Model Of Database System Research Articles

Standardized Telemedicine Software Development Kit with Hybrid Cloud Support

In modern Web development, it is expected that systems operating in the same area can be easily integrated. For common integration points, it is recommended to use a standardized data model and a common interface during the development as this will facilitate further integrations. The use of the cloud infrastructure is increasingly popular in telemedicine, but taking into account the goals, the productivity of the development, the availability of the system and the various regulations, choosing the right solution is not trivial. Inclouded platform consists of numerous currently active telemedical microservices that are working with a common software development kit. This tool provides a standardized data model for document-oriented database systems, has support for public and private clouds by using the classic Data Access Object (DAO) analogy and contains a lot of convenient functions as well. Furthermore, it is found that our solutions can significantly increase development productivity and is confirmed by measurements taken which involved software developers.

Automation of Databases in Oracle

Abstract: Ever since notable advancements were made concerning Database Management and regulation in the early 2000s, Automation of Databases in the Oracle environment have long been a crucial topic for research and development within the Computer Science and Information Technology sector. This research paper aims to explain what all factors necessarily require automation whilst bringing into light the growing demand for automation database management. As organizations across the globe face the imminent issue of overwhelming volumes of data, efficient database management systems that offer minimum complications are highly in demand. The paper not only highlights automation of various tasks such as routine maintenance, performance tuning, backup and recovery routine, but also emphasises the importance of security enhancements, real-time monitoring and scalability whilst placing forth key requirements of automation in general. The research presents a smarter and more robust database system model that can manage itself without the need of constant monitoring or intervention. Furthermore, we discuss the combining of cloud-based technologies such as Oracle Cloud and other containerization techniques to make the database more flexible and sustainable, all while keeping in mind the importance of having absolute rules and procedures for managing data in an automated system, which ensures that the data is well-organized, complies with legal requirements and is ready to be audited for accountability if needed. To conclude, the paper suggests nurturing practices of setting up systems that keep track of changes and versions to automate the infrastructure and managing of databases more consistently and efficiently. As organizations delve deeper into the landscape of database automation, they inadvertently face several challenges such as accuracy, security and accessibility of the data. This research paper specifically explores the requirements that promise to reshape the future of data management.

Study on the Use of Multidimensional Database Systems for Demography Data Analysis

The demography database system should be very useful for various purposes in overcoming the socio-economic problems of the population, such as the distribution of charity, especially for people affected by the Covid-19 pandemic. For example, those who have lost their jobs, those who have difficulty in accessing medical services, etc., or for general election data, for example, presidential election, legislator election, or governor election. But unfortunately, the demography database system in our country, Indonesia still has many problems. Things to consider are that there is no integration between databases at the central and local governments, besides that there is no synchronization of data between institutions. As a result, there are many mistakes in the distribution of charity for people affected by the Covid-19 pandemic in 2020, such as those who should receive do not receive it, and those who should not receive it receive it. This problem can be caused by the absence of a definite reference in the population data. As an example, On the time dimension, one year's data can be multi-interpreted both between the central and the regions government as well as between agencies. This study aims to build an integrated demography database system through a multidimensional database system model. In the multidimensional database system, the data is a cell that can show information from multi-dimensions (such as spatial, temporal, and variable). Each dimension in a multidimensional database system is interconnected in a system so that it can eliminate multiple interpretations of data in one dimension or between dimensions. Each dimension in a multidimensional database system can be arranged in a hierarchy. In the spatial dimension, it can be arranged based on a hierarchy of administrative units, such as from state down to province, then district/city, sub-district, village, and so on. So that it can eliminate the non-integration between data on the central and local governments. In the dimension of variable, it can be arranged based on the level of detail of demography data, and the total population as the top level of detail. While the next level of detail can be arranged based on criteria from demographic data such as sex, age, occupation, education, etc. So that it can eliminate the non-synchronization of data between institutions.

