• Journal of Power Electronics
• /
• v.9 no.2
• /
• pp.133-145
• /
• 2009

In this paper a modular high performance MV-to-LV rectifier based on a cascaded H-bridge rectifier is presented. The proposed rectifier can directly connect to the medium voltage levels and provide a low-voltage and highly-stable DC interface with the consumer applications. The input stage eliminates the necessity for heavy and bulky step-down transformers. It corrects the input power factor and maintains the voltage balance among the individual DC buses. The second stage includes the high frequency parallel-output DC/DC converters which prepares the galvanic isolation, regulates the output voltage, and attenuates the low frequency voltage ripple ($2f_{line}$) generated by the first stage. The parallel-output converters can work in interleaving mode and the active load-current sharing technique is utilized to balance the load power among them. The detailed analysis for modeling and control of the proposed structure is presented. The validity and performance of the proposed topology is verified by simulation and experimental results.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.10 no.10
• /
• pp.4883-4901
• /
• 2016

Energy efficiency in Wireless Sensor Networks (WSNs) is very appealing research area due to serious constrains on resources like storage, processing, and communication power of the sensor nodes. Due to limited capabilities of sensing nodes, such networks are composed of a large number of nodes. The higher number of nodes increases the overall performance in data collection from environment and transmission of packets among nodes. In such networks the nodes sense data and ultimately forward the information to a Base Station (BS). The main issues in WSNs revolve around energy consumption and delay in relaying of data. A lot of research work has been published in this area of achieving energy efficiency in the network. Various techniques have been proposed to divide such networks; like grid division of network, group based division, clustering, making logical layers of network, variable size clusters or groups and so on. In this paper a new technique of group based WSNs is proposed by using some features from recent published protocols i.e. "Energy-Efficient Multi-level and Distance Aware Clustering (EEMDC)" and "Energy-Efficient Multi-level and Distance Aware Clustering (EEUC)". The proposed work is not only energy-efficient but also minimizes the delay in relaying of data from the sensor nodes to BS. Simulation results show, that it outperforms LEACH protocol by 38%, EEMDC by 10% and EEUC by 13%.

• Journal of Information Processing Systems
• /
• v.16 no.2
• /
• pp.377-393
• /
• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.5
• /
• pp.53-60
• /
• 2014

With the rapid development of IT technology, recently, the development of IT convergence technology related to the facility diagnosis is prevalent, and the study for the efficient integrated management scheme is required to handle all relevant information, from the design to the maintenance, including the stage of repair. In this paper, an efficient scheme to process the complex data for the facility and its diagnosis is proposed based on IT convergence technique and the real-time complex data management is designed. In order to evaluate the performance of the proposed system, the real-time management system is designed for a particular facility, and the comparative results show the good performance of the proposed system.

• KIEAE Journal
• /
• v.11 no.6
• /
• pp.87-93
• /
• 2011

This study examines building's power consumption unit cost and Building Integrated Photovoltaic (BIPV)'s generation efficiency and load rate with the subjects of university dormitory buildings in order to suggest foundational data for new and recycled energy use and management to plan and operate university dormitories afterwards. Thereby, this research gained the following findings. 1. The quantity of solar radiation and efficiency change in the BIPV system applied to the research subject buildings after the lapse of time was averagely 8.7%, and it is thought that temperature increase determines conversion efficiency with the influence of surrounding outside temperature and the module's temperature. 2. The generation efficiency of the BIPV system in the research subject buildings was averagely 10.9%. In May, it was 13.9%, and in January, it was the lowest as 10.25%. Considering the fact that power consumption reduces during an intermediate period, it will be necessary to establish measures for equipment and power consumption load balancing. 3. The monthly load rate of the BIPV system was averagely 4.09%. In May, it was the highest as 4.94%, and in July, it was the lowest as 3.24%. 4. It is intended to conduct constant follow-up research on estimating university dormitory building's power consumption unit cost and examining the generation efficiency and load rate of the BIPV system.

