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Jinsung Byun,Sehyun Park IEEE 2011 IEEE transactions on consumer electronics Vol.57 No.1
<P>Recent advances in ubiquitous technologies facilitate context-aware systems which can offer situation-based services. Wireless sensor networks (WSNs) have become increasingly important in recent years due to their ability to monitor and manage situational information for various intelligent services in ubiquitous environments. However, existing energy management systems are not effectively implemented in home and building environments due to their architectural limitations, such as static system architecture and a finite battery lifetime. Therefore, in this paper, we propose a Self-adapting intelligent system used for providing building control and energy saving services in buildings. Our system consists of a gateway (selfadapting intelligent gateway) and a sensor (self-adapting intelligent sensor). In addition, we also propose an energy-efficiency self-clustering sensor network (ESSN) and a node type indicator based routing (NTIR) protocol that considers the requirements of WSNs, such as network lifetime and system resource management. In order to verify the efficiency of our system, we implemented our system in real test bed and conducted experiments. The results show that autonomous power saving using our system is approximately 16-24% depending on the number of SIS.</P>
Jinsung Byun,Sunghoi Park,Byeongkwan Kang,Insung Hong,Sehyun Park IEEE 2013 IEEE transactions on consumer electronics Vol.59 No.3
<P>Energy saving has attracted great attention as a global issue because of recent environmental problems. As a part of energy saving efforts, governments are operating policies that encourage the distribution of energy saving systems. Also, individual households are voluntarily installing energy saving systems to reduce electric power consumption. However, due to fixed system architecture, the existing systems have a disadvantage, lacking in scalability and usability. In addition, the existing systems bring up immense inconvenience as it returns to standby mode after automatic standby power cut-off. Therefore, we propose an intelligent energy saving system to solve these problems. The proposed system controls the power based on the hierarchical relationship among home appliances, along with the relationship between user activity and home appliances for standby power reduction. We designed and implemented the proposed system, deployed it in the test bed, and measured the total power consumption to verify the system performance. The proposed system reduces total power consumption up to 10.5%.</P>
Intelligent household LED lighting system considering energy efficiency and user satisfaction
Jinsung Byun,Insung Hong,Byoungjoo Lee,Sehyun Park IEEE 2013 IEEE TRANSACTIONS ON CONSUMER ELECTRONICS - Vol.59 No.1
<P>Saving energy has become one of the most important issues these days. The most waste of energy is caused by the inefficient use of the consumer electronics. Particularly, a light accounts for a great part of the total energy consumption. Various light control systems are introduced in current markets, because the installed lighting systems are outdated and energy-inefficient. However, due to architectural limitations, the existing light control systems cannot be successfully applied to home and office buildings. Therefore, this paper proposes an intelligent household LED lighting system considering energy efficiency and user satisfaction. The proposed system utilizes multi sensors and wireless communication technology in order to control an LED light according to the user's state and the surroundings. The proposed LED lighting system can autonomously adjust the minimum light intensity value to enhance both energy efficiency and user satisfaction. We designed and implemented the proposed system in the test bed and measured total power consumption to verify the performance. The proposed LED lighting system reduces total power consumption of the test bed up to 21.9%<SUP>1</SUP>.</P>
Jinsung Byun,Insung Hong,Byeongkwan Kang,Sehyun Park IEEE 2011 IEEE transactions on consumer electronics Vol.57 No.2
<P>Emerging green IT and smart grid technologies have changed electric power infrastructure more efficiently. These technologies enable a power system operator and a consumer to improve energy efficiency and reduce greenhouse gas emissions by optimizing energy distribution and management. There are many studies of these topics with the trend of green IT and smart grid technology. However, existing systems are still not effectively implemented in home and building because of their architectural limitations. Therefore, in this paper, we propose a smart energy distribution and management system (SEDMS) that operates through interaction between a smart energy distribution system and a smart monitoring and control system. Proposed system monitors information about power consumption, a user¿s situation and surroundings as well as controls appliances using dynamic patterns. Because SEDMS is connected with the existing power grid and with the newrenewable energy system, we consider integration of new renewable energy system through electric power control. We implemented proposed system in test-bed and carry out some experiments. The results show that a reduction of the service response time and the power consumption are approximately 45.6% and 9-17% respectively.</P>
