• The Journal of the Korea Contents Association
• /
• v.19 no.5
• /
• pp.194-204
• /
• 2019

The mobile payment app market has been expanding recently. However, the usage rate of mobile payment apps is not meeting service providers' expectations due to concerns about security and privacy. This study investigated how personal predisposition and how the security signals of the payment app affect users' perceived privacy and security risks, and how these factors ultimately affect the trust of mobile payment apps. The results showed that privacy concerns increase the risk of perceived personal information leaks and reduce perceived mobile system security, while familiarity, perceived reputation, and assurance seal reduce the risk of perceived personal information leaks and increase perceived mobile system security. Finally, it revealed that the reduced risk of perceived personal information leaks and the increased security of mobile systems had a positive impact on the reliability of mobile payment apps.

• Journal of Cadastre & Land InformatiX
• /
• v.51 no.1
• /
• pp.125-136
• /
• 2021

Recently, Unmanned Aerial Vehicle utilization and image processing technology for remote sensing have diversified remarkably with Orthophoto and Digital Surface Model. In particular, It uses more application fields such as spatial information analysis and hazardous areas as well as land surveying. This study analyses the accuracy of the coordinate on Orthophoto and DSM height on slope area with high and low differences by using UAV images. As the result of this study, in the case of GCP on 2D orthophoto, the location error was not produced significantly. The vertical position of the DSM showed the highest accuracy when the height difference between GCPs is under 30m(RMSEZ=0.07m). The location of the GCPs was divided into approximately 10m, 20m, 30m, and 40m with analysis for each of the eight points of GCP and inspection points in general. This study expects that producing both horizontal accuracy of Orthophoto and vertical accuracy of DSM using UAV on the sloped area which similar to this research area will help in spatial information fields.

• Korean Journal of Logic
• /
• v.21 no.3
• /
• pp.373-393
• /
• 2018

Manipulation arguments purport to show that source freedom is incompatible with determinism. According to manipulation arguments, (1) intuitively, an agent manipulated in a certain manner to do A is not free, and (2) there is no significant difference between manipulation and determination. It follows that an agent determined to do A is not free. A compatibilist hard-line reply ('HR') denies (1), whereas a soft-line reply ('SR') denies (2). HR, which is arguably compatibilists' favorite, is assessed from the 'neutral stance.' HR turns out to fall short of adequately rejecting manipulation arguments. Recently Sartorio defends HR by claiming that (1) commits some sort of psychological fallacy. I argue that it does not work. I claim that SR is more promising. I examine the difference between intentional manipulation by design and ordinary determination. I argue that this difference suggests some determination scenario without intentional manipulation to which SR and manipulation arguments make different predictions, and that SR is better supported. Finally, incompatibilist objections are considered and replied.

• Journal of Korean Society on Water Environment
• /
• v.27 no.3
• /
• pp.293-299
• /
• 2011

The quantity of a discharge load can change with changes in rainfall in the area with a combined sewer system (CSS). To evaluate the implementation appropriately in the management of total maximum daily loads (TMDLs), the effects of rainfall changes should be considered in the estimation of the discharge load. The rainfall condition for the estimation of the discharge load in a certain year should be standardized to the same rainfall condition as that of the reference year. However, the calculation process is very complicated with its potential limitations. This study investigated and developed relatively simple methods for estimating the discharge load. Load conversion method (LCM) is designed to convert the discharge load under the current rainfall condition into that of the reference rainfall conditions. Simple rainfall data method (SRDM) is to simplify the estimation process of the discharge load by the simple conversion of rainfall data. These methods were applied to calculate the discharge load and examine the estimation results. From the results of this study the application of these methods may be useful for estimating the discharge load in the TMDL process.

• Journal of Korean Society on Water Environment
• /
• v.27 no.4
• /
• pp.391-396
• /
• 2011

Recently it revealed that urban runoff was one of the major source that contaminates the river, lake and estuary because it contains toxic compounds such as heavy metals and Poly Aromatic Hydrocarbons (PAHs) as well as suspended solids, organic compounds and nutrients. The engineered polymetric media in this research were developed for reducing pollutants in urban runoff and would be used to be charged in the storm water treatment equipment. The engineered media that were composed of the polypropylene was foamed to have the buoyancy and then shattered by mechanical for the efficient filtration. In this study, Spherical Expanded Polypropylene Media (SEPM), Crushed Polypropylene Media (CPM), Large Crushed Expanded Polypropylene Media (LCEPM), Small Crushed Expanded Polypropylene Media (SCEPM) were made from polypropylene. Surface characteristics of the developed media were determined by scanning electron microscopy analyses. Also, removal efficiencies of SS, $COD_{Cr}$ in the artificial road runoff and the bed headloss by media and particle pollutants captured by media were examined. Results on the surface characteristics of media indicated that SCEPM had the largest specific surface area, $0.80m^2/g$, the lowest specific gravity, 0.091, and the biggest porosity, 0.63, because of crushing the media at the process of manufacturing. And the SCEPM's removal efficiencies of TSS and $COD_{Cr}$ in the artificial road runoff were 92.9% and 83.6%, respectively and the headloss of SCEPM was the least of them.

