bluuebunny/crossref_metadata_2025 huggingface dataset:
Acceleration Response in Determining Vehicles Objective Driveability Assessment
Authors: Machmudi Isa Isa Yassir Arafat , Zainul Abidin Mohd Azman , Mansor S.
Published: October 2014

Vehicle driveability defined as smoothness of a vehicle operation at the will of the driver under all driving conditions. Driveability evaluation is conducted by giving subjective rating based certain test standard procedures. A group of test evaluators performed driveability test and gave individual rating based on subjective feeling. After discussion, a final overall rating is generated with consensus from all evaluators. Human subjective rating can be inconsistent due to physical health condition and individual preferences.Vehicle's acceleration profile can be associated with second order response. Every acceleration profileshas specific damping factorandnatural frequency.A study is conducted to determine the possibility of using second order parameter to setup an objective driveability assessment. Test vehicles with different acceleration conditionsare evaluated to determine driveability subjective rating. Acceleration profile for each vehicles is analyzed to determine its damping factorand natural frequency. A relation of damping factorand natural frequency with subjective driveability rating is established. The established relation of driveability is essential in providing guideline for future ECU calibration and tuning.
Comparative Study of Properties and Engine Performance Using Blend of Palm and Coconut Biodiesel
Authors: Habibullah M. , Masjuki H.H. , Kalam M.A. , Ashraful A.M. , Al Mahmud K.A.H. , Mobarak H.M.
Published: October 2014

Now-a-days the demand of alternative fuel is continuously increasing all over the world due to the rapid depletion of fossil fuel and increased global demand. Biodiesel is renewable and sustainable energy source derived from vegetable oils and animal fats which can be the best substitute of fossil fuel. This paper investigates the property of different biodiesel such as palm, coconut and their blends with conventional diesel also analyzed the engine performance like engine break power, speed, break specific fuel consumption (BSFC), torque in diesel engine. In this paper 20% palm biodiesel with diesel (P20), 20% coconut biodiesel with diesel (C20), 30% palm biodiesel with diesel (P30), 30% coconut biodiesel with diesel (C30) and combination of 15% palm biodiesel and 15% of coconut biodiesel with diesel (C15P15) were used for study. Biodiesel was produced by using transesterification process. The density and kinematic viscosity for C15P15 fuel is slightly higher and flash point is slightly lower than diesel fuel as well as others two biodiesel blends whereas pure palm oil biodiesel shows the higher flash point and acid value. Engine performance test was carried out at 75 kg load condition with variable speeds of 1400 rpm to 2000 rpm at an interval of 200 rpm. Engine brake power produced by mixed biodiesel (C15P15) is slightly lower than the fossil diesel but slightly higher than biodiesel (only palm or coconut). Engine torque produce by the mixed biodiesel is almost the same with the fossil diesel but higher than the others biodiesel blends. Engine brake specific fuel consumption of mixed biodiesel is slightly higher than fossil diesel but lower than others existing biodiesel. It can be reported that the fuel C15P15 showed better performance and can be used as fuel alternative to diesel fuel to reduce the greenhouse gas emission and dependency on crude oil.
Pre Crash Wheel-Locking Braking System
Authors: Joon Chong Woi
Published: October 2014

Nowadays, most of the passenger cars are equipped with anti-locking brake system (ABS) in order to provide better safety protection to vehicle occupants. Despite its advantages, it has been reported in the public domain that the ABS could be one of the causes in fatal frontal/rollover crashes on dry roads. This paper is first attempting to reveal the shortcomings of ABS that lead to high fatality rate. Then, in order to overcome these ABS shortcomings, a potential system called pre crash wheel-locking braking (PWLB) system is conceptually proposed. The PWLB system works by locking both front and rear wheels simultaneously that based on speed and distance between the leading and the following vehicles. With this PWLB concept it is expected that braking effect during the vehicle crash up to 2.5 meter before reaching to the occupants can be maintained. As a result, it can provide maximum braking force and improve ability to steer to the vehicle before crashing with the leading vehicle.
Effect of Ethanol-Coconut Oil Methyl Ester on the Performance, Emission and Combustion Characteristics of a High-Pressure Common-Rail DI Engine
Authors: How H.G. , Masjuki H.H. , Kalam M.A. , Teoh Y.H.
Published: October 2014

