Vehicle detection applications play an important role in the reduction of the number of road accidents. In the same vein, this paper tends to summarize the recent advances in vehicle detection approaches. Both the approaches based on motion and those based on appearance are dealt with. Also, the challenges and limitations of using handcraft features are discussed. Moreover, we compare different approaches cited as new perspectives in object detection. The experiments performed using two videos illustrate the robustness of the approach based on deep learning with specialization of the generic detector to a specific scene.
{"title":"Vehicle detection on a video traffic scene: Review and new perspectives","authors":"S. Gazzah, A. Mhalla, Najoua Essoukri Ben Amara","doi":"10.1109/DT.2017.8012146","DOIUrl":"https://doi.org/10.1109/DT.2017.8012146","url":null,"abstract":"Vehicle detection applications play an important role in the reduction of the number of road accidents. In the same vein, this paper tends to summarize the recent advances in vehicle detection approaches. Both the approaches based on motion and those based on appearance are dealt with. Also, the challenges and limitations of using handcraft features are discussed. Moreover, we compare different approaches cited as new perspectives in object detection. The experiments performed using two videos illustrate the robustness of the approach based on deep learning with specialization of the generic detector to a specific scene.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126136286","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}
In addition to identifying safety deficiencies evidenced by accidents, the independent investigative body makes recommendations to eliminate or reduce these deficiencies. Its main purpose is to advance transportation safety by conducting investigations of accidents in rail and other modes of transportation. He must answer several questions: what happened, why did it happen, and what can be done to reduce the risk of it happening again? In this process, one of the difficulties involved is finding abnormal accident scenarios which are capable of generating a specific hazard. This paper proposes an original method based on machine learning to assist investigators experts in their crucial task of analysis and assessment of the safety for railway transport systems in France. This contribution is based on the use of artificial intelligence techniques and has involved the development of several approaches and tools which assist in the modeling, storage and assessment of knowledge about safety. The proposed approach has two objectives, firstly to record and store experience concerning safety analyses, and secondly to assist those involved in the development and assessment of the systems in the demanding task of evaluating safety studies.
{"title":"Machine learning from experience feedback on accidents in transport","authors":"Habib Hadj-Mabrouk","doi":"10.1109/DT.2017.8012108","DOIUrl":"https://doi.org/10.1109/DT.2017.8012108","url":null,"abstract":"In addition to identifying safety deficiencies evidenced by accidents, the independent investigative body makes recommendations to eliminate or reduce these deficiencies. Its main purpose is to advance transportation safety by conducting investigations of accidents in rail and other modes of transportation. He must answer several questions: what happened, why did it happen, and what can be done to reduce the risk of it happening again? In this process, one of the difficulties involved is finding abnormal accident scenarios which are capable of generating a specific hazard. This paper proposes an original method based on machine learning to assist investigators experts in their crucial task of analysis and assessment of the safety for railway transport systems in France. This contribution is based on the use of artificial intelligence techniques and has involved the development of several approaches and tools which assist in the modeling, storage and assessment of knowledge about safety. The proposed approach has two objectives, firstly to record and store experience concerning safety analyses, and secondly to assist those involved in the development and assessment of the systems in the demanding task of evaluating safety studies.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121143962","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}
This paper proposes a fuzzy gain-scheduled Proportional Integral (PI) and second order sliding mode based control strategy of a two-levels and three-phase Voltage Source Converter (VSC) to adjust its DC-link voltage to constant level and to achieve unity power factor operation. The proposed control scheme has a cascade configuration which consists of an inner current loop based on a Second-Order Sliding Mode (SOSM) controller designed thanks to the known Super-Twisting Algorithm (STA). An outer voltage loop, based on a fuzzy gain scheduled PI algorithm, is investigated for the DC-link voltage dynamics regulation. Several demonstrative simulations are carried out and show the effectiveness and the robustness of the proposed control approach under the load variations.
{"title":"Modeling and control of an AC-DC voltage source converter based on sliding mode and fuzzy gain-scheduling approaches","authors":"Mohammed Mazen Alhato, S. Bouallègue, M. Ayadi","doi":"10.1109/DT.2017.8012123","DOIUrl":"https://doi.org/10.1109/DT.2017.8012123","url":null,"abstract":"This paper proposes a fuzzy gain-scheduled Proportional Integral (PI) and second order sliding mode based control strategy of a two-levels and three-phase Voltage Source Converter (VSC) to adjust its DC-link voltage to constant level and to achieve unity power factor operation. The proposed control scheme has a cascade configuration which consists of an inner current loop based on a Second-Order Sliding Mode (SOSM) controller designed thanks to the known Super-Twisting Algorithm (STA). An outer voltage loop, based on a fuzzy gain scheduled PI algorithm, is investigated for the DC-link voltage dynamics regulation. Several demonstrative simulations are carried out and show the effectiveness and the robustness of the proposed control approach under the load variations.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133092764","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}
This paper presents a low voltage low power analogue voltage mode four quadrant multiplier circuit using only two second generation current conveyor circuits (CCII) and two NMOS transistors operating in ohmic region. This circuit is characterized by ± 0.25 V dynamic ranges with a low total harmonic distortion (THD) around to 0.021 %, wide bandwidth (2.67 GHz) and low power consumption of about 0.43 mW. Tspice simulations using 0.18 µm CMOS TSMC parameters are performed to confirm the workability of CCII circuit and voltage mode multiplier structure.
