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constraint</title> <meta name="description" content="Search results for: constraint"> <meta name="keywords" content="constraint"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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style="font-size:.9rem"><span class="badge badge-info">410</span> A Survey on Constraint Solving Approaches Using Parallel Architectures</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nebras%20Gharbi">Nebras Gharbi</a>, <a href="https://publications.waset.org/abstracts/search?q=Itebeddine%20Ghorbel"> Itebeddine Ghorbel</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the latest years and with the advancements of the multicore computing world, the constraint programming community tried to benefit from the capacity of new machines and make the best use of them through several parallel schemes for constraint solving. In this paper, we propose a survey of the different proposed approaches to solve Constraint Satisfaction Problems using parallel architectures. These approaches use in a different way a parallel architecture: the problem itself could be solved differently by several solvers or could be split over solvers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20programming" title=" parallel programming"> parallel programming</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint%20satisfaction%20problem" title=" constraint satisfaction problem"> constraint satisfaction problem</a>, <a href="https://publications.waset.org/abstracts/search?q=speed-up" title=" speed-up"> speed-up</a> </p> <a href="https://publications.waset.org/abstracts/50394/a-survey-on-constraint-solving-approaches-using-parallel-architectures" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50394.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">319</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">409</span> Resource Constrained Time-Cost Trade-Off Analysis in Construction Project Planning and Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sangwon%20Han">Sangwon Han</a>, <a href="https://publications.waset.org/abstracts/search?q=Chengquan%20Jin"> Chengquan Jin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Time-cost trade-off (TCTO) is one of the most significant part of construction project management. Despite the significance, current TCTO analysis, based on the Critical Path Method, does not consider resource constraint, and accordingly sometimes generates an impractical and/or infeasible schedule planning in terms of resource availability. Therefore, resource constraint needs to be considered when doing TCTO analysis. In this research, genetic algorithms (GA) based optimization model is created in order to find the optimal schedule. This model is utilized to compare four distinct scenarios (i.e., 1) initial CPM, 2) TCTO without considering resource constraint, 3) resource allocation after TCTO, and 4) TCTO with considering resource constraint) in terms of duration, cost, and resource utilization. The comparison results identify that ‘TCTO with considering resource constraint’ generates the optimal schedule with the respect of duration, cost, and resource. This verifies the need for consideration of resource constraint when doing TCTO analysis. It is expected that the proposed model will produce more feasible and optimal schedule. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=time-cost%20trade-off" title="time-cost trade-off">time-cost trade-off</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithms" title=" genetic algorithms"> genetic algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=critical%20path" title=" critical path"> critical path</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20availability" title=" resource availability"> resource availability</a> </p> <a href="https://publications.waset.org/abstracts/91630/resource-constrained-time-cost-trade-off-analysis-in-construction-project-planning-and-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91630.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">186</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">408</span> Bi-Directional Evolutionary Topology Optimization Based on Critical Fatigue Constraint </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Khodamorad%20Nabaki">Khodamorad Nabaki</a>, <a href="https://publications.waset.org/abstracts/search?q=Jianhu%20Shen"> Jianhu Shen</a>, <a href="https://publications.waset.org/abstracts/search?q=Xiaodong%20Huang"> Xiaodong Huang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper develops a method for considering the critical fatigue stress as a constraint in the Bi-directional Evolutionary Structural Optimization (BESO) method. Our aim is to reach an optimal design in which high cycle fatigue failure does not occur for a specific life time. The critical fatigue stress is calculated based on modified Goodman criteria and used as a stress constraint in our topology optimization problem. Since fatigue generally does not occur for compressive stresses, we use the p-norm approach of the stress measurement that considers the highest tensile principal stress in each point as stress measure to calculate the sensitivity numbers. The BESO method has been extended to minimize volume an object subjected to the critical fatigue stress constraint. The optimization results are compared with the results from the compliance minimization problem which shows clearly the merits of our newly developed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=topology%20optimization" title="topology optimization">topology optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=BESO%20method" title=" BESO method"> BESO method</a>, <a href="https://publications.waset.org/abstracts/search?q=p-norm" title=" p-norm"> p-norm</a>, <a href="https://publications.waset.org/abstracts/search?q=fatigue%20constraint" title=" fatigue constraint"> fatigue constraint</a> </p> <a href="https://publications.waset.org/abstracts/78086/bi-directional-evolutionary-topology-optimization-based-on-critical-fatigue-constraint" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78086.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">295</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">407</span> The Rupture Potential of Nerve Tissue Constrained Intracranial Saccular Aneurysm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20Alam">M. Alam</a>, <a href="https://publications.waset.org/abstracts/search?q=P.%20Seshaiyer"> P. Seshaiyer</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The rupture predictability of intracranial aneurysm is one of the most important parameters for physicians in surgical treatment. As most of the intracranial aneurysms are asymptomatic, still the rupture potential of both symptomatic and asymptomatic lesions is relatively unknown. Moreover, an intracranial aneurysm constrained by a nerve tissue might be a common scenario for a physician to deal with during the treatment process. Here, we perform a computational modeling of nerve tissue constrained intracranial saccular aneurysm to show a protective role of constrained tissue on the aneurysm. A comparative parametric study of the model also performs taking long constraint, medium constraint, short constraint, point contact, narrow neck aneurysm, wide neck aneurysm as parameters for the analysis. Results show that contact constraint aneurysm generates less stress near the fundus compared to no constraint aneurysm, hence works as a protective wall for the aneurysm not to be ruptured. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=rupture%20potential" title="rupture potential">rupture potential</a>, <a href="https://publications.waset.org/abstracts/search?q=intracranial%20saccular%20aneurysm" title=" intracranial saccular aneurysm"> intracranial saccular aneurysm</a>, <a href="https://publications.waset.org/abstracts/search?q=anisotropic%20hyper-elastic%20material" title=" anisotropic hyper-elastic material"> anisotropic hyper-elastic material</a>, <a href="https://publications.waset.org/abstracts/search?q=finite%20element%20analysis" title=" finite element analysis"> finite element analysis</a> </p> <a href="https://publications.waset.org/abstracts/82839/the-rupture-potential-of-nerve-tissue-constrained-intracranial-saccular-aneurysm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/82839.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">211</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">406</span> A Genetic Algorithm Approach for Multi Constraint Team Orienteering Problem with Time Windows </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Uyanga%20Sukhbaatar">Uyanga Sukhbaatar</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Lbath"> Ahmed Lbath</a>, <a href="https://publications.waset.org/abstracts/search?q=Mendamar%20Majig"> Mendamar Majig</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Orienteering Problem is the most known example to start modeling tourist trip design problem. In order to meet tourist’s interest and constraint the OP is becoming more and more complicate to solve. The Multi Constraint Team Orienteering Problem with Time Windows is the last extension of the OP which differentiates from other extensions by including more extra associated constraints. The goal of the MCTOPTW is maximizing tourist’s satisfaction score in same time not to violate any of these constraints. This paper presents a genetic algorithmic approach to tackle the MCTOPTW. The benchmark data from literature is tested by our algorithm and the performance results are compared. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multi%20constraint%20team%20orienteering%20problem%20with%20time%20windows" title="multi constraint team orienteering problem with time windows">multi constraint team orienteering problem with time windows</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=tour%20planning%20system" title=" tour planning system"> tour planning system</a> </p> <a href="https://publications.waset.org/abstracts/29951/a-genetic-algorithm-approach-for-multi-constraint-team-orienteering-problem-with-time-windows" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/29951.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">626</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">405</span> Exhaustive Study of Essential Constraint Satisfaction Problem Techniques Based on N-Queens Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md.%20Ahsan%20Ayub">Md. Ahsan Ayub</a>, <a href="https://publications.waset.org/abstracts/search?q=Kazi%20A.%20Kalpoma"> Kazi A. Kalpoma</a>, <a href="https://publications.waset.org/abstracts/search?q=Humaira%20Tasnim%20Proma"> Humaira Tasnim Proma</a>, <a href="https://publications.waset.org/abstracts/search?q=Syed%20Mehrab%20Kabir"> Syed Mehrab Kabir</a>, <a href="https://publications.waset.org/abstracts/search?q=Rakib%20Ibna%20Hamid%20Chowdhury"> Rakib Ibna Hamid Chowdhury</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Constraint Satisfaction Problem (CSP) is observed in various applications, i.e., scheduling problems, timetabling problems, assignment problems, etc. Researchers adopt a CSP technique to tackle a certain problem; however, each technique follows different approaches and ways to solve a problem network. In our exhaustive study, it has been possible to visualize the processes of essential CSP algorithms from a very concrete constraint satisfaction example, NQueens Problem, in order to possess a deep understanding about how a particular constraint satisfaction problem will be dealt with by our studied and implemented techniques. Besides, benchmark results - time vs. value of N in N-Queens - have been generated from our implemented approaches, which help understand at what factor each algorithm produces solutions; especially, in N-Queens puzzle. Thus, extended decisions can be made to instantiate a real life problem within CSP’s framework. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arc%20consistency%20%28AC%29" title="arc consistency (AC)">arc consistency (AC)</a>, <a href="https://publications.waset.org/abstracts/search?q=backjumping%20algorithm%20%28BJ%29" title=" backjumping algorithm (BJ)"> backjumping algorithm (BJ)</a>, <a href="https://publications.waset.org/abstracts/search?q=backtracking%20algorithm%20%28BT%29" title=" backtracking algorithm (BT)"> backtracking algorithm (BT)</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint%20satisfaction%20problem%20%28CSP%29" title=" constraint satisfaction problem (CSP)"> constraint satisfaction problem (CSP)</a>, <a href="https://publications.waset.org/abstracts/search?q=forward%20checking%20%28FC%29" title=" forward checking (FC)"> forward checking (FC)</a>, <a href="https://publications.waset.org/abstracts/search?q=least%20constrained%20values%20%28LCV%29" title=" least constrained values (LCV)"> least constrained values (LCV)</a>, <a href="https://publications.waset.org/abstracts/search?q=maintaining%20arc%20consistency%20%28MAC%29" title=" maintaining arc consistency (MAC)"> maintaining arc consistency (MAC)</a>, <a href="https://publications.waset.org/abstracts/search?q=minimum%20remaining%20values%20%28MRV%29" title=" minimum remaining values (MRV)"> minimum remaining values (MRV)</a>, <a href="https://publications.waset.org/abstracts/search?q=N-Queens%20problem" title=" N-Queens problem"> N-Queens problem</a> </p> <a href="https://publications.waset.org/abstracts/69933/exhaustive-study-of-essential-constraint-satisfaction-problem-techniques-based-on-n-queens-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69933.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">364</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">404</span> Hydraulic Resources Management under Imperfect Competition with Thermal Plants in the Wholesale Electricity Market</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdessalem%20Abbassi">Abdessalem Abbassi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahlem%20Dakhlaoui"> Ahlem Dakhlaoui</a>, <a href="https://publications.waset.org/abstracts/search?q=Lota%20D.%20Tamini"> Lota D. Tamini</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we analyze infinite discrete-time games between hydraulic and thermal power operators in the wholesale electricity market under Cournot competition. We consider a deregulated electrical industry where certain demand is satisfied by hydraulic and thermal technologies. The hydraulic operator decides the production in each season of each period that maximizes the sum of expected profits from power generation with respect to the stochastic dynamic constraint on the water stored in the dam, the environmental constraint and the non-negative output constraint. In contrast, the thermal plant is operated with quadratic cost function, with respect to the capacity production constraint and the non-negativity output constraint. We show that under imperfect competition, the hydraulic operator has a strategic storage of water in the peak season. Then, we quantify the strategic inter-annual and intra-annual water transfer and compare the numerical results. Finally, we show that the thermal operator can restrict the hydraulic output without compensation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=asymmetric%20risk%20aversion" title="asymmetric risk aversion">asymmetric risk aversion</a>, <a href="https://publications.waset.org/abstracts/search?q=electricity%20wholesale%20market" title=" electricity wholesale market"> electricity wholesale market</a>, <a href="https://publications.waset.org/abstracts/search?q=hydropower%20dams" title=" hydropower dams"> hydropower dams</a>, <a href="https://publications.waset.org/abstracts/search?q=imperfect%20competition" title=" imperfect competition"> imperfect competition</a> </p> <a href="https://publications.waset.org/abstracts/38733/hydraulic-resources-management-under-imperfect-competition-with-thermal-plants-in-the-wholesale-electricity-market" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/38733.