• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2018.06a
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• pp.349-350
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• 2018

본 논문에서는 전기 자동차 충전소의 전력 소모량 추정 알고리즘을 웹 서버에 도입하여, 충전소에 의한 전력소비가 주변 전력 계통에 미치는 영향을 모니터링할 수 있는 시스템을 제안한다. 우선, 관련 기관으로부터 공급 받는 지역 내 실시간 충전소 별 이용 상태 정보로부터 충전 시간과 그 횟수를 도출하고, 이를 충전소 마다 누적하여 소비 전력을 추정한다. 이렇게 추정된 충전소 별 전력 소모량을 웹 페이지를 통해 사용자에게 시각화하여 제공한다. 또한 같은 지역의 구간별 실시간 교통량 또한 같은 방식으로 제공하여, 전기 자동차 충전소 전력소모량의 변화 추이와 교통량의 변화 추이 간 상관관계를 확인할 수 있도록 한다. 따라서 제안하는 시스템은 지역 내 전기 자동차 충전소의 전력 소모량 및 그 변화 추이 관측하고 이를 바탕으로 지역 내 충전소 추가 설치 필요성, 전력 계통 부하 예측, 충전소 재배치 등 전기 자동차 충전소 운영 전략을 수립하는데 사용할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.520-525
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• 2007

센서 네트워크에서 에너지의 제한은 이전의 다른 많은 네트워크 시스템과 구별되는 특징을 가지게 한다. 따라서 센서 네트워크에서의 가장 중요한 연구 주제는 에너지를 절약하도록 하는 것에 초점이 맞춰진다. 기존의 센서 네트워크에서는 주로 Network, Mac, Phy 계층에서 연구가 진행되었으며, 또한 사용자가 센서 네트워크의 Lifetime을 미리 정할 수 없었다. 하지만, 어떤 센서 네트워크에서는 어떤 특정한 시간까지 생존할 필요가 있을 것이다. 이 논문에서는 미리 정해진 Lifetime을 보장하는 노드의 응용 수준에서의 에너지 소모 모델을 제공한다. 이와 같은 일을 하기위해서, 첫 번째로, 센서 네트워크에서의 응용을 6가지로 구분하고, 응용에서 필요로 되는 5가지 연산을 정의했다. 두 번째로 이러한 5가지의 연산을 포함하는 에너지 소모 모델을 만들었으며, 이것을 가지고 각각의 연산에서 소모되는 에너지를 통계적인 기법을 통해서 계산한다. 마지막으로 노드가 미리 정해진 시간까지 생존하도록 각각의 노드에서 응용의 에너지 소모 계획을 다시 작성한다. 예를들면, 응답주기와 센싱주기의 변경을 통하여 에너지의 소모를 줄일 수 있다. 결과적으로 이러한 일들은 노드가 정해진 시간까지 생존하도록 보장해 준다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.1042-1050
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• 2007

This paper describes the system which automatically generates power-minimized embedded cores from MDL descriptions. An automatic generation system is constructed which generated embedded cores which consumes less power for application programs. From the usage information on pipeline stages for each instruction, the proposed system generates embedded cores with the capability of detecting/resolving pipeline hazards. The generated cores are configured such that the power consumption is minimized. The proposed system has been tested by generating HDL codes for ARM9, MIPS R3000 architectures. Experimental results show functional accuracy of the generated cores, and show that power reduction of $20%{\sim}40%$ has been observed for benchmark programs.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.309-315
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• 2016

The node mobility in the wireless mobile network environment increases the energy consumption. This paper proposes a CNMA (cluster-based node management algorithm) to reduce the energy consumption caused by node mobility, and to prolong the life cycle for cluster member nodes. The proposed CNMA traces the mobility for nodes between cluster header and member, and it analyses the energy capacity as monitoring periodically their relationship. So, it makes a division and merges by analysing the state transition for nodes. This paper is to reduce the energy consumption due to the node mobility. The simulation results show that the proposed CNMA can efficiently control the energy consumption caused by mobility, and it can improve the energy cycle.

• Journal of Digital Contents Society
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• v.14 no.1
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• pp.1-5
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• 2013

In this paper a study of efficient CPLD low power algorithm is proposed. Proposed algorithm applicate graph partition method using DAG. Circuit representation DAG. Each nodes set up cost. The feasible cluster create according to components of CPLD. Created feasible cluster generate power consumption consider the number of OR-term, the number of input and the number of output. Implement a circuit as select FC having the minimum power consumption. Compared with experiment [9], and power consumption was decreased. The proposed algorithm is efficient. this paper, we proposed FPGA algorithm for consider the power consumption.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06b
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• pp.464-469
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• 2007

