The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.
The aim of this study was to subdivide and present the units and the standards of knowledge integration in creating the students' integrated knowledge from content knowledge in college writing classes. For these, it analyzed three typical writing textbooks being used in colleges and examined the ways of presentation on forming integrated knowledge by text qualitative analysis methods. The analysis procedure and the presentation followed Creswell's spiral analysis model It is a method model which repeats the procedure from material collection and analysis to presentation circularly. This examination illustrates three dimensions of the units in forming content knowledge. Also, it suggested those should be all treated for the more systematic education: the units of the whole text, the paragraphs, and the sentences. In the next chapter, the standards and contents of knowledge integration were suggested in each process. For the process of knowledge selection, the suitability and the contradictoriness between the text materials and author's thesis were proposed as the standards and contents. For the process of organization and integration, the corresponsive integration, contradictive integration, background integration, synthetic integration were suggested. Finally the procedure knowledge such as correct expression and spelling, source indication were shown for the process of expression and citation. Furthermore, it showed, in terms of expression, the process of paraphrasing frequently practiced in writing textbooks needs to be exercised in the three dimensions including summarization, connection, and interpretation(or transformation). This result, however, calls for the further study about the subdividing processes to enhance the adequateness to writing textbooks in the level of universities and for a more refined syllabus on the systematic knowledge integration. Accordingly, it suggested the tasks mentioned above for further study.
KIPS Transactions on Computer and Communication Systems
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v.11
no.10
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pp.345-352
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2022
Recent LiDAR(Light Detection And Ranging) sensor is used for scanning object around in real-time. This sensor can detect movement of the object and how it has changed. As the production cost of the sensors has been decreased, LiDAR begins to be used for various industries such as facility guard, smart city and self-driving car. However, LiDAR has a large input data size due to its real-time scanning process. So another way for processing a large amount of data are needed in LiDAR system because it can cause a bottleneck. This paper proposes edge computing to compress massive point cloud for processing quickly. Since laser's reflection range of LiDAR sensor is limited, multiple LiDAR should be used to scan a large area. In this reason multiple LiDAR sensor's data should be processed at once to detect or recognize object in real-time. Edge computer compress point cloud efficiently to accelerate data processing and decompress every data in the main cloud in real-time. In this way user can control LiDAR sensor in the main system without any bottleneck. The system we suggest solves the bottleneck which was problem on the cloud based method by applying edge computing service.
This study focuses on succession in a family business which is the crucial factor affecting future and survival of a family business. Especially, the study concentrate a successor's view which is regarded as a key-player during the succession. In this study, we used AHP (Analytic Hierarchy Process) methodology to identify priorities of factors influencing succession. We divided into two-tier level. The first-tier is defined as 1) the relationship with an incumbent CEO, 2) a successor 's management ability, 3) a successor' s self-efficacy and 4) succession plan. For the second-tier of each first-tier have 3 sub-factors ; 1) the relationship with an incumbent CEO is set as level of mutual trust, sharing the vision of a company, and level of communication each other. 2) A successor 's management ability is based on business competence, education and training and interpersonal management ability, 3) a successor 's self-efficacy was set as successor' s willingness of succession, confidence of overcoming crisis and confidence of achieving objectives. Lastly, 4) a succession plan is set as finance plan, leadership transformation plan and human-organization management plan. A total of 93 questionnaires is distributed and retrieved, and 88 questionnaires are used for the study, excluding those with missing data. As a result of this study, successors selected 1) the relationship with an incumbent C.E.O. as the most important priority in the first-tier. The second is 2) a successor 's management ability, the third is 3) a successor' s self-efficacy, and the last priority is 4) a succession plan. In particular, 3 sub-factors that make up the relationship with an incumbent are the most important factors. These factors rank the first to the third in the final result.
Journal of the Korea Society of Computer and Information
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v.28
no.2
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pp.235-246
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2023
In this paper, we propose suggestions for developing a Metaverse platform for educational purpose utilizing a Delphi study method with experts on Metaverse and digital education. 17 experts participated in the 1st study and 16 took part in the 2nd study, and data was collected via emails from January 5th to 10th for the 1st study and from January 12th to 17th for the 2nd study in 2022. Collected data in the 1st study was analyzed by applying content analysis. The results for the 1st study indicated that there were 120 sub-factors were derived from 7 main questions(the necessity of a Metaverse platform for future education, how to use the Metaverse platform for education to improve the capacities needed for future human resources, problems that may arise during education using the Metaverse platform, the functions that the Metaverse platform for education should have, the infrastructure and environment required when using the Metaverse platform for education, how to use the Metaverse effectively as a learning space, subjects and educational contents that will be effective if conducted on the Metaverse platform for education). The results for the 2nd study were presented by being ranked with calculated means of sub-factors for each question. Finally, based on the results, suggestions for building a Metaverse platform for educational purpose are stated and limitations of the study and possible future study are discussed.
