bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Studies on Polyphenolic Composition, Antioxidant and Antimicrobial Activities of Schisandra chinensis Leaves and Fruits
Authors: Mocan Andrei , Crișan Gianina , Vlase Laurian , Crișan Ovidiu , Vodnar Dan , Raita Oana , Gheldiu Ana-Maria , Toiu Anca , Oprean Radu , Tilea Ioan
Published: September 2014

The aim of this paper was to evaluate the antioxidant and antimicrobial activities and the polyphenolic content of Schisandra chinensis (Turcz.) Baill. leaves and fruits. The leaves are an important source of flavonoids (35.10 ± 1.23 mg RE/g plant material). Qualitative and quantitative analyses of the polyphenolic compounds were achieved using a HPLC-UV-MS method. The main flavonoid from the leaves was isoquercitrin (2486.18 ± 5.72 μg/g plant material), followed by quercitrin (1645.14 ± 2.12 μg/g plant material). Regarding the fruit composition, the dominant compound there was rutin (13.02 ± 0.21 μg/g plant material), but comparing with the leaves, fruits can be considered a poor source of phenolic compounds. The antioxidant activity was evaluated by DPPH, TEAC, hemoglobin ascorbate peroxidase activity inhibition (HAPX), inhibition of lipid peroxidation catalyzed by cytochrome c and EPR spectroscopic assays, revealing a better antioxidant activity for the S. chinensis leaves extract. In the antimicrobial assay, S. chinensis leaves extract showed efficient activities against the targeted bacteria, being more active than the fruits extract. The results suggest the leaves of S. chinensis as a valuable source of antioxidant compounds with significant antioxidant activity.
BOOK ‘MOVING TOWARDS LOW CARBON MOBILITY’ REVIEW
Authors: Bruun Eric
Published: September 2014

"Book ‘Moving towards low carbon mobility’ review" Transport, 29(3), pp. 342-344
A BI-LEVEL FRAMEWORK FOR PRICING OF HIGH-OCCUPANCY TOLL LANES
Authors: Jang Kitae , Song Myoung Kyun , Choi Keechoo , Kim Dong-Kyu
Published: September 2014

As a freeway operational management strategy, High-Occupancy Toll (HOT) lanes have been deployed to manage the demand for High-Occupancy Vehicle (HOV) lanes by adjusting the tolls. By doing so, the capacity of freeways with such lanes can be used more efficiently. Periodically, setting the right amount of toll in accordance with the time-varying demand is a key to successful operation of HOT lanes; however, this is often difficult because travellers have heterogeneous willingness to pay for the toll and traffic conditions vary as the demand changes due to the imposition of tolls. This paper proposed an algorithm to determine the optimal level of toll for minimizing the total delay collectively spent by both HOVs and low-occupancy vehicles. Based on real-world traffic and survey data obtained from Gyungbu expressway in South Korea, a case study is presented to verify the applicability of the developed algorithm. The results from the case study show that the proactive dynamic pricing scheme can use the underutilized capacity of HOT lane efficiently and, thereby, shorten total travel time by 22% and generate revenue of more than $8600. Some limitations and future research agendas are also discussed.
Assessing Risk for Imminent Suicide
Authors: Galynker Igor , Yaseen Zimri , Briggs Jessica
Published: September 2014

Most suicide victims see a health professional shortly before their death; yet, at present, clinicians have no tools for identifying those at acute risk. Clinical instruments valuable in predicting suicide over a 10-year period were not effective in predicting completed suicides within a period of 6 months. In fact, the difference between chronic and imminent suicide risk has only recently been articulated in the literature. A promising approach is to assess suicide risk along multiple dimensions. In this article, we review an evaluation model that consists of four domains: 1) long-term suicide risk, 2) implicit acceptance of suicide as a solution to problems, 3) acuity of the suicidal state, and 4) clinicians’ emotional response (ie, countertransference) to the acutely suicidal patient. The first domain has already been integrated into clinical practice. The review focuses on the next three dimensions and suggests ways to utilize them in clinical practice.

[
Psychiatr Ann
. 2014; 44(9):431–436.]
Impacto energético y emisiones de CO2 del edificio con soluciones alternativas de fachada
Authors: Villar-Burke R. , Jiménez-González D. , Larrumbide E. , Tenorio J. A.
Published: September 2014

El artículo emplea una simplificación de la metodología del análisis de ciclo de vida (ACV) para explorar en fase de proyecto el potencial de reducción de impactos, en términos de energía primaria y emisiones de gases de efecto invernadero, para diferentes soluciones de fachada y estrategias de durabilidad. Se evalúan a nivel de edificio varias alternativas de diseño de una fachada tipo (configuración del muro, aislamiento, frecuencia de reposición y durabilidad) y se analiza su repercusión en los impactos seleccionados para las etapas de producción y uso del edificio.

