Database Management Technology Research Articles

System Recognizes the Digital Image of Pistol Shell Casings by Developing Algorithms Combined with Deep Learning

Gun-related violence in Thailand is in a high rate. Resume reports showed that most of them caused by gun-shooting.Thus, Firearms and bullets are important evidence in the judicial process to link the events and the perpetrators.Therefore, the aim of this study was to present the system recognizes the digital image of pistol shell casings by developing algorithms combined with deep learning. The objectives of this forensic study were to 1) analyze, design, and develop a Pistol Identification System (PIS) based on breech face marks of cartridge case digital images, and 2) achieve a guideline or an alternative method for facilitating an expert to investigate firearms linked to the offender. In this research the PIS that was designed with programming language applied to develop algorithms for identification of the breech face marks of cartridge case digital images. In addition to that, MATLAB’s tools were applied in the deep learning process to achieve the final PIS model. The steps of deep learning technique were composed of designing a training and repeat the experiments over multiple cycles (Epoch) for the purpose of confirming, test and adjust the proportions of the hidden layers until reaching the ratio of 80:10:10 and accomplishing a satisfied averaged accuracy rate. The PIS model was subsequently used for comparison and predict the image pair through database management technology. Materials used in this study were composed of 50,000 images of rear plates of .38 Cartridge case, Camera, Mobile Phone, Computer, MATLAB language and Microsoft Access software. The findings showed that the PIS developed is of satisfactory accuracy capable of accurately matching the pairs of images stored in the database and could also be traced back to the gun used at the scene and gun owners. The results of this study would apply as the alternative or guideline to PIS and even would help forensic practitioners to cross-checking and investigating firearms in relation to the offender.

Blockchain-based distributed database management technology

currently, the development of a new class of software called “decentralized applications” is gaining popularity. Its foundations were laid by the technologies of Bitcoin and BitTorrent, aroused the interest of developers in the methods of their implementation. Over the past few years, the whole world has been excited by the explosion in popularity of cryptocurrencies, which has brought blockchain technology into the spotlight. its application is not limited to the creation of electronic money and platforms for their exchange. One of the promising areas for the introduction of blockchain technology is its use in the banking sector to improve the security of operations and reduce costs. This paper focuses on Blockchain technology and investigates its applications, implementations, and constituents. and how blockchain applications enhancing database management.

Analysis of Autonomous Maintenance Activities Using FUZZY ARAS Method

Automated maintenance is a maintenance strategy where machine operators monitor their equipment and make changes and perform minor maintenance tasks. The ultimate goal of total production maintenance is to improve the efficiency of a company's overall equipment. That's why it starts with autonomous maintenance. This efficient maintenance is simple and frees employees from worrying about routine maintenance tasks, allowing them to focus on specialized care programs, alternative database management, data storage, data analysis, and sensor technology. The evaluation options are preventive maintenance, condition-based maintenance, and predictive maintenance. The fuzzy ARAS method determines the optimal solution at a short range from the analysis and the negative-optimal solution at a long distance from the solution, but the relative importance of these distances is not significant. The results show that condition-based maintenance ranks first, while predictive maintenance has the lowest rank.

The Roles and Mechanisms of lncRNAs in Liver Fibrosis.

Long non-coding RNAs (lncRNAs) can potentially regulate all aspects of cellular activity including differentiation and development, metabolism, proliferation, apoptosis, and activation, and benefited from advances in transcriptomic and genomic research techniques and database management technologies, its functions and mechanisms in physiological and pathological states have been widely reported. Liver fibrosis is typically characterized by a reversible wound healing response, often accompanied by an excessive accumulation of extracellular matrix. In recent years, a range of lncRNAs have been investigated and found to be involved in several cellular-level regulatory processes as competing endogenous RNAs (ceRNAs) that play an important role in the development of liver fibrosis. A variety of lncRNAs have also been shown to contribute to the altered cell cycle, proliferation profile associated with the accelerated development of liver fibrosis. This review aims to discuss the functions and mechanisms of lncRNAs in the development and regression of liver fibrosis, to explore the major lncRNAs involved in the signaling pathways regulating liver fibrosis, to elucidate the mechanisms mediated by lncRNA dysregulation and to provide new diagnostic and therapeutic strategies for liver fibrosis.

