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We mainly work with generalized reachability games and Buechi games. These games are two-player concurrent games where each player chooses simultaneously their moves at each step. Our goal is to give simple expressions of values for each game. Moreover, we are interested in the question of what type of optimal (ε-optimal) strategy exists for both players depending on the type of games. We first show the determinacy (optimal value) and optimal (ε-optimal) strategies in generalized reachability games. We provide a simple expressions of value of this game and prove the existence of memoryless randomized ε-optimal strategy for Player I in any generalized reachability games. We then observe games with more complex objectives, games with Buechi objectives. We present how to compute an ε-optimal strategies and approximate a value of game in some way. Specifically, the results of generalized reachability games are used to show the value of Buechi games can be approximated as values of some generalized reachability games. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimal%20Strategies" title="optimal Strategies">optimal Strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=generalized%20reachability%20games" title=" generalized reachability games"> generalized reachability games</a>, <a href="https://publications.waset.org/abstracts/search?q=Buechi%20games" title=" Buechi games"> Buechi games</a> </p> <a href="https://publications.waset.org/abstracts/23287/on-the-analysis-of-strategies-of-buechi-games" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23287.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">597</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">8539</span> Create a Model of Production and Marketing Strategies in Alignment with Business Strategy Using QFD Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Saremi">Hamed Saremi</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahla%20Saremi"> Shahla Saremi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today's competitive world, organizations are expected to surpass the competitors and benefit from the resources and benefits. Therefore, organizations need to improve the current performance is felt more than ever that this requires to identify organizational optimal strategies, and consider all strategies simultaneously. In this study, to enhance competitive advantage and according to customer requirements, alignment between business, production and marketing strategies, House of Quality (QFD) approach has been used and zero-one linear programming model has been studied. First, the alignment between production and marketing strategies with business strategy, independent weights of these strategies is calculated. Then with using QFD approach the aligned weights of optimal strategies in each production and marketing field will be obtained and finally the aligned marketing strategies selection with the purpose of allocating budget and specialist human resource to marketing functions will be done that lead to increasing competitive advantage and benefit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=marketing%20strategy" title="marketing strategy">marketing strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20strategy" title=" business strategy"> business strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=strategy%20alignment" title=" strategy alignment"> strategy alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=house%20of%20quality%20deployment" title=" house of quality deployment"> house of quality deployment</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20strategy" title=" production strategy"> production strategy</a> </p> <a href="https://publications.waset.org/abstracts/30246/create-a-model-of-production-and-marketing-strategies-in-alignment-with-business-strategy-using-qfd-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30246.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">611</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">8538</span> Model of Production and Marketing Strategies in Alignment with Business Strategy using QFD Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hamed%20Saremi">Hamed Saremi</a>, <a href="https://publications.waset.org/abstracts/search?q=Suzan%20Taghavy"> Suzan Taghavy</a>, <a href="https://publications.waset.org/abstracts/search?q=Shahla%20Saremi"> Shahla Saremi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In today's competitive world, organizations are expected to surpass the competitors and benefit from the resources and benefits. Therefore, organizations need to improve the current performance is felt more than ever that this requires to identify organizational optimal strategies, and consider all strategies simultaneously. In this study, to enhance competitive advantage and according to customer requirements, alignment between business, production and marketing strategies, House of Quality (QFD) approach has been used and zero-one linear programming model has been studied. First, the alignment between production and marketing strategies with business strategy, independent weights of these strategies is calculated. Then with using QFD approach the aligned weights of optimal strategies in each production and marketing field will be obtained and finally the aligned marketing strategies selection with the purpose of allocating budget and specialist human resource to marketing functions will be done that lead to increasing competitive advantage and benefit. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=strategy%20alignment" title="strategy alignment">strategy alignment</a>, <a href="https://publications.waset.org/abstracts/search?q=house%20of%20quality%20deployment" title=" house of quality deployment"> house of quality deployment</a>, <a href="https://publications.waset.org/abstracts/search?q=production%20strategy" title=" production strategy"> production strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=marketing%20strategy" title=" marketing strategy"> marketing strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20strategy" title=" business strategy"> business strategy</a> </p> <a href="https://publications.waset.org/abstracts/30239/model-of-production-and-marketing-strategies-in-alignment-with-business-strategy-using-qfd-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30239.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">441</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8537</span> Optimal Driving Strategies for a Hybrid Street Type Motorcycle: Modelling and Control</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jhon%20Vargas">Jhon Vargas</a>, <a href="https://publications.waset.org/abstracts/search?q=Gilberto%20Osorio-Gomez"> Gilberto Osorio-Gomez</a>, <a href="https://publications.waset.org/abstracts/search?q=Tatiana%20Manrique"> Tatiana Manrique</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This work presents an optimal driving strategy proposal for a 125 c.c. street-type hybrid electric motorcycle with a parallel configuration. The results presented in this article are complementary regarding the control proposal of a hybrid motorcycle. In order to carry out such developments, a representative dynamic model of the motorcycle is used, in which also are described different optimization functionalities for predetermined driving modes. The purpose is to implement an off-line optimal driving strategy which distributes energy to both engines by minimizing an objective torque requirement function. An optimal dynamic contribution is found from the optimization routine, and the optimal percentage contribution for vehicle cruise speed is implemented in the proposed online PID controller. