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network</title> <meta name="description" content="Search results for: body area network"> <meta name="keywords" content="body area network"> <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="body area network"> <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> 16489</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: body area network</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">16489</span> Overview of Wireless Body Area Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rashi%20Jain">Rashi Jain</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Wireless Body Area Networks (WBANs) is an emerging interdisciplinary area where small sensors are placed on/within the human body. These sensors monitor the physiological activities and vital statistics of the body. The data from these sensors is aggregated and communicated to a remote doctor for immediate attention or to a database for records. On 6 Feb 2012, the IEEE 802.15.6 task group approved the standard for Body Area Network (BAN) technologies. The standard proposes the physical and MAC layer for the WBANs. The work provides an introduction to WBANs and overview of the physical and MAC layers of the standard. The physical layer specifications have been covered. A comparison of different protocols used at MAC layer is drawn. An introduction to the network layer and security aspects of the WBANs is made. The WBANs suffer certain limitations such as regulation of frequency bands, minimizing the effect of transmission and reception of electromagnetic signals on the human body, maintaining the energy efficiency among others. This has slowed down their implementation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vehicular%20networks" title="vehicular networks">vehicular networks</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=MicroController%208085" title=" MicroController 8085"> MicroController 8085</a>, <a href="https://publications.waset.org/abstracts/search?q=LTE" title=" LTE"> LTE</a> </p> <a href="https://publications.waset.org/abstracts/53455/overview-of-wireless-body-area-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/53455.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">259</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">16488</span> Performance Comparison of Resource Allocation without Feedback in Wireless Body Area Networks by Various Pseudo Orthogonal Sequences</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ojin%20Kwon">Ojin Kwon</a>, <a href="https://publications.waset.org/abstracts/search?q=Yong-Jin%20Yoon"> Yong-Jin Yoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Liu%20Xin"> Liu Xin</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhang%20Hongbao"> Zhang Hongbao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless Body Area Network (WBAN) is a short-range wireless communication around human body for various applications such as wearable devices, entertainment, military, and especially medical devices. WBAN attracts the attention of continuous health monitoring system including diagnostic procedure, early detection of abnormal conditions, and prevention of emergency situations. Compared to cellular network, WBAN system is more difficult to control inter- and inner-cell interference due to the limited power, limited calculation capability, mobility of patient, and non-cooperation among WBANs. In this paper, we compare the performance of resource allocation scheme based on several Pseudo Orthogonal Codewords (POCs) to mitigate inter-WBAN interference. Previously, the POCs are widely exploited for a protocol sequence and optical orthogonal code. Each POCs have different properties of auto- and cross-correlation and spectral efficiency according to its construction of POCs. To identify different WBANs, several different pseudo orthogonal patterns based on POCs exploits for resource allocation of WBANs. By simulating these pseudo orthogonal resource allocations of WBANs on MATLAB, we obtain the performance of WBANs according to different POCs and can analyze and evaluate the suitability of POCs for the resource allocation in the WBANs system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20body%20area%20network" title="wireless body area network">wireless body area network</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20sensor%20network" title=" body sensor network"> body sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20allocation%20without%20feedback" title=" resource allocation without feedback"> resource allocation without feedback</a>, <a href="https://publications.waset.org/abstracts/search?q=interference%20mitigation" title=" interference mitigation"> interference mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=pseudo%20orthogonal%20pattern" title=" pseudo orthogonal pattern"> pseudo orthogonal pattern</a> </p> <a href="https://publications.waset.org/abstracts/9490/performance-comparison-of-resource-allocation-without-feedback-in-wireless-body-area-networks-by-various-pseudo-orthogonal-sequences" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9490.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">353</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">16487</span> Pre-Shared Key Distribution Algorithms' Attacks for Body Area Networks: A Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Priti%20Kumari">Priti Kumari</a>, <a href="https://publications.waset.org/abstracts/search?q=Tricha%20Anjali"> Tricha Anjali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Body Area Networks (BANs) have emerged as the most promising technology for pervasive health care applications. Since they facilitate communication of very sensitive health data, information leakage in such networks can put human life at risk, and hence security inside BANs is a critical issue. Safe distribution and periodic refreshment of cryptographic keys are needed to ensure the highest level of security. In this paper, we focus on the key distribution techniques and how they are categorized for BAN. The state-of-art pre-shared key distribution algorithms are surveyed. Possible attacks on algorithms are demonstrated with examples. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attacks" title="attacks">attacks</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20area%20network" title=" body area network"> body area network</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20distribution" title=" key distribution"> key distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20refreshment" title=" key refreshment"> key refreshment</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-shared%20keys" title=" pre-shared keys"> pre-shared keys</a> </p> <a href="https://publications.waset.org/abstracts/49001/pre-shared-key-distribution-algorithms-attacks-for-body-area-networks-a-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49001.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">362</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">16486</span> A Literature Review on Emotion Recognition Using Wireless Body Area Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christodoulou%20Christos">Christodoulou Christos</a>, <a href="https://publications.waset.org/abstracts/search?q=Politis%20Anastasios"> Politis Anastasios</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The utilization of Wireless Body Area Network (WBAN) is experiencing a notable surge in popularity as a result of its widespread implementation in the field of smart health. WBANs utilize small sensors implanted within the human body to monitor and record physiological indicators. These sensors transmit the collected data to hospitals and healthcare facilities through designated access points. Bio-sensors exhibit a diverse array of shapes and sizes, and their deployment can be tailored to the condition of the individual. Multiple sensors may be strategically placed within, on, or around the human body to effectively observe, record, and transmit essential physiological indicators. These measurements serve as a basis for subsequent analysis, evaluation, and therapeutic interventions. In conjunction with physical health concerns, numerous smartwatches are engineered to employ artificial intelligence techniques for the purpose of detecting mental health conditions such as depression and anxiety. The utilization of smartwatches serves as a secure and cost-effective solution for monitoring mental health. Physiological signals are widely regarded as a highly dependable method for the recognition of emotions due to the inherent inability of individuals to deliberately influence them over extended periods of time. The techniques that WBANs employ to recognize emotions are thoroughly examined in this article. