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Swarm reinforcement learning for traffic signal control based on cooperative multi-agent framework 基于协同多智能体框架的交通信号控制群体强化学习
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105536
Mohammed Tahifa, J. Boumhidi, Ali Yahyaouy
{"title":"Swarm reinforcement learning for traffic signal control based on cooperative multi-agent framework","authors":"Mohammed Tahifa, J. Boumhidi, Ali Yahyaouy","doi":"10.1109/ISACV.2015.7105536","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105536","url":null,"abstract":"Congestion, accidents, pollution, and many other problems resulting from urban traffic are present every day in most cities around the world. The growing number of traffic lights in intersections needs efficient control, and hence, automatic systems are essential nowadays for optimally tackling this task. Agent based technologies and reinforcements learning are largely used for modelling and controlling intelligent transportation systems, where agents represent a traffic signal controller. Each agent learns to achieve its goal through many episodes. With a complicated learning problem, it may take much computation time to acquire the optimal policy. In this paper, we use a population based methods such as particle swarm optimization to be able to find rapidly the global optimal solution for multimodal functions with wide solution space. Agents learn through not only on their respective experiences, but also by exchanging information among them, simulation results show that the swarm Q-learning surpass the simple Q-learning causing less average delay time and higher flow rate.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127427574","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}
引用次数: 20
Performance evaluation of multi-criteria vertical handover for heterogeneous wireless networks 异构无线网络多准则垂直切换性能评价
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106165
Maroua Drissi, M. Oumsis
{"title":"Performance evaluation of multi-criteria vertical handover for heterogeneous wireless networks","authors":"Maroua Drissi, M. Oumsis","doi":"10.1109/ISACV.2015.7106165","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106165","url":null,"abstract":"Always Best Connected (ABC) concept allows the best connectivity to mobile users anywhere at any time in heterogeneous network environment. To answer its requirement, Network selection techniques play a considered role in providing the best QoS in such environment. In this paper authors study the use of Multiple Attribute Decision Making (MADM) used to choose the best network from available networks. Authors compare handover decision algorithms: MEW (Multiplicative Exponent Weighting), SAW (Simple Additive Weighting) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) in terms of end-to-end delay and packet loss using Two available networks WLAN and Wimax in NS-3. All algorithms allow different attributes (e.g., bandwidth, delay, Jitter and Bite Error rate) to be included in the simulation.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125581677","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}
引用次数: 25
Securing the architecture of the JPEG compression by an dynamic encryption 通过动态加密保护JPEG压缩的体系结构
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106192
Faiq Gmira, Said Hraoui, A. Saaidi, A. Oulidi, K. Satori
{"title":"Securing the architecture of the JPEG compression by an dynamic encryption","authors":"Faiq Gmira, Said Hraoui, A. Saaidi, A. Oulidi, K. Satori","doi":"10.1109/ISACV.2015.7106192","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106192","url":null,"abstract":"In this article, we investigate image security for transmission in digital networks using a hybrid coding based on juxtaposed encryption and compression. We have proposed a new approach that integrates a dynamic Hill-Cipher encryption added to the step of quantizing of JPEG compression. A step by step demonstration is given in order to show the functioning of the crypto compression scheme constructed. This explanation justifies how to strategically integrate different operations of our crypto compression system. The effectiveness and robustness of our scheme is validated by measuring its security strength, its computational cost and the quality of reconstructed images (PSNR). The results showed that our new idea by both its generic fast encryption and its simple adaptation provides a reasonable complexity and a good compromise between security and compression rate, this crypto compression scheme is efficient and recommended for networks with low bandwidth especially for low-power devices.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121882552","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}
引用次数: 10
Learning analytics system for assessing students' performance quality and text mining in online communication 在线交流中学生学习质量评估与文本挖掘的学习分析系统
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105544
Yahya Al-Ashmoery, R. Messoussi
