• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.659-674
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• 2019

The purpose of this study is to verify the path of the motivation, the flow, and problem gambling and intervention points. To this end, we verified the mediation effect of the motivation of the users outside sales offices influences the problem gambling through a flow and the moderated mediation effect of the frequency of the use of a bicycle racing tracks in that process. A total of 411 cases were analyzed using surveys conducted for one day on a weekday and weekend (September 13th and 15th 2018) for adults using an outside sales office in Jangan. According to the analysis, the causality of gambling by gambling motivation(amusement, excitement, avoidance, society, money) showed its effect positively by mediating the flow. The adjusted effect of the frequency of the use on the intermediary effect of the motivation ${\rightarrow}$ flow ${\rightarrow}$ problem gambling behavior, which is the main concern of this study, was found to be statistically significant. More specifically, the effect of adjusting the frequency of the use was statistically significant in both paths: motivation/flow and flow/problem gambling. It was also shown that, in the model with excitement, avoidance and social motivation, the adjustment of the frequency was only significant in the causal relationship between the flow and problem gambling. Based on these findings, this study made clinical and policy suggestions for intervention for gamblers and user protection regulations.

• Resources Recycling
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• v.27 no.6
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• pp.23-29
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• 2018

Recently rapid economic growth and technological development have led to an increase in the generation of waste electrical and electronic equipment (WEEE). As the amount of electric and electronic waste generated increases, the importance of processing waste printed circuit boards (PCB) is also increasing. Various studies have been conducted to recycle various valuable metals contained in a waste PCB in an environmentally friendly and economical manner. To get anode slime containing Ag and Au, Anode copper prepared from PCB scraps was used by means of electro-refining. Ag and Au recovery was conducted by leaching, direct reduction, and ion exchange method. In the case of silver, the anode slime was leached at 3 M $HNO_3$, 100 g/L, $70^{\circ}C$, and Ag was recovered by precipitation, alkali dissolution, and reduction method. In the case of gold, the nitrate leaching residues of the anode slime was leached at 25% aqua regia, 200 g/L, $70^{\circ}C$, and Au was recovered by pH adjustment, ion exchange resin adsorption, desorption and reduction method. The purity of the obtained Au and Ag were confirmed to be 99.99%.

• Korean Journal of Heritage: History & Science
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• v.50 no.1
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• pp.58-77
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• 2017

This study applied the index called Visual Perception Intensity (VPI) which quantitatively deals with landscape values and viewpoints to designate the cultural heritage areas in the Scenic Sites. The results of the study are as follows. First, a VPI selection index was presented for designating the cultural heritage areas in the Scenic Sites. The index was applied in consideration of the distance from the viewing point to the object and its incident angle. In addition, the process of the VPI analysis was implemented with GIS and the analysis algorithm was constructed. Second, the possibility of VPI was examined by comparing the simple frequency of the cumulative visibility with the results of the VPI. The VPI was analyzed to be more influenced by the incidence angle than the distance between the viewpoint and the object within a 4.74 km area. Third, a field survey was performed to investigate the effectiveness of the VPI classification. The survey was implemented based on the results of the investigation into the VPI to examine whether human visual perception was fully reflected. It was confirmed through the field survey that an area with high VPI was also an important area. Fourth, a plan for the cultural heritage area adjustment was constructed by applying the VPI to the areas already designated as Scenic Sites. As a result of classifying the VPI into three classes, it was found that the areas with the second class or higher were needed to be designated as cultural heritage areas and the areas with the third class as the Historical and Cultural Environments Preservation Area.

