Data Management Structure Research Articles

Security and Data Privacy of Medical Information in Blockchain Using Lightweight Cryptographic System

In the healthcare system and hospital environment, the data security and the data connectivity are the major factors to consider for patient data management system. For that, there are several techniques are used to preserve and arrange the patient data with enhanced security system. In that, Blockchain structure of data management improves the secure data storage and transmission process. In the data security system, the quality measure can be validate by means of the size of key that are used for the encryption process. Combined with the blockchain, the encryption model is to be improved for the solve the problem in data security system. This also needs to focus on the size reduction of data storage due to the large key size of encrypted data. In the proposed work, Intuitionistic Derivative Symmetrical Encryption (IDSE) Algorithm based security algorithm along with blockchain function was integrated to form the authorized data storage and transmission process. For the key pattern generation, Differential Hashing Pattern (DHP) based key pattern extraction model was used for high speed data transmission and to reduce the size of data that are encrypted. The features that are considered for the appropriate security system are the data transmission pattern with respect to the time and the hashing model of key generation. In the result analysis, the performance of the IDSE-DHP are validated with the parameters of data transmission and loss rate in the Blockchain and with the throughput related features.

Word Formation Guide for the general public and specialists

Word Formation Guide (WFG) – one of the services of the Information System of Resources of the Lithuanian Language E. kalba (E -Language). It is intended to quickly and concisely introduce the means of word formation of Lithuanian nouns and the essential regularities of their formation. This guide is intended for the general public, but may also be useful for the specialists in word formation. The article briefly introduces a fast and detailed data search in the WFG. The quick search provides two ways of searching for means of word formation, focusing on their formal expression or derivative and lexical semantics. The detailed search is designed to search according to several features of the word formation means, base, and the semantics of the derivatives. In this search various combinations of the features are possible. Next, the article discusses several problematic issues that arose during the creation of the WFG data structure and data management. This is the homonymy of means of word formation, the classification of initial and final borrowed (neoclassical and other) formatives of words (prefixes, combining forms etc.) and their place in the word formation system of the Lithuanian language, and in the guide under discussion, experimental separation of (lexical) semantic features. In conclusion, the development possibilities of the Word Formation guide are introduced, not only by increasing the number of examples of noun derivatives and compounds but also by redesigning the current data structure and including the word formation data of other parts of speech.

Lessons learned while starting multi-institutional genetics research in diverse populations: A report from the Clinical Sequencing Evidence-Generating Research (CSER) consortium

BackgroundIncreasing diversity in clinical trial participation is necessary to improve health outcomes and requires addressing existing social, structural, and geographic barriers. The Clinical Sequencing Evidence-Generating Research Consortium (CSER) included six research projects to enroll historically underrepresented/underserved (UR/US) populations in clinical genomics research. Delays and project re-designs emerged shortly after work began. Understanding common experiences of these projects may inform future trial implementation. MethodsSemi-structured interviews with six CSER principal investigators and seven project managers were performed. An interview guide included questions of research/clinical infrastructure, logistics across sites, language, communication, and allocation of grant-related resources. Interviews were recorded, transcribed verbatim; transcripts were analyzed using inductive coding, thematic analysis and consensus building. ResultsAll projects collaborating with new clinical sub-sites to recruit UR/US populations. Refining trial logistics continued long after enrollment for all projects. Themes of challenges included: sub-site customization for workflow and genetics support, conflicting input from participant advisory groups and approval bodies, developing research personnel, complex data management structures, and external changes (e.g. subcontractors ending contracts) that required redesign. Themes of beneficial lessons included: domains with prior experience were easier, develop project champions at each sub-site, structure communication within the research team, and simplify research design when possible. ConclusionsThe operational aspects of expanding clinical research into novel sub-sites are significant and require investment of time and resources. The themes arising from these interviews suggest priority areas for more quantitative analyses in the future including multi-institutional approval policies and processes, data management structures, and incremental research complexity.

An Efficient Storage Structure and Management for Distributed Ledgers in Blockchain Systems: An Exploration Based on Purely Theoretical Approach

In this paper, an efficient data structure for storage, management, and security in blockchain systems is presented. This efficient structure is based on the AVL (Adelson-Velsky and Landis) tree and make an extension for the purpose of management and security. We first present a new storage structure for efficient data search based on the AVL tree. Next we expand this data structure and apply to the management and security of the blockchain ledger. The way of management for distributed account/data is divided into two operations, namely splitting and merging. This paper also makes a discussion about the significance of these two operations. We show a detailed description and make mathematical analysis with proof for the performance of all mechanisms proposed in this paper. In addition, a mechanism of dual authentication is also proposed and to provide a better tamper-proof.

