• Title/Summary/Keyword: reward time

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Economic Adjustment Design For $\bar{X}$ Control Chart: A Markov Chain Approach

  • Yang, Su-Fen
    • International Journal of Quality Innovation
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    • v.2 no.2
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    • pp.136-144
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    • 2001
  • The Markov Chain approach is used to develop an economic adjustment model of a process whose quality can be affected by a single special cause, resulting in changes of the process mean by incorrect adjustment of the process when it is operating according to its capability. The $\bar{X}$ control chart is thus used to signal the special cause. It is demonstrated that the expressions for the expected cycle time and the expected cycle cost are easier to obtain by the proposed approach than by adopting that in Collani, Saniga and Weigang (1994). Furthermore, this approach would be easily extended to derive the expected cycle cost and the expected cycle time for the case of multiple special causes or multiple control charts. A numerical example illustrates the proposed method and its application.

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Variational Autoencoder-based Assembly Feature Extraction Network for Rapid Learning of Reinforcement Learning (강화학습의 신속한 학습을 위한 변이형 오토인코더 기반의 조립 특징 추출 네트워크)

  • Jun-Wan Yun;Minwoo Na;Jae-Bok Song
    • The Journal of Korea Robotics Society
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    • v.18 no.3
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    • pp.352-357
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    • 2023
  • Since robotic assembly in an unstructured environment is very difficult with existing control methods, studies using artificial intelligence such as reinforcement learning have been conducted. However, since long-time operation of a robot for learning in the real environment adversely affects the robot, so a method to shorten the learning time is needed. To this end, a method based on a pre-trained neural network was proposed in this study. This method showed a learning speed about 3 times than the existing methods, and the stability of reward during learning was also increased. Furthermore, it can generate a more optimal policy than not using a pre-trained neural network. Using the proposed reinforcement learning-based assembly trajectory generator, 100 attempts were made to assemble the power connector within a random error of 4.53 mm in width and 3.13 mm in length, resulting in 100 successes.

A Study on the Influencing Factors of Forest Trail Guide's Organizational Commitment: Focused on the Job Motivation (숲길체험지도사의 조직몰입 영향 요인에 관한 연구: 직무동기를 중심으로)

  • Ha, Siyeon;Lee, Yeonhee;Eom, Munseol;Jang, Jin
    • Journal of Korean Society of Forest Science
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    • v.105 no.4
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    • pp.496-504
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    • 2016
  • As people's interest in forest trail increases, it has reached a critical time to extend forest trail program. This study clarifies correlation between two variables, organizational commitment and job motivation and identifies the variations in organizational commitment level for job motivation so that the forest trail programs attain its object and meet users' satisfaction. As a result, first, job motivation can be divided into 'personal satisfaction', 'work value', and 'external reward and recognition'; the biggest motivation is 'personal satisfaction', followed by 'work value' and 'external reward and recognition'. Second, job motivation has a positive correlation with organizational commitment. Especially 'personal satisfaction' and 'external reward and recognition' have a positive impact on the organizational commitment. To sum up, the personal satisfaction has a greater impact on organizational commitment than other factors. Therefore, it is needed to draw up measures to increase their personal satisfaction like making them have self esteem from forest trail guide.

A Review on the Relationship of the Life Salvage and its Remuneration (해상인명구조와 보상체계에 관한 고찰)

  • Lee, Jung-won
    • Journal of Legislation Research
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    • no.53
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    • pp.491-524
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    • 2017
  • Under the general maritime law, a life salvor has no claim against the person saved, and a pure life salvor has no right to compensation from the owner of the ship or its cargo. This harsh rule, which treats the salvor of life less generously than the salvor of property, has been modified by international conventions, statutes, so that life salvors may expect a reward in most cases. It is, especially, unreasonable that a prerequisite of a salvage award is that at least some of the property must be saved, because life of a person can not be compared to values of goods such as vessels and cargoes. Also it is not understandable that only pure life salvors can not expect a reward for the saving of life from the owners of the property. In the meantime, according to Article 39 of the Korean Maritime Search and Rescue Act (hereunder, KMSARA), any person who has gave assistance and rescued in accordance with a governmental officer's order may get a compensation for their time and labour. The above mentioned compensation which is stemmed from the KMSARA may play a role as a compliment for the lack of enough compensation to a life salvor. This means that even though a life salvor failed to save property, he may expect a minimum compensation from the KMSARA. However, it should be recognized that when a life salvor is entitled to both remuneration for the salvage of life and recourse of expenditures from the KMSARA, the total remuneration shall be paid only if and to the extent that such remuneration is greater than any reward recoverable by the salvor under the Korean Commercial Code and the KMSARA.

