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cluster tip reduction (1/3</title> <meta name="description" content="Search results for: different cluster tip reduction (1/3"> <meta name="keywords" content="different cluster tip reduction (1/3"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research 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method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="different cluster tip reduction (1/3"> <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> 5679</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: different cluster tip reduction (1/3</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5679</span> The Effects on Yield and Yield Components of Different Level Cluster Tip Reduction and Foliar Boric Acid Applications on Alphonse Lavallee Grape Cultivar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Ak%C4%B1n">A. Akın</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20%C3%87oban"> H. Çoban</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was carried out to determine the effects of Control (C), 1/3 Cluster Tip Reduction (1/3 CTR), 1/6 Cluster Tip Reduction (1/6 CTR), 1/9 Cluster Tip Reduction (1/9 CTR), 1/3 CTR + Boric Acid (BA), 1/6 CTR + BA, 1/9 CTR + BA applications on yield and yield components of four years old Alphonse Lavallee grape variety (<em>Vitis vinifera</em> L.) grown on grafted 110 Paulsen rootstock in Konya province in Turkey in the vegetation period in 2015. According to the results, the highest maturity index 21.46 with 1/9 CTR application; the highest grape juice yields 736.67 ml with 1/3 CTR + BA application; the highest L* color value 32.07 with 1/9 CTR application; the highest a* color value 1.74 with 1/9 CTR application; the highest b* color value 3.72 with 1/9 CTR application were obtained. The effects of applications on grape fresh yield, cluster weight and berry weight were not found statistically significant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alphonse%20lavallee%20grape%20cultivar" title="alphonse lavallee grape cultivar">alphonse lavallee grape cultivar</a>, <a href="https://publications.waset.org/abstracts/search?q=different%20cluster%20tip%20reduction%20%281%2F3" title=" different cluster tip reduction (1/3"> different cluster tip reduction (1/3</a>, <a href="https://publications.waset.org/abstracts/search?q=1%2F6" title=" 1/6"> 1/6</a>, <a href="https://publications.waset.org/abstracts/search?q=1%2F9%29" title=" 1/9)"> 1/9)</a>, <a href="https://publications.waset.org/abstracts/search?q=foliar%20boric%20acid%20application" title=" foliar boric acid application"> foliar boric acid application</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=quality" title=" quality"> quality</a> </p> <a href="https://publications.waset.org/abstracts/46638/the-effects-on-yield-and-yield-components-of-different-level-cluster-tip-reduction-and-foliar-boric-acid-applications-on-alphonse-lavallee-grape-cultivar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46638.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">280</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">5678</span> The Effects of Different Level Cluster Tip Reduction and Foliar Boric Acid Applications on Yield and Yield Components of Italia Grape Cultivar</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Akin">A. Akin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was carried out on Italia grape variety (<em>Vitis vinifera </em>L.) in Konya province, Turkey in 2016. The cultivar is five years old and grown on 1103 Paulsen rootstock. It was determined the effects of applications of the Control (C), 1/3 Cluster Tip Reduction (1/3 CTR), 1/6 Cluster Tip Reduction (1/6 CTR), 1/9 Cluster Tip Reduction (1/9 CTR), 1/3 CTR+Boric Acid (BA), 1/6 CTR+BA, 1/9 CTR+BA, on yield and yield components of the Italia grape variety. The results were obtained as the highest fresh grape yield (4.74 g) with 1/9 CTR+BA application; the highest cluster weight (220.08 g) with 1/3 CTR application; the highest 100 berry weight (565.85 g) with 1/9 CTR+BA application; as the highest maturity index (49.28) with 1/9 CTR+BA application; as the highest must yield (685.33 ml/kg) with 1/3 CTR+BA and (685.33 ml/kg) with 1/9 CTR+BA applications. To increase the fresh grape yield, 100 berry weight and maturity index in the Italia grape variety, the 1/9 CTR+BA application can be recommended. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=boric%20acid" title="boric acid">boric acid</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20tip%20reduction" title=" cluster tip reduction"> cluster tip reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=Italia%20grape%20variety" title=" Italia grape variety"> Italia grape variety</a>, <a href="https://publications.waset.org/abstracts/search?q=yield" title=" yield"> yield</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20components" title=" yield components"> yield components</a> </p> <a href="https://publications.waset.org/abstracts/66172/the-effects-of-different-level-cluster-tip-reduction-and-foliar-boric-acid-applications-on-yield-and-yield-components-of-italia-grape-cultivar" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66172.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">5677</span> The Effects of Yield and Yield Components of Some Quality Increase Applications on Razakı Grape Variety</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=%C5%9Eehri%20%C3%87%C4%B1nar">Şehri Çınar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayd%C4%B1n%20Ak%C4%B1n"> Aydın Akın</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was conducted Razakı grape variety (Vitis vinifera L.) and its vine which was aged 19 was grown on 5 BB rootstock in a vegetation period of 2014 in Afyon province in Turkey. In this research, it was investigated whether the applications of Control (C), 1/3 Cluster Tip Reduction (1/3 CTR), Shoot Tip Reduction (STR), 1/3 CTR + STR, Boric Acid (BA), 1/3 CTR + BA, STR + BA, 1/3 CTR + STR + BA on yield and yield components of Razakı grape variety. The results were obtained as the highest fresh grape yield (7.74 kg/vine) with C application, as the highest cluster weight (244.62 g) with STR application, as the highest 100 berry weight (504.08 g) with C application, as the highest maturity index (36.89) with BA application, as the highest must yield (695.00 ml) with BA and (695.00 ml) with 1/3 CTR + STR + BA applications, as the highest intensity of L* color (46.93) with STR and (46.10) with 1/3 CTR + STR + BA applications, as the highest intensity of a* color (-5.37) with 1/3 CTR + STR and (-5.01) with STR, as the highest intensity of b* color (12.59) with STR application. The shoot tip reduction to increase cluster weight and boric acid application to increase maturity index of Razakı grape variety can be recommended. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=razak%C4%B1" title="razakı">razakı</a>, <a href="https://publications.waset.org/abstracts/search?q=1%2F3%20cluster%20tip%20reduction" title=" 1/3 cluster tip reduction"> 1/3 cluster tip reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=shoot%20tip%20reduction" title=" shoot tip reduction"> shoot tip reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=boric%20acid" title=" boric acid"> boric acid</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20and%20yield%20components" title=" yield and yield components"> yield and yield components</a> </p> <a href="https://publications.waset.org/abstracts/23556/the-effects-of-yield-and-yield-components-of-some-quality-increase-applications-on-razaki-grape-variety" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23556.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">473</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">5676</span> The Effects of Yield and Yield Components of Some Quality Increase Applications on Ismailoglu Grape Type in Turkey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ya%C5%9Far%20%C3%96nal">Yaşar Önal</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayd%C4%B1n%20Ak%C4%B1n"> Aydın Akın</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study was conducted Ismailoglu grape type (Vitis vinifera L.) and its vine which was aged 15 was grown on its own root in a vegetation period of 2013 in Nevşehir province in Turkey. In this research, it was investigated whether the applications of Control (C), 1/3 cluster tip reduction (1/3 CTR), shoot tip reduction (STR), 1/3 CTR + STR, TKI-HUMAS (TKI-HM) (Soil) (S), TKI-HM (Foliar) (F), TKI-HM (S + F), 1/3 CTR + TKI-HM (S), 1/3 CTR + TKI-HM (F), 1/3 CTR + TKI-HM (S+F), STR + TKI-HM (S), STR + TKI-HM (F), STR + TKI-HM (S + F), 1/3 CTR + STR+TKI-HM (S), 1/3 CTR + STR + TKI-HM (F), 1/3 CTR + STR + TKI-HM (S + F) on yield and yield components of Ismailoglu grape type. The results were obtained as the highest fresh grape yield (16.15 kg/vine) with TKI-HM (S), as the highest cluster weight (652.39 g) with 1/3 CTR + STR, as the highest 100 berry weight (419.07 g) with 1/3 CTR + STR + TKI-HM (F), as the highest maturity index (44.06) with 1/3 CTR, as the highest must yield (810.00 ml) with STR + TKI-HM (F), as the highest intensity of L* color (42.04) with TKI-HM (S + F), as the highest intensity of a* color (2.60) with 1/3 CTR + TKI-HM (S), as the highest intensity of b* color (7.16) with 1/3 CTR + TKI-HM (S) applications. To increase the fresh grape yield of Ismailoglu grape type can be recommended TKI-HM (S) application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=1%2F3%20cluster%20tip%20reduction" title="1/3 cluster tip reduction">1/3 cluster tip reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=shoot%20tip%20reduction" title=" shoot tip reduction"> shoot tip reduction</a>, <a href="https://publications.waset.org/abstracts/search?q=TKI-Humas%20application" title=" TKI-Humas application"> TKI-Humas application</a>, <a href="https://publications.waset.org/abstracts/search?q=yield%20and%20yield%20components" title=" yield and yield components"> yield and yield components</a> </p> <a href="https://publications.waset.org/abstracts/10925/the-effects-of-yield-and-yield-components-of-some-quality-increase-applications-on-ismailoglu-grape-type-in-turkey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10925.