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Research Article
HyperCube4x: Exploring and Analyzing Data in Virtual Reality Using HyperRelational and HyperAnalyzer
Alessandro Rego de Lima*,
Diana Carneiro Machado de Carvalho,
Tânia de Jesus Vilela da Rocha
Issue:
Volume 7, Issue 2, June 2023
Pages:
45-54
Received:
6 March 2023
Accepted:
30 March 2023
Published:
11 April 2023
DOI:
10.11648/j.ajist.20230702.11
Downloads:
Views:
Abstract: Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publication, this article presents HyperRelational and HyperAnalyzer, the WorkScenes focused on multidimensional data exploration, analysis, and visualization. First, the manuscript explores previous work on Human-Computer Interaction-related disciplines, such as cognitive psychology, cognitive engineering, and neuroscience. Then, we introduce HyperRelational and HyperAnalyzer, focusing on their fundamental concepts 1) Geometrical visualization; 2) mapping relationships among information as spatial dimensions. Also, the Screenshots help illustrate the mentioned concepts. Finally, the “Results and Discussion” section demonstrates how these features integrate with the flow, presence, and immersion of Virtual Reality, fit Shneiderman’s visual-information-seeking mantra and solve some desktop metaphor-related issues. Additionally, we present test results conducted with 26 participants that show an acceptability rate of 74% amongst users and highlight their positive feedback/experience regarding HyperAnalyzer. On the other hand, the System Usability Scale (SUS) evaluation scored 60.6731. The score demonstrates that HyperAnalyser scored a little better than Microsoft Excel. Therefore, we conclude that the concepts presented here are viable, but it is still necessary to evolve usability to make HyperCube commercially viable.
Abstract: Hypercube is a novel viewport management and information visualization system proposal that introduces three applications (called WorkScenes), focusing on interaction, immersive reading, data exploration, analysis, and visualization concepts. After presenting the conceptual description, interaction metaphors, and the prototype in a previous publica...
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Research on Key Technologies of Health Big Data Information Sharing for Chronic Patients
Issue:
Volume 7, Issue 2, June 2023
Pages:
55-61
Received:
28 February 2023
Accepted:
20 March 2023
Published:
11 April 2023
Abstract: Background: With the improvement of people's living conditions and the intensification of the aging level, chronic diseases such as hypertension and diabetes are constantly troubling human health. Chronic diseases have become the biggest problem for elderly patients, and there are many problems in the sharing of health information in the self-management of chronic diseases. Objective: To find a promising and practical way to share health information of chronic disease cloud, solve the problem of chronic disease health information sharing, so as to promote the long-term treatment of chronic disease, improve the quality of life of patients, protect the privacy of patients, and realize the common benefits of doctors, patients, medical institutions and medical research institutions. Methods: A patient-centered hybrid cloud health information sharing platform was proposed. The hybrid cloud technology was used to realize the sharing of chronic disease health information among doctors, patients, medical institutions and medical research institutions, and a prototype system was realized. Results: The scheme and its prototype system realized the recording and privacy sharing of health data by using hybrid cloud, and solved many problems of health information sharing in chronic disease self-management. Conclusion: Through system verification, the proposed hybrid cloud-based health information sharing method for chronic patients will greatly improve the utilization rate of information resources, and may change the current medical service model facing many challenges.
Abstract: Background: With the improvement of people's living conditions and the intensification of the aging level, chronic diseases such as hypertension and diabetes are constantly troubling human health. Chronic diseases have become the biggest problem for elderly patients, and there are many problems in the sharing of health information in the self-manag...
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A Stacking-Based Ensemble Model for Prediction of Metropolitan Bike Sharing Demand
Issue:
Volume 7, Issue 2, June 2023
Pages:
62-69
Received:
14 March 2023
Accepted:
14 April 2023
Published:
20 April 2023
Abstract: Due to the climate crisis and the improvement of public transportation networks, countries around the world are strongly advocating the low-carbon traveling mode. Shared bike as a new business model has a positive impact on the urban environment and transportation. The ability to estimate the hourly demand for bike sharing with high accuracy is essential for metropolis to offer stable bike rental services. Presently, data mining and predictive analysis technology can be utilized to realize the forecast of the hourly demand of shared bicycles. Data used in this article include the Seoul bike rented count dataset and weather information. This paper discusses various machine learning models for rental bike demand prediction, including Linear Regression, Ridge Regression, Lasso Regression, K-Nearest Neighbor, Random Forest, Decision Tree Regression, Support Vectors Machine, and Gradient Boosting Decision Tree. Different parameter tuning methods have been applied to improve the performance of basic predictive models. In addition, the redundant and irrelevant features have been removed to improve the performance of each basic model. After evaluating the individual basic predictors, several competent basic predictors are selected to compose a stacking-based ensemble model. Experimental results show that the stacking-based ensemble model outperforms the basic predictive models in all indicators.
