• International Journal of Computer Science & Network Security
• /
• 제21권4호
• /
• pp.255-263
• /
• 2021

Smart grid is a fully-automated, bi-directional, power transmission network based on the physical grid system, which combines sensor measurement, computer, information communication, and automatic control technology. Blockchain technology, with its security features, can be integrated with Smart Grids to provide secure and efficient power management and transmission. This paper dicusses the deployment of Blockchain technology in Smart Grid. It presents application areas and protocols in which blockchain can be applied to in securing smart grid. One application of each area is explored in detail, such as efficient peer-to-peer transaction, lower platform costs, faster processes, greater flexibility in power generation to transmission, distribution and power consumption in different energy storage systems, current barriers obstructing the implementation of blockchain applications with some level of maturity in financial services but concepts only in energy and other sectors. Wide range of energy applications suggesting a suitable blockchain architecture in smart grid operations, a sample block structure and the potential blockchain technicalities employed in it. Also, added with efficient data aggregation schemes based on the blockchain technology to overcome the challenges related to privacy and security in the smart grid. Later on, consensus algorithms and protocols are discussed. Monitoring of the usage and statistics of energy distribution systems that can also be used to remotely control energy flow to a particular area. Further, the discussion on the blockchain-based frameworks that helps in the diagnosis and maintenance of smart grid equipment. We have also discussed several commercial implementations of blockchain in the smart grid. Finally, various challenges have been discussed for integrating these technologies. Overall, it can be said at the present point in time that blockchain technology certainly shows a lot of potentials from a customer perspective too and should be further developed by market participants. The approaches seen thus far may have a disruptive effect in the future and might require additional regulatory intervention in an already tightly regulated energy market. If blockchains are to deliver benefits for consumers (whether as consumers or prosumers of energy), a strong focus on consumer issues will be needed.

• 유통과학연구
• /
• 제22권3호
• /
• pp.1-10
• /
• 2024

Purpose: The current study focused on work performance of distribution department of AMC (asset management company) industry in China, outlines the challenges faced by distribution employees of Chinese four biggest national AMCs, aiming to enhance the ability of Chinese national AMCs to succeed in the face of external challenges such as economic, social, and technological changes. Research design, data and methodology: This study adopted quantitative methods, questionnaire was collected from 248 general distribution department employees of four national AMCs of China, these employees are from the top 5 developed cities in China, and software Smart PLS 3.0 and SPSS 25 was applied to data analysis. Results: The result of this current study through Smart PLS 3.0 has revealed that the significant effect of affective commitment on contextual performance, affective commitment on task performance, continuance commitment on contextual performance, normative commitment on contextual performance, and effect of continuance commitment on task performance and normative commitment on task performance were found to be non-significant. Conclusions: According to the important role of distribution department, managers in China's national AMCs can leverage the study's findings to enhance organizational commitment among employees of distribution department, and further positively influences distribution department employees' work performance.

• 한국융합학회논문지
• /
• 제7권5호
• /
• pp.161-167
• /
• 2016

최근 유통채널은 양적인 증가에서 질적 개선으로 산업 패러다임이 전환되고 있다. 더불어 고객의 새로운 성향과 소비트랜드를 반영하고 서비스의 핵심가치를 옴니채널 O2O(Online to Offline)비즈니스 모델 중심으로 발전하고 있다. 이에 기업들은 다양한 유통채널을 통합하고 고도의 콘텐츠 비지니스 서비스를 고객에게 제공하기 위해 새로운 사업전략 모색에 관심이 높아지고 있다. 현재 고객에게 제공되는 서비스들의 대부분은 대기업, 금융권 중심의 유통구조를 기반으로 형성되어있어 중소 소상공인이 당면한 문제점인 채널확산 및 개선, 신규 유통채널을 발굴, O2O마케팅전략 모색이 매우 중요한 과제라 할 수 있다. 따라서 본 연구에서는 스마트컨슈머의 니즈를 반영한 누구나 스마트커머스 시장에 진입할 수 있는 유통채널을 개선하고 이를 통해 중소 소상공인을 위한 비지니스플랫폼을 통하여 전략적이고 나아가 지속가능한 상생형 시장을 형성하여 '창조경제' 성장의 원동력이 될 수 있는 부가가치를 창출하는데 의의를 두고자 한다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2019년도 학술발표회
• /
• pp.160-160
• /
• 2019

Water is a limited source that needs to be properly managed and distributed to the ever-growing population of the world. Rapid urbanization and development have increased the overall water demand of the world drastically. However, there is loss of billions of liters of water every year due to leakages in water distribution systems. Such water loss means significant financial loss for the utilities as well. World bank estimates a loss of $14 billion annually from wasted water. To address these issues and for the development of efficient and reliable leakage management techniques, high efforts have been made by the researchers and engineers. Over the past decade, various techniques and technologies have been developed for leakage management and leak detection. These include ideas such as pressure management in water distribution networks, use of Advanced Metering Infrastructure, use of machine learning algorithms, etc. For leakage detection, techniques such as acoustic technique, and in recent yeats transient test-based techniques have become popular. Smart Water Grid uses two-way real time network monitoring by utilizing sensors and devices in the water distribution system. Hence, valuable real time data of the water distribution network can be collected. Best results and outcomes may be produced by proper utilization of the collected data in unison with advanced detection and management techniques. Long term reduction in Non Revenue Water can be achieved by detecting, localizing and repairing leakages as quickly and as efficiently as possible. However, there are still numerous challenges to be met and future research works to be conducted in this field.

