bluuebunny/crossref_metadata_2025 huggingface dataset:
CUSTOMER PERCEPTION OF SERVICE QUALITY IN PUBLIC TRANSPORT
Authors: Grujičić Dragana , Ivanović Ivan , Jović Jadranka , Đorić Vladimir
Published: September 2014

This paper presents the research and analysis process showing that transport system customers have a specific perception of service quality, as an indicator of transport system. Determining satisfactory level of service quality implies knowledge of travel demand and travel behaviour. There are a lot of elements that define the transport system quality. The goal of this paper is to identify the public transport system’s service quality elements that should be primarily acted on, in order to increase the level of service quality from transport system users’ (public transport users’ and non-users’) point of view, with minimal investment. The paper describes a specifically defined research methodology for determining service quality elements that should be primarily acted on, from the transport system users’ point of view. Methodology involves the use of Importance Performance Analysis (IPA) which is upgraded with the state preferences analysis. Presented methodology, which is used to determine user perception of service quality, can be considered to be universal. This methodology can be applied in other cities, with additional research that must precede its use. The methodology was tested on transport system users in Belgrade.
EVALUATING STAGGERED WORKING HOURS USING A MULTI-AGENT-BASED Q-LEARNING MODEL
Authors: Yang Min , Tang Dounan , Ding Haoyang , Wang Wei , Luo Tianming , Luo Sida
Published: September 2014

Staggered working hours has the potential to alleviate excessive demands on urban transport networks during the morning and afternoon peak hours and influence the travel behavior of individuals by affecting their activity schedules and reducing their commuting times. This study proposes a multi-agent-based Q-learning algorithm for evaluating the influence of staggered work hours by simulating travelers’ time and location choices in their activity patterns. Interactions among multiple travelers were also considered. Various types of agents were identified based on real activity–travel data for a mid-sized city in China. Reward functions based on time and location information were constructed using Origin–Destination (OD) survey data to simulate individuals’ temporal and spatial choices simultaneously. Interactions among individuals were then described by introducing a road impedance function to formulate a dynamic environment in which one traveler’s decisions influence the decisions of other travelers. Lastly, by applying the Q-learning algorithm, individuals’ activity–travel patterns under staggered working hours were simulated. Based on the simulation results, the effects of staggered working hours were evaluated on both a macroscopic level, at which the space–time distribution of the traffic volume in the network was determined, and a microscopic level, at which the timing of individuals’ leisure activities and their daily household commuting costs were determined. Based on the simulation results and experimental tests, an optimal scheme for staggering working hours was developed.
AIR STREAM VELOCITY MODELLING IN MULTICHANNEL SPIRAL CYCLONE SEPARATOR
Authors: Vaitiekūnas Petras , Petraitis Egidijus , Venslovas Albertas , Chlebnikovas Aleksandras
Published: September 2014

Numerical modelling problem is investigated in a gas aerodynamics multichannel spiral cyclone separator with a tangential inflow. Experimental and theoretical papers analysing cyclone separator with particularly complex turbulent flow were reviewed. The three-dimensional transport differential equations for incompressible laminar and turbulent flow inside the cyclone separator were presented. They were numerically solved by finite volume method using the Re-Normalisation Group (hereinafter RNG) k-ε turbulence model. The numerical air flow movement was modelled in cyclone separator with the following dimensions: 0.95 m height, 0.330 m diameter, 0.88 m height of spiral-cylindrical part, 0.39 m height of conical part, inflow dimensions (on the side of cylindrical part) according to the drawings were a × b = 28 × 95 mm. The mathematical model of air flow movement in cyclone separator was composed by Navier-Stokes (Reynolds) as the three-dimensional differential equation system. The modelling results were obtained by the tangential and axial velocity profiles in cyclone separator using RNG k-ε turbulence model, the inflow velocity from 4.1 m/s to 15.4 m/s coincided well with the experimental results. This is the first article testing for multichannel cyclone and determined distributions of aerodynamic parameters. The absolute error between experimental and modelling results changed from 0.01 to 0.24 units.
Familiality and Indicators of Risk for Bipolar Disorder in Youth with Attention-Deficit/Hyperactivity Disorder
Authors: Uchida Mai , Davis Jacqueline , Wozniak Janet
Published: September 2014

Our literature review aims to identify risks for pediatric bipolar disorder in youth in the presence of symptoms of attention-deficit/hyperactivity disorder (ADHD). This issue is of clinical and scientific significance as these two disorders share multiple characteristics, as well as high rates of comorbidity with disruptive behavior disorders. Family studies validate that these disorders often co-exist and suggest that a family history heightens the risk for the development of bipolar disorder. Elevated emotional dysregulation scores on the Child Behavioral Check List present another risk factor that is associated with the diagnosis of bipolar disorder in youth. In addition, ADHD children initially presenting with depression are at an increased risk for manic switches; a switch can be predicted by the presence of a family history of mood disorders, emotional and behavioral dysregulation, subthreshold manic symptoms, and psychosis. Taken together, these risk factors can aid clinicians in making an accurate diagnosis of mania in youth with ADHD.

