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Recognition Textual Entailment on Bahasa Using Biplet Individual Comparison and BiLSTM 8

Recognition Textual Entailment on Bahasa Using Biplet Indivi...

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8th IEEE International conference on software engineering and computer systems, ICSECS 2023

作者： Suwija Putra, I Made Siahaan, Daniel Saikhu, Ahmad Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia

ISBN: (纸本)9798350310931

Recognizing Textual Entailment (RTE) is one of the important tasks in Natural Language Processing (NLP). Various approaches have been taken, starting from a simple statistical framework to the neural network (NN) that is currently the mainstay, including RTE in Bahasa Indonesia. Currently, RTE in Bahasa Indonesia has started using the neural network approach, but the value of the resulting accuracy is still less than 77%. this is because the new NN architecture has just accommodated the lexical elements and not yet the syntactical elements of sentences. Syntactical elements in sentences are important components in obtaining the local information contained therein. In RTE, local information is useful for determining how closely related text fragments are. this study proposes a new approach to NN-based Bahasa Indonesia RTE using the Biplet (head-dependency) individual comparison technique. Biplet is generated from the process of word pair dependency. the concept of word pair dependency is used to improve alignment and inference assessment that is optimized by adjusting the weight of the phrase using an attention mechanism. From experiments conducted using the SNLI dataset that has been translated into Bahasa Indonesia (SNLI Indo), it was obtained that the highest training accuracy value is 83.56% with the validation accuracy value is 64.61% for the number of pairs of sentences of 100k. © 2023 IEEE.

关键词： Natural language processing systems

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Pathway to Coherent Phase Acquisition in Multi-Channel USRP SDRs for Direction of Arrival Estimation 10

Pathway to Coherent Phase Acquisition in Multi-Channel USRP ...

引用

10th International conference on software Defined systems, SDS 2023

作者： Xhafa, Alda Fabra, Fran López-Salcedo, José A. Seco-Granados, Gonzalo Lapin, Ivan Dept. of Telecommunication and Systems Engineering Barcelona Spain European Space Agency Radio Frequency Systems Division ESTEC Noordwijk Netherlands

ISBN: (纸本)9798350382235

this paper sheds lights onto the challenging problem of achieving coherent phase reception between the RF channels of existing multi-channel software-defined radios (SDR). this is a key problem that must be solved, for instance, in applications dealing with 5G positioning and integrated sensing and communications (ISAC) when direction of arrival estimation is needed. Despite being a fundamental problem, it is far from being straightforward to implement in practice with existing SDR devices. In this regard, the present paper provides a set of golden guidelines in order to succeed in this endeavor, and thus to leverage the full potential that multi-channel SDR devices have to offer. Apart from phase coherence, practical recommendations are provided as well to achieve the highest possible data throughput between the SDR and the controlling computer. Finally, a comparison among the most relevant features of different models of Universal software Radio Peripheral (USRP) SDR devices is discussed, including an analysis of their performance in terms of phase differences between RF channels. © 2023 IEEE.

关键词： Direction of arrival

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Dynamic Stability of Large-Scale Photovoltaic Based Generation Integration into Power systems 5

Dynamic Stability of Large-Scale Photovoltaic Based Generati...

引用

5th International conference on Power engineering and Renewable Energy, ICPERE 2022

作者： Tayyab, Muhammad A. Muljadi, Eduard Auburn University Dept. of Elec. and Computer Engineering AuburnAL United States

ISBN: (纸本)9781665455480

the recent drought trends and decrease in hydropower generation are alarming to the point where we must plan for an alternate power source to utilize the available transmission line capacity. Interconnection of solar Photo-Voltaic (PV) as a viable electric power supply has been substantially increasing in recent years, making it the most compelling alternate power source to compensate for the loss of hydropower. this paper aims to discuss the dynamic stability of a power system when a large-scale PV-based generation is interconnected to the power system to counteract an increase in load and compensate for drought-impacted hydro generation. For demonstration, a real-world power system is used for this study with permission from Western Electricity Coordinating Council (WECC). the system is simulated for five scenarios, (I) an existing power system, (II) a system with a 500 MW increase in system load and 500 MW additional PV generation, (III)-(V) a system with 500 MW, 720 MW, and 1440 MW PV generation interconnection to compensate for different levels of decrease in the hydro generation to test different PV penetration levels. the system is simulated with GE PSLF software for various contingencies, and dynamic stability results are reported with fictitious bus names without any Critical Electricity Infrastructure Information (CEIl). © 2022 IEEE.

