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2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献

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Sliding Mode Observer of a Two-Agent Microrobotic System 双智能体微机器人系统的滑模观测器
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765830
Meziane Larbi, El-Hadi Guechi, Ahmed Chah, A. Maidi, K. Belharet
{"title":"Sliding Mode Observer of a Two-Agent Microrobotic System","authors":"Meziane Larbi, El-Hadi Guechi, Ahmed Chah, A. Maidi, K. Belharet","doi":"10.1109/IC_ASET53395.2022.9765830","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765830","url":null,"abstract":"In recent years, there has been growing interest in realizing targeted therapies and diagnostics using vascular microrobots. However, until today the observation of multi-microagent systems subject to parametric uncertainties inherent to the microworld is rarely addressed. In this paper, sliding mode state observer is deigned for a two-agent microrobotic system. It assumed that the two-agents operate in close physical proximity to each other under the action of the flow velocity. Simulation results in the presence of environmental disturbances and the viscosity uncertainty shown the efficiency and the satisfactory performances of the studied observer.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"32 1","pages":"268-273"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87143473","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
Genetic-Fuzzy Hybrid Approach for Arrhythmia Classification 心律失常遗传-模糊混合分类方法
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765913
H. Lassoued, R. Ketata
{"title":"Genetic-Fuzzy Hybrid Approach for Arrhythmia Classification","authors":"H. Lassoued, R. Ketata","doi":"10.1109/IC_ASET53395.2022.9765913","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765913","url":null,"abstract":"Cardiac decision support system has become an effective tool for monitoring, classification and prediction of heart diseases. The common purpose of many researches is to improve its performances. In this paper, Genetic-Fuzzy hybrid approach ensuring accuracy is proposed. It is planned to classify ECG signals into five cardiac types, including, the Normal class (N), Paced class (P), Left Bundle Branch Block class (LBBB), Right Bundle Branch Block class (RBBB) and Premature Ventricular Contraction class (PVC). The main purpose deals with the optimization of a fuzzy system. In fact, the Genetic Algorithm (GA) is applied mainly for tuning the membership and rules parameters. The Root Mean Square Error (RMSE) is considered as the cost function. Accordingly, the investigated approach presents efficient accuracy (RMSE = 0.398) when the Fuzzy Inference System (FIS) is of TakagiSugeno (TS) type and the Gaussian membership is selected. The good linguistic interpretation is the power of GeneticFuzzy hybrid approach regarding others in machine learning.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"13 1","pages":"138-142"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87448954","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: 0
Application of Random Forest Method for Estimating Rejected Product in Industrial Conveyor Belt 随机森林方法在工业输送带不合格品估计中的应用
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765883
Hanene Sahli, M. Sayadi
{"title":"Application of Random Forest Method for Estimating Rejected Product in Industrial Conveyor Belt","authors":"Hanene Sahli, M. Sayadi","doi":"10.1109/IC_ASET53395.2022.9765883","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765883","url":null,"abstract":"In most companies, the unloading system still poses a major problem which constitutes repetitive stops of the chain because of cracking at the level of the carriage and the intensive loss of the large quantities of the raw material. This problem can cause a time waste, a high cost and even stopping the production line. This paper presents an enhanced procedure able to achieve relevant classification of weight product in conveyor belt in order to supply quantitative estimation of rejected or not rejected (R/nR) cases. The studied database contains the different weight of both rejected and not-rejected product. The results show that the use of a random forest classifier is an effective way to improve estimation and classification for fast and truthful industrial diagnostic. Compared to other machine learning methods, the proposed method provided a significant performance reaching more than 90% of accuracy.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"52 1","pages":"527-531"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90819119","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: 0
Ephemeral Encoding Message in the Elliptic Curve Cryptography for IoT 物联网椭圆曲线加密中的短暂编码信息
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765938
Sondes Baccouri, Hassene Fatrhat, Nadia Gharbi, Rafaa Tahar, Tarek Azzabi, Pr. Rabah Attia
{"title":"Ephemeral Encoding Message in the Elliptic Curve Cryptography for IoT","authors":"Sondes Baccouri, Hassene Fatrhat, Nadia Gharbi, Rafaa Tahar, Tarek Azzabi, Pr. Rabah Attia","doi":"10.1109/IC_ASET53395.2022.9765938","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765938","url":null,"abstract":"Wireless Sensor Network (WSN) is a network composed of constrained devices which are limited by their energetic autonomy, computing power and storage capacity. Nevertheless WSNs have demonstrated novel research and developmental interests for military applications. In order to protect the WSN, lightweight and robust cryptographic protocols are needed. Various cryptographic systems were proposed, and most of them are based on public-key algorithms. Elliptic Curve El Gamal (ECEG) is one of the most promising, since it offers a strong protection with smaller sizes of keys. To implement an ECEG cryptographic system, we need to encode the message before encryption and decode it after decryption. In this paper, we propose a new encoding method that improves the ones proposed in the literature. Experimental tests were made and the performances of the new methods are provided.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"9 1","pages":"172-177"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81060829","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
