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Search Results: 1 - 10 of 39107 matches for " Jianping Lin "
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Finite-time synchronization of non-autonomous chaotic systems with unknown parameters
Jianping Cai,Meili Lin
Physics , 2009,
Abstract: Adaptive control technique is adopted to synchronize two identical non-autonomous systems with unknown parameters in finite time. A virtual unknown parameter is introduced in order to avoid the unknown parameters from appearing in the controllers and parameters update laws. The Duffing equation and a gyrostat system are chosen as the numerical examples to show the validity of the present method.
Factors That Affect the Computational Prediction of Hot Spots in Protein-Protein Complexes  [PDF]
Jianping Lin, Pi Liu, Hua-Zheng Yang, Nagarajan Vaidehi
Computational Molecular Bioscience (CMB) , 2012, DOI: 10.4236/cmb.2012.21003
Abstract: Protein-protein complexes play an important role in the physiology and the pathology of cellular functions, and therefore are attractive therapeutic targets. A small subset of residues known as “hot spots”, accounts for most of the protein-protein binding free energy. Computational methods play a critical role in identifying the hotspots on the proteinprotein interface. In this paper, we use a computational alanine scanning method with all-atom force fields for predicting hotspots for 313 mutations in 16 protein complexes of known structures. We studied the effect of force fields, solvation models, and conformational sampling on the hotspot predictions. We compared the calculated change in the protein-protein interaction energies upon mutation of the residues in and near the protein-protein interface, to the experimental change in free energies. The AMBER force field (FF) predicted 86% of the hotspots among the three commonly used FF for proteins, namely, AMBER FF, Charmm27 FF, and OPLS-2005 FF. However, AMBER FF also showed a high rate of false positives, while the Charmm27 FF yielded 74% correct predictions of the hotspot residues with low false positives. Van der Waals and hydrogen bonding energy show the largest energy contribution with a high rate of prediction accuracy, while the desolvation energy was found to contribute little to improve the hot spot prediction. Using a conformational ensemble including limited backbone movement instead of one static structure leads to better predicttion of hotpsots.
Global Synchronization in Complex Networks with Adaptive Coupling
Zhengzhong Yuan,Jianping Cai,Meili Lin
Mathematical Problems in Engineering , 2010, DOI: 10.1155/2010/826721
Abstract: Global synchronization in adaptive coupling networks is studied in this paper. A new simple adaptive controller is proposed based on a concept of asymptotically stable led by partial state variables. Under the proposed adaptive update law, the network can achieve global synchronization without calculating the eigenvalues of the outer coupling matrix. The update law is only dependent on partial state variables of individual oscillators. Numerical simulations are given to show the effectiveness of the proposed method, in which the unified chaotic system is chosen as the nodes of the network with different topologies.
Ant-Based Reliable Multi-Constrained Anycast Routing for Sensor Networks
Jianping Yu,Yaping Lin,Yong Wang
International Journal of Distributed Sensor Networks , 2009, DOI: 10.1080/15501320802523906
Abstract: Wireless sensor networks (WSNs) are task-specific where the tasks are specified by the users or applications. Energy and delay constraints have had a great impact on the design and operation of the WSNs. As routing plays an important role in data-centric WSNs, there are numerous energy aware routing protocols proposed for WSNs with single sink, generally using multi-hop paths to use the energy more efficiently. But most of them do not consider the communication delay carefully. As many applications of WSNs require real-time communication, the end-to-end delivery delay is another point to be considered, especially for urgent events. When considering the multiple QoS constraints such as the delivery delay and the minimal energy required, the multi-constrained routing is NP-hard.
Ant-Based Delay-Sensitive Query Processing for Wireless Sensor Networks
Jianping Yu,Yaping Lin,Yupeng Hu
International Journal of Distributed Sensor Networks , 2009, DOI: 10.1080/15501320802520647
Abstract: The technologies of wireless sensor networks (WSNs) have been developed rapidly in the most recent years. As WSNs are characterized by data-centric storage and routing under most circumstances, any application involved requires data management and processing technologies, especially the query processing mechanisms. The WSNs are often deployed in diverse application specific contexts, which can be treated as distributed databases. The event-involved responses can be obtained by issuing queries to this kind of database. Certain of the applications with real-time requirement have tight constraints on query delay. However, the existing query algorithms are not satisfied with them. The problem we focus on can be simply described as: once an event has happened, how to optimize the replication energy cost due to storing the event data from the event source to multiple positions and how to optimize the searching energy cost and query delay due to finding one replica of the event and copying the event data on demand if subsequent queries for the event are performed.
