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advances in computing science--asian '99 : 5th asian computing science conference, Phuket, thailand, December 10-12, 1999 : Proceedings

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2016年

作者： p. s thiagarajan

advances in computing science--asian '99 : 5th asian computing science conference, Phuket, thailand, December 10-12, 1999 : Proceedings by asian computing science conference (5th : 1999 : Phuket, thailand); thiaga... 详细信息

关键词： advances asian computer science computing conference, electronic data processing

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Productivity Enhancement by Layout Redesign and Application of Lean Principles in the Apparel Industry 1

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5th International conference of the Industrial Engineering and Industrial Management (IEIM)

作者： Fernandez-Diaz, Leslie Vera-Rojas, Natalia Carlos Quiroz-Flores, Juan Univ Lima Fac Engn Ind Engn Career Lima Peru

ISBN: (数字)9783031563737

ISBN: (纸本)9783031563720;9783031563737

the growth of the textile-apparel industry has been significantly harmed by the pandemic experienced in 2019. However, this was compounded by previous problems such as the low quality of products, the large amount of waste, and unproductive times, among others. these have had a significant impact on the low productivity of this sector, which hinders its ability to compete with large asian competitors. An essential part is the correct management of processes and plant design. the proposed proposal uses tools such as TQM, 5S, Poka-yoke, SLP, and process standardization to improve the current productivity indicator of 0.04 und/PEN after the implementation of the pilot plans and the simulation carried out with Arena, an increase in the secondary and primary indicators was obtained, which reached 0.11 und/PEN.

关键词： Applied computing Transportation Supply Chain Management

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Optical Observation for Body Angles of Cricket Players' Motion to Identify the Batting Shots 5

Optical Observation for Body Angles of Cricket Players' Moti...

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5th International conference on Advanced Research in computing, ICARC 2025

作者： Jayaweerage, Ishan Induranga, Ashan Maduwantha, Kaveendra Kumara, Samantha Sabaragamuwa University of Sri Lanka Faculty of Computing Belihuloya70140 Sri Lanka Sabaragamuwa University of Sri Lanka Faculty of Technology Belihuloya70140 Sri Lanka

ISBN: (纸本)9798331530983

Cricket, one of the world's most popular sports, has developed considerably during the past few decades. the competition and complexity of this sport increased largely during the past few years, which brought the attention of the researchers to develop technical solutions to improve the quality of the sport by improving both the on-field decision-making and practicing methods. there are several kinds of high-end equipment available in the market that can be used to improve these skills. Even though such equipment can be used at the national level, it is very difficult to use them at school and club levels due to their higher cost. this research focused on enhancing the batting skills of cricket batsmen using a low-cost setup that uses webcams to capture the footage and the MediaPipe library, which was developed by Google to analyze motion data. this research analyzed two cricket shots, the front foot defence, and the pull shot, using four web cameras. the received footage was analyzed using MediaPipe to identify the variations in the angles of the player's left elbow and left shoulder while playing the shot. these pattern identifications can help successfully understand the angle variation of the forward foot defence and the pull shots by generating an average angle value graph using four web cameras. these graphs show the special patterns for each batting shot. this methodology and the results are valuable for developing a successful player analyzing system by considering the other important cricket shots at a very low cost with affordable 2D web cameras. © 2025 IEEE.

关键词： Motion analysis

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Plant Disease Detection: A Comparative Study of Deep Learning Approaches 5

Plant Disease Detection: A Comparative Study of Deep Learnin...

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5th International conference on Inventive Research in computing Applications, ICIRCA 2023

作者： Princy, K.T.M. Belwal, Meena Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350321425

Demand for food is increasing every year. It causes insecurity in food items. Farmers are using large amounts of fertilizers and pesticides to meet their needs. Fertilizers are substances applied to plants to increase their productivity. According to the survey, India ranks second in fertilizer use globally and first in south asian countries. Pesticides are used to kill and repel certain kinds of pests. the overuse of pesticides and fertilizer causes a lot of problems. Most pesticides are harmful and have a terrible effect on the environment and human health. Sulphur, Malathion, Mutchler, Copper Oxychloride, Prorate, and Mancozebs have commonly used pesticides. Overuse of pesticides causes severe health issues like Cancer and that leads to death. Managing and controlling pesticides is very important to ensure safe public health. there are numerous reasons for the over usage of pesticides. the Main reason is crop diseases and pest attacks. Inefficient ways to determine plant disease and late diagnosis cause more use of pesticides. Determining the correct plant disease and types is essential to overcome this threat. this work deals with an effective way to discover plant disease detection using deep learning models. Numerous learning methods are present for the early detection and classification of diseases. In this work, we apply different deep learning algorithms such as CNN, ResNet, Inception model, Vgg16 and Vgg19. We get an accuracy in the range of 72% to 92%. © 2023 IEEE.

