• Title/Summary/Keyword: Maximizing

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Streaming RFID: Robust Stream Transmission over Passive RFID

  • Hwang, Seok-Joong;Han, Young-Sun;Kim, Seon-Wook;Kim, Jong-Ok
    • ETRI Journal
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    • v.33 no.3
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    • pp.382-392
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    • 2011
  • This paper proposes the streaming radio frequency identification (RFID) protocol to support robust data streaming in a passive communication, which is extended from the ISO18000-6 Type C RFID standard. By observing and modeling the unique bit error behavior through detailed analysis in this paper, we found that performance is significantly limited by inaccurate and unstable link frequencies as well as low SNR which are inevitable for passive devices. Based on the analysis, we propose a simple and efficient protocol to adaptively insert extra error control sequences in a packet for tolerating tough link condition while maximizing the throughput and preserving the minimal implementation cost. To evaluate effectiveness of our proposal in real-time streaming applications, we experimented on real-time H.264 video streaming and prototyped the system on FPGA. To our best knowledge, our paper is the first work to take analytical approach for maximizing the throughput and demonstrate the possibility of the realtime multimedia streaming transmission in the passive RFID system.

Adaptive Quantization Scheme for Multi-Level Cell NAND Flash Memory (멀티 레벨 셀 낸드 플래시 메모리용 적응적 양자화기 설계)

  • Lee, Dong-Hwan;Sung, Wonyong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.6
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    • pp.540-549
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    • 2013
  • An adaptive non-uniform quantization scheme is proposed for soft-decision error correction in NAND flash memory. Even though the conventional maximizing mutual information (MMI) quantizer shows the optimal post-FEC (forward error correction) bit error rate (BER) performance, this quantization scheme demands heavy computational overheads due to the exhaustive search to find the optimal parameter values. The proposed quantization scheme has a simple structure that is constructed by only six parameters, and the optimal values of them are found by maximizing the mutual information between the input and the output symbols. It is demonstrated that the proposed quantization scheme improves the BER performance of soft-decision decoding with only small computational overheads.

Energy-Efficient Power Allocation for Cognitive Radio Networks with Joint Overlay and Underlay Spectrum Access Mechanism

  • Zuo, Jiakuo;Zhao, Li;Bao, Yongqiang;Zou, Cairong
    • ETRI Journal
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    • v.37 no.3
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    • pp.471-479
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    • 2015
  • Traditional designs of cognitive radio (CR) focus on maximizing system throughput. In this paper, we study the joint overlay and underlay power allocation problem for orthogonal frequency-division multiple access-based CR. Instead of maximizing system throughput, we aim to maximize system energy efficiency (EE), measured by a "bit per Joule" metric, while maintaining the minimal rate requirement of a given CR system, under the total power constraint of a secondary user and interference constraints of primary users. The formulated energy-efficient power allocation (EEPA) problem is nonconvex; to make it solvable, we first transform the original problem into a convex optimization problem via fractional programming, and then the Lagrange dual decomposition method is used to solve the equivalent convex optimization problem. Finally, an optimal EEPA allocation scheme is proposed. Numerical results show that the proposed method can achieve better EE performance.

Vehicle Routing for Maximizing Interlibrary-Loan Requests under Time Constraints (상호대차 요청 도서 운송량 최대화를 위한 차량 이동 방법 연구)

  • Lim, Heejong;Lee, Sangbok;Park, Sungjae
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.2
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    • pp.237-253
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    • 2017
  • There are many systematic approaches to manage Interlibrary loan (ILL) efficiently. In this paper, we propose an operating method reducing user-waiting in ILL. Users are usually informed to wait around two to three days in a regional ILL service. The reason of the waiting is that there is inefficiency in running material-delivery vehicles. A mixed integer programming is employed to resolve this issue. It provides an optimal vehicle-route maximizing material-deliveries subject to time availability. We used an actual data of a regional ILL system to provide optimal vehicle routes under different time settings.

A cluster head replacement based on threshold in the Internet of Things (사물인터넷에서 임계치 기반의 클러스터 헤드 교체 기법)

  • Kim, Jeong-Won
    • The Journal of the Korea institute of electronic communication sciences
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    • v.9 no.11
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    • pp.1241-1248
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    • 2014
  • An efficient battery usage of sensor nodes is main goal in a sensor network, which is the substructure of Internet of Things. Maximizing the battery usage of sensor nodes makes the lifetime of sensor network increase as well as the reliability of the network improved. The previous solutions to solve these problems are mainly focused on the cluster head selection based on the remaining energy. In this paper, we consider both the head selection and the replacement interval which is determined by a threshold that is based on the remaining energy, density of alive nodes, and location. Our simulation results show that the proposed scheme has outstanding contribution in terms of maximizing the life time of the network and balancing energy consumption of all nodes.