关键词： Drought

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Agent Based Modelling and Simulation of computer Control systems for Steel Ingot Furnaces 23

Agent Based Modelling and Simulation of Computer Control Sys...

引用

7th International conference on computer Science and Application engineering, CSAE 2023

作者： Somo, Gabriel Noko Daniyan, Ilesanmi Afolabi Swanepoel, Jan Industrial Engineering Tshwane University of Technology Pretoria0001 South Africa Mechanical and Mechatronics Engineering Achievers University Owo Nigeria

ISBN: (纸本)9798400700590

To automate a manufacturing system for improved efficiency and quality of its output, a Programmable Logic Controller (PLC) with Internet of things (IoT) need to be employed. At Company X, the furnaces employed for steel processing are not connected to PLC-IoT system, thus making the system less effective. this study employs the agent based modelling and simulation for the investigation of the performance of the PLC-IoT system using both quantitative analysis and a simulation model developed from the Anylogic software. A program placed in a computer control system at 20 °C was used to control the levels of the heat in the furnaces that are responsible for further processing of steel pipes. the results obtained indicated that manually operated furnaces run for approximately 5-8 hours while the ones automated with PLC-IoT system run for approximately 3-6 hours respectively. thus, the integration of PLC-IoT system into the manufacturing system can result in considerable time effectiveness. © 2023 ACM.

关键词： Internet of things

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Towards the Implementation of Traffic engineering in SDN: A Practical Approach 1

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7th International conference on Inventive systems and Control, ICISC 2023

作者： Prabu, U. Geetha, V. Department of Computer Science and Engineering Pondicherry Engineering College Puducherry India Department of Information Technology Pondicherry Engineering College Puducherry India

ISBN: (数字)9789819916245

ISBN: (纸本)9789819916238

the advancement of software-defined networks (SDNs) plays a major role in the next generation of networks. It has laid its root in the cloud, data center, and the Internet of things. SDN separates the data and control plane. through this, it provides greater flexibility, cost-effective configuration, and improved functioning of advanced design of networks. Traffic engineering (TE) is one of the major strengths of software-defined networks. Its main goal is to manage the flows in the network, update topologies, analyze the traffic, and be fault tolerant. Apart from that, it performs load balancing, congestion control, traffic rerouting, and updating policies. this article is intended to provide a detailed description of the types of TE techniques, formulation of TE problems, different ways to implement TE in SDN, and different topologies to be considered for the performance evaluation of the algorithms. the overview of the above-mentioned things might be beneficial for beginners and future researchers to have a clear understanding and go ahead with the implementation of TE in SDN. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Topology

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Analysis of the 5Rs in thailand Medication Error Classification through Natural Language Processing 20

Analysis of the 5Rs in Thailand Medication Error Classificat...

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20th International Joint conference on computer Science and software engineering, JCSSE 2023

作者： Udomnuchaisup, Peachyasitt Imsombut, Aurawan Suwannahitatorn, Picha Saethang, thammakorn Kasetsart University Biomedical Data Science Master's Program Faculty of Science Bangkok Thailand Kasetsart University Faculty of Science Department of Computer Science Bangkok Thailand Bangkok Thailand