The effects of using ethanol as additive to biodiesel-diesel blends on engine performance, emissions and combustion characteristics was investigated on a four-cylinder, turbocharged and high-pressure common-rail direct injection diesel engine. Three test fuels have been compared: baseline diesel, coconut oil methyl ester (CME) with 20% of biodiesel by volume (B20) and 5% of ethanol and 20% of CME by volume (B20E5). The tests were performed in steady state conditions at 2000 rpm with 25%, 50% and 75% load setting conditions. The results indicate that higher brake specific fuel consumption and brake thermal efficiency is observed when operating with B20 and B20E5 blend. B20E5 blend shows reduction in smoke opacity, CO and NOx emissions compared to baseline diesel fuel. In terms of combustion characteristics, B20E5 shows slightly higher in both of the peak pressure and peak of HRR at low engine load.
A GA-Weighted Adaptive Neuro-Fuzzy Model to Predict the Behaviour of Magnetorheological Damper
Authors: Zeinali Mohammadjavad , Mazlan Saiful Amri , Abd Fatah Abdul Yasser , Zamzuri Hairi
Published: October 2014

Magnetorheological damper is a controllable device in semi-active suspension system to absorb unwanted movement. The accuracy of magnetorheological damper model will affect performance of the control system. In this paper, a combination of genetic algorithm (GA) and adaptive-network-based fuzzy inference system (ANFIS) approaches is utilized to model the magnetorheological damper using experimental results. GA algorithm is implemented to modify the weights of the trained ANFIS model. The proposed method is compared with ANFIS and artificial neural network (ANN) methods to evaluate the prediction performance. The result illustrates that the proposed GA-weighted adaptive neuro-fuzzy model has successfully predicted the magnetorheological damper behaviour and outperformed other compared methods.
Influence of Fuzzy-PID Controller on Semi-Active Suspension System Performance Using Magnetorheological Damper Fuzzy Model
Authors: Zeinali Mohammadjavad , Mazlan Saiful Amri , Abdul Rahman Mohd Azizi
Published: October 2014

Semi-active suspension system is a promising device to improve performance of the suspension system by using optimal controller for magnetorheological damper. The importance of magnetorheological damper is the capability to control the semi-active suspension system by adjusting the input current exerted to the coil of wire to produce magnetic field. In this paper, a fuzzy-PID controller has been applied in a quarter car semi-active suspension system to examine the performance of the system. The whole suspension system is modelled in Simulink environment/MATLAB software in which a neuro-fuzzy model of magnetorheological damper is utilized as a mathematical model of the damper. A disturbance profile is utilized to evaluate performance of the system. Simulation results show that the proposed semi-active suspension system has successfully absorbed disturbances much better than PID controller. In addition, the accuracy of the magnetorheological damper model influences the performance of the semi-active suspension system.
Effect of Two-Stage Injection Timing on a Gas-Jet Ignition CNG Engine
Authors: Ali Mas Fawzi Mohd , Khalid Amir , Kidoguchi Yoshiyuki
Published: October 2014

Compressed natural gas (CNG) engines normally operate in lean condition to take the advantage of higher efficiency and better fuel economy. Several studies have shown that gas-jet ignition with two-stage injection technique is effective to extend the lean combustible range of CNG engines. This paper investigates the effectiveness of such technique using a prototype lean burn direct injection CNG engine. The experiment was conducted at speed of 900 rpm, fuel injection pressure of 3 MPa, equivalence ratio φ=0.8, and ignition timing at top dead center. The effect of first injection timing on the test engine performance and exhaust emission was analyzed. The result shows that the first injection timing is crucial in determining the performance of the engine. First injection timings when the piston is near to bottom dead center produced relatively stable combustion. First injection timings when the piston is at midpoint produced misfire. First injection timings near the gas-jet ignition produced unstable combustion except at a certain timings which produced acceptable combustion with low hydrocarbon and carbon monoxide emissions.
A Preliminary Study on the Sound Absorption of Date Palm Fibers
Authors: Khidir Elwaleed Awad , Nik Mohamed Nik Abdullah , Mohd Nor Mohd Jailani , Tahir Mohd Faizal Mat , Zulkifli Rozli
Published: October 2014

