Journal of ICT Standardization最新文献

{"title":"A Moroccan Sign Language Recognition Algorithm Using a Convolution Neural Network","authors":"Nourdine Herbaz;Hassan El Idrissi;Abdelmajid Badri","doi":"10.13052/jicts2245-800X.1033","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1033","url":null,"abstract":"Gesture recognition is an open phenomenon in computer vision, and one of the topics of current interest. Gesture recognition has many applications in the interpretation of sign language, one is in human-computer interaction, and the other is in immersive game technology. For this reason, we have developed a model of image processing recognition of gestures, based on artificial neural networks, starting from data collection, identification, tracking and classification of gestures, to the display of the obtained results. We propose an approach to contribute to the translation of sign language into voice/text format. In this paper, we present a Moroccan sign language recognition system using a convolutional neural network (CNN). This system includes an important data set of more than 20 files. Each file contains 1000 static images of each signal from several different angles that we collected with a camera. Different sign language models were evaluated and compared with the proposed CNN model. The proposed system achieved an accuracy of 99.33% and achieved best performance with an accuracy rate of 98.7%.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 3","pages":"411-425"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10255395/10255398.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68169374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Semantic Web and Internet of Things: Challenges, Applications and Perspectives","authors":"Fatima Zahra Amara;Mounir Hemam;Meriem Djezzar;Moufida Maimor","doi":"10.13052/jicts2245-800X.1029","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1029","url":null,"abstract":"The apparent growth of the internet of things (IoT) has allowed its deployment in many domains. The IoT devices sense their surroundings and transmit the data via the Web. According to statistics, due to the proliferation of smart devices, the number of active IoT devices is expected to exceed 25.4 billion by 2030.\u0000¹\u0000¹\u0000https://dataprot.net/statistics/iot-statistics/ A large number of IoT objects gather an enormous amount of raw data. The data generated by various IoT objects and sensors are heterogeneous, with varying types and formats. Therefore, it is difficult for IoT systems to share and reuse raw IoT data, which causes the problem of lack of interoperability. The lack of interoperability in IoT systems creates a problematic issue that prevents IoT systems from performing well. To address this issue, data modeling and knowledge representation using semantic web technologies may be an appropriate solution to give meaning to raw IoT data and convert it to an enriched data format. The primary goal of this research section is to highlight the best outcomes for semantic interoperability among IoT systems, which can serve as a guideline for future studies via the presentation of a literature review on semantic interoperability for Internet of Things systems, including challenges, prospects, and recent work. The paper also provides an overview of the application of semantic web technologies in IoT systems, such as specific ontologies, frameworks, and application domains that use semantic technologies in the IoT areas to solve interoperability and heterogeneity problems.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"261-291"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10255413.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Data Profiling and Machine Learning to Identify Influencers from Social Media Platforms","authors":"Bahaa Eddine Elbaghazaoui;Mohamed Amnai;Youssef Fakhri","doi":"10.13052/jicts2245-800X.1026","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1026","url":null,"abstract":"Because of the numerous applications domains in which social media networks can be used, the huge volume of data and information uploaded by them is gaining significant interest. Publishing allows consumers to express their thoughts on products and services. Some feedbacks could also influence other users on those things. Therefore, extracting and identifying influencers from social media networks, also profiling their product perceptions and preferences, is critical for marketers to use efficient viral marketing and recommendation strategies. Our major goal in this research is to find the best machine learning model for characterizing influencers on social media networks. However, to achieve this objective, our strategy revolves around applying the PageRank algorithm to profile influential nodes throughout the social media network graph. The results of our experiment showed that the correlation is always different when adding a new parameter to machine learning models, also to determine the suitable model for our needs. In any event, the experiment outcomes are critical and significant to profiling influencers from social media platforms.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"201-218"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10255427.