Artículos de revistas:

1

Harriger, Alka Rani y Thomas I. Ho. "A data processing communication skills course". ACM SIGCSE Bulletin 18, n.º 1 (febrero de 1986): 97–102. http://dx.doi.org/10.1145/953055.5695.

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2

Bishop, Bradley Wade, Ashley Marie Orehek y Hannah R. Collier. "Job Analyses of Earth Science Data Librarians and Data Managers". Bulletin of the American Meteorological Society 102, n.º 7 (julio de 2021): E1384—E1393. http://dx.doi.org/10.1175/bams-d-20-0163.1.

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AbstractThis study’s purpose is to capture the skills of Earth science data managers and librarians through interviews with current job holders. Job analysis interviews were conducted of 14 participants—six librarians and eight data managers—to assess the types and frequencies of job tasks. Participants identified tasks related to communication, including collaboration, teaching, and project management activities. Data-specific tasks included data discovery, processing, and curation, which require an understanding of the data, technology, and information infrastructures to support data use, reuse, and preservation. Most respondents had formal science education and six had a master’s degree in Library and Information Sciences. Most of the knowledge, skills, and abilities for these workers were acquired through on-the-job experience, but future professionals in these careers may benefit from tailored education informed through job analyses.

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3

Tian, Zilu, Peter Lindner, Markus Nissl, Christoph Koch y Val Tannen. "Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations". Proceedings of the ACM on Management of Data 1, n.º 2 (13 de junio de 2023): 1–28. http://dx.doi.org/10.1145/3589296.

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We generalize the bulk-synchronous parallel (BSP) processing model to make it better support agent-based simulations. Such simulations frequently exhibit hierarchical structure in their communication patterns which can be exploited to improve performance. We allow for the creation of temporary artificial network partitions during which agents synchronize only locally within their group in a way that does not compromise the correctness of a simulation. We have built a distributed engine, CloudCity, which uses this idea to improve the locality of computation, communication, and synchronization in such simulations. We experimentally evaluate the performance of our system on a benchmark of simulation workloads and compare it against other popular BSP-like systems, obtaining insights into the impact of various system design choices and optimization on simulation engine performance.

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4

KRYVENCHUK, Yurii y Mykhailo-Yurii KHANAS. "ALGORITHM OF DATA MINING AND PROCESSING OF RELATED DATA IN SOCIAL NETWORKS". Herald of Khmelnytskyi National University. Technical sciences 311, n.º 4 (agosto de 2022): 115–18. http://dx.doi.org/10.31891/2307-5732-2022-311-4-115-118.

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We live in a time of rapid growth of information technology, which is firmly entrenched in our daily lives. It is simply impossible to imagine a modern person without social networks, because they perform a communicative and informational function, namely: communication, information retrieval, news exchange, etc. Five hundred million tweets are posted daily, making Twitter a major social media platform from which topical information on events can be extracted. So, there is a lot of information available to the user, which is difficult to identify something specific and necessary in the usual way viewing. Accordingly, there is a need for technologies that can quickly process large amounts of data and highlight only the information that is useful to a particular user. This technology called recommender systems. It automatically suggest items to users that might be interesting for them. Due to the desire to unite people with common interests, it is relevant to develop a recommendation system based on social networks that help in personification of the user and compilation of his psychotype using his profile. The paper has description and results of the creation of recommendation system. The basis of this work is one of the algorithms used in recommendation systems – the recommendation system is based on content filtering. It analyzes users’ Twitter posts and calculates their interests. If we consider all the words, our model will not have good results and do not pay attention to what is important to use. Therefore, the most important step is always filtering data, so the number one task is to speed up the time of filtering text and retrieving data from the social network for further processing. The feature of this system is that this algorithm uses parallel calculations and frequency analysis of the text.

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5

Bainbridge, David I. "Processing personal data and the data protection directive". Information & Communications Technology Law 6, n.º 1 (marzo de 1997): 17–40. http://dx.doi.org/10.1080/13600834.1997.9965752.

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6

Jian-Fang Xue, Jian-Fang Xue, Qing-Chuan Liu Jian-Fang Xue, Xiao-Yang Zhang Qing-Chuan Liu, Rui Fan Xiao-Yang Zhang y Wei-Min Liu Rui Fan. "Research on Real Time Data Monitoring Method for Intelligent Factory Equipment Based on Ethernet Communication". 電腦學刊 35, n.º 1 (febrero de 2024): 227–33. http://dx.doi.org/10.53106/199115992024023501018.

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<p>This article focuses on the production and processing of sleeve parts, using Ethernet as a data transmission medium to complete data collection and monitoring of typical intelligent factory processing workshops. Firstly, the layout design of the intelligent factory equipment layer, communication layer, and system application layer was completed. Then, unified management of standard and non-standard protocols was implemented for communication between different devices. Then, based on the sensors and sensor data used in each production process, a data collection scheme was designed, and finally, the data collection system was designed, Real time monitoring of data between various devices in the system can guide enterprise production.</p> <p> </p>

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7

Wang, Jinying y Jing Yang. "Multi-Threaded Data Communication in Java for Advanced Computing Environments". Scalable Computing: Practice and Experience 24, n.º 4 (17 de noviembre de 2023): 1087–96. http://dx.doi.org/10.12694/scpe.v24i4.2383.

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The performance of operating systems like computers requires the proper functioning of the computer language interpreter. This interpreter follows various types of programming languages that make the performing of computer programming easy and effective. The application of the programming language of Java helps in processing multiple tasks at once. This research analyzes the novelty of Java-based data communication models in advanced computing services. This performance makes the saving of the resources used for the development of the programming language. All these development includes the performing of the multiple threads communication data processing. These multiple threads help distribute the single processed input in the multi-channel language processing, thus helping the work competition in time. It also reduces the cost of maintaining the programming languages reduced. Thus, the implementing cost of resources required for programming performance is reduced. Therefore, this implementation impacts the programmer to become more indented to use the language transformation process of Java. Moreover, it creates a more effective representation of the audio or visual content represented by a multi-tasking operating system. In this process of development in the language transformation of the operating system, the ability of the operating system for data processing improves. The systematic process of this language transformation helps in systematically transforming multiple programs at once.

