• International Journal of Aeronautical and Space Sciences
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• 제18권3호
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• pp.579-587
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• 2017

Spaceborne cryocoolers produce undesirable micro-vibration disturbances during their on-orbit operation, which are a primary source of image-quality degradation for high-resolution observation satellites. Therefore, to comply with the strict mission requirement of high-quality image acquisition, micro-vibration disturbances induced by cooler operation have always been subjected to an isolation objective. However, in this study, we focused on the applicability of energy harvesting technology to generate electrical energy from micro-vibration energy of the cooler and investigated the feasibility of utilizing harvested energy as a power source to operate low-power-consumption devices such as micro-electromechanical system (MEMS) devices. A tuned mass damper (TMD)-type electromagnetic energy harvester combined with a conventional passive vibration isolator was proposed to achieve this objective. The system performs the dual functions of electrical energy generation and micro-vibration isolation. The effectiveness of the strategy was evaluated through numerical simulations.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.4025-4041
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• 2020

Mobile edge computing (MEC) is capable of providing services to smart devices nearby through radio access networks and thus improving service experience of users. In this paper, an offloading strategy for the joint optimization of computing and communication resources in multi-user and multi-MEC overlapping scene was proposed. In addition, under the condition that wireless transmission resources and MEC computing resources were limited and task completion delay was within the maximum tolerance time, the optimization problem of minimizing energy consumption of all users was created, which was then further divided into two subproblems, i.e. offloading strategy and resource allocation. These two subproblems were then solved by the game theory and Lagrangian function to obtain the optimal task offloading strategy and resource allocation plan, and the Nash equilibrium of user offloading strategy games and convex optimization of resource allocation were proved. The simulation results showed that the proposed algorithm could effectively reduce the energy consumption of users.

• 대한임베디드공학회논문지
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• 제18권4호
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• pp.159-164
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• 2023

Solar energy harvesting IoT devices prioritize maximizing the utilization of collected energy due to the periodic recharging nature of solar energy, rather than minimizing energy consumption. Meanwhile, research on edge AI, which performs machine learning near the data source instead of the cloud, is actively conducted for reasons such as data confidentiality and privacy, response time, and cost. One such research area involves performing various audio AI applications using audio data collected from multiple IoT devices in an IoT edge computing environment. However, in most studies, IoT devices only perform sensing data transmission to the edge server, and all processes, including data preprocessing, are performed on the edge server. In this case, it not only leads to overload issues on the edge server but also causes network congestion by transmitting unnecessary data for learning. On the other way, if data preprocessing is delegated to each IoT device to address this issue, it leads to another problem of increased blackout time due to energy shortages in the devices. In this paper, we aim to alleviate the problem of increased blackout time in devices while mitigating issues in server-centric edge AI environments by determining where the data preprocessed based on the energy state of each IoT device. In the proposed method, IoT devices only perform the preprocessing process, which includes sound discrimination and noise removal, and transmit to the server if there is more energy available than the energy threshold required for the basic operation of the device.

• Journal of Advanced Marine Engineering and Technology
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• 제36권5호
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• pp.707-715
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• 2012

Ocean waves are mighty and powerful. Humans have explored the possibility of harnessing this mighty power for decades now. Estimated as suffice, if only, a fraction of this energy is captured and harnessed, the worry for decrease in fossil fuels diminishes and the current energy consumption of the world can be met. Though different types of methods and devices for extracting energy from this nonstop, free source has been proposed, a handful of them have reached commercialization and others are on the verge. This paper discusses the journey so far in terms of devices that have been developed or prototypes proposed or commercialized. Only a list full of them have been discussed though they exist in numbers.

• 한국정보기술학회 영문논문지
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• 제10권1호
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• pp.57-69
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• 2020

In general, many IoT devices, including smart phones, use LTE, Wi-Fi, and Bluetooth, and these communication modules generate a lot of energy consumption during periodic data transmission. This paper proposes a method of the data transmission mode change for improving energy efficiency in various communication environments that mobile devices may encounter. We propose an algorithm for setting the mode considering energy efficiency, data transmission performance and cost when the mobile device transmits data, and transmitting the data in an optimized manner according to the state of the mobile device. The proposed algorithm is implemented through experiments on energy efficiency for each communication module, and the scenario is used to verify how efficiently the proposed algorithm uses energy.

• 한국IT서비스학회지
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• 제12권4호
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• pp.369-380
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• 2013

The advent of the state-of-the-art technologies such as cloud computing and big data processing stimulates the provision of various new IT services, which implies that more servers are required to support them. However, the need for more servers will lead to more energy consumption and the efficient use of energy in the computing environment will become more important. The next generation nonvolatile RAM has many desirable features such as byte addressability, low access latency, high density and low energy consumption. There are many approaches to adopt them especially in the area of the file system involving storage devices, but their focus lies on the improvement of system performance, not on energy reduction. This paper suggests a novel approach for energy reduction in which the MRAM-based SSD is utilized as a storage device instead of the hard disk and a downsized page is adopted instead of the 4KB page that is the size of a page in the ordinary file system. The simulation results show that energy efficiency of a new approach is very effective in case of accessing the small number of bytes and is improved up to 128 times better than that of NAND Flash memory.

