bluuebunny/crossref_metadata_2025 huggingface dataset:
Preparation of Polybenzimidazole-Based Membranes and Their Potential Applications in the Fuel Cell System
Authors: Hwang Kyungho , Kim Jun-Hyun , Kim Sung-Yul , Byun Hongsik
Published: March 2014

Various polybenzimidazole (PBI)-based ion-exchange films were prepared and thoroughly characterized by Fourier transform infrared (FT-IR) spectroscopy, proton conductivity, and water uptake for possible use as fuel cell membranes. Upon the increase in the flexibility of the PBI-based polymer films (e.g., poly(oxyphenylene benzimidazole) (OPBI) and sulfonated OPBI (s-OPBI)), the membranes exhibited slightly improved proton conductivity, but significantly increased dimensional changes. To reduce the dimensional changes (i.e., increase the stability), the cross-linking of the polymer films (e.g., cross-linked OPBI (c-OPBI) and sulfonated c-OPBI (sc-OPBI)) was accomplished using phosphoric acid. Interestingly, the sc-OPBI membrane possessed a greatly increased proton conductivity (0.082 S/cm), which is comparable to that of the commercially available Nafion membrane (0.09 S/cm), while still maintaining slightly better properties regarding the dimensional change and water uptake than those of the Nafion membrane.
From Target to Implementation: Perspectives for the International Governance of Forest Landscape Restoration
Authors: Pistorius Till , Freiberg Horst
Published: March 2014

Continuing depletion of forest resources, particularly in tropical developing countries, has turned vast areas of intact ecosystems into urbanized and agricultural lands. The degree of degradation varies, but in most cases, the ecosystem functions and the ability to provide a variety of ecosystem services are severely impaired. In addition to many other challenges, successful forest restoration of these lands requires considerable resources and funding, but the ecological, economic and social benefits have the potential to outweigh the investment. As a consequence, at the international policy level, restoration is seen as a field of land use activities that provides significant contributions to simultaneously achieving different environmental and social policy objectives. Accordingly, different policy processes at the international policy level have made ecological landscape restoration a global priority, in particular the Convention on Biological Diversity with the Aichi Target 15 agreed upon in 2010, which aims at restoring 15% of all degraded land areas by 2020. While such ambitious policy targets are important for recognizing and agreeing upon solutions for environmental problems, they are unlikely to be further substantiated or governed. The objective of this paper is thus to develop a complementary governance approach to the top-down implementation of the Aichi target. Drawing on collaborative and network governance theories, we discuss the potential of a collaborative networked governance approach and perspectives for overcoming the inherent challenges facing a rapid large-scale restoration of degraded lands.
Biomass Equations for Tropical Forest Tree Species in Mozambique
Authors: Mate Rosta , Johansson Tord , Sitoe Almeida
Published: March 2014

Chanfuta (Afzelia quanzensis Welw.), Jambire (Millettia stuhlmannii Taub.) and Umbila (Pterocarpus angolensis D.C.) are, among others, three of the main tropical tree species producing commercial timber in Mozambique. The present study employed destructive biomass estimation methods at three localities in Mozambique (Inhaminga, Mavume, and Tome) to acquire data on the mean diameter at breast height (DBH), and height of trees sampled in 21 stands each of Chanfuta and Jambire, and 15 stands of Umbila. Mean diameter at breast height (DBH) (ob) for Chanfuta, Jambire, and Umbila was: 33.8 ± 12.6 (range 13.5–61.1), 33.4 ± 7.4 (range 21.0–52.2), and 27.0 ± 9.5 (range 14.0–46.5) cm. The mean total values for biomass (kg) of trees of Chanfuta, Jambire, and Umbila trees were 864, 1016, and 321 respectively. The mean percentages of total tree biomass as stem, branch and leaf respectively were 54, 43, and 3 for Chanfuta; 77, 22, and 1 for Jambire; and 46, 51, and 3 for Umbila. The best fit species-specific equation for estimating total above ground biomass (AGB) was the power equation with only DBH considered as independent variable yielding coefficient of determination (R2) ranging from 0.89 to 0.97. At stand level, a total mean of 27.3 tons ha−1 biomass was determined of which studied species represented 94.6%. At plot level, total mean biomass for Jambire was 11.8 tons ha−1, Chanfuta and Umbila 9.9 and 4.1 tons ha−1 respectively. The developed power equation fitted total and stem biomass data well and could be used for biomass prediction of the studied species in Mozambique.
Mobility Tolerant Firework Routing for Improving Reachability in MANETs
Authors: Motoyoshi Gen , Leibnitz Kenji , Murata Masayuki
Published: March 2014

In this paper, we investigate our mobility-assisted and adaptive broadcast routing mechanism, called Mobility Tolerant Firework Routing (MTFR), which utilizes the concept of potentials for routing and improves node reachability, especially in situations with high mobility, by including a broadcast mechanism. We perform detailed evaluations by simulations in a mobile environment and demonstrate the advantages of MTFR over conventional potential-based routing. In particular, we show that MTFR produces better reachability in many aspects at the expense of a small additional transmission delay and intermediate traffic overhead, making MTFR a promising routing protocol and feasible for future mobile Internet infrastructures.
Application of Computational Methods for the Design of BACE-1 Inhibitors: Validation of in Silico Modelling
Authors: Bajda Marek , Jończyk Jakub , Malawska Barbara , Filipek Sławomir
Published: March 2014

