{"title":"A language independent approach to multilingual document representation including Arabic","authors":"Souhila Boucham, H. Aliane","doi":"10.1109/AICCSA53542.2021.9686866","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686866","url":null,"abstract":"Arabic language is of increasing interest in the field of Multilingual Information Retrieval (MIR). We deal in this work with the problem of multilingual document representation including Arabic. The proposed approach combines a surface analysis and a Latent Semantic Analysis (LSA) algorithm in a new way to break down the terms of LSA into units which correspond more closely to morphemes. These morphemes are the variable length character N-gram candidates extracted from different fragments separated by borders. The length of the character N-gram candidates is variable because each language has its own properties. This strategy brings an interesting performance for languages such as Arabic in which the words are not explicitly defined and different words are not separated by spaces. The obtained results are encouraging and variability shows that they are perfectible.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127693464","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}
Safa Mathlouthi, Ahmed Ghazi Blaiech, Mourad Said, A. Abdallah, M. H. Bedoui
{"title":"A Novel Deep Learning Model for Knee Cartilage 3D Segmentation","authors":"Safa Mathlouthi, Ahmed Ghazi Blaiech, Mourad Said, A. Abdallah, M. H. Bedoui","doi":"10.1109/AICCSA53542.2021.9686896","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686896","url":null,"abstract":"Over the past few years, osteoarthritis is one of the most common knee diseases. The diagnosis and treatment of this disease is a vital importance. Furthermore, Deep Learning (DL) approaches have shown a good performance in learning the high-level features and in resolving segmentation issues. In this paper, we propose a new model of DL 3D-Res-UNet in order to accurately segment the knee cartilage from a Magnetic Resonance Imaging (MRI) 3D construction that allows perfectly visualizing the anatomical structure of this organ. This model is a combination of an architecture widely known in the literature for its segmentation efficiency (3D-UNet) with a residual architecture (3D-ResNet). The experimental results reveal that the suggested model can stabilize the training model, segment the cartilage from MRI very well and compete with the state of art on multiple performance metrics. The gain of precision and recall with 3DRes-UNet is given up to 15% and 26% compared to 3D-ResNet and 3D-UNet, respectively, hence the effectiveness of the suggested method.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116952101","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}
Seyda Alperen Pehlivan, C. Pehlivan, Cléa Martinez, N. Cellier, F. Fontanili, E. Lamine
{"title":"Performance Evaluation and Statistical Data Analysis of a Call Center for the Deaf Community","authors":"Seyda Alperen Pehlivan, C. Pehlivan, Cléa Martinez, N. Cellier, F. Fontanili, E. Lamine","doi":"10.1109/AICCSA53542.2021.9686901","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686901","url":null,"abstract":"In this study, we address the performance evaluation of a multi-model call center. We provide an in-depth statistical data analysis to understand the dynamics of waiting times, service times and arrivals. Afterwards, we present our methodology on how to better size and schedule the agents in order to maintain a better service quality, namely more efficient utilization of resources and shorter waiting times.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114288683","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}
Alba Fernández-Izquierdo, Andrea Cimmino, R. García-Castro
{"title":"Supporting Demand-Response strategies with the DELTA ontology","authors":"Alba Fernández-Izquierdo, Andrea Cimmino, R. García-Castro","doi":"10.1109/AICCSA53542.2021.9686935","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686935","url":null,"abstract":"The increasing interest of demand response (DR) strategies has fostered the funding of new research projects in Europe. The development of DR in these projects requires a bi-directional data exchange, which revolves around diverse overlapping topics, between infrastructures and providers. As a result, ontologies are required to enable a transparent exchange and consumption of data, ensuring its semantic correctness. Nevertheless, currently, there is no ontology that can be used for such data exchange covering all these topics. In the context of the EU project DELTA, which focuses on DR, an ontology has been developed with the goal of filling the aforementioned lack. This paper describes the approach followed to develop this ontology, specifies its requirements, and also includes a practical example of how to use it.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"377 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115425734","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":"A Comparison of Different Optimization Algorithms for HW/SW Partitioning Using a High-Performance Cluster","authors":"Samah Rahamneh, A. Fong, L. Sawalha","doi":"10.1109/AICCSA53542.2021.9686929","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686929","url":null,"abstract":"Hardware/Software (HW/SW) co-design exploits the synergy between software and hardware to fulfill system design constraints. System designers have utilized diverse optimization algorithms to set boundaries between software and hardware. Discrete Particle Swarm Optimization (DPSO) and Genetic Algorithm (GA) are efficient meta-heuristic algorithms for HW/SW partitioning. However, these algorithms might suffer from premature convergence. Moreover, the accuracy and the speed of convergence of PSO depend on control parameters, which might vary among different applications. In this work, we extended DPSO and GA with distributed greedy local search mechanisms that improve the performance of DPSO and GA. We also tuned the acceleration parameters of DPSO using a neural network. We partitioned real-world applications implemented using OpenCL nd Intel’s Hardware Research Acceleration Program (HARP) infrastructure. The results show that DPSO with tuned parameters improves the accuracy of DPSO by up to 62.8%, and its execution time by up to 29%. On the other hand, local search-based DPSO improves the accuracy of DPSO by up to 55.4%, and the local search-based GA improves the accuracy of GA by up to 82.6%. However, the local search-based technique increases the execution time of the algorithm.