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">359</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">403</span> Share Pledging and Financial Constraints in China</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zijian%20Cheng">Zijian Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Frank%20Liu"> Frank Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Yupu%20Sun"> Yupu Sun</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The relationship between the intensity of share pledging activities and the level of financial constraint in publicly listed firms in China is examined in this paper. Empirical results show that the high financial constraint level may motivate insiders to use share pledging as an alternative funding source and an expropriation mechanism. Share collateralization can cause a subsequently more constrained financing condition. Evidence is found that share pledging made by the controlling shareholder is likely to mitigate financial constraints in the following year. Research findings are robust to alternative measures and an instrumental variable for dealing with endogeneity problems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=share%20pledge" title="share pledge">share pledge</a>, <a href="https://publications.waset.org/abstracts/search?q=financial%20constraint" title=" financial constraint"> financial constraint</a>, <a href="https://publications.waset.org/abstracts/search?q=controlling%20shareholder" title=" controlling shareholder"> controlling shareholder</a>, <a href="https://publications.waset.org/abstracts/search?q=dividend%20policy" title=" dividend policy"> dividend policy</a> </p> <a href="https://publications.waset.org/abstracts/128185/share-pledging-and-financial-constraints-in-china" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128185.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">165</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">402</span> Three-Stage Multivariate Stratified Sample Surveys with Probabilistic Cost Constraint and Random Variance </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sanam%20Haseen">Sanam Haseen</a>, <a href="https://publications.waset.org/abstracts/search?q=Abdul%20Bari"> Abdul Bari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper a three stage multivariate programming problem with random survey cost and variances as random variables has been formulated as a non-linear stochastic programming problem. The problem has been converted into an equivalent deterministic form using chance constraint programming and modified E-modeling. An empirical study of the problem has been done at the end of the paper using R-simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chance%20constraint%20programming" title="chance constraint programming">chance constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20E-model" title=" modified E-model"> modified E-model</a>, <a href="https://publications.waset.org/abstracts/search?q=stochastic%20programming" title=" stochastic programming"> stochastic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=stratified%20sample%20surveys" title=" stratified sample surveys"> stratified sample surveys</a>, <a href="https://publications.waset.org/abstracts/search?q=three%20stage%20sample%20surveys" title=" three stage sample surveys"> three stage sample surveys</a> </p> <a href="https://publications.waset.org/abstracts/14515/three-stage-multivariate-stratified-sample-surveys-with-probabilistic-cost-constraint-and-random-variance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14515.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">457</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">401</span> Quality-Of-Service-Aware Green Bandwidth Allocation in Ethernet Passive Optical Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Tzu-Yang%20Lin">Tzu-Yang Lin</a>, <a href="https://publications.waset.org/abstracts/search?q=Chuan-Ching%20Sue"> Chuan-Ching Sue </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sleep mechanisms are commonly used to ensure the energy efficiency of each optical network unit (ONU) that concerns a single class delay constraint in the Ethernet Passive Optical Network (EPON). How long the ONUs can sleep without violating the delay constraint has become a research problem. Particularly, we can derive an analytical model to determine the optimal sleep time of ONUs in every cycle without violating the maximum class delay constraint. The bandwidth allocation considering such optimal sleep time is called Green Bandwidth Allocation (GBA). Although the GBA mechanism guarantees that the different class delay constraints do not violate the maximum class delay constraint, packets with a more relaxed delay constraint will be treated as those with the most stringent delay constraint and may be sent early. This means that the ONU will waste energy in active mode to send packets in advance which did not need to be sent at the current time. Accordingly, we proposed a QoS-aware GBA using a novel intra-ONU scheduling to control the packets to be sent according to their respective delay constraints, thereby enhancing energy efficiency without deteriorating delay performance. If packets are not explicitly classified but with different packet delay constraints, we can modify the intra-ONU scheduling to classify packets according to their packet delay constraints rather than their classes. Moreover, we propose the switchable ONU architecture in which the ONU can switch the architecture according to the sleep time length, thus improving energy efficiency in the QoS-aware GBA. The simulation results show that the QoS-aware GBA ensures that packets in different classes or with different delay constraints do not violate their respective delay constraints and consume less power than the original GBA. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Passive%20Optical%20Networks" title="Passive Optical Networks">Passive Optical Networks</a>, <a href="https://publications.waset.org/abstracts/search?q=PONs" title=" PONs"> PONs</a>, <a href="https://publications.waset.org/abstracts/search?q=Optical%20Network%20Unit" title=" Optical Network Unit"> Optical Network Unit</a>, <a href="https://publications.waset.org/abstracts/search?q=ONU" title=" ONU"> ONU</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=delay%20constraint" title=" delay constraint"> delay constraint</a> </p> <a href="https://publications.waset.org/abstracts/94624/quality-of-service-aware-green-bandwidth-allocation-in-ethernet-passive-optical-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/94624.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">284</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">400</span> Constraint-Directed Techniques for Transport Scheduling with Capacity Restrictions of Automotive Manufacturing Components</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Martha%20Ndeley">Martha Ndeley</a>, <a href="https://publications.waset.org/abstracts/search?q=John%20Ikome"> John Ikome</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we expand the scope of constraint-directed techniques to deal with the case of transportation schedule with capacity restrictions where the scheduling problem includes alternative activities. That is, not only does the scheduling problem consist of determining when an activity is to be executed, but also determining which set of alternative activities is to be executed at all level of transportation from input to output. Such problems encompass both alternative resource problems and alternative process plan problems. We formulate a constraint-based representation of alternative activities to model problems containing such choices. We then extend existing constraint-directed scheduling heuristic commitment techniques and propagators to reason directly about the fact that an activity does not necessarily have to exist in a final transportation schedule without being completed. Tentative results show that an algorithm using a novel texture-based heuristic commitment technique propagators achieves the best overall performance of the techniques tested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=production" title="production">production</a>, <a href="https://publications.waset.org/abstracts/search?q=transportation" title=" transportation"> transportation</a>, <a href="https://publications.waset.org/abstracts/search?q=scheduling" title=" scheduling"> scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=integrated" title=" integrated"> integrated</a> </p> <a href="https://publications.waset.org/abstracts/50638/constraint-directed-techniques-for-transport-scheduling-with-capacity-restrictions-of-automotive-manufacturing-components" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50638.