Proceedings of the 2017 International Conference on Smart Digital Environment最新文献

{"title":"Toward a merged approach for cross-platform applications (web, mobile and desktop)","authors":"E. Ettifouri, Abdelkader Rhouati, Jamal Berrich, T. Bouchentouf","doi":"10.1145/3128128.3128160","DOIUrl":"https://doi.org/10.1145/3128128.3128160","url":null,"abstract":"Several approaches are available to create cross-platform applications. The majority of these approaches focus on purely mobile platforms. Their principle is to develop the application once and be able to deploy it to multiple mobile platforms with different operating systems (Android (Java), IOS (Objective C), Windows Phone 7 (C#), etc.). In this article, we propose a merged approach and cross-platform called ZCA \"ZeroCouplage Approach\". Merged to regroup the strong points of approaches: \"Runtime\", \"Component-Based\" and \"Cloud-Based\" thank to a design pattern which we created and named M2VC (Model-Virtual-View-Controller). Cross-platform allows creating a unique application that is deployable directly on many platforms: Web, Mobile and Desktop. In this article, we also compare our ZCA approach with others to approve its added value. Our idea, contrary to mobile approaches, consists of a given technology to implement cross-platform applications. To validate our approach, we have developed an open source framework named ZCF \"ZeroCouplage Framework\" for Java technology.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777819","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":"Using Markov decision process in cognitive radio networks towards the optimal reward","authors":"Said Lakhal, Z. Guennoun","doi":"10.1145/3128128.3128143","DOIUrl":"https://doi.org/10.1145/3128128.3128143","url":null,"abstract":"The Learning is an indispensable phase in the cognition cycle of cognitive radio network. It corresponds between the executed actions and the estimated rewards. Based on this phase, the agent learns from past experiences to improve his actions in the next interventions. In the literature, there are several methods that treat the artificial learning. Among them, we cite the reinforcement learning that look for the optimal policy, for ensuring the maximum reward. The present work exposes an approach, based on a model of reinforcement learning, namely Markov decision process, to maximize the sum of transfer rates of all secondary users. Such conception defines all notions relative to an environment with finite set of states, including: the agent, all states, the allowed actions with a given state, the obtained reward after the execution of an action and the optimal policy. After the implementation, we remark a correlation between the started policy and the optimal policy, and we improve the performances by referring to a previous work.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133920685","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":"Analyzing breast tumor heterogeneity to predict the response to chemotherapy using 3D MR images registration","authors":"M. Adoui, S. Drisis, M. Benjelloun","doi":"10.1145/3128128.3128137","DOIUrl":"https://doi.org/10.1145/3128128.3128137","url":null,"abstract":"Breast tumor structure is extremely heterogeneous. This heterogeneity changes spatially during chemotherapy treatment. This was correlated with how the tumor reacts to Neoadjuvant chemotherapy (treatment presiding surgery). A significant number of studies adopting Magnetic Resonance Imaging (MRI) have looked into the quantification of intratumor heterogeneity of breast cancer. Nevertheless, a limited number of them are interested chiefly in evaluating breast cancer heterogeneity as index of response to treatment. In this paper, we present a new approach that compares breast tumor heterogeneity degree, using acquired images before and after chemotherapy. The purpose of our study is to help radiologists to predict the effectiveness of Neoadjuvant chemotherapy as soon as possible. Indeed, many patients with breast cancer have a non-responding tumor type to chemotherapy. However, these patients still requiring avoidable chemotherapies during a long time, which causes several undesirable effects. We evaluate our study using a data set constructed by Dynamic Contrast Enhanced (DCE-MRI) and Diffusion Weighed sequences of MRI (DW-MRI), consisting of 64 adult patients. Our approach consists to apply a volumetric registration between images acquired before and after chemotherapy to quantify induced changes on the tumor by the first chemotherapy session. The first step of our approach is to segment the volume of interest (VOI). Then, a coherent volumetric registration will provide to make a voxel by voxel comparison of breast tumor volume. Therefore, The breast tumor response rate to the first chemotherapy session was obtained, by comparing each voxel intensity in DCE-MR and DW-MRI sequences before and after the chemotherapy. This approach will not only provide the breast tumor response degree to chemotherapy, but also monitoring tumor regions that have responded, not responded and tumor regions that have recognized disease progression during chemotherapy session. This will allow radiologists and oncologists to decide if the patient will continue to require chemotherapy, or applying other alternative solutions, without wasting time in unnecessary chemotherapy sessions.