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">399</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">5675</span> Assessment of Energy Consumption in Cluster Redevelopment: A Case Study of Bhendi Bazar in Mumbai</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Insiya%20Kapasi">Insiya Kapasi</a>, <a href="https://publications.waset.org/abstracts/search?q=Roshni%20Udyavar%20Yehuda"> Roshni Udyavar Yehuda</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cluster Redevelopment is a new concept in the city of Mumbai. Its regulations were laid down by the government in 2009. The concept of cluster redevelopment encompasses a group of buildings defined by a boundary as specified by the municipal authority (in this case, Mumbai), which may be dilapidated or approved for redevelopment. The study analyses the effect of cluster redevelopment in the form of renewal of old group of buildings as compared to refurbishment or restoration - on energy consumption. The methodology includes methods of assessment to determine increase or decrease in energy consumption in cluster redevelopment based on different criteria such as carpet area of the units, building envelope and its architectural elements. Results show that as the area and number of units increase the Energy consumption increases and the EPI (energy performance index) decreases as compared to the base case. The energy consumption per unit area declines by 29% in the proposed cluster redevelopment as compared to the original settlement. It is recommended that although the development is spacious and provides more light and ventilation, aspects such as glass type, traditional architectural features and consumer behavior are critical in the reduction of energy consumption. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cluster%20Redevelopment" title="Cluster Redevelopment">Cluster Redevelopment</a>, <a href="https://publications.waset.org/abstracts/search?q=Energy%20Consumption" title=" Energy Consumption"> Energy Consumption</a>, <a href="https://publications.waset.org/abstracts/search?q=Energy%20Efficiency" title=" Energy Efficiency"> Energy Efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=Typologies" title=" Typologies"> Typologies</a> </p> <a href="https://publications.waset.org/abstracts/126217/assessment-of-energy-consumption-in-cluster-redevelopment-a-case-study-of-bhendi-bazar-in-mumbai" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126217.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">152</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">5674</span> An Exploratory Study of Nasik Small and Medium Enterprises Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pragya%20Bhawsar">Pragya Bhawsar</a>, <a href="https://publications.waset.org/abstracts/search?q=Utpal%20Chattopadhyay"> Utpal Chattopadhyay</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Small and Medium Enterprises play crucial role in contributing to economic objectives of an emerging nation. To support SMEs, the idea of creation of clusters has been prevalent since past two decades. In this paper, an attempt has been done to explore the impact of being in the cluster on the competitiveness of SMEs. To meet the objective, Nasik Cluster (India) has been selected. The information was collected by means of two focus group discussions and survey of thirty SMEs. The finding generates interest revealing the fact that under the concept ‘Cluster’ a lot of ambiguity flourish. Besides the problems and opportunities of the firms in the cluster the results bring to notice that the benefits of clusterization can only reach to SMEs when the whole location can be considered/understood as a cluster, rather than many subsets (various forms of clusters) prevailing under it. Fostering such an understanding calls for harmony among the various stakeholders of the clusters. The dynamics of interaction among government, local industry associations, relevant institutions, large firms and finally SMEs which makes the most of the location based cluster, are significant in shaping the host cluster’s competitiveness and vice versa. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=SMEs" title="SMEs">SMEs</a>, <a href="https://publications.waset.org/abstracts/search?q=industry%20clusters" title=" industry clusters"> industry clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=common%20facility%20centres" title=" common facility centres"> common facility centres</a>, <a href="https://publications.waset.org/abstracts/search?q=co-creation" title=" co-creation"> co-creation</a>, <a href="https://publications.waset.org/abstracts/search?q=policy" title=" policy"> policy</a> </p> <a href="https://publications.waset.org/abstracts/66755/an-exploratory-study-of-nasik-small-and-medium-enterprises-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/66755.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">294</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">5673</span> Enhanced Cluster Based Connectivity Maintenance in Vehicular Ad Hoc Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Manverpreet%20Kaur">Manverpreet Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Amarpreet%20Singh"> Amarpreet Singh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The demand of Vehicular ad hoc networks is increasing day by day, due to offering the various applications and marvelous benefits to VANET users. Clustering in VANETs is most important to overcome the connectivity problems of VANETs. In this paper, we proposed a new clustering technique Enhanced cluster based connectivity maintenance in vehicular ad hoc network. Our objective is to form long living clusters. The proposed approach is grouping the vehicles, on the basis of the longest list of neighbors to form clusters. The cluster formation and cluster head selection process done by the RSU that may results it reduces the chances of overhead on to the network. The cluster head selection procedure is the vehicle which has closest speed to average speed will elect as a cluster Head by the RSU and if two vehicles have same speed which is closest to average speed then they will be calculate by one of the new parameter i.e. distance to their respective destination. The vehicle which has largest distance to their destination will be choosing as a cluster Head by the RSU. Our simulation outcomes show that our technique performs better than the existing technique. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=VANETs" title="VANETs">VANETs</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=connectivity" title=" connectivity"> connectivity</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20head" title=" cluster head"> cluster head</a>, <a href="https://publications.waset.org/abstracts/search?q=intelligent%20transportation%20system%20%28ITS%29" title=" intelligent transportation system (ITS)"> intelligent transportation system (ITS)</a> </p> <a href="https://publications.waset.org/abstracts/41250/enhanced-cluster-based-connectivity-maintenance-in-vehicular-ad-hoc-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41250.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">247</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">5672</span> Static Properties of Ge and Sr Isotopes in the Cluster Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Shojaei">Mohammad Reza Shojaei</a>, <a href="https://publications.waset.org/abstracts/search?q=Mahdeih%20Mirzaeinia"> Mahdeih Mirzaeinia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We have studied the cluster structure of even-even stable isotopes of Ge and Sr. The Schrodinger equation has been solved using the generalized parametric Nikiforov-Uvarov method with a phenomenological potential. This potential is the sum of the attractive Yukawa-like potential, a Manning-Rosen-type potential, and the repulsive Yukawa potential for interaction between the cluster and the core. We have shown that the available experimental data of the first rotational band energies can be well described by assuming a binary system of the α cluster and the core and using an analytical solution. Our results were consistent with experimental values. Hence, this model can be applied to study the other even-even isotopes <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cluser%20model" title="cluser model">cluser model</a>, <a href="https://publications.waset.org/abstracts/search?q=NU%20method" title=" NU method"> NU method</a>, <a href="https://publications.waset.org/abstracts/search?q=ge%20and%20Sr" title=" ge and Sr"> ge and Sr</a>, <a href="https://publications.waset.org/abstracts/search?q=potential%20central" title=" potential central"> potential central</a> </p> <a href="https://publications.waset.org/abstracts/156406/static-properties-of-ge-and-sr-isotopes-in-the-cluster-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/156406.