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emotion%20recognition" title="emotion recognition">emotion recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20body%20area%20network" title=" wireless body area network"> wireless body area network</a>, <a href="https://publications.waset.org/abstracts/search?q=WBAN" title=" WBAN"> WBAN</a>, <a href="https://publications.waset.org/abstracts/search?q=ERC" title=" ERC"> ERC</a>, <a href="https://publications.waset.org/abstracts/search?q=wearable%20devices" title=" wearable devices"> wearable devices</a>, <a href="https://publications.waset.org/abstracts/search?q=psychological%20signals" title=" psychological signals"> psychological signals</a>, <a href="https://publications.waset.org/abstracts/search?q=emotion" title=" emotion"> emotion</a>, <a href="https://publications.waset.org/abstracts/search?q=smart-watch" title=" smart-watch"> smart-watch</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a> </p> <a href="https://publications.waset.org/abstracts/184420/a-literature-review-on-emotion-recognition-using-wireless-body-area-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184420.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">50</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">16485</span> Air Cargo Network Structure Characteristics and Robustness Analysis under the Belt and Road Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Feng-jie%20Xie">Feng-jie Xie</a>, <a href="https://publications.waset.org/abstracts/search?q=Jian-hong%20Yan"> Jian-hong Yan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Based on the complex network theory, we construct the air cargo network of the Belt and Road area, analyze its regional distribution and structural characteristics, measure the robustness of the network. The regional distribution results show that Southeast Asia and China have the most prominent development in the air cargo network of the Belt and Road area, Central Asia is the least developed. The structure characteristics found that the air cargo network has obvious small-world characteristics; the degree distribution has single-scale property; it shows a significant rich-club phenomenon simultaneously. The network robustness is measured by two attack strategies of degree and betweenness, but the betweenness of network nodes has a greater impact on network connectivity. And identified 24 key cities that have a large impact on the robustness of the network under the two attack strategies. Based on these results, recommendations are given to maintain the air cargo network connectivity in the Belt and Road area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20cargo" title="air cargo">air cargo</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20network" title=" complex network"> complex network</a>, <a href="https://publications.waset.org/abstracts/search?q=robustness" title=" robustness"> robustness</a>, <a href="https://publications.waset.org/abstracts/search?q=structure%20properties" title=" structure properties"> structure properties</a>, <a href="https://publications.waset.org/abstracts/search?q=The%20Belt%20and%20Road" title=" The Belt and Road"> The Belt and Road</a> </p> <a href="https://publications.waset.org/abstracts/129714/air-cargo-network-structure-characteristics-and-robustness-analysis-under-the-belt-and-road-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129714.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">196</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">16484</span> Perception of Reproductive Age Group Females of a Central University in India about Body Image</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rajani%20Vishal">Rajani Vishal</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20P.%20Mishra"> C. P. Mishra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Self-perception of an individual about own body has a strong influence on their food preference and thereby on their nutritional status. Body image is gaining importance in social theory. Globally, women in particular seem to be favour of one ideal body type (Viz A slim, tall and perfectly proportionate body). Beauty and body image ideals among research scholars can play a significant influence on their own actions. Objectives: 1) To assess perception of study subjects about body image; 2)To analyze the relationship between body image and residential status of study subjects. Material and Method: 176 female research scholars of Banaras Hindu University were selected through multistage sampling. They were interviewed with pre designed and pre-tested proforma about area of residence and perception about body image. Result: As much as 86.4% subjects were happy with the way they looked whereas 83.0% subjects considered themselves as attractive. In case of 13.6%, 27.3%, 31.8%, 14.2% and 13.1% subjects, best-described body shapes were thin, normal, curvy, athletic and overweight, respectively. Area of residence was significantly (p< o.o5) associated with perception of attractiveness and description of body shape. Conclusion: In spite of varied description of body image, majority of subjects had positive perception about their body image. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=attractiveness" title="attractiveness">attractiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20image" title=" body image"> body image</a>, <a href="https://publications.waset.org/abstracts/search?q=body%20shape" title=" body shape"> body shape</a>, <a href="https://publications.waset.org/abstracts/search?q=nutritional%20status" title=" nutritional status"> nutritional status</a> </p> <a href="https://publications.waset.org/abstracts/77355/perception-of-reproductive-age-group-females-of-a-central-university-in-india-about-body-image" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77355.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">265</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">16483</span> Cellular Mobile Telecommunication GSM Radio Base Station Network Planning</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Alzahrani">Saeed Alzahrani</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaser%20Miaji"> Yaser Miaji</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The project involves the design and simulation of a Mobile Cellular Telecommunication Network using the software tool CelPlanner. The design is mainly concerned with Global System for Mobile Communications . The design and simulation of the network is done for a small part of the area allocated for us in the terrain area of Shreveport city .The project is concerned with designing a network that is cost effective and which also efficiently meets the required Grade of Service (GOS) AND Quality of Service (QOS).The expected outcome of this project is the design of a network that gives a good coverage for the area allocated to us with minimum co-channel interference and adjacent channel interference. The Handover and Traffic Handling Capacity should also be taken into consideration and should be good for the given area . The Traffic Handling Capacity of the network in a way decides whether the designed network is good or bad . The design also takes into consideration the topographical and morphological information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20communication" title="mobile communication">mobile communication</a>, <a href="https://publications.waset.org/abstracts/search?q=GSM" title=" GSM"> GSM</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20base%20station" title=" radio base station"> radio base station</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20planning" title=" network planning"> network planning</a> </p> <a href="https://publications.waset.org/abstracts/28246/cellular-mobile-telecommunication-gsm-radio-base-station-network-planning" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28246.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">438</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">16482</span> Human-Centric Sensor Networks for Comfort and Productivity in Offices: Integrating Environmental, Body Area Network, and Participatory Sensing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chenlu%20Zhang">Chenlu Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Wanni%20Zhang"> Wanni Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Florian%20Schaule"> Florian Schaule</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Indoor environment in office buildings directly affects comfort, productivity, health, and well-being of building occupants. Wireless environmental sensor networks have been deployed in many modern offices to monitor and control the indoor environments. However, indoor environmental variables are not strong enough predictors of comfort and productivity levels of every occupant due to personal differences, both physiologically and psychologically. This study proposes human-centric sensor networks that integrate wireless environmental sensors, body area network sensors and participatory sensing technologies to collect data from both environment and human and support building operations. The sensor networks have been tested in one small-size and one medium-size office rooms with 22 participants for five months. Indoor environmental data (e.g., air temperature and relative humidity), physiological data (e.g., skin temperature and Galvani skin response), and physiological responses (e.g., comfort and self-reported productivity levels) were obtained from each participant and his/her workplace. The data results show that: (1) participants have different physiological and physiological responses in the same environmental conditions; (2) physiological variables are more effective predictors of comfort and productivity levels than environmental variables. These results indicate that the human-centric sensor networks can support human-centric building control and improve comfort and productivity in offices. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20area%20network" title="body area network">body area network</a>, <a href="https://publications.waset.org/abstracts/search?q=comfort%20and%20productivity" title=" comfort and productivity"> comfort and productivity</a>, <a href="https://publications.waset.org/abstracts/search?q=human-centric%20sensors" title=" human-centric sensors"> human-centric sensors</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=participatory%20sensing" title=" participatory sensing"> participatory sensing</a> </p> <a href="https://publications.waset.org/abstracts/98570/human-centric-sensor-networks-for-comfort-and-productivity-in-offices-integrating-environmental-body-area-network-and-participatory-sensing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98570.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">139</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">16481</span> Body Types of Softball Players in the 39th National Games of Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nopadol%20Nimsuwan">Nopadol Nimsuwan</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumet%20Prom-in"> Sumet Prom-in</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purpose of this study was to investigate the body types, size, and body compositions of softball players in the 39th National Games of Thailand. The population of this study was 352 softball players who participated in the 39th National Games of Thailand from which a sample size of 291 was determined using the Taro Yamane formula and selection is made with stratified sampling method. The data collected were weight, height, arm length, leg length, chest circumference, mid-upper arm circumference, calf circumference, subcutaneous fat in the upper arm area, the scapula bone area, above the pelvis area, and mid-calf area. Keys and Brozek formula was used to calculate the fat quantity, Kitagawa formula to calculate the muscle quantity, and Heath and Carter method was used to determine the values of body dimensions. The results of the study can be concluded as follows. The average body dimensions of the male softball players were the endo-mesomorph body type while the average body dimensions of female softball players were the meso-endomorph body type. When considered according to the softball positions, it was found that the male softball players in every position had the endo-mesomorph body type while the female softball players in every position had the meso-endomorph body type except for the center fielder that had the endo-ectomorph body type. The endo-mesomorph body type is suitable for male softball players, and the meso-endomorph body type is suitable for female softball players because these body types are suitable for the five basic softball skills which are: gripping, throwing, catching, hitting, and base running. Thus, people related to selecting softball players to play in sports competitions of different levels should consider factors in terms of body type, size, and body components of the players. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20types" title="body types">body types</a>, <a href="https://publications.waset.org/abstracts/search?q=softball%20players" title=" softball players"> softball players</a>, <a href="https://publications.waset.org/abstracts/search?q=national%20games%20of%20Thailand" title=" national games of Thailand"> national games of Thailand</a>, <a href="https://publications.waset.org/abstracts/search?q=social%20sustainability" title=" social sustainability"> social sustainability</a> </p> <a href="https://publications.waset.org/abstracts/5205/body-types-of-softball-players-in-the-39th-national-games-of-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/5205.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">484</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">16480</span> U Slot Loaded Wearable Textile Antenna</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Varsha%20Kheradiya">Varsha Kheradiya</a>, <a href="https://publications.waset.org/abstracts/search?q=Ganga%20Prasad%20Pandey"> Ganga Prasad Pandey</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The use of wearable antennas is rising because wireless devices become small. The wearable antenna is part of clothes used in communication applications, including energy harvesting, medical application, navigation, and tracking. In current years, Antennas embroidered on clothes, conducting antennas based on fabric, polymer embedded antennas, and inkjet-printed antennas are all attractive ways. Also shows the analysis required for wearable antennas, such as wearable antennae interacting with the human body. The primary requirements for the antenna are small size, low profile minimizing radiation absorption by the human body, high efficiency, structural integrity to survive worst situations, and good gain. Therefore, research in energy harvesting, biomedicine, and military application design is increasingly favoring flexible wearable antennas. Textile materials that are effectively used for designing and developing wearable antennas for body area networks. The wireless body area network is primarily concerned with creating effective antenna systems. The antenna should reduce their size, be lightweight, and be adaptable when integrated into clothes. When antennas integrate into clothes, it provides a convenient alternative to those fabricated using rigid substrates. This paper presents a study of U slot loaded wearable textile antenna. U slot patch antenna design is illustrated for wideband from 1GHz to 6 GHz using textile material jeans as substrate and pure copper polyester taffeta fabric as conducting material. This antenna design exhibits dual band results for WLAN at 2.4 GHz and 3.6 GHz frequencies. Also, study U slot position horizontal and vertical shifting. Shifting the horizontal positive X-axis position of the U slot produces the third band at 5.8 GHz. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microstrip%20patch%20antenna" title="microstrip patch antenna">microstrip patch antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=textile%20material" title=" textile material"> textile material</a>, <a href="https://publications.waset.org/abstracts/search?q=U%20slot%20wearable%20antenna" title=" U slot wearable antenna"> U slot wearable antenna</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20body%20area%20network" title=" wireless body area network"> wireless body area network</a> </p> <a href="https://publications.waset.org/abstracts/167234/u-slot-loaded-wearable-textile-antenna" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167234.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">90</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">16479</span> Optimization of Interface Radio of Universal Mobile Telecommunication System Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20Mohamed%20Amine">O. Mohamed Amine</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Khireddine"> A. Khireddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Telecoms operators are always looking to meet their share of the other customers, they try to gain optimum utilization of the deployed equipment and network optimization has become essential. This project consists of optimizing UMTS network, and the study area is an urban area situated in the center of Algiers. It was initially questions to become familiar with the different communication systems (3G) and the optimization technique, its main components, and its fundamental characteristics radios were introduced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=UMTS" title="UMTS">UMTS</a>, <a href="https://publications.waset.org/abstracts/search?q=UTRAN" title=" UTRAN"> UTRAN</a>, <a href="https://publications.waset.org/abstracts/search?q=WCDMA" title=" WCDMA"> WCDMA</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/52556/optimization-of-interface-radio-of-universal-mobile-telecommunication-system-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/52556.