Your search for: 'author:("Zhang, Ling")' has returned 24 results. (0.036s) Save search

Authors: Zhang, Ling | Zhang, Bo

Article Type: Research Article

Abstract: The paper introduces a framework of quotient space theory of problem solving. In the theory, a problem (or problem space) is represented as a triplet, including the universe, its structure and attributes. The problem spaces with different grain sizes can be represented by a set of quotient spaces. Given a problem, the construction of its quotient spaces is discussed. Based on the model, the computational complexity of hierarchical problem solving and the information combination are also dealt with. The model can also be extended to the fuzzy granular world.

Keywords: quotient space, problem solving, granular computing, hierarchy

Citation: Fundamenta Informaticae, vol. 59, no. 2-3, pp. 287-298, 2004

Authors: Zhang, Ling | Liang, Faze

Article Type: Research Article

Abstract: At present, the body recognition detection of athletes is mostly technical recognition, and the detection of exercise state is less, and the related research is basically blank. Based on this, based on BP neural network algorithm, this study develops athletes’ motion capture based on wearable inertial sensors, and builds a wireless signal transmission scheme based on sensor system. At the same time, this paper constructs the coordinate system to complete the attitude angle settlement and motion recognition and combines the athlete’s actual situation to establish the athlete’s limb trajectory calculation model and analyzes the athletes’ movement patterns. In addition, this …paper combines neural network algorithm to analyze, and builds a neural network based athlete body motion recognition model, and analyzes the model effectiveness through simulation system. Studies have shown that when using time domain features+trajectory features as neural network inputs, the hand recognition rate is somewhat improved compared to the use of only time domain features as neural network inputs. It can be seen that the algorithm model of this study has certain validity and can be used as a reference for subsequent related research gradient theory. Show more

Keywords: BP neural network, athletes, limb recognition, motion capture

DOI: 10.3233/JIFS-189229

Citation: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 2, pp. 2325-2335, 2021

Authors: Zhang, Ling | Sheng, Shuli | Qin, Chuan

Article Type: Review Article

Abstract: The expression of histone deacetylase 6 (HDAC6)—a versatile enzyme with a known role in epigenetics—increases significantly in the hippocampus and other relevant brain regions in both patients with Alzheimer's disease (AD) and animal models of AD. However, when and how HDAC6 expression increases during the course of AD progression remains unclear. Whether HDAC6 overexpression is an underlying cause of AD or a condition resulting from AD is controversial. Mounting evidence suggests that increased HDAC6 expression contributes to AD-associated neurodegeneration, although beneficial effects have also been identified. This review article addresses recent research on HDAC6 structure and function, and highlights the …potential detrimental and protective roles of HDAC6 overexpression in AD. We hope to shed light on whether HDAC6 overexpression is associated with AD etiopathogenesis or whether it rescues AD-associated neurodegeneration compensatorily. Furthermore, we discuss new evidence showing that HDAC6 may be a therapeutic target for AD. Show more

Keywords: Alzheimer's disease, autophagy, deacetylation, histone deacetylase 6 (HDAC6), neurodegeneration

DOI: 10.3233/JAD-2012-120727

Citation: Journal of Alzheimer's Disease, vol. 33, no. 2, pp. 283-295, 2013

Authors: Zhang, Ling | Yan, Mingyu | Zeng, Yanjun

Article Type: Research Article

Abstract: Fatigue may lead to potential accidents, but its diagnosis is difficult so it is easy to be delayed or missed. In this paper, a novel 3D facial-image-based fatigue detection method is presented. There are three steps involved: First, 3D surface curvature-based methods are combined with some 2D image-based methods to locate the position of facial fatigue feature points on the facial 3D image-based model, which is reconstructed based on a pair of binocular facial images. Secondly, facial fatigue features, such as eye blink, gaze direction, mouth morphology, and facial expressions are extracted from the facial 3D image-based model by the …corresponding extraction methods. Finally, together with N-times sampling data, the attribute value of each facial fatigue feature is calculated, and then integrated together to recognize fatigue by linear discriminant analysis (LDA) algorithm. The following experimental results show that compared with only 2D image-based method, the accurate location of facial feature points, attribute value's calculation, and fatigue's fusion detection are obviously improved using the method presented in this paper. Show more

