• 제목/요약/키워드: Self-Adaptive

검색결과 573건 처리시간 0.026초

병원직종별 이직의도에 관련된 영향요인 (Factors affecting the turnover intention of hospital employees by job category)

  • 김영배;김원중;황인경;이기효;손태용
    • 한국병원경영학회지
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    • 제4권1호
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    • pp.21-40
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    • 1999
  • This study attempts to analyze the relationship between various job-related factors and the intent to turnover of employees working at different types of hospitals/clinics in urban and rural areas. The data was compiled from 1,506 employees in 21 hospitals and 10 clinics located in Kyung-gi Do. Korea, using a self-administered questionnaire. Major findings are as follows: 1) The intent to turnover was higher for the employees of small hospitals located in rural areas. It was also higher when the employees were less than 30 in age, female, single, had not received college education, and had worked for 2-5 years in their hospitals. 2) An important factor affecting the intent to turnover was job satisfaction, which in turn had a strong correlation with the job itself(opportunity of utilizing abilities and skills, subjective value attached to the current job, sense of accomplishment) and had a rather weak correlation with salary, supervision, promotion and co-worker relationship. 3) In the analysis by job category, it was found that, besides job satisfaction, the intent to turnover was significantly affected by the job itself in case of administrative personnel and by the level of salary in case of nurses. 4) For a successful management of turnover, hospitals need to develop (a) programs for improving adaptive abilities of 'new' employees(who have worked for less than 2 years), and (b) for the other employees(who have worked for more than 2 years), strategies for enhancing job satisfaction by providing the environment where they can show their maximum abilities.

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An Evaluation of Multiple-input Dual-output Run-to-Run Control Scheme for Semiconductor Manufacturing

  • Fan, Shu-Kai-S.;Lin, Yen
    • Industrial Engineering and Management Systems
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    • 제4권1호
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    • pp.54-67
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    • 2005
  • This paper provides an evaluation of an optimization-based, multiple-input double-output (MIDO) run-to-run (R2R) control scheme for general semiconductor manufacturing processes. The controller in this research, termed adaptive dual response optimizing controller (ADROC), can serve as a process optimizer as well as a recipe regulator between consecutive runs of wafer fabrication. In evaluation, it is assumed that the equipment model could be appropriately described by a pair of second-order polynomial functions in terms of a set of controllable variables. Of practical relevance is to consider a drifting effect in the equipment model since in common semiconductor practice the process tends to drift due to machine aging and tool wearing. We select a typical application of R2R control to chemical mechanical planarization (CMP) in semiconductor manufacturing in this evaluation, and there are five different CMP process scenarios demonstrated, including mean shift, variance increase, and IMA disturbances. For the controller, ADROC, an on-line estimation technique is implemented in a self-tuning (ST) control manner for the adaptation purpose. Subsequently, an ad hoc global optimization algorithm based on the dual response approach, arising from the response surface methodology (RSM) literature, is used to seek the optimum recipe within the acceptability region for the execution of next run. The main components of ADROC are described and its control performance is assessed. It reveals from the evaluation that ADROC can provide excellent control actions for the MIDO R2R situations even though the process exhibits complicated, nonlinear interaction effects between control variables, and the drifting disturbances.

P2P 환경에서 실시간 미디어스트리밍의 전송에 관한 연구 (A study of real-time media streaming delivery over P2P networks)

  • 유욱동;조인준
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2006년도 춘계종합학술대회
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    • pp.538-541
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    • 2006
  • 실시간 멀티미디어 전송을 위한 P2P환경에서 미디어스트리밍에 관련연구가 진행 중이다. 그러나 P2P망에서 구현한 노드의 이질성, 불안정성 및 미디어스트리밍 데이터의 실시간성 등 특징을 존재하는 것은 미디어 데이터의 품질에 대해 영향이 크다. 따라서 어떤 구조한 P2P 네트워크는 미디어스트리밍 시스템에 대해 더 좋은 것이 중요한 문제를 되었다. 본 논문에서는 P2P 미디어스트리밍 모델인 PCSA(Peers Capability Self-Adaptive)를 제안하였다. 이 모델에서는 노드의 성능에 의한 반 구조화(Half-Structure)의 P2P 오버레이 프로토콜을 구성하여 능동적인 콘텐츠를 확산한 기법을 포함한다. 노드는 자신 성능에 의하여 정보를 수집할 수 있는 기법에 의하여 검색 메시지의 수량은 감소될 수 있으나 고효율의 콘텐츠 검색을 실현하였다. 미디어스트리밍의 서비스 품질을 대한 멀티 소스에 의한 데이터 스케줄(Scheduling) 기법은 미디어 데이터 품질을 향상시킬 수 있다.

