Journal of ICT Standardization最新文献_第5页

The Implementation of Ocular Health Service System Using Android Platform 基于Android平台的眼部健康服务系统的实现

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1034

Woongsik Kim

引用次数: 0

Privacy Preservation for Enterprises Data in Edge Devices 边缘设备中企业数据的隐私保护

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1015

Aaloka Anant;Ramjee Prasad

引用次数: 0

Bio-Inspired PSO for Improving Neural Based Diabetes Prediction System 基于生物启发的PSO算法改进基于神经网络的糖尿病预测系统

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1025

Mohammad Zubair Khan;R. Mangayarkarasi;C. Vanmathi;M. Angulakshmi

{"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}

引用次数: 0

Smart Album Management System Based on SE-ResNeXt 基于SE ResNeXt的智能相册管理系统

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1044

Zhendong Feng;Wei Liu;Yinghuai Yu

{"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}

引用次数: 0

Bayesian Model Average for Student Learning Location 学生学习地点的贝叶斯模型平均

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.10211

Nguyen Viet Lam;Bui Huy Khoi

引用次数: 0

Fuzzy Based Predication Technique for Diabetics Association Analysis for Salem District Farmers 基于模糊预测技术的塞勒姆地区农民糖尿病关联分析

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1024

A. Dalvin Vinoth Kumar

{"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}

引用次数: 0

Comparative Techniques Using Hierarchical Modelling and Machine Learning for Procedure Recognition in Smart Hospitals 智能医院过程识别的层次建模与机器学习比较技术

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1023

Shaheena Noor;Muhammad Aamir;Najma Ismat;Muhammad Imran Saleem

{"title":"Comparative Techniques Using Hierarchical Modelling and Machine Learning for Procedure Recognition in Smart Hospitals","authors":"Shaheena Noor;Muhammad Aamir;Najma Ismat;Muhammad Imran Saleem","doi":"10.13052/jicts2245-800X.1023","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1023","url":null,"abstract":"6G is one of the key cornerstone elements of the futuristic smart system setup - the others being cloud computing, big data, wearable devices and Artificial Intelligence. Also, smart offices and homes have become even more popular than before, because of the advancement in computer vision and Machine Learning (ML) technologies. Recognition of human actions and situations are fundamental components of such systems, especially in complex environments like healthcare, for example at the dentist clinic, where we need cues such as eye movement to distinguish procedures being undertaken. In this work, we compare models based on hierarchical modelling and machine learning to identify the dental procedure. We used the objects seen while following the eye trajectories and focussed on elements including material used for treatment, equipment involved and the teeth conditions i.e. symptoms. Our experiments showed that using Artificial Neural Network (ANN) increased the accuracy of prediction compared to hierarchical modelling. Our experiments show an improvement in accuracy for each of the constituent parameters i.e., symptom (ANN: 95.58% vs. Hierarchical: 45.68%), material (ANN: 86.32% vs. Hierarchical: 45.18%) and equipment (ANN: 92.65% vs. Hierarchical: 59.39%).","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"145-164"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10254661.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110513","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}

引用次数: 0

IoT Health Data in Electronic Health Records (EHR): Security and Privacy Issues in Era of 6G 电子健康记录（EHR）中的物联网健康数据：6G时代的安全和隐私问题

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1014

Ana Koren;Ramjee Prasad

引用次数: 3

6G Technologies - How Can It Help Future Green Business Model Innovation 6G技术如何帮助未来的绿色商业模式创新

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1012

Peter Lindgren

{"title":"6G Technologies - How Can It Help Future Green Business Model Innovation","authors":"Peter Lindgren","doi":"10.13052/jicts2245-800X.1012","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1012","url":null,"abstract":"In the last few years businesses have been motivated and pushed by governments and global society on innovating and developing Green Business Models. However, Reconfiguring, designing and developing green business models to become efficient and valuing Green Business Models have shown to be much more complex than expected. It includes balancing monetary and non monetary value formulas of business models in symbiosis. Not just for the single business - but for businesses in their entire value network. This includes security challenges related to securing that green business models really are green - and not based on greenwashing. As green business models demand in long term perspective a very open business model innovation approach, it calls for stronger and new security technologies. Protection of IPR's of Business Models and businesses competences, so they are not one to one copied with out giving value back to “the Business Model designer” and the rightful original owner of the business models is a major security challenge related to green business models. Green Business Models and Green business Model Innovation calls therefore for new and more advanced security approach, technologies and understanding. Previous business model innovation security practice and systems cannot fully offer these solutions - but 6G of wide-area wireless security technologies - as an umbrella - gives hope and can potentially play major role with new security technologies supported by AI, AR and blockchain technologies. This evolvement is highly and urgent needed to support the success of our society's green transformation. The paper document through Nordic green business model cases some of the above mention security challenges that green business models and green business model innovation stand in front of and need to innovate solutions for. The paper discuss and propose how 6G and related technologies could help.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 1","pages":"11-37"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10255387/10255425.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68134612","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}

引用次数: 1

Managers' Perception on the IT Audit Recommendations: The Effect of Risk Significance, Ease of Implementation and Added Value on Implementation of Recommendations 管理者对IT审计建议的感知：风险显著性、实施容易性和附加值对建议实施的影响

Journal of ICT Standardization Pub Date : 2022-01-01 DOI: 10.13052/jicts2245-800X.1021

Armend Salihu;Hamdi Hoti

{"title":"Managers' Perception on the IT Audit Recommendations: The Effect of Risk Significance, Ease of Implementation and Added Value on Implementation of Recommendations","authors":"Armend Salihu;Hamdi Hoti","doi":"10.13052/jicts2245-800X.1021","DOIUrl":"https://doi.org/10.13052/jicts2245-800X.1021","url":null,"abstract":"The purpose of this study is to analyse the impact of the risk significance of audit results, the quality of the recommendations given on how easy it is to implement them, and the added benefit to the organization in implementing the recommendations. After a comprehensive literature review, the study provides a statistical analysis through a questionnaire that has been distributed to investigate the effect of Risk Significance, Ease of Implementation, and the Added Value on the implementation of the recommendations within organizations. Regarding the results obtained from the questionnaire, all Cronbach's Alpha values are within the acceptable level, whereas the first three variables (Implementation of Recommendations, Risk Significance and Ease of Implementation) have a strong positive correlation between each other. There is a weak positive correlation between Added Value of Recommendations with other variables. In the regression analysis was found that all independent variables have a positive effect on the depended variable.","PeriodicalId":36697,"journal":{"name":"Journal of ICT Standardization","volume":"10 2","pages":"105-124"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10251929/10254727/10254728.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68110517","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}

引用次数: 1