• Journal of Information Processing Systems
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• v.16 no.6
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• pp.1238-1249
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• 2020

Throughout the world, aging populations and doctor shortages have helped drive the increasing demand for smart healthcare systems. Recently, these systems have benefited from the evolution of the Internet of Things (IoT), big data, and machine learning. However, these advances result in the generation of large amounts of data, making healthcare data analysis a major issue. These data have a number of complex properties such as high-dimensionality, irregularity, and sparsity, which makes efficient processing difficult to implement. These challenges are met by big data analytics. In this paper, we propose an innovative analytic framework for big healthcare data that are collected either from IoT wearable devices or from archived patient medical images. The proposed method would efficiently address the data heterogeneity problem using middleware between heterogeneous data sources and MapReduce Hadoop clusters. Furthermore, the proposed framework enables the use of both fog computing and cloud platforms to handle the problems faced through online and offline data processing, data storage, and data classification. Additionally, it guarantees robust and secure knowledge of patient medical data.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.2
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• pp.129-140
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• 2024

Omni-channel refers to a distribution channel through which consumers can purchase products without time and place constraints through the fusion of existing online and offline stores. Therefore, a study on the effect of the four characteristics of Omni-channel on customer satisfaction and preference was conducted among 350 and 365 Korean and Chinese consumers, respectively on customers of Olive Young and Watson China, representative drug store brands in Korea and China. Analysis was conducted using IBM SPSS 26.0's statistical package program. Frequency analysis, factor analysis, Cronbach alpha, correlation analysis, and regression analysis were performed. As a result of verifying the effect of Omni-channel characteristics on customer satisfaction, it was found that convenience, accessibility, and price fairness had a significant positive (+) effect on customer satisfaction for Korean and Chinese consumers. Customer satisfaction was found to have a significant positive (+) effect on preference. This is because Korean and Chinese consumers generally had high satisfaction and preference for Olive Young and Watsons.

• Koreanishche Zeitschrift fur Deutsche Sprachwissenschaft
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• v.10
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• pp.175-200
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• 2004

Bei verschiedenen $Gespr\"{a}chen$ zwischen Frauen und $M\"{a}nnern$ sind mehrere Unterschiede in $Gespr\"{a}chsstrategien$ und -verhalten des jeweiligen Geschlechts zu beobachten. Herkemmlichen Ansichten nach $f\"{u}hrten$ $M\"{a}inner$ $Gespr\"{a}iche$ mit Frauen eher dominativ, $w\"{a}hrend$ Frauen eine deutliche Vorliebe $f\"{u}r$ kooperativ erlaufende $Gespr\"{a}che$ zeigen. Um die $G\"{u}ltigkeit$ dieser Perspektive zu $pr\"{u}fen$, wurden in dieser Albeit insgesamt $zw\"{o}lf$ Beratungsgesprache herangezogen. Daraus ergab sich, dass $M\"{a}nner$ im $Gespr\"{a}ich$ statistisch $h\"{a}ufiger$ die anderen $Gespr\"{a}chsteilnehmer$ unterbrechen. Da ein $Gespr\"{a}ch$ ein komplex vernetztes soziales Geschehen ist, sollte diese Statistik bei der Bestimmung der $Gespr\"{a}chsverhalten$ von zwei Geschiechtern keine entscheidende Rolle spielen. Im Anschluss daran habe ich mick mit Hilfe einiger im Internet gesammelten Daten, mit den $Gesp\"{a}chsverhalten$ bei der so genannten Online-Kommunikation befasst. Bei der Online-Kommunikation lassen sich zwei kontrastive verbale $Umg\"{a}nge$ der Geschlechtern beobachten, $n\"{a}mlich$ ein reibungslos ablaufendes IRC(Internet Relay Chatting) und eine $auff\"{a}llige$ Debatte, die mehrfache Konflikte zwischen den Beteiligten zeigt. Um diese $Ph\"{a}nomene$ auf der Basis der $Gespr\"{a}chsanalyse$ zu $erl\"{a}utern$, werden vol allem das Konzept der Kooperation beim $Gespr\"{a}ch$ und die Dynamik der $Gespr\"{a}chsstruktur$ erneut begriffen. $Schlie{\ss}lich$ werden die unterschiedlichen $Gespr\"{a}chsverhalten$ von Frauen und $M\"{a}nnern$ folgend wiedergegeben: Bei realen Face-To-Face-$Gespr\"{a}chen$ setzen Frauen den Schwerpunkt auf die emotionale und interaktive Kooperation, $w\"{a}hrend$ Manner ihn auf die kognitive Kooperation setzen. Dieser Sachverhait $\"{a}ndert$ sich aber bei der Online-Kommunikation. Auch Manner halten die emotionale und interaktive Kooperation $f\"{u}r$ wichtig und $f\"{u}hren$ mehr kooperative und reibungslose $Gespr\"{a}iche$ mit Frauen. Doch in einer Debatte um ein Thema $verh\"{a}lt$ sich jeder Beteiligte anders. Die moisten benutzen die Strategien, die den geringen Unterschied zwischen den Geschlechtern in Anfangsbedingungen $vergr\"{o}{\ss}ern$, und gleichzeitig die individuellen Unterschiede zwischen demselben Geschiecht verschleichen. Dadurch kann eine Debatte zwischen Geschlechten in Streit ohne Kompromisse geraten.

