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Search results for: handoff
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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="handoff"> <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> 9</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: handoff</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">9</span> Proactive Pure Handoff Model with SAW-TOPSIS Selection and Time Series Predict</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Harold%20V%C3%A1squez">Harold V谩squez</a>, <a href="https://publications.waset.org/abstracts/search?q=Cesar%20Hern%C3%A1ndez"> Cesar Hern谩ndez</a>, <a href="https://publications.waset.org/abstracts/search?q=Ingrid%20P%C3%A1ez"> Ingrid P谩ez </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper approach cognitive radio technic and applied pure proactive handoff Model to decrease interference between PU and SU and comparing it with reactive handoff model. Through the study and analysis of multivariate models SAW and TOPSIS join to 3 dynamic prediction techniques AR, MA ,and ARMA. To evaluate the best model is taken four metrics: number failed handoff, number handoff, number predictions, and number interference. The result presented the advantages using this type of pure proactive models to predict changes in the PU according to the selected channel and reduce interference. The model showed better performance was TOPSIS-MA, although TOPSIS-AR had a higher predictive ability this was not reflected in the interference reduction. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title="cognitive radio">cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20handoff" title=" spectrum handoff"> spectrum handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20series" title=" time series"> time series</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20networks" title=" wireless networks"> wireless networks</a> </p> <a href="https://publications.waset.org/abstracts/33216/proactive-pure-handoff-model-with-saw-topsis-selection-and-time-series-predict" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33216.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">487</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">8</span> Congestion Control in Mobile Network by Prioritizing Handoff Calls</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O.%20A.%20Lawal">O. A. Lawal</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20A%20Ojesanmi"> O. A Ojesanmi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The demand for wireless cellular services continues to increase while the radio resources remain limited. Thus, network operators have to continuously manage the scarce radio resources in order to have an improved quality of service for mobile users. This paper proposes how to handle the problem of congestion in the mobile network by prioritizing handoff call, using the guard channel allocation scheme. The research uses specific threshold value for the time of allocation of the channel in the algorithm. The scheme would be simulated by generating various data for different traffics in the network as it would be in the real life. The result would be used to determine the probability of handoff call dropping and the probability of the new call blocking as a way of measuring the network performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=call%20block" title="call block">call block</a>, <a href="https://publications.waset.org/abstracts/search?q=channel" title=" channel"> channel</a>, <a href="https://publications.waset.org/abstracts/search?q=handoff" title=" handoff"> handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20cellular%20network" title=" mobile cellular network"> mobile cellular network</a> </p> <a href="https://publications.waset.org/abstracts/36795/congestion-control-in-mobile-network-by-prioritizing-handoff-calls" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36795.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">394</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">7</span> Study of the Vertical Handoff in Heterogeneous Networks and Implement Based on Opnet</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wafa%20Benaatou">Wafa Benaatou</a>, <a href="https://publications.waset.org/abstracts/search?q=Adnane%20Latif"> Adnane Latif </a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this document we studied more in detail the Performances of the vertical handover in the networks WLAN, WiMAX, UMTS before studying of it the Procedure of Handoff Vertical, the whole buckled by simulations putting forward the performances of the handover in the heterogeneous networks. The goal of Vertical Handover is to carry out several accesses in real-time in the heterogeneous networks. This makes it possible a user to use several networks (such as WLAN UMTS and WiMAX) in parallel, and the system to commutate automatically at another basic station, without disconnecting itself, as if there were no cut and with little loss of data as possible. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=vertical%20handoff" title="vertical handoff">vertical handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=WLAN" title=" WLAN"> WLAN</a>, <a href="https://publications.waset.org/abstracts/search?q=UMTS" title=" UMTS"> UMTS</a>, <a href="https://publications.waset.org/abstracts/search?q=WIMAX" title=" WIMAX"> WIMAX</a>, <a href="https://publications.waset.org/abstracts/search?q=heterogeneous" title=" heterogeneous"> heterogeneous</a> </p> <a href="https://publications.waset.org/abstracts/12140/study-of-the-vertical-handoff-in-heterogeneous-networks-and-implement-based-on-opnet" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12140.