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Dive into the research topics where Weixing Feng is active.

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Featured researches published by Weixing Feng.


international conference on mechatronics and automation | 2006

Highly Precise Catheter Driving Mechanism for Intravascular Neurosurgery

Weixing Feng; Changmin Chi; Huanran Wang; Kejun Wang; Xiufen Ye; Shuxiang Guo

Recently, MIS (minimum invasive surgery) has attracted most of doctors and patient. It has been widely used in many kinds of surgeries, especially in intravascular neurosurgery. But there are several problems in intravascular neurosurgery: doctors exposure to X-ray, few well skilled doctors, high risk of the catheter insertion. To solve these problems, we developed a highly precise remote control system by using a master-slave system. In this paper, we expatiate on the design concept of the system and then test the precision of the system. The experiment results basically achieve our design purpose


international conference on mechatronics and automation | 2006

A Novel Underwater Crablike Microrobot

Xiufen Ye; Baofeng Gao; Shuxiang Guo; Weixing Feng; Kejun Wang

In this paper, we presents a novel crablike underwater microrobot named crabliker-1. The designed microrobot has eight legs, and each leg is made up of two pieces of ICPF (ionic conducting polymer film). A new analysis method to the gait of the microrobot is proposed. Based on this method, three processes of single legs movement under different control signals are proposed. The structure and motion mechanism are given. The kinematics of single leg is discussed. And then, we set up the experimental platform to analyze the characteristics of the ICPF actuator. At last, the rightwards movement and circumvolve anticlockwise of the microrobots gait are carried out


international conference on mechatronics and automation | 2005

A collaborative intrusion detection system using log server and neural networks

Donghai Guan; Kejun Wang; Xiufen Ye; Weixing Feng

With the explosive rapid expansion of computer use during the past few years, security has become a crucial issue for modern computer systems. Today, there are so many intrusion detection systems (IDS) on the Internet. A variety of intrusion detection techniques and tools exist in the computer security community. We can easily download, install and configure them to our needs. But there is a potential problem involved with intrusion detection systems that are installed locally on the machines to be monitored. If the system being monitored is compromised, it is quite likely that the intruder will alter the system logs and the intrusion logs while the intrusion remains undetected. In this project KIT-I, we adopt remote logging server (RLS) mechanism, which is used to backup the log files to the server. Taking into account security, we make use of the function of SSL of Java and certificate authority (CA) based on key management. Furthermore, neural networks are applied in our project to detect the intrusion activities.


IEEE/ACM Transactions on Computational Biology and Bioinformatics | 2015

ResSeq: enhancing short-read sequencing alignment by rescuing error-containing reads

Weixing Feng; Peichao Sang; Deyuan Lian; Yansheng Dong; Fengfei Song; Meng Li; Bo He; Fenglin Cao; Yunlong Liu

Next-generation short-read sequencing is widely utilized in genomic studies. Biological applications require an alignment step to map sequencing reads to the reference genome, before acquiring expected genomic information. This requirement makes alignment accuracy a key factor for effective biological interpretation. Normally, when accounting for measurement errors and single nucleotide polymorphisms, short read mappings with a few mismatches are generally considered acceptable. However, to further improve the efficiency of short-read sequencing alignment, we propose a method to retrieve additional reliably aligned reads (reads with more than a pre-defined number of mismatches), using a Bayesian-based approach. In this method, we first retrieve the sequence context around the mismatched nucleotides within the already aligned reads; these loci contain the genomic features where sequencing errors occur. Then, using the derived pattern, we evaluate the remaining (typically discarded) reads with more than the allowed number of mismatches, and calculate a score that represents the probability that a specific alignment is correct. This strategy allows the extraction of more reliably aligned reads, therefore improving alignment sensitivity. Implementation: The source code of our tool, ResSeq, can be downloaded from: https://github.com/hrbeubiocenter/Resseq.


robotics and biomimetics | 2006

Gait Analysis of Underwater Octopod Microrobot

Xiufen Ye; Baofeng Gao; Shuxiang Guo; Weixing Feng; Kejun Wang

The low actuating voltage and quick bending responses of ICPF (ionic conducting polymer film) are considered very useful and attractive for the construction of various types of actuators and sensors. In this paper, first we present an octopod underwater microrobot which has eight legs, and each leg is made up of two pieces of ICPF. Then we use theory analysis to illustrate the motion mechanism of the microrobot, and study the octopod gait of the microrobot to perform transverse and rotation movement when the legs of crab collaborate. Finally, the experimental results indicate that the octopod gait above is feasible.


international conference on mechatronics and automation | 2015

Identification method of transcription factor binding sites based on DNase-Seq signal

Peichao Sang; Duojiao Chen; Siwen Xu; Weixing Feng

Revealing the mechanism of gene regulation is one of central challenge in modern genomics research. Since transcription factors play vital roles in process of gene regulation, identification of their binding sites is quite important. In order to detect transcription factor binding sites more accurately and efficiently, DNase-Seq technology arises. In the study, we proposed a method to identify transcription factor binding sites based on DNase-Seq signals. Firstly, DNase-Seq data was extracted and processed to enhance the binding sites. Then, a statistical model was designed to depict pattern of particular transcription factor binding sites with sequence information and DNase-seq signals. With the model, the specific transcription factor binding sites can be predicted. In the experiment about C-jun transcription factor, the good prediction performance of its binding sites proves the validity of the proposed method.


international conference on mechatronics and automation | 2014

Research on preprocessing of DNase signal in DNAprotein binding sites detection

Deyuan Lian; Bo He; Fengfei Song; Meng Li; Weixing Feng

There are many functional proteins in human cells, which bind in genes and regulate their expression. Accurately identifying binding sites of these proteins is an important and difficult job in life science. To solve this problem, a new DNA protein binding site detection technology, named DNase-Seq emerges. DNase-Seq has great advantages, but its detection signal is quite complex, which makes accurately identifying DNA protein binding site a challenging task. We in-depth analyze DNase-Seq signals and propose a novel preprocessing method. The corresponding experiment proves validity of the method.


international conference on mechatronics and automation | 2012

Design and implementation of an embedded visual bio-metric characteristic capture device base on DM6446 for collection of multimodal biometric characteristic

Weixing Feng; Yun-Ping Dai; Wen-Gang Zhao; Feng-Xu Guan

Based on chip of TMS320DM6446 and Embedded Linux system, an embedded device was designed to establish software and hardware platforms of multimodal visual biometric features capture interface. The research is concerned about hardware circuit design and software drivers design of OV9620 and standard compound video. Eventually, experiment proved validity of the implemented device.


robotics and biomimetics | 2006

Realization of a Catheter Driving Mechanism with Micro tactile sensor for Intravascular Neurosurgery

Weixing Feng; Shuxiang Guo; Changmin Chi; Huanran Wang; Kejun Wang; Xiufen Ye


2017 First International Conference on Electronics Instrumentation & Information Systems (EIIS) | 2017

A new method for alleviating sequence-specific biases in DNase-seq

Siwen Xu; Ying Wang; Huan Liu; Duojiao Chen; Hongyuan Bi; Weixing Feng

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Kejun Wang

Harbin Engineering University

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Xiufen Ye

Harbin Engineering University

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Fengfei Song

Harbin Engineering University

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Shuxiang Guo

Beijing Institute of Technology

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Bo He

Harbin Engineering University

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Duojiao Chen

Harbin Engineering University

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Baofeng Gao

Beijing Institute of Technology

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Changmin Chi

Harbin Engineering University

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Deyuan Lian

Harbin Engineering University

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Dingkai Xue

Harbin Engineering University

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