• (The)Study of the Eastern Classic
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• no.59
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• pp.9-32
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• 2015

The purpose of this paper is to study the development process of our native verses from the Three Kingdoms Period to the Goryeo Dynasty. The contents of the discussion can be summarized as follows. Typical form of "Sanega" from the Three Kingdoms Period to the late Silla/ early Goryeo Dynasty is a well organized 3-layered structure representing the contents of enlightenment of a high priest. Sanaega has a poetic style characterized by distinct literary features compared to other native verses in the same era. The reason is that 10-line Hyangga improves its poetic level as it is aware of Chinese poetry. As it enters the Goryeo Dynasty, this literary composition starts to change. In other words, Sanega declines and quatrain emerges in the front of literary history. Unlike the Three Kingdoms Period ~ the late Silla/ early Goryeo Dynasty, development of quatrain results from that native verses enhances the characteristics of song rather than poem in the Goryeo Dynasty. Native verses form the mutually complementary relationship by adjusting the position as the song rather than competing with it as the poem as Chinese poetry becomes more common. In the Goryeo Dynasty, Sanaega declines and Sijo emerges in literary history, because native verses have been developed in the poetic form to freely express general emotion and to be more loved from the public. It is in the same vein as a native verse in the form of quatrain raises its vitality by enhancing the characteristics of the song through the adjustment of its position compared to Chinese poetry.

• Journal of the Microelectronics and Packaging Society
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• v.28 no.1
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• pp.1-12
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• 2021

Here, we introduce a laser-induced graphene synthesis technology and its applications for the electric/electronic device manufacturing process. Recently, the micro/nanopatterning technique of graphene has received great attention for the utilization of these new graphene structures, which shows progress developments at present with a variety of uses in electronic devices. Some examples of practical applications suggested a great potential for the tunable graphene synthetic manners through the control of the laser set-up, such as a selection of the wavelength, power adjustment, and optical techniques. This emerging technology has expandability to electric/electronic devices combined together with existed micro-packaging technology and can be integrated with the new processing steps to be applied for the operation in the fields of biosensors, supercapacitors, electrochemical sensors, etc. We believe that the laser-induced graphene technology introduced in this paper can be easily applied to portable small electronic devices and wearable electronics in the near future.

• Journal of the Korea institute for structural maintenance and inspection
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• v.24 no.6
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• pp.180-188
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• 2020

To replace Japanese coal ash used in the domestic cement production and to recycle large quantities of domestic pond ash, it is essential to develop the technologies for quality control of cement by using the domestic pond ash. Thus, in this study, the feasibility of using the pond ash as a raw material for cement was investigated through chemical composition and microstructure analysis. As a result, most of the domestic pond ash contained slightly more Fe2O3, chloride, and unburned carbon contents than Japanese coal ash. In particular, the contents of chloride were considerably low in the pond ash that was transferred to fresh water or collected from surface of landfill area. However, since circulating fluidized bed boiler coal ash had relatively high SO3 contents causing durability problems of cement, it was not suitable for use as a raw material for cement. Thus, to replace Japanese coal ash with the domestic pond ash, it is necessary to introduce the adjustment of mixture proportion of cement raw materials and the process of removing chloride in the pond ash.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.107-119
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• 2023

The technology that recognizes a soldier's motion and movement status has recently attracted large attention as a combination of wearable technology and artificial intelligence, which is expected to upend the paradigm of troop management. The accuracy of state determination should be maintained at a high-end level to make sure of the expected vital functions both in a training situation; an evaluation and solution provision for each individual's motion, and in a combat situation; overall enhancement in managing troops. However, when input data is given as a timer series or sequence, existing feedforward networks would show overt limitations in maximizing classification performance. Since human behavior data (3-axis accelerations and 3-axis angular velocities) handled for military motion recognition requires the process of analyzing its time-dependent characteristics, this study proposes a high-performance data-driven classifier which utilizes the long-short term memory to identify the order dependence of acquired data, learning to classify eight representative military operations (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). Since the accuracy is highly dependent on a network's learning conditions and variables, manual adjustment may neither be cost-effective nor guarantee optimal results during learning. Therefore, in this study, we optimized hyperparameters using Bayesian optimization for maximized generalization performance. As a result, the final architecture could reduce the error rate by 62.56% compared to the existing network with a similar number of learnable parameters, with the final accuracy of 98.39% for various military operations.