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123481850","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":"The EOLES project remote labs across the Mediterranean: an example of a successful experience","authors":"Fahd Ouatik, M. Raoufi, B. Bouikhalene, M. Skouri","doi":"10.1145/3128128.3128152","DOIUrl":"https://doi.org/10.1145/3128128.3128152","url":null,"abstract":"This paper describes the concept, methodology And the results of the advanced step of an EU supported TEMPUS project EOLES (Electronics and Optics e-Learning for Embedded Systems). Our aims combining e-technologies & e-pedagogies to create online undergraduate courses in engineering - an example of a successful experience .The project involves 15 institutions from four European countries and three North African countries. this project as part of the improvement and development of the distance learning system (E-Learning) especially remote laboratories which are new technology allows learners or researchers to create and conduct scientific experiments and deepen their experimental knowledge in a remote lab via the web. For it is necessary for this system of E-Learning to use and respect the educational and pedagogical standards followed in teaching, the performance of this system concerning the speed and precision of interaction with the laboratory. On the other hand, this system must make the work and the tasks easier for the laboratory manager in matters of preparing and managing the access to experiments and manipulation.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121655239","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":"Securing big data and IoT networks in smart cyber-physical environments","authors":"Sajal K. Das, H. Yamana","doi":"10.1145/3128128.3128157","DOIUrl":"https://doi.org/10.1145/3128128.3128157","url":null,"abstract":"This position paper highlights security and privacy issues in smart environments based on cyber-physical systems. It also summarizes some of our recent research activities and projects in this area.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121681326","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":"Cloud-based platform for computer vision applications","authors":"S. Mahmoudi, M. Adoui, Mohammed Amin Belarbi, M. A. Larhmam, Fabian Lecron","doi":"10.1145/3128128.3128158","DOIUrl":"https://doi.org/10.1145/3128128.3128158","url":null,"abstract":"During last years, images and videos have become widely used in many daily applications. Indeed, they can come from cameras, smartphones, social networks of from medical devices. Generally, these images and videos are used for illustrating people or objects (cars, trains, planes, etc.) in many situations such as airports, train stations, public areas, sport events, hospitals, etc. Thus, image and video processing algorithms have got increasing importance, they are required from various computer visions applications such as motion tracking, real time event detection, database (images and videos) indexation and medical computer aided diagnosis methods. In this paper, we propose a cloud platform that integrates the above-mentioned methods, which are generally developed with popular open source image and video processing libraries (OpenCV1, OpenGL2, ITK3, VTK4, etc.). Theses modules are automatically integrated and configured in the cloud application. Thus, the platform users will have access to different computer vision techniques without the need to download, install and configure the corresponding software. Each guest can select the required application, load its data and get the output results in a safe and simple way. The cloud platform can handle the variety of Operating Systems and programming languages (C++, Java, Python, etc.). Experimentations were conducted within two kinds of applications. The first represents medical methods such as image segmentation in MR images, 3D image reconstruction from 2D radiographs, left ventricle segmentation and tracking from 2D echocardiography. The second kind of applications is related to video processing such as face, people and cars tracking, and abnormal event detection in crowd videos.","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936986","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":"Proceedings of the 2017 International Conference on Smart Digital Environment","authors":"","doi":"10.1145/3128128","DOIUrl":"https://doi.org/10.1145/3128128","url":null,"abstract":"","PeriodicalId":362403,"journal":{"name":"Proceedings of the 2017 International Conference on Smart Digital Environment","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122796234","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}