• Title/Summary/Keyword: Users' assessment

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Erogonomic assessment of "Noraebang" noise and potential hearing-loss and hearing protection strategies (노래방 소음 및 난청가능성의 인간공학적 평가와 청각보호방안)

  • 박민용
    • Journal of the Ergonomics Society of Korea
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    • v.15 no.1
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    • pp.79-90
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    • 1996
  • A research project was conducted to assess the levels of noise exposed to "Noraebang" users and potential hazards to noise-induced hearing loss due to commercial Noraebang noise. A two-way, mixed-factors factorial design was employed for the experiment using independent variables of "noise source" (no- singer, 1-singer, and 2-singer conditions) and "music type" (Trot, Ballad, and Rock music) with 18 normal hearing subjects. Each singer group sang 5 popular songs of each music type in each signing condition, whereas background music was just played for the no-singer condition. For each music played/sung, equivalent continuous sound pressure levels and maximum sound pressure levels were measured for data analysis purposes. Pure-tone audiometry was applied for measuring subjects' hearing threshold levels before and after exposure to Noraebgang noise. The statistical analyses indicate that average continuous noise levels due to Noraebang leisure environment were very serious, especially when two people were singing (higher than 95 dBA). Furthermore, maximum noise levels often exceeded the OSHA's non-premissible 115 dBA level. Worse yet, hearing loss assessment implies that Noraebang facilities may pose a serious threat to noise-induced hearing loss, based on 6-8 dB loss at 125 Hz and 8 dB loss at 4000 Hz after about 1-hour Noraebang noise exposure.

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A Comparative Study on the Care Services According to Care Levels in the Korean and German Home Care System (한국과 독일 방문요양의 등급별 급여 비교 연구)

  • Park, Jong Duk
    • Journal of Home Health Care Nursing
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    • v.23 no.2
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    • pp.243-252
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    • 2016
  • Purpose: This study aims to classify multiple forms of home care services from a service user's perspective. By comparing the German system to the Korean one, this study seeks to find better ways of enhancing client-centered care. Methods: The data of 121 home care users were collected from six home care centers that had under the management of nursing managers for more than five years. The researcher used a German instrument to estimate the level of care. Results: High correlation was found between German and Korean assessment criteria (r=0.81, p<.001). However, compared to their German counterparts, Korean home care providers allocated more time towards provision of domestic help per daily visit. German home care providers allocated more time towards services relating to provision of support for physical activities, including personal hygiene. It was confirmed that the level of care in Korea does not correlate with either the categories of home care services and duration. Conclusion: Therefore, care services should be offered according to long-term care needs. This study suggests a need for systematic care aimed at strengthening the client's autonomy which should be properly planned, implemented, and managed.

A Study on the Measurement of Heart Rate Variability using the Modified Laplacian Electrodes (수정된 라플라시안 센서를 이용한 심박변이도 측정에 관한 연구)

  • Lee, Chung-Keun;Shin, Hang-Sik;Kim, Hong-Rae;Lee, Jeong-Whan;Kim, Yong-Jun;Lee, Myoung-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.5
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    • pp.1050-1056
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    • 2009
  • Heart Rate Variability(HRV) is a parameter that represents monitoring variability of time intervals between R-peak in electrocardiography. HRV serves to various applications, such as indices of autonomic functions, prediction of cardiac sudden death, assessment of stress and emotional, etc. However, as measuring R-peak in ECG needs at least 3-electrodes, and it is inconvenient for end users. In this paper, we suggested the modified laplacian electrodes for measuring HRV at one-point, which are producted by MEMS fabrication and have the two circular electrodes on the pad. For optimal position and direction, we performed an experiment that compared with pearson correlation coefficient and the amplitude of signals, between standard lead II and proposed electrodes. We analyzed the HRV parameters, such as standard deviation of the NN interval(SDNN), high frequency(HF), low frequency(LF), LF/HF ratio. The result showed that the average correlation coefficient and amplitude are 0.967 and 0.685 mVpp at the position 2. The coeffiecient correlation between the standard HRV and proposed electrode-HRV is 0.999