β-Secretase (BACE-1) constitutes an important target for search of anti-Alzheimer’s drugs. The first inhibitors of this enzyme were peptidic compounds with high molecular weight and low bioavailability. Therefore, the search for new efficient non-peptidic inhibitors has been undertaken by many scientific groups. We started our work from the development of in silico methodology for the design of novel BACE-1 ligands. It was validated on the basis of crystal structures of complexes with inhibitors, redocking, cross-docking and training/test sets of reference ligands. The presented procedure of assessment of the novel compounds as β-secretase inhibitors could be widely used in the design process.
The Challenge of Ecophysiological Biodiversity for Biotechnological Applications of Marine Microalgae
Authors: Barra Lucia , Chandrasekaran Raghu , Corato Federico , Brunet Christophe
Published: March 2014

In this review, we aim to explore the potential of microalgal biodiversity and ecology for biotechnological use. A deeper exploration of the biodiversity richness and ecophysiological properties of microalgae is crucial for enhancing their use for applicative purposes. After describing the actual biotechnological use of microalgae, we consider the multiple faces of taxonomical, morphological, functional and ecophysiological biodiversity of these organisms, and investigate how these properties could better serve the biotechnological field. Lastly, we propose new approaches to enhancing microalgal growth, photosynthesis, and synthesis of valuable products used in biotechnological fields, mainly focusing on culture conditions, especially light manipulations and genetic modifications.
Synthesis of New 1,2,3-Triazol-4-yl-quinazoline Nucleoside and Acyclonucleoside Analogues
Authors: Ouahrouch Abdelaaziz , Taourirte Moha , Engels Joachim , Benjelloun Soumaya , Lazrek Hassan
Published: March 2014

In this study, we describe the synthesis of 1,4-disustituted-1,2,3-triazolo-quinazoline ribonucleosides or acyclonucleosides by means of 1,3-dipolar cycloaddition between various O or N-alkylated propargyl-quinazoline and 1'-azido-2',3',5'-tri-O-benzoylribose or activated alkylating agents under microwave conditions. None of the compounds selected showed significant anti-HCV activity in vitro.
Correction: Moharam et al., Inhibitory Effects of Phylligenin and Quebrachitol Isolated from Mitrephora vulpina on Platelet Activating Factor Receptor Binding and Platelet Aggregation. Molecules 2010, 15, 7840-7848
Authors: Moharam Bushra , Jantan Ibrahim , Jalil Juriyati , Shaari Khozirah
Published: March 2014

The authors wish to inform readers that there are several minor errors and omissions in the chemical structures shown in Figure 1 of this paper [1]. [...]
Therapeutic Effect of Polysaccharide of Large Yellow Croaker Swim Bladder on Lupus Nephritis of Mice
Authors: Jiang Xianhong , Zhao Xin , Luo Huali , Zhu Kai
Published: March 2014

The therapeutic effect of polysaccharide of large yellow croaker swim bladder (PLYCSB) on lupus nephritis has been studied in vivo. A high concentration (50 mg/kg dose) of PLYCSB reduced the levels of serum inflammatory cytokine levels of IL-6, IL-12, TNF-α and IFN-γ compared to a low concentration (25 mg/kg dose) and control mice. SCr, BUN, TC and TG serum levels of PLYCSB treated mice were lower than those of control mice, and TP and ALB serum levels were higher than control mice. Control mice tested ds-DNA positive at the 6th week, and 50 mg/kg treated mice tested at the 10th week after the experiment began. The output of urine protein of 50 mg/kg PLYCSB treated mice was most closely comparable to the normal mice. The glomerular number of 50 mg/kg PLYCSB treated mice was more than the 25 mg/kg dose and control groups, and the 50 mg/kg dose group showed the lowest glomerular sclerosis index in lupus nephritis mice. By RT-PCR and western blot assay, PLYCSB significantly induced inflammation in kidney tissues of mice by downregulating NF-κB-p65, TGF-β1, Fas, FasL and upregulating IκB-α. These results suggest that PLYCSB showed a potential curative effect on lupus nephritis as a drug or functional food.
The Role of Hypertriglyceridemia in the Development of Atherosclerosis and Endothelial Dysfunction
Authors: Matsumoto Saki , Gotoh Nozomi , Hishinuma Saori , Abe Yohei , Shimizu Yoshimi , Katano Yumi , Ishihata Akira
Published: March 2014

