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Application of Genetic Algorithms to Optimize the Storage Location of Products in Military Logistics (군(軍) 물류창고 내(內) 물품 저장위치 최적화를 위한 유전알고리즘 적용 방안)

  • Ha, Won Yong;Cho, Ki-yang;Han, Chung Sik
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.1
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    • pp.108-116
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    • 2022
  • Supply in military operations has a significant impact on overall combat capability and efficiency. Therefore, modernization of military logistics is underway to ensure rapid and accurate distribution. And, effective warehouse management is paramount. This paper proposes a new product allocation model that uses a genetic algorithm. The model considers order frequency and mass of products because the military equipment is usually heavier than available products. A computer simulation shows that products are assigned to optimal locations and reduce the consumed energy for forklifts by more than 25 % with similar travel time. Also, we show the superiority of genetic algorithm by comparing them with other algorithms.

Designing a nanocrystal-based temperature and strain multi-sensor with one-step inkjet printing

  • Bang, Junsung;Ahn, Junhyuk;Oh, Soong Ju
    • Journal of Sensor Science and Technology
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    • v.30 no.4
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    • pp.218-222
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    • 2021
  • Wearable multi-sensors based on nanocrystals have attracted significant attention, and studies on patterning technology to implement such multi-sensors are underway. Conventional patterning processes may affect material properties based on high temperatures and harsh chemical conditions. In this study, we developed an inkjet printing technique that can overcome these drawbacks through the application of patterning processes at room temperature and atmospheric pressure. Nanocrystal-based ink is used to adjust properties efficiently. Additionally, the viscosity and surface tension of the solvents are investigated and optimized to increase patterning performance. In the patterning process, the electrical, electrothermal, and electromechanical properties of the nanocrystal pattern are controlled by the ligand exchange process. Experimental results demonstrate that a multi-sensor with a temperature coefficient of resistance of 3.82 × 10-3 K-1 and gauge factor of 30.6 can be successfully fabricated using one-step inkjet printing.

Proposal Self-Assessment System of AI Experience Way Education

  • Lee, Kibbm;Moon, Seok-Jae;Lee, Jong-Yong
    • International Journal of Advanced Culture Technology
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    • v.9 no.4
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    • pp.274-281
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    • 2021
  • In the field of artificial intelligence education, discussions on the direction of artificial intelligence education are actively underway, and it is necessary to establish a foundation for future information education. It is necessary to design a creative convergence teaching-learning and evaluation method. Although AI experience coding education has been applied, the evaluation stage is insufficient. In this paper, we propose an evaluation system that can verify the validity of the proposed education model to find a way to supplement the existing learning module. The core components of this proposed system are Assessment-Factor, Self-Diagnosis, Item Bank, and Evaluation Result modules, which are designed to enable system access according to the roles of administrator, instructors and learners. This system enables individualized learning through online and offline connection.

A Study on the Verification of Traffic Flow and Traffic Accident Cognitive Function for Road Traffic Situation Cognitive System

  • Am-suk, Oh
    • Journal of information and communication convergence engineering
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    • v.20 no.4
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    • pp.273-279
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    • 2022
  • Owing to the need to establish a cooperative-intelligent transport system (C-ITS) environment in the transportation sector locally and abroad, various research and development efforts such as high-tech road infrastructure, connection technology between road components, and traffic information systems are currently underway. However, the current central control center-oriented information collection and provision service structure and the insufficient road infrastructure limit the realization of the C-ITS, which requires a diversity of traffic information, real-time data, advanced traffic safety management, and transportation convenience services. In this study, a network construction method based on the existing received signal strength indicator (RSSI) selected as a comparison target, and the experimental target and the proposed intelligent edge network compared and analyzed. The result of the analysis showed that the data transmission rate in the intelligent edge network was 97.48%, the data transmission time was 215 ms, and the recovery time of network failure was 49,983 ms.

Electrolyte-gated Transistors for the Next-generation Smart Electronics (차세대 스마트 전자를 위한 전기화학 트랜지스터)

  • Kwon, Hyeok-jin;Kim, Se Hyun
    • Prospectives of Industrial Chemistry
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    • v.23 no.2
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    • pp.1-11
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    • 2020
  • In this report, we summarize recent progress in the development of electrolyte-gated transistors (EGTs) for various printed electronics. EGTs, employing a high capacitance electrolyte as gate dielectric layer in transistors, exhibits increasing of drive current, lowering operation voltage, and new transistor architectures. While the use of electrolytes in electronics goes back to the early days of silicon transistors, the new printable, fast-responsive polymer electrolytes are expanding their range of applications from printable and flexible digital circuits to various neuromorphic devices. This report introduces the structure and operating mechanism of EGT and reviews key developments in electrolyte materials used in printed electronics. Additionally, we will look at various applications with EGTs that are currently underway.

