• Title/Summary/Keyword: energy security

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Urgent Proposal - Renewable energy & Biogas (긴급제언 - 신재생에너지와 바이오가스)

  • Kim, Young-Seob
    • Journal of the Korean Professional Engineers Association
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    • v.44 no.6
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    • pp.35-39
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    • 2011
  • Many countries around the world have actively used biogas to reduce greenhouse gases in order to improve the environment. Recently, South Korea has invested a lot of money in technology development for organic waste and expanded the policy to supply renewable energy. The use of biogas would also increase our country's energy security. Therefore, I would suggest that our government adopt the relevant laws and systems regarding biogas in the near future.

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Blockchain-based Data Storage Security Architecture for e-Health Care Systems: A Case of Government of Tanzania Hospital Management Information System

  • Mnyawi, Richard;Kombe, Cleverence;Sam, Anael;Nyambo, Devotha
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.364-374
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    • 2022
  • Health information systems (HIS) are facing security challenges on data privacy and confidentiality. These challenges are based on centralized system architecture creating a target for malicious attacks. Blockchain technology has emerged as a trending technology with the potential to improve data security. Despite the effectiveness of this technology, still HIS are suffering from a lack of data privacy and confidentiality. This paper presents a blockchain-based data storage security architecture integrated with an e-Health care system to improve its security. The study employed a qualitative research method where data were collected using interviews and document analysis. Execute-order-validate Fabric's storage security architecture was implemented through private data collection, which is the combination of the actual private data stored in a private state, and a hash of that private data to guarantee data privacy. The key findings of this research show that data privacy and confidentiality are attained through a private data policy. Network peers are decentralized with blockchain only for hash storage to avoid storage challenges. Cost-effectiveness is achieved through data storage within a database of a Hyperledger Fabric. The overall performance of Fabric is higher than Ethereum. Ethereum's low performance is due to its execute-validate architecture which has high computation power with transaction inconsistencies. E-Health care system administrators should be trained and engaged with blockchain architectural designs for health data storage security. Health policymakers should be aware of blockchain technology and make use of the findings. The scientific contribution of this study is based on; cost-effectiveness of secured data storage, the use of hashes of network data stored in each node, and low energy consumption of Fabric leading to high performance.

Lithium Air Battery: Alternate Energy Resource for the Future

  • Zahoor, Awan;Christy, Maria;Hwang, Yun-Ju;Nahm, Kee-Suk
    • Journal of Electrochemical Science and Technology
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    • v.3 no.1
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    • pp.14-23
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    • 2012
  • Increasing demand of energy, the depletion of fossil fuel reserves, energy security and the climate change have forced us to look upon alternate energy resources. For today's electric vehicles that run on lithium-ion batteries, one of the biggest downsides is the limited range between recharging. Over the past several years, researchers have been working on lithium-air battery. These batteries could significantly increase the range of electric vehicles due to their high energy density, which could theoretically be equal to the energy density of gasoline. Li-air batteries are potentially viable ultra-high energy density chemical power sources, which could potentially offer specific energies up to 3000 $Whkg^{-1}$ being rechargeable. This paper provides a review on Lithium air battery as alternate energy resource for the future.

Emission factors based estimation of exhaust emissions with biodiesel blended fuel from naval vessel propulsive diesel engine (바이오디젤 혼합연료를 사용하는 함정추진디젤기관의 배출계수를 이용한 배기가스 배출량 예측)

  • Lee, Hyungmin
    • Journal of Advanced Marine Engineering and Technology
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    • v.37 no.4
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    • pp.332-337
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    • 2013
  • National investment was performed in the research and development of renewable energy because of climate change by air pollution, exhaustion of energy sources, energy security, and so on. Biodiesel fuel of the renewable energy is highlighted as friendly environment energy, it is possible to operate in regular diesel engines when it is blended with invariable ratios without making any changes. Emission factors have been estimated for commercial ship from various research institutes; however, it is difficult to develop emission factors for military vessels. In this work, biodiesel blended fuel emission factors for sulfur dioxide and carbon dioxide were quantitatively estimated from propulsive diesel engine installed on naval vessel using fuel property analysis. In addition, exhaust emissions were quantitatively calculated on the basis of fuel consumption rate with biodiesel content by percentage.

Coordinated Control Strategy and Optimization of Composite Energy Storage System Considering Technical and Economic Characteristics

  • Li, Fengbing;Xie, Kaigui;Zhao, Bo;Zhou, Dan;Zhang, Xuesong;Yang, Jiangping
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.847-858
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    • 2015
  • Control strategy and corresponding parameters have significant impacts on the overall technical and economic characteristics of composite energy storage systems (CESS). A better control strategy and optimized control parameters can be used to improve the economic and technical characteristics of CESS, and determine the maximum power and stored energy capacity of CESS. A novel coordinated control strategy is proposed considering the coordination of various energy storage systems in CESS. To describe the degree of coordination, a new index, i.e. state of charge coordinated response margin of supercapacitor energy storage system, is presented. Based on the proposed control strategy and index, an optimization model was formulated to minimize the total equivalent cost in a given period for two purposes. The one is to obtain optimal control parameters of an existing CESS, and the other is to obtain the integrated optimal results of control parameters, maximum power and stored energy capacity for CESS in a given period. Case studies indicate that the developed index, control strategy and optimization model can be extensively applied to optimize the economic and technical characteristics of CESS. In addition, impacts of control parameters are discussed in detail.

