori</a>, <a href="https://publications.waset.org/abstracts/search?q=Shinto%20Eguchi"> Shinto Eguchi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hiroshi%20Okamura"> Hiroshi Okamura</a>, <a href="https://publications.waset.org/abstracts/search?q=Momoko%20Ichinokawa"> Momoko Ichinokawa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The long time-series data on population assessments are essential for global ecosystem assessment because the temporal change of biomass in such a database reflects the status of global ecosystem properly. However, the available assessment data usually have limited sample sizes and the ratio of populations with low abundance of biomass (collapsed) to those with high abundance (non-collapsed) is highly imbalanced. To allow for the imbalance and uncertainty involved in the ecological data, we propose a binary regression model with mixed effects for inferring ecosystem status through an asymmetric logistic model. In the estimation equation, we observe that the weights for the non-collapsed populations are relatively reduced, which in turn puts more importance on the small number of observations of collapsed populations. Moreover, we extend the asymmetric logistic regression model using propensity score to allow for the sample biases observed in the labeled and unlabeled datasets. It robustified the estimation procedure and improved the model fitting. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=double%20robust%20estimation" title="double robust estimation">double robust estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=ecological%20binary%20data" title=" ecological binary data"> ecological binary data</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed%20effect%20logistic%20regression%20model" title=" mixed effect logistic regression model"> mixed effect logistic regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=propensity%20score" title=" propensity score"> propensity score</a> </p> <a href="https://publications.waset.org/abstracts/65277/robustified-asymmetric-logistic-regression-model-for-global-fish-stock-assessment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65277.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">266</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29554</span> Mining Big Data in Telecommunications Industry: Challenges, Techniques, and Revenue Opportunity</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hoda%20A.%20Abdel%20Hafez">Hoda A. Abdel Hafez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mining big data represents a big challenge nowadays. Many types of research are concerned with mining massive amounts of data and big data streams. Mining big data faces a lot of challenges including scalability, speed, heterogeneity, accuracy, provenance and privacy. In telecommunication industry, mining big data is like a mining for gold; it represents a big opportunity and maximizing the revenue streams in this industry. This paper discusses the characteristics of big data (volume, variety, velocity and veracity), data mining techniques and tools for handling very large data sets, mining big data in telecommunication and the benefits and opportunities gained from them. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mining%20big%20data" title="mining big data">mining big data</a>, <a href="https://publications.waset.org/abstracts/search?q=big%20data" title=" big data"> big data</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=telecommunication" title=" telecommunication"> telecommunication</a> </p> <a href="https://publications.waset.org/abstracts/41412/mining-big-data-in-telecommunications-industry-challenges-techniques-and-revenue-opportunity" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41412.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">410</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29553</span> Ecosystem Services and Human Well-Being: Case Study of Tiriya Village, Bastar India</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Vaibhav%20Kant%20Sahu">S. Vaibhav Kant Sahu</a>, <a href="https://publications.waset.org/abstracts/search?q=Surabhi%20Bipin%20Seth"> Surabhi Bipin Seth</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human well-being has multiple constituents including the basic material for a good life, freedom and choice, health, good social relations, and security. Poverty is also multidimensional and has been defined as the pronounced deprivation of well-being. Dhurwa tribe of Bastar (India) have symbiotic relation with nature, it provisions ecosystem service such as food, fuel and fiber; regulating services such as climate regulation and non-material benefits such as spiritual or aesthetic benefits and they are managing their forest from ages. The demand for ecosystem services is now so great that trade-off among services become rule. Aim of study to explore evidences for linkages between ecosystem services and well-being of indigenous community, how much it helps them in poverty reduction and interaction between them. Objective of study was to find drivers of change and evidence concerning link between ecosystem, human development and sustainability, evidence in decision making does it opt for multi sectoral objectives. Which means human well-being as the central focus for assessment, while recognizing that biodiversity and ecosystems also have intrinsic value. Ecosystem changes that may have little impact on human well-being over days or weeks may have pronounced impacts over years or decades; so assessments needed to be conducted at spatial and temporal scales under social, political, economic scales to have high-resolution data. Researcher