• Title/Summary/Keyword: Public address system

검색결과 203건 처리시간 0.032초

한국전쟁기 경남 함양군 전쟁 기록 연구 : 육군의 6·25 전쟁 군사기록물을 중심으로 (Research on the War Records of Hamyang-gun, Gyeongsangnam-do, during the Korean War: With a Focus on the Military Records of the Korean Army during the 6.25 War)

  • 변선영
    • 한국기록관리학회지
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    • 제23권3호
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    • pp.137-163
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    • 2023
  • 2020년 일부 연구자에 의해 특정 부분만 연구되어왔던 "6·25전쟁 군사기록물"의 디지털화가 완료되었으며 대국민 공개로 전환되어 디지털화된 자료를 누구나 이용할 수 있게 되었다. 이 기록들을 어떻게 효과적으로 활용하고 기록적 가치를 창출할 수 있을 것인지에 대한 고민을 바탕으로 주로 관리하는 국가기록원, 전쟁기념관, 육군 기록정보관리단의 관리 현황 및 활용정보를 기반으로 경남 함양이라는 특정 지역을 대상으로 문제점을 분석하고 이를 보완할 수 있는 메타데이터 요소 개발과 디지털아카이브 구축, 전쟁 기록 간 연계성 강화, 교육 및 전시 서비스와 다양한 형태의 연구자료 제공을 제안한다.

Prediction Model of Real Estate Transaction Price with the LSTM Model based on AI and Bigdata

  • Lee, Jeong-hyun;Kim, Hoo-bin;Shim, Gyo-eon
    • International Journal of Advanced Culture Technology
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    • 제10권1호
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    • pp.274-283
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    • 2022
  • Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

전자산업 공정에서 사용한 부품, 기계류 세정(cleaning) 작업 안전보건 가이드 (Development of an Occupational Safety and Health (OSH) Guide for Safely Cleaning Contaminated Machinery, Equipment, and Parts Used in the Electronics Manufacturing Process)

  • 이승희;김소연;조경이;황영우;이경희;정광재;박동욱
    • 한국산업보건학회지
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    • 제33권4호
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    • pp.419-426
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    • 2023
  • Objectives: This study aims to develop an Occupational Safety and Health (OSH) guide for the safe cleaning of contaminated machinery, equipment, and parts used in the electronics manufacturing process. Methods: A literature review, field investigations, and discussions were conducted. An initial draft of an OSH guide was developed and reviewed by experts with significant experience in maintenance work in the electronics manufacturing process in order to refine the guide. Results: Workers involved in cleaning processes with chemicals, solvents, and abrasive blasting can face exposure to a wide range of chemicals, abrasives, and noise. Identifying potential risks associated with each cleaning technique was an essential first step toward enhancing safety measures. The OSH guide comprises approximately eleven to twelve sections spanning 20-25 pages. It includes engineering and administrative protocols systematically organized to address the necessary actions before, during, and after cleaning tasks, depending on the technique. It is recommended that airline respirator masks be used in conjunction with an air purification system to ensure adherence to air quality standard "D" for atmosphere level. The use of an oil-free air compressor is advised, preferably a stationary model that does not rely on fuel sources like diesel. Conclusions: This OSH guide is designed to protect workers involved in maintenance activity in the electronics industry and aligns with global standards, such as those from the International Organization for Standardization (ISO) and Semiconductor Equipment and Material International, ensuring a higher level of safety and compliance.

설명 가능한 인공지능을 이용한 지역별 출산율 차이 요인 분석 (Analysis of Regional Fertility Gap Factors Using Explainable Artificial Intelligence)

  • 이동우;김미경;윤정윤;류동원;송재욱
    • 산업경영시스템학회지
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    • 제47권1호
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    • pp.41-50
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    • 2024
  • Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

Edge Computing Model based on Federated Learning for COVID-19 Clinical Outcome Prediction in the 5G Era

