• Title/Summary/Keyword: Total Least Squares

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Functional Separation of Myoelectric Signal of Human Arm Movements Using Time Series Analysis (시계열 해석을 이용한 팔운동 근전신호의 기능분리)

  • 홍성우;남문현
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.9
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    • pp.1051-1059
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    • 1992
  • In this paper, two general methods using time-series analysis in the functional separation of the myoelectric signal of human arm movements are developed. Autocorrelation, covariance method and sequential least squares algorithm were used to determine the model parameters and the order of signal model to describe six arm movement patterns` the forearm flexion and extension, the wrist pronation and supination, rotation-in and rotation-out. The confidence interval to classify the functions of arm movement was defined by the mean and standard deviation of total squared error. With the error signals of autoregressive(AR) model, the result showed that the highest success rate was obtained in the case of 4th order, and success rate was decreased with increase of order. Autocorrelation was the method of choice for better success rate. This technique might be applied to biomedical and rehabilitation engineering.

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The research of new algorithm to improve prediction accuracy of recommender system in electronic commercey

  • Kim, Sun-Ok
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.1
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    • pp.185-194
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    • 2010
  • In recommender systems which are used widely at e-commerce, collaborative filtering needs the information of user-ratings and neighbor user-ratings. These are an important value for recommendation in recommender systems. We investigate the in-formation of rating in NBCFA (neighbor Based Collaborative Filtering Algorithm), we suggest new algorithm that improve prediction accuracy of recommender system. After we analyze relations between two variable and Error Value (EV), we suggest new algorithm and apply it to fitted line. This fitted line uses Least Squares Method (LSM) in Exploratory Data Analysis (EDA). To compute the prediction value of new algorithm, the fitted line is applied to experimental data with fitted function. In order to confirm prediction accuracy of new algorithm, we applied new algorithm to increased sparsity data and total data. As a result of study, the prediction accuracy of recommender system in the new algorithm was more improved than current algorithm.

The Optimum Modification of Dynamic Characteristics of Stiffened Plate Structure Including the Number of Stiffener (보강재의 수를 포함한 보강판 구조물의 동특성의 최적변경)

  • 박성현;고재용
    • Journal of the Korean Institute of Navigation
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    • v.25 no.4
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    • pp.461-469
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    • 2001
  • The purpose of this paper is the optimum modification of dynamic characteristics of stiffened plate structure including the number of stiffener. This paper shows the optimum structural modification method by dynamic sensitivity analysis and quasi-least squares method and considers it's validity. In the method of the optimization, finite element method, sensitivity analysis and optimum structural modification method are used. The change of natural frequency and total weight are made to be an objective function. Thickness of plate, the number of stiffener and cross section moment of stiffener become a design variable. The dynamic characteristics of stiffened plate structure is analyzed using finite element method. Next, rate of change of dynamic characteristics by the change of design variable is calculated using the sensitivity analysis. Then, amount of change of design variable is calculated using optimum structural modification method. It is shown that the results are effective in the optimum modification for dynamic characteristics of the stiffened plate structure including the number of stiffener.

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On-line Adaptive Neuro-Fuzzy Control using Conditional Fuzzy Clustering (조건부적인 퍼지 클러스터링을 이용한 온-라인 적응 뉴로-퍼지 제어)

  • Shin, D.C.;Kwak, K.C.;Jeun, B.S.;Kim, J.G.;Ryu, J.W.
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.960-962
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    • 1999
  • The main idea of the proposed neuro-fuzzy system is conditional clustering whose main objective is to develop clusters preserving homogeneity of the clustered patterns with regard to their similarity in the input space as well as their respective values assumed in the output space. In the proposed neuro-fuzzy system, the structure identification is used with conditional fuzzy clustering, the parameter identification carried out by the hybrid learning scheme using back-propagation and total least squares.

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The Effects of Quality Management and Differentiation Strategies of Family Restaurants on Customer Satisfaction and Management Performance (패밀리 레스토랑 품질 관리 및 차별화 전략이 고객 만족과 경영 성과에 미치는 영향)

  • Song, Ki-Ok
    • Culinary science and hospitality research
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    • v.14 no.4
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    • pp.161-175
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    • 2008
  • The purpose of this research is to find out the impact of quality management and differentiation strategies on customer satisfaction and management performance in family restaurants. In particular, it aims to identify whether such quality management and differentiation strategy have positive influence on customer satisfaction and perceived customer satisfaction as indicated through management performance. For the empirical analysis, a questionnaire survey was applied to a total of 250 customers who experienced family restaurant service in Seoul during the past one year. The model was tested using SPSS 12.0 and visual PLS(partial least squares) programs on a sample of the 198 surveys which showed a 92% usable response rate. The results of empirical analysis showed as follows: 1) quality management has a significant effect on customer satisfaction and differentiation strategies but not significant on management performance. 2) differentiation strategies have a significant effect on customer satisfaction and management performance. 3) customer satisfaction has a significant effect on management performance.

