Controlling: Application of the information analysis system 1C:ERP Enterprise Management 2

2018 ◽  
Vol 21 (9) ◽  
pp. 1007-1023 ◽  
Author(s):  
T.F. Shitova ◽  
Keyword(s):  
Enterprise Management ◽  
Information Analysis ◽  
Analysis System

scholarly journals SPECIFICS OF FORECASTING METHODOLOGY INDUSTRIAL INJURIES AND PROFESSIONAL DISEASES

2021 ◽  
pp. 36-42
Author(s):  
Yury POLUKAROV ◽  
Olena ZEMLYANSKA ◽  
Nataliia KACHYNSKA ◽  
Liudmyla MITIUK
Keyword(s):  
Occupational Safety ◽  
Preventive Measures ◽  
Occupational Injuries ◽  
Practical Significance ◽  
Morbidity Rate ◽  
Universal Method ◽  
Mathematical Tool ◽  
Information Analysis ◽  
Average Value ◽  
Analysis System

Purpose. Substantiate the need for development of new scientific and methodological foundations for forecasting occupational injuries and illnesses. Methodology. Analyze existing methods of occupational injuries and illnesses forecasting, propose a new algorithm for calculation of their levels, set scientific and methodological requirements to information analysis system used for the prevention of occupational illnesses. Findings. Modern methods of forecasting injuries make it possible to assess the effectiveness of preventive measures. However, there is no universal method for analyzing the occupational morbidity due to the different specifics of disease causes and manifestations which do not allow to conduct a realistic assessment of labor protection in a particular area over a given period of time. Therefore, it is the reduction in the level of occupational injuries and illnesses compared to the data obtained by the forecasting method that may be indicative of preventive measures effectiveness. At the same time, development of information analysis system of personal protective equipment continues to be a pressing issue (PPE). Originality. It has been proposed to develop a special mathematical tool for determining loss reduction and information analysis system, which will provide a forecasted estimate of occupational morbidity at an enterprise. To obtain a reliable forecast it is important to identify the average value of cases over a given period of time, which has been considered in this paper. Conclusions and Practical Significance. There are numerous methods available for analysis of occupational injuries and illnesses. Most of them, however, are unfit for the assessment of occupational diseases. Since chronic occupational illnesses have a cumulative nature, the rate of work-related diseases is more predictable than that of injuries and accidents. This makes it possible to determine the “occupational morbidity rate” provided that the time spent by workers in the area of exposure to occupational hazards is recorded together with reference data on the conditional level of exposure to each hazard. Keywords: forecasting, injuries, occupational morbidity, occupational safety activities, hazard, information analysis system.

scholarly journals Cohort Analysis and Reporting for Graduate Attribute Assessment

2018 ◽  
Author(s):  
Aneta George ◽  
Liam Peyton
Keyword(s):  
Performance Management ◽  
Performance Indicators ◽  
Cohort Analysis ◽  
Information Analysis ◽  
Engineering Programs ◽  
Graduate Attributes ◽  
Historic Data ◽  
And Performance ◽  
Analysis System ◽  
The University

The Graduate Attribute Information Analysis system (GAIA) was developed at the University of Ottawa to support data collection and performance management of graduate attributes for engineering programs at the program level and at the course level [10]. This paper reports on our research to develop support for cohort analysis and reporting by providing a single consistent view of graduate attributes (GA) and performance indicators for groups of students who started and finished an engineering program at the same time. This is supported by two special purpose reports: Graduate Attribute Report per Cohort (GAR/C) and Course Progression Report per Cohort (CPR/C). The former shows average GA data per attribute, the latter tracks student achievement as students progress in their program. It also adds to the historic data trend analysis for a program. Furthermore, a COOP Progress Report per cohort (COOPR/C) is generated.

Motion information analysis system based on acceleration signals

2010 ◽  
Vol 14 (2) ◽  
pp. 122-125
Author(s):  
Shu-peng Liu ◽  
Lin Chen ◽  
Li-li Dai ◽  
Yan-qing Lu ◽  
Zhuang-zhi Yan
Keyword(s):  
Motion Information ◽  
Information Analysis ◽  
Analysis System ◽  
Acceleration Signals

scholarly journals Semantic Web based Multi-Dimensional Information Analysis System on the National Defense Weapons

2012 ◽  
Vol 12 (11) ◽  
pp. 502-510 ◽  
Author(s):  
Jung-Hwoan Choi ◽  
Jeong-Ho Park ◽  
Pyung Kim ◽  
Seungwoo Lee ◽  
Hanmin Jung ◽  
...  
Keyword(s):  
Semantic Web ◽  
National Defense ◽  
Information Analysis ◽  
Web Based ◽  
Analysis System
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