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Wamilia, Marina, Jono M. Munandar, and Ujang Sumarwan. "POLITICAL MARKETING FACTORS THAT AFFECT VOTING INTENTION ON INDONESIAN 2019 ELECTION." Asia Proceedings of Social Sciences 5, no. 1 (December 3, 2019): 24–28. http://dx.doi.org/10.31580/apss.v5i1.1074.
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Indonesia face the biggest democratic party, the presidential election in 2019. There are two candidates, Number 01 (Joko Widodo-Ma'ruf Amin) and Number 02(Prabowo Subianto-Sandiaga Uno). Increasing the number of voters from previous elections will certainly be a challenge for each candidate to win the hearts of the people with a political marketing approach that is by understanding the characteristics and behavior of the people in decision making. The purpose of this study is to identify the factors that influence voter perceptions in Java Island regarding the situation of presidential election 2019. Candidates conducted political marketing approach by doing research to understand the perception of voters. The data retrieval method is quota sampling technique. Data was collected using an online questionnaire with the object of respondents are Indonesian citizens, domiciled in Java Island and have voting rights in presidential election 2019. The processing and analysis of data uses logistic regression analysis with SPSS (Statistical Package for the Social Sciences) version 23. Statistical test results show that voter perception based on price, leadership, agricultural orientation, positioning and the decision to choose electronic Customer Relationship Management approach (pre-purchase aspect and at-purchase aspect) significant effect on the chosen candidate.
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González de la Garza, Luis Miguel. "La crisis de la democracia representativa. Nuevas relaciones políticas entre democracia, populismo virtual, poderes privados y tecnocracia en la era de la propaganda electoral cognitiva virtual, el microtargeting y el Big Data // The crisis of representation: the new political relations between democracy, populism, private powers and technocracy in the era of the information society." Revista de Derecho Político 1, no. 103 (December 16, 2018): 257. http://dx.doi.org/10.5944/rdp.103.2018.23203.
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Resumen:El trabajo que presentamos trata de contemplar como la erosión del sistema representativo de partidos políticos ha deteriorado gravemente la confianza de los ciudadanos en su efectividad y responsabilidad, hasta el extremo de que nuevos movimientos sociales y políticos propugnen retornar a modelos de democracia directa. Defendemos aquí que ello no es posible, ni deseable precisamente en un momento en el que los nuevos medios técnicos hacen más posible que nunca la aparición de populismos articulados sobre bases tecnológicas que son de una extraordinario peligro para las democracias del siglo XXI. Para ello estudiamos algunas de las ideas centrales de la democracia representativa y de la democracia directa, poniéndolas en conexión con elpoder que las nuevas tecnologías como el Big Data, la propaganda cognitiva electoral y otras técnicas de comunicación electrónica virtual están desplegando sobre nuestras modernas democracias de opinión. Tratamosde poner en evidencia algunos de sus riesgos más relevantes sugiriendo, también, algunos instrumentos para mejorar la siempre perfectible tanto como necesaria democracia representativa, basada en partidos políticos más responsables donde el mandato imperativo de partido sea atemperado por instituciones como el Recall de cada vez mayor uso en el marco del Derecho Constitucional comparado. Aspectos como el rediseño de la privacidad forman parte, brevemente, de la investigación ya que en una ecología de nuevos medios técnicos de procesamiento de la información sólo una intensificación normativa del respeto de la privacidad puede ser la única estrategia de contención de un futuro que sin ella afectaría gravemente a la dignidad humana.Summary:1. A democracy of excessively discontinuous exercise 2. The new media as mirrors where formal democracy reflects. 2.1 Direct democracy and representative democracy, the insufficiency of an unveiled fiction. 2.2. Citizens in advanced democracy wish to participate. 2.3. From a class society to a classified society, the role of big data, 2.3.1. The psychometric profiles, 2.3.2. Electoral cognitive advertising and microtargeting. 2.4 Powers private public powers. 3. The new forms of communication include new ways of participation and control as the recall. 4. Political parties have deteriorated the confidence of citizens in democracy.Abstract:The work that we present tries to contemplate how the erosion of the representative system of political parties has seriously deteriorated the confidence of the citizens in their effectiveness and responsibility, to the extent that new social and political movements propose to return to models of direct democracy. We argue here that this is neither possible nor desirable at a time when the new technical means make more possible than ever the emergence of populisms articulated on technological bases that are an extraordinary danger for the democracies of the 21st century. To this end, we study some of the central ideas of representative democracy and direct democracy, linking them to the power that new technologies such as Big Data, electoral cognitive propaganda and other virtual electronic communication techniques are deploying on our modern democracies of opinion. We try to highlight some of its most relevant risks, suggesting also some instruments to improve the always perfectible as much as necessary representative democracy based on more responsible political parties where the imperative party mandate is tempered by institutions like the Recall at a time greater use within the framework of comparative Constitutional Law. Aspects such as the redesign of privacy are briefly part of the research since in an ecology of new technical means of information processing, only a normative intensification of respect for privacy may be the only strategy to contain a future that without It would seriously affect human dignity.
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Oreshina, M., and A. Badina. "Scientific aspects of information exchange in electronic document management systems." E-Management 3, no. 2 (August 29, 2020): 55–62. http://dx.doi.org/10.26425/2658-3445-2020-2-55-62.
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The regularities showing the development of information exchange in the virtual space have been examined, electronic document management in the organization using information systems has been considered. It has been shown that the intellectualization of information systems is based on a powerful mathematical apparatus that provides work with texts by computer programs, based on the creation of models that include patterns necessary for the design of modern information search systems, as well as systems for automatic classification and analysis of texts.A document flow model based on a number of mathematical regularities, numerical methods of multivariate integration, the theory of mixed Queuing networks has been proposed. This model allows you to evaluate the multivariate integration of devices of electronic document management systems (EDMS), contributes to the formation of statistical data on document processing, provides with minimal time costs the formation of information flows in electronic document management systems, has a convenient user interface for object interaction programs. This model, based on the definition of a set of options for data transmission channels, a set of options for data collection equipment EDMS, a set of options for data processing equipment, a set of end devices of the EDMS communication environment, allows you to analyse the functionality of electronic document management systems.The proposed EDMS model shows that a number of functions of complex document management in an organization can be automated and optimized based on mathematical methods, which will reduce the time of document preparation, its routing and processing. Document management of the organization, using this EDMS, ensures optimization of information flows in the organization, contributes to the formation of important management decisions, taking into account all risk factors.
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Rovira-Garcia, Adria, and José Miguel Juan Zornoza. "Special Issue on GNSS Data Processing and Navigation." Sensors 20, no. 15 (July 24, 2020): 4119. http://dx.doi.org/10.3390/s20154119.
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Global Navigation Satellite System (GNSS) data can be used in a myriad of ways. The current number of applications exceed by far those originally GNSS was designed for. As an example, the present Special Issue on GNSS Data Processing and Navigation compiles 14 international contributions covering several aspects of GNSS research. This Editorial summarizes the whole special issue grouping the contributions under four different, but related topics.