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"6G Networks Orientation by Quantum Mechanics","authors":"Paulo Sergio Rufino Henrique;Ramjee Prasad","doi":"10.13052/jicts2245-800X.1013","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1013","url":null,"abstract":"Quantum mechanics is a part of physics that studies the interactions of matter, light, and particles at the atomic and subatomic levels. Since its initial concepts in the early 1900s built upon extensive research of Nobel laureates such as Max Planck, Niels Bohr, Albert Einstein, and Richard Feynman, amongst others to the first proposed quantum computers by Paul Benioff in 1980, the concept of quantum technologies has evolved. Two central studies derived from quantum mechanics that can support and revolutionize future wireless technologies are quantum computers and quantum communications. The investigation for building the next generation of wireless networks has begun. Therefore, many technological opportunities for applying innovative solutions and advanced concepts are on the table as an option to unlock the full potential of 6G for providing an intelligent, superfast, and secure network. Having said that, quantum mechanics come into play to offer a breakthrough opportunity that will change the world since the popularization of the Internet, and it will propel 6G use cases to be remarkably successful, but only if quantum physics can be engineered and converged into the forementioned quantum technologies to support the achievement of Society 5.0. Therefore, overcoming the quantum challenges, 6G can benefit in many ways. One of them is Quantum computing (QC) that will surpass the computational capabilities of classic computers limited by binary transactions known as bits to resolve future challenges using quantum states to process information in quantum bits (Qubits). Correspondingly, quantum computing will merge with Artificial Intelligence (AI) to create a new model known as Quantum Machine Learning (QML) to deal with the exponential growth of Big Data faster than any existing computational model. In Addition, quantum communications will deliver a safer network, utilizing Quantum Key Distribution (QKD) and inaugurate the next generation of the Internet, much safer for all. Thus, this paper presents a holistic overview of Quantum as a service (QaaS) as a future deployment in the 6G architecture, but only if quantum technologies can be mastered in the next upcoming years. Most likely that QaaS will become available for commercial purposes by the hyperscalers, the ones able to cope with the total cost of ownership (TCO) of these state of art technologies.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 1","pages":"39-62"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10255387/10255390.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68134613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Implementation of Ocular Health Service System Using Android Platform","authors":"Woongsik Kim","doi":"10.13052/jicts2245-800X.1034","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1034","url":null,"abstract":"As the life expectancy of human increases, having a long and healthy life, Well-Aging, Wellness, and Anti-Aging become more important. There is a paradigm shift from diagnosis and treatment in the healthcare field to prognosis and prevention in daily life. The human part with the most capillary blood vessels is the inside of human eyes or the fundus oculi. These capillary blood vessels show characteristic changes prior to chronic diseases such as diabetes or hypertension. In this study, a system is being developed to regularly collect data from the user, convert them into a database, and analyze to inform and warn any characteristic changes to users as they occur, such that users can proactively take care of their own eyes.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 3","pages":"427-437"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10255395/10255418.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68169375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Privacy Preservation for Enterprises Data in Edge Devices","authors":"Aaloka Anant;Ramjee Prasad","doi":"10.13052/jicts2245-800X.1015","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1015","url":null,"abstract":"Privacy becomes the most important topic as user's data gets more and more widely used and exchanged across internet. Edge devices are replacing traditional monitoring and maintenance strategy for daily used items in households as well as industrial establishments. The usage of technology is getting more and more pervasive. 6G further increases the importance of edge devices in a network as network speeds increase, making the edge device much more powerful element in the network. Edge devices would have massive store and exchange of personal data of the individual. Data privacy forms the primary requirement for accessing data of individuals. Paper presents a novel concept on combination of techniques including cryptography, randomization, pseudonymization and others to achieve anonymization. It investigates in detail how the privacy relevant data of individuals can be protected as well as made relevant for research. It arrives at an interesting and unique approach for privacy preservation on edge devices opening up new business opportunities and make the data subject in charge of their data.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 1","pages":"85-104"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10255387/10255388.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68134611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bio-Inspired PSO for Improving Neural Based Diabetes Prediction System","authors":"Mohammad Zubair Khan;R. Mangayarkarasi;C. Vanmathi;M. Angulakshmi","doi":"10.13052/jicts2245-800X.1025","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1025","url":null,"abstract":"A high level of glucose in the blood over a long period creates diabetes disease. Undiagnosed diabetes may trigger other complications such as cardiovascular disease, nerve damage, renal failure, and so on. There are many factors age, blood pressure, food habits, lifestyle changes are some of the reasons for diabetes. With increasing cases of diabetes in the smart Internet world, there is a need for an automated prediction system to facilitate the patients, to get know, whether they are affected by the disease or not. There are many diabetes prediction software that is already in use, still, the accurateness of a diabetes prediction is not complete. This paper presents a robust framework (PSO-NNDP), employs a novel hybrid feature selector to improvise the neural-based diabetes prediction system. The novel hybrid feature selector presented in this paper comprises the merits of the correlation coefficient, F-score, and particle swarm optimization methods to influence the feature selection process. The reliability of the proposed framework has been experimented on the benchmarking dataset. By establishing the clear steps, for the replacement of missing values, removal of outliers, the proposed framework obtains 99.5% accuracy. Moreover, the experimented machine learning models also show a great improvement upon the usage of the proposed feature selector.