A hereditary postprandial hypertriglyceridemic rabbit (PHT rabbit) is a new dyslipidemic model showing remarkably high plasma triglycerides with only limited elevation of plasma total cholesterol. In PHT rabbits, plasma triglyceride was markedly elevated postprandially compared with healthy Japanese white (JW) rabbits. In physiological experiments, the ring preparation of the thoracic aorta was suspended in an organ bath filled with modified Krebs-Henseleit solution, and the developed tension was recorded. Endothelial function was evaluated by acetylcholine-induced vasorelaxation in each preparation with intact endothelium. The acetylcholine-induced endothelium-dependent relaxation was diminished in PHT compared with JW rabbits, suggesting endothelial dysfunction in PHT rabbits. Histological examination was carried out in adipose tissue, liver and aorta. They were fixed in formaldehyde and embedded in paraffin. The tissues were sliced (4 μm) and stained using hematoxylin-eosin solution. In the adipose tissue, the visceral fat accumulated, and the size of adipose cells was enlarged in PHT rabbits. The liver of the PHT rabbit was fatty and degenerated. In aorta, increased intimal thickness was observed, suggesting the progression of atherosclerosis in the PHT rabbit. This study suggests the important role of postprandial hypertriglyceridemia in atherosclerosis. By using PHT rabbits, the effects of hypertriglyceridemia on health and diseases could be evaluated precisely.
Selenium Fortification of an Italian Rice Cultivar via Foliar Fertilization with Sodium Selenate and Its Effects on Human Serum Selenium Levels and on Erythrocyte Glutathione Peroxidase Activity
Authors: Giacosa Attilio , Faliva Milena , Perna Simone , Minoia Claudio , Ronchi Anna , Rondanelli Mariangela
Published: March 2014

Selenium food fortification could be a cost-effective strategy to counteract the inadequacy of selenium intake among the Italian population. In this study, the effect of foliar fertilization with sodium selenate of an Italian rice cultivar and the increase of serum selenium and of erythrocyte glutathione peroxidase (GPx) activity after intake of fortified rice, have been evaluated. The effect of foliar fertilization with sodium selenate (50 g Se/ha) vs. water was studied. Moreover, in a randomized, double-blind study, 10 healthy women supplemented their usual diet with a daily dose of 80 g of Se-enriched-rice and 10 matched-women with 80 g of regular rice. Before, after 5 and 20 days of supplementation, serum Se and GPx-activity were evaluated. The mean selenium content in Se-enriched-rice was 1.64 ± 0.28 μg/g, while in regular rice it was 0.36 ± 0.15 μg/g (p < 0.001). A significant increase of serum Se and GPx-activity was observed only in the intervention group and only after 20 days. The results show that selenium fortification of rice can be achieved with foliar fertilization with sodium selenate and that the 20 days intake of this Se-enriched-rice increases the serum selenium levels and GPx-activity.
Wetland Planning: Current Problems and Environmental Management Proposals at Supra-Municipal Scale (Spanish Mediterranean Coast)
Authors: Sebastiá-Frasquet María-Teresa , Altur Vicent , Sanchis José-Andrés
Published: March 2014

The policies that define the use and management of wetlands in Spain have undergone tremendous changes in recent decades. During the period of 1950–1980, Land Reform Plans promoted filling and draining of these areas for agricultural use. In 1986, with the incorporation of Spain to the European Union (EU), there was a sudden change of direction in these policies, which, thereafter, pursued restoring and protecting these ecosystems. This change, combined with increasing urban development and infrastructure pressures (e.g., roads, golf courses, etc.), creates a conflict of uses which complicates the management of these ecosystems by local governments. This study analyzes the effectiveness of policies and management tools of important coastal wetlands at the local scale in the Valencian Community (Western Mediterranean Sea) using a strengths-weaknesses-opportunities-threats (SWOT) methodology. A supra-municipal model of environmental planning is proposed to enable consistent management at a regional scale. This model enhances local government’s effectiveness and it can be applied in other areas with similar problems.
Field Study of Infiltration Capacity Reduction of Porous Mixture Surfaces
Authors: Sañudo-Fontaneda Luis , Andrés-Valeri Valerio , Rodriguez-Hernandez Jorge , Castro-Fresno Daniel
Published: March 2014

Porous surfaces have been used all over the world in source control techniques to minimize flooding problems in car parks. Several studies highlighted the reduction in the infiltration capacity of porous mixture surfaces after several years of use. Therefore, it is necessary to design and develop a new methodology to quantify this reduction and to identify the hypothetical differences in permeability between zones within the same car park bay due to the influence of static loads in the parked vehicles. With this aim, nine different zones were selected in order to check this hypothesis (four points under the wheels of a standard vehicle and five points between wheels). This article presents the infiltration capacity reduction results, using the LCS permeameter, of Polymer-Modified Porous Concrete (9 bays) and Porous Asphalt (9 bays) surfaces in the University of Cantabria Campus parking area (Spain) 5 years after their construction. Statistical analysis methodology was proposed for assessing the results. Significant differences were observed in permeability and reduction in infiltration capacity in the case of porous concrete surfaces, while no differences were found for porous asphalt depending on the measurement zone.
Understanding Subjectivities in the Regulation of Local Water Services: A Q-Methodology Study of Elected Public Officers in Italy
Authors: Asquer Alberto
Published: March 2014

In sub-national governments, elected public officers can exercise considerable influence on the regulation of local water services, in such ways as, for example, contributing to the design of local regulatory institutions, to the formulation of tariff rules, and to the supervision of water firms. Relatively little we know, however, about how elected public officers think about the regulation of local water services. This Q methodology study provides some evidence of the variety of opinions held on how local water services are delivered, how well they perform, and how they should be regulated among elected public officers in local governments in Italy. The study shows that the policy discourse on water regulation in Italy is highly fragmented into alternative and partially conflicting views. These findings bear some relevance for better understanding sources of stability and change of water regulatory regimes at the local level.
The central role of extracellular vesicles in the mechanisms of thrombosis in paroxysmal nocturnal haemoglobinuria: a review
Authors: Devalet Bérangère , Mullier François , Chatelain Bernard , Dogné Jean‐Michel , Chatelain Christian
Published: March 2014

