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5th International Conference on Information Systems and Computer Networks, ISCON 2021

作者： Bansal, Jayshri Bansal, Pratosh Chakrawarti, Rajesh Kumar Human Resource Development Center Devi Ahilya Vishwavidyalaya MP Indore India Institute of Engineering Technology Devi Ahilya Vishwavidyalaya Department of Information Technology MP Indore India Institute of Engineering Technology Devi Ahilya Vishwavidyalaya Department of Computer Engineering Faculty of Engineering MP Indore India

ISBN: (纸本)9781665403412

Poetry is an expression of feelings. A poem is a thing which could be either sing or sometimes at least hummable. Over the years, specific rules have been defined for the structures and categories of the poems which can help in making them lyrical and rhythmic, although, all languages might have their own rules for the poems. Poetry translations through machines (computer systems) are very crucial and considered to be impossible tasks. Most of the times, Poetry translation of English language to other native languages may become quite easy but vice-versa is the toughest. The reasons are varieties in structures, categories and own emotions of the native languages. Numerous efforts have been applied around the world towards the poetries machine translations from native languages into English. This research presents rigorous survey for such kinds of poetry machine translation systems and their quality and accuracy measurement techniques. It also gives an idea of Hindi (our national and main native) language poetry machine translations into English Language. Further, a deep analysis and sources (corpuses) have been discussed for existing Hindi to English Machine Translations systems. At last, the research also discusses the importance of the Hindi to English Machine Translations systems [1] [2]. © 2021 IEEE.

关键词： Computational linguistics

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Automatic assessment of individual culture attribute of power distance using a social context-enhanced prosodic network representation 19

Automatic assessment of individual culture attribute of powe...

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19th Annual Conference of the International Speech Communication, INTERSPEECH 2018

作者： Tsai, Fu-Sheng Yang, Hao-Chun Chang, Wei-Wen Lee, Chi-Chun Department of Electrical Engineering National Tsing Hua University Taiwan International Human Resource Development National Taiwan Normal University Taiwan MOST Joint Research Center for AI Technology All Vista Healthcare Taiwan

Culture is a collective social norm of human societies that often influences a person's values, thoughts, and social behaviors during interactions at an individual level. In this work, we present a computational analysis toward automatic assessing an individual's culture attribute of power distance, i.e., a measure of his/her belief about status, authority and power in organizations, by modeling their expressive prosodic structures during social encounters with people of different power status. Specifically, we propose a center-loss embedded network architecture to jointly consider the effect of social interaction contexts on individuals' prosodic manifestations in order to learn an enhanced representation for power distance recognition. Our proposed prosodic network achieves an overall accuracy of 78.6% in binary classification task of recognizing high versus low power distance. Our experiment demonstrates an improved discrim-inability (17.6% absolute improvement) over prosodic neural network without social context enhancement. Further visualization reveals that the diversity in the prosodic manifestation for individuals with low power distance seems to be higher than those of high power distance. © 2018 International Speech Communication Association. All rights reserved.

关键词： Speech communication

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Usability evaluation in an exploratory design-based research approach of convenience store new employee training e-Learning material

Usability evaluation in an exploratory design-based research...

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Joint Conferences on Pervasive Computing (JCPC)

作者： Chiung-Sui Chang Wan-Tzu Wong Yi-Chia Cheng Ya-Ping Huang Department of Educational Technology Tamkang University Taiwan Department of Technology and Human Resource Development Taiwan Normal University Taiwan

ISBN: (纸本)9781424452279;9781424452286

A large number of organizations have adopted e-learning programs, and far fewer have addressed the usability of their learning applications. To ensure the quality of e-learning training material, we utilized the usability evaluation heuristic in the design and development processes. The application of exploratory, and usability evaluations during the design-based research study is described. Additionally, participant selection, data collection and analysis; and results relevant to usability portions of this study are presented.

关键词： Usability Electronic learning On the job training Prototypes Process design Research and development Feedback humans Costs Data analysis

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Engineer training in East Japan Transport technology Co., Ltd.

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Japanese Railway Engineering 2013年第178期 18-20页

作者： Taguchi, Hayato Human Resource Development Group Administration Department East Japan Transport Technology Co. Ltd. Japan

East Japan Transport technology Co., Ltd., Japan has introduced engineer training programs in its facility. The company's personnel training measures include the main business whose contents are divided into the maintenance and manufacturing of vehicles. Maintenance of various railway vehicles involves inspection and repair of vehicles and parts of various railway companies including JR East, running on conventional lines, linear motor car type subways, and new transportation systems. Design, installation, and maintenance of equipment required for maintenance involves planning a whole car depot with stretching from the cleaning and carrier equipment of vehicles and their parts to the part inspection equipment. Another such measure involves Vehicle manufacturing cooperating with the JR East vehicle factory. It works jointly with Niitsu Rolling Stock Plant to take care of the wide range works, including the partial manufacturing process of the vehicle which is operating in the Keihin Tohoku line, Sobu line, Yamanote line and Chuo line.