[
Psychiatr Ann
. 2014; 44(9):423–427.]
A Service-Oriented Computing Platform
Authors: Sobolewski Michael
Published: September 2014

In Service-Driven Computing, the client-server architecture describes the relationship of cooperating programs in a distributed application. The providers of a resource or service execute workloads submitted by service requestors. Web service, Grid, and Cloud Computing technologies are based on the client-server architecture. A true service-oriented architecture describes everything, anywhere, anytime as a service. This chapter presents the SORCER (Service-ORiented Computing EnviRonment) platform, which provides service-oriented modeling or programming or both (mogramming) environments within its operating system that runs front-end service-oriented mograms and dynamically manages corresponding federations of local and remote service providers. The architecture of SORCER is described with the focus on service-oriented mogramming, service context-awareness, and its operating system managing everything as a service type. A case study report illustrates how SORCER is used for a conceptual design of the next generation of efficient supersonic air vehicles.
Automating Web Service Composition
Authors: Al Mashat Tamer M. , El-Licy Fatma A. , Salah Akram I.
Published: September 2014

In the Service-Driven Computing paradigm, applications are typically built by composing a set of Web services. Web service composition facilitates rapid development of applications via service reuse and enables the creation of complex services from simpler application services. Research efforts in the area of Web service composition are concerned mainly with two challenges, namely automated service synthesis and verification of the composed Web services. This chapter presents a framework for Web service composition based on semantic specification through OWL-S to establish an ontological agent for automating Web service composition. The semantic description serves to define the planning domain for the agent to automate the composition procedure. A Petri nets model is applied to build a formal representation of the structure and behavior of the service. Finally, AND-OR graph methodology is used to represent the dependences among Web services to select between alternatives based on Quality of Service.
Legacy Software Integration in Service-Driven Environments
Authors: Pang Chung-Yeung
Published: September 2014

Maintaining and upgrading legacy systems is one of the challenges many enterprises face today. Despite their obsolescence, legacy systems continue to provide a competitive advantage by supporting unique business processes and acting as a repository for invaluable knowledge and historical data. However, enterprises would prefer to develop their applications with modern software technology instead of continuing to develop in the mainframe but leverage existing business processes and data from their legacy systems. This chapter presents an architectural framework and implementation methodology of a Central Intelligent Agent that is responsible for legacy integration. The framework uses an Enterprise Service Bus for service integration and agents to handle services. The Central Intelligent Agent uses a Prolog-style rule-based engine and context awareness for service handling and a complementary service agent on the mainframe side for legacy integration. The underlying framework provides a full set of functions to integrate legacy COBOL applications as services into the system without any programming effort in COBOL. The proposed technique enables fast prototyping and rapid development in an agile development process. It also facilitates legacy migration through successive and iterative processes.
Mitigating Security Risks in Web Service Invocations
Authors: Costa Gabriele , Mandati Roberto , Martinelli Fabio , Matteucci Ilaria , Yautsiukhin Artsiom
Published: September 2014

The pervasiveness of Web services increases the necessity for consumers to access and use them in a secure way. Besides secure communications, consumer security also involves providing strong guarantees that a requested security policy is satisfied. Needless to say, remote services are adverse to most techniques of analysis and control that usually require direct access to either the implementation or the execution. In this chapter, the authors classify service execution paradigms and provide a characterization of the security threats that may affect a Web service infrastructure depending on the elements composing it. In particular, the authors provide a discussion of the threat models for several different Web service paradigms involving service consumers, providers, and platforms, and illustrate how and when contract-based security approaches and its variants can be applied for mitigating risks in service integrations in the identified paradigms.
Enterprise Cloud Adoption
Authors: Opala Omondi John , Rahman Shawon S. M. , Alelaiwi Abdulhameed A.
Published: September 2014

Cloud computing is synonymous with outsourced data center management and agile solution architecture that improves the scalability for delivery of services for enterprises. It has the capability to revolutionize how data is delivered from commodity to Information Technology as a service. At its core, Cloud computing is a new approach to distributed computing and shared pooling of IT infrastructure linked together to offer centralized IT services on demand. Companies that provide Cloud computing services manage multiple virtualized computation systems that allow for dynamic on-demand provisioning of IT delivery as services. This chapter presents a study of the factors that influence the adoption of Cloud computing in enterprises based on managements' perception of security, cost-effectiveness, and IT compliance. The results of a linear regression analysis testing are presented, which indicate that managers' perceptions of cost-effectiveness and IT compliance are more significantly correlated to the enterprise adoption of Cloud computing than security.
Resource Provisioning in the Cloud
Authors: Mao Ming , Humphrey Marty
Published: September 2014

