• Title/Summary/Keyword: 선별 탐색

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Experiences of Smartphone Addiction among University Students (대학생의 스마트폰 중독 경험)

  • Jin, Juhye
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.421-429
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    • 2017
  • The high rates of smartphone usage among younger people and the negative impacts are well-known, but there remains a paucity of qualitative research on the topic. This study was designed to explore the experiences of university students addicted to smartphones. The author conducted in-depth individual interviews with 17 university students who scored in the upper 5th percentile on a smartphone addiction scale. All interviews were audiotaped, transcribed, and analyzed using qualitative content analysis. Students with a smartphone addiction were trapped in a vicious cycle. More specifically, they were "Realizing something was wrong with withdrawal symptoms," "Having negative consequences," "Seeking escape," and "Staying addicted." This study helped participating students realize their addiction and disclose their emotional and interpersonal difficulties related to their smartphone use. These understandings may be used to refine and further develop school-based programs to better help those addicted to smartphones to recover.

Clinical Convergence Study on Attention Processing of Individuals with Social Anxiety Tendency : Focusing on Positive Stimulation in Emotional Context (사회불안성향자의 주의 과정에 관한 임상 융합 연구 : 정서맥락에서 긍정 자극을 중심으로)

  • Park, Ji-Yoon;Yoon, Hyae-Young
    • Journal of the Korea Convergence Society
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    • v.9 no.3
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    • pp.79-90
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    • 2018
  • The purpose of this study was to investigate the difference of individuals with social anxiety tendency and normal people according to existence of emotional context in attention processing for positive facial stimulation. To do this, we investigated attentional processing for positive face stimuli in a condition without/with emotional context. SADS and CES-D were administered to 800 undergraduate students in D city and the social anxiety group (SA, n=24) and the normal control group (NC, n=24) were selected. In order to measure the two factors of attention process (attention engagement and attention disengagement), first gaze direction and first gaze time were measured through eye-movement tracking. The results show that the SA group exhibited faster attention disengagement from positive face stimuli compared to the NC group in the condition without context. But, when the positive context presented with positive face stimuli, there is no difference between SA and NC. This result suggests that the positive background affects emotional processing of social anxiety disorder.

Rapid Screening Method of Peroxidase by Colorimetric Assay and Screening of 2, 4-DCP Degradable Strains (발색법에 의한 Peroxidase의 신속한 스크리닝법과 2, 4-DCP 분해균주의 스크리닝)

  • Ryu, Kang;Lee, Eun-Kyu
    • KSBB Journal
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    • v.23 no.6
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    • pp.484-488
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    • 2008
  • Chlorinated phenols are widely used by the chemical industry as intermediate products in synthesis and previously were frequently applied to various industry fields. Peroxidases catalyze the peroxide-dependent oxidation of a range of inorganic and organic compounds. Peroxidase was shown to mineralize a variety of recalcitrant aromatic compounds and to oxidize a number of polycyclic aromatic and phenolic compounds. Among monomeric phenolic and nonphenolic compounds, peroxidase is known to oxidize its compounds. In this study, a colorimetric assay was developed to quantitatively evaluate the peroxidase activity for rapid screening. Color products of different intensity were developed proportionally to the peroxidase activity on agar plate and 96-well plate. This method correlates well with the RP-HPLC result. Using this screening method, 12 colonies of strain was screened which survived at high concentration of 2,4-DCP (1000 ppm) and with peroxidase activity for the $7^{th}$ round screening step on agar plate. These strains were utilized 2,4-DCP as a sole carbon source and produced peroxidase. After the screening test, four of the bacteria have significant better effect of COD removal on dye waste-water. COD removal of these was from 44% to 61%, respectively.

A Study on the Factors affecting the Electrical and Electronics Industry Trading Volume between Korea and China (한·중 전기전자산업 물동량에 영향을 미치는 요인에 관한 연구)

  • An, Young Mo;Kwon, Moon Kyu;Nam, Ki-Chan;Kwak, Kyu-Seok
    • Journal of Navigation and Port Research
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    • v.37 no.6
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    • pp.719-725
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    • 2013
  • Northeast Asia region is becoming the hub of world trade with China as the center. Integration of this region's economy is now visualized, domestic trade and international division of labor will be more invigorated. Especially on electrical and electronics industry is a large proportion of the trading volume between Korea and China and now, Present condition of electrical and electronics trading industry can effect on whole trading industry. In this study, conducting analysis of the current Korea-China electrical and electronics industry trading and advanced research, and find out the implication to trading volume with the panel analysis. As the results Korean/Chinese GDP, revealed comparative advantage, and foreign direct investment have an effect on the trading volume.

