• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.199-204
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• 2022

The purpose of this study is to broaden the understanding of the Security Services Industry Act, and also to examine the meanings of various phenomena by analyzing the media report big data rather than the researchers' perspective on the Security Services Industry Act. In the research method, this study searched for a keyword 「Security Services Industry Act」 that prescribes the security work as an important subject of crime prevention and maintenance of public order in Korea. The data was searched from 1990 to 2021 the BIG KINDS could provide. Also, for the concrete analysis during the period of data search, it was divided into settlement period(1976~2001), growth period-quantitative(2002~2012), and growth period-qualitative(2013~2021). In the results of this study, the media report perception of the Security Services Industry Act is continuously emphasizing the social roles and importance of private security according to the flow of time. The consequent marketability of private security will play great roles in the protection of people's lives and properties in the combination with various other industries in the future. However, the private security industry that provides public peace service together with the police, could be rising as an element that hinders the development of private security industry because of various social issues caused by legal regulations and illegal problems, so it would be necessary to more strengthen its responsibility and roles accordingly.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.171-177
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• 2022

In this paper, we propose a service method that can provide insight into multi-source agricultural data, way to cluster environmental factor which supports data analysis according to time flow, and curate crop environmental factors. The proposed curation service consists of four steps: collection, preprocessing, storage, and analysis. First, in the collection step, the service system collects and organizes multi-source agricultural data by using an OpenAPI-based web crawler. Second, in the preprocessing step, the system performs data smoothing to reduce the data measurement errors. Here, we adopt the smoothing method for each type of facility in consideration of the error rate according to facility characteristics such as greenhouses and open fields. Third, in the storage step, an agricultural data integration schema and Hadoop HDFS-based storage structure are proposed for large-scale agricultural data. Finally, in the analysis step, the service system performs DTW-based time series classification in consideration of the characteristics of agricultural digital data. Through the DTW-based classification, the accuracy of prediction results is improved by reflecting the characteristics of time series data without any loss. As a future work, we plan to implement the proposed service method and apply it to the smart farm greenhouse for testing and verification.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.181-190
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• 2022

In this paper, we use a LiDAR sensor and an image camera to detect a left-turning waiting vehicle in two ways, unlike the existing image-type or loop-type left-turn detection system, and a left-turn traffic signal corresponding to the waiting length of the left-turning lane. A system that can efficiently assign a system is introduced. For the LiDAR signal transmitted and received by the LiDAR sensor, the left-turn waiting vehicle is detected in real time, and the image by the video camera is analyzed in real time or at regular intervals, thereby reducing unnecessary computational processing and enabling real-time sensitive processing. As a result of performing a performance test for 5 hours every day for one week with an intersection simulation using an actual signal processor, a detection rate of 99.9%, which was improved by 3% to 5% compared to the existing method, was recorded. The advantage is that 99.9% of vehicles waiting to turn left are detected by the LiDAR sensor, and even if an intentional omission of detection occurs, an immediate response is possible through self-correction using the video, so the excessive waiting time of vehicles waiting to turn left is controlled by all lanes in the intersection. was able to guide the flow of traffic smoothly. In addition, when applied to an intersection in the outskirts of which left-turning vehicles are rare, service reliability and efficiency can be improved by reducing unnecessary signal costs.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.3
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• pp.213-239
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• 2022

This study attempted to organize the transition process of Royal Library (Gyujanggak) in chronological order, analyze the flow and find diachronic meaning during Gojong period, the most confused time at home and abroad prior to modernization. For this, first, the total status quo of King Gojong's library and book storage which played role of Royal Library and a personal library in Gojong period was investigated. Second, based on the current status of the investigation, the transition process from the Royal library in the early days of King Gojong to the Imperial library during the Korean Empire and its meaning were considered with the Annals of the Joseon Dynasty, Seungjeongwon diary, various catalogs and historical records. Third, the changes of space-time and aspect of Royal library through the palace of Gyeongbokgung, Changdeokgung, and Gyeongungung were examined to draw a sociopolitical meaning by schematizing each palace. As a result, first, King Gojong conjugated Kyujanggak as a device to strengthen the royal authority and accommodate Western culture in the process of modernization. Second, the crucial spaces containing the political orientation of King Gojong, such as the present king's portrait storage place, library(book storage), and office, formed a separate hall across Gyeongbokgung, Changdeokgung, Gyeongungung, and gradually changed into a Western architectural style.

