• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.101-111
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• 2019

In distance learning, quality of service is an important part of improving customer satisfaction and customer loyalty. However, in verifying the effectiveness of remote education service quality, it has been researched based on fragmentary effects on remote education service quality, and the effect study on the specific target is insufficient. In this study, the effects of remote education service factors on customer satisfaction and customer loyalty were analyzed in the previous study and among job seekers. The survey was conducted from March 2019 and 258 samples of job seekers who experienced remote education were used for empirical analysis. As a result of the analysis, typology, problem solving, interaction, information serviceability, and convenience had a positive effect on customer satisfaction, and satisfaction had a significant influence on customer loyalty. In addition, it was analyzed that characterization, problem-solving, interaction, information serviceability, convenience and customer loyalty were affected in the verification of the mediated effects of satisfaction. In response, the implications of this study were derived from practical research on customer satisfaction and loyalty of educational companies related to eduTech, where education and ICT (Information Communication Technology) were integrated during the 4th Industrial Revolution, which suggested that the quality of a company's remote education service affected customer satisfaction and customer loyalty to entrepreneurs and marketers in the education company's start-up and marketing process. Further, further research will be needed in other areas as well as in the areas of employment education to verify the importance of service quality and assess the various effects.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.598-603
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• 2019

Three-dimensional shape measurement technology is used in various industries. Among them, optical three-dimensional shape measurement techniques based on the optical trigonometry are mainly used in the field of semiconductor product inspection, where large quantities of three-dimensional shape measurements are made daily in factories and fine measurements are also required. The light source and the drive circuit, which are components of three-dimensional measurement equipment based on this optical trigonometry, produce heat generated by prolonged operation, and may be exposed to conditions where the ambient temperature is not constant, resulting in temperature-induced measurement errors. In this study, the compensation method of the Thermal Errors for Phase Measuring Profilometry is proposed. Three-Dimensional Shape Measurement Equipment based on Phase Measuring Profilometry is implemented to measure the height of an object and ambient temperature for 10 Hours, and a regression line was obtained line by making simple linear regression using measured temperature and height values. This regression line was used to correct the error of the height measurement according to the temperature, and thermal error was from 139.88 um(Micrometer) to 13.12 um.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.6
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• pp.243-250
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• 2019

Because of a moving UAV has a lot of potential/kinetic energy, if the UAV falls to the ground, it may have a lot of impact. Because this can lead to human casualities, in this paper, the population density area on the UAV flight path is defined as a dangerous area. The conventional UAV path flight was a passive form in which a UAV moved in accordance with a path preset by a user before the flight. Some UAVs include safety features such as a obstacle avoidance system during flight. Still, it is difficult to respond to changes in the real-time flight environment. Using public Big Data for UAV path flight can improve response to real-time flight environment changes by enabling detection of dangerous areas and avoidance of the areas. Therefore, in this paper, we propose a method to detect and avoid dangerous areas for UAVs by utilizing the Big Data collected in real-time. If the routh is designated according to the destination by the proposed method, the dangerous area is determined in real-time and the flight is made to the optimal bypass path. In further research, we will study ways to increase the quality satisfaction of the images acquired by flying under the avoidance flight plan.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.8
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• pp.181-190
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• 2019

The purpose of this study is to verify the effects of information system quality on business performance (net benefit) in the Korean public informatization business and to verify whether the user has mediating role in the relationship between information system quality and net benefit. In order to prepare empirical tests, factor analyses was conducted and the validity and reliability of the variables were confirmed to be acceptable. The research hypotheses were tested by regression analyses. The mediating effects as well as the main effects were analyzed by SPSS statistical program. The results show that the higher the quality of the information system becomes, the higher the usability by the users of the system increases. Also, it was found that the users had more positive effect on the net benefit of the public informatization project. In addition, it was confirmed that there was a partial mediating effect by the users on the relationship between information system quality and the benefits. The results of the research suggests that we establish a management system to improve the business performance efficiently according to the priorities of detailed success factors from the viewpoint of the public information business, and the users who use the information system quality and system.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.69-75
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• 2017

In this paper, we analyzed the factors influencing the size of Korea Polytechnic as a public vocational education and training institution through analysis of demand, region, industry, and demand with established existing campus and new campus in Korea Polytechnic. By analyzing data on admission, training, and employment for 3 years out of 37 campuses, we have sampled 5 campuses by type of Korea Polytechnic, fused with the results derived from the literature analysis and in-depth analysis results, so that the regional campus will play a leading role and the direction of development. The selection of five campuses by type is a precedent study to analyze 37 campuses in the future. As a result of the study, the demand analysis through objective indicators such as the number of high school graduates, the number of employed persons, the presence of nearby industrial complexes, and policy variables is very important and reflects the reality well. Therefore, it is necessary to analyze the demand through the objective indicators in decision making related to the new campus at the pre-analysis stage. In addition to the general data proposed in this paper, that is, common variables in all regions, it is important to consider the factors that can reflect local demand characteristics when considering specific locations.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.347-356
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• 2019

