• Title/Summary/Keyword: integrated approach

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Group Key Agreement From Signcryption

  • Lv, Xixiang;Li, Hui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권12호
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    • pp.3338-3351
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    • 2012
  • There is an intuitive connection between signcryption and key agreement. Such a connector may lead to a novel way to construct authenticated and efficient group key agreement protocols. In this paper, we present a primary approach for constructing an authenticated group key agreement protocol from signcryption. This approach introduces desired properties to group key agreement. What this means is that the signcryption gives assurance to a sender that the key is available only to the recipient, and assurance to the recipient that the key indeed comes from the sender. Following the generic construction, we instantiate a distributed two-round group key agreement protocol based on signcryption scheme given by Dent [8]. We also show that this concrete protocol is secure in the outsider unforgeability notion and the outsider confidentiality notion assuming hardness of the Gap Diffie-Hellman problem.

An Adaptive Weighted Regression and Guided Filter Hybrid Method for Hyperspectral Pansharpening

  • Dong, Wenqian;Xiao, Song
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.327-346
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    • 2019
  • The goal of hyperspectral pansharpening is to combine a hyperspectral image (HSI) with a panchromatic image (PANI) derived from the same scene to obtain a single fused image. In this paper, a new hyperspectral pansharpening approach using adaptive weighted regression and guided filter is proposed. First, the intensity information (INT) of the HSI is obtained by the adaptive weighted regression algorithm. Especially, the optimization formula is solved to obtain the closed solution to reduce the calculation amount. Then, the proposed method proposes a new way to obtain the sufficient spatial information from the PANI and INT by guided filtering. Finally, the fused HSI is obtained by adding the extracted spatial information to the interpolated HSI. Experimental results demonstrate that the proposed approach achieves better property in preserving the spectral information as well as enhancing the spatial detail compared with other excellent approaches in visual interpretation and objective fusion metrics.

The Flexible Application of Real Options for Subcontractor in the Soft Drink Manufacturing Industry

  • Kume, Katsunori;Fujiwara, Takao
    • Asian Journal of Innovation and Policy
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    • 제7권3호
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    • pp.581-605
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    • 2018
  • In the soft drink industry, especially small and medium enterprises in Japan, there is a possibility of conversion from a labor-intensive industry to a capital-intensive. The demand for soft drinks may not be satisfied in the summer because the supply is too low to meet the demand. To address this situation, this paper proposes optimal investment that integrates demand uncertainty, based on real options approach (ROA) and seasonal autoregressive integrated moving average. Two alternative options are compared and evaluated. One is the Bermudan option: to employ additional workers to elevate efficiency in summer and laying off in winter, this attitude is repeated each year. The other is the American option: to replace equipment to increase machine ability throughout the year. Results in ROA show that the highest improvement is gained if the two options are in a symbiotic relationship. Soft drink producers should search for replacing equipment, using the employees repeatedly. A temporary decision is not equal to an infinite decision.

INTEGRATED PERFORMANCE MANAGEMENT FOR WHOLE PHASES OF URBAN RENEWAL MEGAPROJECTS

  • Heedae Park;Kang-Wook Lee;Seung Heon Han
    • 국제학술발표논문집
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    • The 3th International Conference on Construction Engineering and Project Management
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    • pp.1463-1467
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    • 2009
  • Construction projects are vulnerable to diverse internal and external factors, requiring systematic and consistent performance management along the entire life cycle of a project. In particular, urban renewal projects have a range of performance measures, including policy reconciliation and permits, project development, project financing, design, construction, and occupancy and maintenance. This requires a program-level megaproject approach, which integrates each stage of a project as well as variety of stakeholders' interests in pursuing a project from different perspectives. However, previous research on performance management has focused especially on the limited scopes of factors, including cost, quality, and schedule at the project level or on financial factors at the firm level. Given the lack of current approaches, this study suggests an integrated and systematic performance management scheme to control urban renewal megaprojects at the broadened perspectives of the program level. To this end, this study adopts the balanced scorecard approach and elicits key performance indices associated with various project configurations. Finally, an algorithm is presented for quantitatively assessing the level of performances along whole life cycle of urban renewal megaprojects.

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Advanced Machine Learning Approaches for High-Precision Yield Prediction Using Multi-temporal Spectral Data in Smart Farming

  • Sungwook Yoon
    • International journal of advanced smart convergence
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    • 제13권3호
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    • pp.335-344
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    • 2024
  • This study explores advanced machine learning techniques for improving crop yield prediction in smart farming, utilizing multi-temporal spectral data from drone-based multispectral imagery. Conducted in garlic orchards in Andong, Gyeongbuk Province, South Korea, the research examines the effectiveness of various vegetation indices and cutting-edge models, including LSTM, CNN, Random Forest, and XGBoost. By integrating these models with the Analytic Hierarchy Process (AHP), the study systematically evaluates the factors that influence prediction accuracy. The integrated approach significantly outperforms single models, offering a more comprehensive and adaptable framework for yield prediction. This research contributes to precision agriculture by providing a robust, AI-driven methodology that enhances the sustainability and efficiency of farming practices.