Poor University Students Management System Based on Web

Combining with the actual work of the poverty aid management in F University, this paper analyzes the work flow of the poverty aid management in University, designs and develops the Poor University Students Management System. The system uses web architecture mode, JSP programming technology and SQL Server database management technology. The system is composed of four modules: system management module, institute management module, class management module and student management module. It realizes the functions of poor students’ information collection, poor students’ application, students’ information query and poverty level audit. It improves the efficiency of poor students’ management and realizes the networking, automation and informatization of poor students’ management.

Research on data mining system based on artificial intelligence and improved genetic algorithm

Due to the explosive increase of data scale, the traditional database management technology can no longer satisfy and analyze these data. Data acquisition technology is a tool that can process data effectively. The research of data acquisition has produced many new concepts and methods, which enrich and improve the data acquisition technology and establish the theoretical system. The relevant extraction criteria are an important branch of data extraction and one of the most important research fields. The use of genetic algorithms to mine related standards has been widely used, but traditional genetic algorithms are easy to be used. Therefore, under the best conditions, the application of better genetic algorithm to mine the relevant standards is a key problem to be dealt with in this paper.

Data Management Framework for Internet of Things

The Internet of Things (IoT) is the dynamic and global network of smart interconnected objects connected to each other through the internet. IoT is generating massive volume of heterogenous, continuously streaming data. Database requirements to store and analyze IoT data are unique. This paper focuses on data life cycle, characteristics and the challenges to store IoT data and makes few recommendations on different selection criteria that can be considered for selecting database management technologies. It also explores core IoT components and explains how data management requirements are distinct for different layers of IoT architecture. The paper also touches upon emergence of fog computing and its role in IoT.

Production line 3D visualization monitoring system design based on OpenGL

New production line management technologies are required and adopted recently with the development of modern manufacturing industry. In this study, a production line three-dimensional (3D) visualization monitoring system based on OpenGL modeling, open database connectivity (ODBC), and database management technology is established on a VC++6.0 platform to satisfy effective production. A client/server model is adopted in the system, and data on processing information, interactive operation, and failure process are stored in the server side database. A client reads the workpiece process information from the server, and the machining process of every workpiece is visually represented in the form of 3D visualization. Production line 3D visualization provides production capacity simulation to optimize the parameter settings. When compared with the analysis results of production line capacity, the key parameters possess the same optimal values, and this proves the accuracy of production line 3D visualization monitoring system. The system provides effective data support for production line monitoring and management in enterprises.

FOOD COMPOSITION DATABASE IN MACEDONIA- NEED AND IMPORTANCE

Food Composition Databases (FCDBs) represent fundamental information resources for nutrition science. The information is used for wide spectrum of purposes i.e. for food labelling, product development and innovation, dietary treatment, consumer information and research. Thus, high quality food composition data are fundamental to most issues related to nutrition and health and their importance is increasingly being recognized for agriculture, trade and economics. INFOODS is the International Network of Food Data Systems. It is a worldwide network of food composition experts aiming to improve the quality, availability, reliability and use of food composition data. Twenty-Eight European countries has developed the Food Composition Databases. The development of Food composition databases depends on the combination of the expertise of a diversity of specialists with professional background from agronomy, analytical and food chemistry, food technology, dietetics and nutrition to database and quality management and information technology. To support this European Food Information Resource (EuroFIR) has developed various training tools for the production and use of food composition data. However, many countries in Balkan region do not have any form of national food composition data or have been using borrowed information. This is a problem because people need essential information on food composition as well as an access to the information in order they can influence their own dietary patterns. Republic of Macedonia needs to move forward and improve the contribution to development of the FCDB and share it with different stakeholders. There is a need to prepare and implement measures like: increasing capacity development in generating and compiling food composition data; strengthen collaboration with other national and international bodies, organizations and projects working on food composition issues; incorporation of food composition into formal education curricula of schools and universities in nutrition, food science, dietetics and grants to various training and capacity building activities.

