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Journal articles on the topic 'Automatic Help Generation Systems'

Author: Grafiati

Published: 8 September 2021

Last updated: 29 July 2025

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1

TABOADA, M. "ON-LINE AUTOMATIC HELP GENERATION SYSTEMS." Cybernetics and Systems 27, no. 3 (1996): 303–15. http://dx.doi.org/10.1080/019697296126570.

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Panchal, Parth, Janak Thakkar, Veerapathiramoorthy Pillai, and Shweta Patil. "Automatic Question Generation and Evaluation." Journal of University of Shanghai for Science and Technology 23, no. 05 (2021): 751–61. http://dx.doi.org/10.51201/jusst/21/05203.

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Generation of questions from an extract is a very tedious task for humans and an even tougher one for machines. In Automatic Question Generation (AQG), it is extremely important to examine the ways in which this can be achieved with sufficient levels of accuracy and efficiency. The way in which this can be taken ahead is by using Natural Language Processing (NLP) to process the input and to work with it for AQG. Using NLP with question generation algorithms the system can generate the questions for a better understanding of the text document. The input is pre-processed before actually moving i

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HUANG, YAN, and LIANZHEN HE. "Automatic generation of short answer questions for reading comprehension assessment." Natural Language Engineering 22, no. 3 (2016): 457–89. http://dx.doi.org/10.1017/s1351324915000455.

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AbstractWriting items for reading comprehension assessment is time-consuming. Automating part of the process can help test-designers to develop assessments more efficiently and consistently. This paper presents an approach to automatically generating short answer questions for reading comprehension assessment. Our major contribution is to introduce Lexical Functional Grammar (LFG) as the linguistic framework for question generation, which enables systematic utilization of semantic and syntactic information. The approach can efficiently generate questions of better quality than previous high-pe

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Hodhod, Rania, Marc Huet, and Mark Riedl. "Toward Generating 3D Games with the Help of Commonsense Knowledge and the Crowd." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 10, no. 3 (2021): 21–27. http://dx.doi.org/10.1609/aiide.v10i3.12741.

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Procedural game generation is the automatic creation of all aspects of a playable computer game. Procedural game generation systems require specialized knowledge, virtual worlds, and art assets. In this paper, we show how 3D graphical scenes for interactive fictions can be automatically generated with only knowledge that is readily available in existing knowledge bases or can be acquired via crowdsourcing. The key to 3D scene generation is commonly accepted spatial relationships between different types of objects in different types of scenes. We use a crowdsourcing game to automatically and ra

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Kim, Juntae, Yoonseok Heo, Hogeon Yu, and Jongho Nang. "A Multi-Modal Story Generation Framework with AI-Driven Storyline Guidance." Electronics 12, no. 6 (2023): 1289. http://dx.doi.org/10.3390/electronics12061289.

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An automatic story generation system continuously generates stories with a natural plot. The major challenge of automatic story generation is to maintain coherence between consecutive generated stories without the need for human intervention. To address this, we propose a novel multi-modal story generation framework that includes automated storyline decision-making capabilities. Our framework consists of three independent models: a transformer encoder-based storyline guidance model, which predicts a storyline using a multiple-choice question-answering problem; a transformer decoder-based story

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Kotsenko, Anton, Anastasiia Bazanova, Radmir Kim, et al. "Automated search for several alternative logical inferences in a mivar knowledge base." E3S Web of Conferences 515 (2024): 03017. http://dx.doi.org/10.1051/e3sconf/202451503017.

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This paper describes an approach to the automatic generation of a mivar knowledge base of a three-dimensional logic space. This knowledge base is created to provide three-dimensional robot movement. Automatic generation of mivar knowledge bases is necessary for the further solution of the problem of planning three-dimensional routes of robots and robotic complexes. This work is the basis for solving problems of resource allocation optimization in the field of transport logistics and machine learning artificial intelligence based on the application of mivar technologies. The variant of practica

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Les, Tomasz, Tomasz Markiewicz, Miroslaw Dziekiewicz, and Malgorzata Lorent. "Kidney Boundary Detection Algorithm Based on Extended Maxima Transformations for Computed Tomography Diagnosis." Applied Sciences 10, no. 21 (2020): 7512. http://dx.doi.org/10.3390/app10217512.