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8

Fialoke, Shubham, Vibhu Dharmadhikari, Varun Bhati y Vaibhav Gupta. "Conceptual Framework for the Application of Big Data in the Automobile Industry". International Journal of Advance Research and Innovation 4, n.º 4 (2016): 81–85. http://dx.doi.org/10.51976/ijari.441615.

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The paper sheds light on big data analytics, the science of machine learning viz. data science and how it can be used in today’s automobile industry. Data science is a new field that has emerged out of the coupling of computer science and statistics. The ‘what?’ and ‘how?’ of data sciences are explained thoroughly. After defining what Big Data and Data Science are, the job market of data science is explored. This includes the jobs data scientists undertake and the skills acquired by them viz. machine learning and natural language processing to find patterns in this data and make predictions. Furthermore, the future of big data analytics in manufacturing and production is analyzed, particularly in connected vehicular systems. Today, with the advancement of technology, much media attention has been focused on an area where big data and automobiles intersect: Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication collectively referred to as Machine-to-Machine (M2M) communication. This paper focuses primarily on data science in driverless cars and the advent of Internet of Things (IoT) in automobile technology.

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9

Alenezi, Ali, Ahmad Sawalmeh, Hazim Shakhatreh, Muhannad Almutiry y Nasser Aedh Alreshidi. "A Novel Mining Approach for Data Analysis and Processing Using Unmanned Aerial Vehicles". Complexity 2022 (18 de mayo de 2022): 1–10. http://dx.doi.org/10.1155/2022/6795101.

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In the mining industry, smart surveying and exploration operations for the minerals are essential during mining missions. Usually, these missions are performed in remote areas that do not have a wireless communications infrastructure. This paper proposes to use the unmanned aerial vehicle (UAV) as a relay communication node between the exploration team and the ground control station (GCs). UAV can act as a relay node to provide mobile, flexible, and reliable communication links in remote environments and complex topologies. In this work, the pathloss models in millimeter-wave technology are considered because they provide massive data rates for line of sight scenarios. The optimization problem of identifying a 3D location and trajectory of the UAV relay node is formulated to maximize the total team members’ data rate. Because the problem is non-convex, the particle swarm optimization algorithm is used to solve it and determine an efficient location and trajectory of the UAV.

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10

Feng, Hui y Guozhen Chen. "A Novel Data Visualization Model Based on Autoencoder Using Big Data Analysis and Distributed Processing Technology". Scientific Programming 2022 (17 de enero de 2022): 1–9. http://dx.doi.org/10.1155/2022/7698174.

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From the standpoint of visual elements, this article investigates the use of visual information technology in visual communication design. At this time, information visualization and data visualization are widely used to display visual form, which greatly facilitates people’s use, provides a solid application foundation for visual communication design, and promotes its development. The image presentation of data is a common encoding process, and the reading of image content is the corresponding decoding process from the perspective of encoding and decoding. The combined efficacy of data encoding and image decoding determines the effectiveness of data visualization. It is worth noting that when it comes to “encoding and decoding,” it has been established that the design mode of data visualization and visual communication is not a process of copying images but rather an external form of human thought. Then, there is the unmistakable presence of something unseen in the encoding and decoding processes. It also serves as the encoding and decoding key in the human brain. The image is as follows. From the standpoint of encoding and decoding, this article employs the data visualization self-encoder method to obtain visual data. Design pattern representation for perceptual communication can effectively support users’ rapid motion analysis during the browsing process.

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11

Bliūdžiuvienė, Nijolė y Violeta Černiauskaitė. "Terminology Data Processing: Model of the Dictionary of Librarianship, Information and Book Science". Knygotyra 77 (30 de diciembre de 2021): 306–30. http://dx.doi.org/10.15388/knygotyra.2021.77.96.

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This paper focuses on terminological data identification, management, standardization and linguistic modeling techniques used in preparing a new model of the Lithuanian-English Dictionary of Librarianship, Information and Book Science at the Martynas Mažvydas National Library of Lithuania. This model is analysed from the point of view of current trends in terminology and standardization, and can expand knowledge exchange and help in its exchange accross these areas as well as improve the quality of professional content management in the future. Another aim of this paper was to update the importance of glossaries of technical terms for linguistic representation and global digital dissemination of scientific data in Lithuanian. This can help improve the quality of librarianship, information and communication knowledge, publicity, and wider use.

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12

Zhang, Xi. "Fault Intelligent Processing Method for Data Transmission Channel of Maritime Communication". Journal of Coastal Research 93, sp1 (23 de septiembre de 2019): 699. http://dx.doi.org/10.2112/si93-096.1.

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13

Prema, M., Dr V. Raju y M. Ramya. "Natural Language Processing for Data Science Workforce Analysis". Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 13, n.º 4 (30 de diciembre de 2022): 225–32. http://dx.doi.org/10.58346/jowua.2022.i4.015.

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As the demand for people with Data Science and Data Analysis skills are rising at a very high rate, periodic exploration of the skill sets for jobs in these fields have become essential. This research presents the use of Natural Language Processing for Human Resource Management. It presents the application of such techniques and tools as Python Libraries with Beautiful Soup and Selenium, Web Scrapping, Topic Analysis, Sentiment Analysis, and Natural Language Processing in the identification of skill sets related to Data Scientist, Data Analyst and Data Engineer.

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14

Mishin, Dmitry V., Anatoly A. Gladkikh, Vladislav I. Kutuzov y Aqeel Latif Khudair. "Research of cognitive data processing in radio communication systems with permutation decoding". Physics of Wave Processes and Radio Systems 27, n.º 1 (29 de marzo de 2024): 103–12. http://dx.doi.org/10.18469/1810-3189.2024.27.1.103-112.