关键词： Diagnosis

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Using No-code Platform to Accelerate Digital Transformation - the Study for Feasibility Analysis and Solution Development of Performance Visualization Cloud-computing Management System (PVCMS) 23

Using No-code Platform to Accelerate Digital Transformation ...

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5th Asia Pacific Information Technology conference, APIT 2023

作者： Hsu, Shun-Fa Lee, Yi-In Hsu, Ching-Tzu Hsu, Ching-Yin Intelligent Cloud-computing and Big-Data Center Chung Chou University of Science and Technology Taiwan Department of International Business Tunghai University Taiwan Civil Aeronautics Administration Ministry of Transportation and Communications Taiwan Department of East Asian Studies National Taiwan Normal University Taiwan

ISBN: (纸本)9781450399500

this study is based on government's digital transformation policy and the industry's digital development trend. Micro-Small Enterprises(MSEs) are the target customers to meet the organizational productivity management needs of key performance indicators (KPI) and project management (PjM) as the research subject, combined with management by objectives (MBO) and performance appraisal organizational management practice as a methodology, using Google's No-code smart cloud-computing service as a practical platform, integrating data input/processing/analysis/ visualization (D/IPAV®) workflows to customized develop the "Performance Visualization Cloud-computing Management System"(PVCMS) of the organization's operational data monitoring and decision-making digital dashboard. this project sets PVCMS as the core product and develops a set of indicators construction, analysis and visual monitoring that meet the performance management needs of the industry. Diagnosis and Consultant model as a solution, to follow-up actual commercialization standard operating procedure to be followed, and quick import templates for various performance management visualization modules. Its operation process is mainly divided into five stages: (1). Define performance management requirements, (2). Establish KPIs, (3). Link Indicator with performance evaluation, (4). Build performance management system, (5). Track Indicators and decision-making application. © 2023 ACM.

关键词： Cloud computing

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Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th International conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

Workshop on Longitudinal Disease Tracking and Modeling with ...

引用

Workshop on Longitudinal Disease Tracking and Modeling with Medical Images and Data, LDTM 2024, 5th International Workshop on Multiscale Multimodal Medical Imaging, MMMI 2024, 1st Workshop on Machine Learning for Multimodal/-sensor Healthcare Data, ML4MHD2024 and Workshop on Multimodal Learning and Fusion Across Scales for Clinical Decision Support, ML-CDS 2024 held in conjunction with the 27th International conference on Medical Image computing and Computer Assisted Intervention, MICCAI 2024

ISBN: (纸本)9783031845246

the proceedings contain 21 papers. the special focus in this conference is on Longitudinal Disease Tracking and Modeling with Medical Images and Data. the topics include: Disease Progression Modelling and Stratification for Detecting Sub-trajectories in the Natural History of Pathologies: Application to Parkinson’s Disease Trajectory Modelling;back to the Future: Challenges of Sparse and Irregular Medical Image Time Series;Individualized Multi-horizon MRI Trajectory Prediction for Alzheimer’s Disease;towards Longitudinal Characterization of Multiple Sclerosis Atrophy Employing SynthSeg Framework and Normative Modeling;segHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints;Longitudinal Segmentation of MS Lesions via Temporal Difference Weighting;registration of Longitudinal Liver Examinations for Tumor Progress Assessment;Tracking Lesion Evolution Using a Boundary Enhanced Approach for MS Change Segmentation (BEAMS);a Radiological-Based Coordinate System for the Human Body: A Proof-of-Concept;language Models Meet Anomaly Detection for Better Interpretability and Generalizability;A Diffusion Model Embedded WCSAU-Net for 3D MRI Brain Tumor Segmentation;predicting Human Brain States with Transformer;Cross-Modality Image Quality Prediction for Time-Resolved CT from Breathing Signals;RATNUS: Rapid, Automatic thalamic Nuclei Segmentation Using Multimodal MRI Inputs;HyperMM: Robust Multimodal Learning with Varying-Sized Inputs;HEMIT: H&E to Multiplex-Immunohistochemistry Image Translation with Dual-Branch Pix2pix Generator;Physics-Informed Latent Diffusion for Multimodal Brain MRI Synthesis;medPromptX: Grounded Multimodal Prompting for Chest X-Ray Diagnosis;predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning;multimodality for Diagnosis of asian Choroidal Vasculopathy: Results from a Novel Dataset and Deep-Learning Experiments;multimodality Frequency Feature Customized Learning for Pediatric Ventricu

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Prediction of Lumpy Virus Skin Disease Using Artificial Intelligence 1

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5th International conference on Data and Information sciences, ICDIS 2023

作者： Kholiya, Pankaj Singh Kriti Mishra, Amit Kumar School of Computing DIT University Dehradun India Department of Computer Science and Engineering Jain University Bengaluru India