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This article describes the automated computed tomography (CT) image processing technique supporting kidney detection. The main goal of the study is a fully automatic generation of a kidney boundary for each slice in the set of slices obtained in the computed tomography examination. This work describes three main tasks in the process of automatic kidney identification: the initial location of the kidneys using the U-Net convolutional neural network, the generation of an accurate kidney boundary using extended maxima transformation, and the application of the slice scanning algorithm supporting

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Wilch, Jan, Juliane Fischer, Nikolai Langer, Markus Felger, Matthias Bengel, and Birgit Vogel-Heuser. "Towards automatic generation of functionality semantics to improve PLC software modularization." at - Automatisierungstechnik 70, no. 2 (2022): 181–91. http://dx.doi.org/10.1515/auto-2021-0138.

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Abstract Functions of automated Production Systems (aPS) can be realized by control software (SW), whose high quality and short development time are, therefore, vital. To achieve both, SW should be modular and, thereby, reusable. Static code analysis can help improve the modularization of existing software, e. g., by automatically analyzing control and information flow. However, manual code reviews are still typically required because planning a SW’s modularization requires a semantic understanding of its functionality. This paper presents an approach to, instead, identify SW functionality aut

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Park, Hyogyeong, Sungjung Yong, Yeonhwi You, Seoyoung Lee, and Il-Young Moon. "Automatic Movie Tag Generation System for Improving the Recommendation System." Applied Sciences 12, no. 21 (2022): 10777. http://dx.doi.org/10.3390/app122110777.

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As the content industry develops, the demand for movie content is increasing. Accordingly, the content industry is actively developing super-personalized recommendation systems that match consumers’ tastes. In this paper, we study automatic generation of movie tags to improve the movie recommendation system. We extracted background sounds from movie trailer videos, analyzed the sounds using STFT (Short-Time Fourier transform) and major audio attribute features, and created a genre prediction model. The experimental results show that the pre-collected dataset and the data extracted via the mode

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Kornegay, Kevin T., and Robert W. Brodersen. "Integrated Test Solutions for a System Design Environment." VLSI Design 1, no. 4 (1994): 345–57. http://dx.doi.org/10.1155/1994/39791.

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While the performance, density, and complexity of application-specific systems increase at a rapid pace, equivalent advances are not being made in making them more easily testable, diagnosable, and maintainable. Even though testability bus standards, like JTAG Boundary Scan, have been developed to help eliminate these costs, there exists a need for efficient hardware and software tools to support them. Hence, a testability design and hardware support environment for application-specific systems is described which provides a designer with a set of hardware modules and circuitry, that support th

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Satriyo, P., I. S. Nasution, and S. F’Alia. "IoT-enable smart agriculture using multiple sensors for sprinkle irrigation systems." IOP Conference Series: Earth and Environmental Science 1290, no. 1 (2024): 012027. http://dx.doi.org/10.1088/1755-1315/1290/1/012027.

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Abstract The Internet of Things (IoT) has experienced considerable expansion and development in recent years, offering a multitude of prospects for technological progress in the agricultural sector, with the aim of improving efficiency and providing help to farmers on a global scale. This paper outlines the conceptualization and development of an smart sprinkle irrigation system that incorporates the Internet of Things (IoT) technology, leveraging the ESP32 platform. The aim of this study is to develop a smart irrigation-based internet of things utilizing multiple sensors for sprinkle irrigati

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Pratomo, Ligan Budi, and Nazaruddin Sinaga. "TINJAUAN SINGKAT OPTIMALISASI PEMANFAATAN ENERGI SURYA PADA SEKTOR RUMAH TANGGA." Jurnal Mineral, Energi, dan Lingkungan 6, no. 2 (2023): 1. http://dx.doi.org/10.31315/jmel.v6i2.4777.

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Energy use always increases, especially fossil energy. Through the National Energy Policy, the government continues to strive to increase the role of new and renewable energy sources so as to reduce dependence on fossil energy. Solar power generation is a type of renewable energy generator that capable to convert solar energy to electric energy. The main components of solar power generatios are batteries, solar panels, charger controllers, and inverters. Solar power generations technology itself is always being developed, such as automatic monitoring and sun tracking systems designed to improv

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Tran, Tuan Anh, Jarunee Duangsuwan, and Wiphada Wettayaprasit. "Automatic Aspect-Based Sentiment Summarization for Visual, Structured, and Textual Summaries." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 1 (2021): 50–72. http://dx.doi.org/10.37936/ecti-cit.2021151.237565.

