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Analysis of ATE Measurability Using Information Flow Model

Analysis of ATE Measurability Using Information Flow Model

Since many test equipments can't be calibrated conveniently, this paper proposed a new concept named measurability to solve the problem. The measurability is defined, and its indexes are given in detail. Selected from the models of testability, the information flow model is used to analyze the ATE (automatic test equipment) measurability. The correlative matrix of information flow model is decided according to the trace chain. Finally, a practical example is given to show the analysis process.

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Mapserver – Information Flow Management Software for The Border Guard Distributed Data Exchange System

-Hoc Network with the Existence of ISI, The Journal of Korea Information and Com-munications Society, 2012, 37(12), 1106-1114. 12. Blok, M., Kaczmarek, S., Młynarczuk, M., Sac M., MapServer software (in Polish), research report, of Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, 2015.

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Bullwhip Effect in the Information Flow of a Supply Chain: A Role of Culture

References 1. V. Giard, and M. Sali, “The bullwhip effect in supply chains: A study of contingent and incomplete literaturę,” International Journal of Production Research, vol. 51, no. 13, pp. 3880-3893, 2005. 2. F. Klug, “The internal bullwhip effect in car manufacturing,” International Journal of Production Research, vol. 51, no. 1, pp. 303-322, 2013. 3. F. Chen (et al.), “Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times and Information,” Management Science, vol

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Dependability of the information flow process at an intermodal transhipment point

.: Modele niepewności informacji eksploatacyjnych. Zagadnienia Eksploatacji Maszyn, 35(2), 2000, str. 143-150. [5] Nowakowski T.: Problemy reprezentacji niepewności danych niezawodnościowych, Zimowa Szkoła Niezawodności 1997, str. 147-152. [6] Nowakowski T.: Problemy modelowania niepewności informacji w systemach logistycznych. Logistyka, 1, 2007. [7] Nowakowski, T.: Problems of Transportation Process Reliability Modelling. Developing of transportation flows in 21st century supply chains, 2012. [8] Nowakowski T., Zając M.: Analysis of reliability

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Functional and Operational Structures of the Motorway Telematics System

Functional and Operational Structures of the Motorway Telematics System

The paper presents the issues relating to the identification of functional and operational structures of the motorway telematics system. General functional structure of the motorway telematics system has been presented, as well as its components used for transmission, transfer and reception of information. Then, the information flow process has been shown for a selected group of telematics services during the tolling process.

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Analyzing Remote Server Locations for Personal Data Transfers in Mobile Apps

Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P Cox, Jaeyeon Jung, Patrick McDaniel, and Anmol N Sheth. TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. ACM Transactions on Computer Systems (TOCS), 32(2):5, 2014. [18] Ericsson. Europe mobility report appendix. http://www. ericsson.com/ res/docs/2014/emr-november2014-regionalappendices- europe.pdf , 2014. [19] European Court of Justice. Commission Decision of 26 july 2000 pursuant to directive 95/46/ec of the european

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Automated Experiments on Ad Privacy Settings
A Tale of Opacity, Choice, and Discrimination

. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay, “Scikit-learn: Machine learning in Python,” Journal of Machine Learning Research, vol. 12, pp. 2825-2830, 2011. [10] E. Jones, T. Oliphant, P. Peterson et al., “SciPy: Open source scientific tools for Python,” 2001, http://www.scipy.org/. [11] M. C. Tschantz, A. Datta, A. Datta, and J. M. Wing, “A methodology for information flow experiments,” ArXiv, Tech. Rep. arXiv:1405.2376v1, 2014. [12] P. Good, Permutation, Parametric and

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Information Quality Management and the Aspect of Profit and Loss in the Customer Service Process

Technical and Information Systems in Environmental Management. Procedia - Social and BehavioralSciences,13, pp. 124-128. Ficoń, K. (2011). Logistyka Ekonomiczna, procesy logistyczne. Warszawa: BEL Studio. Gajda, J. (2014). Competence Management in the Process of Creating the Value of the Organization. Wydawnictwo Vydavatel'stvo EKONOM. Jajuga, K. (2009). Zarządzanie ryzykiem. Warszawa: BEL Studio. Jelonek, D. (2017). Big Data Analytics in the Management of Business, MATEC Web of Conferences, 125, 4 October

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Information Channels Effectiveness Assessment on the Basis of Data from Statistical Survey

References Agresti, A., 2010. Analysis of Ordinal Categorical Data. Hoboken: John Wiley and Sons. Agresti, A., and Finlay, B., 2014. Statistical Methods for the Social Sciences (4 ed.). Essex, UK: Pearson Education Limited. Anderson, D. R., Sweeney, D. J., Williams, T. A., Freeman, J., and Shoesmith, E., 2007. Statistics for Business and Economics. London: Thomson Learning. Bauereiß, T., and Hutter, D., 2014. Information Flow Control for Workflow Management Systems. IT - information technology

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