关键词： Vehicles

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Empowering academia to look into the future: Nanotechnology safety education-creating the workforce that you will need

Empowering academia to look into the future: Nanotechnology ...

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2011 11th IEEE International Conference on Nanotechnology, NANO 2011

作者： Fazarro, Dominick Trybula, Walt Industrial Technology and Industrial Management Department Human Resource Development and Technology University of Texas at Tyler Tyler TX 75799 United States Ingram School of Engineering Texas State University-San Marcos San Marcos TX 7866 United States

ISBN: (纸本)9781457715143

Nanotechnology is a broad, emerging area of technology development that cuts across nearly every sector of the economy and is gaining ground in the marketplace. During the last ten years, health safety personnel have been studying the effects of nanoparticles on human health. As nanotechnology gains momentum on the global market, there are some safety issues that must be explored and resolved before assuring a safe working environment. Workers need to be trained in sustainable and safe manufacturing practices. To have the greatest impact, safety training should be incorporated into two-year post-secondary and workforce education programs so that graduates enter the workforce with the knowledge, skills, and attitudes needed to maintain a safe workplace from the outset of their careers. A number of professional organizations such as CDC, NIOSH, and ICON have begun collaboration efforts to establish a foundation to help define the fundamentals of nano-EHS safety content. © 2011 IEEE.

关键词： Nanotechnology

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The acceptance of wireless healthcare for individuals: An integrative view

The acceptance of wireless healthcare for individuals: An in...

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作者： Wu, Ing-Long Li, Jhao-Yin Fu, Chu-Ying Wu, Shwu-Ming Department of Information Management National Chung Cheng University Chia-Yi Taiwan Institute of Information Science Academia Sinica Taipei Taiwan Department of Information Management Wu Feng Institute of Technology Chia-Yi Taiwan Department of Human Resource Development National Kaohsiung University of Applied Science Kaohsiung Taiwan

ISBN: (纸本)9789898425089

A recent report showed that the adoption rate of mobile healthcare is relatively low. Thus, a study for how healthcare professionals adopt mobile services to support their work is imperative in practice. An integration of TAM and TPB has considered both technological and organizational aspects in a complementary manner. However, while mobile healthcare is considered as an emerging technology with wireless features and often used in a voluntary motive. The service provision for pervasive usage and individual psychological state are critical in determining the system use. Accordingly, perceived service availability and personal innovativeness in IT are the major drivers for the components of TAM and TPB. This study thus proposed such a research framework for integrating these relevant components from a broader perspective. Empirical research is further conducted for examining its practical validity.

关键词： Information systems

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Predicting Heart Disease Using Machine Learning Techniques on Electronic Health Records Data 3

Predicting Heart Disease Using Machine Learning Techniques o...

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3rd International Conference on Emerging Smart Technologies and Applications, eSmarTA 2023

作者： Baddah, Waheeb Qasem, Hamzah Ali Alsabry, Ayman Hussein Obaid, Abdulrahman Mohammed Abdo Mohammed, Awadh Hanash, F.E. Azal University for Human Development Department of Information Technology Sana'a Yemen International University of Technology Twintech 21 September University of Medical and Applied Sciences Sana'a Yemen International University of Technology Twintech Department of Computer Science Sana'a Yemen Medical Information Technology 21 September University of Medical and Applied Sciences Sana'a Yemen Biomedical Equipments Technology 21 September University of Medical and Applied Sciences Sana'a Yemen International University of Technology Twintech Sana'a Yemen

ISBN: (纸本)9798350305333

heart disease is a prevalent cause of mortality worldwide, and the ability to identify and prevent this ailment at an early stage is crucial for enhancing patient outcomes. Recently, researchers have focused on utilizing Machine-Learning (ML) techniques to predict risk factors and the occurrence of heart disease. This study aims to identify the optimal parameters for accurately predicting the occurrence of heart disease through the fine-tuning of ML models' parameters. This study incorporated a blend of datasets from Cleveland, Hungary, Switzerland, and Long Beach V, which consisted of patients' medical histories and laboratory test outcomes. The collected data were employed to predict the occurrence of heart disease through diverse ML algorithms, such as KNN, decision tree, and SVM. Bayesian optimization was also utilized to fine-tune the hyperparameters of the ML algorithms for heart disease prediction. The findings demonstrated that the ML models achieved high accuracy in predicting the occurrence of heart disease, with the optimized KNN model achieving the highest accuracy rate of 100%. © 2023 IEEE.

