• 제목/요약/키워드: Qualitative technology analysis

검색결과 922건 처리시간 0.028초

Analysis of Learning Experience on Team-based Technology Design Project of Non-Engineering Students

  • KIM, Insu
    • Educational Technology International
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    • 제15권2호
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    • pp.201-215
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    • 2014
  • The design project of a technology product provides an opportunity for students to experience the inter-connectedness of academic information and ill-defined real-world problems. This study focuses on non-engineering students' activity and perception through the assistive technology design project. For this purpose, participants engaged in a team-based technology design project. Then, a qualitative research approach was adopted, which included reflective journals with 24 undergraduate students majored in Adaptive Physical Education. The analysis identified six factors (knowledge value, social value, reality value, accomplishment value, perspective value, benefit value) of perception and five stages (topic selection, function suggestion, visualization, presentation preparation, and presentation) of activity.

The Impact of Human Resource Management Activities on the Compatibility and Work Results

  • NGUYEN, Duc Trung;HA, Van Dung;DANG, Truong Thanh Nhan
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.621-629
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    • 2020
  • This research focuses on determining the impact of human resource management activities on the compatibility and work results of employees of Ho Chi Minh Stock Exchange (HOSE) listed companies. The paper includes five parts: introduction, literature review, research methodology, research results, and conclusion and policy implications. The data are collected from the survey of 350 listed companies in HOSE, in which 315 survey notes filled with sufficient information are used for analysis. The paper employs both qualitative method and quantitative method. Group discussion of 10 experts is for qualitative research. Quantitative method performs analysis of Statistics, Cronbach's Alpha, EFA analysis, CFA analysis and SEM model. The results of the research clearly indicate that human resource management (HRM) activities are measured through improving the ability, improving the motivation and improving the opportunity. While compatibility is measured through suitability, connection and sacrifice; whereby HRM activities of ability improvement have a positive effect on the job suitability and connection; HRM activities of motivation improvement have a positive effect on the job suitability, connection and sacrifice; and HRM activities of opportunity improvement have a positive effect on the job suitability, sacrifice and connection; Finally, the job suitability, sacrifice and connection positively affect the work results of employees.

거름종이가 미량 분석 결과에 미치는 영향 (The Effect of Filter Paper on the Results of Trace Analysis)

  • 임헌성;이석근
    • 분석과학
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    • 제16권2호
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    • pp.174-178
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    • 2003
  • Analytical chemists frequently use filter papers during the course of experiments without any hesitation. However, the results of analysis could be deteriorated by the various ions which are extracted from filter papers. In some filter paper made for qualitative use, about $300{\mu}g$ sodium and many other cations were detected. Although the quantities of contaminants was low in the filter paper made for quantitative use, significant amount of Fe, Si, Al, Cu and Zn was detected as well as alkali element. Many cations and anions were also detected in the filtrate obtained from the glass fiber filter.

Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study

  • Putri Winda Lestari;Lina Agestika;Gusti Kumala Dewi
    • Journal of Preventive Medicine and Public Health
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    • 제56권1호
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    • pp.21-30
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    • 2023
  • Objectives: To prevent the spread of coronavirus disease 2019 (COVID-19), behaviors such as mask-wearing, social distancing, decreasing mobility, and avoiding crowds have been suggested, especially in high-risk countries such as Indonesia. Unfortunately, the level of compliance with those practices has been low. This study was conducted to determine the predisposing, enabling, and reinforcing factors of COVID-19 prevention behavior in Indonesia. Methods: This cross-sectional study used a mixed-methods approach. The participants were 264 adults from 21 provinces in Indonesia recruited through convenience sampling. Data were collected using a Google Form and in-depth interviews. Statistical analysis included univariate, bivariate, and multivariate logistic regression. Furthermore, qualitative data analysis was done through content analysis and qualitative data management using Atlas.ti software. Results: Overall, 44.32% of respondents were non-compliant with recommended COVID-19 prevention behaviors. In multivariate logistic regression analysis, low-to-medium education level, poor attitude, insufficient involvement of leaders, and insufficient regulation were also associated with decreased community compliance. Based on in-depth interviews with informants, the negligence of the Indonesian government in the initial stages of the COVID-19 pandemic may have contributed to the unpreparedness of the community to face the pandemic, as people were not aware of the importance of preventive practices. Conclusions: Education level is not the only factor influencing community compliance with recommended COVID-19 prevention behaviors. Changing attitudes through health promotion to increase public awareness and encouraging voluntary community participation through active risk communication are necessary. Regulations and role leaders are also required to improve COVID-19 prevention behavior.

