{"title":"Optimal placement of mesh routers in a wireless mesh network with mobile mesh clients using simulated annealing","authors":"Lamri Sayad","doi":"10.1109/ISCBI.2017.8053542","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053542","url":null,"abstract":"A wireless mesh network (WMN) is a set of three kinds of nodes: clients, routers and gateways. One of the most challenging issues when dealing with a WMN is how to deploy mesh routers when the positions of mesh clients are known. In this paper, we consider a dynamic router node placement problem where, in addition, mesh clients are mobile. To solve this issue, we apply the simulated annealing metaheuristic (SA). At every iteration, clients are moving from their positions to new positions engendering new network topologies. To serve these clients, routers should update their positions by moving according to the new topology. Therefore, SA algorithm is applied to determine the positions of mesh routers every time it is needed. Simulation results demonstrate that the proposed approach is promising in determining optimal positions of mesh routers.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116524008","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":"A smart cost effective public transporation system: An ingenious location tracking of public transit vehicles","authors":"T. Kumar, Suraj Gupta, D. S. Kushwaha","doi":"10.1109/ISCBI.2017.8053560","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053560","url":null,"abstract":"At present, we are living in the era where the real time information is the first priority of the people. Most of the people use public transport vehicles to travel in their daily life and the time is wasted while waiting for the public transport vehicles in the absence of correct information. The developed countries are using GPS-based techniques for smart location tracking of the public vehicles but the developing countries still in the phase of developments are trying to automate this. This paper proposes an approach for tracking the real-time location of the vehicles that is cost effective too. The approach adopts the RFID communication techniques for the location tracking. The approach is an alternative solution to existing techniques and more economical than the GPS based technique. The approach shall be able to track the real-time location of the public transport vehicles and also provide the information to the public using a web interface. The proposed model is verified on the Network Simulator 2 (NS2) and efficiency of the approach is measured for different collision scenario. The proposed system requires very low installation cost, very less maintenance and operational cost.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"381 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124749581","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}
Fitri Utaminingrum, M. A. Fauzi, R. Wihandika, Sigit Adinugroho, Tri A. Kurniawan, Dahnial Syauqy, Y. A. Sari, P. P. Adikara
{"title":"Development of computer vision based obstacle detection and human tracking on smart wheelchair for disabled patient","authors":"Fitri Utaminingrum, M. A. Fauzi, R. Wihandika, Sigit Adinugroho, Tri A. Kurniawan, Dahnial Syauqy, Y. A. Sari, P. P. Adikara","doi":"10.1109/ISCBI.2017.8053533","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053533","url":null,"abstract":"People with physical disability such as quadriplegics may need a device which assist their mobility. Smart wheelchair is developed based on conventional wheelchair and is also generally equipped with sensors, cameras and computer based system as main processing unit to be able to perform specific algorithm for the intelligent capabilities. We develop smart wheelchair system that facilitates obstacle detection and human tracking based on computer vision. The experiment result of obstacle distance estimation using RANSAC showed lower average error, which is only 1.076 cm compared to linear regression which is 2.508 cm. The average accuracy of human guide detecting algorithm also showed acceptable result, which yield over 80% of accuracy.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125428029","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}
Fitri Utaminingrum, Tri Astoto Kumiawan, M. A. Fauzi, R. Wihandika, P. P. Adikara
{"title":"Adaptive human tracking for smart wheelchair","authors":"Fitri Utaminingrum, Tri Astoto Kumiawan, M. A. Fauzi, R. Wihandika, P. P. Adikara","doi":"10.1109/ISCBI.2017.8053535","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053535","url":null,"abstract":"People with impairment and having difficulties to walk, even impossible to move due to illness, injury, or disability need assistance tool. One assistance tool to help those people is wheelchair. With current technological developments, conventional wheelchair can be improved. Conventional wheelchair which operated by hand cannot be used by people with hand-foot impairment, as well as electric-powered wheelchair that need to be controlled with hand. For those with hand-foot impairment, conventional wheelchair can be assisted by assistant to help pushing and to maneuver. One drawback with this approach is the assistant will have limited movement and will have fatigue from pushing a wheelchair. This research try to overcome this drawback so that the wheelchair can move semi-autonomously. Proposed approach incorporates human tracking algorithm that later will be used to make the wheelchair moving independently without assistant to push from behind. This paper propose a framework that combines keypoint descriptors for human tracking: ORB, KAZE, AKAZE, BRISK, SIFT, and SURF. Each keypoint descriptors are given a score which is used to choose which descriptor is used until the minimum number of keypoints is fulfilled. If the best in the method list does not suffice, then the second best will be selected to generate keypoints, and so on. The result of the framework obtained high precision, 0.93 and 0.89 from two videos with different environments.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125712890","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}
M. Hazza, Any Nabila Bt Abu Bakar, E. Adesta, Assem Hatem Taha