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">394</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">6</span> MCDM Spectrum Handover Models for Cognitive Wireless Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cesar%20Hern%C3%A1ndez">Cesar Hern谩ndez</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20Giral"> Diego Giral</a>, <a href="https://publications.waset.org/abstracts/search?q=Fernando%20Santa"> Fernando Santa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The spectral handoff is important in cognitive wireless networks to ensure an adequate quality of service and performance for secondary user communications. This work proposes a benchmarking of performance of the three spectrum handoff models: VIKOR, SAW and MEW. Four evaluation metrics are used. These metrics are, accumulative average of failed handoffs, accumulative average of handoffs performed, accumulative average of transmission bandwidth and, accumulative average of the transmission delay. As a difference with related work, the performance of the three spectrum handoff models was validated with captured data of spectral occupancy in experiments realized at the GSM frequency band (824 MHz-849 MHz). These data represent the actual behavior of the licensed users for this wireless frequency band. The results of the comparative show that VIKOR Algorithm provides 15.8% performance improvement compared to a SAW Algorithm and, 12.1% better than the MEW Algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title="cognitive radio">cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=MEW" title=" MEW"> MEW</a>, <a href="https://publications.waset.org/abstracts/search?q=SAW" title=" SAW"> SAW</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20handoff" title=" spectrum handoff"> spectrum handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=VIKOR" title=" VIKOR"> VIKOR</a> </p> <a href="https://publications.waset.org/abstracts/33174/mcdm-spectrum-handover-models-for-cognitive-wireless-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/33174.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">437</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">5</span> Fast Authentication Using User Path Prediction in Wireless Broadband Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gunasekaran%20Raja">Gunasekaran Raja</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajakumar%20Arul"> Rajakumar Arul</a>, <a href="https://publications.waset.org/abstracts/search?q=Kottilingam%20Kottursamy"> Kottilingam Kottursamy</a>, <a href="https://publications.waset.org/abstracts/search?q=Ramkumar%20Jayaraman"> Ramkumar Jayaraman</a>, <a href="https://publications.waset.org/abstracts/search?q=Sathya%20Pavithra"> Sathya Pavithra</a>, <a href="https://publications.waset.org/abstracts/search?q=Swaminathan%20Venkatraman"> Swaminathan Venkatraman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless Interoperability for Microwave Access (WiMAX) utilizes the IEEE 802.1X mechanism for authentication. However, this mechanism incurs considerable delay during handoffs. This delay during handoffs results in service disruption which becomes a severe bottleneck. To overcome this delay, our article proposes a key caching mechanism based on user path prediction. If the user mobility follows that path, the user bypasses the normal IEEE 802.1X mechanism and establishes the necessary authentication keys directly. Through analytical and simulation modeling, we have proved that our mechanism effectively decreases the handoff delay thereby achieving fast authentication. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=authentication" title="authentication">authentication</a>, <a href="https://publications.waset.org/abstracts/search?q=authorization" title=" authorization"> authorization</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20accounting%20%28AAA%29" title=" and accounting (AAA)"> and accounting (AAA)</a>, <a href="https://publications.waset.org/abstracts/search?q=handoff" title=" handoff"> handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile" title=" mobile"> mobile</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20path%20prediction%20%28UPP%29%20and%20user%20pattern" title=" user path prediction (UPP) and user pattern"> user path prediction (UPP) and user pattern</a> </p> <a href="https://publications.waset.org/abstracts/48859/fast-authentication-using-user-path-prediction-in-wireless-broadband-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48859.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">405</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Peak Data Rate Enhancement Using Switched Micro-Macro Diversity in Cellular Multiple-Input-Multiple-Output Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jihad%20S.%20Daba">Jihad S. Daba</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20P.%20Dubois"> J. P. Dubois</a>, <a href="https://publications.waset.org/abstracts/search?q=Yvette%20Antar"> Yvette Antar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the exponential growth of cellular users, a new generation of cellular networks is needed to enhance the required peak data rates. The co-channel interference between neighboring base stations inhibits peak data rate increase. To overcome this interference, multi-cell cooperation known as coordinated multipoint transmission is proposed. Such a solution makes use of multiple-input-multiple-output (MIMO) systems under two different structures: Micro- and macro-diversity. In this paper, we study the capacity and bit error rate in cellular networks using MIMO technology. We analyse both micro- and macro-diversity schemes and develop a hybrid model that switches between macro- and micro-diversity in the case of hard handoff based on a cut-off range of signal-to-noise ratio values. We conclude that our hybrid switched micro-macro MIMO system outperforms classical MIMO systems at the cost of increased hardware and software complexity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cooperative%20multipoint%20transmission" title="cooperative multipoint transmission">cooperative multipoint transmission</a>, <a href="https://publications.waset.org/abstracts/search?q=ergodic%20capacity" title=" ergodic capacity"> ergodic capacity</a>, <a href="https://publications.waset.org/abstracts/search?q=hard%20handoff" title=" hard handoff"> hard handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=macro-diversity" title=" macro-diversity"> macro-diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=micro-diversity" title=" micro-diversity"> micro-diversity</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple-input-multiple%20output%20systems" title=" multiple-input-multiple output systems"> multiple-input-multiple output systems</a>, <a href="https://publications.waset.org/abstracts/search?q=orthogonal%20frequency%20division%20multiplexing" title=" orthogonal frequency division multiplexing"> orthogonal frequency division multiplexing</a> </p> <a href="https://publications.waset.org/abstracts/64999/peak-data-rate-enhancement-using-switched-micro-macro-diversity-in-cellular-multiple-input-multiple-output-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64999.