• Title/Summary/Keyword: Information based Industry

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Application of Species Distribution Model for Predicting Areas at Risk of Highly Pathogenic Avian Influenza in the Republic of Korea (종 분포 모형을 이용한 국내 고병원성 조류인플루엔자 발생 위험지역 추정)

  • Kim, Euttm;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.36 no.1
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    • pp.23-29
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    • 2019
  • While research findings suggest that the highly pathogenic avian influenza (HPAI) is the leading cause of economic loss in Korean poultry industry with an estimated cumulative impact of $909 million since 2003, identifying the environmental and anthropogenic risk factors involved remains a challenge. The objective of this study was to identify areas at high risk for potential HPAI outbreaks according to the likelihood of HPAI virus detection in wild birds. This study integrates spatial information regarding HPAI surveillance with relevant demographic and environmental factors collected between 2003 and 2018. The Maximum Entropy (Maxent) species distribution modeling with presence-only data was used to model the spatial risk of HPAI virus. We used historical data on HPAI occurrence in wild birds during the period 2003-2018, collected by the National Quarantine Inspection Agency of Korea. The database contains a total of 1,065 HPAI cases (farms) tied to 168 unique locations for wild birds. Among the environmental variables, the most effective predictors of the potential distribution of HPAI in wild birds were (in order of importance) altitude, number of HPAI outbreaks at farm-level, daily amount of manure processed and number of wild birds migrated into Korea. The area under the receiver operating characteristic curve for the 10 Maxent replicate runs of the model with twelve variables was 0.855 with a standard deviation of 0.012 which indicates that the model performance was excellent. Results revealed that geographic area at risk of HPAI is heterogeneously distributed throughout the country with higher likelihood in the west and coastal areas. The results may help biosecurity authority to design risk-based surveillance and implementation of control interventions optimized for the areas at highest risk of HPAI outbreak potentials.

The Comparison of Pattern Method Function between Apparel CAD Systems - Focusing on Skirt Waistband and Sleeve Armhole line Generation Process - (어패럴 패턴캐드 간 패턴 제도 기능 비교 - 스커트 곡선 허리밴드와 소매 진동곡선 생성 과정을 중심으로 -)

  • Kim, Na Rae;Han, Hyun Sook
    • Fashion & Textile Research Journal
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    • v.20 no.6
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    • pp.690-703
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    • 2018
  • The purpose of this study is to help user understand the basic principles and interfaces of each program, and to provide a base material for the development of more efficient apparel CAD systems to compensate for each program's shortcomings by comparing the function of three apparel CAD systems: Yuka CAD, Opti-tex, and Style CAD. For this purpose, the skirt waistband and sleeve armhole line creation process were selected based on these two criteria. 1) There is a big difference between principle and method between CAD systems. 2) When CAD system is used rather than paper drawing process, the process is shortened and convenience is high. In this study, pros and cons and supplement point of each CAD system are suggested by comparing the functions of the CAD system performing the selected drafting process by four criteria: icon, key, method, and characteristic point. As a result of the study, it was confirmed that the three CAD systems differ in the basic principle and interface environment. As a result of analyzing the skirt waistband method function, it was confirmed that the band line is formed directly on the outline of the skirt and the band dart recognition function is the most efficient function and as a result of the analyzing the sleeve armhole line method function, it was confirmed that the curve generation function using the shape of the actual curve measure and the length adjustment function through the automation of the dimension calculation is the most efficient function.

Determination of Cage Size in Case of Non-Standard Well Size in Lift Industry (승강기 산업의 비표준 승강로에 대응하는 승강기 크기 결정 방법 연구)

  • Ko, Young-joon;Kim, Byoung-ik;Han, Kwan Hee
    • Journal of Convergence for Information Technology
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    • v.9 no.2
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    • pp.85-93
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    • 2019
  • There is currently no recognized standard for the size of lifts. Each elevator manufacturer sets the maximum allowable floor area that meets the capacity calculation standard of the elevator using the maximum used car floor area, which is defined by EN-CODE and the domestic inspection standard, and determines the elevator size based on their own standards. In this paper, we propose a method to more easily determine the elevator size. To do this, we implemented a program that calculates the size of the elevator by inputting the dimensions of the hoistway. This program will be useful method for quick decision making and elevator installation considering the elevator factors according to the already determined hoistway size of the building and calculating the EN-CODE currently used and the size of the elevator according to domestic inspection standards.

