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generation</title> <meta name="description" content="Search results for: data generation"> <meta name="keywords" content="data generation"> <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 Excellence" /> </a> <button class="d-block d-lg-none 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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="data generation"> <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> 27551</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: data generation</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">27551</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">27550</span> Analyzing Test Data Generation Techniques Using Evolutionary Algorithms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arslan%20Ellahi">Arslan Ellahi</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20Amjad%20Hussain"> Syed Amjad Hussain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software Testing is a vital process in software development life cycle. We can attain the quality of software after passing it through software testing phase. We have tried to find out automatic test data generation techniques that are a key research area of software testing to achieve test automation that can eventually decrease testing time. In this paper, we review some of the approaches presented in the literature which use evolutionary search based algorithms like Genetic Algorithm, Particle Swarm Optimization (PSO), etc. to validate the test data generation process. We also look into the quality of test data generation which increases or decreases the efficiency of testing. We have proposed test data generation techniques for model-based testing. We have worked on tuning and fitness function of PSO algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=search%20based" title="search based">search based</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20algorithm" title=" evolutionary algorithm"> evolutionary algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=particle%20swarm%20optimization" title=" particle swarm optimization"> particle swarm optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=test%20data%20generation" title=" test data generation"> test data generation</a> </p> <a href="https://publications.waset.org/abstracts/92727/analyzing-test-data-generation-techniques-using-evolutionary-algorithms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92727.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">190</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">27549</span> Big Data Strategy for Telco: Network Transformation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Amin">F. Amin</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Feizi"> S. Feizi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Big data has the potential to improve the quality of services; enable infrastructure that businesses depend on to adapt continually and efficiently; improve the performance of employees; help organizations better understand customers; and reduce liability risks. Analytics and marketing models of fixed and mobile operators are falling short in combating churn and declining revenue per user. Big Data presents new method to reverse the way and improve profitability. The benefits of Big Data and next-generation network, however, are more exorbitant than improved customer relationship management. Next generation of networks are in a prime position to monetize rich supplies of customer information—while being mindful of legal and privacy issues. As data assets are transformed into new revenue streams will become integral to high performance. <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=next%20generation%20networks" title=" next generation networks"> next generation networks</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20transformation" title=" network transformation"> network transformation</a>, <a href="https://publications.waset.org/abstracts/search?q=strategy" title=" strategy"> strategy</a> </p> <a href="https://publications.waset.org/abstracts/4387/big-data-strategy-for-telco-network-transformation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/4387.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">360</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">27548</span> From Modeling of Data Structures towards Automatic Programs Generating</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Valentin%20P.%20Velikov">Valentin P. Velikov</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Automatic program generation saves time, human resources, and allows receiving syntactically clear and logically correct modules. The 4-th generation programming languages are related to drawing the data and the processes of the subject area, as well as, to obtain a frame of the respective information system. The application can be separated in interface and business logic. That means, for an interactive generation of the needed system to be used an already existing toolkit or to be created a new one. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer%20science" title="computer science">computer science</a>, <a href="https://publications.waset.org/abstracts/search?q=graphical%20user%20interface" title=" graphical user interface"> graphical user interface</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20dialog%20interface" title=" user dialog interface"> user dialog interface</a>, <a href="https://publications.waset.org/abstracts/search?q=dialog%20frames" title=" dialog frames"> dialog frames</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20modeling" title=" data modeling"> data modeling</a>, <a href="https://publications.waset.org/abstracts/search?q=subject%20area%20modeling" title=" subject area modeling"> subject area modeling</a> </p> <a href="https://publications.waset.org/abstracts/41471/from-modeling-of-data-structures-towards-automatic-programs-generating" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41471.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">305</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">27547</span> Design of a Photovoltaic Power Generation System Based on Artificial Intelligence and Internet of Things </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wei%20Hu">Wei Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenguang%20Chen"> Wenguang Chen</a>, <a href="https://publications.waset.org/abstracts/search?q=Chong%20Dong"> Chong Dong</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to improve the efficiency and safety of photovoltaic power generation devices, this photovoltaic power generation system combines Artificial Intelligence (AI) and the Internet of Things (IoT) to control the chasing photovoltaic power generation device to track the sun to improve power generation efficiency and then convert energy management. The system uses artificial intelligence as the control terminal, the power generation device executive end uses the Linux system, and Exynos4412 is the CPU. The power generating device collects the sun image information through Sony CCD. After several power generating devices feedback the data to the CPU for processing, several CPUs send the data to the artificial intelligence control terminal through the Internet. The control terminal integrates the executive terminal information, time information, and environmental information to decide whether to generate electricity normally and then whether to convert the converted electrical energy into the grid or store it in the battery pack. When the power generation environment is abnormal, the control terminal authorizes the protection strategy, the power generation device executive terminal stops power generation and enters a self-protection posture, and at the same time, the control terminal synchronizes the data with the cloud. At the same time, the system is more intelligent, more adaptive, and longer life. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photo-voltaic%20power%20generation" title="photo-voltaic power generation">photo-voltaic power generation</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20pursuit%20of%20light" title=" the pursuit of light"> the pursuit of light</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20intelligence" title=" artificial intelligence"> artificial intelligence</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20array" title=" photovoltaic array"> photovoltaic array</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20management" title=" power management "> power management </a> </p> <a href="https://publications.waset.org/abstracts/126383/design-of-a-photovoltaic-power-generation-system-based-on-artificial-intelligence-and-internet-of-things" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126383.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">123</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">27546</span> The Importance of Generating Electricity through Wind Farms in the Brazilian Electricity Matrix, from 2013 to 2020</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alex%20Sidarta%20Guglielmoni">Alex Sidarta Guglielmoni</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Since the 1970s, sustainable development has become increasingly present on the international agenda. The present work has as general objective to analyze, discuss and bring answers to the following question, what is the importance of the generation of electric energy through the wind power plants in the Brazilian electricity matrix between 2013 and 2019? To answer this question, we analyzed the generation of renewable energy from wind farms and the consumption of electricity in Brazil during the period of January 2013 until December 2020. The specific objectives of this research are: to analyze the public data, to identify the total wind generation, to identify the total wind capacity generation, to identify the percentage participation of the generation and generation capacity of wind energy in the Brazilian electricity matrix. In order to develop this research, it was necessary a bibliographic search, collection of secondary data, tabulation of generation data, and electricity capacity by a comparative analysis between wind power and the Brazilian electricity matrix. As a result, it was possible to observe how important Brazil is for global sustainable development and how much this country can grow with this, in view of its capacity and potential for generating wind power since this percentage has grown in past few years. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20power" title="wind power">wind power</a>, <a href="https://publications.waset.org/abstracts/search?q=Brazilian%20market" title=" Brazilian market"> Brazilian market</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity%20matrix" title=" electricity matrix"> electricity matrix</a>, <a href="https://publications.waset.org/abstracts/search?q=generation%20capacity" title=" generation capacity"> generation capacity</a> </p> <a href="https://publications.waset.org/abstracts/128915/the-importance-of-generating-electricity-through-wind-farms-in-the-brazilian-electricity-matrix-from-2013-to-2020" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128915.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">126</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">27545</span> Natural Language News Generation from Big Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bastian%20Haarmann">Bastian Haarmann</a>, <a href="https://publications.waset.org/abstracts/search?q=Likas%20Sikorski"> Likas Sikorski</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we introduce an NLG application for the automatic creation of ready-to-publish texts from big data. The fully automatic generated stories have a high resemblance to the style in which the human writer would draw up a news story. Topics may include soccer games, stock exchange market reports, weather forecasts and many more. The generation of the texts runs according to the human language production. Each generated text is unique. Ready-to-publish stories written by a computer application can help humans to quickly grasp the outcomes of big data analyses, save time-consuming pre-formulations for journalists and cater to rather small audiences by offering stories that would otherwise not exist. <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=natural%20language%20generation" title=" natural language generation"> natural language generation</a>, <a href="https://publications.waset.org/abstracts/search?q=publishing" title=" publishing"> publishing</a>, <a href="https://publications.waset.org/abstracts/search?q=robotic%20journalism" title=" robotic journalism"> robotic journalism</a> </p> <a href="https://publications.waset.org/abstracts/27303/natural-language-news-generation-from-big-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27303.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">431</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">27544</span> Automatic MC/DC Test Data Generation from Software Module Description</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sekou%20Kangoye">Sekou Kangoye</a>, <a href="https://publications.waset.org/abstracts/search?q=Alexis%20Todoskoff"> Alexis Todoskoff</a>, <a href="https://publications.waset.org/abstracts/search?q=Mihaela%20Barreau"> Mihaela Barreau</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Modified Condition/Decision Coverage (MC/DC) is a structural coverage criterion that is highly recommended or required for safety-critical software coverage. Therefore, many testing standards include this criterion and require it to be satisfied at a particular level of testing (e.g. validation and unit levels). However, an important amount of time is needed to meet those requirements. In this paper we propose to automate MC/DC test data generation. Thus, we present an approach to automatically generate MC/DC test data, from software module description written over a dedicated language. We introduce a new merging approach that provides high MC/DC coverage for the description, with only a little number of test cases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=domain-specific%20language" title="domain-specific language">domain-specific language</a>, <a href="https://publications.waset.org/abstracts/search?q=MC%2FDC" title=" MC/DC"> MC/DC</a>, <a href="https://publications.waset.org/abstracts/search?q=test%20data%20generation" title=" test data generation"> test data generation</a>, <a href="https://publications.waset.org/abstracts/search?q=safety-critical%20software%20coverage" title=" safety-critical software coverage"> safety-critical software coverage</a> </p> <a href="https://publications.waset.org/abstracts/29445/automatic-mcdc-test-data-generation-from-software-module-description" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29445.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">441</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">27543</span> 3G or 4G: A Predilection for Millennial Generation of Indian Society</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rishi%20Prajapati">Rishi Prajapati</a> </p> <p class="card-text"><strong>Abstract:</strong></p> 3G is the abbreviation of third generation of wireless mobile telecommunication technologies. 3G is a mode that finds application in wireless voice telephony, mobile internet access, fixed wireless internet access, video calls and mobile TV. It also provides mobile broadband access to smartphones and mobile modems in laptops and computers. The first 3G networks were introduced in 1998, followed by 4G networks in 2008. 4G is the abbreviation of fourth generation of wireless mobile telecommunication technologies. 