关键词： Forecasting

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Effects of virtual reality on creativity performance and perceived immersion: A study of brain waves

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British Journal of Educational technology 2023年第2期54卷 581-602页

作者： Wang, Yen-Yin Weng, Tz-Han Tsai, I-Fan Kao, Jing-Yueh Chang, Yu-Shan Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

The purpose of this study was to explore the effects of virtual reality (VR) application on creative performance and immersion, evaluated through electroencephalography brain wave data to achieve accurate and robust results. In this study, 72 middle school teachers were recruited as participants, and a non-randomized control-group pre-test–post-test design was employed. The experimental group received VR-based design instruction, and the control group received lecture-based design training. Our results revealed that VR significantly affects immersion, especially with regard to attention. Additionally, VR had a positive effect on the feasibility of the creative process, although its effects on variety and novelty were inconclusive. VR was significantly correlated with theta, beta, and gamma brain wave activity. VR also increased attention-related and meditation-related brain wave activity and desynchronized alpha waves. Practitioner notes: What is already known about this topic VR is used in many areas. VR in education is getting more important day after day. What this paper adds VR significantly affects immersion, especially with regard to attention. VR had a positive effect on the feasibility of the creative process, although its effects on variety and novelty were inconclusive. VR was significantly correlated with theta, beta, and gamma brain wave activity. VR also increased attention-related and meditation-related brain wave activity and desynchronized alpha waves. Implications for practice and/or policy User lack of familiarity with VR may also have influenced the results;more VR learning materials should be provided for learners. In addition to using a larger sample, future studies should focus on creative novelty when developing VR content to improve creative processes and outcomes. Familiarizing learners with the use of VR could effectively reduce the cognitive load, as well as contribute to the stimulation of creative brain waves. © 2022 British Educational

关键词： Virtual reality

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Explainable AI for Trustworthy Clinical Decision Support: A Case-Based Reasoning System for Nursing Assistants

Explainable AI for Trustworthy Clinical Decision Support: A ...

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IEEE International Conference on Big Data

作者： Yen-Ku Liu Yun-Cheng Tsai Department of Technology Application and Human Resource Development National Taiwan Normal University Taipei Taiwan

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

The increasing complexity of patient data and the need for reliable, transparent decision-making in healthcare drive the demand for advanced AI systems. This paper introduces a Clinical Decision Support System (CDSS) integrating Explainable AI (XAI) with Retrieval-Augmented Generation (RAG), designed to offer transparent, real-time, and evidence-based recommendations. HIPAA-compliant and grounded in historical case studies, the system facilitates trustworthy decision-making in high-pressure environments for nursing assistants. Although preliminary, simulations indicate the system’s potential to reduce cognitive load and enhance decision accuracy, with future clinical trials planned for comprehensive validation. It ensures HIPAA compliance while utilizing real-time patient data and historical case studies to support transparent and reliable clinical decisions. The system provides real-time, mobile-friendly recommendations based on predictive analytics and case-based reasoning, ensuring that nursing assistants can make informed, transparent decisions even in high-pressure scenarios. Future work will validate the system through simulations and clinical trials to assess its impact on decision accuracy and cognitive load reduction. Designed specifically for nursing assistants, the system provides real-time, explainable recommendations and retrieves relevant historical cases and clinical guidelines to support decision-making. While this work is preliminary and has not been deployed in clinical settings, theoretical analysis suggests that the system has the potential to improve decision accuracy and reduce cognitive load. A roadmap for future validation and clinical trials is outlined to demonstrate how the proposed system can be integrated into healthcare workflows.

关键词： Decision support systems Accuracy Explainable AI Scalability Retrieval augmented generation Medical services Clinical trials Cognitive load Real-time systems Load modeling

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Strategic human resource development through Mentoring

Strategic Human Resource Development through Mentoring

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International Conference on Management and Service Science, MASS

作者： Li-yu Chen Chien Yu Department of Technology application & Human Resource Development National Taiwan Normal University Taipei Taiwan

The purpose of this study were to discuss diversity mentoring and organization's influence. The case study is a high technology company in Taiwan. There are 11 employees interviewed, and come out the conclusions as: diversity mentoring from organizational development, has faced the multiple hardships but still insisted on keeping conducting, influence on the organization and employees from the mentoring systems. We then further discuss the theoretical and managerial implications of our conclusions.

关键词： Employee welfare humans Companies Training Industries

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