期刊：
Journal of Physics: Conference Series,2020年1600(1):012086 ISSN：1742-6588
通讯作者：
Peng, Zhigao
作者机构：
[Peng, Zhigao] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
通讯机构：
[Peng, Zhigao] H;Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
会议名称：
4th International Conference on Fluid Mechanics and Industrial Applications (FMIA)
会议时间：
JUN 27-28, 2020
会议地点：
ELECTR NETWORK
会议主办单位：
[Peng, Zhigao] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.
会议论文集名称：
Journal of Physics Conference Series
摘要：
Gas transport and storage mechanism in gas reservoirs with complex pore size distribution play a key role in gas production. In the nano-scale, during the process of density disturbance caused by depressurization development, notable output gas collides with the wall as they convey along the channel. The continuum assumption of fluid flow is therefore invalid, and taking the influence of particles to collide with solid walls into account is necessary. The effective viscosity and slip boundary conditions were introduced in the simulation. Meanwhile, because of the adsorption effect is one of the most important intrinsic properties of shale, the impact of surface adsorption on the solid wall by using Langmuir adsorption kinetics was also involved in our investigation. In this work, a unified LB model was developed for gas multiple transports and surface adsorption in nanopores. In the model, the double distribution function was employed for a coupled bulk flow and gas diffusion model. The model is valid within the range of the continuum regime to the transition regime and has been verified by the analytical solution and the results of some previously published works. The results show that (1) the driven force of the fluid, the combination coefficient of slippage and the Knudsen number of the flow have an impact on the adsorption rate, (2) adsorption effect only directly influence the local small region of the solid surface, and the induced concentration gradient makes the global concentration variation, (3) once acting the surface adsorption on the boundary, the flux falls more significant as Knudsen number increases.
摘要：
Encryption plays an important role in protecting data, especially data transferred on the Internet. However, encryption is computationally expensive and this leads to high energy costs. Parallel encryption solutions using more CPU/GPU cores can achieve high performance. If we consider energy efficiency to be cost effective using parallel encryption solutions at the same time, this problem can be alleviated effectively. Because many CPU/GPU cores and encryption are pervasive currently, saving energy cost by parallel encrypting has become an unavoidable problem. In this paper, we propose an energy-efficient parallel Advance Encryption Standard (AES) algorithm for CPU-GPU heterogeneous platforms. These platforms, such as the Green 500 computers, are popular in both high performance and general computing. Parallelizing AES algorithm, using both GPUs and CPUs, balances the workload between CPUs and GPUs based on their computing capacities. This approach also uses the Nvidia Management Library (NVML) to adjust GPU frequencies, overlaps data transfers and computation, and fully utilizes GPU computing resources to reduce energy consumption as much as possible. Experiments conducted on a platform with one K20M GPU and two Xeon E5-2640 v2 CPUs show that this approach can reduce energy consumption by 74% compared to CPU-only parallel AES algorithm and 21% compared to GPU-only parallel AES algorithm on the same platform. Its energy efficiency is 4.66 MB/Joule on average higher than both CPU-only parallel AES algorithm (1.15 MB/Joule) and GPU-only parallel AES algorithm (3.65 MB/Joule). As an energy-efficient parallel AES algorithm solution, it can be used to encrypt data on heterogeneous platforms to save energy, especially for the computers with thousands of heterogeneous nodes. (C) 2020 Elsevier B.V. All rights reserved.
摘要：
The reform of innovation and entrepreneurship education in colleges and universities is an important measure for the country to implement an innovation-driven development strategy and promote comprehensive reform of higher education. Based on the perspective of collaborative education, this article discusses the mode and mechanism of innovative entrepreneurship training under the multi-subject collaborative education model, and proposes the realization path of collaborative innovation and entrepreneurship training.
