• Title/Summary/Keyword: Dynamic Aggregation

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Aggregation of Partially Quarternized Poly(4-vinylpyridine) with Anionic Surfactant Sodium Dodecvl Sulfate (부분적으로 4차아민화된 폴리(4-비닐피리딘)과 음이온 계면활성제인 도데실 황산 소듐과의 응집체 형성)

  • 김용철;박일현;심후식;최이준
    • Polymer(Korea)
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    • v.28 no.2
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    • pp.154-161
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    • 2004
  • Modified poly(4-vinylpyridine) was obtained by partial quarternization of nitrogen atoms in pyridine rings of poly(4-vinylpyridine) with methyl group. By means of laser light scattering and fluorescence, it was found that this modified polymer chains were aggregated in the aqueous solution and its structure was core-shell type. The hydrophobic parts of the chains were densely condensed in core part and the hydrophilic part of quarternized amino with positive charge formed the shell part. In the mixed system of modified poly(4-vinylpyridine) and anionic surfactant, sodium dodecyl sulfate, it was observed that a critical aggregation concentration existed and that this critical concentration was suddenly decreased above 0.1 M NaCl. The size change of aggregates was also investigated by dynamic light scattering while sodium dodecyl sulfate was added into polymer solution upto the critical aggregation concentration.

On Development of Lower Order Aggregated Model for the Linear Large-Scale Model

  • Yoo, Beyong-Woo
    • Korean Management Science Review
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    • v.15 no.2
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    • pp.125-142
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    • 1998
  • The aggregation on linear large-scale dynamic systems is examined in this paper and a "two-step" approach is proposed. In this procedure, the aggregated system consists of two subsystems. The first subsystem represents aggregation through the retainment of dominant eigenvalues of the original system, leading to a first approximation of the desired output of the original system. The purpose of augmenting it with a second subsystem is to provide an estimation of the error on the first approximation, thus permitting a second correction to the output approximation and resulting in an output approximation of greater accuracy. Optimization techniques are discussed for the determination of unknown parameters in the aggregated system. These techniques use minimization principles of certain suitable performance indices and are developed for both single input-single output and multiple input-multiple output system. Numerical examples illustrating these procedures are given and the results are compared with those obtained using existing methods. Finally, a pharmacokinetics problem is studied from the aggregation point of view.

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A study on aggregation method using relation index of state variables in the power system (상태변수들의 관계지수를 이용한 전력시스템 축약기법 연구)

  • Lee, Byung-Ha;Oh, Min-Hyuk
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.339-341
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    • 2006
  • Increasing interconnection of power plants in modern large electric power system has made power system dynamic studies much more complex. For effective analysis of the power system, model reduction and aggregation is required. In this paper, a new relation index is presented to identify the coherent generators in the large scale power system. In order to demonstrate the effects of this relation index, it is applied to a small scale power system of IEEE 39-bus test system and the simulation results are presented.

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Application of ANN to Load Modeling in Power System Analysis

  • Jaeyoon Lim;Lee, Jongpil;Pyeongshik Ji;A. Ozdemir;C. Singh
    • KIEE International Transactions on Power Engineering
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    • v.2A no.4
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    • pp.136-144
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    • 2002
  • Load models are very important for improving the accuracy of stability analysis and load flow studies. Various loads are connected to a power bus and their characteristics of power consumption change with voltage and frequency. Thus, the effect of voltage/frequency changes must be considered in load modeling. In this work, artificial neural networks-ANNs- were used to construct the component load models for more accurate modeling. A typical residential load was selected and subjected to a test under variable voltage/frequency conditions. Acquired data were used to construct component models by ANNs. The aggregation process of separately determined load models is also presented in the paper. Furthermore, this paper proposes a method to transform a single load model constructed by the aggregation method into a mathematical load model that can be used in traditional power system analysis software.

A Study on the Dynamic Reduction for Large Power System

  • Kim, Jin-Yi;Won, Dong-Jun;Moon, Seung-Il
    • KIEE International Transactions on Power Engineering
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    • v.12A no.1
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    • pp.1-5
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    • 2002
  • This paper presents the procedure to construct equivalent model of large power system based on nonlinear time simulation responses. It consists of coherency identification, generator aggregation and network reduction. Coherency index that can be directly implemented to this procedure is proposed. Generator aggregation based on detailed model is performed. This procedure can be used to construct equivalent model in PSS/E. It is also possible to reduce the large power system directly from the nonlinear time responses. This procedure is applied to the transient stability analysis of Korea power system that now experiences rapid changes. The equivalent model is compared with the original model in its size, accuracy, speed and performance. This paper shows that the developed equivalent model is a good estimate of the original system.

