• Title/Summary/Keyword: human decision making

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Design and Implementation of a Body Fat Classification Model using Human Body Size Data

  • Taejun Lee;Hakseong Kim;Hoekyung Jung
    • Journal of information and communication convergence engineering
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    • v.21 no.2
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    • pp.110-116
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    • 2023
  • Recently, as various examples of machine learning have been applied in the healthcare field, deep learning technology has been applied to various tasks, such as electrocardiogram examination and body composition analysis using wearable devices such as smart watches. To utilize deep learning, securing data is the most important procedure, where human intervention, such as data classification, is required. In this study, we propose a model that uses a clustering algorithm, namely, the K-means clustering, to label body fat according to gender and age considering body size aspects, such as chest circumference and waist circumference, and classifies body fat into five groups from high risk to low risk using a convolutional neural network (CNN). As a result of model validation, accuracy, precision, and recall results of more than 95% were obtained. Thus, rational decision making can be made in the field of healthcare or obesity analysis using the proposed method.

A Study on the Effect of Strategic Human Resource Management on Innovation Behavior and Organizational Performance (전략적 인적자원관리가 혁신행동과 조직성과에 미치는 영향에 관한 연구)

  • Kim, Moon-Jun
    • Industry Promotion Research
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    • v.5 no.1
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    • pp.21-33
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    • 2020
  • The purpose of this study is to investigate the impact of strategic human resource management perceived by members of SMEs on organizational performance and innovation behavior. In addition, the mediator effect of innovation behavior of organizational members on the relationship between strategic human resource management and organizational performance was verified using the statistical program SPSS 21.0 program. First, the hypothesis 1, strategic human resource management (adoption and compensation, job design, training and career management, participation in decision-making) was adopted by showing positive impact on the positive impact on organizational performance. Second, hypothesis 2, strategic human resource management (recruitment and compensation, job design, training and career management, participation in decision-making) was adopted after demonstrating statistically significant influence on innovation behavior. Third, the innovation behavior perceived by Hypothesis 3 organizational members showed a positive influence on organizational performance. Hypothesis 3 was therefore adopted. Fourth, as a result of verifying the mediating effect of innovation behavior in the relationship between hypothesis 4, strategic human resource management and organizational performance, innovation behavior was analyzed to be partially mediated. In other words, strategic human resource management of organizational members has a direct impact on organizational performance, but it can show a higher positive impact on organizational performance through innovation actions in its performance.

A Study on Definition and Characteristic of Experience Design - Focused on Human's Cognition Process in Space - (경험디자인의 개념과 특성에 관한 연구 - 인간의 공간 인지 과정을 중심으로 -)

  • Kim Ye-Jin;Lee Jeong-Wook
    • Korean Institute of Interior Design Journal
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    • v.15 no.4 s.57
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    • pp.138-146
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    • 2006
  • Main elements in definition of space value were physical, formal, and reasonable characteristics in the past. Howener recently, definition of space value is changing by being advanced about study concerned with human's cognition and thinking way in definition and analysis of space. As you see, cognitive psychologists have emphasized the importance of human's cognitive structure and process and studied diverse aspects of human's thinking ; consciousness, perception, memory, image, language, decision-making, inference, and so on. Therefore main elements in definition of space value are five-dimensional, psychological, symbolic, mental, emotional characteristics above physical, formal, and reasonable characteristics. As mentioned above, the conversion of thinking focused on reason to thinking focused on human's spirit and emotion is achieved in contemporary architecture and 'human's experience' in space becomes a very important factor. For that reason, the purpose of this study is consideration of human's cognitive process in space by conversion of thinking and gives a definition about experience. And, I would like to define 'experience design' whose main attribute is experience in space and establish theoretical basis of experience design through theoretical researches about experience. This study on experience design that induces users to participate in space and stimulate human's spirit is a important point in definition of space value not only contemporary interior architecture but also prospective generation.

Cognitive Analysis on Accident-related Human Factors during Shunting Movements (철도 입환작업 중의 인적 사고요인에 대한 인지과학적 분석)

  • Lee, Seung-Won;Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.20 no.4 s.72
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    • pp.114-121
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    • 2005
  • Railroad shunting movements connecting and disconnecting train sets are very susceptible to human errors since they depend on human decision-making and action procedure that are variable to situation to situation. Nevertheless, in the investigation of railroad accidents, all the accident causes related with human factors have merely been categorized as 'careless treatment' of the workers without any systematic approach of behavioral sciences or the analysis of human errors. In this research, therefore, 137 accident cases occurred during railroad shunting movements and 435 accident cases occurred during driving were analyzed with a special interest of human errors. According to results, the traditional accident investigation scheme used for last several decades did not seem to be appropriate for catching up true accident causes with respect to human errors. In addition, both signal men and locomotive drivers made many mistakes in judgement/action stage while the former mainly commit judgement tasks where as the latter mainly commit cognition tasks. Ant those tasks such as 'confirmation of signal and route', 'location check-up of connected train sets', and 'route identification for a shift of track' ranked highly for accident susceptibility.

