会议名称：
18th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) / 13th IEEE International Conference on Big Data Science and Engineering (IEEE BigDataSE)
会议时间：
AUG 05-08, 2019
会议地点：
Rotorua, NEW ZEALAND
会议主办单位：
[Mo, Ran;Jiang, Fu;Zhao, Xiaoshuai;Liu, Weirong;Peng, Jun] Cent South Univ, Sch Comp Sci & Engn, Changsha, Peoples R China.^[Liu, Jianfeng;Gu, Xin] Cent South Univ, Sch Automat, Changsha, Peoples R China.^[Yu, Wentao] Cent South Univ Forestry & Technol, Coll Comp & Informat Engn, Changsha, Peoples R China.^[Mo, Ran;Liu, Jianfeng;Yu, Wentao;Jiang, Fu;Gu, Xin;Zhao, Xiaoshuai;Liu, Weirong;Peng, Jun] Hunan Engn Lab Rail Vehicles Braking Technol, Changsha, Peoples R China.
会议论文集名称：
IEEE Trustcom BigDataSE ISPA
关键词：
Differential privacy;data mining;distance based clustering;adaptive mechanism
摘要：
Analyzing clustering results may lead to the privacy disclosure issue in big data mining. In this paper, we put forward a differential privacy-based protecting data preprocessing method for distance-based clustering. Firstly, the data distortion technique differential privacy is used to prevent the distances in distance-based clustering from disclosing the relationships. Differential privacy may affect the clustering results while protecting privacy. Then an adaptive privacy budget parameter adjustment mechanism is applied for keeping the balance between the privacy protection and the clustering results. By solving the maximum and minimum problems, the differential privacy budget parameter can be obtained for different clustering algorithms. Finally, we conduct extensive experiments to evaluate the performance of our proposed method. The results demonstrate that our method can provide privacy protection with precise clustering results.
作者机构：
[Nan, Fang; Yang, Yun; Ren, Xiao-ping; Chi, Jing-ru; Li, Zi-yu] Natl Ctr Sci & Technol Evaluat, Dept Int Evaluat & Res, Beijing 100081, Peoples R China.;[Ren, Xiao-ping] Natl Inst Metrol, Dept Res & Sci Management, Beijing 100029, Peoples R China.;[Yang, Fan] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
会议名称：
31st Chinese Control And Decision Conference (CCDC)
会议时间：
JUN 03-05, 2019
会议地点：
Nanchang, PEOPLES R CHINA
会议主办单位：
[Ren, Xiao-ping;Yang, Yun;Nan, Fang;Li, Zi-yu;Chi, Jing-ru] Natl Ctr Sci & Technol Evaluat, Dept Int Evaluat & Res, Beijing 100081, Peoples R China.^[Ren, Xiao-ping] Natl Inst Metrol, Dept Res & Sci Management, Beijing 100029, Peoples R China.^[Yang, Fan] Cent South Univ Forestry & Technol, Sch Comp & Informat Engn, Changsha 410004, Peoples R China.
会议论文集名称：
Chinese Control and Decision Conference
关键词：
Research Evaluation;Indicator Determination;Monte Carlo Method;Delphi Approach
摘要：
During a research evaluation, a set of indicators is gathered according to evaluation target. The rationality measurement of these indicators is essential but difficult. In a traditional Delphi Approach (DA), experts grade the importance and feasibility of indicators, and then propose refinements to the initial indicators. Only those rated above average will be retained. During multi-round DA processes, the calculation is complex and may repeat several rounds. This study aimed to describe a new indicator selecting technique, by applying Monte Carlo simulation method onto Delphi Approach(MCDA). The modification of Delphi Approach, including its underlying assumptions and strengths, are explained in this article. To present this modified Delphi Approach, a brief demonstration is also discussed.