Recently, the liberalization of industrial control systems has been accompanied by a major change in the structural paradigm of information systems in the public and public sectors, and potential cyber security problems in the future major infrastructure control systems that cannot respond to the level of security of existing information systems. To cope with this, a cyber security evaluation tool that can evaluate security vulnerability in three dimensions against various infrastructure control system environment is needed. However, a cyber security evaluation in the domestic environments does not have the concept of the current security status and satisfy settings of the infrastructure. Also, the most of items in that environments have had short-term inspection themselves which makes a limitation by a technical area. In order to overcome this problems, many researches are needed to apply CSET (Cyber Security Evaluation Tool) which is the US cyber security evaluation tool to the control environment of various domestic infrastructure. In this paper, first, we analyze methods to apply to the major domain through the analysis of various case studies on existing security assessement tools. Finally, we discuss future directions.

• Journal of Navigation and Port Research
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• v.43 no.1
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• pp.42-48
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• 2019

The significance of PNT information in the fourth industrial revolution is viewed differently in relation to the past. Autonomous vehicles, autonomous vessels, smart grids, and national infrastructure require sustainable and reliable services in addition to their high precision service. Satellite navigation system, which is the most representative system for providing PNT information, receive signals from satellites outside the earth so signal reception power is low and signal structures for civilian use are open to the public. Therefore, it is vulnerable to intentional and unintentional interference or hacking. Satellite navigation systems, which can easily acquire high performance of PNT information at low cost, require alternatives due to its vulnerability to the hacking. This paper proposed R-Mode (Ranging Mode) technology that utilizes currently operated navigation and communication infrastructure in terms of Signals of OPportunity (SoOP). For this, the Nationwide Differential Global Navigation Satellite System (NDGNSS), which currently gives a service of Medium Frequency (MF) navigation signal broadcasting, was used to validate the feasibility of a backup infrastructure in domestic maritime areas through simulation analysis.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.553-561
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• 2019

In this study, the method of quality measurement for the statistical usefulness of de-identified data was examined in terms of prediction accuracy by statistical modeling. In the era of the 4th industrial revolution, effective use of big data is essential to innovation through information and communication technology, but personal information issues are constrained to actively utilize big data. In order to solve this problem, de-identification guidelines have been established and the possibility of actual re-identification of personal information has become very low due to the utilization of various de-identification methods. On the other hand, strong de-identification can have side effects that degrade the usefulness of the data. We have studied the quality of statistical usefulness of the de-identified data by KLT model which is a representative de-identification method, A case study was conducted to see how statistical accuracy of prediction is degraded by de-identification. We also proposed a new measure of data usefulness of the de-identified data by quantifying how much data is added to the de-identified data to restore the accuracy of the predictive model.

• Journal of Navigation and Port Research
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• v.45 no.1
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• pp.26-32
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• 2021

In ocean field, the spread of the Fourth Industrial Revolution based on information and communication technology requires high precision and stable PNT&D (Position, Navigation, Timing and Data). As the IMO (International Maritime Organization) and IALA (The International Association of Marine Aids to Navigation and Lighthouse Authorities) are requiring backup systems due to mitigate vulnerabilities and the increase of dependency on GNSS (Global Navigation Satellite System), Korea is conducting a research & development of R-Mode. An DGPS (Differentiate Global Positioning System) reference station that uses MF, an existing maritime infrastructure, and AIS (Automatic Identification System) base stations that use 34 integrity station and VHF will be utilized in this study to avoid redundant investment. Because there are radio shadow areas that display low signal levels in the west sea, the establishment of new R-Mode reference and integrity station will be intended to resolve problems regrading the radio shadow area. Because the frequency has a characteristic in that radio wave transmits well along the ground (water surface) in low frequency band, simulation and measurement were conducted therefore this paper to propose candidate sites for R-Mode reference and integrity station resulted through p wave's propagation characteristics analysis. Using this paper, R-Mode reference and integrity station can be established at appropriate locations to resolve radio shadow areas in other regions.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.31-49
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• 2021

IoT devices refer to embedded devices that can communicate with networks. Since there are various types of IoT devices and they are widely used around us, in the event of an attack, damages such as personal information leakage can occur depending on the type of device. While the security team analyzes IoT devices, they should target firmware as well as software interfaces since IoT devices are operated by both of them. However, the problem is that it is not easy to extract and analyze firmware and that it is not easy to manage product quality at a certain level even if the same target is analyzed according to the analyst's expertise within the security team. Therefore, in this paper, we intend to establish a vulnerability analysis process for the firmware of IoT devices and present available tools for each step. Besides, we organized the process from firmware acquisition to analysis of IoT devices produced by various commercial manufacturers, and we wanted to prove their validity by applying it directly to drone analysis by various manufacturers.