Integrated Framework for FUN on the Internet and Mobile Services

Soonjae Kwon,Emy Elyanee Mustapha 한국인터넷전자상거래학회 2016 인터넷전자상거래연구 Vol.16 No.2

This research was designed 1) to define and validate fun as a construct; 2) to compare two different applications(Internet and mobile services). The new four dimension of fun are introduced which are sociability, contentment, achievement and enthusiasm. Dimension of fun is critical to understand IS differentiated between new and established applications. The development of the new fun construct should be extended further to include bigger and wider range of sample especially during the content validation. The comparison study done for to compare usage of mobile service and Internet showed interesting results. These results are suggesting that application types do differentiate type of fun that users experience.

Why Users Continue to Use SNS(Social Network Services)?

Soonjae Kwon 한국인터넷전자상거래학회 2015 인터넷전자상거래연구 Vol.15 No.2

Most people are spending more time on SNS than on video call, voice call and SMS, in korea. Why do users spend so much time on using SNS? Do we use SNS just for fun or for getting information and knowledge? Or maybe we are just addicted to it? To explore the users" action of continually using SNS, we suggest a set of propositions in this exploration and put forward three kinds of methods to prove the propositions true. In this paper, we also put forward a new viewpoint according to Aristotle"s Teleology, Praxeology and Evolutionary Psychology. We have four main steps in this paper for exploring SNS users" actions of continuance usage and finally try to prove the proposition. First, study the concept of the existing information system, Praxeology, Aristotle"s Teleology and Evolutionary Psychology; Second, analysis the behavior patterns of users who continually use SNS; Third, find the relationships between the concepts and users’ actions; Forth, propose propositions and try to prove them true through those correlative analysis.

Analyzing the effect of cognitive map on decision makers’ semantic and syntactic comprehension, and inferential problem solving performance

Soonjae Kwon 한국인터넷전자상거래학회 2018 인터넷전자상거래연구 Vol.18 No.2

In the field of decision making field, cognitive map (CM) has been regarded as a unique and robust mechanism for problem-solving. Despite that a huge number of studies had been reported about the usefulness of cognitive map on complicated decision making problems, there is no explicit study on how the CM influences decision makers’ semantic and syntactic comprehension, and inferential problem-solving. To fill the research void like this, this study proposes related hypotheses, and conducts experiments in which participants are grouped into two application domain types (familiar vs unfamiliar), and two types about CM knowledge (high CM knowledge vs low CM knowledge). Experimental results showed that CM can be used in significantly enhancing decision makers’ semantic and syntactic comprehension, as well as inferential problem-solving.

Youtube as a Potential Training Method for Laparoscopic Splenectomy

Soonjae Kwon(권순재),Jun Suh Lee 대한외과학회 2021 대한외과학회 학술대회 초록집 Vol.2021 No.5

전류모드 CMOS를 이용한 다치논리의 Encoder-Decoder 설계

권순재(SoonJae-Kwon),정준성(JunSung-Jung),강수복(SooBok-Kang),송홍복(HongBok-Song) 대한전자공학회 1995 대한전자공학회 학술대회 Vol.1995 No.6

VR기술을 적용한 가스설비 O&M 활용 방안

권순재(Soonjae Kwon),임재문(Jaemoon Lim) 한국가스학회 2020 한국가스학회 학술대회논문집 Vol.2020 No.10

K-Means Clustering 알고리즘과 헤도닉 모형을 활용한 서울시 연립 · 다세대 군집분류 방법에 관한 연구

권순재(Soonjae Kwon),김성현(Seonghyeon Kim),탁온식(Onsik Tak),정현희(Hyeonhee Jeong) 한국지능정보시스템학회 2017 지능정보연구 Vol.23 No.3