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">76</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">5671</span> Implementing a Neural Network on a Low-Power and Mobile Cluster to Aide Drivers with Predictive AI for Traffic Behavior</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christopher%20Lama">Christopher Lama</a>, <a href="https://publications.waset.org/abstracts/search?q=Alix%20Rieser"> Alix Rieser</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksandra%20Molchanova"> Aleksandra Molchanova</a>, <a href="https://publications.waset.org/abstracts/search?q=Charles%20Thangaraj"> Charles Thangaraj</a> </p> <p class="card-text"><strong>Abstract:</strong></p> New technologies like Tesla’s Dojo have made high-performance embedded computing more available. Although automobile computing has developed and benefited enormously from these more recent technologies, the costs are still high, prohibitively high in some cases for broader adaptation, particularly for the after-market and enthusiast markets. This project aims to implement a Raspberry Pi-based low-power (under one hundred Watts) highly mobile computing cluster for a neural network. The computing cluster built from off-the-shelf components is more affordable and, therefore, makes wider adoption possible. The paper describes the design of the neural network, Raspberry Pi-based cluster, and applications the cluster will run. The neural network will use input data from sensors and cameras to project a live view of the road state as the user drives. The neural network will be trained to predict traffic behavior and generate warnings when potentially dangerous situations are predicted. The significant outcomes of this study will be two folds, firstly, to implement and test the low-cost cluster, and secondly, to ascertain the effectiveness of the predictive AI implemented on the cluster. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CS%20pedagogy" title="CS pedagogy">CS pedagogy</a>, <a href="https://publications.waset.org/abstracts/search?q=student%20research" title=" student research"> student research</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20computing" title=" cluster computing"> cluster computing</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a> </p> <a href="https://publications.waset.org/abstracts/164079/implementing-a-neural-network-on-a-low-power-and-mobile-cluster-to-aide-drivers-with-predictive-ai-for-traffic-behavior" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164079.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">102</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">5670</span> Proposing an Algorithm to Cluster Ad Hoc Networks, Modulating Two Levels of Learning Automaton and Nodes Additive Weighting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Rostami">Mohammad Rostami</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Forghani"> Mohammad Reza Forghani</a>, <a href="https://publications.waset.org/abstracts/search?q=Elahe%20Neshat"> Elahe Neshat</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatemeh%20Yaghoobi"> Fatemeh Yaghoobi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> An Ad Hoc network consists of wireless mobile equipment which connects to each other without any infrastructure, using connection equipment. The best way to form a hierarchical structure is clustering. Various methods of clustering can form more stable clusters according to nodes' mobility. In this research we propose an algorithm, which allocates some weight to nodes based on factors, i.e. link stability and power reduction rate. According to the allocated weight in the previous phase, the cellular learning automaton picks out in the second phase nodes which are candidates for being cluster head. In the third phase, learning automaton selects cluster head nodes, member nodes and forms the cluster. Thus, this automaton does the learning from the setting and can form optimized clusters in terms of power consumption and link stability. To simulate the proposed algorithm we have used omnet++4.2.2. Simulation results indicate that newly formed clusters have a longer lifetime than previous algorithms and decrease strongly network overload by reducing update rate. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20Ad%20Hoc%20networks" title="mobile Ad Hoc networks">mobile Ad Hoc networks</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20automaton" title=" learning automaton"> learning automaton</a>, <a href="https://publications.waset.org/abstracts/search?q=cellular%20automaton" title=" cellular automaton"> cellular automaton</a>, <a href="https://publications.waset.org/abstracts/search?q=battery%20power" title=" battery power"> battery power</a> </p> <a href="https://publications.waset.org/abstracts/46359/proposing-an-algorithm-to-cluster-ad-hoc-networks-modulating-two-levels-of-learning-automaton-and-nodes-additive-weighting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/46359.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">411</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">5669</span> A Hybrid Method for Determination of Effective Poles Using Clustering Dominant Pole Algorithm </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Anuj%20Abraham">Anuj Abraham</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Pappa"> N. Pappa</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Honc"> Daniel Honc</a>, <a href="https://publications.waset.org/abstracts/search?q=Rahul%20Sharma"> Rahul Sharma</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an analysis of some model order reduction techniques is presented. A new hybrid algorithm for model order reduction of linear time invariant systems is compared with the conventional techniques namely Balanced Truncation, Hankel Norm reduction and Dominant Pole Algorithm (DPA). The proposed hybrid algorithm is known as Clustering Dominant Pole Algorithm (CDPA) is able to compute the full set of dominant poles and its cluster center efficiently. The dominant poles of a transfer function are specific eigenvalues of the state space matrix of the corresponding dynamical system. The effectiveness of this novel technique is shown through the simulation results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=balanced%20truncation" title="balanced truncation">balanced truncation</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=dominant%20pole" title=" dominant pole"> dominant pole</a>, <a href="https://publications.waset.org/abstracts/search?q=Hankel%20norm" title=" Hankel norm"> Hankel norm</a>, <a href="https://publications.waset.org/abstracts/search?q=model%20reduction" title=" model reduction"> model reduction</a> </p> <a href="https://publications.waset.org/abstracts/17480/a-hybrid-method-for-determination-of-effective-poles-using-clustering-dominant-pole-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17480.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">599</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">5668</span> Cluster Analysis of Students’ Learning Satisfaction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Purevdolgor%20Luvsantseren">Purevdolgor Luvsantseren</a>, <a href="https://publications.waset.org/abstracts/search?q=Ajnai%20Luvsan-Ish"> Ajnai Luvsan-Ish</a>, <a href="https://publications.waset.org/abstracts/search?q=Oyuntsetseg%20Sandag"> Oyuntsetseg Sandag</a>, <a href="https://publications.waset.org/abstracts/search?q=Javzmaa%20Tsend"> Javzmaa Tsend</a>, <a href="https://publications.waset.org/abstracts/search?q=Akhit%20Tileubai"> Akhit Tileubai</a>, <a href="https://publications.waset.org/abstracts/search?q=Baasandorj%20Chilhaasuren"> Baasandorj Chilhaasuren</a>, <a href="https://publications.waset.org/abstracts/search?q=Jargalbat%20Puntsagdash"> Jargalbat Puntsagdash</a>, <a href="https://publications.waset.org/abstracts/search?q=Galbadrakh%20Chuluunbaatar"> Galbadrakh Chuluunbaatar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> One of the indicators of the quality of university services is student satisfaction. Aim: We aimed to study the level of satisfaction of students in the first year of premedical courses in the course of Medical Physics using the cluster method. Materials and Methods: In the framework of this goal, a questionnaire was collected from a total of 324 students who studied the medical physics course of the 1st course of the premedical course at the Mongolian National University of Medical Sciences. When determining the level of satisfaction, the answers were obtained