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Online reviews are valuable sources of information to help companies to make good decisions for business intelligence. In this study, we propose an Automatic Aspect-based Sentiment Summarization (AAbSS) system that has two components and can generate a summary as an output. The first component is the Aspect-based Knowledge Representation and Selection (AKRS) used to represent reviews based on aspects and their polarities for selecting aspect-based knowledge. To represent and selection knowledge, a set of frequency of polarity opinion strength, a summation of frequency of aspect, and an informa

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Gong, Heng, Xiaocheng Feng, and Bing Qin. "DiffuD2T: Empowering Data-to-Text Generation with Diffusion." Electronics 12, no. 9 (2023): 2136. http://dx.doi.org/10.3390/electronics12092136.

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Surrounded by structured data, such as medical data, financial data, knowledge bases, etc., data-to-text generation has become an important natural language processing task that can help people better understand the meaning of those data by providing them with user-friendly text. Existing methods for data-to-text generation show promising results in tackling two major challenges: content planning and surface realization, which transform structured data into fluent text. However, they lack an iterative refinement process for generating text, which can enable the model to perfect the text step-b

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Weiss, S. M., and C. V. Apte. "Automated generation of model cases for help-desk applications." IBM Systems Journal 41, no. 3 (2002): 421–27. http://dx.doi.org/10.1147/sj.413.0421.

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Song, Ling-Yen, Yu-Kang Lou, Ching-Ho Lin, et al. "Efficient Circuit Structure Analysis for Automatic Behavioral Model Generation in Mixed-Signal System Simulation." Electronics 10, no. 9 (2021): 1088. http://dx.doi.org/10.3390/electronics10091088.

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For mixed-signal systems, identifying the analog and digital circuit blocks in the transistor-level netlist has many benefits for system analysis and verification. However, existing approaches still have difficulty handling large mixed-signal designs with millions of transistors, especially when multiple analog structure patterns are included. In this paper, we propose an efficient structure recognition methodology to support analyzing highly complex designs with various circuit structures and different devices. In order to tackle the complexity of real cases, a hierarchical partition-based an

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Zhang, Chuanwei, Rui Zhou, Lei Lei, and Xinyue Yang. "Research on Automatic Parking System Strategy." World Electric Vehicle Journal 12, no. 4 (2021): 200. http://dx.doi.org/10.3390/wevj12040200.

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The development of the automobile industry and the increase in car ownership has brought great traffic pressures to the city, among which, the difficulty of parking has become a serious problem to the majority of drivers. An automatic parking system can help drivers to complete parking operation or automatic parking task, and a decision control system is an important part of automatic parking system. In this paper, a strategy for generating the shortest parking path based on a bidirectional breadth-first search algorithm combined with a modified Bellman–Ford algorithm is proposed for automatic

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Marques, Mario Monteiro, Victor Lobo, A. Pedro Aguiar, et al. "An Unmanned Aircraft System for Maritime Operations: The Automatic Detection Subsystem." Marine Technology Society Journal 55, no. 1 (2021): 38–49. http://dx.doi.org/10.4031/mtsj.55.1.4.

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AbstractThis paper addresses the development of an integrated system to support maritime situation awareness based on unmanned aerial vehicles (UAVs), emphasizing the role of the automatic detection subsystem. One of the main topics of research in the SEAGULL project was the automatic detection of sea vessels from sensors onboard the UAV, to help human operators in the generation of situational awareness of maritime events such as (a) detection and geo-referencing of oil spills or hazardous and noxious substances, (b) tracking systems (e.g., vessels, shipwrecks, lifeboats, debris), (c) recogni

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Lan, Rushi, Jing Wang, Wenming Huang, et al. "Chinese Emotional Dialogue Response Generation via Reinforcement Learning." ACM Transactions on Internet Technology 21, no. 4 (2021): 1–17. http://dx.doi.org/10.1145/3446390.

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In an open-domain dialogue system, recognition and expression of emotions are the key factors for success. Most of the existing research related to Chinese dialogue systems aims at improving the quality of content but ignores the expression of human emotions. In this article, we propose a Chinese emotional dialogue response generation algorithm based on reinforcement learning that can generate responses not only according to content but also according to emotion. In the proposed method, a multi-emotion classification model is first used to add emotion labels to the corpus of post-response pair

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Mishra, Prakhar, Chaitali Diwan, Srinath Srinivasa, and G. Srinivasaraghavan. "Automatic Title Generation for Learning Resources and Pathways with Pre-trained Transformer Models." International Journal of Semantic Computing 15, no. 04 (2021): 487–510. http://dx.doi.org/10.1142/s1793351x21400134.

