• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.9A
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• pp.712-718
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• 2009

This paper proposes the optimal transmission parameter selection method for an energy efficient Wireless Personal Area Network (WPAN) system which is applicable to the Maritime Telematics targeting for various ship models. Since the transmission parameter selection is an important factor for WPAN system to decide its energy efficiency, we propose an energy consumption model for ship area network (SAN) employing IEEE 802.15.3 based TDMA HR-WPAN model and analyzes the effect of transmission parameter selection on the performance of energy consumption. In particular, the main performance decision parameter of the SAN applying HR-WPAN is path loss, since it is very varied according to the material of shipbuilding such as steel (large ship), FRP (medium size ship) and compound wood (small ship). Thus, we analyzed and demonstrated that the proper transmission parameter selection among transmit power, PHY data rate and fragment size for each ship model guarantee the energy efficiency.

• Journal of the Korean Solar Energy Society
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• v.26 no.1
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• pp.13-19
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• 2006

The efficiency of building-integrated photovoltaic(BIPV) system is mainly determined by solar radiation and the temperature of PV modules. The performance of BIPV systems is reported to be different from that of conventional PV systems installed in the open-air. This paper presents the relationship of solar radiation and electricity generation from a 2kWp roof-integrated PV system that is applied as building elements on an experimental house, and the energy saving effect of the BIPV system for a typical house. For the performance evaluation of the BIPV system, it produced a regression equation with measured data for winter days. The regression equation showed that a comparison of the measured electricity generation and the predicted electricity generation of the BIPV system were meaningful. It showed that an annual electricity generation of the system appeared to cover around 52% of an annual electricity consumption of a typical domestic house with the floor area of $96m^2$.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1718-1724
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• 2017

Recently, Smart plugs for real time monitoring of household appliances based on IoT(Internet of Things) have been activated. Through this, consumers are able to save energy by monitoring real-time energy consumption at all times, and reduce power consumption through alarm function based on consumer setting. In this paper, we measure the alternating current from a wall power outlet for real-time monitoring. At this time, the current pattern for each household appliance was classified and it was experimented with deep learning to determine which product works. As a result, we used a cross validation method and a bootstrap verification method in order to the classification performance according to the type of appliances. Also, it is confirmed that the cost function and the learning success rate are the same as the train data and test data.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.743-744
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• 2016

Due to the many amenities of a modern power with solar power and green energy alternative to injury by cutting down on the number of solar energy and pollution and environmental factors. There is still much research and trying to incorporate a variety of applications. In this paper, create a daytime energy by fusing solar panels and billboards, and at night has the advantage that you can save more energy used to sign by the sign serves also and at the same time energy acts like a tent when the day by using the power usage is expected to be higher.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.61-69
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• 2015

Through Virtual Machine technology(VM), VMs can be packed into much fewer number of physical servers than that of VMs. Since even an idle physical server wastes more than 60% of max power consumption, it has been considered as one of energy saving technologies to minimize the number of physical servers by using the knapsack problem solution based on the computing resources. However, this paper shows that this tightly packed consolidation may not achieve the efficient energy saving. Instead, a service pattern-based VM consolidation algorithm is proposed. The proposed algorithm takes the service time of each VM into account, and consolidates VMs to physical servers in the way to minimize energy consumption. The comprehensive simulation results show that the proposed algorithm gains more than 30% power saving.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10A
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• pp.760-768
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• 2009

In this paper, we propose the energy efficient transmission parameter selection method for Wireless Personal Area Network (WPAN) system which is applied to e-Navigation system considering various ship models environment. An appropriate selection of transmission parameters of HR-WPAN system is very essential to be considered for saving WPAN devices' energy consumption, when HR-WPAN system is applied to ship area network (SAN). Therefore, we propose an energy consumption model for a ship area network employing IEEE 802.15.3 based CSMA/CA HR-WPAN model and analyze the effect of transmission parameter selection on the performance of energy consumption. In particular, the path loss is the major performance decision parameter for the SAN employing HR-WPAN system, since it varies according to the material of shipbuilding such as steel(for large ship), FRP(for medium size ship) and compound wood(for small ship). Thus, we analyze and demonstrate that the proper transmission parameter selection of transmit power, PHY data rate and fragment size for each ship model could guarantee energy efficiency.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10A
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• pp.769-775
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• 2009

This paper proposes the optimal transmission parameter selection method for an energy efficient Wireless Personal Area Network (WPAN) system which is applicable to the Maritime Telematics targeting for various ship models. Since the transmission parameter selection is an important factor for WPAN system to decide its energy efficiency, we propose an energy consumption model for ship area network (SAN) employing IEEE 802.15.3 based TDMA HR-WPAN model and analyzes the effect of transmission parameter selection on the performance of energy consumption. In particular, the main performance decision parameter of the SAN applying HR-WPAN is path loss, since it is very varied according to the material of shipbuilding such as steel (large ship), FRP (medium size ship) and compound wood (small ship). Thus, we analyzed and demonstrated that the proper transmission parameter selection among transmit power, PHY data rate and fragment size for each ship model guarantee the energy efficiency.