Paroxysmal nocturnal haemoglobinuria (PNH) is an acquired disorder of the haematopoietic stem cell that makes blood cells more sensitive to the action of complement. PNH patients experience an increased risk of arterial and venous thrombosis – major causes of death due to this disease. Though many potential interlaced mechanisms are suspected, extracellular vesicles (EVs) of various origins may play a central role. The processes possibly involved are haemolysis, platelet activation, injured endothelial cells and monocyte activation. The impact of transfusion should be evaluated. A better understanding of the mechanisms involved may help to propose guidelines for the prophylaxis and treatment of thrombosis in PNH. In this paper, we propose an updated review of the pathophysiology of the underlying mechanisms of thrombosis associated with PNH, with specific focus on the prominent role of EVs.
A catechol biosensor based on electrospun carbon nanofibers
Authors: Li Dawei , Pang Zengyuan , Chen Xiaodong , Luo Lei , Cai Yibing , Wei Qufu
Published: March 2014

Carbon nanofibers (CNFs) were prepared by combining electrospinning with a high-temperature carbonization technique. And a polyphenol biosensor was fabricated by blending the obtained CNFs with laccase and Nafion. Raman spectroscopy, Fourier transform infrared spectroscopy (FTIR) and field emission scanning electron microscope (FE-SEM) were, respectively, employed to investigate the structures and morphologies of the CNFs and of the mixtures. Cyclic voltammetry and chronoamperometry were employed to study the electrocatalysis of the catechol biosensor. The results indicated that the sensitivity of the biosensor was 41 µA·mM−1, the detection limit was 0.63 µM, the linear range was 1–1310 µM and the response time was within 2 seconds, which excelled most other laccase-based biosensor reported. Furthermore, the biosensor showed good repeatability, reproducibility, stability and tolerance to interferences. This novel biosensor also demonstrated its promising application in detecting catechol in real water samples.
Características relevantes de la simulación energética de viviendas unifamiliares
Authors: García-Alvarado R. , González A. , Bustamante W. , Bobadilla A. , Muñoz C.
Published: March 2014

Los sistemas de simulación energética de edificios permiten analizar la calidad y demanda ambiental de las construcciones, pero deben contar con procedimientos fiables y pertinentes. Este artículo identifica condiciones relevantes de la simulación energética de viviendas unifamiliares, basado en el análisis de una docena de programas y distintas experiencias en el centro sur de Chile. Desarrollando una revisión de capacidades de los sistemas, a través de la simulación de una misma vivienda y entrevistas a usuarios expertos. Además de estudiar incidencias de los antecedentes y distintas estrategias de análisis para el mejoramiento ambiental de viviendas. Revelando características significativas para el estudio energético de construcciones habitacionales aisladas. Finalmente sugiere revisar ciertas condiciones de los sistemas para asegurar la efectividad de los análisis ambientales y de las acciones subsecuentes.
Assessing Smart-Home Platforms for Ambient Assisted Living (AAL)
Authors: Brink Michiel , Alonso Ignacio González , van Bronswijk Johanna E.M.H.
Published: March 2014

Smart-home platforms support applications, services, and devices for Ambient Assisted Living (AAL). The developers of those platforms commonly focus on technological requirements only, without having a clear understanding of end-users such as older adults living independently. Moreover, since there are no functional testing methods for AAL platforms, the authors introduce a testing methodology for smart-home platforms and use it to test two platforms for their suitability: the universAAL platform that is based on an ontology model, and the ‘Universal Plug and Play' (UPnP) platform in combination with ‘Digital Home Compliant' (DHC) framework (first version), both using fixed terminology and descriptions. The authors first developed a comprehensive overview the support older people may need from a smart home. The authors then developed scenarios that cover many of those needs and used the scenarios as test cases in functional tests in a simulation environment. The results show that 4/5 of the smart-home applications in the AAL scenarios will not work without a platform extension. This demonstrates the importance of these extensions. Therefore, the use of an ontology model for platforms is advisable because of its quick and easy adaption to new devices and services, needed for the worldwide rollout of smart-homes for AAL.
University Students and Technologies
Authors: Cavalli Nicola , Ferri Paolo , Mainardi Arianna , Mangiatordi Andrea , Micheli Marina , Pieri Michelle , Pozzali Andrea , Scenini Francesca
Published: March 2014

This paper presents and discusses data on the use of technology in general and of Web 2.0 platforms and services in particular by students at the University of Milano-Bicocca. The data was obtained from a survey on media consumption habits and usage of new web technologies conducted by the university's Observatory on New Media, NuMediaBiOs. Research of this kind provides a valuable basis for the development, adaptation and improvement of existing services and offerings involving new technologies in educational contexts, given that for new technologies to be successfully integrated it is critical to have access to detailed information about how they are currently deployed by users (in this case, undergraduate students on basic degree programmes). Such analyses have implications for a range of contexts, not least for the public educational institution in which they are carried out, namely the university.
Application of Fiber Bragg Grating Device in Icing Monitoring System of Transmission Lines
Authors: Liu Feng Lian , Guo Li Rui , Deng Yuan Shi , Wu Chi , Li Jiang Ling , Yang Xiao Dong , Wu Tian Bao , Chen Hong Bo , Yang Lin
Published: March 2014

