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Journal articles on the topic 'SPARK (Electronic resource)'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

J.Balaraju, Et al. "Inspired Symbol-based Authentication against Dictionary attacks Using ML Algorithm." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2197–200. http://dx.doi.org/10.17762/ijritcc.v11i9.9223.

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Verifying an individual's identity before granting them access to a linked device, an internet service, or another resource is known as user authentication. The significance of authentication lies in its ability to safeguard data, apps, and networks for companies by limiting access to their protected resources to only authorized individuals or processes. This paper used the popular Big data technology Apache Spark for storing, and processing large data and proposed a novel authentication framework. A viable replacement for conventional alphanumeric passwords, bio-metric and facial authenticati

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Sun, Qing, Tao Wu, and Jia Hua. "Design of Distributed Human Resource Management System of Spark Framework Based on Fuzzy Clustering." Journal of Sensors 2022 (March 11, 2022): 1–9. http://dx.doi.org/10.1155/2022/4827021.

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The construction of human resource management system is a key part of enterprise management and control. A perfect human resource management system is conducive to the long-term development of enterprises. Aiming at improving the current situation of enterprise human resource management, a distributed human resource management system is proposed in this paper based on Spark framework. Aiming at the disadvantages of traditional k -means algorithm in processing massive data, such as low computational efficiency and high time complexity, an improved k -means algorithm based on Spark computing fra

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Kazakova, N. A., and V. G. Kogdenko. "Monitoring the sustainable Development of the Electronic Industry." Finance: Theory and Practice 27, no. 6 (2023): 185–98. http://dx.doi.org/10.26794/2587-5671-2023-27-6-185-198.

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The subject of the study is the Russian electronic industry as a strategically important sector that ensures national security and cybersecurity in all areas of activity. The relevance of the study is due to insufficient efficiency and consistency of the results of the existing monitoring of the development of the electronics industry, which is related to the lack of comprehensive information and analytical tools for diagnosis of indicators of sustainable development of industry. The purpose of the study is to develop a flexible situational approach to monitoring the electronics industry, taki

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Ageeva, E. V., R. A. Latypov, E. P. Novikov, and B. N. Sabel’nikov. "Study of Electric Spark Coatings Properties Obtained by Electrodes from Titanium Electroerosive Particles." Proceedings of the Southwest State University 23, no. 6 (2020): 21–33. http://dx.doi.org/10.21869/2223-1560-2019-23-6-21-33.

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Purpose of reseach. Modern car is a very complex system which has about 15... 20 thousand parts. More than 7 thousand lose their initial characteristics during operational process. As practice shows, more than 4000 car parts lose their operability much earlier than the expiration of vehicle life as a whole. These factors lead to significant repair costs, as well as profit losses caused by long delays in part of the rolling stock. Efficiency and qualitative improvement growth of various areas of public production pose new and more complex tasks to increase the efficiency and reliability of part

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Shridhar Bhalekar. "Distributed Systems and Big Data Analytics in Predictive Healthcare: Transforming Modern Medicine." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 2264–83. https://doi.org/10.32628/cseit25112713.

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The healthcare industry is undergoing a revolutionary transformation driven by the integration of distributed systems and big data analytics. This technological convergence enables real-time decision-making, advanced predictive capabilities, and personalized treatment plans as healthcare data grows exponentially. Traditional processing methods can no longer handle the scale and complexity of data from electronic health records, wearable devices, genomic sequencing, and medical imaging. Distributed computing frameworks like Apache Hadoop, Apache Spark, and cloud-based architectures provide the

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Senin, Petr V., Dmitriy A. Galin, and Leonid O. Krush. "Using Diagnostics to Research the Operational Reliability of Electronic Engine Control Systems of Skoda Car." Engineering Technologies and Systems 32, no. 2 (2022): 235–48. http://dx.doi.org/10.15507/2658-4123.032.202202.235-248.

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Introduction. Some physical processes active in the electronic engine control systems lead to wear and tear of the system elements. Experience in operating and diagnosing vehicles at the service station has shown that there is the operation of vehicles with failures, many of which subsequently lead to malfunctions of different complexities. The purpose of the study is to apply diagnostics for determining the operational reliability and assessing the technical condition of electronic engine control systems. Materials and Methods. A batch of cars was selected to assess the operational reliabilit

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Zhao, Yao, Jian Dong, Hongwei Liu, Jin Wu, and Yanxin Liu. "Performance Improvement of DAG-Aware Task Scheduling Algorithms with Efficient Cache Management in Spark." Electronics 10, no. 16 (2021): 1874. http://dx.doi.org/10.3390/electronics10161874.

