Since the coding performance can not be further improved if the filter of same order is used to
interpolate for the video sequences of different resolutions, the sub-pixel interpolation algorithm based on adaptive
filter is provided. The interpolation filters of different orders can be selected automatically according to 3 given
video sequences; within the video sequence area of 3 different resolution ratios, the high order interpolation filter
can be replaceed by low order interpolation filter according to the correlation between pixels to realize the
adaptive selection of filter. Experimental results show that compared with HEVC (High Efficiency Video Coding)
standard algorithm, this algorithm improves the peak signal-to-noise ratio by 0. 37dB and reduces the average bit
rate by 0. 37%. Therefore, this algorithm has good coding performance and robustness to different resolution
video sequences.

 In order to reduce the bit error rate caused by atmospheric turbulence in FSO(Free Space Optical)
communication system, a coded multilevel modulation scheme based on LDPC (Low-Density Parity-Check)
codes is proposed. This scheme employs the combination of BPSK(Binary Phase-Shift Keying) and PPM (Pulse
Position Modulation) with LDPC codes to improve the performance of the FSO system. The transmitter and
receiver models are designed based on PPM-BPSK-LDPC coded multilevel modulation scheme. The numerical
results indicate that the bandwidth utilization and the bit error rate performance of the proposed PPM-BPSK-LDPC
coded multilevel modulation scheme are always better than ordinary PPM-LDPC coded modulation scheme under
weak turbulence channel with average power constraint.

 In order to make the NGN (Next Generation Network)service developers quickly and flexibly develop
and deploy business, the concept of resource admission control is introduced to realize the separation of business
control and resource transfer. Based on the research of the application server admission control model, this paper
analyzes the resource allocation mechanism of admission control algorithm and uses matlab to simulate the
algorithm. The simulation results show that the admission control PIAA (Parameter Iterative Adaption Algorithm)
algorithm can well accomplish the task of application server admission control.

 In order to improve the encoding efficiency, this paper proposes a fast CU(Codizy Unit) depth
selection algorithm. First, the MPD(Mean Prediction Depth) of current CU is calculated and then the current
CU is classified based on MPD so as to reduce the redundant traversal. Secondly, the CU depth of current CU is
judged further for stop based on the ratio of the RD(Rate Distortion) cost of the collocated CU col (Co-located CU)
with the reference frame to the total sum of depth. Experimental result shows that the proposed method decreases
the average encoding time by 59% under the condition of decreasing bit rate by 0. 10% and decreasing PSNR by
0. 08 dB,while compared with the reference algorithm in this paper, the encoding time is reduced by 11% on
average, and decreases the encoding complexity and improves the encoding efficiency.

A spiral capacitive sensor model is eztablished in the demand for two-phase flow measurement. The
working principle and characteristics of spiral capacitive sensor are studied. A flow detection method is proposed
based on real-time cross-correlation algorithm. This method is intended to be used in the measurement process of
the velocity and volume of two-phase flow by using spiral capacitive sensor. Analyzed the realizability of real-time
cross-correlation algorithm, and tested the algorithm via Matlab simulation. Used converter IC for capacitive
signals CAV424 in the model to detect the signal of the sensor, and used stm32 microprocessor to run the
real-time cross-correlation algorithm process.

The long distance radio video monitoring system is dependent on the internet so far, therefore, has
environment limitation. We have developed a kind of radio video monitoring system which is in car and can work
in the enviornment without network. This system controls the car and camera‘s movement and position through the
microcontroller by radio so that we can get the maximum visual angel, at the same time, the system collects
image information in the surroundings using the camera OV7670 driven by FPGA(Field-Programmable Gate
Array), transfer the video signal to receiver in the 1. 2 GHz band in order to display the video on the host
computer. Test shows that the car runs stably, can monitor surroundings in narrow space, transfer video data by
radio successfully, with a clear and stable picture, and a long distance. This system’s transfer distance is up to
25 m indoors and 80 m outdoors.