Ice accretion has been a huge threat for the stable operation of transmission line. Icing monitoring devices used presently are active sensors with low working stability. Signals are transmitted in the electrical form, which are easily affected by the electromagnetic interference. In this paper, an online icing monitoring device of transmission line based on fiber bragg grating (FBG) sensor is designed, and is operated as a pilot unit on the 44# tower of 110kV Zhenzou line. Experimental results show that the online icing monitoring device operates stably, and the designed fiber bragg grating sensor has high linearity, good sensitivity and high accuracy.
Dynamics Analysis of Vehicle Rollover Test Based on SAE J2114
Authors: Zhu Hai Tao , Yang Jia Lin
Published: March 2014

SAE J2114 test method has simulated the recurrence of passenger vehicle rollover form in the traffic accident, mainly including the rollover stage and tumbling stage. In this paper, the whole rolling process of passenger vehicle are analyzed in mechanical model by the testing method, such as the critical condition of rolling ; the condition affecting the vehicle back weeks on the air parabolic motion stage; the condition affecting rolling strength on the landing stage. Furthermore, the article has used MATLAB tools to analyze the relationship of four factors ,which are the critical speed, wheel base, center of gravity height and radius of the rolling ,and the results will help us better understand the collision shape, providing theoretical basis for accident reappearance.
The Develop of Intelligent Electronic Device Platform for Transformer Multi-Condition Monitoring
Authors: Wang Hong Jie , Bi Jian Gang , Yang Yuan , Yang Ning
Published: March 2014

The intelligent electronic device used for transformer multi condition monitoring platform was designed based on IEC61850 communication protocol. Based on the analysis of condition monitoring parameter, the overall program and module function were elaborated, the function and design method of signal conditioning module, data acquisition and transformer system, threshold setting were discussed in detail. The intelligent electronic device platform can realize comprehensive monitoring of multi state parameters of transformers. The monitored data will be uploaded automatically in case of the monitoring parameters overrunning. The platform is of a high degree of intelligence, good reliability, flexibility, versatility, and scalability.
Research and Application on Fault Diagnosis for Steam Turbine Using Multi-Parameter Fusion
Authors: Deng Xiao Wen , Zhou Zhen Yu , Song Lei , Li Peng , Gu Yu Jiong
Published: March 2014

For the running situation of supercritical and ultra-supercritical steam turbine unit, a fault diagnosis method of steam turbine based on multiple parameters fusion is proposed. The association of the fault mode with the vibration parameters, the thermodynamic parameters and the operational parameters is built, according to fault development mechanism, equipment operation data and professional experience. The overall state evaluation of mechanical equipment is given, the reliability of fault diagnosis is improved, and the need of the steam turbine fault diagnosis is met, by means of comprehensive evaluation of multiple parameters. Example applications verify this method.
Design and Implementation of Automated Warehouse Monitoring System Based on the Internet of Things
Authors: Yao Zhi Qiang , Zhu Heng Jun , Du Wen He
Published: March 2014

Aiming at the lagging for the monitoring of warehouse and lacking the intelligence, an automated warehouse monitoring system is designed using the internet of things, which may be used to monitor the temperature, humidity, and case of fire in the warehouse simultaneously. The temperature and humidity sensor SHT10 is implemented as the detector of the temperature and humidity, the flame sensor R2868 and the ionic smoke transducer HIS-07 are implemented as the detector of smoke and flame to find the fire. These data are sent to the computer in the manager center through Zigbee technology and the computer will process and analyze them. When the fire occurs, this system can extinguish the fire and call the manager or 119 automatically. The experiments have been performed, and it is shown that the performance of system is reliable, which has the practical value.
Improvement of Mine Hoisting Equipment Upgrade
Authors: Wang Mei
Published: March 2014

The coal mine hoisting equipment is one of the most important equipmentin coal mine, largely determine the total production capacity of the mine. Compared with the international advanced level, there is a considerable gap between the many coal mine enterprises, especially the plate chain bucket elevator is more big gap.On the upgrading of equipment for technological transformation, improve reliability,economic operation, reduce the accident rate, are of great significance to the oldmine.
Necessity Analysis of Filthy Improved Monitoring Methods
Authors: Liu Guo Bin , Wang Qing Hao , Pang Yan Jun , Zhu Yuan Da , Yi Yong Fei , Liu Chuan Bo , Wu Shao Yong , Wang En Lu , Zhu Bo
Published: March 2014

Contamination Monitoring is an important means of preventing pollution flashover of electrical equipment, the monitoring data can make the insulator design more economical, leading to a both win in economic and operational safety. The existing monitoring tools are based mainly on ESDD, the measurement data is affected by many factors, limited guidance. This paper will analyze several of factors which have impact on ESDD, and also propose additional measures and many forward-looking recommendations to face the reality, so that we can carry out anti-pollution work better.
Research Progress for Determination of the Antioxidant Content in Transformer Oil
Authors: Liu Chen Yao , Wang Na Na , Huang Yun Guang , Yu Wei Wei , Zhu Li Ping , Luo Zong Chang , Zhu Zhi Ping
Published: March 2014

