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A Methodology of AI Learning Model Construction for Intelligent Coastal Surveillance (해안 경계 지능화를 위한 AI학습 모델 구축 방안)

  • Han, Changhee;Kim, Jong-Hwan;Cha, Jinho;Lee, Jongkwan;Jung, Yunyoung;Park, Jinseon;Kim, Youngtaek;Kim, Youngchan;Ha, Jeeseung;Lee, Kanguk;Kim, Yoonsung;Bang, Sungwan
    • Journal of Internet Computing and Services
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    • v.23 no.1
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    • pp.77-86
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    • 2022
  • The Republic of Korea is a country in which coastal surveillance is an imperative national task as it is surrounded by seas on three sides under the confrontation between South and North Korea. However, due to Defense Reform 2.0, the number of R/D (Radar) operating personnel has decreased, and the period of service has also been shortened. Moreover, there is always a possibility that a human error will occur. This paper presents specific guidelines for developing an AI learning model for the intelligent coastal surveillance system. We present a three-step strategy to realize the guidelines. The first stage is a typical stage of building an AI learning model, including data collection, storage, filtering, purification, and data transformation. In the second stage, R/D signal analysis is first performed. Subsequently, AI learning model development for classifying real and false images, coastal area analysis, and vulnerable area/time analysis are performed. In the final stage, validation, visualization, and demonstration of the AI learning model are performed. Through this research, the first achievement of making the existing weapon system intelligent by applying the application of AI technology was achieved.

Study on the Textile Design using Buttons on Western clothing in the 18th·19th Centuries (18·19세기 서양 복식의 단추를 활용한 텍스타일 디자인 연구)

  • Lee, Eui-Jung;Kang, Kyung-Ae
    • Journal of the Korea Fashion and Costume Design Association
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    • v.24 no.2
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    • pp.97-115
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    • 2022
  • The study aims to explore a new direction for research on buttons by understanding the functions and artistic features of buttons on Western clothing in the 18th and 19th centuries, and to use the findings to develop a textile design. In terms of the research method, the period was set in the 18th and 19th centuries, when decorative features and artistic values of buttons on Western clothing reached theirpeak, while theoretical analysis was made based on literature and previous research papers on Western clothing, websites of the Metropolitan Museum and French Museum of Decorative Arts and other website materials, as well as special exhibition materials of the National Museum of Modern and Contemporary Art. Textile designs were developed using computer programs, including Clip Studio Paint and Adobe Photoshop, by integrating the reinterpreted motif of buttons in the 18th and 19th centuries and the styles that prevailed at that time. The results are as follows. First, buttons on Western clothing had the following three functions: a practical function, a symbolic function representing the wearer's status, and a decorative function expressing individuality and beauty. Second, buttons in the 18th century were works of art made with various handicraft techniques and were an important medium that expressed the wearer's fashion sense. In addition, buttons in the 19th century were mass-produced as a result of industrialization and took a major step forward with the development of materials and dyeing. Buttons reflected themes of poetry, drama, biblical stories, music and art, lifestyle,, along with the political and social atmosphere that rapidly changed after the revolution and fashion trends. Third, the artistic features and shapes of buttons were reinterpreted to create a design motif, and the design was developed reflecting the characteristic elements of the rococo style of the 18th century and the art nouveau style of the 19th century that can conform to modern fashion, thereby rediscovering the artistic meaning and value implied in buttons. In the future, the research on creative buttons of 20th century artists is expected to be conducted from various perspectives.

