• Proceedings of the Korean Information Science Society Conference
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• 2003.10c
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• pp.250-252
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• 2003

휴대폰, PDA 등의 대중화에 따라 원격에서 영상을 통해 대상의 상태를 확인하고자 하는 욕구가 증가하였고, 웹 카메라의 보급에 의한 영상 멀티미디어 기술의 대중화는 소프트웨어적인 영상 처리가 가능한 홈 원격화상 감시 솔루션의 개발을 가능하게 하였다. 기존의 화상 전송 시스템은 설치되어 있는 모든 카메라의 동화상을 처리하여 전송함으로써 시스템의 자원을 소모하였고, 모바일 기기에서의 화상 재생에 대한 고려가 되어있지 않았으며, 카메라 수의 확장이 어려웠다. 본 논문에서는 이에 따른 해결 방안으로 클라이언트에서의 동화상 재생에 필요한 웹 카메라를 선택하여 동화상의 처리 및 전송을 함으로써 시스템의 자원 소모를 줄일 수 있고, 모바일 기기에서의 동화상 재생에 최적화된 화질의 화상을 전송할 수 있으며, 버퍼 사용의 최소화로 실시간 전송 및 재생이 가능한 실시간 화상 전송 서버를 설계 및 구현하였다. 구현된 시스템은 가정. 학교와 같은 특정 장소의 영상 감시와 산업용 기기인 통합 전력 감시 시스템. 분산 제어 시스템 등에 적용할 수 있다.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.46 no.1
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• pp.10-23
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• 2009

In this paper we propose a novel mobile terminal software architecture supporting energy efficient handover operation in heterogeneous networks. Since the legacy proposals for L3 handover are mostly dependent on IETF Mobile IP which has some problems in movement detection mechanism and no considerations on nested heterogeneous network environment as a result they make serious overload on networks and terminals by performing unnecessary handover in such network environments. The proposed architecture has terminal-oriented network selection and switching architecture where a mobile terminal periodically monitors network status and selects the optimum network, and reduces energy consumption by making L3 handover of Mobile IP to the finally selected network. The network selection method first picks up some candidate networks by considering a terminal speed and power consumption estimation, and determines the final target handover network among the candidates after evaluating multiple factors including QoS required by a terminal, network status, user preference and terminal battery status. Finally we verify the functionality and performance of the energy efficient vertical handover architecture by means of adopting it into a real mobile terminal.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.36C no.12
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• pp.11-19
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• 1999

Fractal image compression algorithm has been studied mostly not in the view of hardware but software. However, a general processor by software can't decode fractal compressed images in real-time. Therefore, it is necessary that we develop a fast dedicated hardware. However, design examples of dedicated hardware are very rare. In this paper, we designed a quadtree fractal-based compressed image decoder which can decode $256{\times}256$ gray-scale images in real-time and used two power-down methods. The first is a hardware-optimized simple post-processing, whose role is to remove block effect appeared after reconstruction, and which is easier to be implemented in hardware than non-2' exponents weighted average method used in conventional software implementation, lessens costs, and accelerates post-processing speed by about 69%. Therefore, we can expect that the method dissipates low power and low energy. The second is to design a power dissipation in the multiplier can be reduced by about 28% with respect to a general array multiplier which is known efficient for low power design in the size of 8 bits or smaller. Using the above two power-down methods, we designed decoder's core block in 3.3V, 1 poly 3 metal, $0.6{\mu}m$ CMOS technology.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.358-370
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• 2007

Software simulations have been widely used for the design and application development of a wireless sensor network that is an infrastructure of ubiquitous computing. In this study, we develop a sensor network simulator that can verify the behavior of sensor network applications, estimate execution time and power consumption, and simulate a large-scale sensor network. To implement the simulator, we use an instruction-level parallel discrete-event simulation method. Instruction-level simulation uses executable images loaded into a real sensor board as workload, such that it results in the high degree of details. Parallel simulation makes simulation of a large-scale sensor network possible by distributing workload into multiple computers. The simulator can predict the amount of power consumption based on operating time of modules in a sensor node and counting the number of executed instructions by kind. Also it can simulate ubiquitous applications with various scenarios and debug programs. Instruction traces used as workload for simulations are executable images produced by the cross-compiler for ATmega128L microcontroller.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.1
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• pp.57-64
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• 2015

Activity recognition technology is gaining attention because it can provide useful information follow user's situation. In research of activity recognition before smartphone's dissemination, we had to infer user's activity by using independent sensor. But now, with development of IT industry, we can infer user's activity by using inner sensor of smartphone. So, more animated research of activity recognition is being implemented now. By applying activity recognition system, we can develop service like recommending application according to user's preference or providing information of route. Some previous activity recognition systems have a defect using up too much energy, because they use GPS sensor. On the other hand, activity recognition system which Google released recently (Google Activity Recognition) needs only a few power because it use 'Network Provider' instead of GPS. Thus it is suitable to smartphone application system. But through a result from testing performance of Google Activity Recognition, we found that is difficult to getting user's exact activity because of unnecessary activity element and some wrong recognition. So, in this paper, we describe problems of Google Activity Recognition and propose AGAR(Advanced Google Activity Recognition) applied method to improve accuracy level because we need more exact activity recognition for new service based on activity recognition. Also to appraise value of AGAR, we compare performance of other activity recognition systems and ours and explain an applied possibility of AGAR by developing exemplary program.

