User Information Management Research Articles

EMhub: a web platform for data management and on-the-fly processing in scientific facilities.

Most scientific facilities produce large amounts of heterogeneous data at a rapid pace. Managing users, instruments, reports and invoices presents additional challenges. To address these challenges, EMhub, a web platform designed to support the daily operations and record-keeping of a scientific facility, has been introduced. EMhub enables the easy management of user information, instruments, bookings and projects. The application was initially developed to meet the needs of a cryoEM facility, but its functionality and adaptability have proven to be broad enough to be extended to other data-generating centers. The expansion ofEMHub is enabled by the modular nature of its core functionalities. The application allows external processes to be connected via a REST API, automating tasks such as folder creation, user and password generation, and theexecution of real-time data-processing pipelines. EMhub has been used for several years at the Swedish National CryoEM Facility and has been installed in the CryoEM center at the Structural Biology Department at St. Jude Children's Research Hospital. A fully automated single-particle pipeline has been implemented for on-the-fly data processing and analysis. At St. Jude, the X-Ray Crystallography Center and the Single-Molecule Imaging Center have already expanded the platform to support their operational and data-management workflows.

Authorship Dynamics in Multidisciplinary Research: A Focus on Library and Information Science Professionals in RRIJM

This study looks into bibliometric studies in library and information science (LIS) to learn more about the influence of professional collaborations and multidisciplinary publication. It centers on user behaviour, digital libraries, and information management. The study uses bibliometric methodologies to examine authorship trends, geographic distribution, research paper length, and references. The results enhanced comprehension of the importance of library science in academic communities by emphasizing its function in handling intricate problems and promoting information sharing. Data from the Research Review International Journal of Multidisciplinary has been used in the study.

A novel open-source CADs platform for 3D CT pulmonary analysis

Computer-aided diagnosis (CAD) systems play vital roles in the early detection of pulmonary nodules for reducing lung cancer mortality rates. To provide better services for professional doctors, this paper proposes an efficient open-source CAD platform with flexible equipments, user-friendly interfaces, and completed functions for 3D CT pulmonary nodule analysis. For the platform’s design and implementation, we fully consider application scenarios and system requirements. The platform supplies core functions for (1) Basic Image Processing, (2) Intelligent Image Analysis, (3) Multi-View Image Visualization, (4) Report Editing and Generation, (5) User Information Management, and (6) Inference Service Monitoring. Specifically, other state-of-the-art or user-defined algorithms can be integrated as plugin modules with no interference for system architecture. System evaluation with use-case testing demonstrates the effectiveness and universality of the proposed platform.

The Construction of Social Cooperation System and Its Application in the Location Selection of Tourism Equipment Manufacturing Base under Mobile Internet

To study the application of social collaboration system in Tourism Equipment Manufacturing base selection under mobile Internet, firstly, Spring MVC framework and Activiti workflow engine technology are adopted to analyze the requirements of base location selection system based on the design idea and implementation method of mobile Internet base location selection system. Then the base site selection system based on social collaboration system is designed. Finally, the system is tested in user information management, site data management and site selection process management modules. The Activiti process framework can realize the business process modeling of the system, and can effectively help the site selection personnel to carry out site selection planning. At the same time, site selection personnel can carry out online interaction, facilitate site selection personnel to conduct on-site operations to obtain real-time data, and reduce workload and information errors, and improve the speed and quality of site selection under the design of mobile Internet. Therefore, the social cooperation model based on mobile Internet can reduce the cost of site selection and provide a basis for site selection.

