2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)最新文献

Preliminary Study Of A Smart Computer System For Scholar Support 学者支持智能计算机系统的初步研究

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875526

Soukaina Nai, Amal Rifai, A. Sadiq, M'hamed Bakrim

引用次数: 0

An improved KPLS-KELM method for breast cancer detection 一种改进的KPLS-KELM方法检测乳腺癌

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875596

Sawssen Bacha, O. Taouali, N. Liouane

引用次数: 0

User Group Profiling through Mobile Application Usage Behavior 通过移动应用程序使用行为分析用户组

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875502

H. Dammak, Oumaima Mejri, Meriem Riahi, Faouzi Moussa

{"title":"User Group Profiling through Mobile Application Usage Behavior","authors":"H. Dammak, Oumaima Mejri, Meriem Riahi, Faouzi Moussa","doi":"10.1109/SETIT54465.2022.9875502","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875502","url":null,"abstract":"Smartphones come pre-loaded with a relatively similar set of applications (abbr. apps) for all users of that particular smartphone brand. They treat users as if they are all part of one big group. This is a simplistic supposition that all smartphone users are alike and have similar usage characteristics. Furthermore, mobile user interfaces are static and do not adapt to the way apps are used. The device maker determines the app icon and app groups on the pre-existing widgets and they stay intact in their current state regardless of the user’s behavior. In this regard, based on app usage behavior, there is a clear need to first identify the groups of user behaviors and then adapt the interface for each user group. In this paper, we propose an ML-based approach to discover users’ group behaviors based on their mobile application usage, with the objective of delivering an appropriate interface adaptation for each user group. To this end, we tested our method on a real dataset that we collected from real users over a one-month period. We discuss in this paper the discovered clusters of users’ behavior and we outline the parties who might benefit from our findings.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133979745","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

Comparative study of mono-pump and multi-pump PV water system and MILP effectiveness in water production improvement 单泵与多泵光伏供水系统的比较研究及MILP改善产水效果的研究

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875804

M. Abidi, A. B. Rhouma, J. Belhadj

引用次数: 0

Implementation and Performance Analysis of Lightweight Block Ciphers for IoT applications using the Contiki Operating system 使用Contiki操作系统的物联网应用轻量级分组密码的实现和性能分析

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875503

Amal Hkiri, Mouna Karmani, Mohsen Machhout

{"title":"Implementation and Performance Analysis of Lightweight Block Ciphers for IoT applications using the Contiki Operating system","authors":"Amal Hkiri, Mouna Karmani, Mohsen Machhout","doi":"10.1109/SETIT54465.2022.9875503","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875503","url":null,"abstract":"Recent years have witnessed impressive advances in technology which led to the rapid growth of the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) using numerous low-powered devices with a huge number of actuators and sensors. These devices gather and exchange data over the internet and generate enormous amounts of data needed to be secured. Although traditional cryptography provides an efficient means of addressing device and communication confidentiality, integrity, and authenticity issues, it may not be appropriate for very resource-constrained systems, particularly for end-nodes such as a simply connected sensor. Thus, there is an ascent need to use lightweight cryptography (LWC) providing the needed level of security with less complexity, area and energy overhead. In this paper, four lightweight cryptographic algorithms called PRESENT, LED, Piccolo, and SPARX were implemented over a Contiki-based IoT operating system, dedicated for IoT platforms, and assessed regarding RAM and ROM usage, power and energy consumption, and CPU cycles number. The Cooja network simulator is used in this study to determine the best lightweight algorithms to use in IoT applications utilizing wireless sensor networks technology.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132277538","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

Impact of Dimensionality Reduction on Sentiment Analysis of Algerian Dialect 降维对阿尔及利亚方言情感分析的影响

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875532

Salima Brachemi-Meftah, F. Barigou, Abdelaziz Djendara, Oussama Zaoui

{"title":"Impact of Dimensionality Reduction on Sentiment Analysis of Algerian Dialect","authors":"Salima Brachemi-Meftah, F. Barigou, Abdelaziz Djendara, Oussama Zaoui","doi":"10.1109/SETIT54465.2022.9875532","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875532","url":null,"abstract":"In Algeria, sentiment analysis for Algerian dialect becomes very important for organizations and companies to track customer feedback, to predict their satisfaction, and to assess their opinions over time. However, identification of sentiments is a challenging task; (i) the Algerian dialect is an informal language without rigorous rules of writing and standardization. It is mainly based on Modern Standard Arabic (MSA) vocabulary, where the majority of the original words are modified both phonologically and morphologically. It is also based on a set of foreign words from Turkish, Spanish and French as well Tamazight. This is called code switching. (ii) Another problem which is obviously present in the Algerian dialect is the fact that a word with one form of pronunciation can be written in several forms. Therefore, our objective is to consider these two issues within the process of sentiment analysis of Algerian dialect. To this end, we propose to examine the impact of dimensionality reduction techniques such as lemmatization, stemming, feature selection and in particular our extended Soundex algorithm on the system performance. We used a supervised machine learning approach without going through a translation step into MSA or transliteration into another target language like French. We compare the performance of five classifiers with and without the use of dimensionality techniques. Results show that feature selection combined with multinomial Naive Bayes classifier gives an F1 score of 83.20% and attribute reduction rate of 82.65%.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134479162","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

Blockchain for WSN and IoT Applications 用于WSN和IoT应用的区块链

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875746

N. Badri, Leila Nasraoui, L. Saidane

引用次数: 1

Proposal of a Methodology for Modeling and Supervision of Mechatronic Systems 机电系统建模与监督方法之建议

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875580

J. B. Salem, M. Lakhoua, M. F. Karoui

引用次数: 0

An Energy Efficient Self Organizing Map Based Clustering Protocol For IoT Networks 基于节能自组织映射的物联网网络聚类协议

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875799

Malha Merah, Z. Aliouat, C. Kara-Mohamed

{"title":"An Energy Efficient Self Organizing Map Based Clustering Protocol For IoT Networks","authors":"Malha Merah, Z. Aliouat, C. Kara-Mohamed","doi":"10.1109/SETIT54465.2022.9875799","DOIUrl":"https://doi.org/10.1109/SETIT54465.2022.9875799","url":null,"abstract":"The clustering technique is an optimal configuration for the Internet of Things (IoT) networks. It offers several benefits, such as energy conservation, latency reduction, and scalability. Meanwhile, energy consumption remains a major concern. In this regard, we introduce a new clustering approach based on the Self-Organizing Map algorithm (SOM), called Energy Efficient SOM (EESOM), conscious of energy consumption with an energy-aware cluster-head (CH) rotation policy that considers the current energy of cluster nodes and their distance from the winning neuron to determine the best CH. The dynamic CH-rotation avoids unbalanced energy consumption for the successive CHs in the cluster and reduces their premature death. When choosing a CH with the minimum distance to the winning neuron, the one with the minimum Euclidean distance to the member nodes will be elected. Consequently, the energy needed by members to send the collected data to their CH is reduced, and the lifetime of the network can be extended. Simulation results indicate that EESOM effectively reduces energy consumption and spreads the network lifespan.","PeriodicalId":126155,"journal":{"name":"2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122040613","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: 5

Artificial Neural Network Based Prediction of the Effect of Temperature and Irradiance on Photovoltaic Current-Voltage Curves 基于人工神经网络的温度和辐照度对光伏电流-电压曲线影响预测

2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT) Pub Date : 2022-05-28 DOI: 10.1109/SETIT54465.2022.9875735

Naoufel Ismail, M. Bouaïcha

引用次数: 0