Exploring the Effects of Complex Body Habits Training on Autistic Youth (복합적 몸 습관훈련이 자폐 청년들에게 미치는 효과 탐색)

  • Lee, Ku Yeon;Lee, Hyung H.
    • Journal of Naturopathy
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    • v.9 no.2
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    • pp.62-70
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    • 2020
  • Purpose: According to the Body-EU education program, this study investigates changes after conducting education with ten subjects with autism symptoms (disability level 2~3) 63 times (126 hours) for nearly two years. Methods: Body-EU habit practice, note writings discussion, singing, Bible study, question and communication, class arrangement, etc., a total of 63 times were educated for 2 hours each week. Results: Subjects felt comfortable breathing and improved energy. Other subject's habit of an out-toed gait step and bending back alleviated. One subject made it easier to speak, so if talking with no strength. When breathing, the stuffy nose improved, the eyes became calm, and the hands and feet were warm. Subject felt like my head was cleaned. Heart tightness disappeared. Subject felt at ease as gaining confidence. The subject gained confidence in seeing whoever the other person was. The subject's pronunciation became more sophisticated, with more confidence, and his mouth cramping alleviated. Subjects with right eye movements showed a relatively high concentration in education time. Conclusions: Subjects are educated and trained in making general habits of their body from morning to going to bed. This study was a research program for ordinary people, but it confirmed with autism. Whether it was genetic autism or acquired autism, they could be somewhat relieved.

Utilization of qPCR Technology in Water Treatment (수질분석에 사용되는 qPCR기술)

  • Kim, Won Jae;Hwang, Yunjung;Lee, Minhye;Chung, Minsub
    • Applied Chemistry for Engineering
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    • v.33 no.3
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    • pp.235-241
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    • 2022
  • According to the World Water Development Report 2015 released by the United Nations, drinking water is expected to decrease by 40% by 2030. This does not mean that the amount of water decreases, but rather that the water source is contaminated due to environmental pollution. Because microbes are deeply related to water quality, the analysis of microbe is very important for water quality management. While the most common method currently used for microbial analysis is microscopic examination of the shape and feature after cell culture, as the gene analysis technology advances, quantitative polymerase chain reaction (qPCR) can be applied to the microscopic microbiological analysis, and the application method has been studied. Among them, a reverse transcription (RT) step enables the analysis of RNA by RT-PCR. Integrated cell culture (ICC)-qPCR shortens the test time by using it with microbial culture analysis, and viability qPCR can reduce the false positive errors of samples collected from natural water source. Multiplex qPCR for improved throughput, and microfluidic qPCR for analysis with limited amount of sample has been developed In this paper, we introduce the case, principle and development direction of the qPCR method applied to the analysis of microorganisms.

Automatic Generation of Bibliographic Metadata with Reference Information for Academic Journals (학술논문 내에서 참고문헌 정보가 포함된 서지 메타데이터 자동 생성 연구)

  • Jeong, Seonki;Shin, Hyeonho;Ji, Seon-Yeong;Choi, Sungphil
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.241-264
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    • 2022
  • Bibliographic metadata can help researchers effectively utilize essential publications that they need and grasp academic trends of their own fields. With the manual creation of the metadata costly and time-consuming. it is nontrivial to effectively automatize the metadata construction using rule-based methods due to the immoderate variety of the article forms and styles according to publishers and academic societies. Therefore, this study proposes a two-step extraction process based on rules and deep neural networks for generating bibliographic metadata of scientific articlles to overcome the difficulties above. The extraction target areas in articles were identified by using a deep neural network-based model, and then the details in the areas were analyzed and sub-divided into relevant metadata elements. IThe proposed model also includes a model for generating reference summary information, which is able to separate the end of the text and the starting point of a reference, and to extract individual references by essential rule set, and to identify all the bibliographic items in each reference by a deep neural network. In addition, in order to confirm the possibility of a model that generates the bibliographic information of academic papers without pre- and post-processing, we conducted an in-depth comparative experiment with various settings and configurations. As a result of the experiment, the method proposed in this paper showed higher performance.