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">383</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">16478</span> Impact Assessment of Information Communication, Network Providers, Teledensity, and Consumer Complaints on Gross Domestic Products</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Essang%20Anwana%20Onuntuei">Essang Anwana Onuntuei</a>, <a href="https://publications.waset.org/abstracts/search?q=Chinyere%20Blessing%20Azunwoke"> Chinyere Blessing Azunwoke</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study used secondary data from foreign and local organizations to explore major challenges and opportunities abound in Information Communication. The study aimed at exploring the tie between tele density (network coverage area) and the number of network subscriptions, probing if the degree of consumer complaints varies significantly among network providers, and assessing if network subscriptions do significantly influence the sector’s GDP contribution. Methods used for data analysis include Pearson product-moment correlation and regression analysis, and the Analysis of Variance (ANOVA) as well. At a two-tailed test of 0.05 confidence level, the results of findings established about 85.6% of network subscriptions were explained by tele density (network coverage area), and the number of network subscriptions; Consumer Complaints’ degree varied significantly among network providers as 80.158291 (F calculated) > 3.490295 (F critical) with very high confidence associated p-value = 0.000000 which is < 0.05; and finally, 65% of the nation’s GDP was explained by network subscription to show a high association. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=tele%20density" title="tele density">tele density</a>, <a href="https://publications.waset.org/abstracts/search?q=subscription" title=" subscription"> subscription</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20coverage" title=" network coverage"> network coverage</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20communication" title=" information communication"> information communication</a>, <a href="https://publications.waset.org/abstracts/search?q=consumer" title=" consumer"> consumer</a> </p> <a href="https://publications.waset.org/abstracts/188468/impact-assessment-of-information-communication-network-providers-teledensity-and-consumer-complaints-on-gross-domestic-products" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188468.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">43</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">16477</span> Measurement and Analysis of Building Penetration Loss for Mobile Networks in Tripoli Area</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tammam%20A.%20Benmusa">Tammam A. Benmusa</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20A.%20Shlibek"> Mohamed A. Shlibek</a>, <a href="https://publications.waset.org/abstracts/search?q=Rawad%20M.%20Swesi"> Rawad M. Swesi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The investigation of Buildings Penetration Loss (BPL) of radio signal is getting more and more important. It plays an important role in calculating the indoor coverage for wireless communication networks. In this paper, the theory behind BPL and its mechanisms have been reviewed. The operating frequency, coverage area type, climate condition, time of measurement, and other factors affecting the values of BPL have been discussed. The practical part of this work was conducting 4000 measurements of BPL in different areas in the Libyan capital, Tripoli, to get empirical model for this loss. The measurements were taken for 2 different types of wireless communication networks; mobile telephone network (for Almadar company), which operates at 900 MHz and WiMAX network (LTT company) which operates at 2500 MHz. The results for each network were summarized and presented in several graphs. The graphs are showing how the BPL affected by: time of measurement, morphology (type of area), and climatic environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=building%20penetration%20loss" title="building penetration loss">building penetration loss</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20network" title=" wireless network"> wireless network</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20network" title=" mobile network"> mobile network</a>, <a href="https://publications.waset.org/abstracts/search?q=link%20budget" title=" link budget"> link budget</a>, <a href="https://publications.waset.org/abstracts/search?q=indoor%20network%20performance" title=" indoor network performance"> indoor network performance</a> </p> <a href="https://publications.waset.org/abstracts/14531/measurement-and-analysis-of-building-penetration-loss-for-mobile-networks-in-tripoli-area" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14531.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">384</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">16476</span> Enhanced Constraint-Based Optical Network (ECON) for Enhancing OSNR</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=G.%20R.%20Kavitha">G. R. Kavitha</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Indumathi"> T. S. Indumathi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the constantly rising demands of the multimedia services, the requirements of long haul transport network are constantly changing in the area of optical network. Maximum data transmission using optimization of the communication channel poses the biggest challenge. Although there has been a constant focus on this area from the past decade, there was no evidence of a significant result that has been accomplished. Hence, after reviewing some potential design of optical network from literatures, it was understood that optical signal to noise ratio was one of the elementary attributes that can define the performance of the optical network. In this paper, we propose a framework termed as ECON (Enhanced Constraint-based Optical Network) that primarily optimize the optical signal to noise ratio using ROADM. The simulation is performed in Matlab and optical signal to noise ratio is extracted considering the system matrix. The outcome of the proposed study shows that optimized OSNR as compared to the existing studies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=component" title="component">component</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20network" title=" optical network"> optical network</a>, <a href="https://publications.waset.org/abstracts/search?q=reconfigurable%20optical%20add-drop%20multiplexer" title=" reconfigurable optical add-drop multiplexer"> reconfigurable optical add-drop multiplexer</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20signal-to-noise%20ratio" title=" optical signal-to-noise ratio"> optical signal-to-noise ratio</a> </p> <a href="https://publications.waset.org/abstracts/17847/enhanced-constraint-based-optical-network-econ-for-enhancing-osnr" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17847.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">488</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">16475</span> Stability Evaluation on Accumulation Body of Reservoir Slope in Rumei Hydropower Station, China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yaofei%20Jiang">Yaofei Jiang</a>, <a href="https://publications.waset.org/abstracts/search?q=Liangqing%20Wang"> Liangqing Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Yanjun%20Xu"> Yanjun Xu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, geological explorations have been carried out on the Rumei hydropower station, China. After preliminary analysis of results, the mainly problem of slope in reservoir area is about the stability of accumulation body. It is found that there are 23 accumulations in various sizes in the reservoir area, and most of them are unfavorable geological bodies. Three typical (No. 1, 7, 17) accumulation body slopes were selected as subjects to investigate the stability of the slopes. Take No. 1 accumulation body slope as an example and basic geological condition investigation and formation mechanism analysis were carried out to study the stability and geological analysis of engineering influence of the slope. The accumulation body in the research area distributes along the river with natural slope of 32° ~ 37° which is the natural angle of repose of gravel. The formation mechanism is analyzed based on the composition and structure of the accumulation body. The middle and lower part of the body is dense full of gravel soil mixed with a small amount of sand gravel which is stable. In the upper part, gravel soil is interbedded with bad cemented gravel