Key Factors Affecting Intention to Order Online Food Delivery (OFD)

  • SAN, Sing Su;DASTANE, Omkar
    • The Journal of Industrial Distribution & Business
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    • v.12 no.2
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    • pp.19-27
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    • 2021
  • Purpose: This study investigated the impact of key factors such as service quality, perceived benefit and brand familiarity on a consumer's intention to order online food delivery (OFD). In addition, mediating effect of electronic word of mouth (e-WOM) between relationships among selected key variables and OFD purchase intention is also assessed. Research design, data and methodology: This explanatory, quantitative study employed convenience sampling and collected data through online structured questionnaire from 304 respondents who are users of OFD apps based in greater Klang valley region of Malaysia. The data was then subjected to normality and reliability assessment followed by confirmatory factor analysis, validity assessment and structural equation modelling using IBM SPSS AMOS 24.0. Results: Findings revealed that service quality, perceived benefits and brand familiarity affects purchase intention positively and significantly. Perceived benefits demonstrated highest impact on purchase intention followed by brand familiarity and service quality. Findings also suggest that e-WOM fully mediates relationship between brand familiarity and purchase intention, however, the same was not observed for remaining two variables. Conclusions: The study has enriched OFD literature by investigating impact of selected key factors on purchase intention in the context of OFD. Implications, limitations and future research avenues are then discussed.

Non-intrusive Calibration for User Interaction based Gaze Estimation (사용자 상호작용 기반의 시선 검출을 위한 비강압식 캘리브레이션)

  • Lee, Tae-Gyun;Yoo, Jang-Hee
    • Journal of Software Assessment and Valuation
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    • v.16 no.1
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    • pp.45-53
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    • 2020
  • In this paper, we describe a new method for acquiring calibration data using a user interaction process, which occurs continuously during web browsing in gaze estimation, and for performing calibration naturally while estimating the user's gaze. The proposed non-intrusive calibration is a tuning process over the pre-trained gaze estimation model to adapt to a new user using the obtained data. To achieve this, a generalized CNN model for estimating gaze is trained, then the non-intrusive calibration is employed to adapt quickly to new users through online learning. In experiments, the gaze estimation model is calibrated with a combination of various user interactions to compare the performance, and improved accuracy is achieved compared to existing methods.

Investigating the Impact of Value Co-Creation on Satisfaction and Intention to Adopt E-Resources

  • Sachin Kumar;Adil Zia;Vandana;Vinod Kumar
    • Journal of Information Science Theory and Practice
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    • v.11 no.3
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    • pp.1-15
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    • 2023
  • The present study examines the impact of value co-creation on satisfaction and intention to adopt of e-resources among users. Four components of the DART model have been adopted to describe value co-creation. These components are dialogue, access, risk-assessment, and transparency. Ph.D. scholars and faculty members from National Capital Region, India, were requested to respond on a five-point Likert scale. A total of 220 responses were collected with the help of a structured questionnaire from respondents of the top 50 business schools according to National Institute Ranking Framework. These responses have been analysed by means of structured equation modelling on Adanco 2.2 software. Findings of the study reported the insignificant impact of access and risk-assessment, and positive impact of dialogue and transparency on satisfaction. Further, satisfaction has been identified, creating significant impact on adoption of e-resources. Such findings reflect the real picture of customer experience with respect to their role in co-creation of e-resources. Respondents have conveyed their dissatisfaction with the co-creation process of e-resources, as companies do not provide all the information and access to their customers beforehand. Consequently, customers fail to make informed decisions and also find themselves unable to show trust in the service providers of e-resources.

Machine Learning based Open Source Software Category Classification Model (머신러닝 기반의 오픈소스 SW 카테고리 분류 모델 연구)

  • Back, Seung-Chan;Choi, Hyunjae;Yun, Ho-Yeong;Joe, Yong-Joon;Shin, Dong-Myung
    • Journal of Software Assessment and Valuation
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    • v.14 no.1
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    • pp.9-17
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    • 2018
  • In many respects, the use and importance of open source software in companies and individuals are increasing as the days pass. However, software evaluation for users, software classification of filtering fundamentals research can not deal flexibly according to the characteristics of open source software. They are using a fixed classification system. In this research, we provide a classification model of open source software that can flexibly deal with the classification of open source software and the software category of new open source software.