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Directed acyclic graph (DAG)-aware task scheduling algorithms have been studied extensively in recent years, and these algorithms have achieved significant performance improvements in data-parallel analytic platforms. However, current DAG-aware task scheduling algorithms, among which HEFT and GRAPHENE are notable, pay little attention to the cache management policy, which plays a vital role in in-memory data-parallel systems such as Spark. Cache management policies that are designed for Spark exhibit poor performance in DAG-aware task-scheduling algorithms, which leads to cache misses and perf

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Samaan, Sama Salam, and Hassan Awheed Jeiad. "Architecting a machine learning pipeline for online traffic classification in software defined networking using spark." IAES International Journal of Artificial Intelligence (IJ-AI) 12, no. 2 (2023): 861. http://dx.doi.org/10.11591/ijai.v12.i2.pp861-873.

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Precise traffic classification is essential to numerous network functionalities such as routing, network management, and resource allocation. Traditional classification techniques became insufficient due to the massive growth of network traffic that requires high computational costs. The arising model of software defined networking (SDN) has adjusted the network architecture to get a centralized controller that preserves a global view over the entire network. This paper proposes a model for SDN traffic classification based on machine learning (ML) using the Spark framework. The proposed model

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Ghazi, Mohd Rehan, and N. S. Raghava. "A Scalable and Stacked Ensemble Approach to Improve Intrusion Detection in Clouds." Information Technology and Control 52, no. 4 (2023): 898–914. http://dx.doi.org/10.5755/j01.itc.52.4.32042.

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The availability of automated data collection techniques and the growth in the amount of data collected from cloud network traffic and cloud resource activities has transformed into a big data challenge, compelling the engagement of big data tools to handle, manage, and interpret it. A single classification method may fail to execute successfully for the amount of acquired data. Despite being more complex and consuming more computational resources, the research shows that stacking-based ensemble Machine Learning (ML) methodologies perform better in data classification approaches than single cl

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Al-Quraishi, Tahsien, Naseer Al-Quraishi, Hussein AlNabulsi, Hussein AL-Qarishey, and Ahmed Hussein Ali. "Big Data Predictive Analytics for Personalized Medicine: Perspectives and Challenges." Applied Data Science and Analysis 2024 (April 11, 2024): 32–38. http://dx.doi.org/10.58496/adsa/2024/004.

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The integration of predictive analytics into personalized medicine has become a promising approach for improving patient outcomes and treatment efficacy. This paper provides a review of the field, examining the tools, methodologies, and challenges associated with this advanced statistical methodology. Predictive analytics leverages machine learning algorithms to analyze vast datasets, including Electronic Health Records (EHRs), genomic data, medical imaging, and real-time data from wearable devices. The review explores key tools such as the Hadoop Distributed File System (HDFS), Apache Spark,

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Samaan, Sama Salam, and Hassan Awheed Jeiad. "Feature-based real-time distributed denial of service detection in SDN using machine learning and Spark." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2302–12. http://dx.doi.org/10.11591/beei.v12i4.4711.

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Recently, software defined networking (SDN) has been deployed extensively in diverse practical domains, providing a new direction in network management by separating the control plane from the data plane. Nevertheless, SDN is vulnerable to distributed denial of service (DDoS) attacks resulting from its centralized controller. Several studies have been suggested to address the DDoS attacks in SDN utilizing machine learning approaches. However, these approaches are resource-intensive and cause performance degradation since they cannot perform effectively in large-scale SDN networks that generate

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Samaan, Sama Salam, and Hassan Awheed Jeiad. "Feature-based real-time distributed denial of service detection in SDN using machine learning and Spark." Bulletin of Electrical Engineering and Informatics 12, no. 4 (2023): 2302–12. http://dx.doi.org/10.11591/eei.v12i4.4711.

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Recently, software defined networking (SDN) has been deployed extensively in diverse practical domains, providing a new direction in network management by separating the control plane from the data plane. Nevertheless, SDN is vulnerable to distributed denial of service (DDoS) attacks resulting from its centralized controller. Several studies have been suggested to address the DDoS attacks in SDN utilizing machine learning approaches. However, these approaches are resource-intensive and cause performance degradation since they cannot perform effectively in large-scale SDN networks that generate

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Bagui, Sikha S., Dustin Mink, Subhash C. Bagui, et al. "Introducing the UWF-ZeekDataFall22 Dataset to Classify Attack Tactics from Zeek Conn Logs Using Spark’s Machine Learning in a Big Data Framework." Electronics 12, no. 24 (2023): 5039. http://dx.doi.org/10.3390/electronics12245039.

