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Wang L.,Beihang University | Xu L.D.,Shanghai JiaoTongUniversity | Xu L.D.,Old Dominion University | Bi Z.,Indiana University - Purdue University Fort Wayne | Xu Y.,China National Institute of Standardization
IEEE Transactions on Industrial Informatics | Year: 2014

Today's manufacturing environments are very dynamic and turbulent. Traditional enterprise information systems (EISs) have mostly been implemented upon hierarchical architectures, which are inflexible to adapt changes and uncertainties promptly. Next-generation EISs must be agile and adaptable to accommodate changes without significant time delays. It is essential for an EIS to obtain real-time data from the distributed and dynamic manufacturing environment for decision making. Wireless sensor networks (WSNs) and radio-frequency identification (RFID) systems provide an excellent infrastructure for data acquisition, distribution, and processing. In this paper, some key challenges related to the integration of WSN and RFID technologies are discussed. A five-layer system architecture has been proposed to achieve synergistic performance. For the integration of WSN and RFID, one of the critical issues is the low efficiency of communication due to redundant data as redundant data increases energy consumption and causes time delay. To address it, an improved data cleaning algorithm has been proposed; its feasibility and effectiveness have been verified via simulation and a comparison with a published algorithm. To illustrate the capacity of the developed architecture and new data cleaning algorithm, their application in relief supplies storage management has been discussed. © 2005-2012 IEEE.


BAODING, China, Nov 23, 2016 /PRNewswire/ -- Yingli Green Energy Holding Company Ltd. today announced that The Clean Production Evaluation Index System for PV Cells (the "System") was recently officially released by the National Development and Reform Commission ("NDRC"), Ministry of Environmental Protection, and the Ministry of Industry and Information Technology ("MIIT"). The System was jointly developed by China National Institute of Standardization ("CNIS"), Yingli, World Wide Fund for Nature ("WWF"), and other leading China's PV companies. The establishment of the System was one of the commitments made by Yingli, as the first Chinese company and the first solar PV manufacturer, when joining the WWF Climate Savers Program in 2013. CNIS, Yingli, WWF and other leading PV companies, in order to promote clean production in China's PV industry, began developing the System in September 2013. Based on the extensive experience in clean production technology and practices at Yingli and other tier one solar PV companies, the participants researched and reviewed current practices, and finalized the System design in June 2016. As the first evaluation system of China's solar PV industry, the System establishes comprehensive evaluation indexes on the production of solar PV cells including the production process, equipment used, energy consumption, comprehensive utilization of resources, pollution emissions, product features, and clean production management. The System is a significant step forward for the promotion of clean production amongst China's solar PV cell manufacturers and will support improved energy conservation, pollution prevention, sustainable development, and lead to a more environmentally friendly Chinese solar PV industry. "Technical standards are one of the most important measures to promote supply-side structural reform, optimize industrial restructuring, and enhance the capability of independent innovation," said, Mr. Wang Bohua, Secretary General of China Photovoltaic Industry Association. "The establishment of the System could help China's solar PV cell manufactures to promote cleaner production, improve energy conservation and reductions in emissions. The System is crucial for the sustainable development of China's solar PV cell production and the construction of an environmentally friendly society." "The official release of this evaluation index system is a very good example to demonstrate how business can drive changes for the solar PV industry to be greener," said Ms. Chen Xin, Co-Acting Director of Climate & Energy Program of WWF China. "As one of the goals of the Climate Savers Program, WWF is committed to promoting more industrial leaders to participate in climate and energy issues to positively influence the markets, industries, and policies through their technical expertise and innovation." "The establishment of the System is essential for the Chinese solar PV industry to transition into a greener economy and be stronger," said Mr. Gao Dongfeng, Director of the Branch of Resource and Environment of CNIS. "We hope that China's solar PV industry could take this opportunity to accelerate technical