• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권10호
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• pp.1862-1878
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• 2011

With the advances in wireless communication technology and the advent of smartphones, research on location-based services (LBSs) is being actively carried out. In particular, several spatial index methods have been proposed to provide efficient LBSs. However, finding an optimal indexing method that balances query performance and index size remains a challenge in the case of wireless environments that have limited channel bandwidths and device resources (computational power, memory, and battery power). Thus, mechanisms that make existing spatial indexing techniques more efficient and highly applicable in resource-limited environments should be studied. Bitmap-based Spatial Indexing (BSI) has been designed to support LBSs, especially in wireless broadcast environments. However, the access latency in BSI is extremely large because of the large size of the bitmap, and this may lead to increases in the search time. In this paper, we introduce a Selective Bitmap-based Spatial Indexing (SBSI) technique. Then, we propose an Adaptive Bitmap-based Spatial Indexing (ABSI) to improve the tuning time in the proposed SBSI scheme. The ABSI is applied to the distribution of geographical objects in a grid by using the Hilbert curve (HC). With the information in the ABSI, grid cells that have no objects placed, (i.e., 0-bit information in the spatial bitmap index) are not tuned during a search. This leads to an improvement in the tuning time on the client side. We have carried out a performance evaluation and demonstrated that our SBSI and ABSI techniques outperform the existing bitmap-based DSI (B DSI) technique.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권2호
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• pp.484-503
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• 2016

Mobile cloud computing has recently become a new paradigm for the utilization of a variety of shared mobile resources via wireless network environments. However, due to the inherent characteristics of mobile devices, a limited battery life, and a network access requirement, it is necessary for mobile servers to provide a dynamic approach for managing mobile resources efficiently in mobile cloud computing environments. Since on-demand job requests occur frequently and the number of mobile devices is drastically increased in mobile cloud computing environments, a different mobile resource management method is required to maximize the computational power. In this paper, we therefore propose a cooperative, mobile resource sharing method that considers both the inherent properties and the number of mobile devices in mobile cloud environments. The proposed method is composed of four main components: mobile resource monitor, job handler, resource handler, and results consolidator. In contrast with conventional mobile cloud computing, each mobile device under the proposed method can be either a service consumer or a service provider in the cloud. Even though each device is resource-poor when a job is processed independently, the computational power is dramatically increased under the proposed method, as the devices cooperate simultaneously for a job. Therefore, the mobile computing power throughput is dynamically increased, while the computation time for a given job is reduced. We conduct case-based experiments to validate the proposed method, whereby the feasibility of the method for the purpose of cooperative computation is shown.

• 전기학회논문지
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• 제67권8호
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• pp.1080-1088
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• 2018

General methods of controlling a drone are divided into manual control and automatic control, which means a drone moves along the route. In case of manual control, a man should be able to figure out the location and status of a drone and have a controller to control it remotely. When people control a drone, they collect information about the location and position of a drone with the eyes and have its internal information such as the battery voltage and atmospheric pressure delivered through telemetry. They make a decision about the movement of a drone based on the gathered information and control it with a radio device. The automatic control method of a drone finding its route itself is not much different from manual control by man. The information about the position of a drone is collected with the gyro and accelerator sensor, and the internal information is delivered to the CPU digitally. The location information of a drone is collected with GPS, atmospheric pressure sensors, camera sensors, and ultrasound sensors. This paper presents an investigation into drone control by a remote computer. Instead of using the automatic control function of a drone, this approach involves a computer observing a drone, determining its movement based on the observation results, and controlling it with a radio device. The computer with a Depth camera collects information, makes a decision, and controls a drone in a similar way to human beings, which makes it applicable to various fields. Its usability is enhanced further since it can control common commercial drones instead of specially manufactured drones for swarm flight. It can also be used to prevent drones clashing each other, control access to a drone, and control drones with no permit.