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Wilczyński, Andrzej, and Adrian Widłak. "Blockchain Networks – Security Aspects and Consensus Models." Journal of Telecommunications and Information Technology 2 (June 28, 2019): 46–52. http://dx.doi.org/10.26636/jtit.2019.132019.
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Data integration and fast effective data processing are the primary challenges in today’s high-performance computing systems used for Big Data processing and analysis in practical scenarios. Blockchain (BC) is a hot, modern technology that ensures high security of data processes stored in highly distributed networks and ICT infrastructures. BC enables secure data transfers in distributed systems without the need for all operations and processes in the network to be initiated and monitored by any central authority (system manager). This paper presents the background of a generic architectural model of a BC system and explains the concept behind the consensus models used in BC transactions. Security is the main aspect of all defined operations and BC nodes. The paper presents also specific BC use cases to illustrate the performance of the system in practical scenarios..
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Vikström, Antti, Hans Moen, Sanaz Rahimi Moosavi, Tapio Salakoski, and Sanna Salanterä. "Secondary use of electronic health records: Availability aspects in two Nordic countries." Health Information Management Journal 48, no. 3 (December 16, 2018): 144–51. http://dx.doi.org/10.1177/1833358318817473.
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Background: The potential for the secondary use of electronic health records (EHRs) is underused due to restrictions in national legislation. For privacy purposes, legislative restrictions limit the availability and content of EHR data provided to secondary users. These limitations do not encourage healthcare organisations to develop procedures to promote the secondary use of EHRs. Objective: The objective of this study is to identify factors that restrict the secondary use of unstructured EHRs in academic research in Finland and Sweden. Method: A study was conducted to identify these availability-restricting issues that pertain to the academic secondary use of unstructured EHRs. Using semi-structured interviews, 14 domain experts in science, hospital management and business were interviewed to evaluate the efficiency of procedures and technologies that are implemented in secondary use processes. Results: The results demonstrate three aspects that restrict the availability of unstructured EHRs for secondary purposes: (i) the management and (ii) privacy preservation of such data as well as (iii) potential secondary users. Conclusion: Based on these categories, two approaches for the secondary use of unstructured EHRs are identified: the protected processing environment and altered data. Implications: The protected processing environment ensures patient privacy by providing unstructured EHRs for exclusive user groups that have preferred use intentions. Compared to the use of such processing environments, data alteration enables the secondary use of unstructured EHRs for a larger user group with various use intentions but that yield less valuable content.
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Daiyin Zhu, Mingwei Shen, and Zhaoda Zhu. "Some Aspects of Improving the Frequency Scaling Algorithm for Dechirped SAR Data Processing." IEEE Transactions on Geoscience and Remote Sensing 46, no. 6 (June 2008): 1579–88. http://dx.doi.org/10.1109/tgrs.2008.916468.
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Wasko, Wojciech, Alessandro Albini, Perla Maiolino, Fulvio Mastrogiovanni, and Giorgio Cannata. "Contact Modelling and Tactile Data Processing for Robot Skins." Sensors 19, no. 4 (February 16, 2019): 814. http://dx.doi.org/10.3390/s19040814.
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Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. Considering a large-scale, capacitance-based robot skin technology we developed in the past few years, we analyse the classical Boussinesq–Cerruti’s solution and the Love’s approach for solving a distributed inverse contact problem, both from a qualitative and a computational perspective. Our contribution is the characterisation of the algorithms’ performance using a freely available dataset and data originating from surfaces provided with robot skin.
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Guerra Chala, Bárbara, Cíntia Burille, and Lucas Moreschi Paulo. "The Protection of Consumer’s Personal Data and the Electronic Geodiscrimination Practice." Revista da Faculdade de Direito da Universidade Federal de Uberlândia 49, no. 1 (September 7, 2021): 709–31. http://dx.doi.org/10.14393/rfadir-v49n1a2021-62777.
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The purpose of this study is to analyse the General Data Protection Law for the Protection of Personal Data from the perspective of the protection of the consumer's personal data, with a view to ascertaining the main aspects of the legislation and verifying its impacts in relation to geopricing practices and geoblocking. To that effect, it begins by addressing the principles of the new legislation that inform the activity of processing personal data. Right after, the main axes of structuring the law are presented, focusing on aspects that concern the processing of consumer data. Finally, the practices of geodiscrimination will be examined, with the effect of assessing the legal treatment in relation to such techniques and how they may be affected after the entry into force of the General Data Protection Law. For that, the hypothetico-deductive methodology and the bibliographic research technique were adopted. Thus, it is observed that new data protection legislation added to the protection of consumers' rights in relation to the practices of geopricing and geoblocking, insofar as the standard was designed to prevent the disinformation of the personal data holder on the purpose of the treatment of your information and the illegitimate treatment of personal data, as well as covering the possibility of redressing the consumer who holds personal data if he experiences damage.
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Gorlova, Irina I., Alexander L. Zorin, and Anatoly V. Kryukov. "DIGITALIZATION AS A MEGATREND IN THE DEVELOPMENT OF MODERN SOCIETY AND ITS IMPACT ON THE FIELD OF CULTURE." Vestnik Tomskogo gosudarstvennogo universiteta. Kul'turologiya i iskusstvovedenie, no. 40 (2020): 20–37. http://dx.doi.org/10.17223/22220836/40/2.
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The aim of the study is to identify the essence of digitalization and the disclosure of its features as one of the most significant trends in world development, affecting all spheres of public life and especially culture. The study was carried out on the basis of factual data, UN analytical documents, materials from the work of Russian and foreign philosophers, economists, and high-tech specialists. In the research process, the historical genetic method, comparative analysis of scientific concepts and diachronous method were applied. The previously identified megatrends (globalization and democrati-zation) are analyzed, their general characteristics are established. This allowed us to formulate a new definition of megatrend as a global trend that arises in one area of public life, but gradually covers all other areas of social practice. Further, the authors investigated the processes of digitalization in various fields of social practice. It is noted that, historically, digitalization arose in the field of economics and brought certain benefits, which allowed it to spread to other areas of social life. It is emphasized that in the social sector, digitalization has allowed not only to create new jobs and specialties, but also helped to unite people into groups based on information networks. These groups have become active elements of social space, acting not only in the bowels of the network, but also changing the world beyond. In the field of public administration, new technologies have laid the foundation for the development of “e-democracy” and “e-government” – forms of socio-political interaction that can significantly in-crease the level of citizen involvement in government activities, as well as improve their quality of life. The development process and the activities of electronic libraries and virtual museums are analyzed; It has been established that the essence of this activity in the aspect of digitalization consists in popu-larizing the cultural heritage and expanding its integration into social practice. The possibilities of using modern tools of “augmented reality”, which allow to achieve artistic, creative and educational goals, are determined. The authors conclude that the essence of digitalization is a fundamental reorgan-ization of all spheres of public life towards optimization, acceleration, algorithmization, standardiza-tion and unification of controlled processes in these areas, leveling “manual control”, reducing the role of the “human factor” and associated errors through the use of constantly improving networking tech-nologies and devices responsible for the accumulation, processing and storage of information.