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dynamic%20model" title="dynamic model">dynamic model</a>, <a href="https://publications.waset.org/abstracts/search?q=driving%20strategies" title=" driving strategies"> driving strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=parallel%20hybrid%20motorcycle" title=" parallel hybrid motorcycle"> parallel hybrid motorcycle</a>, <a href="https://publications.waset.org/abstracts/search?q=PID%20controller" title=" PID controller"> PID controller</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a> </p> <a href="https://publications.waset.org/abstracts/133692/optimal-driving-strategies-for-a-hybrid-street-type-motorcycle-modelling-and-control" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133692.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">200</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">8536</span> Predictive Models of Ruin Probability in Retirement Withdrawal Strategies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yuanjin%20Liu">Yuanjin Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Retirement withdrawal strategies are very important to minimize the probability of ruin in retirement. The ruin probability is modeled as a function of initial withdrawal age, gender, asset allocation, inflation rate, and initial withdrawal rate. The ruin probability is obtained based on the 2019 period life table for the Social Security, IRS Required Minimum Distribution (RMD) Worksheets, US historical bond and equity returns, and inflation rates using simulation. Several popular machine learning algorithms of the generalized additive model, random forest, support vector machine, extreme gradient boosting, and artificial neural network are built. The model validation and selection are based on the test errors using hyperparameter tuning and train-test split. The optimal model is recommended for retirees to monitor the ruin probability. The optimal withdrawal strategy can be obtained based on the optimal predictive model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ruin%20probability" title="ruin probability">ruin probability</a>, <a href="https://publications.waset.org/abstracts/search?q=retirement%20withdrawal%20strategies" title=" retirement withdrawal strategies"> retirement withdrawal strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20models" title=" predictive models"> predictive models</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20model" title=" optimal model"> optimal model</a> </p> <a href="https://publications.waset.org/abstracts/147438/predictive-models-of-ruin-probability-in-retirement-withdrawal-strategies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147438.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8535</span> An Optimal Control Model for the Dynamics of Visceral Leishmaniasis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20M.%20Elmojtaba">Ibrahim M. Elmojtaba</a>, <a href="https://publications.waset.org/abstracts/search?q=Rayan%20M.%20Altayeb"> Rayan M. Altayeb</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Visceral leishmaniasis (VL) is a vector-borne disease caused by the protozoa parasite of the genus leishmania. The transmission of the parasite to humans and animals occurs via the bite of adult female sandflies previously infected by biting and sucking blood of an infectious humans or animals. In this paper we use a previously proposed model, and then applied two optimal controls, namely treatment and vaccination to that model to investigate optimal strategies for controlling the spread of the disease using treatment and vaccination as the system control variables. The possible impact of using combinations of the two controls, either one at a time or two at a time on the spread of the disease is also examined. Our results provide a framework for vaccination and treatment strategies to reduce susceptible and infection individuals of VL in five years. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=visceral%20leishmaniasis" title="visceral leishmaniasis">visceral leishmaniasis</a>, <a href="https://publications.waset.org/abstracts/search?q=treatment" title=" treatment"> treatment</a>, <a href="https://publications.waset.org/abstracts/search?q=vaccination" title=" vaccination"> vaccination</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a> </p> <a href="https://publications.waset.org/abstracts/39487/an-optimal-control-model-for-the-dynamics-of-visceral-leishmaniasis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39487.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">407</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">8534</span> Modeling Intelligent Threats: Case of Continuous Attacks on a Specific Target</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Asma%20Ben%20Yaghlane">Asma Ben Yaghlane</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Naceur%20Azaiez"> Mohamed Naceur Azaiez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we treat a model that falls in the area of protecting targeted systems from intelligent threats including terrorism. We introduce the concept of system survivability, in the context of continuous attacks, as the probability that a system under attack will continue operation up to some fixed time t. We define a constant attack rate (CAR) process as an attack on a targeted system that follows an exponential distribution. We consider the superposition of several CAR processes. From the attacker side, we determine the optimal attack strategy that minimizes the system survivability. We also determine the optimal strengthening strategy that maximizes the system survivability under limited defensive resources. We use operations research techniques to identify optimal strategies of each antagonist. Our results may be used as interesting starting points to develop realistic protection strategies against intentional attacks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CAR%20processes" title="CAR processes">CAR processes</a>, <a href="https://publications.waset.org/abstracts/search?q=defense%2Fattack%20strategies" title=" defense/attack strategies"> defense/attack strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=exponential%20failure" title=" exponential failure"> exponential failure</a>, <a href="https://publications.waset.org/abstracts/search?q=survivability" title=" survivability"> survivability</a> </p> <a href="https://publications.waset.org/abstracts/83569/modeling-intelligent-threats-case-of-continuous-attacks-on-a-specific-target" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83569.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">399</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8533</span> Modeling and Optimal Control of Pneumonia Disease with Cost Effective Strategies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Getachew%20Tilahun">Getachew Tilahun</a>, <a href="https://publications.waset.org/abstracts/search?q=Oluwole%20Makinde"> Oluwole Makinde</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Malonza"> David Malonza</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We propose and analyze a non-linear mathematical model for the transmission dynamics of pneumonia disease in a population of varying size. The deterministic compartmental model is studied using stability theory of differential equations. The effective reproduction number is obtained and also the local and global asymptotically stability conditions for the disease free and as well as for the endemic equilibria are established. The model exhibit a backward bifurcation and the sensitivity indices of the basic reproduction number to the key parameters are determined. Using Pontryagin’s maximum principle, the optimal control problem is formulated with three control strategies; namely disease prevention through education, treatment and screening. The cost effectiveness analysis of the adopted control strategies revealed that the combination of prevention and treatment is the most cost effective intervention strategies to combat the pneumonia pandemic. Numerical simulation is performed and pertinent results are displayed graphically. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cost%20effectiveness%20analysis" title="cost effectiveness analysis">cost effectiveness analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=pneumonia%20dynamics" title=" pneumonia dynamics"> pneumonia dynamics</a>, <a href="https://publications.waset.org/abstracts/search?q=stability%20analysis" title=" stability analysis"> stability analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20simulation" title=" numerical simulation"> numerical simulation</a> </p> <a href="https://publications.waset.org/abstracts/61514/modeling-and-optimal-control-of-pneumonia-disease-with-cost-effective-strategies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61514.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">336</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">8532</span> Controlled Chemotherapy Strategy Applied to HIV Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Shohel%20Ahmed">Shohel Ahmed</a>, <a href="https://publications.waset.org/abstracts/search?q=Md.%20Abdul%20Alim"> Md. Abdul Alim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sumaiya%20Rahman"> Sumaiya Rahman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Optimal control can be helpful to test and compare different vaccination strategies of a certain disease. The mathematical model of HIV we consider here is a set of ordinary differential equations (ODEs) describing the interactions of CD4+T cells of the immune system with the human immunodeficiency virus (HIV). As an early treatment setting, we investigate an optimal chemotherapy strategy where control represents the percentage of effect the chemotherapy has on the system. The aim is to obtain a new optimal chemotherapeutic strategy where an isoperimetric constraint on the chemotherapy supply plays a crucial role. We outline the steps in formulating an optimal control problem, derive optimality conditions and demonstrate numerical results of an optimal control for the model. Numerical results illustrate how such a constraint alters the optimal vaccination schedule and its effect on cell-virus interactions. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chemotherapy%20of%20HIV" title="chemotherapy of HIV">chemotherapy of HIV</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control%20involving%20ODEs" title=" optimal control involving ODEs"> optimal control involving ODEs</a>, <a href="https://publications.waset.org/abstracts/search?q=optimality%20conditions" title=" optimality conditions"> optimality conditions</a>, <a href="https://publications.waset.org/abstracts/search?q=Pontryagin%E2%80%99s%20maximum%20principle" title=" Pontryagin’s maximum principle"> Pontryagin’s maximum principle</a> </p> <a href="https://publications.waset.org/abstracts/65162/controlled-chemotherapy-strategy-applied-to-hiv-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65162.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">340</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">8531</span> Optimal Hedging of a Portfolio of European Options in an Extended Binomial Model under Proportional Transaction Costs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Norm%20Josephy">Norm Josephy</a>, <a href="https://publications.waset.org/abstracts/search?q=Lucy%20Kimball"> Lucy Kimball</a>, <a href="https://publications.waset.org/abstracts/search?q=Victoria%20Steblovskaya"> Victoria Steblovskaya</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hedging of a portfolio of European options under proportional transaction costs is considered. Our discrete time financial market model extends the binomial market model with transaction costs to the case where the underlying stock price ratios are distributed over a bounded interval rather than over a two-point set. An optimal hedging strategy is chosen from a set of admissible non-self-financing hedging strategies. Our approach to optimal hedging of a portfolio of options is based on theoretical foundation that includes determination of a no-arbitrage option price interval as well as on properties of the non-self-financing strategies and their residuals. A computational algorithm for optimizing an investor relevant criterion over the set of admissible non-self-financing hedging strategies is developed. Applicability of our approach is demonstrated using both simulated data and real market data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=extended%20binomial%20model" title="extended binomial model">extended binomial model</a>, <a href="https://publications.waset.org/abstracts/search?q=non-self-financing%20hedging" title=" non-self-financing hedging"> non-self-financing hedging</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=proportional%20transaction%20costs" title=" proportional transaction costs"> proportional transaction costs</a> </p> <a href="https://publications.waset.org/abstracts/83333/optimal-hedging-of-a-portfolio-of-european-options-in-an-extended-binomial-model-under-proportional-transaction-costs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83333.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">257</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">8530</span> Optimal Sizes of Energy Storage for Economic Operation Management</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rohalla%20Moghimi">Rohalla Moghimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sirus%20Mohammadi"> Sirus Mohammadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Batteries for storage of electricity from solar and wind generation farms are a key element in the success of sustainability. In recent years, due to large integration of Renewable Energy Sources (RESs) like wind turbine and photovoltaic unit into the Micro-Grid (MG), the necessity of Battery Energy Storage (BES) has increased dramatically. The BES has several benefits and advantages in the MG-based applications such as short term power supply, power quality improvement, facilitating integration of RES, ancillary service and arbitrage. This paper presents the cost-based formulation to determine the optimal size of the BES in the operation management of MG. Also, some restrictions, i.e. power capacity of Distributed Generators (DGs), power and energy capacity of BES, charge/discharge efficiency of BES, operating reserve and load demand satisfaction should be considered as well. In this paper, a methodology is proposed for the optimal allocation and economic analysis of ESS in MGs on the basis of net present value (NPV). As the optimal operation of an MG strongly depends on the arrangement and allocation of its ESS, economic operation strategies and optimal allocation methods of the ESS devices are required for the MG. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microgrid" title="microgrid">microgrid</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20storage%20system" title=" energy storage system"> energy storage system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20sizing" title=" optimal sizing"> optimal sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=net%20present%20value" title=" net present value"> net present value</a> </p> <a href="https://publications.waset.org/abstracts/19067/optimal-sizes-of-energy-storage-for-economic-operation-management" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/19067.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">8529</span> Optimal Sizes of Battery Energy Storage Systems for Economic Operation in Microgrid</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sirus%20Mohammadi">Sirus Mohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20Ansari"> Sara Ansari</a>, <a href="https://publications.waset.org/abstracts/search?q=Darush%20dehghan"> Darush dehghan</a>, <a href="https://publications.waset.org/abstracts/search?q=Habib%20Hoshyari"> Habib Hoshyari</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Batteries for storage of electricity from solar and wind generation farms are a key element in the success of sustainability. In recent years, due to large integration of Renewable Energy Sources (RESs) like wind turbine and photovoltaic unit into the Micro-Grid (MG), the necessity of Battery Energy Storage (BES) has increased dramatically. The BES has several benefits and advantages in the MG-based applications such as short term power supply, power quality improvement, facilitating integration of RES, ancillary service and arbitrage. This paper presents the cost-based formulation to determine the optimal size of the BES in the operation management of MG. Also, some restrictions, i.e. power capacity of Distributed Generators (DGs), power and energy capacity of BES, charge/discharge efficiency of BES, operating reserve and load demand satisfaction should be considered as well. In this paper, a methodology is proposed for the optimal allocation and economic analysis of ESS in MGs on the basis of net present value (NPV). As the optimal operation of an MG strongly depends on the arrangement and allocation of its ESS, economic operation strategies and optimal allocation methods of the ESS devices are required for the MG. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microgrid" title="microgrid">microgrid</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20storage%20system" title=" energy storage system"> energy storage system</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20sizing" title=" optimal sizing"> optimal sizing</a>, <a href="https://publications.waset.org/abstracts/search?q=net%20present%20value" title=" net present value"> net present value</a> </p> <a href="https://publications.waset.org/abstracts/14316/optimal-sizes-of-battery-energy-storage-systems-for-economic-operation-in-microgrid" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/14316.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">501</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8528</span> Online Metacognitive Reading Strategies Use by Postgraduate Libyan EFL Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Najwa%20Alsayed%20Omar">Najwa Alsayed Omar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the increasing popularity of the Internet, online reading has become an essential source for EFL readers. Using strategies to comprehend information on online reading texts play a crucial role in students’ academic success. Metacognitive reading strategies are effective factors that enhance EFL learners reading comprehension. This study aimed at exploring the use of online metacognitive reading strategies by postgraduate Libyan EFL students. Quantitative data was collected using the Survey of Online Reading Strategies (OSORS). The findings revealed that the participants were moderate users of metacognitive online reading strategies. Problem solving strategies were the most frequently reported used strategies, while support reading strategies were the least. The five most and least frequently reported strategies were identified. Based on the findings, some future research recommendations were presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=metacognitive%20strategies" title="metacognitive strategies">metacognitive strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20reading" title=" online reading"> online reading</a>, <a href="https://publications.waset.org/abstracts/search?q=online%20reading%20strategies" title=" online reading strategies"> online reading strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=postgraduate%20students" title=" postgraduate students"> postgraduate students</a> </p> <a href="https://publications.waset.org/abstracts/11899/online-metacognitive-reading-strategies-use-by-postgraduate-libyan-efl-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11899.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">326</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">8527</span> Optimization of Strategies and Models Review for Optimal Technologies-Based on Fuzzy Schemes for Green Architecture</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ghada%20Elshafei">Ghada Elshafei</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Elazim%20Negm"> A. Elazim Negm</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, Green architecture becomes a significant way to a sustainable future. Green building designs involve finding the balance between comfortable homebuilding and sustainable environment. Moreover, the utilization of the new technologies such as artificial intelligence techniques are used to complement current practices in creating greener structures to keep the built environment more sustainable. The most common objectives are green buildings should be designed to minimize the overall impact of the built environment on ecosystems in general and particularly on human health and on the natural environment. This will lead to protecting occupant health, improving employee productivity, reducing pollution and sustaining the environmental. In green building design, multiple parameters which may be interrelated, contradicting, vague and of qualitative/quantitative nature are broaden to use. This paper presents a comprehensive critical state of art review of current practices based on fuzzy and its combination techniques. Also, presented how green architecture/building can be improved using the technologies that been used for analysis to seek optimal green solutions strategies and models to assist in making the best possible decision out of different alternatives. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=green%20architecture%2Fbuilding" title="green architecture/building">green architecture/building</a>, <a href="https://publications.waset.org/abstracts/search?q=technologies" title=" technologies"> technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=strategies" title=" strategies"> strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=fuzzy%20techniques" title=" fuzzy techniques"> fuzzy techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=models" title=" models"> models</a> </p> <a href="https://publications.waset.org/abstracts/26687/optimization-of-strategies-and-models-review-for-optimal-technologies-based-on-fuzzy-schemes-for-green-architecture" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/26687.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">484</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8526</span> Multiobjective Optimization of a Pharmaceutical Formulation Using Regression Method</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20Satya%20Eswari">J. Satya Eswari</a>, <a href="https://publications.waset.org/abstracts/search?q=Ch.%20Venkateswarlu"> Ch. Venkateswarlu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The formulation of a commercial pharmaceutical product involves several composition factors and response characteristics. When the formulation requires to satisfy multiple response characteristics which are conflicting, an optimal solution requires the need for an efficient multiobjective optimization technique. In this work, a regression is combined with a non-dominated sorting differential evolution (NSDE) involving Naïve & Slow and ε constraint techniques to derive different multiobjective optimization strategies, which are then evaluated by means of a trapidil pharmaceutical formulation. The analysis of the results show the effectiveness of the strategy that combines the regression model and NSDE with the integration of both Naïve & Slow and ε constraint techniques for Pareto optimization of trapidil formulation. With this strategy, the optimal formulation at pH=6.8 is obtained with the decision variables of micro crystalline cellulose, hydroxypropyl methylcellulose and compression pressure. The corresponding response characteristics of rate constant and release order are also noted down. The comparison of these results with the experimental data and with those of other multiple regression model based multiobjective evolutionary optimization strategies signify the better performance for optimal trapidil formulation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pharmaceutical%20formulation" title="pharmaceutical formulation">pharmaceutical formulation</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20regression%20model" title=" multiple regression model"> multiple regression model</a>, <a href="https://publications.waset.org/abstracts/search?q=response%20surface%20method" title=" response surface method"> response surface method</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20basis%20function%20network" title=" radial basis function network"> radial basis function network</a>, <a href="https://publications.waset.org/abstracts/search?q=differential%20evolution" title=" differential evolution"> differential evolution</a>, <a href="https://publications.waset.org/abstracts/search?q=multiobjective%20optimization" title=" multiobjective optimization"> multiobjective optimization</a> </p> <a href="https://publications.waset.org/abstracts/62859/multiobjective-optimization-of-a-pharmaceutical-formulation-using-regression-method" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/62859.