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소방공무원의 스트레스 및 우울의 위험 요인 : 개인 및 직무요인을 중심으로 (Risk Factors for Stress and Depression in Firefighters : Comparison of Individual and Job Related Factors)

  • 이나빈;이정현;김지애;전경선;심민영
    • 대한불안의학회지
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    • 제15권1호
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    • pp.35-44
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    • 2019
  • Objective : The aim of this study was to investigate the individual and job related factors as risk factors for mental health of firefighters. Methods : The data of 202 fire-fighters was analyzed by using a multinomial logistic regression analysis. All participants completed self-reported questionnaires including demographics (sex, age, work duration), the Childhood Trauma Questionnaire, the Ways of Coping Checklist, the Colleague related traumatic events, the Korean occupational stress scale, the Korean Perceived Stress Scale-10, and the Beck Depression Inventory. Participants were divided into three groups according to the level of stress and depressive symptom scores: Low Stress-Low Depression (LS-LD), High Stress-Low Depression (HS-LD), and High Stress-High Depression (HS-HD). Results : A job related factor-organizational injustice-was a significant factor related to HS-LD, while individual factors such as active coping level and childhood trauma experience and a job related factor-difficult physical environment-were significantly associated with HS-HD. Conclusion : These results imply the need to take both individual and environmental approaches into account when managing the stress and depression of firefighters. More specifically, psycho-education to facilitate active coping strategy and adaptive emotional regulation at the individual level and the improvement of physical work environment of firefighters should be supported.

Intrusion Detection System Modeling Based on Learning from Network Traffic Data

  • Midzic, Admir;Avdagic, Zikrija;Omanovic, Samir
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5568-5587
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    • 2018
  • This research uses artificial intelligence methods for computer network intrusion detection system modeling. Primary classification is done using self-organized maps (SOM) in two levels, while the secondary classification of ambiguous data is done using Sugeno type Fuzzy Inference System (FIS). FIS is created by using Adaptive Neuro-Fuzzy Inference System (ANFIS). The main challenge for this system was to successfully detect attacks that are either unknown or that are represented by very small percentage of samples in training dataset. Improved algorithm for SOMs in second layer and for the FIS creation is developed for this purpose. Number of clusters in the second SOM layer is optimized by using our improved algorithm to minimize amount of ambiguous data forwarded to FIS. FIS is created using ANFIS that was built on ambiguous training dataset clustered by another SOM (which size is determined dynamically). Proposed hybrid model is created and tested using NSL KDD dataset. For our research, NSL KDD is especially interesting in terms of class distribution (overlapping). Objectives of this research were: to successfully detect intrusions represented in data with small percentage of the total traffic during early detection stages, to successfully deal with overlapping data (separate ambiguous data), to maximize detection rate (DR) and minimize false alarm rate (FAR). Proposed hybrid model with test data achieved acceptable DR value 0.8883 and FAR value 0.2415. The objectives were successfully achieved as it is presented (compared with the similar researches on NSL KDD dataset). Proposed model can be used not only in further research related to this domain, but also in other research areas.

Application of Information Technologies for Lifelong Learning

  • Poplavskyi, Mykhailo;Bondar, Ihor
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.304-311
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    • 2021
  • The relevance of the research involves outlining the need for modern professionals to acquire new competencies. In the conditions of rapid civilizational progress, in order to meet the requirements of the labor market in the knowledge society, there is a readiness for continuous training as an indicator of professional success. The purpose of the research is to identify the impact of various forms of application of information technologies for lifelong learning in order to provide the continuous self-development of each person without cultural or age restrictions and on the basis of rapid digital progress. A high level (96%) of need of the adult population in continuing education with the use of digital technologies has been established. The most effective ways to implement the concept of "lifelong learning" have been identified (educational camps, lifelong learning, mass open online courses, Makerspace activities, portfolio use, use of emoji, casual game, scientific research with iVR game, implementation of digital games, work in scientific cafes). 2 basic objectives of continuing professional education for adults have been outlined (continuous improvement of qualifications and obtaining new qualifications). The features of ICT application in adult education have been investigated by using the following methods, namely: flexibility in terms of easy access to ideas, solving various problems, orientation approach, functional learning, group or individual learning, integration of leisure, personal and professional activities, gamification. The advantages of application of information technologies for continuous education (economic, time, and adaptive) have been revealed. The concept of continuous adult learning in the context of digitalization has been concluded. The research provides a description of the structural principles of the concept of additional education; a system of information requests of the applicant, as well as basic technologies for lifelong learning. The research indicates the lack of comprehensive research in the relevant field. The practical significance of the research results lies in the possibility of using the obtained results for a wider acquaintance of the adult population with the importance of the application of lifelong learning for professional activities and the introduction of methods for its implementation in the educational policy of the state.

지하수 리질리언스의 정량적 평가 방안 (Suggestion of Quantitative Assessment of Groundwater Resilience)

  • 유순영;김호림;윤성택;류동우;염병우
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제26권5호
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    • pp.60-76
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    • 2021
  • The concept of resilience seems applicable for sustainable groundwater management. The resilience is broadly defined as the ability of a system to resist changes by external forces (EFs), and has been used for disaster management and climate change adaptation, including the groundwater resilience to climate change in countries where groundwater is a major water resource, whereas not yet in the geological society of South Korea. The resilience is qualitatively assessed using the absorptive, adaptive, and restorative capacity representing the internal robustness, self-organization, and external recovery resources, respectively, while quantitatively using the system impact (SI) and recovery effort (RE). When the groundwater is considered a complicated system where physicochemical, biological, and geological components interact, the groundwater resilience can be defined as the ability of groundwater to maintain the targeted quality and quantity at any EFs. For the quantitative assessment, however, the resilience should be specified to an EF and measurable parameters should be available for SI and RE. This study focused on groundwater resilience to two EFs in urban areas, i.e., pollution due to land use change and groundwater withdrawal for underground structures. The resilience to each EF was assessed using qualitative components, while measurements for SI and RE were discussed.