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Kucevic, Denis, S. Trivunovic, M. Plavsic, S. Stankovski, and G. Ostojic. "Modern aspects of marking of animals." Biotehnologija u stocarstvu 25, no. 1-2 (2009): 153–59. http://dx.doi.org/10.2298/bah0902153k.
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The conventional marking and identification of animals can be done in several different ways. With the application of modern informatics and electronics solutions, it is possible to substitute conventional ways with the different types of the electronic marking and identification. All types of electronic identification for transferring data are using the technology of the radio frequency (RFDI). With application of electronic marking, it is possible to achieve a great number of advantages of which the most important are the high precision of reading the data, individual supervision for every animal, automatic input of data, processing and keeping the information as a permanent actualization of data base. It is necessary to remove all existing defects and in future to work on the improvement of existing types of the electronic marking of animals. .
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Wo, Tianbin, Meelis Noemm, Dapeng Hao, and Peter Adam Hoeher. "Iterative Processing for Superposition Mapping." Journal of Electrical and Computer Engineering 2010 (2010): 1–13. http://dx.doi.org/10.1155/2010/706464.
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Superposition mapping (SM) is a modulation technique which loads bit tuples onto data symbols simply via linear superposition. Since the resulting data symbols are often Gaussian-like, SM has a good theoretical potential to approach the capacity of Gaussian channels. On the other hand, the symbol constellation is typically nonbijective and its characteristic is very different from that of conventional mapping schemes like QAM or PSK. As a result, its behavior is also quite different from conventional mapping schemes, particularly when applied in the framework of bit-interleaved coded modulation. In this paper, a comprehensive analysis is provided for SM, with particular focus on aspects related to iterative processing.
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GOOSSENS, MICHEL, and ERIC VAN HERWIJNEN. "SCIENTIFIC TEXT PROCESSING." International Journal of Modern Physics C 03, no. 03 (June 1992): 479–546. http://dx.doi.org/10.1142/s0129183192000336.
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Aspects of text processing important for the scientific community are discussed, and an overview of currently available software is presented. Progress on standardization efforts in the area of document exchange (SGML), document formatting (DSSSL), document presentation (SPDL), fonts (ISO 9541) and character codes (Unicode and ISO 10646) is described. An elementary particle naming scheme for use with LATEX and SGML is proposed. LATEX, PostScript, SGML and desk-top publishing allow electronic submission of articles to publishers, and printing on demand. Advantages of standardization are illustrated by the description of a system which can exchange documents between different word processors and automatically extract bibliographic data for a library database.
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Vlad, Miranda Petronella, and Mariana Rodica Ţîrlea. "Aspects On The Importance Of Electronic Processing Of Information In Calculating The Profit Tax." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 2 (June 1, 2015): 374–78. http://dx.doi.org/10.1515/kbo-2015-0063.
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Abstract The profit, according to the definition given in the Explanatory Dictionary of the Romanian language (Dex), represents a “gain” obtained in a given period of time by taxpayers, legal entities and individuals, while the total revenue achieved by economic activities performed in order to obtain income, are greater than the costs incurred to obtain the respective income. According to the regulations in effect, this gain is subject to taxation by applying a rate of 16% on the tax base. The resulted amount, represents the income tax, sum which once listed and submitted with a tax return to the tax institution, becomes a tax receivable which the state is entitled to collect. A special importance in determining the tax base for income tax calculation, it represented by a correct electronic processing of accounting data for obtaining information in order to determine the correct amounts owed to the state and the electronic preparation and submission of tax returns.
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Rantala, Ville, Pasi Liljeberg, and Juha Plosila. "Status Data and Communication Aspects in Dynamically Clustered Network-on-Chip Monitoring." Journal of Electrical and Computer Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/728191.
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Monitoring and diagnostic systems are required in modern Network-on-Chip implementations to assure high performance and reliability. A dynamically clustered NoC monitoring structure for traffic and fault monitoring is presented. It is a distributed monitoring approach which does not require any centralized control. Essential issues concerning status data diffusion, processing, and format are simulated and analyzed. The monitor communication and placement are also discussed. The results show that the presented monitoring structure can be used to improve the performance of an NoC. Even a small adjustment of parameters, for example, considering monitoring data format or monitoring placing, can have significant influence to the overall performance of the NoC. The analysis shows that the monitoring system should be carefully designed in terms of data diffusion and routing and monitoring algorithms to obtain the potential performance improvement.
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Gorodov, Evgeniy Yur’evich, and Vasiliy Vasil’evich Gubarev. "Analytical Review of Data Visualization Methods in Application to Big Data." Journal of Electrical and Computer Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/969458.
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This paper describes the term Big Data in aspects of data representation and visualization. There are some specific problems in Big Data visualization, so there are definitions for these problems and a set of approaches to avoid them. Also, we make a review of existing methods for data visualization in application to Big Data and taking into account the described problems. Summarizing the result, we have provided a classification of visualization methods in application to Big Data.
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Kammerer, Klaus, Rüdiger Pryss, Burkhard Hoppenstedt, Kevin Sommer, and Manfred Reichert. "Process-Driven and Flow-Based Processing of Industrial Sensor Data." Sensors 20, no. 18 (September 14, 2020): 5245. http://dx.doi.org/10.3390/s20185245.
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For machine manufacturing companies, besides the production of high quality and reliable machines, requirements have emerged to maintain machine-related aspects through digital services. The development of such services in the field of the Industrial Internet of Things (IIoT) is dealing with solutions such as effective condition monitoring and predictive maintenance. However, appropriate data sources are needed on which digital services can be technically based. As many powerful and cheap sensors have been introduced over the last years, their integration into complex machines is promising for developing digital services for various scenarios. It is apparent that for components handling recorded data of these sensors they must usually deal with large amounts of data. In particular, the labeling of raw sensor data must be furthered by a technical solution. To deal with these data handling challenges in a generic way, a sensor processing pipeline (SPP) was developed, which provides effective methods to capture, process, store, and visualize raw sensor data based on a processing chain. Based on the example of a machine manufacturing company, the SPP approach is presented in this work. For the company involved, the approach has revealed promising results.
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Hamoud, Alaa Khalaf, Marwah Kamil Hussein, Zahraa Alhilfi, and Rabab Hassan Sabr. "Implementing data-driven decision support system based on independent educational data mart." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (December 1, 2021): 5301. http://dx.doi.org/10.11591/ijece.v11i6.pp5301-5314.