ISBN: (纸本)9798350300505

Medication errors threaten patient safety considerably, underscoring the necessity for enhanced detection and prevention techniques. A prevalent classification system in hospitals relies on the standard practice of medication administration known as the Five Rights (5R). this study seeks to develop an NLP-based tool designed to expand 5R error categorization coverage and alleviate the workload of medical professionals. the proposed method focuses on thai medical text, incorporating thai and English vocabulary. In this investigation, we developed a supervised learning classification framework using the Universal Sentence Encoder (USE) for sentence embedding, followed by an Artificial Neural Network (ANN) for model training. Additionally, we explored a zero-shot classification model employing pre-trained Large Language Models (PLMs). Our findings reveal that the supervised learning classification model provides the most favorable performance, albeit with the limitation of reliance on labeled datasets, which can be resource intensive. Conversely, the zero-shot classification framework's performance is less optimal. However, future advancements in thai medical PLMs may improve efficacy and present a viable alternative for medical data analysis without dependence on labeled datasets. this initiative lays the groundwork for potential future applications and advantages within thailand's medical domain. © 2023 IEEE.

关键词： Neural networks

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A Comparative Analysis of Different CNN Architectures for Malware Classification 4

A Comparative Analysis of Different CNN Architectures for Ma...

引用

4th IEEE International conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Mahato, Anisha Majumdar, Rana Ghosh, Swarup Kr Sister Nivedita University Department of Computer Science Engineering Kolkata India Manav Rachna International Institute of Research and Studies Faridabad India

ISBN: (纸本)9798350352931

the concept of digital privacy remains a contested and often misunderstood topic in the modern, internet-dominated era. Despite numerous advancements in cybersecurity, the pervasive threats to data security continue to erode trust in digital systems. Malware, a term encompassing a wide range of malicious software designed to disrupt operations, compromise systems, or steal sensitive information, represents a major challenge in this regard. Its widespread presence has led to the perception that digital privacy is increasingly unattainable, casting a shadow over cyberspace and intensifying the urgency for robust countermeasures. this study delves into the critical task of malware classification, leveraging the Malimg dataset, a benchmark resource widely used for malware research. To tackle this problem, four cutting-edge Convolutional Neural Network (CNN) architectures-LeNet-5, AlexNet, VGG-16 and ResNet-are employed to train and test the dataset, with the objective of identifying the architecture best suited for this classification task. the models are rigorously evaluated using four essential performance metrics: Accuracy, Precision, Recall, and F1-score, which collectively provide a comprehensive measure of their effectiveness. Among these architectures, ResNet emerges as the most effective, achieving a stellar accuracy of 99.78% and excelling across all other evaluation parameters. this highlights ResNet's superior capability in accurately identifying and classifying malware, thereby offering a promising solution to mitigate the growing threat posed by malicious software in cyberspace. © 2024 IEEE.

关键词： Cybersecurity

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Kalman Filter-Mutual Information Models Suggest Improved Training Protocols for Treating Cortical Blindness 59

Kalman Filter-Mutual Information Models Suggest Improved Tra...

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59th Annual conference on Information Sciences and systems, CISS 2025

作者： Pack, Christopher C. Pack, Charles D. McGill University Montreal Neurological Institute Quebec Canada Monmouth University Computer Science/Software Eng. Red BankNJ United States

ISBN: (纸本)9798331513269

Vision training protocols, especially those for subjects with brain impairments, often employ a form of visual discrimination in which specific stimuli must be identified over the course of many days. Trainers can control exercise difficulty by modifying the stimuli in several ways, e.g., Gaussian smoothing, affine transformations, adding pixel noise or varying contrast and brightness. Typically, subjects improve performance in training, but such gains do not generalize afterwards. In a previous paper, we introduced a Kalman Filter model of vision training that, when coupled with a Shannon-type information-theoretic assessment technology, "mutual information", might be used to assess a protocol's potential for lasting acuity gains. Our empirical observation, based on about 300 training protocols with only one image (stimulus) pair, was that including correlated noise, as a training feature, seemed to improve the chances of a good generalization outcome. In this paper, using a sample of more than 3000 vision training protocols, with 5 image pairs of various complexities (entropies), 11 pixel noise levels, 8 pixel noise correlation types and 7 image distortion strategies, we extend and enhance the previous arguments. that is, we believe our models can be used to better understand which protocols may inhibit or enhance perceptual learning and, hence, show the way to improved brain training for individuals with cortical blindness. this would be a significant breakthrough since, currently, vision training, for this condition, is often ineffective. We also discuss how one might apply simple statistical techniques to interpolate, extrapolate or optimize protocol features. Future work, targeted for 2025, will focus on laboratory experiments that will allow us to explore and validate our ideas and observations. © 2025 IEEE.