• Journal of Regulation Studies
• /
• v.27 no.2
• /
• pp.71-104
• /
• 2018

Regulatory agencies' response to resource constraints is an important issue in terms of regulatory effectiveness, but systematic research is lacking. As an effort to overcome this limitation, this study was to explore behaviors of regulatory agencies in response to resource constraints. Reviewing the precedent studies based on regulatory and organizational theories, the study suggested the potential behaviors of regulatory agencies under resource constraints: changes in regulatory processes, changes in enforcement methods, decoupling, and regulatory delegation and contracting-out. The study also discussed the realistic explanations of the response behaviors partly through the case of marine transportation regulation, and explained the problems that the regulatory agency's behaviors could bring about. Based on the findings, the study suggested that the regulatory framework should be designed to ensure the effectiveness of the regulatory system in consideration of the regulatory agencies' behaviors under resource constraints. The study is expected to contribute to developing a theoretical analysis framework ultimately for an empirical study in the future.

• Korean Journal of Metals and Materials
• /
• v.49 no.1
• /
• pp.85-91
• /
• 2011

Alnico magnets can be used as magnetic bearings for the precise electric power measuring instruments such as watt-hour meters because they have high remanence ($B_r$), relatively high maximum energy product ($(BH)_{max}$), and excellent temperature stability. In this study, Alnico composite magnets were fabricated by appropriately mixing alnico alloy powders with epoxy resin and binder. The Alnico powders mixed with epoxy resin and a hardening agent with a mixing ratio of 96:4 were pressed and then cured to be a toroid-type ring magnet with an outer diameter (${\Phi}_{out}$) of 15 mm, an inner diameter (${\Phi}_{in}$) of 6.5 mm and a thickness (t) of 2.5 mm, respectively. The magnetic properties of the Alnico ring magnets were varied with the mixing ratio of Alnico powders that possess different average particle sizes. The Alnico ring magnet prepared by mixing 5 wt% of $50{\mu}m$ (small size) powder, 15~20 wt% of $150{\mu}m$ (medium size) powder, and 75~80 wt% of $300{\mu}m$ (large size) powder showed the best magnetic properties (remanent induction, coercive force, maximum energy product, and surface flux density). In addition, measurements of temperature and moisture characteristics for the Alnico ring magnets showed that the surface flux densities of the N and S poles decreased little and the repulsive distance between the magnets decreased as small as 0.05 mm after 10 days.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_2
• /
• pp.1581-1587
• /
• 2022

Recently, deep learning has become more important in remote sensing data processing. Huge amounts of data for artificial intelligence (AI) has been designed and built to develop new technologies for remote sensing, and AI models have been learned by the AI training dataset. Artificial intelligence models have developed rapidly, and model accuracy is increasing accordingly. However, there are variations in the model accuracy depending on the person who trains the AI model. Eventually, experts who can train AI models well are required more and more. Moreover, the deep learning technique enables us to automate methods for remote sensing applications. Methods having the performance of less than about 60% in the past are now over 90% and entering about 100%. In this special issue, thirteen papers on how deep learning techniques are used for remote sensing applications will be introduced.

• The Journal of the Korea Contents Association
• /
• v.22 no.9
• /
• pp.712-726
• /
• 2022

The purpose of this study is to find out what discourse the newspaper's articles produce and distribute about 'drug addiction' and to reveal the topography and meaning of the discourse. Data were collected by searching 'drug' 'drug addiction' as keywords for news articles in four daily newspapers in Korea. As a result of analyzing using Norman Fairclough's critical discourse analysis, first, the 'crime-punishment' discourse was dominant in textual analysis. Drug addiction is a social evil and a serious crime such as sex crimes, child crimes, and violence, so it should be strictly punished. Second, in the discourse practice analysis, drug addiction is a mental disease that needs treatment, so systematic management by the state is required. Third, in the socio-cultural practice analysis, drug addiction is a means of making money for economic benefit, is related to corruption of political power, and is an object that should be strongly controlled to prevent drug crimes from threatening the foundation of the state. Culturally, drug addiction stems from the motivation of pleasure seeking, and is the result of moral degradation. Through this analysis, the conversion to the 'disease-treatment' discourse and drug policies centered on treatment and rehabilitation were suggested as alternatives.

• Korean Journal of Optics and Photonics
• /
• v.33 no.3
• /
• pp.99-105
• /
• 2022

We have evaluated the performance of an all-optical automatic gain-controlled (AGC) erbium-doped fiber amplifier (EDFA) to suppress the optical signal fluctuation induced by atmospheric turbulence in terrestrial free-space optical communication systems. In our measurements, the input power into the EDFA was set to be -30 dBm and -10 dBm to operate the amplifier in the small-signal and saturation regions, respectively. The fluctuations in the optical signal were emulated with an acousto-optic modulator driven with a sinusoidal voltage. From the measured results, we have found that an all-optical AGC EDFA could suppress the optical signal fluctuation effectively, as long as the EDFA operated in the small-signal region with a high feedback amplified spontaneous emission (ASE) power.