PISA 설문에서 나타난 한국 과학교사들의 인식: 미국, 중국과 비교를 중심으로 (Korean Science Teachers' Perceptions in PISA Survey: Focusing on Comparison with the United States and China)

  • 김현정
    • 대한화학회지
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    • 제66권1호
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    • pp.31-41
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    • 2022
  • 이 연구는 PISA 2015에서 실시한 과학교사 설문을 분석하여 향후 한국 과학교육을 위한 시사점을 도출하는 것을 목적으로 하였다. 이를 위해 한국, 미국, 중국의 과학교사 설문 원자료를 분석하여, 설문 항목별로 기술통계와 차이 검정을 실시하였다. 연구 결과는 다음과 같다. 첫째, 한국 과학교사는 전문성 계발 활동에 의무적으로 참여해야 한다는 인식이 비교국들에 비해 낮았고, 학생 맞춤형 지도 방법과 다양한 평가 방법의 실제 등에서 개선이 필요한 것으로 나타났다. 둘째, 한국 과학교사는 대체로 교직에는 만족하고 있었으나, 현재 근무하는 학교에서 여러 가지 자원의 제한으로 과학교육 활동에 지장을 받는다는 응답이 비교국에 비해 상대적으로 높았다. 셋째, 한국은 과학 교육과정과 과학 수업에서 과학 탐구가 덜 강조되고 있었으며, 탐구의 교수과정에서 과학교사의 자기 효능감도 상대적으로 낮게 나타났다. 넷째, 한국은 과학 수업에서 토의와 토론 수업, ICT 활용 수업 등이 적게 이루어지는 것으로 나타났다.

실시간 3차원 객체 검출을 위한 포인트 클라우드 기반 딥러닝 모델 경량화 (Lightweight Deep Learning Model for Real-Time 3D Object Detection in Point Clouds)

  • 김규민;백중환;김희영
    • 한국정보통신학회논문지
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    • 제26권9호
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    • pp.1330-1339
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    • 2022
  • 3D 물체검출은 대체로 자동차, 버스, 사람, 가구 등과 같은 비교적 크기가 큰 데이터를 검출하는 것을 목표로 두어 작은 객체 검출에는 취약하다. 또한, 임베디드 기기와 같은 자원이 제한적인 환경에서는 방대한 연산량 때문에 모델의 적용이 어렵다. 본 논문에서는 1개의 레이어만을 사용하여 로컬 특징에 중점을 두어 작은 객체 검출의 정확도를 높였으며, 제안한 사전 학습된 큰 네트워크에서 작은 네트워크로의 지식 증류법과 파라미터 크기에 따른 적응적 양자화를 통해 추론 속도를 향상시켰다. 제안 모델은 SUN RGB-D Val 와 자체 제작한 모형 사과나무 데이터 셋을 이용하여 성능을 평가하였고 최종적으로 mAP@0.25에서 62.04%, mAP@0.5에서 47.1%의 정확도 성능을 보였으며, 추론 속도는 120.5 scenes per sec로 빠른 실시간 처리속도를 보였다.

라쉬 모델을 사용한 본초학 시험의 학업역량 분석 연구 (Study on the Academic Competency Assessment of Herbology Test using Rasch Model)

  • 채한;이수진;한창호;조영일;김형우
    • 대한한의학회지
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    • 제43권2호
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    • pp.27-41
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    • 2022
  • Objectives: There should be an objective analysis on the academic competency for incorporating Computer-based Test (CBT) in the education of traditional Korean medicine (TKM). However, the Item Response Theory (IRT) for analyzing latent competency has not been introduced for its difficulty in calculation, interpretation and utilization. Methods: The current study analyzed responses of 390 students of 8 years to the herbology test with 14 items by utilizing Rasch model, and the characteristics of test and items were evaluated by using characteristic curve, information curve, difficulty, academic competency, and test score. The academic competency of the students across gender and years were presented with scale characteristic curve, Kernel density map, and Wright map, and examined based on T-test and ANOVA. Results: The estimated item, test, and ability parameters based on Rasch model provided reliable information on academic competency, and organized insights on students, test and items not available with test score calculated by the summation of item scores. The test showed acceptable validity for analyzing academic competency, but some of items revealed difficulty parameters to be modified with Wright map. The gender difference was not distinctive, however the differences between test years were obvious with Kernel density map. Conclusion: The current study analyzed the responses in the herbology test for measuring academic competency in the education of TKM using Rasch model, and structured analysis for competency-based Teaching in the e-learning era was suggested. It would provide the foundation for the learning analytics essential for self-directed learning and competency adaptive learning in TKM.