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To create curiosity and interest for a topic in online learning is a challenging task. A good preview that outlines the contents of a learning pathway could help learners know the topic and get interested in it. Towards this end, we propose a hierarchical title generation approach to generate semantically relevant titles for the learning resources in a learning pathway and a title for the pathway itself. Our approach to Automatic Title Generation for a given text is based on pre-trained Transformer Language Model GPT-2. A pool of candidate titles are generated and an appropriate title is selec

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Golinelli, Davide, Andrea Giovanni Nuzzolese, Francesco Sanmarchi, et al. "Semi-Automatic Systematic Literature Reviews and Information Extraction of COVID-19 Scientific Evidence: Description and Preliminary Results of the COKE Project." Information 13, no. 3 (2022): 117. http://dx.doi.org/10.3390/info13030117.

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The COVID-19 pandemic highlighted the importance of validated and updated scientific information to help policy makers, healthcare professionals, and the public. The speed in disseminating reliable information and the subsequent guidelines and policy implementation are also essential to save as many lives as possible. Trustworthy guidelines should be based on a systematic evidence review which uses reproducible analytical methods to collect secondary data and analyse them. However, the guidelines’ drafting process is time consuming and requires a great deal of resources. This paper aims to hig

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Yan, Songyang, Xiaodong Zhang, Kunkun Hao, et al. "On-Demand Scenario Generation for Testing Automated Driving Systems." Proceedings of the ACM on Software Engineering 2, FSE (2025): 86–105. https://doi.org/10.1145/3715722.

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The safety and reliability of Automated Driving Systems (ADS) are paramount, necessitating rigorous testing methodologies to uncover potential failures before deployment. Traditional testing approaches often prioritize either natural scenario sampling or safety-critical scenario generation, resulting in overly simplistic or unrealistic hazardous tests. In practice, the demand for natural scenarios (e.g., when evaluating the ADS's reliability in real-world conditions), critical scenarios (e.g., when evaluating safety in critical situations), or somewhere in between (e.g., when testing the ADS i

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Álvarez, Rafael, Cesar Gregorio Muñoz, Jaime Marti, et al. "Application of integrated artificial intelligence systems (IAIs) for the identification and study of prognostic and predictive variables of patients with localized rectal cancer treated at HM hospitals." Journal of Clinical Oncology 40, no. 16_suppl (2022): e13569-e13569. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e13569.

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e13569 Background: The generation of databases in oncology is a necessity when evaluating the data generated in medical activity. Moreover, this is a long process that generates significant expenditure not only in dedicated hours but also in the possibility of errors. On the other hand, having tools that help us in the interpretation and management of clinical images in different clinical scenario can also help in routine clinical practice. The objective has been the use of Integrated Artificial Intelligence Systems (IAIs) for, first, automatic dataset generation from unstructured clinical inf

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Potiyenko, S. V., and A. V. Kolchin. "Generation of multipurpose formal models from legacy code." PROBLEMS IN PROGRAMMING, no. 3-4 (December 2022): 42–50. http://dx.doi.org/10.15407/pp2022.03-04.042.

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In this paper a method for generation of formal models from legacy systems code is proposed. The purpose of these models is to have a possibility of their application in different tasks such as automatic generation of executable tests, translation to modern programming languages, reverse engineering. The method pursues goals to decrease complexity of state space search and checking formulas satisfiability in relation to the direct code modeling, and to help legacy systems understanding and implementing in modern technologies. We focused on formalization of Cobol memory model as it is the most

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Novelli, Luca, Michele Vianello, Hong Weimin, Lucia Bonadonna, and Tiziana Forte. "New Developments in Real-Time Kinematic Water Quality Monitoring of Lakes and River Basins." International Journal of Social Ecology and Sustainable Development 1, no. 3 (2010): 49–72. http://dx.doi.org/10.4018/jsesd.2010070105.

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The kinematic approach to water monitoring of rivers and lakes was by Archimedes Logica under the EU initiatives (LIFE1996) for the monitoring of the Lagoon of Venice. These systems were limited to the measurement of typical basic parameters: pH, Eh, salinity, turbidity, dissolved oxygen, electrical conductivity, temperature and immersion depth. However, this earlier system was unable to help against pollution from hydrocarbons. In this paper, the authors present a new kinematic monitoring system named AQUARIUS, which integrates a new generation of automatic chemical and biological analyzers.

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Rakesh, Kumar, and Ranjan Rakesh. "Electricity load forecasting in smart grid using web based geographic information systems (web GIS)." i-manager’s Journal on Future Engineering and Technology 17, no. 4 (2022): 25. http://dx.doi.org/10.26634/jfet.17.4.18971.

