• 제목/요약/키워드: Multiple hypothesis

검색결과 445건 처리시간 0.022초

Effects of Police Officers' Organizational Learning on Empowerment Components (경찰공무원의 조직학습이 임파워먼트 구성요인에 미치는 영향)

  • Kim, Pyong-Soo
    • Korean Security Journal
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    • 제37호
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    • pp.109-135
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    • 2013
  • The purpose of the study was to analyze how organizational learning of police officers affects empowerment components as this learning method works as a way to maximize the police organization. In order to achieve the research goal, the study selected a total of 170 police officers on duty in Gwangju Metropolitan Police Agency as a research subject for a month from July 14, 2013 to August 15. The subjects were selected via the random sampling method and were told to participate in a survey of a self-administrated method. A total of 163 (95.5%) references were used for the final analysis. The collected data was processed with SPSS for Win Version 18.0 and the variables were went through Pearson's Correlation Analysis and Multiple Regression Analysis. The results are summarized as follows. First, a hypothesis of "how social demographic characteristics have a different influence on organizational learning and empowerment" was partially confirmed. Second, another hypothesis of "how organizational learning affects empowerment of the members" was adopted.

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The Effects of Corporate Social Responsibility in the Foodservice Industry upon Customers' Perceived Service Quality Using DINESERV (외식기업의 사회적 책임 활동이 고객의 인지된 서비스 품질(DINESERV)에 미치는 영향)

  • Jung, Hyo-Sun;Yoon, Hye-Hyun
    • Korean journal of food and cookery science
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    • 제25권1호
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    • pp.16-24
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    • 2009
  • This study suggested a theoretical research system on the effects of corporate social responsibility in the foodservice industry upon perceived service quality. Self-administered questionnaires were completed by 509 customers and the data were analysed by frequency, factor analysis, reliability analysis, correlation analysis and multiple regression analysis. The primary results are as follows - Three corporate social responsibility (CSR) factors were obtained - economic responsibility, legal.ethical responsibility and philanthropic responsibility. In addition, five factors were obtained from the factor analysis of perceived service quality - tangibility, reliability, responsiveness, assurance and empathy. Correlation analysis showed a significant correlation between the CSR factors and the customers' perceived service quality factors. Multiple regression analysis, to verify the hypothesis, showed that CSR in the foodservice industry had a significant influence upon customers' perceived service quality; therefore, the research hypothesis was adopted. CSR, which had an effect on tangibility out of the minutely-perceived service quality factors, was indicated in the order of economic responsibility, legal ethical responsibility and philanthropic responsibility. Responsiveness, reliability, and assurance were influenced by legal ethical responsibility, economic responsibility and philanthropic responsibility, respectively, in order. Also, empathy was surveyed to be influenced by legal ethical responsibility, philanthropic responsibility and economic responsibility in order. Consequently, customers' evaluations of perceived service quality may be inferred to have positive effects when the customer recognizes whether the foodservice company performs social responsibility.

A Global Self-Position Localization in Wide Environments Using Gradual RANSAC Method (점진적 RANSAC 방법을 이용한 넓은 환경에서의 대역적 자기 위치 추정)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • 제11권4호
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    • pp.345-353
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    • 2010
  • A general solution in global self-position location of robot is to generate multiple hypothesis in self-position of robot, which is to look for the most positive self-position by evaluating each hypothesis based on features of observed landmark. Markov Localization(ML) or Monte Carlo Localization(MCL) to be the existing typical method is to evaluate all pairs of landmark features and generated hypotheses, it can be said to be an optimal method in sufficiently calculating resources. But calculating quantities was proportional to the number of pairs to evaluate in general, so calculating quantities was piled up in wide environments in the presence of multiple pairs if using these methods. First of all, the positive and promising pairs is located and evaluated to solve this problem in this paper, and the newly locating method to make effective use of calculating time is proposed. As the basic method, it is used both RANSAC(RANdom SAmple Consensus) algorithm and preemption scheme to be efficiency method of RANSAC algorithm. The calculating quantity on each observation of robot can be suppressed below a certain values in the proposed method, and the high location performance can be determined by an experimental on verification.

