Page No: 72-79
Efficient Standard
Deviation Based Algorithm Based Image Pre-Processing and Edge Detection
Mirabelle E Greshamon
and Rachel K Bernard
School of Information
Science, University of Houston, Houston, USA
Abstract: In this
paper an efficient standard deviation based algorithm which can automatically
detect, localize and extract tampered area from tampered images is presented.
The proposed approach is based on the application of a color reduction
technique; Intensity based method for edge detection, and the localization of
tampered regions using horizontal and vertical edges. This paper is based on
the fact that normally tampered regions process high standard deviation
compared to non-tampered regions. The outputs of the algorithm are tampered
regions. The performance of the approach is demonstrated by presenting
promising experimental results for a set of images taken from different types
of video sequences.
Keyword: Standard
Deviation, Watermarking, Image Pre-Processing, Edge Detection
Page No: 80-88
Parameter Optimization
for Linear Viscous Dampers to Cable-Stayed Bridge in Near Fault Zones Based on Numerical
Validation
Fen Luo1 and Zhihui Lan2
1Department of Automobile Application
Engineering, Yantai Automobile Engineering Professional College, Yantai, China
2Department of Software Engineering, Yantai
Automobile Engineering Professional College, Yantai, China
Abstract: In
order to investigate the simplified design method for damper installed on
cable-stayed bridge in near-fault zones, this paper proposed two-particle model
for cable-stayed bridge and established the differential equations of motion.
Parameter design formula for linear viscous damper is derived based on the
concept of equivalent damping ratio; parameter design formula for nonlinear
viscous damper is also deducted by equivalent linearization method. In the end,
a single tower cable-stayed bridge is cited to verify accuracy of the
formulations.
Keyword: Viscous
Dampers, Equivalent Damping Ratio, Equivalent Linearization, Cable-Stayed
Bridge, Near-Fault Ground Motion
Page No: 89-95
Analysis of Driver’s
Stress Reaction Times when Driving on Urban Road Environment by Traffic Safety
Model
Xing Mao and Kaishun
Chen
School of
Automobile, Wuhan University of Technology, Wuhan, China
Abstract: A
driving simulator was set up for analyzing driver’s reaction time when driving
on urban road environment. 28 participate drivers were recruited for the
simulated driving test, each driver’s reaction perception time, decision-making
time and operation time were measured and analyzed. Results show that the
average perception time of experienced drivers(181.37 ms) is shorter than that
of inexperienced drivers (195.62 ms). While experienced driver’s
decision-making time is longer than that of inexperienced drivers, but more
stable. The average operation time of experienced drivers (281.85 ms) are
longer than inexperienced drivers(234.3 ms).
Keyword: Reaction
Time, Urban Road, Driving Simulation, Traffic Safety
Page No: 96-101
Improving the Performance
of Combined Profile by Involute of Circle and High Order Curve in Scroll
Compressor Based on Multi-objective Genetic Algorithm
Weilin Jin1,
Juli Guo2, Xun Bian2 and Zhikai Li3
1Department of Transmission and
Transformation Engineering Mechanics, China Electric Power Research Institute,
Beijing, China
2Department of Information Engineering, Dalian
Ocean University, Dalian, China
3Department of Automatic Control, Dalian
Ocean University, Dalian, China
Abstract: In the design
of scroll compressor, in order to improve the performance of the combined
profile by involute of circle and high order curve, the mathematical model was
established which takes the stroke volume and area utilization coefficient as
the objective function. Then optimize it by the MATLAB genetic algorithm
toolbox and have a contrast of the original parameters with the optimized
parameters. The optimal result shows that the result after optimization has higher
stroke volume and area utilization coefficient.
Keyword: Combined
Profile, Stroke Volume, Area Utilization Coefficient, Multi-Objective Genetic
Algorithm
Page No: 102-108
A Study on Component Library
and Component Retrieval for Traditional Component Query Situation Improvement
Yongliang Hu and Xinzhe
Yin
School of Information
Engineering, Northeast Petroleum University, Daqing, China
Abstract: More
excellent containment matching model is proposed based on component inclusion
matching model. Moreover, matching cost algorithm is analyzed to get inclusive
matching model. Representation and retrieval of component are the two main core
technologies of reusable software component library. Representation of
component facet and corresponding retrieval technology has been widely applied.
Among them, both REBOOT and NATO put forward classification scheme of reusable
software component. Therefore, efficiency of recall and precision of component
are significantly improved comparing with traditional component query
situation.
Keyword: Software
Reuse, Component Library, Component Retrieval
Page No: 109-119
Combination of Feature
Extraction Method and Conflict Resolution Methods Applied for Optical Character
Recognition
Winston Q Raymond and
Leo A Marion
School of Artificial
Intelligence, South Dakota State University, Vermillion, USA
Abstract: Optical
Character Recognition (OCR) is one of the important fields in image processing.
Kannada is one such south Indian language which is also the official language
of Karnataka state. In this paper two level decision regions are used to
recognize Kannada numerals. The algorithm proposes conflict resolution
technique to resolve conflicts while conflicting features are encountered. The
combination of feature extraction method and conflict resolution method is
applied to recognize Kannada numerals. Numerals are collected from the standard
Nudi 4.0 and Baraha 7.0 word processor software. Some scanned images also taken
for testing. Proposed algorithm efficiency and the overall the classification
accuracy is found to be 96.95%.
Keyword: Segmentation,
Pixel Density, Template Matching, Conflict Resolution
Page No: 120-127
Designing of Wireless Communication
Message and its Application in Tower Cranes Intelligent Monitoring System Based
on CAN bus
Guishu Qiao1 and Jia Huang2
1School of Automation, Chongqing University
of Posts and Telecommunications, Chongqing, China
2School of Mechanical Engineering, Jilin
Jianzhu University, Changchun, China
Abstract: For the
demand of the tower crane with efficient and safe operation, the wireless
monitoring management system of a tower crane is designed based on MCP2515/CAN
bus in this paper. In order to monitor the operation state information of the
tower crane real-time, the system monitor front-end is designed by using the
platform with Cortex A8 and WinCE6. MCP2515 driver and Wireless communication
message is designed by using Modbus/TCP protocol and the remote monitoring and
unified management of the tower cranes are realized by the two-way
communication of GPRS and remote management center. The stable and reliable of
the system is proved by the field operation and the system has good application
prospect.
Keyword: MCP2515
driver, Embedded system, CAN bus, Intelligent monitoring
Page No: 128-134
Study on Remote Monitoring
and Automatic Evaluation in Salvo Bomb Mode for Shooting Range Automatic Target
Evaluation System
Tiesheng He, Tianyu
Qin and Qifeng Zhang
School of
mechanical and power engineering, East China University of Science and
Technology, Shanghai, China
Abstract: With
the continuous development and intense research, how to solve the problem of
remote monitoring and automatic evaluation in salvo bomb mode for the shooting
range automatic target evaluation system is one of the issues that need to be
addressed. Based on this background, this paper focuses on multi-explosion
points in the same characteristics matching and location. Analyzing
multi-explosion points ground situation and the image characteristics in salvo
bomb mode, namely technology difficulty, an image processing algorithm based on
time division and epipolar constraint is raised
Keyword: Automatic
Target-Scoring System, Image Matching, Same Characteristics, Epipolar
Constraint