Trend Analysis of Fraudulent Claims by Long Term Care Institutions for the Elderly using Text Mining and BIGKinds (텍스트 마이닝과 빅카인즈를 활용한 노인장기요양기관 부당청구 동향 분석)

  • Youn, Ki-Hyok
    • Journal of Internet of Things and Convergence
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    • v.8 no.2
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    • pp.13-24
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    • 2022
  • In order to explore the context of fraudulent claims and the measures for preventing them targeting the long-term care institutions for the elderly, which is increasing every year in Korea, this study conducted the text mining analysis using the media report articles. The media report articles were collected from the news big data analysis system called 'BIG KINDS' for about 15 years from July 2008 when the Long-Term Care Insurance for the Elderly took effect, to February 28th 2022. During this period of time, total 2,627 articles were collected under keywords like 'elderly care+fraudulent claims' and 'long-term care+fraudulent claims', and among them, total 946 articles were selected after excluding overlapped articles. In the results of the text mining analysis in this study, first, the top 10 keywords mentioned in the highest frequency in every section(July 1st 2008-February 28th 2022) were shown in the order of long-term care institution for the elderly, fraudulent claims, National Health Insurance Service, Long-Term Care Insurance for the Elderly, long-term care benefits(expenses), elderly care facilities, The Ministry of Health & Welfare, the elderly, report, and reward(payment). Second, in the results of the N-gram analysis, they were shown in the order of long-term care benefits(expenses) and fraudulent claims, fraudulent claims and long-care institution for the elderly, falsehood and fraudulent claims, report and reward(payment), and long-term care institution for the elderly and report. Third, the analysis of TF-IDF was similar to the results of the frequency analysis while the rankings of report, reward(payment), and increase moved up. Based on such results of the analysis above, this study presented the future direction for the prevention of fraudulent claims of long-term care institutions for the elderly.

A Study of Factors that Influence Internet Addiction, Smoking, and Drinking in High School Students (고등학생의 인터넷 중독, 흡연, 음주에 영향을 미치는 요인 - 강원지역을 중심으로 -)

  • June, Kyung-Ja;Sohn, Shin-Young;So, Ae-Young;Yi, Ggod-Me;Park, Sun-Hee
    • Journal of Korean Academy of Nursing
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    • v.37 no.6
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    • pp.872-882
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    • 2007
  • Purpose: This study aimed at exploring relationships among Internet addiction, smoking, and drinking and examining the effect factors on Internet addiction, smoking and drinking. Methods: By using stratified sampling, 1,529 participants representing high school students in the Kangwon province were selected. Data was analyzed by SPSS 12.0. using ${\chi}^2$, Pearson correlation coefficient and multiple regression. Results: One-fifth of the total participants were at the mild or moderate stage of Internet addiction. Regarding smoking, 22.7% of male subjects and 4.5% of female subjects were current smokers. Regarding drinking, the percentages of subjects who drank alcohol once or twice per month were 53.5% of male students and 40.7% of female students. Internet addiction positively correlated with depression, novelty seeking, harm avoidance and reward dependence, Internet addiction negatively correlated with persistence, self-directness, cooperativeness, and self-transcendence. Significant factors affecting Internet addiction were depression, gender, novelty seeking, and self-transcendence. Important factors influencing smoking were drinking, gender, school type, satisfaction with school, novelty seeking, and reward dependence. Significant factors affecting drinking were smoking, novelty seeking, school type and ages. Conclusion: This study shows the necessity of developing and implementing effective intervention programs in order to prevent adolescents from experiencing Internet addiction and health risk behaviors.

SRN Hierarchical Modeling for Packet Retransmission and Channel Allocation in Wireless Networks (무선망에서 패킷 재전송과 채널할당 성능분석을 위한 SRN 계층 모델링)

  • 노철우
    • The KIPS Transactions:PartC
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    • v.8C no.1
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    • pp.97-104
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    • 2001
  • In this paper, we present a new hierarchical model for performance analysis of channel allocation and packet service protocol in wireless n network. The proposed hierarchical model consists of two parts : upper and lower layer models. The upper layer model is the structure state model representing the state of the channel allocation and call service. The lower layer model, which captures the performance of the system within a given structure state, is the wireless packet retransmission protocol model. These models are developed using SRN which is an modeling tool. SRN, an extension of stochastic Petri net, provides compact modeling facilities for system analysis. To get the performance index, appropriate reward rates are assigned to its SRN. Fixed point iteration is used to determine the model parameters that are not available directly as input. That is, the call service time of the upper model can be obtained by packet delay in the lower model, and the packet generation rates of the lower model come from call generation rates of the upper model.