History and current status of vinegar industry development (식초 산업의 발전사와 최근 현황)

  • Kim, Hyeon-Wee
    • Food Science and Industry
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    • v.55 no.1
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    • pp.74-94
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    • 2022
  • With the discovery of metabolic mechanisms of alcohol fermentation and acetic acid fermentation in the 1800s and 1900s, the history of traditional vinegar became a turning point for changing to the history of science and technology. Since then, innovation in vinegar production has occurred, and the era of full-scale mass industrialization has opened. The most modern method, submerged fermentation, has improved the vinegar production process to produce much higher quality vinegar and provide vinegar with high productivity and quality uniformity. Innovative research for vinegar production is underway as various approaches have been developed to increase fermentation efficiency, reduce costs, and shorten fermentation time due to the trend of combining existing technologies and advanced technologies. Now that the development of the vinegar industry is currently focused on vinegar engineering, multidisciplinary approaches in various fields such as microbiology, chemistry, food technology, process engineering, and molecular biology are needed.

Processing Alarms in DYNAS: Basic Strategy

  • I. K. Hwang;Kim, J. T.;Lee, D. Y.;N. J. Na;S. J. Song;Park, J. C.;K. C. Kwon;C. S. Ham
    • Proceedings of the Korean Nuclear Society Conference
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    • 1995.10a
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    • pp.147-152
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    • 1995
  • During transients or major upsets, operators of a nuclear power plant are faced with a significant amount of information which oftentimes exceeds their capability of processing information in such a time-critical situation. To help resolve this problem of information overload, considerable work is underway worldwide to improve its man-machine interface systems (MMISs). The I&C research team of KAERI is developing a DYNamic Alarm processing System, called DYNAS, to suppress unnecessary or nuisance alarms, and at the same time, emphasize vital information. This paper describes our basic strategy to process alarms in DYNAS.

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Inductances of a Superconducting Magnet for Cyclotron K120

  • Tang, H.M.;Kim, D.L.;Choi, Y.S.;Lee, B.S.;Yang, H.S.;Kim, Y.S.
    • Progress in Superconductivity and Cryogenics
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    • v.10 no.4
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    • pp.29-32
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    • 2008
  • The design of a superconducting magnet system producing very high magnetic field is underway at Korea Basic Science Institute (KBSI) to accelerate three kinds of carbon irons (C+2, C+4, C+6) to 120 MeV. A quarter-scaled prototype will be manufactured in order to confirm the feasibility of our design. Magnet Inductances in the system have a great influence on the current ramping rates and contribute to the stored energy, which are usually considered to be unfavorable in magnet operation. The modeling and simulation scheme of a prototype superconducting magnet for the cyclotron K120 is described in this paper. The inductances are calculated by a numerical method with and without iron yokes, respectively. These calculation results will be used as engineering design details such as a current ramping rate and a quench protection design.

Performance Comparison of HTTP, HTTPS, and MQTT for IoT Applications

  • Sukjun Hong;Jinkyu Kang;Soonchul Kwon
    • International journal of advanced smart convergence
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    • v.12 no.1
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    • pp.9-17
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    • 2023
  • Recently, IoT technology has been widely used in many industries. Also research on integrating IoT technology with IoT sensors is actively underway. One of the important challenges in IoT is to support low-latency communication. With the development of communication networks and protocols, a variety of protocols are being used, and their performance is improving. In this paper, we compare the performance and analyze the characteristics of some of the major communication protocols in IoT application, namely MQTT, HTTP, and HTTPS. IoT sensors acquired data by connecting an Arduino equipped with ESP8266 and a temperature and humidity sensor (DHT11). The server measured the performance by building servers for each protocol using AWS EC2. We analyzed the packets transmitted between the Arduino and the server during the data transmission. We measured the amount of data and transfer time. The measurement results showed that MQTT had the lowest data transmission time and data amount among the three protocols.

Analysis of Influencing Factors on Asbestos Demolitions Using a Text Mining Method (텍스트 마이닝 기법을 활용한 석면해체·제거작업 영향 요인 분석)

  • Lee, Jae-Woo;Kim, Do-Hyun;Kim, Yu-Jin;Noh, Jae-Yun;Han, Seungwoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.04a
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    • pp.39-40
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    • 2022
  • The use of asbestos has been completely prohibited in Korea since 2015. Therefore, nationally, the asbestos demolitions in the building are actively underway. In the process of demolishing asbestos, scattering dust occurs, which poses a risk to human body. These dusts causes fatal disease, and especially there is an increasing concern of safety about construction workers and building users. Until this day, however, only few researches have been conducted on asbestos demolishing process. Accordingly, it is necessary to analyze key factors and to develop a safety prediction model for workers. This study is an early stage of building quantified DB, and aims to actualize the safety problems of asbestos demolishing process using text mining method.

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