Keywords: Binocular vision, 3D point location, fatigue detection, facial fatigue feature, gaussian curvature, fusion recognition

DOI: 10.3233/ICA-140476

Citation: Integrated Computer-Aided Engineering, vol. 21, no. 4, pp. 387-397, 2014

Authors: Tan, Simin | Zhang, Ling | Sheng, Yuhong

Article Type: Research Article

Abstract: This paper mainly discusses the extinction and persistent dynamic behavior of infectious diseases with temporary immunity. Considering that the transmission process of infectious diseases is affected by environmental fluctuations, stochastic SIRS models have been proposed, while the outbreak of diseases is sudden and the interference terms that affect disease transmission cannot be qualified as random variables. Liu process is introduced based on uncertainty theory, which is a new branch of mathematics for describing uncertainty phenomena, to describe uncertain disturbances in epidemic transmission. This paper first extends the classic SIRS model from a deterministic framework to an uncertain framework and constructs …an uncertain SIRS infectious disease model with constant input and bilinear incidence. Then, by means of Yao-Chen formula, α-path of uncertain SIRS model and the corresponding ordinary differential equations are obtained to introduce the uncertainty threshold function R 0 * as the basic reproduction number. Moreover, two equilibrium states are derived. A series of numerical examples show that the larger the value of R 0 * , the more difficult it is to control the disease. If R 0 * ≤ 1 , the infectious disease will gradually disappear, while if R 0 * > 1 , the infectious disease will develop into a local epidemic. Show more

Keywords: Uncertainty theory, SIRS epidemic model, basic reproduction number, asymptotic behavior

DOI: 10.3233/JIFS-223439

Citation: Journal of Intelligent & Fuzzy Systems, vol. 45, no. 5, pp. 9083-9093, 2023

Authors: Wang, Ruoyu | Liu, Zhen | Tao, Ming | Zhang, Ling

Article Type: Research Article

Abstract: IBR (Internet Background Radiation) traffic identification is significant for malicious behavior detection. This paper presents a novel IBR traffic identification method since traditional methods depend on tough conditions, such as full bi-direction traffic or unassigned IP address space. We firstly explored the traffic source distribution of each destination IP on a traffic dataset, and found that the traffic sources of active IPs are relatively certain but that of inactive IPs are relatively uncertain. Secondly, based on this exploration results, we present a method to identify IBR traffic. It utilizes the presented metric to evaluate the certainty of traffic sources of …a destination IP, so as to identify inactive IPs. Then it detects IBR traffic according to some heuristics built according to malicious traffic behavior patterns. We carried out several experiments to evaluate our method on real traffic datasets, and results show that it obtains 99% precision and 0.1% omission rate on detecting IPv4 IBR traffic. The detected IBR traffic includes the traffic that sent to assigned IPs besides unassigned IPs, which is more valuable and practical for detecting the malicious traffic in real networks. Show more

Keywords: Internet background radiation traffic, malicious behavior, information entropy, network management

DOI: 10.3233/JHS-150512

Citation: Journal of High Speed Networks, vol. 21, no. 2, pp. 107-120, 2015

Authors: Ni, Na | Zhang, Ling | Wang, Yin | Shi, Lixin | Zhang, Chi

Article Type: Research Article

Abstract: Structural health monitoring plays a crucial role in maintaining the long lifespan of large-scale infrastructure. In this paper, a new type of sensing technique for localized structural damage is proposed. This technology can be adopted to measure cracks by using a transparent capacitive sensor. The capacitive sensor is fabricated using a dielectric elastomer with attached stretchable transparent electrodes. The electrodes are ionic conductors. The materials of the sensor are transparent and inexpensive, which make the sensory sheets a feasible application for large surfaces without impeding optical signals. The performance transparency of the sensor is beneficial to visually detect the expansion …of cracks through other non-destructive testing technologies. An experiment was conducted to determine the robustness of the capacitive sensor. Tests on perspex sheet and over-reinforced concrete beam demonstrated the ability of the sensor to detect strains and cracks over the surface that it covered. Show more

