Information System Hardware Research Articles

INFORMATION SYSTEM OF TESTING LABORATORY FOR RADIATION CONTROL

Development of information-analytical system of radiation control is based on existing methods and hardware-software measuring instruments for the purpose of systematizing, storing and processing the results of analysis of samples of various composition and origin. Studying a large flow of environmental and technological samples includes the most difficult task to ensure the required accuracy of calculation of activities and errors, especially at low activities levels at the threshold of detectable area. The information system hardware includes a set of devices designed to measure the activity of the samples, and a local computer network. The server part of the software package includes a client-server database management system and a web application for database administration. In addition to the standard programs included in the delivery of radiometric equipment the client part of the software package includes the program "ODRA", developed using object-oriented language C# in Microsoft Visual Studio. The program "ODRA" includes modules for calculating the specific (volumetric) activity of radionuclides in low-active samples of materials and environmental objects, as well as for calculating the relative and absolute error of activity determination. The program has a convenient graphical user interface for database communication. The information system of the radiation testing laboratory of the enterprise that conducts work with radioactive materials has undergone a four-year approbation in the experimental production mode at VNIIHT in 2014-2017 and can significantly reduce the processing time of the results of determining the radioactivity of technological and environmental samples and reduce the operator error factor.

A Study on the Performance Simulation Model for Estimating Hardware Scale

The level of services in an information system is determined by the level of performance provided by the hardware of the system, such as the servers and the network, and the software, such as the application. Of these, the performance of the hardware is significantly affected by the specifications determined at the time of the initial implementation of the system. Therefore, when one implements a system, it should be ensured that hardware models of sufficient performance specification are selected in order to reach the targeted performance level. However, it is also apparent that high-performance hardware requires a higher investment. Therefore, from the perspective of the IT systems manager of an organization, it is important when the system is implemented to choose the hardware models that can come as close to the targeted performance level as possible within the budgetary limit. To solve this problem, organizations present instructions to calculate the appropriate scales of information system hardware. However, as these instructions are based on the capacity expected during the initial system implementation planning in the earlier stage, there are limitations in using these to establish operation plans, as deterioration in performance as the system is being operated should be anticipated. It is for this reason, in this study, that we developed an algorithm for the simulation model that can estimate the performance of the hardware not only for the initial implementation of the system but also during its operation phase.

Information systems implementation within US agribusiness: an applications approach

The complexity and sophistication of information system depends upon the information processing needs at the firm level. Agribusinesses tend to be heterogeneous in terms of firm size, operator characteristics, and opportunities for strategic behavior. Thus, information system hardware and software sophistication is expected to differ significantly even within similar industries. This study employs survey data from US agribusiness firms in order to determine the factors that contribute to hardware and software sophistication. Sophistication levels relative to hardware and software many times are a function of firm size and sales. It is also shown that a manager needs to recognize the level of sophistication in order to gauge competitive positioning against firm rivals. To be competitive within specific agribusiness sectors a firm must maintain or acquire the requisite information technology of its rivals.