It is a challenge to provision and allocate resources in the Cloud so as to meet both the performance and cost goals of Cloud users. For a Cloud consumer, the ability to acquire and release resources dynamically and trivially in the Cloud, while being a powerful and useful aspect, complicates the resource provisioning and allocation task in the Cloud. While on the one hand, resource under-provisioning may hurt application performance and deteriorate service quality; on the other hand, resource over-provisioning could cost users more and offset Cloud advantages. Although resource management and job scheduling have been studied extensively in the Grid environments and the Cloud shares many common features with the Grid, the mapping from user objectives to resource provisioning and allocation in the Cloud has many challenges due to the seemingly unlimited resource pools, virtualization, and isolation features provided by the Cloud. This chapter focuses on surveying the research trends in resource provisioning in the Cloud based on several factors such as the type of the workload, the VM heterogeneity, data transfer requirements, solution methods, and optimization goals and constraints, and attempts to provide guidelines for future research.
Mitigating Technology Obsolescence in Cloud Software Services
Authors: Sharma Ritu , Sood Manu
Published: September 2014

Cloud computing is a promising computing paradigm wherein computational resources such as processors, storage, and software applications are provided as services to the clients over high bandwidth networks. The diverse software services (SaaS) in a Cloud may not exist in isolation; they require interaction with each other in order to accomplish tasks. Service-Oriented Architecture (SOA) enables applications to be designed and developed as a collection of services, each accessible through well-defined interfaces specified for the purpose. Since SOA inherently fosters interoperability, it would enhance the integration and interaction among the Cloud software services. However, hardware and software technologies are constantly evolving at a tremendous pace and technology obsolescence is a major challenge to the software industry. Consequently, a software development approach that could alleviate the undesirable effects of technology shifts is desirable. In this perspective, the Model Driven Architecture (MDA) becomes a preferred methodology for developing software applications. This chapter proposes to integrate the three paradigms, namely Cloud computing, SOA, and MDA, to yield Cloud software services that are robust, flexible, and agile. Convergence of SOA and MDA paradigms in the development of Cloud software services will provide an apt solution to technology obsolescence.
Building Elastic Java Application Services Seamlessly in the Cloud
Authors: Zabolotnyi Rostyslav , Leitner Philipp , Dustdar Schahram
Published: September 2014

Cloud computing is gaining increasing attention from the industry and research; however, there is a lack of advanced Cloud software development tools. While Platform as a Service (PaaS) brings convenient software development platform for application development, it often comes with limitations in terms of application architecture functionality and requires provider lock-in. The Infrastructure as a Service (IaaS) model may sound like a solution to these problems by enabling application development freedom; however, it necessitates operation at the lower level of virtual machines and snapshots. In this chapter, the authors present CloudScale: a low-overhead middleware framework that migrates Java applications seamlessly to the Cloud with minimal changes in the application code. They focus on the main ideas behind CloudScale and its influence on solving Cloud software development and deployment problems with minimal overhead and Cloud-awareness required from developers.
Integrating Business Intelligence Services in the Cloud
Authors: Herwig Volker , Friess Kristof
Published: September 2014

Business Intelligence (BI) solutions are among the popular applications that businesses demand in the Cloud. Although Business Intelligence functionality is already provided in the Cloud, vendors concentrate on providing existing products like Software as a Service, ignoring changing business and provisioning models of software. Business Intelligence functionality provided in the Cloud is lacking important integration features needed by other Cloud-based applications. While a simple upload of the data to be analyzed into a Cloud-based BI solution is already possible and well established, the visualization of the results and the interactive parts of the analysis are always provided inside the Cloud-based BI solution itself. However, as this chapter shows, common usage scenarios of integrated Cloud applications demand an integration of the analysis reports from BI applications into the user interface of other Cloud-based applications. This chapter describes how a fully integrated Cloud-based BI solution can collaborate with other Cloud-based applications. The technical concept illustrated with an example delineates how the required interface can be provided.
The Benefits and Challenges of Mobile Technologies in Education
Authors: Sonko Julius
Published: September 2014

As the world gradually becomes universally networked with digital cellular systems and wireless high-speed Internet connectivity, mobile technologies are increasingly also becoming more ubiquitous, with enhanced capabilities ideal for supporting learning. There can be no doubt that mobile technologies are already playing a major role in education, especially since such technologies are more in tune with this fast-paced information age. This chapter examines the benefits and challenges of mobile technologies in education from the perspective of Sub-Saharan Africa. Because of the benefits that are exclusive to mobile technologies, the educational sector is gradually legitimizing the dissemination of education via such technologies. However, critics have not yet bought into the idea of disseminating education via mobile technologies because of the challenges related to such technologies. Nonetheless, the benefits seem to outweigh the challenges, and it is certain that mobile technologies are poised to be the future means for increasing education access in Sub-Saharan Africa.
Active Learning, Mentoring, and Mobile Technology
Authors: Newman Dianna L. , Lamendola Jessica M. , Deyoe Meghan Morris , Connor Kenneth A.
Published: September 2014