4G is termed to be the advanced form of 3G. 4G was firstly introduced in South Korea in 2007. Many abstracts have floated researches that depicted the diversity and similarity between the third and the fourth generation of wireless mobile telecommunications technology, whereas this abstract reflects the study that focuses on analyzing the preference between 3G versus 4G given by the elite group of the Indian society who are known as adolescents or the Millennial Generation aging from 18 years to 25 years. The Millennial Generation was chosen for this study as they have the easiest access to the latest technology. A sample size of 200 adolescents was selected and a structured survey was carried out which had several closed ended as well as open ended questions, to aggregate the result of this study. It was made sure that the effect of environmental factors on the subjects was as minimal as possible. The data analysis comprised of primary data collection reflecting it as quantitative research. The rationale behind this research is to give brief idea of how 3G and 4G are accepted by the Millennial Generation in India. The findings of this research would materialize a framework which depicts whether Millennial Generation would prefer 4G over 3G or vice versa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fourth%20generation" title="fourth generation">fourth generation</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20telecommunication%20technology" title=" wireless telecommunication technology"> wireless telecommunication technology</a>, <a href="https://publications.waset.org/abstracts/search?q=Indian%20society" title=" Indian society"> Indian society</a>, <a href="https://publications.waset.org/abstracts/search?q=millennial%20generation" title=" millennial generation"> millennial generation</a>, <a href="https://publications.waset.org/abstracts/search?q=market%20research" title=" market research"> market research</a>, <a href="https://publications.waset.org/abstracts/search?q=third%20generation" title=" third generation"> third generation</a> </p> <a href="https://publications.waset.org/abstracts/56902/3g-or-4g-a-predilection-for-millennial-generation-of-indian-society" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/56902.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">270</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">27542</span> Pruning Algorithm for the Minimum Rule Reduct Generation </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sahin%20Emrah%20Amrahov">Sahin Emrah Amrahov</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatih%20Aybar"> Fatih Aybar</a>, <a href="https://publications.waset.org/abstracts/search?q=Serhat%20Dogan"> Serhat Dogan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we consider the rule reduct generation problem. Rule Reduct Generation (RG) and Modified Rule Generation (MRG) algorithms, that are used to solve this problem, are well-known. Alternative to these algorithms, we develop Pruning Rule Generation (PRG) algorithm. We compare the PRG algorithm with RG and MRG. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rough%20sets" title="rough sets">rough sets</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20rules" title=" decision rules"> decision rules</a>, <a href="https://publications.waset.org/abstracts/search?q=rule%20induction" title=" rule induction"> rule induction</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a> </p> <a href="https://publications.waset.org/abstracts/17254/pruning-algorithm-for-the-minimum-rule-reduct-generation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17254.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">528</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">27541</span> Local Revenue Generation: Its Contribution to the Development of the Municipality of Bacolod, Lanao Del Sur</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Louvill%20M.%20Ozarraga">Louvill M. Ozarraga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> this study was designed to ascertain the concept of the revenue generation system of Bacolod, Lanao del Norte, through the completely enumerated elected officials and permanent employees sample respondents. The pertinent data were obtained through the use of a structured questionnaire and with the help of key informants. The study utilized a cross-sectional survey design to analyze and interpret the data using frequency count, percentage distribution, and weighted mean. For the major findings, the local revenue generation of the Municipality has increased by Php 4,465,394.21, roughly 73.52%, from the years 2018 to 2020. Administrative activities help the Municipality cope with development, namely, the issuance of ordinances, personnel augmentation, and collection strategies. Moreover, respondents were undecided about whether revenue generation contributed to infrastructures and purchases of assets. The majority of the respondents agreed that the municipality’s local revenue generation contributes to the social welfare of its constituents. Also, the respondents disagreed that locally generated revenue augments the 20% development fund. The study revealed that there is a big difference between the 2018 and 2020 Real Property Tax (RPT) collection. No committee was created to monitor and supervise the municipal revenue generation system. The Municipality, through a partnership with TESDA, provides skilled-job opportunity to its constituents and participants <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Local%20Revenue%20Generation%3A%20Its%20Contribution%20To%20The%20Development%20Of%20The%20Municipality%20Of%20Bacolod" title="Local Revenue Generation: Its Contribution To The Development Of The Municipality Of Bacolod">Local Revenue Generation: Its Contribution To The Development Of The Municipality Of Bacolod</a>, <a href="https://publications.waset.org/abstracts/search?q=Lanao%20Del%20Sur" title=" Lanao Del Sur"> Lanao Del Sur</a> </p> <a href="https://publications.waset.org/abstracts/156456/local-revenue-generation-its-contribution-to-the-development-of-the-municipality-of-bacolod-lanao-del-sur" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156456.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">74</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">27540</span> Reliable Multicast Communication in Next Generation Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Muazzam%20Ali%20Khan%20Khattak">Muazzam Ali Khan Khattak</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Next Generation Network is combination of different networks having different technologies. Due to mobile nature of nodes the movement of nodes occurs from one network to another network. Multicasting in such networks is still a hot issue of research because the user in today's world wants reliable communication wherever it lies. Due to heterogeneity of NGN it is very difficult to handle reliable multicast communication. In this paper we proposed an improved scheme for reliable multicast communication in next generation networks. Because multicast communication is very important to deliver same data packets to multiple receivers and minimize the network traffic. This new scheme will make the multicast communication in NGN more reliable and efficient. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20networks" title="next generation networks">next generation networks</a>, <a href="https://publications.waset.org/abstracts/search?q=route%20request" title=" route request"> route request</a>, <a href="https://publications.waset.org/abstracts/search?q=IPT" title=" IPT"> IPT</a>, <a href="https://publications.waset.org/abstracts/search?q=NACK" title=" NACK"> NACK</a>, <a href="https://publications.waset.org/abstracts/search?q=ARQ" title=" ARQ"> ARQ</a>, <a href="https://publications.waset.org/abstracts/search?q=DTN" title=" DTN"> DTN</a> </p> <a href="https://publications.waset.org/abstracts/1931/reliable-multicast-communication-in-next-generation-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1931.