BELT CONVEYOR WEIGHT SCALE MEASUREMENT INFLUENCE FACTORS RESEARCH

This paper is about belt conveyor weight scale measurement influence factors research. This research is very useful for loading fertilizer material, especially loading material to ships. If weight scale is calibrated wrong, it is possible to overload ship. At the beginning are overlooked main factors that effects weight scale measurements. Factors effect that are studied in terms of one year is air temperatures and relative air humidity’s influence on weight scale precision. Precision is controlled by comparing weight scale measurements and draft survey or dockets. At the end is two different possibilities for changing weight scale measurements knowing what kind of weather (temperature and humidity) will be for next ship, before loading calibrating weight scale

INDUSTRIAL PRODUCTION EQUIPMENT MAINTENANCE SYSTEMS

In today's widely competing food production market, the cost of production, the time of preparation for work and the optimal use of funds are particularly important for the competition in the existing market. A successful and growing manufacturing company is based on the continuous development and optimization of the production process, in order to minimize product modulation, production and delivery times, and provide high quality products to customers

IPTV STATISTICAL DATA APPLICATION FOR ECONOMIC AND STRATEGIC DECISION MAKING

Nowadays big data plays a significant role in analysis of society’s opinion. Since technologies have evolved rapidly in the last years, it is possible to store and process huge amount of data. Big data is subject to studies in business, science and at the governmental level. In this context IPTV statistical data studies can be used in business and in various sociological researches as well. This paper describes the possibilities of IPTV statistical data processing, analysis and visualization and discusses IPTV data application in business and scientific research

CLOUD COMPUTING

Mūsdienās mākoņdatošana ir svarīga lietotāju un uzņēmumu dzīves sastāvdaļa. Pateicoties mākoņdatošanai, cilvēkiem ir visas iespējas saglabāt savus datus mākonī, pārsūtīt lietojumprogrammas utt. Mākoņdatošana ļauj uzņēmumiem saglabāt naudu par dārgu aparatūru un programmatūru, kā arī ietaupa laiku uzņēmuma darbiniekiem. Mākoņdatošanas tehnoloģijas radās pagājušā gadsimta piecdesmitajos gados un joprojām attīstās. Referāta mērķis ir aplūkot mākoņdatošanas jēdzienu, mākoņu veidus, mākoņdatošanas ieguvumus, kā arī ar tiem saistītās grūtības un riskus

COMPUTER SECURITY

The paper contains information about hacking types and systems which they are suffered the most cyber attack. The main goal is to introduce people how to protect your systems from several cyber attacks following by special guidelines

ITIL IMPLEMENTATION IN SMALL BUSINESS

The goal of this work is to develop guidelines of ITIL (Information Technology Infrastructure Library) implementation in small businesses. To achieve goal of this work authors analyzed information about ITIL processes and chose those which necessary for small businesses. Next step was developing guidelines of implementing chosen processes in small businesses. Conclusion was made using knowledge gathered from analyzes

GRAPHICAL USER INTERFACE DEVELOPMENT PROBLEM DESCRIPTION AND SOLUTIONS

This article is about graphical user interface development problem description and possible solution summary. The goal of this work is to delve into specifics of common graphical user interface development problems and controversies, and list possible solutions that can be used to overcome

INFORMATIONAL WARFARE – INFLUENCE ON INFORMATIONAL STRUCTURES

The concept of information warfare encompasses the use of information and communication technologies to gain an advantage over a potential opponent. The information warfare is the manipulation with the information that trusts the goal, so that the goal should make decisions about its interests in the interests of opponents. Information structures are treated as systems that process different types of information, provide storage and access to users. Such structures may enclose neural networks, self-learning systems etc. They need to be ready to learn, respond to threats and ensure their safety, which is topical in today's information warfare. This paper will address aspects related to the security of information systems from a system theory point of view. The knowledge base of information structures can be elements of artificial intelligence, which security must be protected against various threats. The authors considers artificial neural networks to be one of the potential threats in the context of information warfare

CULTURAL HERITAGE REPOSITORY

The author of the article develops a Heritage object database on the DSpace platform, which would provide an international heritage ontologies, so to the digital media for object metadata and objects, documents, articles, images, and 3d (three Dimensions) storing virtual 3d objects. To create the required metadata module, the authors conducted heritage ontologies standards and 2 Digital museum metadata analysis by comparing the descriptive data. By performing metadata analysis, author have created the descriptive data sets that will be used by the new system. The newly acquired metadata set will be appropriate for both the Catalog of national Museums and the CIDOC standard

APPLE AND PEAR SCAB ONTOLOGY

An important issue in horticulture is ensuring plant disease, such as scab, prevention and treatment. Apple and pear are among the most widely grown (approximately 43% of all fruit tree area [1]) and economically important fruit crops specified worldwide and in Latvia. Scab diseases caused by ascomycetous fungi Venturia inaequalis and V.pyrina are economically the most important diseases worldwide. Research projects have produced research data covering various aspects of plant-pathogen interactions, but there is no internal linkage analysis, as well as implementation of other types of data (such as environmental and meteorological data, etc.). Establishing such a data integration system would allow the identification of new regularities in plant-pathogen interactions, and provide mechanisms for disease control decisions. Semantic analysis is one of information technology approaches to finding relationships in data. The product of analysis is ontology. There are plant disease ontologies which provide classification of diseases and describe their reasons. However, there is no ontology which describes a specific plant and relations among its farming parameters and disease probability. Such an ontology for apple and pear scab is presented in this paper. The constructed ontology can be applied to develop guidelines or digital expert systems.