Se concluye la importancia de la energía y emisiones incorporadas a los materiales y procesos de construcción en los impactos totales, siendo las emisiones en esas fases comparables a las de la fase de uso. Se concluye la posibilidad de reducir significativamente los impactos mediante una selección cuidadosa de los criterios de diseño y estrategias apropiadas de durabilidad, mantenimiento y rehabilitación.
Distributed and Adaptive Business Process Execution
Authors: Pantazoglou Michael , Athanasopoulos George , Tsalgatidou Aphrodite , Kouki Pigi
Published: September 2014

Centralized business process execution engines are not adequate to guarantee smooth process execution in the presence of multiple, concurrent, long-running process instances exchanging voluminous data. In the centralized architecture of most BPEL engine solutions, the execution of BPEL processes is performed in a closed runtime environment where process instances are isolated from each other, as well as from any other potential sources of information. This prevents processes from finding relative data at runtime to adapt their behavior in a dynamic manner. The goal of this chapter is to present a solution for the performance improvement of BPEL engines by using a distributed architecture that enables the scalable execution of service-oriented processes, while also supporting their data-driven adaptation. The authors propose a decentralized BPEL engine architecture using a hypercube peer-to-peer topology with data-driven adaptation capabilities that incorporates Artificial Intelligence (AI) planning and context-aware computing techniques to support the discovery of process execution paths at deployment time and improve the overall throughput of the execution infrastructure. The proposed solution is part of the runtime infrastructure that was developed for the environmental science industry to support the efficient execution and monitoring of service-oriented environmental science models.
Extending Business Processes with Mobile Task Support
Authors: Pryss Rüdiger , Musiol Steffen , Reichert Manfred
Published: September 2014

Process management technology constitutes a fundamental component of any service-driven computing environment. Process management facilitates both the composition of services at design-time and their orchestration at runtime. In particular, when applying the service paradigm to enterprise integration, high flexibility is required. In this context, atomic as well as composite services representing the business functions should be quickly adaptable to cope with dynamic business changes. Furthermore, they should enable mobile and quick access to enterprise information. The growing maturity of smart mobile devices has fostered their prevalence in knowledge-intensive areas in the enterprise as well. As a consequence, process management technology needs to be extended with mobile task support. However, process tasks, hitherto executed in a stationary manner, cannot be simply transferred to run on smart mobile devices. Many research groups focus on the partitioning of processes and the distributed execution of the resulting fragments on smart mobile devices. Opposed to this fragmentation concept, this chapter proposes an approach to enable the robust and flexible execution of single process tasks on smart mobile devices by provisioning self-healing techniques to address the smooth integration of mobile tasks with business processes.
Engineering Spatial Services
Authors: Serugendo Giovanna Di Marzo , Fernandez-Marquez Jose Luis , De Angelis Francesco Luca
Published: September 2014

A new category of services based on data propagation among mobile devices is evolving. Traditionally, distributed applications are engineered on top of a mobile infrastructure in an ad hoc manner that does not conform to standard software engineering practices, such as modularization and reuse. Furthermore, current service-oriented approaches are not suited to this new generation of services that are dispersed on diffused Clouds, are subjected to dynamicity in the underlying mobile and computing infrastructures, and are required to handle time-related and space-related data. This chapter describes the notion of Spatial Services and delineates the design of these services and applications using self-organizing services that implement the active tuple space model inspired by chemical reactions. It explores the spontaneous self-composition of services, self-management of non-functional aspects, and separation of concerns to guarantee specified quality of service. The chapter presents an architectural style and describes execution models to implement such services.
Unifying Services and Resources
Authors: Delgado José C.
Published: September 2014

Current integration solutions are still based on technologies developed for the original Web problem, which is browsing remote hypermedia documents with text as the main media type. Text-based data descriptions such as XML and JSON and stateless and connectionless protocols such as HTTP are still the norm to achieve distributed integration. However, the Web today is much more dynamic, in that resources are no longer passive hypermedia documents but are active and implement services. SOA and REST are the most used architectural styles to implement distributed integration, and each exhibits advantages and disadvantages. This chapter illustrates that they are dual architectural styles—one oriented towards behavior and the other towards state—and contends that it is possible to combine them to maximize the advantages and to minimize the disadvantages. A new architectural style, designated Structural Services, is proposed and described. Unlike REST, resources are able to offer a variable set of operations, and unlike SOA, services are allowed to have structure. To minimize resource coupling, this style uses structural interoperability based on the concepts of structural compliance and conformance, instead of schema sharing (as in SOA) or standardized and previously agreed upon media types (as in REST). To delineate how this style can be implemented, a new distributed programming language is presented.
Supporting Data-Intensive Analysis Processes
Authors: Yao Lawrence , Rabhi Fethi A. , Peat Maurice
Published: September 2014

Research scientists in data-intensive science use a variety of scientific software applications to support their analyses and processes. To efficiently support the work of these scientists, software applications should satisfy the essential requirements of interoperability, integration, automation, reproducibility, and efficient data handling. Various enabling technologies including workflow, service, and portal can be used to address these essential requirements. Through an in-depth review, this chapter illustrates that no one technology can address all of the essential requirements of scientific processes and therefore necessitates the use of hybrid technologies to support the requirements of data-intensive research. The chapter also describes current scientific applications that utilize a combination of technologies and discusses some future research directions.
Scientific Data Management and Visualization
Authors: Goranova Mariana
Published: September 2014