Development of Series Connectable Wheeled Robot Module (직렬연결이 가능한 소형 바퀴 로봇 모듈의 개발)

  • Kim, Na-Bin;Kim, Ye-Ji;Kim, Ji-Min;Hwang, Yun Mi;Bong, Jae-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.5
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    • pp.941-948
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    • 2022
  • Disaster response robots are deployed to disaster sites where human access is difficult and dangerous. The disaster response robots explore the disaster sites prevent a structural collapse and perform lifesaving to minimize damage. It is difficult to operate robots in the disaster sites due to rough terrains where various obstacles are scattered, communication failures and invisible environments. In this paper, we developed a series connectable wheeled robot module. The series connectable wheeled robot module was developed into two types: an active driven robot module and a passive driven robot module. A wheeled robot was built by connecting the two active type robot modules and one passive type robot module. Two robot modules were connected by one DoF rotating joint, allowing the wheeled robot to avoid obstructions in a vertical direction. The wheeled robot performed driving and obstacle avoidance using only pressure sensors, which allows the wheeled robot operate in the invisible environment. An obstacle avoidance experiment was conducted to evaluate the performance of the wheeled robot consisting of two active driven wheeled robot modules and one passive driven wheeled robot module. The wheeled robot successfully avoided step-shaped obstacles with a maximum height of 80 mm in a time of 24.5 seconds using only a pressure sensors, which confirms that the wheeled robot possible to perform the driving and the obstacle avoidance in invisible environment.

Perilla Frutescens Extract Protects against Scopolamine-Induced Memory Deficits in Mice (스코폴라민으로 유도한 기억력 손상 모델에서 소엽 추출물의 보호 효과)

  • Lee, Jihye;Lee, Eunhong;Jung, Eun Mi;Kim, Dong Hyun;Kim, Sung-kyu;Park, Mi Hee;Jung, Ji Wook
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.3
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    • pp.97-103
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    • 2021
  • Perilla frutescens (P. frutescens) is an important herb used for many purposes such as medicinal, aromatic, and functional food in Asian countries and has beneficial effects such as antioxidant activity, anti-inflammation activity, anti-depression activity, and anxiolytic activity. However, there have been no studies on the protective effect of P. frutescens extract (PFE) on amnesia in vivo. The present study aimed to investigate whether PFE protects memory deficit using a scopolamine-induced mice model and elucidate the underlying mechanisms involved. The protective effect of PFE against scopolamine-induced memory deficits was investigated using Y-maze, passive avoidance, and Morris water maze tests. Furthermore, the potential mechanisms of PFE in improving memory capabilities related to the cholinergic system and antioxidant activity were examined. PFE significantly increased spontaneous alternation in the Y-maze test, step-through latency in the passive avoidance test, and swimming time in the target quadrant in the probe test when compared to the scopolamine-treated group. Likewise, PFE significantly decreased escapes latency in the Morris water maze test. PFE could not regulate cholinergic function in acetylcholine level and acetylcholine esterase activity. However, PFE increased DPPH radical scavenging activity dose-dependently and total polyphenol content was 127.7±1.2 ㎍ GAE/mg. The results showed that the PFE could be a preventive and/or therapeutic candidate for memory and cognitive dysfunction in Alzheimer's disease.

Effect of Mechanical Thermal Massage Inducing Gradual Spinal Segmentation on the Improvement of Pain (단계적 척추 분절운동을 유도하는 기계식 온열 마사지가 통증 개선에 미치는 영향)

  • Hyeun-Woo, Choi;Do-Hyun, Ahn;Kyung-Mi, Jung;Na-Young, Kim;Ji-Eun, Lee;Jong-Min, Lee
    • Journal of the Korean Society of Radiology
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    • v.16 no.7
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    • pp.879-887
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    • 2022
  • In this study, we tried to confirm whether the mechanical sequential elevation method of the body pressure measuring bed actually induces segmental motion for each part of the spine. To this end, a lateral X-ray examination was performed, and it was confirmed that the sequential pressure device induces a step-wise segmentation of the spine by mechanically lifting each part of the spine vertically. Then, pain, walking ability, and depression scale were measured and analyzed in subjects who were aware of back pain. VAS(p<0.05) and ODI(p<0.05) for 10 days tended to decrease in average after bed use. In the gait ability test(p<0.05), as the number of times of bed use increased, the moving time in the test decreased and the moving distance increased. In addition, GSDDF(p<0.05) decreased after bed use. As a result, it was confirmed that the spinal segmentation caused by the heat and acupressure provided by the bed affected gait and depression as well as pain relief.