<i>Verikube</i>: Automatic and Efficient Verification for Container Network Policies

Recently, Linux Container has been the de-facto standard for a cloud system, enabling cloud providers to create a virtual environment in a much more scaled manner. However, configuring container networks remains immature and requires automatic verification for efficient cloud management. We propose Verikube, which utilizes a novel graph structure representing policies to reduce memory consumption and accelerate verification. Moreover, unlike existing works, Verikube is compatible with the complex semantics of Cilium Policy which a cloud adopts from its advantage of performance. Our evaluation results show that Verikube performs at least seven times better for memory efficiency, at least 1.5 times faster for data structure management, and 20K times better for verification.

Investigations on visualization and interaction of ship structure multidisciplinary finite element analysis data for virtual environment

Although the extraction and sharing of important data in the finite element model (FEM) and analysis data is particularly significant in the ship structure collaborative design process, the efficiency of sharing finite element analysis (FEA) data using a standardized neutral format is still relatively low, which is attributed to the format that has to accommodate various data types generated by different commercial computer aided engineering (CAE) software and multidisciplinary analysis applications. Aiming to solve the problem of efficient visualization and sharing of heterogeneous FEA data in ship structure collaborative design and review, we proposed a new FEA data visualization framework for virtual environments (VE) to realize multidisciplinary data sharing in the collaborative design process, where only essential finite element (FE) information is stored to reduce the weight of the model and analysis data. In addition, the visualizing results can be updated in response to the modification of the model geometry and simulation variables. Furthermore, we implemented a general system based on our data framework. To maximize the efficiency of managing multidisciplinary data (statics, dynamics, ultimate strength), the system adopts a client/server (C/S) architecture and hierarchical management of data structures. The virtual visualization of these complex FEA data effectively enhances the efficiency of scientific communication, model evaluation and validation, and interdisciplinary discussion of research findings. Eventually, examples from commercial CAE software are provided to demonstrate the effectiveness and versatility of the system.

New Data Structures for a Flexible Order Management

Turbulent markets pose increasing challenges for manufacturing companies. Disruptions such as customer order changes, machine breakdowns, or delivery failures require constant adjustments in operations. The efficient and effective handling of these disruptions is essential to achieve the required customer satisfaction. More adaptable production systems like the Fluid Manufacturing System (FLMS) promise to meet the changed requirements. A correspondingly adaptable order management system is needed. However, today’s order management structures are too rigid. Within this paper, the challenges of production planning and control with regard to adaptable production systems are derived. Then, today’s data structures in order management are presented and, based on this, a new flexible data structure for order management is developed.

The Design and Development of a Ship Trajectory Data Management and Analysis System Based on AIS.

To address the data storage, management, analysis, and mining of ship targets, the object-oriented method was employed to design the overall structure and functional modules of a ship trajectory data management and analysis system (STDMAS). This paper elaborates the detailed design and technical information of the system’s logical structure, module composition, physical deployment, and main functional modules such as database management, trajectory analysis, trajectory mining, and situation analysis. A ship identification method based on the motion features was put forward. With the method, ship trajectory was first partitioned into sub-trajectories in various behavioral patterns, and effective motion features were then extracted. Machine learning algorithms were utilized for training and testing to identify many types of ships. STDMAS implements such functions as database management, trajectory analysis, historical situation review, and ship identification and outlier detection based on trajectory classification. STDMAS can satisfy the practical needs for the data management, analysis, and mining of maritime targets because it is easy to apply, maintain, and expand.

Analisis dan Perancangan Sistem Informasi Pengelolaan Data Aktivitas Mahasiswa Berbasis Website (Studi Kasus: STMIK Primakara)

STMIK Primakara still has problems in managing student activity data because the active system is considered not running optimally. The purpose of this research is to produce an accurate and structured activity data management. The method used in this research is the prototype method and for data collection by conducting observations and field analysis and interviews. The results of this study are students are able to input the activities that have been followed independently. The student department and the operator in charge only validate the data that has been inputted by the student. This study uses the SDLC (System Development Life Cycle) prototype model. To design the system design using the VueJs framework with the primevue component library version 3.0.0 with the sigma-vue template. With this system design, it is hoped that it will make it easier for the development department to design the system so that it can be implemented immediately to students. Keywords— System Design, Data Management, VueJs, Prototype Model, Student Activity