One of the challenges of modern science is data exploration (eScience) that synthesizes theory, experimentation, and computation with advanced data management and statistics. The scientific community produces and consumes massive volumes of unstructured and heterogeneous data from various data sources. State-of-the-art research in “intelligent labs” explores scientific data management and visualization in distributed and heterogeneous environments. The goal of this chapter is to propose and describe a scientific data management and visualization system for scientists to perform specialized data browsing, processing, and visualization using a service-driven integration approach. In order to make scientific data more usable from the Internet, a SOA-based system that uses Web services to manage data is proposed. This chapter discusses the methodology to describe and access scientific data from various sources with different formats, and transform raw data into standard datasets that can be analyzed, processed, and visualized in an effective manner.
Mobile Devices in Higher Education Classrooms
Authors: Santos Ieda M.
Published: September 2014

More and more students are bringing personal mobile devices such as smart phones and iPads to university campuses. Widespread mobile device ownership among students offers Higher Education (HE) institutions with opportunities to explore those devices to support teaching and learning practices. The idea of using students' personal devices is referred to as “Bring Your Own Device,” or BYOD. This chapter examines opportunities and key challenges often discussed in the literature and associated with a BYOD program. Outcomes suggest that a cultural change is necessary to effectively accommodate BYOD in the classroom. The chapter proposes a BYOD joint enterprise consisting of main stakeholders—administrators, faculty, students, and information technology personnel—working together to help minimize the impact of key challenges while maximizing the opportunities afforded by students' everyday mobile devices.
Preparing Educators for Development of Innovative Teaching Using Mobile Technology
Authors: Watlington Deborah , Murley Renee , Cornelius Annette , Kelley Torre
Published: September 2014

Mobile technology, in the form of smart phones and tablets, is an integral part of how we connect with information. Educators recognize that these mobile technologies shift the manner in which information is accessed, communicated, and transferred, and that they are infiltrating educational settings. A critical need is rising to prepare educators to effectively embed mobile technology in the learner's educational world (O'Hara, Pritchard, Huang, & Pella, 2013). This chapter outlines a progressive model of professional development designed to prepare educators for innovative educational uses of mobile technology. Traditional, individualized, and innovative professional development models are discussed as well as the core content that should be incorporated in this professional development. Best practices in mobile technology implementation are addressed as well as suggested strategies to transition educators from novice to experienced users of mobile technology.
Application of AGC/AVC in Photovoltaic Power Station
Authors: Liu Shuang , Wei Hai Chao
Published: September 2014

In order to deal with a lot of adverse influence of photovoltaic power generation for power grid, such as the intermittence, randomicity and undulation, AGC / AVC in a photovoltaic power station have become a fundamental requirement. This paper introduces the structure, contro1 strategies of AGC / AVC system in photovoltaic power station. A practical application is carried out at Shizuishan PV power station in Ningxia Hui Autonomous Region. The result shows that the technical specifications of the system meet the requirements of the site operation.
A High Performance Baseband Testing Instrument for Access Network System: A PXI-Based Approach
Authors: Gao Ya Yun , Duan Xiao Hui , Guo Yue Chao , Liu Jing Jing
Published: September 2014

High performance network over coax (HINOC) is a recently proposed technology which plays a central role in the integration of telecommunications networks, cable TV networks and the Internet. But there still is a lack of comprehensive testing equipment designed for it yet, especially in baseband signal testing area. In this paper, we designed a high performance baseband signal transmitter and analyzer for HINOC system test. The system is implemented as hardware and software co-design architecture. Both of the baseband signal transmitter and analyzer have passed a series of rigorous tests, which demonstrates that the whole system meets the HINOC test specification and can provide great assistance for follow-up HINOC research.
Multicast Routing Protocols in Delay Tolerant Networks
Authors: Yin Wen Hua , Bai Xiang Yu , Ma Xue Bin
Published: September 2014

Delay Tolerant Networks (DTNs) are characterized by intermittent connectivity, frequent partitions and extremely high latency. As a result, multicast routing protocols are difficult to implement in DTNs. Multicast can not only save network bandwidth, but also can reduce communication cost and improve the efficiency of data transfer. In recent years, various multicast routing protocols are proposed for DTNs. In order to provide a comprehensive understanding of these multicast routing protocols designed for DTNs, a survey of the multicast routing protocols was discussed in this paper. We analyzed two types of multicast routing protocols: the knowledge-based multicast routing protocol and the probability-based multicast protocol. We conclude the future research directions by discussing the advantages and disadvantages of various multicast routing protocols for DTNs, and provide some reference value for the further studies of multicast routing protocols of DTNs. Furthermore, in order to resolve the existing problems of DTNs (such as energy optimization); we will propose a social-aware energy constrained multicast routing algorithm in the future.
A Novel Way to Improve the Bandwidth of TWTA Linearizer
Authors: Wang Yong Fei , Xu Jing Yuan , Zheng Kai , Lv Da Long , Zhou Dong Fang
Published: September 2014

