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      • SCIESCOPUS

        Sensor placement optimization in structural health monitoring using distributed monkey algorithm

        Yi, Ting-Hua,Li, Hong-Nan,Zhang, Xu-Dong Techno-Press 2015 Smart Structures and Systems, An International Jou Vol.15 No.1

        Proper placement of sensors plays a key role in construction and implementation of an effective structural health monitoring (SHM) system. This paper proposes a novel methodology called the distributed monkey algorithm (DMA) for the optimum design of SHM system sensor arrays. Different from the existing algorithms, the dual-structure coding method is adopted for the representation of design variables and the single large population is partitioned into subsets and each subpopulation searches the space in different directions separately, leading to quicker convergence and higher searching capability. After the personal areas of all subpopulations have been finished, the initial optimal solutions in every subpopulation are extracted and reordered into a new subpopulation, and the harmony search algorithm (HSA) is incorporated to find the final optimal solution. A computational case of a high-rise building has been implemented to demonstrate the effectiveness of the proposed method. Investigations have clearly suggested that the proposed DMA is simple in concept, few in parameters, easy in implementation, and could generate sensor configurations superior to other conventional algorithms both in terms of generating optimal solutions as well as faster convergence.

      • A Rapid and Efficient Pre-deployment Key Scheme for Secure Data Transmissions in Sensor Networks Using Lagrange Interpolation Polynomial

        Hua-Yi Lin,De-Jun Pan,Xin-Xiang Zhao,Zhi-Ren Qiu 보안공학연구지원센터 2008 International Journal of Security and Its Applicat Vol.2 No.3

        This study proposes a pre-deployment key management scheme that requires a few memory capacities and CPU computations to address secure data transmissions in Wireless Sensor Networks (WSNs). The proposed scheme exploits threshold key management mechanisms by Lagrange Interpolation polynomial generating a key set for sensor nodes, and uses symmetric and irreversible cryptography schemes to encrypt transmitted data by the generated keys with Message Authentication Code (MAC). The sensor nodes merely have to aggregate and encrypt received data without complicated cryptography operations. The proposed approach can achieve rapid and efficient secure data transmissions with low communications, and is proper to be implemented on large-scale sensor networks.

      • KCI등재

        Quality Characteristics of Songpyeon Containing Different Fillings during Storage

        Yi-Hua Wen,은종방 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.1

        Songpyeon is a Korean traditional food made of rice with different fillings. The fillings may affect the qualities of songpyeon, such as shelf-life. Therefore, quality characteristics of songpyeon filled with chopped black eyed peas (CBP) and unchopped black eyed peas (UCBP)were investigated during storage at room temperature. As a result, all samples had moisture content and pH values favorable for microbial growth. Hardness, gumminess, and chewiness were increased during storage. All sensory parameters values decreased steadily in stored songpyeon. The shelf-life of songpyeon was suggested to be only 2days by the panelists. UCBP had higher number of total microbial loads, yeasts, and molds than those of CBP. Coliforms were not detected in songpyeon during storage. These results suggested that songpyeon filled with UCBP had a shorter shelf-life than songpyeon filled with CBP.

      • SCIESCOPUS

        Multi-stage structural damage diagnosis method based on "energy-damage" theory

        Yi, Ting-Hua,Li, Hong-Nan,Sun, Hong-Min Techno-Press 2013 Smart Structures and Systems, An International Jou Vol.12 No.3

        Locating and assessing the severity of damage in large or complex structures is one of the most challenging problems in the field of civil engineering. Considering that the wavelet packet transform (WPT) has the ability to clearly reflect the damage characteristics of structural response signals and the artificial neural network (ANN) is capable of learning in an unsupervised manner and of forming new classes when the structural exhibits change, this paper investigates a multi-stage structural damage diagnosis method by using the WPT and ANN based on "energy-damage" theory, in which, the wavelet packet component energies are first extracted to be damage sensitive feature and then adopted as input into an improved back propagation (BP) neural network model for damage diagnosis in a step by step mode. To validate the efficacy of the presented approach of the damage diagnosis, the benchmark structure of the American Society of Civil Engineers (ASCE) is employed in the case study. The results of damage diagnosis indicate that the method herein is computationally efficient and is able to detect the existence of different damage patterns in the simulated experiment where minor, moderate and severe damages corresponds to involving in the loss of stiffness on braces or the removal bracing in various combinations.

