{"title":"Scaled artificial bee colony programming","authors":"Boudouaoui Yassine, H. Hacene","doi":"10.1109/ICASS.2018.8651986","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651986","url":null,"abstract":"Problems of symbolic regression aim to develop a function, described in symbolic form, that fits a given target fitcases. Artificial bee colony programing algorithm (ABCP) is one of the most feasible automatic programming methods that was proposed to solve symbolic regression problems. ABCP concept is based on swarm bee optimization and proved to achieve satisfactory performance. This paper proposes a novel variant of ABCP algorithm referred to as scaled artificial bee colony programming (SABCP). The SABCP variant results from structural modifications of ABCP which apply to food sources and solution representation as well as prediction model output form. The designed variant is checked for performance on symbolic regression problems and compared to other programming methods.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"27 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114106092","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":"Enhanced Chaos-based Pseudo Random Numbers Generator","authors":"L. Merah, Ali-Pacha Adda, Hadjadj Naima","doi":"10.1109/ICASS.2018.8652079","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652079","url":null,"abstract":"Enhancing chaos-based PRNGs quality is the subject of this paper. The big problem that chaotic systems suffer from is the limited arithmetic computation size, that is; dynamical degradation in digital chaotic systems appears due to the digitization process. Quantization error, limited cycle-length and worse statistical proprieties of the chaotic sequence are in fact the most shortcomings of implementing chaotic systems on digital computers. In this paper, we have proposed a simple method for purifying as maximum as possible digital chaotic systems from aforementioned shortcomings. The method consists of using a mechanism to perturb the chaotic orbits during randomly chosen periods, and in the same time using another circuit to convert the chaotic sequence to another one that provide good statistical proprieties. The proposed scheme has been applied on the Logistic chaotic map using low arithmetic computation size, the results in terms of cycle-length and uniformity showed that the proposed scheme is so better compared to the original system and can extremely enhance the chaotic proprieties of a given digital chaotic system.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124731082","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":"Electrocaloric Refrigeration near Room Temperature","authors":"Kehileche Brahim, Chiba Younes, Henini Noureddine, Tlemçani Abdelhalim","doi":"10.1109/ICASS.2018.8651992","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651992","url":null,"abstract":"in this study, for a room temperature electrocaloric cooling device, a decoupled multiphysics numerical model (electric, heat transfer, and fluid flow) is developed using COMSOL multphysics, as a design tool, user defined function are incorporated into the software (COMSOL) in order to take into account the ECE. Ferroelectric materials is the best solutions for EC cooling. Material with a large ECE room temperature and a broad working temperature range are getting closer to practical application. We numerically calculated the effects of parameter in EC refrigeration.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125152032","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}
Sara Daas, M. Boughazi, Mouna Sedhane, B. Bouledjfane
{"title":"A review of finger vein biometrics authentication System","authors":"Sara Daas, M. Boughazi, Mouna Sedhane, B. Bouledjfane","doi":"10.1109/ICASS.2018.8652005","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652005","url":null,"abstract":"In nowadays, with the fast development in the field of electronic information technology, the identity verification and security of data is a critical main problem. Due to this fact, the biometric recognition has gaining popularity as it provides a high security, reliable and robust approach for personal identification. As a new biometric technique, finger vein recognition has attracted lots of attention from researchers. In this paper a survey has been done on finger vein biometrics recognition taken from existing research work on image preprocessing, feature extraction, classification stage and the performance parameter of biometric system the Equal Error Rate (EER). The main aim of this study is to enlighten finger vein authentication research domain.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"500 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126239157","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":"Traffic signs recognition with deep learning","authors":"Djebbara Yasmina, Rebai Karima, Azouaoui Ouahiba","doi":"10.1109/ICASS.2018.8652024","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652024","url":null,"abstract":"In this paper, a deep learning based road traffic signs recognition method is developed which is very promising in the development of Advanced Driver Assistance Systems (ADAS) and autonomous vehicles. The system architecture is designed to extract main features from images of traffic signs to classify them under different categories. The presented method uses a modified LeNet-5 network to extract a deep representation of traffic signs to perform the recognition. It is constituted of a Convolutional Neural Network (CNN) modified by connecting the output of all convolutional layers to the Multilayer Perceptron (MLP). The training is conducted using the German Traffic Sign Dataset and achieves good results on recognizing traffic signs.