关键词： Affine transforms

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D-VSync: Decoupled Rendering and Displaying for Smartphone Graphics 25

D-VSync: Decoupled Rendering and Displaying for Smartphone G...

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30th ACM International conference on Architectural Support for Programming Languages and Operating systems, ASPLOS 2025

作者： Wu, Yuanpei Du, Dong Xu, Chao Xia, Yubin Fu, Ming Zang, Binyu Chen, Haibo Ipads Shanghai Jiao Tong University Engineering Research Center for Domain-specific Operating Systems Ministry of Education Shanghai China Fields Lab Huawei Central Software Institute Shanghai China Fields Lab Huawei Central Software Institute Hangzhou China Ipads Shanghai Jiao Tong University Engineering Research Center for Domain-specific Operating Systems Ministry of Education Key Laboratory of System Software Chinese Academy of Science Shanghai China

ISBN: (纸本)9798400706981

Rendering service, which typically orchestrates screen display and UI through Vertical Synchronization (VSync), is an indispensable system service for user experiences of smartphone OSes (e.g., Android, OpenHarmony, and iOS). the recent trend of large high-frame-rate screens, stunning visual effects, and physics-based animations has placed unprecedented pressure on the VSync-based rendering architecture, leading to higher frame drops and longer rendering latency. this paper proposes Decoupled Vertical Synchronization (D-VSync), which decouples execution and displaying in the rendering service. D-VSync allows frames to be rendered a number of VSync periods before being physically displayed on the screen. the key insight behind D-VSync to resolve the limitation of VSync is that, the decoupling enables sporadic long frames to utilize the computational power saved by common short frames, therefore providing a larger time window to tolerate workload fluctuations. Evaluation results of 75 common OS use cases and apps on OpenHarmony (Mate 40 Pro, Mate 60 Pro), 25 popular apps on Android (Google Pixel 5), and simulations of 15 mobile games show that compared to VSync, D-VSync on average reduces frame drops by 72.7%, user-perceptible stutters by 72.3%, and rendering latency by 31.1%, with only 0.13%-0.37% more power consumption. D-VSync has been integrated into HarmonyOS NEXT. © 2025 ACM.

关键词： Rendering (computer graphics)

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Development of Simple software Receiver For IRNSS L5 Signal 7

Development of Simple Software Receiver For IRNSS L5 Signal

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7th IEEE International Women in engineering (WIE) conference on Electrical and computer engineering (WIECON-ECE)

作者： Ammana, Supraja Reddy Katukojwala, Satyanarayana Satyanarayana, Bhaskara Songala, Komal Kumar Boddani, Sowjanya Kommineni, Namitha Tada, Nikhitha Achanta, Dattatreya Sarma Chatanya Bharathi Inst Technol A Dept ECE Hyderabad India Osmania Univ Dept Biomed Engn Hyderabad India Jawaharlal Nehru Technol Univ Dept ECE Kakinada India Chaitanya Bharathi Inst Technol A Dept ECE Hyderabad India

ISBN: (纸本)9781665478496

With tremendous increase in various fields of science and technology, there is a requirement for replacement of the dedicated hardware components by means of software modules to make the systems cost effective and efficient this paper aims to implement an IRNSS software receiver that is efficient for performing acquisition, code and carrier tracking, navigation bit extraction, navigation data decoding, pseudo range calculations and position computations. three different types of acquisition techniques are implemented and their performance is compared based on the processing time Tracking and navigation data extraction are carried out successfully and satellite position is estimated and validated Two prominent algorithms are implemented to compute the user position. the simplified step by step procedure for developing software Defined Radio (SDR) for IRNSS L5 Signal is presented the results obtained are encouraging and would be helpful in designing the comprehensive SDR for IRNSS signals.

关键词： IRNSS software Receiver Signal acquisition Signal tracking User Position

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