which as a weak surface is not conducive to slope stability. Under the natural condition before storing water, the underground water level is deep buried, mainly distributed in the bedrock, and the surface and groundwater discharge conditions of the accumulation body are good, which is beneficial to the stability of slope. The safety coefficient calculated by the limit equilibrium method is 1.14, which indicates the slope is basically stable. However, the safety coefficient drops to 1.02 when the normal storage level is 2895m, which is in a dangerous state. The accumulation body will be destabilized by a small-area instability to large-scale or overall instability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=accumulation%20body%20slope" title="accumulation body slope">accumulation body slope</a>, <a href="https://publications.waset.org/abstracts/search?q=stability%20evaluation" title=" stability evaluation"> stability evaluation</a>, <a href="https://publications.waset.org/abstracts/search?q=geological%20engineering%20investigation" title=" geological engineering investigation"> geological engineering investigation</a>, <a href="https://publications.waset.org/abstracts/search?q=effect%20of%20storing%20water" title=" effect of storing water"> effect of storing water</a> </p> <a href="https://publications.waset.org/abstracts/95475/stability-evaluation-on-accumulation-body-of-reservoir-slope-in-rumei-hydropower-station-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/95475.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">166</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">16474</span> Neural Network Based Path Loss Prediction for Global System for Mobile Communication in an Urban Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Danladi%20Ali">Danladi Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we measured GSM signal strength in the Dnepropetrovsk city in order to predict path loss in study area using nonlinear autoregressive neural network prediction and we also, used neural network clustering to determine average GSM signal strength receive at the study area. The nonlinear auto-regressive neural network predicted that the GSM signal is attenuated with the mean square error (MSE) of 2.6748dB, this attenuation value is used to modify the COST 231 Hata and the Okumura-Hata models. The neural network clustering revealed that -75dB to -95dB is received more frequently. This means that the signal strength received at the study is mostly weak signal <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=one-dimensional%20multilevel%20wavelets" title="one-dimensional multilevel wavelets">one-dimensional multilevel wavelets</a>, <a href="https://publications.waset.org/abstracts/search?q=path%20loss" title=" path loss"> path loss</a>, <a href="https://publications.waset.org/abstracts/search?q=GSM%20signal%20strength" title=" GSM signal strength"> GSM signal strength</a>, <a href="https://publications.waset.org/abstracts/search?q=propagation" title=" propagation"> propagation</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20environment%20and%20model" title=" urban environment and model"> urban environment and model</a> </p> <a href="https://publications.waset.org/abstracts/14119/neural-network-based-path-loss-prediction-for-global-system-for-mobile-communication-in-an-urban-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14119.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">16473</span> Study on Energy Performance Comparison of Information Centric Network Based on Difference of Network Architecture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Takumi%20Shindo">Takumi Shindo</a>, <a href="https://publications.waset.org/abstracts/search?q=Koji%20Okamura"> Koji Okamura</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The first generation of the wide area network was circuit centric network. How the optimal circuit can be signed was the most important issue to get the best performance. This architecture had succeeded for line based telephone system. The second generation was host centric network and Internet based on this architecture has very succeeded world widely. And Internet became as new social infrastructure. Currently the architecture of the network is based on the location of the information. This future network is called Information centric network (ICN). The information-centric network (ICN) has being researched by many projects and different architectures for implementation of ICN have been proposed. The goal of this study is to compare performances of those ICN architectures. In this paper, the authors propose general ICN model which can represent two typical ICN architectures and compare communication performances using request routing. Finally, simulation results are shown. Also, we assume that this network architecture should be adapt to energy on-demand routing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ICN" title="ICN">ICN</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20centric%20network" title=" information centric network"> information centric network</a>, <a href="https://publications.waset.org/abstracts/search?q=CCN" title=" CCN"> CCN</a>, <a href="https://publications.waset.org/abstracts/search?q=energy" title=" energy"> energy</a> </p> <a href="https://publications.waset.org/abstracts/68439/study-on-energy-performance-comparison-of-information-centric-network-based-on-difference-of-network-architecture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68439.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">337</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">16472</span> Detecting Black Hole Attacks in Body Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sara%20Alshehri">Sara Alshehri</a>, <a href="https://publications.waset.org/abstracts/search?q=Bayan%20Alenzi"> Bayan Alenzi</a>, <a href="https://publications.waset.org/abstracts/search?q=Atheer%20Alshehri"> Atheer Alshehri</a>, <a href="https://publications.waset.org/abstracts/search?q=Samia%20Chelloug"> Samia Chelloug</a>, <a href="https://publications.waset.org/abstracts/search?q=Zainab%20Almry"> Zainab Almry</a>, <a href="https://publications.waset.org/abstracts/search?q=Hussah%20Albugmai"> Hussah Albugmai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper concerns body area networks sensor that collect signals around a human body. The black hole attacks are the main security challenging problem because the data traffic can be dropped at any node. The focus of our proposed solution is to efficiently route data packets while detecting black hole nodes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20sensor%20networks" title="body sensor networks">body sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=black%20hole" title=" black hole"> black hole</a>, <a href="https://publications.waset.org/abstracts/search?q=routing" title=" routing"> routing</a>, <a href="https://publications.waset.org/abstracts/search?q=broadcasting" title=" broadcasting"> broadcasting</a>, <a href="https://publications.waset.org/abstracts/search?q=OMNeT%2B%2B" title=" OMNeT++ "> OMNeT++ </a> </p> <a href="https://publications.waset.org/abstracts/10435/detecting-black-hole-attacks-in-body-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10435.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">645</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">16471</span> Node Optimization in Wireless Sensor Network: An Energy Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Y.%20B.%20Kirankumar">Y. B. Kirankumar</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20D.%20Mallapur"> J. D. Mallapur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless Sensor Network (WSN) is an emerging technology, which has great invention for various low cost applications both for mass public as well as for defence. The wireless sensor communication technology allows random participation of sensor nodes with particular applications to take part in the network, which results in most of the uncovered simulation area, where fewer nodes are located at far distances. The drawback of such network would be that the additional energy is spent by the nodes located in a pattern of dense location, using more number of nodes for a smaller distance of communication adversely in a region with less number of nodes and additional energy is again spent by the source node in order to transmit a packet to neighbours, thereby transmitting the packet to reach the destination. The proposed work is intended to develop Energy Efficient Node Placement Algorithm (EENPA) in order to place the sensor node efficiently in simulated area, where all the nodes are equally located on a radial path to cover maximum area at equidistance. The total energy consumed by each node compared to random placement of nodes is less by having equal burden on fewer nodes of far location, having distributed the nodes in whole of the simulation area. Calculating the network lifetime also proves to be efficient as compared to random placement of nodes, hence increasing the network lifetime, too. Simulation is been carried out in a qualnet simulator, results are obtained on par with random placement of nodes with EENP algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy" title="energy">energy</a>, <a href="https://publications.waset.org/abstracts/search?q=WSN" title=" WSN"> WSN</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title=" wireless sensor network"> wireless sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20approach" title=" energy approach"> energy approach</a> </p> <a href="https://publications.waset.org/abstracts/6185/node-optimization-in-wireless-sensor-network-an-energy-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6185.