Conceptual Data Modeling: Entity-Relationship Models as Thinging Machines

Data modeling is a process of developing a model to design and develop a data system that supports an organization's various business processes. A conceptual data model represents a technology-independent specification of structure of data to be stored within a database. The model aims at providing richer expressiveness and incorporating a set of semantics to (a) support the design, control, and integrity parts of the data stored in data management structures and (b) coordinate viewing of connections and ideas on a database. The described structure of the data is often represented in an entity-relationship (ER) model, which was one of the first data-modeling techniques and is likely to continue to be a popular way of characterizing entity classes, attributes and relationships. This paper is an attempt to examine the basic ER modeling notions to analyze the concepts to which they refer as well as ways to represent them. In such a mission, we apply a new modeling methodology (thinging machine; TM) to ER in terms of its fundamental building constructs, representation entities, relationships and attributes. The goal of this venture is to further the understanding of data models and enrich their semantics. Three specific contributions to modeling in this context are incorporated: (a) using the TM model's five generic actions to inject processing in the ER structure; (b) relating the single ontological element of TM modeling (i.e., a thing/machine or thimac) to ER entities and relationships; and (c) proposing a high-level integrated, extended ER model that includes structural and time-oriented notions (e.g., events or behavior).

A data management framework for strategic urban planning using blue-green infrastructure

Spatial planning of Blue-Green Infrastructure (BGI) should ideally be based on well-evaluated and context specific solutions. One important obstacle to reach this goal relates to adequate provisioning of data to ensure good governance of BGI, i.e., appropriate planning, design, construction, and maintenance. This study explores the gap between data availability and implementation of BGI in urban planning authorities in Sweden. A multi method approach including brainstorming, semi-structured interviews with urban planners and experts on BGI and Geographical Information System (GIS), and validating workshops were performed to develop a framework for structured and user-friendly data collection and use. Identified challenges concern data availability, data management, and GIS knowledge. There is a need to improve the organisation of data management and the skills of trans-disciplinary cooperation to better understand and interpret different types of data. Moreover, different strategic goals require different data to ensure efficient planning of BGI. This calls for closer interactions between development of strategic political goals and data collection. The data management framework consists of three parts: A) Ideal structure of data management in relation to planning process, data infrastructure and organisational structure, and B) A generic list of data needed, and C) The development of structures for data gathering and access. We conclude that it is essential to develop pan-municipal data management systems that bridge sectors and disciplines to ensure efficient management of the urban environment, and which is able to support the involvement of citizens to collect and access relevant data. The framework can assist in such development.

Design of an Interactive Two-Way Telemedicine Service System for Smart Home Care for the Elderly.

In this paper, we deeply analyse and study the interactive telemedicine service system for elderly care in smart homes and design a data summarization method for large concurrent scenarios. The method first parses and reconstructs the data received by the system initially and then stores the reconstructed valid data into the local database, which realizes the fast data summarization under the heavy concurrency scenario. Secondly, a multiformat data adaptation method is designed for the problem that the data to be provided and processed are in various formats. The method uses a unified data format and adaptation process constraints to achieve centralized management of heterogeneous data from multiple sources, which provide a unified data support service for the system and upper-layer applications. Again, to deal with the application problem of highly correlated data, the data-sharing system provides data for each functional component of the telemedicine platform according to business requirements based on standardized data structure and unified storage management. This enables the barrier-free flow of multisource highly correlated data. When the consultation is in progress, the doctor can communicate with the patient with video and audio devices and, at the same time, can access the patient's historical medical records and the medical records uploaded by the patient; after the consultation is completed, the consultation doctor needs to fill in the consultation record. The consultation assistance module can statistically analyse the workload of doctors and other information according to the background data, and the telemedicine system will play an increasingly important role in the medical and health care business.

양자암호 통신망에서 양자키 관리를 위한 통합 데이터 구조

양자 역학을 기반으로 하는 양자암호통신에서는 각각의 정보를 개별적인 광자에 실어 전송하기 때문에 일부만 도청하는 것이 기본적으로 불가능하며, 침입자가 광자를 불법적으로 가로채 수신자에게 재전송을 하여도 양자 복제 불가능성원리에 의해 같은 정보를 광자에 실어 보내는 것이 불가능하다. 한편 네트워크 기반 다양한 서비스의 폭발적 증대와 함께 해당 서비스의 보안성 보장이 필수적으로 요구되면서 양자암호 통신망의 구축 및 관련 서비스가 다양한 형태로 추진되고 있다. 그러나 양자키 분배(QKD: Quantum Key Distribution) 기술의 발전과는 별개로 이를 활용한 네트워크 구축및 다양한 양자암호 기반 서비스 제공 방안에 관해서는 많은 연구가 필요한 상태이다. 본 논문에서는 양자암호 장치를기반으로, 다양한 양자암호 통신망 장비 간에 양자키를 전달하고 암호화된 전송환경 구현을 위한 통합 데이터 구조를제안하였다.