Decision support systems in manufacturing: a survey and future trends

PurposeThis paper aims to propose a theoretical decision support framework, which integrates artificial intelligence (AI), discrete-event simulation (DES) and database management technologies so as to determine the steady state flow of items (e.g. fixtures, jigs, tools, etc.) in manufacturing.Design/methodology/approachThe existing literature was carefully reviewed to address the state of the arts in decision support systems (DSS), the shortcomings of pure simulation-based and pure AI-based DSS. A conceptual example is illustrated to show the integrated application of AI, simulation and database components of the proposed DSS framework.FindingsRecent DSS studies have revealed the limitations of pure simulation-based and pure AI-based DSS. A new DSS framework is required in manufacturing to address these limitations, taking into account the problems of flowing items.Research limitations/implicationsThe theoretical DSS framework is proposed using simple rules and equations. This implies that it is not complex for software development and implementation. Practical data are not presented in this paper. A real DSS will be developed using the proposed theoretical framework and realistic results will be presented in the near future.Originality/valueThe proposed theoretical framework reveals how the integrated components of DSS can work together in manufacturing in order to determine the stable flow of items in a specific production period. Especially, the integrated performance of case-based reasoning (CBR) and DES is conceptually illustrated.

OSH Management Systems: The Plan-Do-Check-Act Cycle

Are your occupational safety and health (OSH) management systems powered with Relational Database Management Technology (RDMT) or equivalent technology?
 That is, do they share OSH compliance management data relationally within and between multiple programs?
 In the previous two issues of Journal of System Safety, I introduced two important aspects of effective occupational safety and health (OSH) management systems (MS):
 
 Content: i.e., they are built on Federal regulations and official guidelines only
 Structure: i.e. they manage multiple programs based on or similar to the Plan-Do-Check-Act (PDCA) model of “continuous improvement.”

Real-Time Monitoring System of Microseismic Signal based on Virtual Instrument and Wavelet Analysis

Seismic acquisition and monitoring system can collect, store, analyze and dispose the rock burst seismic waves or the vibration of other objects. This paper utilizes single chip computer technology, virtual instrument technology, sen- sor technology, database management technology, wavelet analysis technology, combining the real condition of the mine microseismic signal to establish a set of mine microseismic signal real time monitoring and warning system. Finish the seismic signals data collection by the single chip microcomputer and its periphery circuit design, meanwhile use the pow- erful graphical programming capabilities and flexible diversify data processing functions of the LabVIEW software, com- bining with advanced digital signal processing technology such as wavelet transform to complete seismic signal acquisi- tion and filtering processing, records and analysis, monitoring and early warning functions which offers evidence for the safety monitoring of underground mine and has a good application prospect.

Design and Implementation of Information System of 3D City of Geotechnical Engineering

To meet the demand for the geotechnical information system management, this paper has put forward a plan to develop the management information system by using GIS and commercial database management technology. It has also described and analyzed the development of the function modules of the system and designed its module structure architecture for further development of the system. The GIS and database technology may be applied in managing, analyzing and evaluating the sea-volume geotechnical information data and help realize information sharing and provide policy-making support for the city planning, construction and management.

Development and Application of CAD Technology in Railway Vehicle Studying

The emergence and development of CAD technology, and its development and current status of applied research on rail vehicle in our country is introduced. For four key technologies of CAD on digital design direction of rail vehicles, which are integrated, modular, parametric, data management and control, is discussed detailed. What’s more, the direction of rail vehicle design is referred to, which introduces new innovation of TRIZ, universal design and reconfigurable design in theory, changes reverse engineering to top-down design in the design method, realizes the organic combination of modular and integrated in design platform development, and accelerates basic technology research which contains unstructured data processing technology, non-relational database management technology and visualization technology in data management .