In order to solve the problem of remote sensing technology in the application of Daying uranium mine,
on Daying, using the theory of oil and gas percolation, we proposethe research method that is important to extract
the ferrous ion, carbonate, clay minerals typical mineralization alteration information. And it is used to contrast
the mapping results and the basic geology, geophysical and geochemical data in Daying uranium. The results
show that the majority of extracted mineralized alteration information can be used as an important prospecting
mark in uranium exploration of this region.

 This paper presents a novel fixed-time TSMC( Terminal Sliding-Mode Control) for momentum
wheel with system uncertainties and input perturbations. A newly defined non-singular terminal sliding
surface is constructed, and a guaranteed closed-loop system with the uncertainties factors above convergence
time independent of initial states is derived based on the phase plane analysis and Lyapunov tools. Finally,
the simulation was carried out. The results demonstrate the feasibility and performance of the proposed
controller.

 The oscillation from pulse laser driving circuit can cause many problems such as multiple targets and
imaginary scene of echo simulation, damage to semiconductor lasers and so on. To deal with the problems above
and starting from the theory of RLC discharge circuit, current equation was derived. Utilizing the principle of
maximum, a method of suppressing oscillation quantitatively was proposed. According to the performance
requirements of a fire control system, the key parameters were established by the formula derived above. Finally
MPSL01 type avalanche transistor was used as a high speed switching device in the process of designing circuit.
Then peak current of 1A and narrow pulse current of 23. 2 ns were obtained. Furthermore the reverse current was
almost zero. Semiconductor pulsed laser which type is C86119E of 1 064 nm was regarded as light source. And
echo simulator launch system was composed. Actual detection was done by fire control system for single soldier.
The results show that driving performance was stable and it can meet the requirements of design.

A mini intelligent robot in home environments is designed and implemented. The robot is able to build
a grid map of an unknown home environment efficiently and autonomously, plan an optimal path between two
points and get back an object by same path. This robot senses a home environment only by Infrared sensors. It
plans an optimal path by breadth-first search. A wheeled robot with arms is designed and built based on “Inno
Star冶 from Bochang. The proposed algorithms are implemented on this robot. Experiment results show the
proposed algorithms can be run on low-level robots. This robot can be used in home environments and assist the
elders to get back an object. Therefore, this work has positive effect on boosting the development of robot for
elderly people assistance.

In order to solve the problem of bipedal walking, an improved method of gait planning algorithm of
biped robot based on L3D-LIPM(Linear Inverted Pendulum Mode) is proposed. This method obtains the COM
trajectory of robot by simplifying the original 3D linear inverted pendulum. After planning the swing leg
trajectory, the sequence of each joint can be obtained by inverse kinematics of the robot. The algorithm adopts
dynamically adjusting the point in time at which the support foot alternates to maximize the possible range in
single support phase, instead of a short double support phase for accelerating or decelerating the center of mass to
achieve such an adjustment. Experimental results demonstrate the feasibility and effectiveness of the approach.

In circuit design it is often needed to adjust the resistance of the resistor, the traditional resistance
box has the disadvantages of small scale range, low resolution resistance, large volume, inconvenient and
others. Therefore, it is necessary to design a digital resistance box that has wide range of resistance, high
resolution resistance. The main purpose is to research and produce a digital active resistance box, which has
analog active resistance hardware circuit, and is controlled by ARM7 series microcontroller LPC2138
system. The active resistance box uses a matrix keyboard and a LCD(Liquid Crystal Display) liquid crystal
screen as a human computer interaction device to realize the digital setting and synchronous display of the
resistance value of the device. The experimental data show that the resistance range of the digital active
resistance box is 10. 01 Ω~ 10. 01 MΩ and the accuracy is ±0. 46% . It can be widely used in electronic
circuits.