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">312</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">16470</span> Application of Smplify-X Algorithm with Enhanced Gender Classifier in 3D Human Pose Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiahe%20Liu">Jiahe Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Hongyang%20Yu"> Hongyang Yu</a>, <a href="https://publications.waset.org/abstracts/search?q=Miao%20Luo"> Miao Luo</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Qian"> Feng Qian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The widespread application of 3D human body reconstruction spans various fields. Smplify-X, an algorithm reliant on single-image input, employs three distinct body parameter templates, necessitating gender classification of individuals within the input image. Researchers employed a ResNet18 network to train a gender classifier within the Smplify-X framework, setting the threshold at 0.9, designating images falling below this threshold as having neutral gender. This model achieved 62.38% accurate predictions and 7.54% incorrect predictions. Our improvement involved refining the MobileNet network, resulting in a raised threshold of 0.97. Consequently, we attained 78.89% accurate predictions and a mere 0.2% incorrect predictions, markedly enhancing prediction precision and enabling more precise 3D human body reconstruction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SMPLX" title="SMPLX">SMPLX</a>, <a href="https://publications.waset.org/abstracts/search?q=mobileNet" title=" mobileNet"> mobileNet</a>, <a href="https://publications.waset.org/abstracts/search?q=gender%20classification" title=" gender classification"> gender classification</a>, <a href="https://publications.waset.org/abstracts/search?q=3D%20human%20reconstruction" title=" 3D human reconstruction"> 3D human reconstruction</a> </p> <a href="https://publications.waset.org/abstracts/183520/application-of-smplify-x-algorithm-with-enhanced-gender-classifier-in-3d-human-pose-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/183520.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">99</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">16469</span> Using Machine Learning to Classify Different Body Parts and Determine Healthiness</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zachary%20Pan">Zachary Pan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Our general mission is to solve the problem of classifying images into different body part types and deciding if each of them is healthy or not. However, for now, we will determine healthiness for only one-sixth of the body parts, specifically the chest. We will detect pneumonia in X-ray scans of those chest images. With this type of AI, doctors can use it as a second opinion when they are taking CT or X-ray scans of their patients. Another ad-vantage of using this machine learning classifier is that it has no human weaknesses like fatigue. The overall ap-proach to this problem is to split the problem into two parts: first, classify the image, then determine if it is healthy. In order to classify the image into a specific body part class, the body parts dataset must be split into test and training sets. We can then use many models, like neural networks or logistic regression models, and fit them using the training set. Now, using the test set, we can obtain a realistic accuracy the models will have on images in the real world since these testing images have never been seen by the models before. In order to increase this testing accuracy, we can also apply many complex algorithms to the models, like multiplicative weight update. For the second part of the problem, to determine if the body part is healthy, we can have another dataset consisting of healthy and non-healthy images of the specific body part and once again split that into the test and training sets. We then use another neural network to train on those training set images and use the testing set to figure out its accuracy. We will do this process only for the chest images. A major conclusion reached is that convolutional neural networks are the most reliable and accurate at image classification. In classifying the images, the logistic regression model, the neural network, neural networks with multiplicative weight update, neural networks with the black box algorithm, and the convolutional neural network achieved 96.83 percent accuracy, 97.33 percent accuracy, 97.83 percent accuracy, 96.67 percent accuracy, and 98.83 percent accuracy, respectively. On the other hand, the overall accuracy of the model that de-termines if the images are healthy or not is around 78.37 percent accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20part" title="body part">body part</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</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=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/160577/using-machine-learning-to-classify-different-body-parts-and-determine-healthiness" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/160577.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">103</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">16468</span> Application of Artificial Neural Network and Background Subtraction for Determining Body Mass Index (BMI) in Android Devices Using Bluetooth</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Neil%20Erick%20Q.%20Madariaga">Neil Erick Q. Madariaga</a>, <a href="https://publications.waset.org/abstracts/search?q=Noel%20B.%20Linsangan"> Noel B. Linsangan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Body Mass Index (BMI) is one of the different ways to monitor the health of a person. It is based on the height and weight of the person. This study aims to compute for the BMI using an Android tablet by obtaining the height of the person by using a camera and measuring the weight of the person by using a weighing scale or load cell. The height of the person was estimated by applying background subtraction to the image captured and applying different processes such as getting the vanishing point and applying Artificial Neural Network. The weight was measured by using Wheatstone bridge load cell configuration and sending the value to the computer by using Gizduino microcontroller and Bluetooth technology after the amplification using AD620 instrumentation amplifier. The application will process the images and read the measured values and show the BMI of the person. The study met all the objectives needed and further studies will be needed to improve the design project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=body%20mass%20index" title="body mass index">body mass index</a>, <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title=" artificial neural network"> artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=vanishing%20point" title=" vanishing point"> vanishing point</a>, <a href="https://publications.waset.org/abstracts/search?q=bluetooth" title=" bluetooth"> bluetooth</a>, <a href="https://publications.waset.org/abstracts/search?q=wheatstone%20bridge%20load%20cell" title=" wheatstone bridge load cell"> wheatstone bridge load cell</a> </p> <a href="https://publications.waset.org/abstracts/20342/application-of-artificial-neural-network-and-background-subtraction-for-determining-body-mass-index-bmi-in-android-devices-using-bluetooth" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/20342.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">16467</span> A Topological Study of an Urban Street Network and Its Use in Heritage Areas</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jose%20L.%20Oliver">Jose L. Oliver</a>, <a href="https://publications.waset.org/abstracts/search?q=Taras%20Agryzkov"> Taras Agryzkov</a>, <a href="https://publications.waset.org/abstracts/search?q=Leandro%20Tortosa"> Leandro Tortosa</a>, <a href="https://publications.waset.org/abstracts/search?q=Jose%20F.