  • Ruochen Huang;Zhiyuan Wei;Wei Feng;Yong Li;Changwei Zhang;Chen Qiu;Mingkai Chen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제18권4호
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    • pp.826-842
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    • 2024
  • As 5G and AI continue to develop, there has been a significant surge in the healthcare industry. The COVID-19 pandemic has posed immense challenges to the global health system. This study proposes an FL-supported edge computing model based on federated learning (FL) for predicting clinical outcomes of COVID-19 patients during hospitalization. The model aims to address the challenges posed by the pandemic, such as the need for sophisticated predictive models, privacy concerns, and the non-IID nature of COVID-19 data. The model utilizes the FATE framework, known for its privacy-preserving technologies, to enhance predictive precision while ensuring data privacy and effectively managing data heterogeneity. The model's ability to generalize across diverse datasets and its adaptability in real-world clinical settings are highlighted by the use of SHAP values, which streamline the training process by identifying influential features, thus reducing computational overhead without compromising predictive precision. The study demonstrates that the proposed model achieves comparable precision to specific machine learning models when dataset sizes are identical and surpasses traditional models when larger training data volumes are employed. The model's performance is further improved when trained on datasets from diverse nodes, leading to superior generalization and overall performance, especially in scenarios with insufficient node features. The integration of FL with edge computing contributes significantly to the reliable prediction of COVID-19 patient outcomes with greater privacy. The research contributes to healthcare technology by providing a practical solution for early intervention and personalized treatment plans, leading to improved patient outcomes and efficient resource allocation during public health crises.

Changes in Adolescent Health Behavior and the Exacerbation of Economic Hardship During the COVID-19 Pandemic: A Cross-sectional Study From the Korea Youth Risk Behavior Survey

  • Chaeeun Kim;Haeun Lee;Kyunghee Jung-Choi;Hyesook Park
    • Journal of Preventive Medicine and Public Health
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    • 제57권1호
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    • pp.18-27
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    • 2024
  • Objectives: This study investigated the association between exacerbated economic hardship during the coronavirus disease 2019 (COVID-19) pandemic and changes in the health behaviors of Korean adolescents. Methods: We analyzed data from the 2021 Korea Youth Risk Behavior Survey and included 44 908 students (22 823 boys and 22 085 girls) as study subjects. The dependent variables included changes in health behaviors (breakfast habits, physical activity, and alcohol use) that occurred during the COVID-19 pandemic. The aggravation of economic hardship by COVID-19 and the subjective economic status of the family were used as exposure variables. Multiple logistic regression analysis was utilized to calculate the prevalence odds ratios (PORs). Results: Severe exacerbation of a family's economic hardship due to COVID-19 was negatively associated with the health behaviors of adolescents, including increased breakfast skipping (POR, 1.85; 95% confidence interval [CI], 1.55 to 2.21 for boys and POR, 1.56; 95% CI, 1.27 to 1.92 for girls) and decreased physical activity (POR, 1.37; 95% CI, 1.19 to 1.57 for boys and POR, 1.38; 95% CI, 1.19 to 1.60 for girls). These negative changes in health behaviors were further amplified when combined with a low subjective family economic status. Conclusions: The experience of worsening household hardship can lead to negative changes in health behavior among adolescents. It is crucial to implement measures that address the economic challenges that arise from stressful events such as COVID-19 and to strive to improve the lifestyles of adolescents under such circumstances.

3D 깊이 카메라를 활용한 직관적인 사물인터넷 인터페이스 시스템에 관한 연구 (A Study on Intuitive IoT Interface System using 3D Depth Camera)

  • 박종섭;홍준석;김우주
    • 한국전자거래학회지
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    • 제22권2호
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    • pp.137-152
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    • 2017
  • 정보통신 기기들의 가격하락과 인터넷의 발전은 사물인터넷이라는 새로운 분야를 탄생시켰다. 일상에 접하는 모든 사물들이 인터넷으로 연결되어 새로운 서비스를 창출하는 사물인터넷은 빅데이터와 결합되어 기존에 볼 수 없었던 새로운 형태의 비즈니스 영역을 개척해 나가고 있다. 이에 사물인터넷의 전망은 그 활용도에 있어서 무궁무진 하다고 말할 수 있다. 또한 이러한 사물인터넷 장비들의 원활한 연결을 위한 표준화 기관들의 연구도 활발한 편이다. 그러나 이러한 연구 중에 우리가 간과하는 부분이 있다. 사물인터넷 장비를 제어하거나 정보를 획득하기 위해서 장비와의 연동문제(IP주소, Wi-Fi, Bluetooth, NFC 등) 및 관련 애플리케이션 소프트웨어 또는 앱을 별도로 개발을 해야 한다. 이러한 문제를 해결하기 위해 기존의 연구방식들은 GPS 또는 마커를 이용한 증강현실 연구가 이루어져 왔다. 하지만 별도의 마커가 필요하고 마커의 경우 가까운 곳만 인식하는 단점을 갖는다. 또한 2D 기반의 카메라의 활용한 GPS 주소 활용한 연구의 경우 대상 장비와의 거리 인식을 할 수 없어 능동적인 인터페이스 구현의 어려움이 있었다. 이러한 문제를 해결하기 위해서는 기존의 복잡한 방법이 아니라 사용자가 눈으로 확인하고 간단한 조작만으로 장비와의 연동이 가능한 직관적인 방법이 반드시 필요하다. 본 연구는 향후 스마트폰에 탑재될 3D 깊이 인식카메라를 활용해서 별도의 마커 없이 거리측정 및 핸드폰의 센서정보를 연동해서 자동으로 공간 좌표를 계산하여 사물인터넷의 장비를 발견하고 해당 사물인터넷 장비의 정보 획득 및 제어가 가능한 방법론을 제안한다. 결과로 사용자 관점에서 별도의 사물인터넷 장비 연동문제 및 앱 설치에 대한 부담을 줄일 수 있다. 나아가 이 기술이 공공서비스와 스마트 안경분야에 활용된다면 공공 서비스 증대 및 많은 소프트웨어 개발의 중복 투자를 줄이게 될 것이다.