ISBN: (数字)9789819969067

ISBN: (纸本)9789819969050

Lumpy skin disease (LSD) is a skin infection caused by the lumpy skin disease virus, which belongs to the genus of Capripoxviruses. the disease transmitted by arthropod vectors has high morbidity and low mortality rates. Contagious through arthropod-borne feces and infected insects, it is virtually a non-vectored disease. It takes one to four weeks for viremia to develop. It affects all animals regardless of their age or gender. the use of LSD by cattle in Asia has recently been reported as a terrifying threat. A morbidity rate of 7.1% was reported among cattle for the first time in India for LSD. Clinical manifestations of the disease include fever, anorexia, nodules on the mucus membranes of the mouth, nose, genital, udder, eyes, and rectum, less milk production, infertility, abortion, and even death. First introduced in Bangladesh in July 2019, the disease has since spread to China, Bhutan, India, Nepal, Vietnam, and Myanmar in Southeast Asia. this paper presents a comprehensive overview of LSD outbreaks in asian countries over the past three years and also sheds light onto the existing methods of disease detection based on artificial intelligence techniques. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Diseases

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Student Personality, Motivation and Sustainability of Technology Enhanced Learning: A SEM-Based Approach 7th

Student Personality, Motivation and Sustainability of Techno...

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Proceedings of the 7th International conference on advances in computing and Data sciences, ICACDS 2023

作者： Rohan, Rohani Mukherjee, Subhodeep Patra, Syamal Funilkul, Suree Pal, Debajyoti School of Information Technology King Mongkut’s University of Technology Thonburi Bangkok Thailand Andhra Pradesh Visakhapatnam India Department of Computer Science and Engineering Camellia Institute of Technology West Bengal Kolkata India

ISBN: (纸本)9783031379390

Technology enhanced learning (TEL) has come into prominence and become more relevant after the onset of COVID-19 pandemic. However, it is not known that whether TEL will be socially sustainable, and what factors can affect its sustainability. therefore, in this work we propose a new research model based on UTAUT2 and the Big 5 Personality Framework that considers several motivational factors together with the different personality traits of the students. Data is collected from two asian countries and analyzed using a Covariance-based SEM method. Results suggest that motivational factors of performance expectancy, hedonic motivation, social influence, price value and habit significantly affect the social sustainability of TEL. Likewise, the personality traits of agreeableness and neuroticism are also relevant. Suitable theoretical and practical implications are discussed based on the results. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Scanning electron microscopy

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Minimal-envy conference Paper Assignment: Formulation and a Fast Iterative Algorithm 5

Minimal-envy Conference Paper Assignment: Formulation and a ...

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5th asian conference on Artificial Intelligence Technology, ACAIT 2021

作者： Tan, Mao Dai, Zhuocen Ren, Yuling Walsh, Toby Aleksandrov, Martin Xiangtan University Hunan National Center for Applied Mathematics Xiangtan China Xiangtan University School of Computer Science Xiangtan China University of New South Wales School of Computer Science and Engineering Sydney Australia Institute of Software Engineering and Theoretical Computer Science Technical University Berlin Berlin Germany

ISBN: (纸本)9781665426305

In conference review management, it is very common that many papers being assigned are not liked by some reviewers due to their specialties or personal interests. In this paper, we consider a reviewer might only envy other reviewers who get a better set of papers than his. In this context, we proposes a new bi-objective optimization assignment model to efficiently and fairly assign papers to many competing reviewers, in which an index that measures the amount of envy is introduced. A fast iterative algorithm is proposed to solve the problem. the experimental results on real datasets shows that the algorithm achieves efficient and fair results and good computing performance, especially on large scale problems. this work is also meaningful for a number of similar allocation or matching problems. © 2021 IEEE.

关键词： Iterative methods

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Construction and application of biological visual nerve computing model in robot 5

Construction and application of biological visual nerve comp...

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5th asian conference on Artificial Intelligence Technology, ACAIT 2021

作者： Yu, Naigong Yu, Hejie Qiu, Tong Lin, Jia Beijing University of Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Faculty of Information Technology Beijing China

ISBN: (纸本)9781665426305

Biological vision is very effective and accurate in scene classification and recognition. Based on this, this paper proposes a biological visual neural computing model based on the anatomical structure of rat brain, which is characterized by: constructing a biological visual scene memory model (visual word bag), imitating the biological brain's storage of environmental scene information, and calculating the similarity between the current scene information and the visual template;designing and constructing the object details located in the lateral entorhinal cortex and the peripheral olfactory cortex Cell discharge model. Experimental results show that the proposed model can effectively extract image features and generate visual word bag model based on image features. Compared with ratslam scan line strength model, the retrieval time of this model is greatly shortened;the object cell discharge model with image similarity information as input can show similar expression of discharge rate as physiological research, which verifies the effectiveness and efficiency of the proposed model. the research results lay a foundation for the research of robot environment cognition method based on brain cognitive mechanism. © 2021 IEEE.

关键词： Physiological models

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