INFORMATION SYSTEMS IN MANAGEMENT V - SGGW

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84 and matrix C and D: C = [ 1] and D = [ 0] ( 8) Due to the fact that there are state variables of the term x1 with the dimension and nature of y1, state variable x1 is cumulative i.e. gathers the state budget income, and due to the considered group of inputs, which constitute employed and unemployed persons in state economy, this variable is a stream of state budget income generated by working individuals or individuals registered as unemployed. Coefficient k1, however, at the u1 in the output equation expresses the influence of one employed person on the level of state budget income, and is expressed as a unit [million PLN/ person], and the coefficient k2 at the u2 in the output equation (4) expresses the influence of one unemployed person on the level of state budget income and is expressed as a unit [million PLN/ person]. Other state variables in the state equations may be understood in a similar way (3). 7. CONCLUSIONS The method of the identification of a huge and distributed system such as state eAdministration system (EAP) that was proposed in this paper was verified using statistical data. Appropriate system development models were obtained taking state budget as an example. It is shown that matrix A contains some very imported knowledge about inner organization which there are in our model of budget. This paper contains the results of research as regards the method of coding and decoding the development of the system and its can be use to simulation in the Simulink environment. Model coding involves its notation in the form of the initial population, which is then successfully used in the evolutional algorithms to general the initial population. REFERENCES 1. Kaczorek T., Dzieliński A., Dąbrowski W., Łopatka R. (2005) Podstawy teorii sterowania. WNT, Warszawa 2. Sienkiewicz P. (2003) Społeczeństwo informacyjne jako system cybernetyczny. Materiały II Ogólnopolskiej Konferencji nt. „Społeczeństwo Informacyjne –Wizja czy Rzeczywistość?”. AGH. Kraków 3. Tadeusiewicz R. (2002) Społeczność Internetu. EXIT. Warszawa
4. Tchórzewski J. (1990) Inżynieria rozwoju systemów. Monografie nr. 18. WSRP. Siedlce 5. Tchórzewski J.: (2007) Reinżynieria rozwoju systemu administracji realizującej dochody budżetu państwa, [w:] Nowoczesna Administracja Skarbowa, red. Z. Gilowska, i inni, MF-Difin, Warszawa 6. Tchórzewski J.: (2009) Artificial Neural Network for Processing Konwledge Concerning the State of Economy and Administration Development, [in box:] Information Systems in Management III, wyd. WULS Press Warsaw, 2009, str.113-120 7. Tchórzewski J.: (2009) Identification of the Unmanned Manufactory as Self- Development System for Creating Model in the Form of Artifical Genetic Code [in Journal] Proceedings of Artificial Intelligence Studies, Vol. 6(29)/2009, Wyd. AP, Siedlce 2009,str 71-80 8. Wiliński A.: (2007) Kreowanie społeczeństwa informacyjnego poprzez listę mailingową. Oblicza Internetu – architektura komunikacyjna sieci. Agenor Hoffman-Delbor, ss 51-61 9. Zimmer A.: (1998) Identyfikacja obiektów i sygnałów. Teoria i praktyka dla użytkowników MATLABA, PK, Kraków 85
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WARSAW UNIVERSITY OF LIFE SCIENCES
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PREFACE Applications of information
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TABLE OF CONTENTS BOLEK M., KARWOWS
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O - Overtime - lack of systematic m
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tion of work, establishing a new br
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12 � finding a balance point for
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2-6-III-09 - Testing and signed Sof
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16 Project launch: 16-III-09, Deadl
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different methods of management. In
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all phases of the enterprise, while
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phase. Additionally, the specificat
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the enterprise level: knowledge is
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INTEGRATED MANAGEMENT SYSTEM FOR UN
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� system should enhance the avail
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additional application Ksantypa ded
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strengths. The main advantage is th
Page 34 and 35: and Materials Management (MMI), Pay
Page 36 and 37: 36 A SYSTEM FOR COMPUTER AIDDED INT
Page 38 and 39: 38 Figure 2. An IBS tool for farms:
Page 40 and 41: 7. STARTING POINT Every journey sta
Page 42 and 43: 10. AgroXML(2009): www.agroxml.de,
Page 44 and 45: Curry and Moore define information
Page 46 and 47: 46 � applying and implementing e-
Page 48 and 49: izational entities of the financial
Page 50 and 51: 50 PROCESS MONITORING IN IT SYSTEMS
Page 52 and 53: should use scientific methods, whic
Page 54 and 55: Processes map in the first stage of
Page 56 and 57: nisms: tolerance, range, position r
Page 58 and 59: updating in permanent intervals of
Page 60 and 61: developments in the information and
Page 62 and 63: y inputting real world decisions an
Page 64 and 65: REFERENCES 1. Barteczko K., Bocian
Page 66 and 67: � quality (means its completeness
Page 68 and 69: interrelationships could be extorte
Page 70 and 71: 3. THE INFLUENCE OF INFORMATION TEC
Page 72 and 73: outside and inside a company. Other
Page 74 and 75: � creating condition to continuou
Page 76 and 77: cerning the steering theory and sys
Page 78 and 79: are missing, such IT systems as PES
Page 80 and 81: 80 y2 - state budget expenditure in
Page 82 and 83: and next we can obtain knowledge ab
Page 86 and 87: 86 THE IMPLEMENTATION OF E-LEARNING
Page 88 and 89: - The criterion for advancement of
Page 90 and 91: What is the percentage of jobs prov
Page 92 and 93: 92 Sw = n ∑ x n i= 1 n ∑ i= 1
Page 94: REFERENCES 1. Edvinson L.,Malone M.
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