Energy Management and Performance Evaluation of Fuel Cell Battery Based Electric Vehicle

  • Khadhraoui, Ahmed;SELMI, Tarek;Cherif, Adnene
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.37-44
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    • 2022
  • Plug-in Hybrid electric vehicles (PHEV) show great potential to reduce gas emission, improve fuel efficiency and offer more driving range flexibility. Moreover, PHEV help to preserve the eco-system, climate changes and reduce the high demand for fossil fuels. To address this; some basic components and energy resources have been used, such as batteries and proton exchange membrane (PEM) fuel cells (FCs). However, the FC remains unsatisfactory in terms of power density and response. In light of the above, an electric storage system (ESS) seems to be a promising solution to resolve this issue, especially when it comes to the transient phase. In addition to the FC, a storage system made-up of an ultra-battery UB is proposed within this paper. The association of the FC and the UB lead to the so-called Fuel Cell Battery Electric Vehicle (FCBEV). The energy consumption model of a FCBEV has been built considering the power losses of the fuel cell, electric motor, the state of charge (SOC) of the battery, and brakes. To do so, the implementing a reinforcement-learning energy management strategy (EMS) has been carried out and the fuel cell efficiency has been optimized while minimizing the hydrogen fuel consummation per 100km. Within this paper the adopted approach over numerous driving cycles of the FCBEV has shown promising results.

Developing an Energy Self-Reliance Model in a Sri Lankan Rural Area (스리랑카 농촌 지역의 에너지 자립화 모델 개발)

  • Donggun Oh;Yong-heack Kang;Boyoung Kim;Chang-yeol Yun;Myeongchan Oh;Hyun-Goo Kim
    • New & Renewable Energy
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    • v.20 no.1
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    • pp.88-94
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    • 2024
  • This study explored the potential and implementation of renewable energy sources in Sri Lanka, focusing on the theoretical potential of solar and wind energy to develop self-reliant energy models. Using advanced climate data from the European Centre for Medium-Range Weather Forecasts and Global Solar/Wind Atlas provided by the World Bank, we assessed the renewable energy potential across Sri Lanka. This study proposes off-grid and minigrid systems as viable solutions for addressing energy poverty in rural regions. Rural villages were classified based on solar and wind resources, via which we proposed four distinct energy self-reliance models: Renewable-Dominant, Solar-Dominant, Wind-Dominant, and Diesel-Dominant. This study evaluates the economic viability of these models considering Sri Lanka's current energy market and technological environment. The outcomes highlight the necessity for employing diversified energy strategies to enhance the efficiency of the national power supply system and maximize the utilization of renewable resources, contributing to Sri Lanka's sustainable development and energy security.

Enabling Energy Efficient Image Encryption using Approximate Memoization

  • Hong, Seongmin;Im, Jaehyung;Islam, SM Mazharul;You, Jaehee;Park, Yongjun
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.17 no.3
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    • pp.465-472
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    • 2017
  • Security has become one of the most important requirements for various devices for multi-sensor based embedded systems. The AES (Advanced Encryption Standard) algorithm is widely used for security, however, it requires high computing power. In order to reduce the CPU power for the data encryption of images, we propose a new image encryption module using hardware memoization, which can reuse previously generated data. However, as image pixel data are slightly different each other, the reuse rate of the simple memoization system is low. Therefore, we further apply an approximate concept to the memoization system to have a higher reuse rate by sacrificing quality. With the novel technique, the throughput can be highly improved by 23.98% with 14.88% energy savings with image quality loss minimization.

Energy Efficient IDS Node Distribution Algorithm using Minimum Spanning Tree in MANETs

  • Ha, Sung Chul;Kim, Hyun Woo
    • Smart Media Journal
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    • v.5 no.4
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    • pp.41-48
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    • 2016
  • In mobile ad hoc networks(MANETs), all the nodes in a network have limited resources. Therefore, communication topology which has long lifetime is suitable for nodes in MANETs. And MANETs are exposed to various threats because of a new node which can join the network at any time. There are various researches on security problems in MANETs and many researches have tried to make efficient schemes for reducing network power consumption. Power consumption is necessary to secure networks, however too much power consumption can be critical to network lifetime. This paper focuses on energy efficient monitoring node distribution for enhancing network lifetime in MANETs. Since MANETs cannot use centralized infrastructure such as security systems of wired networks, we propose an efficient IDS node distribution scheme using minimum spanning tree (MST) method to cover all the nodes in a network and enhance the network lifetime. Simulation results show that the proposed algorithm has better performance in comparison with the existing algorithms.

Device to Device Communications Architectures and Cross-Layer Evaluation Frameworks

  • Aldabbagh, Ghadah
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.152-161
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    • 2021
  • The paper focuses on Device-to-device (D2D) Architectures evaluation frameworks. D2D communication and discovery can improve spectrum usage efficiency and optimize the tradeoffs between throughput and energy consumption. The target operation modes involve both indirect communication between two nodes via a base station or the direct communication among proximal nodes, enabling use cases that can support communications out of cellular coverage, as well as low end-end delay requirements. The paper will present the architectural evolution of D2D networks within 3GPP standardization and will highlight key network functionalities and signaling protocols. It will also identify key analytical and simulation models that can be used to assess the performance and energy efficiency of resource allocation strategies, and it will present a suitable cross-layer integrated framework.