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">362</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">399</span> Size Reduction of Images Using Constraint Optimization Approach for Machine Communications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chee%20Sun%20Won">Chee Sun Won</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the size reduction of images for machine-to-machine communications. Here, the salient image regions to be preserved include the image patches of the key-points such as corners and blobs. Based on a saliency image map from the key-points and their image patches, an axis-aligned grid-size optimization is proposed for the reduction of image size. To increase the size-reduction efficiency the aspect ratio constraint is relaxed in the constraint optimization framework. The proposed method yields higher matching accuracy after the size reduction than the conventional content-aware image size-reduction methods. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=image%20compression" title="image compression">image compression</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20matching" title=" image matching"> image matching</a>, <a href="https://publications.waset.org/abstracts/search?q=key-point%20detection%20and%20description" title=" key-point detection and description"> key-point detection and description</a>, <a href="https://publications.waset.org/abstracts/search?q=machine-to-machine%20communication" title=" machine-to-machine communication"> machine-to-machine communication</a> </p> <a href="https://publications.waset.org/abstracts/67605/size-reduction-of-images-using-constraint-optimization-approach-for-machine-communications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67605.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">418</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">398</span> Extended Constraint Mask Based One-Bit Transform for Low-Complexity Fast Motion Estimation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=O%C4%9Fuzhan%20Urhan">Oğuzhan Urhan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, an improved motion estimation (ME) approach based on weighted constrained one-bit transform is proposed for block-based ME employed in video encoders. Binary ME approaches utilize low bit-depth representation of the original image frames with a Boolean exclusive-OR based hardware efficient matching criterion to decrease computational burden of the ME stage. Weighted constrained one-bit transform (WC‑1BT) based approach improves the performance of conventional C-1BT based ME employing 2-bit depth constraint mask instead of a 1-bit depth mask. In this work, the range of constraint mask is further extended to increase ME performance of WC-1BT approach. Experiments reveal that the proposed method provides better ME accuracy compared existing similar ME methods in the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fast%20motion%20estimation%3B%20low-complexity%20motion%20estimation" title="fast motion estimation; low-complexity motion estimation">fast motion estimation; low-complexity motion estimation</a>, <a href="https://publications.waset.org/abstracts/search?q=video%20coding" title=" video coding"> video coding</a> </p> <a href="https://publications.waset.org/abstracts/76760/extended-constraint-mask-based-one-bit-transform-for-low-complexity-fast-motion-estimation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76760.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">316</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">397</span> An Improved Genetic Algorithm for Traveling Salesman Problem with Precedence Constraint</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20F.%20Ab%20Rashid">M. F. F. Ab Rashid</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20N.%20Mohd%20Rose"> A. N. Mohd Rose</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20M.%20Z.%20Nik%20Mohamed"> N. M. Z. Nik Mohamed</a>, <a href="https://publications.waset.org/abstracts/search?q=W.%20S.%20Wan%20Harun"> W. S. Wan Harun</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20A.%20Che%20Ghani"> S. A. Che Ghani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Traveling salesman problem with precedence constraint (TSPPC) is one of the most complex problems in combinatorial optimization. The existing algorithms to solve TSPPC cost large computational time to find the optimal solution. The purpose of this paper is to present an efficient genetic algorithm that guarantees optimal solution with less number of generations and iterations time. Unlike the existing algorithm that generates priority factor as chromosome, the proposed algorithm directly generates sequence of solution as chromosome. As a result, the proposed algorithm is capable of generating optimal solution with smaller number of generations and iteration time compare to existing algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=traveling%20salesman%20problem" title="traveling salesman problem">traveling salesman problem</a>, <a href="https://publications.waset.org/abstracts/search?q=sequencing" title=" sequencing"> sequencing</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=precedence%20constraint" title=" precedence constraint"> precedence constraint</a> </p> <a href="https://publications.waset.org/abstracts/15486/an-improved-genetic-algorithm-for-traveling-salesman-problem-with-precedence-constraint" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15486.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">560</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">396</span> A Survey on Compression Methods for Table Constraints</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Gharbi">N. Gharbi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Constraint Satisfaction problems are mathematical problems that are often used to model many real-world problems for which we look if there exists a solution satisfying all its constraints. Table constraints are important for modeling parts of many problems since they list all combinations of allowed or forbidden values. However, they admit practical limitations because they are sometimes too large to be represented in a direct way. In this paper, we present a survey of the different categories of the proposed approaches to compress table constraints in order to reduce both space and time complexities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=compression" title=" compression"> compression</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=table%20constraints" title=" table constraints"> table constraints</a> </p> <a href="https://publications.waset.org/abstracts/49933/a-survey-on-compression-methods-for-table-constraints" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/49933.