Under the actions of dissolved oxygen, temperature, electric field, electric arc, moisture, impurities and metal catalysts, transformer oil in operation will undergo oxidation and cracking, which may result in production of large quantities of peroxides, alcohols, aldehydes, ketones and acids. To improve the oxidation stability of oil, the antioxidants should be added into the transformer oil before operation. This paper mainly introduced the oxidation process of transformer oil, the harm of transformer oil oxidation and the method for the determination of the T501 antioxidants content in transformer oil. It also forecast the development trend of the electrochemical test in the determination of T501 antioxidants content.
Research on the Surface Acoustic Wave Temperature Sensor
Authors: Zhang Kun , Wang Wen Di , Qiu Zhao Mei
Published: March 2014

This paper puts forward an idea of designing a surface acoustic wave (SAW) sensor to provide a research basis for subsequent researchers. We have made a SAW temperature sensor based on this idea. The experimental results demonstrated the feasibility of the idea, and shown that the frequency-temperature characteristic of the sensing unit is good and the temperature measurement accuracy of the testing unit is high.
Trajectory Planning for Spray Painting Robot of Free-Form Surfaces
Authors: Tang Yang , Yang Wei Guo , Chen Wei
Published: March 2014

Trajectory optimization of spray painting robot for surfaces is studied. Because the current paint deposition rate function is too complicated, the paint deposition rate function on a plane according to the experiment data is provided. The paint thickness function for free-form surfaces is also given. A multi-objective constraint optimization problem is formulated. An optimal tool trajectory with an optimal time and film quantity deviation is generated.Experiments are performed to verify the generated trajectory. The results show that the developed optimal tool planning algorithm could be applied to generate optimal tool trajectories.
Research and Analysis of the Matching Calculation of Subcompact Cooling System
Authors: Hu Yuan Zhong , Liu Chuan Bo
Published: March 2014

In order to study the cooling performance of cooling system of some subcompact, this article used GT-SUITE to build a one-dimensional model for it. Then the main factors for cooling performance were analyzed by the model, and some improvement measures were put forward after finding problems in the cooling system. The experiment data shows that the cooling performance has been significantly improved. At the same time, this research gives important technical parameters for the design and matching analysis of cooling system.
Mathematical Modelling for Wheeled Inverted Pendulum
Authors: Liu Xuan , Shi Xiang , Xu Zhe , Tian Ka
Published: March 2014

To control wheeled inverted pendulum is a good way to test all kinds of theories of control, On the basis of Newtonian mechanics and dynamic characteristics, the dynamical equation of DC motor, cart and pendulum is studied. Then the approximate linear model of wheeled inverted pendulum is concluded, which is based on the way of linearization of small Angle.
Research on Constant Temperature Control System for Hot Water
Authors: Qi Feng Lian , Yu Wen Qiu , Yan Yong Xu
Published: March 2014

In view of the present that this defect of water heater shower valve of the water temperature does not direct the user to the water temperature and can't maintain a constant outlet water temperature for long time, innovating a new type of water temperature control device. The adjusting device used the system of single chip microcomputer STC89C52 as the core, real-time water temperature and hot and cold water temperature were collected by digital temperature sensor DS18B20, adjusted with PID control method, drive motor drive the angle of opening and closing of the blade in mechanism device, to change the water volume of the hot and cold water. the purpose of keeping water temperature gain on the users required temperature and keeping constant temperature, through data experiment shows that the adjustment system structure is simple, running accurate effective and adjusting the steady and fast.
Orbit Plan Method for General Rendezvous Problems
Authors: Song Xu Min , Chen Yong , Lin Qi
Published: March 2014

The orbit plan method of rendezvous mission was studied in this paper. We are concerned with the general rendezvous problem between two satellites which may be in non-coplanar, eccentric orbits, considering orbit perturbation and rendezvous time limitation. The planning problem was modeled as a nonlinear optimization problem, and the adaptive simulated annealing method was used to get the global solution. The Lambert algorithm was used to compute the transfer orbit, so that the endpoint constraint of rendezvous was eliminated. A shooting technique was used to solve the perturbed lambert problem. The method was validated by simulation results.
Global Stabilization of Nonlinear Control Systems
Authors: Wang Yun Xia
Published: March 2014

This article discusses the global stabilization problem of nonlinear systems, based on the Lyapunov method. First discussed the situation of a class of two order nonlinear stabilization, sufficient conditions for global stabilization of the system. Secondly, we study the global stabilization of a class of three order nonlinear, got a new conclusion stabilization of the global system, and design a feedback control law of the system stabilization, at the end of this article of the global nonlinear system of general types of stabilization problem, we obtain sufficient conditions for stabilization of the system, and design the feedback control law is the system stabilization.
Online Direction Classification and Recognition Using an Intuitive Tactile Communication
Authors: Wu Hao Ying , Fan Kai
Published: March 2014