%20Vicent"> Jose F. Vicent</a>, <a href="https://publications.waset.org/abstracts/search?q=Javier%20Santacruz"> Javier Santacruz</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper aims to demonstrate how a topological study of an urban street network can be used as a tool to be applied to some heritage conservation areas in a city. In the last decades, we find different kinds of approaches in the discipline of Architecture and Urbanism based in the so-called Sciences of Complexity. In this context, this paper uses mathematics from the Network Theory. Hence, it proposes a methodology based in obtaining information from a graph, which is created from a network of urban streets. Then, it is used an algorithm that establishes a ranking of importance of the nodes of that network, from its topological point of view. The results are applied to a heritage area in a particular city, confronting the data obtained from the mathematical model, with the ones from the field work in the case study. As a result of this process, we may conclude the necessity of implementing some actions in the area, and where those actions would be more effective for the whole heritage site. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=graphs" title="graphs">graphs</a>, <a href="https://publications.waset.org/abstracts/search?q=heritage%20cities" title=" heritage cities"> heritage cities</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20analysis" title=" spatial analysis"> spatial analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20networks" title=" urban networks"> urban networks</a> </p> <a href="https://publications.waset.org/abstracts/67220/a-topological-study-of-an-urban-street-network-and-its-use-in-heritage-areas" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67220.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">396</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">16466</span> Intrabody Communication Using Different Ground Configurations in Digital Door Lock</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Daewook%20Kim">Daewook Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilwon%20Yoon"> Gilwon Yoon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Intrabody communication (IBC) is a new way of transferring data using human body as a medium. Minute current can travel though human body without any harm. IBC can remove electrical wires for human area network. IBC can be also a secure communication network system unlike wireless networks which can be accessed by anyone with bad intentions. One of the IBC systems is based on frequency shift keying modulation where individual data are transmitted to the external devices for the purpose of secure access such as digital door lock. It was found that the quality of IBC data transmission was heavily dependent on ground configurations of electronic circuits. Reliable IBC transmissions were not possible when both of the transmitter and receiver used batteries as circuit power source. Transmission was reliable when power supplies were used as power source for both transmitting and receiving sites because the common ground was established through the grounds of instruments such as power supply and oscilloscope. This was due to transmission dipole size and the ground effects of floor and AC power line. If one site used battery as power source and the other site used the AC power as circuit power source, transmission was possible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=frequency%20shift%20keying" title="frequency shift keying">frequency shift keying</a>, <a href="https://publications.waset.org/abstracts/search?q=ground" title=" ground"> ground</a>, <a href="https://publications.waset.org/abstracts/search?q=intrabody" title=" intrabody"> intrabody</a>, <a href="https://publications.waset.org/abstracts/search?q=communication" title=" communication"> communication</a>, <a href="https://publications.waset.org/abstracts/search?q=door%20lock" title=" door lock"> door lock</a> </p> <a href="https://publications.waset.org/abstracts/12052/intrabody-communication-using-different-ground-configurations-in-digital-door-lock" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12052.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">418</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">16465</span> Seismicity and Source Parameter of Some Events in Abu Dabbab Area, Red Sea Coast</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Mohamed%20Haggag">Hamed Mohamed Haggag</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Prior to 12 November 1955, no earthquakes have been reported from the Abu Dabbab area in the International Seismological Center catalogue (ISC). The largest earthquake in Abu Dabbab area occurred on November 12, 1955 with magnitude Mb 6.0. The closest station from the epicenter was at Helwan (about 700 km to the north), so the depth of this event is not constrained and no foreshocks or aftershocks were recorded. Two other earthquakes of magnitude Mb 4.5 and 5.2 took place in the same area on March 02, 1982 and July 02, 1984, respectively. Since the installation of Aswan Seismic Network stations in 1982, (250-300 km to the south-west of Abu Dabbab area) then the Egyptian Natoinal Seismic Network stations, it was possible to record some activity from Abu Dabbab area. The recorded earthquakes at Abu Dabbab area as recorded from 1982 to 2014 shows that the earthquake epicenters are distributed in the same direction of the main trends of the faults in the area, which is parallel to the Red Sea coast. The spectral analysis was made for some earthquakes. The source parameters, seismic moment (Mo), source dimension (r), stress drop (Δδ), and apparent stress (δ) are determined for these events. The spectral analysis technique was completed using MAG software program. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abu%20Dabbab" title="Abu Dabbab">Abu Dabbab</a>, <a href="https://publications.waset.org/abstracts/search?q=seismicity" title=" seismicity"> seismicity</a>, <a href="https://publications.waset.org/abstracts/search?q=seismic%20moment" title=" seismic moment"> seismic moment</a>, <a href="https://publications.waset.org/abstracts/search?q=source%20parameter" title=" source parameter"> source parameter</a> </p> <a href="https://publications.waset.org/abstracts/35764/seismicity-and-source-parameter-of-some-events-in-abu-dabbab-area-red-sea-coast" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/35764.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">462</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">16464</span> The Reliability of Wireless Sensor Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bohuslava%20Juhasova">Bohuslava Juhasova</a>, <a href="https://publications.waset.org/abstracts/search?q=Igor%20Halenar"> Igor Halenar</a>, <a href="https://publications.waset.org/abstracts/search?q=Martin%20Juhas"> Martin Juhas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The wireless communication is one of the widely used methods of data transfer at the present days. The benefit of this communication method is the partial independence of the infrastructure and the possibility of mobility. In some special applications it is the only way how to connect. This paper presents some problems in the implementation of a sensor network connection for measuring environmental parameters in the area of manufacturing plants. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=network" title="network">network</a>, <a href="https://publications.waset.org/abstracts/search?q=communication" title=" communication"> communication</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability" title=" reliability"> reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=sensors" title=" sensors"> sensors</a> </p> <a href="https://publications.waset.org/abstracts/6442/the-reliability-of-wireless-sensor-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/6442.