Comparison of methods for the proportion of true null hypotheses in microarray studies

  • Kang, Joonsung
    • Communications for Statistical Applications and Methods
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    • 제27권1호
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    • pp.141-148
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    • 2020
  • We consider estimating the proportion of true null hypotheses in multiple testing problems. A traditional multiple testing rate, family-wise error rate is too conservative and old to control type I error in multiple testing setups; however, false discovery rate (FDR) has received significant attention in many research areas such as GWAS data, FMRI data, and signal processing. Identify differentially expressed genes in microarray studies involves estimating the proportion of true null hypotheses in FDR procedures. However, we need to account for unknown dependence structures among genes in microarray data in order to estimate the proportion of true null hypothesis since the genuine dependence structure of microarray data is unknown. We compare various procedures in simulation data and real microarray data. We consider a hidden Markov model for simulated data with dependency. Cai procedure (2007) and a sliding linear model procedure (2011) have a relatively smaller bias and standard errors, being more proper for estimating the proportion of true null hypotheses in simulated data under various setups. Real data analysis shows that 5 estimation procedures among 9 procedures have almost similar values of the estimated proportion of true null hypotheses in microarray data.

Comparisons on Relative Growth of Red Pine, Black Pine and Pitch Pine by Means of Multiple Regression (다중회귀분석법에 의한 소나무, 곰솔 및 리기다소나무의 상대성장 비교)

  • Park, Man-Choon;Lee, Yun-Keun;Choi, Kee-Ryong
    • Journal of Environmental Science International
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    • 제19권3호
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    • pp.305-312
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    • 2010
  • The purpose of this study is to compare the relative growth of annual ring width of red pine(Pinus densiflora), black pine(Pinus thunbergii) and pitch pine(Pinus rigida) by means of multiple regression method according to Graybill hypothesis. The obtained results are as follows. 1. The changes of rainfall have affected to tree growth during the periods of 1975 through 1978. 2. Among these pine trees, red pine was mostly influenced by environmental factors. 3. The growth of annual ring width was sensitively responded to the changes of rainfall and air temperature. 4. Among the heavy metals analyzed, the concentrations(ppm) of Lead(Pb) and Copper(Cu) were negatively effected on the growth of annual ring width of pine trees. 5. The analytical technique of annual ring width may be useful for estimation of the pollution in forest areas near industrial complexes.

Characterization of Multiple Synaptic Boutons in Cerebral Motor Cortex in Physiological and Pathological Condition: Acrobatic Motor Training Model and Traumatic Brain Injury Model

  • Kim, Hyun-Wook;Na, Ji eun;Rhyu, ImJoo
    • Applied Microscopy
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    • 제48권4호
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    • pp.102-109
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    • 2018
  • Multiple synaptic boutons (MSBs) have been reported to be synapse with two or more postsynaptic terminals in one presynaptic terminal. These MSBs are known to be increased by various brain stimuli. In the motor cortex, increased number of MSB was observed in both acrobat training (AC) model and traumatic brain injury (TBI) model. Interestingly one is a physiological stimuli and the other is pathological insult. The purpose of this study is to compare the connectivity of MSBs between AC model and TBI model in the cerebral motor cortex, based on the hypothesis that the connectivity of MSBs might be different according to the models. The motor cortex was dissected from perfused brain of each experimental animal, the samples were prepared for routine transmission electron microscopy. The 60~70 serial sections were mounted on the one-hole grid and MSB was analyzed. The 3-dimensional analysis revealed that 94% of MSBs found in AC model synapse two postsynaptic spines from same dendrite. But, 28% MSBs from TBI models synapse two postsynaptic spines from different dendrite. This imply that the MSBs observed in motor cortex of AC model and TBI model might have different circuits for the processing the information.

Asynchronous Multilevel Search Strategy for Fast Acquisition of AltBOC Signals

  • Kim, Binhee;Kong, Seung-Hyun
    • Journal of Positioning, Navigation, and Timing
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    • 제4권4호
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    • pp.161-171
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    • 2015
  • Alternative binary offset carrier (AltBOC) signals can be approximated by four synchronized direct sequence spread spectrum (DSSS) signals, each pair of which is a quadrature phase shift keyed (QPSK) signal at a different frequency. Therefore, depending on the strength of an incoming AltBOC signal, an acquisition technique can reduce the mean acquisition time (MAT) by searching the four DSSS signals asynchronously; the search for each of the four DSSS signals can start at one of the evenly separated hypotheses on the two-dimensional hypothesis space. And detection sensitivity can be improved by multiple levels when different numbers of search results for the same hypothesis are combined. In this paper, we propose a fast AltBOC acquisition technique that has an asynchronous search strategy and efficiently utilizes the output of the four search results to increase the sensitivity level when sensitivity improvement is needed. We provide a complete theoretical analysis and demonstrate with numerous Monte Carlo simulations that the MAT of the proposed technique is much smaller than conventional AltBOC acquisition techniques.