used framework developed by Millennium ecosystem assessment; since human action now directly or unknowingly virtually alter ecosystem. Researcher used ethnography study to get primary qualitative data, secondary data collected from panchayat office. The responses were transcribed and translated into English, as interview held in Hindi and local indigenous language. Focus group discussion were held with group of 10 women at Tiriya village. Researcher concluded with well-being is not just gap between ecosystem service supply but also increases vulnerability. Decision can have consequences external to the decision framework these consequences are called externalities because they are not part of the decision-making calculus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bastar" title="Bastar">Bastar</a>, <a href="https://publications.waset.org/abstracts/search?q=Dhurwa%20tribe" title=" Dhurwa tribe"> Dhurwa tribe</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title=" ecosystem services"> ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=millennium%20ecosystem%20assessment" title=" millennium ecosystem assessment"> millennium ecosystem assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/51153/ecosystem-services-and-human-well-being-case-study-of-tiriya-village-bastar-india" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51153.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">302</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29552</span> Towards Development of a Framework for Saudi Education Software Ecosystem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Fazal-e-Amin">Fazal-e-Amin</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdullah%20S.%20Alghamdi"> Abdullah S. Alghamdi</a>, <a href="https://publications.waset.org/abstracts/search?q=Iftikhar%20Ahmad"> Iftikhar Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software ecosystems’ concept is an inspiration from the natural ecosystem. Software ecosystems refer to large systems developed on top of a platform composed of different components developed by different entities of that ecosystem. Ecosystems improve information access, dissemination and coordination considerably. The ability to evolve and accommodate new subsystems gives a boost to the software ecosystems. In this paper, Saudi education software ecosystem is discussed and its need and potential benefits are highlighted. This work will provide a basis for further research in this area and foundation in development of Saudi education ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=software%20ecosystem" title="software ecosystem">software ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=education%20software" title=" education software"> education software</a>, <a href="https://publications.waset.org/abstracts/search?q=framework" title=" framework"> framework</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20engineering" title=" software engineering"> software engineering</a> </p> <a href="https://publications.waset.org/abstracts/5173/towards-development-of-a-framework-for-saudi-education-software-ecosystem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5173.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">531</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29551</span> The Internet of Things Ecosystem: Survey of the Current Landscape, Identity Relationship Management, Multifactor Authentication Mechanisms, and Underlying Protocols</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nazli%20W.%20Hardy">Nazli W. Hardy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A critical component in the Internet of Things (IoT) ecosystem is the need for secure and appropriate transmission, processing, and storage of the data. Our current forms of authentication, and identity and access management do not suffice because they are not designed to service cohesive, integrated, interconnected devices, and service applications. The seemingly endless opportunities of IoT are in fact circumscribed on multiple levels by concerns such as trust, privacy, security, loss of control, and related issues. This paper considers multi-factor authentication (MFA) mechanisms and cohesive identity relationship management (IRM) standards. It also surveys messaging protocols that are appropriate for the IoT ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=identity%20relation%20management" title="identity relation management">identity relation management</a>, <a href="https://publications.waset.org/abstracts/search?q=multifactor%20authentication" title=" multifactor authentication"> multifactor authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=protocols" title=" protocols"> protocols</a>, <a href="https://publications.waset.org/abstracts/search?q=survey%20of%20internet%20of%20things%20ecosystem" title=" survey of internet of things ecosystem"> survey of internet of things ecosystem</a> </p> <a href="https://publications.waset.org/abstracts/50501/the-internet-of-things-ecosystem-survey-of-the-current-landscape-identity-relationship-management-multifactor-authentication-mechanisms-and-underlying-protocols" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50501.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">354</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29550</span> Programming with Grammars</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Peter%20M.