      • SCIESCOPUS

        Sensor placement for structural health monitoring of Canton Tower

        Yi, Ting-Hua,Li, Hong-Nan,Gu, Ming Techno-Press 2012 Smart Structures and Systems, An International Jou Vol.10 No.4

        A challenging issue in design and implementation of an effective structural health monitoring (SHM) system is to determine where a number of sensors are properly installed. In this paper, research on the optimal sensor placement (OSP) is carried out on the Canton Tower (formerly named Guangzhou New Television Tower) of 610 m high. To avoid the intensive computationally-demanding problem caused by tens of thousands of degrees of freedom (DOFs) involved in the dynamic analysis, the three dimension finite element (FE) model of the Canton Tower is first simplified to a system with less DOFs. Considering that the sensors can be physically arranged only in the translational DOFs of the structure, but not in the rotational DOFs, a new method of taking the horizontal DOF as the master DOF and rotational DOF as the slave DOF, and reducing the slave DOF by model reduction is proposed. The reduced model is obtained by IIRS method and compared with the models reduced by Guyan, Kuhar, and IRS methods. Finally, the OSP of the Canton Tower is obtained by a kind of dual-structure coding based generalized genetic algorithm (GGA).

      • AHCISCOPUSKCI등재
      • SCIESCOPUS

        Optimal sensor placement for health monitoring of high-rise structure based on collaborative-climb monkey algorithm

        Yi, Ting-Hua,Zhou, Guang-Dong,Li, Hong-Nan,Zhang, Xu-Dong Techno-Press 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.2

        Optimal sensor placement (OSP) is an integral component in the design of an effective structural health monitoring (SHM) system. This paper describes the implementation of a novel collaborative-climb monkey algorithm (CMA), which combines the artificial fish swarm algorithm (AFSA) with the monkey algorithm (MA), as a strategy for the optimal placement of a predefined number of sensors. Different from the original MA, the dual-structure coding method is adopted for the representation of design variables. The collaborative-climb process that can make the full use of the monkeys' experiences to guide the movement is proposed and incorporated in the CMA to speed up the search efficiency of the algorithm. The effectiveness of the proposed algorithm is demonstrated by a numerical example with a high-rise structure. The results show that the proposed CMA algorithm can provide a robust design for sensor networks, which exhibits superior convergence characteristics when compared to the original MA using the dual-structure coding method.

      • SCIESCOPUS

        Outlier detection of GPS monitoring data using relational analysis and negative selection algorithm

        Yi, Ting-Hua,Ye, X.W.,Li, Hong-Nan,Guo, Qing Techno-Press 2017 Smart Structures and Systems, An International Jou Vol.20 No.2

        Outlier detection is an imperative task to identify the occurrence of abnormal events before the structures are suffered from sudden failure during their service lives. This paper proposes a two-phase method for the outlier detection of Global Positioning System (GPS) monitoring data. Prompt judgment of the occurrence of abnormal data is firstly carried out by use of the relational analysis as the relationship among the data obtained from the adjacent locations following a certain rule. Then, a negative selection algorithm (NSA) is adopted for further accurate localization of the abnormal data. To reduce the computation cost in the NSA, an improved scheme by integrating the adjustable radius into the training stage is designed and implemented. Numerical simulations and experimental verifications demonstrate that the proposed method is encouraging compared with the original method in the aspects of efficiency and reliability. This method is only based on the monitoring data without the requirement of the engineer expertise on the structural operational characteristics, which can be easily embedded in a software system for the continuous and reliable monitoring of civil infrastructure.

      • KCI등재

        Cadmium stress inhibits the growth of primary roots by interfering auxin homeostasis in Sorghum bicolor seedlings

        Yi-hua Zhan,Cheng-hao Zhang,Qiu-xun Zheng,Zong-an Huang,Chen-liang Yu 한국식물학회 2017 Journal of Plant Biology Vol.60 No.6