Optimal LAN Design Using a Pareto Stratum-Niche Cubicle Genetic Algorithm (PS-NC GA를 이용한 최적 LAN 설계)

  • Choi, Kang-Hee;Jung, Kyoung-Hee
    • Journal of the Korea Computer Industry Society
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    • v.6 no.3
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    • pp.539-550
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    • 2005
  • The spanning tree, which is being used the most widely in indoor wiring network, is chosen for the network topology of the optimal LAN design. To apply a spanning tree to GA, the concept of $Pr\ddot{u}fer$ numbers is used. $Pr\ddot{u}fer$ numbers can express he spanning tree in an efficient and brief way, and also can properly represent the characteristics of spanning trees. This paper uses Pareto Stratum-Niche Cubicle(PS-NC) GA by complementing the defect of the same priority allowance in non-dominated solutions of pareto genetic algorithm(PGA). By applying the PS-NC GA to the LAN design areas, the optimal LAN topology design in terms of minimizing both message delay time and connection-cost could be accomplished in a relatively short time. Numerical analysis has been done for a hypothetical data set. The results show that the proposed algorithm could provide better or good solutions for the multi-objective LAN design problem in a fairly short time.

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A Study on Fuzzy Searching Algorithm and Conditional-GAN for Crime Prediction System (범죄예측시스템에 대한 퍼지 탐색 알고리즘과 GAN 상태에 관한 연구)

  • Afonso, Carmelita;Yun, Han-Kyung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.2
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    • pp.149-160
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    • 2021
  • In this study, artificial intelligence-based algorithms were proposed, which included a fuzzy search for matching suspects between current and historical crimes in order to obtain related cases in criminal history, as well as conditional generative adversarial networks for crime prediction system (CPS) using Timor-Leste as a case study. By comparing the data from the criminal records, the built algorithms transform witness descriptions in the form of sketches into realistic face images. The proposed algorithms and CPS's findings confirmed that they are useful for rapidly reducing both the time and successful duties of police officers in dealing with crimes. Since it is difficult to maintain social safety nets with inadequate human resources and budgets, the proposed implemented system would significantly assist in improving the criminal investigation process in Timor-Leste.

Realtime Media Streaming Technique Based on Adaptive Weight in Hybrid CDN/P2P Architecture

  • Lee, Jun Pyo
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.3
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    • pp.1-7
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    • 2021
  • In this paper, optimized media data retrieval and transmission based on the Hybrid CDN/P2P architecture and selective storage through user's prediction of requestability enable seamless data transfer to users and reduction of unnecessary traffic. We also propose a new media management method to minimize the possibility of transmission delay and packet loss so that media can be utilized in real time. To this end, we construct each media into logical segments, continuously compute weights for each segment, and determine whether to store segment data based on the calculated weights. We also designate scattered computing nodes on the network as local groups by distance and ensure that storage space is efficiently shared and utilized within those groups. Experiments conducted to verify the efficiency of the proposed technique have shown that the proposed method yields a relatively good performance evaluation compared to the existing methods, which can enable both initial latency reduction and seamless transmission.

Predicting Default Risk among Young Adults with Random Forest Algorithm (랜덤포레스트 모델을 활용한 청년층 차입자의 채무 불이행 위험 연구)

  • Lee, Jonghee
    • Journal of Family Resource Management and Policy Review
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    • v.26 no.3
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    • pp.19-34
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    • 2022
  • There are growing concerns about debt insolvency among youth and low-income households. The deterioration in household debt quality among young people is due to a combination of sluggish employment, an increase in student loan burden and an increase in high-interest loans from the secondary financial sector. The purpose of this study was to explore the possibility of household debt default among young borrowers in Korea and to predict the factors affecting this possibility. This study utilized the 2021 Household Finance and Welfare Survey and used random forest algorithm to comprehensively analyze factors related to the possibility of default risk among young adults. This study presented the importance index and partial dependence charts of major determinants. This study found that the ratio of debt to assets(DTA), medical costs, household default risk index (HDRI), communication costs, and housing costs the focal independent variables.

