• Title/Summary/Keyword: Performance level of difficulty

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Variation of Psychophysiological Characteristics Related with Human Errors during a Simple Pointing Task (단순 지적과업 중 인간과오 관련 심리생리학적 특성의 변화)

  • Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.24 no.3
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    • pp.71-78
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    • 2009
  • During a learning process, a human being is assumed to experience knowledge-based behaviors, rule-based behaviors, and skill-based behaviors sequentially if Rasmussen was right. If any psycho-physiological symptom to those different levels can be obtained, it can be useful as a measure whether a human being is fully trained and has gotten a skill in his work. Therefore, this study aimed to draw relationships between human performance measures and psycho-physiological measures while committing a computer-simulated pointing task by utilizing the power spectrum technique of EEG data, especially with the ratio of relative beta-to-alpha band power. The result showed that, during correct responses, the ratio came to stabilize as all the performance data went stable. However, response time was not a simple linear function of task difficulty level only, but a joint function of task characteristics as well as behavior levels. Comparing relative band power ratios from errors and correct responses, activated states of one's brain could be explained, and characteristics of the task could understood. To tell that of pointing task, correlations around C3, C4, P3, P4 and 01, 02 area were significant and high in correct response cases whereas most correlation coefficients went down in error cases standing for imbalance of psycho-motor functions. Though task difficulty was the only one factor that could influence on relative band power ratio with statistical significance, it should be comprehended to mean a different way of expression indicating task characteristics since at least error-some situation could be explained with the help of relative band power ratio that absolute band power failed.

Analysis User's Business Performance in Medium and Small Enterprises Information System (중소기업 정보시스템 사용자 업무성과 분석)

  • Kim, Dong-Il;Choi, Seung-Il
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.2
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    • pp.447-454
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    • 2009
  • This study investigates to information medium and small enterprises and analyzed how enterprise's integration information system affects to business users. Many medium and small enterprises are introducing and operate new integrated system for latest several years, but it is suffering difficulty in substantial business analysis as unstable system, maintenance and insufficiency of management controls. Therefore, in this study, tried to analyze common problem and solution to enterprise which is operating integration information system stably. Designed study model and research hypothesis to variable of information level, system availability, information availability, information creation level, service availabilities for this analysis. This studγ got conclusion as following. First, If system usefulness, information usefulness, information creation level, service usefulness are high, Analysis result about user business performance appeared very positive effect. Second, Analyzed to which lack a little user realization about information level in details measured variable. This study will be able to become data that is useful in stable system introduction in various field of industry of medium and small enterprises hereafter.

A Study on Performance of Retail Store: Focused on Convenience Store

  • Kim, Young-Ei
    • Journal of Distribution Science
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    • v.15 no.2
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    • pp.47-51
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    • 2017
  • Purpose - The purpose of the study was to find out factors having influence upon management of franchise convenience stores being distribution business by interview with franchisees in accordance with Delphi method and to investigate marketing strategy of increase income. Research design, data, and methodology - This study investigated not only franchisees but also head office's franchise consultants of convenience stores carefully by Delta technique to suggest actual solutions of practice and to be different from precedent studies. Delphi method's interview and questionnaire were used to investigate performance of franchisees. 120 franchisees were interviewed to consist of men and women. Results - FC visited franchise stores to investigate: Franchisees thought of keeping of exact information on commodity information and sales promotion events, and admitted of franchiser's effort of growth and development of stores and improper visit frequency of stores and low effort of solving of difficulty of franchisees. Conclusions - More than 80% of the franchisees cognized more than 70% of performance upon request of ordering from headquarters: Not only franchisees but also headquarters need to lessen gap of difference of cognition. Franchise headquarters was thought to give services below than common level, and service manual and operation manual were thought to be high. Headquarters need to give practical support service.

Multi-level Thresholding using Fuzzy Clustering Algorithm in Local Entropy-based Transition Region (지역적 엔트로피 기반 전이 영역에서 퍼지 클러스터링 알고리즘을 이용한 Multi-Level Thresholding)

  • Oh, Jun-Taek;Kim, Bo-Ram;Kim, Wook-Hyun
    • The KIPS Transactions:PartB
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    • v.12B no.5 s.101
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    • pp.587-594
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    • 2005
  • This paper proposes a multi-level thresholding method for image segmentation using fuzzy clustering algorithm in transition region. Most of threshold-based image segmentation methods determine thresholds based on the histogram distribution of a given image. Therefore, the methods have difficulty in determining thresholds for real-image, which has a complex and undistinguished distribution, and demand much computational time and memory size. To solve these problems, we determine thresholds for real-image using fuzzy clustering algorithm after extracting transition region consisting of essential and important components in image. Transition region is extracted based on Inか entropy, which is robust to noise and is well-known as a tool that describes image information. And fuzzy clustering algorithm can determine optimal thresholds for real-image and be easily extended to multi-level thresholding. The experimental results demonstrate the effectiveness of the proposed method for performance.