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Background. The need to use permutation decoding tools in radio communication systems is explained by the increased error correction capabilities of this method. In this case, complex matrix calculations during the search for equivalent codes according to the classical scheme of permutation decoding are replaced by a list of ready-made solutions. These solutions are calculated a priori and entered into the cognitive cards of the decoder processor, which makes the method a convenient tool in the procedure for ensuring information reliability when controlling, for example, unmanned vehicles via radio channels. In fact, matrix calculations on board are replaced by searching the list of cognitive maps for the right solution corresponding in real time to the current permutation of reliable character numerators. However, data processing in the decoder’s cognitive map requires a special description. Aim. The study of methods for identifying permutations of character numerators of code vectors in order to effectively transform them in a system of cognitive maps of a permutation decoder. Methods. The paper reveals the subtle structure of cognitive maps of productive and unproductive permutations of numerators, which allows on a regular basis to obtain an alternative solution for switching to a set of productive permutations when the receiver receives an unproductive permutation, thereby excluding the use of trial and error. Results. The efficiency of the permutation decoder increases due to the implementation of permutations that were originally included in a set of solutions introduced into the cognitive map of unproductive permutations. Conclusion. A family of microcontrollers is proposed to implement the principle of interaction of cognitive maps with a system of alternative solutions.

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15

Gama, João, Pedro Pereira Rodrigues y Luís Lopes. "Clustering distributed sensor data streams using local processing and reduced communication". Intelligent Data Analysis 15, n.º 1 (19 de enero de 2011): 3–28. http://dx.doi.org/10.3233/ida-2010-0453.

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16

Seiling, Lukas, Rita Gsenger, Filmona Mulugeta, Marte Henningsen, Lena Mischau y Marie Schirmbeck. "Beware: Processing of Personal Data—Informed Consent Through Risk Communication". IEEE Transactions on Professional Communication 67, n.º 1 (marzo de 2024): 4–25. http://dx.doi.org/10.1109/tpc.2024.3361328.

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17

Choi, Sujin. "When Digital Trace Data Meet Traditional Communication Theory: Theoretical/Methodological Directions". Social Science Computer Review 38, n.º 1 (24 de julio de 2018): 91–107. http://dx.doi.org/10.1177/0894439318788618.

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This study suggests one direction of theoretical and methodological coupling of communication research with the digital trace data, utilizing its differences from the traditional social science approach (e.g., sampling vs. population, normal distribution vs. power–law distribution, generalization vs. simulation, deductive vs. inductive, and perceived vs. actual). We propose specific examples of (i) combining communication research with trace data methodologically and theoretically; (ii) collaborating with linguistic psychology complemented with the automated content analysis and natural language processing techniques; and (iii) creating new theoretical inquiries by configuring the granular level of interactivity and underlying dynamics, observing the longitudinal change of interactions, and discovering the neglected presence of outliers and the invisibles. We expect the direction suggested by this study contributes to deepening our understanding of human communication behavior.

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18

Gough, T. G. "Data Processing Methods". Data Processing 27, n.º 5 (junio de 1985): 51. http://dx.doi.org/10.1016/0011-684x(85)90145-5.

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19

Richards, B. "Data processing mathematics". Data Processing 28, n.º 3 (abril de 1986): 162. http://dx.doi.org/10.1016/0011-684x(86)90015-8.

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20

Lepper, AM. "Data Processing Budgets". Data Processing 28, n.º 2 (marzo de 1986): 103. http://dx.doi.org/10.1016/0011-684x(86)90114-0.

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21

Chornenkyi, Oleksandr. "USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES FOR POLITICAL SCIENCE RESEARCH". 42, n.º 42 (30 de diciembre de 2022): 38–44. http://dx.doi.org/10.26565/2220-8089-2022-42-06.

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The article shows a perspective using information and communication technologies for the amplification of the political processes research methodology. It considered the evolving of research with computational techniques using, complications and a variety of possible approaches. It gives information about using simulation modeling, especially the autonomous adaptive agent method for the research related to the course of political events prognostication. It shows the possibilities of computer modeling for the analysis of complex dynamic systems in which decision-making at the micro level changes the system as a whole. In the article are noted the advantages and disadvantages of simulation modeling for political science research. It is stressed that the internet and social network development is important for modern scientists and gives examples of using social networks as a field and tool for political science analysis. It is noted that the use of such an approach can be an important addition to classical methods. It describes in short the possibilities of «Big Data analysis» for political science and stressed the advantages of the method for research conducting. The text provides information about the «text as data» method for automatically mining and analytical processing of large-scale textual information. It gives an example of the “text as data” used and is noted that the proposed method is useful for comparative analysis. It shows the possibilities of using the method of automatic text analysis not only for processing modern information in digital form but also for the information contained in printed sources using computer optical text recognition. At the same time describes in short, the limitations and disadvantages of this method. Conclusions are drawn that information and communication technologies expands the methodology of political science research, improves efficiency and reliability of conclusions.

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22

Jonatan, Gilbert, Haeyoon Cho, Hyojun Son, Xiangyu Wu, Neal Livesay, Evelio Mora, Kaustubh Shivdikar et al. "Scalability Limitations of Processing-in-Memory using Real System Evaluations". Proceedings of the ACM on Measurement and Analysis of Computing Systems 8, n.º 1 (16 de febrero de 2024): 1–28. http://dx.doi.org/10.1145/3639046.