{"title":"High performance low voltage low power voltage mode analog multiplier circuit","authors":"T. Ettaghzouti, N. Hassen, K. Besbes","doi":"10.1109/DT.2017.8012160","DOIUrl":"https://doi.org/10.1109/DT.2017.8012160","url":null,"abstract":"This paper presents a low voltage low power analogue voltage mode four quadrant multiplier circuit using only two second generation current conveyor circuits (CCII) and two NMOS transistors operating in ohmic region. This circuit is characterized by ± 0.25 V dynamic ranges with a low total harmonic distortion (THD) around to 0.021 %, wide bandwidth (2.67 GHz) and low power consumption of about 0.43 mW. Tspice simulations using 0.18 µm CMOS TSMC parameters are performed to confirm the workability of CCII circuit and voltage mode multiplier structure.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109922","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}
D. Mukhamedshin, A. Galieva, O. Nevzorova, R. Gataullin
There are several well-known corpus management systems (Sketch Engine, Manatee, EXMARaLDA, etc.). The system presented in this article has search functionalities comparable to those. However, it also takes into account certain specifics of Turkic languages.
{"title":"Corpus management system: Semantic aspects of representation and processing of search queries","authors":"D. Mukhamedshin, A. Galieva, O. Nevzorova, R. Gataullin","doi":"10.1109/DT.2017.8012115","DOIUrl":"https://doi.org/10.1109/DT.2017.8012115","url":null,"abstract":"There are several well-known corpus management systems (Sketch Engine, Manatee, EXMARaLDA, etc.). The system presented in this article has search functionalities comparable to those. However, it also takes into account certain specifics of Turkic languages.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114226612","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}
Mohamed Wajih Guerfala, Amel Sifaoui, A. Abdelkrim
Clustering is the organization of a set of data in homogeneous classes. It aims to classify the representation of the initial data. The automatic classification recovers all the methods allowing the automatic construction of such groups. This paper describes how to classify data using a new design of neural classifiers with radial basis function (RBF) based on a new algorithm for characterizing the hidden layer structure. This algorithm, called k-means Euclidean distance, groups the training data class by class in order to calculate the optimal number of clusters of the hidden layer, using the Mean Squared Error. To initialize the initial clusters of k-means algorithm, we have used the method of logarithmic spiral golden angle. Two examples of data sets are considered to improve the efficiency of the proposed approach and the obtained results are compared with basic literature classifier.
{"title":"Data classification using logarithmic spiral method based on RBF classifiers","authors":"Mohamed Wajih Guerfala, Amel Sifaoui, A. Abdelkrim","doi":"10.1109/DT.2017.8012140","DOIUrl":"https://doi.org/10.1109/DT.2017.8012140","url":null,"abstract":"Clustering is the organization of a set of data in homogeneous classes. It aims to classify the representation of the initial data. The automatic classification recovers all the methods allowing the automatic construction of such groups. This paper describes how to classify data using a new design of neural classifiers with radial basis function (RBF) based on a new algorithm for characterizing the hidden layer structure. This algorithm, called k-means Euclidean distance, groups the training data class by class in order to calculate the optimal number of clusters of the hidden layer, using the Mean Squared Error. To initialize the initial clusters of k-means algorithm, we have used the method of logarithmic spiral golden angle. Two examples of data sets are considered to improve the efficiency of the proposed approach and the obtained results are compared with basic literature classifier.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123488265","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}
Because of switching conditions, the SiC MOSFET (Silicon Carbide MOSFET) always remains a critical device in static converters. Its reliability is still a challenge which requires more investigation. This paper studies the accelerated aging effect on the conducted electromagnetic-interference evolution in the N Channel SiC MOSFETs. Simulations are carried out by modifying parameters of the SiC transistor. This modification emulates the aging of the SiC MOSFET used in the buck converter circuit (chopper series type). The conducted electromagnetic-interference evolution is analyzed and presented before and after aging tests in common and differential mode voltages.