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">325</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">395</span> Reconstruction of Binary Matrices Satisfying Neighborhood Constraints by Simulated Annealing</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Divyesh%20Patel">Divyesh Patel</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanuja%20Srivastava"> Tanuja Srivastava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper considers the NP-hard problem of reconstructing binary matrices satisfying exactly-1-4-adjacency constraint from its row and column projections. This problem is formulated into a maximization problem. The objective function gives a measure of adjacency constraint for the binary matrices. The maximization problem is solved by the simulated annealing algorithm and experimental results are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=discrete%20tomography" title="discrete tomography">discrete tomography</a>, <a href="https://publications.waset.org/abstracts/search?q=exactly-1-4-adjacency" title=" exactly-1-4-adjacency"> exactly-1-4-adjacency</a>, <a href="https://publications.waset.org/abstracts/search?q=simulated%20annealing" title=" simulated annealing"> simulated annealing</a>, <a href="https://publications.waset.org/abstracts/search?q=binary%20matrices" title=" binary matrices"> binary matrices</a> </p> <a href="https://publications.waset.org/abstracts/8505/reconstruction-of-binary-matrices-satisfying-neighborhood-constraints-by-simulated-annealing" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8505.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">406</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">394</span> Optimal Cropping Pattern in an Irrigation Project: A Hybrid Model of Artificial Neural Network and Modified Simplex Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Safayat%20Ali%20Shaikh">Safayat Ali Shaikh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Software has been developed for optimal cropping pattern in an irrigation project considering land constraint, water availability constraint and pick up flow constraint using modified Simplex Algorithm. Artificial Neural Network Models (ANN) have been developed to predict rainfall. AR (1) model used to generate 1000 years rainfall data to train the ANN. Simulation has been done with expected rainfall data. Eight number crops and three types of soil class have been considered for optimization model. Area under each crop and each soil class have been quantified using Modified Simplex Algorithm to get optimum net return. Efficacy of the software has been tested using data of large irrigation project in India. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=artificial%20neural%20network" title="artificial neural network">artificial neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20irrigation%20project" title=" large irrigation project"> large irrigation project</a>, <a href="https://publications.waset.org/abstracts/search?q=modified%20simplex%20algorithm" title=" modified simplex algorithm"> modified simplex algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20cropping%20pattern" title=" optimal cropping pattern"> optimal cropping pattern</a> </p> <a href="https://publications.waset.org/abstracts/71956/optimal-cropping-pattern-in-an-irrigation-project-a-hybrid-model-of-artificial-neural-network-and-modified-simplex-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71956.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">203</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">393</span> Rating and Generating Sudoku Puzzles Based on Constraint Satisfaction Problems </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bahare%20Fatemi">Bahare Fatemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mehran%20Kazemi"> Seyed Mehran Kazemi</a>, <a href="https://publications.waset.org/abstracts/search?q=Nazanin%20Mehrasa"> Nazanin Mehrasa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Sudoku is a logic-based combinatorial puzzle game which people in different ages enjoy playing it. The challenging and addictive nature of this game has made it a ubiquitous game. Most magazines, newspapers, puzzle books, etc. publish lots of Sudoku puzzles every day. These puzzles often come in different levels of difficulty so that all people, from beginner to expert, can play the game and enjoy it. Generating puzzles with different levels of difficulty is a major concern of Sudoku designers. There are several works in the literature which propose ways of generating puzzles having a desirable level of difficulty. In this paper, we propose a method based on constraint satisfaction problems to evaluate the difficulty of the Sudoku puzzles. Then, we propose a hill climbing method to generate puzzles with different levels of difficulty. Whereas other methods are usually capable of generating puzzles with only few number of difficulty levels, our method can be used to generate puzzles with arbitrary number of different difficulty levels. We test our method by generating puzzles with different levels of difficulty and having a group of 15 people solve all the puzzles and recording the time they spend for each puzzle. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20satisfaction%20problem" title="constraint satisfaction problem">constraint satisfaction problem</a>, <a href="https://publications.waset.org/abstracts/search?q=generating%20Sudoku%20puzzles" title=" generating Sudoku puzzles"> generating Sudoku puzzles</a>, <a href="https://publications.waset.org/abstracts/search?q=hill%20climbing" title=" hill climbing"> hill climbing</a> </p> <a href="https://publications.waset.org/abstracts/8625/rating-and-generating-sudoku-puzzles-based-on-constraint-satisfaction-problems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8625.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">402</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">392</span> Verification of a Simple Model for Rolling Isolation System Response</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aarthi%20Sridhar">Aarthi Sridhar</a>, <a href="https://publications.waset.org/abstracts/search?q=Henri%20Gavin"> Henri Gavin</a>, <a href="https://publications.waset.org/abstracts/search?q=Karah%20Kelly"> Karah Kelly</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Rolling Isolation Systems (RISs) are simple and effective means to mitigate earthquake hazards to equipment in critical and precious facilities, such as hospitals, network collocation facilities, supercomputer centers, and museums. The RIS works by isolating components acceleration the inertial forces felt by the subsystem. The RIS consists of two platforms with counter-facing concave surfaces (dishes) in each corner. Steel balls lie inside the dishes and allow the relative motion between the top and bottom platform. Formerly, a mathematical model for the dynamics of RISs was developed using Lagrange’s equations (LE) and experimentally validated. A new mathematical model was developed using Gauss’s Principle of Least Constraint (GPLC) and verified by comparing impulse response trajectories of the GPLC model and the LE model in terms of the peak displacements and accelerations of the top platform. Mathematical models for the RIS are tedious to derive because of the non-holonomic rolling constraints imposed on the system. However, using Gauss’s Principle of Least constraint to find the equations of motion removes some of the obscurity and yields a system that can be easily extended. Though the GPLC model requires more state variables, the equations of motion are far simpler. The non-holonomic constraint is enforced in terms of accelerations and therefore requires additional constraint stabilization methods in order to avoid the possibility that numerical integration methods can cause the system to go unstable. The GPLC model allows the incorporation of more physical aspects related to the RIS, such as contribution of the vertical velocity of the platform to the kinetic energy and