Design and Implementation of a Resource Sharing Platform based on Cloud Computing

Entering the era of big data, while the amount of resource information is increasing exponentially, it has greatly increased the difficulty of people's resource sharing and searching. The design goal of this resource sharing platform is to gather the power of a large number of netizens to collect and integrate a large amount of resources, so that users can enrich the resource library as resource sharers while searching for resources. This system is an online multi-person resource sharing platform designed based on the Springboot and Vue2.0 framework, which implements functions such as user registration and login, data sharing, search, and comments. It also implements resource and user information management functions in the administrator module, as well as AI image audit image function based on Yolo. This system adopts cloud computing cloud database technology and cloud computing host technology to reduce system operating costs, and uses Sa Token plugin to ensure system security. While providing a resource sharing platform for netizens, it also adds corresponding resource audit functions such as image auditing.

Research on diabetes Prediction and Intelligent Diagnosis System Based on Machine Learning

This paper mainly focuses on the diagnosis and prediction of diabetes, and uses machine learning algorithm to study the prediction model of diabetes and intelligent consultation recommendation system. First, based on the public dataset of diabetes in UCL database, logistic regression model was used to screen variables, and four main characteristics were obtained: Pregnancies, Glucose, BMI and DPF. Secondly, four machine learning algorithms, K-nearest neighbor algorithm (KNN), naive Bayesian algorithm, decision tree and support vector machine, are used to establish the prediction model of diabetes. The model results show that the decision tree algorithm and K-nearest neighbor algorithm have high accuracy in specificity and negative case hit rate; However, the ROC curves of K-nearest neighbor algorithm and support vector machine algorithm are overlapped. Therefore, AUC value is further used to compare the prediction results of the two models. Finally, the prediction model based on support vector machine has certain advantages in prediction accuracy. Finally, taking diabetes patients as the object, on the basis of early prediction, using data mining technology, an intelligent diagnosis system for diabetes based on Java and fuzzy reasoning is constructed. The system functions include system user management, user information management, diabetes diagnosis and advice, system management and other functional modules, of which diabetes diagnosis and advice module is the core module of the system. The intelligent diagnosis system can provide basic medical diagnosis and suggestions, thus improving the diagnosis efficiency and becoming an important auxiliary tool for medical diagnosis.

Blockchain Technology in the Management of Scientific and Technological Achievement Transformation in Chinese Universities

The article uses blockchain technology to design and develop a blockchain-based management system for the transformation of scientific and technological achievements in universities, which solves the problems of difficulty in promoting information of scientific and technological achievements, low trust of both parties in the process of transformation, and lack of corresponding service platform. It solves the problems such as low trust between the two parties and lack of a corresponding service platform. The main research work of the article is as follows: first, it conducts demand analysis, proposes the overall architecture of the system, and designs the scientific research results management module. The system is divided into two parts, namely, user information management module and result information management module. Second, the data protection module is designed. A trust-optimised consensus algorithm C-DPOS is introduced to provide basic technical support for the operation of the blockchain-based university science and technology results trading and knowledge sharing system, thereby reducing the probability of malicious nodes committing mischief in the blockchain network environment during the operation of knowledge sharing, and comparing the probability of malicious and normal nodes participating in consensus. Third, system implementation and testing. By comparing the difference in consensus latency between DPoS and the improved C-DPoS, it is concluded that C-DPoS has a greater operational speed advantage over DPoS. The implementation of the C-DPoS consensus algorithm can further ensure that blockchain-based result trading and knowledge sharing can operate stably. According to the Law on Promoting the Transformation of Scientific and Technological Achievements (2015 revised version), the transformation of scientific and technological achievements of universities refers to the activities of subsequent testing, development, application, and promotion of scientific and technological achievements until the formation of new technologies, new processes, new materials, and new products and the development of new industries to improve the productivity level. Through the development of the transformation management system of scientific and technological achievements, the research data can be summarised in real time and comprehensively, and the blockchain can be used to achieve data protection, which has the characteristics of comprehensive management functions and strong security and effectively improves the efficiency and information security of the transformation of scientific and technological achievements.

