scholarly journals OPERATION MANAGEMENT IN A NET-TYPE INFORMATION SYSTEM: CONCEPT INTEGRATION

2021 ◽  
pp. 215-219
Author(s):  
Ruslan Aliiev ◽  
Tetiana Labutkina
Keyword(s):  
Information System ◽  
Information Transfer ◽  
General Scheme ◽  
Task Management ◽  
Network Nodes ◽  
Satellite Systems ◽  
Main Components ◽  
Processing And Storage ◽  
And Control ◽  
Network Type

The analysis of perspective directions of creation of space information systems of network-type (satellite systems which realize information transfer on the basis of the Internet technologies, and also processing and storage of the information in space) is presented. A generalized approach to the management of many tasks that implement nodes of the information system of the network type (with emphasis on a special case of application of this scheme for the space information system) is proposed. In the general scheme of task management there are two main components (task management in the network node and control of the distribution of tasks between network nodes), as well as the basic principles of their implementation. The analysis of some separate cases of realization of the named principles of management of tasks in a networks of satellite systems is carried out.

scholarly journals Framework Implementation for Smart Water Management

10.29007/gb4g ◽  
2018 ◽  
Author(s):  
Lian Guey Ler ◽  
Philippe Gourbesville
Keyword(s):  
Water Management ◽  
Water Cycle ◽  
Water Security ◽  
Economic Benefits ◽  
Monitoring And Control ◽  
Water Losses ◽  
Smart Water ◽  
Main Components ◽  
Processing And Storage ◽  
And Control

The objective of smart water management is to achieve water security at all levels (building, city and regional) in a sustainability and self- sufficiency manner, through the use of information technology, monitoring and control technology and the implementation of holistic system of all the processes in water cycle. It also provides the water utilties economic benefits through the reduction of non-revenue water losses through the detection of illegal connections and water theft. According to the characteristics of smart water, we proposed the following overall framework for a smart water city. In the proposed framework, there are seven main components which can be categorized into three main compartments. First is Hardware (Sensors and Sensors Adapters) which deals data acquisition, monitoring, conversion and transmission. The second component is Water Information System (Big Water Data Management and Analysis) which deals with data processing and storage. The third one is Software (Support Services and Applications), which deals with modelling and analytics, real- time monitoring and control system, decision support system and visualization and dissemination of information to stakeholders.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

Capability Model of Manage Human Resource And Service Agreement at PT X

2017 ◽  
Vol 4 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Inez Gavrila Wahyudi ◽  
Johan Setiawan ◽  
Wella Wella
Keyword(s):  
Information System ◽  
Human Resources ◽  
Human Resource ◽  
Visionary Leadership ◽  
Assessment Process ◽  
Human Communication ◽  
Level 3 ◽  
Service Agreement ◽  
And Control ◽  
Work Management