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116771759","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 2D Optical Code Division Multiple Access System with Different Receiver Structures using Multi-Wavelength Optical Orthogonal Codes","authors":"Abdelhalim Rabehi, A. Hafaifa","doi":"10.1109/ICASS.2018.8651958","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651958","url":null,"abstract":"In this paper, we are interested in simulating a two-dimensional Optical Code Division Multiple Access (OCDMA) system with different receiver’s structures using Multi-Wavelength Optical Orthogonal Code (MWOOC) with parameters (L×F,3,1,1). These structures are Conventional Correlation Receiver (CCR) with and without Hard Limiter (HL) and the Parallel Interference Cancellation (PIC). The performances comparison in term of bit error rate (BER) shows that the PIC receiver is the most efficient receiver against the Multiple Access Interference (MAI) effects than the others receivers.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114313225","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}
Ali Ghelam, Mohamed Boudhiaf, Hamida Bekai, Maria Abikchi
{"title":"Non-linear Control of a PV System coupled to the power grid","authors":"Ali Ghelam, Mohamed Boudhiaf, Hamida Bekai, Maria Abikchi","doi":"10.1109/ICASS.2018.8652042","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652042","url":null,"abstract":"In this article we present the classification and the nature of the inverter used in PV system. Moreover, the inverter control techniques such as hysteresis, plain wave and PWM control. And also, we examine coupling simulation results of a photovoltaic source on the power grid via a 2-level DC-AC converter with NPC structure. To improve the control performance of the electric power injected, three control techniques are used such as: Control by analog PI, Control by Lyapunov theory and Sliding mode control.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114582315","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":"Design And Analysis Of Millimeter-Wave Microstrip Antenna With New FSS Superstrate Structure","authors":"Khedidja Belabbas, D. Khedrouche, A. Hocini","doi":"10.1109/ICASS.2018.8651988","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651988","url":null,"abstract":"In this paper, the characteristics of a microstrip antenna for millimeter-wave applications with Frequency Selective Surface (FSS) as superstrate are studied. The properties of the uni-planar unit cell are presented. The result shows that the proposed unit cell exhibits a pass-band property along 26.5 GHz-30 GHz frequency band and it represents the basic element of 11x11 array, which is applied on a conventional microstrip antenna operating in the same previous frequency band. The directivity of the antenna with FSS screen is improved in the H-plan, the gain is enhanced and it has a stable value ($approx$ 6 dB) along the operating band of the FSS unit cell as compared with the microstrip antenna alone. The High Frequency Structure Simulation (HFSS) software packages are used to design and analyze the proposed structures.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126959245","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":"An Efficient Methodology of Brain Abnormalities Detection using CNN Deep Learning Network","authors":"S. Kebir, S. Mekaoui","doi":"10.1109/ICASS.2018.8652054","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652054","url":null,"abstract":"In this paper, automatic and a supervised MRI Brain abnormalities detection methodology is presented based on a raw brain MRI images using K-Means algorithm and CNN Deep Learning Network. The proposed methodology is based on three main parts. The first part is based on the construction of Deep learning network for BMRI abnormalities detection or classification as normal or abnormal brain using a training database. The second part is the brain component segmentation using K-means algorithm to extract the white and grey matter images. The third part is the brain component classification (grey and white matter) as normal or abnormal cases according to the deep learning network. According to the obtained results of brain abnormalities detection the proposed methodology successfully achieve the detection with 95% accuracy.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129207550","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":"Adaptive Non-linear Diffusion Based Local Binary Pattern for Image Denoising","authors":"Azizi Abdallah, Azizi Zineb","doi":"10.1109/ICASS.2018.8652010","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652010","url":null,"abstract":"Non-linear diffusion approaches are an effective way to reduce noise and preserve the edge information. In this paper, the work is extended to integrate the non-linear diffusion and local binary pattern (LBP) textons, where the diffusivity function is adapted to pixels type after LBP classification. This allows smoothing on homogenous and noisy regions but not on edges. The proposed method preserves edges better because the diffusion is controlled taking into account the difference of diagonal neighbors in addition to four nearest neighbors. Experimental results on synthetic and real images illustrate the effective performance of the proposed method.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390556","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}