• 한국컴퓨터정보학회논문지
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• 제16권2호
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• pp.121-129
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• 2011

최근 무선 네트워크의 발전과 스마트폰과 같은 성능이 우수한 모바일 장치의 등장으로 모바일 IPTV 서비스를 제공받고자 하는 요구가 증가하고 있다. 모바일 장치는 배터리 용량이 한정되어 있으므로 에너지 소모를 최소화하는 것이 필수적이다. 따라서 본 논문에서는 P2P 기반의 모바일 IPTV 시스템에서 에이전트 피어를 이용하여 모바일 피어의 에너지 소모를 최소화하는 스트리밍 구조를 제안한다. 에이전트 피어는 해당 모바일 피어를 대신하여 스트리밍 기능과 오버레이 네트워크 가입과 탈퇴 시 필요한 컨트롤 메시지 교환을 수행함으로써 모바일 피어의 에너지 소모량을 크게줄일 수 있다. 마지막으로 에너지 모델을 적용한 시뮬레이션을 통해 본 논문에서 제안하는 스트리밍 구조가 에이전트 피어를 이용하여 모바일 피어의 배터리 사용 시간을 증가 시킬 수 있음을 보인다.

• 한국정보전자통신기술학회논문지
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• 제14권1호
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• pp.14-21
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• 2021

그린 네트워킹(Green networking)은 유선 데이터 네트워크(Wired data network)에서 통합적인 에너지 관리를 통해 에너지 낭비와 CO2 배출 감소를 유도하기 위해 주요 관심분야가 되었다. 그러나 액세스 네트워크(access networks)는 유선 데이터 네트워크 영역에서 사용자 단말을 제외하면 가장 많은 에너지를 소비하는 영역임에도 불구하고 그 범위가 매우 광대하여 통합적인 관리가 어렵고, 그 에너지 소모량과 에너지 절약 잠재성을 예측하기가 매우 어렵다. 본 논문에서는 기존의 다양한 수학적 예측 모델과 실험 및 실측 데이터를 이용하여 유선 액세스 네트워크의 에너지 소모량 데이터를 수집하고 머신러닝(Machine learning)의 지도학습을 이용한 다중 선형 회귀모델을 생성한다. 또한 생성한 모델로부터 다양한 실험을 통해 회귀모델의 성능을 최적화하여 유선 액세스 네트워크의 에너지 소모량을 예측하였고 생성한 회귀모델은 널리 알려진 평가 지표를 통해 성능을 평가하였다.

• Journal of Communications and Networks
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• 제18권3호
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• pp.327-332
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• 2016

The routing protocol for low-power and lossy networks (RPL) is an internet protocol based routing protocol developed and standardized by IETF in 2012 to support a wide range of applications for low-power and lossy-networks (LLNs). In LLNs consisting of resource-constrained devices, the energy consumption of battery powered sensing devices during network operations can greatly impact network lifetime. In the case of inefficient route selection, the energy depletion from even a few nodes in the network can damage network integrity and reliability by creating holes in the network. In this paper, a composite energy-aware node metric ($RER_{BDI}$) is proposed for RPL; this metric uses both the residual energy ratio (RER) of the nodes and their battery discharge index. This composite metric helps avoid overburdening power depleted network nodes during packet routing from the source towards the destination oriented directed acyclic graph root node. Additionally, an objective function is defined for RPL, which combines the node metric $RER_{BDI}$ and the expected transmission count (ETX) link quality metric; this helps to improve the overall network packet delivery ratio. The COOJA simulator is used to evaluate the performance of the proposed scheme. The simulations show encouraging results for the proposed scheme in terms of network lifetime, packet delivery ratio and energy consumption, when compared to the most popular schemes for RPL like ETX, hop-count and RER.

• 융합신호처리학회논문지
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• 제16권3호
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• pp.115-121
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• 2015

가정 및 사무실의 전기/전자 기기가 내부 혹은 외부로부터 주 기능 수행을 위한 명령을 기다리고 있는 상태에서 소모되는 대기전력을 차단할 수 있는 장치를 저가로 개발하였다. 대기전력을 줄이기 위한 노력이 선진국들뿐만 아니라 국제적 차원에서 경주되고 있다. 우리나라도 가구당 전자/전기기기 보유대수가 증가되는 추세에 따른 대기전력이 점차 증가하고 있어 전기 에너지 낭비의 큰 요인이 되고 있다. 기존의 대기전력 차단장치는 그 장치 자체의 소비전력이 크고, 구조가 복잡하여 사용 의미를 퇴색시키는 문제점을 안고 있다. 본 논문에서는 기존 제품의 이러한 문제점을 보완시키고 대기전력을 완전히 차단하는 저가형 대기전력 차단장치를 제안한다. 그리고 제안한 대기전력 차단장치를 누전차단기와 콘센트에 적용하여 회로를 설계 및 구현하고 실험을 통하여 그 우수성을 확인하였다.