作者：
Qiang Chen;Chaoyun Chen;Fang Yu;Bo Shen;Cong Tan
期刊：
IOP Conference Series: Earth and Environmental Science,2020年455(1):012009 ISSN：1755-1307
作者机构：
[Yu F.; Shen B.; Tan C.] Hunan Eng. Lab. of Mod. Timber Struct. Eng. Materials Manufacturing and Application Technology, Central South University of Forestry and Technology, Changsha, 410004, China;College of Civil Engineering, Hunan City University, Yiyang, 413000, China;[Chen C.] Yiyang Highway and Bridge Construction Co., LTD., Yiyang, Hunan, 413000, China;[Chen Q.] Hunan Eng. Lab. of Mod. Timber Struct. Eng. Materials Manufacturing and Application Technology, Central South University of Forestry and Technology, Changsha, 410004, China<&wdkj&>College of Civil Engineering, Hunan City University, Yiyang, 413000, China
会议名称：
6th International Conference on Environmental Science and Civil Engineering, ESCE 2020
作者机构：
[Zheng Xie] Hunan City University, Yiyang, China
会议名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
会议时间：
January 2020
会议地点：
Vientiane, Laos
会议论文集名称：
2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)
关键词：
big data;human resource management;application
摘要：
With the development of information technology, the emergence of big data technologies and supporting solutions is helping companies to digitally transform. At the same time, corporate human resources management has also shifted from traditional problem-driven to data-driven in the era of big data, helping managers make more prudent and scientific human resource management decisions from a more dimensional perspective. Enterprise human resource management should actively use big data, keep up with the pace of the big data era, carry out a comprehensive innovation of itself, inject fresh blood into human resource work, and promote the further development of enterprise human resource management. Making full use of the advantages of data information and network platforms for human resource management. I believe that with the help of big data analysis, human resource management will become better and better for enterprises.
作者机构：
[Yining He] Hunan Flying Roc Information Technology Co., Ltd, Changsha, China;[Zheng Xie] Hunan city University, Yiyang, China;[Yixi Zhou; Xianglin Fu] College of Energy and Power, Changsha University of Science and Technology, Changsha
会议名称：
2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)
会议时间：
September 2019
会议地点：
Jishou, China
会议论文集名称：
2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS)
摘要：
Based on the virtual disassembly technology extended by virtual reality technology in the field of mechanical design and manufacturing, many experiments do not allow students to operate freely for various reasons, but are not affected in the computer. Since the training of employees in thermal power plants is generally based on the mentoring system, the training period is long and the effect is slow, so the virtual pump is used to model the front pump and build the fault library, including common mechanical faults, electrical fault types and disposal. The way to build the database, so that the new factory personnel can quickly master the system, thus saving manpower training costs. In the design process, 3D MAX, Unity, Visual Studio and other software were used to design the 3D graphics and disassemble the process according to the equipment standard, and the virtual simulation teaching can be combined with the physical equipment.
作者机构：
[KenLi Li] College of Computer Science and Electronic Engineering, Hunan University, Changsha, China;Department of Computer Science, State University of New York, New Paltz, NY;College of Information and Electronic Engineering, Hunan City University, Yiyang, China;[Shui Yu] School of Computer Science, University of Technology Sydney, NSW, Australia;[Xiongwei Fei] College of Computer Science and Electronic Engineering, Hunan University, Changsha, China<&wdkj&>College of Information and Electronic Engineering, Hunan City University, Yiyang, China
会议名称：
2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
会议时间：
December 2019
会议地点：
Gold Coast, QLD, Australia
会议论文集名称：
2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
关键词：
Energy consumption, Heterogeneous platform, Service quality, Scoring mechanism, Time constrain
摘要：
Motivated by cloud servers undertaking heavy encryption of outsourced data for diverse devices, an Economical and High-Quality Encryption Scheme is proposed to alleviate the burden of energy consumption of the servers meanwhile to keep high-quality services. The objective of the scheme is to minimize the cost that combines economy and service quality. For achieving this objective, a two-phase scoring mechanism is proposed. And then based on the above methods and the scoring mechanism, an algorithm achieving the scheme is designed. To evaluate the scheme, some experiments are performed on a heterogeneous platform. The experimental results show that the encryption algorithm can save energy consumption by 47.8% and slightly improve delay rate by 0.93/10000 on average compared with the original one.
摘要：
Metal/Semiconductor hybrid nanostructure is promising for its unique opt-electrical performance enhanced by surface plasmon resonance(SPR).However,the noble metals(Au,Ag,etc.)usually used for plasmonic are not cost-effective.In contrast,Bismuth is a cheap but promising metal with high plasmon-excitation efficiency comparable with Au.Here,the high crystalline Bi-nanorod/Si-nanodot hybrid structure is prepared by alternated sputtering of Bi and Si.FDTD simulation shows that the Bi-nanorod/Si-nanodot hybrid structure possesses red-shifted SPR resonance,in respect to that of Bi-nanorod.Some interesting SPR properties of Bi-nanorod/Si-nanodot hybrid structure including the split of longitudinal SPR mode is observed.Such hybrid-nanostructure could be useful in thermoelectric,sensor,battery electrodes,photodetector,etc.