Research and design of CRT-based homomorphic ciphertext database system

The cloud’s storage and query of private information have the cryptographic scholar due to the proliferation of cloud computing. In the traditional query mode, the private information stored in the cloud is at risk of being leaked. In order to solve this problem, a cloud ciphertext database system based on homomorphic encryption is a valid workaround. This paper presents a new cloud ciphertext database system model, which is based on the existing ciphertext database mode research and homomorphic properties. This paper also implements a ciphertext database system based on a CRT-based additive homomorphic scheme according to the model. Through theoretical analysis, the model is CPA-level safe and correct. The experimental results show that users can correctly query and download the data in the ciphertext database on the untrusted cloud server through the model, and it has efficiency advantages.

LncRNAWiki 2.0: a knowledgebase of human long non-coding RNAs with enhanced curation model and database system.

LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by incorporating more experimentally validated lncRNAs. Since it was built based on MediaWiki as its database system, it fails to manage data in a structured way and is ineffective to support systematic exploration of lncRNAs. Here we present LncRNAWiki 2.0 (https://ngdc.cncb.ac.cn/lncrnawiki), which is significantly improved with enhanced database system and curation model. In LncRNAWiki 2.0, all contents are organized in a structured manner powered by MySQL/Java and curators are able to submit/edit annotations based on the curation model that includes a wider range of annotation items. Moreover, it is equipped with popular online tools to help users identify lncRNAs with potentially important functions, and provides more user-friendly web interfaces to facilitate data curation, retrieval and visualization. Consequently, LncRNAWiki 2.0 incorporates a total of 2512 lncRNAs and 106 242 associations for disease, function, drug, interacting partner, molecular signature, experimental sample, CRISPR design, etc., thus providing a comprehensive and up-to-date resource of functionally annotated lncRNAs in human.

A Newly Proposed Cloud Computing Based Strengthen Distributed Database System Model and Its Applications in Database Modelling

Abstract: In the modern era of today’s exceptional Information age, the day to day transactions of huge sensitive data sets, which is in the form of PBs (Peta-Bytes) 250 bytes and YBs (Yotta – Bytes) 280 bytes are drastically increases with enormous speed on CLOUD data storage environment. CLOUDs data storage environment are one of the most superior and reliable platform for storing a large sets of data both at enterprise level or local level. Because CLOUD provides online data fetching capability to restore or fetching data at any geographical locations through login their correspondent credentials. But to enhancement or spread of these large data sets are becomes also very complex with respect to maintenance of these data with take concern of consistency and data security, because to maintain these large data sets with full of consistency and integrity are really a very typical and rational tasks, so here In this paper we proposed a distributed database management systems for CLOUD interface also preserves or to take concern data security features with full restoration of CIA (Confidentiality, Integrity, Availability or Authenticity) trade of Information Security. Here we also improvised the mechanisms of traditional distributed database management systems because the tendency to preserves information and recover ability after any misconceptions happens that we restore data which belongs to similar person may have to be stored at different locations, but this newly proposed distributed database systems architecture contains all information or record which belong to similar person are stored in one database rather restore it different databases but the location of these data have to be changes mean while that the content or data which resides in one databases have to be moved to some other database and also preserves the security features, and this model also have capability to run older traditional methodology based distributed database management systems using this model. So the detailed description about these models and communication infrastructure among different CLOUDs are append in the upcoming sections of this paper. Keywords: Cloud based Distributed Database system model, Distributed system, Distributed Database model of CLOUD, Cloud Distributed Database, CLOUD based database systems

Verifiable Access Technology of Hybrid Database in Distributed System Under Big Data

Targeting at the problem that the existing hybrid database solutions can not simultaneously realize the client’s verification and access function to the encrypted data in the public cloud database and the cross database query function in the heterogeneous database environment, this paper designs an access and integration middleware to realize the client’s verification and access function to the heterogeneous hybrid database in the public cloud and the cross database query function. Access and integration middleware is composed of verification access component and heterogeneous database data integration method. The verification and access component reconstructs the protocol interaction process based on MySQL protocol, and encrypts and decrypts the encrypted data in the public cloud database through the existing hybrid database scheme, so as to realize the client’s verification and access to the encrypted data in the cloud database. The heterogeneous database data integration method unifies the data from different types of databases, and then integrates them into the same database, and uses this database for query operation to realize cross database query. This paper first analyzes the hybrid database system model, then designs from the aspects of MySQL protocol analysis, verification access, data integration, and finally analyzes the access and integration middleware from the aspects of functionality and security.