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This study introduces UWF-ZeekDataFall22, a newly created dataset labeled using the MITRE ATT&CK framework. Although the focus of this research is on classifying the never-before classified resource development tactic, the reconnaissance and discovery tactics were also classified. The results were also compared to a similarly created dataset, UWF-ZeekData22, created in 2022. Both of these datasets, UWF-ZeekDataFall22 and UWF-ZeekData22, created using Zeek Conn logs, were stored in a Big Data Framework, Hadoop. For machine learning classification, Apache Spark was used in the Big Data Frame

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Liu, Shuren, Bo Shen, Wenzhao Li, Zimeng Yin, and Qingqi Liu. "Spare parts scheme for electronic equipment system with limited resources." Journal of Physics: Conference Series 2569, no. 1 (2023): 012054. http://dx.doi.org/10.1088/1742-6596/2569/1/012054.

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Abstract With the increase of the number of modern equipment, the expansion of equipment scale, and the requirements of actual combat equipment for long-term standby duty, the role and significance of spare parts support scheme in the life cycle of equipment system gradually become prominent. Taking the electronic equipment system as the research object, this paper analyzes the relative changes between the spare utilization rate and the spare fill rate under different system composition scales. It introduces the strategy of using faulty parts as spare parts after maintenance under the conditio

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Sahal, Radhya, Saeed H. Alsamhi, John G. Breslin, and Muhammad Intizar Ali. "Industry 4.0 towards Forestry 4.0: Fire Detection Use Case." Sensors 21, no. 3 (2021): 694. http://dx.doi.org/10.3390/s21030694.

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Forestry 4.0 is inspired by the Industry 4.0 concept, which plays a vital role in the next industrial generation revolution. It is ushering in a new era for efficient and sustainable forest management. Environmental sustainability and climate change are related challenges to promote sustainable forest management of natural resources. Internet of Forest Things (IoFT) is an emerging technology that helps manage forest sustainability and protect forest from hazards via distributing smart devices for gathering data stream during monitoring and detecting fire. Stream processing is a well-known rese

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Yang, Wenquan, Nana Sun, and Jiayi Tang. "Research on Production Process Quality Control Based on Multi-Stage Decision-Making Model." Highlights in Business, Economics and Management 48 (March 3, 2025): 112–22. https://doi.org/10.54097/m5p45p25.

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This paper addresses the decision-making problem in quality control for the production of electronic products. Initially, a mathematical model is developed based on the defective rate of spare parts provided by the supplier, using hypothesis testing and Bayesian-based sequential testing. This model calculates the minimum number of sampling inspections required at different confidence levels, providing an efficient inspection scheme for enterprises. In the second part, a cost-benefit model is proposed to optimize decisions such as whether to test spare parts and finished products, and whether t

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von Gries, Nadja, and Stefan Bringezu. "Using New Spare Parts for Repair of Waste Electrical and Electronic Equipment? The Material Footprint of Individual Components." Resources 11, no. 2 (2022): 24. http://dx.doi.org/10.3390/resources11020024.

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The growing production of waste electrical and electronic equipment (WEEE) requires close loop management to protect the environment and save resources. Repair and reuse can extend the product’s life span. However, debates on the differences seen in resource consumption linked to the different ways of repairing devices have received a limited amount of attention. This article demonstrates quantification of the resource consumption (cradle-to-gate) of five types of appliances on a component level based on life-cycle assessment within the framework of the product-material-footprint. The data for

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Munagandla, Vamshi Bharath, Sandeep Pochu, Sai Rama Krishna Nersu, and Srikanth Reddy Kathram. "Real-Time Data Integration for Emergency Response in Healthcare Systems." Journal of AI-Powered Medical Innovations (International online ISSN 3078-1930) 3, no. 1 (2024): 25–38. https://doi.org/10.60087/japmi.vol.03.issue.01.id.002.

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The demand for swift and efficient emergency response in healthcare has intensified with the rise of global health crises and increasingly complex healthcare systems. Real-time data integration plays a crucial role in enabling healthcare providers to respond effectively to emergencies by providing a comprehensive, updated view of patient data, resource availability, and situational developments. This paper explores a real-time data integration framework designed specifically for emergency response within healthcare systems, focusing on how integrated data can enhance decision-making, resource

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Yeh, Ying‐Pin. "Identification of factors affecting continuity of cooperative electronic supply chain relationships: empirical case of the Taiwanese motor industry." Supply Chain Management: An International Journal 10, no. 4 (2005): 327–35. http://dx.doi.org/10.1108/13598540510612802.

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PurposeTo explore the factors affecting continuity of cooperative electronic supply chain relationships in Taiwanese motor industry.Design/methodology/approachThis study has developed a research framework that integrates the three perspectives of resource dependence, risk perception, and relationship marketing to identify the factors affecting the continuity of a cooperative electronic supply chain. After constructing a structural equation model, empirical testing on 851 raw material and spare parts suppliers for the Taiwanese motor industry was conducted.FindingsAll path coefficients in the p

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Dr.A.Shaji, George, and Dr.T.Baskar. "Repairing the Future: The Global Fight for Accessible Fixes and Sustainable Tech." Partners Universal Innovative Research Publication (PUIRP) 02, no. 02 (2024): 71–88. https://doi.org/10.5281/zenodo.10953185.