농촌지역의 법정-기간내 출생신고율과 신고된 생년월일의 정확도 (Birth Registration Rate and Accuracy of Reported Birth Date in Rural Area)

  • 박정한;이창익;김장락;송정흡;예민해;조성억
    • Journal of Preventive Medicine and Public Health
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    • 제21권1호
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    • pp.70-81
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    • 1988
  • 우리 나라의 최근 농촌 지역에서의 출생 신고의 법정 기간내 신고율과 출생 신고의 정확도를 알아보기 위해 경북 군위군에 거주하는 모든 유배우 가임 여성 4,014명을 1985년 4월 1일부터 1987년 3월 31일까지 2년간 면보건요원들이 추적 조사하여 찾아낸 모든 출생아 766명의 출생일자와 1987년 9월 30일자로 면사무소의 주민 등록 대장을 열람하여 얻은 동기간내 출생한 것으로 신고된 944건의 출생 신고 기록을 대조하였다. 추적 조사한 766명중 576명(75.2%)이 출생후 6개월 이내에 신고된 것으로 확인되었으며 96명 (12.5%)은 출생신고를 하였다고 진술하였으나 기록이 없었다. 추적 조사에 등록되어 있고 생후 6개월 이내에 출생신고가 확인된 576명의 법정 신고 기간인 30일 이래 신고율은 61.3%였다. 법정 기간내 신고율은 산모의 연령이 20세 미만이거나 35세 이상인 경우, 교육 수준은 국민학교 졸업자에서 그리고 출산 순위가 늦을수록 낮았다. 출생 월별 신고율은 10월부터 3월 시아의 출생아가 4월에서 9월 사이의 농번기의 출생아에 비해 높았다. 신생아기에 사망한 7명은 모두 출생 신고를 하지 않았다. 추적 조사에 등록되어 있고 6개월 이내에 출생 신고가 확인된 576명의 실제 출생 연월일과 주민등록표의 출생 연월일의 일치율은 78.0%였고 6.8%는 실제 출생일보다 더 이른 날짜로 신고되어 있고 15.3%는 더 늦은 날짜로 신고되어 있었다. 일치율은 산모의 연령이 35세 이상인 경우에 54.5%로 그리고 출산 순위가 4순위 이상일 때 56.3%로 특별히 낮았다. 또 산모의 학력이 높을수록 일치율이 높았으며, 남아가 여아보다 높았다. 3월에 출생한 경우에 실제 출생일보다 이른 날짜로 신고하는 율이 17.4%로 다른 달에 비해 높았고 이들은 대부분이 음력으로 신고하였는데 이것은 취학 연령을 고려한 것으로 생각된다. 최근 우리 나라 농촌 지역의 법정 기간내 신고율 및 신고의 정화도는 향상되고 있으나 아직도 선진국에 비해 낮은 편이며 출생 신고 자료에 의한 영아 사망률은 매우 부정확한 실정이다. 법정 기간내 신고율과 신고 내용의 정확도를 높히기 위해 분만 개조를 한 의료인으로 하여금 부모의 주소지로 직접 출생 신고를 하도록 하고 비의료인에 의한 가정 분만의 경우에는 현행 신고 제도대로 하는 것이 권장된다.