Research on Art Appreciation System Based on Web Application

The appreciation system of art works is a system that combines art with computer. It can realize the appreciation and appreciation of art works through computer, so that more people can come into contact with art works and improve people’s appreciation ability and spiritual and cultural life level of art works. The system is an application system based on Web application program and running under Windows system. The whole project development framework is a popular web framework. It is an application-oriented system constructed by using java development language, Oracle database as data storage support in persistence layer, Tomcat as application server and JSP technology. The function of the system is mainly divided into two parts. The administrator part only realizes the operation of adding, modifying and deleting the relevant information of the art works, including the detailed information of the works, the relevant information of the painter, the background art management and comment management of the art works, and the user information management; In the user part, it mainly realizes the functions of browsing, understanding and learning art works, and increases the functions of attention and comment on works. After development and debugging, the system runs normally, all functions of the administrator side are basically realized, and relevant operations can be carried out; The functions of the client are basically all realized. Users can choose some functions of the system according to their preferences.

An Explanatory Study on User Behavior in Discovering Aggregated Multimedia Web Content

The recent advancements in the web allow users to generate multimedia content, resulting in multimedia information proliferation. Existing search engines provide access to multimedia content via a disjoint assembly of media-specific results called verticals. However, this decentralized assembly of media contents requires manual aggregation and synthesizing efforts at the user’s end, hindering the information exploration process and subsequently may cause cognitive overload, hence, demanding innovative tools to discover multimedia content. The researchers have devised numerous state-of-the-art approaches; however, analysis to confirm the efficacy has little emphasis. This study investigates users’ complex multimedia information-seeking behavior over state-of-the-art web search systems to unveil the user’s information-seeking issues. Our research employs between-subjects study and post hoc analysis strategies to analyze participants’ information-seeking characteristics. The study design adopted statistical hypothesis testing to consolidate previous user behavioral studies, confirm existing strategies, and present recommended practices for future general-purpose web search engines. The participants were assigned Google and an advanced discovery search system using the same multimedia dataset to ensure the obtained results’ credibility. The primary behavioral parameters include search efforts, multimedia content exploration, search user interface (SUI), information management and presentation, and user cognition. This study uncovers several inadequacies of the search engines in meeting users’ complex discovery needs, including 29.6% less user engagement, 43% system and searching dissatisfaction, and 32% less knowledge acquisition with 63.9% increased clicking effort on traditional search engines. The results confirmed previous user studies and suggest novel research recommendations statistically significant in multimedia information exploration-related endeavors.

InfoDID: A robust user information management serivce based on Decentralized Identifiers

InfoDID: A robust user information management serivce based on Decentralized Identifiers

The design of medical IoT operation information platform using reactive algorithm and e-commerce O2O mode

To apply the internet of things (IoT) to the medical operation system of the new era under the e-commerce online to offline (O2O) mode to realize the intelligent management of medical operation, first, the theoretical basis of the medical e-commerce O2O mode is put forward. First, the theoretical basis of O2O mode of medical e-commerce is proposed, and the reactive algorithm in a cloud computing environment is proposed. Based on the reactive algorithm, the medical IoT operation information platform is designed, including technical framework, development platform and operating framework; then, the database is designed, including user information management database, online registration database, parallel diagnosis service database, and electronic medical record database; the local area network (LAN) is used to realize the basic medical services under the management of the IoT by means of online registration simulation; the performance of the platform is tested, and the test index is the concurrent connection number. The proposed platform is applied to three different hospitals (H, R and K). June 2019 and August 2019 are taken as two-time nodes before and after the use of the proposed platform in three hospitals, and the relevant income of each hospital is counted. The results show that under the premise that the amount of resource increase is 60, and the concurrent connection number is 60, it is necessary to wait for 8 s before the system starts to increase the number of connections (resources), indicating that the threshold exerts a great effect on the algorithm. Meanwhile, the reactive algorithm cannot maintain the same rate. It will cause a slight stagnation according to the load state of the system. The total income of H and K hospitals decreases after using the proposed medical IoT operation information platform. However, the medical income and drug income increase, the ratio of drug income to total income increases significantly, and the proportion of K hospital increases about 0.3. The conclusion is that under the medical e-commerce O2O mode, the reactive algorithm proposed can be applied to the design of the medical IoT operation information platform, and the actual performance of the platform meets the expected results.