• 산업경영시스템학회지
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• 제41권3호
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• pp.138-144
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• 2018

Inventory inspection is an important task to eliminate the inconsistency between real assets and inventory management systems, and it is performed periodically at the site. In the case of a large-sized property, it is mainly managed in an outdoor workshop or a warehouse. However, due to the large area of the outdoor area, it is relatively difficult to identify the quantity and location of the property and is also vulnerable to theft. To solve this problem, we proposed a method and system for performing a warehouse inventory inspection using an unmanned aerial vehicle (UAV) and Bluetooth low energy (BLE) beacons. The proposed method has the following advantages. First of all, if we carry out inventory inspection by utilizing UAV, we can minimize user's effort compared to existing methods. The method of recognizing the asset by attaching the BLE beacon is more costly than using the existing RFID technology, but it is advantageous because the recognition distance is increased and the battery life of the tag is drastically increased. We also designed a BLE beacon reader for the system and implemented a prototype to show the feasibility of the proposed system. The prototype is based on Genuino 101, which is a kind of arduino, and adds HM-10 and Neo-6m modules to provide Bluetooth and GPS functions. The BLE beacon reader was tested in outdoor, and attached in drone. We also developed an inventory checking system based on the web to display results of inventory checking. The proposed approach enables the users to automate the operation of inventory checking on an outdoor warehouse.

• Bulletin of the Korean Chemical Society
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• 제32권3호
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• pp.921-926
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• 2011

This study investigates a root cause of the improved rate performance of $LiFePO_4$ after metal doping to Fesites. This is because the metal doped $LiFePO_4$/C maintains its initial capacity at higher C-rates than undoped one. Using $LiFePO_4$/C and doped $LiFe_{0.97}M_{0.03}PO_4$/C (M=$Al^{3+}$, $Cr^{3+}$, $Zr^{4+}$), which are synthesized by a mechanochemical process followed by one-step heat treatment, the Li content before and after chemical delithiation in the $LiFePO_4$/C and the binding energy are compared using atomic absorption spectroscopy (AAS) and X-ray photoelectron spectroscopy (XPS). The results from AAS and XPS indicate that the low Li content of the metal doped $LiFePO_4$/C after chemical delithiation is attributed to the low binding energy induced by weak Li-O interactions. The improved capacity retention of the doped $LiFePO_4$/C at high discharge rates is, therefore, achieved by relatively low binding energy between Li and O ions, which leads to fast Li diffusivity.

• 정보화연구
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• 제10권1호
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• pp.63-70
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• 2013

본 연구는 특허 선행기술 조사분석 및 서비스 전략에 대한 것으로, 주로 무선 충전기술 분야의 동향과 선행 특허를 조사하고 해당 기술을 스마트폰 및 비스마트폰, 기술 및 디자인 및 UX/UI, 각 무선 충전기술 등과 연계하여 사용하기 적합한 서비스 및 전략을 제시하는 것이다. 무선충전시장의 시장 전망은 꾸준히 상승하고 있으며, 최근의 경우 2010년 1억 2,390만 달러 수준에서 2011년 8억 8,580만 달러로 약 6배정도 성장하였으며, 2014년에는 180억 달러 규모에 이를 것으로 예상되고 있다. 이 기술분야에 대한 관심은 꾸준히 증가하고 있는 추세이며 관련 상품도 지속적으로 등장하고 있다. 따라서 전 세계적으로 무선 충전 기술을 활용할 수 있는 기틀이 마련되고 있으며, 이 기술을 응용한 서비스나 제품에 대한 개발 및 연구가 후속되려면 다양한 관심과 노력이 수반되어야 한다. 본 연구의 결과로는 무선 충전 기술관련 특허전략 및 특정 제품관련 특허 무효화 전략이나 라이센싱 혹은 권리화 전략이 가능하고, 또한 새로운 디자인 및 배터리 공유와 내구성 강화 등을 가능케 하는 신규 특허전략이 도출되었다.

• 전기학회논문지P
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• 제63권4호
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• pp.254-259
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• 2014

In this paper, we describe construction of a wind stabilization demo-site and effects of output power control of wind turbines for suppression of ramp rate using ESS (Energy Storage System). It is difficult to control the output power of distributed generator such as wind turbine which of variation is very large. If the large capacity wind farm be interconnected into power system may cause blackout due to Power Quality. For these reasons, the international standards such as Grid-Code is limited to less than 10 [%/min] of renewable energy ramp rate. The case of Korea, government actively conducts propagating large-scale renewable energy for green growth policy, to interconnecting more renewable energy into power system is necessary for stabilization technology. For these reasons, the POSCO consortium has constructed a wind stabilization demo-site that is configured as 500 [kWh] battery energy storage systems can output up to 3 [C-Rate] and two wind turbines rated 750 [kW]. In POSCO consortium, which implements various methods stabilizing output power of wind turbine such as smoothing, section firming and ramp control, we derive the results of long-term demonstration that can be controlled to satisfy to the international standard about ramp rate [%/kW] of wind turbine output power.