The Effect of Competence on Organizational Performance in Special Hospitals and a Study on the Special Hospital System : Focused on the First Special Hospitals (전문병원의 역량이 조직성과에 미치는 영향과 전문병원제도에 관한 조사연구: 제1기 전문병원을 대상으로)

  • Ryu, Hwang-Gun;Jang, Won-Hyuk
    • The Korean Journal of Health Service Management
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    • 제9권1호
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    • pp.1-16
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    • 2015
  • This study intended to measures for high performance and for identifying competitive advantages by examining the relation between the competence and performance of the first special hospitals for which the law has now been in effect for 3 years. Furthermore, the members of special hospitals were also surveyed on measures to improve the special hospital system in order to activate it. A total of 80 special hospitals participated in this study, and 171 people responded to a survey on the special hospital system. According to the results of the multiple regression analysis the relation between the competence and performance after establishing a hypothesis that special hospital competence would have an effect on organizational performance, member competence and hospital business management competence significantly had a positive (+) effect on internal performance, and marketing management competence significantly had a positive (+) effect on external performance, which partially supported this research hypothesis. Moreover, according to the results of survey on the special hospital system, the policy thought to be the most important by special hospitals was reasonable fee system reform, followed by granting incentives.

An Emperical Study on Activation of uTradehub (uTradeHub 활성화 방안에 관한 실증 분석)

  • CHOI, Tae-Kwang;RYU, Seung-Yeal
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • 제71권
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    • pp.217-243
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    • 2016
  • As the rapid development of IT and the internet changed the trading method from the traditional offline transaction into the online e-Trading, the international documentation standards, the eUCP and the domestic laws and legislations have been established, adapting to the new e-Trading environment. This study was conducted to analyze the factors which affect the use of uTradeHub on the domestic trading companies and trade-related organizations and suggest how to activate e-Trading. To do this, classify the users into the enterprises and the trade-related organizations, set up the hypothesis of the study with the measurement variables of the user convenience, the new service, the system suitability and the legislation environment and carry out a survey targeting the trading companies and the trade-related offices to do an actual proof analysis. The analysis was performed by using the statistical program, SPSS IBM22.0, and the study hypothesis was tested by the multiple regression analysis methodology. The test result showed that the trading companies set a high value on the user convenience, the new service and the legislation environment of uTradeHub, meanwhile the trade-related organizations regarded the system security and reliability, the user convenience and the legislation environment as the major affecting factor on the use of uTradeHub.

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Korean Students' Attitudes Towards Robots: Two Survey Studies (한국 학생의 로봇에 대한 태도: 국제비교 및 태도형성에 관하여)

  • Shin, Na-Min;Kim, Sang-A
    • The Journal of Korea Robotics Society
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    • 제4권1호
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    • pp.10-16
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    • 2009
  • This paper is concerned with Korean students' attitudes towards robots, presenting two survey studies. The first study was concerned with a group of college students, taking the perspective of international comparison. Data were collected by administering an online survey, where 106 volunteer students had participated. In the survey, the Negative Attitude towards Robot Scale(NARS) was adopted to compare the Korean students' scores with those of multi-national groups (U.S.A, Germany, Netherland, Japan, Mexico, and China) who responded to the same scale in Bartneck et al.'s research. The analysis of the data reveals that Korean students tend to be more concerned about social impacts that robots might bring to future society and are very conscious about the uncertain influences of robots on human life. The second study investigated factors that may affect K-12 students' attitudes towards robots, with survey data garnered from 298 elementary, middle, and high school students. The data were analyzed by the method of multiple regression analysis to test the hypothesis that a student's gender, age, the extent of interest in robots, and the extent of experiences with robots may influence his or her attitude towards robots. The hypothesis was partially supported in that variables of a student's gender, age, and the extent of interest in robots were statistically significant with regard to the attitude variable. Given the results, this paper suggests three points of discussions to better understand Korean students' attitudes towards robots: social and cultural context, individual differences, and theory of mind.

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