현재 이동용 장치(Mobile Device)들에서 전력 소모는 사용자들의 요구에 따라 성능 다음으로 중요한 비중을 차지하고 있다. 특히 배터리 셀의 기술 증가에 비해 프로세서들의 성능 및 요구하는 소비전력이 크게 증가함에 따라 프로세서의 전력 소모를 최소화 하는 연구들이 많이 진행되고 있다. 특히 프로세서의 전력 소모가 많은 비중을 차지함에 따라 프로세서의 전력 소모를 낮추기 위한 방법으로 많은 프로세서들은 DVS(Dynamic Voltage Scaling)와 DFS(Dynamic Frequency Scaling)를 지원한다. 실제 프로세서의 전력 소모는 공급전압에 의 제곱에 비례하고 동작 클럭(Clock) 주파수에 비례한다. 그러나 공급전압은 다시 동작 클럭 주파수에 비례함으로써 DVS와 DFS를 지원하는 대부분의 프로세서는 동작 클럭 주파수를 낮춤으로서 많은 전력 소모를 줄일 수 있게 된다. 그러나 동작 클럭 주파수를 낮추게 되면 태스크들의 실행 시간이 길어지게 되어 실시간 시스템에서 실시간성을 보장하지 못하게 된다. 본 논문에서는 상호간에 공유자원을 갖는 태스크들의 실시간성을 보장하며 동작 클럭 주파수를 낮추는 알고리즘을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.91-96
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• 2019

There are so many low power MAC protocols for wireless sensor network. IEEE802.15.4 among them has disadvantage of a large power consumption for synchronization. To save power consumption it use the superframe operation alternating sleep mode and awake mode. But latency is longer result from superframe operation. Typical asynchronous B-MAC can have shorter latency according to check interval. But transmitter consumes more power because of long preamble. And receiver is suffering from overhearing. In this paper, we propose the adaptive check interval scheme of B-MAC for enhancing the power consumption and delay latency performance. Its power consumption is evaluated by comparing the proposed scheme with a typical IEEE802.15.4.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.6D
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• pp.749-754
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• 2011

It is common that basic unit and model of fuel consumption have been used to evaluate effectiveness analysis of transportation infrastructure investment programs. However they could not reflect vehicle characteristics such as loading capacity and types of heavy vehicles. For these reasons, this study reviews convention fuel consumption model which is widely used and conducts a field experiment for 5 classes of heavy vehicles. To develop the fuel consumption quadratic model the field data are used and we develop each model by classes, and then compare with convention fuel consumption model. As a result, between convention and suggested model, there are considerable differences, which have a similar pattern between an 11-ton cargo of convention model and a 25-ton cargo type dump truck of the suggested model. Likewise we identify that there is an approximately 26% gap between convention model result and the result which is calculated a weighted average by registered number of heavy vehicles based on 5 types of fuel consumption model suggested in this study. This result implies that convention fuel assumption model has a realistic limitation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.26 no.4
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• pp.556-562
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• 1997

Depletion of nitrite by lactic acid bacteria isolated from Kimchi and the effects of pH and temperature on depletion of nitrite in Lactobacillus MRS broth were investigated. Depletion of nitrite by Lactobacillus plantarum and Lactobacillus sake was low in initial stage of growth but increased during growth at 15 and 2$0^{\circ}C$. L. plantarum and L. sake depleted than 90 and 75% of nitrite(250$\mu\textrm{g}$/$m\ell$) in 1 day of growth at 25 and 3$0^{\circ}C$, respectively, but depleted almost all of nitrite in 2 days. While the effect of Leuconostoc mesenteroides (150$\mu\textrm{g}$/$m\ell$) was lower compared to Lactobacillus(250$\mu\textrm{g}$/$m\ell$). In addition, even high concentrations(600 and 900 $\mu\textrm{g}$/$m\ell$) of nitrite was depleted at 2 days of growth by L. plantarum. pH of growing broth decreased as the increase of growth time and temperature, and depletion of nitrite in- creased as the decrease of pH of growing culture. However, pH of broth related with the decrease of depletion of nitrite at 25 and 3$0^{\circ}C$, but not at 15 and 2$0^{\circ}C$. Therefore, depletion of nitrite was greatly affected by growth temperature rather than by pH.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.469-477
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• 2009

In mobile systems, energy efficiency is critical to extend battery life. Therefore, power consumption should be taken into account to develop software in addition to performance, Efficient software design in power and performance is possible if accurate power prediction is accomplished during the execution of software, In this paper, power estimation model is developed using statistical analysis, The proposed model analyzes processor behavior Quantitatively using the data of performance monitoring events and power consumption collected by executing various benchmark programs, And then representative hardware events on power consumption are selected using hierarchical clustering, The power prediction model is established by regression analysis in which the selected events are independent variables and power is a response variable, The proposed model is applied to a PXA320 mobile processor based on Intel XScale architecture and shows average estimation error within 4% of the actual measured power consumption of the processor.