Applied Mechanics and Materials Vols. 536-537

Abstract: In this paper, according to several common temperature sensors in the industrial field a temperature transmitter based on the reconfigurable field programmable gate array (FPGA) has been designed to ensure that a single device which can meet the requirements of the various applications. The transmitter can quickly and automatically identify the sensor type (ST) and connection type (CT) of external temperature sensor (ETS). It then can automatically search the reconfiguration scheme by reconfiguration identification and reconfiguration planning. The transmitter also reconfigures its inner structure by auto-deployment. Therefore, acquisition and processing the temperature with different ST and CT can be realized. In addition, a physical prototype is developed, and the effectiveness of the temperature transmitter with autonomous reconfiguring function (TTARF) is verified in the resistance temperature detector (RTD) application. The whole reconfiguration process is fully automated without human intervention.

Abstract: Damage alarm is an important step among structure damage identification. Its objective is to evaluate the structure health. the existing damage alarm methods are mostly based on BPNN without thinking over testing noise. Therefore, a new method based on hybrid algorithm RBFNN is proposed for structure damage alarm system in this paper. The experiment results of steel truss girder bridge show that the new method is better than BPNN for structural damage alarm.

Abstract: Sine wave signal is a kind of typical electronic technology signal waveform, and frequency, amplitude and phase are three elements of the sine wave respectively. In order to measure the elements more accurately, scientific research methods is adopt in the design. Based on high precision of peak detection circuit combined with MSP430 MCU, the circuit for measuring frequency and amplitude of sine wave signal is implemented, and the results could be shown in the display circuit at the same time. The circuit can work within the 1kHz - 20kHz and 240mV - 5V sine wave signal, and has display circuit, which can display accurate measurement results, to achieve human-computer interaction.

Abstract: In this paper the design of the waveform generator is introduced, and its frequency and amplitude is adjustable. Using the most commonly used 89C51 microcontroller, AD conversion chip ADC0809 and DDS chip AD9850, the generator can produce more accurate wave signal, and can realize the analog regulator of the frequency and amplitude.

Abstract: In this paper, we present a new MAC protocol, called Low-Latency MAC (LL-MAC) protocol for muti-hop Wireless Sensor Networks. The LL-MAC is designed for the object tracking applications such as animal invasion, flight detection and wild animal detection. In these applications, the object appearance event does not occur frequently. But when an event occurs, many measured data by sensor nodes should be sent to a sink node as soon as possible. LL-MAC uses duty cycling contention-based MAC protocol. The operational cycle is divided into four periods: Sync, carrier sensing, Data, and Sleep. The Sleep period will be increased to send more packets by sender node when a target object appearance occurs. And a status bit in PION packet is used to indicate target appearance by the sender node. If this status bit is set to 1, all nodes know an object appearance and adjust their Sleep period to two times longer. After sending data packets, the sender node goes into sleep mode and wake ups again in two times slot times to send more data. Results showed that our LL-MAC protocol outperformed other protocols in terms of data packet delivery delay.

Abstract: This essay introduces the concept, principle and step of computer dynamic forensics, then proposed a computer dynamic forensics system model, and aims at the question which the computer dynamic forensics faces in the data analysis stage, the data mining technology applies to magnanimous data analysis in the computer dynamic forensics, it can effectively enhancement the data analysis speed, the analysis accuracy and the analysis intelligence, solute dynamic forensics usability, the validity, compatibility and extended question.

Abstract: Chinese-foreign cooperation in running schools is an important way to promote education reform and development in our country. In this paper, we use the K-Means clustering in data mining method to analyze the data, and data warehouse and the acquisition of knowledge, analyzing the development of sino-foreign cooperation in running schools in China. This article first to 1452 papers in CNKI knowledge base, data warehouse is generated, using the K-Means type algorithm and similarity algorithm, development trend of Chinese-foreign cooperation in running schools, Chinese-foreign cooperation in running schools national distribution, sino-foreign cooperation in running schools, Chinese-foreign cooperation in running schools in domestic distribution of the four aspects are analyzed.

Abstract: Common gene data usually have the larger number of variables p (genes) than the numbers of samples N, which makes it difficult to do the classification by standard statistical methods. In this paper, the original datas dimension was reduced from the high p-dimensional gene space to a lower k-dimensional gene space, and then would be classified by SVM (Support Vector Machine). Several methods were used for dimensional reduction, such as PCA (Principle Component Analysis), MDS (Multi-Dimensional Scaling). The experiments showed that classification accuracy had been improved after the original datas dimension being reduced to a specific number

Abstract: According to the poor code quality,low render low efficiency, and limited scalability of virtual human drive mechanism and other problems, 3D rendering engine Open Scene Graph(OSG) has realized the efficient simulation and expression of virtual human action.Firstly, on the basis of the skeletal animation and spherical interpolation algorithm to achieve the virtual human motion animation.Then design the generating methods of the virtual facial expression animation related to the behavior consciousness by using three Bessel interpolation algorithm and based on deformation animation technology.Finally by using the animation technology in the OSG,the synthesis of virtual human motion and expression is realized based on the parameter control.Experience confirms that under the same number of scene nodes, using OSG engine code is more concise, and render faster.

Abstract: Ontology matching is a core task to enable interoperability between ontologies. In this paper, we propose a method for large scale ontology partitioning and block matching based on improved ROCK clustering. At first, two ontologies are partitioned based on improved ROCK clustering. Then we adopt block matching strategies based on taxonomy and anchors, and obtain matching results. Finally, we present experimental results with high matching quality and point out future possible research directions.