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Electronic waste (e-waste) increases exponentially in tandem with the proliferation of electronic devices on a global scale, with enormous environmental and health repercussions. A maximum of fifty million metric tons of electronic waste were produced in 2021. Hazardous chemicals leach into soil and groundwater through unregulated disposal, endangering vulnerable waste workers. Nonetheless, these alarming patterns obscure nuances in the contexts of various nations. The historical and cultural significance of repair and reuse in India is conspicuous through the presence of cobblers and sari rep

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Arnold, Mona, Elina Pohjalainen, Sören Steger, Wolfgang Kaerger, and Jan-Henk Welink. "Economic Viability of Extracting High Value Metals from End of Life Vehicles." Sustainability 13, no. 4 (2021): 1902. http://dx.doi.org/10.3390/su13041902.

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Electronics containing growing quantities of high value and critical metals are increasingly used in automobiles. The conventional treatment practice for end-of-life vehicles (ELV) is shredding after de-pollution and partial separation of spare parts. Despite opportunities for resource recovery, the selective separation of components containing relevant amounts of critical metals for the purpose of material recycling is not commonly implemented. This article is aimed to contribute to recycling strategies for future critical metal quantities and the role of extended material recovery from ELVs.

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Haroon Ur Rashid, Fatma Hussain, and Khalid Masood. "Big Data and Precision Medicine." Lahore Garrison University Research Journal of Computer Science and Information Technology 2, no. 1 (2018): 1–8. http://dx.doi.org/10.54692/lgurjcsit.2018.020140.

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This paper focuses on clinical data taken from diversified sources that can be utilized to predict medical conditions. Precision medicine being top priority in medication is main essence to describe treatment based on individual physiology, genetic makeup and other factors. Healthcare information is available from clinics, government hospitals and electronic medical records along with advanced digital resources such as glucometers, insulin injectors, blood pressure monitors, and smart watches. Social media is an excellent source where people share their medical treatment status on Facebook, Tw

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Kogdenko, V. G. "Accounting and Analytical Support of Public Procurement in the Electronics Industry in the Digitalization." Accounting. Analysis. Auditing 8, no. 2 (2021): 48–61. http://dx.doi.org/10.26794/2408-9303-2021-8-2-48-61.

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The article deals with the problems of accounting and analytical support of public procurement in the electronics industry; one of the objectives of the study is to substantiate the criteria for assessing suppliers' reputation; evaluations of persons filing procurement complaints; procurement monitoring indicators. In the process of research, the author used such general scientific principles and methods as abstraction, generalization, as well as statistical methods of data processing. As a result, there has been developed a methodology for assessing the suppliers' reputation including three s

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Fan, Yu-Cheng, Chih-Kang Lin, Shih-Ying Chou, Chun-Hung Wang, Shu-Hsien Wu, and Hung-Kuan Liu. "Engineering Change Orders Design Using Multiple Variables Linear Programming for VLSI Design." VLSI Design 2014 (August 24, 2014): 1–5. http://dx.doi.org/10.1155/2014/698041.

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An engineering change orders design using multiple variable linear programming for VLSI design is presented in this paper. This approach addresses the main issues of resource between spare cells and target cells. We adopt linear programming technique to plan and balance the spare cells and target cells to meet the new specification according to logic transformation. The proposed method solves the related problem of resource for ECO problems and provides a well solution. The scheme shows new concept to manage the spare cells to meet possible target cells for ECO research.

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Karsi, Redouane, Mounia Zaim, and Jamila El Alami. "Assessing naive Bayes and support vector machine performance in sentiment classification on a big data platform." IAES International Journal of Artificial Intelligence (IJ-AI) 10, no. 4 (2021): 990. http://dx.doi.org/10.11591/ijai.v10.i4.pp990-996.

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<p><span lang="EN-US">Nowadays, mining user reviews becomes a very useful mean for decision making in several areas. Traditionally, machine learning algorithms have been widely and effectively used to analyze user’s opinions on a limited volume of data. In the case of massive data, powerful hardware resources (CPU, memory, and storage) are essential for dealing with the whole data processing phases including, collection, pre-processing, and learning in an optimal time. Several big data technologies have emerged to efficiently process massive data, like Apache Spark, which is a dist

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Khudyakov, O. Yu, and I. H. Perepelytsia. "PROBLEM OF OPTIMAL SELECTION OF INFORMATION RESOURCES FOR THE INTERNATIONAL PATENT SEARCH OF METALLURGICAL MATTERS." Library Mercury, no. 2(30) (December 29, 2023): 125–57. http://dx.doi.org/10.18524/2707-3335.2023.2(30).291813.