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">503</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">27539</span> Redefining Solar Generation Estimation: A Comprehensive Analysis of Real Utility Advanced Metering Infrastructure (AMI) Data from Various Projects in New York</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haowei%20Lu">Haowei Lu</a>, <a href="https://publications.waset.org/abstracts/search?q=Anaya%20Aaron"> Anaya Aaron</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Understanding historical solar generation and forecasting future solar generation from interconnected Distributed Energy Resources (DER) is crucial for utility planning and interconnection studies. The existing methodology, which relies on solar radiation, weather data, and common inverter models, is becoming less accurate. Rapid advancements in DER technologies have resulted in more diverse project sites, deviating from common patterns due to various factors such as DC/AC ratio, solar panel performance, tilt angle, and the presence of DC-coupled battery energy storage systems. In this paper, the authors review 10,000 DER projects within the system and analyze the Advanced Metering Infrastructure (AMI) data for various types to demonstrate the impact of different parameters. An updated methodology is proposed for redefining historical and future solar generation in distribution feeders. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=photovoltaic%20system" title="photovoltaic system">photovoltaic system</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20energy" title=" solar energy"> solar energy</a>, <a href="https://publications.waset.org/abstracts/search?q=fluctuations" title=" fluctuations"> fluctuations</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20storage" title=" energy storage"> energy storage</a>, <a href="https://publications.waset.org/abstracts/search?q=uncertainty" title=" uncertainty"> uncertainty</a> </p> <a href="https://publications.waset.org/abstracts/188203/redefining-solar-generation-estimation-a-comprehensive-analysis-of-real-utility-advanced-metering-infrastructure-ami-data-from-various-projects-in-new-york" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188203.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">32</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">27538</span> On an Approach for Rule Generation in Association Rule Mining</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Chandra">B. Chandra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Association Rule Mining, much attention has been paid for developing algorithms for large (frequent/closed/maximal) itemsets but very little attention has been paid to improve the performance of rule generation algorithms. Rule generation is an important part of Association Rule Mining. In this paper, a novel approach named NARG (Association Rule using Antecedent Support) has been proposed for rule generation that uses memory resident data structure named FCET (Frequent Closed Enumeration Tree) to find frequent/closed itemsets. In addition, the computational speed of NARG is enhanced by giving importance to the rules that have lower antecedent support. Comparative performance evaluation of NARG with fast association rule mining algorithm for rule generation has been done on synthetic datasets and real life datasets (taken from UCI Machine Learning Repository). Performance analysis shows that NARG is computationally faster in comparison to the existing algorithms for rule generation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=knowledge%20discovery" title="knowledge discovery">knowledge discovery</a>, <a href="https://publications.waset.org/abstracts/search?q=association%20rule%20mining" title=" association rule mining"> association rule mining</a>, <a href="https://publications.waset.org/abstracts/search?q=antecedent%20support" title=" antecedent support"> antecedent support</a>, <a href="https://publications.waset.org/abstracts/search?q=rule%20generation" title=" rule generation"> rule generation</a> </p> <a href="https://publications.waset.org/abstracts/44331/on-an-approach-for-rule-generation-in-association-rule-mining" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44331.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">324</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">27537</span> Local Revenue Generation: Its Contribution to the Development of the Municipality of Bacolod, Lanao Del Norte</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Louvill%20Manangan%20Ozarraga">Louvill Manangan Ozarraga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> this study was designed to ascertain the concept of revenue generation system of Bacolod, Lanao del Norte, through the completely enumerated elected officials and permanent employees sample respondents. The pertinent data were obtained through the use of structured questionnaire and with the help of key informants. The study utilized a cross-sectional survey design to analyze and interpret the data using frequency count, percentage distribution, and weighted mean. For the major findings, the local revenue generation of the Municipality has increased by Php 4,465,394.21 roughly 73.52% from years 2018 to 2020. Administrative activities help the Municipality cope up with development namely, issuance of ordinance, personnel augmentation and collection strategies. Moreover, respondents were undecided whether revenue generation contributed to infrastructures and purchases of assets. Majority of the respondents agreed that the municipality’s local revenue generation contributes to the social welfare of its constituents. Also, the respondents disagreed that locally generated revenue augments the 20% development fund. The study revealed that there is a big difference on the 2018 and 2020 Real Property Tax (RPT) collection. No committee was created to monitor and supervise the municipal revenue generation system. The Municipality, through partnership with TESDA, provides skilled-job opportunity to its constituents and participants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=contribution" title="contribution">contribution</a>, <a href="https://publications.waset.org/abstracts/search?q=development" title=" development"> development</a>, <a href="https://publications.waset.org/abstracts/search?q=Bacolod%20Lanao%20del%20Norte" title=" Bacolod Lanao del Norte"> Bacolod Lanao del Norte</a>, <a href="https://publications.waset.org/abstracts/search?q=revenue%20generation%20system" title=" revenue generation system"> revenue generation system</a> </p> <a href="https://publications.waset.org/abstracts/156414/local-revenue-generation-its-contribution-to-the-development-of-the-municipality-of-bacolod-lanao-del-norte" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156414.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">79</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">27536</span> Business-Intelligence Mining of Large Decentralized Multimedia Datasets with a Distributed Multi-Agent System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karima%20Qayumi">Karima Qayumi</a>, <a href="https://publications.waset.org/abstracts/search?q=Alex%20Norta"> Alex Norta</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rapid generation of high volume and a broad variety of data from the application of new technologies pose challenges for the generation of business-intelligence. Most organizations and business owners need to extract data from multiple sources and apply analytical methods for the purposes of developing their business. Therefore, the recently decentralized data management environment is relying on a distributed computing paradigm. While data are stored in highly distributed systems, the implementation of distributed data-mining techniques is a challenge. The aim of this technique is to gather knowledge from every domain and all the datasets stemming from distributed resources. As agent technologies offer significant contributions for managing the complexity of distributed systems, we consider this for next-generation data-mining processes. To demonstrate agent-based business intelligence operations, we use agent-oriented modeling techniques to develop a new artifact for mining massive datasets. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agent-oriented%20modeling%20%28AOM%29" title="agent-oriented modeling (AOM)">agent-oriented modeling (AOM)</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20intelligence%20model%20%28BIM%29" title=" business intelligence model (BIM)"> business intelligence model (BIM)</a>, <a href="https://publications.waset.org/abstracts/search?q=distributed%20data%20mining%20%28DDM%29" title=" distributed data mining (DDM)"> distributed data mining (DDM)</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-agent%20system%20%28MAS%29" title=" multi-agent system (MAS)"> multi-agent system (MAS)</a> </p> <a href="https://publications.waset.org/abstracts/44164/business-intelligence-mining-of-large-decentralized-multimedia-datasets-with-a-distributed-multi-agent-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44164.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">432</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">27535</span> Exploring the Travel Preferences of Generation Z: A Look into the Next Generation of Tourists</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Panidou">M. Panidou</a>, <a href="https://publications.waset.org/abstracts/search?q=F.%20Kilipiris"> F. Kilipiris</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20Christou"> E. Christou</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Alexandris"> K. Alexandris</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study focuses on Generation Z, the next generation of tourists born between 1996 and 2012. Given their significant population size, Generation Z is expected to have a substantial impact on the travel and tourism sector. Therefore, understanding their travel preferences is crucial for businesses in the hospitality and tourism industry. By examining their travel preferences, this research aims to identify the unique characteristics and motivations of this generation when it comes to travel. This study used a quantitative method, and primary data was collected through a survey (online questionnaire), while secondary data was gathered from academic literature, industry reports, and online sources to provide a comprehensive analysis of the topic. The sample of the study was 100 Greek individuals aged between 18-26 years old. The data was analyzed with the support of SPSS software. The findings of the research indicated that technology, sustainability, and budget-friendly options are essential components for attracting and retaining Generation Z tourists. These preferences highlight the importance of incorporating innovative technologies, promoting sustainable practices, and offering affordable travel options to effectively engage this market niche. This research contributes to the field of hospitality and tourism businesses by providing valuable insights into the travel preferences of Generation Z. By understanding their distinct features and preferences; businesses can tailor their strategies and marketing efforts to effectively engage and retain this market segment. Considering the limitations of the sample size, future studies could aim for a larger and more diverse sample to enhance the generalizability of the findings. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gen%20Z" title="gen Z">gen Z</a>, <a href="https://publications.waset.org/abstracts/search?q=technology" title=" technology"> technology</a>, <a href="https://publications.waset.org/abstracts/search?q=travel%20preferences" title=" travel preferences"> travel preferences</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainability" title=" sustainability"> sustainability</a> </p> <a href="https://publications.waset.org/abstracts/177840/exploring-the-travel-preferences-of-generation-z-a-look-into-the-next-generation-of-tourists" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/177840.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">86</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">27534</span> Load Forecasting Using Neural Network Integrated with Economic Dispatch Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mariyam%20Arif">Mariyam Arif</a>, <a href="https://publications.waset.org/abstracts/search?q=Ye%20Liu"> Ye Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Israr%20Ul%20Haq"> Israr Ul Haq</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahsan%20Ashfaq"> Ahsan Ashfaq</a> </p> <p class="card-text"><strong>Abstract:</strong></p> High cost of fossil fuels and intensifying installations of alternate energy generation sources are intimidating main challenges in power systems. Making accurate load forecasting an important and challenging task for optimal energy planning and management at both distribution and generation side. There are many techniques to forecast load but each technique comes with its own limitation and requires data to accurately predict the forecast load. Artificial Neural Network (ANN) is one such technique to efficiently forecast the load. Comparison between two different ranges of input datasets has been applied to dynamic ANN technique using MATLAB Neural Network Toolbox. It has been observed that selection of input data on training of a network has significant effects on forecasted results. Day-wise input data forecasted the load accurately as compared to year-wise input data. The forecasted load is then distributed among the six generators by using the linear programming to get the optimal point of generation. The algorithm is then verified by comparing the results of each generator with their respective generation limits. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20networks" title="artificial neural networks">artificial neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=demand-side%20management" title=" demand-side management"> demand-side management</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20dispatch" title=" economic dispatch"> economic dispatch</a>, <a href="https://publications.waset.org/abstracts/search?q=linear%20programming" title=" linear programming"> linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=power%20generation%20dispatch" title=" power generation dispatch"> power generation dispatch</a> </p> <a href="https://publications.waset.org/abstracts/100218/load-forecasting-using-neural-network-integrated-with-economic-dispatch-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/100218.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">189</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">27533</span> Homogenization of Culture and Its Effect on Preferred Reading of Media Communications Aimed at Members of Generation Z</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Philip%20Katz">Philip Katz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research examines preferred reading of contemporary ads aimed at Generation Z through digital media. A qualitative analysis of focus groups consisting of members of Generation Z from 13 countries in Europe, the Middle East, South America and Asia has shown that, among this cohort, the influence of national culture does not create a strong impediment to understanding media communications targeting Generation Z. The familiarity of members of Generation Z with other countries’ popular culture through the spread of digital media has allowed a homogenizing effect and allowed a greater understanding of those cultures among this generation that lessens the impact of geographic separation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=audience" title="audience">audience</a>, <a href="https://publications.waset.org/abstracts/search?q=Generation%20Z" title=" Generation Z"> Generation Z</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20communication" title=" marketing communication"> marketing communication</a>, <a href="https://publications.waset.org/abstracts/search?q=preferred%20reading" title=" preferred reading"> preferred reading</a> </p> <a href="https://publications.waset.org/abstracts/128834/homogenization-of-culture-and-its-effect-on-preferred-reading-of-media-communications-aimed-at-members-of-generation-z" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128834.