Keywords: Capacitive sensor, structure health monitoring, ionic skin

DOI: 10.3233/JAE-162215

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 52, no. 3-4, pp. 1577-1584, 2016

Authors: Zhang, Ling-Yu | Ren, Jia-Dong | Li, Xian-Wei

Article Type: Research Article

Abstract: Ontology integration is an important work when several heterogeneous ontologies share or exchange their knowledge. It takes the two heterogeneous ontologies as input, and carries out three important steps: (1) creating mappings for the similar concepts from different ontologies based on the similarity calculation; (2) merging the mapped concepts into a new one, and generating a network-based model, called integrated model; (3) reconstructing the integrated model in order to obtain an integrated ontology (a tree-based model). However, the methods of merging concepts and generating integrated ontology have not been well discussed. To this end, this paper proposes an Ontology Integration …Method based on Semantic Mapping, called OIM-SM. Firstly, OIM-SM calculates similarities for the concept-pairs, in which concepts are from different ontologies, and creates semantic equivalent mappings for the concept-pairs based on their similarities. For the mapped concepts, OIM-SM merges them to generate an integrated model. Then, the merged concepts are used to split the integrated model into blocks. Finally, OIM-SM re-aligns the concepts in the same block by analyzing the semantic relationships among them, in order to generate an integrated ontology. Some ontologies from the real world are used to test OIM-SM, and the results indicate that OIM-SM performs encouragingly well in the aspect of ontology integration. Show more

Keywords: Ontology integration, semantic mapping, network-based model, block

DOI: 10.3233/JIFS-161553

Citation: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 3, pp. 1983-1995, 2017

Authors: Zhang, Ling | He, Fu-gui | Zhang, Yan-ping | Zhao, Shu

Article Type: Research Article

Abstract: The optimal path finding problem in weighted edge networks is an old and interesting one in many fields. There were many well-known algorithms to deal with that issue. But they were confronted with the high computational complexity while the network becoming larger. We present a hierarchical quotient space model based algorithm that reduces the computational complexity. The basic idea is the following. The nodes of a given network are partitioned with respect to the weights of their adjacent edges. We construct a variety of coarser versions of the given network with new nodes corresponding to the blocks of partitions at …various levels of granularity. They are called the quotient spaces (networks) of the original network. The construction of the (sub- )optimal path is then done incrementally, throughout the hierarchy of quotient networks. Since each version of the network is much simpler than the original one, especially of the coarsest spaces, the computational complexity is reduced. In this paper, we present the basic principles of the algorithm and its experimental comparison to other well-known algorithms. Show more

Keywords: The path finding, weighted network, granularity, quotient space, computational complexity

DOI: 10.3233/FI-2009-113

Citation: Fundamenta Informaticae, vol. 93, no. 4, pp. 459-469, 2009

Authors: Xue, Xiaomin | Sun, Qing | Zhang, Ling | Wu, Xiaohong | Zhang, Lei

Article Type: Research Article

Abstract: Experimental study of the MR damper which is designed and made in our laboratory is introduced in this paper. The experimental results indicate that the mechanical behaviour of the MR damper displays remarkably nonlinear hysteretic characteristics. In order to characterize this nonlinear system, the present study sets out to propose a simplified Bouc-Wen model and then adopt genetic algorithm to identify its parameters. The experimental data of the MR damper responses verify that the proposed approaches are capable of efficient computations and accurate parameter estimation. Also suggested are the implications of the present study on other novel smart dampers.

Keywords: MR damper, Bouc-Wen model, parameter identification, sensitivity analysis, genetic algorithm

DOI: 10.3233/JAE-2010-1111

Citation: International Journal of Applied Electromagnetics and Mechanics, vol. 33, no. 1-2, pp. 175-181, 2010