• Title/Summary/Keyword: sense of time

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Industrial robot programming method utilizing the human learning capability (인간 학습을 이용한 산업용 로보트의 효율적 프로그래밍 방안)

  • 김성수;이종태
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.244-248
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    • 1996
  • Nowadays, most shop floors using industrial robots have many problems such as constructing robot workcell, generating robot arm moving trajectory, etc.. In the case of programming robot-arms for a specific task, shop operator commonly use the teach pendant to record the target position and determine the moving trajectory. However, such a teaching process may result in an inefficient trajectory in the sense of moving distance and joint angle fluctuation. Moreover, shop operators who have little knowledge about robot programming process need a lot of learning time and cost. The purpose of this paper is to propose a user friendly robot programming method to program robot-arms easily and efficiently for shop operator so that the programming time is reduced and a short and stable trajectory is obtained.

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Heuristic Algorithm for the Single-machine Scheduling with Periodic Maintenance (주기정비를 고려한 단일기계 일정계획을 위한 휴리스틱 알고리즘 설계)

  • Lee, Sang-Heon;Lee, In-Gu
    • Journal of Korean Institute of Industrial Engineers
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    • v.34 no.3
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    • pp.318-327
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    • 2008
  • This paper considers a single-machine scheduling problem with availability constraints. In many realistic situations, machines may not be always available due to various reasons such as maintenance, breakdown and repair. However, most literature on scheduling assume that the machines are available at all times. This paper deals with a single-machine scheduling problem with periodic maintenance. If the maintenance decision is made jointly with the job scheduling, the system will be more effective. The objective is to minimize the total completion time of jobs. This problem is proved to be NP-hard in the strong sense. The proposed breaking heuristic(BH) algorithm rule is established by some theorems and conditions. Our computational results show that the BH algorithm is much more efficient than existing heuristic.

CSMA/CD-TDM/SD Adaptive Control Scheme in Bus-type Integrated Date/Voice Local Atrea Networks (버스형 데이터/음성 공용 LAN에서의 CSMA/CD-TDM/SD 적응제어방식)

  • 황병문;최흥문
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.12 no.2
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    • pp.148-159
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    • 1987
  • This paper proposes CSMA/CD-TDM/SD(carrier sense multiple access/collision detection-time division multiplexing/silence detection) control scheme in bus type integrated data/voice local area networks. Simulation results show that this control scheme satisfies the lossless real-time constraints of the voice traffic and improves the data throughput-delay characteristics as compared to those of the CSMA/CD/MPD and the CSMA/CD-TDMA.

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A Study on the Identification of the EMG Signal in the Wavelet Transform Domain (웨이브렛 변환평면에서의 근전도신호 인식에 관한 연구)

  • 김종원;김성환
    • Journal of Biomedical Engineering Research
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    • v.15 no.3
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    • pp.305-316
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    • 1994
  • All physical data in the real world are nonstationary signals that have the time varying statistical characteristics. Although few algorithms suitable to process the nonstationary signals have ever been suggested, these are treated the nonstationary signals under the assumption that the nonstationary signal is a piece-wise stationary signal. Recently, statistical analysis algorithms for the nonstationary signal have concentrated so much interest. In this paper, nonstationary EMG signals are mapped onto the orthogonal wavelet transform domain so that the eigenvalue spread of its autocorrelation matrix could be more smaller than that in the time domain. Then the model in the wavelet transform domain and an algorithm to estimate the model parameters are suggested. Also, an test signal generated by a white gaussian noise and the EMG signal are identified, and the algorithm performance is considered in the sense of the mean square error and the evaluation parameters.

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HMM-based Adaptive Frequency-Hopping Cognitive Radio System to Reduce Interference Time and to Improve Throughput

  • Sohn, Sung-Hwan;Jang, Sung-Jeen;Kim, Jae-Moung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.4
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    • pp.475-490
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    • 2010
  • Cognitive Radio is an advanced enabling technology for the efficient utilization of vacant spectrum due to its ability to sense the spectrum environment. It is important to determine accurate spectrum utilization of the primary system in a cognitive radio environment. In order to define the spectrum utilization state, many CR systems use what is known as the quiet period (QP) method. However, even when using a QP, interference can occur. This causes reduced system throughput and contrary to the basic condition of cognitive radio. In order to reduce the interference time, a frequency-hopping algorithm is proposed here. Additionally, to complement the loss of throughput in the FH, a HMM-based channel prediction algorithm and a channel allocation algorithm is proposed. Simulations were conducted while varying several parameters. The findings show that the proposed algorithm outperforms conventional channel allocation algorithms.