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Is the Hospital Caseload of Diagnosis Related Groups Related to Medical Charges and Length of Stay? (DRGs(Diagnosis Related Groups)별 환자집중도 수준에 따른 입원진료비와 재원일수의 차이 분석)

  • Kwak, Jin-Mi;Lee, Kwang-Soo
    • The Korean Journal of Health Service Management
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    • v.8 no.4
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    • pp.13-24
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    • 2014
  • This study analyzes the effects of hospital caseload on medical charges and length of stay for inpatients. Hospital caseload, representing the level of concentration of patients, was measured with the Internal Herfindal Index for three diagnosis related group (DRG) codes (appendectomy, operations on anus, and operations on uterus and adnexa). Ordinary least squares regression was used for analysis. Results showed that medical charges per inpatient and average length of stay significantly differed with respect to hospital concentration indices, and that hospital caseload was inversely related to operational performance for appendectomy and operations on uterus and adnexa. The significant negative relationship between concentration index and length of stay may decrease the total medical charges. The results imply that the expansion of the DRG payment system to hospitals will have a negative influence on their gross sales.

The Effect of Online Travel Agency's Recommendation Information on Purchase Decision Making and Reuse Intention (온라인 여행사의 추천정보가 구매의사결정과 재사용의도에 미치는 영향)

  • Chung, Nam-Ho;Um, Tae-Hyee
    • The Journal of Information Systems
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    • v.26 no.3
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    • pp.149-169
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    • 2017
  • Purpose The purpose of this study is to investigate how OTA recommendation influences users' purchase decision making and reuse intention based on the users' destination type. And we compare the results of domestic destination and overseas destination. Design/methodology/approach This research model was designed with the recommendation elements of OTA. And this study conducted an empirical analysis using self-administered questionnaires. The target of the analysis is an individual who has purchased hotel rooms through the OTA for the past one year. A total of 374 usable data were collected (177 domestic respondents and 197 overseas respondents) and analyzed using partial least squares analysis using Smart-PLS 3.0. Findings Two OTA recommendation characteristics - recommendation accuracy and recommendation objectivity were significant in overall model. And easy of decision making was significantly affect to OTA reuse intention. Also, only recommendation accuracy variable was revealed to significant moderating variable between domestic model and overseas model.

The role of trust in online shopping: A hierarchical relationship perspective (온라인 쇼핑에서 신뢰의 역할 - 위계적 관계 관점)

  • Lee, Jae Nam;Kang, Minhyung
    • Knowledge Management Research
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    • v.14 no.3
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    • pp.15-35
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    • 2013
  • Nowadays, online shopping has become popular among consumers. As such, gaining loyal online shopping customers has become a rising concern for online shopping vendors. In this study, we investigated the hierarchical relationships among Lewicki and Bunker's three different types of trust, namely, calculus-based trust, knowledge-based trust, and identification-based trust, in the context of online shopping and their impacts on customer satisfaction and loyalty. A total of 104 responses from online shopping users were analyzed to test the proposed model and its hypotheses using Partial Least Squares (PLS). The results showed that, in the online environment, hierarchical relationships between different types of trust exist and that, among them, knowledge-based trust has the strongest impact on customer satisfaction. This finding implied that practitioners should focus on developing appropriate online strategies for building trust-based relationships with online customers.

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The Study on the Mobile internet proliferation in Korea (한국에서의 모바일인터넷활용에 관한 연구)

  • Kim, Kyung-Woo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2016.01a
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    • pp.147-148
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    • 2016
  • The purpose of this paper is to investigate the diffusion process of mobile internet use in Korea and to explore the determinants driving MIU. A survey was conducted to collect data to empirically assess the research model. In total, 543 usable responses were collected using a questionnaire derived from previous research. Both the structural equation model and partial least squares were used to study the model concerning different user groups. Findings, The results indicate that there are significant differences in the users' perceptions of mobile internet usage during its different innovation diffusion stages. Of the determinants, perceived enjoyment is the most important predictor of mobile internet use. In addition to motivating users by making services more enjoyable, the findings suggest that practitioners should take the differences of adopter groups into account. Making the mobile internet easy to use and compatible with users' lifestyles would promote the use of technology as well.

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Circadian Changes of Cyclosporine Pharmacokinetics in Rabbits (생체리듬에 따른 싸이클로스포린의 약물동태)

  • Choi, Jon Shik;Park, Bok Soon;Lee, Jin Hwan
    • Korean Journal of Clinical Pharmacy
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    • v.9 no.1
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    • pp.66-70
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    • 1999
  • The effect of circadian rhythm on cyclosporine pharmacokinetics was studied in rabbits after oral administration of 10 mg/kg dose of cyclosporine at 10:00 a.m. and 10:00 p.m. The blood concentration data were subjected to simultaneous computer nonlinear least squares regression analysis using a 1-compartment pharmacokinetic model. The blood concentrations of cyclosporine at 10:00 a. m. were increased significantly during 2-6 hr compared to those at 10:00 p.m. The area under the blood concentration-time curve (AUC) and peak concentration $(C_{max})$ of cyclosporine at 10:00 a.m. were increased significantly compared to those at 10:00 p.m. The mean total body clearance (CL) of cyclosporine at 10:00 a.m. were decreased significantly compared to those at 10:00 p.m. It is reasonable to consider individual circadian rhythm for effective dosage regimen of cyclosporine in therapeutics.

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