Design and Implementation of Home Health System Based on ID Card Identification and Multidevice Access

With the development of society and the gradual arrival of an ageing society, various diseases threaten human health. If you use the software that comes with your medical device to understand and analyze your health, not only the user is in trouble but also a variety of health data can not be linked, giving users a more three‐dimensional health analysis. In this case, this article will design and implement a mobile client for a home health system. The user’s information is hosted by the remote data center. It is necessary to collect the user’s information to facilitate management and analysis of health conditions. The manual input method is easy to input errors due to the long address and ID number, so the system will collect user information based on ID card identification. Train ID information to achieve accurate identification. For the multidevice access function, the key parts of the IEEE 11073 standard are used for communication. The mobile phone client that implements the home health system runs on the Android platform. According to the user information management, the user physiological data management, the user physiological data collection, and the user information synchronization are divided into four modules. The ID card identification module is called in the user management module, and the IEEE11073 communication plug‐in is called by JNI in the health data measurement module. The health data can be presented intuitively to the user, or the information can be synchronized to the remote data center for further analysis.

The current state and future of internet technology-based hypertension management in Japan.

Internet-based information and communication technology is altering our lives. Although medicine is traditionally conservative, it can benefit in many ways from adopting new technology and styles of care. Hypertension is a prime condition for the practical application of digital health management because it is prevalent and undercontrolled, and its primary index, home blood pressure, can be effectively telemonitored. Compared to other conditions that require laboratory measures or the use of drugs with frequent side effects, hypertension can be managed without actual office visits with sufficiently low risk. In this review of hypertension in Japan, we discuss the current and somewhat fragmented state of internet technology and the components and processes necessary for smooth, integrated, and multidisciplinary care in the future. Although further clinical trials are required to show the safety and efficacy of information and communication technology-based care for hypertension, the deployment of telemonitoring and telemedicine in daily practice should be expedited to solve the hypertension paradox. Challenges remain relating to cost, data integration, the redesigning of team-based care, and the improvement of user experience, but information and communication technology-based hypertension management is sure to become pivotal in improving public health.

Notice of Violation of IEEE Publication Principles: Data Trading with Competitive Social Platforms: Outcomes are Mostly Privacy Welfare Damaging

Notice of Violation of IEEE Publication Principles<br><br> “Data Trading with Competitive Social Platforms: Outcomes are Mostly Privacy Welfare Damaging” <br> by Ranjan Pal, Yixuan Wang, Junhui Li, Mingyan Liu, Jon Crowcroft, Yong Li, Sasu Tarkoma in the IEEE Transactions on Network and Service Management, Early Access, December 2020<br> After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles.<br><br> This paper is a duplication of the original text from the paper cited below. The original text was copied with insufficient attribution and without permission.<br><br> Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:<br> "Too Much Data: Prices and Inefficiencies in Data Markets"<br> by Daron Acemoglu, Ali Makhdoumi, Azarakhsh Malekian, and Asuman Ozdaglar NBER Working Paper No. 26296, September 2019<br><br> <br/> This paper argues that private but correlated data of individuals (such as those on a social networking platform) are under-priced in general, and that market competition for such data (such as that traded in a duopoly setting) does not alleviate this issue, resulting in diminishing economic utilitarian welfare. This is in stark contrast to the commonly held intuition that increased amount of end-user data in a market improves its efficiency or social welfare. The main reason behind this inefficiency lies in negative externality, in the form of privacy loss to one user as a result of the disclosure of another user’s data, caused by the statistical correlation between their data, which is very common among platform users. This externality is not sufficiently internalized at market equilibrium as reflected by the under-pricing of the data, thereby leading to damaged social welfare. Our mathematical model (a) provides regulatory insights on user information management for social networking platforms, and (b) paves the way for a future general theory of community data trading in n-platform oligopoly markets. To the best of our knowledge, this is the first work of its kind in relation to assessing via theory the economically inefficient nature of community data trading ventures.