This paper gives a detailed discussion about the gain ripple effect. Using gain equalization to compensate for the gain ripple and improve the working band of the Linearizer-TWTA system is proposed. A Ku-band equalized RF predistortion linearizer for linearizing the distortion effects of travelling wave tube amplifiers (TWTAs) is proposed. Per-tone and two-tone test experimental results show that the equalizer has improved the working band of the predistortion linearizer. A minimum of 4 dB of AM-AM improvement is made within the whole bandwidth of the TWTA, with a 20° phase shift improvement. And the maximum C/IM improvement after equalization is 3.5dB.
Design of a Rapid Detection of Hepatitis B Immuno Gold Dipstick Test Strip Control System
Authors: Hou Yan , Huang Jin Xia
Published: September 2014

In response to hepatitis B surface antigen colloidal gold strip rapid analyzer application characteristics, design a new type hepatitis B fast analyzer control system using the embedded method. The control system based on ARM-DSP dual-core architecture, with low power consumption, small volume, anti interference, for hepatitis B surface antigen colloidal gold strip rapid analyzer is miniaturized and portable design foundation.
The Impact of Water Distribution System on the Internal Flow Field of EGSB by Using CFD Simulation
Authors: Wang Hua , Ding Jie , Liu Xian Shu , Ren Nan Qi
Published: September 2014

The internal flow field of EGSB (Expanded Granular Sludge Bed) reactor was investigated by using CFD simulation. A three-dimensional Eulerian–Eulerian two phase (sewage-granular sludge) fluid model was applied to investigate the impact of water distribution system on the internal flow field by considering the ratio α of hole area to reactor area. Results showed that the flow state of sludge granules changed periodically when the sludge bed reached a stabilization stage, and every cycle included two periods (U period and D period), where U stands for up-flow of the granular sludge and D represents down-flow. Keeping the upward-flow velocity of reactor at 3 m/h and reducing ratio α from 1.44% to 0.25%, the flow state of the two periods changed differently and was closely related to the height of reactor. Besides, the ratio α could affect the homogeneity of sludge granules, which could further influence the performance of the reactor. In addition, a validation experiment was conducted to verify the practical applicability of the fluid model, a good relationship between simulation and experiment was discovered, which further confirmed that the ratio α of water distribution system has significant impact on the internal flow field of EGSB.
Three-Dimensional Ballistic Equations of Rocket Considering the Elastic Effects
Authors: Liu Fu
Published: September 2014

Because the shell of modern rocket is more and more thin and the body length to diameter ratio increase constantly, influence to trajectory caused by elasticity effect cannot be ignored any more. Based on the model of Euler-Bernoulli beam, the dynamic equations of flexible rocket are derived by using of Hamilton principle. The influence of distributing mass and aerodynamic force and the coupling between longitudinal and transversal vibration are considered. Example shows ballistic range and altitude of rocket are influenced by elastic effects observably.
A New Way to Eliminate the Phenomenon of Trapping Oil in Gear Pumps
Authors: Yang Guo Lai , Li Ming Xue , Wang Jian Zhong , Yin Da Yu
Published: September 2014

The phenomenon of trapping oil is an inevitable result to ensure oil absorption cavity and oil exhaust cavity are not collude with each other. It directly affects the working performance and service life of the gear pump. This article through analyzing the root cause of it put forward a new way to using an external oil circuit to eliminate it. Adding such an external oil circuit to the gear pump, can make the dead volume linked to oil exhaust cavity when the dead volume is decreasing and make the dead volume linked to oil absorption cavity when the dead volume is increasing. This way eliminates the trapped oil compression and expansion, so as to achieve the purpose of thoroughly eliminate the phenomenon of trapping oil.
The Existence Form and Distribution of Mn in Production of Tungsten Products
Authors: Li Ya Lei , Tan Dun Qiang , Yang Xin , He Wen , Zhu Hong Bo , Lu Lei , Lu De Ping
Published: September 2014

The effect of doping different content of Mn into ammonium paratungstate (APT) on the production of tungsten products was studied systematically. The calcination of APT, reduction of WO3 and carbonization of W were studied in sequence.The phase composition, powder morphology, existence form and distribution of Mn were analyzed by X-ray diffraction, scanning electron microscope and transmission electron microscope, respectively. The results showed that Mn converted from MnCl2 to Mn2+WO4 during reduction process. And then Mn2+WO4 converted to Mn5C2 in the process of carbonization. Besides, Mn finally existed as the form of (Mn, W) C solid solution and Mn5C2. The distribution of Mn was always in the low contrast areas.
A Novel SPES/PES Catalytic Membrane for Production Biodiesel: Optimization by Central Composite Design
Authors: Shi Wen Ying , Li Hong Bin , Zhou Rong
Published: September 2014