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Processing-in-memory (PIM), where the compute is moved closer to the memory or the data, has been widely explored to accelerate emerging workloads. Recently, different PIM-based systems have been announced by memory vendors to minimize data movement and improve performance as well as energy efficiency. One critical component of PIM is the large amount of compute parallelism provided across many PIM "nodes'' or the compute units near the memory. In this work, we provide an extensive evaluation and analysis of real PIM systems based on UPMEM PIM. We show that while there are benefits of PIM, there are also scalability challenges and limitations as the number of PIM nodes increases. In particular, we show how collective communications that are commonly found in many kernels/workloads can be problematic for PIM systems. To evaluate the impact of collective communication in PIM architectures, we provide an in-depth analysis of two workloads on the UPMEM PIM system that utilize representative common collective communication patterns -- AllReduce and All-to-All communication. Specifically, we evaluate 1) embedding tables that are commonly used in recommendation systems that require AllReduce and 2) the Number Theoretic Transform (NTT) kernel which is a critical component of Fully Homomorphic Encryption (FHE) that requires All-to-All communication. We analyze the performance benefits of these workloads and show how they can be efficiently mapped to the PIM architecture through alternative data partitioning. However, since each PIM compute unit can only access its local memory, when communication is necessary between PIM nodes (or remote data is needed), communication between the compute units must be done through the host CPU, thereby severely hampering application performance. To increase the scalability (or applicability) of PIM to future workloads, we make the case for how future PIM architectures need efficient communication or interconnection networks between the PIM nodes that require both hardware and software support.

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23

Chornous, Galyna, Yana Fareniuk, Vincentas Rolandas Giedraitis, Erstida Ulvidienė y Ganna Kharlamova. "A data science-based marketing decision support system for brand management". Innovative Marketing 19, n.º 2 (14 de abril de 2023): 38–50. http://dx.doi.org/10.21511/im.19(2).2023.04.

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To improve the marketing activity and brand management and justify the most effective marketing decisions, organizations should implement different information technologies, mathematical methods and models into the marketing decision support system (MDSS). The goal of this paper is to form an architecture of an MDSS, the model base of which is developed on Data Science tools, in particular regression analysis and machine learning methods. The proposed MDSS is a multi-agent information system comprising nine intellectual agents (market environment monitoring, data processing, marketing mix modeling, price policy support, portfolio management, strategic analysis, forecasting, customer segmentation, and customer classification). The functionality of these agents is realized through Data Science, which allows for the optimization of marketing activities (e.g., an effective brand management strategy and its elements (portfolio strategy, price policy, and media strategy) or solving the problems of attracting new and retaining current customers with the maximal return on marketing investments). The MDSS analyzes the marketing environment, media activity, and business indicators by constructing different models and forecasting various combinations of marketing factors to select the best one. The joint work of MDSS agents provides decision-makers with interactive reports. The research findings offer a scientific basis for making effective marketing decisions based on data, and the proposed MDSS can become part of an intelligent system for planning marketing activities.

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24

Sirapaisan, Soontorn, Ning Zhang y Qian He. "Communication Pattern Based Data Authentication (CPDA) Designed for Big Data Processing in a Multiple Public Cloud Environment". IEEE Access 8 (2020): 107716–48. http://dx.doi.org/10.1109/access.2020.3000989.

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25

Li, Wenqi, Pengyi Zhang y Jun Wang. "Humanities Scholars' Understanding of Data and the Implications for Humanities Data Curation". Proceedings of the Association for Information Science and Technology 60, n.º 1 (octubre de 2023): 1034–36. http://dx.doi.org/10.1002/pra2.936.

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ABSTRACTThis study addresses the need for a shared understanding of humanities data to enhance data curation. Through interviews with 27 scholars, it identifies two ways scholars conceptualize data ‐ by format or role in research. It highlights three unique aspects: diverse requirements of materiality and processing levels, significance of authorship and perspective, and the dual role of tertiary sources. The study suggests prioritizing provenance, facilitating data documentation, curating tertiary sources for wider use, and establishing scholarly communication mechanisms for effective data curation.

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Proshin, A. A., A. M. Matveev, A. V. Kashnitskiy y M. A. Burtsev. "Satellite data efficient processing with dynamic block archive access". Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa 17, n.º 6 (2020): 56–60. http://dx.doi.org/10.21046/2070-7401-2020-17-6-56-60.

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27

Song, Won Wook, Youngseok Yang, Jeongyoon Eo, Jangho Seo, Joo Yeon Kim, Sanha Lee, Gyewon Lee, Taegeon Um, Haeyoon Cho y Byung-Gon Chun. "Apache Nemo: A Framework for Optimizing Distributed Data Processing". ACM Transactions on Computer Systems 38, n.º 3-4 (30 de noviembre de 2020): 1–31. http://dx.doi.org/10.1145/3468144.

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Optimizing scheduling and communication of distributed data processing for resource and data characteristics is crucial for achieving high performance. Existing approaches to such optimizations largely fall into two categories. First, distributed runtimes provide low-level policy interfaces to apply the optimizations, but do not ensure the maintenance of correct application semantics and thus often require significant effort to use. Second, policy interfaces that extend a high-level application programming model ensure correctness, but do not provide sufficient fine control. We describe Apache Nemo, an optimization framework for distributed dataflow processing that provides fine control for high performance and also ensures correctness for ease of use. We combine several techniques to achieve this, including an intermediate representation of dataflow, compiler optimization passes, and runtime extensions. Our evaluation results show that Nemo enables composable and reusable optimizations that bring performance improvements on par with existing specialized runtimes tailored for a specific deployment scenario. Apache Nemo is open-sourced at https://nemo.apache.org as an Apache incubator project.

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28

Clark, Nigel. "Materializing informatics: From data processing to molecular engineering". Information, Communication & Society 1, n.º 1 (marzo de 1998): 70–90. http://dx.doi.org/10.1080/13691189809358954.

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Pangrazio, Luci y Neil Selwyn. "‘Personal data literacies’: A critical literacies approach to enhancing understandings of personal digital data". New Media & Society 21, n.º 2 (20 de septiembre de 2018): 419–37. http://dx.doi.org/10.1177/1461444818799523.