In this study sound absorption properties of a single layer date palm fiber has been investigated. Experimental measurements were carried out using impedance tube at the acoustic lab, Faculty of Engineering, Universiti Kebangsaan Malaysia. A constant thickness sample was considered in this study.The results show that the values of absorption coefficient are small at low frequencies, rising with increasing frequency but exhibiting a significant peak. The low density of the sample is reflected in the overall sound absorption performance of the date palm fiber. An improvement in the sound absorption in the lower frequency range was achieved by backing the sample with air gap of different thicknesses of 10 mm, 20 mm and 30 mm. The increase in the air gap thickness moved the peaks toward lower frequencies and improved the low frequencies absorption. However, that increase coincided with reduction of absorption in medium frequency range and reduction in the absorption peak. A linear relationship was found between sound absorption peaks and the air gap thickness. The performance of the date palm fiber can be improved by increasing the density of the sample, using different sample thicknesses and adding perforated plates to the date palm fiber panel.
Technique for Hanger Location of Vehicle Exhaust System Using Finite Element Method
Authors: Noorazizi M.S. , Aminudin B.A. , Faraziah H.
Published: October 2014

A simulation technique using a finite element method (FEM) model for predicting, reducing and optimizing vibrations of the exhaust system was developed in this paper. This paper postulates the first stage in the design analysis of an exhaust system. Under excitation of the engine and road surface, the vibration energy of the exhaust system will result in the vibration of the body and produce structure noise transfers to the body from the hanger. These problems will effect or compromise noise, vibration and harshness (NVH) performance of the vehicle. A method called averaged driving DOF displacement (ADDOFD) is used to determine and optimize the exhaust hanger locations in this paper. Based on a sample vehicle, the HyperMesh and MSC Nastran software are adopted for meshing and calculation in the FEM modeling and vibration modal analysis of the exhaust system. Exhaust system’s free-free mode and sum of its eigenvectors are solved using MSC Nastran. Hanger locations are recommended at the position where the ADDOFD is relatively lower. Then static analysis and dynamic analysis of the exhaust system are performed, and finally hanger locations of the exhaust system are selected. When reasonable hanger positions have been decided, the vibration level of the body and the internal noise would have been decreased. This method can effectively select better NVH performance hanger locations in the earlier vehicle development process and can be extended to other types of vehicle, thus is effective for saving both the time and the cost of operation.
Series Plug in Hybrid Vehicle for Urban Driving Cycle
Authors: Mujianto Agus , Nizam Muhammad , Inayati
Published: October 2014

Urban area is the center of activities. Many people use the vehicle to cover the distance toward their activities places. In order to support the activities a large number of vehicles are moving in urban areas. Consequently, the consumption of fuel will increase from time to time and oil price has increased due to higher of demands. Thus, a plugin hybrid electric vehicle (PHEV) is proven as one of the best practical applications for transportation in order to reduce fuel consumption. One of the types of PHEV is a series PHEV (SPHEV). SPHEV is the simplest type of PHEV but still having higher efficiency of fuel than an internal combustion engine vehicle. This study was focused to discuss on the ability of SPHEV for covering distance and velocity of the urban drive cycle. Three driving cycles namely new European drive cycle (NEDC), extra urban driving cycle (EUDC), and EPA highway fuel economy cycle (HWFET) were used for the simulation using ADVISOR software to study performance of SPHEV. To achieve the best performance of SPHEV, the control strategy based on an artificial intelligence was purposed. The simulation was done by using SPHEV which consisted of15 kW battery, 41 kW engine, and 41 kW DC motor. The performance of SPHEV (fuel consumption and emission) was then compared to a gasoline engine vehicle (GEV). The results showed that SPHEV consumed less fuel and generated less emission during performing all drive cycles.
ASEAN NCAP Crash Tests: Modifier Assessment Justified
Authors: Syazwan Solah Mohd , Azhar Hamzah , Ariffin Aqbal Hafeez , Mohd Hafzi Md Isa , Mohd Khairudin Rahman , Zulhaidi Mohd Jawi , Paiman Noor Faradila , Yahaya Ahmad , Khairil Anwar Abu Kassim
Published: October 2014