• Journal of Korean Academy of Nursing Administration
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• v.20 no.5
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• pp.567-575
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• 2014

Purpose: This study was performed to investigate the effects of a blended learning program on ethical values in undergraduate nursing students. Methods: This study was a one group pretest-posttest design. Seventy-one undergraduate nursing students who were taking a nursing ethics course at K University in S city were conveniently selected. The blended learning program was undertaken for 120 minutes one day weekly for 15 weeks. It consisted of case-based learning through an online method combined with problem-based learning offline. Scores for ethical value were measured using the ethical values scale. Results: The ethical values score increased significantly in the students after the blended learning (p=.004). Of the subgroup of ethical values human-life, relationship with collaborator, and nursing job scores increased significantly in students after the blended learning, respectively (p=.034; p<.001; p<.001), the score for area as relationship with nursing clients decreased significantly in the students after the blended learning (p<.001). Conclusion: The blended learning program was identified as an educational program which induces a positive effect on the development of ethical values in undergraduate nursing students, and in future it can be utilized in nursing ethics education.

• Journal of information and communication convergence engineering
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• v.12 no.3
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• pp.168-172
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• 2014

In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

• The Journal of Industrial Distribution & Business
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• v.10 no.1
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• pp.39-49
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• 2019

Purpose - Previous studies examined effects of sharing economy in the fields such as accommodation and automobile sector, while there are lack of researches in the field of skill-sharing economy. By classifying skill-sharing into general and special skill-sharing, this study explored effects of variables such as transaction utility, social utility, sustainability utility, emotional utility, economic utility, and trust utility, on attitudes, intention, satisfaction, and loyalty of demand (i.e., customers) and supply (i.e., providers) sides, potential, and actual customers. Research design, data, and methodology - Data were collected via both online and offline surveys. This study applied factor analysis and multiple regression analysis for findings. Results - Results show that utilities for general suppliers' skill-sharing are significant than other cases. Among utilities, this study found that trust utility shows significant for the cases of special customers', general suppliers' and special suppliers' potential skill-sharing. The results implies that trust is crucial in the transaction of the sharing economy. Conclusions - Enhanced managerial systems help resolve issues on the sharing economy. This study provides implications what are positive effects of skill-sharing economy and recommends proper establishment of the sharing economy.

• The Journal of Industrial Distribution & Business
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• v.11 no.4
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• pp.7-18
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• 2020

Purpose: This research investigates the impact of technology adoption on organisation productivity. The framework has three independent variables viz. technological change, information technology (IT) infrastructure, and IT knowledge management and one dependent variable as organisational productivity. Research design, data and methodology: An explanatory research design with a quantitative research method was employed, and data was collected using a self-administered questionnaire using online as well as an offline survey. The sample consisted of 300 IT managers and senior-level executives (production as well as service team) in leading IT companies in Malaysia selected using snowball sampling. Normality and reliability assessment was performed in the first stage utilising SPSS 22, and Confirmatory Factory Analysis (CFA) was performed with maximum likelihood estimation to assess the internal consistency, convergent validity, and discriminant validity. Finally, Structural Equation Model (SEM) and path analysis are conducted using AMOS 22. Results: The research findings demonstrated that technological change and IT infrastructure positively and significantly impact the organisation's productivity while IT knowledge management has significant but negative impact on organizational productivity of IT companies in Malaysia. Conclusion: The research concludes that all three factors plays important role in deciding organizational producvity. Recommendations, implications, limitations and future research avenues are discussed.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.137-144
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• 2016

