Soukaina Bakhat Kenitar, Marouane Salhaoui, M. Arioua, A. Younes, A. G. Gonzalez
{"title":"Evaluation of the MQTT Protocol Latency over Different Gateways","authors":"Soukaina Bakhat Kenitar, Marouane Salhaoui, M. Arioua, A. Younes, A. G. Gonzalez","doi":"10.1145/3286606.3286864","DOIUrl":"https://doi.org/10.1145/3286606.3286864","url":null,"abstract":"The modern world of information and technology has progressed hugely in the past decade. There is no doubt that internet of things (IoT) technologies have developed gradually and evolved the last ten years in drastic ways. IoT combines the useful to pleasant with is implementation in the industry, it is from this concept comes the idea of the industry 4.0. Managing huge amount of data and its uncertainty is very important challenge in the industry field; accordingly, providing the quality of service is a striking requirement that ensures it is operating accurately. This paper deals with the estimation of latency in transferring data from the field to the Cloud based on lightweight protocol MQTT over different gateways, we implemented the IoT tool Node-RED in the gateway for simulation.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116526783","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":"Usage of watermarking techniques in medical imaging","authors":"A. H. Allaf, M. Kbir","doi":"10.1145/3286606.3286823","DOIUrl":"https://doi.org/10.1145/3286606.3286823","url":null,"abstract":"In this paper, we present the usage of watermarking techniques in medical imaging, and especially for security goals, the watermarking is considered a great solution to protect the personal data of patients during the medical images and telemedicine data exchange. This paper is devised in two parts. The first one is reserved for an overview on image watermarking with a presentation of the most important requirements of watermarking (robustness, imperceptibility and capacity). We offer also the general scheme of watermarking with the two essential phases and different types of attacks. Furthermore, we present a classification of watermarking techniques based on various parameters such as: insertion domain, human perception and detection methods, in the end of the section we display some metrics and benchmarks for analysis the performance of the watermarking technique. The second part is reserved for the usage of watermarking techniques in medical imaging especially for integrity verification, authentication and data hiding, we also discuss a literature review on watermarking techniques for medical image. In addition, we present the concept of telemedicine and telehealth fields and the importance of watermarking in the modern health care.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114742055","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":"An Ontology-based Context-aware IoT Framework for Smart Surveillance","authors":"N. Pahal, Anupama Mallik, S. Chaudhury","doi":"10.1145/3286606.3286846","DOIUrl":"https://doi.org/10.1145/3286606.3286846","url":null,"abstract":"In this paper, we have proposed an ontology-based context-aware framework for providing intelligent services such as smart surveillance, which employ IoT technologies to ensure better quality of life in a smart city. An IoT network such as a smart surveillance system combines the working of Closed-circuit television (CCTV) cameras and various sensors to perform real-time computation for identifying threats and critical situations with the help of valuable context information. This information is perceptual in nature and needs to be converted into higher-level abstractions that can further be used for reasoning to recognize situations. Semantic abstractions for perceptual inputs are possible with the use of a multimedia ontology encoded using Multimedia Web Ontology Language (MOWL) that helps to define concepts, properties and structure of a possible environment. MOWL also allows for a dynamic modeling of real-time situations by employing Dynamic Bayesian networks (DBN), which suits the requirements of a intelligent IoT system. In this paper, we show the application of this framework in a smart surveillance system. Surveillance is enhanced by not only helping to analyze past events, but by predicting dangerous situations for which preventive actions can be taken. In our proposed approach, continuous video stream of data captured by CCTV cameras can be processed on the fly to give real-time alerts to concerned authorities. These alerts can be disseminated using e-mail, text messaging, on-screen alerts and alarms.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133851244","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}
M. E. Khaili, J. Bakkoury, Azeddine Khiat, Abdelkarim Alloubane
{"title":"Crowdsourcing by IoT using LabVIEW for Measuring the Air Quality","authors":"M. E. Khaili, J. Bakkoury, Azeddine Khiat, Abdelkarim Alloubane","doi":"10.1145/3286606.3286837","DOIUrl":"https://doi.org/10.1145/3286606.3286837","url":null,"abstract":"Our challenge has two dimensions: social and technological. We want to solve a serious problem that is assessing the air quality in cities. To inform and sensitize people to the air pollution problem, our project will bring the locals in participatory situation and actor for the improvement of air quality. We hear more and more talk about the Internet of Things, connected objects, or even connected world, or even intelligent home; new concepts that invade the world and enhance our way of life. Internet of Things called the third industrial revolution will profoundly change the lives of people with home automation, health and recreation, energy, distribution and our environment with intelligent cities or transport connected. The collection of information remains a major challenge without the participation of a large group of people or partners. The Crowdsourcing allows obtaining information due to a large group of people by the internet.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"46 48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130033366","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":"Reduce data processing time in NoSQL databases based on Grover's algorithm","authors":"H. Amellal, A. Meslouhi, A. Allati","doi":"10.1145/3286606.3286806","DOIUrl":"https://doi.org/10.1145/3286606.3286806","url":null,"abstract":"In order to reduce data processing time in NoSQL databases, we propose in this paper a quantum approach to extracting information from unstructured databases. In fact, we apply Grover's algorithm instead of classical algorithms to search in NoSQL databases.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129497941","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}