Development of Reliability Measurement Method and Tool for Nuclear Power Plant Safety Software (원자력 안전 소프트웨어 대상 신뢰도 측정 방법 및 도구 개발)

  • Lingjun Liu;Wooyoung Choi;Eunkyoung Jee;Duksan Ryu
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.5
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    • pp.227-235
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    • 2024
  • Since nuclear power plants (NPPs) increasingly employ digital I&C systems, reliability evaluation for NPP software has become crucial for NPP probabilistic risk assessment. Several methods for estimating software reliability have been proposed, but there is no available tool support for those methods. To support NPP software manufacturers, we propose a reliability measurement tool for NPP software. We designed our tool to provide reliability estimation depending on available qualitative and quantitative information that users can offer. We applied the proposed tool to an industrial reactor protection system to evaluate the functionality of this tool. This tool can considerably facilitate the reliability assessment of NPP software.

Product Review Data and Sentiment Analytical Processing Modeling (상품 리뷰 데이터와 감성 분석 처리 모델링)

  • Yeon, Jong-Heum;Lee, Dong-Joo;Shim, Jun-Ho;Lee, Sang-Goo
    • The Journal of Society for e-Business Studies
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    • v.16 no.4
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    • pp.125-137
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    • 2011
  • Product reviews in online shopping sites can serve as a useful guideline to buying decisions of customers. However, due to the massive amount of such reviews, it is almost impossible for users to read all the product reviews. For this reason, e-commerce sites provide users with useful reviews or statistics of ratings on products that are manually chosen or calculated. Opinion mining or sentiment analysis is a study on automating above process that involves firstly analyzing users' reviews on a product to tell if a review contains positive or negative feedback, and secondly, providing a summarized report of users' opinions. Previous researches focus on either providing polarity of a user's opinion or summarizing user's opinion on a feature of a product that result in relatively low usage of information that a user review contains. Actual user reviews contains not only mere assessment of a product, but also dissatisfaction and flaws of a product that a user experiences. There are increasing needs for effective analysis on such criteria to help users on their decision-making process. This paper proposes a model that stores various types of user reviews in a data warehouse, and analyzes integrated reviews dynamically. Also, we analyze reviews of an online application shopping site with the proposed model.

Study on the Efficient Integration of Long-term Care Facilities and Geriatric Hospitals by Using NHIC Survey Data (실태조사를 통한 장기요양시설과 요양병원의 효율적 연계방안)

  • Choi, in-duck;Lee, eun-mi
    • 한국노년학
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    • v.30 no.3
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    • pp.855-869
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    • 2010
  • The purpose of this study is to identify how to efficiently integrate long-term care facilities into geriatric hospitals. We conducted a survey on the current operations of facilities and medical services of 2009 of 192 long-term facilities and 168 geriatric hospitals in Korea between October and November. Technical statistics and chi-square test were conducted on the collected data using the SPSS 13.0/Win program. There was a difference between the two facility types in terms of the co-payment levels of the food services. Both types selected the budget deficit as their major management problem. Ease of access and the surrounding environment were critical factors used to select the location of both types of facilities. Facility users benefited from the discounted co-payments of both facility types. However, facility users wanted more frequent visits and support from their family members during their stay at the facilities. It was discovered that users in the long-term care facilities stayed longer, that is until they died, compared to their counterparts in geriatric hospitals. The two types of facilities provided their services totally separately to users. Users of the two types of facilities are poorly supported and cared for by their families. This study suggests that setting reasonable service fees, paying caretakers, introducing an integrated facility, strengthening facility assessment standards, introducing the family doctor system, and introducing the handling of long-term care insurance by geriatric hospitals would allow the integration between long- term care facilities and geriatric hospitals to be beneficial.