Educators are creating authentic settings that utilize active learning, mobile technology, and mentoring in efforts to promote students' success in developing 21st Century skills, motivation, and interest in STEM domains and STEM careers. Each of these approaches has been found to promote and transfer knowledge, as well as to develop problem-solving and communication skills in STEM. Little information, however, is available about the interactive effect of mobile technology and active learning in promoting learning in settings that use a hierarchical model of mentoring to promote the transfer of skills and knowledge. This chapter presents findings of a program that used mobile technology in active learning environments for five interrelated levels of an active, authentic environment, facilitated by mobile technology and hierarchical mentoring. Positive outcomes were documented at each level of participation; use of the mobile technology integrated within active learning settings supported by hierarchical mentoring increased learning in STEM content, skills, and affect.
Effectiveness of Using Mobile Technologies in Teaching and Learning
Authors: Yusuf Olalere Mudasiru , Lawal Bolanle Idayat , Oyewusi Mary Bose
Published: September 2014

This chapter examines the effectiveness of using mobile technologies in teaching and learning in a Nigerian university. The study explores the techniques that guide undergraduate students to learn with digital support from mobile devices and wireless communication during their classroom activities. This research focuses on mobile phones because of their accessibility to students and lecturers. The researchers investigate the types of mobile application used by students, the time spent on using the devices for learning, and the effectiveness of using mobile technology in teaching and learning. The research is a descriptive cross-sectional survey. Three research questions are raised, and the respondents are 100 undergraduate students of the educational technology programme. Frequency count, percentages, and mean are used for data analysis. It is revealed that students often use their mobile phones for academic purposes, and the academic performance of students can be improved through the use of mobile phones to solve classroom questions. The time spent on using mobile phones for the learning process is also unveiled, and recommendations are made based on the researchers' findings.
Mobile Technology and Learner Autonomy in Language Learning
Authors: Djoub Zineb
Published: September 2014

Mobile-Assisted Language Learning (MALL) provides learners with the chance to experience new learning modes that go beyond the classroom context, offering them more flexibility, learning choices in terms of language content, ways of its delivery, learning space, and time, thereby enhancing their learning autonomy. But how are English teachers using MALL? In the attempt to answer this question, a survey is carried out with a sample of 42 English teachers. The results show that the limited use of such devices is not likely to help the learners develop autonomy since it does not go beyond the objective of enhancing their knowledge of this language. This study also reveals learners' difficulties in using these devices, the skills needed, and the kind of support these teachers require. In light of these findings, a list of recommendations is suggested to enhance MALL.
Information Literacy and Lifelong Learning
Authors: Adeyinka Tella
Published: September 2014

Information literacy is regarded as the basis for learning in our contemporary environment of rapid and sophisticated technological change. As information and communication technologies develop rapidly, and the information environment becomes increasingly complex, educators are recognizing the needs for learners to engage with the information environment as part of their formal learning processes. The achievement of lifelong learning and making citizens become information literate is the target of many nations as far as millennium development goals and vision 2015 are concerned. This chapter presents a literature review on information literacy and lifelong learning pointing out the relationship between the two and their benefits, and finally, the chapter makes recommendations to improve both programs.
Effect of Pressure and Temperature of Solution Treatment on the Microstructure and Corrosion Resistance of AZ91D Alloy
Authors: Lu Hao Sheng , Yan Peng Fei
Published: September 2014

As-cast AZ91D magnesium alloy was solid dissolved at atmospheric temperature under different pressures (room pressure、2、3、4、5 and 6 Gpa) and under high-pressure (6 Gpa) at different temperatures (atmospheric temperature, 200, 400, 600, 800 and 1000 °C). The microstructures of the products were characterized by optical microscope and their corrosion resistance was investigated. The results show that increasing the solution pressure at atmospheric temperature has no obvious effect on the microstructure of AZ91D, but decreases the corrosion resistance. Increasing the solution temperature under the high-pressure can obviously improve the microstructure of the alloy, and markedly increases the corrosion resistance, especially over 400 °C.
Preparation of Adsorbent Composites Based on Bentonite/Sodium Lignosulfonate-g-AM
Authors: Yao Qing Xin , Liu Jun Xia , Tang Li Ping , Xie Jian Jun
Published: September 2014

Adsorbent composites comprising of bentonite/sodium lignosulfonate graft-polymerized with acrylamide (BLPAM) were synthesized. Results showed that the optimized preparation conditions within the experimental range were as follows: the mass ratio of acrylamide to sodium lignosulfonate was 14, the pH of the reaction medium was 4.0, the mass concentrations of the initiator and cross-linker were 0.45% and 0.30%, respectively. The Pb2+ adsorption capacity of the as-prepared BLPAM was 0.161mmol/g.
Study on Ni Catalytic Hydrogenation of Carbon Dioxide for Methane
Authors: Zhou Long , Ma Li Ping , Zi Ze Cheng , Ma Jun , Chen Jian Tao
Published: September 2014