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India is a developing nation and due to emerging new infrastructure in various sectors, the demand of electricity is always higher than generation. Smart Grid is an automated system which includes automation of existing electrical infrastructure into modern and controlled system with the help of IT control, Internet of Things (IoT) systems that enables real-time monitoring and control of bi-directional power flows and information flows from generation to consumption. Electricity demand is a major issue in India and with the help of these technologies the demand of electricity can be managed in

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Kiani, Rasoul, and Victor S. Sheng. "Automated Repair of Smart Contract Vulnerabilities: A Systematic Literature Review." Electronics 13, no. 19 (2024): 3942. http://dx.doi.org/10.3390/electronics13193942.

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The substantial value held by smart contracts (SCs) makes them an enticing target for malicious attacks. The process of fixing vulnerabilities in SCs is intricate, primarily due to the immutability of blockchain technology. This research paper introduces a systematic literature review (SLR) that evaluates rectification systems designed to patch vulnerabilities in SCs. Following the guidelines set forth by the PRISMA statement, this SLR meticulously reviews a total of 31 papers. In this context, we classify recently published SC automated repair frameworks based on their methodologies for autom

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Wilson, R. Eddie. "Mechanisms for spatio-temporal pattern formation in highway traffic models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1872 (2008): 2017–32. http://dx.doi.org/10.1098/rsta.2008.0018.

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A key qualitative requirement for highway traffic models is the ability to replicate a type of traffic jam popularly referred to as a phantom jam , shock wave or stop-and-go wave . Despite over 50 years of modelling, the precise mechanisms for the generation and propagation of stop-and-go waves and the associated spatio-temporal patterns are in dispute. However, the increasing availability of empirical datasets, such as those collected from motorway incident detection and automatic signalling system (MIDAS) inductance loops in the UK or the next-generation simulation trajectory data (NGSIM) pr

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Parvez, Iram, Jianjian Shen, Ishitaq Hassan, and Nannan Zhang. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant." Energies 14, no. 2 (2021): 298. http://dx.doi.org/10.3390/en14020298.

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The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedules of cascaded hydropower plants. The objective of the current study is to find a speedy and practical method for predicting and classifying the future schedules of hydropower plants in order to increase the overall efficiency of energy by utilizing the water of cascaded hydropower plants. This study is significant for water resource planners in t

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Parvez, Iram, Jianjian Shen, Ishitaq Hassan, and Nannan Zhang. "Generation of Hydro Energy by Using Data Mining Algorithm for Cascaded Hydropower Plant." Energies 14, no. 2 (2021): 298. http://dx.doi.org/10.3390/en14020298.

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The thirst of the Earth for energy is lurching towards catastrophe in an era of increasing water shortage where most of the power plants are hydroelectric. The hydro-based power systems are facing challenges in determining day-ahead generation schedules of cascaded hydropower plants. The objective of the current study is to find a speedy and practical method for predicting and classifying the future schedules of hydropower plants in order to increase the overall efficiency of energy by utilizing the water of cascaded hydropower plants. This study is significant for water resource planners in t

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31

Benedetti, Lorenzo, Pau Prat, Ingmar Nopens, et al. "A new rule generation method to develop a decision support system for integrated management at river basin scale." Water Science and Technology 60, no. 8 (2009): 2035–40. http://dx.doi.org/10.2166/wst.2009.522.

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The Besòs River Basin authority is working towards the implementation of integrated river basin management, as required by the Water Framework Directive (WFD), to achieve a good ecological and chemical status of all water bodies by 2015. The studied system is constituted by two communities (La Garriga and Granollers), their corresponding draining catchments, sewer systems and two WWTPs, which discharge treated water at different locations of the same river. Within this context, the realisation of an integrated model of the river stretch and of the two WWTPs with their sewer systems and drainin

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Le Weng, Le Weng, Chao Feng Le Weng, Zhi-Yuan Shi Chao Feng, Ying-Min Zhang Zhi-Yuan Shi, and Lian-Fen Huang Ying-Min Zhang. "FASSFuzzer—An Automated Vulnerability Detection System for Android System Services." 電腦學刊 33, no. 2 (2022): 189–200. http://dx.doi.org/10.53106/199115992022043302017.