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<span>Decision makers in the educational field always seek new technologies and tools, which provide solid, fast answers that can support decision-making process. They need a platform that utilize the students’ academic data and turn them into knowledge to make the right strategic decisions. In this paper, a roadmap for implementing a data driven decision support system (DSS) is presented based on an educational data mart. The independent data mart is implemented on the students’ degrees in 8 subjects in a private school (Al-Iskandaria Primary School in Basrah province, Iraq). The DSS implementation roadmap is started from pre-processing paper-based data source and ended with providing three categories of online analytical processing (OLAP) queries (multidimensional OLAP, desktop OLAP and web OLAP). Key performance indicator (KPI) is implemented as an essential part of educational DSS to measure school performance. The static evaluation method shows that the proposed DSS follows the privacy, security and performance aspects with no errors after inspecting the DSS knowledge base. The evaluation shows that the data driven DSS based on independent data mart with KPI, OLAP is one of the best platforms to support short-to-long term academic decisions.</span>
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Ober, Raimund J., Amir Tahmasbi, Sripad Ram, Zhiping Lin, and Elizabeth Sally Ward. "Quantitative Aspects of Single-Molecule Microscopy: Information-theoretic analysis of single-molecule data." IEEE Signal Processing Magazine 32, no. 1 (January 2015): 58–69. http://dx.doi.org/10.1109/msp.2014.2353664.
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Van Assche, Frederic, Sander Vanheule, Luc Van Hoorebeke, and Matthieu N. Boone. "The Spectral X-ray Imaging Data Acquisition (SpeXIDAQ) Framework." Sensors 21, no. 2 (January 14, 2021): 563. http://dx.doi.org/10.3390/s21020563.
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Photon counting X-ray imagers have found their way into the mainstream scientific community in recent years, and have become important components in many scientific setups. These camera systems are in active development, with output data rates increasing significantly with every new generation of devices. A different class of PCD (Photon Counting Detector) devices has become generally available, where camera data output is no longer a matrix of photon counts but instead direct measurements of the deposited charge per pixel in every frame, which requires significant off-camera processing. This type of PCD, called a hyperspectral X-ray camera due to its fully spectroscopic output, yet again increases the demands put on the acquisition and processing backend. Not only are bandwidth requirements increased, but the need to do extensive data processing is also introduced with these hyperspectral PCD devices. To cope with these new developments the Spectral X-ray Imaging Data Acquisition framework (SpeXIDAQ) has been developed. All aspects of the imaging pipeline are handled by the SpeXIDAQ framework: from detector control and frame grabbing, to processing, storage and live visualisation during experiments.
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Guo, Jianwen, Minghu Zhang, Qingsheng Shang, Feng Liu, Adan Wu, and Xin Li. "River Basin Cyberinfrastructure in the Big Data Era: An Integrated Observational Data Control System in the Heihe River Basin." Sensors 21, no. 16 (August 11, 2021): 5429. http://dx.doi.org/10.3390/s21165429.
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River basin cyberinfrastructure with the Internet of Things (IoT) as the core has brought watershed data science into the big data era, greatly improving data acquisition and sharing efficiency. However, challenges in analyzing, processing, and applying very large quantities of observational data remain. Given the observational needs in watershed research, we studied the construction of river basin cyberinfrastructure and developed an integrated observational data control system (IODCS). The IODCS is an important platform for processing large quantities of observational data, including automated collection, storage, analysis, processing, and release. This paper presents various aspects of the IODCS in detail, including the system’s overall design, function realization, big data analysis methods, and integrated models. We took the middle reaches of the Heihe River Basin (HRB) as the application research area to show the performance of the developed system. Since the system began operation, it has automatically received, analyzed, and stored more than 1.4 billion observational data records, with an average of more than 14 million observational data records processed per month and up to 21,011 active users. The demonstrated results show that the IODCS can effectively leverage the processing capability of massive observational data and provide a new perspective for facilitating ecological and hydrological scientific research on the HRB.
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Krasniqi, Gazmend, and Kristaq Filipi. "Efficiency Comparison of Cryptographic Applications, Match-off-Card vs. Match-on-Card, Using National Biometric eID Card." Academic Journal of Interdisciplinary Studies 8, no. 1 (March 1, 2019): 77–86. http://dx.doi.org/10.2478/ajis-2019-0008.
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Abstract Recently, not only the Internet and mobile devices are changing our daily life but also the usage of national biometric card for every government electronic services. Beside citizen authentication these electronic services require users to encrypt and digitally sign their data or documents. Therefore, biometric cards are used as processing devices for cryptographic applications, whereby there are a lot of security aspects required for secure communication, authentication and encryption among them. Those aspects will be tested in different environments, platforms, devices, PCs, mobile devices and smartcards. This paper compares those two processing systems, Match off Card vs. Match on Card, and their efficiency of encryption and signatures on the data used. How different parameters, time and size of test vectors impacts the process and the role they play on the overall system. The derived results will serve us as a guide for using one processing system in certain environment, minding the efficiency of the data.
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Ahas, Rein, Jukka M. Krisp, and Tuuli Toivonen. "Methodological aspects of using geocoded data from mobile devices in transportation research." Journal of Location Based Services 11, no. 2 (April 3, 2017): 75–77. http://dx.doi.org/10.1080/17489725.2017.1427020.
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BUŻANTOWICZ, Witold, and Jan PIETRASIEŃSKI. "Design and Testing of a Sensor Data Processing Unit for Dual-Control Missile Demonstrator." Problems of Mechatronics Armament Aviation Safety Engineering 10, no. 2 (June 30, 2019): 131–42. http://dx.doi.org/10.5604/01.3001.0013.2120.
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The article discusses aspects of the design and testing of a sensor data processing unit whose function relates to the static and dynamic stabilization of a missile airframe. The authors present a mathematical model of dual-control missile dynamics, along with the autopilot implemented on the basis of two feedback loops – from acceleration and from angular rate of the airframe. The draft of the sensor data processing unit is presented in the form of three PCB packages, with connections for the installation of electronic components. In addition, a laboratory stand used in the experimental research, as well as selected results for the device are described.
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Rathee, Geetanjali, Adel Khelifi, and Razi Iqbal. "Artificial Intelligence- (AI-) Enabled Internet of Things (IoT) for Secure Big Data Processing in Multihoming Networks." Wireless Communications and Mobile Computing 2021 (August 11, 2021): 1–9. http://dx.doi.org/10.1155/2021/5754322.
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The automated techniques enabled with Artificial Neural Networks (ANN), Internet of Things (IoT), and cloud-based services affect the real-time analysis and processing of information in a variety of applications. In addition, multihoming is a type of network that combines various types of networks into a single environment while managing a huge amount of data. Nowadays, the big data processing and monitoring in multihoming networks provide less attention while reducing the security risk and efficiency during processing or monitoring the information. The use of AI-based systems in multihoming big data with IoT- and AI-integrated systems may benefit in various aspects. Although multihoming security issues and their analysis have been well studied by various scientists and researchers; however, not much attention is paid towards big data security processing in multihoming especially using automated techniques and systems. The aim of this paper is to propose an IoT-based artificial network to process and compute big data processing by ensuring a secure communication multihoming network using the Bayesian Rule (BR) and Levenberg-Marquardt (LM) algorithms. Further, the efficiency and effect on multihoming information processing using an AI-assisted mechanism are experimented over various parameters such as classification accuracy, classification time, specificity, sensitivity, ROC, and F -measure.