Research on the influence mechanism of users’ quantified-self immersive experience: on the convergence of mobile intelligence and wearable computing

The rapid development of mobile intelligence and wearable computing promotes the rise of quantified-self. Users quantify themselves and realize self-tracking and self-cognition through the connection between mobile phone terminals and wearable computing devices. The characteristics of immersive quantified information design in the convergence mode of mobile intelligence and wearable computing attract many users to immerse into it. Based on the stimulus-body-response (S-O-R) model, this paper constructs an influence mechanism model that affects the immersive experience of quantified-self and adopts empirical research methods. This paper analyzes the influence of the information platform and content characteristics (interaction, ease of use, usefulness, entertainment) of the convergence of mobile intelligence and wearable computing on users’ immersive experience of quantified-self and the moderating effect of privacy concern and potential affordance on immersive experience and continuous participation. The results show that interaction, ease of use, usefulness, and entertainment all have a significant impact on users’ quantified-self immersive experience, and the influence is in the order of usefulness>ease of use>entertainment>interaction. Potential affordance and privacy concerns play a significant role in regulating the state of immersion and continuous participation. The conclusion of this study not only analyzes the influencing factors of users’ immersive experience of quantified-self from the characteristics of the convergence of mobile intelligence and wearable computing but also analyzes the relationship between users’ immersive experience of quantified-self and continuous participation from the perspective of potential affordance and privacy concerns. It provides opinions and suggestions for the interaction design and user information management of the convergence of mobile intelligence and wearable computing and has practical reference significance for related enterprises to improve user stickiness.

Design and Implementation of Electric Power Patrol Monitoring System Based on Beidou and Mobile Network

Most existing communication technologies used for power inspection systems cannot seamlessly cover the inspection line range. Therefore, the real-time transmission of inspection information and the safety of personnel are difficult to guarantee. Based on current research on electric power inspection and the industry’s urgent need for real-time and accurate location information of inspectors, this paper designed and developed an electric power patrol and monitoring system using the Beidou satellite system in conjunction with mobile networks. The problem of patrolling information in blind areas where ground communications cannot be reached in real time is effectively solved through a seamless switching design between Beidou short messages and mobile networks. The short message broadcast and high-precision position information return of inspection personnel were also realized by applying the Beidou multi-mode data transmission module as independently developed. The system took advantage of the user and function-oriented conceptual design and the Browser/Server (B/S)-based architecture design, as well as the combination with the SpringMVC + Spring + MyBatis (SSM) to improve the quality of the development process. Some key functions, such as real-time position display, track playback, user information management, and other functions, are interactive with the implemented visual user interfaces, which fundamentally helps the power monitoring department provide remote visual supervision services. The test results of the core module showed that the system could be used as a supplement to the power inspection and supervision industry, especially for deep mountain valleys, dense forests, and other areas without stable communication signals.

An efficient management scheme of blockchain-based cloud user information using probabilistic weighting

As the number of users using cloud services has increased in recent years, the number of users leaving the group or changing their personal information is often the case. In this paper, a blockchain-based cloud user information management scheme is proposed using stochastic weights to confirm that the information of users receiving cloud services has not been tampered with. The proposed scheme uses color keys to reliably distinguish blockchains of user information in a cloud environment. The quality of service is improved by pasting user attribute information generated using color keys to the front of the blockchain. The proposed scheme uses different color key information and attribute information, so they have the advantage of effectively processing user information in different cloud environments. It also supports lower overhead and higher efficiency compared to traditional techniques that individually add authentication keys to users by authenticating information from multiple users who receive cloud services with color keys. In addition, the proposed scheme allows the provision of reliable real-time cloud services by creating a stochastic sum of weights for the first and last users that make up the cloud. As a result of the performance analysis, the proposed scheme reduced the time of blockchain generation by $$7.9\%$$ on average by linking user information to the probability value of user information. Efficiency in managing blockchain-based user information over overlay networks was up to $$11.5\%$$ better than using RSA alone, with an average $$7.7\%$$ lower overhead.