A sulfonated polyethersulfone (SPES)/polyethersulfone (PES) blend catalytic membrane was prepared and used as a heterogeneous catalyst in the esterification of oleic acid with methanol for producing biodiesel. Response surface methodology (RSM) based on central composite design (CCD) was used to optimize the three important reaction variables methanol/oleic acid mass ratio, catalytic membrane loading and reaction time for the esterification by SPES/PES blend catalytic membrane. The optimum condition for the esterification was as follows: methanol/oleic acid mass ratio 1:1, catalytic membrane loading 1.66 meq/g, reaction time 6 h. The optimum predicted fatty acid methyl ester (FAME) yield was 97.44% and the actual value was 98.64%. The above results shows that the RSM study based on CCD is adaptable for FAME yield studied for the current esterification system.
Research on Column Flotation of Sliming Molybdenum Tailings Using Ultrasonic Pre-Treatment
Authors: Cao Liang
Published: September 2014

In this paper, for the re-concentration of sliming molybdenum Tailings in Henan Province, a multi-parameter test is carried out using orthogonal method in the column flotation system with the ultrasonic pre-treatment. Two groups’ optimum parameters of ultrasonic pre-treatment are acquired through the analysis of orthogonal test results. In addition,those two groups parameters are selected to verify the test results. Furthermore, the impact of ultrasonic pre-treatment on the floatability of mineral are defined by comparison tests. All the tests show that ultrasonic pre-treatment promotes the flotation of sliming molybdenum tailings..
Hydrocarbon Accumulation Dominant Factors and Modes of Minghuazhen Formation in Chengdao Area
Authors: Hu Yang , Wu Zhi Ping , Wang Guang Zeng
Published: September 2014

Chengdao area is a multiple hydrocarbon accumulation belt with the typical tectonic background, and its main target stratum is Neogene. However, the exploration and recognition level of Minghuazhen Formation is still at the primary stage. Based on the comprehensive analysis of seismic, well-logging, logging and geochemical data, and combined with its structural characteristics, intensity of fault activity and reservoir-caprock assemblage, this paper systematically analyzed the dominant factors of hydrocarbon accumulation in Minghuazhen Formation, and clarified that the tectonic setting controlled where the hydrocarbon enriched, intensity of fault activity influenced how much of hydrocarbon enriched and the reservoir-seal assemblage dominated hydrocarbon accumulation strata. Then two types of hydrocarbon accumulation models, that is, main fault-sand body and main fault-secondary fault–sand body were established.
Standard Requirements and Localization Development Trend for Nuclear Power Plant Key Components Material
Authors: Zhang Shao Jun , Kan Yu Qi , Huang Da Peng
Published: September 2014

The production capacity of Nuclear Island Mechanical Components (NIMC) falls far behind of massive demand of nuclear power increasement. To achieve the goal of nuclear power development in China, the localization progress of key NIMC needs to be speeded up. Taking material of NIMC (not including nuclear fuel and related material) for example, through the analysis and discussion of the standard or norm, status quo of supply and research, production capacity and existing problems of material of NIMC in China, the major obstacles and factors restricting development of nuclear power plant are found out, and the countermeasures and suggestions are also introduced to accelerate the localization progress of key NIMC in this paper.
Research of Virtual Assembly Simulation System
Authors: Zhou Li Bo , Xu Fu Lin , Shen Zhi Xiong
Published: September 2014

Virtual assembly is one of the main contents of the virtual manufacturing; assembly process simulation is an important part to product virtual assembly. The establishment and optimization technology of three-dimensional assembly simulation scene have been studied to develop a virtual machine assembly simulation system, which achieve a virtual simulation of assembly and disassembly of the machine and the integration and improvement of existing collision detection library, design and implement a graphical simulation system collision detection module, which can real-time interference checking to machine parts motion. The system has good human-computer interaction and visual interface, versatility, can be applied to any organization's assembly simulation, and through examples of the validity of the system.
Soft-Sensing Model of Flatness Error on the Surface of Machining Workpiece and its Application
Authors: Lei Ji Ping , Chen Jian Mei
Published: September 2014

To effectively realize fast and high accurate measurements of flatness error on the surface of machining workpiece, multiple sets of actual machining experimental data are used as samples, a soft-sensing model of flatness error on the surface of machining workpiece is established by using the speed n, the moving speed of carriage uy and the voltage U of piezoelectric ceramic micro-feed drive as arguments with SVM(Support Vector Machine), and adaptive genetic algorithm is used to optimize the allowable error ε, the number of positive gasification rules c and the parameters of kernel function r, the results of training, testing and practical application show, after the optimization of 200 steps, training mean relative error which became saturated is 3.4%, testing relative error is less than 2.6%, the range of average relative error between the soft measurement value of flatness error on the surface of machining workpiece and the test value of L-730 laser flatness measuring instrument is 1.2% to 2.4%.
Catalysis Nanomaterial Research for NO High Temperature Cylinder
Authors: Zhou Hua Xiang , Zhou Zheng , Liu Jing Ping
Published: September 2014

