Jinsung Byun

An intelligent self-adjusting sensor for smart home services based on ZigBee communications

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 systems energy consumption.

Development of a self-adapting intelligent system for building energy saving and context-aware smart services

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.

A smart energy distribution and management system for renewable energy distribution and context-aware services based on user patterns and load forecasting

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.

Intelligent household LED lighting system considering energy efficiency and user satisfaction

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 users 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%1.

Intelligent cloud home energy management system using household appliance priority based scheduling based on prediction of renewable energy capability

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.

Design and implementation of an intelligent energy saving system based on standby power reduction for a future zero-energy home environment

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%.

Cloud Computing-Based Building Energy Management System with ZigBee Sensor Network

As the Smart Grid is spreading, the importance of BEMS (Building Information Management System) is also increasing. For providing various and high quality services in the existing BEMS, each entity consisting of BEMS is improved. According to coverage area of a building, the number of the entity can be huge so it causes a burden of users. In this paper, we propose the Cloud computing-based BEMS. This system lessens a burden of each entity such as compute and storage resources, and the burden is taken by a centralized server, called System Manager in this paper. Therefore, every entitys performance is minimized, and quality of services maintains.

Degradation diagnosis system of photovoltaic panels with mobile application

Recently, the number of buildings and houses in which photovoltaic (PV) systems are installed has increased. However, an issue with the efficiency of the PV system and the degradation phenomenon has been revealed. Consumers who benefit from the PV system experience difficulties monitoring and controlling it because a PV diagnosis system is heavy and expensive to install at home. Furthermore, the existing diagnosis system is not coordinated with a home energy management system. In addition, the accurate performance evaluation of the PV system is required for energy management. Therefore, a new degradation diagnosis system for PV panels for household consumers is proposed in this paper. Additionally, a mobile-type home gateway that has various management applications is proposed. It is demonstrated that, with this mobile-type home gateway applied to the proposed system, consumers can monitor the degradation of the PV system, analyze the efficiency of the PV panels, and save energy at home by using a mobile-type home gateway.

Development of portable intelligent gateway system for ubiquitous entertainment and location-aware push services

Intelligent gateway systems have evolved to seamlessly offer location-aware and multimedia services, allowing multi users to roam among multi service domains. In the past decade intelligent gateways have been implemented to support context-aware multimedia services with network convergence and service reasoning mechanisms in multi domains. However, recent researches have to consider multiple events and service management according to the users movements and requirements. Therefore, we propose a Portable Intelligent Gateway System (PIGS) to offer seamless device-independent multimedia services and location-aware push services. Using heterogeneous network convergence and utilizing cooperation between other gateways, the PIGS interconnects users (user devices) who want to be offered multimedia services and Service Providers (SPs). Furthermore, our system dynamically offers differential services to multiple users with respect to the user, device and location characteristics. The PIGS also collects events using embedded sensors and generates events used for service configuration along with service predictions by using light-weight middleware. In this paper we implement real testbed, a house and a car, and verify the effectiveness of the service reconfiguration. The portable gateway structure using the PIGS achieves a 22% faster service response time in comparison to a fixed gateway-based structure.

An intelligent cloud-based energy management system using machine to machine communications in future energy environments

This paper proposes an intelligent cloud-based energy management system (iCEMS) using the M2M communications, considering the requirements of the future energy environment. We designed and implemented the iCEMS in the test bed. The proposed system reduces the power consumption of the test bed up to 22.5%.