The System Development and Implementation of Design Drawings Management and Archive Combination

In the digital and information times, the use of computer networks and related technology to the production of our work has brought great changes. This article describes the use of computer networks and graphics processing technology, automatic identification technology, database management technology to manage and archive the plot combine to increase productivity of case.

Research on Management Information System of University Archives Based on B/S Mode

By using.NET and SQL Server database management technology, anf this paper adopts B/S frame structure, innovatively designs the archives of Colleges and universities with database management system by C#.NET development technology. The association archives information data mining and improves the efficiency of archives management and inquiry statistics. The system uses MD5 encryption to encrypt user login system. The file can be printed information visualization, and the system can decently uses the internal operation of efficient. A detailed understanding of the different student user operation is convenient for the latter system, which can be used to update maintenance, accurate positioning system fault, which has high reliability, high security, scalability, easy expansibility and reusability.

Simulation Study of Waveform Variation of Fixed Assets Based on Logical Database Structure

Investment in fixed assets is the main aspects of the national government to implement macro-control economy, and it is also the pillar of national economic growth. At the same time, the investment of enterprise fixed assets is to upgrade its commercial value and add the main source of income. However, in the current business competition, many enterprises especially private enterprises often make the mistake of judgment, resulting in too much investment, investment deviation and other consequences, which blocks the development of enterprises and the growth of the national economy. Firstly, this paper analyzes the computer aided technology, and constructs the fixed asset investment model based on database management technology, and does computer simulation on this model. The results show that the investment model can help enterprises to make reasonable investment decision and support theory, which promotes the enterprise value.

Analysis of Effective Operation and Maintenance of Computer Database

With the development of the era and the progress of the science and technology, the computer database management technology is entering a golden period of development. It plays an important role in improving the quality of the computer database and the process of development of socialist market economy. It is not only an important part of the information technology management system, but is also derived from the information technology management system. But in the real life and production, computer database management technology has some new problems and contradictions. Therefore, from the point of view of the computer database and the management technology, to study the existing problems and find out the corresponding solution measures is a topic the current people are keen to study.

Strategy in Direct and Interactive Marketing and Integrated Marketing Communications

Continuing advances in database management and communication technologies have greatly accelerated the ability of marketing to become more direct, highly focused, and increasingly interactive. Academic programs must be able to provide students with both the theoretical knowledge and the applied skills to meet the business expectations and provide students with distinctive and sustainable career advantages. Professionals in direct and interactive marketing (DIM) and integrated marketing communications (IMC) have worked to reach a profitable balance between science and art as well as technique and creativity. At its best, DIM in IMC combines the freedom to explore new worlds of creativity with the discipline of measured response. This paper offers an overview of direct and interactive marketing strategy concepts, presented in ways that encourage effective teaching and learning.

The Design and Implementation of an Intelligent Apparel Recommend Expert System

Now with the rapid development of information science and technology, intelligent apparel recommend has drawn wide attention in apparel retail industry. Intelligent management and effective recommend are two issues of crucial importance for the retail store to enhance its corporate influence and increase its economic benefits. This paper proposes an intelligent recommend system design scheme for apparel retail which is based on expert system. By comprehensive utilization of database management and expert system technology, the proposed system provides a solid solution in improving the customer shopping experience. This paper presents a kind of object-oriented blackboard structure, which is applied in the apparel recommend expert system and establishes expert rule on the basis of apparel characteristic elements. Through the establishment of the rule base, the system generates personal recommend list by positive rule reasoning mechanism engine. The proposed method thus gives dress collocation scheme for the customer through the human-machine interaction from the point of view of the apparel experts. This design scheme avails the customers to experience targeted service with intellectualization, and personalization and it has certain reference significance for promoting apparel retail intelligence development.