• Science of Emotion and Sensibility
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• v.24 no.1
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• pp.91-104
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• 2021

This study explored users' emotional states identified from the wake-up words -"Hi, KIA!"- using a machine learning algorithm considering the user interface of passenger cars' voice. We targeted four emotional states, namely, excited, angry, desperate, and neutral, and created a total of 12 emotional scenarios in the context of car driving. Nine college students participated and recorded sentences as guided in the visualized scenario. The wake-up words were extracted from whole sentences, resulting in two data sets. We used the soundgen package and svmRadial method of caret package in open source-based R code to collect acoustic features of the recorded voices and performed machine learning-based analysis to determine the predictability of the modeled algorithm. We compared the accuracy of wake-up words (60.19%: 22%~81%) with that of whole sentences (41.51%) for all nine participants in relation to the four emotional categories. Accuracy and sensitivity performance of individual differences were noticeable, while the selected features were relatively constant. This study provides empirical evidence regarding the potential application of the wake-up words in the practice of emotion-driven user experience in communication between users and the artificial intelligence system.

• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.15-21
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• 2020

Although IoT systems are used in a variety of heterogeneous environments as cloud environments develop, all IoT devices are not provided with reliable protocols and services. This paper proposes an IoT data management technique that can extend the IoT cloud environment to an n-layer multi-level structure so that information collected from different heterogeneous IoT devices can be efficiently sorted and processed. The proposed technique aims to classify and process IoT information by transmitting routing information and weight information through wireless data link data collected from heterogeneous IoT devices. The proposed technique not only delivers information classified from IoT devices to the corresponding routing path but also improves the efficiency of IoT data processing by assigning priority according to weight information. The IoT devices used in the proposed technique use each other's reliable protocols, and queries for other IoT devices locally through a local cloud composed of hierarchical structures have features that ensure scalability because they maintain a certain cost.y channels of IoT information in order to make the most of the multiple antenna technology.

• Journal of the Korean Society of Radiology
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• v.14 no.7
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• pp.915-922
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• 2020

This study analyzed the content of use Tendency and addiction according to smartphone use of targeting radiological Technologist working in Gyeongnam area. The tool used as the data for the study is a survey. From April 21 to May 31, 2019, a total of 330 questionnaires were distributed to radiological Technologist working at medical institutions in Gyeongnam, and 300 copies suitable for the study were SPSS/PC Ver 18.0 program for Analysis was performed using. The factors of the study subject's tendency to use smartphone were communication, information, leisure, and convenience. As for the addiction factors, a total of 37 questions were analyzed, including daily living disorder, virtual world orientation, tolerance, and withdrawal. Smartphone-related characteristics were set as monthly average fee, usage time, and SNS usage time, and technical statistics, t-test, ANOVA, correlation and regression analysis were performed. The radiological Technologist tendency to use smartphones was 3.10±.55 points, which was average, and smartphone addiction was 2.34±.62 points, which was lower than the average. It was found that there was a significant correlation between the radiological Technologist Tendency to use smartphone and addiction. The effect of radiological Technologist tendency to use smartphone on addiction it was found to account for 10.8%. Through this study, it can be said that it is important to analyze the addiction factors according to the tendency use smartphone of radiological Technologist and to prepare a desirable plan for smartphone use.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.262-269
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• 2021

The Ministry of National Defense is re-establishing the role of the Army in accordance with the defense reform and is promoting the Warrior Platform, a next-generation individual combat system. The Warrior Platform project is divided into three stages and is being promoted. In the first stage, the quality and performance of individual items are improved, in the second stage, items between system development are integrated, and in the third stage, the combat capability is maximized by developing an integrated unit weapon system. In this paper, detailed sub-items for the five essential required competencies (survival, lethality, mobility, sustainability, Communication) that are considered for building an effective warrior platform are presented. We also present a plan that can be used to prepare a specific master plan for the Army's Warrior Platform project by using Analytic Hierarchy Process(AHP) and selecting the priority of the five required capabilities and detailed sub-items for different unit types. As a result of analyzing the priorities of the four types of units with different mission types, we find that there are differences for each unit. These results are expected to be used as useful reference materials for setting the future direction for the development of warrior platform.