        Phytotoxic effects of cadmium (Cd), a heavy metalpollutant, on plants have been extensively examined. Auxinplays vital roles in many aspects of plant development. Theassociation between root growth and auxin signaling in CdstressedSorghum bicolor was analyzed in our study. Rootelongation, shoot length and the maximal photochemicalefficiency (Fv/Fm) in S. bicolor seedlings were dramaticallyreduced after Cd stress treatment. Cd was found to bepredominantly confined in the meristematic zone using a Cdstainingmethod. Cd stress remarkably influenced the cellcycle progression at the root tip as shown by EdU (ethynyldeoxyuridine) assay. The content of IAA was markedlydiminished in the roots of Cd-stressed S. bicolor, which wasalong with the increase of IAA oxidase activity. Auxintransport inhibitors, 1-naphthoxyacetic acid (1-NOA) or 1-naphthylphthalamic acid (NPA), greatly reduced plant toleranceto Cd stress, whereas exogenous application of 1-naphthaleneacetic acid (NAA) improved Cd tolerance in S. bicolor seedlings. Cd stress altered the transcript level ofsome putative auxin biosynthetic genes. In addition, NAAinterfered with the homeostasis of Cd-induced reactiveoxygen species (ROS). These results revealed that Cd stressdisturbed the growth of S. bicolor seedlings by affecting thehomeostasis of auxin and ROS.

      • KCI등재

        중국 윈난성 뎬츠(滇池)보호에서의 공중참여에 관한 연구 : 자원동원이론의 시각으로

        Yi-Hua Wen,Yue Sun,Ming Liu 한국환경사회학회 2019 환경사회학연구 ECO Vol.23 No.2

        This research takes the private environment organization--Green Kunming as an example, to explore the growth of resources by mobilization. The study includes a public participation activity--Protecting Lake Denz, the largest lake in Kunming, Yunnan Province. To ensure this organization survive and thrive, we must have sufficient resources and are able to mobilize them. This study focuses on the development of Green Kunming ancestry conservation activities based on institutional resources, financial resources, human resources and social resources. These resources are organically integrated with each other and are characterized by collective actions. The survey results show that Green Kunming is limited by institutional resources, but this is also a prerequisite for obtaining legitimacy and obtaining new resources. Financial resources are mainly funded by private fund meetings. and these funds are a major participatory survival method including projects. In mobilizing human resources, the members are mainly volunteers. Doing this will ensure the sustainability of group development, promote the formation of social capital, and fully mobilize new media as a social resource. This study aims to determine the growth of citizens in our society, and hope to use it as an indicator to measure the degree of the political structure openness to the Chinese public participation and the degree of democratization in the public sphere. 본 연구는 중국 윈난성 쿤밍시에서 가장 큰 호수인 뎬츠(滇池)에 대한 보호를 비롯한 공중의 참여활동 중에서 민간 환경단체-녹색곤명을 사례로, 자원동원론의 시각으로 참여과정에 자원을 어떻게 동원하면서 성장하였는가를 살펴본다. 단체가 생존하고 성장하려면 다양한 자원을 소유함과 아울러 자원을 충분히 동원하여야 한다. 이런 자원들은 또 서로 유기적으로 결합되면서 단체활동 전개의 특성을 가진다. 본고에서는 자원을 동원하기 위한 전제조건, 재정적 자원, 인적 자원, 사회적 자원을 토대로 뎬츠보호의 주요한 행위주체‒녹색곤명의 뎬츠보호 활동의 전개에 대한 분석이 중심을 이룬다. 연구결과 녹색곤명은 합법적인 지위를 취득하여 새로운 자원을 얻을 수 있는 정치적 기회구조를 확충하고, 재정적 자원은 주로 민간 기금회의 자금 지원을 통해 얻는데 이러한 자금조달은 프로젝트를 비롯한 참여방식이 된다. 인적 자원의 동원을 볼때 구성원은 주로 자원봉사자들인데 이러한 특성은 인력동원이 용이하고 자발적으로 활동할 수 있으며 단체 발전의 지속성을 보장하며, 사회자본의 형성을촉진할 수 있다. 사회적 자원으로는 주로 뉴미디어를 활용했는데 전파속도가빠르고 전파범위가 넓어서 공론장의 형성을 촉진하였다. 이러한 현상을 통해중국에서 공중참여에 대한 제도적 보장은 이미 갖춰져 있고, 정치적 기회 구조는 질적으로 변화하고 있으며, 정부의 집권이념의 변화가 시민사회의 성장을추진하고 있다는 결론을 얻을 수 있었다.

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