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"179-199"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10254730.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Album Management System Based on SE-ResNeXt","authors":"Zhendong Feng;Wei Liu;Yinghuai Yu","doi":"10.13052/jicts2245-800X.1044","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1044","url":null,"abstract":"With the rapid popularization and development of smart phones and other technological devices, pictures have become the main media for people to record information. However, the traditional mobile photo album has many problems. First of all, with the development of the times, the higher the pixel of the image, the larger the memory required. Obviously, the traditional file storage structure can no longer meet the storage of users' massive photos. Secondly, people store a large number of face images in mobile phones, so there is a strong demand for face recognition and classification management based on different faces. Third, in the face of the management of massive photos, general image recognition and classification is also a very demanding function. In response to the call of “deeply implementing the digital economy strategy” in today's era, our team makes full use of the functions of the cloud platform and a large number of industrial resources, and integrates independent optimization algorithms to develop an intelligent cloud album management system that realizes intellectualization and application innovation. SE-ResNeXt algorithm is the core algorithm of this system, which can recognize and extract effective information from massive images in various application scenarios, and help users to intelligently and automatically classify and manage images according to different contents. This paper deeply studies the Intelligent Cloud album management system based on SE-ResNeXt. The system is built by nginx+uwsgi+django+vue as a whole. It has the functions of intelligent classification, face recognition, cloud storage and so on. It aims to provide users with simpler, more intimate and more intelligent album management services.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 4","pages":"563-582"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254731/10254732.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68009004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bayesian Model Average for Student Learning Location","authors":"Nguyen Viet Lam;Bui Huy Khoi","doi":"10.13052/jicts2245-800X.10211","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.10211","url":null,"abstract":"The paper was conducted to understand the factors affecting the student's learning location. The official study carried out an online survey through Google forms using a questionnaire with the participation of 125 samples. The Bayesian Model Selection shows that 03 factors are affecting student studying location (SSL), which are Students' perception (PP), Price perception (PRI), Perception of universities in a big city (UNI). From the results, we have proposed many implications for improving student learning. This study uses the optimal choice of Bayesian Model Selection for the student learning location. Students' perceptions (PP), price perceptions (PRI), and university perceptions in big cities (UNI) all have a 97.1 percent impact on student studying places (SSL). Model 1 is the best option by BIC, and four variables have a probability of 100%.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"305-317"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10255436.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fuzzy Based Predication Technique for Diabetics Association Analysis for Salem District Farmers","authors":"A. Dalvin Vinoth Kumar","doi":"10.13052/jicts2245-800X.1024","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1024","url":null,"abstract":"Diabetes is a one of the major issue that all people in the world currently face. Diabetes is caused by excessive amounts of sugar in the blood. Once diabetes is diagnosed, it is not completely curable, but it can be controlled with proper medication, exercise and a balanced diet. Diabetes affects the vital organs of the body such as the heart, kidneys, brain and eyes. The diabetes mellitus and its complications can be determined using a variety of pathological tests, such as patients' symptoms and blood sugar, urine and lipid profile. The use of fuzzy logic in diagnosis is very common and useful because it combines the knowledge and experience of the physician into ambiguous sets and rules. Most of the researchers proposed methods to diagnosis the diabetes mellitus but still it in their infancy level. This work proposed a fuzzy based system for diagnosing diabetes disease. The usage of pesticides in agriculture by farmers is treated as one of the dependent variable for predication. The empirical zif's law is used to compute the frequency of farmers using pesticides are predicated as diabetic. The output of the proposed system proved that the fuzzy based prediction model diagnosis the disease accurately.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"165-178"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10255437.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}