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">177</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">27532</span> Statistically Accurate Synthetic Data Generation for Enhanced Traffic Predictive Modeling Using Generative Adversarial Networks and Long Short-Term Memory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Srinivas%20Peri">Srinivas Peri</a>, <a href="https://publications.waset.org/abstracts/search?q=Siva%20Abhishek%20Sirivella"> Siva Abhishek Sirivella</a>, <a href="https://publications.waset.org/abstracts/search?q=Tejaswini%20Kallakuri"> Tejaswini Kallakuri</a>, <a href="https://publications.waset.org/abstracts/search?q=Uzair%20Ahmad"> Uzair Ahmad</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Effective traffic management and infrastructure planning are crucial for the development of smart cities and intelligent transportation systems. This study addresses the challenge of data scarcity by generating realistic synthetic traffic data using the PeMS-Bay dataset, improving the accuracy and reliability of predictive modeling. Advanced synthetic data generation techniques, including TimeGAN, GaussianCopula, and PAR Synthesizer, are employed to produce synthetic data that replicates the statistical and structural characteristics of real-world traffic. Future integration of Spatial-Temporal Generative Adversarial Networks (ST-GAN) is planned to capture both spatial and temporal correlations, further improving data quality and realism. The performance of each synthetic data generation model is evaluated against real-world data to identify the best models for accurately replicating traffic patterns. Long Short-Term Memory (LSTM) networks are utilized to model and predict complex temporal dependencies within traffic patterns. This comprehensive approach aims to pinpoint areas with low vehicle counts, uncover underlying traffic issues, and inform targeted infrastructure interventions. By combining GAN-based synthetic data generation with LSTM-based traffic modeling, this study supports data-driven decision-making that enhances urban mobility, safety, and the overall efficiency of city planning initiatives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=GAN" title="GAN">GAN</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20short-term%20memory" title=" long short-term memory"> long short-term memory</a>, <a href="https://publications.waset.org/abstracts/search?q=synthetic%20data%20generation" title=" synthetic data generation"> synthetic data generation</a>, <a href="https://publications.waset.org/abstracts/search?q=traffic%20management" title=" traffic management"> traffic management</a> </p> <a href="https://publications.waset.org/abstracts/191235/statistically-accurate-synthetic-data-generation-for-enhanced-traffic-predictive-modeling-using-generative-adversarial-networks-and-long-short-term-memory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191235.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">26</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">27531</span> Impact of Instagram Food Bloggers on Consumer (Generation Z) Decision Making Process in Islamabad. Pakistan</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tabinda%20Sadiq">Tabinda Sadiq</a>, <a href="https://publications.waset.org/abstracts/search?q=Tehmina%20Ashfaq%20Qazi"> Tehmina Ashfaq Qazi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hoor%20Shumail"> Hoor Shumail</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, the advent of emerging technology has created an emerging generation of restaurant marketing. It explores the aspects that influence customers’ decision-making process in selecting a restaurant after reading food bloggers' reviews online. The motivation behind this research is to investigate the correlation between the credibility of the source and their attitude toward restaurant visits. The researcher collected the data by distributing a survey questionnaire through google forms by employing the Source credibility theory. Non- probability purposive sampling technique was used to collect data. The questionnaire used a predeveloped and validated scale by Ohanian to measure the relationship. Also, the researcher collected data from 250 respondents in order to investigate the influence of food bloggers on Gen Z's decision-making process. SPSS statistical version 26 was used for statistical testing and analyzing the data. The findings of the survey revealed that there is a moderate positive correlation between the variables. So, it can be analyzed that food bloggers do have an impact on Generation Z's decision making process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=credibility" title="credibility">credibility</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=food%20bloggers" title=" food bloggers"> food bloggers</a>, <a href="https://publications.waset.org/abstracts/search?q=generation%20z" title=" generation z"> generation z</a>, <a href="https://publications.waset.org/abstracts/search?q=e-wom" title=" e-wom"> e-wom</a> </p> <a href="https://publications.waset.org/abstracts/166776/impact-of-instagram-food-bloggers-on-consumer-generation-z-decision-making-process-in-islamabad-pakistan" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/166776.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">73</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">27530</span> Attractiveness of Cafeteria Systems as Viewed by Generation Z</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joanna%20Nie%C5%BCurawska">Joanna Nieżurawska</a>, <a href="https://publications.waset.org/abstracts/search?q=Hanna%20Karaszewska"> Hanna Karaszewska</a>, <a href="https://publications.waset.org/abstracts/search?q=Anna%20Dziadkiewicz"> Anna Dziadkiewicz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Contemporary conditions force companies to constantly implement changes and improvements, which is connected with plasticization of their activity in all spheres. Cafeteria systems are a good example of flexible remuneration systems. Cafeteria systems are well-known and often used in the United States, Great Britain and in Western Europe. In Poland, they are hardly ever used and greater flexibility in remuneration packages refers mainly to senior managers and executives. The main aim of this article is to research the attractiveness of the cafeteria system as viewed by generation Z. The additional aim of the article is to prioritize using the importance index of particular types of cafeteria systems from the generation Z’s perspective, as well as to identify the factors which determine the development of cafeteria systems in Poland. The research was conducted in June 2015 among 185 young employees (generation Z). The paper presents some of the results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cafeteria" title="cafeteria">cafeteria</a>, <a href="https://publications.waset.org/abstracts/search?q=generation%20X" title=" generation X"> generation X</a>, <a href="https://publications.waset.org/abstracts/search?q=generation%20Y" title=" generation Y"> generation Y</a>, <a href="https://publications.waset.org/abstracts/search?q=generation%20Z" title=" generation Z"> generation Z</a>, <a href="https://publications.waset.org/abstracts/search?q=flexible%20remuneration%20systems" title=" flexible remuneration systems"> flexible remuneration systems</a>, <a href="https://publications.waset.org/abstracts/search?q=plasticization%20of%20remuneration" title=" plasticization of remuneration"> plasticization of remuneration</a> </p> <a href="https://publications.waset.org/abstracts/42514/attractiveness-of-cafeteria-systems-as-viewed-by-generation-z" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42514.