the mass of the balls. This mathematical model for the RIS is a tool to predict the motion of the isolation platform. The ability to statistically quantify the expected responses of the RIS is critical in the implementation of earthquake hazard mitigation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=earthquake%20hazard%20mitigation" title="earthquake hazard mitigation">earthquake hazard mitigation</a>, <a href="https://publications.waset.org/abstracts/search?q=earthquake%20isolation" title=" earthquake isolation"> earthquake isolation</a>, <a href="https://publications.waset.org/abstracts/search?q=Gauss%E2%80%99s%20Principle%20of%20Least%20Constraint" title=" Gauss’s Principle of Least Constraint"> Gauss’s Principle of Least Constraint</a>, <a href="https://publications.waset.org/abstracts/search?q=nonlinear%20dynamics" title=" nonlinear dynamics"> nonlinear dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=rolling%20isolation%20system" title=" rolling isolation system"> rolling isolation system</a> </p> <a href="https://publications.waset.org/abstracts/81063/verification-of-a-simple-model-for-rolling-isolation-system-response" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/81063.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">250</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">391</span> A Hybrid Model of Goal, Integer and Constraint Programming for Single Machine Scheduling Problem with Sequence Dependent Setup Times: A Case Study in Aerospace Industry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Didem%20Can">Didem Can</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Scheduling problems are one of the most fundamental issues of production systems. Many different approaches and models have been developed according to the production processes of the parts and the main purpose of the problem. In this study, one of the bottleneck stations of a company serving in the aerospace industry is analyzed and considered as a single machine scheduling problem with sequence-dependent setup times. The objective of the problem is assigning a large number of similar parts to the same shift -to reduce chemical waste- while minimizing the number of tardy jobs. The goal programming method will be used to achieve two different objectives simultaneously. The assignment of parts to the shift will be expressed using the integer programming method. Finally, the constraint programming method will be used as it provides a way to find a result in a short time by avoiding worse resulting feasible solutions with the defined variables set. The model to be established will be tested and evaluated with real data in the application part. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=goal%20programming" title=" goal programming"> goal programming</a>, <a href="https://publications.waset.org/abstracts/search?q=integer%20programming" title=" integer programming"> integer programming</a>, <a href="https://publications.waset.org/abstracts/search?q=sequence-dependent%20setup" title="sequence-dependent setup">sequence-dependent setup</a>, <a href="https://publications.waset.org/abstracts/search?q=single%20machine%20scheduling" title=" single machine scheduling"> single machine scheduling</a> </p> <a href="https://publications.waset.org/abstracts/144504/a-hybrid-model-of-goal-integer-and-constraint-programming-for-single-machine-scheduling-problem-with-sequence-dependent-setup-times-a-case-study-in-aerospace-industry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144504.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">237</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">390</span> Design of Visual Repository, Constraint and Process Modeling Tool Based on Eclipse Plug-Ins</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rushiraj%20Heshi">Rushiraj Heshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Smriti%20Bhandari"> Smriti Bhandari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Master Data Management requires creation of Central repository, applying constraints on Repository and designing processes to manage data. Designing of Repository, constraints on repository and business processes is very tedious and time consuming task for large Enterprise. Hence Visual Repository, constraints and Process (Workflow) modeling is the most critical step in Master Data Management.In this paper, we realize a Visual Modeling tool for implementing Repositories, Constraints and Processes based on Eclipse Plugin using GMF/EMF which follows principles of Model Driven Engineering (MDE). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=EMF" title="EMF">EMF</a>, <a href="https://publications.waset.org/abstracts/search?q=GMF" title=" GMF"> GMF</a>, <a href="https://publications.waset.org/abstracts/search?q=GEF" title=" GEF"> GEF</a>, <a href="https://publications.waset.org/abstracts/search?q=repository" title=" repository"> repository</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint" title=" constraint"> constraint</a>, <a href="https://publications.waset.org/abstracts/search?q=process" title=" process"> process</a> </p> <a href="https://publications.waset.org/abstracts/21745/design-of-visual-repository-constraint-and-process-modeling-tool-based-on-eclipse-plug-ins" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/21745.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">497</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">389</span> Model of Obstacle Avoidance on Hard Disk Drive Manufacturing with Distance Constraint </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rawinun%20Praserttaweelap">Rawinun Praserttaweelap</a>, <a href="https://publications.waset.org/abstracts/search?q=Somyot%20Kiatwanidvilai"> Somyot Kiatwanidvilai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Obstacle avoidance is the one key for the robot system in unknown environment. The robots should be able to know their position and safety region. This research starts on the path planning which are SLAM and AMCL in ROS system. In addition, the best parameters of the obstacle avoidance function are required. In situation on Hard Disk Drive Manufacturing, the distance between robots and obstacles are very serious due to the manufacturing constraint. The simulations are accomplished by the SLAM and AMCL with adaptive velocity and safety region calculation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=obstacle%20avoidance" title="obstacle avoidance">obstacle avoidance</a>, <a href="https://publications.waset.org/abstracts/search?q=OA" title=" OA"> OA</a>, <a href="https://publications.waset.org/abstracts/search?q=Simultaneous%20Localization%20and%20Mapping" title=" Simultaneous Localization and Mapping"> Simultaneous Localization and Mapping</a>, <a href="https://publications.waset.org/abstracts/search?q=SLAM" title=" SLAM"> SLAM</a>, <a href="https://publications.waset.org/abstracts/search?q=Adaptive%20Monte%20Carlo%20Localization" title=" Adaptive Monte Carlo Localization"> Adaptive Monte Carlo Localization</a>, <a href="https://publications.waset.org/abstracts/search?q=AMCL" title=" AMCL"> AMCL</a>, <a href="https://publications.waset.org/abstracts/search?q=KLD%20sampling" title=" KLD sampling"> KLD sampling</a>, <a href="https://publications.waset.org/abstracts/search?q=KLD" title=" KLD"> KLD</a> </p> <a href="https://publications.waset.org/abstracts/87279/model-of-obstacle-avoidance-on-hard-disk-drive-manufacturing-with-distance-constraint" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87279.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">198</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">388</span> A Bi-Objective Model to Address Simultaneous Formulation of Project Scheduling and Material Ordering</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Babak%20H.