• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.661-663
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• 2014

Lighting that installed in large buildings detects a movement of passer using human-detecting sensor or occupancy sensor. It can turn on lighting automatically using sensor when there is any movement and turn off when there is no movement to reduce unnecessary power consumption. However, there is a problem of malfunction due to improper location of the sensor. Also the case of passage, even after passing through the passage, lighting is turned on for a long time. It does not reduce the power consumption efficiently. In this paper, we propose a method to control lighting by estimating the position of the passer. According to the result simulated in one passage, it is confirmed that the time of turning on the lighting is reduced about 7 minute compared to existing methods.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.33-46
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• 2019

The purpose of this study is to analyze how China, which is the largest consumption area of Hallyu broadcasting contents but the most illegal copy market infringe the rights of domestic broadcasters and what of the policy of regulatory authority in this illegal market. To this end, this study investigate the most common types of paths and methods of copyright infringement in the Internet and mobile multi-platform environments, and investigated how broadcasters responded to them with in-depth interviews. As a result of research, the most frequent type of infringement of rights of reproduction were to use links with web and apps and TV pads. In this regard, it was not easy to solve the problem of illegal copy in China in the way that domestic companies responded to individually, and it was very rare that the lawsuit was filed. In the future, the government will need to provide side support for Korean Wave broadcasting contents through steady monitoring as well as market research for eradication of illegal copy.

• Journal of IKEEE
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• v.23 no.1
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• pp.134-142
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• 2019

As the development of internet of energy (IoE) technologies and spread of various electronic devices have diversified patterns of energy consumption, the reliability of demand prediction has decreased, causing problems in optimization of power generation and stabilization of power supply. In this study, we propose a deep learning method, 1-Dimention-Convolution and Bidirectional Long Short-Term Memory (1D-ConvBLSTM), that combines a convolution neural network (CNN) and a Bidirectional Long Short-Term Memory(BLSTM) for highly reliable demand forecasting by effectively extracting the energy consumption pattern. In experimental results, the demand is predicted with the proposed deep learning method for various number of learning iterations and feature maps, and it is verified that the test data is predicted with a small number of iterations.

• Smart Media Journal
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• v.8 no.1
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• pp.43-50
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• 2019

As numerous devices are connected through a wireless network, there exist many studies conducted to efficiently connect the devices. While earlier studies often use clustering for efficient device management, there is a load-intensive cluster node which may lead the entire network to be unstable. In order to solve this problem, we propose a scheduling model for centralized unequal chain clustering for efficient management of sensor nodes. For the cluster configuration, this study is based on the cluster head range and the distance to the base station(BS). The main vector projection technique is used to construct clustering with concentricity where the positions of the base stations are not the same. We utilize a multiple radio access interface, multiple-input multiple-output (MIMO), for data transmission. Experiments show that cluster head energy consumption is reduced and network lifetime is improved.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.136-136
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• 2016

현재 전 세계적으로 지속적인 인구증가와 도시화 및 산업화 영향으로 물, 에너지, 식량의 수요증가와 공급부족이 예상되는 가운데, 급격한 기후변화와 자원고갈로 인해 이는 더욱 가속화되고 심화될 위기에 직면하였다. 특히 물의 수요는 증가하나 공급은 제한되어 있어 지속가능한 인류의 생존을 위하여 인간에게 꼭 필요한 에너지와 식량의 문제를 물을 중심으로 상관성을 찾고 효율적인 물활용 방법을 개발하고 정책화할 필요가 있다. 세계 물공급량 중 농업으로는 70%, 에너지로는 15%로 소비되고 있다. 또한 유럽과 미국은 발전용 냉각수로 각각 담수총량의 43%, 50%를 사용하고 있는 등, 세계는 물, 식량 그리고 에너지 수급의 불균형이 심화되고 상호 위기가 증폭되고 있다. 향후 인간의 삶에 절대적으로 필요한 세가지 자원이 복합적으로 연계되어 상호 위기가 증폭될 수 있는 실정이나, 우리나라는 개별자원에 대한 관리 및 운영기술은 상당한 수준이지만 아직까지 연계성을 고려하여 자원간의 효율성을 찾는 물-에너지-식량 연계(Water-Energy-Food Nexus, WEF Nexus)에 대한 관리 및 기술은 부족한 실정이다. 국제적으로 세자원의 연계상황이 선진국과 개도국간에 편차가 크고, 사막지대 등 자연조건이 열악한 지역에서 자원들간의 위기 연계성이 높은 상황이므로 우리나라도 물-에너지-식량의 연계위기 상황을 정확히 파악하고 미래 환경변화에 대한 대응방안 수립이 필요하나, 현재 국내 물관리에 있어 저수지나 수리시설 관리가 제대로 실행되지 못하고 있어 이를 방치할 경우 중장기적으로 식량 및 에너지생산에 있어 부족이 우려되고 있다. 또한 부처간의 행정적인 간격으로 물-에너지-식량의 연계성 연구 및 정책수립에 있어서 자료 등이 절대적으로 부족한 실정이기 때문에 체계적으로 빅데이터 기반의 DB구축 및 인벤토리 정의 등도 현재시점에서는 절대적으로 필요하다고 할 수 있다. WEF Nexus를 실현하기 위해서는 각 자원간의 효율성을 극대화하여야 한다. 과거에는 개별적 자원의 확보를 추구했다면 이제부터는 각 자원간의 상생을 통한 연계성을 확보하여 서로간의 자원 확보를 고려하여 개발하여야 한다. 이를 위해 현재의 자원확보에 대한 문제점들을 고려하여, 상호 연계를 통한 효율성을 확보하고 그 효율성이 각 자원에 영향을 주어 시너지효과를 발생시킬 수 있는 방안으로 진행되어야 할 것으로 판단된다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.31-36
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• 2021