Some models for rainfall focused on the inner correlation structure

  • Kim, Sangdan
    • Proceedings of the Korea Water Resources Association Conference
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    • 2004.05b
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    • pp.1290-1294
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    • 2004
  • In this study, new stochastic point rainfall models which can consider the correlation structure between rainfall intensity and duration are developed. In order to consider the negative and positive correlation simultaneously, the Gumbels type-II bivariate distribution is applied, and for the cluster structure of rainfall events, the Neyman-Scott cluster point process is selected. In the theoretical point of view, it is shown that the models considering the dependent structure between rainfall intensity and duration have slightly heavier tail autocorrelation functions than the corresponding independent mode]s. Results from generating long time rainfall events show that the dependent models better reproduce historical rainfall time series than the corresponding independent models in the sense of autocorrelation structures, zero rainfall probabilities and extreme rainfall events.

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WebReview : Web-Based Paper Review Support System (WebReview : 웹 기반 논문심사 지원 시스템)

  • Suh, Yong-Moo;Jeon, Geon-Ho
    • Asia pacific journal of information systems
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    • v.8 no.2
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    • pp.19-35
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    • 1998
  • There has been a complaint that current editorial and refereeing system of the traditional journal systems has something to be desired due to long time lag between submission and publication, improper(unfair in some sense, because no communication is allowed between reviewers and authors) review of submitted papers sometimes, and so on. This paper introduces a Web-Based Paper Review Support System, called WebReview, The system helps to reduce the time lag and allows reviewers and authors to communicate anonymously to clarify the research results, if there is any ambiguity. WebReview is implemented in Java, using Oracle as an underlying DBMS, to capture interactions between users and the system.

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Study on Subway Emergency System Based on Wireless Sensor Network (무선 센서 네트워크 기반의 지하철 응급 상황 조치 시스템에 관한 연구)

  • Choi, Ho-Jin;Park, Jong-An;Pyun, Jae-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.5
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    • pp.139-146
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    • 2008
  • Wireless sensor network-related application system can perform functions such as environmental pollution monitoring, building control, home automation in future. In this paper, we present wireless sensor network based system for subway station in order to reduce the damage of the people and the subway station due to fire. Sensor nodes in this system can sense temperature, illumination, smoke, and human body in real time and detect the accident in the subway station. These real-time sensing and wireless networking minimize casualties and damage to property.

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A Questionaire Analysis for the Vertigo as the prodrome of Stroke (뇌졸중(腦卒中) 전조증상(前兆症狀)으로서의 현훈(眩暈)에 대한 설문조사분석(設問調査分析))

  • Ko, Sung-Gyu;Yong, Hyung-Soon
    • The Journal of Internal Korean Medicine
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    • v.21 no.1
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    • pp.135-145
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    • 2000
  • Objective : This study has been made to analysis of clinical type of vertigo prodromic Cerebral Vascular Disease in stroke patients who admitted to sangji oriental hospital department of circulatoty internal medicine in the period from July. 1999 to October 1999. Methods : A Questionaire was done after explanationin details to patients and agreement of patients. The inquire was done as follows. Sex and age, risk factor of stroke, type of stroke, existence of vertigo last three years before stroke attack, the beginning age of vertigo and period of prevalence, frequency, continuance time of vertigo, predilection season and time, factor of causing vertigo, accompanying symptoms of vertigo, severity of vertigo. Result and Conclusion : The existence of Rotation sense(Rotation group and non-Rotation group) and the type of Stroke is no difference significantly but the Rotation vertigo group and non-Rotation vertigo group is difference significantly in distribution. The sixties in age of vertigo attack, previous vertigo before 3 year Stroke attack, irregular in predilection season of vertigo, have a high frequency significantly in distribution and previous period of vertigo has no significantly difference in distribution. One or two per a month in frequency of vertigo, below 5 minute in continuance time of vertigo, irregular in predilection time of vertigo, stand up and sit down in causing vertigo position have a high frequency significantly in distribution.

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Mathematical Model of Optimal Payouts under Non-linear Demand Curve

  • Won, Chaehwan
    • Management Science and Financial Engineering
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    • v.10 no.2
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    • pp.53-71
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    • 2004
  • In this study, a mathematical model that shows the optimal payout policy is developed. The model is new and unique in the sense that not only continuous-time framework is used, but also both partial differential equation (PDE) and real-option approach are utilized in the derivation of optimal payouts for the first time. In the model building, non-linear demand curve for dividend payouts in the competitive capital markets is assumed. From the sensitivity analysis using traditional comparative static analysis, some useful managerial implications which are consistent with famous previous studies are derived under realistic conditions. All results in this study, however, are valid under the assumption that the opportunity costs follow geometric Brownian motion, which is widely used in economic science and finance literature.