Catalyst by different carriers prepared of carbon dioxide conversion sequence is: Ni/TiO2> Ni/γ-Al2O3> Ni/MgO > Ni/SiO2. Second metal, Co, Mn, Cu, La and Ce, was significantly enhanced the activity of methanation nickel-based catalysts in the carbon dioxide methanation reaction, but second metal of Cu was bad for the activity of methanation. The 10%Ni/Al2O3 and 2.5%Ce-10%Ni/Al2O3 catalysts were characterized by TG and H2-TPR，it was revealed to Ce which is benefit for reduce NiO reduction temperature and the optimal reduction temperature of the catalysts in between 400°C and 500 °C
Research on Impacting Loads between Metro Vehicles
Authors: Zhang Suo Huai , Wang Hai Ming
Published: September 2014

In order to research impacting characteristics of the trainset, the impacting model and governing equations are established, in which, the stiffness and nonlinear damping of a buffer, friction force between rail and the vehicles wheels is considered. The stiffness and nonlinear damping of the buffers used in the model is verified by testing results. By numerical simulation, it is found that when moving trainset impacts standing trainset, because the impacting force, stroke of the buffers located in impacting interface is the maximum, the buffers capacity must be large enough to avoid rigid impact. The impacting force, comfort and safety of moving vehicles or standing vehicles far from the impacting interface with the same distance are nearly same. The farer the vehicle is from impacting interface, the little the vehicles damage is, and the safer the passages are. When vehicles are more, the maximum impacting force is constant approximately; when vehicles are fewer, the maximum impacting force descends obviously. If vehicles are fewer, after impacting, it takes short time for trainset to stop.
One Detection and Diagnosis System of a Certain Ordnance Equipment Based on μC/GUI Embedded Graphic User Interface
Authors: Wang Han Bing , Xu Bing , Zheng Yuan , Liu Wei , Cheng Kan
Published: September 2014

Aiming at the problem of the lack of a type of ordnance equipment unit fault location method and based on μC/GUI embedded graphical user interface, a new detection and diagnosis system is designed, which integrates self-inspection, spare part detection, real equipment detection and teaching into one. The system adopts C8051F020 MCU and S3C2440 ARM9 microprocessor, combines the application of data acquisition, LCD touch control & display, serial communications and other technologies to build the hardware system, and constructs a new menu system based on μC/GUI.
Study on Prediction Deflection of at the Girder Midspan of Large Tonnage Gantry Crane Rigid Legs
Authors: Zhang Da Peng , Cheng Wen Ming , Cai Kun
Published: September 2014

It is the most important inspection index of the deflection value for the girder of gantry crane under rated load in the overall test. In the overall test for large tonnage gantry crane which prepared for experimental weight is very difficult at the site, or even impossible perform test. In the text, it is deduced the girder deflection curve equation where considering the effects of the leg bending moment to the girder deflection When the concentrated load is applied to the position of L/2,L/3 and 2L/3 of the girder. The girder deflection value can be obtained under small load at the position of L/2,L/3 and 2L/3 of the girder and the actual moment of inertia of the girder and two side leg can be obtained. In this way, the deflection of the large tonnage gantry crane are predicted through the data of the three-position method in the small load test. Three-position small load test method provides a practical and effective method for the prediction of the girder deflection of large tonnage gantry structure.
Dynamic Analysis of Electrical Control Components under Tank Gun Firing Impact
Authors: Wang Guo Hui , Zhao Bo
Published: September 2014

To acquire the dynamic characteristics of electrical control component under tank gun firing impact, the author simplified tank structure, combined the three-dimensional modeling software Solidworks and dynamics simulation software ADAMS, constructed a full vehicle dynamics simulation model of a main battle tank and simulated the firing of tank gun. The compare between experimental and simulated results proved the validity and reliability of this model. This set the foundation for the analysis of fault principles of fire control computer and its internal structure under the impact of tank gun firing.
Dynamic Sensitivity Research for the Spindle of High-Speed Grinder Based on the Artificial Neural Network
Authors: Chen Gui Ping , Wen Gui Lin
Published: September 2014

Three-dimensional parametric entity model was established for the high speed grinder spindle using Pro/Pragram in this article, the sample data of the artificial neural network model was obtained with the modal analysis performed by MSC.Patran/Nastran finite element analysis software, and the dynamic analysis model of high-speed grinder was established based on BP artificial neural network, the the modal analysis experiment of high speed grinder spindle and the sensitivity analysis of first-order natural frequency for design parameters were finished. Research shows that the dynamic characteristic of hollow spindle structure is much better than solid structure, compared with finite element model, BP artificial neural network model can realize optimization design and calculation of complex structure more quickly.
Design and Test Research on Voice Coil Actuator Used for Active Isolation Platform
Authors: Hou Jun Fang , Zhang Wei Hua , Jing Min , Wang He Ping , Guo Yong Chang
Published: September 2014