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">417</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">8525</span> Evaluation of the Ardabil City Environmental Potential for Urban Development</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seiied%20Taghi%20Seiied%20Safavian">Seiied Taghi Seiied Safavian</a>, <a href="https://publications.waset.org/abstracts/search?q=Ebrahim%20Fataei"> Ebrahim Fataei</a>, <a href="https://publications.waset.org/abstracts/search?q=Taghi%20Ebadi"> Taghi Ebadi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Urbanized population increasing has been a major driving force for physical development and expansion. In this regard, selecting optimal management strategies for sustainable development of cities as the most important population centers has gotten more attention by the city managers. One of the most important issues in planning a sustainable development is environmental sustainability. In this research, identifying the optimal physical development strategies of Ardabil city in the future condition have been investigated based on land-use planning principles and regularities. Determination of suitable lands of urban development was conducted through natural variables comprised of slope, topography, geology, distance from fault, underground water's depth, land-use strategies and earth shape using hierarchical process method (AHP) in Geographical information system (GIS). Region's potential capabilities and talents were estimated by environmental elements extraction and its measurement based on environmental criteria. Consequently, specified suitable areas for Ardabil city development were introduced. Results of this research showed that the northern part of the Ardabil city is the most suitable sites for physical development of this city regarding the environmental sustainability criteria. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=urban%20development" title="urban development">urban development</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20sustainability" title=" environmental sustainability"> environmental sustainability</a>, <a href="https://publications.waset.org/abstracts/search?q=Ardabil%20city" title=" Ardabil city"> Ardabil city</a>, <a href="https://publications.waset.org/abstracts/search?q=AHP" title=" AHP"> AHP</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS "> GIS </a> </p> <a href="https://publications.waset.org/abstracts/34325/evaluation-of-the-ardabil-city-environmental-potential-for-urban-development" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/34325.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">433</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">8524</span> Toward a Characteristic Optimal Power Flow Model for Temporal Constraints</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zongjie%20Wang">Zongjie Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhizhong%20Guo"> Zhizhong Guo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> While the regular optimal power flow model focuses on a single time scan, the optimization of power systems is typically intended for a time duration with respect to a desired objective function. In this paper, a temporal optimal power flow model for a time period is proposed. To reduce the computation burden needed for calculating temporal optimal power flow, a characteristic optimal power flow model is proposed, which employs different characteristic load patterns to represent the objective function and security constraints. A numerical method based on the interior point method is also proposed for solving the characteristic optimal power flow model. Both the temporal optimal power flow model and characteristic optimal power flow model can improve the systems’ desired objective function for the entire time period. Numerical studies are conducted on the IEEE 14 and 118-bus test systems to demonstrate the effectiveness of the proposed characteristic optimal power flow model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimal%20power%20flow" title="optimal power flow">optimal power flow</a>, <a href="https://publications.waset.org/abstracts/search?q=time%20period" title=" time period"> time period</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a>, <a href="https://publications.waset.org/abstracts/search?q=economy" title=" economy"> economy</a> </p> <a href="https://publications.waset.org/abstracts/61552/toward-a-characteristic-optimal-power-flow-model-for-temporal-constraints" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/61552.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">461</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">8523</span> Optimal Management of Internal Capital of Company</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Sadallah">S. Sadallah</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, dynamic programming is used to determine the optimal management of financial resources in company. Solution of the problem by consider into simpler substructures is constructed. The optimal management of internal capital of company are simulated. The tools applied in this development are based on graph theory. The software of given problems is built by using greedy algorithm. The obtained model and program maintenance enable us to define the optimal version of management of proper financial flows by using visual diagram on each level of investment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=management" title="management">management</a>, <a href="https://publications.waset.org/abstracts/search?q=software" title=" software"> software</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal" title=" optimal"> optimal</a>, <a href="https://publications.waset.org/abstracts/search?q=greedy%20algorithm" title=" greedy algorithm"> greedy algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=graph-diagram" title=" graph-diagram"> graph-diagram</a> </p> <a href="https://publications.waset.org/abstracts/47406/optimal-management-of-internal-capital-of-company" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47406.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">290</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">8522</span> Integrated Genetic-A* Graph Search Algorithm Decision Model for Evaluating Cost and Quality of School Renovation Strategies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yu-Ching%20Cheng">Yu-Ching Cheng</a>, <a href="https://publications.waset.org/abstracts/search?q=Yi-Kai%20Juan"> Yi-Kai Juan</a>, <a href="https://publications.waset.org/abstracts/search?q=Daniel%20Castro"> Daniel Castro</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Energy consumption of buildings has been an increasing concern for researchers and practitioners in the last decade. Sustainable building renovation can reduce energy consumption and carbon dioxide emissions; meanwhile, it also can extend existing buildings useful life and facilitate environmental sustainability while providing social and economic benefits to the society. School buildings are different from other designed spaces as they are more crowded and host the largest portion of daily activities and occupants. Strategies that focus on reducing energy use but also improve the students’ learning environment becomes a significant subject in sustainable school buildings development. A decision model is developed in this study to solve complicated and