Abstract: Due to the climate crisis and the improvement of public transportation networks, countries around the world are strongly advocating the low-carbon traveling mode. Shared bike as a new business model has a positive impact on the urban environment and transportation. The ability to estimate the hourly demand for bike sharing with high accuracy is ess...
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Predicting Real Estate Price Using Stacking-Based Ensemble Learning
Issue:
Volume 7, Issue 2, June 2023
Pages:
70-75
Received:
14 March 2023
Accepted:
23 April 2023
Published:
27 April 2023
Abstract: As one of the leading researches focusing on modern economics, real estate industry not only affects people's well-being but also has a close relationship with the national economy and social stability. Nevertheless, there are numerous complex factors that influence real estate prices, which makes house price forecasting remain a classic and challenging problem in the field of data analysis. The development of data mining and machine learning has greatly facilitated the analysis and extraction of useful information from complex data sets and the building of models to make predictions. In this study, a stacking-based ensemble model is proposed to identify potential links between property prices and various factors so that the more accurate prediction of property prices can be made. Some base predictive models, including linear regression, support vector regression, ridge regression, least absolute shrinkage and selection operator, machine language programs, random forest regression, and gradient boosting regression are trained to individually predict the estate price in the experiment. Then, the stacking-based ensemble model is obtained by integrating competent base predictive models and optimized using Grid search. The experimental outcomes indicate that the proposed model is superior to base predictive models and can be more accurate in predicting house prices.
Abstract: As one of the leading researches focusing on modern economics, real estate industry not only affects people's well-being but also has a close relationship with the national economy and social stability. Nevertheless, there are numerous complex factors that influence real estate prices, which makes house price forecasting remain a classic and challe...
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Improved Information Security for Enhanced Government Data Privacy at Zanzibar Social Security Fund (ZSSF)
Massoud Ali Juma,
Omar Fakih
Issue:
Volume 7, Issue 2, June 2023
Pages:
76-83
Received:
1 April 2023
Accepted:
24 April 2023
Published:
10 May 2023
Abstract: The main concern of this study was to explore the strategies for improving information security for enhancement Government data privacy in public sector, Zanzibar Social Security Fund (ZSSF) as case study. Specifically, the explore the effect of restriction of access to information on enhancement Government data privacy in ZSSF, analyses the effect of encryption of all devices on enhancement Government data privacy in ZSSF. Also, the study explores the effect of backup of the office data on enhancement Government data privacy in ZSSF and finally the study analyses the effect of strong password on enhancement Government data privacy in ZSSF. A quantitative research approach was mainly employed with appropriate method of analysis for this study. The sample size for this study consists of 79 after dropping 19 respondents who don’t return the questionnaire survey. A questionnaire survey was used as data collection instrument. A descriptive statistical techniques of analysis were used to analyses the collected data from relevant respondents. The study has revealed that four predictors (Restriction of access to information, Encryption of all devices, Backup of the office data and Strong password) had a significant influence on enhancement Government data privacy in Zanzibar Social Security Fund (ZSSF). The study concluded that the information system leads to fulfill the substantial security of properties and confidentiality. Finally, the study recommended that The Information security policies should be adopted and must be developed based on standard Information Security Management System (ISMS) and data privacy.
Abstract: The main concern of this study was to explore the strategies for improving information security for enhancement Government data privacy in public sector, Zanzibar Social Security Fund (ZSSF) as case study. Specifically, the explore the effect of restriction of access to information on enhancement Government data privacy in ZSSF, analyses the effect...
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Ideological and Political Resources Service System Needs Analysis
Issue:
Volume 7, Issue 2, June 2023
Pages:
84-88
Received:
20 April 2023
Accepted:
23 May 2023
Published:
29 May 2023
Abstract: The ideological and political education in universities has shifted from political courses to professional courses, and from teacher ideological and political education to full staff ideological and political education. Many departments and individuals at Beijing University of Technology have accumulated a certain amount of ideological and political resources. In order to achieve more centralized management and greater sharing of dispersed ideological and political resources, and to make ideological and political achievements more widely applied, the school needs an ideological and political resource service system. The establishment of a system helps to strengthen the management of ideological and political resources in schools and enhance individuals' knowledge level of ideological and political resources. It is crucial to implement a standardized and practical system and connect it with the ideological and political resources of different departments and individuals. This article focuses on the requirements analysis section of the ideological and political resource system, as requirements analysis is the cornerstone of almost all software design and development processes. Without a complete process of requirements research, analysis, and modeling, it is impossible to construct the basic architecture and functions of the software, resulting in the final designed software not meeting the user's usage requirements. A good requirement analysis will enable developers to have a more accurate understanding of the specific functions of the system, arrange development time and schedule, and thereby improve the usability of the system and the completion efficiency of developers. This article provides an in-depth analysis of the ideological and political resource service system from both functional and non-functional aspects, laying a solid foundation for subsequent design and implementation of the system.
Abstract: The ideological and political education in universities has shifted from political courses to professional courses, and from teacher ideological and political education to full staff ideological and political education. Many departments and individuals at Beijing University of Technology have accumulated a certain amount of ideological and politica...
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