期刊：
ICMAI '19: Proceedings of the 2019 4th International Conference on Mathematics and Artificial Intelligence,2019年:189-194
通讯作者：
Zheng, Xuan(xuanzheng@csuft.edu.cn)
作者机构：
[Zheng, Xuan] Central South University Of Forestry and Technology, Changsha;410000, China;[Gao, Qin] Hubei University of Education, Wuhan;430000, China;[Zheng, Xuan] 410000, China
会议名称：
4th International Conference on Mathematics and Artificial Intelligence, ICMAI 2019
会议时间：
April 12, 2019 - April 15, 2019
会议地点：
Chegndu, China
摘要：
In this paper, we consider an optimal control problem for an elliptic obstacle problem. Using a family of semi-linear elliptic partial differential equations to approximate the obstacle problem, we obtain an approximate optimal problem for partial differential equations. Then, we propose a new method to prove the objective functional in the approximate optimal problem is Gâteaux-differentiable and compute its gradient. The gradient descent algorithm and Gauss Newton algorithm are presented to find the numerical solution. Numerical results show the efficiency and stability of the algorithms.
作者：
Meng Zhang 0016;Hui Lin 0004;Hua Sun 0002;Yaotong Cai
作者机构：
Research Center of Forest Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha, 410004, China;Key Laboratory of Forestry Remote Sensing Based Big Data and Ecological Security for Hunan Province, Changsha, 410004, China;Key Laboratory of State Forestry Administration on Forest Resources Management and Monitoring in Southern Area, Changsha, 410004, China
通讯机构：
[Cao, Jiwu] C;Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
会议名称：
International Conference on Frontiers of Biological Sciences and Engineering (FBSE)
会议时间：
NOV 23-24, 2018
会议地点：
Chongqing, PEOPLES R CHINA
会议主办单位：
[Wu, Yi;Cao, Jiwu;Peng, Jiqing;Xu, Yongfu;Liu, Chunlin;Zhou, Guoying] Cent South Univ Forestry & Technol, Changsha 410004, Hunan, Peoples R China.
会议论文集名称：
AIP Conference Proceedings
关键词：
Magnolia 'Wulin';Magnolia Officinalis;New Cultivar;South China
摘要：
Magnolia ‘Wulin’ is a new cultivar of Magnolia officinalis. It belongs to small evergreen or semi-evergreen trees, with leathery leaves and slender petioles. It has fragrant flowers, and solitary branches top, petals are pink, filaments are deep red. The flowering period is from mid-April to mid-May. It is a kind of valuable plant with great potential value.
期刊：
Advances in Intelligent Systems and Computing,2019年885:159-166 ISSN：2194-5357
通讯作者：
Mei, Z.
作者机构：
[Mei Z.] Central South University of Forestry and Technology, Changsha, 410080, China;[Bin Z.] Hunan YouDao Information Technology Co., Ltd., Changsha, 410080, China
通讯机构：
[Mei, Z.] C;Central South University of Forestry and TechnologyChina
关键词：
General PC;Network measurement;Traffic capture
摘要：
Network traffic measurement provides scientific basis for designing, building, and managing the next generation Internet, and is especially important for monitoring network behavior. There are many challenges in high-speed network traffic measurement. One of the most important bottlenecks is traffic capturing. Because of hardware capability and operating system overhead limitations, the existing network traffic measurement tools based on software can only perform well at low speed network with the link rate below 100 Mbps. This paper mainly focuses on the key issue to perform traffic capture for high-speed network based on software. To achieve this point, Distributed network traffic measurement system is discussed, and a traffic capture prober was designed under general PC server with Linux operating system. We also analyze crucial problems on prober’s implementation, building an experiment environment and running tests on it. The results show that our system satisfies all requirements imposed by real time measuring network traffic behavior. Furthermore, the performance of traffic capture has been improved significantly and can capture/process nearly all packets at line speed under Gigabit network.
作者机构：
[Liu, Lixia; Zhang, Dong; Li, Na] State Grid Tianjin Electric Power EconomicandTechnology Research Institute, Tianjin;300171, China;[Ma, Chao] State Grid Tianjin Electric Power Company, Tianjin;300010, China;[Xiao, Fei] Swan College, Central South University of Forestry and Technology, Changsha, Hunan
会议名称：
2019 3rd International Conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2019
会议名称：
Photonics and Electromagnetics Research Symposium - Fall (PIERS - Fall)
会议时间：
DEC 17-20, 2019
会议地点：
Xiamen, PEOPLES R CHINA
会议主办单位：
[Zhai, Shengqing;Yang, Yusi;Lin, Lan] Tongji Univ, Dept Elect Sci & Technol, Shanghai, Peoples R China.^[Ou, Wenbo] Cent South Univ Forestry & Technol, Dept Automat, Changsha, Peoples R China.
