Anqing Teachers College is an institution of higher learning, located in Anqing, Anhui Province of the People's Republic of China.The history of the college dates back to 1897, when the earliest and largest provincial school in Anhui, Jinfu Academy , was relocated to Linghu Campus. Famed pundits and traditional scholars such as Liu Dagui, Wang Liangwu, Quan Zuwang and Yao Nai, all served as the headmaster . In 1898, emperor Guangxu of Qing Dynasty ordered it be renamed as Qiushi Academy . In 1902, it was called Anhui Grand Academy. Later, it became Anhui Military Academy, Anhui Army's Academy, and Anhui Judicial and Political College. In 1928, Anhui Provincial University was formed here. In 1946, it became National Anhui University, and thus attained its climax in Chinese modern history of higher education.After the establishment of the People's Republic of China, due to the drift of the political center, the school witnessed a series of alterations over the time, though the education mission has never been discontinued. It once became a Navy Academy, a Normal College, and a branch campus of Anhui Normal College. In May 1980, upon the approval of the State Council, it was renamed Anqing Teachers College. In 1998, the college held its 100th anniversary celebration.In 2010, Anqing Teachers College established a sister institution partnership with Salisbury University in the US state of Maryland. Wikipedia.
News Article | September 26, 2017
SUNNYVALE, Calif. & BEIJING--(BUSINESS WIRE)--JingChi Inc. (“JingChi”), the leading self-driving technology company from China, announced today the completion of a combined $52 million pre-A investment round from lead investor Qiming Venture (“Qiming”), strategic investor NVIDIA GPU Ventures, and a consortium of other investors. The investment allows JingChi to rapidly expand its research and development teams globally, and ramp up deployment of a fully Level 4 autonomous driving test fleet in China by the end of 2017. Duane Kuang, Founding Partner at Qiming, will join JingChi’s board of directors. JingChi was founded in early April 2017 and has already broken several records in its brief autonomous driving history. In less than five weeks, the Company successfully completed autonomous driving tests in a closed venue. On June 18, JingChi became the 34th company to obtain a license for testing autonomous vehicles on California’s public roads. On June 24, JingChi completed its first autonomous mode testing on public roads in Sunnyvale, California, just 81 days after JingChi started operations. On August 15, 2017, JingChi signed a comprehensive agreement with Anqing City, China, allowing JingChi to deploy a fleet of 50 autonomous test vehicles with initial operations slated to launch as early as the end of 2017. The company plans to deploy hundreds of autonomous vehicles powered by NVIDIA DRIVE PX in 2018 to provide a “Robotaxi” ride-hailing service in Anqing City. “We are creating an innovative mobility ecosystem to transform every single trip to be safer, more efficient, more cost-effective and more leisurely,” said Jing Wang, founder and CEO of JingChi. “We are determined to bring fully autonomous vehicles to China and become one of the first companies that apply autonomous driving technologies at scale in 2020. With this investment, it makes our dream possible.” "The NVIDIA DRIVE PX AI platform is crucial to developing and deploying deep learning capabilities for JingChi and most other autonomous vehicle projects around the world,” said Tony Han, co-founder and CTO of JingChi. “NVIDIA offers significant computational advantages that will boost in-vehicle computation abilities, making JingChi's autonomous vehicles safer and more reliable. JingChi is eager to work with NVIDIA to maximize the benefits of DRIVE PX to realize its vision of bringing autonomous ride-hailing to China. With NVIDIA’s partnership and investment, JingChi can further accelerate autonomous vehicle technology development." “Qiming has been closely monitoring the artificial intelligence and autonomous driving space in the last few years. We truly believe these are transformative technologies that will benefit human kind in the years to come,” said Duane Kuang, Qiming Founding Managing Partner. “We are extremely impressed with Jing and the team at JIngChi, and feel fortunate to embark on this journey from the beginning with the team, to become one of the world’s first companies to introduce autonomous driving to the mass market.” “Artificial intelligence is reshaping the entire transportation industry, and we are excited by JingChi’s vision for harnessing deep learning for autonomous driving,” said Jeff Herbst, vice president of Business Development at NVIDIA. “They are making impressive progress and we’re dedicated to supporting their important work.” “Anqing is a historical and culturally significant city,” said Lei Dong, Anqing Vice Mayor. “With the release by the State Council of the 