NO is the product in Cylinder fuel combustion at temperature. With nitrogen oxide emissions worldwide increasingly stringent standards to reduce NO emissions are the main research topics of modern environmental protection. Selective Catalytic Reduction (SCR) technology has been used outside the engine, the catalyst is researched is a more advanced. Because NO is mainly produced in the high temperature, NO is broken down in Cylinder is a more efficient and feasible approach in high temperature Catalytic. NO bonding strength decreased at a high temperature, it is easy to activation with N+ and O-. An effective diverse nanomaterials is being researched in electron transfer Catalytic. Proportion of multiple catalytic material, the microstructure, grain size, the intermediate material is important. Catalytic nanocomponent materials: Co / Al2O3, Ni / Al2O3, Pt / Al2O3, Pt-Co / Al2O3, Pt-Ni/ Al2O3, Pt-Ru, NiO / CNTs, Co3O4/CNTs, SiO2/ Co3O4, Pd / Ru, TiO2 etc. are researched. Catalytic materials: Co3O4, Pd / Ru, Pt-Ni, the matrix material: Al2O3, CNTs, SiO2, TiO2, efficient catalysts: Pt-Ni/ Al2O3, Co3O4/CNTs, SiO2/ Co3O4 be found. All of these research for the design of high temperature catalytic decomposition of NO cylinder provides a theoretical basis.
Damage Evaluation of Lead-Free Solder Joints Based on Micro-Electrical-Resistance Strain Measurement
Authors: Zhang Gui Ying , Wang Zhi Qiang
Published: September 2014

The relationship between the micro-electrical-resistance strain and the damage was obtained via the theoretical formula deduction, which provides a theoretical foundation for the feasibility of measuring solder joints’ damage based on micro-electrical-resistance strain. Single shear lap creep specimens with a 1 mm2 cross sectional area between thin copper strips were fabricated using lead-free solder (Sn-3.5Ag) to quantify their micro-electrical-resistance strain with in situ micro-electrical-resistance strain measurement under the shear tensile loading. The results showed that the micro-electrical-resistance strain of the solder joints had two stages at the room temperature. And it increased slowly with an almost linear growth trend at the first stage but increased quickly with an almost exponential growth trend at the second stage. The creep damage curves were very similar with the classic creep damage curve.
The Purity Detection Method of Gem Material Based on the Echo Reflection
Authors: Qin Hong Yu
Published: September 2014

In traditional purity detecting system, the purity of gem is determined by depending on the obtained shape of the reflection spectrum and the different shape features. Once gem is mixed, the system cannot accurately identify the aliasing and deformation reflection spectrum, and the accuracy rate of detection is low. A detection system for the purity of gem based on aliasing spectrum splitting algorithm is proposed. By extracting the detection spectrum characteristic parameter of the gem, the superposition and correlation for spectrum characteristic parameter is calculated; aliasing spectrum information is made splitting to classified achieve the purity detection of gem. Experiments show that this method improve the accuracy rate of the purity detection, and achieves satisfactory results.
Damage Detection Method for Pear Based on Computer Vision
Authors: Dong Qian , Wen Zhe
Published: September 2014

During the process of pear damage detection based on computer vision, there are many noise in image acquisition. For a long time, rapid detection equipment cannot be utilized to identify pear damage. To solve this problem, a method of identifying damage pear is studied. This paper proposes a method for pear damage identification based on geometric features. First, with morphological method to remove the noise of pearimage to obtain the best edge detection method and best threshold suitable to the pear damage, so as to detect the damaged edge of the image. The experimental results show that this method can effectively identify the damaged pear. Compared with conventional edge detection method, the recognition accuracy has been significantly improved, and solve the long-standing problem of automatic identification and improve the detection efficiency of pear damage.
Vehicle Traction Performance in Research of Soft Road
Authors: Xu Rui Liang , Yang Tao
Published: September 2014

This paper describes the main properties of the soil, in the analysis of the soil under the horizontal load stress distribution and stress - deformation relationship on the basis of research issues related to wheeled vehicles and tracked vehicles traction. The formula gives the vehicle traction, analyzes the factors that affect vehicle traction and proposes an effective method to improve vehicle traction.
An Aircraft Parts Field Measurement System Based on Industrial Robotics
Authors: Xia Li Yue , Zhang Feng Hua
Published: September 2014

According to the measurement problem of aircraft parts at maintain field, a measurement system based on industrial robot is proposed in this paper. An industry robot which carries an electronic lever indicator with communicating function to sample data, serves as main measurement actuator. The aircraft part is fixed on a revolving table, and the whole part can be measured on equivalent rotated place. Some key points, such as the kinematics model of the system, the calibration of the system and measuring approach are discussed. The experimental results demonstrate that the system is more flexible and more efficient and fit better in the maintain field with respect to traditional measurement methods.
A New Maneuvering Target Detection Algorithm in OTHR
Authors: Li Hui Yong , Li Wan Ge , Hu Jin Feng , Ai Hui , Lin Zhi Rong
Published: September 2014