The followings are required to establish uniform principle of criminal jurisdiction for international cyber crime into customary international law; (1) clear guideline of UN for promoting national practice (2) formation of general practices based on these guidelines (3) these general practices should obtain legal confidence. International society is in close cooperation for investigating and controlling cyber threat. The US FBI has closed down the largest online crime space called 'Darkcode' and prosecuted related hackers based on joint investigation with 19 countries including England, Australia, Canada, Bosnia, Croatia, Israel, and Rumania. More and more people in Korea are raising their voices for joining cyber crime treaty, 'Budapest Treaty.' Budapest Treaty is the first international treaty prosecuting cyber crime by setting out detailed regulations on internet criminal act. Member countries have installed hotline for cyber crime and they act together. Except European countries, America, Canada, and Japan have joined the treaty. In case of Korea, from few years before, it is reviewing joining with Ministry of Foreign affairs, Ministry of Justice and the National Police but haven't made any conclusion. Different from offline crime, cyber crime is planned in advance and happens regardless of border. Therefore, international cooperation based on position of punishing criminals and international standards. Joining of Budapest international cyber crime treaty shall be done as soon as possible for enhancing national competence.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.321-331
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• 2020

The purpose of this study is to explore the impact of home stay platform on guests' willingness to comment online under the Shared home stay business model. Shared platform of home stay facility in addition to providing a variety of support services, help the landlord to the tenant do offline accommodation services, implementation, trading, will need to take some measures to actively promote the tenant groups to the landlord, the evaluation is objective, effective and sufficient number in order to better promote the sharing credit ecological establishment of home stay facility. In this study, consumers who have used the Shared home stay platform are taken as the research objects. The survey method adopts network questionnaire survey and Likert seven subscales. The statistical software SPSS24.0 program is used to process the data. Firstly, descriptive statistical analysis was conducted, followed by validity analysis and reliability analysis. After the reliability and validity of the questionnaire were determined, correlation analysis and regression analysis were used to verify the proposed hypothesis. The research results of this study are summarized as follows :(1) the usability of platform comment function, guest satisfaction and platform reward have a positive impact on the guest online comment willingness; (2) The credit mechanism of the platform has a positive regulating effect on the process of tenant satisfaction influencing tenant comment intention.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.179-200
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• 2019

Word-of-mouth (WoM) is defined by consumer activities that share information concerning consumption. WoM activities have long been recognized as important in corporate marketing processes and have received much attention, especially in the marketing field. Recently, according to the development of the Internet, the way in which people exchange information in online news and online communities has been expanded, and WoM is diversified in terms of word of mouth, score, rating, and liking. Social media makes online users easy access to information and online WoM is considered a key source of information. Although various studies on WoM have been preceded by this phenomenon, there is no meta-analysis study that comprehensively analyzes them. This study proposed a method to extract major researches by applying text mining techniques and to grasp the main issues of researches in order to find the trend of WoM research using scholarly big data. To this end, a total of 4389 documents were collected by the keyword 'Word-of-mouth' from 1941 to 2018 in Scopus (www.scopus.com), a citation database, and the data were refined through preprocessing such as English morphological analysis, stopwords removal, and noun extraction. To carry out this study, we adopted main path analysis (MPA) and word co-occurrence network analysis. MPA detects key researches and is used to track the development trajectory of academic field, and presents the research trend from a macro perspective. For this, we constructed a citation network based on the collected data. The node means a document and the link means a citation relation in citation network. We then detected the key-route main path by applying SPC (Search Path Count) weights. As a result, the main path composed of 30 documents extracted from a citation network. The main path was able to confirm the change of the academic area which was developing along with the change of the times reflecting the industrial change such as various industrial groups. The results of MPA revealed that WoM research was distinguished by five periods: (1) establishment of aspects and critical elements of WoM, (2) relationship analysis between WoM variables, (3) beginning of researches of online WoM, (4) relationship analysis between WoM and purchase, and (5) broadening of topics. It was found that changes within the industry was reflected in the results such as online development and social media. Very recent studies showed that the topics and approaches related WoM were being diversified to circumstantial changes. However, the results showed that even though WoM was used in diverse fields, the main stream of the researches of WoM from the start to the end, was related to marketing and figuring out the influential factors that proliferate WoM. By applying word co-occurrence network analysis, the research trend is presented from a microscopic point of view. Word co-occurrence network was constructed to analyze the relationship between keywords and social network analysis (SNA) was utilized. We divided the data into three periods to investigate the periodic changes and trends in discussion of WoM. SNA showed that Period 1 (1941~2008) consisted of clusters regarding relationship, source, and consumers. Period 2 (2009~2013) contained clusters of satisfaction, community, social networks, review, and internet. Clusters of period 3 (2014~2018) involved satisfaction, medium, review, and interview. The periodic changes of clusters showed transition from offline to online WoM. Media of WoM have become an important factor in spreading the words. This study conducted a quantitative meta-analysis based on scholarly big data regarding WoM. The main contribution of this study is that it provides a micro perspective on the research trend of WoM as well as the macro perspective. The limitation of this study is that the citation network constructed in this study is a network based on the direct citation relation of the collected documents for MPA.