on five levels of satisfaction: "excellent", "good", "medium", "bad" and "very bad". A total of 39 questionnaires were collected from students: 8 for course evaluation, 19 for teacher evaluation, and 12 for student evaluation. From the research, a database with 39 fields and 324 records was created. Results: In this database, cluster analysis was performed in MATLAB and R programs using the k-means method of data mining. Calculated the Hopkins statistic in the created database, the values are 0.88, 0.87, and 0.97. This shows that cluster analysis methods can be used. The course evaluation sub-fund is divided into three clusters. Among them, cluster I has 150 objects with a "good" rating of 46.2%, cluster II has 119 objects with a "medium" rating of 36.7%, and Cluster III has 54 objects with a "good" rating of 16.6%. The teacher evaluation sub-base into three clusters, there are 179 objects with a "good" rating of 55.2% in cluster II, 108 objects with an "average" rating of 33.3% in cluster III, and 36 objects with an "excellent" rating in cluster I of 11.1%. The sub-base of student evaluations is divided into two clusters: cluster II has 215 objects with an "excellent" rating of 66.3%, and cluster I has 108 objects with an "excellent" rating of 33.3%. Evaluating the resulting clusters with the Silhouette coefficient, 0.32 for the course evaluation cluster, 0.31 for the teacher evaluation cluster, and 0.30 for student evaluation show statistical significance. Conclusion: Finally, to conclude, cluster analysis in the model of the medical physics lesson “good” - 46.2%, “middle” - 36.7%, “bad” - 16.6%; 55.2% - “good”, 33.3% - “middle”, 11.1% - “bad” in the teacher evaluation model; 66.3% - “good” and 33.3% of “bad” in the student evaluation model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=questionnaire" title="questionnaire">questionnaire</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=k-means%20method" title=" k-means method"> k-means method</a>, <a href="https://publications.waset.org/abstracts/search?q=silhouette%20coefficient" title=" silhouette coefficient"> silhouette coefficient</a> </p> <a href="https://publications.waset.org/abstracts/185266/cluster-analysis-of-students-learning-satisfaction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185266.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">49</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">5667</span> Analysis of Entrepreneurship in Industrial Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wen-Hsiang%20Lai">Wen-Hsiang Lai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Except for the internal aspects of entrepreneurship (i.e. motivation, opportunity perspective and alertness), there are external aspects that affecting entrepreneurship (i.e. the industrial cluster). By comparing the machinery companies located inside and outside the industrial district, this study aims to explore the cluster effects on the entrepreneurship of companies in Taiwan machinery clusters (TMC). In this study, three factors affecting the entrepreneurship in TMC are conducted as “competition”, “embedded-ness” and “specialized knowledge”. The “competition” in the industrial cluster is defined as the competitive advantages that companies gain in form of demand effects and diversified strategies; the “embedded-ness” refers to the quality of company relations (relational embedded-ness) and ranges (structural embedded-ness) with the industry components (universities, customers and complementary) that affecting knowledge transfer and knowledge generations; the “specialized knowledge” shares the internal knowledge within industrial clusters. This study finds that when comparing to the companies which are outside the cluster, the industrial cluster has positive influence on the entrepreneurship. Additionally, the factor of “relational embedded-ness” has significant impact on the entrepreneurship and affects the adaptation ability of companies in TMC. Finally, the factor of “competition” reveals partial influence on the entrepreneurship. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=entrepreneurship" title="entrepreneurship">entrepreneurship</a>, <a href="https://publications.waset.org/abstracts/search?q=industrial%20cluster" title=" industrial cluster"> industrial cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=industrial%20district" title=" industrial district"> industrial district</a>, <a href="https://publications.waset.org/abstracts/search?q=economies%20of%20agglomerations" title=" economies of agglomerations"> economies of agglomerations</a>, <a href="https://publications.waset.org/abstracts/search?q=Taiwan%20Machinery%20Cluster%20%28TMC%29" title=" Taiwan Machinery Cluster (TMC) "> Taiwan Machinery Cluster (TMC) </a> </p> <a href="https://publications.waset.org/abstracts/7918/analysis-of-entrepreneurship-in-industrial-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7918.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">388</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">5666</span> Some Issues with Extension of an HPC Cluster</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pil%20Seong%20Park">Pil Seong Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Homemade HPC clusters are widely used in many small labs, because they are easy to build and cost-effective. Even though incremental growth is an advantage of clusters, it results in heterogeneous systems anyhow. Instead of adding new nodes to the cluster, we can extend clusters to include some other Internet servers working independently on the same LAN, so that we can make use of their idle times, especially during the night. However extension across a firewall raises some security problems with NFS. In this paper, we propose a method to solve such a problem using SSH tunneling, and suggest a modified structure of the cluster that implements it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extension%20of%20HPC%20clusters" title="extension of HPC clusters">extension of HPC clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=NFS" title=" NFS"> NFS</a>, <a href="https://publications.waset.org/abstracts/search?q=SSH%20tunneling" title=" SSH tunneling"> SSH tunneling</a> </p> <a href="https://publications.waset.org/abstracts/8521/some-issues-with-extension-of-an-hpc-cluster" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8521.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">426</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">5665</span> Hybridized Approach for Distance Estimation Using K-Means Clustering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ritu%20Vashistha">Ritu Vashistha</a>, <a href="https://publications.waset.org/abstracts/search?q=Jitender%20Kumar"> Jitender Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Clustering using the K-means algorithm is a very common way to understand and analyze the obtained output data. When a similar object is grouped, this is called the basis of Clustering. There is K number of objects and C number of cluster in to single cluster in which k is always supposed to be less than C having each cluster to be its own centroid but the major problem is how is identify the cluster is correct based on the data. Formulation of the cluster is not a regular task for every tuple of row record or entity but it is done by an iterative process. Each and every record, tuple, entity is checked and examined and similarity dissimilarity is examined. So this iterative process seems to be very lengthy and unable to give optimal output for the cluster and time taken to find the cluster. To overcome the drawback challenge, we are proposing a formula to find the clusters at the run time, so this approach can give us optimal results. The proposed approach uses the Euclidian distance formula as well melanosis to find the minimum distance between slots as technically we called clusters and the same approach we have also applied to Ant Colony Optimization(ACO) algorithm, which results in the production of two and multi-dimensional matrix. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ant%20colony%20optimization" title="ant colony optimization">ant colony optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20clustering" title=" data clustering"> data clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=centroids" title=" centroids"> centroids</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title=" data mining"> data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=k-means" title=" k-means"> k-means</a> </p> <a href="https://publications.waset.org/abstracts/147011/hybridized-approach-for-distance-estimation-using-k-means-clustering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147011.