최근 도심을 중심으로 연립 · 다세대의 거래가 활성화되고 직방, 다방등과 같은 플랫폼 서비스가 성장하고 있다. 연립 · 다세대는 수요 변화에 따른 시장 규모 확대와 함께 정보 비대칭으로 인해 사회적 문제가 발생 되는 등 부동산 정보의 사각지대이다. 또한, 서울특별시 또는 한국감정원에서 사용하는 5개 또는 25개의 권역 구분은 행정구역 내부를 중심으로 설정되었으며, 기존의 부동산 연구에서 사용되어 왔다. 이는 도시계획에 의한 권역구분이기 때문에 부동산 연구를 위한 권역 구분이 아니다. 이에 본 연구에서는 기존 연구를 토대로 향후 주택가격추정에 있어 서울특별시의 공간구조를 재설정할 필요가 있다고 보았다. 이에 본 연구에서는 연립 · 다세대 실거래가 데이터를 기초로 하여 헤도닉 모형에 적용하였으며, 이를 K-Means Clustering 알고리즘을 사용해 서울특별시의 공간구조를 다시 군집하였다. 본 연구에서는 2014년 1월부터 2016년 12월까지 3년간 국토교통부의 서울시 연립 · 다세대 실거래가 데이터와 2016년 공시지가를 활용하였다. 실거래가 데이터에서 본 연구에서는 지하거래제거, 면적당 가격 표준화 및 5이상 -5이하의 실거래 사례 제거와 같이 데이터 제거를 통한 데이터 전처리 작업을 수행하였다. 데이터전처리 후 고정된 초기값 설정으로 결정된 중심점이 매번 같은 결과로 나오게 K-means Clustering을 수행한 후 군집 별로 헤도닉 모형을 활용한 회귀분석을 하였으며, 코사인 유사도를 계산하여 유사성 분석을 진행하였다. 이에 본 연구의 결과는 모형 적합도가 평균 75% 이상으로, 헤도닉 모형에 사용된 변수는 유의미하였다. 즉, 기존 서울을 행정구역 25개 또는 5개의 권역으로 나뉘어 실거래가지수 등 부동산 가격 관련 통계지표를 작성하던 방식을 속성의 영향력이 유사한 영역을 묶어 16개의 구역으로 나누었다. 따라서 본 연구에서는 K-Means Clustering 알고리즘에 실거래가 데이터로 헤도닉 모형을 활용하여 연립․다세대 실거래가를 기반으로 한 군집분류방법을 도출하였다. 또한, 학문적 실무적 시사점을 제시하였고, 본 연구의 한계점과 향후 연구 방향에 대해 제시하였다. Recent centrally the downtown area, the transaction between the row housing and multiplex housing is activated and platform services such as Zigbang and Dabang are growing. The row housing and multiplex housing is a blind spot for real estate information. Because there is a social problem, due to the change in market size and information asymmetry due to changes in demand. Also, the 5 or 25 districts used by the Seoul Metropolitan Government or the Korean Appraisal Board(hereafter, KAB) were established within the administrative boundaries and used in existing real estate studies. This is not a district classification for real estate researches because it is zoned urban planning. Based on the existing study, this study found that the city needs to reset the Seoul Metropolitan Government"s spatial structure in estimating future housing prices. So, This study attempted to classify the area without spatial heterogeneity by the reflected the property price characteristics of row housing and Multiplex housing. In other words, There has been a problem that an inefficient side has arisen due to the simple division by the existing administrative district. Therefore, this study aims to cluster Seoul as a new area for more efficient real estate analysis. This study was applied to the hedonic model based on the real transactions price data of row housing and multiplex housing. And the K-Means Clustering algorithm was used to cluster the spatial structure of Seoul. In this study, data onto real transactions price of the Seoul Row housing and Multiplex Housing from January 2014 to December 2016, and the official land value of 2016 was used and it provided by Ministry of Land, Infrastructure and Transport(hereafter, MOLIT). Data preprocessing was followed by the following processing procedures: Removal of underground transaction, Price standardization per area, Removal of Real transaction case(above 5 and below -5). In this study, we analyzed data from 132,707 cases to 126,759 data through data preprocessing. The data analysis tool used the R program. After data preprocessing, data model was constructed. Priority, the K-means Clustering was performed. In addition, a regression analysis was conducted using Hedonic model and it was conducted a cosine similarity analysis. Based on the constructed data model, we clustered on the basis of the longitude and latitude of Seoul and conducted comparative analysis of existing area. The results of this study indicated that the goodness of fit of the model was above 75 % and the variables used for the Hedonic model were significant. In other words, 5 or 25 districts that is the area of the existing administrative area are divided into 16 districts. So, this study derived a clustering method of row housing and multiplex housing in Seoul using K-Means Clustering algorithm and hedonic model by the reflected the property price characteristics. Moreover, they presented academic and practical implications and presented the limitations of this study and the direction of future research. Academic implication has clustered by reflecting the property price characteristics in order to improve the problems of the areas used in the Seoul Metropolitan Government, KAB, and Existing Real Estate Research. Another academic implications are that apartments were the main study of existing real estate research, and has proposed a method of classifying area in Seoul using public information(i.e., real-data of MOLIT) of government 3.0. Practical implication is that it can be used as a basic data for real estate related research on row housing and multiplex housing. Another practical implications are that is expected the activation of row housing and multiplex housing research and, that is expected to increase the accuracy of the model of the actual transaction. The future research direction of this study involves conducting various analyses to overcome the limitations of the threshold and indicates the need for deeper researc

도시가스 정압설비 디지털트윈을 위한 BIM 3D 적용 3D 모델 라이브러리 구축에 관한 연구

권순재(SoonJae Kwon),박병엽(Byoung-Yeop Park) 한국가스학회 2021 한국가스학회 학술대회논문집 Vol.2021 No.11

Frequency Up-Conversion Hybrid Energy Harvester Combining Piezoelectric and Electromagnetic Transduction Mechanisms

Soonjae Pyo,Dae-Sung Kwon,Hee-Jin Ko,Youngkee Eun,Jongbaeg Kim 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.1

A hybrid energy harvester with frequency up-conversion structures is proposed. The harvester achieves a high power output by utilizing both piezoelectric and electromagnetic transduction mechanisms. The harvester comprises a flexible substrate and two (internal and external) cantilevers. The internal and external cantilevers used for piezoelectric and electromagnetic conversion, respectively, are arranged such that the piezoelectric internal cantilever can vibrate with a large displacement to produce high output power. We use a frequency up-conversion method to convert the bending of the harvester into the vibration of the structure so that the harvester can generate energy even from the mechanical motion with an extremely low frequency. Two harvester configurations are investigated to validate the effect of the relative positions of the coil and magnet on the output voltage of the harvester. The maximum power output of the hybrid harvester is 7.38 mW, with outputs of 1.35 and 6.03 mW for piezoelectric and electromagnetic conversion, respectively.

初生兒黃疸의 臨床觀察 및 未熟兒의 血淸빌리루빈濃度

權泰喜,馬順子,陳東植,金孝圭 대한소아과학회 1966 小兒科 Vol.9 No.1