Determinants Influencing Users' Genre Repertoires in Personal Web-Casting: A Case of (인터넷 개인 방송 장르 레퍼토리 형성 영향 요인: <아프리카 TV> 사례를 중심으로)

  • Lee, Sungjoon
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.13-29
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    • 2018
  • An increasing number of people in their lifes have used personal web-casting services as a new type of broadcasting, whose power has grown in the broadcasting market and industry. Nevertheless, limited research concerning personal web-casting has been conducted so far. This research explored consumption structures of personal web-casting users in terms of their genre usage based on the theoretical concept of genre repertoire. And it also examined what determinants have influences on these structures by focusing on as an representative case in South Korea. The findings showed that sensation seeking, motivation for getting information and social presence affect genre repertoire of personal web-casting users. They also indicated that there is a moderating effect of social presence in the relationship between motivation for joy and genre repertoire.

Whitening Activity of Abeliophyllum distichum Nakai Leaves According to the Ratio of Prethanol A in the Extracts

  • Jang, Tae-Won;Choi, Ji-Soo;Kim, Hoi-Ki;Lee, Eun-Ja;Han, Man-Wook;Lee, Ki-Beom;Kim, Do-Wan;Park, Jae-Ho
    • Korean Journal of Plant Resources
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    • v.31 no.6
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    • pp.667-674
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    • 2018
  • In this study, we evaluated the whitening activity of prethanol A and water extracts from Abeliophyllum distichum Nakai. The extracts were prepared using 0, 50, 70, and 100% prethanol A at $121^{\circ}C$, 1.2 atm for 15 minutes. To confirm effective extraction, the acteoside content of each extract was analyzed with the HPLC-PDA method. The antioxidant activity was evaluated using DPPH and ABTS scavenging activity assays, and the whitening activity was evaluated based on inhibitory activities on the protein and mRNA expression of tyrosinase, tyrosinase-related protein 1 (TRP-1), tyrosinase-related protein 2 (TRP-2), and microphthalmia-associated transcription factor (MITF) in B16 F10 cells. Each extract showed strong antioxidant and whitening activity. $IC_{50}$ values of antioxidant activity from each extract were in order of 100%, 70%, 50%, and 0%. In addition, whitening activity inhibited the protein and mRNA expression of melanin synthesis factor, following the same pattern as antioxidant activity. In conclusion, water and prethanol A extracts of A. distichum showed effective antioxidant and whitening activity and are thus considered to be valuable materials for whitening cosmetics. The results of this study will also provide basic data for the safe and efficient production of A. distichum as a cosmetic material.

An Analysis on Economic Effects of Smart Sewage Pipe (스마트 하수도 구축의 경제적 파급효과 분석)

  • Kim, Sung Tai;Lim, Byung In;Oh, Hyun-Taek;Park, Kyoo-Hong
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.78-84
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    • 2019
  • The purpose of this study is to introduce the concept of the Smart Sewer System and to analyze the economic ripple effect when smart sewer is built all over Korea. The research method is the input-output model based on the assumption that the smart sewerage will be constructed throughout the Korea from 2021 to 2040. Estimation results show that the production-induced effect reaches 343.73 trillion Korean won, the added value-induced effect is 155.867 trillion Korean won, and the employment-induced effect is estimated by 25,118,470, indicating that the smart sewer project leads to being considerably large in the nation-wide economy. In addition, the increase of social welfare by smart sewer is expected to be realized through the improvement of both the environment improvement and the national health. Therefore, the smart sewer project should be implemented without delay by planning a concrete road map and putting it into effect with a budget.