The Managing Epilepsy Well (MEW) network database: Lessons learned in refining and implementing an integrated data tool in service of a national U.S. Research Collaborative

Epilepsy self-management (ESM) is the summative set of behaviors that people with epilepsy use to cope with seizures and optimize health. This report describes the implementation and evolution of the Managing Epilepsy Well Network Database (MEW DB), an integrated data resource intended to advance knowledge on ESM. The MEW DB utilizes a three-tiered (Tier 1–3) system of data organization, with tiers of data generally increasing in ascending complexity or collection burden. A MEW DB Steering Committee (SC) establishes consensus on planned analyses using a standardized new analysis request template. The data management structure facilitates harmonization and integration of additional data, or to update the database as new data become available. The current MEW DB comprises 1,563 people with epilepsy. Mean age was 39.9 years, 64.9% women (N = 1006), 12.8% African American (N = 170), 22.2% Hispanic (N = 306). On average, individuals have lived with epilepsy since their early 20s and are prescribed between 1 and 2 antiepileptic drugs. The MEW DB spans multiple socio-ecological levels to provide a robust multi-tiered framework for studying ESM. A total of 41 common data elements have been identified through iterative consensus. This integrated database takes advantage of an extensive collective background of archival evidence in ESM and brings together engaged investigators to build a dataset that represents diverse types of individuals with epilepsy, targets health domains important to ESM, and facilitates analyses that would not be possible with sites operating independently. Overall, the MEW DB serves the greater mission of this research collaborative and has potential to advance ESM research.

城市生态智慧管理系统的生态系统服务评估功能与应用

开展生态系统服务评估已经成为国土空间功能管治、城市治理、生态产品价值实现等工作中的先行基础动作。生态系统服务的类型和模型方法多，数据需求复杂，传统基于多学科软件开展生态系统服务评估的工作模式知识和技术门槛较高、效率低。当前专业的生态系统服务评估软件多为美国从业人员开发，对我国的数据构成和本地化参数适应性有限。介绍了我国自主开发的生态系统分析软件（城市生态智慧管理系统，IUEMS）的主要功能和应用情况，并将其的生态系统服务评估功能与InVEST、ARIES等国外主流软件在操作逻辑、评估模型、数据取得、空间精度、界面交互五个方面进行了对比。;Ecosystem services assessment has become more frequently and widely used in land-use management, city management and the valuation of ecosystem benefits. Working with traditional tools from different domains, the variety of ecosystem services and their large data demands place significant requirements on ecosystem assessment efficiency. This has prompted the need for professional ecosystem assessment tools. Most of the current ecosystem assessment software are developed by foreign groups. Parts of these models and their parameters have not been successfully indigenized to Chinese data structure and ecosystem management demands. This paper introduces a Chinese tool for ecosystem assessment, Intelligent Urban Ecosystem Management System (IUEMS), and its application. Addtionally, a comparison of five aspects (operation method, ecosystem services models, data requirement, spatial accuracy and user interface) is made using IUEMS and four other popular ecosystem assessment tools from around the world.

WEB-Based Computer Aided Innovation Design

The development of science and technology, the gradual promotion of various new technology tools in various fields, and mechanical design also actively encourage the continuous application of various new technologies. The design provides higher comfort, greatly reduces product design time, and creates higher economic benefits for the enterprise. The application of computer-aided design in mechanical design is briefly discussed. The scheme design of the mechanical system directly determines the function, quality and cost of the product and is the key to product design. At present, the research and application of computer-aided design technology in the design information expression, structural performance analysis and product data management of general mechanical systems are becoming more mature, but the support for scheme design is still relatively weak. Given that computer-aided solution design of mechanical systems often relies on expertise in specific fields, and may require the use of dedicated design models and specific intelligent design methods based on the characteristics of the design problem, most of its research and development work is aimed at specific areas and used for special purpose systems for mechanical systems. Two principles of innovative design ideas are summarized: the shortest path principle and the similarity principle, the current research flaws based on modern proof technology are analyzed, and a combination of genetic algorithms is proposed to solve it. A quantitative method of physical similarity was proposed, and the similarity was used as the basis to combine genetic algorithm with computer-aided and initial population selection to create an improved genetic algorithm. In this paper, a computer-aided innovation design system based on WEB is studied. This article takes automobile cover molds as an object. When the mechanical system workload is 20J, the traditional method consumes 60,000 yuan, and this article consumes 13,000 yuan. When the mechanical system workload is 60J, the traditional time consumed by this method is 50min, and the time consumed by this method is 15min. The working efficiency of the traditional method is 70%, and the working efficiency of this method is 93%.