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The continuous digitization of patent information sources and the emergence of new world leaders in metallurgical science and production necessitate the correction of traditional approaches to international patent searches, which are carried out by specialists of science & technology libraries for users-inventors. The authors have compiled an exhaustive register of existing national and international electronic patent databases (EPDB), which includes 49 titles and covers the patent offices of countries, whose joint share in steel production, as of 2022, reaches 99% of the world total. Thus

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Fan, Xuliang, Jinliang Liu, and Xinming Lv. "Research on the electromagnetic fields radiating during the operation of intense electron-beam accelerator." Laser and Particle Beams 31, no. 1 (2013): 149–54. http://dx.doi.org/10.1017/s0263034612001012.

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AbstractStrong electromagnetic fields are radiated during the operation of the intense electron-beam accelerator (IEBA), and it is investigated in this paper. It is obtained that the triggered spark-gap switch and the main switch of the IEBA are the radiation resources. Here, the radiation of the triggered spark-gap switch is researched carefully. Firstly, circuit simulation is used to simulate the current going through the switch. The electric fields generated by the current and its frequency spectra are both calculated. The electric fields of the IEBA are measured by using a bi-cone antenna.

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Radoš, Katarina, та Ivan Radoš. "Availability Analysis of Diﬀerent PON Models". Journal of Telecommunications and Information Technology 4 (20 грудня 2017): 47–53. http://dx.doi.org/10.26636/jtit.2017.116517.

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Due to the increasing demands of individual users, Passive Optical Networks (PON) are a promising technology for future broadband access networks. Reliable access to network services is a very important feature, so the availability of the connection is becoming one of the most important requirements. Failure of the optical ﬁber occurring between the Optical Line Terminal (OLT) and the passive optical splitter can cause the services becoming unavailable for a large number of users, so it is necessary to prevent such an occurrence by providing backup resources – in this case a spare optical ﬁber

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Denisov, Alexander Sergeevich, Alexey Anatolyevich Simakin, Anton Olegovich Nosov, and Alexey Yurievich Kondaurov. "THE METHOD OF SELECTING THE TUNING OPTION OF THE ENGINE LUBRICATION SYSTEM." SCIENTIFIC LIFE 18, no. 1 (2023): 85–96. http://dx.doi.org/10.35679/1991-9476-2023-18-1-85-96.

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Improving the reliability of automotive engines is an important problem for the country's economy. Engine failures, due to wear, cause significant consumption of spare parts, complicate the operation of machines. The cost of overhaul of automotive engines is 70-80% of their cost, and the secondary resource is 30-40%. Over the entire service life of automotive engines, 5-6 times more money is spent on ensuring their operability than on manufacturing. Therefore, increasing the resource of automotive engines by improving lubrication processes is an urgent problem. One of the effective methods of

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Sokolov, B. V., A. N. Mironov, and O. L. Shestopalova. "Managing the Mechatronic Systems Obsolescence Based on Monitoring of Resource Fault Tolerance." Mekhatronika, Avtomatizatsiya, Upravlenie 25, no. 12 (2024): 624–32. https://doi.org/10.17587/mau.25.624-632.

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The article discusses the features of the manifestation of advanced obsolescence of electronic components of mechatronic systems in comparison with the physical aging of their electromechanical and mechanical modules. The relevance of managing the obsolescence of mechatronic systems has been revealed through early planning and implementation of measures to ensure that the product is ready for target use throughout its specified service life. It is proposed to implement obsolescence management by justifying the supply routes of replaceable components in conditions of obsolescence of products, a

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Markiewicz, Marietta. "Analysis of Performance Parameters of Engines with Spark Ignition with Variable Regulations of the Fuel-Injection System, Powered by E100 Fuel." Energies 17, no. 3 (2024): 601. http://dx.doi.org/10.3390/en17030601.

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Emission limits imposed on gas-powered vehicles, which have gradually been introduced by the European Commission, as well as the exhaustibility of the planet’s natural resources involve the need to search for alternative solutions and restore renewable fuel markets. In terms of ecology, using biofuels for powering spark-ignition engines has a positive impact on the natural environment. This kind of fuel, however, has a negative effect on the drive unit performance parameters, such as power and torque. This study presents test results of performance parameters of a spark-ignition engine fueled

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Elder, Kimberly G., Emily K. Frederick, Sarah Raake, and Benjamin C. Stephens. "Faculty Doing More with Less: A Technology Initiative Realized Through a Structured Process." INNOVATIONS in pharmacy 13, no. 2 (2022): 8. http://dx.doi.org/10.24926/iip.v13i2.4469.

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Introduction: Many barriers exist when implementing new educational technologies. Some institutions without specialty support staff or offices may struggle with the necessary steps. In a climate that increasingly asks faculty to do more with less, empowering faculty-driven processes may prove important. Innovation: When the need for an academic electronic health record (EHR) was identified, a faculty champion followed a structured approach to research available options, garner faculty interest, bring forth a proposal to the administration, implement the academic EHR technology, and perform con

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Farah, Wahaj, and Vinay M. "Smart Grid - New Age Electrical Technology." Journal of Control System and its Recent Developments 4, no. 3 (2022): 1–8. https://doi.org/10.5281/zenodo.6122198.