An Analysis of Competitive Structure among Entertainment Industries, focusing on Consumption Motives (관람동기를 기준으로 한 엔터테인먼트 산업간 경쟁구조 분석에 관한 연구)

  • 김찬경;최현주
    • Asia Marketing Journal
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    • v.5 no.3
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    • pp.35-59
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    • 2003
  • 본 연구는 동일 제품범주 내에서 상호 대체가능성(substitutability)을 중심으로 연구 되어 왔던 상표간의 사용상황 대체(substitution-in-use) 이론을 산업간 경쟁의 차원으로 확대하여 적용할 수 있는 가능성을 탐색하는데 그 목적이 있다. 이를 위해 소비자의 소비경험이 선택기준의 중요한 요소로 작용하는 서비스부문을 대상으로 소비자의 선택동기, 즉 소비동기의 차원에서 산업간 경쟁구조와 경쟁강도를 분석하고자 하였다. 연구의 범위는 마케팅 분야에서 비교적 소외되어 왔던 엔터테인먼트 부문, 특히 문화예술부문과 스포츠부문에 초점을 맞추었다. 연구방법으로는 이들간의 심리적 거리를 측정하여, 그 근접성의 정도에 따라 산업간 경쟁구조와 경쟁특성을 분석하였다. 분석도구는 그 동안 마케팅의 영역에서 특정 산업 내에의 상표간 경쟁구조를 연구하는데 이용되었던 심리적 거리측정도구를 이용하였다. 이에 따라 구매자의 사용목적에 따른 상표간 대체 가능성을 산업간의 심리적 근접성을 이용해 측정하고 그 거리의 크기에 따라 경쟁강도의 선택의 대체성을 분석하였다. 방법론적 측면에서는 먼저 엔터테인먼트산업, 문화예술과 공연예술산업, 그리고 스포츠 등의 소비동기 유형을 살펴본 후, 이들 중에서 중복가능성이 있는 동기유형을 선별하였다. 이에 따라 다양한 관람 엔터테인먼트산업에서 나타나고 있는 12개의 소비동기 유 형을 발견할 수 있었다. 이후 이렇게 추출된 동기유형을 대상으로 산업간 대체성을 심적 거리좌표를 이용하여 측정하고 측정된 자료를 다차원척도법(MDS)을 이용해 2차원의 공간 상에 투사하였다. 그리고 상호간의 근접성과 경쟁구조를 확인하고 분석결과에 대해 논의 하였다. 분석결과 엔터테인먼트 상품들간에는 근접성의 차원에서 서로 대체될 수 있음을 발견할 수 있었고 이는 이들이 동일한 시장을 대상으로 경쟁관계가 있음을 시사하는 것이다. 개별 관람동기 차원의 분석 결과, 관람 엔터테인먼트 소비자들은 동일한 관람동기를 서로 다른 많은 유형의 엔터테인먼트산업이나 공연예술, 문화예술상품, 쇼나 오락, 관람스포츠 등에 의해 해결하고 있음을 발견할 수 있었다. 본 연구에서 사용한 접근방법과 연구의 결과는 향후 간접적 관계에서 직접적 관계로 경쟁이 확대되는 많은 마케팅분야에 적용될 수 있을 것이다.

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Comparison of Epistemic Characteristics of Using Primary and Secondary Data in Inquiries about Noise Conducted by Elementary School Preservice Teachers: Focusing on the Cases of Science Inquiry Reports (소음에 대한 초등 예비교사들의 탐구에서 나타나는 1차 데이터와 2차 데이터 활용의 인식적 특징 비교 - 과학탐구 보고서 사례를 중심으로 -)

  • Chang, Jina;Na, Jiyeon
    • Journal of Korean Elementary Science Education
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    • v.43 no.1
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    • pp.81-94
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    • 2024
  • This study explores and conducts an in-depth comparison of the epistemic characteristics in different data types utilized in the science inquiries of preservice teachers regarding noise as a risk in everyday life. Focusing on primary and secondary data in the context of science inquiries about noise, we examined how these data types differ in science inquires in terms of inquiry design, data collection, and analyses. The findings reveal that sensor-based primary data enable direct measurement and observation of key phenomena. Conversely, secondary data rely on predetermined measurement methods within a public data system. These differences require different epistemic considerations during the inquiry process. Based on these findings, we discuss the educational implications concerning teaching approaches for science inquiries, teacher education for inquiry teaching, and the development of risk response competencies in preparation for the VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) era.