Influence of Stress Experience on Change of Attention (스트레스 사건의 경험이 주의변화에 미치는 영향)

  • 최남희;이남희;김희숙
    • Journal of Korean Academy of Nursing
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    • v.20 no.2
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    • pp.214-226
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    • 1990
  • For a man to maintain attention, he needs to keep a certain level of arousal. An inordinate increase or decrease in the level of arousal eventually has a negative influence on attention. Precedent research has shown that the degree of attention changes when an experience of stress is related to anxiety resulting in a rise in arousal. This research was done to examine this hypothesis by looking at the 27 female students, 14 of whom had failed in the annual examination. The results of the investigation are as follows : The stress of failure in the examination was seen to raise the level of physiological arousal. Although pulse and electromyography showed no significant change, further inquiries should be made based on other types of methodology. In spite of the rise of arousal, the performance of selective task was degraded. This suggests those students failed to give moderate attention to given information for that kind of task. But the exact reason of that failure was not identified : that is it was difficult decide whether they gave too much attention to the anxiety brought about by stress. Performance of integral tasks, however, did not show any degradation. Judging from these results, stress seems to exert significant influence on attention in the selection of the appropriate information among the various options given. This offers an important hint in relation to the health care situation where nursing information is offered. Clients who receive nursing information in stressful situations may have difficulty in separating and selecting this helpful information from other options which they have acquired through their life experience. The content and terminology of nursing information may be strange and unintelligible to clients, although they are quite familiar and distinct to nurses. So, it is desirable for nurses to give, in addition and at the same time when nursing information is given, some certain related information as devices for selection, instead of merely giving nursing informations as such. So far it is not clear whether the concepts of information processing theory can be suitably applied to nursing. However, it is obvious, according to this research, that the quality of attention is disturbed in the stress situation. This is why further inquiries should be made into attention in practical nursing situation.

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Development of the Automatic Fine Polishing System (경면 다듬질을 위한 자동화 장치 개발)

  • 박균명;장진희;한창수
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1993.10a
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    • pp.389-394
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    • 1993
  • Die making process is classified into design,manufacturing,polishing,assembly, and performance test. Die polishing is not a machining process by cutting edge of tool, but it is finishing by relative cutting movement under the surface contact between grinding particles and workpiece, and this process comprised 30~40% of total manufacturing hours. However, die polishing process is still performed by the skilled workers. Now a days, it is very difficult to secure skilled workers due to the hardworking environment and this situation will be getting worse in the future which has great difficulty of dies and molds industries.This process has the common problem on the elimination of tedious manual polishing among the tool making industries. Therefore this study is aimed at the development of an automatic polishing attachment which could be attached onthe spindle of CNC machine tool and controlled by the NC program data created by CAD/CAM system. As a result, this study will contribute the realization of automatic fine polishing process and improvement of quality level of dies and molds.

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Application of Learning Control for U-type Tuned Liquid Damper System (U자형 TLD시스템에 대한 학습제어 적용)

  • Ga, Chun-Sik;Ryu, Yeong-Soon
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.11
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    • pp.1656-1663
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    • 2004
  • As the structures become larger, higher and more complicated, the demand for safety level has increased. In recent years, TLD(Tuned Liquid Damper) proved to be a successful control tool for reducing structural vibrations. For this reason, the influence of some key parameters of the U-type TLD on the dynamic response is studied. And simple and effectively developed learning control logic is used to control vibration of U type Tuned Liquid Damper system. The purpose of this paper is design optimal control system to deal with unknown errors from non linearity and variation that cost modeling difficulty in complex structure and is followed with the desired behavior. Finally this hybrid control method applied to U type Tuned Liquid Damper structure gives the benefit from better performance of precision and stability of the structure by reducing vibration effect. This research leads to safety design in various structure to robust unspecified foreign disturbances such as windy-load and earthquake.

Development of Improved Fabrication Methods for 2-axis Electrically Levitated MEMS Gyroscope (2축 정전부양형 MEMS 자이로스코프의 향상된 제작 공정 개발)

  • Seok, Seyeong;Lim, Geunbae
    • Journal of Sensor Science and Technology
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    • v.24 no.4
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    • pp.274-279
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    • 2015
  • This paper describes optimizing fabrication methods for 2-axis electrically levitated MEMS gyroscope. Electrostatically levitated gyroscope has very high potential of performance due to the fact that its proof mass is not mechanically bound to any other structures, but its complex structure and difficulty of fabrication holds back the research that only a few researches have been reported. In this work, fabrication method for glass-silicon-glass 3-floor structure for 2-axis electrically levitated MEMS gyroscope is presented, including simplified multi-level glass etch method utilizing photoresist attack, preventing metal diffusion by adding middle layer of metal electrode, overcoming Deep RIE limitation by separate fabrication of silicon structures and keeping the electrode safe from dicing debris.

Parallel Structure Modeling of Nonlinear Process Using Clustering Method (클러스터링 기법을 이용한 비선형 공정의 병렬구조 모델링)

  • 박춘성;최재호;오성권;안태천
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.383-386
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    • 1997
  • In this paper, We proposed a parallel structure of the Neural Network model to nonlinear complex system. Neural Network was used as basic model which has learning ability and high tolerence level. This paper, we used Neural Network which has BP(Error Back Propagation Algorithm) model. But it sometimes has difficulty to append characteristic of input data to nonlinear system. So that, I used HCM(hard c-Means) method of clustering technique to append property of input data. Clustering Algorithms are used extensively not only to organized categorize data, but are also useful for data compression and model construction. Gas furance, a sewage treatment process are used to evaluate the performance of the proposed model and then obtained higher accuracy than other previous medels.

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Elongated Radial Basis Function for Nonlinear Representation of Face Data

  • Kim, Sang-Ki;Yu, Sun-Jin;Lee, Sang-Youn
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.7C
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    • pp.428-434
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    • 2011
  • Recently, subspace analysis has raised its performance to a higher level through the adoption of kernel-based nonlinearity. Especially, the radial basis function, based on its nonparametric nature, has shown promising results in face recognition. However, due to the endemic small sample size problem of face data, the conventional kernel-based feature extraction methods have difficulty in data representation. In this paper, we introduce a novel variant of the RBF kernel to alleviate this problem. By adopting the concept of the nearest feature line classifier, we show both effectiveness and generalizability of the proposed method, particularly regarding the small sample size issue.