News Article | May 22, 2017
BEIJING--(BUSINESS WIRE)--Nutanix (NASDAQ: NTNX), a leader in enterprise cloud computing, today announced the private cloud deployment of SAIC Volkswagen, a Sino-German joint venture between Shanghai Automotive Industry Corporation (SAIC Motor) and Volkswagen Group. The speed and ease of deployment enabled the automotive giant to continue innovating efficiently without worrying about the fundamental IT support needed across its many departments ranging from research and development (R&D) to manufacturing, transportation, logistics, car sales and consumer relations programs. SAIC Volkswagen’s business critical applications – including the corporate internal management system, reporting system, and process management system, as well as the POC test server for new product solutions – are supported by over 1,000 servers with a lean, 20-strong IT team. The deepening of IT applications, which requires web-scale infrastructure with higher flexibility and leaner scalability, has increased the need for efficient delivery of information services for a company that sells more than 2 million cars a year. The tight coupling between daily operations and company objectives mandates a more efficient IT infrastructure. SAIC Volkswagen’s IT team faced three challenges in operations and maintenance during the past years. First, there were the management and maintenance costs surrounding their legacy three-tier datacenter. The costs of each tier (compute, networking, and storage) had increased significantly, compounding with the resource needs of the rapidly expanding applications and services needed to support business growth. Second, due to the diversity of applications, each with unique requirements, it was difficult to match compute needs with available storage performance capabilities. The situation caused deployments where applications were underutilizing their hardware or attached to storage that far exceeded the performance need. This level of waste was unacceptable to SAIC Volkswagen. Third, the options to scale-up the storage was limited by the inherent complexity and technical limitations of the storage vendor. In addition, it also required lengthy internal procurement process, causing delays in meeting the demand from the various departmental application owners. Seeking to overcome these challenges, SAIC Volkswagen completed thorough market analysis concluding on the decision to run a private cloud deployment proof of concept (PoC) with Nutanix. During the PoC, it was discovered that procurement and maintenance costs were reduced while the internal procurement process was streamlined. This drastically reduced the response time to requests from various business departments delivering more agile support with better control functionality. “After the initial test, we found that the Nutanix enterprise cloud solutions were very much consistent with SAIC Volkswagen’s plan for private cloud in terms of both functions and performance. Some of the features are so impressive that they went beyond our expectations,” said Wang Chunxiao, project lead at SAIC Volkswagen. “In addition, the distributed storage of Nutanix saves us the trouble of buying the entire fibre-optic network and centralized storage, which makes it very appealing and advanced from the cost, management and horizontal expansion perspectives.” Wang was particularly impressed by the ease of use and management of the Nutanix solution, specifically around “one-click” system upgrades. “To upgrade the system, all you need to do is click the button to upgrade. All the Nutanix nodes would be automatically upgraded in the background, and the front-end users would not even notice the upgrade during the whole process.” A complete ‘hassle-free’ solution, is how he described it. Tasks in the previous environment, based on manual operations, which would typically take two days now only required one to two hours. The efficiency brought by an automated one-click process makes Nutanix a perfect fit for teams with limited manpower, letting the IT teams focus on higher value tasks for the business. The rapid deployment and launch of the Nutanix solution not only accelerated the R&D of new products and shortened the time to value, but it also saved valuable space and power in SAIC Volkswagon’s datacenter. The Nutanix platform only required 4U of rack space, drastically lower than the minimum of 20U required by the previous three-tier solution. “During this age of digital transformation, traditional companies have all embarked on the path of IT transformation one way or another,” said Matt Young, SVP and Head of Asia-Pacific and Japan at Nutanix. “For companies that have invested heavily in IT applications, the optimizing of IT architecture has become an effective way to boost competitiveness. As a global leading automotive company, SAIC Volkswagen has a complex structure and a large business portfolio, and its experience of private cloud infrastructure can be of high relevance and educational value to many similar organizations.” Nutanix makes infrastructure invisible, elevating IT to focus on the applications and services that power their business. The Nutanix Enterprise Cloud Platform leverages web-scale engineering and consumer-grade design to natively converge compute, virtualization and storage into a resilient, software-defined solution with rich machine intelligence. The result is predictable performance, cloud-like infrastructure consumption, robust security, and seamless application mobility for a broad range of enterprise applications. Learn more at www.nutanix.com or follow us on Twitter @nutanix. © 2017 Nutanix, Inc. All rights reserved. Nutanix is a trademark of Nutanix, Inc., registered in the United States and other countries. All other brand names mentioned herein are for identification purposes only and may be the trademarks of their respective holder(s).