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<em>A smart grid is an electrical system with a number of operational and energy-saving features, such as: Infrastructure for advanced metering (of which smart metres are a generic name for any utility side device even if it is more capable e.g. a fibre optic router). Home control and demand response are integrated into smart distribution boards and circuit breakers (behind the metre from a utility perspective). Smart appliances and load control switches are frequently financed by efficiency improvements in municipal initiatives (e.g. PACE financing). Renewable energy resources, such as the ab

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Sorbello, Alfred, Syed Arefinul Haque, Rashedul Hasan, et al. "Artificial Intelligence–Enabled Software Prototype to Inform Opioid Pharmacovigilance From Electronic Health Records: Development and Usability Study." JMIR AI 2 (July 18, 2023): e45000. http://dx.doi.org/10.2196/45000.

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Background The use of patient health and treatment information captured in structured and unstructured formats in computerized electronic health record (EHR) repositories could potentially augment the detection of safety signals for drug products regulated by the US Food and Drug Administration (FDA). Natural language processing and other artificial intelligence (AI) techniques provide novel methodologies that could be leveraged to extract clinically useful information from EHR resources. Objective Our aim is to develop a novel AI-enabled software prototype to identify adverse drug event (ADE)

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Posch, Stefan, Clemens Gößnitzer, Andreas B. Ofner, Gerhard Pirker, and Andreas Wimmer. "Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a Variational Autoencoder." Energies 15, no. 7 (2022): 2325. http://dx.doi.org/10.3390/en15072325.

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A deeper understanding of the physical nature of cycle-to-cycle variations (CCV) in internal combustion engines (ICE) as well as reliable simulation strategies to predict these CCV are indispensable for the development of modern highly efficient combustion engines. Since the combustion process in ICE strongly depends on the turbulent flow field in the cylinder and, for spark-ignited engines, especially around the spark plug, the prediction of CCV using computational fluid dynamics (CFD) is limited to the modeling of turbulent flows. One possible way to determine CCV is by applying large eddy s

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Shamsutdinova, T. M. "Digital Footprint as a Source of Big Data in Education." Open Education 28, no. 6 (2024): 13–21. https://doi.org/10.21686/10.21686/1818-4243-2024-6-13-21.

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The purpose of this study is to consider the prospects and problems of using big data in education.Materials and methods. The research methods include analysis, systematization and structuring of information in the field of big data application in education, as well as modeling and software implementation of a test model for processing big data by using the Apache Spark framework.Results. The article considers the key aspects of using big data in education. In particular, the sources of big data in the form of a digital footprint of learning, methods of analysis and areas of application of big

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Bandhu, Din, B. Pravallika, Abhishek Kaushik, Surovi Paul, Hanaa Addai Ali, and Vishal Sharma. "Revolutionizing Material Science: Exploring the Novel Applications of Thermally-Enhanced Processes in Next-Generation Materials." E3S Web of Conferences 430 (2023): 01140. http://dx.doi.org/10.1051/e3sconf/202343001140.

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With the emergence of novel thermally accelerated methods, the area of material science has undergone a paradigm shift, opening up previously unimaginable possibilities for the creation of next-generation materials with improved properties and functionalities. In order to shape the materials of the future, this paper explores the ground-breaking uses of thermally accelerated techniques such quick thermal annealing, spark plasma sintering, and laser-assisted deposition. Due to sluggish diffusion rates and incomplete reactions, traditional materials synthesis and processing processes frequently

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Elçin oğlu Mirzəyev, Elvin. "The importance of energy reserves of the Azerbaijan Republic and the turkish states in the condition of globalization." NATURE AND SCIENCE 22, no. 7 (2022): 95–99. http://dx.doi.org/10.36719/2707-1146/22/95-99.

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Təqdim olunan məqalə işi qloballaşma dövründə enerji resurslarının həcmi və Türk dövlətlərinin enerji ehtiyatlarının vəziyyətini təsvir etmişdir. Məqalə işində Azərbaycanın enerji ehtiyatları ardıcıl və düzgün şəkildə təhlil edilmiş, bu sahədə nəzəri və praktiki məsələlər nəzərə alınmaqla araşdırılmışdır. Həmçinin enerji ehtiyatlarının iqtisаdi inkişаf üçün mаhiyyəti аydın şəkildə şərh edilmişdir. Tədqiqаtın məqsədi enerji ehtiyatlarının səmərəliliyini müəyyən etmək, qloballaşma şərаitində enerji ehtiyatlarını öyrənmək və mаkrоiqtisаdi məqsədlərə çаtmаqdа enerji resurslarının təsir gücündən is

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De Oliveira, Elias Martins, Maicon Maciel Ferreira De Araújo, and Mauro Guilherme Ferreira Bezerra. "Construction and analysis of a mini Tesla coil as an educational support elemento." Brazilian Journal of Development 10, no. 2 (2024): e67007. http://dx.doi.org/10.34117/bjdv10n2-005.