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<p>As the core component of Android framework, Android system services provide a large number of basic and core function services for Android system. It has a lot of resources and very high system permissions. And for the Android system, it is a very important attack surface. Attackers can use Android system service vulnerabilities to steal user privacy, cause Android applications or Android system denial of service, remote malicious code execution and other malicious behaviors, which will seriously affect the security of Android users. Based on fuzzy testing technology, this paper desig

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Le Weng, Le Weng, Chao Feng Le Weng, Zhi-Yuan Shi Chao Feng, Ying-Min Zhang Zhi-Yuan Shi, and Lian-Fen Huang Ying-Min Zhang. "FASSFuzzer—An Automated Vulnerability Detection System for Android System Services." 電腦學刊 33, no. 2 (2022): 189–200. http://dx.doi.org/10.53106/199115992022043302017.

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<p>As the core component of Android framework, Android system services provide a large number of basic and core function services for Android system. It has a lot of resources and very high system permissions. And for the Android system, it is a very important attack surface. Attackers can use Android system service vulnerabilities to steal user privacy, cause Android applications or Android system denial of service, remote malicious code execution and other malicious behaviors, which will seriously affect the security of Android users. Based on fuzzy testing technology, this paper desig

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Liao, Hongyi. "5G technology to help the development of smart grids: A review." Applied and Computational Engineering 6, no. 1 (2023): 572–79. http://dx.doi.org/10.54254/2755-2721/6/20230863.

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The continuous advancement of technology has led to an increase in electricity consumption by residential, industrial, commercial, and other users in all aspects, and the demand for electricity quality is also increasing. In such a context, the smart grid is regarded as a new generation of power systems. The smart grid uses advanced communication and information processing, remote automatic control, and other technologies to achieve precise control of fault removal, three-dimensional monitoring of the system and optimal dispatch of electrical energy; while ensuring that the reliability of the

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Salisbury, Elliot, Ece Kamar, and Meredith Morris. "Toward Scalable Social Alt Text: Conversational Crowdsourcing as a Tool for Refining Vision-to-Language Technology for the Blind." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 5 (September 21, 2017): 147–56. http://dx.doi.org/10.1609/hcomp.v5i1.13301.

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The access of visually impaired users to imagery in social media is constrained by the availability of suitable alt text. It is unknown how imperfections in emerging tools for automatic caption generation may help or hinder blind users' understanding of social media posts with embedded imagery. In this paper, we study how crowdsourcing can be used both for evaluating the value provided by existing automated approaches and for enabling workflows that provide scalable and useful alt text to blind users. Using real-time crowdsourcing, we designed experiences that varied the depth of interaction o

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Maestre, María Miró, Marta Vicente, Elena Lloret, and Armando Suárez Cueto. "Extracting Narrative Patterns in Different Textual Genres: A Multilevel Feature Discourse Analysis." Information 14, no. 1 (2022): 28. http://dx.doi.org/10.3390/info14010028.

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We present a data-driven approach to discover and extract patterns in textual genres with the aim of identifying whether there is an interesting variation of linguistic features among different narrative genres depending on their respective communicative purposes. We want to achieve this goal by performing a multilevel discourse analysis according to (1) the type of feature studied (shallow, syntactic, semantic, and discourse-related); (2) the texts at a document level; and (3) the textual genres of news, reviews, and children’s tales. To accomplish this, several corpora from the three textual

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Mudge, T. N., J. L. Turney, and R. A. Volz. "Automatic generation of salient features for the recognition of partially occluded parts." Robotica 5, no. 2 (1987): 117–27. http://dx.doi.org/10.1017/s0263574700015083.

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SUMMARYA method for solving the recognition of partially occluded parts is presented. It is based on the automatic generation of features from a set of primitive features which are configurations of pairs of fixed length segments of boundary edges of the parts. The procedure that creates the recognition features assigns a number in the range (0,1) that indicates the importance of the feature in the recognition strategy. This number is referred to as the feature's saliency. The method assumes that the parts that can occur in a scene come from a known set of parts. An example illustrates how aut

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Cohen, Yuval. "A technique for integrated modelling of manual and automatic assembly." Journal of Manufacturing Technology Management 26, no. 2 (2015): 164–81. http://dx.doi.org/10.1108/jmtm-11-2013-0157.

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Purpose – The purpose of this paper is to describe a comprehensive modelling technique that supports the assembly of very complex products that require intensive use of both computerized worker guidance and automation. The modelling enables the planning of this complex process. Design/methodology/approach – The proposed approach utilizes and extends typical product documentation (such as route cards and bill of materials (BOM)) to form hierarchical Petri net in a stepwise process. The suggested framework models the dynamic progress of the assembly process, and can generate route card instructi

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Bhoyar, Ankit D. "Evolution and Characteristics of Bag-Valve-Mask Ventilation During Pandemic: A Review of the Literature." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 25–29. http://dx.doi.org/10.22214/ijraset.2021.36227.