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">128</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">5664</span> Some Results on Cluster Synchronization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shahed%20Vahedi">Shahed Vahedi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Salmi%20Md%20Noorani"> Mohd Salmi Md Noorani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigates cluster synchronization phenomena between community networks. We focus on the situation where a variety of dynamics occur in the clusters. In particular, we show that different synchronization states simultaneously occur between the networks. The controller is designed having an adaptive control gain, and theoretical results are derived via Lyapunov stability. Simulations on well-known dynamical systems are provided to elucidate our results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cluster%20synchronization" title="cluster synchronization">cluster synchronization</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title=" adaptive control"> adaptive control</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20network" title=" community network"> community network</a>, <a href="https://publications.waset.org/abstracts/search?q=simulation" title=" simulation"> simulation</a> </p> <a href="https://publications.waset.org/abstracts/28916/some-results-on-cluster-synchronization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28916.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">475</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">5663</span> A Comparative and Critical Analysis of Some Routing Protocols in Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ishtiaq%20Wahid">Ishtiaq Wahid</a>, <a href="https://publications.waset.org/abstracts/search?q=Masood%20Ahmad"> Masood Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=Nighat%20Ayub"> Nighat Ayub</a>, <a href="https://publications.waset.org/abstracts/search?q=Sajad%20Ali"> Sajad Ali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lifetime of a wireless sensor network (WSN) is directly proportional to the energy consumption of its constituent nodes. Routing in wireless sensor network is very challenging due its inherit characteristics. In hierarchal routing the sensor ﬁled is divided into clusters. The cluster-heads are selected from each cluster, which forms a hierarchy of nodes. The cluster-heads are used to transmit the data to the base station while other nodes perform the sensing task. In this way the lifetime of the network is increased. In this paper a comparative study of hierarchal routing protocols are conducted. The simulation is done in NS-2 for validation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WSN" title="WSN">WSN</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster" title=" cluster"> cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=routing" title=" routing"> routing</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20networks" title=" sensor networks"> sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/41484/a-comparative-and-critical-analysis-of-some-routing-protocols-in-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41484.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">479</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">5662</span> Collocation Assessment between GEO and GSO Satellites</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20E.%20Emam">A. E. Emam</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Abd%20Elghany"> M. Abd Elghany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The change in orbit evolution between collocated satellites (X, Y) inside +/-0.09 ° E/W and +/- 0.07 ° N/S cluster, after one of these satellites is placed in an inclined orbit (satellite X) and the effect of this change in the collocation safety inside the cluster window has been studied and evaluated. Several collocation scenarios had been studied in order to adjust the location of both satellites inside their cluster to maximize the separation between them and safe the mission. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=satellite" title="satellite">satellite</a>, <a href="https://publications.waset.org/abstracts/search?q=GEO" title=" GEO"> GEO</a>, <a href="https://publications.waset.org/abstracts/search?q=collocation" title=" collocation"> collocation</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/37245/collocation-assessment-between-geo-and-gso-satellites" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/37245.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">5661</span> Investigation of Clustering Algorithms Used in Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Naim%20Karasekreter">Naim Karasekreter</a>, <a href="https://publications.waset.org/abstracts/search?q=Ugur%20Fidan"> Ugur Fidan</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatih%20Basciftci"> Fatih Basciftci</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless sensor networks are networks in which more than one sensor node is organized among themselves. The working principle is based on the transfer of the sensed data over the other nodes in the network to the central station. Wireless sensor networks concentrate on routing algorithms, energy efficiency and clustering algorithms. In the clustering method, the nodes in the network are divided into clusters using different parameters and the most suitable cluster head is selected from among them. The data to be sent to the center is sent per cluster, and the cluster head is transmitted to the center. With this method, the network traffic is reduced and the energy efficiency of the nodes is increased. In this study, clustering algorithms were examined in terms of clustering performances and cluster head selection characteristics to try to identify weak and strong sides. This work is supported by the Project 17.Kariyer.123 of Afyon Kocatepe University BAP Commission. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks%20%28WSN%29" title="wireless sensor networks (WSN)">wireless sensor networks (WSN)</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering%20algorithm" title=" clustering algorithm"> clustering algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20head" title=" cluster head"> cluster head</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a> </p> <a href="https://publications.waset.org/abstracts/78846/investigation-of-clustering-algorithms-used-in-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78846.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">513</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">5660</span> Anomaly Detection Based Fuzzy K-Mode Clustering for Categorical Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Murat%20Yazici">Murat Yazici</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Anomalies are irregularities found in data that do not adhere to a well-defined standard of normal behavior. The identification of outliers or anomalies in data has been a subject of study within the statistics field since the 1800s. Over time, a variety of anomaly detection techniques have been developed in several research communities. The cluster analysis can be used to detect anomalies. It is the process of associating data with clusters that are as similar as possible while dissimilar clusters are associated with each other. Many of the traditional cluster algorithms have limitations in dealing with data sets containing categorical properties. To detect anomalies in categorical data, fuzzy clustering approach can be used with its advantages. The fuzzy k-Mode (FKM) clustering algorithm, which is one of the fuzzy clustering approaches, by extension to the k-means algorithm, is reported for clustering datasets with categorical values. It is a form of clustering: each point can be associated with more than one cluster. In this paper, anomaly detection is performed on two simulated data by using the FKM cluster algorithm. As a significance of the study, the FKM cluster algorithm allows to determine anomalies with their abnormality degree in contrast to numerous anomaly detection algorithms. According to the results, the FKM cluster algorithm illustrated good performance in the anomaly detection of data, including both one anomaly and more than one anomaly. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20k-mode%20clustering" title="fuzzy k-mode clustering">fuzzy k-mode clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=anomaly%20detection" title=" anomaly detection"> anomaly detection</a>, <a href="https://publications.waset.org/abstracts/search?q=noise" title=" noise"> noise</a>, <a href="https://publications.waset.org/abstracts/search?q=categorical%20data" title=" categorical data"> categorical data</a> </p> <a href="https://publications.waset.org/abstracts/185305/anomaly-detection-based-fuzzy-k-mode-clustering-for-categorical-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185305.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">53</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">5659</span> Evaluation of Groundwater Quality and Its Suitability for Drinking and Agricultural Purposes Using Self-Organizing Maps</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=L.%20Belkhiri">L. Belkhiri</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20Mouni"> L. Mouni</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Tiri"> A. Tiri</a>, <a href="https://publications.waset.org/abstracts/search?q=T.S.