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">408</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">27529</span> Understanding Work-Related Values of Generation Z: The Lessons for Employers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neboj%C5%A1a%20Jani%C4%87ijevi%C4%87">Nebojša Janićijević</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents the results of a study on work-related values of Generation Z, comprised of young people born between the late 1990s and 2010. Following Millennials, Generation Z is the first generation of digital natives. This is the reason, along with some other circumstances that accompanied them during their growing up, why Generation Z has somewhat different work-related values than previous generations. Since they are just beginning to enter the labor market and will be the majority of the workforce in the next decade or two, it is very important and useful for their employers to understand what Generation Z values when it comes to work. The study was conducted by surveying the students of the Faculty of Economics, University of Belgrade, Serbia, during 2022 and 2023. The research results show that Generation Z values safety, achievement, and status the most in the workplace. From the individual perspective, future employees consider it most important that their job provides good working conditions, recognition for the work performed, and the possibility of achievement. It is noticeable that Generation Z students, to a significant extent, expect to be protected and safe at work in the future, both in terms of the job itself and in terms of social relations. According to the research findings, Generation Z is relatively homogeneous, and no significant differences in work-related values were found among them, except by gender. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generation%20Z" title="generation Z">generation Z</a>, <a href="https://publications.waset.org/abstracts/search?q=work%20related%20values" title=" work related values"> work related values</a>, <a href="https://publications.waset.org/abstracts/search?q=students" title=" students"> students</a>, <a href="https://publications.waset.org/abstracts/search?q=Serbia" title=" Serbia"> Serbia</a> </p> <a href="https://publications.waset.org/abstracts/192532/understanding-work-related-values-of-generation-z-the-lessons-for-employers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192532.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">25</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">27528</span> Exploring Gen Z Consumers’ Behavior Towards Sustainable Fashion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lilia%20Righi">Lilia Righi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, the fashion industry has demonstrated a keen interest in sustainability and the environment. Sustainable fashion has huge potential and appeals to environmentally conscious Generation Z shoppers. Meanwhile, Generation Z customers have attracted researchers' interest due to their overconsumption of clothing. However, most studies in this area focus on designing or producing sustainable clothing, with little exploration of consumers. To fill this gap, the present study aims to determine the important factors influencing Generation Z consumers' decisions to purchase sustainable fashion by mobilizing the theory of planned behavior (TPB). It uses deductive qualitative research based on 18 semi-structured interviews with Generation Z consumers in France. Qualitative data will be analyzed using reflective thematic analysis. On a theoretical level, this research contributes to enriching the literature by mobilizing, for the first time, the theory of planned behavior in the context of sustainable fashion. On a practical level, the results can help practitioners determine effective marketing strategies to persuade Generation Z to consume sustainable clothing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=generation%20Z" title="generation Z">generation Z</a>, <a href="https://publications.waset.org/abstracts/search?q=qualitative%20methodology" title=" qualitative methodology"> qualitative methodology</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20fashion" title=" sustainable fashion"> sustainable fashion</a>, <a href="https://publications.waset.org/abstracts/search?q=theory%20of%20planned%20behavior%20%28TPB%29." title=" theory of planned behavior (TPB)."> theory of planned behavior (TPB).</a> </p> <a href="https://publications.waset.org/abstracts/187069/exploring-gen-z-consumers-behavior-towards-sustainable-fashion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/187069.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">38</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">27527</span> Future of Electric Power Generation Technologies: Environmental and Economic Comparison</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulrahman%20A.%20Bahaddad">Abdulrahman A. Bahaddad</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammed%20Beshir"> Mohammed Beshir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this paper is to demonstrate and describe eight different types of power generation technologies and to understand the history and future trends of each technology. In addition, a comparative analysis between these technologies will be presented with respect to their cost analysis and associated performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conventional%20power%20generation" title="conventional power generation">conventional power generation</a>, <a href="https://publications.waset.org/abstracts/search?q=economic%20analysis" title=" economic analysis"> economic analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20impact" title=" environmental impact"> environmental impact</a>, <a href="https://publications.waset.org/abstracts/search?q=renewable%20energy%20power%20generation" title=" renewable energy power generation"> renewable energy power generation</a> </p> <a href="https://publications.waset.org/abstracts/134690/future-of-electric-power-generation-technologies-environmental-and-economic-comparison" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134690.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">27526</span> A Finite Memory Residual Generation Filter for Fault Detection</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pyung%20Soo%20Kim">Pyung Soo Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Eung%20Hyuk%20Lee"> Eung Hyuk Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=Mun%20Suck%20Jang"> Mun Suck Jang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the current paper, a residual generation filter with finite memory structure is proposed for fault detection. The proposed finite memory residual generation filter provides the residual by real-time filtering of fault vector using only the most recent finite observations and inputs on the window. It is shown that the residual given by the proposed residual generation filter provides the exact fault for noise-free systems. Finally, to illustrate the capability of the proposed residual generation filter, numerical examples are performed for the discretized DC motor system having the multiple sensor faults. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=residual%20generation%20filter" title="residual generation filter">residual generation filter</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20memory%20structure" title=" finite memory structure"> finite memory structure</a>, <a href="https://publications.waset.org/abstracts/search?q=kalman%20filter" title=" kalman filter"> kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=fast%20detection" title=" fast detection"> fast detection</a> </p> <a href="https://publications.waset.org/abstracts/35140/a-finite-memory-residual-generation-filter-for-fault-detection" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35140.