会议论文集名称：
Progress in Electromagnetics Research Symposium
摘要：
There are many kinds of hepatic lesions which threaten human healthy by high incidence. Analyzing CT images is an effective method to evaluate the type of hepatic lesions. The original evaluation method is that medical personnel assessment by images, but abdominal CT images are complex, and the accuracy of the discrimination depends strongly on the subjective factors, knowledge level and experience of medical personnel. With the development of artificial intelligence technology, the hepatic lesions recognition technology based on deep visual feature learning can achieve a higher accuracy. While reducing the workload for doctors, this technology can assist doctors to diagnose the disease, so as to obtain more objective and accurate diagnosis results. The database established in this paper mainly includes three kinds of CT images: primary liver cancer, cirrhosis and normal liver. After the database pretreatment with image de-noise algorithms based on median filter and picture enhancement algorithms based on histogram equalization, the convolution neural network CaffeNet was taken as the main framework, and a large number of labeled liver CT images were used to train the network in the experimental process. Meanwhile, the network parameters were continuously updated according to the cost function. Traditional hepatic lesion recognition technology only depends on the surface features from the image, such as gray scale, statistical structure and texture. Deep learning, a tool with high precision and robustness, could be used to mine the hidden features in the huge database. Through testing the trained deep learning model, the average recognition accuracy of 96.67% and the average single sample recognition time of 1.28 seconds could be achieved perfectly. Therefore, there is no doubt that hepatic lesion recognition technology based on deep visual feature learning will greatly liberate doctors' physical strength and promote the development of pathology in the near future.
作者：
Siyuan Guo;Shoushou Zhang;Weijun Zhu;Junying Song;Yabing Yan
作者机构：
State Grid Hunan Electric Power Company Limited Research Institute;Bangor College, Central South University of Forestry and Technology
会议名称：
Joint 2019 International Conference on Ubiquitous Power Internet of Things （UPIOT 2019） & 2019 3rd International Symposium on Green Energy and Smart Grid （SGESG 2019）
会议时间：
2019-08-21
会议地点：
中国重庆
会议论文集名称：
Proceedings of Joint 2019 International Conference on Ubiquitous Power Internet of Things (UPIOT 2019) & 2019 3rd International Symposium on Green Energy and Smart Grid (SGESG 2019)
摘要：
With the rapid development of the wide area measurement system（WAMS）, the disturbance source location method based on oscillation energy has been widely used in low frequency oscillation monitoring. This paper focuses on the applicability research of different oscillation energy methods. Taking the forced power oscillation caused by the excitation system abnormality as an example, the disturbance source location accuracy of three oscillation energy methods is compared. The results show that it is important to extract the dominant component of the electrical signal. When the non-dominant component content is large, it will affect the location accuracy of the traditional oscillation energy method.
作者机构：
[Chen, Hui] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.;[Shi, Lei] Cent South Univ Forestry & Technol, Informat Ctr, Changsha 410004, Peoples R China.
会议名称：
2nd International Conference on Advanced Electronic Materials, Computers and Materials Engineering (AEMCME)
会议时间：
APR 19-21, 2019
会议地点：
Changsha, PEOPLES R CHINA
会议主办单位：
[Chen, Hui] Cent South Univ Forestry & Technol, Coll Mech & Elect Engn, Changsha 410004, Peoples R China.^[Shi, Lei] Cent South Univ Forestry & Technol, Informat Ctr, Changsha 410004, Peoples R China.
会议论文集名称：
IOP Conference Series-Materials Science and Engineering
摘要：
Silicon material is a widely used substrate in micro-electromechanical systems, and its micro-fabrication technology has always been a research hotspot. The main micro-fabrication methods of silicon material are chemical etching, electrochemical machining (ECM) and electrical discharge machining (EDM). The electrochemical and electrical discharge compound machining technology is a kind of machining method for non-conductive materials. In this paper, the compound machining technology was studied and applied to the microfabrication of silicon material. The machining principle of silicon material in hydrochloric acid solution was studied, and the influence of silicon material type and voltage on the machining was analyzed. It is found that n-type silicon can be machined, while p-type silicon can hardly be machined. With this technology, micro three-dimensional structures can be fabricated on silicon material.
