• 제목/요약/키워드: Self recognition

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일부 대학생의 자가 판단에 의해 사용하는 일반의약품에 대한 지식, 인식태도 및 사용실태와 관련요인 (Knowledge and Attitudes of Some College Students on General Drugs that They Use by Self-Judgment and Status and Relevant Factors)

  • 조영채;양혜경
    • 보건교육건강증진학회지
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    • 제24권1호
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    • pp.45-61
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    • 2007
  • Objectives: This study aims to identify the usage status of general drugs by some college students based on their own judgment and the relevant factors having impact on them. Methods: The questionnaire survey was conducted by visiting the students in 3 colleges in Daejeon and Chungcheongnam-Do. 792 students were finally selected as the subjects. The results were statistically analyzed using the SPSSWIN(ver 13.0) and $x^2-test$, ANOVA and multiple regression analysis were conducted. Results: The usage status of college students showed the significant difference by general features, knowledge and recognition attitude. The knowledge level of students on the general drugs was very low. They had excessive expectation on the general drugs in terms of the recognition attitude. The lowest factor was the distrust on the general drugs. 27.5% of subjects was satisfied with the effect after using 48.1%m when the drugs were frequently used. Those who experienced the side effects accounted for 9.6%. In accordance with the analysis on the factors related to the knowledge on, recognition attitude on and usage status of general drugs, the education had the highest influence on the abuse and misapplication of drugs. For the mistrust factor on the drugs and negligence factor on abnormal response, the gender was the most influencing. The knowledge level was the greatest impact on the excessive expectation factor on the drugs. The factor that the usage status was the most influential was the education on the abuse and misapplication of drugs. Conclusions: The systematic approach including establishment of health policies for the improvement of health and health education activity should be implemented on the basis of the thorough analysis on the knowledge level and recognition on drugs and the factors influencing on the usage of drugs.

사서의 직무만족도에 관한 메타분석 연구 (A Meta-Analysis of Librarians' Job Satisfaction Studies)

  • 노정순
    • 정보관리학회지
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    • 제25권3호
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    • pp.273-296
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    • 2008
  • 본 연구는 선행연구의 연구결과를 데이터로 간주하여 통계분석하는 메타분석방법을 사용하여 사서의 직무만족에 영향을 미치는 요인을 연구하였다. 선행연구 27편으로부터 집단변수로는 남녀성별과 결혼유무, 종속변수로는 전체직무만족도와 7개 하위변수(직무자체, 급여, 승진, 감독, 근무환경, 사회적 인식, 자아실현)가 선정되어 분석되었다. 분석결과 남녀간 사회적 인식과, 승진, 감독, 근무환경의 효과크기는 유의한 차이를 보였으나, 감독과 근무환경의 효과크기만 동질적인 것으로 분석되었다. 이질적으로 분석된 사회적 인식과 승진에 대해서는 랜덤효과분석을 추가로 수행한 결과 승진의 효과크기만 유의한 차이를 보였다. 결혼여부에서는 직무자체와 급여, 자아실현의 효과크기가 유의한 차이를 보였으나, 이질적으로 판명된 직무자체의 효과크기는 랜덤효과분석에서 유의한 차이를 보이지 못하였다. 연구시기 (2000년전후)는 중재변수가 되지 못한 것으로 분석되었다.

경남지역 일부 남자대학생의 문제음주에 영향을 미치는 요인 (Factors affecting Problematic Drinking of Male College Students in the Gyeongnam Area)

  • 서은희
    • 한국식품영양학회지
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    • 제30권5호
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    • pp.867-879
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    • 2017
  • This study investigated the factors affecting problematic drinking amongst the male university students of the Changwon area (n=367). The participants were divided into 3 groups, and undertook the self-report questionnaire survey. Based on the AUDIT (Alcohol Use Disorders Identification Test) guidelines, problematic drinking were rated as 'no problem' (28.8%), 'at-risk drinking' (41.7%), and 'alcohol abuse' (29.5%). Our study revealed that students living alone, indulged in more club activities, and drank more than 3 cans of carbonated drinks a day; this was significantly high on the AUDIT score (p<0.05). Participation in education was significantly higher (p<0.05), but intention to reduce the monthly alcohol consumption was significantly lower (p<0.001) in the alcohol abuse group. Recognition level of drinking cultures, drinking habits, AUDIT, and nicotine dependence were significantly higher in the alcohol abuse group (p<0.001). Recognition level of drinking cultures and nicotine dependence by the FTND (Fagerstrom Test for Nicotine Dependence) positively correlated with problematic drinking, whereas dietary guidelines and self-esteem showed a negative correlation with problematic drinking (p<0.05). Based on the results of multiple linear regression analysis, the factors affecting problematic drinking were recognition level of drinking cultures (${\beta}=0.47$, p<0.001) and nicotine dependence (${\beta}=0.23$, p<0.001). We conclude that implementation of health education for university students, would aid in rectifying the incorrect perception of drinking. Furthermore, both drinking and smoking should be considered simultaneously.