作者机构：
[Weihong Chen; Weichu Xiao] School of Information and Electronic Engineering, Hunan City University, Yiyang, China
会议名称：
2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
会议时间：
August 2019
会议地点：
Zhangjiajie, China
会议论文集名称：
2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
摘要：
As an efficient way to provide computing resource and services to customers on demand, cloud computing has become more and more popular. From cloud customer perspective, computing cost is a sensitive consideration and it is mainly determined by the scheduling policy of a cloud service platform for parallel applications. In this paper, we present a novel scheduling algorithm for a bounded number of heterogeneous computing nodes with an objective to minimize the computing cost for scheduling DAGs (Directed Acyclic Graph) on the heterogeneous cloud platform, which is called the Search and Earliest Finish Time (SEFT) algorithm. The SEFT algorithm comprises two phases: 1) search and build the set of computing nodes with the cheapest cost; 2) plan task scheduling. Furthermore, the algorithm assigns tasks by their decrease order of the rank values to the computing node that minimizes EFT (Earliest Finish Time) of tasks based on insertion policy. The experimental results show that our proposed approach can not only guarantee the service quality of the application, but also obtain the lower computing cost than the existing approaches.
作者机构：
[Yin, Canbin] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Hunan, Peoples R China.;[Yin, Canbin; Yin, CB; Yu, Fang] Hunan ProKey Real Estate Gruop Ltd, Yiyang 413000, Hunan, Peoples R China.
会议名称：
2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
会议时间：
April 2019
会议地点：
Qiqihar, China
会议主办单位：
[Yin, Canbin] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Hunan, Peoples R China.^[Yin, Canbin;Yu, Fang] Hunan ProKey Real Estate Gruop Ltd, Yiyang 413000, Hunan, Peoples R China.
会议论文集名称：
2019 11th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA)
关键词：
continuous rigid frame bridge;concrete box girder;sunshine temperature difference calculation;nonlinearity
摘要：
Based on the basis of observation data of box-beam temperature field, this study presented an comparative analysis of regulations on box-beam temperature gradient between China and foreign bridge engineering design, and proposed a new temperature difference distribution mode of concrete box beam along height of section. Finally, this study analyzed the external constraint temperature stress and temperature self-restrained stress of extra-long Longtan River bridge under different working conditions using ANSYS software, and compared them with measured results. This study provides reference for the measurement of sunshine temperature difference effect of box beam bridge.
摘要：
Encryption plays an important role in protecting data, especially data transferred on the Internet. However, encryption is computationally expensive and this leads to high energy costs. Parallel encryption solutions using more CPU/GPU cores can achieve high performance. If we consider energy efficiency to be cost effective using parallel encryption solutions at the same time, this problem can be alleviated effectively. Because many CPU/GPU cores and encryption are pervasive currently, saving energy cost by parallel encrypting has become an unavoidable problem. In this paper, we propose an energy-efficient parallel Advance Encryption Standard (AES) algorithm for CPU-GPU heterogeneous platforms. These platforms, such as the Green 500 computers, are popular in both high performance and general computing. Parallelizing AES, using both GPUs and CPUs, balances the workload between CPUs and GPUs based on their computing capacities. This approach also uses the Nvidia Management Library (N-VML) to adjust GPU frequencies, overlaps data transfers and computation, and fully utilizes GPU computing resources to reduce energy consumption as much as possible. Experiments conducted on a platform with one K20M GPU and two Xeon E5-2640 v2 CPUs show that this approach can reduce energy consumption by 74% compared to CPU-only parallel AES and 21% compared to GPU-only parallel AES on the same platform. Its energy efficiency is 4.66 MB/Joule on average higher than both CPU-only parallel AES (1.15 MB/Joule) and GPU-only parallel AES (3.65 MB/Joule). As an energy-efficient parallel AES solution, it can be used to encrypt data on heterogeneous platforms to save energy, especially for the computers with thousands of heterogeneous nodes.
期刊：
IOP Conference Series: Earth and Environmental Science,2019年330(2):022099 ISSN：1755-1307
作者机构：
[Yang Y.] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China;Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Central South University, Ministry of Education, Changsha, Hunan, China;[Liu J.] School of Tourism, Central South University of Forestory and Technology, Changsha, China;[Sun Y.] School of Science, Central South University of Forestory and Technology, Changsha, China;[Xue Y.] School of Municipal and Surveying Engineering, Hunan City University, Yiyang, Hunan, China<&wdkj&>Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Central South University, Ministry of Education, Changsha, Hunan, China
会议名称：
2019 International Conference on Advances in Civil Engineering, Energy Resources and Environment Engineering, ACCESE 2019