According to the actuating requirement of active isolation platform, magnetic circuit and moving coil structure of non-contact installing type of voice coil actuator was designed, and the magnetic filed of the working gap was simulated. A programmable current supply used for driving the voice coil actuator was designed and the circuit was simulated. Output force performance of the designed voice coil actuator driving by programmable current supply was tested. The test results indicate that the designed voice coil actuating system has excellent output force performance at low frequency band with good linearity and low noise and waviness. The measured output force coefficient of the voice coil actuator matches with the designed value, and the designed actuating system can meet the requirement of active isolation platform.
Numerical Simulation Analysis of Car Overtaking on SST Turbulence Model
Authors: He Yi Bin , Shen Qi Zhi
Published: September 2014

Thebased SST (shear strain transport) turbulence model combines the advantages of and turbulence models and performs well in numerical experiment. In the paper, the SST turbulence model is applied to model vehicle overtaking process with numerical simulation technology. The change graph of drag coefficient and side force coefficient are gained. Analysis of the phenomena is presented at the end.
Synthesis and Characterization of 3-Difluoroaminomethyl-3-methyl Oxetane and its Homopolymer
Authors: Li Huan , Pan Ren Ming , Wang Wan Jun , Zhang Lu Yao
Published: September 2014

3-Difluoroaminomethyl-3-methyl oxetane (DFAMO) was synthesized via the process of bromination, cyclization, ammonification, amino protection and fluorination with a total yield of 43% and GC purity of 96%. DFAMO was characterized by 1H, 19F, 13C nuclear magnetic resonance (NMR), fourier transform infra red (FTIR) and element analysis. The homopolymer of 3-difluoroaminomethyl-3-methyloxetane (PDFAMO), considered as energetic binder to be used in solid propellants and polymer bonded explosives, with a number-average molecular weight (Mn) about 3000 was synthesized via cationic ring-opening polymerization using boron trifluoride etherate (BTFE) as Lewis acid catalyst, 1,4-butanediol (BDO) as initiator and 1,2-dichloroethane (DCE) as aprotic solvent. The effects of BTFE/BDO feeding molar ratio and temperature of the polymerization reaction were discussed. The structure of PDFAMO was characterized by 1H and 19F NMR.
Impact Energy of Gas-Solid Flows
Authors: Zhu Hai Ping
Published: September 2014

The models for impact energies of gas-solid flows are proposed based on the governing equations of the flows, and then applied to investigate the energies of the gas-solid flow in a model blast furnace (BF). The kinetic energy, contact and friction energy dissipations, and energy dissipation from fluid – particle interactions are examined. The effect of solid flow rate on the energies is also studied. The results indicate that the distributions of the energies are related to the flow pattern of the solid flow.
Exergy Analysis of Energy Consumption for Central Air Conditioning System
Authors: Xia Xiao Xia , Zhou Nai Jun , Wang Zhi Qi
Published: September 2014

The energy consumption of several central air conditioning systems in summer was researched by the method of exergy analysis. Combined with actual example,the exergy loss of all the equipments and the exergy efficiency of three systems were calculated. The results show that the exergy efficiency of three systems is very low. Relatively speaking, the exergy efficiency of primary return air conditioning system with supplying air in dew point is highest. The equipment of highest exergy loss is air-conditioned room, while the exergy loss of surface air cooler is smallest. Based on this, several improvement measures were proposed to reduce exergy loss and improve exergy efficiency.
VRLA Battery SOH Estimation Based on WCPSO-LVSVM
Authors: Zhuang Hui Min , Xiao Jian
Published: September 2014

The correlation between operation parameters including coup de fouet and SOH was analyzed to choose the input parameters of the battery SOH estimation model, and then the battery SOH estimation model was made based on least square support vector machine (LSSVM). For more prediction accuracy and efficiency, the advanced particle swarm optimization (WCPSO) is used to optimize the parameters of the LS-SVM regression model. The battery SOH was estimated only with measured data (plateau voltage, discharge rate and temperature) of short time discharge, so it is efficient. The verification result shows that the WCPSO-LSSVM model can be used to predict the battery SOH, and the precision is above 93%.
Coat of Epoxy Resin Filled with Nano-Al2O3 and MoS2 Erosion Wear Resistance and Application
Authors: Yong Chen , Kou Kun Hu , Li Bin , Leng Jing Yan
Published: September 2014