The Effects of Sports Sponsorship Recognition on Corporate Image, Purchasing Intention and Brand Identification

  • KANG, Seung-Hoon;KIM, Jae-Gyun;YANG, Myung-Hwan
    • 유통과학연구
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    • 제17권10호
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    • pp.49-59
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    • 2019
  • Purpose - This study aims to verify the effect of sports sponsorship recognition on corporate image and the relationship between image and identification, corporate image and purchasing intention, brand identification and purchasing intention Research design, data, and methodology - To carry out the purpose of this study, a set of data was collected from 320 surveys and 305 of them were used. Statistic programs, SPSS 18.0 and AMOS 20.0, were used to analyze the data. Results - It was found that emotional sports sponsorship recognition and social sponsorship sports sponsorship recognition had positive effects on corporate image and brand identification. Corporate image also had a positive effect on brand identification. Besides, it was analyzed that corporate image and brand identification had positive effects on purchasing intention. Conclusions - The results show that sports sponsorship recognition can influence brand identification and purchasing intention, and contribute to the enhancement of corporate image. Since brand personality that matches the self-image of the targeted customer will have a more positive effect on the relationship with the consumer, marketing activities should be carried out so that the brand image can be identified with the company image of sports sponsorship activities.

SOM 알고리즘을 이용한 부분방전 패턴인식에 대한 연구 (A Study on the Partial Discharge Pattern Recognition by Use of SOM Algorithm)

  • 김정태;이호근;임윤석;김지홍;구자윤
    • 대한전기학회논문지:전기물성ㆍ응용부문C
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    • 제53권10호
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    • pp.515-522
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    • 2004
  • In this study, we tried to investigate that the advantages of SOM(Self Organizing Map) algorithm such as data accumulation ability and the degradation trend trace ability would be adaptable to the analysis of partial discharge pattern recognition. For the purpose, we analyzed partial discharge data obtained from the typical artificial defects in GIS and XLPE power cable system through SOM algorithm. As a result, partial discharge pattern recognition could be well carried out with an acceptable error by use of Kohonen map in SOM algorithm. Also, it was clarified that the additional data could be accumulated during the operation of the algorithm. Especially, we found out that the data accumulation ability of Kohonen map could make it possible to suggest new patterns, which is impossible through the conventional BP(Back Propagation) algorithm. In addition, it is confirmed that the degradation trend could be easily traced in accordance with the degradation process. Therefore, it is expected to improve on-site applicability and to trace real-time degradation trends using SOM algorithm in the partial discharge pattern recognition

Speech Query Recognition for Tamil Language Using Wavelet and Wavelet Packets

  • Iswarya, P.;Radha, V.
    • Journal of Information Processing Systems
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    • 제13권5호
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    • pp.1135-1148
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    • 2017
  • Speech recognition is one of the fascinating fields in the area of Computer science. Accuracy of speech recognition system may reduce due to the presence of noise present in speech signal. Therefore noise removal is an essential step in Automatic Speech Recognition (ASR) system and this paper proposes a new technique called combined thresholding for noise removal. Feature extraction is process of converting acoustic signal into most valuable set of parameters. This paper also concentrates on improving Mel Frequency Cepstral Coefficients (MFCC) features by introducing Discrete Wavelet Packet Transform (DWPT) in the place of Discrete Fourier Transformation (DFT) block to provide an efficient signal analysis. The feature vector is varied in size, for choosing the correct length of feature vector Self Organizing Map (SOM) is used. As a single classifier does not provide enough accuracy, so this research proposes an Ensemble Support Vector Machine (ESVM) classifier where the fixed length feature vector from SOM is given as input, termed as ESVM_SOM. The experimental results showed that the proposed methods provide better results than the existing methods.