A Concept for Blockchain-Based LCA and its Application in the Context of Aircraft MRO

A shift towards new powertrains and alternative energy sources will increase the complexity of future aircraft configurations and demands for comprehensive Life Cycle Assessment. Due to missing data management structures, gathering of reliable life cycle data is time- and cost-intensive and hampers close examination of heterogenic scenarios. Blockchain and its characteristics, i.e. the distributed architecture and immutability of records, are promising for linking multiple stakeholders and tracking data. Therefore, this paper introduces a blockchain-based data management concept for facilitating comprehensive and detailed Life Cycle Assessment and discusses the conceptual approach with a focus on aircraft maintenance, repair and overhaul (MRO).

Building Information Modeling (BIM) in Enhancing the Applying of Knowledge Areas in the Architecture, Engineering and Construction (AEC) Industry

Background: The Architecture, Engineering, and Construction (AEC) industry is one of the sectors that contribute the most to the Palestinian economy. However, it now suffers from many problems, one of which is not adopting new innovations, such as Building Information Modeling (BIM). BIM recently achieved far reaching consideration in the AEC industry. Aim: This research aimed to understand the contribution of BIM to the enhancement and application of Knowledge Areas (KAs) in the AEC industry in Palestine. Methods: A quantitative survey was utilized in the pilot study. Thirty copies of the questionnaire were dispersed to respondents from the target group. The completed questionnaires were analyzed to test for statistical validity and reliability. After the pilot study, the questionnaire was validated and dispersed to the entire sample, comprising respondents from the target group who were selected by convenience sampling. Eighty copies of the questionnaire were dispersed, and 71 copies of the questionnaire were obtained from the respondents with a response rate of 88.8%. Results: To draw meaningful results, the gathered information was analyzed by utilizing quantitative data analysis techniques, including the RII, Pearson correlation analysis, and Factor analysis. Conclusion: The results illustrated the extent of enhancing the application of KAs in the AEC industry using BIM technology from the highest to lowest as follows: Cost Management (CM), Time Management (TM), Resource Management (REM), Procurement Management (PROM), Scope Management (SCM), Stakeholder Management (STM), Integration Management (IM), Quality Management (QM), Communication Management (COM), Risk Management (RM), and Safety Management (SM). As an example, BIM is effectively applied to each KA, and high efficiency is achieved when BIM is applied to TM by 4D modeling; to CM by 5D modeling; to REM by collaboration; to PROM by quantity takeoff; to SCM by element-base; to STM and IM by using integrated project delivery; to QM by using clash detection; to COM by centralized, structured data management, and information flow; to RM by constructability; and to SM by automated safety code checking.

Stakeholder Causal Scope Analysis–Centered Big Data Management for Sustainable Tourism

Sustainability concerns in the tourism industry are underresearched, although both stakeholder relationship management and data analytics knowledge streams have implications to underpin sustainability research and practice. Scholars argue that we have limited knowledge of the potential for analyzing diverse stakeholder relationship management issues from different tourism-related socioeconomic and ecological settings to fully exploit stakeholders’ contribution to tourism sustainability. Big data, as a research field, could offer varied cross-disciplinary implications for sustainable development. However, data analytics research is concerned with simplifying the overall management structure of data. In this context, at the intersection of these three research streams (tourism, stakeholder relationship management, and big data), this research note offers insights into how analyzing stakeholder causal scopes would be instrumental in simplifying tourism data management structure to support sustainability research and practice in the tourism industry.

WITHDRAWN: Research on 3D data modeling of virtual city environment based on GIS

Abstract Analyze the critical technology of the virtual city of 3D data modeling and GIS-based environment. Three-dimensional geographic information system, the recommendations of the three-dimensional geographic information system of the virtual urban environment, built-in three-dimensional geographic information systems, and 3D modeling data part demo support, the actual project. Conventional methods of computer-assisted equipment management system have been used in many fields, such as repair of such power facilities. However, most of these systems, they are the data management structure that has been dealing with only two-dimensional space, it has. Users to search for an interactive three-dimensional space can see the spatial view of the 3D environment. The three-dimensional graphics system would be beneficial for facility management. The describe the three-dimensional virtual city environment geographic information system that has been generated by the computer. Even if the virtual city is extensive, a prototype system and provide for interaction with a user, the system, and three-dimensional space information, not only the information of the geographic information system, can be processed. In this system, the user can get a perfect virtual environment for the geographic information system. Can derive the views needed to suit a particular purpose, called the geographic data, and stores the data from there. Spatial data and non-spatial data (attribute data); there are two types of geographic information data. Non-spatial data contains information about the function.