{"title":"Learning analytics system for assessing students' performance quality and text mining in online communication","authors":"Yahya Al-Ashmoery, R. Messoussi","doi":"10.1109/ISACV.2015.7105544","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105544","url":null,"abstract":"A challenging and demanding task for the teachers and researchers in e-learning environments is the assessment of students' performance. This paper is to present a new Learning analytics system for Learning Management Systems (LMS), that will aid and support teachers and researchers to understand and analyze interaction patterns and knowledge construction of the participants involved in ongoing online interactions. It is seamlessly integrated into Moodle. Learning Management Systems (LMS) does not include analytics tool for comprehensive audit logs of students' activities and log analysis capabilities interactions, also lack of good evaluation of participatory level and support for assessment of students' performance quality on LMS. Semantic similarity measures of text play an increasingly important role in text related research and applications in tasks such as text mining, web page retrieval, and dialogue systems. Existing methods for computing sentence similarity have been adopted from approaches used for Messages texts in LMS. The system enables one to measure semantic similarity between texts exchanged during communication sessions, in order to find out the degree of coherence in a discussion tread. It is given as a value of relevance in numerical format.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122614771","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}
引用次数: 11
Improved filter algorithm using inequality fano to select bands for HSI classification 改进了用不等式法选择HSI分类频带的滤波算法
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106170
M. Merzouqi, H. Nhaila, E. Sarhrouni, A. Hammouch
{"title":"Improved filter algorithm using inequality fano to select bands for HSI classification","authors":"M. Merzouqi, H. Nhaila, E. Sarhrouni, A. Hammouch","doi":"10.1109/ISACV.2015.7106170","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106170","url":null,"abstract":"Hyperspectral imagery (HSI) is a remote sensing tool that precisely serves to define the classification of the regions. In fact, the coverage of several images of the ground truth, which provide relevant information, but some of them are influenced by atmospheric noise, and others contain a redundant information. To reduce the dimensionality of Hyperspectral Images, numerous studies using mutual information (MI) also the normalized Mutual information based heuristic to select the appropriate bands for the classification of HSI. Here we expect some methods present a filter strategy based on the measure of (MI), also there is wrapper strategies with error probability, the latter is more efficient than filter strategy, but more expensive. In this paper we will introduce a filter strategy with the error probability measure in order to have more precision in the selections bands with an optimal manner. This method can improve the filter strategy performance. The studies are conducted using HSI AVIRIC92AV3C.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125627584","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}
引用次数: 2
A low power 6-bit current-steering DAC in 0.18-μm CMOS process 低功耗6位电流导向DAC，采用0.18 μm CMOS工艺
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106175
Mostafa Chakir, Hicham Akhamal, H. Qjidaa
{"title":"A low power 6-bit current-steering DAC in 0.18-μm CMOS process","authors":"Mostafa Chakir, Hicham Akhamal, H. Qjidaa","doi":"10.1109/ISACV.2015.7106175","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106175","url":null,"abstract":"In our work we are interested in the design of a new architecture of Current-steering DAC Converter a 6bits, operates at 300MHz sampling rate and 1.8V supply voltage, implemented in 0.18um CMOS technology for Ultra-wideband (UWB) transceivers. This work achieves the static differential non-linearity errors (DNL) and integral non linearity errors (INL) are between 0.0583/-0.0600 LSB and 0.0397/-0.1142 LSB, respectively. The spurious free dynamic range (SFDR) at 300-MSPS remains above 60.60dB for input frequency up to 100 MHz. The Total power dissipation is 944.64 uW with 1.8V power supply. The surface of the DAC is 0.006 mm2.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114814788","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}
引用次数: 9
Intelligentocular artifacts removal in a noninvasive singlechannel EEG recording 无创单通道脑电图记录中智能伪影的去除
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106164
A. Zammouri, Abdelaziz Aitmoussa, SyIvain Chevallier, É. Monacelli
{"title":"Intelligentocular artifacts removal in a noninvasive singlechannel EEG recording","authors":"A. Zammouri, Abdelaziz Aitmoussa, SyIvain Chevallier, É. Monacelli","doi":"10.1109/ISACV.2015.7106164","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106164","url":null,"abstract":"Muscle noises, line noises and eye movements are the main interferences that make difficulties when interpreting and analyzing electroencephalographic signals. Many methods have been proposed for artifacts removing from EEG measurements, and especially those arising from an ocular source. Principal Component Analysis (PCA) and Independent Component Analysis (ICA) have been proposed to remove ocular artifacts from multichannel EEG. In contrast to this, we present a new algorithm for ocular artifacts removal from a single electroencephalographic channel recording. This method is based on a set of information on brain wave frequencies. Our results on EEG data, collected from healthy subjects, show that our algorithm can effectively detect and remove ocular artifacts in EEG recordings.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132120831","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}