Under the bad environment, high polymer wear-resistant material has more superior erosion wear resistant performance than metal. It can replace wear-resistant metal material partly. In this paper, high polymer wear-resistant coat has been prepared with the epoxy resin, low molecular polyamide, nanoAl2O3coupling agent. The shear strength and wear resistant test has been carried out under different elements content, and the test curve of coat is given. The results are analyzed. By the experiment result, the optimum coat formula is: low molecular polyamide content is 60% relative to E – 51; and the content of MoS2is 12%. The result shows that the coat erosion wear resistance is 9 times of 45# steel under the best recipe. The coat is used to repair a worn mortar pump impeller, and the effect is obvious.
Research on Radical Innovation Technology Forecasting Based on Technology Evolution Theory
Authors: Ping En Shun , Tan Run Hua , Liu Fang , Han Bo
Published: September 2014

Radical innovation (RI) is a high efficient technology innovation for modern enterprises to participate in market competitions. It’s the great significance to upgrade technology and enhance the capability of the independent innovations for enterprises. After the product technology system was decomposed, we can summarize the core functions and core technical subsystems and analyze the current technology evolution state of the product core technical subsystems. For the mature stage of the product, the radical innovation technology forecasting inherent basic law is revealed through establishing product technology system evolution process model for radical innovation based on technology evolution theory. The technology forecasting process of the magnetic cushion belt conveyor is taken as an example to validate the effectiveness of the proposed method.
High Temperature Cylinder Sleeve Design Research Self-Lubricating Materials
Authors: Zhou Hua Xiang , Zhou Zheng , Liu Jing Ping
Published: September 2014

Cylinder Liner design innovation goal is energy conservation. As the main friction parts engine cylinder liner, reducing friction energy is energy saving basic requirements. Materials research cylinder sleeve is one of the main cylinder liner saving research. Through the piston ring and cylinder liner surface friction dual material hard phase, self-lubricating phase, toughening phase analysis, select compatibility, high strength, heat resistance, good high temperature performance, ease of manufacture, price rational matrix material and an appropriate proportion of nanoscale hard material, self-lubricating materials, ductile materials, using appropriate methods cladding and processing, design developed high-temperature self-lubricating cylinder sets of advanced materials. The latest international high temperature, wear-resistant, self-lubricating materials research: modern nanoα-Al2O3+Ni-base alloy composite materials, Ti2B/Fe metal-ceramic composites, metals and ceramics NiCr-Cr3C2 particles CaF2 self-lubricating composite alloy powder material, NiCr/Cr3C2-WS2 self-lubricating wear-resistant materials were studied and found to TiC, Al2O3 is hard reinforcing phase, CaF self-lubricating phase, NiCr/TiC eutectic toughening phase, high-temperature self-lubricating wear-resistant nanocomposite, and Cr18Ni9 class alloy as base material, by laser cladding method enables conventional cylinder liners manufacturing technological breakthroughs, has practical value.
The Effects of Nano-SiO2 on the Chemical Composition of Layers on Aluminum Alloy by Micro-Arc Oxidation
Authors: Suo Xiang Bo , Qiu Ji , Ma Shi Ning , Wang Hong Mei
Published: September 2014

In this article, a nano-SiO2/micro-arc oxide composite coating layer was prepared on the surface of 7A52 Aluminum alloy by addition of SiO2 nanoparticles into the micro-arc oxidation electrolyte to enhance the performance of the formed oxidative layer. Then, the composite oxidative layer was characterized by X-ray Photoelectron Spectroscopy (XPS) to investigate its elemental and chemical compositions, as well as their respective distributions. The results revealed that at elevated temperatures resulted from micro-arc discharge, the SiO2 in the composite reacted with Al2O3 (the major content of the micro-arc oxidative layer) to form a new compound known as mullite. In addition, the contents of SiO2 and γ-Al2O3 in the inner layer of the oxidative layer were lower than those in the surface layer. This can be explained by the higher temperature in the inner layer which motivated the formation of mullite and α-Al2O3 from SiO2 and γ-Al2O3 respectively during the micro-arc oxidation process.
An Optimized Fabric Self Collision Detection Method
Authors: Zhang Xiu Lin , He Bing , Lin Xiao Dan
Published: September 2014

In order to deal with self-collision detection in fabric dynamic simulation, we provide a set of optimized strategies. In rough detection phase, we use the continuous normal vector cone method applicable to quad bounding volume tree. The method uses the normal vector cone information between every two sub-trees for the pruning, which can filter out more areas where intersection is impossible, thus can improve the efficiency of collision detection. In accurate detection phase, we provide a set of reasonable detection strategies for the primitives within the time step, which can enhance the efficiency of while effectively ensure the correctness of collision detection. Our method can effectively deal with self-collision in the dynamic simulation with the good sense of reality.
Design of Wireless Monitoring System for Electric Equipment Based on CC2530
Authors: Lee Zhao Hua , Wang Yu Duo
Published: September 2014