Enhancing Irregular Repetition Slotted ALOHA with Polarization Diversity in LEO Satellite Networks

  • Su, Jingrui;Ren, Guangliang;Zhao, Bo;Ding, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권9호
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    • pp.3907-3923
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    • 2020
  • An enhanced irregular repetition slotted ALOHA (IRSA) protocol is proposed by using polarization characteristic of satellite link and MIMO detection in low earth orbit (LEO) satellite networks, which is dubbed polarized MIMO IRSA (PM-IRSA). In the proposed scheme, one or two packets in one slot can be decoded by employing polarized MIMO detection, and more than two collided packets in multiple slots which can construct the virtual MIMO model can be decoded by the MIMO detection algorithm. The performance of the proposed scheme is analyzed with the density evolution (DE) approach and the degree distribution is optimized to maximize the system throughput by using a differential evolution. Numerical results certify our analysis and show that the normalized throughput of the proposed PM-IRSA can achieve 1.89 bits/symbol.

Practical Methodology of the Integrated Design and Power Control Unit for SHEV with Multiple Power Sources

  • Lee, Seongjun;Kim, Jonghoon
    • Journal of Electrical Engineering and Technology
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    • 제11권2호
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    • pp.353-360
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    • 2016
  • Series hybrid electric vehicles (SHEVs) having multiple power sources such as an engine- generator (EnGen), a battery, and an ultra-capacitor require a power control unit with high power density and reliable control operation. However, manufacturing using separate individual power converters has the disadvantage of low power density and requires a large number of power and signal cable wires. It is also difficult to implement the optimal power distribution and fault management algorithm because of the communication delay between the units. In order to address these concerns, this approach presents a design methodology and a power control algorithm of an integrated power converter for the SHEVs powered by multiple power sources. In this work, the design methodology of the integrated power control unit (IPCU) is firstly elaborately described, and then efficient and reliable power distribution algorithms are proposed. The design works are verified with product-level and vehicle-level performance experiments on a 10-ton SHEV.

네트워크 기반 엔지니어링 환경에서의 제품 개발: 개넘과 접근방식 (Product Development in the Network-Centric Engineering Environment: Concept and Approach)

  • 방건동
    • 한국CDE학회논문집
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    • 제5권1호
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    • pp.79-87
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    • 2000
  • This paper presents an integrated but open product development environment for distributed and collaborative design. The web-based framework, called DOME, allows designers to build integrated models using both local and distributed resources, and to collaborate by exchanging services in a network-centric product development environment. Thus, an integrated model can be created while each participant focuses on his or her own area of expertise. A design problem model is created by connecting modules, which represent specific system components, analysis capabilities/software, disciplines, or organizations relevant to the problem. The modules interact with each other using service exchanges based upon the CORBA standard communication protocol. The goal of this framework is tall provide the ability to rapidly construct integrated design problem models to facilitate collaborative design work, improve product quality and reduce development time. Ultimately, it should allow specialized engineering applications and design problem models to operate under a common design environment.

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유아음악교육의 통합적 접근을 위한 이론적 고찰 (A Theoretical Consideration for Integrated Approach of Young Children's Music Education)

  • 임은애
    • 수산해양교육연구
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    • 제20권2호
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    • pp.266-285
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    • 2008
  • This study investigated the relationship between musical understanding and expression, the purpose of music education. It also intended to present the theoretical basis of integrated early childhood music education by examining into the necessity of it as a method to help young children with musical understanding and expression. The results of the study showed that either of the understanding and expression of music should be necessary and there is a mutual promotional relationship between them. It was found out that real musical understanding can be formed not by mechanical skill, but when the relationship between notes is understood with various experiences. Therefore an integrated early childhood music education became necessary as a principle of educational method to help young children with musical understanding and musical expression. Concretely it was found out to be necessary in terms of the characteristics, interest and concern of young children, the use and development of multi intelligence and the translation of the same knowledge into the same level.

Integrated Network Management Agents of IMT-2000 based on ASIB Component

  • Park, Soo-Hyun
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.1382-1385
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    • 2002
  • By managing various communication networks collectively, Telecommunication Management Network (TMN) has appeared as a concept to aim for the unified and effective communication network operation and maintenance. IMT-2000 and other network such as PSTN, cellular networks and packet witching network that are integrated with IMT-2000 have been developed in different platforms - hardware and operating system, and a same circumstance will happen in the maintenance in the future. Also, it is difficult to approach to the standard for Q3 interface implementation of the agent in TMN system that may occur in the development or the maintenance for the different platform of IMT-2000 and other networks that are integrated with IMT-2000. In order to solve this kind of Problems, this Paper suggests integrated network management agent of IMT-2000 based on the NTS model and Advanced Intelligent Network(AIN).

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