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Ecological Functions and Losses of Traditional Korean Village Groves

  • Lee, D.-W.;Park, C.-R.
    • 한국제4기학회지
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    • 제18권2호통권23호
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    • pp.65-66
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    • 2004
  • There have been groves, in many cases, along with hedgerows and remnant forests around a traditional Korean village. A village grove is very closely connected to the life of residents. Sometimes it was a holy place where important village festivals were held, and became a resting place for farmers, especially in sunny summer. As a matter of fact, it is noted that traditional Korean village groves had been fostered for many purpose as religion, Confucianism, scenery, sanitation, traffic guard, public security, agriculture, hunting, and military and public uses were included in Chosun Govemor General(1938). Village groves were usually located at the outlet of watershed inside which a village was built. In addition, village groves used to be established along part of mountain ranges, streams and streets. A unique type of village grove, called bibosoop was fostered especially where the outlet of watershed was largely opened. In other cases, it was placed where a part of mountain range was relatively low, or where village residents were likely to see ugly objects such as a huge cliff, stony upland with an unvegetated area and the like(Kim and Jang 1994). In a sense, a sheltebelt is a sort of bibosoop as it is a landscape element to complement places that are exposed to strong winds. However, it is comparable to other typical bibosoop that is situated at a topographically very specific zone of watershed. In this paper, we will address potential functions of Korean village groves from a perspective of modern landscape ecology and show current status of some remnants, based on preliminary surveys. A village grove functions as barrier or filter of objects such as water, nutrients, and other elements and habitat of wildlife (park et al. 2003, Lee 2004). The village grove slows down the flow of water and air, maintains soil moisture an hinders soil erosion, enabling cultivation of crops and bringing up creatures nearby. It contributes to enhancing biodiversity. Birds rest on shrubby and woody trees of the element. Presumably, other organisms may also inhabit the village groves and take advantage of it when those move from a forest patch to others. Emerging insects acclimate themselves in the shade of the green space before they fly to sunny air. Besides the village grove acts as a component of agroforestry system as leaf litter is shed from a grove to an asjacent agricultural area, and transformed into green manure(Lee 2004). By the way, many of the landscape elements were destroyed or declined in Koea during the past several decades. The losses have been parallel or linked to environmental degradation. Unfortunately, we have a little reliable data as for how many groves have disappeared in Korea until now. There has been no complete census on the village groves in Korea, and the viewpoints of survey were to a degree different depending on surveyors. So, it is difficult to analyze the temporal and spatial change of village groves. Currently, national inventory data of Korean village groves are available in three reports. We reviewed the locations of village groves and arranged those according to the present administrative units, DONG. With the limited data, we found that at least 484 of village groves were recorded in South Korea. Among all provinces, village groves were most in Gyeongsanbuk-Do Province and least in Chungcheongbuk-Do Province(Table 1). This is a preliminary report prepared while some quantitative data regarding functions and lossers of the village groves are being collected. More detailed data will be introduced in the near future.

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접도구역 구간을 고려한 토지이동 대상필지 보상비 산정 (Calculation of Compensation to Parcels for Land Alternation Considering the Range of Adjoining Zone to Road)

  • 이근상;최명희;최연웅
    • 한국지리정보학회지
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    • 제18권2호
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    • pp.16-27
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    • 2015
  • 기존의 수작업에 의한 토지이동 대상필지 업무는 시간과 비용측면에서 매우 비효율적이며, 특히 접도구역의 구간을 고려하지 않았기 때문에 보상비 산정시 많은 어려움을 야기시켰다. 본 연구에 서는 전라북도 김제시를 대상지로 선정하였으며, 지적도와 새주소시스템의 실폭도로 레이어를 기 반으로 접도구역 구간을 고려하여 토지이동 대상필지수와 면적을 분석할 수 있었다. 또한 도로편 입률에 따른 퍼지함수를 적용한 후 토지이동 대상 필지별 개별공시지가 정보를 이용하여 접도구역 구간별로 보상비를 분석하였다. 특히 접도구역별 퍼지소속함수에 따라 공유지와 사유지의 보상비 변화를 살펴볼 수 있었다. 그리고 접도구역 구간별로 읍면동별 토지이동 대상필지에 대한 보상비를 산정함으로서 지자체의 토지이동 대상필지 우선 순위를 결정하는데 매우 유용한 자료를 제공할 수 있었다.