Platelet Shape Changes and Cytoskeleton Dynamics as Novel Therapeutic Targets for Anti-Thrombotic Drugs

  • Shin, Eun-Kyung;Park, Hanseul;Noh, Ji-Yoon;Lim, Kyung-Min;Chung, Jin-Ho
    • Biomolecules & Therapeutics
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    • v.25 no.3
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    • pp.223-230
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    • 2017
  • Platelets play an essential role in hemostasis through aggregation and adhesion to vascular injury sites but their unnecessary activation can often lead to thrombotic diseases. Upon exposure to physical or biochemical stimuli, remarkable platelet shape changes precede aggregation or adhesion. Platelets shape changes facilitate the formation and adhesion of platelet aggregates, but are readily reversible in contrast to the irrevocable characteristics of aggregation and adhesion. In this dynamic phenomenon, complex molecular signaling pathways and a host of diverse cytoskeleton proteins are involved. Platelet shape change is easily primed by diverse pro-thrombotic xenobiotics and stimuli, and its inhibition can modulate thrombosis, which can ultimately contribute to the development or prevention of thrombotic diseases. In this review, we discussed the current knowledge on the mechanisms of platelet shape change and also pathological implications and therapeutic opportunities for regulating the related cytoskeleton dynamics.

A Privacy-preserving Data Aggregation Scheme with Efficient Batch Verification in Smart Grid

  • Zhang, Yueyu;Chen, Jie;Zhou, Hua;Dang, Lanjun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.2
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    • pp.617-636
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    • 2021
  • This paper presents a privacy-preserving data aggregation scheme deals with the multidimensional data. It is essential that the multidimensional data is rarely mentioned in all researches on smart grid. We use the Paillier Cryptosystem and blinding factor technique to encrypt the multidimensional data as a whole and take advantage of the homomorphic property of the Paillier Cryptosystem to achieve data aggregation. Signature and efficient batch verification have also been applied into our scheme for data integrity and quick verification. And the efficient batch verification only requires 2 pairing operations. Our scheme also supports fault tolerance which means that even some smart meters don't work, our scheme can still work well. In addition, we give two extensions of our scheme. One is that our scheme can be used to compute a fixed user's time-of-use electricity bill. The other is that our scheme is able to effectively and quickly deal with the dynamic user situation. In security analysis, we prove the detailed unforgeability and security of batch verification, and briefly introduce other security features. Performance analysis shows that our scheme has lower computational complexity and communication overhead than existing schemes.

Cluster Based Clock Synchronization for Sensor Network

  • Rashid Mamun-Or;HONG Choong Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07a
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    • pp.415-417
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    • 2005
  • Core operations (e.9. TDMA scheduler, synchronized sleep period, data aggregation) of many proposed protocols for different layer of sensor network necessitate clock synchronization. Our Paper mingles the scheme of dynamic clustering and diffusion based asynchronous averaging algorithm for clock synchronization in sensor network. Our proposed algorithm takes the advantage of dynamic clustering and then applies asynchronous averaging algorithm for synchronization to reduce number of rounds and operations required for converging time which in turn save energy significantly than energy required in diffusion based asynchronous averaging algorithm.

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Dynamic Equivalents of the KEPCO System for the Stability Analysis

  • Lee, Hanmin;Kwon, Sae-hyuk;Gilsoo Jang;Lee, Byongjun;Byunghun Chang
    • KIEE International Transactions on Power Engineering
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    • v.12A no.1
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    • pp.20-25
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    • 2002
  • This paper deals with the development of dynamic equivalents of the Korea Electric Corporation (KEPCO) systems. Several coherency identification methods are studied in order to find a proper method to well represent the dynamic characteristics of the KEPCO system. Also, this paper presents the comparison of the detail and classical aggregation methods in terms of the dynamic and static characteristics of the system. The nonlinear time simulation of the developed KEPCO equivalent system and the original system is performed to illustrate the validity of the equivalent system.