'Next Generation Artificial Intelligence Development Plan', we are accelerating the development of strategic national industries which will serve to modernize the City. We fully support JingChi’s plan to have R&D and testing facilities in Anqing and jointly build the operating model for autonomous vehicle operations.” JingChi is a rapidly growing autonomous driving company, and has more than 50 full time employees. More than 80% of employees are engineers and most have PhD degrees from top ranking universities including CMU, UIUC, Stanford, UC Berkeley, USC, etc. The core technical team has decades of combined experience working on a variety of autonomous driving projects for multiple companies such as Baidu, Ucar, Didi, Uber, and Tesla. Founded in 2017 by Jing Wang together with a group of talented passionate individuals, JingChi has emerged as the leading Chinese autonomous driving startup aiming to be the first company to achieve large-scale, commercial deployment of fully Level 4 autonomous vehicles in China. JingChi is committed to using deep learning to deliver fully autonomous vehicles that operate without human intervention by using a combination of LiDAR, cameras, and radar sensors along with artificial intelligence to perceive the driving environment and navigate the quickest and safest path to the final destination. JingChi is developing software and systems for fully autonomous vehicles in order to deliver a safe, robust, and convenient MaaS (Mobility as a Service) to the public. Please visit http://jingchi.ai for more information regarding JingChi and open job positions. Founded in 2006, Qiming is a leading China venture capital firm with offices in Shanghai, Beijing, Suzhou and Hong Kong. In 2016, Qiming raised its first US fund, and set up Qiming’s US office in Seattle. Currently Qiming manages five US Dollar funds and four RMB funds in China with US$2.7 billion assets under management. Qiming strives to be the investor of choice for top entrepreneurs in China. Since our debut, we have backed over 210 young, fast-growing and innovative companies across China in the internet and consumer ("Intersumer"), healthcare, information technology and clean technology sectors. Over 30 of them are already listed on NYSE, NASDAQ, HKEx, Gretai Securities Market, Shanghai Stock Exchange, and Shenzhen Stock Exchange or achieved exit through M&A. Qiming consistently ranks among the top venture firms in terms of returns to its investors. For more information regarding Qiming, visit www.qimingvc.com. Anqing City in Anhui Province is a national and culturally significant city situated on the north bank of the Yangtze River. Founded in the 2nd century BC, Anqing is a renowned garden city, tourist attraction, and a designated model green city by the China National City Urban Association. In recent years, Anqing has made significant progress in strategic emerging industries such as high-end equipment manufacturing, bio-medicine, and new energy vehicles. In addition to its easy access and navigation of the Yangtze River, Anqing is connected by high-speed rail, modern expressways, and an airport to cities throughout China. New developments in public roadways also make Anqing very suitable for the testing and operation of autonomous vehicles. For more information regarding Anqing, visit www.anqing.gov.cn.
Yin Z.,Anqing Teachers College
Journal of Computational and Theoretical Nanoscience | Year: 2016
Computer visual simulation includes the process of acquiring, transmitting, processing, filtering, storing and understanding of visual information, obtaining the cognition and understanding of the external world based on image sequence. This paper presents the design of the virtual reality technology into the computer vision system. By using computer, we are able to simulate the vision; not only this, many biological visual function flawlessly as a result of long-term evolution, biological vision for visual information processing method can give us good inspiration. Virtual reality is a new human-computer interaction technology, by using this method, human or agent can enter into an almost unlimited data space, quickly and easily with the things interact. Experimental results show that the evolutionary computation method is very versatile and can be used in many aspects of computer vision, and it often has a good performance. Copyright © 2016 American Scientific Publishers All rights reserved.
Zhang H.,Anqing Teachers College
Journal of Nonlinear Mathematical Physics | Year: 2017
We introduce Frobenius algebra ℱ-valued (n, m)th KdV hierarchy and construct its bi-Hamiltonian structures by employing ℱ-valued pseudo-differential operators. As an illustrative example, the (1, 1)th (Figure presented.) -valued case is analyzed in detail. Its Hamiltonian structures and recursion operator are derived. Infinitely many symmetries, conservation laws and explicit flow equations are also obtained. © 2017 the authors.