This research was made with purpose to measure the capability of human resource and work management in PT. X using COBIT 5.0. In the assessment process, researcher applied 1 domain (align, plan, and organize) with 2 processed, Manage Human Resource APO 07) and Manage Service Agreement (APO 09). Data collection was obtained from the distribution of questionnaires to IT division (there were 127 items of the question and 10 respondents). The result of this research figured out that APO 07 stopped in level 2 with score 82.50 in level 3 and APO 09 ended in level 3 with score 84.10 in level 4. In conclusion, there were still few problems that made human resources in PT X unable to reach level 5. PT.X ought to do audit regularly in deep and holistically.   Keywords— Align Plan and Organize, Capabilities Level, COBIT 5.0, Manage Human Resources, Manage Service Agreement REFERENCES [1] Sumarsono, Sonny. 2003. Ekonomi Manajemen Sumber Daya Manusia. Jakarta: LPFE-UI. [2] Gondodiyoto, Sanyoto. 2003. Audit Sistem Informasi (Pendekatan COBIT). Bekasi : Mitra Wacana Media. [3] ISACA. 2013. COBIT 5 A Business Framework for the Governance and Management of Enterprise IT. USA : Enterprise GRC Solution Inc. [4] ISACA 2013. COBIT 5 for Information Security. USA : Enterprise GRC Solution Inc. [5] Arbie, E. 2000. Pengantar Sistem Informasi Manajemen, Edisi ke-7. Jakarta : Bina Alumni Indonesia. [6] Arikunto, Suharsimi. 2006. Metodelogi Penelitian. Yogyakarta : Bina Aksara. [7] Arikunto, Suharsimi. 2010. Prosedur Penelitian Suatu Pendekatan Praktik. Jakarta : Rineka Cipta. [8] Davis, Chris, Mike Schiller, & Kevin Wheeler. 2011. IT Auditing Using Controls to Protect Information Assets, 2nd Edition. English : Mc Graw Hill. [9] Follet, Mary Parker. 1999. Visionary Leadership and Strategic Management. MCB University Press. Women in Management Review Volume 14. Number 7.Gondodiyoto, Sanyoto. 2003. Audit Sistem Informasi (Pendekatan COBIT). Bekasi : Mitra Wacana Media. [10] Hasibuan,M. 2003. Manajemen Sumber Daya Manusia. Jakarta: PT. Bumi Aksara. [11] Hasibuan,M. 2003. Organisasi dan Motivasi. Jakarta: PT. Bumi Aksara. [12] Herzberg, Frederick. 2006. Perilaku Organisasi Edisi 10. Yogyakarta: Andy. [13] Jogiyanto. 2005. Sistem Teknologi Informasi. Yogyakarta : Andi Offset. [14] ISACA. 2012. COBIT 5 Enabling Processes. USA : Enterprise GRC Solution Inc. [15] ISACA. 2003. Audit and Control of Information System. USA : Enterprise GRC Solution Inc. [16] Kusumah, Wijaya dan Dwitagama Dedi. 2011. Mengenal Penelitian Tindakan Kelas. Jakarta : PT Indeks. [17] Littlejohn, Stephen W. 1999. Theories of Human Communication, 6th Ed. Belmont CA : Wadsworth Publishing. [18] Muhyuzir T.D. 2001. Analisa Perancangan Sistem Pengolahan Data, Cetakan kedua. Jakarta : PT Elex Media Komputindo. [19] O’Brien, James A. 2010. Management Information System (11th Edition). New Jersey: Pearson Prentice Hall. [20] O’Brien, James A. 2005. Pengantar Sistem Informasi: Perspektif Bisnis dan Manjerial (12th Edition). Jakarta: Salemba.

An optimal task management and control scheme for military operations with dynamic game strategy

2021 ◽  
pp. 106815
Author(s):  
Tao Zhang ◽  
Chengchao Li ◽  
Dongying Ma ◽  
Xiaodong Wang ◽  
Chaoyong Li
Keyword(s):  
Dynamic Game ◽  
Task Management ◽  
Military Operations ◽  
Control Scheme ◽  
And Control

Using Viewshed Analysis to Explore Settlement Choice: A Case Study of the Onondaga Iroquois

2006 ◽  
Vol 71 (3) ◽  
pp. 523-538 ◽  
Author(s):  
Eric E. Jones
Keyword(s):  
Information System ◽  
Late Woodland ◽  
Past Behavior ◽  
Viewshed Analysis ◽  
Settlement Location ◽  
Political Landscapes ◽  
And Control ◽  
Statistical Results ◽  
Critical Resources

A multitude of factors, ranging from environmental to ideological, determine where human settlements are placed on the landscape. In archaeological contexts, finding the reasons behind settlement choice can be very difficult and often requires the use of ethnographic analogies and/or modeling in a geographic information system (GIS). Archaeologists have used one particular GIS-based method, viewshed analysis, to examine site features such as defensibility and control over economic hinterlands. I use viewshed analysis in this case study to determine how the natural and political landscapes affected the settlement location choices of the Late Woodland and early Historic Onondaga Iroquois. Proximity to critical resources and defensibility both factored into the decision of where communities would place villages. Although this study shows that resources, such as productive soils, had a more significant effect on settlement choice, Iroquois communities were also taking measures to maintain the defensibility of their villages. This examination displays how GIS analyses in archaeology can go beyond the statistical results and help us understand past behavior.

MONITORING OF GOODS TURNOVER AS A SPECIAL FORM OF STATE CONTROL

2021 ◽  
pp. 108-113
Author(s):  
E. G. Kovalenko
Keyword(s):  
Information System ◽  
Special Form ◽  
The State ◽  
State Control ◽  
Information Function ◽  
State Information ◽  
Control Functions ◽  
And Control

The article studies the features of monitoring of goods turnover, including marking of goods, as well as turnover in the state information system of monitoring over turnover of goods involved in the relations of the operator issuing the codes, marking, collecting information, its storage and provision. The marking functions are defined: the function of analysis of wholesale and retail turnover, information function, identifying and control functions

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