%20Narany"> T.S. Narany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the present study, the self-organizing map (SOM) clustering technique was applied to identify homogeneous clusters of hydrochemical parameters in El Milia plain, Algeria, to assess the quality of groundwater for potable and agricultural purposes. The visualization of SOM-analysis indicated that 35 groundwater samples collected in the study area were classified into three clusters, which showed progressive increase in electrical conductivity from cluster one to cluster three. Samples belonging to cluster one are mostly located in the recharge zone showing hard fresh water type, however, water type gradually changed to hard-brackish type in the discharge zone, including clusters two and three. Ionic ratio studies indicated the role of carbonate rock dissolution in increases on groundwater hardness, especially in cluster one. However, evaporation and evapotranspiration are the main processes increasing salinity in cluster two and three. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=groundwater%20quality" title="groundwater quality">groundwater quality</a>, <a href="https://publications.waset.org/abstracts/search?q=self-organizing%20maps" title=" self-organizing maps"> self-organizing maps</a>, <a href="https://publications.waset.org/abstracts/search?q=drinking%20water" title=" drinking water"> drinking water</a>, <a href="https://publications.waset.org/abstracts/search?q=irrigation%20water" title=" irrigation water"> irrigation water</a> </p> <a href="https://publications.waset.org/abstracts/62284/evaluation-of-groundwater-quality-and-its-suitability-for-drinking-and-agricultural-purposes-using-self-organizing-maps" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62284.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">256</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5658</span> O-LEACH: The Problem of Orphan Nodes in the LEACH of Routing Protocol for Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wassim%20Jerbi">Wassim Jerbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Abderrahmen%20Guermazi"> Abderrahmen Guermazi</a>, <a href="https://publications.waset.org/abstracts/search?q=Hafedh%20Trabelsi"> Hafedh Trabelsi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The optimum use of coverage in wireless sensor networks (WSNs) is very important. LEACH protocol called Low Energy Adaptive Clustering Hierarchy, presents a hierarchical clustering algorithm for wireless sensor networks. LEACH is a protocol that allows the formation of distributed cluster. In each cluster, LEACH randomly selects some sensor nodes called cluster heads (CHs). The selection of CHs is made with a probabilistic calculation. It is supposed that each non-CH node joins a cluster and becomes a cluster member. Nevertheless, some CHs can be concentrated in a specific part of the network. Thus, several sensor nodes cannot reach any CH. to solve this problem. We created an O-LEACH Orphan nodes protocol, its role is to reduce the sensor nodes which do not belong the cluster. The cluster member called Gateway receives messages from neighboring orphan nodes. The gateway informs CH having the neighboring nodes that not belong to any group. However, Gateway called (CH') attaches the orphaned nodes to the cluster and then collected the data. O-Leach enables the formation of a new method of cluster, leads to a long life and minimal energy consumption. Orphan nodes possess enough energy and seeks to be covered by the network. The principal novel contribution of the proposed work is O-LEACH protocol which provides coverage of the whole network with a minimum number of orphaned nodes and has a very high connectivity rates.As a result, the WSN application receives data from the entire network including orphan nodes. The proper functioning of the Application requires, therefore, management of intelligent resources present within each the network sensor. The simulation results show that O-LEACH performs better than LEACH in terms of coverage, connectivity rate, energy and scalability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=WSNs%3B%20routing%3B%20LEACH%3B%20O-LEACH%3B%20Orphan%20nodes%3B%20sub-cluster%3B%20gateway%3B%20CH%E2%80%99" title="WSNs; routing; LEACH; O-LEACH; Orphan nodes; sub-cluster; gateway; CH’">WSNs; routing; LEACH; O-LEACH; Orphan nodes; sub-cluster; gateway; CH’</a> </p> <a href="https://publications.waset.org/abstracts/43405/o-leach-the-problem-of-orphan-nodes-in-the-leach-of-routing-protocol-for-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43405.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">371</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">5657</span> Cluster Analysis of Customer Churn in Telecom Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abbas%20Al-Refaie">Abbas Al-Refaie</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The research examines the factors that affect customer churn (CC) in the Jordanian telecom industry. A total of 700 surveys were distributed. Cluster analysis revealed three main clusters. Results showed that CC and customer satisfaction (CS) were the key determinants in forming the three clusters. In two clusters, the center values of CC were high, indicating that the customers were loyal and SC was expensive and time- and energy-consuming. Still, the mobile service provider (MSP) should enhance its communication (COM), and value added services (VASs), as well as customer complaint management systems (CCMS). Finally, for the third cluster the center of the CC indicates a poor level of loyalty, which facilitates customers churn to another MSP. The results of this study provide valuable feedback for MSP decision makers regarding approaches to improving their performance and reducing CC. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cluster%20analysis" title="cluster analysis">cluster analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=telecom%20industry" title=" telecom industry"> telecom industry</a>, <a href="https://publications.waset.org/abstracts/search?q=switching%20cost" title=" switching cost"> switching cost</a>, <a href="https://publications.waset.org/abstracts/search?q=customer%20churn" title=" customer churn"> customer churn</a> </p> <a href="https://publications.waset.org/abstracts/61662/cluster-analysis-of-customer-churn-in-telecom-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61662.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">323</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">5656</span> Factors Predicting Symptom Cluster Functional Status and Quality of Life of Chronic Obstructive Pulmonary Disease Patients</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=D.%20Supaporn">D. Supaporn</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Julaluk"> B. Julaluk </a> </p> <p class="card-text"><strong>Abstract:</strong></p> The purposes of this study were to study symptom cluster, functional status and quality of life of patients with chronic obstructive pulmonary disease (COPD), and to examine factors related to and predicting symptom cluster, functional status and quality of life of COPD patients. The sample was 180 COPD patients multi-stage random sampling from 4 hospitals in the eastern region, Thailand. The research instruments were 8 questionnaires and recorded forms measuring personal and illness data, co-morbidity, physical and psychological symptom, health status perception, social support, and regimen adherence, functional status and quality of life. Spearman rank and Pearson correlation coefficient, exploratory factors analysis and standard multiple regression were used to analyzed data. The findings revealed that two symptom clusters were generated: physical symptom cluster including dyspnea, fatigue and insomnia; and, psychological symptom cluster including anxiety and depression. Scores of physical symptom cluster was at moderate level while that of psychological symptom cluster was at low level. Scores on functional status, social support and overall regimen adherence were at good level whereas scores on quality of life and health status perception were at moderate level. Disease severity was positively related to physical symptom cluster, psychological symptom cluster and quality of life, and was negatively related to functional status at a moderate level (rs = .512, .509, .588 and -.611, respectively). Co-morbidity was positively related to physical symptom cluster and psychological symptom cluster at a low level (r = .179 and .176, respectively). Regimen adherence was negatively related to quality of life and psychological symptom cluster at a low level (r=-.277 and -.309, respectively), and was positively related to functional status at a moderate level (r=.331). Health status perception was negatively related to physical symptom cluster, psychological symptom cluster and quality of life at a moderate to high level (r = -.567, -.640 and -.721, respectively) and was positively related to functional status at a high level (r = .732). Social support was positively related to functional status (r=.235) and was negatively related to quality of life at a low level (r=-.178). Physical symptom cluster was negatively related to functional status (r= -.490) and was positively related to quality of life at a moderate level (r=.566). Psychological symptom cluster was negatively related to functional status and was positively related to quality of life at a moderate