• Korean Journal of Culture and Social Issue
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• v.21 no.3
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• pp.299-315
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• 2015

This study examines correlations among factors that reportedly affect adjustment to military life: self esteem, locus of control,, social support and stress coping strategies. The study also attempts to validate the structural model to enhance understanding of the process of adjusting to the military life. The subjects of the study were 447 listed soldiers from private to sergeant currently stationed and serving in an army post in Gangwon-Do, Korea. The following tools were used for this study. Based on self-inventory questionnaires, evaluations were made regarding self esteem, locus of control, social support, stress management, adaptation to military life. Reliability of each criterion was evaluated based on reliability examination, correlations among parameters were analyzed, and the structural equation model was validated to verify the research model. The results of the study can be summarized as follows. First, internal control and self esteem have significant positive influence on social support and stress coping. Second, internal control and self esteem affect adjusting to military life through social support and active coping, two factors mediated in this study to act as parameters between self-esteem and internal control and military adaption. This study emphasizes intervention such as establishment of a social support system and training for taking necessary actions as limitations of studies dealing with internal traits and military adaptation. Since the subjects of this study were chosen from an army based in a single location for convenience' sake, it may be difficult to generalize the results to analyze the entire military.

• Journal of Internet Computing and Services
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• v.24 no.4
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• pp.25-36
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• 2023

Today, as AI (Artificial Intelligence) technology is introduced in various fields, including security, the development of technology is accelerating. However, with the development of AI technology, attack techniques that cleverly bypass malicious behavior detection are also developing. In the classification process of AI models, an Adversarial attack has emerged that induces misclassification and a decrease in reliability through fine adjustment of input values. The attacks that will appear in the future are not new attacks created by an attacker but rather a method of avoiding the detection system by slightly modifying existing attacks, such as Adversarial attacks. Developing a robust model that can respond to these malware variants is necessary. In this paper, we propose two methods of generating Adversarial attacks as efficient Adversarial attack generation techniques for improving Robustness in AI models. The proposed technique is the XAI-based attack technique using the XAI technique and the Reference based attack through the model's decision boundary search. After that, a classification model was constructed through a malicious code dataset to compare performance with the PGD attack, one of the existing Adversarial attacks. In terms of generation speed, XAI-based attack, and reference-based attack take 0.35 seconds and 0.47 seconds, respectively, compared to the existing PGD attack, which takes 20 minutes, showing a very high speed, especially in the case of reference-based attack, 97.7%, which is higher than the existing PGD attack's generation rate of 75.5%. Therefore, the proposed technique enables more efficient Adversarial attacks and is expected to contribute to research to build a robust AI model in the future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.1
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• pp.41-49
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• 2022

Recently interests on the application of thermal cameras have increased with the advance of image analysis technology. Aside from a simple image acquisition, applications such as digital twin and thermal image management systems have gained popularity. To this end, we studied the effect of emissivity on the DN (Digital Number) value in the process of derivation of a relational expression for converting DN to an actual surface temperature. The DN value is a number representing the spectral band value of the thermal image, and is an important element constituting the thermal image data. However, the DN value is not a temperature value indicating the actual surface temperature, but a brightness value indicating high and low heat as brightness, and has a non-linear relationship with the actual surface temperature. The reliable relationship between DN and the actual surface temperature is critical for a thermal image processing. We tested the relationship between the actual surface temperature and the DN value of the thermal image, and then the radiation adjustment was performed to better estimate actual surface temperatures. As a result, the relation graph between the actual surface temperature and the DN value similarly show linear pattern with the relation graph between the radiation-controlled non-contact thermometer and the DN value. And the non-contact temperature after adjusting the emissivity was closer to the actual surface temperature than before adjusting the emissivity.