innovation in order to strengthen itself and lead the advancement of clean production worldwide." "The System has set up a series of world leading indicators for the production of solar PV cells. Once achieved, it can help China's solar PV cell manufacturers reduce their energy consumption by approximately 20%, cut the emissions of nitrogen oxide and chemical oxygen demand both by 14%, which leads to a significant reduction of solar PV panel's energy recovery period from 1.17 year to 1 year or nearly 15%," said Mr. Song Dengyuan, Chief Technology Officer of Yingli. "It will make the solar PV industry greener and promote the concept of clean production throughout the industry." Yingli Green Energy Holding Company Limited (NYSE: YGE), known as "Yingli" or "Yingli Solar", is one of the world's leading solar panel manufacturers. Yingli's manufacturing covers the photovoltaic value chain from ingot casting and wafering through solar cell production and solar panel assembly. Headquartered in Baoding, China, Yingli has more than 30 regional subsidiaries and branch offices and has distributed more than 17GW solar panels to customers worldwide. For more information, please visit www.yinglisolar.com and join the conversation on Facebook, Twitter and Weibo. Climate Savers is a global program that positions companies as leaders of the low-carbon economy. Member companies take on two commitments: To become the best in reducing greenhouse gas emissions; And to influence market or policy developments by promoting their vision, solutions and achievements. Up till 2015, 30 globally well-known corporations have joined the program, such as Yingli, HP, Johnson & Johnson, Volvo Group, Coca-Cola, and Vanke. About Branch of Resource and Environment CNIS The Branch of Resource and Environment of China National Institute of Standardization is committed to the resource and environment standardization researches and the provision of policy research and technical services for energy conservation and emission reduction. Its major tasks involve the standardization concerning energy saving, low carbon, resources recycling, environmental protection industry, water conservation, and renewable energies and so on, leading the drafting of the general formulation principles of assessment indicator system of cleaner production and so on more than 300 national standards; the operation of the secretariats of the national technical committees, Administration Center of China Energy Label, Management office for National Subsidy Program for End-use Products and Management office for R&D Project of 100 Energy Efficiency Standards, the operation of the secretariats of China Alliance of Green Product Promotion and China Alliance of Green Design and Manufacturing Industry Innovation; and the construction and operation of the Engineering Laboratory of AQSIQ for Energy Efficiency and Water Efficiency, taking charge energy efficiency testing of energy-using products and water efficiency testing of water-using products. After 30 years of development, the Branch of Resource and Environment has established itself as a comprehensive resource and environment standardization research and development base incorporating standardization research, testing, management, consulting and services. It has been providing a full range of standardization support and services for the sustainable development of China, and will continue to build a resource-conserving and environment-friendly society, promote the development of circular economy to make a positive contribution in the future. This press release contains forward-looking statements. These statements constitute "forward-looking" statements within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and as defined in the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," "target" and similar statements. Such statements are based upon management's current expectations and current market and operating conditions, and relate to events that involve known or unknown risks, uncertainties and other factors, all of which are difficult to predict and many of which are beyond Yingli Green Energy's control, which may cause Yingli Green Energy's actual results, performance or achievements to differ materially from those in the forward-looking statements. Further information regarding these and other risks, uncertainties or factors is included in Yingli Green Energy's filings with the U.S. Securities and Exchange Commission. Yingli Green Energy does not undertake any obligation to update any forward-looking statement as a result of new information, future events or otherwise, except as required under applicable law. For further information, please contact: To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/yingli-leads-the-development-of-the-first-clean-production-evaluation-system-for-chinas-pv-industry-300367833.html


