Passive Data Storage Based Housewares Store Management System

Author(s):  
Yang Xiao ◽  
Guoqi Li ◽  
Juan Zhang
Author(s):  
N. Fumai ◽  
C. Collet ◽  
M. Petroni ◽  
K. Roger ◽  
E. Saab ◽  
...  

Abstract A Patient Data Management System (PDMS) is being developed for use in the Intensive Care Unit (ICU) of the Montreal Children’s Hospital. The PDMS acquires real-time patient data from a network of physiological bedside monitors and facilitates the review and interpretation of this data by presenting it as graphical trends, charts and plots on a color video display. Due to the large amounts of data involved, the data storage and data management processes are an important task of the PDMS. The data management structure must integrate varied data types and provide database support for different applications, while preserving the real-time acquisition of network data. This paper outlines a new data management structure which is based primarily on OS/2’s Extended Edition relational database. The relational database design is expected to solve the query shortcomings of the previous data management structure, as well as offer support for security and concurrency. The discussion will also highlight future advantages available from a network implementation.


Author(s):  
Cesar A. Quiroga ◽  
Darcy Bullock

The architecture of a congestion-management system (CMS) based on global positioning system–geographic information system (GPS-GIS) technology is presented. This CMS is applicable to a road network composed of freeways and principal arterials. The focus is on the CMS structure for controlled-access facilities, which compose the freeway component of the corridor network. The CMS is based on the use of GPS for route identification and traffic monitoring and on GIS for data storage, retrieval, and visualization. A method that allows aggregation of GPS data using highway segments not exceeding 0.32 km (0.2 mi) in length is implemented. Such a method results in considerable savings in data storage needs and provides consistency for analyzing a variety of traffic scenarios. Data collection procedures, data reduction procedures, and data reporting procedures are described.


2013 ◽  
Author(s):  
Neil Vosburg ◽  
Rastko Selmic ◽  
Stephen Oonk ◽  
Francisco Maldonado

Author(s):  
Lin Jin ◽  
◽  
Changhong Yan

With the rapid development of mobile internet and smart city, video surveillance is popular in areas such as transportation, schools, homes, and shopping malls. It is important subject to manage the massive videos quickly and accurately. This paper tries to use Hadoop cloud platform for massive video data storage, transcoding and retrieval. The key technologies of cloud computing and Hadoop are introduced firstly in the paper. Then, we analyze the functions of video management platform, such as user management, videos storage, videos transcoding, and videos retrieval. According to the basic functions and cloud computing, each module design process and figure are provided in the paper. The massive videos management system based on cloud platform will be better than the traditional videos management system in the aspects of storage capacity, transcoding performance and retrieval speed.


2020 ◽  
Vol 17 (8) ◽  
pp. 3653-3656
Author(s):  
Asha Pandian ◽  
Ravuru Sai Harsha ◽  
Porachenu Ravi Theja ◽  
Tadavarthi Sai Krishna

The suggested work extends to all of the police cells around the whole country and tackles the problem of Crime Data Management in particular. Crime prevention, identification, and prosecution of offenders is well understood to rely on an extremely sensitive framework of data management. Police service reliability and the potential with which it fights violence depends on the type of info they can obtain from their current databases and how easily they can gain it. The program will initially be applied across the complete cities and the towns and then interconnected so as a police officer can gather data from all databases in the state itself, thus serving to solve investigations efficiently and effectively. The project was designed to take a view of distributed architecture, with unified database depot. The program was intended for the data storage. Using the SQL server’s constructs and all the user interfaces were built utilizing DOT Net techniques.