• ETRI Journal
• /
• v.42 no.2
• /
• pp.186-195
• /
• 2020

Software-defined networking (SDN) acts as a centralized management unit, especially in a network with devices that operate under the transport layer of the OSI model. However, when a network with layer 7 middleboxes (MBs) is considered, current SDNs exhibit limitations. As such, to achieve a real-centralized management unit, a new architecture is required that decouples the data and control planes of all network devices. In this report, we propose such a complementary architecture to the current SDN in which SDN-enabled MBs are included along with contemporary SDN-enabled switches. The management unit of this architecture improves network performance and reduces routing cost by considering the status of the MBs during flow forwarding. This unit consists of the following two parts: an SDN controller (SDNC) and a middlebox controller (MBC). The latter selects the best MBs for each flow and the former determines the best path according to its routing algorithm and provides information via the MBC. The results show that the proposed architecture improved performance because the utilization of all network devices including MBs is manageable.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.10 no.5
• /
• pp.281-296
• /
• 2015

This paper describes a novel disaster evacuation system using embedded systems such as smart devices for crisis and emergency management. In indoor environments deployed with the Bluetooth Low Energy(BLE) beacons, smart devices detect their indoor positions from beacon messages and interact with Map Server(MS) and Route Server(RS) in the Internet over the LTE and/or Wi-Fi functions. The MS and RS generate an optimal path to the nearest emergency exit based on a novel graph generation method for less route computation, called the Disaster Evacuation Graph(DEG), for each smart device. The DEG also enables efficient processing of some constraints in the computation of route, such as load balancing in situation of different capacities of paths or exits. All data interfaces among three system components, the MS, RS, smart devices, have been defined for modular implementation of our disaster evacuation system. Our experimental system has been deployed and tested in our building thoroughly and gives a good evidence that the modular design of the system and a novel approach to compute emergency route based on the DEG is competitive and viable.

• ETRI Journal
• /
• v.32 no.2
• /
• pp.292-301
• /
• 2010

Increasing convergence among heterogeneous radio networks is expected to be a key feature of future ubiquitous services. The convergence of radio networks in combination with dynamic spectrum allocation (DSA) could be a beneficial means to solve the growing demand for radio spectrum. DSA might enhance the spectrum utilization of involved radio networks to comply with user requirements for high-quality multimedia services. This paper proposes a simple spectrum allocation algorithm and presents an analytical model of dynamic spectrum resource allocation between two networks using a 4-D Markov chain. We argue that there may exist a break-even point for choosing whether or not to adopt DSA in a system. We point out certain circumstances where DSA is not a viable alternative. We also discuss the performance of DSA against the degree of resource sharing using the proposed analytical model and simulations. The presented analytical model is not restricted to DSA, and can be applied to a general resource sharing study.

• Industrial Engineering and Management Systems
• /
• v.3 no.2
• /
• pp.116-122
• /
• 2004

This paper presents a process plan selection model with multiple objectives. The process plans for all parts should be selected under multiple objective environment as follows: (1) minimizing the sum of machine processing and material handling time of all the parts considering realistic shop factors such as production volume, processing time, machine capacity, and capacity of transfer device. (2) balancing the load between machines. A multiple objective mathematical model is proposed and an evolutionary algorithm with the adaptive recombination strategy is developed to solve the model. To illustrate the efficiency of proposed approach, numerical examples are presented. The proposed approach is found to be effective in offering a set of satisfactory Pareto solutions within a satisfactory CPU time in a multiple objective environment.

• Proceedings of the KIEE Conference
• /
• 2007.10a
• /
• pp.211-212
• /
• 2007

최근 자가 구성이 가능한 모바일 애드 혹 네트워크상에서 통신을 지원하기 위하여 DSR, AODV등 많은 On Demand 라우팅 프로토콜들이 제안되었다. 이들 라우팅 프로토콜들은 경로탐색과정에서 Route Request(RREQ) 패킷을 브로드캐스트하여 목적 노드로부터 Route Reply(RREP) 패킷을 받음으로써 라우팅 경로를 설정한다. 이때 경로탐색의 지연을 최소로 줄이고자 과거 경로탐색 정보 및 라우팅 정보를 경로캐쉬에 저장하여, 중간노드에서 RREP를 대신 보낼 수 있다. 이러한 캐쉬 기법은 간단하면서 매우 효율적인 방법이지만, 캐쉬 정보가 잘못된 경우 불필요한 지연을 일으킨다. 더욱이 캐쉬 정보를 이용할 경우, 특정 노드에게 보내는 데이터가 집중되는 문제가 발생하여 혼잡의 원인이 된다. 본 논문에서는 이러한 혼잡을 해결하고자 캐쉬 정보를 동적으로 관리하여, 혼잡의 원인이 되는 RREP를 억제하고자 한다. 이를 위하여 혼잡 임계값 및 파라미터를 정의한다. 마지막으로 실험을 통하여 네트워크 트래픽이 많을 경우 제안된 기법을 적용했을 때, 더 우수한 성능을 가짐을 보인다.