level (r= -.566 and .559, respectively). Disease severity, co-morbidity and health status perception could predict 40.2% of the variance of physical symptom cluster. Disease severity, co-morbidity, regimen adherence and health status perception could predict 49.8% of the variance of psychological symptom cluster. Co-morbidity, regimen adherence and health status perception could predict 65.0% of the variance of functional status. Disease severity, health status perception and physical symptom cluster could predict 60.0% of the variance of quality of life in COPD patients. The results of this study can be used for enhancing quality of life of COPD patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chronic%20obstructive%20pulmonary%20disease" title="chronic obstructive pulmonary disease">chronic obstructive pulmonary disease</a>, <a href="https://publications.waset.org/abstracts/search?q=functional%20status" title=" functional status"> functional status</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20of%20life" title=" quality of life"> quality of life</a>, <a href="https://publications.waset.org/abstracts/search?q=symptom%20cluster" title=" symptom cluster"> symptom cluster</a> </p> <a href="https://publications.waset.org/abstracts/18604/factors-predicting-symptom-cluster-functional-status-and-quality-of-life-of-chronic-obstructive-pulmonary-disease-patients" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/18604.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">558</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">5655</span> Role of Tourism Cluster in Improvement of Economic Competitiveness of Georgia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alexander%20Sharashenidze">Alexander Sharashenidze</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article discusses the role of tourism in the economics of Georgia, justifies the necessity of several governmental supporting tools for diversification of tourism product and increasing competitiveness. Tourism directions are characterized through discovering Georgian tourism potential, considering cultural and geographical features; tools of formating supplemental products and development opportunities of Tbilisi and, also regions are asserted in the case of conducting appropriate government policy. There are presented tools of suggesting innovative tourism products, improvement of service, decreasing taxes, also providing availability to them. The role of tourism cluster in improvement of national competitiveness is substantiated. Based on the analysis of competitive factors influencing the development of tourism cluster, conclusions are made, and recommendations are suggested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=economic%20competitivness" title="economic competitivness">economic competitivness</a>, <a href="https://publications.waset.org/abstracts/search?q=enhancing%20competitiveness" title=" enhancing competitiveness"> enhancing competitiveness</a>, <a href="https://publications.waset.org/abstracts/search?q=Georgian%20economic" title=" Georgian economic"> Georgian economic</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism%20cluster" title=" tourism cluster"> tourism cluster</a>, <a href="https://publications.waset.org/abstracts/search?q=tourism%20product" title=" tourism product"> tourism product</a> </p> <a href="https://publications.waset.org/abstracts/67053/role-of-tourism-cluster-in-improvement-of-economic-competitiveness-of-georgia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67053.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">527</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">5654</span> Clustering Locations of Textile and Garment Industries to Compare with the Future Industrial Cluster in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kanogkan%20Leerojanaprapa">Kanogkan Leerojanaprapa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Textile and garment industry is used to a major exporting industry of Thailand. According to lacking of the nation's price-competitiveness by stopping the EU's GSP (Generalised Scheme of Preferences) and ‘Nationwide Minimum Wage Policy’ that Thailand’s employers must pay all employees at least 300 baht (about $10) a day, the supply chains of the Thai textile and garment industry is affected and need to be reformed. Therefore, either Thai textile or garment industry will be existed or not would be concerned. This is also challenged for the government to decide which industries should be promoted the future industries of Thailand. Recently Thai government launch The Cluster-based Special Economic Development Zones Policy for promoting business cluster (effect on September 16, 2015). They define a cluster as the concentration of interconnected businesses and related institutions that operate within the same geographic areas and textiles and garment is one of target industrial clusters and 9 provinces are targeted (Bangkok, Kanchanaburi, Nakhon Pathom, Ratchaburi, Samut Sakhon, Chonburi, Chachoengsao, Prachinburi, and Sa Kaeo). The cluster zone are defined to link west-east corridor connected to manufacturing source in Cambodia and Mynmar to Bangkok where are promoted to be design, sourcing, and trading hub. The Thai government will provide tax and non-tax incentives for targeted industries within the clusters and expects these businesses are scattered to where they can get the most benefit which will identify future industrial cluster. This research will show the difference between the current cluster and future cluster following the target provinces of the textile and garment. The current cluster is analysed from secondary data. The four characteristics of the numbers of plants in Spinning, weaving and finishing of textiles, Manufacture of made-up textile articles, except apparel, Manufacture of knitted and crocheted fabrics, and Manufacture of other textiles, not elsewhere classified in particular 77 provinces (in total) are clustered by K-means cluster analysis and Hierarchical Cluster Analysis. In addition, the cluster can be confirmed and showed which variables contribute the most to defined cluster solution with ANOVA test. The results of analysis can identify 22 provinces (which the textile or garment plants are located) into 3 clusters. Plants in cluster 1 tend to be large numbers of plants which is only Bangkok, Next plants in cluster 2 tend to be moderate numbers of plants which are Samut Prakan, Samut Sakhon and Nakhon Pathom. Finally plants in cluster 3 tend to be little numbers of plants which are other 18 provinces. The same methodology can be implemented in other industries for future study. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ANOVA" title="ANOVA">ANOVA</a>, <a href="https://publications.waset.org/abstracts/search?q=hierarchical%20cluster%20analysis" title=" hierarchical cluster analysis"> hierarchical cluster analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=industrial%20clusters" title=" industrial clusters"> industrial clusters</a>, <a href="https://publications.waset.org/abstracts/search?q=K%20-means%20cluster%20analysis" title=" K -means cluster analysis"> K -means cluster analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=textile%20and%20garment%20industry" title=" textile and garment industry"> textile and garment industry</a> </p> <a href="https://publications.waset.org/abstracts/45318/clustering-locations-of-textile-and-garment-industries-to-compare-with-the-future-industrial-cluster-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45318.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">213</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">5653</span> Optimized Cluster Head Selection Algorithm Based on LEACH Protocol for Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wided%20Abidi">Wided Abidi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tahar%20Ezzedine"> Tahar Ezzedine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Low-Energy Adaptive Clustering Hierarchy (LEACH) has been considered as one of the effective hierarchical routing algorithms that optimize energy and prolong the lifetime of network. Since the selection of Cluster Head (CH) in LEACH is carried out randomly, in this paper, we propose an approach of electing CH based on LEACH protocol. In other words, we present a formula for calculating the threshold responsible for CH election. In fact, we adopt three principle criteria: the remaining energy of node, the number of neighbors within cluster range and the distance between node and CH. Simulation results show that our proposed approach beats LEACH protocol in regards of prolonging the lifetime of network and saving residual energy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensors%20networks" title="wireless sensors networks">wireless sensors networks</a>, <a href="https://publications.waset.org/abstracts/search?q=LEACH%20protocol" title=" LEACH protocol"> LEACH protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20head%20election" title=" cluster head election"> cluster head election</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20efficiency" title=" energy efficiency"> energy efficiency</a> </p> <a href="https://publications.waset.org/abstracts/68326/optimized-cluster-head-selection-algorithm-based-on-leach-protocol-for-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68326.