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Analysis of Construction Dispute Cases Considering Reward Ratio Focused on Arbitration Cases of Korean Commercial Arbitration Board (보상비율을 고려한 건설사업 분쟁사례 분석 - 대한상사중재원 중재판정사례를 중심으로 -)

  • Ahn, SangHyun;Choi, Heeju;Yu, Jungho
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.4
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    • pp.48-56
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    • 2017
  • Construction Projects have many participants by characteristic, scale and contract. Those also have complicated communication structure. So, claim and dispute occur continuously for conflicting communication. In many claim and dispute cases, it usually occurs between builder and owner. Unfair practices by owners position cause main claim and dispute. This study analyses judgment type, cause and compensation ratio in korean commercial arbitration case and provides the dispute information for builder that has weak position by contract. It draws analysis information for managing and controlling dispute that order type, judgement type, cause and failure case. Using these analysis information, it hopes to help inducement of dispute agreement and save time and economic damage for builder during construction. It also hopes to rise construction completeness by providing dispute management information.

TREATMENT BARRIERS OF SPECIAL NEEDS PATIENTS - PART 1. CONSIDERATION FROM THE PERSPECTIVES OF SPECIAL CARE DENTISTS (장애인 구강진료 접근성 제약 - Part 1. 장애인 치과 의료진 측면에서의 고찰)

  • Chang, Juhea
    • The Journal of Korea Assosiation for Disability and Oral Health
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    • v.15 no.1
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    • pp.7-13
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    • 2019
  • The aim of this study was to clarify the barriers of dental treatment for special needs patients felt by dentists and to determine the dentist-related factors contributing to the obstacles in treatment planning and decision making. Questionnaires were distributed and responded by dentists working at five public-based special care clinics in South Korea. Factors divided into three parts (dentist demographics, clinical factors, and educational and administrational factors) were assessed and analyzed for correlations between dentist-related factors and dentist-felt burdens for special care treatment. Fisher's exact test and Chi-square test were used at the level of 0.05. A total of 34 dentists responded to the questionnaires. Almost all dentists had obstacles in the treatment of special needs patients in terms of the patients' lack of cooperation (94.1%), proxy communication with caregivers (94.1%), payment reward system (63.6%), deficient workforce (67.7%), and others. The longer dentists had been practicing for special needs patients, the more they were dissatisfied with the reward system and a longer time was spent for communication with patients and their caregivers (p<0.05). For specialists, more obstacles were experienced in treatment planning due to a deficiency in the clinical information obtained from their patients compared to general practitioners (p<0.05). A total of 82.4% of the respondents approved of mandatory educational programs for special care dentists. There were practitioner-based factors related to the amount of obstacles felt by special care dentists. To overcome the treatment barrier of special needs patients, in-depth education and training are required in special care dentistry.

An Empirical Analysis of the Active Use Paths induced by YouTube's Personalization Algorithm (유튜브의 개인화 알고리즘이 유도하는 적극이용 경로에 대한 실증분석)

  • Seung-Ju Bae
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.2
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    • pp.31-45
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    • 2023
  • This study deals with exploring qualitative steps and paths that appear as YouTube users' usage time increases quantitatively. For the study, I applied theories from psychology and neuroscience, subdivided the interval between the personalization algorithm of the recommendation system, and active use and analyzed the relationship between variables in this process. According to the theory behavioral model theory (FBM), variable reward, and dopamine addiction were applied. Personalization algorithms easy clicks as triggers according to associated content presentation functions in behavioral model theory (FBM). Variable rewards increase motivational effectiveness with unpredictability of the content you search, and dopamine nation is summarized as stimulating the dopaminergic nerve to continuously and actively consume content. This study is expected to make an academic and practical contribution in that it divides the purpose of use of content in the personalization algorithm and active use section into four stages from a psychological perspective: first use, reuse, continuous use, and active use, and analyzes the path.