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Mode of access: Internet. ; Vol. 1-4, no. 9 issued by Michigan State Library; v. 4, no. 10- v. 5, no. 10, by the State Library Division; v. 5, no. 11-v. 8, no. 10/11, by the Bureau of Library Services; v. 8, no. 12- by the State Library Services.

Electing an Eligible leader is a highest and prestigious responsibilities of every citizen of the country. Conducting the election and announcing the election results is a time and resource consuming task. Introduction of Electronic Voting Machines EVM greatly reduced the burden of operation but raises many concerns about the authentication of the results. Failure political parties often blame the functioning of the EVM is compromised with hacking techniques and intentional malpractice. This project work endeavors to solve the continuous accusations over EVM through following multi verification methods. Wireless voting copy machine and surveillance camera based voting counting. When a voter cast his her vote a local copy of the data will be stored inside the EVM. Along with this verification a surveillance camera will recognize the casting vote with motion estimation. After the election, during data counting all the above two types of results will be compared to get a unique and authenticated result, which cannot be accused for malpractice. Jones Arthi S | Kousalya R | Kumari M "Manifest Electronic Voting Machine Using Image Processing" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-3 , April 2018, URL: https://www.ijtsrd.com/papers/ijtsrd11509.pdf

ABSTRACTThe design of responsive distributed database systems is a key concern for information systems managers. In high bandwidth networks latency and local processing are the most significant factors in query and update response time. Parallel processing can be used to minimize their effects, particularly if it is considered at design time. It is the judicious replication and placement of data within a network that enable parallelism to be effectively used. However, latency and parallel processing have largely been ignored in previous distributed database design approaches. We present a comprehensive approach to distributed database design that develops efficient combinations of data allocation and query processing strategies that take full advantage of parallelism. We use a genetic algorithm to enable the simultaneous optimization of data allocation and query processing strategies. We demonstrate that ignoring the effects of latency and parallelism at design time can result in the selection of unresponsive distributed database designs.

A magnetotelluric data processing code has been developed, which demonstrates high robustness to intense electromagnetic noise occurring in measured MT data. Key features of the code are specific approach for estimating different transfer functions and capability to utilize all four channels acquired at remote reference station. The code utilizes various techniques to reduce estimate errors, including robust Huber estimator, jackknife approach, improved remote reference technique and compensating for overestimation of power spectra. The proposed code has shown high efficiency in processing of low signal-to-noise data.

Data analyses using methods of exploratory and inductive statistics nowadays form an integral part of many areas of human activities. The paper is focused on the statistical processing of data using a new application STAT1 that works under Microsoft Office Excel. The explanation is given, the source is stated, and the comparison with alternative application software tools is mentioned. Moreover, the examples of practical utilization of STAT1 in the military area are presented.

Part 2: Open and Smart Government ; International audience ; A significant part of open data provided by governments and international organizations concerns statistics such as demographics and economic indicators. The real value, however, of open statistical data will unveil from performing analytics on top of combined datasets from disparate sources. Linked data provide the most promising technological paradigm to enable such analytics across the Web. Currently, however, relevant processes and tools do not fully exploit the distinctive characteristics of statistical data. The aim of this paper is to present a process that enables publishing statistical raw data as linked data, combining statistics from multiple sources, and exploiting them in data analytics and visualizations. Moreover, the capability of existing software tools to support the vision of linked statistical data analytics is evaluated. We anticipate that the proposed process will contribute to the development of a roadmap for future research and development in the area.

Part 5: eID Cards and eID Interoperability ; International audience ; The new German electronic identity card will allow service providers to access personal data stored on the card. This imposes a new quality of data processing as these data have been governmentally verified. According to European privacy legislation any data processing must be justified in the sense that the personal data are necessary for the stipulated purpose. This need-to-know principle is a legal requirement for accessing the data stored on the eID card. This text suggests a model as basis for deriving general guidelines and aids further discussion on the question whether collecting personal data is necessary for certain business cases. Beyond the scope of the German eID card the extent and boundaries of what can be accepted as necessary data processing poses questions on a European level as well.