Prediction of KRW/USD exchange rate during the Covid-19 pandemic using SARIMA and ARDL models (SARIMA와 ARDL모형을 활용한 COVID-19 구간별 원/달러 환율 예측)

  • Oh, In-Jeong;Kim, Wooju
    • Journal of Intelligence and Information Systems
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    • v.28 no.4
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    • pp.191-209
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    • 2022
  • This paper is a review of studies that focus on the prediction of a won/dollar exchange rate before and after the covid 19 pandemic. The Korea economy has an unprecedent situation starting from 2021 up till 2022 where the won/dollar exchange rate has exceeded 1,400 KRW, a first time since the global financial crisis in 2008. The US Federal Reserve has raised the interest rate up to 2.5% (2022.7) called a 'Big Step' and the Korea central bank has also raised the interested rate up to 2.5% (2022.8) accordingly. In the unpredictable economic situation, the prediction of the won/dollar exchange rate has become more important than ever. The authors separated the period from 2015.Jan to 2022.Aug into three periods and built a best fitted ARIMA/ARDL prediction model using the period 1. Finally using the best the fitted prediction model, we predicted the won/dollar exchange rate for each period. The conclusions of the study were that during Period 3, when the usual relationship between exchange rates and economic factors appears, the ARDL model reflecting the variable relationship is a better predictive model, and in Period 2 of the transitional period, which deviates from the typical pattern of exchange rate and economic factors, the SARIMA model, which reflects only historical exchange rate trends, was validated as a model with a better predictive performance.

Analysis of Threat Factors of the Chinese Maritime Militia and the Prospect of Maritime Disputes between Korea and China (중국 해상 민병대의 위협요인 분석 및 한·중 해양 분쟁 전망)

  • Park, Byeung chan
    • Maritime Security
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    • v.4 no.1
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    • pp.83-113
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    • 2022
  • Although China's maritime militia has not been well known despite its long history, it is recently emerging as a serious threat to maritime security, causing neighboring countries' security concerns due to the growing number of maritime disputes with China. In this regard, it is now time to clearly define the true nature of the Chinese maritime militia. A close look at the organization and roles of the Chinese maritime militia reveals that it is an organization that is systematically managed and operated by the Chinese government and the People's Liberation Army of China. Its role is to serve the purpose of "contributing to the protection and expansion of China's marine interests." In addition, the threat factors of the Chinese maritime militia were analyzed by examining the cases of maritime disputes between the Chinese maritime militia and neighboring countries. First, the Chinese maritime militia has implemented the "Gray Zone Strategy." Second, it is a systematic organization supported by the Chinese government and the People's Liberation Army. Third, it is a maritime power that cannot be ignored as the world's largest militia organization. Fourth, it has a strategic flexibility that enables the execution of the dual mission of working for a living such as commercial fishing and serving in the maritime militia. The threats of the Chinese maritime militia are not limited to Southeast Asian countries located in the South China Sea. This is also the case in Korea as the country cannot avoid maritime disputes with China such as the Ieodo issue and the boundary delimitation of the West Sea. Accordingly, this study was focused on presenting a predictable scenario and countermeasures based on the analysis through a scenario technique with respect to the two cases that are most likely to occur in Korea-China relations. Finally, beyond identifying the nature of the Chinese maritime militia, this study takes a further step to share considerations as to how the organization may operate and develop in the future and how we can cope with its moves.

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