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Mass casualty incidents such as those that are being experienced during the novel coronavirus disease (COVID-19) pandemic can overwhelm local healthcare systems, where the number of casualties exceeds local resources and capabilities in a short period of time. The introduction of patients with worsening lung function as a result of COVID-19 has strained traditional ventilator supplies. To bridge the gap during ventilator shortages and to help clinicians triage patients, manual resuscitator devices can be used to deliver respirations to a patient requiring breathing support. For patients who re

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Sertakova, Oksana V., and Yevgeniy V. Kustov. "Digitalization of quality control of medical care in public medical organizations." Market economy problems, no. 3 (2024): 57–70. https://doi.org/10.33051/2500-2325-2024-3-57-70.

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The article presents data from a survey of employees of state medical organizations in the Moscow region. These data show that, in general, health care workers are aware of the availability and functionality of modern health information systems. It is proposed to use medical information systems for the purpose of digitalization and automation of the process of internal and departmental quality control of medical care in state medical organizations of the Moscow region. A schematic diagram has been developed for the digitization of control processes according to quality criteria, which are name

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Abou El-Seoud, Samir, Hosam El-Sofany, and Islam Taj-Eddin. "Mobile Applications and Semantic-Web – A case study on Automated Course Management." International Journal of Interactive Mobile Technologies (iJIM) 10, no. 3 (2016): 42. http://dx.doi.org/10.3991/ijim.v10i3.5770.

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<p class="Abstract">Different types of e-assessment systems that are recognized at universities and based on the campus wireless have been developed. These systems help the students to use their Mobile Phones as learning media to access the information more easily from anywhere and at any time. Seppala and Alamaki developed a mobile learning project for teacher training. Their study compared the effectiveness of internet, face-to-face and mobile based instructions. Al Masri has proposed a study to compare the effective strategy in paper-based assessment with mobile-based assessment for a

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Kim, Jin-Gyeom, and Bowon Lee. "Automatic P2P Energy Trading Model Based on Reinforcement Learning Using Long Short-Term Delayed Reward." Energies 13, no. 20 (2020): 5359. http://dx.doi.org/10.3390/en13205359.

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Automatic peer-to-peer energy trading can be defined as a Markov decision process and designed using deep reinforcement learning. We consider prosumer as an entity that consumes and produces electric energy with an energy storage system, and define the prosumer’s objective as maximizing the profit through participation in peer-to-peer energy trading, similar to that of the agents in stock trading. In this paper, we propose an automatic peer-to-peer energy trading model by adopting a deep Q-network-based automatic trading algorithm originally designed for stock trading. Unlike in stock trading,

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I. J., Sreelakshmy, and Binsu C. Kovoor. "A Hybrid Inpainting Model Combining Diffusion and Enhanced Exemplar Methods." Journal of Data and Information Quality 13, no. 3 (2021): 1–19. http://dx.doi.org/10.1145/3418035.

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Image inpainting is a technique in the world of image editing where missing portions of the image are estimated and filled with the help of available or external information. In the proposed model, a novel hybrid inpainting algorithm is implemented, which adds the benefits of a diffusion-based inpainting method to an enhanced exemplar algorithm. The structure part of the image is dealt with a diffusion-based method, followed by applying an adaptive patch size–based exemplar inpainting. Due to its hybrid nature, the proposed model exceeds the quality of output obtained by applying conventional

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Hinov, Nikolay. "Smart Energy Systems Based on Next-Generation Power Electronic Devices." Technologies 12, no. 6 (2024): 78. http://dx.doi.org/10.3390/technologies12060078.

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Power electronics plays a key role in the management and conversion of electrical energy in a variety of applications, including the use of renewable energy sources such as solar, wind and hydrogen energy, as well as in electric vehicles, industrial technologies, homes and smart grids. These technologies are essential for the successful implementation of the green transition, as they help reduce carbon emissions and promote the production and consumption of cleaner and more sustainable energy. The present work presents a new generation of power electronic devices and systems, which includes th

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Akram, Md Washim, Muhammad Firdaus Mohd Zublie, Md Hasanuzzaman, and Nasrudin Abd Rahim. "Global Prospects, Advance Technologies and Policies of Energy-Saving and Sustainable Building Systems: A Review." Sustainability 14, no. 3 (2022): 1316. http://dx.doi.org/10.3390/su14031316.