In order to monitor a wide distribution, quantity, long working hours for industrial electric equipment, this paper provides a solution based on Zigbee wireless sensor networks. The core CC2530 chip is the control center of the entire system, and holzer sensor is selection as a current sensor. Through the wireless network which is composed of terminal nodes, routing nodes and coordinator, the collected data is sent to PC terminal and displayed. The experimental results show that the wireless sensor network can effectively and reliably collect current harmonics of electric equipment and transfer to the PC terminal in time.
An Analysis of the Existing Problems of China's Coal Mine Safety Monitoring and Control System
Authors: Hu Xing Zhi , Wang Ji Kun , Li Xue Zhe , Li Jia
Published: September 2014

Coal Mine Safety Monitoring System is an important material guarantee for Coal Mine Safety Production. At present,most China's coal mines have established safety monitoring system, but in the use of safety monitoring system we've found many problems. In order to solve these problems ,our paper put forward some practical solutions. [1].
Abnormal Network Traffic Detection Based on Conditional Event Algebra
Authors: Sun De Gang , Yang Kun , Jing Xiang , Lv Bin , Wang Yan
Published: September 2014

Network anomaly traffic detection can discover network abnormal behavior and unknown network attacks. But anomaly detection system in current has the disadvantage of the high rate of false positives. Because the condition is not sufficient and high-order conditional reasoning cannot be computed, it leads inaccurate detection of abnormal behavior. In this paper, an analysis method for abnormal network traffic detection is presented. The method firstly applied conditional event algebra for abnormal network traffic detection of Denial-of-Service (DoS) attacks on the 10% trainset of KDD Cup 99 data set. Neptune attack, as an instance of DoS attacks, is used to illustrate this method. Firstly of all, introducing analyzes the attack process of neptune attack. Then, Selecting the most related features of neptune attack on KDD Cup 99 data set and summarizes the basic flow chart of neptune attack. Finally, applying this method for detection of Neptune attack, it can be found that this method can handle with high-order conditional reasoning under insufficient situation, and detect network abnormal behavior.
Analysis of the Measuring Model of Auto-Evaluation System of Railway Coupler
Authors: Huang Jin , Chen Si Han , Zheng Kai , Zhang Feng Hua
Published: September 2014

Due to the complex structure of railway coupler, the evaluation of coupler is always a difficult task for railway carriage inspection at present. Combining structural light scanning technology with movement mechanism, a coupler auto-evaluation system has been designed and realized. This paper emphasizes on analyzing the measuring model of the coupler evaluation system, and introducing the point cloud data processes for getting evaluation items. The system is more flexible and efficient than traditional detection method of coupler, and can meet the requirements of auto-evaluation items of coupler.
Research of Multi-Channel Vehicle Brake Performance Testing System
Authors: Yi Ze Quang , Nan Pan
Published: September 2014

For the outstanding problems of traditional vehicle foundation braking performance testing systems’ such as lacking of test & analysis methods, inflexible and not easy to carry, a multi-channel Vehicle foundation break performance testing system based on CompactRIO embedded platform and LabVIEW was developed. The system design concept and concrete implementation of the key technologies such as parallel acquisition and data transmission, large data processing and time-frequency noise reduction were all introduces in detail. Actual break test experiment shows the effectiveness and reliability of the system.
The Application Research of Data Mining in the Intrusion Detection
Authors: Liang Feng Lan
Published: September 2014

With the popularization of computer technology and application and popularization, the network technology has been widely used, the resulting network security issues are also increasingly prominent, to the network itself and the information system based on network constitutes the great potential safety hazard. This paper expounds the concept of intrusion detection and data mining, the commonly used invasion detection technology and models, and analyzes the application of data mining technology in intrusion detection system, to provide reference for the optimization and perfection of the network intrusion detection system and using for reference.
Fault Diagnosis of Some Equipment Based on BP Neural Network
Authors: Li Qing , Sun Da Lin , Zhang Li , Wang Xue Qian
Published: September 2014

Neural network has obvious advantages on dealing with the uncertain problems with a huge amount of data. Some equipment’s faults performance of such characteristics that the date is abundant, and failure phenomenon is not explicit and uncertain. Then, it leads to being hard to diagnose the faults through the traditional diagnosis method in a short time. This paper will analysis the data feature and then build a model to deal with the qualitative data attributes in order that the BP network can use it smoothly. Calculation result shows that using this method, fault diagnosis can be simply and quickly. The paper also provides a new kind of composite way to figure out fault positions for the front-line operators based on experts’experience knowledge but not on measurement signals.
Research on Decoding Scheme of SGs Interface in LTE Network Monitoring System
Authors: Wu Rui , Zhang Zhi Zhong
Published: September 2014

In order to achieve decoding monitoring program in SGs interface, the paper analyzes the fundamental concept, network architecture and the advantages of CSFB in LTE network at first, then introduces the significance of SGs interface in CSFB. Using traversal method to decode the message of SGs interface and to achieve the monitoring of signaling messages in the playback platform, and lay a foundation for the further CDR synthesis at the same time. Finally, combined with the current network data, it’s verified the usability and operability of this scheme. It’s confirmed that the test result is correct, and the effect is good.