{"title":"Empirical study on AGV guiding in indoor manufacturing system using color sensor","authors":"M. Hazza, Any Nabila Bt Abu Bakar, E. Adesta, Assem Hatem Taha","doi":"10.1109/ISCBI.2017.8053558","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053558","url":null,"abstract":"The automated guided vehicle (AGV) is one of the main components in the industry. The development of the AGV is getting advance and improve widely according to the high demands in the industry. They are most likely used as a material handling system to achieve flexible manufacturing system (FMS). The technology selections for the AGV are very important to increase the capability and reliability. However, many companies are using the magnetic sensor track; this technique is effective and accurate. In contrast, this technique is costly and inflexible. One of the alternatives that can be effective, more flexible and lower cost is by using a color sensor. In this study an empirical test have been implemented to test and conduct a new algorithm using different types of color sensors. The results show an effectiveness of using color sensors in addition to cost saving due to minimize the operational cost.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126341099","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":"Simulation of real time tracking system using RFID technology to enhance quality activities in flexible manufacturing system","authors":"M. Hazza, E. Adesta, Assem Hatem Taha","doi":"10.1109/ISCBI.2017.8053557","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053557","url":null,"abstract":"Flexible Manufacturing System (FMS) attracts industries to adopt it for its high productivity and flexibility. Recent improvement of FMS focuses on real-time tracking to ease planning, control and inspection to final product. One of the potential tools to be used in tracking, monitoring and controlling the final products is the Radio Frequency Identification (RFID) technology. Implementing RFID will lead to lower cost and high efficiency. This paper simulated a real-time tracking system using RFID technology to enhance and track the quality and inspection activities in FMS using Colored Petri Net (CPN) method. The proposed system suggests using RFID tags on base that carries the parts to be processed in the manufacturing system rather than putting the tag in the parts themselves. RFID Read/writes capability have been assumed in the model. Therefore, updating the data during the process will be adapted, such as reference number and updated status of part in further stages in the system. This gives a chance to use the base with tag again after accomplishing all required operations in the production system for other parts. Thus, this method helps to reduce the required cost for manufacturing. The simulation of the system using CPN tool shows that parts can be tracked successfully and provides more enhancements for production.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130779255","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":"GLCM and its application in pattern recognition","authors":"Shruti Singh, Divya Srivastava, S. Agarwal","doi":"10.1109/ISCBI.2017.8053537","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053537","url":null,"abstract":"Grey Level Co-Occurrence matrix is one of the oldest techniques used for texture analysis. The Grey Level Co-Occurrence matrix has two important parameters i.e. distance and direction. In this paper various combinations of distance and directional angles used for GLCM calculation are analyzed in order to recognize certain patterned images based on their textural features. Patterns considered in this paper are horizontally striped, vertically striped, right diagonally striped, left diagonally striped, checkered and irregular. Our proposed method has achieved a percentage accuracy of 96, 98, 96, 90, 96 and 94 for horizontally striped, vertically striped, right diagonally striped, left diagonally striped, checkered and irregular patterns respectively. Thus an overall percentage accuracy of 95 is achieved for pattern recognition using GLCM.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126522291","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":"Portfolios optimization with coherent risk measures in fuzzy asset management","authors":"Y. Yoshida","doi":"10.1109/ISCBI.2017.8053553","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053553","url":null,"abstract":"An portfolio optimization problem with fuzzy random variables is discussed. Risk measures for fuzzy random variables are introduced by perception-based approach. Randomness is estimated stochastically, and fuzziness are evaluated by the mean values with evaluation weights and λ-mean functions. Using coherent risk measures, we discuss a portfolio optimization problem under randomness and fuzziness. By analytical approach, we derive a solution of the portfolio problem. A numerical example is given to explain the results.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114136387","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}
Iztok Fister, A. Iglesias, S. Deb, D. Fister, Iztok Fister
{"title":"Modeling preference time in middle distance triathlons","authors":"Iztok Fister, A. Iglesias, S. Deb, D. Fister, Iztok Fister","doi":"10.1109/ISCBI.2017.8053546","DOIUrl":"https://doi.org/10.1109/ISCBI.2017.8053546","url":null,"abstract":"Modeling preference time in triathlons means predicting the intermediate times of particular sports disciplines by a given overall finish time in a specific triathlon course for the athlete with the known personal best result. This is a hard task for athletes and sport trainers due to a lot of different factors that need to be taken into account, e.g., athlete's abilities, health, mental preparations and even their current sports form. So far, this process was calculated manually without any specific software tools or using the artificial intelligence. This paper presents the new solution for modeling preference time in middle distance triathlons based on particle swarm optimization algorithm and archive of existing sports results. Initial results are presented, which suggest the usefulness of proposed approach, while remarks for future improvements and use are also emphasized.","PeriodicalId":128441,"journal":{"name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115686940","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}