• Environmental and Resource Economics Review
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• v.4 no.2
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• pp.307-344
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• 1995

이 논문은 산업공해의 발생 요인을 규명하는 부분과 여기서 규명된 요인에 따라 배출량을 규제하고 그 규제효과를 추정하는 두 가지 부분으로 이루어져 있다. 이 논문에서는 환경(環境) 산업연관(産業聯關) 분석(分析) 모형(模型)을 이용하여 우리 나라의 산업(産業) 공해(公害) 배출(排出) 요인(要因)을 규명하고자 하였다. 이 분석의 결과 얻은 잠정적 결론은 첫째, 우리 나라는 지난 10년간 에너지 절약적(節約的)인 기술개발(技術開發)등 에너지의 효율성과 생산기술(生産技術)(투입구조(投入構造))의 개선 등 생산기술측면에서는 대기오염 배출량을 감소시키는 구조적 변화가 있었던 반면에, 수출입(輸出入) 구조(構造)등 수요 측면에서는 그 배출량을 증가시키는 구조적 변화가 발생하였다. 그러나 전체적으로 구조적 요인은 공해 배출량을 증가시키지 않은 반면 경제 성장에 따른 생산 규모의 확대로 총 배출량은 크게 증가하였다. 산업공해의 배출량을 감축시키기 위한 한 가지 정책수단(政策手段)으로 우리는 일정 율의 탄산까스 배출량(排出量)을 규제하기 위해 필요한 공해 제거 비용을 계산하고 배출 단위 제거비용을 Pigou적 공해조세(公害租稅)로 제시함으로서 일정 배출량 감축 효과를 가지는 공해세를 계산하고자 시도하였다. 이 같은 배출 규제(規制)에 의한 물가상승(物價上昇)의 파급정도(波及程度)는 각 산업의 공해제거(公害除去)를 위한 중간투입물(中間投入物) 수요(需要)와 규제대상(規制對象) 산업(産業)과의 산업연관(産業聯關) 정도(程度)에 따라 상이하다. 배출량(排出量)이 큰 6대(大) 공해산업(公害産業)에 대한 규제(規制)는 자기(自己) 가격상승율(價格上昇率)이외에 산업연관효과(産業聯關效果)의 차이 때문에 산업별로 다른 물가 파급효과를 발생시킨다는 것을 보였다. 특히 석유와 석탄 등의 에너지에 대한 탄산까스 배출 규제는 규제 산업의 자기 가격을 매우 높은 율로 상승시키며, 각각 화학, 고무, 섬유, 의복 제품과 1 차금속, 전력 가스, 조립금속, 시멘트 등에 높은 물가 파급효과를 나타내므로서 이산화탄소의 배출 규제 내지 탄소세의 부과가 몇 몇 산업의 가격 경쟁력에 집중적인 영향을 줄 것임을 시사하고 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.426-429
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• 2006

A distributed healthcare monitoring system prototype for clinical and trauma patients, was developed, using wireless sensor network node. The proposed system aimed to measure various vital physiological health parameters like ECG and body temperature of patients and elderly persons and transfer his/ her health status wirelessly in Ad-hoc network, to remote base station which was connected to doctor's PDA/PC or to a hospital's main Server using wireless sensor node. The system also aims to save the cost of healthcare facility for patients and the operating power of the system because sensor network is deployed widely and the distance from sensor to base station was shorter than in general centralized system. The wireless data communication will follow IEEE 802.15.4 frequency communication with ad-hoc routing thus enabling every motes attached to patients, to form a wireless data network to send data to base-station, providing mobility and convenience to the users in home environment.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.113-118
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• 2011

In this paper, we develop a speaker gender classification technique using collaborative sensor fusion for use in a wireless sensor network. The distributed sensor nodes remove the unwanted input data using the BER(Band Energy Ration) based voice activity detection, process only the relevant data, and transmit the hard labeled decisions to the fusion center where a global decision fusion is carried out. This takes advantages of power consumption and network resource management. The Bayesian sensor fusion and the global weighting decision fusion methods are proposed to achieve the gender classification. As the number of the sensor nodes varies, the Bayesian sensor fusion yields the best classification accuracy using the optimal operating points of the ROC(Receiver Operating Characteristic) curves_ For the weights used in the global decision fusion, the BER and MCL(Mutual Confidence Level) are employed to effectively combined at the fusion center. The simulation results show that as the number of the sensor nodes increases, the classification accuracy was even more improved in the low SNR(Signal to Noise Ration) condition.