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The capacity to understand and control one’s personal data is now a crucial part of living in contemporary society. In this sense, traditional concerns over supporting the development of ‘digital literacy’ are now being usurped by concerns over citizens’ ‘data literacies’. In contrast to recent data safety and data science approaches, this article argues for a more critical form of ‘personal data literacies’ where digital data are understood as socially situated and context dependent. Drawing on the critical literacies tradition, the article outlines a range of salient socio-technical understandings of personal data generation and processing. Specifically, the article proposes a framework of ‘Personal Data Literacies’ that distinguishes five significant domains: (1) Data Identification, (2) Data Understandings, (3) Data Reflexivity, (4) Data Uses, and (5) Data Tactics. The article concludes by outlining the implications of this framework for future education and research around the area of individuals’ understandings of personal data.

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Zhu, Dingju. "Adjacent Zero Communication Parallel Cloud Computing Method and Its System forN-Body Problem with Short-Range Interaction Domain Decomposition". Advances in Astronomy 2016 (2016): 1–5. http://dx.doi.org/10.1155/2016/9049828.

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Although parallel computing is used in the existing numerical solutions ofN-body problem, tons of communications betweenNparticles render the parallel efficiency extremely low. Despite the fact that domain decomposition based on short-range interaction is used, whenNis exceedingly large and lots of communications exist between particles in adjacent areas, the parallel efficiency remains terribly low. This paper puts forward adjacent zero communication parallel cloud computing method forN-body problem with short-range interaction domain decomposition. According to this method, the adjacent subblock data are exchanged and redundantly stored without acquiring data from other subblocks in the parallel processing, so the waiting time for data transmission can be saved and hence the parallel processing efficiency can be enhanced substantially.

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Kazemi, Reza, Fernando Perez-Gonzalez, Mohammad Ali Akhaee y Fereydoon Behnia. "Data Hiding Robust to Mobile Communication Vocoders". IEEE Transactions on Multimedia 18, n.º 12 (diciembre de 2016): 2345–57. http://dx.doi.org/10.1109/tmm.2016.2599149.

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32

E, Băutu. "Osimin - A meteorological data platform for processing SIMIN data built on open source software". Scientific Bulletin of Naval Academy XIX, n.º 1 (15 de julio de 2018): 555–60. http://dx.doi.org/10.21279/1454-864x-18-i1-083.

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In 2003, the Romanian National Institute of Meteorology and Hydrology inaugurated National Integrated Meteorological System (SIMIN), consisting of a network of stations and instruments for measurement and detection of hydro and meteorological data, a specialized communication network, a forecasting network, and a dissemination network. With a setup cost of $55 million and a national priority role, SIMIN (implemented by Lockheed Martin) is relatively black boxed even today, using proprietary technology and software. Few institutions have direct access to the data it provides. In this paper, we present the design of a web-based software application built on open source software that allows easy access to and processing of data available in SIMIN.

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Wang, Baoqing. "Wireless Multifunctional Display Platform for Visual Communication Design Based on IoT Big Data". Mobile Information Systems 2022 (30 de septiembre de 2022): 1–12. http://dx.doi.org/10.1155/2022/9270271.

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An important role of display visual design is advertising and advertising communication, which is an integrated medium, that is, a medium for communicating information. Visual communication design is the most direct way of information transmission in modern society. In today’s increasingly complex and diversified information, visual communication design has been more and more widely used in terms of form and function. On the display platform, the use of visual elements and the expression of visual communication design allows us to examine the different spatial experiences that visual communication design brings to people from a new perspective and adjust the way it is communicated, so as to find a scientific expression. This paper focused on the role of visual communication in display design and discussed its specific application in display design. The use of visual elements in the display space provides a new visual platform for spatial information, making the space design more connotative and cultural. For the smooth experience of media fusion design, it is necessary to ensure that information can be transmitted quickly and smoothly in every link of its processing. In the data write throughput experiment of the microperceptual data layer, the maximum write speed increased by 85.2% compared with the direct write method using the TSBPS method. The findings demonstrated that the IOT-HSQM model’s strategy of first queuing and then segmentation writes may more effectively fulfill the demands of high bandwidth than straight data transmission to HDFS (Hadoop Distributed File System).

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Liu, Yazhen, Pengfei Fan, Jiyang Zhu, Liping Wen y Xiongfei Fan. "High-efficient energy saving processing of big data of communication under mobile cloud computing". International Journal of Modeling, Simulation, and Scientific Computing 10, n.º 04 (agosto de 2019): 1950025. http://dx.doi.org/10.1142/s1793962319500259.

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From 21st century, it is hard for traditional storage and algorithm to provide service with high quality because of big data of communication which grows rapidly. Thus, cloud computing technology with relatively low cost of hardware facilities is created. However, to guarantee the quality of service in the situation of the rapid growth of data volume, the energy consumption cost of cloud computing begins to exceed the hardware cost. In order to solve the problems mentioned above, this study briefly introduced the virtual machine and its energy consumption model in the mobile cloud environment, introduced the basic principle of the virtual machine migration strategy based on the artificial bee colony algorithm and then simulated the performance of processing strategy to big data of communication based on artificial bee colony algorithm in mobile cloud computing environment by CloudSim3.0 software, which was compared with the performance of two algorithms, resource management (RM) and genetic algorithm (GA). The results showed that the power consumption of the migration strategy based on the artificial bee colony algorithm was lower than the other two strategies, and there were fewer failed virtual machines under the same number of requests, which meant that the service quality was higher.

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Arkit, Grzegorz, Aleksandra Arkit y Silva Robak. "APPLYING E-LEARNING SYSTEMS FOR BIG DATA EDUCATION". Information System in Management 7, n.º 2 (30 de junio de 2018): 85–96. http://dx.doi.org/10.22630/isim.2018.7.2.8.