Development of a safety accident prevention system for construction equipment utilizing IoT and RTLS technology (사물인터넷과 실시간 위치추적 기술을 활용한 건설 장비의 안전 사고 방지 시스템 개발)

  • Ryu, Han Guk;Kim, Tae Wan
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.179-186
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    • 2019
  • Identifying potential accidents at construction sites is a major concern for the construction industry, and, according to the Korea Occupational Safety and Health Agency, the death rate of safety accidents caused by construction equipment is particularly high at 19.8% as of 2016. Although Internet of Things (IoT) has not been applied widely in construction sites, it can build an operating system that feeds accurate and useful information to construction accident management for identifying potential accidents. In this context, this study proposes an IoT- and RTLS-based construction equipment safety accident prevention system, which can be useful for preventing and managing safety accidents caused by construction equipment. Future deployment of such system would contribute not only to the safety of workers but also to efficient equipment and manpower operation.

Error Calibration of Initial Value of Weight Measuring Sensors with Different Feature of Forklift (특성이 다른 지게차 적재 중량 센서의 초기 값 오차 보정)

  • Han, Chi-moon;Yim, Choon-Sik;Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.23 no.2
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    • pp.214-220
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    • 2019
  • The calibration method of the initial value error obtained in the weight measurement through anchor bolt type strain gauge sensor is proposed. The strain gauge sensor is developed for preventing the overturning of forklift, which is the most frequent type of safety-accident in industry. It was confirmed that the initial value error is caused from the physical and mechanical error of anchor bolt, and the environmental problem. Since the elimination of these causes falls outside the realm of this research, we find out the calibrated values based on all the causes, and we adjust the initial values of analog-to-digital convertor (ADC) module consisted of strain gauge sensor block using the calibrated values. We use the linear interpolation method for our calibration. We confirm that four sensor modules have the different under 5% between the real weight and the measured value in the experiment applied with the calibration of initial values. The low correlation between the real weights and ADC values is also improved through the proposed calibration.

Automatic Recognition of Symbol Objects in P&IDs using Artificial Intelligence (인공지능 기반 플랜트 도면 내 심볼 객체 자동화 검출)

  • Shin, Ho-Jin;Jeon, Eun-Mi;Kwon, Do-kyung;Kwon, Jun-Seok;Lee, Chul-Jin
    • Plant Journal
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    • v.17 no.3
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    • pp.37-41
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    • 2021
  • P&ID((Piping and Instrument Diagram) is a key drawing in the engineering industry because it contains information about the units and instrumentation of the plant. Until now, simple repetitive tasks like listing symbols in P&ID drawings have been done manually, consuming lots of time and manpower. Currently, a deep learning model based on CNN(Convolutional Neural Network) is studied for drawing object detection, but the detection time is about 30 minutes and the accuracy is about 90%, indicating performance that is not sufficient to be implemented in the real word. In this study, the detection of symbols in a drawing is performed using 1-stage object detection algorithms that process both region proposal and detection. Specifically, build the training data using the image labeling tool, and show the results of recognizing the symbol in the drawing which are trained in the deep learning model.

Comparison and Analysis of FPS Mobile Game Interaction Design (FPS타입모바일게임의 인터랙션 디자인 비교 분석에 관한 연구)

  • Wang, Shi-Yu;Pan, Young-Hwan
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.31-37
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    • 2020
  • The rapid development of the mobile internet has gradually changed the carrier of electronic games from PC to mobile. mobile games have become an excellent choice for many people to spend their spare time and enjoy life. Among many types of mobile games, Number of users of FPS games has increased rapidly in recent years. Based on the 《Emotional Design》 proposed by Donald Norman, this article compares the interaction design of China's most popular FPS game 《Game for peace》 and Korea's most popular FPS game 《PUBG》, and analyzes their similarities and differences, and then use that as a basis to summarize the three levels of emotional design-Visceral level, Behavior level, and Reflection level, which is the user interface, interaction mode, and interaction experience in interaction design Emotional expression on the two games. This theory provides suggestions for interactive design in the information industry such as mobile games.