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126648224","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":"Bot-IMG: A framework for image-based detection of Android botnets using machine learning","authors":"S. Yerima, A. Bashar","doi":"10.1109/AICCSA53542.2021.9686850","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686850","url":null,"abstract":"To enable more effective mitigation of Android botnets, image-based detection approaches offer great promise. Such image-based or visualization methods provide detection solutions that are less reliant on hand-engineered features which require domain knowledge. In this paper we propose Bot-IMG, a framework for visualization and image-based detection of Android botnets using machine learning. Furthermore, we evaluated the efficacy of Bot-IMG framework using the ISCX botnet dataset. In particular, we implement an image-based detection method using Histogram of Oriented Gradients (HOG) as feature descriptors within the framework, and utilized Autoencoders in conjunction with traditional machine learning classifiers. From the experiments performed, we obtained up to 95.3% classification accuracy using train-test split of 80:20 and 93.1% classification accuracy with 10-fold cross validation.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126530932","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}
Yassine Attaoui, Mohamed Chentouf, Zine El Abidine Alaoui Ismaili, A. E. Mourabit
{"title":"A new MBFF merging strategy for post-placement power optimization of IoT devices.","authors":"Yassine Attaoui, Mohamed Chentouf, Zine El Abidine Alaoui Ismaili, A. E. Mourabit","doi":"10.1109/AICCSA53542.2021.9686857","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686857","url":null,"abstract":"Recently power has become the most important factor in VLSI design. As clock network is the largest design element in terms of power consumption in modern low-power Very Large Scale Integration (VLSI) Designs and IoT applications, several studies have been made in order to reduce the power leaks and unnecessary switching of the clock network. The clock gating, as well as the use of Multibit Flip Flops (MBFFs), are some of the widely used low-power technics.In this paper, we presented a novel approach for power consumption reduction in IoT systems by applying an iterative MBFF insertion. we will make several trials on the use of multi-bit Flip-Flops during each phase of logic Synthesis, Placement, and Optimization. In the first trial, we have measured the impact of MBFF merging on power and circuit performance in several development stages using 2-bits and 4-bits MBFFs. In the second trial, we have combined 2-bits and 4-bits MBFFs and measured the power numbers and circuit’s performance. Finally, we have applied an iterative MBFF merging algorithm and measure the PPA (Power, Performance, and Area) impact versus traditional MBFF implementation.The result of this experiment achieved a better total MBFF merging coverage of 76.6%, a good routability maintenance with less congestion, less wire-length by 3.8% leading to a switching power improvement of around 3.3% with no timing and area degradation.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123469497","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":"Artificial intelligence, gender gap issues and talent","authors":"","doi":"10.1109/aiccsa53542.2021.9686855","DOIUrl":"https://doi.org/10.1109/aiccsa53542.2021.9686855","url":null,"abstract":"","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131332035","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":"Internet of Hyperconnected Things","authors":"","doi":"10.1109/aiccsa53542.2021.9686914","DOIUrl":"https://doi.org/10.1109/aiccsa53542.2021.9686914","url":null,"abstract":"","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"318 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120862986","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}
H. Farsi, Driss Allaki, A. En-Nouaary, Mohamed Dahchour
{"title":"Following Domain Driven Design principles for Microservices decomposition: is it enough?","authors":"H. Farsi, Driss Allaki, A. En-Nouaary, Mohamed Dahchour","doi":"10.1109/AICCSA53542.2021.9686947","DOIUrl":"https://doi.org/10.1109/AICCSA53542.2021.9686947","url":null,"abstract":"Building software using a microservice architecture is a means that gives more options to scale up applications, deploy them independently and limit their \"blast radius\" of failure. Microservices tend to solve the complexity and the increasing development problems by applying the functional decomposition principle. This main feature can become a point of weakness in the absence of a fully credible splitting mechanism. One of the main adopted approaches to design services and deal with the boundary identification concern is the Domain Driven Design (DDD). In this paper, we aim to study the efficiency of this approach. We intend to give software architects a full understanding of its capabilities and main limits to be aware of the potential resulting anti-patterns. To this end, we use graph theory to experiment and analyze a reference example, implementing many microservices good practices and patterns. The obtained results show whether if we can rely only on the DDD principles to decompose microservices, or not.","PeriodicalId":423896,"journal":{"name":"2021 IEEE/ACS 18th International Conference on Computer Systems and Applications (AICCSA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125734822","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}