The Effects of Strategic Planning, Human Resource and Asset Management on Economic Productivity: A Case Study in Indonesia

  • SARA, I. Made;SAPUTRA, Komang Adi Kurniawan;UTAMA, I Wayan Kartika Jaya
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.381-389
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    • 2021
  • This study aims to examine the effect of strategic planning, human resource management, and asset management on increasing the productivity of the rural economy. This research is a quantitative approach. The research sample was carried out by simple random sampling and data collection using a questionnaire so that 129 respondents were determined. The research test was conducted using multiple linear regression with the OLS (Ordinary Least Square model. The results obtained were that strategic planning, human resource management, and asset management had a significant positive effect on increasing the productivity of the rural economy. This shows that strategic planning is the most important thing in industry, companies, or organizations as a guideline to achieve optimal performance. In addition, human resource management and asset management are positive supports for increasing the economic productivity of rural communities to achieve welfare goals. This research proves that strategic planning must be carried out by considering the existing potential, both sources. natural resources, human resources, and economic resources Meanwhile, human resource management and asset management are mandatory to support the sustainability of an organization or company so that the benefits of the study as study material in strategic decision making, both in business and public policy.

Development of Human Resources Competency Components: An Empirical Study in the Stock Exchange of Thailand

  • CHINNAPONG, Pruksaya;KOOMPAI, Somjintana;AUJIRAPONGPAN, Somnuk;RITKAEW, Supit;JUTIDHARABONGSE, Jaturon
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.7
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    • pp.635-646
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    • 2021
  • The objectives of this research are to establish and confirm the human resources competency components for listed companies in the Stock Exchange of Thailand. The sample group used in this research includes the company president, business owner, managing director, assistant managing director, general manager or human resources manager of 140 listed companies. The research instrument is a scale-estimated questionnaire. The obtained data were subjected to principal component analysis and were analyzed for the rotation of the perpendicular component using the Varimax method. Results were generated through the analysis of eight components, consisting of decision-making, creativity, strategic thinking, relationship and communication, teamwork, adaptability, self-management, and motivation. The research results demonstrate important components in human resource performance that are critical to the successful development of organizations. Organizations can apply these components to the development of human resource competencies in accordance with the operations that need to be adjusted to suit the changes that occur. These rapidly-changing conditions are important factors that can be studied and developed into variables and components that affect human resource performance in the future. As a result, organizations need to adjust to be well prepared to face problems and challenges in the harsh competitive environment in the future.

Algorithmic Framework for Business Process Innovation

  • Han Hyun-Soo
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2003.05a
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    • pp.1142-1149
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    • 2003
  • Various organizational factors effect successful implementation of IT enabled business transformation. Among them, the most critical success factor is deemed to overcoming change management problem. Lots of studies have been made on Implementation methodologies and business process formalizations to encourage organizational members to accept new business process changes. However, the logic or process redesign still depends on qualitative problem solving techniques mostly depending on basically human intuition such as brainstorming. cause-and-effect analysis. and so on. In this paper, we focused on developing analytic framework to design to-be business process structure. which can complement qualitative problem solving procedures. With effective use of IT as an enabler, we provide algorithmic framework applicable to designing various business process changes such as process automation, business process resequencing, and more radical process integration. The framework follows dynamic programming approach in the literature, which is based on the decision making paradigm of organizations to abstract business processes as quantitative decision models. As such, our research ran fill the gap of limited development of theory based analytic methodologies for business process design, by providing objective rationale to reach the consensus among the organizational members including senior management.

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The Decision Algorithm for Driving Intension Using Moduled Neural Network

  • Kang, Joon-Young;Kim, Seong-Joo;Seo, Jae-Yong;Jeon, Hong-Tae
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1768-1771
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    • 2002
  • Automatic Transmission System(ATS) was designed to replace the human's manual operation of the gear box. So far, this system operates with the fixed shift pattern information. In this paper, new algorithm considering driver's operation tendency is proposed. Also, to get rid of the uselessly frequent shift of the ATS, the conditions and the status of the vehicle would be included for the evaluation in making a decision of shifting. A field test is done in a car equipped with the computer set connected to Transmission Control Units(TCU) to check the status of the test car, and it shows the excellency of the proposed algorithm.

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The Efficiency Analysis for DMU Using the Integration Method of DEA and AHP (DEA와 AHP 기법이 결합된 DMU의 효율성 분석)

  • Kim, Tae-Sung;Cho, Nam-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.2
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    • pp.1-6
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    • 2006
  • This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

Patterns of College Students' Moral Engagement with Socioscientific Issues

  • Lee, Hyun-Ju;Choi, Kyung-Hee;Chang, Hyun-Sook
    • Journal of The Korean Association For Science Education
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    • v.26 no.5
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    • pp.646-659
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    • 2006
  • This study explored, through informal, conversation-type interviews, how college students relate to science in general as well as to two specific socioscientific issues: human cloning and animal dissection/experimentation. How students "relate" includes what kinds of attitudes they have toward science and socioscientific issues, how seriously they consider and want to engage with these issues, and how they express their opinions or make a decision. The sample (16 college students) was heterogeneous in terms of academic background, ethnicity, and school year. Each interview lasted for about one hour with audiotaping. Results indicated that most participants immediately brought in their own values and feelings in implicit or explicit ways. However, the depth of their personal engagements varied. Most of the participants either did not take socioscientific issues seriously or merely quoted their own values in resignation, seemingly not able to deal with the issues and overwhelmed by many other aspects of the issues. By reflecting on the participants' reactions, the discussion addresses some of the larger issues for current secondary science teaching that involve raising responsible democratic citizens.