• 한국환경과학회지
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• 제25권3호
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• pp.439-446
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• 2016

Domestic sewerage treatment plant is operated by activated sludge method and its modified method by using microorganism. In most cases, a method of using microorganism is directly controlled by the operator based on individual judgment through factors of DO, pH and ORP. In addition, under aerobic condition in bioreactor, energy consumption including excessive air injection is learned to be somewhat plenty. In order to solve this problem, in most of the process, improvement of internal recycling and activated environmental factor of microorganism were researched extensively. However, as factors are changed depending on various conditions, it is not sufficient as an indicator of judgment. As such, a research on operation of bioreactor that measures metabolic change in short time by directly measuring activated condition of microorganism using NADH fluorometer is required in reality.It is considered that the method like this could supplement problem of energy consumption being occurred in the existing treatment method and operational optimization of bioreactor would be enabled by controlling optimal air volume. Therefore, in this study, in order to obtain optimal operational indicator of bioreactor, proper air volume control test was performed and through batch test and site evaluation, possibility of NADH sensor being utilized as operational control indicator of bioreactor is intended to be analyzed. In order to compare with measured value, DO, ORP that are operational control indicator of existing bioreactor were used. As MLSS concentration was increased through batch test, NADH value was increased and site evaluation also showed similar tendency to batch test. Resultantly, it could be confirmed that changing level of NADH fluorometer was a sensor that could measure bioreactor condition effectively and optimized scale of bioreactor is considered to be utilized.

• 대한인간공학회지
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• 제35권2호
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• pp.111-123
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• 2016

Objective: The objective of this research is to study preceding literature on safety culture surveying tools and indicators used in aviation organizations to help the further understanding of aviation safety culture by presenting Korea-Safety Culture Survey Indicator (K-SCSI) as a relevant case. Background: The aviation field puts a great deal of effort in preventive safety management through the application of Safety Management System (SMS), which was co-developed by international aviation organizations such as ICAO and FAA. To successfully operate safety management system, safety culture factors such as the organization member's level of consciousness, attitude and faith regarding safety must be put together. However, the aviation field currently lacks programs to promote safety culture and the exact understanding of some safety culture concepts. Method: This research inquired into the definition of safety culture in the aviation field and the surveying tools used to measure it. It then described the development and application process of the Korea-Safety Culture Survey Indicator (K-SCSI) mainly focusing on case studies. Results: In this research are presented safety culture promoting programs that can be applied to subordinate indicators of K-SCSI such as organization commitment, management involvement, rationality of reward system, employee empowerment and reporting system. Conclusion: For a mature safety culture to settle successfully, it is essential that safety culture survey indicators are developed and applied in a way that fits the organization's features. Also, behavior measuring indicators are required to develop a more objective indicator and thus must be standardized. Application: Cases that deal with the development and application of safety culture measuring tools within the aviation field can be studied and applied in other domains to spread safety culture.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.382-387
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• 2002

In this paper, we propose a geostatistical approach incorporated to the Bayesian data fusion technique for supervised classification of multi-sensor remote sensing data. Traditional spectral based classification cannot account for the spatial information and may result in unrealistic classification results. To obtain accurate spatial/contextual information, the indicator kriging that allows one to estimate the probability of occurrence of classes on the basis of surrounding observations is incorporated into the Bayesian framework. This approach has its merit incorporating both the spectral information and spatial information and improves the confidence level in the final data fusion task. To illustrate the proposed scheme, supervised classification of multi-sensor test remote sensing data set was carried out.

• 자원ㆍ환경경제연구
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• 제12권1호
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• pp.29-48
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• 2003

The Steel Industry has made a significant contribution to the increase of energy use in Korea. This paper presents a method for development energy efficiency indicator in the steel industry based on the decomposing approach. This paper develops a logically consistent method for decomposing a change in energy consumption into the effects of three factors structural change, energy intensity and output level. Numerical illustration of the method is given using 1992~2001 data for energy consumption in a virtual works. The most dominant factor is revealed to be the output effect. The energy intensity for the steel industry has increased and the effect of such a growth was relatively strongly reflected in the decomposition analysis. The structural effect turned out to be also important during the periods.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• 제3권3호
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• pp.143-150
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• 1999