Assignment-based heuristic for SDM Networks with Multi-Core Fibers 基于赋值的多芯光纤SDM网络启发式算法
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765950
Mehdi Mrad, Umar S. Suryahatmaja, Abdelrahman Ossama Elsayed, A. Gharbi, M. Esmail
{"title":"Assignment-based heuristic for SDM Networks with Multi-Core Fibers","authors":"Mehdi Mrad, Umar S. Suryahatmaja, Abdelrahman Ossama Elsayed, A. Gharbi, M. Esmail","doi":"10.1109/IC_ASET53395.2022.9765950","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765950","url":null,"abstract":"Due to the ever-increasing demand for the Internet, optical fiber networks are receiving a lot of attention. Elastic Optical Networks (EONs) have a potential future in next-generation high-speed networks due to their increased flexibility and better spectrum management. Moreover, Space-Division Multiplexing (SDM) is used to expand the fiber capacity further. One of the most difficult problems in elastic optical transport networks is the Routing and Spectrum Assignment (RSA). The goal of this study is to create and develop effective algorithm for internet traffic routing in SDM-based Elastic Optical Networks (EONs). The focus of this study is on a problem known as Routing, Spectrum, and Core Allocation (RSCA) for flex-grid SDM networks. Preliminary experimental results demonstrate good performance in terms of time and quality using an assignment-based heuristic.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"11 1","pages":"279-284"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76749918","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
Optimal Power Allocation Based Unlicensed Spectrum Sharing for Cellular Networks 基于非授权频谱共享的蜂窝网络最优功率分配
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765921
Feten Slimeni, N. Fezai, Zied Chtourou, A. Amor
{"title":"Optimal Power Allocation Based Unlicensed Spectrum Sharing for Cellular Networks","authors":"Feten Slimeni, N. Fezai, Zied Chtourou, A. Amor","doi":"10.1109/IC_ASET53395.2022.9765921","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765921","url":null,"abstract":"Following 3G and 4G cellular networks, 5G is already deployed in some countries and 6G is under development looking for higher speed and lower latency. This evolution of wireless industry and mobile users requirements enhance the exploration of new spectral access strategies. Even though, millimeter waves offer promising bandwidth, it suffer from limited range due to high path loss. Therefore, new generations of cellular networks are interested in Sub-6GHz spectrum that has adequate propagation properties and has many bands released for unlicensed access. However, these frequencies are used by the majority of commercial wireless technologies such as WIFI, Bluetooth and 3G/4G cellular networks. Their spectral coexistence with new wireless services over unlicensed bands requires mutual interference control based on controlling the power levels of co-located operators. To address this issue, we present a coexistence solution based on power control enabling maximum cell transmission capacity. We formulate the interaction between two co-located operators as a competitive game. Each operator-user pair tries to maximize its sum transmission capacity over the target channels under maximum power constraint. We develop the analytical expressions of the optimal power allocation vectors, then we keep the base stations playing the game iterations until the convergence to a Nash equilibrium. We provide simulation results proving the performance of the proposed model.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"73 1","pages":"178-182"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77399461","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
Predictive Tool to Overcome Negative Thinking of Employees with Anxiety 克服焦虑员工消极思维的预测工具
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765882
Kalana Gayantha Ananda, Gayashini Shyanka Ratnayake
{"title":"Predictive Tool to Overcome Negative Thinking of Employees with Anxiety","authors":"Kalana Gayantha Ananda, Gayashini Shyanka Ratnayake","doi":"10.1109/IC_ASET53395.2022.9765882","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765882","url":null,"abstract":"Among significant portion of the population, anxiety disorder can be considered as the most prominent psychological condition. Anxiety may limit many people's activities and make it difficult for them to enjoy their lives. An increase in negative thoughts would raise people's fear and worry, which potentially leading to anxiety disorder. The number of remote workers has risen as a result of the pandemic situation. A considerable number of employees are faced with anxious thoughts because of the workplace isolation. This was proved by a pilot study done among 102 employees in Sri Lanka. The proposed solution is a mobile application that employees can use to diagnose the anxiety level using machine learning and support to overcome their negative thinking behavior, through cognitive behavioral therapy exercises by allowing them to do self-improvement activities. The visually represented dashboard can monitor the positive thinking improvement of the user.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"25 1","pages":"381-386"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77642942","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: 0