Asmae Lamsaf, M. A. Kerroum, S. Boulaknadel, Y. Fakhri
{"title":"Lines segmentation and word extraction of Arabic handwritten text","authors":"Asmae Lamsaf, M. A. Kerroum, S. Boulaknadel, Y. Fakhri","doi":"10.1145/3286606.3286831","DOIUrl":"https://doi.org/10.1145/3286606.3286831","url":null,"abstract":"Words are often a succession of sub-words (characters, connected components) separated by spaces, in Arabic handwritten its spaces are divided into two types: the first type represents the spaces that separate two connected components of the same word (within-word). the second type are spaces that separate two connected components from two different words(between-words). in our work we designate by the second type. Spaces in Arabic handwriting do not respect any rule because each person has his own style of writing, which increases the difficulty of segmentation between words. The extraction of words based on the classification of spaces detected and extracts between-words spaces to segment the text into words. In this paper, we present a method that aims to compute the threshold for each line, the threshold is not fixed in the document, each line is associated its classification threshold spaces. Before segmenting the text image into words, it is necessary to segment it into lines in order to apply our method to each line of text. To extract the lines, the preprocessing is applied to the text images in order to apply the proposed method for the line segmentation step. Our system is applied on the benchmarking datasets of the Arabic handwriting database for text recognition (AHDB) and the experimental results are very promising as we achieved a success word extraction rate of 87.9%.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124579090","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}
M. E. Harrak, M. E. Yaakoubi, L. Amhiamar, M. Chkouri, A. Asselman
{"title":"A comparison study about Aloha anti-collision algorithms for RFID systems","authors":"M. E. Harrak, M. E. Yaakoubi, L. Amhiamar, M. Chkouri, A. Asselman","doi":"10.1145/3286606.3286780","DOIUrl":"https://doi.org/10.1145/3286606.3286780","url":null,"abstract":"One of the biggest disadvantages of RFID systems is its low radio tag efficiency due to collisions. When several tags try to transfer data to the reader simultaneously, one is in the case of a multiple access. Time should be split between tags which In most proposed anti-collision algorithms, tags reply randomly to time slots chosen by the reader; therefore, it causes the Random Access (RA) and deformed data at the reader side. The purpose of this paper is to comparing the efficiency of several algorithms with MATLAB","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132018386","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":"Semantic Querying Big and Distributed RDF Data","authors":"Lamrani Kaoutar, A. Ghadi, Florent Kunalè Kudagba","doi":"10.1145/3286606.3286859","DOIUrl":"https://doi.org/10.1145/3286606.3286859","url":null,"abstract":"Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request. Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by RDF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous RDF resources marked by the dynamic and scalable nature of their content.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269808","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":"Customer profiling using CEP architecture in a Big Data context","authors":"Z. Elyusufi, Y. Elyusufi, M. Aitkbir","doi":"10.1145/3286606.3286841","DOIUrl":"https://doi.org/10.1145/3286606.3286841","url":null,"abstract":"Today Big Data tools are not just a phenomenon of the massive information collection; they are also the best way to approach a customer target. These technologies allow the profiling of the customers of an organization thanks to the histories of purchases, the products that they consult; the data that they share through the social networks. They also make it possible to anticipate the purchase of actions via behavioral analysis. Therefore, the combination of the power of CRM and the performance of BIG DATA tools brings a great added value for customers profile analysis, especially if it is about events triggered in real time. It is in this context that the present work is positioned. Our goal is to intercept events (customer behaviors) and analyze them in real time. We will use the Complex Events Process (CEP) architecture that perfectly meets this need. In order to successfully implement our CEP architecture, we will use the ontology approach.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123149126","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":"Implementation of Vehicle Occupancy and Aggregate Emission Rate","authors":"Sofiya Chergui, S. Agoujil","doi":"10.1145/3286606.3286842","DOIUrl":"https://doi.org/10.1145/3286606.3286842","url":null,"abstract":"Transportation is considered as one of the most important elements contributing on the ecological degradation due to vehicular emissions, which are related to the highest congestions. This paper studies the relationship between the vehicle occupancy and the aggregate emission rate. Such relation can be exploited as objective functions and/or constraints of optimization problems. The methodology used in this paper consists on considering a homogeneous dynamic road where the traffic is described by the Lighthill Whitham-Richard (LWR) model resolved using a finite differences scheme in space and a Runge Kutta scheme in time, while emissions are calculated using a modal model.","PeriodicalId":416459,"journal":{"name":"Proceedings of the 3rd International Conference on Smart City Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116481030","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}