Jinsung Byun,Insung Hong,Sehyun Park IEEE 2012 IEEE transactions on consumer electronics Vol.58 No.4
<P>Recent advances in micro-grid and distributed renewable energy have facilitated more efficient home energy management systems. However, due to characteristics of renewable energy such as intermittent energy generation, home energy management systems are inefficient and the recent systems therefore cannot be successfully applied to existing home. Therefore, this paper proposes intelligent cloud home energy management system (iCHEMS), considering these issues. iCHEMS assigns dynamic priority to a household appliance according to the type of appliance and its current status. In accordance with the assigned priority, the use of household appliances is scheduled considering renewable energy capability. We implemented iCHEMS in the test bed and conducted an experiment to verify the efficiency of the proposed system. The results show that the proposed system reduces the average total power consumption by up to 7.3 percent.</P>
An intelligent self-adjusting sensor for smart home services based on ZigBee communications
Jinsung Byun,Boungju Jeon,Junyoung Noh,Youngil Kim,Sehyun Park IEEE 2012 IEEE transactions on consumer electronics Vol.58 No.3
<P>Wireless sensor networks (WSNs) have been becoming increasingly essential in recent years because of their ability to manage real-time situational information for various novel services. Recently, the scope of WSN technologies has been expanded to places such as the home, in order to provide the residents with various intelligent services, such as home automation services or home energy management services. However, due to their architectural constraints, such as the trade-off between the performance and cost, WSNs are not effectively implemented in home environments. Therefore, this paper proposes a ZigBee-based intelligent self-adjusting sensor (ZiSAS) in order to address these concerns. This paper presents a situation-based selfadjusting scheme, an event-based self-adjusting sensor network, and hardware and middleware implementation. We also introduce some smart home services using the proposed system. We implemented our system in real test bed and conducted an experiment. Our experiment shows that we reduce the system's energy consumption.</P>
An IoT-Based Home Energy Management System over Dynamic Home Area Networks
Kim, Jongbae,Byun, Jinsung,Jeong, Daebeom,Choi, Myeong-in,Kang, Byeongkwan,Park, Sehyun SAGE Publications 2015 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWOR Vol.2015 No.-
<P>A smart grid (SG) has attracted great attention due to recent environmental problems. SG technologies enable users, such as energy system operators and consumers, to reduce energy consumption and the emission of greenhouse gases, by changing energy infrastructure more efficiently. As a part of the SG, home energy management system (HEMS) has become increasingly important, because energy consumption of a residential sector accounts for a significant amount of total energy consumption. However, a conventional HEMS has some architectural limitations on scalability, reusability, and interoperability. Furthermore, the cost of implementation of a HEMS is very expensive, which leads to the disturbance of the spread of a HEMS. Therefore, this paper proposes an Internet of Things- (IoT-) based HEMS with lightweight photovoltaic (PV) system over dynamic home area networks (DHANs), which enables the construction of a HEMS to be more scalable, reusable, and interoperable. We suggest the techniques for reducing the cost of the HEMS with various perspectives on system, network, and middleware architecture. We designed and implemented the proposed HEMS and conducted a experiment to verify the performance of the proposed system.</P>
Zone-aware service system with nomadic resources for cost-effective pervasive infrastructure
Daebeom Jeong,Jinsung Byun,Sehyun Park IEEE 2014 IEEE transactions on consumer electronics Vol.60 No.3
<P>The context-aware service system (CASS) for smart home services has received considerable attention due to advances made in context-awareness technologies. In recent years, various context-aware consumer electronics for intelligent and personalized user-centric services have been introduced. However, the conventional CASS has architectural limitations, including low availability, low interoperability, and low scalability. For example, it is difficult to modify or update the context-aware service (CAS) infrastructure once it has been built. Therefore, this paper proposes a zone-aware service system (ZASS) for cost-effective pervasive infrastructure. The main component of the ZASS is a zone-aware service agent (ZASA) which utilizes the user's nomadic resource as a sensor or gateway. The term `user's nomadic resource' refers to the user's hand-held device, which has a sensing or networking capability, such as a smartphone, smart watch, and mobile sensor, etc. As the utilization of the user's nomadic resource, the ZASS can be cost-effectively implemented compared with the conventional CASS. The performance of the proposed system is discussed via a simple smart home service scenario. The experimental result showed that the proposed system can reduce the power consumption of an air conditioner by 20.7%.</P>