%20Maurer%20Maurer">Peter M. Maurer Maurer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> DGL is a context free grammar-based tool for generating random data. Many types of simulator input data require some computation to be placed in the proper format. For example, it might be necessary to generate ordered triples in which the third element is the sum of the first two elements, or it might be necessary to generate random numbers in some sorted order. Although DGL is universal in computational power, generating these types of data is extremely difficult. To overcome this problem, we have enhanced DGL to include features that permit direct computation within the structure of a context free grammar. The features have been implemented as special types of productions, preserving the context free flavor of DGL specifications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DGL" title="DGL">DGL</a>, <a href="https://publications.waset.org/abstracts/search?q=Enhanced%20Context%20Free%20Grammars" title=" Enhanced Context Free Grammars"> Enhanced Context Free Grammars</a>, <a href="https://publications.waset.org/abstracts/search?q=Programming%20Constructs" title=" Programming Constructs"> Programming Constructs</a>, <a href="https://publications.waset.org/abstracts/search?q=Random%20Data%20Generation" title=" Random Data Generation"> Random Data Generation</a> </p> <a href="https://publications.waset.org/abstracts/129615/programming-with-grammars" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129615.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">147</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29549</span> 4G LTE Dynamic Pricing: The Drivers, Benefits, and Challenges</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Rashad%20Harb%20Riad%20Ismail">Ahmed Rashad Harb Riad Ismail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this research is to study the potential of Dynamic Pricing if deployed by mobile operators and analyse its effects from both operators and consumers side. Furthermore, to conclude, throughout the research study, the recommended conditions for successful Dynamic Pricing deployment, recommended factors identifying the type of markets where Dynamic Pricing can be effective, and proposal for a Dynamic Pricing stakeholders’ framework were presented. Currently, the mobile telecommunications industry is witnessing a dramatic growth rate in the data consumption, being fostered mainly by higher data speed technology as the 4G LTE and by the smart devices penetration rates. However, operators’ revenue from data services lags behind and is decupled from this data consumption growth. Pricing strategy is a key factor affecting this ecosystem. Since the introduction of the 4G LTE technology will increase the pace of data growth in multiples, consequently, if pricing strategies remain constant, then the revenue and usage gap will grow wider, risking the sustainability of the ecosystem. Therefore, this research study is focused on Dynamic Pricing for 4G LTE data services, researching the drivers, benefits and challenges of 4G LTE Dynamic Pricing and the feasibility of its deployment in practice from different perspectives including operators, regulators, consumers, and telecommunications equipment manufacturers point of views. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=LTE" title="LTE">LTE</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20pricing" title=" dynamic pricing"> dynamic pricing</a>, <a href="https://publications.waset.org/abstracts/search?q=EPC" title=" EPC"> EPC</a>, <a href="https://publications.waset.org/abstracts/search?q=research" title=" research"> research</a> </p> <a href="https://publications.waset.org/abstracts/6817/4g-lte-dynamic-pricing-the-drivers-benefits-and-challenges" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6817.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">332</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29548</span> Drivers of Land Degradation in Trays Ecosystem as Modulated under a Changing Climate: Case Study of Côte d'Ivoire</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kadio%20Valere%20R.%20Angaman">Kadio Valere R. Angaman</a>, <a href="https://publications.waset.org/abstracts/search?q=Birahim%20Bouna%20Niang"> Birahim Bouna Niang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Land degradation is a serious problem in developing countries, including Cote d’Ivoire, which has its economy focused on agriculture. It occurs in all kinds of ecosystems over the world. However, the drivers of land degradation vary from one region to another and from one ecosystem to another. Thus, identifying these drivers is an essential prerequisite to developing and implementing appropriate policies to reverse the trend of land degradation in the country, especially in the trays ecosystem. Using the binary logistic model with primary data obtained through 780 farmers surveyed, we analyze and identify the drivers of land degradation in the trays ecosystem. The descriptive statistics show that 52% of farmers interviewed have stated facing land degradation in their farmland. This high rate shows the extent of land degradation in this ecosystem. Also, the results obtained from the binary logit regression reveal that land degradation is significantly influenced by a set of variables such as sex, education, slope, erosion, pesticide, agricultural activity, deforestation, and temperature. The drivers identified are mostly local; as a result, the government must implement some policies and strategies that facilitate and incentive the adoption of sustainable land management practices by farmers to reverse the negative trend of land degradation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=drivers" title="drivers">drivers</a>, <a href="https://publications.waset.org/abstracts/search?q=land%20degradation" title=" land degradation"> land degradation</a>, <a href="https://publications.waset.org/abstracts/search?q=trays%20ecosystem" title=" trays ecosystem"> trays ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20land%20management" title=" sustainable land management"> sustainable land management</a> </p> <a href="https://publications.waset.org/abstracts/148461/drivers-of-land-degradation-in-trays-ecosystem-as-modulated-under-a-changing-climate-case-study-of-cote-divoire" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/148461.