• Title/Summary/Keyword: Science Communication

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Empathy Recognition Method Using Synchronization of Heart Response (심장 반응 동기화를 이용한 공감 인식 방법)

  • Lee, Dong Won;Park, Sangin;Mun, Sungchul;Whang, Mincheol
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.45-54
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    • 2019
  • Empathy has been observed to be pivotal in enhancing both social relations and the efficiency of task performance. Empathetic interaction has been shown to begin with individuals mirroring each other's facial expressions, vocal tone, actions, and so on. The internal responses of the cardiovascular activity of people engaged in empathetic interaction are also known to be synchronized. This study attempted to objectively and quantitatively define the rules of empathy with regard to the synchronization of cardiac rhythm between persons. Seventy-four subjects participated in the investigation and were paired to imitate the facial expressions of their partner. An electrocardiogram (ECG) measurement was taken as the participants conducted the task. Quantitative indicators were extracted from the heart rhythm pattern (HRP) and the heart rhythm coherence (HRC) to determine the difference of synchronization of heart rhythms between two individuals as they pertained to empathy. Statistical significance was confirmed by an independent sample t-test. The HRP and HRC correlation(r) between persons increased significantly with empathy in comparison to an interaction that was not empathetic. A difference of the standard deviation of NN intervals (SDNN) and the dominant peak frequency decreased. Therefore, significant parameters to evaluate empathy have been proposed through a step-wise discrimination analysis. Empathic interactions may thus be managed and monitored for high quality social interaction and communication.

A Study on SNS Records Management (기록관리 대상으로서 SNS 연구)

  • Song, Zoo-Hyung
    • The Korean Journal of Archival Studies
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    • no.39
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    • pp.101-138
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    • 2014
  • This study examined the influence and meaning of SNS as the hot topic of our time from the archival perspective and also studied the 'SNS records management'. The many users mean a high accessibility and utilization of SNS, which increase the influence and value of SNS as a record. Politically, SNS is a tool that strengthens the communication among the voters, politicians and the public while economically, it is a window to accept the complaints of the customers and a marketing tool. In addition, the voices of social minorities are also recorded unlike in the traditional media, which makes the SNS record a method to gain the social variety and diversity. SNS is a place of formation of collective memory and collective memory itself. Furthermore, it can play the role of public sphere. It also is a place for generation of 'big data' in an archival sense. In addition, this study has classified the SNS records management into primary and secondary management that include record management entities, subjects, periods, methods, and causes. This study analyzed the history, status, and the meaning of SNS to assess the values and meanings as the preliminary study for the future SNS record management studies.

Design of an Efficient Control System for Harbor Terminal based on the Commercial Network (상용망 기반의 항만터미널 효율적인 관제시스템 설계)

  • Kim, Yong-Ho;Ju, YoungKwan;Mun, Hyung-Jin
    • Journal of Industrial Convergence
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    • v.16 no.1
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    • pp.21-26
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    • 2018
  • The Seaborne Trade Volume accounts for 97% of the total. This means that the port operation management system can improve port efficiency, reducing operating costs, and the manager who manages all operations at the port needs to check and respond quickly when delays of work and equipment support is needed. Based on the real-time location information confirmation of yard automation equipment used the existing system GPS, the real-time location information confirmation system is a GPS system of the tablet, rather than a port operation system that monitors location information for the entered information, depending on the completion of the task or the start of the task. Network configurations also reduce container processing delays by using commercial LTE services that do not have shading due to containers in the yard also reduce container processing delays. Trough introduction of smart devices using Android or IOS and container processing scheduling utilizing artificial intelligence, we will build a minimum delay system with Smart Device usage of container processing applications and optimization of container processing schedule. The adoption of smart devices and the minimization of container processing delays utilizing artificial intelligence are expected to improve the quality of port services by confirming the processing containers in real time to consumers who are container information demanders.

Factors Predicting Increased Usage Hours of Smartphone among Adolescents (청소년의 스마트폰 사용시간 증가 예측요인)

  • Park, Jeong Hye
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.3201-3209
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    • 2018
  • The purpose of this study was to explore the factors predicting increased usage hours of smartphone among adolescents. Secondary data was analyzed to be collected from a nationally representative sample of 2017 Korean adolescents. This study sample included 54,601 students in middle or high schools of Korea. The collected data were analyzed SPSS version 23.0 program for frequency, percentage, mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient and binary logistic regression analysis. In the results, the mean usage hour of smartphone among the adolescents was 28.42 (SD 23.30) per week. Analyses of the differences in usage hours of smartphone according to research variables were found that the groups of lower level of study (F=1361.067, p<.001) and sociality content type (F=761.549, p<.001) spent more time, as compared to the other groups. The logistic analysis showed the predictive factors for increased hour of using smartphone were smartphone usage for sociality (OR: 2.44, 95% CI: 2.26-2.64) and peer group counselor (OR: 1.49, 95% CI: 1.49). Conclusionally, the findings of this study suggests that it needs to understand cause or purpose of smartphone using of adolescent and to cope and educate on the cause.

A Study on the Operation of Multi-Beam Antenna for Airborne Relay UAV considering the Characteristics of Aircraft (비행체의 특징을 고려한 공중중계 무인기 다중빔 안테나 운용 방안)

  • Park, Sangjun;Lee, Wonwoo;Kim, Yongchul;Kim, Junseob;Jo, Ohyun
    • Journal of Convergence for Information Technology
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    • v.11 no.4
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    • pp.26-34
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    • 2021
  • In the era of the Fourth Industrial Revolution, the future battlefield will carry out multi-area operations with hyper-connected, high-speed and mobile systems. In order to prepare for changes in the future, the Korean military intends to develop various weapons systems and form a multi-layer tactical network to support On The Move communication. However, current tactical networks are limited in support of On The Move communications. In other words, the operation of multi-beam antennas is necessary to efficiently construct a multi-layer tactical network in future warfare. Therefore, in this paper, we look at the need for multi-beam antennas through the operational scenario of a multi-layer tactical network. In addition, based on development consideration factors, features of rotary-wing and fixed-wing aircraft, we present the location and operation of airborne relay drone installations of multi-beam antennas.

Hi, KIA! Classifying Emotional States from Wake-up Words Using Machine Learning (Hi, KIA! 기계 학습을 이용한 기동어 기반 감성 분류)

  • Kim, Taesu;Kim, Yeongwoo;Kim, Keunhyeong;Kim, Chul Min;Jun, Hyung Seok;Suk, Hyeon-Jeong
    • 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.

Different Heterogeneous IoT Data Management Techniques for IoT Cloud Environments (IoT 클라우드 환경을 위한 서로 다른 이기종의 IoT 데이터 관리 기법)

  • Cho, Sung-Nam;Jeong, Yoon-Su
    • 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.

A Study on the Use Smartphone of Radiological Technologist (방사선사의 스마트폰 이용에 관한 연구)

  • Jeong, Bong-Jae
    • 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.

Comparison of the Priority of Required Capabilities of the Warrior Platform by the Types of Military Unit through AHP Analysis (AHP 분석을 통한 부대 임무유형별 워리어플랫폼 요구능력 우선순위 비교)

  • Kim, Wukki;Shin, Kyuyong;Jo, Seongsik;Baek, Seungho;Kim, Yongchul
    • 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.

Monetary policy synchronization of Korea and United States reflected in the statements (통화정책 결정문에 나타난 한미 통화정책 동조화 현상 분석)

  • Chang, Youngjae
    • 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.