large-scale combinational, discrete and determinate problems such as school renovation projects. The task of this model is to automatically search for the most cost-effective (lower cost and higher quality) renovation strategies. In this study, the search process of optimal school building renovation solutions is by nature a large-scale zero-one programming determinate problem. A* is suitable for solving deterministic problems due to its stable and effective search process, and genetic algorithms (GA) provides opportunities to acquire global optimal solutions in a short time via its indeterminate search process based on probability. These two algorithms are combined in this study to consider trade-offs between renovation cost and improved quality, this decision model is able to evaluate current school environmental conditions and suggest an optimal scheme of sustainable school buildings renovation strategies. Through adoption of this decision model, school managers can overcome existing limitations and transform school buildings into spaces more beneficial to students and friendly to the environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=decision%20model" title="decision model">decision model</a>, <a href="https://publications.waset.org/abstracts/search?q=school%20buildings" title=" school buildings"> school buildings</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20renovation" title=" sustainable renovation"> sustainable renovation</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=A%2A%20search%20algorithm" title=" A* search algorithm"> A* search algorithm</a> </p> <a href="https://publications.waset.org/abstracts/97308/integrated-genetic-a-graph-search-algorithm-decision-model-for-evaluating-cost-and-quality-of-school-renovation-strategies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/97308.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 class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8521</span> Investigating Mathematics Teachers' Knowledge of the Effective Teaching Strategies</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zafer%20F.%20Alshehri">Zafer F. Alshehri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper investigated mathematics teachers' knowledge of the effective teaching strategies at the Southern Region of Saudi Arabia. Specifically, it aimed to identify a list of the effective strategies of teaching mathematics; the extent of mathematics teachers' knowledge of these strategies; and the differences (if any) of mathematics teachers' knowledge of these strategies regarding scientific degree, teaching experience, and educational sage. To achieve that, the researcher used the descriptive approach for preparing a list of effective mathematics teaching strategies and developing a questionnaire of a sample of (240) mathematics teachers. As a result, there were differences in teachers' knowledge of the effective teaching strategies, which ranked as a low, and the highest knowledge was in favor of higher degrees. In addition, there were a few recommendations and suggestions for developing mathematics teachers' knowledge of effective teaching strategies, such as involving in workshops of mathematics teaching strategies, integrating technology into mathematics teaching, and using research findings in the instruction process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mathematics%20teaching%20knowledge" title="mathematics teaching knowledge">mathematics teaching knowledge</a>, <a href="https://publications.waset.org/abstracts/search?q=mathematics%20teachers" title=" mathematics teachers"> mathematics teachers</a>, <a href="https://publications.waset.org/abstracts/search?q=effective%20mathematics%20teaching%20strategies" title=" effective mathematics teaching strategies"> effective mathematics teaching strategies</a> </p> <a href="https://publications.waset.org/abstracts/22233/investigating-mathematics-teachers-knowledge-of-the-effective-teaching-strategies" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/22233.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">519</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">8520</span> Synchronization of Chaotic T-System via Optimal Control as an Adaptive Controller</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hossein%20Kheiri">Hossein Kheiri</a>, <a href="https://publications.waset.org/abstracts/search?q=Bashir%20Naderi"> Bashir Naderi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohamad%20Reza%20Niknam"> Mohamad Reza Niknam</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper we study the optimal synchronization of chaotic T-system with complete uncertain parameter. Optimal control laws and parameter estimation rules are obtained by using Hamilton-Jacobi-Bellman (HJB) technique and Lyapunov stability theorem. The derived control laws are optimal adaptive control and make the states of drive and response systems asymptotically synchronized. Numerical simulation shows the effectiveness and feasibility of the proposed method. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lyapunov%20stability" title="Lyapunov stability">Lyapunov stability</a>, <a href="https://publications.waset.org/abstracts/search?q=synchronization" title=" synchronization"> synchronization</a>, <a href="https://publications.waset.org/abstracts/search?q=chaos" title=" chaos"> chaos</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=adaptive%20control" title=" adaptive control"> adaptive control</a> </p> <a href="https://publications.waset.org/abstracts/8820/synchronization-of-chaotic-t-system-via-optimal-control-as-an-adaptive-controller" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8820.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">493</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">8519</span> Effect of Variable Fluxes on Optimal Flux Distribution in a Metabolic Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ehsan%20Motamedian">Ehsan Motamedian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Finding all optimal flux distributions of a metabolic model is an important challenge in systems biology. In this paper, a new algorithm is introduced to identify all alternate optimal solutions of a large scale metabolic network. The algorithm reduces the model to decrease computations for finding optimal solutions. The algorithm was implemented on the Escherichia coli metabolic model to find all optimal solutions for lactate and acetate production. There were more optimal flux distributions when acetate production was optimized. The model was reduced from 1076 to 80 variable fluxes for lactate while it was reduced to 91 variable fluxes for acetate. These 11 more variable fluxes resulted in about three times more optimal flux distributions. Variable fluxes were from 12 various metabolic pathways and most of them belonged to nucleotide salvage and extra cellular transport pathways. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flux%20variability" title="flux variability">flux variability</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20network" title=" metabolic network"> metabolic network</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed-integer%20linear%20programming" title=" mixed-integer linear programming"> mixed-integer linear programming</a>, <a href="https://publications.waset.org/abstracts/search?q=multiple%20optimal%20solutions" title=" multiple optimal solutions"> multiple optimal solutions</a> </p> <a href="https://publications.waset.org/abstracts/15698/effect-of-variable-fluxes-on-optimal-flux-distribution-in-a-metabolic-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15698.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">441</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">8518</span> Operations Research Applications in Audit Planning and Scheduling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdel-Aziz%20M.