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Li, Cailing, and Wenjun Li. "Automatic Classification Algorithm for Multisearch Data Association Rules in Wireless Networks." Wireless Communications and Mobile Computing 2021 (March 17, 2021): 1–9. http://dx.doi.org/10.1155/2021/5591387.
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In order to realize efficient data processing in wireless network, this paper designs an automatic classification algorithm of multisearch data association rules in a wireless network. According to the algorithm, starting from the mining of multisearch data association rules, from the discretization of continuous attributes of multisearch data, generation of fuzzy classification rules, and the design of association rule classifier and other aspects, automatic classification is completed by using the mining results. Experimental results show that this algorithm has the advantages of small classification error, good real-time performance, high coverage rate, and high feasibility.
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THURAISINGHAM, BHAVANI. "WEB INFORMATION MANAGEMENT AND ITS APPLICATION TO ELECTRONIC COMMERCE." International Journal on Artificial Intelligence Tools 08, no. 02 (June 1999): 107–17. http://dx.doi.org/10.1142/s0218213099000087.
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This paper describes various aspects of web information management with particular emphasis on its application to electronic commerce. We first provide a brief overview of the web. Then we discuss concepts for web database management, as database management is a key part of information management. These include data models and architectures, query processing, transaction management, metadata management, storage issues, and integrity and security. Then we discuss various web information management technologies such as multimedia, visualization, data mining and warehousing, and knowledge management. Then we discuss emerging standards such as Java Database Connectivity, Extended Markup Language (XML), and middleware standards such as Object Request Brokers (ORB) and Remote Method Invocation (RMI). Finally we discuss how web data management technologies can be applied to the important area of electronic commerce.
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Shcheglov, B. O. "Application of the Electronic Atlas of Personal Anatomy SkiaAtlas in Teaching Medical Students." Virtual Technologies in Medicine 1, no. 3 (September 17, 2021): 181–82. http://dx.doi.org/10.46594/2687-0037_2021_3_1380.
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This article discusses the logic and aspects of creating a web application for the accumulation and processing of incoming data of radiation diagnostics and their transformation into information that can be used by students of medical educational institutions in training in the absence or lack of anatomical materials. In prospective analysis, it is possible to use this software product not only as a means for simulation training, but also in medical applied practice in preoperative surgical planning, modeling various mechanical characteristics of implants.
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Imamnazarovna, Allayarova Nargiza. "Aspects Of Legal Regulation Of Electronic Document And Electronic Document Circulation In Business." American Journal of Political Science Law and Criminology 02, no. 11 (November 17, 2020): 8–14. http://dx.doi.org/10.37547/tajpslc/volume02issue11-02.
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This article discusses the provisions of the current legislation of the Republic of Kazakhstan and the Republic of Uzbekistan, regulating the field of electronic document management. The article considered the regulatory legal acts of the Republic of Kazakhstan and the Republic of Uzbekistan, regulating the issues of drawing up an electronic document and implementing electronic document management, such as: the Law of the Republic of Kazakhstan "On electronic documents and electronic digital signature" dated January 7, 2003; The Law of the Republic of Uzbekistan "On Electronic Document Management"; Law of the Republic of Kazakhstan "On Informatization" dated November 24, 2015 No. 418; Law of the Republic of Uzbekistan "On informatization" dated December 11, 2003 No. 560; Law of the Republic of Kazakhstan dated July 26, 2016 No. 11"On payments and payment systems"; Law of the Republic of Uzbekistan dated November 1, 2019 No. 578 "On payments and payment systems". When considering the issue of drawing up an electronic document in electronic document management systems, it is clear that the issue of certifying an electronic document with a seal in the necessary cases has not been settled. For a document to be considered signed and certified with a seal, it is necessary that such a signature and seal be included in the electronic document. Today there is a formal obstacle to the electronic document flow of documents, the creation of which is carried out on special paper forms with coats of arms or emblems. This requirement applies to certain types of statutory, financial documents, notarized documents, etc. In connection with the widespread use of information communications, the problem of information security, the existing systems for storing, transferring and processing information, becomes very important for society. Currently, the prevailing epidemiological situation in the country and in the world has significantly accelerated the exchange of data in electronic form in all spheres of society. Almost all activities of the society have switched to the electronic format of information exchange, including entrepreneurship. We hope that in the Republic of Kazakhstan and in the Republic of Uzbekistan, the development of the digital economy model will have a productive effect on the development of entrepreneurship and help overcome the problems existing in business.
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Ram Kinkar, Chhayarani, and Yogendra Kumar Jain. "An optimal method for enhancing the generation of machine code from natural language data set." International Journal of Engineering & Technology 8, no. 4 (December 15, 2019): 590. http://dx.doi.org/10.14419/ijet.v8i4.26593.
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Natural language processing is a very active area of research and development, there is not a single agreed upon a method that would satisfy everyone for the use of natural language to operate electronic devices or other practical applications. But there are some aspects used from many years in the formulation and solution of computational problem arising in natural language processing. This paper describes a model in which numerical values are assigned to word of natural language speech data set to convert the information present in natural language speech data set into an intermediate numeric form as a structured data set. The intermediated numerical values of each word will be used for generation of machine code which will be easily understand by electronic devices to draw inferences from data set. The designed model is useful for a number of practical applications and very simple to implement.
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Pavard, Francis. "Electronic data-processing and old-age insurance: The experience of the general scheme in France." International Social Security Review 39, no. 1 (January 1986): 3–13. http://dx.doi.org/10.1111/j.1468-246x.1986.tb00602.x.
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Lu, Dongxue, and Zengke Wang. "A Novel Sparse Data Reconstruction Algorithm for Dynamically Detect and Adjust Signal Sparsity." International Journal of Circuits, Systems and Signal Processing 15 (June 25, 2021): 550–55. http://dx.doi.org/10.46300/9106.2021.15.61.
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This paper proposed a novel algorithm which is called the joint step-size matching pursuit algorithm (JsTMP) to solve the issue of calculating the unknown signal sparsity. The proposed algorithm falls into the general category of greedy algorithms. In the process of iteration, this method can adjust the step size and correct the indices of the estimated support that were erroneously selected in a dynamical way. And it uses the dynamical step sizes to increase the estimated sparsity level when the energy of the residual is less than half of that of the measurement vectory. The main innovations include two aspects: 1) The high probability of exact reconstruction, comparable to other classical greedy algorithms reconstruct arbitrary spare signal. 2) The sinh() function is used to adjust the right step with the value of the objective function in the late iteration. Finally, by following this approach, the simulation results show that the proposed algorithm outperforms state of- the-art similar algorithms used for solving the same problem.
