Advanced Materials Research Vol. 748

Abstract: This paper describes the design of a two-dimensional photoelectric detector, in which silicon photovoltaic cells are used as photoelectric receiver, and laser signal is converted into electrical signals. The weak electrical signals can be amplified by the high power low noise with variable magnification amplifier controlled by single-chip microcontroller PIC. Then using the variable attenuator MAX521 complete selectable attenuation for the analog signal. The detector is able to adapt for high-precision detection of the laser light source in the case of changes in the strength of the near and far distances and light. The practicality and detection performance of the receiver can be ensured. This two-dimensional photoelectric detector is particularly applicable to the construction site where are special requirements for some installation accuracy, which can be a good solution to the problem of excessive error of the traditional installation process.

Abstract: Since PIOs cannot be prevented, they will continue to occur, and methods are needed to mitigate the risk of catastrophic PIO. This paper discusses the challenges to detection of PIO in real-time. It describes the design of a method for the real-time detection of PIO that can be used to alert the flight crew in the early stage of a PIO, before the event has become catastrophic. With early warning, it is possible that loss of aircraft can be prevented through appropriate pilot response. Real Time Detection of a Pilot-Induced Oscillation (PIO) can potentially save both aircrew and aircraft. The method is effective at identifying any oscillatory behavior in real-time,Although limitations of the algorithm do exist, ROVER, if used correctly, will detect a severe PIO event and could allow a pilot to open the feedback control loop or adjust the control input strategy in order to suppress the aircraft oscillatory response.

Abstract: This paper proposed a location algorithm based on nodes distance difference, it gets the distance difference from the blind node to every beacon node by wireless communication module Rf grouping, then, makes use of the improved Trilateral positioning method to work out Node coordinates, so as to realize the node localization of long-distance range, precision controlled, low-cost, and to analyze the positioning performance. The simulation experiments shows this algorithm has high feasibility and positioning performance, and it is also a complement of WSN Positioning technology.

Abstract: The GPS RTK technology is measurement technology in the development of a new breakthrough in many areas, has been widely applied in the measurement of the open pit mine, also have very good application prospect. This article according to the author in the east group god horse home tower pit work experience this paper presents the principle and RTK technology in field measurement of the work carried out, and the application of RTK should pay attention to some of the key technology and processing method.

Abstract: This paper presents the development of a real time web based system for monitoring and calibrating diesel engine using internet and ECU communication technologies. The development system consists of an in-vehicle device, capable of acquiring various engine data by LIN/CAN, a client tool and a web server for the application. The data is send from ECU through an in-vehicle device which collects and process information using KWP2000 protocol to server, thus allowing users to remotely monitoring and calibrating diesel engine from their office instead of testing from the scene.

Abstract: To solve the problem of firefighters casualties in fire fighting, a firefighter safety monitoring device based on wireless Localization algorithm is puts forward in this paper. The device consists of CC2430 wireless data communications module, MCU and O₂, CO, temperature and smoke sensors. It has the advantages of higher reliability, low cost, remote wireless communications, real-time data acquisition and display, and higher localization precision. Therefore, it can reduce the risks of firefighters casualties efficiently.

Abstract: The frequency component of ground vibration induced by train is complex. The propagating attenuation characteristics of ground vibration are dependent on frequency. A new prediction method based on Bornitz model for predicting the train-induced ground vibration is presented in this paper. This approach divides the frequency component into many small frequency bands according to one-third-octave. Then it predicts the vibration acceleration level VAL of each frequency bands based on Bornitz model respectively. Finally, the predicted value of Z-vibration level VL_Z is computed by the predicted value of VAL and the corresponding frequency-weighting value C. The traininduced ground vibration was measured and predicted in Chengdu-Dujiangyan railway. The results of comparing the predicted value of VL_Z with the measured value show that the prediction value of VL_Z is 3.8dB less than the measured value in the prediction point of 25m away from the railway, where the vibration strength occur rebound. In other five prediction points the ground vibration predicted value are 1.3~3.1dB more than measured value. This study shows that using the prediction method presented in this paper for predicting train-induced ground vibration has good accuracy on the whole.

Abstract: Through the research of special algorithm which is suitable for the position of garlic cutting umbilical and the garlic cutting umbilical software system which is compiled by a GUI interface program, this issue realizes automatic and precise positioning of garlic cutting umbilical by using digital image processing techniques. The results showed that this program could distinguish garlic roots with garlic body very well and it could provide technical support for the mechanized cutting of garlic roots.

Abstract: We propose a novel density estimation method using both the k-nearest neighbor (KNN) graph and the potential field of the data points to capture the local and global data distribution information respectively. The clustering is performed based on the computed density values. A forest of trees is built using each data point as the tree node. And the clusters are formed according to the trees in the forest. The new clustering method is evaluated by comparing with three popular clustering methods, K-means++, Mean Shift and DBSCAN. Experiments on two synthetic data sets and one real data set show that our approach can effectively improve the clustering results.

Abstract: This paper takes Harbin city as an example, on remote sensing data of 2004, 2006, 2007, and 2010, reflect city land surface temperature. Through the distance calculation, the heat island intensity distribution map in Harbin city was different in different seasons, and then analyzes Harbin urban heat island effect characteristics to explore the distribution and variation.