Hierarchical Lazy Greedy Algorithm for Weapon Target Assignment (무기할당을 위한 계층적 레이지 그리디 알고리즘)

  • Jeong, Hyesun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.23 no.4
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    • pp.381-388
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    • 2020
  • Weapon target assignment problem is an essential technology for automating the operator's rapid decision-making support in a battlefield situation. Weapon target assignment problem is a kind of the optimization problem that can build up an objective function by maximizing the number of threat target destructed or maximizing the survival rate of the protected assets. Weapon target assignment problem is known as the NP-Complete, and various studies have been conducted on it. Among them, a greedy heuristic algorithm which guarantees (1-1/e) approximation has been considered a very practical method in order to enhance the applicability of the real weapon system. In this paper, we formulated the weapon target assignment problem for supporting decision-making at the level of artillery. The lazy strategy based on hierarchical structure is proposed to accelerate the greedy algorithm. By experimental results, we show that our algorithm is more efficient in processing time and support the same level of the objective function value with the basic greedy algorithm.

Methodology for Optimizing Parameters of Vehicle Safety Regulation on Pedestrian Protection (보행자-차량 충돌안전기준 매개변수 최적화 방법론 개발 및 적용)

  • Oh, Cheol;Kim, Beom-Il;Kang, Youn-Soo;Youn, Young-Han
    • Transactions of the Korean Society of Automotive Engineers
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    • v.14 no.5
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    • pp.186-194
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    • 2006
  • Traffic accident involved with the vulnerable pedestrian is one of the significant concerns, which has higher possibility of fatality than any other accident types. Worldwide significant efforts have been made to establish a vehicle safety regulation, which is internationally agreed, in order to reduce pedestrian casualties in pedestrian-vehicle collisions. One of the key issues in deriving the regulation is how to effectively select the parameter values associated with the regulation. This study firstly develops a method to optimize parameter values. An optimizing problem in terms of maximizing safety benefits, which are life-saving effects by the regulation, is formulated. Extensive actual accident data analysis and simulations are conducted to establish several statistical models to be used in the proposed optimization procedure. A set of parameter values that can produce maximizing life-saving effects is presented as the outcome of this study. It is expected that the proposed method would play a significant role in determining parameters as a decision support tool toward ensuring better pedestrian safety.

Interactive Experience Room Using Infrared Sensors and User's Poses

  • Bang, Green;Yang, Jinsuk;Oh, Kyoungsu;Ko, Ilju
    • Journal of Information Processing Systems
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    • v.13 no.4
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    • pp.876-892
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    • 2017
  • A virtual reality is a virtual space constructed by a computer that provides users the opportunity to indirectly experience a situation they have not experienced in real life through the realization of information for virtual environments. Various studies have been conducted to realize virtual reality, in which the user interface is a major factor in maximizing the sense of immersion and usability. However, most existing methods have disadvantages, such as costliness or being limited to the physical activity of the user due to the use of special devices attached to the user's body. This paper proposes a new type of interface that enables the user to apply their intentions and actions to the virtual space directly without special devices, and test content is introduced using the new system. Users can interact with the virtual space by throwing an object in the space; to do this, moving object detectors are produced using infrared sensors. In addition, the users can control the virtual space with their own postures. The method can heighten interest and concentration, increasing the sense of reality and immersion and maximizing user's physical experiences.

A Study on Process Integrated Innovation System for a LNG Industry (LNG 산업의 프로세스 통합 정보망 시스템에 관한 연구)

  • Kim Chung Kyun
    • Journal of the Korean Institute of Gas
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    • v.6 no.1 s.17
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    • pp.59-65
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    • 2002
  • This paper presents new IT model, PIIS that integrates the safety control, construction, and operation managements in a conventional gas industry The systemic approach based on the PIIS model may reduce or increase the parameters as maximizing the safety, risk and crisis management, and increasing the cost-effective productivity The rapid synchronization and integration of the process using the PIIS model may produce more profits and satisfactions between customer and gas supplier. Thus, the PIIS model should quickly be introduced to gas industry at the beginning stage of engineering design and construction processes for maximizing production, effectiveness, and safety of the system from the exploration of a natural gas to a final consumption.

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The Operational Optimization of Semiconductor Research and Development Fabs by FAB-wide Scheduling (FAB-Wide 스케줄링을 통한 반도체 연구라인의 운용 최적화)

  • Kim, Young-Ho;Lee, Jee-Hyong;Sun, Dong-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.4
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    • pp.692-699
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    • 2008
  • Semiconductor research and development(R&D) fabs are very different than production fabs in many ways such as the scales of production, job priority, production methods, and performance measures. Efficient operations of R&D fabs are very important to the development of new product, process stability, high yield, and ultimately company competitiveness. This paper proposes the fab-wide scheduling method for operational optimization of the R&D fabs. Most scheduling systems of semiconductor fabs have only focused on maximizing throughput of each separated areas without considering WIP(works in process) flows of entire fab. In this paper, we proposes the a fab-wide scheduling system which schedules all lots to entire fab equipment at once. We develop the MIP(mixed integer programing) model which allocates the lots to production equipment considering many constraints of all processes and the CP(constraint programming) model which determines the sequences of the lots in the production equipment. The proposed FAB-wide scheduling model is applied to the newly constructed R&D fab. As a result, we have accomplished the system based automated job reservation, decrease of the hot lot delay, increase of the queue time satisfaction, the high throughput by maximizing the batch sizes, decrease of the WIP TAT(Turn Around Time).