{"title":"Integrated Motor Optimization and Route Planning for Electric Vehicle using Embedded GPU System","authors":"Vincent Roberge, M. Tarbouchi, A. Noureldin","doi":"10.1109/ICOA.2019.8727682","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727682","url":null,"abstract":"For the route planning of electric vehicles (EV) a greater emphasize is placed on minimizing the energy consumption. The model used to calculate the energy along the path is typically based on the mechanical model of the vehicle. However, to be more accurate, one should also consider the motor losses. In this paper, we propose an integrated motor optimization and route planning for EV based on the Particle Swarm Optimization (PSO) and the Bellman-Ford (BF) routing algorithm. The PSO is used to calculate optimized magnetic flux settings for an induction motor for various operating points. The calculated settings maintain the high efficiency of the motor throughout the trip, but are also used to accurately calculate the motor losses prior to planning the route. The BF algorithm is used to calculate optimized routes. A Pareto front of optimized routes that minimized energy and distance is produced and allows the user to select the preferred route. Both the PSO and the BF are implemented in CUDA on an embedded NVIDIA Jetson TX2 graphics processing unit (GPU) for maximum performance. The system is tested on road maps with up to 4.6 million edges and provides a speedup of 19.3x for the PSO and 10.1x for the BF.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122074586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Approach and contribution of urban road traffic management to reduce congestion estimation times using optimization algorithms","authors":"Sara Haddouch, H. Hachimi, N. Hmina","doi":"10.1109/ICOA.2019.8727659","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727659","url":null,"abstract":"The purpose of this paper is to study optimization algorithms to contribute to real-time management of urban road traffic in the near future. In order to understand how to control congestion caused by drivers with vehicles, we want our algorithm analysis approach to guarantee a remarkable time saving, which is an important notion in optimizing road traffic management. In particular, it is envisaged to study concepts and techniques in the field of modeling and user control of the vehicle. In addition, not to mention their interests in terms of traffic safety, fuel consumption and pollutant emissions.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"7 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129235556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Youssef Hmimz, T. Chanyour, Mohamed El Ghmary, Mohammed Ouçamah CHERKAOUI MALKI
{"title":"Energy Efficient and Devices Priority Aware Computation Offloading to a Mobile Edge Computing Server","authors":"Youssef Hmimz, T. Chanyour, Mohamed El Ghmary, Mohammed Ouçamah CHERKAOUI MALKI","doi":"10.1109/ICOA.2019.8727647","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727647","url":null,"abstract":"Mobile edge computing (MEC) provides remote computation capacity at the edge of mobile networks in close proximity to smart mobile devices (SMDs). These devices generally possess limited processing capacity and battery power. Hence, heavy tasks that require a lot of computation and are energy consuming must be offloaded to a MEC server. Actually, it must consider the wireless network state, the number of SMDs requesting the computation offloading, and the available radio resources. In this paper, we consider a multi-mobile users MEC system, where multiple SMDs demand computation offloading to a MEC server, and we take into account the presence of particular subscribers having priority for computation offloading services. The purpose of this paper is to jointly optimize task offloading decisions and the allocation of critical radio resources while maintaining the priority of certain mobile device users and minimizing overall power consumption. Therefore, we have formulated a bi-objective optimization problem which is NP-Hard. Accordingly, with the use of the weighted aggregation approach, we propose and evaluate a heuristic that, in addition to minimizing the overall energy, minimizes the number of penalized SMDs in case where the radio resources are critical. The obtained results in terms of energy and satisfaction of the SMDs are very encouraging.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121492882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ibtissame Kandrouch, C. Saadi, N. Hmina, H. Chaoui
{"title":"Security Measures Assessment for Big Data Management Systems","authors":"Ibtissame Kandrouch, C. Saadi, N. Hmina, H. Chaoui","doi":"10.1109/ICOA.2019.8727699","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727699","url":null,"abstract":"There is a trend in the use of big data today, and subsequently, increased requirements for systems able to store and manipulate these huge quantities of data. However, the adoption of these Big Data management systems can have positive as well as negative effects on the data security of service consumers.This paper aims to highlight the Big Data security problems, as well as the recent statistics showing the number of vulnerabilities that attack these systems, which prevent them to work safely. It allows analyzing a set of statistics in order to shed light on the importance of big data security. For finally present a proposal solution that can improve the security level of Hadoop Big Data management system, while justifying its feasibility.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127592284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimization of logistics to support the African's development","authors":"S. Bouazza, Zoubida Benmamoun, H. Hachimi","doi":"10.1109/ICOA.2019.8727650","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727650","url":null,"abstract":"Logistics has become a key of the economic development and growth, indeed transportation, port infrastructure, roads, motorways, rail and logistic platforms have a determining role for the development of the territory. In developing countries and particularly in Africa, logistics cost remains high and affect negatively the economic growth. Transport cost for most African landlocked countries is three to four times higher than in most developed countries and vary from 15 to 20 percent of imports costs (1). Despite certain weaknesses, Africa is emerging as new partner in globalization. International logistics operators are optimistic in Africa's development potential and its participation in the Global supply chain. This article will deepen the reflection on the development of the transport and logistics in Africa, by identifying the key factors leading to optimize the logistics network in order to support the development in Africa.