Recently, automobile air conditioning systems have applied an alternative refrigerant that can replace the high GWP refrigerant R134a due to the global warming problem. This study simulated the performance of an automobile climate control system with an internal heat exchanger and TXV. Refrigerant R1234yf was applied as the working fluid. Amesim, a commercial software program, was used to model the main components of the compressor, condenser, TXV, evaporator, and internal heat exchanger. As the outside temperature increased from 30℃ to 40℃, the cooling capacity of the system decreased by 3.1%, and the power consumption of the compressor increased by 17.1%. In addition, The performance characteristics of the refrigeration cycle were simulated by increasing the fin pitch of the condenser from 0.8 mm to 1.4 mm. When the fin pitch was larger than 1.0 mm, the condenser capacity decreased, and the system COP was lowered by 5.9%. When the fin pitch of the condenser was 0.8 mm, which was smaller than 1.0 mm, there was no significant change in the system performance. Hence, the optimal performance was observed at a fin pitch of 1.0 mm.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.7-14
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• 2021

The emergence of the automated smart grid has become an essential device for responding to these problems and is bringing progress toward a smart grid-based society. Smart grid is a new paradigm that enables two-way communication between electricity suppliers and consumers. Smart grids have emerged due to engineers' initiatives to make the power grid more stable, reliable, efficient and safe. Smart grids create opportunities for electricity consumers to play a greater role in electricity use and motivate them to use electricity wisely and efficiently. Therefore, this study focuses on power demand management through machine learning. In relation to demand forecasting using machine learning, various machine learning models are currently introduced and applied, and a systematic approach is required. In particular, the GP learning model has advantages over other learning models in terms of general consumption prediction and data visualization, but is strongly influenced by data independence when it comes to prediction of smart meter data.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.5
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• pp.3-10
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• 2004

A Wireless Lan has an importance of access control, because we can use wireless Internet via AP(Access Point). Moreover, to use wireless LAN, we will go through authentication process of EAP. DoS(Denial of Service) attack is one of the fatal attack about these AP access and authentication process. That is, if malicious attacker keeps away access of AP or consumes memory of server and calculation ability of CPU and etc. compulsorily in authentication process, legal user can't get any services. In this paper, we presents the way of protection against the each attack that is classified into access control, allocation of resource, attack on authentication protocol. The first thing, attack to access control, is improved by pre-verification and the parameter of security level. The second, attack of allocation of resource, is done by partial stateless protocol. And the weak of protocol is done by time-stamp and parameter of access limitation.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.20 no.3
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• pp.113-120
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• 2010

Content security and privacy protection are important issues in emerging network-based video surveillance applications. Especially, satisfying both real-time constraint and energy efficiency with embedded system-based video sensors is challenging since the battery-operated sensors need to compress and protect video content in real-time. In this paper, we propose a multicore-based solution to compress and protect video surveillance data, and evaluate the effectiveness of the solution in terms of both real-time constraint and energy efficiency. Based on the experimental results with MPEG2/AES software, we confirm that the multicore-based solution can improve the energy efficiency of a singlecore-based solution by a factor of 30 under the real-time constraint.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.109-118
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• 2021

Different from previous studies, this study focuses on accommodation providers' personalization services and platform convenience variables, identifying how these prior factors affect perceived value and trust in accommodation services on a shared homestay platform, and how consumers' innovation plays a role in the process. Through this, we would like to identify the mechanism of interaction between accommodation service providers and consumers mediated by the shared homestay platform and present implications for a more customer-centered platform operation strategy. This study has an extended meaning for prior research, empirically confirming that the increase in personalized offline service quality of personalized hosts in shared economic models has a positive impact on perceived value and platform trust of consumers. At the same time, we confirm that under the shared economy model, consumers' innovation propensity plays an important positive role in regulating their perceived value aspects as well as their confidence in the platform.