• Journal of the Korea Society for Simulation
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• v.15 no.1
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• pp.35-42
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• 2006

Sensor network, that is an infrastructure of ubiquitous computing, consists of a number of sensor nodes of which hardware is very small. The network topology and routing scheme of the network should be determined according to its purpose, and its hardware and software may have to be changed as needed from time to time. Thus, the sensor network simulator being capable of verifying its behavior and estimating performance is required for better design. Sensor network simulators currently existing have been developed for specific hardwares or operating systems, so that they can only be used for such systems and do not provide any means to estimate the amount of power consumption and program execution time which are major issues for system design. In this study, we develop the sensor network simulator that can be used to design and verify various sensor networks without regarding to types of applications or operating systems, and also has the capability of predicting the amount of power consumption and program execution time. For this purpose, the simulator is developed by using machine instruction-level discrete-event simulation scheme. As a result, the simulator can be used to analyze program execution timings and related system behaviors in the actual sensor nodes in detail. Instruction traces used as workload for simulations are executable images produced by the cross-compiler for ATmega128L microcontroller.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11a
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• pp.937-939
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• 2005

본 논문에서는 임베디드 프로세서인 ATmega128과 W3100A 이더넷 칩을 이용하여 범용 웹 모니터링 시스템을 구현하였다. 카메라를 이용한 동영상 오디오, RS-422 통신, 디지털/아날로그 신호의 입출력 등 다양한 제어 모니터링 정보를 통합하여 범용으로 사용할 수 있고, 소형, 저가, 저전력 소모가 가능하도록 설계, 구현하였다. 클라이언트 프로그램은 Java Applet으로 개발 하여 별도의 소프트웨어 설치 없이 웹브라우저를 통하여 접속되고, 원격지의 영상 및 각종 기기들의 상태를 실시간으로 모니터링하여 GUI기반의 각종 메뉴를 사용하여 원격 시스템을 편리하게 제어 할 수 있다.

• Proceedings of the KIEE Conference
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• 2008.10c
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• pp.151-153
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• 2008

DC 마이크로그리드는 태양광과 연료전지와 같은 DC 출력의 분산전원, 풍력이나 가스엔진과 같은 AC 출력의 분산전원이 이차전지나 수퍼커패시터와 같은 에너지 저장장치와 직류로 결합되어 있는 구조로, 최근 급증하고 있는 디지털부하에 고품질, 고신뢰도 전력을 공급하는 새로운 직류배전시스템이다. 본 연구에서는, 먼저 DC 마이크로그리드의 한 시스템 구성을 가정하고, 이들 분산전원과 에너지저장의 컨버터를 제어하는 기법을 제안하였다. 또한 PSCAD/EMTDC 소프트웨어를 사용하여 각각의 분산전원의 세부모델을 구현하고, 이를 DC 마이크로그리드로 구성한 후 분산전원의 생산량, 에너지저장의 저장량, 부하의 소모량, 연계 계통의 공급량을 타당한 시나리오로 가정하여 전체 마이크로그리드의 동작을 분석하였다.

• Information and Communications Magazine
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• v.30 no.12
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• pp.83-89
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• 2013

본고에서는 차세대 무선 네트워크의 특징인 네트워크 초고밀화 (hyper-densification)와 네트워크 복잡도 증가를 살펴보고, 확장 가능한 (scalable) 무선 네트워크 설계 기술의 필요성이 증대하고 있음을 살펴본다. 획일적인 프로토콜 및 기능 규격으로는 확장 가능하고 주변환경의 변화에 적응적으로 최적화할 수 있는 네트워크를 구축하기 어려우므로, 3GPP 등의 무선 표준에서도 지능적인 소프트웨어를 통한 구현적 최적화를 강화하는 경향이 증가하고 있음을 살펴본다. 이를 위하여 지능적 적응최적화 프레임워크 개발에 대한 관심이 높아지고 있다. 각 통신 노드들이 다양한 정보를 수집하고 다른 통신 노드들과 필요에 따라 서로 통신 및 협력하며 각자의 정책 (policy)들을 적응적으로 최적화하는 방안이 고려되어야 할 것이다. 특히, 다양한 이론적인 도구들이 평가 되어야 하고, 각 네트워크 성능 지표별로 복수개의 이론적 도구들이 경쟁하며 발전할 것으로 예상된다. 3GPP 표준의 SON (Self-Optimizing Network) 기술들과 전력 소모 최적화 등은 이러한 프레임워크의 매우 적절한 적용 분야가 될 수 있을 것으로 기대된다. 게임 이론을 포함한 몇 가지 가능한 이론적 도구들의 무선 네트워크 활용 예들을 살펴본다.

• Smart Media Journal
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• v.1 no.4
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• pp.44-51
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• 2012

A software platform for the next-generation, smart user-interface of mobile devices is described as in this paper. The proposed platform is developed to adapt new devices that may appear in the future through extending the Android platform. Dynamic loading function of software module is developed in order to download and install new software modules for the new devices. Also, platform technology for utilizing external devices to improve quality of service and dynamic switching of wireless interface to reduce power consumption of platform are developed.