Shi X.,Shanghai Automotive Industry Corporation |
Chi H.,Wuhan University |
Wu J.,Wuhan University
Asia-Pacific Power and Energy Engineering Conference, APPEEC | Year: 2010
In order to improve the performance of switched reluctance driving system, it is necessary to build an accurate switched reluctance motor (SRM) model. In this paper, a nonlinear flux-linkage model and a torque model of SRM are presented by using the measured accurate flux-linkage data, torque data and nonlinear mapping ability of BP neural network, which is based on fast self-configuring algorithm. In contrast with the traditional models, these two models have the abilities of fast convergence in training, good learning generalization, small network scale and easy real-time control. An experiment is carried out to demonstrate the accuracy and feasibility of the presented models. The result shows that the models have a better accuracy than the previous ones and are good for further optimization of the energy conversion and reducing the torque ripple. ©2010 IEEE.
Wang Z.,East China University of Science and Technology |
Pan Z.,PLA University of Science and Technology |
Ni X.,Shanghai Automotive Industry Corporation
Proceedings - 2010 6th International Conference on Natural Computation, ICNC 2010 | Year: 2010
It is well-known that the DoubleMinOver classifier as an extendibility of MinOver was developed to provide a maximum margin solution with a bias. But, it can be found that the DoubleMinOver algorithm only classifies the vector pattern and fails to work in the pattern represented with the second-order tensor. In this paper, we propose a novel DoubleMinOver classifier named STDoubleMinOver that can directly classify the second-order tensor pattern. Compared with the existing DoubleMinOver with only one weight w, the proposed STDoubleMinOver induces two weight vectors u and v so as to deal with the second-order tensor. The experiments here have demonstrated that the proposed STDoubleMinOver has a superior classification to the vectorized DoubleMinOver. © 2010 IEEE.
News Article | December 16, 2016
BEIJING, Dec. 16, 2016 (GLOBE NEWSWIRE) -- Autohome Inc. (“Autohome” or the “Company”) (NYSE:ATHM), a leading online destination for automobile consumers in China, today announced that each of the proposed resolutions submitted for shareholder approval has been approved at its annual general meeting of shareholders held in Hong Kong today (the “2016 AGM”). Specifically, Autohome’s shareholders adopted the following resolutions: 1. Mr. Junling Liu be re-elected as a director of the Company and each director of the Company be and is hereby authorized to take any and every action that might be necessary to effect the foregoing resolution as such director, in his or her absolute discretion, thinks fit. 2. Mr. Tianruo Pu be appointed as a director of the Company and each director of the Company be and is hereby authorized to take any and every action that might be necessary to effect the foregoing resolution as such director, in his or her absolute discretion, thinks fit. 3. Mr. Dazong Wang be appointed as a director of the Company and each director of the Company be and is hereby authorized to take any and every action that might be necessary to effect the foregoing resolution as such director, in his or her absolute discretion, thinks fit. 4. Approve, confirm and ratify the adoption of the 2016 Share Incentive Plan II (as amended by Amendment No. 1 to the 2016 Share Incentive Plan II). Pursuant to Article 88 of the Articles of Association of the Company, each of Mr. Guangfu Cui, Mr. Ted Tak-Tai Lee and Mr. Junling Liu is subject to retirement as director of the Company by rotation as of the 2016 AGM on December 16, 2016. Mr. Junling Liu was re-elected as a director of the Company at the 2016 AGM pursuant to the above resolution adopted by the shareholders of the Company. Mr. Tianruo Pu and Mr. Dazong Wang were appointed as directors of the Company at the 2016 AGM pursuant to the above resolutions adopted by the shareholders of the Company. The Board has reviewed the independence of Mr. Pu and Mr. Wang, and determined that they satisfy the "independence" requirements of Section 303A of the Corporate Governance Rules of the New York Stock Exchange and the "independence" standards under Rule 10A-3 under the Securities Exchange Act of 1934. Mr. Tianruo Pu currently serves as an independent director and chairman of the audit committee of Wowo Limited, a Chinese internet e-commerce company listed on the NASDAQ, as an independent director and member of the audit committee of Renren Inc., a Chinese social network platform listed on the New York Stock Exchange, and as an independent director and chairman of the audit committee of 3SBio Inc., a Chinese bio-pharmaceutical company listed on the Hong Kong Stock Exchange. Mr. Pu is also the chief financial officer of Zhaopin Limited, an internet recruiting company listed on the New York Stock Exchange. Mr. Pu has more than twenty years of work experience in finance and accounting in both the United States and China. Prior to joining Zhaopin, Mr. Pu was the chief financial officer of