Best Practice Models for Enterprise Resource Planning Implementation and Security Challenges

The objective of this study was to analyze the best practices that have to be adopted in implementing ERP. The study further sought to address security challenges faced in ERP implementation. The researcher used content analysis approach of a number of publications on the subject area of ERP implementation. This research makes use of secondary sources like books, academic journals and other online sources that speak about the best practices to be adapted for implementation of Enterprise resource planning systems for conducting the study. The findings showed that before an organization dives in implementing ERP, the following practices for successful implementation have to be considered: developing a plan with clear goals and objectives, gaining internal support and commitment, selecting the right software, allocating sufficient resources and training and change management. The study also established that integrating user management, internal controls, data and information management and reporting, compliance, and protection against internal and external threats associated with a single solution is a big challenge. The paper concludes that even though ERP is important to organisations, its implementation is challenging and organisations must prepare adequately to get it right.

VisualCOBie for facilities management

PurposeThe purpose of this paper is to describe the technical features, underlying concepts and implementation details of a novel Building Information Modeling (BIM)-integrated, graph-based platform developed to support BIM for facilities management through a usability driven visual representation of the construction operations building information exchange (COBie) spreadsheet data.Design/methodology/approachThis paper is based on the iterative steps of design thinking and agile software development methodology. The conceptual development of the VisualCOBie platform is based on Gestalt’s principles of visual perception to facilitate usability and comprehension of the COBie data.FindingsThe paper demonstrates that Gestalt’s principles of visual perception provide a suitable conceptual as well as implementable basis for improving the usability and comprehension of COBie spreadsheets. The implemented BIM-integrated, graph-based VisualCOBie platform supports visual navigation and dynamic search, reducing the cognitive load of large spreadsheets that are common in facilities management software.Research limitations/implicationsThe usability, visual search and dependencies-based search of VisualCOBie can potentially transform how we implement and use facilities and information management systems in construction, where large spreadsheets are frequently used in conjunction with BIM and other tools. VisualCOBie also provides usability-based step towards BIM for facilities management.Originality/valueThe VisualCOBie approach provides a novel user interface and information management platform. This paper may also foster a potential paradigm shift in our approach to the representation and use of information exchange standards such as COBie, which are required to facilitate the research and practice on BIM for facilities management.

The framework of user information protection via secure SSO and PKI

Background/Objectives: There has been a necessity of a new system to protect and share user information with cooperative research institutes and manage subjects for managing and providing national R&amp;D information.Methods/Statistical analysis: The National Science &amp; Technology Information Service (NTIS) used the SSO API to share user information with cooperative research institutes safely. The API included minimum information only to prevent personal information such as user ID and authorization code from being leaked and observed related laws. For the authorization and management of user information targeted to open R&amp;D information, moreover, 2-stage authentication has been established, using the certificate authentication system.Findings: Since information is collected and provided in diverse manners by multiple institutes, user information has been scattered, and there has been a risk of the leak of personal information. With the centralized collection and management of user information, however, the protection of personal information and observance of laws have become more convenient. Furthermore, the information is provided to the authorized managers only through the construction of a security system and utilization of access control system, and security has been secured. To make users utilize information properly at access to raw data, authorization procedures were strengthened, keeping national R&amp;D information and users more reliable.Improvements/Applications: Through this framework, secure information-sharing &amp; management systems were applied, improving the safety of information management.