• Journal of Korean Port Research
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• v.6 no.1
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• pp.93-110
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• 1992

The most change in this century is supposed to be declination of ideology, and block of world economy. Addition to down full of cold war atmosphere around Northeast Asia, not only economic and social mood in this region is dramatically changed, but also it gave birth to the block of Northeast economy that accerlated new hub of world economy. According to dramatic change of economic surroundings the dynamic potential of growth in this region will be guided to enlarge inter-regional trade and increase volume of trade, thus suggests to grow steadily transportation. cargos in this region will have to arrange the system of delivery and inner transportation, accessary facilities, inter-regional harbors if North America and EC has connected easily. As have accerlated GATT and UR represented multilateralism and regionalism, it has regulated to increase trades of region due to relief of the trade barrier through specific areas has agreed with separately. The flow of regionalism of world economy has appeared to realize EC and NAFTA centered U.S.A, and also has presented to free trade region or one-size market agreement in Asia as APEC, EAEG in Malaysia, and etc. In defense to this block and internationalism of world economy, Pusan has to come forward to the hub of Northeast others has proposed a project to dominate the Northeast, Economy Association Agreement as Far East comprehensive development project in USSR, Hunchun development project in NK, and East Sea development project in PRC, Niigate regional development in Japan, Duman River development project in NK, and East Sea development project in Korea. As this exercise has proceed, Pusan also have arranged development strategy definitely and prepared provisions systematically. Engaging to participate center of delivery system is meant to be completed complex functions, namely the transfer storage processing & assembly function of international commodity. Pusan has ability to be terminal point of TSR. it had been connected to EC as the biggest economy block and TKR as complex transportation root to Far East, it would be the center of inground and seabase delivery terminal to Rotterdom as the biggest container pier and major piers to North-East and South East Asia. In order to provide a Role of 21 century's internationalization, Pusan has appealed to participate in management information research and development connected to Pohang-Ulsan-Changwon-Masan, and has utilized efficiently the resources such as man, material, money and information.

• Journal of Korean Library and Information Science Society
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• v.53 no.4
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• pp.1-23
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• 2022

The record is both an palmistry and a fingerprint for human life and world of knowledge. Books, which are synonymous with records, are a channel through which history is traced and a window to savor. And the most primitive form of the book is the classics of ancient Greece and Rome, and the best part is the manuscript. It refers to the original recorded on papyrus, parchment, paper, etc. and the translated and translated copies of them. If we reflect on the long history of knowledge and culture, the classic manuscripts have continued to scatter and collect like a river flowing through time and space due to not only natural disasters, but also artificial cultural vandalism and the bibliocaust. Therefore, this study traced and linked the wandering and library return of classic manuscripts from ancient Greece to the medieval Renaissance period. As a result, dynasties and empires, monarchs and prime ministers, generals and conquerors, nobles and wealthy, clergy and scholars concentrated on collecting and translating classical manuscripts. If the ancient Greek and Roman scholars did not record knowledge and wisdom in papyrus and parchment, the medieval Byzantine and Islamic Empires did not collect, translate and reproduce classics, the book hunters didn't keep track of the classics, the Renaissance humanists did not restore and reinterpret the classics through intellectual exodus, and the historical library did not collect and preserve the classics and their translations, modern people would not have access to classical knowledge. Nevertheless, the tracing of classical manuscripts is an aporia in which many difficulties and contradictions overlap in the tracing of classic manuscripts due to historical flow, geographical wandering, and linguistic transformation. When a new manuscript is discovered and interpreted, correction and supplementation are inevitable, so the pursuit of the wandering and return of the classic manuscripts through follow-up research must be continued.