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">652</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">16463</span> Point-of-Interest Recommender Systems for Location-Based Social Network Services</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hoyeon%20Park">Hoyeon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Yunhwan%20Keon"> Yunhwan Keon</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyoung-Jae%20Kim"> Kyoung-Jae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Location Based Social Network services (LBSNs) is a new term that combines location based service and social network service (SNS). Unlike traditional SNS, LBSNs emphasizes empirical elements in the user's actual physical location. Point-of-Interest (POI) is the most important factor to implement LBSNs recommendation system. POI information is the most popular spot in the area. In this study, we would like to recommend POI to users in a specific area through recommendation system using collaborative filtering. The process is as follows: first, we will use different data sets based on Seoul and New York to find interesting results on human behavior. Secondly, based on the location-based activity information obtained from the personalized LBSNs, we have devised a new rating that defines the user's preference for the area. Finally, we have developed an automated rating algorithm from massive raw data using distributed systems to reduce advertising costs of LBSNs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=location-based%20social%20network%20services" title="location-based social network services">location-based social network services</a>, <a href="https://publications.waset.org/abstracts/search?q=point-of-interest" title=" point-of-interest"> point-of-interest</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20analytics" title=" business analytics"> business analytics</a> </p> <a href="https://publications.waset.org/abstracts/81920/point-of-interest-recommender-systems-for-location-based-social-network-services" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81920.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">229</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">16462</span> Asynchronous Low Duty Cycle Media Access Control Protocol for Body Area Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yasin%20Ghasemi-Zadeh">Yasin Ghasemi-Zadeh</a>, <a href="https://publications.waset.org/abstracts/search?q=Yousef%20Kavian"> Yousef Kavian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless body area networks (WBANs) technology has achieved lots of popularity over the last decade with a wide range of medical applications. This paper presents an asynchronous media access control (MAC) protocol based on B-MAC protocol by giving an application for medical issues. In WBAN applications, there are some serious problems such as energy, latency, link reliability (quality of wireless link) and throughput which are mainly due to size of sensor networks and human body specifications. To overcome these problems and improving link reliability, we concentrated on MAC layer that supports mobility models for medical applications. In the presented protocol, preamble frames are divided into some sub-frames considering the threshold level. Actually, the main reason for creating shorter preambles is the link reliability where due to some reasons such as water, the body signals are affected on some frequency bands and causes fading and shadowing on signals, therefore by increasing the link reliability, these effects are reduced. In case of mobility model, we use MoBAN model and modify that for some more areas. The presented asynchronous MAC protocol is modeled by OMNeT++ simulator. The results demonstrate increasing the link reliability comparing to B-MAC protocol where the packet reception ratio (PRR) is 92% also covers more mobility areas than MoBAN protocol. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20body%20area%20networks%20%28WBANs%29" title="wireless body area networks (WBANs)">wireless body area networks (WBANs)</a>, <a href="https://publications.waset.org/abstracts/search?q=MAC%20protocol" title=" MAC protocol"> MAC protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=link%20reliability" title=" link reliability"> link reliability</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility" title=" mobility"> mobility</a>, <a href="https://publications.waset.org/abstracts/search?q=biomedical" title=" biomedical"> biomedical</a> </p> <a href="https://publications.waset.org/abstracts/62759/asynchronous-low-duty-cycle-media-access-control-protocol-for-body-area-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62759.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">369</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">16461</span> Integrative Analysis of Urban Transportation Network and Land Use Using GIS: A Case Study of Siddipet City</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P.%20Priya%20Madhuri">P. Priya Madhuri</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Kamini"> J. Kamini</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20C.%20Jayanthi"> S. C. Jayanthi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Assessment of land use and transportation networks is essential for sustainable urban growth, urban planning, efficient public transportation systems, and reducing traffic congestion. The study focuses on land use, population density, and their correlation with the road network for future development. The scope of the study covers inventory and assessment of the road network dataset (line) at the city, zonal, or ward level, which is extracted from very high-resolution satellite data (spatial resolution < 0.5 m) at 1:4000 map scale and ground truth verification. Road network assessment is carried out by computing various indices that measure road coverage and connectivity. In this study, an assessment of the road network is carried out for the study region at the municipal and ward levels. In order to identify gaps, road coverage and connectivity were associated with urban land use, built-up area, and population density in the study area. Ward-wise road connectivity and coverage maps have been prepared. To assess the relationship between road network metrics, correlation analysis is applied. The study's conclusions are extremely beneficial for effective road network planning and detecting gaps in the road network at the ward level in association with urban land use, existing built-up, and population. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=road%20connectivity" title="road connectivity">road connectivity</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20coverage" title=" road coverage"> road coverage</a>, <a href="https://publications.waset.org/abstracts/search?q=road%20network" title=" road network"> road network</a>, <a href="https://publications.waset.org/abstracts/search?q=urban%20land%20use" title=" urban land use"> urban land use</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation%20analysis" title=" transportation analysis"> transportation analysis</a> </p> <a href="https://publications.waset.org/abstracts/188442/integrative-analysis-of-urban-transportation-network-and-land-use-using-gis-a-case-study-of-siddipet-city" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/188442.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">33</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">16460</span> A Comparison between Artificial Neural Network Prediction Models for Coronal Hole Related High Speed Streams</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rehab%20Abdulmajed">Rehab Abdulmajed</a>, <a href="https://publications.waset.org/abstracts/search?q=Amr%20Hamada"> Amr Hamada</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Elsaid"> Ahmed Elsaid</a>, <a href="https://publications.waset.org/abstracts/search?q=Hisashi%20Hayakawa"> Hisashi Hayakawa</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayman%20Mahrous"> Ayman Mahrous</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Solar emissions have a high impact on the Earth’s magnetic field, and the prediction of solar events is of high interest. Various techniques have been used in the prediction of solar wind using mathematical models, MHD models, and neural network (NN) models. This study investigates the coronal hole (CH) derived high-speed streams (HSSs) and their correlation to the CH area and create a neural network model to predict the HSSs. Two different algorithms were used to compare different models to find a model that best simulates the HSSs. A dataset of CH synoptic maps through Carrington rotations 1601 to 2185 along with Omni-data set solar wind speed averaged over the Carrington rotations is used, which covers Solar cycles (sc) 21, 22, 23, and most of 24. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=coronal%20hole%20area" title=" coronal hole area"> coronal hole area</a>, <a href="https://publications.waset.org/abstracts/search?q=feed-forward%20neural%20network%20models" title=" feed-forward neural network models"> feed-forward neural network models</a>, <a href="https://publications.waset.org/abstracts/search?q=solar%20high%20speed%20streams" title=" solar high speed streams"> solar high speed streams</a> </p> <a href="https://publications.waset.org/abstracts/167145/a-comparison-between-artificial-neural-network-prediction-models-for-coronal-hole-related-high-speed-streams" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167145.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> <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=body%20area%20network&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=body%20area%20network&page=3">3</a></li> <li class="page-item"><a class="page-link" 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