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Processing massive data amounts and Big Data became nowadays one of the most significant problems in computer science. The difficulties with education on this field arise, the appropriate teaching methods and tools are needed. The processing of vast amounts of data arriving quickly requires the choice and arrangement of extended hardware platforms.In the paper we will show an approach for teaching students in Big Data and also the choice and arrangement of an appropriate programming platform for Big Data laboratories. Usage of an e-learning platform Moodle, a dedicated platform for teaching, could allow the teaching staff and students an improved contact with by enhancing mutually communication possibilities. We will show the preparation of Hadoop platform tools and Big Data cluster based on Cloudera and Ambari. The both solutions together could enable to cope with the problems in education of students in the field of Big Data.

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Arnaut, Filip, Aleksandra Kolarski y Vladimir A. Srećković. "Machine Learning Classification Workflow and Datasets for Ionospheric VLF Data Exclusion". Data 9, n.º 1 (18 de enero de 2024): 17. http://dx.doi.org/10.3390/data9010017.

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Machine learning (ML) methods are commonly applied in the fields of extraterrestrial physics, space science, and plasma physics. In a prior publication, an ML classification technique, the Random Forest (RF) algorithm, was utilized to automatically identify and categorize erroneous signals, including instrument errors, noisy signals, outlier data points, and the impact of solar flares (SFs) on the ionosphere. This data communication includes the pre-processed dataset used in the aforementioned research, along with a workflow that utilizes the PyCaret library and a post-processing workflow. The code and data serve educational purposes in the interdisciplinary field of ML and ionospheric physics science, as well as being useful to other researchers for diverse objectives.

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Lechler, Sabrina, Angelo Canzaniello, Bernhard Roßmann, Heiko A. von der Gracht y Evi Hartmann. "Real-time data processing in supply chain management: revealing the uncertainty dilemma". International Journal of Physical Distribution & Logistics Management 49, n.º 10 (10 de diciembre de 2019): 1003–19. http://dx.doi.org/10.1108/ijpdlm-12-2017-0398.

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Purpose Particularly in volatile, uncertain, complex and ambiguous (VUCA) business conditions, staff in supply chain management (SCM) look to real-time (RT) data processing to reduce uncertainties. However, based on the premise that data processing can be perfectly mastered, such expectations do not reflect reality. The purpose of this paper is to investigate whether RT data processing reduces SCM uncertainties under real-world conditions. Design/methodology/approach Aiming to facilitate communication on the research question, a Delphi expert survey was conducted to identify challenges of RT data processing in SCM operations and to assess whether it does influence the reduction of SCM uncertainty. In total, 14 prospective statements concerning RT data processing in SCM operations were developed and evaluated by 68 SCM and data-science experts. Findings RT data processing was found to have an ambivalent influence on the reduction of SCM complexity and associated uncertainty. Analysis of the data collected from the study participants revealed a new type of uncertainty related to SCM data itself. Originality/value This paper discusses the challenges of gathering relevant, timely and accurate data sets in VUCA environments and creates awareness of the relationship between data-related uncertainty and SCM uncertainty. Thus, it provides valuable insights for practitioners and the basis for further research on this subject.

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Noor, Noor Sattar, Dalal Abdulmohsin Hammood, Ali Al-Naji y Javaan Chahl. "A Fast Text-to-Image Encryption-Decryption Algorithm for Secure Network Communication". Computers 11, n.º 3 (9 de marzo de 2022): 39. http://dx.doi.org/10.3390/computers11030039.

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Data security is the science of protecting data in information technology, including authentication, data encryption, data decryption, data recovery, and user protection. To protect data from unauthorized disclosure and modification, a secure algorithm should be used. Many techniques have been proposed to encrypt text to an image. Most past studies used RGB layers to encrypt text to an image. In this paper, a Text-to-Image Encryption-Decryption (TTIED) algorithm based on Cyan, Magenta, Yellow, Key/Black (CMYK) mode is proposed to improve security, capacity, and processing time. The results show that the capacity increased from one to four times compared to RGB mode. Security was also improved due to a decrease in the probability of an adversary discovering keys. The processing time ranged between 0.001 ms (668 characters) and 31 s (25 million characters), depending on the length of the text. The compression rate for the encrypted file was decreased compared to WinRAR. In this study, Arabic and English texts were encrypted and decrypted.

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Zhu, Hua. "Innovation of Visual Communication Design Based on Wireless Virtualization Network Architecture". Mobile Information Systems 2022 (25 de agosto de 2022): 1–10. http://dx.doi.org/10.1155/2022/2205362.

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With the continuous development of the times and the continuous development of science and technology, embedded technology is constantly improving and more and more innovative methods have broken the situation of traditional multimedia use and combined visual language with design models, which has promoted the development of culture and the development of science and technology. The purpose of this experiment is to design a new structure by combining it with an image processing system based on embedded technology. In the experiment, we will use the QT graphics interface to connect with another same system interface, according to the characteristics of embedded technology data and image processing, design a new interface model, make the image binary, and then use calculations to prove the new feasibility of the way. In this report, we showed some of the programming steps and fully explained the design and results of the model, but it took a long time. The result of the test is that the embedded technology has a long-term experimental value and application value because the system can process images in real time and collect and store data faster; the resolution of the obtained images is also higher, and less energy is lost.

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Yen, Chih-Ta y Guo-Chang Wang. "Frequency-shift Keying-based Underwater Acoustic Sonar Sensor Communication System with Robust Data Processing Technology". Sensors and Materials 36, n.º 2 (29 de febrero de 2024): 701. http://dx.doi.org/10.18494/sam4693.

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Arcaute, Elsa y José J. Ramasco. "Recent advances in urban system science: Models and data". PLOS ONE 17, n.º 8 (17 de agosto de 2022): e0272863. http://dx.doi.org/10.1371/journal.pone.0272863.