• Economic Analysis
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• v.27 no.1
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• pp.67-90
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• 2021

This study found an interesting fact that the nonlinear relationship structure between volatility and trading volume changed before and after the COVID-19 pandemic according to empirical analysis using Bitcoin (BTC) market data that sensitively reflects investors' trading behavior. That is, their relationship appeared positive (+) in a stable market state before COVID-19 pandemic, as in theory based on the information flow paradigm. In a state under severe market stress due to COVID-19 pandemic, however, their dependence structure changed and even negative (-). This can be seen as a consequence of increased market stress caused by COVID-19 pandemics from a behavioral economics perspective, resulting in structural changes in the asset market and a significant impact on the nonlinear dependence of volatility and trading volume (in particular, their dependence at extreme quantiles). Hence, it should be recognized that in addition to information flows, psychological phenomena such as behavioral biases or herd behavior, which are closely related to market stress, can be a key in changing their dependence structure. For empirical analysis, this study performs a test of Ross (2015) for detecting a structural change, and proposes a Copula Regression Quantiles (CRQ) approach that can identify their nonlinear relationship structure and the asymmetric dependence in their distribution tails without the assumption of i.i.d. random variable. In addition, it was confirmed that when the relationship between their extreme values was analyzed by linear models, incorrect results could be derived due to model specification errors.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.305-318
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• 2023

The complexity of software products led many manufacturers to stitch open-source software for composing a product. Using open-source help reduce the development cost, but the difference in the different development life cycles makes it difficult to keep the product up-to-date. For this reason, even the patches for known vulnerabilities are not adopted quickly enough, leaving the entire product under threat. Existing studies propose to use binary differentiation techniques to determine if a product is left vulnerable against a particular vulnerability. Despite their effectiveness in finding real-world vulnerabilities, they often fail to locate the evidence of a vulnerability if it is a small function that usually is inlined at compile time. This work presents our tool FunRank which is designed to identify the short functions. Our experiments using synthesized and real-world software products show that FunRank can identify the short, inlined functions that suggest that the program is left vulnerable to a particular vulnerability.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.3
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• pp.152-160
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• 2023

After the recent COVID-19 outbreak, more and more people are paying attention to health care. Many people feel uncomfortable in life due to muscle pain after sports or exercise as a hobby and often take a break from exercise. After exercising for a long time or exercising excessively, pain appears throughout the body within 24 to 48 hours after exercise. This pain is called delayed onset muscle soreness (DOMS). In this study, the effectiveness of the pain relief of delayed onset myalgia was verified by using a high-frequency pain therapy device that generates deep heat. EMG was measured before and after pain treatment at ordinary times, RMS values were obtained through analysis, statistical analysis was performed using the SPSS program, and it was judged to be statistically significant. In addition, statistical analysis of the RMS value between normal and after pain treatment was conducted to confirm that there was no significance, and to confirm how much it returned to normal after pain treatment. In addition, since the standards for pain are different for each person even if the size of the same pain is the same, the NRS questionnaire for the size of pain was conducted, and the size of pain felt by the subjects was analyzed using the SPSS program and statistical significance was obtained. Therefore, as a result of this study, the high-frequency pain therapy device generated deep heat in the pain area to raise the temperature, and expanded the arteries and capillaries to increase blood flow, thereby increasing blood circulation and metabolism, and alleviating the pain of delayed onset muscle pain.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.230-238
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• 2023

Small and medium-sized food manufacturing enterprises are largely reliant on manual labor, from inputting raw materials to palletizing the final product. Recently, there has been a trend toward smartness and digitization through the implementation of robotics and sensor data technology. In this study, we examined the effectiveness of improvement through 3D simulation on two repetitive work processes within a food manufacturing company. These processes involve workers whose speed cannot match the capacity of the applied equipment. Two manual processes were selected: the weighing and packing process performed by workers after skewer assembly, and the manual batch process of counting randomly delivered frozen foods, packing (both internal and external), and palletizing. The production volume, utilization rate, and number of workers were chosen as verification indicators. As a result of the simulation for improving the 3D process, production increased by 13.5% and 56.8% compared to the existing process, respectively. This was particularly evident in the process of applying palletizing robots. In both processes, as the utilization rate and number of input workers decreased, robots could replace tasks with high worker fatigue, thereby reducing work overload. This study demonstrates the potential to visually compare the process flow improvement using 3D simulations and confirms the possibility of pre-validation for improvement.