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Automation, modernization, economic development and global progress depends on efficient extraction and utilization of energy. Power generation by burning fossil fuels makes various adverse impacts on the environment. Additionally, the worldwide fossil fuel reserve is limited and depleting very fast. Hence, efficient energy usage and savings are crucial to address the environmental issues to ensure sustainable development. Buildings, both commercial and residential, represent a major energy consumption sector. Approximately 40% of the total energy is reportedly consumed in the building sector.

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Korving, Frank, and Risto Vaarandi. "DACA: Automated Attack Scenarios and Dataset Generation." International Conference on Cyber Warfare and Security 18, no. 1 (2023): 550–59. http://dx.doi.org/10.34190/iccws.18.1.962.

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Computer networks and systems are under an ever-increasing risk of being attacked and abused. High-quality datasets can assist with in-depth analysis of attack scenarios, improve detection rules, and help educate analysts. However, existing solutions for creating such datasets suffer from a number of drawbacks. First, several solutions are not open source with publicly released implementations or are not vendor neutral. Second, some existing solutions neglect the complexity and variance of specific attack techniques when creating datasets or neglect certain attack types. Third, existing soluti

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Saputra, Muhardi, and Rafa Fadlila Fadlila. "An Effective Open ERP System for Automation in Financial Reporting for SMEs based on Service Oriented Architecture." JOIV : International Journal on Informatics Visualization 7, no. 3-2 (2023): 2007. http://dx.doi.org/10.30630/joiv.7.3-2.2367.

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Small-Medium Enterprises (SMEs) are currently in high demand and highly developed in many countries. However, several SMEs still do not yet have an information system to support their business processes. This causes the absence of a system that helps integrate data from each process and sector in SMEs. All data exchanges and transaction report generation are done manually and recorded using physical documents that reduce effectiveness and increase costs. This research uses the accounting module in Open ERP or Odoo Version 11.0 software and Service Oriented Architecture (SOA) methods to design

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Kamluk, A. N., A. O. Likhomanov, and E. G. Govor. "Dependence of the volume stability on the expansion rate of low-expansion foam." Proceedings of the National Academy of Sciences of Belarus. Physical-technical series 69, no. 3 (2024): 194–205. http://dx.doi.org/10.29235/1561-8358-2024-69-3-194-205.

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In this work, we analyzed and summarized the results of experimental studies of the characteristics of air-mechanical foam generated on the deflector type sprinklers and in the foam generating devices with mesh using three brands of general purpose foam concentrates, one brand of special purpose foam concentrate and one brand of foam concentrate used to extinguish fires as a wetting agent. As a result of the analysis, a linear dependence of the volume stability on the expansion rate of the foam was established, and the influence of physical characteristics (wetting ability, surface tension and

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Munshi, Amr Abdullah, Wesam Hasan AlSabban, Abdullah Tarek Farag, Omar Essam Rakha, Ahmad Al Sallab, and Majid Alotaibi. "Automated Islamic Jurisprudential Legal Opinions Generation Using Artificial Intelligence." Pertanika Journal of Science and Technology 30, no. 2 (2022): 1135–56. http://dx.doi.org/10.47836/pjst.30.2.16.

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Islam is the second-largest and fastest-growing religion. The Islamic Law, Sharia, represents a profound component of the day-to-day lives of Muslims. While sources of Sharia are available for anyone, it often requires a highly qualified person, the Mufti, to provide Fatwa. With Islam followers representing almost 25% of the planet earth population, generating many queries, and the sophistication of the Mufti qualification process, creating a shortage in them, we have a supply-demand problem, calling for Automation solutions. This scenario motivates the application of Artificial Intelligence (

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Basit, Abdul, Tanvir Ahmad, Asfand Yar Ali, Kaleem Ullah, Gussan Mufti, and Anca Daniela Hansen. "Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power." Energies 12, no. 9 (2019): 1710. http://dx.doi.org/10.3390/en12091710.

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Increasing large-scale integration of renewables in conventional power system has led to an increase in reserve power requirement owing to the forecasting error. Innovative operating strategies are required for maintaining balance between load and generation in real time, while keeping the reserve power requirement at its minimum. This research work proposes a control strategy for active power balance control without compromising power system security, emphasizing the integration of wind power and flexible load in automatic generation control. Simulations were performed in DIgSILENT for foreca

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