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Cities are characterized by the presence of a dense population with a high potential for interactions between individuals of diverse backgrounds. They appear in parallel to the Neolithic revolution a few millennia ago. The advantages brought in terms of agglomeration for economy, innovation, social and cultural advancements have kept them as a major landmark in recent human history. There are many different aspects to study in urban systems from a scientific point of view, one can concentrate in demography and population evolution, mobility, economic output, land use and urban planning, home accessibility and real estate market, energy and water consumption, waste processing, health, education, integration of minorities, just to name a few. In the last decade, the introduction of communication and information technologies have enormously facilitated the collection of datasets on these and other questions, making possible a more quantitative approach to city science. All these topics have been addressed in many works in the literature, and we do not intend to offer here a systematic review. Instead, we will only provide a brief taste of some of these above-mentioned aspects, which could serve as an introduction to the collection ‘Cities as Complex Systems’. Such a non-systematic view will lead us to leave outside many relevant papers, and for this we must apologise.

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Qian, Yu. "Signal Processing and Channel Modelling for 5G Millimeter-Wave Communication Environment". Volume 31, Issue 3 31, n.º 3 (4 de abril de 2024): 137–50. http://dx.doi.org/10.20532/cit.2023.1005746.

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Compared to frequency bands below 6 GHz, 5G millimeter waves offer several advantages, including a large bandwidth, minimal null delay, and flexible null port configuration. To comprehend the channel characteristics of 5G millimeter-wave technology, conducting channel measurements on it is essential. Hence, to ensure precise 5G millimeter-wave channel measurements and facilitate channel modelling, this study recommends utilizing a phased array antenna-based method for the channel measurement. The experimental outcomes demonstrated that the shadow fading term of the actual measurement data follows a normal distribution in both line-of-sight and non-line-of-sight scenarios. Additionally, the K-S test confirms that all Boolean variables are equal to 1 and all numerical variables are greater than α. The line-of-sight scenario produces a logarithmic mean delay extension of –7.4 and a standard deviation of 0.12, based on actual measured data. Meanwhile, the 3GPP shows a logarithmic mean of –7.4 and a standard deviation of 0.15. In the non-line-of-sight scenario, the logarithmic mean delay extension is –7.3 with a standard deviation of 0.17, while the 3GPP produces a logarithmic mean of –7.4 and a standard deviation of 0.19. The data presented closely adheres to the 3GPP model. It is evident that the channel measurement method, proposed within the study, effectively measures the parameters within the delay domain. Concerning the prolonged pitch angle and azimuth angle ranges, they measure 14°–31° and 14°–29° in the line-of-sight situation, and 21°–33° and 19°–37° in the corresponding non-line-of-sight situation. Additionally, the logarithmic mean and standard deviation for both the pitch angle and azimuth angle in the line-of-sight scenario are 1.32 and 0.09, respectively. The logarithmic mean and standard deviation of the azimuth angle of arrival are 1.35 and 0.08, respectively. The above results show that the method proposed in the study enables the measurement of 5G millimeter-wave channels and is important for millimeter-wave channel modelling.

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Elagin, V., G. Vrublevskiy, E. Mirzoev y A. Ektova. "REVIEW OF 5G NETWORK SERVICES AND THEIR INTEGRATION WITH THE NETWORK DATA ANALYTIC FUNCTION". Telecom IT 9, n.º 2 (28 de julio de 2021): 30–39. http://dx.doi.org/10.31854/2307-1303-2021-9-2-30-39.

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The still widely used 4G networks are not able to adequately meet the constantly emerging new needs of users for mobile services. In their attempts to meet the needs and requests of subscribers, the operators faced a number of problems, namely: the lack of flexibility of communication networks, their complexity, and the increase and constant increase in the cost of operating communication networks. The technology of super-dense 5G networks allows to solve these problems and eliminate shortcomings to some extent, thus becoming a logical development of mobile communication networks. However, 5G, with all its advantages and development prospects, both within the framework of the network architecture and the variety of services provided, faces the problem of a large array of processed data, or rather their analysis – a method of data processing to improve the quality of service of 5G communication networks.

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Plantin, Jean-Christophe. "The data archive as factory: Alienation and resistance of data processors". Big Data & Society 8, n.º 1 (enero de 2021): 205395172110075. http://dx.doi.org/10.1177/20539517211007510.

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Archival data processing consists of cleaning and formatting data between the moment a dataset is deposited and its publication on the archive’s website. In this article, I approach data processing by combining scholarship on invisible labor in knowledge infrastructures with a Marxian framework and show the relevance of considering data processing as factory labor. Using this perspective to analyze ethnographic data collected during a six-month participatory observation at a U.S. data archive, I generate a taxonomy of the forms of alienation that data processing generates, but also the types of resistance that processors develop, across four categories: routine, speed, skill, and meaning. This synthetic approach demonstrates, first, that data processing reproduces typical forms of factory worker’s alienation: processors are asked to work along a strict standardized pipeline, at a fast pace, without acquiring substantive skills or having a meaningful involvement in their work. It reveals, second, how data processors resist the alienating nature of this workflow by developing multiple tactics along the same four categories. Seen through this dual lens, data processors are therefore not only invisible workers, but also factory workers who follow and subvert a workflow organized as an assembly line. I conclude by proposing a four-step framework to better value the social contribution of data workers beyond the archive.

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Hagedorn, Christina, Tanner Sorensen, Adam Lammert, Asterios Toutios, Louis Goldstein, Dani Byrd y Shrikanth Narayanan. "Engineering Innovation in Speech Science: Data and Technologies". Perspectives of the ASHA Special Interest Groups 4, n.º 2 (15 de abril de 2019): 411–20. http://dx.doi.org/10.1044/2018_pers-sig19-2018-0003.