This paper proposed an online direction classifying method for constructing an intuitive tactile communication during human-robot cooperation. The proposed approach abstracts a suitable feature set from a tactile array sensor equipped on a hand-bar. This lower computation feature extraction method analyze the weighting values concerned with oriental information from principle component analysis (PCA), together with support vector machines (SVM) classifier for direction classification and recognition. Experimental results showed an average accuracy of 96.3% and a low costs of 512μs with respect to different handle gestures of the 6 touch directions, which is practicable utilized for human-robot cooperation based on tactile recognition.
Application of Photovoltaic Radar Target Simulator Using Neural Networks
Authors: Cao Jian , Yan Cong , Li Yan Bao
Published: March 2014

This paper discusses photovoltaic radar target simulator using NN, which provides a virtual simulation test environment for photovoltaic radar. A description of the controller architecture and associated stability analysis is given, followed by a more in-depth look at its application to a tiltrotor aircraft. Finally, it is proved that the control process of the photovoltaic simulator has superior performance and expected effect.
A Study of Single-Objective Particle Swarm Optimization and Multi-Objective Particle Swarm Optimization
Authors: Song Ming Li
Published: March 2014

The complexity of optimization problems encountered in various modeling algorithms makes a selection of a proper optimization vehicle crucial. Developments in particle swarm algorithm since its origin along with its benefits and drawbacks are mainly discussed as particle swarm optimization provides a simple realization mechanism and high convergence speed. We discuss several developments for single-objective case problem and multi-objective case problem.
A Novel Collaborative Optimization Algorithm for Solving TSP
Authors: Zhou Di
Published: March 2014

For the premature convergence and initial pheromone distribution problem of the basic ACO algorithm, PSO algorithm and chaos optimizing strategy are introduced into the ant colony algorithm in order to propose a novel collaborative optimization (CPACO) algorithm based on the collaboration theory. The first, the CPACO algorithm divides the ant colony into several subgroups, and the parameters of the subgroup are regarded as the particles. Then these advantages of PSO algorithm and chaos optimization strategy are fully utilized to optimize these parameters of the ACO algorithm in order to obtain the optimal values of these parameters. And the pheromone exchange operation is introduced into the subgroup. In order to validate the performance of the CPACO algorithm, the TSP problems are selected in here. The simulation results show that the proposed CPACO algorithm has better optimization performance than the traditional ACO algorithm.
The Cuckoo Search Algorithm Based on Dynamic Grouping to Adjust Flight Scale
Authors: Xue Yi Ge , Deng Hui Wen
Published: March 2014

The cuckoo search (CS) algorithm is a very efficient swarm optimization algorithm. Based on CS, a cuckoo search algorithm based on dynamic grouping to adjust flight scale (DGCS) is proposed: All cuckoos are divided into three groups according to the fitness of the individual and the average fitness of the population, then different flight scale is adopted dynamically for each group. Simulation experiments show that the DGCS can quickly converge to the global optimum solution, and has better optimization performance.
Coexistent of Solutions in Non-Linear Systems with Impacts
Authors: Feng Jin Qian , Rong Yue Tang , Liu Jun Li
Published: March 2014

This paper proposes a corrected shooting method for a general non-linear system with impacts. We define the global Poincaré mapping for period orbits by the discontinuous mapping. It is suitable to construct the strategy of shooting method. As an illustrated example, we investigate the stability of period orbits in a Duffing system with impacts. In Addition, coexistence of attractors and bifurcations for period orbits are considered.
A Novel Hybrid Algorithm for Equalization of WBAN Channel
Authors: Xie Yong Gang , Shen Dong Ya
Published: March 2014

Equalization technology is important in WBAN channels for resolving ISI problem. However, traditional algorithms, such as LMS and RBF are not suitable to be applied in WBAN channel, due to the fact that channels of WBAN are particularly time variable and have severe multipath effect. In this study, we proposed a novel hybrid algorithm by combining NFN and RBFN algorithms. Experimental results show better performance compared to both NFN and RBFN algorithms in prediction problem in WBAN Channels.
Modification of Spalart-Allmaras Turbulence Model for Predicting S825 Airfoil Aerodynamic Performance
Authors: Yan Hao , Liu Yang Wei , Fang Le , Lu Li Peng
Published: March 2014

In this paper, a 2-D numerical simulation of the wind turbine S825 airfoil is conducted with Spalart-Allmaras (SA) turbulence model at different attack angles. By comparing with experimental data, a novel method of modifying SA model is proposed. The key parameter in SA turbulence model is set with different values in the non-separating region and separating region divided by separating point respectively. This method improves the predictive accuracy of SA turbulence model when the airfoil works at stall conditions.
The Research on Tibetan Text Classification Based on N-Gram Model
Authors: Zhou Deng , He Wen Huang , Wu Tao Tao
Published: March 2014

This Compared with the traditional text classification model, the Tibetan text classification based on N-Gram model has adopted N-Gram model in terms of the level of word. In other words, during the text classification, word segmentation is not required. Also, feature selection and abundant pre-treatment processes are avoided. This paper not only carried out profound research on N-Gram models, but also discusses the selection of parameter N in the model by adopting Naïve Bayes Multinomial classifier.
The Improved Fuzzy Analytic Hierarchy Process
Authors: Zhang Qiang , Lu Dong Lin , Wang Xiao Long , Chen Yu Long , Dong Jing Wei
Published: March 2014