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29547</span> Recreation and Environmental Quality of Tropical Wetlands: A Social Media Based Spatial Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Michael%20Sinclair">Michael Sinclair</a>, <a href="https://publications.waset.org/abstracts/search?q=Andrea%20Ghermandi"> Andrea Ghermandi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sheela%20A.%20Moses"> Sheela A. Moses</a>, <a href="https://publications.waset.org/abstracts/search?q=Joseph%20Sabu"> Joseph Sabu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Passively crowdsourced data, such as geotagged photographs from social media, represent an opportunistic source of location-based and time-specific behavioral data for ecosystem services analysis. Such data have innovative applications for environmental management and protection, which are replicable at wide spatial scales and in the context of both developed and developing countries. Here we test one such innovation, based on the analysis of the metadata of online geotagged photographs, to investigate the provision of recreational services by the entire network of wetland ecosystems in the state of Kerala, India. We estimate visitation to individual wetlands state-wide and extend, for the first time to a developing region, the emerging application of cultural ecosystem services modelling using data from social media. The impacts of restoration of wetland areal extension and water quality improvement are explored as a means to inform more sustainable management strategies. Findings show that improving water quality to a level suitable for the preservation of wildlife and fisheries could increase annual visits by 350,000, an increase of 13% in wetland visits state-wide, while restoring previously encroached wetland area could result in a 7% increase in annual visits, corresponding to 49,000 visitors, in the Ashtamudi and Vembanad lakes alone, two large coastal Ramsar wetlands in Kerala. We discuss how passive crowdsourcing of social media data has the potential to improve current ecosystem service analyses and environmental management practices also in the context of developing countries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=coastal%20wetlands" title="coastal wetlands">coastal wetlands</a>, <a href="https://publications.waset.org/abstracts/search?q=cultural%20ecosystem%20services" title=" cultural ecosystem services"> cultural ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=India" title=" India"> India</a>, <a href="https://publications.waset.org/abstracts/search?q=passive%20crowdsourcing" title=" passive crowdsourcing"> passive crowdsourcing</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20media" title=" social media"> social media</a>, <a href="https://publications.waset.org/abstracts/search?q=wetland%20restoration" title=" wetland restoration"> wetland restoration</a> </p> <a href="https://publications.waset.org/abstracts/96973/recreation-and-environmental-quality-of-tropical-wetlands-a-social-media-based-spatial-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96973.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29546</span> Evaluating the Impact of Urbanization on Local Biodiversity and Ecosystem Functioning: A Case Study of Algiers, Algeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Akram%20Sadouki">Akram Sadouki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urbanization is one of the most significant drivers of biodiversity loss and ecosystem degradation. This study aims to evaluate the impact of urban expansion on local biodiversity and ecosystem functioning in Algiers, Algeria. Using a combination of field surveys, remote sensing data, and GIS analysis, we quantified changes in land use and land cover over the past three decades. Our results indicate a substantial reduction in green spaces and natural habitats, leading to a decline in native species diversity and abundance. Furthermore, we observed alterations in ecosystem services, including reduced air and water quality, increased urban heat island effects, and diminished carbon sequestration capabilities. This paper highlights the urgent need for sustainable urban planning and conservation strategies to mitigate the adverse effects of urbanization on biodiversity. We propose several policy recommendations, such as the creation of urban green belts, restoration of degraded areas, and incorporation of biodiversity considerations into city planning processes. By adopting these measures, Algiers can enhance its resilience to environmental changes and ensure the well-being of its inhabitants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=biodiversity" title="biodiversity">biodiversity</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20functioning" title=" ecosystem functioning"> ecosystem functioning</a>, <a href="https://publications.waset.org/abstracts/search?q=Algiers" title=" Algiers"> Algiers</a>, <a href="https://publications.waset.org/abstracts/search?q=urbanization" title=" urbanization"> urbanization</a> </p> <a href="https://publications.waset.org/abstracts/188730/evaluating-the-impact-of-urbanization-on-local-biodiversity-and-ecosystem-functioning-a-case-study-of-algiers-algeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188730.