UTStarcom, a global telecommunications equipment company listed on the NASDAQ, and prior to that, Mr. Pu served as the chief financial officer at China Nuokang Bio-Pharmaceutical Inc. Mr. Pu received an MBA degree from Northwestern University Kellogg School of Management in 2000 and a master of science degree in accounting from the University of Illinois in 1996. Mr. Dazong Wang has been the founder and the chairman of Ophoenix Capital Management since 2011. From 2008 to 2011, Mr. Wang was the president and chief executive officer of Beijing Automotive Industry Corporation. Between 2006 to 2008, Mr. Wang served as the vice president of Shanghai Automotive Industry Corporation, where he was responsible for engineering and key component operations. Prior to this, Mr. Wang served several positions in General Motors Company, or GM, from 1985 to 2006, including, senior technician, China country manager and engineering director for North America operations. Mr. Wang received a Ph.D degree from Cornell University and a master of science degree from Huazhong University of Science and Technology in China. Autohome Inc. (NYSE:ATHM) is the leading online destination for automobile consumers in China. Its mission is to enhance the car-buying and ownership experience for auto consumers in China. Autohome provides professionally produced and user-generated content, a comprehensive automobile library, and extensive automobile listing information to automobile consumers, covering the entire car purchase and ownership cycle. The ability to reach a large and engaged user base of automobile consumers has made Autohome a preferred platform for automakers and dealers to conduct their advertising campaigns. Further, the Company’s dealer subscription and advertising services allow dealers to market their inventory and services through Autohome’s platform, extending the reach of their physical showrooms to potentially millions of internet users in China and generating sales leads for them. The Company offers sales leads, data analysis, and marketing services to assist automakers and dealers with improving their efficiency and facilitating transactions. As a transaction-centric company, Autohome operates its “Autohome Mall,” a full-service online transaction platform, to facilitate transactions for automakers and dealers. Further, through its website and mobile applications, it also provides other value-added services, including auto financing, auto insurance, used car transactions, and aftermarket services. For further information, please visit www.autohome.com.cn.
Li Y.-P.,Tongji University |
Liu H.-J.,Tongji University |
Tong R.-H.,Shanghai Automotive Industry Corporation
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | Year: 2011
To realize lightweight scheme selection for car-body effectively, a method of lightweight scheme selection for car body based on multi-objective satisfaction decision mechanism was proposed. Based on the data performance analysis of the different schemes, aiming at weight reduction, cost deduction, and performance improvement, measuring weight coefficient of every object according to the importance for the lightweight scheme selection, the multi-objective optimization of the lightweight scheme selection was constructed. Multi-objective satisfaction decision mechanism was introduced to evaluate the general satisfaction of different lightweight schemes, and the largest satisfaction scheme with validation as the appropriate scheme was obtained. The effectiveness of this scheme was verified by the case of the car body engine hood.
Cai L.,Tongji University |
Wang P.,Tongji University |
Wang C.,Tongji University |
Wang X.,Tongji University |
Zou Q.,Shanghai Automotive Industry Corporation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015
The vehicle collision warning system (CWS), enabled by recent advances in positioning systems and wireless communication technologies, plays a significant role in reducing traffic accidents. Since vehicle position is the most frequently exchanged information in vehicular networks and the key information in collision prediction, it becomes crucial to establish a strong level of trust in the positions, especially in active safety applications. To this end, in this paper we proposed a cooperative collision warning system (CCWS) based on digital map and dynamic vehicle model fusion. In CCWS, vehicles broadcast self-relevant information to neighbor vehicles periodically. In contrast to conventional methods that use only vehicle’s dynamic models, the proposed system takes the information provided by a digital map into consideration to improve the accuracy of vehicle position estimation. Each vehicle calculates whether a potential collision may occur by fusing the dynamic vehicle model, digital map and the information received. If such a dangerous situation is predicted, an alarm will be triggered to inform the driver. Our experiment results show that the CCWS has a better performance in vehicle position estimation and collision prediction compared with the CWS without considering cooperation. © Springer International Publishing Switzerland 2015.