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Sullivan, Jonathan. "Electronic Resources in the Study of Elite Political Behaviour in Taiwan." China Quarterly 213 (February 11, 2013): 172–88. http://dx.doi.org/10.1017/s0305741013000027.
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AbstractThe objective of this article is to survey the abundance of primary source electronic data, and appropriate methods, which could be used to advance the study of elite politics in Taiwan. Research on public attitudes and voting behaviour has benefited enormously from open scholarly access to systematically collected, reliable data resources. Research on elite political behaviour in Taiwan could similarly benefit from the creation of supplementary datasets derived from electronic primary sources. I argue that the primary resources and methods needed are already in place, for instance, to produce quantitative estimates of the policy preferences and ideological positions of parties and individual political actors over time. A variety of political texts created by political actors at all levels of office (and indeed, in opposition) are readily accessible online. With a small degree of processing, these electronic texts can easily be rendered in machine-readable format for analysis by means of computer-assisted content analysis software. Despite successes in other contexts, these data and methods are currently underutilized in studies of elite political behaviour in Taiwan.
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Stanberry, Ben. "The legal and ethical aspects of telemedicine. 2: Data protection, security and European law." Journal of Telemedicine and Telecare 4, no. 1 (March 1, 1998): 18–24. http://dx.doi.org/10.1258/1357633981931236.
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The electronic record may be subject to abuses that can be carried out on a large scale and cause great damage. A wide range of data protection and information security measures will need to be taken to ensure the quality and integrity of such records. A European Union directive was formally adopted in 1995 which sets the obligations of those responsible for data processing as well as a number of important rights for individuals. The responsible teleconsultant or medical officer, as the data controller, must make sure these measures are enforced. In the case of the transmission of medical records to another location, the original data controller may remain liable for abuses. But as different elements of the records are spread throughout the different departments of a hospital or across different geographical locations, it may become difficult to ascertain who is responsible for protecting and controlling what. To this end, the designation of liability by contractual means, between the hospitals and remote users of a telemedicine network, would be the clearest and most straightforward way of achieving uniformity and predictability in terms of the distribution of responsibility for data protection and security.
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Alsaig, Alaa, Vangalur Alagar, Zaki Chammaa, and Nematollaah Shiri. "Characterization and Efficient Management of Big Data in IoT-Driven Smart City Development." Sensors 19, no. 11 (May 28, 2019): 2430. http://dx.doi.org/10.3390/s19112430.
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Smart city is an emerging initiative for integrating Information and Communication Technologies (ICT) in effective ways to support development of smart cities with enhanced quality of life for its citizens through safe and secure context-aware services. Major technical challenges to realize smart cities include resource use optimization, service delivery without interruption at all times in all aspects, minimization of costs, and reduction of resource consumption. To address these challenges, new techniques and technologies are required for modeling and processing the big data generated and used through the underlying Internet of Things (IoT). To this end, we propose a data-centric approach to IoT in conceptualizing the “things” from a service-oriented perspective and investigate efficient ways to identify, integrate, and manage big data. The data-centric approach is expected to better support efficient management of data with complexities inherent in IoT-generated big data. Furthermore, it supports efficient and scalable query processing and reasoning techniques required in development of smart city applications. This article redresses the literature and contributes to the foundations of smart cities applications.
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Emerson, Patricia, and Nancy Hoffman. "Technical, Political, and Social Issues in Archaeological Collections Data Management." Advances in Archaeological Practice 7, no. 3 (August 2019): 258–66. http://dx.doi.org/10.1017/aap.2019.19.
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AbstractManaging collections means ensuring that the data about them are useful, available, and accurate. In addition to the technical aspects of data management, there are layers of political and social structure that direct the construction and use of collections data. The Minnesota Historical Society (MNHS) employs a set of data standards that allows us to gather electronic cataloging data from a wide community of archaeology researchers who are depositing collections at our institution. Though met with initial resistance, these standards have facilitated publication in Open Context as linked open data. Furthermore, institutional discussions concerning Creative Commons licensing and the cultural sensitivity of collections data were precipitated by publication, highlighting the role of social agreement in data management. We found that successful employment of data standards must take into account the needs of the various stakeholders and further their interests. Standards will be most useful and successful when they are lightweight, are supported by training and documentation, and exist as part of a system that allows for more than one way to characterize the collections.
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Purcaru, Ion, and Dorina Purcaru. "Aspects Regarding the Configuration of a Functional Node in a Distributed Data Acquisition System, Based on PC/104 Compatible Modules." Solid State Phenomena 166-167 (September 2010): 327–32. http://dx.doi.org/10.4028/www.scientific.net/ssp.166-167.327.
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This paper presents a practical approach for a distributed data acquisition system organized on several levels, with functions distributed in functional nodes. A field bus allows the communication between all programmable electronic modules for data acquisition (first level) and the process server (second level); the last one is a data processing and monitoring equipment which also represents the process server in a computer network with many clients. The electronic equipment for monitoring and recording analog and digital inputs (i.e. a functional node from the first level of the distributed data acquisition system) is described in detail. This equipment is organized around the PC/104 central unit and performs four main functions: acquisition, configuration, local monitoring and communication. The experimental results, corresponding to the Server application, are also presented and discussed in this paper.
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Popescu, Stoican, Stamatescu, Chenaru, and Ichim. "A Survey of Collaborative UAV–WSN Systems for Efficient Monitoring." Sensors 19, no. 21 (October 28, 2019): 4690. http://dx.doi.org/10.3390/s19214690.
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Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large scale monitoring. Main advances stemming both from complex system architectures as well as powerful embedded computing and communication platforms, advanced sensing and networking protocols have been leveraged to prove the viability of this concept. The design of suitable algorithms for data processing, communication and control across previously disparate domains has thus currently become an intensive area of interdisciplinary research. The paper was focused on the collaborative aspects of UAV–WSN systems and the reference papers were analyzed from this point of view, on each functional module. The paper offers a timely review of recent advances in this area of critical interest with focus on a comparative perspective across multiple recent theoretical and applied contributions. A systematic approach is carried out in order to structure a unitary from conceptual design towards key implementation aspects. Focus areas are identified and discussed such as distributed data processing algorithms, hierarchical multi-protocol networking aspects and high level WSN–constrained UAV-control. Application references are highlighted in various domains such as environmental, agriculture, emergency situations and homeland security. Finally, a research agenda is outlined to advance the field towards tangible economic and social impact.
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Thiessard, F., and V. Koutkias. "Big Data - Smart Health Strategies." Yearbook of Medical Informatics 23, no. 01 (August 2014): 48–51. http://dx.doi.org/10.15265/iy-2014-0031.
