Applied Mechanics and Materials Vols. 347-350

Abstract: Based on uni-vector-sensor, a new algorithm was proposed for two-dimension (2-D) direction of arrival (DOA) and polarization of the wideband cyclostationary sources embedded in colored noise. By sufficiently utilizing the cyclostationarity of the signals, the proposed method not only performed signal selective DOA, but also suppressed additive colored noise and wideband interference. The signal detection capability is significantly improved. Simulations illustrate the efficacy of the algorithm.

Abstract: The fault injection technology is an important aspect in testability verification, because the actual fault injection in equipment can damage itself, so using circuit simulation fault injection method to instead. Research on the simulation method that based on PSPICE, using VC++ software to design a simulated fault injection system, its structure and function to achieve workflow introduced. Finally, taking a circuit for example uses the system to fault injection and analysis to prove the availability and correctness of the system.

Abstract: In view of the contradiction between real-time image acquisition and energy restriction in capsule endoscopy design at present, a video capsule endoscopy system based on sleep mode was designed in compromised method. Hardware and software parts inside the system were designed and studied to realize segmented real-time function of the video capsule endoscopy in the way of dormancy and power outages. So the work time of the video capsule endoscopy would be extended. A prototype was developed which total size was just Φ12mmx25mm, so that it was easy to be swallowed. In the vitro test, the video capsule endoscopy system could work over 9h in one second dormancy mode. The video capsule endoscopy prototype could interval real-time acquire the pig intestine internal image clearly in pig intestine experiment instead of human intestine. Tests and experiments show that these scheme and designs were feasible.

Abstract: The semiconductor laser night imaging system introduced in this paper is an active imaging system. The system using laser as light source,can get the night scene in total darkness conditions at night. So this system has been widely used in the field of public security and vehicle recognition.This system is composed of semiconductor laser diode array, laser transmitting and receiving optical system, camera receiver and DSP system and so on. The main character of this system is the technology of non-scanning laser imaging to obtain laser range images, and then the images are under the treatments of real-time collection, storing, superpose filtering, and characteristics extraction. With the program of centroid coordinate of the target, the optical axis of the optical system will be in coincidence and the action order will be formed.

Abstract: The development of science and technology promotes the development of industrial and the change of idea and thoughts. Combined with the computer technology and information technology development, a lot of scientific technologies achieved huge improvement. In this context, simulation technology has also made a comprehensive and in-depth development, especially in the design and application of the all-digital flight simulation platform. The building of all-digital flight simulation platform has greatly helped pilots' flying in the complex environment, which has important significance to reducing the flight costs, enhancing the pilot combat techniques, etc. In particular, the development and utilization of the UAV will greatly promote the combat capability of the Air Force, and has great significance to enhance the country's military level.

Abstract: The traditional method of wireless sensor network fault diagnosis based on linear modeling rather than actually complicated and nod-linear relationship results in error data and leads to wrong decisions, therefore, this paper presents a sensor fault diagnosis method based on ARIMA and LSSVM integration control system which used to diagnosis sensor fault whose results are input LSSVM to fusion and get the final results of fault diagnosis. The simulation test results show that the proposed method improves the sensor node fault diagnosis accuracy, reduce the false negative rate and false positive rate.

Abstract: With Internet of things applies in more and more fields, application of UWB technology is very significant because the network sensory information is needs increasingly. The tolerance of UWB system for timing error interference is much lower than conventional systems because the information is transmitted through a very narrow pulse in UWB system. This paper studies timing effect of UWB system in Internet of things by the means of PPM modulation and time-hopping multi-access, and the experimental results show the impact of different timing error on the performance of system.

Abstract: One of the critical tasks in designing a wireless sensor network is to monitor, detect, and report various useful occurrences of events in the network domain which are determined by the result of data aggregation. Fault tolerance is critical to the efficiency of data aggregation scheme. One important reason is that sensor nodes are neither reliable nor stabile. In this paper, we present an improved k-means data aggregation algorithm considering the proposal of isolated point. Each cluster includes three types of sets: aggregation data, fault data set and abnormal data set. Aggregation data comes from normal sensors in this cluster through the improved K-means aggregation algorithm and abnormal nodes can be detected according to the aggregation result.

Abstract: This paper mainly discusses the fire control electrical systems set in high-rise building. When designing and installing the fire control electrical system, we should pay close attention to following some aspects to ensure the reliability of the fire protection system: the probe system settings, laying electrical wiring, and electrical fire alarm system settings, fire protection telephone, broadcast system.

Abstract: This paper presents a Debris Flow Disaster Faster-than-early Forecast System (DFS) with wireless sensor networks. Debris flows carrying saturated solid materials in water flowing downslope often cause severe damage to the lives and properties in their path. Faster-than-early or faster-than-real-time forecasts are imperative to save lives and reduce damage. This paper presents a novel multi-sensor networks for monitoring debris flows. The main idea is to let these sensors drift with the debris flow, to collect flow information as they move along, and to transmit the collected data to base stations in real time. The Raw data are sent to the cloud processing center from the base station. And the processed data and the video of the debris flow are display on the remote PC. The design of the system address many challenging issues, including cost, deployment efforts, and fast reaction.