• 디지털융복합연구
• /
• 제17권2호
• /
• pp.59-71
• /
• 2019

본 연구는 4차 산업혁명 시대에 스마트 유통물류센터 구축 요인을 파악하고, 요인별 중요도를 산출하는 것을 연구의 목적으로 한다. 연구 방법론은 전문가의 지식을 효과적으로 추출할 수 있는 CFPR(Consistent Fuzzy Preference Relations)법을 사용하였다. 연구결과, 대요인(Principle factors)에 "서비스"가 0.271로 가장 우선적으로 고려해야 하는 요인으로 분석되었고, 다음으로는 인프라(0.254), 정보시스템(0.247), 장비(0.228)순으로 나타났다. 한편, 세부 요인별(Detailed factors)로 보면 "신뢰성"요인의 중요도가 0.091로 가장 높게 나타났으며, 이어 "정보시스템의 가시성"(0.076), "인프라의 공간고도화"(0.075), "입지"(0.074) 그리고 "서비스의 만족도"(0.073) 순으로 높게 평가되었다. 본 연구는 스마트 유통물류센터에 대한 구축방향을 제시하였다는 점에서 시사점을 갖는다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제9권8호
• /
• pp.2894-2909
• /
• 2015

As the number of mobile devices such as smart phones and tablets explodes, the need for new services or applications is also rapidly increasing. Smart class application is one of the emerging applications, in which most of contents are distributed to all members of a class simultaneously. It is highly required to select relay nodes to cover shadow area of radio as well as extend coverage, but existing algorithms in a smart class environment suffer from high control packet overhead and delay for exchanging topology information among all pairs of nodes to select relay nodes. In addition, the relay selection procedure should be repeated in order to adapt to the dynamic topology changes caused by link status changes or device's movement. This paper proposes the learning based relay selection algorithm to overcome aforementioned problems. The key idea is that every node keeps track of its relay quality in a fully distributed manner, where RQI (Relay Quality Indicator) is newly defined to measure both the ability of receiving packets from content source and the ability of successfully relaying them to successors. The RQI of each node is updated whenever it receives or relays broadcast packet, and the node having the higher RQI is selected as a relay node in a distributed and run-time manner. Thus, the proposed algorithm not only removes the overhead for obtaining prior knowledge to select relay nodes, but also provides the adaptability to the dynamic topology changes. The network simulation and experimental results prove that the proposed algorithm provides efficient and reliable content distribution to all members in a smart class as well adaptability against network dynamics.

• Journal of Electrical Engineering and Technology
• /
• 제10권3호
• /
• pp.804-811
• /
• 2015

The presence of responsive loads in the promising active distribution networks (ADNs) would definitely affect the power system problems such as distributed generations (DGs) studies. Hence, an optimal procedure is proposed herein which takes into account the simultaneous placement of DGs and smart meters (SMs) in ADNs. SMs are taken into consideration for the sake of successful implementing of demand response programs (DRPs) such as direct load control (DLC) with end-side consumers. Seeking to power loss minimization, the optimization procedure is tackled with genetic algorithm (GA) and tested thoroughly on 69-bus distribution test system. Different scenarios including variations in the number of DG units, adaptive power factor (APF) mode for DGs to support reactive power, and individual or simultaneous placing of DGs and SMs have been established and interrogated in depth. The obtained results certify the considerable effect of DRPs and APF mode in determining the optimal size and site of DGs to be connected in ADN resulting to the lowest value of power losses as well.

• KEPCO Journal on Electric Power and Energy
• /
• 제3권1호
• /
• pp.1-7
• /
• 2017

스마트 그리드에서 전력 정보의 수집 및 분석은 필수적이다. 수집된 전력 정보는 발전 및 배전 등 전력을 효율적으로 이용하는데 사용될 수 있다. 전력 정보 수집을 위해서는 유무선 망을 통한 스마트 미터의 통신이 중요한 역할을 한다. 현재, 세계 여러 나라들은 수많은 스마트 미터의 전력 정보 수집을 위해서 스마트 미터 통신을 위한 국제 표준 혹은 각 국가의 고유한 표준을 정립하고 있는 중이다. 따라서, 이 논문은 스마트 미터 관련 논문 및 자료들을 조사하여 스마트 미터 통신을 위한 국제 및 여러 국가별 표준에 대해 요약한다.

• 전자통신동향분석
• /
• 제35권5호
• /
• pp.134-138
• /
• 2020

Blockchain is an enabling technology for managing data with high trust and transparency among connected computers. Blockchain emerged with the advent of the Bitcoin cryptocurrency, and then, evolved as general-purpose platforms such as Ethereum, EOS, R3 Corda, and IBM Hyperledger Fabric. The application of blockchain covers a broad range of areas such as fintech, decentralized identity, distribution, real estate trading, games, and drone air traffic management. Smart contracts are indispensable for constructing blockchain services. This survey classifies smart contract languages by their features and shows their differences from existing general-purpose programming languages.

• International Journal of Internet, Broadcasting and Communication
• /
• 제14권3호
• /
• pp.91-100
• /
• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.