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Summary Objectives: To select best papers published in 2013 in the field of big data and smart health strategies, and summarize outstanding research efforts. Methods: A systematic search was performed using two major bibliographic databases for relevant journal papers. The references obtained were reviewed in a two-stage process, starting with a blinded review performed by the two section editors, and followed by a peer review process operated by external reviewers recognized as experts in the field. Results: The complete review process selected four best papers, illustrating various aspects of the special theme, among them: (a) using large volumes of unstructured data and, specifically, clinical notes from Electronic Health Records (EHRs) for pharmacovigilance; (b) knowledge discovery via querying large volumes of complex (both structured and unstructured) biological data using big data technologies and relevant tools; (c) methodologies for applying cloud computing and big data technologies in the field of genomics, and (d) system architectures enabling high-performance access to and processing of large datasets extracted from EHRs. Conclusions: The potential of big data in biomedicine has been pinpointed in various viewpoint papers and editorials. The review of current scientific literature illustrated a variety of interesting methods and applications in the field, but still the promises exceed the current outcomes. As we are getting closer towards a solid foundation with respect to common understanding of relevant concepts and technical aspects, and the use of standardized technologies and tools, we can anticipate to reach the potential that big data offer for personalized medicine and smart health strategies in the near future.
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Karyati, Ni Ketut, Wayan Windia, Budi Susrusa, and Gede Setiawan Adiputra. "independence level of farmers in Subak Abian Tri Guna Karya on processing and marketing agricultural products." International journal of life sciences 4, no. 3 (November 21, 2020): 16–30. http://dx.doi.org/10.29332/ijls.v4n3.472.
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Poverty in Indonesia is a very complex and multidimensional problem relating to political, economic, social, and cultural aspects. Most of the families who depend on agricultural products are poor. Even though the role of agriculture in the country's economic development is still very important. Approximately 60% of the population still working in agriculture or still depending on agricultural products for their living. This study aimed to analyze the level of independence of farmers in marketing and processing agricultural products. The research method used includes qualitative and quantitative data types, data sources were primary and secondary data. The population observed was 77 people. The data analysis technique used descriptive analysis and statistical analysis with PLS (Partial Least Square) method. Based on the results of the analysis and discussion, it can be concluded that farmers of Subak Abian Tri Guna Karya, Kintamani District, Bangli Regency have a good independence level in terms of economy, intellectual, and emotional in processing and marketing their agricultural products.
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Xie, Mingshan, Yong Bai, Mengxing Huang, and Zhuhua Hu. "Multiorder Fusion Data Privacy-Preserving Scheme for Wireless Sensor Networks." Journal of Electrical and Computer Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/3956027.
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Privacy-preserving in wireless sensor networks is one of the key problems to be solved in practical applications. It is of great significance to solve the problem of data privacy protection for large-scale applications of wireless sensor networks. The characteristics of wireless sensor networks make data privacy protection technology face serious challenges. At present, the technology of data privacy protection in wireless sensor networks has become a hot research topic, mainly for data aggregation, data query, and access control of data privacy protection. In this paper, multiorder fusion data privacy-preserving scheme (MOFDAP) is proposed. Random interference code, random decomposition of function library, and cryptographic vector are introduced for our proposed scheme. In multiple stages and multiple aspects, the difficulty of cracking and crack costs are increased. The simulation results demonstrate that, compared with the typical Slice-Mix-AggRegaTe (SMART) algorithm, the algorithm proposed in this paper has a better data privacy-preserving ability when the traffic load is not very heavy.
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Aung, Sint Sint. "Analysis on Opinion Words Extraction in Electronic Product Reviews." International Journal of Systems and Software Security and Protection 10, no. 1 (January 2019): 47–61. http://dx.doi.org/10.4018/ijsssp.2019010103.
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Online user reviews are increasingly becoming important for measuring the quality of different products and services. Sentiment classification or opinion mining involves studying and building a system that collects data from online and examines the opinions. Sentiment classification is also defined as opinion extraction as the computational research area of subjective information towards different products. Opinion mining or sentiment classification has attracted in many research areas because of its usefulness in natural language processing and other area of applications. Extracting opinion words and product features are also important tasks in opinion mining. In this work an unsupervised approach was proposed to extract opinions and product features without training examples. To obtain the dependency relation between the product aspects and opinions, this work used StanfordCoreNLP dependency parser. From these relations, rules are predified to extract product and opinions. The main advantage of this approach is that there is no need for training data and it has domain independence. Acoording to the experimental results, the modified algorithm gets better results than the double propagation algorithm.
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MATHIVANAN, Sandeepkumar, and Prabhu JAYAGOPAL. "A Big Data Virtualization Role in Agriculture: A Comprehensive Review." Walailak Journal of Science and Technology (WJST) 16, no. 2 (September 3, 2018): 55–70. http://dx.doi.org/10.48048/wjst.2019.3620.
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Big data is a collection of large volumes of data sets which are more complicated to analyze using standard data processing methods. It also emphasizes parameters like data variety and velocity data. Big data will play a most significant role in our daily life regarding applications like healthcare electronic commerce, agriculture, telecommunication, government, and financial trading. In the agriculture domain, big data is an optimal method to increase the productivity of farming by gathering and processing information like plant growth, farmland monitoring, greenhouse gases monitoring, climate change, soil monitoring and so forth. Virtualization is an emerging technique that can be combined with big data in agriculture. Virtualization has been used extensively in research for a long time, the term “virtual” entities affecting a real-life form. In agriculture, it has many more physical objects, sensors, and devices. This physical object is virtualized and has digital representation to store, communicate and process via the internet. The information from the virtual object has a large volume of data which helps meaningful data analysis or aspects to make application services like decision making, problem notification, and information handling. This paper provides a comprehensive review of big data virtualization in the agriculture domain. The virtualization methodology, and tools used by many researchers is surveyed.
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Asif, Rameez, Kinan Ghanem, and James Irvine. "Proof-of-PUF Enabled Blockchain: Concurrent Data and Device Security for Internet-of-Energy." Sensors 21, no. 1 (December 23, 2020): 28. http://dx.doi.org/10.3390/s21010028.
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A detailed review on the technological aspects of Blockchain and Physical Unclonable Functions (PUFs) is presented in this article. It stipulates an emerging concept of Blockchain that integrates hardware security primitives via PUFs to solve bandwidth, integration, scalability, latency, and energy requirements for the Internet-of-Energy (IoE) systems. This hybrid approach, hereinafter termed as PUFChain, provides device and data provenance which records data origins, history of data generation and processing, and clone-proof device identification and authentication, thus possible to track the sources and reasons of any cyber attack. In addition to this, we review the key areas of design, development, and implementation, which will give us the insight on seamless integration with legacy IoE systems, reliability, cyber resilience, and future research challenges.
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Afanasyev, O., and I. Zavada. "THEORETICAL ASPECTS OF DIGITAL CREATION TOPOGRAPHIC PLAN." Municipal economy of cities 3, no. 163 (June 29, 2021): 30–34. http://dx.doi.org/10.33042/2522-1809-2021-3-163-30-34.