In FAHP, discontinuous scale, such as 0.1-0.9 scale, is usually used to get fuzzy judgment matrix. But when evaluating system is complex or index systems are too many, we may get stuck in a comparison dilemma by using 0.1-0.9 scale, resulting in a fuzzy judgment matrix of poor consistency. This paper improved 0.1-0.9 scale and established 0-1 continuous scale. We first apply 0-1 three scales to get a comparison matrix, and then converted it into a fuzzy judgment matrix according to 0-1 continuous scale.
Reliability Simulation and Forecast Based on Virtual Prototype for the Running System of Complicated Equipments
Authors: Cao Li Jun , Hu Hui Bin , Yu Gui Bo , Wang Shu Hai
Published: March 2014

The running system is the key part to finish training or battle tasks of complicated equipments. But formidable working conditions influence the measurement of load spectrums and it is difficult to analyze and forecast the reliability of running system. Actual vehicle experiments and virtual prototype are firstly combined to obtain complete load spectrum of running system. According to the materials S-N curve, stress and strain spectrums can be computed. Nominal stress method and local stress and strain method are combined with probability density accumulation damage theory to compute the probability density distribution function. Then, the reliability of running system can be forecasted, which provide adequate reference for the maintenance cycle confirmation and mission reliability prediction.
The Effects of Pressure and Humidity Variations on Pressure Drop of the Draw Resistance Standard Rod
Authors: Miao Qian , Cheng Jing , Zhao Hang , Yang Rong Chao , Su Zhong Di
Published: March 2014

Two factors have been selected to investigate the effects of environmental condition variations on pressure drop of draw resistance standard rods and a series of numerical simulations have been carried out. The results indicate that the pressure drop of draw resistance standard rod significantly increase with the rise of the ambient pressure but slightly decrease with the augment of environmental humidity. To compare with the effect of the pressure, the influence of humidity on the pressure drop is rather weak, which could be neglected during the actual measurement.
Knowledge Acquisition of Interval Set-Valued Based on Granular Computing
Authors: Guan Qing , Guan Jian He
Published: March 2014

The technique of a new extension of fuzzy rough theory using partition of interval set-valued is proposed for granular computing during knowledge discovery in this paper. The natural intervals of attribute values in decision system to be transformed into multiple sub-interval of [0,1]are given by normalization. And some characteristics of interval set-valued of decision systems in fuzzy rough set theory are discussed. The correctness and effectiveness of the approach are shown in experiments. The approach presented in this paper can also be used as a data preprocessing step for other symbolic knowledge discovery or machine learning methods other than rough set theory.
Application of Data Mining Technology Based on Apriori Algorithm
Authors: Chen Jian Xing
Published: March 2014

With the continuous expansion of computer simulation scale, the demand for data mining algorithm is also more and more big. The difficulties in computer data mining technology are focused on algorithm development. Apriori algorithm is a kind of computer data mining algorithm which can greatly improve the computational efficiency. The algorithm uses association rule, which can avoid repeated frequently by layer scanning, reducing the computer time. This paper uses Apriori algorithm to design the data mining parameter optimization model of computer 3D human biology simulation, and applies to improve the step three jump. Through the simulation we found step distance appropriate, it provides technical reference for the application of computer simulation technology in sports.
A 2DPCA Based Semi-Supervised Learning and its Application on Face Recognition
Authors: Zeng Hao Ge , Zhan Li Zhu , Yang Xi Yang
Published: March 2014

A Mahalanobis distance based semi-supervised fuzzy clustering model is presented in this paper, whose objective function has a good explanation on how the labeled and unlabeled data are used in finding the underlying structure of matrix data. The iterative algorithm to solve this model is given. This algorithm can directly deal with matrix data like face images. We use 2DPCA on both row and column directions to reduce the dimension of image faces. The experimental result shows that using 2DPCA and semi-supervised algorithms can have a fairly good recognition rate if enough labeled data are given.
Facial Expression Recognition Based on MATLAB
Authors: Wang Ju , Ding Rui , Hong Mei
Published: March 2014

In today's social life, communication between people is essential to do anything important way. The facial expressions are rich in human behavior information, it is very important means of communication, as a carrier of information, expression can convey a lot of voice can not convey the information. Expression recognition field of pattern recognition is a new task, is an essential part of intelligent machines. This paper studies the discrete wavelet transform feature extraction and expression using MATLAB software image feature extraction and treatment with an elastic template matching algorithm to do the appropriate test expression recognition.
Images Retrieval Based on Integrated Features
Authors: Su Ching Hung , Chiu Huang Sen , Wahab Mohd Helmy A. , Hsiehb Tsai Ming , Li You Chiuan , Lin Jhao Hong
Published: March 2014

We propose a practical image retrieval scheme to retrieve images efficiently. The proposed scheme transfers each image to a color sequence using straightforward 8 rules. Subsequently, using the color sequences to compare the images, namely color sequences comparison. We succeed in transferring the image retrieval problem to sequences comparison and subsequently using the color sequences comparison along with the texture feature of Edge Histogram Descriptor to compare the images of database. We succeed in transferring the image retrieval problem to quantized code comparison. Thus the computational complexity is decreased obviously. Our results illustrate it has virtues both of the content based image retrieval system and a text based image retrieval system.