트위터 사용자들의 감성을 이용한 사회적 이슈 분석 (Social Issue Analysis Based on Sentiment of Twitter Users)

  • 김한나;정영섭
    • 융합정보논문지
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    • 제9권11호
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    • pp.81-91
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    • 2019
  • 대중들의 소통의 창구로 자리매김 하고 있는 소셜 네트워크 서비스(SNS)에 작성된 글은 감성을 많이 포함하고 있다는 특징을 갖고 있다. 그 중 트위터는 공개 Application Programming Interface(API)를 통한 데이터의 수집이 편리하다는 장점을 지니고 있다. 본 논문에서는 트위터 상에 표현된 사용자들의 감성 정보를 통해 사회적 이슈를 분석하고 마케팅 분야 활용 가능성을 제시한다. 이는 국민 또는 소비자의 의견과 반응을 필요로 하는 정부, 기업 등에 도움이 될 수 있다. 본 논문에서는 최근 사회적 이슈에 대한 트위터 텍스트 데이터를 긍정 또는 부정으로 분류하여 질적 분석을 제공하였고, 각 트윗의 좋아요 수, 리트윗 수 등에 대한 상관관계 분석을 통해 양적분석을 제공하였다. 질적 분석의 결과로 국민의 지지를 얻기 위해 관세정책을 홍보하고, 버즈 사용자에게는 기술적 편의를 제공할 것을 제안하였다. 양적 분석의 결과, 트위터 사용자들의 관심을 끌기 위해서는 긍정적인 트윗을 짧고 간단하게 작성해야 함을 밝혔다. 데이터의 수집 기간이 짧고, 단 두 가지의 키워드만을 분석하여 일반화 가능성이 떨어지는 한계를 가져 향후, 보다 긴 기간의 다양한 사회적 이슈를 분석할 예정이다.

Proposal for AI Video Interview Using Image Data Analysis

  • Park, Jong-Youel;Ko, Chang-Bae
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권2호
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    • pp.212-218
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    • 2022
  • In this paper, the necessity of AI video interview arises when conducting an interview for acquisition of excellent talent in a non-face-to-face situation due to similar situations such as Covid-19. As a matter to be supplemented in general AI interviews, it is difficult to evaluate the reliability and qualitative factors. In addition, the AI interview is conducted not in a two-way Q&A, rather in a one-sided Q&A process. This paper intends to fuse the advantages of existing AI interviews and video interviews. When conducting an interview using AI image analysis technology, it supplements subjective information that evaluates interview management and provides quantitative analysis data and HR expert data. In this paper, image-based multi-modal AI image analysis technology, bioanalysis-based HR analysis technology, and web RTC-based P2P image communication technology are applied. The goal of applying this technology is to propose a method in which biological analysis results (gaze, posture, voice, gesture, landmark) and HR information (opinions or features based on user propensity) can be processed on a single screen to select the right person for the hire.

Research on the Quality of Employment Centered on Information Communication Technology Industry

  • Jeong, Soon Ki;Ahn, Jong Chang
    • International Journal of Internet, Broadcasting and Communication
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    • 제12권4호
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    • pp.238-247
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    • 2020
  • This study has a purpose to analyze quantitatively whether ICT industry provides the qualitative indicator of employment to attract excellent human resources. We investigate the relationships of labor market conditions among ICT manufacturing, non-ICT manufacturing, ICT services, non-ICT services. Therefore, the quantitative and qualitative indicators of employment (wages, working hours, admission and turnover, involuntary retirement, and the duration years of job) are analyzed for the ICT industry and IT workers. In order to quantitatively analyze qualitative indicators such as employment status and longevity, we used employment statistics. In order to compensate for the limitations of employment insurance data, the comparison analysis with the survey data of economically active population of the National Statistical Office was conducted. As a result of this research, ICT service industry has to improve the working conditions of employees and establish an ecosystem for a lifelong career base to grow as a specialist, need to pursue an investigation for ICT worker career shift, and promote standard labor contracts. In addition, protection of employees, ICT-related job vision and social respect have to be perused.