장기요양시설 요양보호사의 직무에 대한 수행도, 교육요구도 및 전문직업성 인식 (Job Performance, Educational Needs, and Recognition of Professionalism among Care Workers in Long-term Care Facilities)

  • 송민선;김진학;양남영
    • 가정∙방문간호학회지
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    • 제26권2호
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    • pp.166-179
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    • 2019
  • Purpose: The purpose of this study was to identify the job performance and educational needs, and recognition of professionalism among care workers, and to organize educational programs according to the priorities of care workers. Methods: The participants were 119 care workers who were working in long-term care facilities. Data were collected from May 31 to June 7, 2019 using self-report questionnaires. Collected data were analyzed using t-tests, ANOVA, and Spearman's Correlation Coefficients. Results: The performance aspects of the job were as follows: care for safety and infection-related, communication and leisure support, and excretion. The most demanded educational needs were in first-aid. Care workers had more than average professional recognition. Job performance and educational needs, and recognition of professionalism differed significantly according to several general characteristics. Conclusions: The educational needs of the areas with low frequency of job performance were high. First-aid is low in frequency, but it is important to cope with emergencies, so it is necessary to continue education. Also, there is a difference in recognition of professionalism according to the career. It will be necessary to develop individualized education programs to meet the needs of care workers.

The Role of Cognitive Control in Tinnitus and Its Relation to Speech-in-Noise Performance

  • Tai, Yihsin;Husain, Fatima T.
    • Journal of Audiology & Otology
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    • 제23권1호
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    • pp.1-7
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    • 2019
  • Self-reported difficulties in speech-in-noise (SiN) recognition are common among tinnitus patients. Whereas hearing impairment that usually co-occurs with tinnitus can explain such difficulties, recent studies suggest that tinnitus patients with normal hearing sensitivity still show decreased SiN understanding, indicating that SiN difficulties cannot be solely attributed to changes in hearing sensitivity. In fact, cognitive control, which refers to a variety of top-down processes that human beings use to complete their daily tasks, has been shown to be critical for SiN recognition, as well as the key to understand cognitive inefficiencies caused by tinnitus. In this article, we review studies investigating the association between tinnitus and cognitive control using behavioral and brain imaging assessments, as well as those examining the effect of tinnitus on SiN recognition. In addition, three factors that can affect cognitive control in tinnitus patients, including hearing sensitivity, age, and severity of tinnitus, are discussed to elucidate the association among tinnitus, cognitive control, and SiN recognition. Although a possible central or cognitive involvement has always been postulated in the observed SiN impairments in tinnitus patients, there is as yet no direct evidence to underpin this assumption, as few studies have addressed both SiN performance and cognitive control in one tinnitus cohort. Future studies should aim at incorporating SiN tests with various subjective and objective methods that evaluate cognitive performance to better understand the relationship between SiN difficulties and cognitive control in tinnitus patients.

The Role of Self-Construal and Emotionsin Younger Consumers' Commitment to Luxury Brands

  • Hwang, Ji-Young;Kandampully, Jay
    • 복식문화연구
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    • 제20권4호
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    • pp.604-615
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    • 2012
  • Despite the increasing recognition of the value of emotions and younger consumers in luxury market segments, little research has focused on the role consumer characteristics and emotions play in younger consumers' commitment to luxury brands. Drawing on the identity-motivation model and the idea of self-construal, this study identifies the contributing factors of younger consumers' commitment to luxury fashion brands. Specifically, this study examines the role of consumer characteristics (i.e., self-construal), the self-expressiveness of brands, and emotional factors (i.e., brand love and brand attachment) in developing consumer-brand relationships. The proposed model was tested with college students in the U.S., which supplied a representative group of younger consumers of luxury fashion brands. The data were collected using web-based surveys and analyzed using structural equation modeling method. The results showed that consumers who were characterized with interdependent self-construal had positive perceptions of self-expressive luxury fashion brands. Furthermore, the perception of self-expressive brands promotes the consumers' brand love of and brand attachmentto luxury fashion brands. Also, while both improved brand commitment, brand attachment had a greater impact on brand commitment than brand love. This study contributes to the literature by identifying driving forces of younger consumers' brand commitment. It also provides managerial implications for luxury fashion brands.

A Review of Intelligent Self-Driving Vehicle Software Research

  • Gwak, Jeonghwan;Jung, Juho;Oh, RyumDuck;Park, Manbok;Rakhimov, Mukhammad Abdu Kayumbek;Ahn, Junho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5299-5320
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    • 2019
  • Interest in self-driving vehicle research has been rapidly increasing, and related research has been continuously conducted. In such a fast-paced self-driving vehicle research area, the development of advanced technology for better convenience safety, and efficiency in road and transportation systems is expected. Here, we investigate research in self-driving vehicles and analyze the main technologies of driverless car software, including: technical aspects of autonomous vehicles, traffic infrastructure and its communications, research techniques with vision recognition, deep leaning algorithms, localization methods, existing problems, and future development directions. First, we introduce intelligent self-driving car and road infrastructure algorithms such as machine learning, image processing methods, and localizations. Second, we examine the intelligent technologies used in self-driving car projects, autonomous vehicles equipped with multiple sensors, and interactions with transport infrastructure. Finally, we highlight the future direction and challenges of self-driving vehicle transportation systems.