Hai Z.,Anqing Teachers College
Journal of University of Science and Technology of China | Year: 2016
A non-canonical metric on two-dimensional torus was introduced. It was proved that its geodesic flow is Liouville integrable and has vanishing topological entropy when restricted onto invariant hypersurface.
Zheng F.,Suzhou University of Science and Technology |
Zhu D.,Suzhou University of Science and Technology |
Zhu D.,Anqing Teachers College |
Chen Q.,Suzhou University of Science and Technology |
Chen Q.,CAS Hefei Institutes of Physical Science
ACS Applied Materials and Interfaces | Year: 2014
Herein, we report a novel and facile route for the large-scale fabrication of 2D porous NixCo3-xO4 nanosheets, which involves the thermal decomposition of NixCo1-x hydroxide precursor at 450 °C in air for 2 h. The as-prepared 2D porous Ni xCo3-xO4 nanosheets exhibit an enhanced lithium storage capacity and excellent cycling stability (1330 mA h g-1 at a current density of 100 mA g-1 after 50 cycles). More importantly, it can render reversible capacity of 844 mA h g-1, even at a high current density of 500 mA g-1 after 200 cycles, indicating its potential applications for high power LIBs. Compared to pure Co 3O4, the reduction of Co in NixCo 3-xO4 is of more significance because of the high cost and toxicity of Co. The improved electrochemical performance is attributed to the 2D structure and large amounts of mesopores within the nanosheets, which can effectively improve structural stability, reduce the diffusion length for lithium ions and electrons, and buffer volume expansion during the Li + insertion/extraction processes. © 2014 American Chemical Society.
Jiang S.,Jiangnan University |
Jiang S.,Anqing Teachers College |
Ji Z.,Jiangnan University |
Shen Y.,Jiangnan University
International Journal of Electrical Power and Energy Systems | Year: 2014
Particle swarm optimization (PSO) is inspired by social behaviors of bird flocking, gravitational search algorithm (GSA) is based on the law of gravity and interaction between masses, and both of them are pertain to meta-heuristic algorithms. A novel hybrid particle swarm optimization and gravitational search algorithm (HPSO-GSA), having attributes of PSO and GSA, is proposed in this paper to solve economic emission load dispatch (EELD) problems considering various practical constraints. These constraints consist of the generator ramp rate limits, non-convex and discontinuous nature of prohibited operating zones, non-smooth characteristic of valve-point effects, multiple fuels type of generation units, and transmission losses in realistic power systems. The proposed approach embodies interesting concepts and fully incorporates the social essence of PSO with the motion mechanism of GSA. The proposed HPSO-GSA adopts co-evolutionary technique to simultaneously update particle positions with PSO velocity and GSA acceleration. HPSO-GSA, therefore, is expected to obtain an efficient balance between exploration and exploitation. From results of canonical benchmark test functions, HPSO-GSA does significantly improve PSO and GSA with better performance. As a real application, the EELD problems on five test systems including different constraints are solved by the HPSO-GSA to assess the optimizing performance of the proposed hybrid approach. The results obtained confirm the potential and effectiveness of the proposed approach compared to PSO, GSA and other algorithms published in the recent state-of-the art literatures for the solution of the EELD problems. © 2013 Elsevier Ltd. All rights reserved.
Min Y.-L.,Anqing Teachers College |
Zhang K.,Sungkyunkwan University |
Chen Y.-C.,Anqing Teachers College |
Zhang Y.-G.,Anqing Teachers College
Separation and Purification Technology | Year: 2012
Bi 2WO 6 is incorporated on graphene sheets using a facile refluxing method to improve its photocatalytic performance. Remarkable three times enhancement in photodegradation of Rh.B is observed on Bi 2WO 6/graphene composite compared with pure Bi 2WO 6 under visible light irradiation. This improvement is attributed to the longer electron lifetime of excited Bi 2WO 6 as the electrons even if holes are injected to graphene instantly at the site of generation, leading to a maximized charge separation. This study demonstrated that the graphene as supporter could provide an effective way for enhancing photocatalytic performance of semiconductor photocatalysts by acting as charge transfer channel. © 2011 Elsevier B.V. All rights reserved.
