• The Southeast Asian review
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• v.27 no.1
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• pp.131-161
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• 2017

The political dynamics of Malaysia in 2016 should be seen as a process of losing an political opportunity mainly due to the split in opposition parties. The opportunity for political development was triggered by the ruling party in crisis. The ongoing 1Malaysia Development Berhad (1MDB) scandal involving the Prime Minister Najib Razak would have provided a favorable condition for the transfer of power. The opposition parties have however failed to utilize the chance that has arisen since the general elections in 2008 and 2013 due to the chronic problem of disunity. It can be seen as distortions of political development referring to a phenomenon in which a chance for regime change formed by the crisis in authoritarian regime is distorted by internal conflicts among opposition parties. Malaysia's political turmoil seemed to paralyze its economy while foreign policy was used as a tool for domestic politics. It was reported that the key economic indicator have worsen including exports and budget deficit. The ringgit had dropped to its lowest level since the economic crisis in 1997-98 which was mainly attributed to diminishing credibility on the Najib's administration. Najib's political struggle has also impeded Malaysia's foreign policy which has attempt to embrace China and the Rohingya issue. The chance to manage key risks would be diminished if oppositions' disunity continues as there is speculation that the general election could be held in 2017.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.452-462
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• 2019

This study is a descriptive survey research to investigate the effect of parental bring-up attitude on child abuse awareness among college students. Data were collected using structured questionnaires about parental acceptance-rejection questionnaire, child abuse awareness and child abuse knowledge tool from 272 students attending one university located in A city from April 16 to 30, 2019, and were analyzed using t-test, One-way ANOVA, Kruskal-Wallis test, $Scheff{\acute{e}}$ test, Pearson's correlation coefficient, multiple regression. The results of the study are as follows. First, child abuse awareness of the subjects were found that there was a significant difference according to gender, grade, number of siblings, level of knowledge about child abuse. Second, parental indifference/neglect attitude showed a negative correlation with child abuse awareness. Third, in relation to child abuse awareness, the explanatory power of gender, grade, number of siblings, knowledge level about child abuse, and parental bring-up attitude was 14.3%, and grade, number of siblings, knowledge level about child abuse, and parental indifference/neglect attitude were significant factors. The results of this study can be used as a major intervention strategy in the development of programs to improve child abuse awareness for college students through systematic and practical understanding.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.165-172
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• 2021

This study was carried out in order to identify oral health knowledge according to police officers' oral health behaviors. The questionnaire survey was conducted targeting 237 police officers in Gwangju. A tool used general characteristics, oral health knowledge, oral health behavior and oral health education needs. The analysis was processed with descriptive statistics, t-test, Anova and regression analysis. As a result, the oral health knowledge was high in a person of using oral hygiene products and in a person of experiencing a visit to dental clinic(p<0.001). The desired the oral health education were a specialist's direct verbal explanation and the correct tooth-brushing method. Also, marital status, educational level, smoking status, using oral hygiene products and Dental visit experience were identified to have influence upon a oral health knowledge (explanatory power, 40.5%). Hence, the results of this study will be able to be applied to basic data in case of developing an oral health education program and planning a dental health project for enhancing oral health in police officers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.32 no.6
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• pp.553-560
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• 2020

This paper presents an algorithm for identifying and eliminating errors by seagrasses in coastal bathymetry surveying using drone and HD camera. Survey errors due to seagrasses were identified, segmentated and eliminated using a L∗a∗b color space model. Bathymetry survey using a drone and HD camera has many advantages over conventional survey methods such as ship-board acoustic sounder or manual level survey which are time consuming and expensive. However, errors caused by sea bed reflectance due to seagrasses habitat hamper the development of new surveying tool. Seagrasses are the flowering plants which start to grow in November and flourish to maximum density until April in Korea. We developed a new algorithm for identifying seagrasses habitat locations and eliminating errors due to seagrasses to get the accurate depth survey data. We tested our algorithm at Wolpo beach. Bathymetry survey data which were obtained using a drone with HD camera and calibrated to eliminate errors due to seagrasses, were compared with depth survey data obtained using ship-board multi-beam acoustic sounder. The abnormal bathymetry data which are defined as the excess of 1.5 times of a standard deviation of random errors, are composed of 8.6% of the test site of area of 200 m by 300 m. By applying the developed algorithm, 92% of abnnormal bathymetry data were successfully eliminated and 33% of RMS errors were reduced.

• Analytical Science and Technology
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• v.34 no.3
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• pp.134-141
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• 2021

In this study, the fatty acid (FA) composition of commercial sesame oils (n = 62) was investigated using gas chromatography with flame ionization detector (GC-FID). Multivariate statistical techniques, including principal component analysis (PCA) and linear discriminant analysis (LDA), were applied to the chromatographic data of the FAs to discriminate the geographical origin of sesame oils. A statistically significant difference was observed in the content of C16:0, C18:0, C18:1, and C18:2 between domestic and imported sesame oils. A satisfactory recovery rate of 82.8-100.2 % was achieved for C16:0, C18:0, C18:1, C18:2, and C18:3. The correlation of C16:0, C18:1, and C18:2 in domestic sesame oils showed opposite trends compared to imported oils. The PCA plot demonstrated that sesame oils were clustered in distinct groups according to their origin. LDA was used to predict sesame oil samples in one of the two groups. C16:0 (Wilks λ = 0.361) and C18:1 (Wilks λ = 0.637) demonstrated the highest discriminant power for classifying the origin of the samples. The correct prediction rates were 88.9 % and 100 % for the domestic and imported samples, respectively. Further, 60 of the 62 sesame oil samples (96.8 %) were correctly classified, indicating that this approach can be used as a valuable tool to predict and classify the geographical origin of sesame oils.