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">3</span> Femtocell Stationed Flawless Handover in High Agility Trains</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Dhivya">S. Dhivya</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Abirami"> M. Abirami</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Farjana%20Parveen"> M. Farjana Parveen</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Keerthiga"> M. Keerthiga</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The development of high-speed railway makes people鈥檚 lives more and more convenient; meanwhile, handover is the major problem on high-speed railway communication services. In order to overcome that drawback the architecture of Long-Term Evolution (LTE) femtocell networks is used to improve network performance, and the deployment of a femtocell is a key for bandwidth limitation and coverage issues in conventional mobile network system. To increase the handover performance this paper proposed a multiple input multiple output (MIMO) assisted handoff (MAHO) algorithm. It is a technique used in mobile telecom to transfer a mobile phone to a new radio channel with stronger signal strength and improved channel quality. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flawless%20handover" title="flawless handover">flawless handover</a>, <a href="https://publications.waset.org/abstracts/search?q=high-speed%20train" title=" high-speed train"> high-speed train</a>, <a href="https://publications.waset.org/abstracts/search?q=home%20evolved%20Node%20B" title=" home evolved Node B"> home evolved Node B</a>, <a href="https://publications.waset.org/abstracts/search?q=LTE" title=" LTE"> LTE</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20femtocell" title=" mobile femtocell"> mobile femtocell</a>, <a href="https://publications.waset.org/abstracts/search?q=RSS" title=" RSS"> RSS</a> </p> <a href="https://publications.waset.org/abstracts/30108/femtocell-stationed-flawless-handover-in-high-agility-trains" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30108.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">2</span> Hybrid Algorithm for Frequency Channel Selection in Wi-Fi Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cesar%20Hern%C3%A1ndez">Cesar Hern谩ndez</a>, <a href="https://publications.waset.org/abstracts/search?q=Diego%20Giral"> Diego Giral</a>, <a href="https://publications.waset.org/abstracts/search?q=Ingrid%20P%C3%A1ez"> Ingrid P谩ez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This article proposes a hybrid algorithm for spectrum allocation in cognitive radio networks based on the algorithms Analytical Hierarchical Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to improve the performance of the spectrum mobility of secondary users in cognitive radio networks. To calculate the level of performance of the proposed algorithm a comparative analysis between the proposed AHP-TOPSIS, Grey Relational Analysis (GRA) and Multiplicative Exponent Weighting (MEW) algorithm is performed. Four evaluation metrics is used. These metrics are the accumulative average of failed handoffs, the accumulative average of handoffs performed, the accumulative average of transmission bandwidth, and the accumulative average of the transmission delay. The results of the comparison show that AHP-TOPSIS Algorithm provides 2.4 times better performance compared to a GRA Algorithm and, 1.5 times better than the MEW Algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cognitive%20radio" title="cognitive radio">cognitive radio</a>, <a href="https://publications.waset.org/abstracts/search?q=decision%20making" title=" decision making"> decision making</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20algorithm" title=" hybrid algorithm"> hybrid algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=spectrum%20handoff" title=" spectrum handoff"> spectrum handoff</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20networks" title=" wireless networks"> wireless networks</a> </p> <a href="https://publications.waset.org/abstracts/34830/hybrid-algorithm-for-frequency-channel-selection-in-wi-fi-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34830.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">541</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">1</span> Using LTE-Sim in New Hanover Decision Algorithm for 2-Tier Macrocell-Femtocell LTE Network </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Umar%20D.%20M.">Umar D. M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Aminu%20A.%20M."> Aminu A. M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Izaddeen%20K.%20Y."> Izaddeen K. Y.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Deployments of mini macrocell base stations also referred to as femtocells, improve the quality of service of indoor and outdoor users. Nevertheless, mobility management remains a key issue with regards to their deployment. This paper is leaned towards this issue, with an in-depth focus on the most important aspect of mobility management -handover. In handover management, making a handover decision in the LTE two-tier macrocell femtocell network is a crucial research area. Decision algorithms in this research are classified and comparatively analyzed according to received signal strength, user equipment speed, cost function, and interference. However, it was observed that most of the discussed decision algorithms fail to consider cell selection with hybrid access policy in a single macrocell multiple femtocell scenario, another observation was a majority of these algorithms lack the incorporation of user equipment residence parameter. Not including this parameter boosts the number of unnecessary handover occurrence. To deal with these issues, a sophisticated handover decision algorithm is proposed. The proposed algorithm considers the user鈥檚 velocity, received signal strength, residence time, as well as the femtocell base station鈥檚 access policy. Simulation results have shown that the proposed algorithm reduces the number of unnecessary handovers when compared to conventional received signal strength-based handover decision algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=user-equipment" title="user-equipment">user-equipment</a>, <a href="https://publications.waset.org/abstracts/search?q=radio%20signal%20service" title=" radio signal service"> radio signal service</a>, <a href="https://publications.waset.org/abstracts/search?q=long%20term%20evolution" title=" long term evolution"> long term evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=mobility%20management" title=" mobility management"> mobility management</a>, <a href="https://publications.waset.org/abstracts/search?q=handoff" title=" handoff"> handoff</a> </p> <a href="https://publications.waset.org/abstracts/120381/using-lte-sim-in-new-hanover-decision-algorithm-for-2-tier-macrocell-femtocell-lte-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120381.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">125</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> 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