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">698</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">27525</span> Social Networking Sites and Narcissism among Generation Z</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christine%20Mappala">Christine Mappala</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Social Networking Sites has an undeniable contribution but also a downgrading effect in our society when used inappropriately. It has effects on an individual’s physical, academic, social, emotional, and behavioral aspects in life, a reason to take account to the possible risks it can have with the future generations, specifically the Generation Z. Determining if SNS Usage has an effect on an individual’s Narcissistic Tendencies, how common narcissism is among these individuals and to provide additional information about the Generation Z in the Philippines is the purpose of this study. A total of 342 participants were gathered. Results indicated that there is a low significance of SNS as a predictor to Narcissism. Also, results showed that there is a low level of narcissism among Generation Z. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=narcissism" title="narcissism">narcissism</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20networking%20sites" title=" social networking sites"> social networking sites</a>, <a href="https://publications.waset.org/abstracts/search?q=Generation%20Z" title=" Generation Z"> Generation Z</a>, <a href="https://publications.waset.org/abstracts/search?q=normal%20narcissism" title=" normal narcissism"> normal narcissism</a> </p> <a href="https://publications.waset.org/abstracts/80601/social-networking-sites-and-narcissism-among-generation-z" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80601.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">501</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">27524</span> A Mutually Exclusive Task Generation Method Based on Data Augmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haojie%20Wang">Haojie Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xun%20Li"> Xun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Yin"> Rui Yin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to solve the memorization overfitting in the meta-learning MAML algorithm, a method of generating mutually exclusive tasks based on data augmentation is proposed. This method generates a mutex task by corresponding one feature of the data to multiple labels, so that the generated mutex task is inconsistent with the data distribution in the initial dataset. Because generating mutex tasks for all data will produce a large number of invalid data and, in the worst case, lead to exponential growth of computation, this paper also proposes a key data extraction method, that only extracts part of the data to generate the mutex task. The experiments show that the method of generating mutually exclusive tasks can effectively solve the memorization overfitting in the meta-learning MAML algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20augmentation" title="data augmentation">data augmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=mutex%20task%20generation" title=" mutex task generation"> mutex task generation</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-learning" title=" meta-learning"> meta-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20classification." title=" text classification."> text classification.</a> </p> <a href="https://publications.waset.org/abstracts/173913/a-mutually-exclusive-task-generation-method-based-on-data-augmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/173913.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">94</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">27523</span> Accurate HLA Typing at High-Digit Resolution from NGS Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yazhi%20Huang">Yazhi Huang</a>, <a href="https://publications.waset.org/abstracts/search?q=Jing%20Yang"> Jing Yang</a>, <a href="https://publications.waset.org/abstracts/search?q=Dingge%20Ying"> Dingge Ying</a>, <a href="https://publications.waset.org/abstracts/search?q=Yan%20Zhang"> Yan Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Vorasuk%20Shotelersuk"> Vorasuk Shotelersuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Nattiya%20Hirankarn"> Nattiya Hirankarn</a>, <a href="https://publications.waset.org/abstracts/search?q=Pak%20Chung%20Sham"> Pak Chung Sham</a>, <a href="https://publications.waset.org/abstracts/search?q=Yu%20Lung%20Lau"> Yu Lung Lau</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanling%20Yang"> Wanling Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Human leukocyte antigen (HLA) typing from next generation sequencing (NGS) data has the potential for applications in clinical laboratories and population genetic studies. Here we introduce a novel technique for HLA typing from NGS data based on read-mapping using a comprehensive reference panel containing all known HLA alleles and de novo assembly of the gene-specific short reads. An accurate HLA typing at high-digit resolution was achieved when it was tested on publicly available NGS data, outperforming other newly-developed tools such as HLAminer and PHLAT. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=human%20leukocyte%20antigens" title="human leukocyte antigens">human leukocyte antigens</a>, <a href="https://publications.waset.org/abstracts/search?q=next%20generation%20sequencing" title=" next generation sequencing"> next generation sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=whole%20exome%20sequencing" title=" whole exome sequencing"> whole exome sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=HLA%20typing" title=" HLA typing"> HLA typing</a> </p> <a href="https://publications.waset.org/abstracts/26433/accurate-hla-typing-at-high-digit-resolution-from-ngs-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26433.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">663</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">27522</span> A Mutually Exclusive Task Generation Method Based on Data Augmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Haojie%20Wang">Haojie Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Xun%20Li"> Xun Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Rui%20Yin"> Rui Yin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In order to solve the memorization overfitting in the model-agnostic meta-learning MAML algorithm, a method of generating mutually exclusive tasks based on data augmentation is proposed. This method generates a mutex task by corresponding one feature of the data to multiple labels so that the generated mutex task is inconsistent with the data distribution in the initial dataset. Because generating mutex tasks for all data will produce a large number of invalid data and, in the worst case, lead to an exponential growth of computation, this paper also proposes a key data extraction method that only extract part of the data to generate the mutex task. The experiments show that the method of generating mutually exclusive tasks can effectively solve the memorization overfitting in the meta-learning MAML algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mutex%20task%20generation" title="mutex task generation">mutex task generation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20augmentation" title=" data augmentation"> data augmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=meta-learning" title=" meta-learning"> meta-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=text%20classification." title=" text classification."> text classification.</a> </p> <a href="https://publications.waset.org/abstracts/168341/a-mutually-exclusive-task-generation-method-based-on-data-augmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/168341.pdf" target="_blank" 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