Mobile source emissions are important inputs to photochemical air quality models. Since most mobile source emissions are calculated at the county-level, these emission should be geographically allocated to the computational grid cells of a photochemical air quality model prior to running the model. The traditional method for the spatial allocation of these emissions has been to use a "spatial surrogate indicator" such as population, since grid-specific emission calculations are very labor-intensive and expensive, plus the necessary data are often not available for such grid resolutions. Accordingly, new spatial surrogate indicators for mobile source emissions(specifically for highway emissions) were developed using Geographic Information Systems(GIS) tools due to the spatially variable nature of mobile source emissions. These newly developed spatial surrogate indicators appear to be more appropriate for the allocation of highway emissions than the population surrogate indicator. It was also revealed that the conventional spatial allocation method underestimates the maximum levels of air pollutant emmissions.mmissions.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2009년도 정보통신설비 학술대회
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• pp.162-164
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• 2009

IEEE 802.15.4에서 채널 간 충돌을 회피하기 위해 제안된 CSMA/CA 알고리듬은 수신되는 신호의 상관관계를 나타내는 지표인 LQI (Link Quality Indicator) 값과 수신되는 신호의 크기를 나타내는 지표인 RSSI (Received Signal Strength Indicator) 값을 이용한다. 지그비 모듈에서 측정되는 LQI 값은 수신되는 신호의 크기에 따라 변화하는데, 그 상관관계가 매우 부정확한 문제가 있어 왔다. 본 논문에서는 CC2430과 CC2591을 이용해 제작된 지그비 모듈을 기반으로 수신 신호의 크기와 LQI 값을 실험적으로 측정하여 RSSI 값에 따른 LQI 값의 상관관계를 분석하였다.

• 대한의생명과학회지
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• 제23권3호
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• pp.286-289
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• 2017

This study was designed to clarify the effect of juniper essential oil on the autonomic nervous system. Blood pressure and heart rate variability (HRV) reflecting autonomic nervous system activity were measured. The systolic and diastolic blood pressure were decreased by inhalation of juniper essential oil. High frequency (HF) power level, an indicator of parasympathetic nervous system activity was increased in the stimulation of juniper essential oil. High frequency/low frequency (HF/LF) ratio, an indicator of sympathetic nervous system activity was decreased by the juniper essential oil. These results suggest that juniper essential oil has a modulatory effect on the autonomic nervous system activity.

• 한국안전학회지
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• 제29권2호
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• pp.82-88
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• 2014

Recently, the concepts of community adaptation and ability to restore have been emphasized in order to evaluate disaster vulnerability and risk exposure level. In particular, the concept of disaster management that voluntarily takes measures prior to disaster situations has been introduced based on participatory disaster management that the community should take responsibility for one's own safety. This study diagnosed the community response capability on four model areas such as Goseong-gun and Gimhae-si, Gyeongsangnam-do and Gimcheon-si and Bonghwa-gun, Gyeongsangbuk-do and represented the Community Preparedness Indicator(CPI) for each region as a result.

• Journal of Power Electronics
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• 제11권4호
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• pp.424-429
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• 2011

In this paper, the simulator of an on-line monitoring system for the range extender electric vehicle has been developed. The messages from the four control modules, the air pressure and fuel level sensors data, and the on/off switching states of 31 indicator lamps can be received through the control area network (CAN), and displayed on the graphic panel. The simulator was designed using the four DSP boards, variable resistors, and toggle switches instead of the four control modules, sensors, and switching state of indicator lamps on an actual series hybrid electric vehicle (SHEV) bus, respectively. The performance of the monitoring technologies was verified with the simulator at the laboratory, and then it was tested on an actual SHEV bus. The simulator is very useful at the initial development of the monitoring system at the hybrid-type or electrical vehicles.

• Agribusiness and Information Management
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• 제1권2호
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• pp.23-42
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• 2009

As technology develops, more advanced technologies involving GPS, GIS, RFID and sensor networks have been adopted in agriculture sector for u-Farm. However, technology adoptions have been evaluated as ineffective. Farmers and agri-business have low level of understanding on technology so it is not efficiently utilized. This study introduces a case of RFID/sensor networks of mushroom farm as a u-Farm case study, focusing on developing a framework for analysis of u-Farm investment returns. RFID and sensor networks improve real-time production control, processing management, and traceability. Integration of RFID and sensor networks leads to innovation into the mushroom farm, reducing labor cost, increasing productivity, and improving quality of the mushroom. The ROI which is used as an indicator of performance indicator is 413%.