Gao S.,University of Auckland | Gao S.,China National Institute of Standardization | Lewis G.D.,University of Auckland | Ashokkumar M.,University of Melbourne | And 2 more authors.
Ultrasonics Sonochemistry | Year: 2014

A simple theoretical model based on shear forces generated by the collapse of the ultrasound cavities near the surface of a microorganism is proposed. This model requires two parameters which take into account the number of acoustic cavitation bubbles, and the resistance of the cell wall of the microorganism to the shear forces generated by bubble collapse. To validate the model, high-power low frequency (20 kHz) ultrasound was used to inactivate two microorganisms with very different sizes, viz., a bacterium, Enterobacter aerogenes and a yeast, Aureobasidium pullulans. The inactivation ratio was experimentally measured as a function of sonication time for different ultrasound power and for different initial cell numbers. For both E. aerogenes and A. pullulans the Log of the inactivation ratio decreased linearly with sonication time, and the rate of inactivation increased (D-value decreased) with the increase in sonication power. The rate of inactivation was also found, for both microorganisms, to increase with a decrease in the initial cell number. The fits, obtained using the proposed model, are in very good agreement with the experimental data. © 2013 Elsevier B.V. All rights reserved.


Gao S.,University of Auckland | Gao S.,China National Institute of Standardization | Lewis G.D.,University of Auckland | Ashokkumar M.,University of Melbourne | And 2 more authors.
Ultrasonics Sonochemistry | Year: 2014

The aim of this study was to determine the effects of high-intensity low-frequency (20 kHz) ultrasound treatment on the viability of bacteria suspension. More specifically, we have investigated the relationship between the deactivation efficiency and the physical (size, hydrophobicity) and biological (gram-status, growth phase) properties of the microbes. Enterobacter aerogenes, Bacillus subtilis, Staphylococcus epidermidis, S. epidermidis SK and Staphylococcus pseudintermedius were chosen for this study owing to their varying physical and biological properties. The survival ratio of the bacteria suspension was measured as a function of the ultrasound power (up to 13 W) for a constant sonication time of 20 min. Transmission electron microscopy was used to evaluate the ultrasound-induced damages to the microbes. Ultrasound treatment resulted in lethal damage to E. aerogenes and B. subtilis (up to 4.5-log reduction), whereas Staphylococcus spp. were not affected noticeably. Further, E. aerogenes suspensions were more sensitive to ultrasonication in exponential growth phase than when they were in stationary phase. The results of this study demonstrate that the main reason for bacterial resistance to ultrasonic deactivation is due to the properties of the bacterial capsule. Microbes with a thicker and "soft" capsule are highly resistant to ultrasonic deactivation process. © 2013 Elsevier B.V. All rights reserved.


Wei L.,China National Institute of Standardization | Chen Z.,Northeastern University China | Li J.,CAS Institute of Policy and Management
Information Sciences | Year: 2011

Not only different databases but two classes of data within a database can also have different data structures. SVM and LS-SVM typically minimize the empirical φ-risk; regularized versions subject to fixed penalty (L 2 or L1 penalty) are non-adaptive since their penalty forms are pre-determined. They often perform well only for certain types of situations. For example, LS-SVM with L2 penalty is not preferred if the underlying model is sparse. This paper proposes an adaptive penalty learning procedure called evolution strategies (ES) based adaptive Lp least squares support vector machine (ES-based Lp LS-SVM) to address the above issue. By introducing multiple kernels, a Lp penalty based nonlinear objective function is derived. The iterative re-weighted minimal solver (IRMS) algorithm is used to solve the nonlinear function. Then evolution strategies (ES) is used to solve the multi-parameters optimization problem. Penalty parameterp, kernel and regularized parameters are adaptively selected by the proposed ES-based algorithm in the process of training the data, which makes it easier to achieve the optimal solution. Numerical experiments are conducted on two artificial data sets and six real world data sets. The experiment results show that the proposed procedure offer better generalization performance than the standard SVM, the LS-SVM and other improved algorithms. © 2011 Elsevier Inc. All rights reserved.


Zhang Y.C.,Yangzhou University | Du Z.N.,Yangzhou University | Li K.W.,China National Institute of Standardization | Zhang M.,Yangzhou University | Dionysiou D.D.,University of Cincinnati
ACS Applied Materials and Interfaces | Year: 2011

SnS2/SnO2 nanocomposites with tunable SnO2 contents were prepared via in situ hydrothermal oxidation of SnS2 nanoparticles in 0.375-4.5 mass% H2O2 aqueous solutions at 180 °C for 0-12 h. The structure, composition and optical properties of the as-prepared SnS2/SnO2 nanocomposites were characterized by X-ray diffraction, transmission electron microscopy, high-resolution transmission electron microscopy, Brunauer-Emmett-Teller (BET) surface area analysis, energy-dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, and UV-vis diffuse reflectance spectra. Furthermore, their photocatalytic properties were tested for the degradation of methyl orange in water under visible light (λ > 420 nm) irradiation. It was found that the as-prepared SnS2/SnO2 nanocomposites with suitable SnO2 content not only demonstrated superior photocatalytic activity to both SnS2 nanoparticles and physically mixed SnS 2/SnO2 composite nanoparticles, but also had remarkable photocatalytic stability. The tight attachment of SnO2 nanoparticles to SnS2 nanoparticles, which can facilitate interfacial electron transfer and reduce the self-agglomeration of two components, was considered to play an important role in achieving the high photocatalytic performances exhibited by the as-prepared SnS2/SnO2 nanocomposites. © 2011 American Chemical Society.