Min Y.,Shanghai University of Electric Power |
Min Y.,Anqing Teachers College |
He G.,Anqing Teachers College |
Xu Q.,Shanghai University of Electric Power |
Chen Y.,Anqing Teachers College
Journal of Materials Chemistry A | Year: 2014
In this study, we have demonstrated a Z-scheme photocatalytic system using Ag@AgCl encapsulated with graphene oxide (GO) (AEGO) composites, where GO and AgCl act as a highly activated photocatalyst, and metallic Ag shuttles photogenerated electrons from the excited GO and AgCl under visible light irradiation. The electron-hole pairs of the low energy level could be recombined in space by metallic Ag as a solid-state electron mediator, the remaining electron-hole pairs of the high energy level are for two photochemical reactions that operate in parallel. The Z-scheme photocatalytic system from the AEGO composite displays a much higher photocatalytic activity than Ag@AgCl-reduced graphene oxide (RGO) with the same quantitative graphene loading (15 wt%) for the degradation of methylene blue (MB). This work may provide a guide to the design of photocatalysts by the use of GO directly. © 2014 The Royal Society of Chemistry.
Wu X.,Anqing Teachers College |
Dong Y.,Anqing Teachers College
New Journal of Chemistry | Year: 2014
Stacking fault (sf) and twin defects in Pd, Au-Pd, and Au-Pd-Pt clusters are theoretically studied, which has affected the mechanical properties of face centered cubic (fcc) metal and alloy clusters. The stable structures are located with Gupta potential by the density functional theory (DFT)-fitted and averaged parameters. In Pd30-200 clusters, besides morphologies, such as Mackay icosahedra (Ih) and Marks decahedra (Dh), fcc, sf-fcc, and twin-fcc motifs are identified. Furthermore, the growth pattern of twin-fcc is based on the 50- and 79-atom motifs with high D3h symmetry, and the construction method for all possible D3h twin-fcc is proposed starting from centered and uncentered truncated octahedra. Moreover, a strong competition among fcc, sf-fcc, twin-fcc, Ih, and Dh is found in AumPdn (m + n = 50 and 61) and 55-atom Au-Pd-Pt clusters. The segregation phenomena of the Au, Pd, and Pt atoms in the Au-Pd-Pt clusters are studied and further compared with Au-Pd, Au-Pt, and Pd-Pt clusters. © 2014 the Partner Organisations.
Zhou H.,Nanjing Xiaozhuang University |
Liu G.-X.,Nanjing Xiaozhuang University |
Wang X.-F.,Nanjing Xiaozhuang University |
Wang Y.,Anqing Teachers College
CrystEngComm | Year: 2013
To investigate the effect of organic anions on the coordination frameworks, we synthesized three new complexes, namely, Co(SDBA)(BIMB) (1), Co 2(SA)(BIMB)1.5(H2O) (2) and Co(FBA)(BIMB) 0.5·H2O (3) (H2SDBA = 4,4′-dicarboxybiphenylsulfone, H4SA = 3,3′,4,4′- diphenylsulfonetetracarboxylate acid and H2FBA = 4,4′- (hexafluoroisopropylidene)bis(benzoic acid)), which were obtained by the reactions of 4,4′-bis(1-imidazolyl)biphenyl (BIMB), and three V-shaped aromatic polycarboxylates as organic anions with Co(NO3) 2·6H2O. Single crystal structure analysis shows that complex 1 features a 3-fold interpenetrating three-dimensional (3D) framework with CdSO4-type topology. Complex 2 has a previously unknown 3D trinodal (4,4,6)-connected framework with a Schläfli symbol of (4·64·8)2(43·6 3)2(44·610·8). Complex 3 exhibits a three-dimensional 2-fold interpenetrating pillared helical-layer open framework of α-Po topology based upon binuclear paddlewheel units. The results reveal that the carboxylic building blocks with different conformations play a significant role in promoting the diversity of the observed structural motifs. The magnetic properties of the three complexes as well as the SHG and ferroelectric properties for 1 have also been investigated. Finally, theoretical calculations were carried out on the conformation of the BIMB ligand in the three complexes. © 2013 The Royal Society of Chemistry.