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Theoretical bases of creation of the digital topographic plan of district are considered, the analysis of the materials used for creation of the digital topographic plan of district is carried out. Types and features of application of topographic plans are analyzed. The most suitable geo-basis for creating a digital plan has been identified. Studies have shown that a 1: 500 scale geo-base is quite informative and most optimal for creating digital and conventional topographic plans in the city. Without additional removal, 1: 500 scale plans allow for the transition to smaller scale plans. According to current national regulations, a single coordinate and altitude system should be used to create topographic plans. Today, the only state coordinate system USK-2000 is used, which replaced the coordinate system SK-42, which is based on the Krasovsky ellipsoid and the Gauss-Krueger projection. Possibilities of development of electronic topographic plans with use of modern software complexes are investigated. Computer software allows you to process data as accurately as possible and perform tasks quickly. Among the main software packages used to create an electronic topographic plan of the area are AutoCAD, Digitals, Geonics, COMPASS, MapInfo Pro, Topocad. The choice of software product depends on the breadth of the task, the modernity of surveying instruments and their own software. An analysis of the software used in the creation of digital maps and topographic plans, which showed that the choice of a particular product depends on the breadth of the task, the modernity of surveying instruments and their own software. AutoCAD software is universal and fully adapted to modern geodetic problems. The use of AutoCAD software will ensure the final processing of data obtained during field work and the completion of the digital topographic plan of the area. The procedure for creating a digital topographic plan of the area using Digitals and AutoCAD software is considered. Creating a digital topographic plan of the area is a complex process consisting of several stages, which are described in the article.
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Bellman, Mary J. "Rationality and Identity in the Participation Choices of Female Maquila Workers." Comparative Political Studies 37, no. 5 (June 2004): 563–89. http://dx.doi.org/10.1177/0010414004263861.
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Under the significant structural obstacles to labor mobilization in market economies and the male domination of labor federations, what motivates female export-processing zone (EPZ) workers to participate in labor organization? Why do female workers participate in traditional laborunions or alternative women’s organizations that similarly claim to represent them?This article addresses these questions using original survey data from female EPZ workers in the garment industries of Honduras and Nicaragua. The author applies insights fromrational choicetheory and identity approaches and examines howgender and class influence femaleworkers’organizing in Central American EPZs. Logistic and ordinal logistic regression estimates show that this group of workers participates in labor organizations because of not individual selective incentives but rather aspects of identity formation. The survey data illustrate that shared interests cannot be assumed for similarly situated popular subjects who experience the multiple facets of their conditions in different ways.
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Wibowo, Taufik. "Legal aspects of land administration service with land computerization information systems in Sidoarjo." Research, Society and Development 9, no. 8 (July 6, 2020): e307983659. http://dx.doi.org/10.33448/rsd-v9i8.3659.
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The aim of this analysis is referred to several problems which are concerning the Land Administration Service in National Land Agency and Law Aspect of Land Administration Service with the Computerization Information System in BPN Sidoarjo. This research applies the Juridical Normative approach especially in Land Law with the Descriptive and Analytic and qualitative analysis. The result showed that Land Data Management used the information technology which is something that absolutely must be done is related to the characteristics of the land data itself which are multidimensional in nature related to economic, political, defense and security and socio-cultural issues. It can be concluded that information and electronic Transaction, some doubts about the use of electronic land data have found a clarity, especially relating to the electronic documents that are used as a means of proving and electronic data security.
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Polster, Petr. "Regional aspects of environmental informatics." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 59, no. 4 (2011): 227–32. http://dx.doi.org/10.11118/actaun201159040227.
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Information and communication technology diffuse through the whole of our current practices and form our entire life. Just in the media, at political, economic and scientific level, and often even in normal conversation among people is the global environment very frequented and discussed question. The results of the environment monitoring in Czech Republic (its natural and humane components) are publicized in numeric form (field measurements data including derived indicators) and in cartography representation (Geographical Information System) at any internet servers of various levels of public administration. Environment indicators are nation-wide. At self-government region management authority level publication of regional indicators describing natural and human components of environment is null practically, in both print and electronic form. Similar situation persists in describing preserved natural territories (nature monuments and reservations, Natura2000 areas, etc. …). Somewhat better is the situation of historical and in part of technical objects. Complex description of regional environment is missing.
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Bouida, Ahmed, Mustapha Khelifi, Mohammed Beladgham, and Fatima-Zohra Hamlili. "Monte Carlo Optimization of a Combined Image Quality Assessment for Compressed Images Evaluation." Traitement du Signal 38, no. 2 (April 30, 2021): 281–89. http://dx.doi.org/10.18280/ts.380204.
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In image processing, using compression is very important in various applications, especially those using data quantities in transmission and storing. This importance becomes most required with the evolution of image quantities and the big data systems explosion. The image compression allows reducing the required binary volume of image data by encoding the image for transmission goal or database saving. The principal problem with image compression when reducing its size is the degradation that enters the image. This degradation can affect the quality of use of the compressed image. To evaluate and qualify this quality, we investigate the use of textural combined image quality metrics (TCQ) based on the fusion of full reference structural, textural, and edge evaluation metrics. To optimize this metric, we use the Monte Carlo optimization method. This approach allows us to qualify our compressed images and propose the best metric that evaluates compressed images according to several textural quality aspects.
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HOTTA, ZEN-U. LUCIAN, and TAKASHI INOGUCHI. "Psychometric Approach to Social Capital: Using AsiaBarometer Survey Data in 29 Asian Societies." Japanese Journal of Political Science 10, no. 1 (April 2009): 125–39. http://dx.doi.org/10.1017/s146810990800340x.
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AbstractThis paper is one of the few attempts made by social scientists to measure social capital via psychometric approach, and is the only one of such kind to base its evidence on the AsiaBarometer survey data. After first reviewing the history of social capital, including its conceptual emergence and recent literatures, we expose the issue of difficulty in the measurement of social capital despite its topical popularity. We tackle this measurement issue by applying psychometric procedures to the AsiaBarometer survey data of 2004, 2005, and 2006, focusing on questions pertaining to social capital of ordinary individuals residing in the 29 survey societies. This paper is significant in two aspects. First, using simple statistical procedures, it extracts various dimensions of social capital without first knowing what dimensions to extract. In short, it does not try to measure social capital using some kind of pre-defined concepts such as those outlined in the historical review of our predecessors. Rather, it succeeds in manifesting key factors of social capital – altruism, utilitarianism, communitarianism, and concordance with prevailing regime – by mechanically processing collective responses by individual respondents towards survey questions oriented with social capital. Though the paper does not aim to establish its methodology as a widely held consensus on how to measure social capital, it does give credence and recognition to psychometric approaches as effectives means to measure social capital, which, by its very definition, calls for ‘objective’ approaches using collective data to measure ‘subjective’ notions of individual actions within networks. Second, this paper is the first systematic empirical analysis of social capital in all the subregions of Asia, i.e. East, Southeast, South, and Central. It builds on our earlier works, including the 2006 paper on social capital in Central and South Asia, and gives empirical credence to important concepts on Asian political culture.