• Title/Summary/Keyword: energy space

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Determination of Spectrum-Exposure Rate Conversion Factor for a Portable High Purity Germanium Detector (휴대형 고순도 게르마늄검출기에 대한 스펙트럼-조사선량율 변환연산자의 결정)

  • Kwak, Sang-Soo;Park, Chong-Mook;Ro, Seung-Gy
    • Journal of Radiation Protection and Research
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    • v.13 no.2
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    • pp.29-40
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    • 1988
  • A spectrum-exposure rate conversion operator G(E) for a portable HPGe detector used for field environmental radiation survey was theoretically developed on the basis of a space distribution function of gamma flux emitted from a disk source and an areal efficiency of the detector. The radiation exposure rates measured using this G(E) and the portable HPGe. detector connected to a portable multichannel analyzer were compared with those measured by a 3' ${\phi}\;{\times}$3' NaI(Tl) scintillation detector with the reported G(E) and a pressurized ionization chamber. A comparison of the three results showed that the result obtained using the HPGe detector was lower than those determined using the NaI(Tl) detector and ionization chamber by 17% to 29%, The difference obtained is close to that reported in literature. The method developed here can be easily applicable to obtain a G(E) factor suitable to any detector for detecting the exposure rate of environmental gamma radiation, since the spectrum-exposure rate conversion operator can be calculated by a hand calculator.

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Evaluation on Reduction Effect about Noise of Hydraulic Turbine Dynamo in Dam using Auralization (가청화를 이용한 댐 수차 발전기소음의 저감효과 평가)

  • Soul, Soo-Hwan;Ju, Duck-Hoon;Kim, Jae-Soo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.20 no.6
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    • pp.400-408
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    • 2008
  • Multipurpose Dam, it produces electric energy by converting the potential energy into kinetic energy utilizing its head and quantity of the water. However, in this process, since during the time when the turbine connected to the hydraulic turbine generator revolves, there occurs a ceaseless loud noise, and due to this condition, it is true state that those people who work at inside of the power plant are damaging as hard as they are unable to concentrate on their work. Not only this, because the hydro-electric power generator room that locates at middle section between the hydraulic turbine room and the office is very large space volume, also since it was constructed chiefly by the reflecting material, it is functioning of amplify the noise when operating the generator, the soundproof measure against this condition is necessitated. On such viewpoint, I have presented the problem point of the relevant Hydraulic turbine dynamo and Hydraulic turbine dynamo room, and after improve such problem point, this study has ever investigated the satisfying degree about the noise-reduction at before and after of the improvement of soundproof measure, using the Auralizational technique that can experience virtual acoustic field. It is considering that such result could be utilized usefully as the fundamental material hereafter for the acoustic performance of the hydro-electric power generator room in dam and when its construction.

Case Analysis for Introduction of Machine Learning Technology to the Mining Industry (머신러닝 기술의 광업 분야 도입을 위한 활용사례 분석)

  • Lee, Chaeyoung;Kim, Sung-Min;Choi, Yosoon
    • Tunnel and Underground Space
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    • v.29 no.1
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    • pp.1-11
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    • 2019
  • This study investigated use cases of machine learning technology in domestic medical, manufacturing, finance, automobile, urban sectors and those in overseas mining industry. Through a literature survey, it was found that the machine learning technology has been widely utilized for developing medical image information system, real-time monitoring and fault diagnosis system, security level of information system, autonomous vehicle and integrated city management system. Until now, the use cases have not found in the domestic mining industry, however, several overseas projects have found that introduce the machine learning technology to the mining industry for improving the productivity and safety of mineral exploration or mine development. In the future, the introduction of the machine learning technology to the mining industry is expected to spread gradually.

A Conceptual Study for Deep Borehole Disposal of High Level Radioactive Waste in Korea (국내 고준위 방사성 폐기물 심부시추공 처분을 위한 개념 연구)

  • Jeon, Byungkyu;Choi, Seungbeom;Lee, Sudeuk;Jeon, Seokwon
    • Tunnel and Underground Space
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    • v.29 no.2
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    • pp.75-88
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    • 2019
  • With Kori nuclear power plant unit 1 as a beginning in April 1978, 24 nuclear power plants have been operated in Korea and two more plants are under construction. As the nuclear power plants being operated, radioactive wastes from the plants have been accumulated so that various methods for disposing them have been proposed. In Korea, researches have been conducted, being focused on DGD (Deep Geological Disposal), however, DBD (Deep Borehole Disposal) method needs considering as an alternative. In this technical note, element technologies for DBD were analyzed by compiling previous researches and their applicability on domestic cases were investigated. Conceptual studies regarding relevant designs were conducted and finally, technical challenges for actual disposal were described.