2018 ◽  
Vol 226 ◽  
pp. 04021
Author(s):  
Mikhail V. Poskonin ◽  
Andrey O. Kalinin ◽  
Igor V. Kovalev ◽  
Mikhail V. Saramud

The article considers the issue of storage, cataloging and transfer of documentation within the electronic document management system (EDMS). Modern document management solutions can be considered as the intersection of traditional and digital technologies, in particular, the storage of software code on paper. The very storage of program code in paper version implies a large archive for data storage, which includes modifications when versions of the program code are updated. Graphical ways of storing large amounts of data have been known for a long time, but they usually use a long procedure for restoring the original information and exclude recovery from paper or are significantly limited in the amount of stored data. As one of the elements of the composite electronic document management system it is proposed to use the method of graphical encoding of information (QR-code generation technology), which will increase the resistance to unauthorized modification of the program code, simplify the procedure for storing, identifying and verifying information. As an elementary block of information, it is intended to use a separate software module responsible for one of the subprograms in the RTOS environment. The proposed algorithm for storing and transferring information implies its compression by software, encryption and transmission. The article compares various compression algorithms and their efficiency. The presence of a cataloguer in each graphic element allows for quick search, comparison and verification of blocks.


Author(s):  
Malhar Gadade ◽  
Kishor Kolekar ◽  
Vinayak Jadhav ◽  
Aditya Kairamkonda ◽  
Parimal Kurapati ◽  
...  

Organic food store management system is a desktop application to empower people or a small-scale businessman to manage the store, in each and every way possible. This management system aims to simplify and modernize the work efficiency of the businessman. Organic food store management system is a software developed for the shop where they sell or make only organic food materials which further aims to keep people free form chemicalized food material and helps to increase social as well as geological health. It ethically aims to save mother earth by saving paper, plastic etc. And hence contributes to the good health of mother earth. As we all know that the world and business culture are rapidly increasing, we have to be growth full towards the technology and should be more aimful to save manpower or more handwork towards a very ease technological or computerized shop or business which can further aim in ethical handling of the business. Here, in this software there are three main role players; Admin, Cashier and Customer. Particularly each role player has a privilege to comprehensively work on the software. Various operations such as Bill Creation, Stock Management, Virtual Display of product Info, Display of Pamphlets Virtually and many such, can be done with the use of this software. The genesis of the review pampers to save time, money as well as pamper Mother Earth.


2006 ◽  
Vol 130 (6) ◽  
pp. 817-822
Author(s):  
James D. Cowan ◽  
David L. Rimm ◽  
David P. Tuck

Abstract Context.—Compared with DNA microarray technology, relatively little information is available concerning the special requirements, design influences, and implementation strategies of data systems for tissue microarray technology. These issues include the requirement to accommodate new and different data elements for each new project as well as the need to interact with pre-existing models for clinical, biological, and specimen-related data. Objective.—To design and implement a flexible, scalable tissue microarray data storage and management system that could accommodate information regarding different disease types and different clinical investigators, and different clinical investigation questions, all of which could potentially contribute unforeseen data types that require dynamic integration with existing data. Design.—The unpredictability of the data elements combined with the novelty of automated analysis algorithms and controlled vocabulary standards in this area require flexible designs and practical decisions. Our design includes a custom Java-based persistence layer to mediate and facilitate interaction with an object-relational database model and a novel database schema. User interaction is provided through a Java Servlet–based Web interface. Results.—Cruella has become an indispensable resource and is used by dozens of researchers every day. The system stores millions of experimental values covering more than 300 biological markers and more than 30 disease types. The experimental data are merged with clinical data that has been aggregated from multiple sources and is available to the researchers for management, analysis, and export. Conclusion.—Cruella addresses many of the special considerations for managing tissue microarray experimental data and the associated clinical information. A metadata-driven approach provides a practical solution to many of the unique issues inherent in tissue microarray research, and allows relatively straightforward interoperability with and accommodation of new data models.


Author(s):  
Hadjira Belaidi ◽  
Zakaria Rabiai

In these last decades, electrical power grids become more intelligent. Hence, sophisticated software and hardware were introduced to the power grid, which makes it a smart grid. This chapter is an introduction on smart-grid technology; thus, microgrids are explained, and the use of multiagent system in centralized/decentralized energy management systems are discussed and compared. Smart agents are an emerging technology for decentralized computation and data storage. Hence, in this chapter, decentralized energy management system is created basing on multi-agent system technique where sources and loads are considered as separated agents each of them. After that, these sources and load create a microgrid and each microgrid can be considered as an agent. The work proposes an approach for load supplying optimization to decrease the microgrid cost and enhance its efficiency.


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