%20Tabrizi">Babak H. Tabrizi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Farid%20Ghaderi"> Seyed Farid Ghaderi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Concurrent planning of project scheduling and material ordering has been increasingly addressed within last decades as an approach to improve the project execution costs. Therefore, we have taken the problem into consideration in this paper, aiming to maximize schedules quality robustness, in addition to minimize the relevant costs. In this regard, a bi-objective mathematical model is developed to formulate the problem. Moreover, it is possible to utilize the all-unit discount for materials purchasing. The problem is then solved by the constraint method, and the Pareto front is obtained for a variety of robustness values. The applicability and efficiency of the proposed model is tested by different numerical instances, finally. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=e-constraint%20method" title="e-constraint method">e-constraint method</a>, <a href="https://publications.waset.org/abstracts/search?q=material%20ordering" title=" material ordering"> material ordering</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20management" title=" project management"> project management</a>, <a href="https://publications.waset.org/abstracts/search?q=project%20scheduling" title=" project scheduling"> project scheduling</a> </p> <a href="https://publications.waset.org/abstracts/40333/a-bi-objective-model-to-address-simultaneous-formulation-of-project-scheduling-and-material-ordering" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40333.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">295</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">387</span> Generalized Mean-Field Theory of Phase Unwrapping via Multiple Interferograms</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yohei%20Saika">Yohei Saika</a> </p> <p class="card-text"><strong>Abstract:</strong></p> On the basis of Bayesian inference using the maximizer of the posterior marginal estimate, we carry out phase unwrapping using multiple interferograms via generalized mean-field theory. Numerical calculations for a typical wave-front in remote sensing using the synthetic aperture radar interferometry, phase diagram in hyper-parameter space clarifies that the present method succeeds in phase unwrapping perfectly under the constraint of surface- consistency condition, if the interferograms are not corrupted by any noises. Also, we find that prior is useful for extending a phase in which phase unwrapping under the constraint of the surface-consistency condition. These results are quantitatively confirmed by the Monte Carlo simulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bayesian%20inference" title="Bayesian inference">Bayesian inference</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20mean-field%20theory" title=" generalized mean-field theory"> generalized mean-field theory</a>, <a href="https://publications.waset.org/abstracts/search?q=phase%20unwrapping" title=" phase unwrapping"> phase unwrapping</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20interferograms" title=" multiple interferograms"> multiple interferograms</a>, <a href="https://publications.waset.org/abstracts/search?q=statistical%20mechanics" title=" statistical mechanics"> statistical mechanics</a> </p> <a href="https://publications.waset.org/abstracts/11354/generalized-mean-field-theory-of-phase-unwrapping-via-multiple-interferograms" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11354.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">386</span> Towards Developing a Self-Explanatory Scheduling System Based on a Hybrid Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jian%20Zheng">Jian Zheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yoshiyasu%20Takahashi"> Yoshiyasu Takahashi</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuichi%20Kobayashi"> Yuichi Kobayashi</a>, <a href="https://publications.waset.org/abstracts/search?q=Tatsuhiro%20Sato"> Tatsuhiro Sato</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the study, we present a conceptual framework for developing a scheduling system that can generate self-explanatory and easy-understanding schedules. To this end, a user interface is conceived to help planners record factors that are considered crucial in scheduling, as well as internal and external sources relating to such factors. A hybrid approach combining machine learning and constraint programming is developed to generate schedules and the corresponding factors, and accordingly display them on the user interface. Effects of the proposed system on scheduling are discussed, and it is expected that scheduling efficiency and system understandability will be improved, compared with previous scheduling systems. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=constraint%20programming" title="constraint programming">constraint programming</a>, <a href="https://publications.waset.org/abstracts/search?q=factors%20considered%20in%20scheduling" title=" factors considered in scheduling"> factors considered in scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=scheduling%20system" title=" scheduling system"> scheduling system</a> </p> <a href="https://publications.waset.org/abstracts/43995/towards-developing-a-self-explanatory-scheduling-system-based-on-a-hybrid-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43995.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">324</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">385</span> Optimal Scheduling for Energy Storage System Considering Reliability Constraints</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Wook-Won%20Kim">Wook-Won Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Je-Seok%20Shin"> Je-Seok Shin</a>, <a href="https://publications.waset.org/abstracts/search?q=Jin-O%20Kim"> Jin-O Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper propose the method for optimal scheduling for battery energy storage system with reliability constraint of energy storage system in reliability aspect. The optimal scheduling problem is solved by dynamic programming with proposed transition matrix. Proposed optimal scheduling method guarantees the minimum fuel cost within specific reliability constraint. For evaluating proposed method, the timely capacity outage probability table (COPT) is used that is calculated by convolution of probability mass function of each generator. This study shows the result of optimal schedule of energy storage system. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20storage%20system%20%28ESS%29" title="energy storage system (ESS)">energy storage system (ESS)</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20scheduling" title=" optimal scheduling"> optimal scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamic%20programming" title=" dynamic programming"> dynamic programming</a>, <a href="https://publications.waset.org/abstracts/search?q=reliability%20constraints" title=" reliability constraints"> reliability constraints</a> </p> <a href="https://publications.waset.org/abstracts/39373/optimal-scheduling-for-energy-storage-system-considering-reliability-constraints" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39373.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">406</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">384</span> A Watermarking Signature Scheme with Hidden Watermarks and Constraint Functions in the Symmetric Key Setting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yanmin%20Zhao">Yanmin Zhao</a>, <a href="https://publications.waset.org/abstracts/search?q=Siu%20Ming%20Yiu"> Siu Ming Yiu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To claim the ownership for an executable program is a non-trivial task. An emerging direction is to add a watermark to the program such that the watermarked program preserves the original program’s functionality and removing the watermark would heavily destroy the functionality of the watermarked program. In this paper, the first watermarking signature scheme with the watermark and the constraint function hidden in the symmetric key setting is constructed. The scheme uses well-known techniques of lattice trapdoors and a lattice evaluation. The watermarking signature scheme is unforgeable under the Short Integer Solution (SIS) assumption and satisfies other security requirements such as the unremovability security property. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=short%20integer%20solution%20%28SIS%29%20problem" title="short integer solution (SIS) problem">short integer solution (SIS) problem</a>, <a href="https://publications.waset.org/abstracts/search?q=symmetric-key%20setting" title=" symmetric-key setting"> symmetric-key setting</a>, <a href="https://publications.waset.org/abstracts/search?q=watermarking%20schemes" title=" watermarking schemes"> watermarking schemes</a>, <a href="https://publications.waset.org/abstracts/search?q=watermarked%20signatures" title=" watermarked signatures"> watermarked signatures</a> </p> <a href="https://publications.waset.org/abstracts/126087/a-watermarking-signature-scheme-with-hidden-watermarks-and-constraint-functions-in-the-symmetric-key-setting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/126087.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">133</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">383</span> Research on Fuzzy Test Framework Based on Concolic Execution</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Xiong%20Xie">Xiong Xie</a>, <a href="https://publications.waset.org/abstracts/search?q=Yuhang%20Chen"> Yuhang Chen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Vulnerability discovery technology is a significant field of the current. In this paper, a fuzzy framework based on concolic execution has been proposed. Fuzzy test and symbolic execution are widely used in the field of vulnerability discovery technology. But each of them has its own advantages and disadvantages. During the path generation stage, path traversal algorithm based on generation is used to get more accurate path. During the constraint solving stage, dynamic concolic execution is used to avoid the path explosion. If there is external call, the concolic based on function summary is used. Experiments show that the framework can effectively improve the ability of triggering vulnerabilities and code coverage. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=concolic%20execution" title="concolic execution">concolic execution</a>, <a href="https://publications.waset.org/abstracts/search?q=constraint%20solving" title=" constraint solving"> constraint solving</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20test" title=" fuzzy test"> fuzzy test</a>, <a href="https://publications.waset.org/abstracts/search?q=vulnerability%20discovery" title=" vulnerability discovery"> vulnerability discovery</a> </p> <a href="https://publications.waset.org/abstracts/78029/research-on-fuzzy-test-framework-based-on-concolic-execution" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78029.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">228</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">382</span> A Heuristic Based Decomposition Approach for a Hierarchical Production Planning Problem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nusrat%20T.%20Chowdhury">Nusrat T. Chowdhury</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20F.%20Baki"> M. F. Baki</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Azab"> A. Azab</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The production planning problem is concerned with specifying the optimal quantities to produce in order to meet the demand for a prespecified planning horizon with the least possible expenditure. Making the right decisions in production planning will affect directly the performance and productivity of a manufacturing firm, which is important for its ability to compete in the market. Therefore, developing and improving solution procedures for production planning problems is very significant. In this paper, we develop a Dantzig-Wolfe decomposition of a multi-item hierarchical production planning problem with capacity constraint and present a column generation approach to solve the problem. The original Mixed Integer Linear Programming model of the problem is decomposed item by item into a master problem and a number of subproblems. The capacity constraint is considered as the linking constraint between the master problem and the subproblems. The subproblems are solved using the dynamic programming approach. We also propose a multi-step iterative capacity allocation heuristic procedure to handle any kind of infeasibility that arises while solving the problem. We compare the computational performance of the developed solution approach against the state-of-the-art heuristic procedure available in the literature. The results show that the proposed heuristic-based decomposition approach improves the solution quality by 20% as compared to the literature. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=inventory" title="inventory">inventory</a>, <a href="https://publications.waset.org/abstracts/search?q=multi-level%20capacitated%20lot-sizing" title=" multi-level capacitated lot-sizing"> multi-level capacitated lot-sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=emission%20control" title=" emission control"> emission control</a>, <a href="https://publications.waset.org/abstracts/search?q=setup%20carryover" title=" setup carryover"> setup carryover</a> </p> <a href="https://publications.waset.org/abstracts/112830/a-heuristic-based-decomposition-approach-for-a-hierarchical-production-planning-problem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112830.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">138</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">381</span> Supplier Selection by Bi-Objectives Mixed Integer Program Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=K.-H.%20Yang">K.-H. Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the past, there was a lot of excellent research studies conducted on topics related to supplier selection. Because the considered factors of supplier selection are complicated and difficult to be quantified, most researchers deal supplier selection issues by qualitative approaches. Compared to qualitative approaches, quantitative approaches are less applicable in the real world. This study tried to apply the quantitative approach to study a supplier selection problem with considering operation cost and delivery reliability. By those factors, this study applies Normalized Normal Constraint Method to solve the dual objectives mixed integer program of the supplier selection problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=bi-objectives%20MIP" title="bi-objectives MIP">bi-objectives MIP</a>, <a href="https://publications.waset.org/abstracts/search?q=normalized%20normal%20constraint%20method" title=" normalized normal constraint method"> normalized normal constraint method</a>, <a href="https://publications.waset.org/abstracts/search?q=supplier%20selection" title=" supplier selection"> supplier selection</a>, <a href="https://publications.waset.org/abstracts/search?q=quantitative%20approach" title=" quantitative approach"> quantitative approach</a> </p> <a href="https://publications.waset.org/abstracts/65651/supplier-selection-by-bi-objectives-mixed-integer-program-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65651.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">415</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=constraint&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=constraint&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=constraint&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=constraint&page=5">5</a></li> <li class="page-item"><a class="page-link" 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