Milk collection network design: location and configuration of small milk collection 集奶网络设计:小集奶的位置和配置
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765946
Chaima Benabdallah, A. E. Amraoui, A. Frikha, F. Delmotte
{"title":"Milk collection network design: location and configuration of small milk collection","authors":"Chaima Benabdallah, A. E. Amraoui, A. Frikha, F. Delmotte","doi":"10.1109/IC_ASET53395.2022.9765946","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765946","url":null,"abstract":"In developing countries, production is dominated by small farmers with limited resources such as inadequate storage, transportation and finance. Furthermore, the presence of many intermediaries between farmers and final consumers reduce the margins realised by the small farmers and force them to sell their product with lower price. All the above factors lead to food loss waste (FLW) at the farm level. For instance, in Tunisia, the amount of collected and industrialized raw milk presents 60% of total produced quantity. In addition, the rejected amount of milk is estimated to 18% of collected quantity, which correspond to 30% of produced amount, especially during the hot season. These challenges faced by the small farmers’ highlight the necessity for implementing resilient strategy to eliminate waste and improve logistic operation efficiency. In this context, we propose a location and configuration of small collection centers network by developing a door-to-door methodology to improve the milk collection activity. A mixed integer linear programming (MILP) was developed to design a strategic and tactical decisions. A real case study is proposed on the region of Sfax (Tunisia)with various scenarios of production. The proposed model gives an efficient solution for minimizing the milk loss and waste.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"22 1","pages":"121-126"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75732664","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: 0
Sun Sensor Design for Full Field of View Coverage 全视场覆盖的太阳传感器设计
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765945
Akram ADNANE, M. Cheriet, Elhassen Benfriha, A. Bellar, Mohammed Arezki Si Mohammed, Y. Kebbati
{"title":"Sun Sensor Design for Full Field of View Coverage","authors":"Akram ADNANE, M. Cheriet, Elhassen Benfriha, A. Bellar, Mohammed Arezki Si Mohammed, Y. Kebbati","doi":"10.1109/IC_ASET53395.2022.9765945","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765945","url":null,"abstract":"Sun sensors instrument measure the direction of the sun relative to the spacecraft by converting the amount of light energy into an electrical measurement. In this paper, we present a novel geometry, called 3D shape, of sun sensor array that contains three structures: pyramidal structure in the top, cube structure in the middle and inverted pyramidal structure in the bottom. In fact, our aim is to achieve the field of view of sun sensor by selecting an appropriate tilt angle of the Ambient Light Sensors (ALS). To validate our 3D shape, we have developed a mathematical model allowing calculus of solar vector orientation in the sun sensor coordinates. Simulation results show the advantages of the proposed configuration compared with, well used, regular pyramidal shape.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"25 1","pages":"85-90"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74000169","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
EMG Signal Classification for Human Hand Rehabilitation via Two Machine Learning Techniques: kNN and SVM 基于kNN和SVM两种机器学习技术的手部康复肌电信号分类
2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2022-03-22 DOI: 10.1109/IC_ASET53395.2022.9765856
Sami Briouza, H. Gritli, N. Khraief, S. Belghith, Dilbag Singh
{"title":"EMG Signal Classification for Human Hand Rehabilitation via Two Machine Learning Techniques: kNN and SVM","authors":"Sami Briouza, H. Gritli, N. Khraief, S. Belghith, Dilbag Singh","doi":"10.1109/IC_ASET53395.2022.9765856","DOIUrl":"https://doi.org/10.1109/IC_ASET53395.2022.9765856","url":null,"abstract":"In the last few years, electromyography (EMG) has shown a lot of potential in therapy and rehabilitation applications of the human limbs though exoskeletons and prosthesis. The use of Machine Learning (ML) techniques has made huge contributions to biomedical signals classification. Many ML methods have been adopted and the results were very promising. In this paper, we choose two different ML classifiers: the k-Nearest Neighbors (kNN) and the Support Vector Machine (SVM). The main goal is to compare their performance using different combinations of time-domain features. This crucial strategy allows to choose the adequate features in order to obtain good model performance. The experimental results demonstrate that the SVM classifier is more efficient where it gives a higher accuracy compared to the kNN technique.","PeriodicalId":6874,"journal":{"name":"2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"21 1","pages":"412-417"},"PeriodicalIF":0.0,"publicationDate":"2022-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76574587","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: 6
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