CHARACTERIZATION AND CLASSIFICATION BY NEAR INFRARED SPECTROSCOPY OF WAXES USED IN DAIRY TECHNOLOGY

  • Barzaghi, Stefania;Giardina, Claudia;Cattaneo, Tiziana M.P.;Giangiacomo, Roberto
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1252-1252
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    • 2001
  • The aim of this study was to evaluate the possibility to characterize and classify waxes applied on some type of cheeses to obtain good stability during handling and transportation. Generally, waxes are obtained from the petrochemical industry, nowadays there is the possibility to also use biodegradable waxes produced from microorganisms. Preliminary studies were carried out to optimize sample presentation in NIR analysis, such as melting conditions (influence of temperature) and coat thickness of wax. 12 waxes (biodegradable or not) were analysed by using an InfraAlyzer 500 (Bran+Luebbe). The sample size was performed cutting pieces of 1.5 cm (height) x 1.5 cm (width) x 1.5 mm (thickness), previously melted at 9$0^{\circ}C$. NIR spectra were collected at room temperature, and data were processed by Sesame Software (Bran+Luebbe) to evaluate qualitative differences among samples by cluster analysis. Waxes were gathered on the basis of their origin (petrochemical or microbial). To better understand the significance of the NIRS bands discriminating among waxes, a two-dimensional correlation with FT-IR spectra, collected by a FT-IR/ATR 420 (JASCO) instrument, was made using 2DCORR program (Galactic Industries). On the basis of its classification power, NIRS appears to be a promising tool when used in routine analysis for a qualitative control of raw materials.

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공공데이터와 감성분석을 이용한 대학평판시스템 (The College Reputation System using Public Data and Sentiment Analysis)

  • 김은아;이연식
    • 융합보안논문지
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    • 제18권1호
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    • pp.103-110
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    • 2018
  • 현대 사회는 인터넷과 SNS를 통해 발생하는 복합적이며 대량의 데이터를 수집 집계 분석하는 빅데이터 처리 기술이 여러 분야에서 요구되고 있다. 그 중 대표적인 활용분야가 기업이나 대학에 대한 평판을 평가하는 평판시스템이다. 대학평판을 측정하고 수치화하기 위해서는 공정하고 객관적인 자료와 효율적인 데이터 처리가 무엇보다도 중요하다. 이를 위하여 공공데이터 지표를 활용하여 정량지수를 구하였고, 뉴스 기사를 활용한 감성분석을 통해서 정성지수를 구한 후 혼합 대학평판 지수를 산출하였다. 본 논문에서는 대학평판을 측정하기 위하여 정량지수로 객관성을 확보하면서 감성적 평판을 반영한 혼합 대학평판 지수를 산출하였고 이를 바탕으로 혼합 대학평판 시스템을 제안하였다.

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Qualitative Content Analysis: The Meaningful Association between the Extension of Sports Leisure Culture and the Spread of Wearable Devices

  • KIM, Ji-Hye;KANG, Eungoo
    • 동아시아경상학회지
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    • 제10권4호
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    • pp.29-38
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    • 2022
  • Purpose - The present research aims to assess the meaningful association between the extension of sports leisure culture and the spread of wearable devices. The research will discuss the current utilization of wearable devices in sports leisure and the present and future application of wearable devices in sports perspectives. Research design, Data, and methodology - We have investigated and conducted the qualitative content analysis (QCA) to obtain the adequate textual dataset in the current literature and conducted an in-depth analysis of the incorporation of cloud computing in the leisure sports industry by focusing on the development of wearable technologies. Result - From the QCA, it is evident that there is a meaningful connection between the extension of sports leisure culture and the spread of wearable devices, figuring out four kinds of associations as follows: (1) Monitoring the Impact of Sporting Activities, (2) Benefits of Sensor Technology, (3) Reducing Sedentary Behaviors, and (4) Measuring Workload done in Sport Leisure. Conclusion - The present research concludes that wearable devices positively influence individuals to participate in sports and leisure activities. Various technologies are very effective in motivating individuals to adopt sports leisure culture mainly because there is a certain degree of satisfaction that individuals gain in seeing the level of physical activities.