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">36</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29545</span> The Community Structure of Fish and its Correlation with Mangrove Forest Litter Production in Panjang Island, Banten Bay, Indonesia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meilisha%20Putri%20Pertiwi">Meilisha Putri Pertiwi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mufti%20Petala%20Patria"> Mufti Petala Patria</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mangrove forest often categorized as a productive ecosystem in trophic water and the highest carbon storage among all the forest types. Mangrove-derived organic matter determines the food web of fish and invertebrates. In Indonesia trophic water ecosystem, 80% commersial fish caught in coastal area are high related to food web in mangrove forest ecosystem. Based on the previous research in Panjang Island, Bojonegara, Banten, Indonesia, removed mangrove litterfall to the sea water were 9,023 g/m³/s for two stations (west station–5,169 g/m³/s and north station-3,854 g/m³/s). The vegetation were dominated from Rhizophora apiculata and Rhizopora stylosa. C element is the highest content (27,303% and 30,373%) than N element (0,427% and 0,35%) and P element (0,19% and 0,143%). The aim of research also to know the diversity of fish inhabit in mangrove forest. Fish sampling is by push net. Fish caught are collected into plastics, total length measured, weigh measured, and individual and total counted. Meanwhile, the 3 modified pipes (1 m long, 5 inches diameter, and a closed one hole part facing the river by using a nylon cloth) set in the water channel connecting mangrove forest and sea water for each stasiun. They placed for 1 hour at low tide. Then calculate the speed of water flow and volume of modified pipes. The fish and mangrove litter will be weigh for wet weight, dry weight, and analyze the C, N, and P element content. The sampling data will be conduct 3 times of month in full moon. The salinity, temperature, turbidity, pH, DO, and the sediment of mangrove forest will be measure too. This research will give information about the fish diversity in mangrove forest, the removed mangrove litterfall to the sea water, the composition of sediment, the total element content (C, N, P) of fish and mangrove litter, and the correlation of element content absorption between fish and mangrove litter. The data will be use for the fish and mangrove ecosystem conservation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fish%20diversity" title="fish diversity">fish diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=mangrove%20forest" title=" mangrove forest"> mangrove forest</a>, <a href="https://publications.waset.org/abstracts/search?q=mangrove%20litter" title=" mangrove litter"> mangrove litter</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20element" title=" carbon element"> carbon element</a>, <a href="https://publications.waset.org/abstracts/search?q=nitrogen%20element" title=" nitrogen element"> nitrogen element</a>, <a href="https://publications.waset.org/abstracts/search?q=P%20element" title=" P element"> P element</a>, <a href="https://publications.waset.org/abstracts/search?q=conservation" title=" conservation"> conservation</a> </p> <a href="https://publications.waset.org/abstracts/23670/the-community-structure-of-fish-and-its-correlation-with-mangrove-forest-litter-production-in-panjang-island-banten-bay-indonesia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23670.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">485</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29544</span> Public Policy as a Component of Entrepreneurship Ecosystems: Challenges of Implementation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jos%C3%A9%20Batista%20de%20Souza%20Neto">José Batista de Souza Neto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This research project has as its theme the implementation of public policies to support micro and small businesses (MSEs). The research problem defined was how public policies for access to markets that drive the entrepreneurial ecosystem of MSEs are implemented. The general objective of this research is to understand the process of implementing a public policy to support the entrepreneurial ecosystem of MSEs by the Support Service for Micro and Small Enterprises of the State of São Paulo (SEBRAESP). Public policies are constituent elements of entrepreneurship ecosystems that influence the creation and development of ventures from the action of the entrepreneur. At the end of the research, it is expected to achieve the results for the following specific objectives: (a) understand how the entrepreneurial ecosystem of MSEs is constituted; (b) understand how market access public policies for MSEs are designed and implemented; (c) understand SEBRAE's role in the entrepreneurship ecosystem; and (d) offer an action plan and monitor its execution up to march, 2023. The field research will be conducted based on Action Research, with a qualitative and longitudinal approach to the data. Data collection will be based on narratives produced since 2019 when the decision to implement Comércio Brasil program, a public policy focused on generating market access for 4280 MSEs yearly, was made. The narratives will be analyzed by the method of document analysis and narrative analysis. It is expected that the research will consolidate the relevance of public policies to market access for MSEs and the role of SEBRAE as a protagonist in the implementation of these public policies in the