• The Korean Journal of Applied Statistics
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• v.34 no.1
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• pp.115-126
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• 2021

Central banks communicate with the market through a statement on the direction of monetary policy while implementing monetary policy. The rapid contraction of the global economy due to the recent Covid-19 pandemic could be compared to the crisis situation during the 2008 global financial crisis. In this paper, we analyzed the text data from the monetary policy statements of the Bank of Korea and Fed reflecting monetary policy directions focusing on how they were affected in the face of a global crisis. For analysis, we collected the text data of the two countries' monetary policy direction reports published from October 1999 to September 2020. We examined the semantic features using word cloud and word embedding, and analyzed the trend of the similarity between two countries' documents through a piecewise regression tree model. The visualization result shows that both the Bank of Korea and the US Fed have published the statements with refined words of clear meaning for transparent and effective communication with the market. The analysis of the dissimilarity trend of documents in both countries also shows that there exists a sense of synchronization between them as the rapid changes in the global economic environment affect monetary policy.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.3
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• pp.73-86
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• 2021

The primary purpose of this paper is to explore the advanced models that predict entrepreneurial innovativeness most accurately. For the first time in the field of entrepreneurship research, it presents a model that predicts entrepreneurial innovativeness based on machine learning corresponding to data scientific approaches. It uses 22,099 the Global Entrepreneurship Monitor (GEM) data from 62 countries to build predictive models. Based on the data set consisting of 27 explanatory variables, it builds predictive models that are traditional statistical methods such as multiple regression analysis and machine learning models such as regression tree, random forest, XG boost, and artificial neural networks. Then, it compares the performance of each model. It uses indicators such as root mean square error (RMSE), mean analysis error (MAE) and correlation to evaluate the performance of the model. The analysis of result is that all five machine learning models perform better than traditional methods, while the best predictive performance model was XG boost. In predicting it through XG boost, the variables with high contribution are entrepreneurial opportunities and cross-term variables of market expansion, which indicates that the type of entrepreneur who wants to acquire opportunities in new markets exhibits high innovativeness.

• Journal of Information Technology Applications and Management
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• v.28 no.3
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• pp.59-75
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• 2021

This study aims to establish a foundation for autonomous driving on campus and communication of abundant university information in the HCI environment in a VR environment where college freshmen can freely travel around campus facilities. The purpose of this study is to develop a three-dimensional VR-style campus tour system to establish a media environment to provide abundant university information guidance services to freshmen in non-face-to-face situations. This study designed a three-dimensional virtual reality campus tour system to solve the problem of discontinuity in which VR360 filming space does not lead to space like reality, and to solve many problems of expertise in VR technology by constructing an integrated production environment of tour system. We aim to solve the problem of inefficiency, which requires a large amount of momentum in virtual space, by constructing a GUI that utilizes the motion of the field of view focus. The campus environment was designed as a three-dimensional virtual reality using a three-dimensional graphic design. In non-face-to-face situations, college freshmen freely transformed the HMD VR device, smartphone, FPS operation mode of the gyroscope sensor. The design elements of the three-dimensional virtual reality campus tour system were classified as ①Visualization of factual experiences, ②Continuity of space movement, ③Operation, automatic operation mode, ④Natural landscape animation, ⑤Animation according to wind direction, ⑥Actual space movement mode, ⑦Informatization of spatial understanding, ⑧GUI by experience environment, ⑨Text GUI by building, ⑩VR360, 3D360 Studio Environment, ⑪Three-dimensional virtual space coupling block module, ⑫3D360-3D Virtual Space Transmedia Zone, ⑬Transformable GUI(VR Device Dual Viewer-Gyro Sensor Full Viewer-FPS Operation Viewer) and an integrated production environment was established with each element. It is launched online (http://vautu.com/u1) by constructing a GUI for free driving mode and college information screens to adapt to college life for freshmen, and designing an environment that can be used simultaneously by current media such as PCs, Android, and iPads. Therefore, it conducted user research, held a development presentation, a forum on excellence in university innovation support projects, and applied it as a system on the website of a particular university. College freshmen will be able to experience university information directly from the web and app to the virtual reality campus environment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.333-337
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• 2021