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"394 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131845009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inertia Constant strategy on Mean Grey Wolf Optimizer Algorithm for Optimization functions","authors":"S.B. Singh, Narinder Singh, H. Hachimi","doi":"10.1109/ICOA.2019.8727691","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727691","url":null,"abstract":"Mean grey wolf algorithm is a crowd based technique which mimics the leadership hierarchy of wolves are very known for their group hunting. It is very interesting approach or execute most effortless and there are several constants adjust. Performance of the algorithm depends significantly on the suitable parameter value selection strategies for fine tuning its constants. Weight has been applied on the position update mathematical equations of Mean GWO to create a balance amid the exploration and exploitation characteristics of Mean GWO. In this text, has been developed a newly inertial weight based algorithm is called Inertia Constant Mena Grey Wolf Optimizer Algorithm (ICMGWO). The efficiency of the existing method has been verify on the well-known functions during to the comparison of the algorithms. Also existing variant is compared with least number of iterations, best score, standard deviation, mean, convergence rate and best time varying. Statistical analysis and experimental solutions reveals that existing variant improves the search accuracy in terms of convergence rate as well as solution quality.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116949720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Green Port in Blue Ocean: Optimization of Energy in Asian Ports","authors":"Soukaina Fahdi, Mariam Elkhechafi, H. Hachimi","doi":"10.1109/ICOA.2019.8727615","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727615","url":null,"abstract":"Motivated by the need to take care about physical and mental health of container terminal workers and reducing pollution in the port area and saving energy of handling equipment. This study compares the performance of rubber tired gantries (RTGs) and electric rubber tired gantries (E-RTGs) from the perspective of energy savings and CO2 reduction, and analyzes the impact of E-RTG use on the green port policies of international hub ports. This study discovered that E-RTG cranes offer a significant performance improvement compared with RTGs, and can achieve 86.60% energy savings and a 67.79% reduction in CO2 emissions.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127022290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards a Smart Sustainable City: Air Pollution Detection and Control using Internet of Things","authors":"Mohamed S. Ghoneim, Sahar M. Hamed","doi":"10.1109/ICOA.2019.8727690","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727690","url":null,"abstract":"Smart cities have become an essential and global need; they enhance the infrastructure to mitigate the problems caused by the rapid pace of the urbanization. The main goal is not only achieving a smart city but to realize a smart sustainable city, to achieve the balance of the environment alongside the balance of the city's technology evolution. The Internet of Things (IoT) technology is the most popular technology used in smart cities due to its efficiency in wide varieties of applications. Although the IoT is yet to fully emerge, the energy demand has proven to be significantly increased and will keep on increasing over the upcoming years, that's why it's crucial to investigate the Green IoT. One of the most challenging issues in cities is pollution especially air pollution. Air pollution will become a catastrophe with technological advancement if cities turned a blind eye to it. It has a direct effect on people’s health as well as the ecosystem. From this point, this paper suggests a green IoT based efficient system that detects and monitor the outdoor air pollution level; the system is powered by renewable energy. The system monitors the pollution level; if the pollution level exceeds the acceptable pollution level, it takes a decision to notify the authorities who can use this data in planning preventive actions and take measures to stop the continuous harmful air pollution effects and prevent the evolution of this phenomenon.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130500532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How to select suppliers when implementing a sustainable procurement strategy","authors":"H. Benchekroun, Zoubida Benmamoun, H. Hachimi","doi":"10.1109/ICOA.2019.8727666","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727666","url":null,"abstract":"Sustainable development is increasingly integrating corporate key strategies, and specially the purchasing function. Thus, optimizing environmental, social and economic dimensions is a priority for firms caring about sustainability. That involves choosing suppliers caring about continuous growth as well. This paper shows how companies should adapt their relationships with their suppliers when implementing sustainable procurement strategy, depending on the category of purchased items, and also the efforts that should be made by proactive buying firms to make progress in sustainable supply chain management.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114479792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PID Controller of a MIMO system using Ant Colony Algorithm and its application to a poultry house system","authors":"Lahlouh Ilyas, E. Ahmed, S. Nacer","doi":"10.1109/ICOA.2019.8727710","DOIUrl":"https://doi.org/10.1109/ICOA.2019.8727710","url":null,"abstract":"Poultry house are used for the main purpose of enhancing the environmental conditions in which birds are grown. The temperature inside livestock building is the most influential factor on the chickens. Commonly, it has been mutually interacted with others climatic parameters such as humidity, NH3 and CO2. This paper proposes a new ways to control the temperature inside poultry house using an optimized proportional-integrator-derivative (PID) controller. The primary technique focuses on the set of the output matrix via the adaptation of the static output feedback (SOF) control for the multi-inputs multi-output (MIMO) system. The generated single model of the poultry house process is regulated with the PID controller. Additionally, the Ant Colony Algorithm is employed to derive the optimal parameters (Kp, Ki, Kd) on testing the four multi-objective indices: the criterion of Integrated Squared Error (ISE), Integrated Absolute Error (IAE), Integrated Time Absolute Error (ITAE) and Integrated Time Squared Error (ITSE). The simulation results in case of hot conditions shows and demonstrates the good performance of the proposed technique in tracking the desired set point with the poultry house process.","PeriodicalId":109940,"journal":{"name":"2019 5th International Conference on Optimization and Applications (ICOA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122234589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}