A Design of New Product Database System for Supporting Step-Compliant Total Integration Applications

Computer technology has become a very important element in an advanced manufacturing system. The good and systematic data model for the exchange of manufacturing information between different stages of development of product life cycle is paramount to ensure the product is manufactured and delivered to the market successfully. As a result, ISO 10303, an international standard, or well known as Standard for Exchange of Product Model Data (STEP) is not just for providing a neutral data format within the heterogenous CAD systems, its functionality has extended to the whole life cycle of product. STEP Part 21 is the first implementation method from EXPRESS modelling language and implemented successfully as neutral product data to integrate heterogeneous CAD platform. However, this CAD STEP Part21 text file is hardly to be applied in manufacturing processes since it consists of purely geometrical and topological data. In this research, a nonprocedural approach is presented to translate the EXPRESS language model of STEP CAD data into a new product database system model. A new nonprocedural approach of data enrichment and automated machining feature recognition is proposed and implemented on this newly developed product database system and provide a solution for the interrelated tasks of automated machining feature recognition: (1) extraction of geometrical feature from STEP CAD model data of the part (2) formation of part representation suitable for form feature identification (3) matching of form features. This paper proves the validity of this newly developed product database system by translating STEP Part21 file from a commercial CAD system to database system format, data enrichment, performing automated machining feature recognition and lastly generating STEP standard data according to AP224 for supporting STEP based process planning and manufacturing applications.

How to Development E-Learning Model of Data Base System

This study aims to develop products in the form of teaching materials database system subjects with the application of e-learning. The research method used is the R&D method. The results of the formative one-to-one learner evaluation were carried out between the developer and three individual students. Tech reading in learning materials in information and communication technology courses is very clear and can be read by students well. The quality of the images displayed in the learning material and e-learning is very good and in accordance with the material content of clarity of basic competencies to be achieved and indicators of material presentation on learning materials and e-learning programs in the Database Systems course have been very good and easily understood by students.

Information-logical model of database system of intellectual support of decision-making in wireless communication managing

Information-logical model of database system of intellectual support of decision-making in wireless communication managing

Remote Sensor Network based on Data Mining in Photovoltaic Power Generation

The specific implementation mode of remote equipment monitoring for remote sensor networks in photovoltaic power systems using web-based gateways is described in detail. Message conversion and transmission in the process of data transmission using Ethernet and a communication mode are explained. The sensor signal is converted to light or electrical signals by the remote monitoring system. Many problems can be resolved effectively using a remote sensor network. A mining database system model Web facing has been proposed using database mining, log files, and user profiles.

Research on Intelligent Tool Selection System Based on Optimization Model

Over the last few decades, the range of engineering materials encountered in machine shops has increased greatly, as has the variety of cutting tools that are capable of machining these materials. The tasks of tool selection and cutting parameter recommendation for performing the operations are complex and require development of intelligent system. A cutting tool database system model is proposed in this paper. And base on the model, this paper presents a cutting tool database system for selection of cutting tools and conditions of turning operations. The model incorporates intelligent tool selection technology, optimization methods of tool selection and cutting parameter. An application example of the system was performed to demonstrate the practicability and validity of the prototype system.

Relational Databases: Codd, Stonebraker, and Ellison

In 1970, an article by Edgar F. Codd determined the primary direction of high-level database languages for the next 40 years. The authors give an overview of the relational model for database systems, then highlight three of the masterminds who created and developed it: Codd, Michael Stonebraker, and Larry Ellison.

