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报考该导师研究生的方式
欢迎你报考周龙甫老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择周龙甫老师，你的所有申请信息将发送给周龙甫老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请周龙甫老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为周龙甫老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考周龙甫老师招收的专业和方向，进入复试后提交导师意向时选择周龙甫老师。
4、如果你有兴趣攻读周龙甫老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
[1]Sichuan Province Science and Technology Support Program
Time period:2014.01-2016.12 Project No.2014SZ0007 Project manager:Longfu Zhou
Project: Key Technology and Application Research on Human Medical Monitoring in High Humidity Environment Brief description: In the project, information perception, command management and early warning network platform are studied. Threat information is collect and positioned by using related equipment and visual situation maps are quickly generated. Precise logistics support is achieved. As well, real-time information security for the emergency rescue decision is provided, which improve the ability of medical rescue under the special environment.
[2]National Science Foundation of China
Time period:2013.01-2015.12 Project No.:61201131 Project manager:Wei Zhang
Project: Research on Method of Acoustic Wireless Transmission of Logging While Drilling Data Brief description: Logging While Drilling (LWD) data transmission is one of the key technologies for achieving intelligent drilling.After deeply analyzing the sound propagation characteristics of the drill string, project team proposes a transmission technology based on SC-FDE technology. The improved particle swarm wavelet neural network for detection and extraction of the acoustic signals with strong noise background are proposed to maximize the noise eliminating and data transmitting capability. My responsibility in the project is to design and implementation of the improved particle swarm wavelet neural network.
[3]China Postdoctoral Science Foundation
Time period: 2013.06-2015.05 Project No.2013M532142 Project manager:Longfu Zhou
Project: Human Life Signs and Environment Monitoring System under Special Environment Brief description: In the project, integrated key technologies of medical, health equipment, electronics and computer science field together, researches on human life signs and environment monitoring, under the special environment, are done. Through the research and development of intelligent wearable equipment, application software, system development platform based on Oracle database, providing software of health evaluation on environment and personnel, which provide information means for emergency medical rescue, and add new functions to mobile telemedicine platform.