%20Mohamed">Abdel-Aziz M. Mohamed</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a state-of-the-art survey of the operations research models developed for internal audit planning. Two alternative approaches have been followed in the literature for audit planning: (1) identifying the optimal audit frequency; and (2) determining the optimal audit resource allocation. The first approach identifies the elapsed time between two successive audits, which can be presented as the optimal number of audits in a given planning horizon, or the optimal number of transactions after which an audit should be performed. It also includes the optimal audit schedule. The second approach determines the optimal allocation of audit frequency among all auditable units in the firm. In our review, we discuss both the deterministic and probabilistic models developed for audit planning. In addition, game theory models are reviewed to find the optimal auditing strategy based on the interactions between the auditors and the clients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=operations%20research%20applications" title="operations research applications">operations research applications</a>, <a href="https://publications.waset.org/abstracts/search?q=audit%20frequency" title=" audit frequency"> audit frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=audit-staff%20scheduling" title=" audit-staff scheduling"> audit-staff scheduling</a>, <a href="https://publications.waset.org/abstracts/search?q=audit%20planning" title=" audit planning"> audit planning</a> </p> <a href="https://publications.waset.org/abstracts/30968/operations-research-applications-in-audit-planning-and-scheduling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/30968.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">820</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">8517</span> Modelling the Dynamics and Optimal Control Strategies of Terrorism within the Southern Borno State Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lubem%20Matthew%20Kwaghkor">Lubem Matthew Kwaghkor</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Terrorism, which remains one of the largest threats faced by various nations and communities around the world, including Nigeria, is the calculated use of violence to create a general climate of fear in a population to attain particular goals that might be political, religious, or economical. Several terrorist groups are currently active in Nigeria, leading to attacks on both civil and military targets. Among these groups, Boko Haram is the deadliest terrorist group operating majorly in Borno State. The southern part of Borno State in North-Eastern Nigeria has been plagued by terrorism, insurgency, and conflict for several years. Understanding the dynamics of terrorism is crucial for developing effective strategies to mitigate its impact on communities and to facilitate peace-building efforts. This research aims to develop a mathematical model that captures the dynamics of terrorism within the southern part of Borno State, Nigeria, capturing both government and local community intervention strategies as control measures in combating terrorism. A compartmental model of five nonlinear differential equations is formulated. The model analyses show that a feasible solution set of the model exists and is bounded. Stability analyses show that both the terrorism free equilibrium and the terrorism endermic equilibrium are asymptotically stable, making the model to have biological meaning. Optimal control theory will be employed to identify the most effective strategy to prevent or minimize acts of terrorism. The research outcomes are expected to contribute towards enhancing security and stability in Southern Borno State while providing valuable insights for policymakers, security agencies, and researchers. This is an ongoing research. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=modelling" title="modelling">modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=terrorism" title=" terrorism"> terrorism</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title=" optimal control"> optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=susceptible" title=" susceptible"> susceptible</a>, <a href="https://publications.waset.org/abstracts/search?q=non-susceptible" title=" non-susceptible"> non-susceptible</a>, <a href="https://publications.waset.org/abstracts/search?q=community%20intervention" title=" community intervention"> community intervention</a> </p> <a href="https://publications.waset.org/abstracts/191841/modelling-the-dynamics-and-optimal-control-strategies-of-terrorism-within-the-southern-borno-state-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191841.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">35</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">8516</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">414</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">8515</span> Optimal Control of DC Motor Using Linear Quadratic Regulator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Meetty%20Tomy">Meetty Tomy</a>, <a href="https://publications.waset.org/abstracts/search?q=Arxhana%20G%20Thosar"> Arxhana G Thosar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper provides the implementation of optimal control for an armature-controlled DC motor. The selection of error weighted Matrix and control weighted matrix in order to implement optimal control theory for improving the dynamic behavior of DC motor is presented. The closed loop performance of Armature controlled DC motor with derived linear optimal controller is then evaluated for the transient operating condition (starting). The result obtained from MATLAB is compared with that of PID controller and simple closed loop response of the motor. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=optimal%20control" title="optimal control">optimal control</a>, <a href="https://publications.waset.org/abstracts/search?q=DC%20motor" title=" DC motor"> DC motor</a>, <a href="https://publications.waset.org/abstracts/search?q=performance%20index" title=" performance index"> performance index</a>, <a href="https://publications.waset.org/abstracts/search?q=MATLAB" title=" MATLAB"> MATLAB</a> </p> <a href="https://publications.waset.org/abstracts/45943/optimal-control-of-dc-motor-using-linear-quadratic-regulator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45943.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">416</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">8514</span> Portfolio Selection with Constraints on Trading Frequency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Min%20Dai">Min Dai</a>, <a href="https://publications.waset.org/abstracts/search?q=Hong%20Liu"> Hong Liu</a>, <a href="https://publications.waset.org/abstracts/search?q=Shuaijie%20Qian"> Shuaijie Qian</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We study a portfolio selection problem of an investor who faces constraints on rebalancing frequency, which is common in pension fund investment. We formulate it as a multiple optimal stopping problem and utilize the dynamic programming principle. By numerically solving the corresponding Hamilton-Jacobi-Bellman (HJB) equation, we find a series of free boundaries characterizing optimal strategy, and the constraints significantly impact the optimal strategy. Even in the absence of transaction costs, there is a no-trading region, depending on the number of the remaining trading chances. We also find that the equivalent wealth loss caused by the constraints is large. In conclusion, our model clarifies the impact of the constraints on transaction frequency on the optimal strategy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=portfolio%20selection" title="portfolio selection">portfolio selection</a>, <a href="https://publications.waset.org/abstracts/search?q=rebalancing%20frequency" title=" rebalancing frequency"> rebalancing frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20strategy" title=" optimal strategy"> optimal strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=free%20boundary" title=" free boundary"> free boundary</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20stopping" title=" optimal stopping"> optimal stopping</a> </p> <a href="https://publications.waset.org/abstracts/171745/portfolio-selection-with-constraints-on-trading-frequency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/171745.