• Journal of Korean Dental Hygiene Science
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• v.3 no.2
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• pp.9-18
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• 2020

This study analyzed 183 for dental hygienists working at dental hospitals and clinics in Daegu to survey organizational socialization of them. The adversity index of the study subjects averaged 58.60±9.16 points out of a total score of 100, with the highest individual initiative of 16.58±3.09 points, and a low of 13.86±3.66 points for continuity of the situation. Organizational socialization averaged 123.40±12.82 points out of 190, with the highest personal characteristics of 30.37±3.71 points, and the lowest occupational identity of 10.34±1.94. The adversity index of the participants was significantly higher in graduate school or higher (F=3.112, p=0.047), the lower the intensity of their work (F=2.860, p=0.060), and the more often the degree of turnover (F=5.196, p<0.006). In organizational socialization, age (F=9.290, p<0.001), educational background (F=8.655, p<0.001), and higher position (F=5.425, p=0.005) were significantly higher when working in hospitals (F=4.534, p=0.012). The higher the position (F=5.425, p=0.005), the higher the work experience (F=5.320, p=0.002), the lower the turnover (F=22.935, p<0.001), and the highrer the intensity of the work(F=7.02, p<0.001). The study subjects' organizational socialization showed a significant correlation with the adverse event index (r=0.395, p<0.000). The regression analysis using organizational socialization as a dependent variable showed that the degree of turnover (β=0.300, p<0.001) had a significant effect on organizational socialization. The total explanatory power of this variable was 41.6%, with significant effects on individual initiative (β=0.255, p<0.000) and personal control (β=0.180, p<0.009) among the adverse events index. The above findings confirmed that a high adverse event index of dental hygienists has the effect of increasing organizational socialization. Dental hygienists' adversity index is average, meaning they live a smooth life in smooth conditions, however, when major adversity arises, organizational socialization is highly necessary. In addition, to strengthen the organizational socialization of new dental hygienists, as well as experienced dental hygienists, a customized program should be administered to raise the adverse index of dental hygienists, and provide a human management tool through regular confirmation of the program.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.1-12
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• 2021

Technologies for an MVDC(medium voltage direct current) distribution system are being considered as an effective alternative to overcome the interconnection delay issues of PV systems. However, the implementation of a DC distribution system might lead to economic problems because of the development of DC devices. Therefore, this paper deals with the scale of a PV plant based on its capacity and proposes hosting-capacity models for PV systems to establish a network to evaluate the feasibility of an MVDC distribution system. The proposed models can be classified as AC and DC distribution systems by the power-supply method. PV systems with hundreds of MW, dozens of MW, and a few MW can be categorized as large-scale, medium-scale, and small-scale models, respectively. This paper also performed modeling for an economic evaluation of MVDC distribution system by considering both the cost of AC and DC network construction, converter replacement, operation, etc. The profit was composed of the SMP and REC rate of a PV plant. A simulation for economic evaluation was done for the MVDC distribution system using the present worth and equal-principal costs repayment method. The results confirmed that the proposed model is a useful tool to evaluate economic issues of a DC distribution system.

• Trans-
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• v.12
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• pp.1-19
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• 2022

This study predicts and raises the changes that AI will bring to dance art when machine-based choreography began, and finds questions we can ask as human artists. Research suggests that one of the crises of dance in the era of machine creative arts is that artificial intelligence does not stay in the tool of human choreography but becomes the subject of choreography. It is based on the political discourse of choreography that artificial intelligence has the power to control and restrict human dancers. This comes from a sense of crisis that the AI takes over the area of choreography and the human choreographer remains an incompetent coordinator, and as a result, the dancer's dancing body can be reduced to a mechanical body controlled by AI. In order for these concerns not to become a reality, this study proposes three measures. First, choreographer and dancer should develop digital literacy to live in the age of AI art. Secondly, choreographer should acquire the ability to accurately distinguish the roles of human choreographer, dancer, and AI in creative work. Thirdly, various levels of discourse on AI dance should be formed by actively conducting mutual media research of dance and technology. Through these efforts, the human dancer will exist as a subject of art, not a passive agent in the new dance ecosystem brought by the innovation of artificial intelligence technology and will be able to face an era coexistence with artificial intelligence creativily and productively.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.497-505
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• 2021

Due to recent underground space accidents, are a frequent occurence in Korea, the government established the basic plan for the construction of the IUGIM (Integrated Underground Geospatial Information Map) in 2015 as a measure for safety management of underground spaces. The development of IUGIM was partially completed as of 2021. The underground space management entity and related organizations are utilizing it. This study is being carried out as part of a plan to improve the usability of IUGIM, and to build a visualization system that compares real-time field data with stored data. A system, equipped with a visualization function for borehole data and 6 types of underground facilities built and managed on IUGIM; a tool capable of comparative analysis with real-time data measured in the field, is being built. The 6 types of underground facilities are water supply pipe, sewage pipe, power pipe, gas pipe, communication pipe, and heating pipe. The completed system was demonstrated at three locations in Seocho-gu, Gangnam-gu in Seoul. The field demonstration was carried out by accessing the mobile center and downloading IUGIM data, visualizing IUGIM data (surface creation, borehole information, underground facilities), and visualizing the GPR(Ground Penetrating Radar)-based data acquired at the field. As a result of the empirical results of IUGIM data and GPR-based field data, it was judged to be suitable. As a result of this study, it is judged that it can be helpful for safe construction at the excavation site.