Finite-Time Combination-Combination Synchronization for Hyperchaotic Systems
Huini Lin,Jianping Cai,Jincheng Wang
Journal of Chaos , 2013, DOI: 10.1155/2013/304643
Abstract: A new type of finite-time synchronization with two drive systems and two response systems is presented. Based on the finite-time stability theory, step-by-step control and nonlinear control method, a suitable controller is designed to achieve finite-time combination-combination synchronization among four hyperchaotic systems. Numerical simulations are shown to verify the feasibility and effectiveness of the proposed control technique. 1. Introduction As a new subject in 1980s, chaos almost covers all the fields of science. It is known that chaos is an interesting nonlinear phenomenon which may lead to irregularity and unpredictability in the dynamic system, and it has been intensively studied in the last three decades. Since Pecora and Carroll proposed the PC method to synchronize two chaotic systems in 1990 [1, 2], the study of synchronization of chaotic systems has been widely investigated due to their potential applications in various fields, for instance, in chemical reactions, biological systems, and secure communication. Over the past decades, a variety of control approaches such as adaptive control [3], linear feedback control [4], active control [5], and backstepping control [6] have been proposed for various types of synchronization, which include complete synchronization [7], projective synchronization [8, 9], general synchronization [10], lag synchronization [11], and novel compound synchronization [12]. Most of the aforementioned works are based on the synchronization scheme which consists of one drive system and one response system and can be seen as one-to-one system. However, we found it not secure and flexible enough in many real world applications, for instance, in secure communication. Recently, Runzi et al. presented a new type of synchronization with two drive systems and one response system [13]. Then, Sun et al. extended multi-to-one system to multi-to-two systems and reported a new type of synchronization, namely, combination-combination synchronization, where synchronization is achieved between two drive systems and two response systems [14]. The type of synchronization can improve the security of communication; for instance, we can split the transmitted signals into several parts, then load each part in different drive systems, and then restore it to the original signals by combining the received signals of different response systems correctly. Notice that the mentioned literatures mainly investigated the asymptotic synchronization of chaotic systems. However, in the view of practical application, optimizing the synchronization
Finite-time synchronization between two different chaotic systems with uncertainties
Meili Lin,Zhengzhong Yuan,Jianping Cai
Physics , 2009,
Abstract: A new method of virtual unknown parameter is proposed to synchronize two different systems with unknown parameters and disturbance in finite time. Virtual unknown parameters are introduced in order to avoid the unknown parameters from appearing in the controllers and parameters update laws when the adaptive control method is applied. A single virtual unknown parameter is used in the design of adaptive controllers and parameters update laws if the Lipschitz constant on the nonlinear function can be found, while multiple virtual unknown parameters are adopted if the Lipschitz constant cannot be determined. Numerical simulations show that the present method does make the two different chaotic systems synchronize in finite time.
Case Report of Ectopic Pregnancy during Controlled Ovarian Stimulation without Oocytes Harvested and Late Ovarian Hyperstimulation Syndrome  [PDF]
Hui Lin, Wen He, Jie Lv, Chanlin Han, Li Sun, Jianping Ou, Liuhong Cai
Advances in Reproductive Sciences (ARSci) , 2018, DOI: 10.4236/arsci.2018.63008
Abstract: Here we reported a rare case of misdiagnosed ectopic pregnancy (EP) due to unintended ovulation during controlled ovarian stimulation (COS) in GnRH agonist cycle, resulting in no oocytes harvested and late hyper-stimulation syndrome (OHSS). The patient was a 33-year old primary infertile woman due to male’s factors and underwent her second in vitro fertilization (IVF) cycle using GnRH agonist protocol, and no oocytes harvested on ovum picked-up (OPU) day. The start of gonadotropin usage was on day 8th of her period, and the P level increased rapidly and strangely high from day 8th after gonadotropin usage. The E2 level and follicles grew normally but finally no oocytes harvested. She was diagnosed as late ovarian hyper-stimulation syndrome (OHSS) 7 days after OPU. 20 days after OPU, no menstruation come and a positive urine test of hCG were reported. And the patient was diagnosed as EP by laparoscopy. In conclusion, rapidly increased P level, no oocyte retrieval and late onset of OHSS should be very important clues to diagnose this misdiagnosed EP.
The Ability of PVX p25 to Form RL Structures in Plant Cells Is Necessary for Its Function in Movement, but Not for Its Suppression of RNA Silencing
Fei Yan,Yuwen Lu,Lin Lin,Hongying Zheng,Jianping Chen
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0043242
Abstract: The p25 triple gene block protein of Potato virus X (PVX) is multifunctional, participating in viral movement and acting as a suppressor of RNA silencing. The cell-to-cell movement of PVX is known to depend on the suppression function of p25. GFP-fused p25 accumulates in rod-like (RL) structures with intense fluorescence in cells. By monitoring the location of fluorescence at different times, we have now shown that the RL structure is composed of filaments. P25 mutants without the conditional ability to recover movement function could not form RL structures while the mutants that had the ability did form the structure, suggesting that the ability of p25 to form RL structures is necessary for its function in cell-to-cell movement, but not for its suppressor function. Moreover, chemical inhibition of microfilaments in cells destroyed the formation of the complete RL structure. Additionally, TGBp2 and TGBp3 were recruited into the RL structure, suggesting a relationship between the TGBps in virus movement.
Improved Quantum-Behaved Particle Swarm Optimization  [PDF]
Jianping Li
Open Journal of Applied Sciences (OJAppS) , 2015, DOI: 10.4236/ojapps.2015.56025
Abstract: To enhance the performance of quantum-behaved PSO, some improvements are proposed. First, an encoding method based on the Bloch sphere is presented. In this method, each particle carries three groups of Bloch coordinates of qubits, and these coordinates are actually the approximate solutions. The particles are updated by rotating qubits about an axis on the Bloch sphere, which can simultaneously adjust two parameters of qubits, and can automatically achieve the best matching of two adjustments. The optimization process is employed in the n-dimensional space [-1, 1]n, so this approach fits to many optimization problems. The experimental results show that this algorithm is superior to the original quantum-behaved PSO.
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