Development of a Smartphone Application to Investigate Unsurfaced Road Conditions in Mines (광산 비포장도로 상태 조사를 위한 스마트폰 애플리케이션 개발)

  • Choi, Yosoon;Kim, Hunmu;Suh, Jangwon
    • Tunnel and Underground Space
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    • v.28 no.6
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    • pp.555-568
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    • 2018
  • To perform efficient and safe haulage operations in mines, the condition of unsurfaced roads where dump trucks are moving should be regularly investigated, and systematic maintenance should be carried out according to the results. In this study, we developed a smartphone application that can be used to periodically investigate the unsurfaced road conditions in mines. Using the developed application, necessary data can be easily collected on site to evaluate the condition of unsurfaced roads according to the Unsurfaced Road Condition Index (URCI) evaluation system presented by the US Army Corps of Engineers. The smartphone application was tested at several sections of unsurfaced road in the Ilkwang mine, Busan, Korea. The results showed that the field investigation about 7 factors considered in the URCI evaluation system can be conducted through the user interface screen, and the URCI value can be calculated in the field to evaluate the condition of unsurfaced road. The smartphone application developed in this study can be useful for surveying and evaluating the unsurfaced road conditions at the mine site.

A Study on the Application of Real-time Environment Monitoring System in Underground Mines using Zigbee Technology (지그비 기술을 이용한 지하광산 내 실시간 환경 모니터링 시스템 현장 적용 연구)

  • Park, Yo Han;Lee, Hak Kyung;Seo, Man Keun;Kim, Jin
    • Tunnel and Underground Space
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    • v.29 no.2
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    • pp.108-123
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    • 2019
  • In recent years, as safety management in underground mines has become more important in the worldwide, mine safety management technologies combining information communication technology such as real-time worker position tracking, monitoring system and equipment remote control have been developed. Wireless communication system is mainly applied to these technologies for the flexibility of network configuration. There are some cases the monitoring system was installed in domestic underground mines, but, it is necessary to develop the technology more suitable for domestic mining standard. In this study, we developed the real-time environmental monitoring system using ZigBee technology and examined the result of application to domestic limestone mine. Furthermore, applicability of the developed environment monitoring system to $VentSim^{TM}$ LiveView was checked. This study is expected to contribute to the related studies like the optimization of the ventilation system in underground mines.

An Offloading Scheduling Strategy with Minimized Power Overhead for Internet of Vehicles Based on Mobile Edge Computing

  • He, Bo;Li, Tianzhang
    • Journal of Information Processing Systems
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    • v.17 no.3
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    • pp.489-504
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    • 2021
  • By distributing computing tasks among devices at the edge of networks, edge computing uses virtualization, distributed computing and parallel computing technologies to enable users dynamically obtain computing power, storage space and other services as needed. Applying edge computing architectures to Internet of Vehicles can effectively alleviate the contradiction among the large amount of computing, low delayed vehicle applications, and the limited and uneven resource distribution of vehicles. In this paper, a predictive offloading strategy based on the MEC load state is proposed, which not only considers reducing the delay of calculation results by the RSU multi-hop backhaul, but also reduces the queuing time of tasks at MEC servers. Firstly, the delay factor and the energy consumption factor are introduced according to the characteristics of tasks, and the cost of local execution and offloading to MEC servers for execution are defined. Then, from the perspective of vehicles, the delay preference factor and the energy consumption preference factor are introduced to define the cost of executing a computing task for another computing task. Furthermore, a mathematical optimization model for minimizing the power overhead is constructed with the constraints of time delay and power consumption. Additionally, the simulated annealing algorithm is utilized to solve the optimization model. The simulation results show that this strategy can effectively reduce the system power consumption by shortening the task execution delay. Finally, we can choose whether to offload computing tasks to MEC server for execution according to the size of two costs. This strategy not only meets the requirements of time delay and energy consumption, but also ensures the lowest cost.