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Purpose As increasing amounts and types of speech data become accessible, health care and technology industries increasingly demand quantitative insight into speech content. The potential for speech data to provide insight into cognitive, affective, and psychological health states and behavior crucially depends on the ability to integrate speech data into the scientific process. Current engineering methods for acquiring, analyzing, and modeling speech data present the opportunity to integrate speech data into the scientific process. Additionally, machine learning systems recognize patterns in data that can facilitate hypothesis generation, data analysis, and statistical modeling. The goals of the present article are (a) to review developments across these domains that have allowed real-time magnetic resonance imaging to shed light on aspects of atypical speech articulation; (b) in a parallel vein, to discuss how advancements in signal processing have allowed for an improved understanding of communication markers associated with autism spectrum disorder; and (c) to highlight the clinical significance and implications of the application of these technological advancements to each of these areas. Conclusion The collaboration of engineers, speech scientists, and clinicians has resulted in (a) the development of biologically inspired technology that has been proven useful for both small- and large-scale analyses, (b) a deepened practical and theoretical understanding of both typical and impaired speech production, and (c) the establishment and enhancement of diagnostic and therapeutic tools, all having far-reaching, interdisciplinary significance. Supplemental Material https://doi.org/10.23641/asha.7740191

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Khomutov, Sergey Y., Oksana V. Mandrikova, Ekaterina A. Budilova, Kusumita Arora y Lingala Manjula. "Noise in raw data from magnetic observatories". Geoscientific Instrumentation, Methods and Data Systems 6, n.º 2 (15 de septiembre de 2017): 329–43. http://dx.doi.org/10.5194/gi-6-329-2017.

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Abstract. In spite of significant progress in the development of new devices for magnetic measurements, mathematical and computational technologies for data processing and means of communication, the quality of magnetic data accessible through the data centres (for example, World Data Centres or INTERMAGNET) still largely depends on the actual conditions in which observation of the Earth's magnetic field is performed at observatories. Processing of raw data of magnetic measurements by observatory staff plays an important role. It includes effective identification of noise and elimination of its influence on final data. In this paper, on the basis of the experience gained during long-term magnetic monitoring carried out at the observatories of IKIR FEB RAS (Russia) and CSIR-NGRI (India), we present a review of methods commonly encountered in actual practice for noise identification and the possibility of reducing noise influence.

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Nanda, Pooja y Vikas Kumar. "Information Processing and Data Analytics for Decision Making". Information Resources Management Journal 35, n.º 2 (abril de 2022): 1–14. http://dx.doi.org/10.4018/irmj.291693.

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Decision making is required by all organizations; however, the decision making styles may differ. ost commonly used decision styles include: (a) Autocratic (b) Democratic (c) Consensus and (d) Participatory. With the Globalization and expansion of businesses, professionals have become highly dependent upon the technology to support the decision making process and decision support systems have come-up as a fastest growing discipline. Present work discusses the evolution of computerized decision support, considering the: (a) Model Driven (b) Data Driven (c) Communication Driven (d) Document Driven and (e) Knowledge Driven decision support systems. All three different business levels: Operational, Tactical and Strategic have been considered in the present work to review the development of decision support systems. The traditional data analysis based approaches have been compared with the latest data analytics approaches including the social media analytics and web analytics. Examples from the different industry sectors have been incorporated for better illustrations of decision support.

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Мельник, Василь Михайлович, Петро Антонович Пех, Катерина Вікторівна Мельник, Наталія Володимирівна Багнюк y Оксана Костянтинівна Жигаревич. "Design and implementation of inter-domain communication mechanism for high performance data processing". Eastern-European Journal of Enterprise Technologies 1, n.º 9(79) (27 de febrero de 2016): 10. http://dx.doi.org/10.15587/1729-4061.2016.60629.

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Jihannita, Jihannita y Faninda Novika Pertiwi. "SCIENCE LEARNING DISCOURSE BASED ON CLASSROOM REPRESENTATION PRACTICE TO PROCESS CONCEPT OF MATERIAL PRESSURE". INSECTA: Integrative Science Education and Teaching Activity Journal 3, n.º 2 (30 de noviembre de 2022): 140–49. http://dx.doi.org/10.21154/insecta.v3i2.5124.

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Science learning should involve the use of active representation as a medium of communication between teachers and students. This is because representation becomes a medium of communication in the processing of science concepts provided by teachers, and the abilities produced by students themselves during science learning. This study aims to explain class discourse in science learning at SMPN 1 Jetis, based on the focus of discussing the relationship between knowledge representation, and communication patterns. The instruments in this study are questionnaires, and representation ability tests. The data obtained is tabulated in Microsoft Excel, then it is analyzed descriptively. The results showed that science learning at SMPN 1 Jetis was mediated with three types of existing representations, namely active, iconic, and symbolic alternately and simultaneously. The representation ability of students of SMPN 1 Jetis during the learning of the concept of material pressure, reached a score of 81.25 in the category of excellent representation ability; and 2) the shift of the three patterns of combination of representations that exist in science learning at SMPN 1 Jetis directs learning to dialogical, and authoritative communication patterns.

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Subudiartha, I. Nyoman. "Implementasi Penelitian Participatory Action Research Dalam Disiplin Keilmuan Desain Komunikasi Visual". JISHUM : Jurnal Ilmu Sosial dan Humaniora 2, n.º 2 (29 de enero de 2024): 275–82. http://dx.doi.org/10.57248/jishum.v2i2.332.

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Visual Communication Design is one of the design sciences that studies graphic processing procedures to convey messages visually. Visual Communication Design is also a major in tertiary institutions, both public and private. In Indonesia itself, the term DKV was popular in the 80s where DKV was popularized by Gert Dumbar. The aim this research is to find out whether PAR research can be used in the science of Visual Communication Design by giving examples of the application of PAR research in the science of Visual Communication Design. Like other lecture majors that are closely related to research, Visual Communication Design has many choices of research methods that can be used to research and design. One of the research methods that can be used in the science of Visual Communication Design is applied research or Participatory Action Research (PAR). This research is one of the qualitative research methods in which this research involves participation in its implementation. When Visual Communication Design is associated with Applied Research, the question arises whether Applied Research can be used in Visual Communication Design scholarship. By using a qualitative descriptive method, these two things become interesting topics to discuss. Through a qualitative descriptive method by collecting data through written sources in the form of books and online journals as well as describing and explaining the results of the research. After conducting research, the authors conclude that Applied Research can be used in Visual Communication Design science because there are other researchers who use this method.

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