Companion animals are physically, mentally, and socially beneficial to humans, giving us great comfort in living in the Corona19 (COVID-19) era. It is also an era of the Fourth Industrial Revolution, featuring the convergence of information and communication technology. Korea, which is facing a super-aged society, has the highest suicide rate among OECD countries, and companion animals that are effective in emotional stability can be the answer. This study is about companion animals that are effective in stabilizing the emotions of the elderly, one of the major problems in the Republic of Korea, which is about to solve in a super-aged society with more than 20 percent of the elderly aged 65 or older, needs to solve. The impact of knowledge of raising companion animals on the satisfaction level of the elderly was investigated through the management and awareness of infectious diseases. Although the level of care of companion animals had a very significant (p<0.001) effect on the satisfaction of the companion animals, the recognition of infectious diseases has no statistical significance (p>0.05). Raising companion animals with knowledge of rearing increases the satisfaction level and can lead to a happier life. While personal learning is important, it is also believed that supporting education will be necessary as a policy consideration.

• Journal of Korean Clinical Nursing Research
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• v.26 no.3
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• pp.395-406
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• 2020

Purpose: The purpose of this study was to analyze nurse staffing according to patients' acuity and dependency by measuring nursing hours. Methods: The study sample included patients who visited the adult emergency departments (EDs) of three tertiary referral hospitals and nurses who worked on shifts for 48 hours from October 24 to 26, 2019. Hourly patient census and nurse staffing were analyzed. Patient acuity was measured using the Korean Triage and Acuity Scale (KTAS), ranging from Level 1 (highest) to Level 5 (lowest). Patient dependency was measured using six items (e.g., clinical attention and communication) and classified into four groups. Nursing activities were observed every 10 minutes and nursing hours per patient and nurse staffing were analyzed according to acuity and dependency. Results: Nurse-to-patient ratio ranged from 1:1.8 to 1:4.2 during the 48 hours of observation. The average work hours of nurses, excluding breaks and meals, was 8.57 hours; 42.5% of which was spent providing direct care. Higher acuity and dependency were associated with higher nursing hours and staffing level. Patients with KTAS Level 1 were provided 74.3 minutes per hour, 5.02 times higher than Level 5 (14.8 minutes). Patients in the highest dependency group were provided 87.4 minutes per hour, 5.75 times higher than the lowest group (15.2 minutes). Newly arrived patients received more nursing hours than continuously stayed patients within the same KTAS Levels. Conclusion: Large variations were found in hourly patient census, acuity, and dependency. Nurse staffing in EDs should be determined based on patient acuity and dependency.

• Therapeutic Science for Rehabilitation
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• v.10 no.3
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• pp.137-149
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• 2021

Objective : This study aimed to verify the effectiveness of ICT-Living Lab-based programs to promote the health of elderly residents in small and medium-sized cities, thus, providing basic data for solving the health and quality of life problems faced by modern society. Methods : The tow-month program included 14 elderly individuals visiting senior center located in W City, from October to November 2019. The program was organized by consulting four senior experts and one ICT expert. The program consisted of 10 min for advance assessment, 10 min for preparation activities, 30 min for main activities, and 10 min for finishing, and 60 min for eight sessions over two months, once a week. Results : EQ-5D increased from 0.76 to 0.84, compared to pre-assessment(p=.009^*). EQ-VAS scores increased from 36.43 to 65.71 (p=.001^*). MMSE-DS increased from 21.21 to 24.14 (p=.000^*). SGDS-K decreased from 3.36 to 3.21, but this was not statistically significant (p=.854). Conclusion : The ICT·Living Lab-based program could be used as a basic material for future research as one of the ways to improve health and quality of life by preventing and addressing the problems faced by the elderly in modern society.