In the three-order polynomial phase signal, HAF can be used to reduce phase order to achieve the phase parameter estimation. The loss of signal to noise ratio in the order reduction processing is serious. In order to reduce the SNR loss, this paper uses CPF to reduce phase order. It requiers two one-dimensional searches to estimate the rate of acceleration and acceleration. The estimated motion parameters are used to compensate the target echo doppler and doppler spectrum expansion can be suppressed. This paper proposes a new maneuvering target detection algorithm with low non-linearity. The algorithm makes use of the cubic phase function (CPF) to estimate target motion parameters and reduce the number of phase order. Simulation demonstrates the effectiveness of the proposed algorithm and the adaptability to low signal noise ratio.
Research and Application of Facility Agriculture Monitoring and Early Warning Technology
Authors: Ma Li , Yu Heng Long
Published: September 2014

Infrastructure changes in the environment have had a huge impact for the growth of crops. For real-time monitoring facilities environment, increase crop yield, the paper takes Jilin agricultural facilities, for example, introduced the greenhouses, sheds and other crops growing environmental monitoring network structures, technical methods of data acquisition and wireless transmission of real-time early warning information dissemination. This method realizes the different sensors compatible protocols and networking technology, the remote server through the unified management of data, enabling real-time alert when data anomalies. Application of the technology, which enables remote monitoring and early warning function effectively solve Jilin agricultural facilities centralized management, improve the level of facility agriculture park management and the ability to deal with abnormal.
Research of Image Edge Detection Algorithms Based on Android Platform
Authors: He Yi , Li Tian Li , Zhang Ying Qian
Published: September 2014

With mobile platform development there are more and more Android-based image processing applications. The principles of four kinds of edge detection algorithms are analyzed in this paper and such algorithms are realized by adopting JNI technology based on android platform. At last the effect and efficiency of such algorithms are also compared and summarized.
Design and Realization of Test System for UAV Aeronautic Electronic Equipment
Authors: Qian Zheng Xiang , Shi Yong Xin
Published: September 2014

A portable test system of aeronautic electronic equipment used for UAV is researched and designed in this paper, according to the computer test and control technology. The structure of hardware and software of test system is explained in detail. The system can meet the needs that UAV units test for these devices quickly and efficiently under field-war conditions. The application results indicate that the precision of this test system is up to the demand of UAV weapon system.
Network Intrusion Detection Data Processing Research Based on Concept Clustering AOI Algorithm
Authors: Xu Rui Ying
Published: September 2014

With the development of network technology and the popularity of network applications, network server attack number and severity are significantly increased; attack alarm data is mostly produced by duplicate and invalid. Classic attribute-oriented induction (Attribute-Oriented Induction, AOI) algorithm is used for conceptual clustering can greatly improve the processing of these data workload, but does not seem to be very effective in actual work. This paper makes a detailed discussion on how to improve the algorithm.With the development of network technology, the number of attacks on web services and severity increased significantly, so intrusion detection system (IDS) has been applied to the field of network security. However, IDS protects network, at the same time also brings a new problem: IDS will produce a lot of alarm data, and most of these alarm data are duplicate and invalid. According to the characteristics of the data, effective dealing with distributed IDS has brought a lot of alarm data, and how to eliminate duplicate or invalid data becomes a realistic problem which is urgent to be solved. Although using classic attribute-oriented Induction (AOI) for conceptual clustering algorithm can greatly improve the processing of these data workload, the algorithm have not achieved the result of simple data processing on computer processing, thus how to improve the algorithm is a urgent subject of work efficiency.
Dynamic Bending Mathematical Model of Vehicle Adaptive Front-Lighting System Based on Rolling Characteristics
Authors: Li Li Fu , Yang Ming Jun
Published: September 2014

When the vehicle is turning, the vehicle body will tend to roll because of centrifugal force, which will lead to the change of headlamps' space location and the mismatch between light type and the regulation GB4599-2007. Directing at this problem, first the relationship among the rolling characteristics of vehicle, light distribution characteristics of AFS headlamps and dynamic light angle of AFS was analyzed in the article. Then a dynamic bending mathematical model of AFS based on rolling characteristics was proposed. Based on the three degrees of freedom of manipulation model, the interaction mechanism between the roll angle and light distribution characteristics of AFS was analyzed, and the dynamic bending mathematical model of AFS based on rolling characteristics which can amend the illumination direction of AFS was built afterwards. After analysis in Matlab and Tracepro, the results show that the dynamic AFS headlamp angle determines the maximum of 1.75° angular increment in the xy plane and 2.25° in the yz plane, and solves the problem of the mismatch between light type and regulation GB4599-2007.
Design of Ground Monitoring System Guidance System Based on Virtual Instrument
Authors: Zhang Bo
Published: September 2014