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This article presents an assembly manual for a Tesla coil prototype using low-cost materials, developed to meet the needs of public education in Brazil. Public education in Brazil faces significant challenges, including a lack of structural and teaching resources. This makes it difficult to teach complex subjects such as Physics, which require experimental resources to understand the concepts. The Tesla coil prototype is built from low-cost materials such as acrylic, PVC, copper and electronic components. The coil has a base with 26 concentric circles, which allows vertical mobility. For quali

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Hanafi, Imron, Aida Vitayala S. Hubeis, and Sapta Raharja. "Strategi Peningkatan Daya Saing Produk Suku Cadang Otomotif dan Elektonik Berbahan Karet di PT BesQ Sarana Abadi." MANAJEMEN IKM: Jurnal Manajemen Pengembangan Industri Kecil Menengah 13, no. 2 (2019): 167. http://dx.doi.org/10.29244/mikm.13.2.167-174.

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In order to spur the automotive and electronic industries to meet domestic needs and compete in the era of globalization, the development of manufacturing industries is not only based on large-scale industries, but also needs to be developed into Small and Medium Enterprises (SMEs). The obstacles faced today are limited capital, human resources (HR), product development and marketing procedures. PT BesQ Sarana Abadi is a small and medium business (UKM) engaged in the business of making rubber parts. In order to improve competitiveness, PT BesQ Sarana Abadi is researched with the formulation of

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Beshley, Mykola, Olena Hordiichuk-Bublivska, Halyna Beshley, and Iryna Ivanochko. "Data Optimization for Industrial IoT-Based Recommendation Systems." Electronics 12, no. 1 (2022): 33. http://dx.doi.org/10.3390/electronics12010033.

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The most common problems that arise when working with big data for intelligent production are analyzed in the article. The work of recommendation systems for finding the most relevant user information was considered. The features of the singular-value decomposition (SVD) and Funk SVD algorithms for reducing the dimensionality of data and providing quick recommendations were determined. An improvement of the Funk SVD algorithm using a smaller required amount of user data for analysis was proposed. According to the results of the experiments, the proposed modification improves the speed of data

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Melani, Arthur Henrique de Andrade, Miguel Angelo de Carvalho Michalski, Carlos Alberto Murad, Adherbal Caminada Netto, and Gilberto Francisco Martha de Souza. "Generalized Stochastic Petri Nets for Planning and Optimizing Maintenance Logistics of Small Hydroelectric Power Plants." Energies 15, no. 8 (2022): 2742. http://dx.doi.org/10.3390/en15082742.

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Maintenance plays a crucial role in the availability of an asset. In particular, when a company’s assets are decentralized, logistical aspects directly impact maintenance management and, consequently, productivity. In the energy generation sector, this scenario is common in enterprises and projects in which distributed energy resources (DERs), such as small hydroelectric power plants (SHPPs), are considered. Hence, the objective of this work is to propose an application of generalized stochastic Petri nets (GSPN) for the planning and optimization of the maintenance logistics of a DER enterpris

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Hussein Ali, Ahmed, Royida A. Ibrahem Alhayali, Mostafa Abdulghafoor Mohammed, and Tole Sutikno. "An effective classification approach for big data with parallel generalized Hebbian algorithm." Bulletin of Electrical Engineering and Informatics 10, no. 6 (2021): 3393–402. http://dx.doi.org/10.11591/eei.v10i6.3135.

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Advancements in information technology is contributing to the excessive rate of big data generation recently. Big data refers to datasets that are huge in volume and consumes much time and space to process and transmit using the available resources. Big data also covers data with unstructured and structured formats. Many agencies are currently subscribing to research on big data analytics owing to the failure of the existing data processing techniques to handle the rate at which big data is generated. This paper presents an efficient classification and reduction technique for big data based on

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Lompoliu, Erienika Meiling. "CREB1T: A Gamification of Double Entry Accounting System Based on Android Application." CogITo Smart Journal 6, no. 1 (2020): 107. http://dx.doi.org/10.31154/cogito.v6i1.235.107-116.