 In order to provide a panoramic image with high precision and wide field, the main purpose of this
study is to achieve a high-resolution images stitching. For a large number of high-resolution farmland remote
sensing images taken by UAV(Unmanned Aerial Vehicle), to obtain the full panoramic farmland image,
the image mosaic algorithm is improved by combining with characteristics of UAV image. In detecting the
candidate points step preliminarily using SIFT ( Scale-Invariant Feature Transform) algorithm, we use
adaptive threshold to remove part of the candidate feature points. By combining with latitude, longitude
coordinates and the relative position relation of the overlapping area about UAV image, we remove part of
invalid feature points and make rough matching on feature point. For completing two adjacent farmland
remote sensing images stitching, we apply random sample consensus algorithm to eliminate mismatching
point, and solve the projective transformation matrix. In order to complete 128 high-resolution images
stitching, we design pyramid stitching strategy. The experimental results show that: with the improved
feature points streamline method on SIFT algorithm, the time needed for the rough feature points matching is
reduced by an average of 52% , and 25% reduction for Accurate feature points matching. In comparison
experiment based on six evaluation parameters, we found that the multi-resolution image fusion algorithm is
superior to other fusion algorithms in qualitative and quantitative analysis. The study provides an efficient
reference for a large number of high-resolution image stitching.

Because the basic ant colony algorithm is easy to fall into local optimal solution, slow convergence and
other shortcomings, and the economy-matrix is firstly introduced as a priori information to guide ants, then
evaporation factor by different periods with different search pheromone make the algorithm balance between
“explore冶 and “use冶. The optimal solution is optimized by 2-opt method. Finally, the improved ant colony
algorithm is applied to physical distribution and vehicle routing optimization problem. The tests results show that
it is better than the basic ant colony algorithm of physical distribution path, and it is an effective method to solve
physical distribution route optimization problem, quickly and efficiently carry out the adjustment of the physical
distribution path to meet the needs of consumers.

 In order to recognize the fatigue state accurately under the condition of the driver wearing glasses, a
method of judging whether to wear glasses is proposed. And the fatigue detection system based on the state of
eyes and mouth is established. Its applied algorithms such as moving object detection, feature extraction and
image recognition and etc are investigated. First, face classifier based on Adaboost algorithm is used to detect
face region from the video frames. The area of eyes and mouth can be detect roughly according to the facial
geometric distribution rules; Secondly, threshold adaptively by Otsu’s method and determine whether driver wear
glasses based on horizontal integral projection method. Then, identify the state of eyes with galsses according to
the method of histogram part statistics characteristic values. In addition, using roundness to judge whether mouth
yawn. Finally, the equivalent PERCLOS(Percentage of Eyelid Closure over the Pupil) value is taken to identify
the fatigue state of eyes, and the frequency of yawning is used to identify the fatigue state of mouth. The system
give an early warning in time when it detects fatigue driving. The experimental results show that these method
can solve the interference of glasses effectively, and is appropriate for different illumination and surroundings.
The accuracy is 95. 8%. It’s better than the method which only use eye or mouth. It can also satisfy the system
requirements of real time, accuracy and robustness.

In the rapid development of Internet and mobile terminals today, greenhouse traditional access to
environmental information obviously should follow the footsteps of Internet+era, namely access to data through the
mobile terminal to replace the traditional way, this satisfies the user needs for efficient, fast and so on. This
paper presents a system based on Android platform realizing information acquisition and remote display. Android
platform is used to achieve the greenhouse temperature information collection and upload to the remote server.
Users through the Android client program or browser to achieve the temperature of the information. It greatly
improves the convenience of access to temperature information, users can do anytime, anywhere real-time. The
system’s workflow is as follows. First, embedded Android platform through JNI (Java Native Interface) call to
read the external temperature sensor data. Upload the collected data to the LAMP (Linux Apache MySQL PHP)
server via the Internet. Then, run the Android client or browser to access the Web page. Through the Internet
from the server to obtain data to the user. After running the test program proves that the system is stable and has
a good user interaction effect. When the information collection terminal is under poor network state, data upload
program is optimized to achieve the continual transfer after the network recovery.