For backward status of a missile guidance device monitoring methods, developed a set of ground monitoring system based on virtual instrument technology. The system meets the standard test of a certain type of missile guidance device, the data acquisition card and controller of PXI bus as the hardware platform, using LabVIEW as the software development platform, The acquisition of analog signal, video signal and serial communication set in one, it can detect the performance and parameters of the guidance device, and monitoring the flight trajectory of the missile qualitatively. The application results show that the monitoring system is stable and reliable, improve the efficiency and accuracy of monitoring, and has a certain popularization value.
The Application of Geophysical Methods in Groundwater Pollution Detection
Authors: Zhang Xuan , Yang Jin
Published: September 2014

Groundwater refers to the subsurface water that occurs beneath the water table in geological formation that are fully saturated. 95% of the water used for human production and living comes from groundwater. But now, the pollution degree of groundwater resources is serious, which is a serious threat to human. In order to capture groundwater pollution's situation, groundwater pollution detection should be carried out. Because of the geophysical methods are of low cost, high speed and the characteristics of in-situ nondestructive, people often used geophysical methods for groundwater pollution detection. Geophysical prospecting contains a lot of methods, and the researchers often use resistivity sounding method, ground penetrating radar method, high density resistivity method and seismic reflection method to detect the pollution condition of groundwater.
The Research on Magnetic Target Detection Technology Based on Wireless Sensor Network
Authors: Hu Bo Zhou , Pan Meng Chun , Jiang Peng , Tian Wu Gang , Hu Jia Fei , Hu Jing Hua
Published: September 2014

In the conditions of magnetic dipole model, this paper proposed forward a centroid localization algorithm on magnetic anomaly target based on wireless sensor network node which distribution are random and the improved the weighted centroid localization algorithm based on magnetic induction intensity. According to the fluctuation of magnetic field intensity which detected by magnetic sensors, that can detect the existence of magnetic anomaly target and its location. Established an experimental system of the wireless sensor network for magnetic anomaly detection whose core designs including the HMC1043 three-axis magnetic resistance sensor and the CC2530 Zigbee RF chip. The experimental results show that the algorithm can accurately positioning the magnetic anomaly target within the network.
A Dynamic Fuzzy Neural Networks-Based Surface Vessels Course Tracking Controller
Authors: Wang Yang , Guo Li Li , Guo Chen
Published: September 2014

A Dynamic Fuzzy Neural Networks Course Tracking Controller (DFNNCTC) for Surface Vessels is presented to solve the uncertainties coursing by the wide and wave. A Dynamic Fuzzy Neural Networks (DFNN) combines with a PID controller to integrate the DFNNCTC, in which the structure and parameters are adjusted online, and the fuzzy rules are automatically generated when being trained. The intelligent algorithm conquers the disadvantage of either overfitting or overtraining in traditional static fuzzy neural networks-based control methods. Simulation results of a container’s course tracking control validate the effectiveness of the proposed algorithm.
The Determination of Air Material Consumption Quota with Life
Authors: He Ya Qun , Li Ji Jun , Guo Hong Yang , Wang Tao
Published: September 2014

Aiming to the problem of air material with life consumption quota, the paper divides into two parts, repairable spares and unrepairable spares. The paper analyzes the effect of failure mode and determines different consumption quota models according to different failure mode. Analysis and examples prove that the model is scientific and practical.
Moving Object Detection Based on the Fish
Authors: Li Lian , Song Jun Yi , Yan Zhi Yang
Published: September 2014

The detection and tracking of moving object is the important research of image analysis and understanding as well as in computer vision field, and have extensive application in the traffic monitoring, the military, industrial process control and medical research, but less application in the underwater monitoring of fish. In this paper, in order to be able to real-time detection of the fish in the digital video system moving target, proposed the fish moving target detection algorithm under a camera. With an improved background updating method of adaptive Gaussian mixture model, a method to detect the target fish based on Gaussian mixture model combined with edge detection operator.
An Accurate Positioning Method of Image Target Based on Sub-Pixel
Authors: Lin Jian Hua , Fu Gang , Yao Xue Lu
Published: September 2014

The conventional image of the mark is mainly targeting the video image within the target pixel level positioning, the positioning accuracy is poor, and is easily affected by noise. To this end, the introduction of a Canny edge detection and Zernike moments method of combining precise positioning mark targets for sub-pixel edge detection, and for the oval shape characteristics mark the target, using the least squares fitting to mark the target oval central location positioning . Experimental results show that the higher positioning accuracy of this method, anti-interference ability, with high robustness, and can meet the requirements of real-time video image processing.
Research on Real Performances of Special Optoelectronics Devices Inconformity to their Test Results in Electricity Parameter Detection
Authors: Zhang Xuan Gong , Xu Lu Tie
Published: September 2014

The electricity parameter detection of special optoelectronics devices is constrained by the situation of their real performances inconformity to their test results.To solve this problem,this paper first pointed out the differences between special optoelectronics devices tests and ordinary ones,then analysed different reansons of the phenomena and classified them.At last, a solution was put forward to solve the problem of situation two,which can be thought to piont out an effective way of thoroughly ending the phenomena.