A Study on the Public Housing Model for Residents' Participation suitable for Smart City (스마트시티에 적합한 주민참여형 공공주택 모델에 관한 연구)

  • Heo, Hak-Soo;Ryu, Gab-Sang
    • Journal of Internet of Things and Convergence
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    • v.7 no.2
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    • pp.1-6
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    • 2021
  • In recent years, many people are living in a space limited by rapid global industrial development and economic growth, and rapid urbanization is underway, with the global urban population estimated to be more than 70 percent in 2050. Due to rapid urbanization, government-led smart city models are being developed and introduced to solve various urban problems such as disaster safety, air pollution, water pollution, energy shortage, disease, crime and transportation. However, since ICT technology of public housing is being developed as a type of social overhead capital project, it is necessary to develop micro-smart city projects that residents can feel by developing services such as public safety, living environment, living welfare, and energy management for public housing residents. Therefore, in this paper, the smart platform model of public housing for smart city in the era of the Fourth Industrial Revolution is planned and presented.

Case Studies on Fluid Extraction Induced Seismicity (유체 생산에 따른 유발지진 사례 분석)

  • Seo, Eunjin;Yoo, Hwajung;Min, Ki-Bok;Yoon, Jeoung Seok
    • Tunnel and Underground Space
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    • v.31 no.6
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    • pp.385-399
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    • 2021
  • Among human-induced seismicity, fluid production has been one of the causes. In this report, the mechanism that causes an earthquake due to a decrease in the fluid pressure inside the reservoir during fluid extraction is summarized. As case studies, the Lacq gas field in France, the Cerro Prieto geothermal field in Mexico, and the Groningen gas field in the Netherlands, which have become issue recently, were introduced. It is showed that fluid production, ground subsidence, and the presence of existing faults were closely related with the induced seismicity. Therefore, for the development of oil or gas field and geothermal field, it is important to investigate the presence of faults that may cause earthquakes in the reservoir, to monitor ground subsidence during production in real time, and to control production.

Elucidating the Optoelectronic Properties of Metal Halide Perovskites (페로브스카이트 소재의 광전자 특성 분석)

  • Lee, Wonjong;Choi, Hajeong;Lim, Jongchul
    • Prospectives of Industrial Chemistry
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    • v.24 no.5
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    • pp.1-14
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    • 2021
  • 유무기 하이브리드 금속-할라이드계 페로브스카이트(organic-inorganic metal halide perovskite) 페로브스카이트 반도체 소재는 광전자 소자와 소재 연구에 새로운 연구 흐름을 만들고 있다. 태양전지 성능이 불과 과거 몇 년 사이의 짧은 연구 기간에도 불구하고, 광-전 변환 소자 중에서도 단일 소자와 적층 소자(tandem)에서 높은 광-전 변환 효율을 나타내기 때문이다. 이러한 급격한 연구 성과와 성장에도 불구하고, 페로브스카이트 소재의 다양한 광전자 특성의 평가와 결과에 대한 논의가 필요한 상황이다. 특히 내부 이온 이동이 광전자 원거리 이동 특성 평가와 해석에 영향을 주는 경우, 페로브스카이트 소재를 기반으로 한 다양한 광전자 소자의 성능 향상과 해석에 여전히 모호함을 준다. 달리 얘기하면, 이 소재의 기초 특성을 이해하고자 적용하는 다양한 기존 특성 평가 분석법의 활용과 해석에도 복잡한 영향을 미치고 있다고 할 수 있다. 이러한 페로브스카이트 소재 내에서 광전자 원거리 이동을 측정하는 새로운 방법을 소개하고자 한다. 첫 번째 방법으로, Quasi-steady 상태에서 광전도도를 전기적 특성으로 측정하고, 광조사 하에 투과 및 반사를 광학적으로 측정하여, 전도도와 광전자 밀도를 동시에 평가하는 방법으로, photo-induced transmission and reflection (PITR) 분광분석법이다. 이 분광분석법은 실제 소자의 구동조건을 구현한 상태에서 광전자의 원거리 이동에서 발생하는 광전자 밀도 변화를 반영한 광전자 이동도 특성 평가라는 장점을 가지고 있다. 두 번째 방법으로, 기존의 연속 전압 인가 방법 대신 펄스형 전압 인가 방식을 도입하는 방법으로, pulsed voltage space charge limited current (PV-SCLC) 분석법이다. 이는 펄스형 전압 인가 방법으로 이온의 이동을 최소화하여, 전류-전압 측정에서 히스테리시스가 없고 측정결과의 재현성과 신뢰도가 매우 높은 장점이 있다.