Guo R.,Tongji University |
Cao C.,Tongji University |
Mi Y.,Tongji University |
Huang Y.,Shanghai Automotive Industry Corporation
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering | Year: 2016
The electrification of vehicles has caused a great change in the characteristics of noise, vibration and harshness. A range-extended electric vehicle has complicated noise and vibration problems because it behaves both like a traditional vehicle and like a battery electric vehicle as well as having its own specific noise, vibration and harshness properties. Therefore, increasing attention should be paid to these issues. This paper is intended as a contribution to the current research on the noise, vibration and harshness of a range-extended electric vehicle. The electric driveline, the auxiliary power unit and the accessories, including the power steering pump, the electric vacuum pump and the air conditioner compressor, are tested and their noise, vibration and harshness performances are analysed. The results indicate that the high-frequency noise of the electric driveline and the vibrations of the auxiliary power unit and the air conditioner compressor are crucial noise, vibration and harshness issues of a range-extended electric vehicle. Some improvement methods are implemented or proposed for better comfort in the passenger compartment. Application of a material which is sound insulating and sound absorbing proved to be an effective countermeasure. The design and refinement of a vibration isolation system for the auxiliary power unit and the air conditioner compressor are of great importance. A reduction in the low-frequency torsional resonance of the auxiliary power unit shaft during a start-stop process is a new problem compared with that of a conventional engine. It is necessary to find a well-balanced compromise between the expected acoustic feedback and the power demand. © Institution of Mechanical Engineers.
Zhang H.,Tongji University |
Zhang H.,Shanghai Automotive Industry Corporation |
Zhong Z.,Tongji University |
Chen X.,Tongji University
International Journal of Automotive Technology | Year: 2015
In the process of mechanism creative design, structure synthesis is the primary and the most important issue. This paper proposes a systematic and automatic synthesizing method of fixed-axle gear sets by means of morphological analysis. And the process is implemented to synthesize Electrified Mechanical Transmission (EMT) schemes which are parallel hybrid electric transmission composed of fixed-axle gear sets. First, independent design parameters as well as feasibility constraints and consistency conditions are defined by analyzing the structure and functions of EMT. According to these boundary conditions, structure variables such as the quantity of components and their connection relationship are solved. Then, the scheme quantity of each structure type is synthesized. Secondly, based on the abstraction of practical mechanisms with topology models, the corresponding adjacency matrixes are derived, and they are used to filtering unqualified schemes and retrieve all potential transmission paths of the remaining schemes. These potential transmission paths are further used to find out the layout and operating mode of each scheme. Finally, all schemes satisfying the structural and functional requirements are synthesized. For example, one EMT prototype is built based on one of the final schemes found and an ICE car is modified to adapt to such transmission. Vehicle test results verify the effectiveness and feasibility of the chosen transmission scheme. © 2015, The Korean Society of Automotive Engineers and Springer-Verlag Berlin Heidelberg.
Yao J.H.,Hubei Key Laboratory of Advanced Technology for Automotive Components |
Wang Z.R.,Hubei Key Laboratory of Advanced Technology for Automotive Components |
Lu Q.,Shanghai Automotive Industry Corporation
Advanced Materials Research | Year: 2014
In this research, a virtual cab package model had been established in CATIA which was used for driving posture prediction in RAMSIS. 40 cab package schemes and the corresponding driving postures could be acquired by adjusting the parameters of the steering wheel, the clutch pedal and the seat. The quantitative analysis between cab package parameters and driving posture was researched using regression method. And the regression functions that clearly express the relationship between them were concluded, which could be used for directing the design and optimization of the cab package schemes. © (2014) Trans Tech Publications, Switzerland.
Tao J.,Shanghai Automotive Industry Company |
Yao L.,Shanghai Automotive Industry Company |
Gu Y.,Shanghai Automotive Industry Company |
Zhang J.,Shanghai Automotive Industry Company
Jixie Qiangdu/Journal of Mechanical Strength | Year: 2013
As the failure mode of flanged joint in a vehicle during assembly for example, with analysis and better resolution, it told us the relationship between thread stripped failure mode and thread engagement length. First, the article explained the failure mode effects of the bolted joint, then analyzed the root cause of thread stripped failure modes. Finally, with the validation test of bolted joint, the article summarized the situation that we should pay attention to thread engagement length during the bolted joints design.