• Proceedings of the Korea Society of Design Studies Conference
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• 2003.05a
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• pp.268-269
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• 2003

• Proceedings of the IEEK Conference
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• 2001.06a
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• pp.321-324
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• 2001

The multiple home PC, and home computing environment has undergone a significant evolution. And Internet explosion needs an integrated networking infrastructure within the home. Home networking is a concept that applies to the networking and application technologies to increase the comfort and ensure sharing and management of home resources as well as the provision of new, enhanced services. This paper proposes a Unification Protocol Architecture for home network. This Unification Protocol Architecture expect to a reference model in home network and to a foundation of the IIA (Internet Information Appliance) industry.

• Journal of Electrical Engineering and Technology
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• v.13 no.1
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• pp.68-77
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• 2018

Regarding demand response (DR) by residential users (R-users), the users try to reduce electricity costs by adjusting their power consumption in response to the time-varying price. However, their power consumption may be affected not only by the price, but also by user convenience for using appliances. This paper proposes a methodology for appliance scheduling (AS) that considers the user convenience based on historical data. The usage pattern for appliances is first modeled applying the copula function or clustering method to evaluate user convenience. As the modeling results, the comfort distribution or representative scenarios are obtained, and then used to formulate a discomfort index (DI) to assess the degree of the user convenience. An AS optimization problem is formulated in terms of cost and DI. In the case study, various AS tasks are performed depending on the weights for cost and DI. The results show that user convenience has significant impacts on AS. The proposed methodology can contribute to induce more DR participation from R-users by reflecting properly user convenience to AS problem.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2005.11a
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• pp.439-442
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• 2005

Generally, noise from a home appliance has been measured by overall sound pressure level or sound power level, dB. Customers evaluation, however, of this noise should be depend on the only overall level but also the sensory feeling, annoyance, unpleasure and so on. Moreover, in this sensory evaluation, irregular, time-varying and uneven sounds which are difficult to describe itself by overall level are more affectable. Unfortunately however the formal evaluation method for this kinds of noise is not determined yet. In this research, the evaluation method for harmonic noise, which is a major noise from home appliance and one of the unmeasurable sounds by overall level, is proposed to evaluate its acceptability based on the consumer's sense of hearing. The proposed approach could be applied to the other sound, which acoustical characteristics are similar to the tonal noise.

• Annual Conference of KIPS
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• 2001.04b
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• pp.833-836
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• 2001

본 논문은 LonWorks 네트워크를 이용한 원격 홈오토메이션 시스템에 대해서 설명한다. 최근 홈네트워킹 개념의 확산에 따라 다양한 정보가전 기술의 발전이 가속화 되고 있다. 또한, 다양한 정보 가전 기기를 연동하기 위한 다양한 매체(IEEE1394, USB, PLC, TP, IRDA, BLUETOOTH 등)가 제시되고 있고 이를 제어하기 위한 미들웨어(Jini, Havi, LonWorks 등)가 거론되고 있다. 이러한 환경에서 가능한 서비스를 미리 살펴보고 이를 구성하기 위한 기본적인 요소 기술의 필요성을 살펴본다. 본 논문에서 설계한 원격 홈오토메이션 시스템은 제어 미들웨어에서 표준이 되고 있는 LonWorks를 이용하여 인터넷에서 홈내부의 디바이스를 모니터링 가능하도록 구축하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.4
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• pp.7-15
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• 2010

Recently, there are many home network applications using the convergence between mobile platforms and home network system. As smart phones which are called small PC in the hand becoming popular, the development of home network application beyond the one of cellular phones is required. Android mobile platform of Google includes OS, middleware and primary applications. Also, in addition to smart phones, it can be mounted on various devices such as set-top box and household appliances. In this paper, home network services on smart phones of Android platform are designed and implemented. The services provide real-time monitoring information (temperature, humidity, real-time video) of rooms and appliance control in a house.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.4
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• pp.335-346
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• 2009

As the economy has grown and the main industry in Korea has been changed from secondary industry to tertiary industry, the importance of indoor environment has been a matter of common concern, in which one of the main concerns is to improve the indoor acoustic conditions. However, even though this is required more than before, there are no measures to protect the human being from the noise of electric home appliances. This is owing to the absence of the data about sound power level of electric home appliances. So, we investigate the sound power level of them and analyze the acoustical characteristics of each one. First, we tried to investigate the sound power measurement method of each electric home appliance. After it we test the sound power level of them. From the survey, we can know that the vacuum cleaner is the most noisy electric home appliance, and the refrigerator is the least noisy one. This results will help us predict the indoor noise level using the basic data of sound power level.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.87-106
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• 2024

Vehicle-to-Home (V2H) and Home Centralized Photovoltaic (HCPV) systems can address various energy storage issues and enhance demand response programs. Renewable energy, such as solar energy and wind turbines, address the energy gap. However, no energy management system is currently available to regulate the uncertainty of renewable energy sources, electric vehicles, and appliance consumption within a smart microgrid. Therefore, this study investigated the impact of solar photovoltaic (PV) panels, electric vehicles, and Micro-Grid (MG) storage on maximum solar radiation hours. Several Deep Learning (DL) algorithms were applied to account for the uncertainty. Moreover, a Reinforcement Learning HCPV (RL-HCPV) algorithm was created for efficient real-time energy scheduling decisions. The proposed algorithm managed the energy demand between PV solar energy generation and vehicle energy storage. RL-HCPV was modeled according to several constraints to meet household electricity demands in sunny and cloudy weather. Simulations demonstrated how the proposed RL-HCPV system could efficiently handle the demand response and how V2H can help to smooth the appliance load profile and reduce power consumption costs with sustainable power generation. The results demonstrated the advantages of utilizing RL and V2H as potential storage technology for smart buildings.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.159-162
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• 2003

In this paper, we present a middleware that using routing scheme that support easily for various type of network in a home network based heterogeneous network. The protocol presented in this paper, consist two layers that Network Adaptation Layer(NAL) to allow access varience networks and Network Interface Layer(NIL) to deal network dependent parts. The middleware presentedl in this paper, can easily send data to any digital appliance or receive data from any digital appliance by using our routing scheme.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1997.11a
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• pp.18-21
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• 1997

Intelligent control technologies (fuzzy logic, neural network, chaos, and genetic algorithm) have been a great deal of influences and impact, especially in home appliances industry. As a result, products that utilize these technologies are pouring into the market from just about every companies. These products are getting good responses from the consumers, because they offer convenience and amenities through the intelligent self-control. In this article, the functionality of the intelligent control technologies will be explained, and how they are being applied to the consumer products developed in Samsung Electronics Co.