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">95</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">8513</span> Omani PE Candidate Self-Reports of Learning Strategies Used to Learn Sport Skills</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nasser%20Al-Rawahi">Nasser Al-Rawahi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The study aims at determining self-regulated learning strategies used by Omani physical education candidates to learn sport skills. The data were collected by a self-regulated learning theory questionnaire. The sample of the study comprised of 145 undergraduate physical education students enrolled in the department of physical education at the College of Education, Sultan Qaboos University. The findings of the study revealed that the most commonly used strategies for learning sport skills by Omani physical education candidate are ‘the effort learning strategies, planning learning strategies and evaluation learning strategies’. However, the reflection learning strategies, self-monitoring and self-efficacy learning strategies were revealed as the least used strategies by the PE candidates in learning and acquiring sport skills. Based on these findings, suggestions and recommendations for future research were provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=learning%20strategies" title="learning strategies">learning strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=physical%20education%20candidates" title=" physical education candidates"> physical education candidates</a>, <a href="https://publications.waset.org/abstracts/search?q=self-regulated%20learning%20theory" title=" self-regulated learning theory"> self-regulated learning theory</a>, <a href="https://publications.waset.org/abstracts/search?q=Oman" title=" Oman"> Oman</a> </p> <a href="https://publications.waset.org/abstracts/10271/omani-pe-candidate-self-reports-of-learning-strategies-used-to-learn-sport-skills" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/10271.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">621</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">8512</span> Experimental Investigation on the Optimal Operating Frequency of a Thermoacoustic Refrigerator</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kriengkrai%20Assawamartbunlue">Kriengkrai Assawamartbunlue</a>, <a href="https://publications.waset.org/abstracts/search?q=Channarong%20Wantha"> Channarong Wantha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents the effects of the mean operating pressure on the optimal operating frequency based on temperature differences across stack ends in a thermoacoustic refrigerator. In addition to the length of the resonance tube, components of the thermoacoustic refrigerator have an influence on the operating frequency due to their acoustic properties, i.e. absorptivity, reflectivity and transmissivity. The interference of waves incurs and distorts the original frequency generated by the driver so that the optimal operating frequency differs from the designs. These acoustic properties are not parameters in the designs and it is very complicated to infer their responses. A prototype thermoacoustic refrigerator is constructed and used to investigate its optimal operating frequency compared to the design at various operating pressures. Helium and air are used as working fluids during the experiments. The results indicate that the optimal operating frequency of the prototype thermoacoustic refrigerator using helium is at 6 bar and 490Hz or approximately 20% away from the design frequency. The optimal operating frequency at other mean pressures differs from the design in an unpredictable manner, however, the optimal operating frequency and pressure can be identified by testing. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=acoustic%20properties" title="acoustic properties">acoustic properties</a>, <a href="https://publications.waset.org/abstracts/search?q=Carnot%E2%80%99s%20efficiency" title=" Carnot’s efficiency"> Carnot’s efficiency</a>, <a href="https://publications.waset.org/abstracts/search?q=interference%20of%20waves" title=" interference of waves"> interference of waves</a>, <a href="https://publications.waset.org/abstracts/search?q=operating%20pressure" title=" operating pressure"> operating pressure</a>, <a href="https://publications.waset.org/abstracts/search?q=optimal%20operating%20frequency" title=" optimal operating frequency"> optimal operating frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=stack%20performance" title=" stack performance"> stack performance</a>, <a href="https://publications.waset.org/abstracts/search?q=standing%20wave" title=" standing wave"> standing wave</a>, <a href="https://publications.waset.org/abstracts/search?q=thermoacoustic%20refrigerator" title=" thermoacoustic refrigerator"> thermoacoustic refrigerator</a> </p> <a href="https://publications.waset.org/abstracts/23908/experimental-investigation-on-the-optimal-operating-frequency-of-a-thermoacoustic-refrigerator" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/23908.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">490</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">8511</span> Research on Models and Selection of Entry Strategies for Catering Industry Based on the Evolutionary Game Theory</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jianxin%20Zhu">Jianxin Zhu</a>, <a href="https://publications.waset.org/abstracts/search?q=Na%20Liu"> Na Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Entry strategies play a vital role in the development of new enterprises in the catering industry. Different entry strategies will have different effects on the development of new enterprise. Based on the research of scholars at home and abroad, and combining the characteristics of the catering industry, the entry strategies are divided into low-price entry strategies and high-quality entry strategies. Facing the entry of new enterprise, the strategies of incumbent enterprises are divided into response strategies and non-response strategies. This paper uses evolutionary game theory to study the strategic interaction mechanism between incumbent companies and new enterprises. When different initial values and parameter values are set, which strategy will the two-game subjects choose, respectively? Using matlab2016 for numerical simulation, the results show that the choice of strategies for new enterprise and incumbent enterprise is influenced by more than one factor, and the system has different evolution trends under different circumstances. When the parameters were set, the choice of two subjects' strategies mainly depends on the net profit between the strategies. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=catering%20industry" title="catering industry">catering industry</a>, <a href="https://publications.waset.org/abstracts/search?q=entry%20strategy" title=" entry strategy"> entry strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=evolutionary%20game" title=" evolutionary game"> evolutionary game</a>, <a href="https://publications.waset.org/abstracts/search?q=strategic%20interaction%20mechanism" title=" strategic interaction mechanism"> strategic interaction mechanism</a> </p> <a href="https://publications.waset.org/abstracts/121230/research-on-models-and-selection-of-entry-strategies-for-catering-industry-based-on-the-evolutionary-game-theory" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/121230.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">140</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=optimal%20Strategies&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=optimal%20Strategies&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=optimal%20Strategies&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=optimal%20Strategies&page=5">5</a></li> <li class="page-item"><a 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