entrepreneurship ecosystem will be demonstrated. Action research is recognized as an intervention method, it is expected that this research will corroborate its role in supporting management processes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=entrepreneurship" title="entrepreneurship">entrepreneurship</a>, <a href="https://publications.waset.org/abstracts/search?q=entrepreneurship%20ecosystem" title=" entrepreneurship ecosystem"> entrepreneurship ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=public%20policies" title=" public policies"> public policies</a>, <a href="https://publications.waset.org/abstracts/search?q=SEBRAE" title=" SEBRAE"> SEBRAE</a>, <a href="https://publications.waset.org/abstracts/search?q=action%20research" title=" action research"> action research</a> </p> <a href="https://publications.waset.org/abstracts/163947/public-policy-as-a-component-of-entrepreneurship-ecosystems-challenges-of-implementation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163947.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">186</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29543</span> Role of Different Land Use Types on Ecosystem Services Provision in Moribane Forest Reserve - Mozambique</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Francisco%20Domingos%20Francisco">Francisco Domingos Francisco</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tropical forests are key providers of many Ecosystem Services (ES), contributing to human wellbeing on a global and local scale. Communities around and within Moribane Forest Reserve (MFR), Manica Province - Mozambique, benefit from ES through the exploitation of non-wood and wood forest products. The objective was to assess the provisioning capacity of the MFR in woody forest products in species and profiles of interest to local communities in the main sources of extraction. Social data relating to the basic needs of local communities for these products were captured through an exploratory study before this one. From that study, it became known about the most collected wood species, the sources of collection, and their availability in the profiles of greatest interest to them. A field survey through 39 rectangular 50mx20m plots was conducted with 13 plots established in each of the three land-use types (LUT), namely Restricted Forest, Unrestricted Forest, and Disturbed areas. The results show that 89 species were identified, of which 28 (31.4%) are assumed to be the most used by the communities. The number of species of local interest does not vary across the LUT (p>0.05). The most used species (MUS) is distributed in 82% in Restricted Forest, 75% in Unrestricted, and also 75% in Disturbed. Most individuals of both general and MUS found in Unrestricted Forest, and Degraded areas have lower end profiles (5-7 cm), representing 0.77 and 0.26%, respectively. The profile of individuals of species of local interest varies by LUT (p<0.05), and their greatest proportion (0.51%) outside the lower end is found in Restricted Forest. There were no similarities between the LUT for the species in general (JCI <0.5) but between the MUS (JCI >0.5). Conclusion, the areas authorized for the exploitation of wood forest products in the MFR tend to reduce their ability to provide local communities with forest products in species and profiles of their interest. This reduction item is a serious threat to the biodiversity of the Restricted Forest. The study can help the academic community in future studies by replicating the methodology used for monitoring purposes or conducting studies in other similar areas, and the results may support decision-makers in designing better strategies for sustainability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ecosystem%20services" title="ecosystem services">ecosystem services</a>, <a href="https://publications.waset.org/abstracts/search?q=land-use%20types" title=" land-use types"> land-use types</a>, <a href="https://publications.waset.org/abstracts/search?q=local%20communities" title=" local communities"> local communities</a>, <a href="https://publications.waset.org/abstracts/search?q=species%20profile" title=" species profile"> species profile</a>, <a href="https://publications.waset.org/abstracts/search?q=wellbeing" title=" wellbeing"> wellbeing</a>, <a href="https://publications.waset.org/abstracts/search?q=wood%20forest%20product" title=" wood forest product"> wood forest product</a> </p> <a href="https://publications.waset.org/abstracts/149749/role-of-different-land-use-types-on-ecosystem-services-provision-in-moribane-forest-reserve-mozambique" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149749.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">134</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29542</span> Data Transformations in Data Envelopment Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mansour%20Mohammadpour">Mansour Mohammadpour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Data transformation refers to the modification of any point in a data set by a mathematical function. When applying transformations, the measurement scale of the data is modified. Data transformations are commonly employed to turn data into the appropriate form, which can serve various functions in the quantitative analysis of the data. This study addresses the investigation of the use of data transformations in Data Envelopment Analysis (DEA). Although data transformations are important options for analysis, they do fundamentally alter the nature of the variable, making the interpretation of the results somewhat more complex. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20transformation" title="data transformation">data transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20envelopment%20analysis" title=" data envelopment analysis"> data envelopment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=undesirable%20data" title=" undesirable data"> undesirable data</a>, <a href="https://publications.waset.org/abstracts/search?q=negative%20data" title=" negative data"> negative data</a> </p> <a href="https://publications.waset.org/abstracts/192236/data-transformations-in-data-envelopment-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192236.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">20</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29541</span> Functional Traits and Agroecosystem Multifunctionality in Summer Cover Crop Mixtures and Monocultures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Etienne%20Herrick">Etienne Herrick</a> </p> <p class="card-text"><strong>Abstract:</strong></p> As an economically and ecologically feasible method for farmers to introduce greater diversity into their crop rotations, cover cropping presents a valuable opportunity for improving the sustainability of food production. Planted in-between cash crop growing seasons, cover crops serve to enhance agroecosystem functioning, rather than being destined for sale or consumption. In fact, cover crops may hold the capacity to deliver multiple ecosystem functions or services simultaneously (multifunctionality). Building upon this line of research will not only benefit society at present, but also support its continued survival through its potential for restoring depleted soils and reducing the need for energy-intensive and harmful external inputs like fertilizers and pesticides. This study utilizes a trait-based approach to explore the influence of inter- and intra-specific interactions in summer cover crop mixtures and monocultures on functional trait expression and ecosystem services. Functional traits that enhance ecosystem services related to agricultural production include height, specific leaf area (SLA), root, shoot ratio, leaf C and N concentrations, and flowering phenology. Ecosystem services include biomass production, weed suppression, reduced N leaching, N recycling, and support of pollinators. Employing a trait-based approach may allow for the elucidation of mechanistic links between plant structure and resulting ecosystem service delivery. While relationships between some functional traits and the delivery of particular ecosystem services may be readily apparent through existing ecological knowledge (e.g. height positively correlating with weed suppression), this study will begin to quantify those relationships so as to gain further understanding of whether and how measurable variation in functional trait expression across cover crop mixtures and monocultures can serve as a reliable predictor of variation in the types and abundances of ecosystem services delivered. Six cover crop species, including legume, grass, and broadleaf functional types, were selected for growth in six mixtures and their component monocultures based upon the principle of trait complementarity. The tricultures (three-way mixtures) are comprised of a legume, grass, and broadleaf species, and include cowpea/sudex/buckwheat, sunnhemp/sudex/buckwheat, and chickling vetch/oat/buckwheat combinations; the dicultures contain the same legume and grass combinations as above, without the buckwheat broadleaf. By combining species with expectedly complimentary traits (for example, legumes are N suppliers and grasses are N acquirers, creating a nutrient cycling loop) the cover crop mixtures may elicit a broader range of ecosystem services than that provided by a monoculture, though trade-offs could exist. Collecting functional trait data will enable the investigation of the types of interactions driving these ecosystem service outcomes. It also allows for generalizability across a broader range of species than just those selected for this study, which may aid in informing further research efforts exploring species and ecosystem functioning, as well as on-farm management decisions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agroecology" title="agroecology">agroecology</a>, <a href="https://publications.waset.org/abstracts/search?q=cover%20crops" title=" cover crops"> cover crops</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20traits" title=" functional traits"> functional traits</a>, <a href="https://publications.waset.org/abstracts/search?q=multifunctionality" title=" multifunctionality"> multifunctionality</a>, <a href="https://publications.waset.org/abstracts/search?q=trait%20complementarity" title=" trait complementarity"> trait complementarity</a> </p> <a href="https://publications.waset.org/abstracts/79019/functional-traits-and-agroecosystem-multifunctionality-in-summer-cover-crop-mixtures-and-monocultures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79019.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29540</span> Survey on Big Data Stream Classification by Decision Tree</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mansoureh%20Ghiasabadi%20Farahani">Mansoureh Ghiasabadi Farahani</a>, <a href="https://publications.waset.org/abstracts/search?q=Samira%20Kalantary"> Samira Kalantary</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Taghi-Pour"> Sara Taghi-Pour</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahboubeh%20Shamsi"> Mahboubeh Shamsi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, the development of computers technology and its recent applications provide access to new types of data, which have not been considered by the traditional data analysts. Two particularly interesting characteristics of such data sets include their huge size and streaming nature .Incremental learning techniques have been used extensively to address the data stream classification problem. This paper presents a concise survey on the obstacles and the requirements issues classifying data streams with using decision tree. The most important issue is to maintain a balance between accuracy and efficiency, the algorithm should provide good classification performance with a reasonable time response. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data" title="big data">big data</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20streams" title=" data streams"> data streams</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20tree" title=" decision tree"> decision tree</a> </p> <a href="https://publications.waset.org/abstracts/31107/survey-on-big-data-stream-classification-by-decision-tree" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/31107.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">521</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">29539</span> Assessment of Community Perceptions of Mangrove Ecosystem Services and Their Link to SDGs in Vanga, Kenya </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Samson%20Obiene">Samson Obiene</a>, <a href="https://publications.waset.org/abstracts/search?q=Khamati%20Shilabukha"> Khamati Shilabukha</a>, <a href="https://publications.waset.org/abstracts/search?q=Geoffrey%20Muga"> Geoffrey Muga</a>, <a href="https://publications.waset.org/abstracts/search?q=James%20Kairo"> James Kairo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mangroves play a vital role in the achievement of multiple goals of global sustainable development (SDG’s), particularly SDG SDG 14 (life under water). Their management, however, is faced with several shortcomings arising from inadequate knowledge on the perceptions of their ecosystem services, hence a need to map mangrove goods and services within SDGs while interrogating the disaggregated perceptions. This study therefore aimed at exploring the parities and disparities in attitudes and perceptions of mangrove ecosystem services among community members of Vanga and the link of the ecosystem services (ESs) to specific SDG targets. The study was based at the Kenya-Tanzania transboundary area in Vanga; where a carbon-offset project on mangroves is being up scaled. Mixed methods approach employing surveys, focus group discussions (FGDs) and reviews of secondary data were used in the study. A two stage cluster samplings was used to select the study population and the sample size. FGDs were conducted purposively selecting active participants in mangrove related activities with distinct socio-demographic characteristics. Sampled respondents comprised of males and females of different occupations and age groups. Secondary data review was used to select specific SDG targets against which mangrove ecosystem services identified through a value chain analysis were mapped. In Vanga, 20 ecosystem services were identified and categorized under supporting, cultural and aesthetic, provisioning and regulating services. According to the findings of this study, 63.9% (95% ci 56.6-69.3) perceived of the ESs as very important for economic development, 10.3% (95% ci 0-21.3) viewed them as important for environmental and ecological development while 25.8% (95% ci 2.2-32.8) were not sure of any role they play in development. In the social-economic disaggregation, ecosystem service values were found to vary with the level of interaction with the ecosystem which depended on gender and other social-economic classes within the study area. The youths, low income earners, women and those with low education levels were also identified as the primary beneficiaries of mangrove ecosystem services. The study also found that of the 17 SDGs, mangroves have a potential of influencing the achievement 12, including, SDGs 1, 2, 3, 4, 6, 8 10, 12, 13, 14, 15 and 17 either directly or indirectly. Generally therefore, the local community is aware of the critical importance mangroves for enhanced livelihood and ecological services but challenges in sustainability still occur as a result the diverse values and of the services and the contradicting interests of the different actors around the ecosystem. It is therefore important to consider parities in values and perception to avoid a ‘tragedy of the commons’ while striving to enhance sustainability of the Mangrove ecosystem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainable%20development" title="sustainable development">sustainable development</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20values" title=" community values"> community values</a>, <a href="https://publications.waset.org/abstracts/search?q=socio-demographics" title=" socio-demographics"> socio-demographics</a>, <a href="https://publications.waset.org/abstracts/search?q=Vanga" title=" Vanga"> Vanga</a>, <a href="https://publications.waset.org/abstracts/search?q=mangrove%20ecosystem%20services" title=" mangrove ecosystem services"> mangrove ecosystem services</a> </p> <a href="https://publications.waset.org/abstracts/106780/assessment-of-community-perceptions-of-mangrove-ecosystem-services-and-their-link-to-sdgs-in-vanga-kenya" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/106780.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=big%20data%20types.%20big%20data%20ecosystem&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=big%20data%20types.%20big%20data%20ecosystem&page=3">3</a></li> <li class="page-item"><a class="page-link" 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