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">329</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">5652</span> Simulation Approach for a Comparison of Linked Cluster Algorithm and Clusterhead Size Algorithm in Ad Hoc Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ameen%20Jameel%20Alawneh">Ameen Jameel Alawneh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A Mobile ad-hoc network (MANET) is a collection of wireless mobile hosts that dynamically form a temporary network without the aid of a system administrator. It has neither fixed infrastructure nor wireless ad hoc sessions. It inherently reaches several nodes with a single transmission, and each node functions as both a host and a router. The network maybe represented as a set of clusters each managed by clusterhead. The cluster size is not fixed and it depends on the movement of nodes. We proposed a clusterhead size algorithm (CHSize). This clustering algorithm can be used by several routing algorithms for ad hoc networks. An elected clusterhead is assigned for communication with all other clusters. Analysis and simulation of the algorithm has been implemented using GloMoSim networks simulator, MATLAB and MAPL11 proved that the proposed algorithm achieves the goals. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=simulation" title="simulation">simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=MANET" title=" MANET"> MANET</a>, <a href="https://publications.waset.org/abstracts/search?q=Ad-hoc" title=" Ad-hoc"> Ad-hoc</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20head%20size" title=" cluster head size"> cluster head size</a>, <a href="https://publications.waset.org/abstracts/search?q=linked%20cluster%20algorithm" title=" linked cluster algorithm"> linked cluster algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=loss%20and%20dropped%20packets" title=" loss and dropped packets"> loss and dropped packets</a> </p> <a href="https://publications.waset.org/abstracts/41610/simulation-approach-for-a-comparison-of-linked-cluster-algorithm-and-clusterhead-size-algorithm-in-ad-hoc-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/41610.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">391</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">5651</span> The Influence of Microsilica on the Cluster Cracks' Geometry of Cement Paste</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maciej%20Szel%C4%85g">Maciej Szeląg</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The changing nature of environmental impacts, in which cement composites are operating, are causing in the structure of the material a number of phenomena, which result in volume deformation of the composite. These strains can cause composite cracking. Cracks are merging by propagation or intersect to form a characteristic structure of cracks known as the cluster cracks. This characteristic mesh of cracks is crucial to almost all building materials, which are working in service loads conditions. Particularly dangerous for a cement matrix is a sudden load of elevated temperature – the thermal shock. Resulting in a relatively short period of time a large value of a temperature gradient between the outer surface and the material’s interior can result in cracks formation on the surface and in the volume of the material. In the paper, in order to analyze the geometry of the cluster cracks of the cement pastes, the image analysis tools were used. Tested were 4 series of specimens made of two different Portland cement. In addition, two series include microsilica as a substitute for the 10% of the cement. Within each series, specimens were performed in three w/b indicators (water/binder): 0.4; 0.5; 0.6. The cluster cracks were created by sudden loading the samples by elevated temperature of 250°C. Images of the cracked surfaces were obtained via scanning at 2400 DPI. Digital processing and measurements were performed using ImageJ v. 1.46r software. To describe the structure of the cluster cracks three stereological parameters were proposed: the average cluster area - A ̅, the average length of cluster perimeter - L ̅, and the average opening width of a crack between clusters - I ̅. The aim of the study was to identify and evaluate the relationships between measured stereological parameters, and the compressive strength and the bulk density of the modified cement pastes. The tests of the mechanical and physical feature have been carried out in accordance with EN standards. The curves describing the relationships have been developed using the least squares method, and the quality of the curve fitting to the empirical data was evaluated using three diagnostic statistics: the coefficient of determination – R2, the standard error of estimation - Se, and the coefficient of random variation – W. The use of image analysis allowed for a quantitative description of the cluster cracks’ geometry. Based on the obtained results, it was found a strong correlation between the A ̅ and L ̅ – reflecting the fractal nature of the cluster cracks formation process. It was noted that the compressive strength and the bulk density of cement pastes decrease with an increase in the values of the stereological parameters. It was also found that the main factors, which impact on the cluster cracks’ geometry are the cement particles’ size and the general content of the binder in a volume of the material. The microsilica caused the reduction in the A ̅, L ̅ and I ̅ values compared to the values obtained by the classical cement paste’s samples, which is caused by the pozzolanic properties of the microsilica. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cement%20paste" title="cement paste">cement paste</a>, <a href="https://publications.waset.org/abstracts/search?q=cluster%20cracks" title=" cluster cracks"> cluster cracks</a>, <a href="https://publications.waset.org/abstracts/search?q=elevated%20temperature" title=" elevated temperature"> elevated temperature</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20analysis" title=" image analysis"> image analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=microsilica" title=" microsilica"> microsilica</a>, <a href="https://publications.waset.org/abstracts/search?q=stereological%20parameters" title=" stereological parameters"> stereological parameters</a> </p> <a href="https://publications.waset.org/abstracts/59183/the-influence-of-microsilica-on-the-cluster-cracks-geometry-of-cement-paste" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59183.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">246</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">5650</span> Scientific Linux Cluster for BIG-DATA Analysis (SLBD): A Case of Fayoum University</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hassan%20S.%20Hussein">Hassan S. Hussein</a>, <a href="https://publications.waset.org/abstracts/search?q=Rania%20A.%20Abul%20Seoud"> Rania A. Abul Seoud</a>, <a href="https://publications.waset.org/abstracts/search?q=Amr%20M.%20Refaat"> Amr M. Refaat</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Scientific researchers face in the analysis of very large data sets that is increasing noticeable rate in today’s and tomorrow’s technologies. Hadoop and Spark are types of software that developed frameworks. Hadoop framework is suitable for many Different hardware platforms. In this research, a scientific Linux cluster for Big Data analysis (SLBD) is presented. SLBD runs open source software with large computational capacity and high performance cluster infrastructure. SLBD composed of one cluster contains identical, commodity-grade computers interconnected via a small LAN. SLBD consists of a fast switch and Gigabit-Ethernet card which connect four (nodes). Cloudera Manager is used to configure and manage an Apache Hadoop stack. Hadoop is a framework allows storing and processing big data across the cluster by using MapReduce algorithm. MapReduce algorithm divides the task into smaller tasks which to be assigned to the network nodes. Algorithm then collects the results and form the final result dataset. SLBD clustering system allows fast and efficient processing of large amount of data resulting from different applications. SLBD also provides high performance, high throughput, high availability, expandability and cluster scalability. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=big%20data%20platforms" title="big data platforms">big data platforms</a>, <a href="https://publications.waset.org/abstracts/search?q=cloudera%20manager" title=" cloudera manager"> cloudera manager</a>, <a href="https://publications.waset.org/abstracts/search?q=Hadoop" title=" Hadoop"> Hadoop</a>, <a href="https://publications.waset.org/abstracts/search?q=MapReduce" title=" MapReduce"> MapReduce</a> </p> <a href="https://publications.waset.org/abstracts/40811/scientific-linux-cluster-for-big-data-analysis-slbd-a-case-of-fayoum-university" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40811.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 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