Applied Mechanics and Materials Vols. 433-435

Abstract: Considering the problems with the conventional Bag-of-Visual-Words approaches, such as high time consumption, the synonymy and ambiguity of visual word, and instability of clustering high-dimensionality image local features, this paper presents a novel object classificaiton approach based on randomized visual vocabulary and clustering aggregation. Firstly, Exact Euclidean Locality Sensitive Hashing (E2LSH) is used to cluster local features of the training dataset, and a group of randomized visual vocabularies is constructed. Then, the randomized visual vocabularies are aggregated using clustering aggregation technique, resulting in Randomized Visual Vocabularies Aggregating Dictionary (RVVAD). Finally, the visual words histogram is generated according to the dictionary, and the Support Vector Machines are learned to accomplish image object categorization. Experimental results indicate that the expression ability of the dictionary is effectively improved, and the object classification precision is increased dramatically.

Abstract: the study of Gene expression regulation network is expected to fully disclose function and behavior of the genome from the perspective of system. Now, Gene expression regulation network construction methods include Boolean networks, linear combination, the weighted matrix, Bayesian networks and differential equation, And so on, These methods are real abstraction of gene expression regulation network at different levels. Boolean network is qualitative research network of gene expression regulating, And Differential equation is quantified to describe biological processes by detailed mathematical analysis , But the lack of ability to resist noise, Large amount of calculation and poor robust performance. Bayesian network model is a compromise between the two extreme models. construction of gene expression regulation network is the research hotspot of bioinformatics by Bayesian network.

Abstract: The purpose of our research on gene expression regulation network that Is expected to fully disclose the genome from the perspective of system functionality and behavior, In essence, the Gene expression regulation network is a complex network, We study gene expression regulation network by the complex network theory, network properties of Research the network as average path length, Focus coefficient, Degree distribution, Scale-free feature and Small world effect ,etc, the Biological significance of the research is that Trying to complex systems point of view as a starting point , the network topology structure of interaction between them from the Angle of the relationship between genes, proteins, Reveals the complex mechanism and functional information.

Abstract: In order to settle the influence of measuring results of cells with its shape-variety in the examination of biological cell, MCEM (modify co-central ellipse model) is adopted based on the theories of Rayleigh-Debye-Gans, and the changing tendency of scattering phase function of nucleated cells with different body factor, nuclear size and shooting angle are studied. These provide a useful theory foundation for improving the measurement and distinguishing of biological cell.

Abstract: Autonomous rendezvous and docking (ARD) plays a very important role in planned space programs such as on-orbit construction and assembly, refueling of satellites, repairing or rescuing failed satellites, active removal of space debris, autonomous re-supply and crew exchange of space stations, and so on. However,the success of ARD rests with the estimation accuracy and efficiency of relative pose among various spacecraft in rendezvous and docking. In this paper, a high accuracy and efficiency estimation algorithm of relative pose of cooperative space targets is presented based on monocular vision imaging, in which a modified gravity model approach and multiple targets tracking methods are employed to improve the accuracy of feature extraction and enhance the estimation efficiency, moreover the Levenberg-Marquardt method (LMM) is used to achieve a well global convergence. The comprehensive experiment results demonstrate its outstanding predominance in estimation accuracy and efficiency.

Abstract: This paper presents a total nitrogen (TN) detection system based on electrochemical measurement. This system integrates a three-electrode system and a specially designed detection circuit. The dynamic response characteristic of the three-electrode system during TN electrochemical determination process was studied. The equivalent circuit of the three-electrode system was used to analyze factors of interference and signal instability. Through theoretical derivations and experimental proof, a time-domain model of signal response was established and two main factors, electric double layer capacitor and holding time, were put forward. Smooth and steady signal was achieved by optimizing these two main factors. Water sample of Taihu Lake was detected by this developed TN detection system with acceptable accuracy.

Abstract: Gait rehabilitation is an important process of medical treatments on lower extremity injuries for human neuromusculoskeletal system. Benefiting from the medical device automation technology in recent years, robots achieve the rehabilitation in a professional, precise and continuous manner by integrating mechatronics, automation, computer science and communication technologies, improving the qualities provided by human therapists, the labor-intensive works. This research proposes a Stewart Platform-based measurement system for human gait rehabilitation and test purposes. Related works are collected and analyzed, fetching a brief understanding of the market. Human gait model is constructed in 3D Studio Max and the CAD model is established in Solidworks. This research forms the mathematic models of kinetics and dynamics and performs the footplate posture simulations by using these models.

Abstract: Acoustic emission (AE) technique was employed to monitor the low temperature degradation (LTD) behavior of a zirconia ceramic, which was carried out in air at 200°C. AE signals, typical waveform of which exhibited as pulse-like type, were detected during LTD and increased with the duration time of LTD. The AE signal of accumulative counts number and amplitude in time domain exhibited a roughly sigmoid variation including three stages, which reflect approximately the evolution of LTD. The AE findings were supported by X-ray diffraction (XRD) examination. It was suggested that AE technique can be used to monitor the mechanism of LTD of zirconia ceramics.

Abstract: To accomplish the requirement of Coking Coal Company, we design proportioning belt weighing [1] and its instrument; it also can be used in metallurgy and material industries. The instrument controller is comprised of microcontroller, signal processing unit, shaping circuit, real time clock and so on, its program arithmetic adopt integral separation position PID with dead band .the whole proportioning weighing instrument can not only show accumulative value but also adjust the quantity of instantaneous materials. Last, the result of experiment meet fully the GB/T 7724-1999 standard for the proportioning belt weighting instrument displaying controller requirements.

Abstract: Based on the serial communication between PC and PLC, design and realization of the electrical control system of testing zinc tank inner wall corrosion degree, PLC control ac servo motors to complete inspection equipment XYZ three direction, testing data via the PLC by sensors, then through a serial port to PC, PC complete error analysis, curved surface fitting, etc , realize the internal corrosion degree of detection.