• 디지털융복합연구
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• 제17권12호
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• pp.203-210
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• 2019

오늘날 대부분의 자동차는 전자제어를 통하여 엔진의 상태를 제어하여 최적의 성능을 얻을 수 있도록 하고 있다. 본 연구는 캔통신을 이용하여 자동차의 엔진의 정보를 운전자에게 실시간으로 화면에 표시하여 고장진단과 최적의 자동차 상태를 유지하는 장치를 개발하였다. 이 시스템은 엔진에서 발생되는 정보를 OBD2 소켓을 통하여 엔진의 흡배기온도, 현재 배터리 전압, 타이어 공기압, RPM, DPF 포집량, 토크, 마력 등의 정보를 실시간으로 운전자에게 표시하여 운전자가 차량의 상태를 즉시 확인이 가능하다. 타이어의 공기압을 측정하여 화면에 표시하여 안전운행에 도움을 줄 수 있으며, 자신의 취향에 맞도록 변속타이밍을 설정할 수 있는 모드를 제공한다. 특히 디젤엔진 자동차의 경우 매연으로 인한 문제는 자동차 성능과 환경오염에 악영향을 미칠 수 있으므로 시스템 화면에 DPF 포집량을 표시하여 환경오염 방지와 효율적인 자동차 관리를 할 수 있도록 시스템을 개발하였다.

• 한국전자통신학회논문지
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• 제10권2호
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• pp.247-252
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• 2015

전력계통이 연계되지 않는 국내 유인도서의 대부분의 전력은 디젤발전기를 통해 공급하고 있으나 도서지역의 경우 유류비가 내륙지역에 비해 비싸고 이를 운송하는 것이 어렵다. 이러한 이유로 최근 자연자원을 활용하여 신재생에너지원을 도입을 하고 있지만 자연환경에 의존하는 신재생에너지원은 안정적인 전력공급이 어렵기 때문에 기존 디젤발전과 신재생에너지가 포함된 하이브리드시스템을 통해 전력을 공급하는 것이 필요하다. 본 논문은 풍력, 태양광, 배터리 및 디젤엔진 등 에너지저장장치를 포함한 하이브리드시스템의 타당성 연구결과를 설명한다. 이 연구 대상은 전력계통에 연계되지 않은 전라남도 서거차도이며, 최소비용을 투자하여 탄소배출을 최소화하는 최적 용량의 하이브리드시스템 구성을 제안한다. 이 시스템에 대한 경제정인 적합성은 HOMER 프로그램을 사용하여 분석하였다.

• Journal of Electrical Engineering and Technology
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• 제13권1호
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• pp.513-520
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• 2018

Since Paris Climate Change Conference in 2015, many policies to reduce the emission of greenhouse gas have been accelerating, which are mainly related to renewable energy resources and micro-grid. Presently, the technology development and demonstration projects are mostly focused on diversifying the power resources by adding wind turbine, photo-voltaic and battery storage system in the island-type small micro-grid. It is expected that the large-scaled micro-grid projects based on the regional district and town/complex city, e.g. the block type micro-grid project in Daegu national industrial complex will proceed in the near future. In this case, the economic cost or the carbon emission can be optimized by the efficient operation of energy mix and the appropriate construction of electric and heat supplying facilities such as cogeneration, renewable energy resources, BESS, thermal storage and the existing heat and electricity supplying networks. However, when planning a large residential town or city, the concrete plan of the energy infrastructure has not been established until the construction plan stage and provided by the individual energy suppliers of water, heat, electricity and gas. So, it is difficult to build the efficient energy portfolio considering the characteristics of town or city. This paper introduces an energy mix optimization(EMO) method to determine the optimal capacity of thermal and electric resources which can be applied in the design stage of the real large-scaled residential town or city, and examines the feasibility of the proposed method by applying the real heat and electricity demand data of large-scale residential towns with thousands of households and by comparing the result of HOMER simulation developed by National Renewable Energy Laboratory(NREL).