Hierarchical replication and multiversion concurrency control model for mobile database systems (MDS)

In mobile ad hoc network, the existing replication technique and multiversion scheme increase the cost of overhead. In addition, there is possibility of mobility- and energy-related issues. In order to overcome these issues, in this paper, we propose a hierarchical replication and multiversion concurrency control model for mobile database systems. In this technique, cluster heads (CHs) are selected based on the distance from the past node movements. When the client raises a query, the database server distributes the replicated data to the nearer cluster heads. When any CH observes that one of its members is about to move, then it suggests the nearest cluster having the same data object to the moving client, so that it can quickly access the data during its movement. For concurrency control, each CH maintains a concurrency table for each of its replicated data object. By simulation results, we show that the proposed technique reduces the overhead and energy consumption.

Communication Principle of Literature Database Based on Spatial and Temporal Segmentation Technology

In this paper we introduce cross tree and block mathematical principles into the design of database system, divide the time sequence and storage space of computer database system, establish the mathematical model and algorithm of computer resources database system, and design the test database system. In this paper, we use high performance interface of Display Port, by way of coupling to communicate on two port control, and use RHEL 6.2 Linux virtual machine to do simulation experiment on process of database system. Through the simulation we find the API which is called by Read, Close, Mmap, Stat, Fstat is similar. It is consistent with the actual situation, and verifies the reliability of the program. Finally, we apply the database system to the network database construction of sports literature resources in the new town of Poyang Lake area. It reaches the effect that sport resources are shared by all. It provides technical support for the application of computer database system.

The Study on the Multiple Agent-Based Independent and Collaborative Intelligent Tutoring System Model

Over the years, the traditional computer-assisted teaching can not meet the needs of university teaching, the traditional teaching system software, most of the existence of low intelligence, lack of teaching strategies and other shortcomings.Multi-AGENT technology and intelligent tutoring systems is the current research focus in computer intelligence education. Integrating multi-Agent features and multi-Agent application theories in ITS, this paper proposes a multiple Agent-based intelligent network tutoring system design model, detailedly analyzes the functions of each layer in the system, and presents system database category design and system model features.

Application Research on Real-Time Database System Model Based on Distributed System of Cloud Manufacturing

This paper analyzed on real-time database system, and applied the cloud manufacturing technology and distributed system technology to the database system model. Through the analysis on the real time database, we can got the distributed real-time data system types and data storage model, establish two kinds of memory T-mode and S-mode, database storage model and make the production of block. Finally establish the work flow of distributed real-time database system, get relevant application program. A large number of real-time data collection and administration can be realized, which can improve the real-time information data processing efficiency and system model performance. Through the establishment of model and analysis of its working process in the real-time distributed system real time database application path, it can provide guidance for the establishment of distributed real-time database system model.

Simulation of hierarchical multiprocessor database systems

The paper is dedicated to issues concerning simulation and analysis of hierarchical multiprocessor systems oriented to database applications. Requirements for a parallel database system model are given. A survey and comparative analysis of known parallel database system models are presented. A new multiprocessor database system model is introduced. This model allows us to simulate and evaluate arbitrary hierarchical multiprocessor configurations in the context of the OLTP class database applications. Examples of using the database multiprocessor model for simulation study of multiprocessor database systems are presented.

The Research of Button Battery Automatic Production Line Remote Fault Analysis

This article unifies the Li/Mno2button battery automatic production line of production practice, using C/S two-layer system with the B/S three layer architecture combines database system model, mainly expounds the production line in remote fault diagnosis system of fault data analysis and diagnosis method and so on.

고속 데이터베이스 시스템을 위한 컬럼-인지 양분화 기법

Recently, column-oriented storage has become a progressive model for high-speed database systems because of its superior I/O performance. In this paper, we analysis traditional raw-oriented storage model and then propose a new column-aware storage management model using flash memory drive and assist drive to improve the effective performance of the high-speed column-oriented database system. Our storage management scheme called column-aware polarization improves the performance of update operation by dividing and compressing table columns into active-columns or inactive-columns, and balancing congested update operations using a assist drive in high workload periods. The results obtained from experimental tests show that our scheme improves the update throughput of column-oriented storage by 19 percent, and the response time by up to 49 percent. ☞ keyword : 컬럼-지향 저장(Column-oriented Storage), 컬럼-압축(Column-Compression), 고속플래시메모리(High-Speed Flash Memory), 대용량저장소(Large-Volume Storage)