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All is altered by technology. Every aspect of our lives is now, in one way or another, heavily dependent on or seamlessly improved by technology. Different technology media, channels and resources, especially in the higher education, have greatly affected the method of pedagogy in recent years. First was computer-based learning, which has replaced most of the traditional way in reading, learning and test taking. This include the use of electronic books, videos and the computer-based exams. On the other hand, gamification has been able to enhance students' understanding of learning. From the us

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Kriaučiūnas, Donatas, Tadas Žvirblis, Kristina Kilikevičienė, et al. "Impact of Simulated Biogas Compositions (CH4 and CO2) on Vibration, Sound Pressure and Performance of a Spark Ignition Engine." Energies 14, no. 21 (2021): 7037. http://dx.doi.org/10.3390/en14217037.

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Biogas has increasingly been used as an alternative to fossil fuels in the world due to a number of factors, including the availability of raw materials, extensive resources, relatively cheap production and sufficient energy efficiency in internal combustion engines. Tightening environmental and renewable energy requirements create excellent prospects for biogas (BG) as a fuel. A study was conducted on a 1.6-L spark ignition (SI) engine (HR16DE), testing simulated biogas with different methane and carbon dioxide contents (100CH4, 80CH4_20CO2, 60CH4_40CO2, and 50CH4_50CO2) as fuel. The rate of

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Coelho, Jorge, and Luís Nogueira. "Enabling Processing Power Scalability with Internet of Things (IoT) Clusters." Electronics 11, no. 1 (2021): 81. http://dx.doi.org/10.3390/electronics11010081.

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Internet of things (IoT) devices play a crucial role in the design of state-of-the-art infrastructures, with an increasing demand to support more complex services and applications. However, IoT devices are known for having limited computational capacities. Traditional approaches used to offload applications to the cloud to ease the burden on end-user devices, at the expense of a greater latency and increased network traffic. Our goal is to optimize the use of IoT devices, particularly those being underutilized. In this paper, we propose a pragmatic solution, built upon the Erlang programming l

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YALYNA, O. "DIAGNOSTICS AND TECHNOLOGICAL MAINTENANCE OF AGRICULTURAL MACHINES USED IN AGRICULTURAL COMPLEX." HERALD OF KHMELNYTSKYI NATIONAL UNIVERSITY 295, no. 2 (2021): 123–26. http://dx.doi.org/10.31891/2307-5732-2021-295-2-123-126.

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The article considers the current state of the system of maintenance and repair of agricultural machinery, shows the analysis of the existing system and its impact on the economic efficiency of production in the agro-industrial complex. The current state of instrumentation, electronics and computer technology can significantly increase and expand the possibilities of both diagnosing and forecasting based on it. The combination of these capabilities with the progress of agricultural machinery ensures its reliable, highly productive and economical operation. It is established that of great impor

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Bridges, R., D. Smedley, M. Hall, and J. Powell. "C-66 Limited Access to Pediatric Neuropsychological Evaluations for Non-English Speakers." Archives of Clinical Neuropsychology 34, no. 6 (2019): 1095. http://dx.doi.org/10.1093/arclin/acz034.228.

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Abstract Objective The aim of this empirical study was to examine the accessibility of pediatric neuropsychological evaluations in the state of Arizona for non-English speaking children. To date, there is very limited research that analyzes the accessibility of neuropsychological evaluations. Diversity variables, such as primary language, can negatively impact assessment scores (Norbury & Sparks, 2013), leaving diverse individuals at risk of misdiagnosis when an assessment is not conducted in one’s primary language, nor normed on similar individuals (Mindt et al., 2008). The Center for Imm

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Chen, Hao, Erik Dahlquist, and Konstantinos Kyprianidis. "Retrofitting Biomass Combined Heat and Power Plant for Biofuel Production—A Detailed Techno-Economic Analysis." Energies 17, no. 2 (2024): 522. http://dx.doi.org/10.3390/en17020522.

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Existing combined heat and power plants usually operate on part-load conditions during low heating demand seasons. Similarly, there are boilers designated for winter use that remain inactive for much of the year. This brings a concern about the inefficiency of resource utilization. Retrofitting existing CHP plants (especially for those with spare boilers) for biofuel production could increase revenue and enhance resource efficiency. This study introduces a novel approach that combines biomass gasification and pyrolysis in a polygeneration process that is based on utilizing existing CHP facilit

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Rasmusson, Jenna, Nancy Wengenack, and Priya Sampathkumar. "Implementing Admission Screening for Candida auris." Infection Control & Hospital Epidemiology 41, S1 (2020): s281. http://dx.doi.org/10.1017/ice.2020.852.

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Background:Candida auris is a globally emerging, multidrug-resistant fungal pathogen that causes serious, difficult-to-treat infections in hospitalized patients. C. auris cases in the United States have been linked to receipt of healthcare overseas. Outbreaks have also occurred in New York City, New Jersey, Chicago, and most recently in California. We provide care to patients from all 50 states and 138 countries; therefore, we are at risk for encountering C. auris in our facility. Setting: An academic, tertiary-care center with 1,297 licensed beds and >62,000 admissions each year. Methods:

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