引用次数: 4
A new approach to build a geographical taxonomy of adjacency automatically using the latent semantic indexing method 提出了一种利用潜在语义索引自动建立地理邻接分类的新方法
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7105551
Omar El Midaoui, A. El Qadi, M. D. Rahmani, D. Aboutajdine
{"title":"A new approach to build a geographical taxonomy of adjacency automatically using the latent semantic indexing method","authors":"Omar El Midaoui, A. El Qadi, M. D. Rahmani, D. Aboutajdine","doi":"10.1109/ISACV.2015.7105551","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7105551","url":null,"abstract":"In this paper, we introduce an approach for constructing a geographical taxonomy of adjacency for a country, to be used in reformulating spatial queries. The proposed approach uses the best-ranked documents retrieved by the search engine while submitting the spatial entity composed of a spatial relationship and a noun of a city A. Then, apply to it the Latent Semantic Indexing method to found the nearest cities Bi to A, and proceed to a step of validation of each link by verifying if A is also found in the results of the cities Bi. In our experiments, we constructed a geographical taxonomy of adjacency for Morocco. We varied the spatial relationship used in the step of documents retrieving to compare the results of the different spatial relationships, and we used google web services as a search engine to compare the results returned in every case. Then we used the constructed taxonomy in geographical query reformulation. We have used the Un-interpolated Average Precision (UAP) to compare the returned documents before and after reformulation. According to our results, we note that reformulating geographical queries based on our built taxonomy improves widely the precision of the queries.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128893824","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}
引用次数: 4
Image restoration by applying the genetic approach to the iterative Wiener filter 将遗传方法应用于迭代维纳滤波器的图像恢复
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106193
Fouad Aouinti, M. Nasri, Mimoun Moussaoui, B. Bouali
{"title":"Image restoration by applying the genetic approach to the iterative Wiener filter","authors":"Fouad Aouinti, M. Nasri, Mimoun Moussaoui, B. Bouali","doi":"10.1109/ISACV.2015.7106193","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106193","url":null,"abstract":"The image restoration method entitled Wiener de-convolution intervenes to improve the quality of images subjected to the degradation effects of both blur and noise. The effectiveness whose this method has demonstrated in this kind of situations, obviously depends on the regularization term that has a direct impact on the expected result. This regularization term requires a priori knowledge of the power spectral density of the original image that is rarely accessible, hence the estimation of approximate values can affect the image quality. An amelioration has been brought to this method, which consists to iterate the Wiener filter to estimate the power spectral density of the original image. The optimization of the iteration count of the iterative Wiener filter by genetic approach leads to the better result.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117090304","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}
引用次数: 1
A design of power management for passive UHF RFID tag in 90nm CMOS process 基于90nm CMOS工艺的无源超高频RFID标签电源管理设计
2015 Intelligent Systems and Computer Vision (ISCV) Pub Date : 2015-03-25 DOI: 10.1109/ISACV.2015.7106189
Smail Hassouni, H. Qjidaa
{"title":"A design of power management for passive UHF RFID tag in 90nm CMOS process","authors":"Smail Hassouni, H. Qjidaa","doi":"10.1109/ISACV.2015.7106189","DOIUrl":"https://doi.org/10.1109/ISACV.2015.7106189","url":null,"abstract":"The design of the power management proposed is one of the key elements in a passive UHF RFID tag, including these diverse operations as a matching network for maximum power delivery, NMOS rectifier, voltage regulation. The proposed power management which gives 16.5% of the power conversion efficiency and a 26m of read range is obtained under conditions of 920Mhz, -22 dBm input power and 1M DC output load. The equations for predicting the performance of the power management are provided and verified by both simulation results in 90 nm CMOS process.","PeriodicalId":426557,"journal":{"name":"2015 Intelligent Systems and Computer Vision (ISCV)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125566530","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}
引用次数: 1
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