Zhang Y.C.,Yangzhou University | Du Z.N.,Yangzhou University | Li K.W.,China National Institute of Standardization | Zhang M.,Yangzhou University
Separation and Purification Technology | Year: 2011

A simple hydrothermal method was developed for the size-controlled synthesis of SnS2 nanoparticles, using common and inexpensive SnCl4·5H2O and thioacetamide as the reactants and 5 vol.% acetic acid aqueous solution as the solvent. The structure, composition and optical property of the obtained products were characterized by X-ray diffraction, transmission electron microscopy, energy dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, Brumauer-Emmett-Teller (BET) surface area analysis and UV-vis diffuse reflectance spectra, and their possible formation mechanism was proposed. Besides, their photocatalytic properties were tested by degrading methyl orange in distilled water (20 mg/l) under visible light (λ > 420 nm) irradiation. It was found that SnS2 nanoparticles synthesized under the appropriate hydrothermal conditions not only exhibited high visible light-driven photocatalytic activity, but also had good photocatalytic stability. © 2011 Elsevier B.V. All rights reserved.


Li J.,CAS Institute of Policy and Management | Wei L.,CAS Institute of Policy and Management | Wei L.,China National Institute of Standardization | Li G.,CAS Institute of Policy and Management | And 2 more authors.
Decision Support Systems | Year: 2011

Credit risk analysis has long attracted a great deal of attention from both academic researchers and practitioners. However, because of the recent financial crisis, this field continues to draw ever increasingly attention. A multiple kernels multi-criteria programming approach based on evolution strategy (ES-MK-MCP) is proposed for credit decision making in this study. We introduce a linear combination of kernel functions to enhance the interpretability of credit classification models, and propose an alternative to optimize the parameters based on the evolution strategy. For illustration purpose, two UCI credit card data sets are used to verify the effectiveness and feasibility of the proposed model. As the experimental results reveal, the proposed ES-MK-MCP model is an efficient tool for credit risk analysis, especially for decision makers to identify the most relevant features. © 2010 Elsevier B.V. All rights reserved.


Zhang N.,CAS Institute of Engineering Thermophysics | Lior N.,University of Pennsylvania | Liu M.,China National Institute of Standardization | Han W.,CAS Institute of Engineering Thermophysics
Energy | Year: 2010

A novel liquefied natural gas (LNG) fueled power plant is proposed, which has virtually zero CO2 and other emissions and a high efficiency. The plant operates as a subcritical CO2 Rankine-like cycle. Beside the power generation, the system provides refrigeration in the CO2 subcritical evaporation process, thus it is a cogeneration system with two valued products. By coupling with the LNG evaporation system as the cycle cold sink, the cycle condensation process can be achieved at a temperature much lower than ambient, and high-pressure liquid CO2 can be withdrawn from the cycle without consuming additional power. Two system variants are analyzed and compared, COOLCEP-S and COOLCEP-C. In the COOLCEP-S cycle configuration, the working fluid in the main turbine expands only to the CO2 condensation pressure; in the COOLCEP-C cycle configuration, the turbine working fluid expands to a much lower pressure (near-ambient) to produce more power. The effects of some key parameters, the turbine inlet temperature and the backpressure, on the systems' performance are investigated. It was found that at the turbine inlet temperature of 900 °C, the energy efficiency of the COOLCEP-S system reaches 59%, which is higher than the 52% of the COOLCEP-C one. The capital investment cost of the economically optimized plant is estimated to be about 750 EUR/kWe and the payback period is about 8-9 years including the construction period, and the cost of electricity is estimated to be 0.031-0.034 EUR/kWh. © 2009 Elsevier Ltd. All rights reserved.


Gao S.,University of Auckland | Gao S.,China National Institute of Standardization | Hemar Y.,University of Auckland | Ashokkumar M.,University of Melbourne | And 2 more authors.
Water Research | Year: 2014

High-frequency (850kHz) ultrasound was used to inactivate bacteria and yeast at different growth phases under controlled temperature conditions. Three species of bacteria, Enterobacter aerogenes, Bacillus subtilis and Staphylococcus epidermidis as well as a yeast, Aureobasidium pullulans were considered. The study shows that high-frequency ultrasound is highly efficient in inactivating the bacteria in both their exponential and stationary growth phases, and inactivation rates of more than 99% were achieved. TEM observation suggests that the mechanism of bacteria inactivation is mainly due to acoustic cavitation generated free radicals and H2O2. The rod-shaped bacterium B. subtilis was also found to be sensitive to the mechanical effects of acoustic cavitation. The study showed that the inactivation process continued even after ultrasonic processing cessed due to the presence of H2O2, generated during acoustic cavitation. Compared to bacteria, the yeast A. pullulans was found to be more resistant to high-frequency ultrasound treatment. © 2014 Elsevier Ltd.

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