The Journal of the Convergence on Culture Technology
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v.8
no.6
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pp.873-879
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2022
In the future, AI and the metaverse are becoming so powerful that their application areas and influences are swallowing up the world. The advertising field is no exception, and it is becoming more important to predict, analyze, and strategize these future changes. In order to study the future change of advertising according to the development of artificial intelligence and metaverse, literature research related to the development of artificial intelligence and metaverse technology and the resulting change in the advertising environment, in-depth interviews with future and advertising experts, and Delphi technique research method I want to study change. First, through this study, we would like to examine the opinions of experts through in-depth interviews on the development of artificial intelligence and metaverse technology and the changes in the advertising sector in the post-coronavirus era of civilizational transformation. In addition, the Delphi technique is used to determine how important the change is by future advertising technology area, future advertising media area, future advertising form area, future advertising effect area, future advertising application area, and future advertising process area, and at what point in the future it will change. In addition, we want to study how the future advertising form will change in detail. Also, based on this, we would like to propose a countermeasure for the advertising industry.
The purpose of this study is to explore the factors of situational interest in math learning, and based on the results, to reveal the factors of situational interest included in teaching and learning methods, teaching and learning activities in mathematics class, and extracurricular activities outside of class. As a result of conducting a questionnaire to high school students, the factors of situational interest in learning mathematics were divided into 10 detail-domain(Enjoy, Curiosity, Competence / Real life, Other subjects, Career / Prior knowledge, Accumulation knowledge / Transformation, Analysis), 4 general-domain(Emotion, Attitude / Knowledge, Understanding), 2 higher-domain(Affective / Cognitive) were extracted. In addition, it was revealed that various factors of situational interest were included teaching and learning methods, teaching and learning activities and extracurricular activities. When examining the meaning of 10 situational interest factors, it can be expected that the factors for developing individual interest are included, so it can be expected to serve as a basis for expanding the study on the development of individual interest in mathematics learning. In addition, in order to maintain individual interest continuously, it is necessary to maintain situational interest by seeking continuous changes in teaching and learning methods in the school field. Therefore, it can be seen that the process of exploring the contextual interest factors included in teacher-centered teaching and learning methods and student-centered teaching and learning activities and extracurricular activities is meaningful.
Kim, Tagyoung;Kim, Ho Seon;Kang, Kyeong-Pyo;Kim, Seoung Bum
The Journal of The Korea Institute of Intelligent Transport Systems
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v.21
no.5
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pp.28-41
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2022
A road system with CV(Connected Vehicle)s, which is often referred to as a cooperative intelligent transportation system (C-ITS), provides various road information to drivers using an in-vehicle warning system. Road environments with CVs induce drivers to reduce their speed or change lanes to avoid potential risks downstream. Such avoidance maneuvers can be considered to improve driving behaviors from a traffic safety point of view. Thus, empirically evaluating how a given in-vehicle warning information affects driving behaviors, and monitoring of the correlation between them are essential tasks for traffic operators. To quantitatively evaluate the effect of in-vehicle warning information, this study develops a method to calculate compliance rate of drivers where two groups of speed profile before and after road information is provided are compared. In addition, conventional indexes (e.g., jerk and acceleration noise) to measure comfort of passengers are examined. Empirical tests are conducted by using PVD (Probe Vehicle Data) and DTG (Digital Tacho Graph) data to verify the individual effects of warning information based on C-ITS constructed in Seoul metropolitan area in South Korea. The results in this study shows that drivers tend to decelerate their speed as a response to the in-vehicle warning information. Meanwhile, the in-vehicle warning information helps drivers to improve the safety and comport of passengers.
X-ray powder diffraction study was conducted on the bulk modulus and phase transition behavior of synthetic zeolite X under high temperature and high pressure. Water and HCO3- solution were used as a PTM. Sample was heated and pressurized up to 250 ℃ and 5.18 GPa. The change of unit cell volume and phase transition were observed by X-ray diffraction. The lattice constants and unit cell volume of zeolite X, gmelinite, natrolite, and smectite were calculated using the GSAS2 program to which Le Bail's whole powder pattern decomposition (WPPD) method was applied. The bulk modulus of each zeolite X and smectite were calculated using the EosFit program to which the Birch-Murnaghan equation was applied. The bulk modulus of zeolite X is 89(3) GPa in water run, and zeolite X is 92(3) GPa in HCO3- solution run. In both run, pressure induced hydration (PIH) occurred due to the inflow of PTM into the zeolite X framework at initial pressure. Zeolite X transited to gmelinite, natrolite, and smectite in water run. Zeolite X, however, transited to smectite in HCO3- solution run. Interzeolite transformation occurred in water run, and did not occur in HCO3- solution run, which is assumed that conflict between the environment to form zeolite and the pH of the HCO3- solution.
This study is a study on the methodology of establishing an innovation strategy centering on the customer experience, which is essential in order to transform the existing collection and preservation-centered mutual aid company service into a visitor-centered service. To this end, we conducted literature research on environmental changes in the funeral industry from the perspective of service science and the significance and value of customer experiences within them, good customer experiences and bad customer experiences from the perspective of customer experience management. A study was conducted to present and prove a specific model. The customer experience-oriented innovation strategy of the funeral industry means to search for various alternatives that can reach the target state from the present state, focusing on the customer, and select the most appropriate transformation plan among them. As an effect of application, it was found that it is a source of differentiation by generating positive emotions to customers, and that customer experience data is highly helpful in making important decisions for the actual resource input of the parent company. This innovation model was presented, and its value was firstly proved by analyzing the difference from the existing evaluation method. Finally, as a result of analyzing the causal relationship through regression analysis using the customer experience measurement procedure, customer experience diagnosis/evaluation, customer experience innovation strategy, and cooperative company's performance as variables, the relationship proved to be significant.
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