{"title":"Simulation of conducted EMI in SiC MOSFET buck converters before and after aging","authors":"Shawki Douzi, M. Tlig, J. Ben Hadj Slama, M. Kadi","doi":"10.1109/DT.2017.8012095","DOIUrl":"https://doi.org/10.1109/DT.2017.8012095","url":null,"abstract":"Because of switching conditions, the SiC MOSFET (Silicon Carbide MOSFET) always remains a critical device in static converters. Its reliability is still a challenge which requires more investigation. This paper studies the accelerated aging effect on the conducted electromagnetic-interference evolution in the N Channel SiC MOSFETs. Simulations are carried out by modifying parameters of the SiC transistor. This modification emulates the aging of the SiC MOSFET used in the buck converter circuit (chopper series type). The conducted electromagnetic-interference evolution is analyzed and presented before and after aging tests in common and differential mode voltages.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124823290","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}
Social networks are dynamic topologies with a set of nodes playing a significant role in the information flow transmission within the network. The appearance of new links in the network may change the role of nodes and conduct to a rapid information flow. For example an individual may belong to an online social network and a friendship network. The relationships between individuals in the mobile social network may not be reflected in the friendship one. We have confidence that overlapping networks with several kinds of interactions provide a fast propagation of information and helps to identify critical and/or non-critical nodes. This article aims to extend our previous work by injecting the perspective communities from a mobile social network from a sequence of time windows in a friendship social network. Centrality and distance measures were applied to validate the impact of perspectives communities on the quality of information flow.
{"title":"The impact of perspective communities on information flow in social networks","authors":"Loubna Boujlaleb, A. Idarrou, D. Mammass","doi":"10.1109/DT.2017.8012097","DOIUrl":"https://doi.org/10.1109/DT.2017.8012097","url":null,"abstract":"Social networks are dynamic topologies with a set of nodes playing a significant role in the information flow transmission within the network. The appearance of new links in the network may change the role of nodes and conduct to a rapid information flow. For example an individual may belong to an online social network and a friendship network. The relationships between individuals in the mobile social network may not be reflected in the friendship one. We have confidence that overlapping networks with several kinds of interactions provide a fast propagation of information and helps to identify critical and/or non-critical nodes. This article aims to extend our previous work by injecting the perspective communities from a mobile social network from a sequence of time windows in a friendship social network. Centrality and distance measures were applied to validate the impact of perspectives communities on the quality of information flow.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129383924","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}
We modeled in this paper the variation of wind speed as a renewable energy in Mediterranean Sea of Libya (North of Africa) using an artificial neural network (ANN). We developed multi-layer, feed-forward, back-propagation artificial neural networks for prediction monthly mean wind speed. The monthly mean wind speed data of 25 cities in Libya were monitored during the period of six years from 2010 to 2015. Meteorological (mean temperature, relative humidity and mean sunshine duration) and geographical data (latitude, longitude and altitude) are used as the inputs and the wind speed is used as the output of the ANN. The experimental results show that the correlation coefficients between the predicted and measured wind speeds for training data sets are higher than 0.99. Therefore, the ANN model can be used with high prediction accuracy at locations where wind speed data are not measured.
{"title":"An application of artificial neural networks to assessment of the wind energy potential in Libya","authors":"H. Kutucu, Ayad Almryad","doi":"10.1109/DT.2017.8012138","DOIUrl":"https://doi.org/10.1109/DT.2017.8012138","url":null,"abstract":"We modeled in this paper the variation of wind speed as a renewable energy in Mediterranean Sea of Libya (North of Africa) using an artificial neural network (ANN). We developed multi-layer, feed-forward, back-propagation artificial neural networks for prediction monthly mean wind speed. The monthly mean wind speed data of 25 cities in Libya were monitored during the period of six years from 2010 to 2015. Meteorological (mean temperature, relative humidity and mean sunshine duration) and geographical data (latitude, longitude and altitude) are used as the inputs and the wind speed is used as the output of the ANN. The experimental results show that the correlation coefficients between the predicted and measured wind speeds for training data sets are higher than 0.99. Therefore, the ANN model can be used with high prediction accuracy at locations where wind speed data are not measured.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116326637","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}
The aims of this paper is to make a contribution to study the electromagnetic compatibility aspects of photovoltaic systems. We propose to analyze the electromagnetic emissions and noise radiated from the photovoltaic panels as well as to study the effect of these disturbances adjacent to the electrical installations. The first step of this approach is measurement of electromagnetic near field above the panel to get an idea on areas where the field is intense. In the second step, we used a simulation tool FEKO to model the photovoltaic cells and to calculate the radiated electromagnetic near field. Finally, the validity of the proposed model is demonstrated by comparing measured and simulated results.
{"title":"Study of the electromagnetic near field radiated by the photovoltaic cells","authors":"S. Saidi, Houssem Bhiri, J. Ben Hadj Slama","doi":"10.1109/DT.2017.8012131","DOIUrl":"https://doi.org/10.1109/DT.2017.8012131","url":null,"abstract":"The aims of this paper is to make a contribution to study the electromagnetic compatibility aspects of photovoltaic systems. We propose to analyze the electromagnetic emissions and noise radiated from the photovoltaic panels as well as to study the effect of these disturbances adjacent to the electrical installations. The first step of this approach is measurement of electromagnetic near field above the panel to get an idea on areas where the field is intense. In the second step, we used a simulation tool FEKO to model the photovoltaic cells and to calculate the radiated electromagnetic near field. Finally, the validity of the proposed model is demonstrated by comparing measured and simulated results.","PeriodicalId":426951,"journal":{"name":"2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134548943","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：