• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.283-284
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• 2019

In the last decades patient's suffering with Parkinson's disease is increasing at a rapid rate and as per prediction it will grow more rapidly as old age population is increasing at a rapid rate through out the world. As the performance of wearable sensor based approach reached to a new height as well as powerful machine learning technique provides more accurate result these combination has been widely used for assessment of various neurological diseases. ON state is the state where the effect of medicine is present and OFF state the effect of medicine is reduced or not present at all. Classification of ON/OFF state for the Parkinson's disease is important because the patients could injure them self due to freezing of gait and gait related problems in the OFF state. in this paper wearable sensor based approach has been used to collect the data in ON and OFF state and machine learning techniques are used to automate the classification based on the gait pattern. Supervised machine learning techniques able to provide 97.6% accuracy while classifying the ON/OFF state.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4950-4966
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• 2015

Cloud providers now face the problem of estimating the amount of computing resources required to satisfy a future workload. In this paper, a virtual machine provisioning (VMP) mechanism is designed to adapt workload fluctuation. The arrival rate of forthcoming jobs is predicted for acquiring the proper service rate by adopting an exponential smoothing (ES) method. The proper service rate is estimated to guarantee the service level agreement (SLA) constraints by using a diffusion approximation statistical model. The VMP problem is formulated as a facility location problem. Furthermore, it is characterized as the maximization of submodular function subject to the matroid constraints. A greedy-based VMP algorithm is designed to obtain the optimal virtual machine provision pattern. Simulation results illustrate that the proposed mechanism could increase the average profit efficiently without incurring significant quality of service (QoS) violations.

• 한국컴퓨터정보학회논문지
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• 제16권5호
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• pp.127-134
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• 2011

화면을 모니터링하고 있는 시스템에서 사용자가 시선을 화면에 집중하고 있는가를 판단하고 제어할 수 있는 유한 상태 기계를 설계 및 구현하였다. 유한 상태 기계는 화면을 응시하고 있는 눈동자의 상황에 대한 집합과 화면에 집중하고 있는 상태의 집합을 이를 기반으로 구성되었다. 특히 상태 집합을 3종류-주요 상태, 예비 상태, 잠재 상태로 분류하였다. 이전의 상황과 현재의 상황을 연계하여 현 상태를 판단하는 상황 이력을 이용함으로써 판단의 정확도를 높였다. 이 유한 상태 기계에 대하여, 기존의 눈동자 검출 방법에서 얻은 눈동자 위치 데이터를 이용하여 시뮬레이터를 구현하고 작동과정의 모니터링을 통하여 검증하였다. 실제 눈동자의 이미지를 바탕으로 실험한 결과로 상황 이력을 이용한 판정은 현재의 응시 상태가 1회성 또는 장기적인 상태인가를 판단할 수 있는 장점을 보였다.

• 한국정밀공학회지
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• 제19권11호
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• pp.167-173
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• 2002

The look up table method conventionally applied to control the inner temperature and humidity of a laver drying machine has repeatedly occurred not only laver's damage but also inferior goods since the reaching time at the optimum state takes a long time. In this paper, a fuzzy control theory instead of the look up table was proposed to reduce the reaching time at the optimum state. The proposed method used six input variables and four output variables for the fuzzy control, and a triangle rule for a fuzzifier, The Mandani's min-max method was applied to a fuzzy inference. Also, the mean method of maximum was applied to a defuzzifier. The method applied to the fuzzy controller contributed to reduce the reaching time at the optimum state, and to minimize not only laver's damage but also inferior goods.

• Transactions on Control, Automation and Systems Engineering
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• 제1권2호
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• pp.113-120
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• 1999

One of the important challenges facing control engineers in developing automated machineryis to be able to monitor the machines using remote sensors. Observrs are often used to reconstruct the machine variables of interest. However, conventional observers are unalbe to observe the machine variables when the machine models, upon which the observers are based, have inputs that cannot be measured. Since this is often the case, the authors previsously developed a steady-state optimal state and input observer for time-invariant systems [1], this paper extends that work to time-variant systems. A recursive observer, similar to a Kalman-Bucy filter, is developed . This optimal observer minimizes the trace of the error variance for discrete , linear , time-variant, stochastic systems with unknown inputs.

• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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• pp.389-390
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• 2019

최근 블록체인 기반의 어플리케이션이 증가하고 이들을 위한 스마트 컨트랙트가 설계상 오류로 부적절하게 사용될 가능성이 증대되고 있다. 따라서 스마트 컨트랙트의 설계를 보다 안전하게 지원할 수 있는 방안이 필요한 실정이다. 본 논문에서는 State machine을 이용하여 이더리움 스마트 컨트랙트의 기능사용을 보다 안전하게 지원하기 위한 기법을 제안한다. 제안된 기법은 전체 동작의 흐름의 제어하기 위한 Transition Contract와 각각 상태에 대한 스마트 컨트랙트인 State Contract를 이용하여 스마트 컨트랙트의 동작과정을 제어한다.

• Asia pacific journal of information systems
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• 제31권2호
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• pp.185-196
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• 2021

The paper aims to analyze and predict sales of liquor in the state of Iowa by applying machine learning algorithms to models built for prediction. We have taken recourse of Azure ML and Spark ML for our predictive analysis, which is legacy machine learning (ML) systems and Big Data ML, respectively. We have worked on the Iowa liquor sales dataset comprising of records from 2012 to 2019 in 24 columns and approximately 1.8 million rows. We have concluded by comparing the models with different algorithms applied and their accuracy in predicting the sales using both Azure ML and Spark ML. We find that the Linear Regression model has the highest precision and Decision Forest Regression has the fastest computing time with the sample data set using the legacy Azure ML systems. Decision Tree Regression model in Spark ML has the highest accuracy with the quickest computing time for the entire data set using the Big Data Spark systems.

• Journal of applied mathematics & informatics
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• 제8권1호
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• pp.273-283
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• 2001

We introduce sums and joins of T-fuzzy transformation semi-groups and investigate their algebraic structures.

• Journal of Electrical Engineering and Technology
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• 제13권3호
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• pp.1285-1293
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• 2018

This paper proposes a new type of consequent-pole permanent-magnet (CPPM) machine with stator axial magnetic ring that increases torque capability over a wide speed range and enhances efficiency for the built-in rare-earth permanent magnet synchronous machine used in new energy vehicles. The excitation winding of the CPPM hybrid excitation synchronous machine in the stator is replaced by ferrite magnetic ring to simplify the structure and manufacturing process of the machine. The basic structure and magnetic regulation principle of the proposed machine are introduced and compared with the traditional interior rare-earth permanent magnet synchronous machine and CPPM hybrid excitation synchronous machine. Finally, experimental results of a new type of CPPM synchronous motor prototype with axial magnetic ring are introduced in the paper.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
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• pp.425-430
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• 1986

This paper introduces the program to develop graphics-oriented, interactive, computer-aided design modules for machine elements which are developing in Mechanical Engineering Department of The Ohio State University in U.S.A. The CAD modules are developed to be efficiently performed within the arena of minicomputer- and personal computer-based computer-aided design. In addition, this paepr deals with the state-of-the-art in computer-aided design.