ASEAN New Car Assessment Program (ASEAN NCAP) is a newly established automobile safety rating program in the Southeast Asia region, which the primary objective is to provide consumers with vehicle safety information and concurrently acknowledge manufacturers’ effort in elevating vehicle safety level. This information is comprehensively gathered through scientific and objective testing procedures in full scale crash test simulation. To ensure consistency and high repeatability, ASEAN NCAP operates standardized test and assessment protocols which utilize high-tech equipment and sensors, data acquisition system and also human surrogates (instrumented “dummies”). A point system is derived for marking purposes and a star rating scheme is designed to reflect the level of safety afforded to occupants. To cater for variation in crash configurations, occupants’ sizes and kinematics as well as other potential risks during crash impacts, a point deduction system (penalty-based) named as “modifiers” were introduced. Hence, this work attempts to describe the modifiers, their basis and justifications for inclusion in the safety rating scheme. A few case studies are demonstrated in this paper to enhance the understandings of modifiers concept.
The Prevalence of Child Restraint System Use among Children in Vehicles Equipped with Front Passenger Airbag in Kajang, Malaysia
Authors: Ariffin Muammar Quadaffi Mohd , Soid N.F. Mohd , Borhan Nurulhana , Sukardi A.
Published: October 2014

New cars are being introduced with front passenger airbags (PAB) as a standard safety feature. Airbags are designed to reduce vehicle occupant injury in the event of a collision. In order for airbags to be effective, occupants must be restrained while travelling in vehicles. Children are often seen unrestrained while travelling in vehicles throughout Malaysia. Studies have shown that unrestrained children are exposed to higher risk of injury in a crash involving PAB deployment, compared to those who are restrained. The intended life saving benefit of PAB may be negated if child occupants remain mostly unrestrained. The objective of the study is to determine the prevalence of child restraint system (CRS) use in vehicles, especially those equipped with PAB. To realise this, an observational survey was conducted at selected day care centres in Kajang, to determine the use of child restraints among children aged six and below, child seating position, driver seatbelt use and availability of PAB. The study was performed in the first half of 2012. A total of 537 children aged 6 and below were observed. 51.4% of the children were seated in the front passenger seat, 45.3% were seated in the rear and 3.3% were seated on the driver’s lap. 13.3% of children seated in front seats were restrained, compared to 4.9% of those seated at the rear. Children were 4 times more likely to be restrained if the drivers were belted compared to those who were not. In vehicles equipped with PAB, 11.2% of children seated on the front seats are restrained, while in vehicles without, 17.1% were restrained. The restraint use among children is low and the presence of PAB does not have a significant effect on the use of CRS. There was a significant association between belted drivers and restrained children. The low CRS use is expected as the current legislation does not specifically mention the requirement for children to use CRS while travelling in vehicle, even if the vehicle is equipped with PAB.
A Review on Crowd Sourcing Geo-Social Related Big Data Approaches as Solution to Transportation Problem
Authors: Mohamed Abdullah Zawawi
Published: October 2014

In order to develop an efficient and safe road there are many methods have been implemented to measure the volume of traffic, to evaluate the road safety level and the others. However based on current practices these methods are very costly as well as complicated. In this paper we present the outcomes of the evaluation on several geosocial networks and transportation networks such as Twitter, Google Map and Waze. The evaluations have been done on the architecture, data inputs and outputs. These findings may give an overview on how all these methods work and how the outputs might be used to improve future road planning.
Selection of Materials in Designing Magnetorheological Brake
Authors: Hamdan Lailatul Hamidah , Mazlan Saiful Amri , Sarip Shamsul , Zamzuri Hairi , Rahman Mohd Azizi Abdul
Published: October 2014

The braking system is among the most significant active safety systems in a vehicle application for preventing injuries and property damage. Whether for light or heavy vehicles, brakes are no longer a small issue whereas it becomes a crucial problem to maintain the safety and to avoid the unpredictable cases especially on the road. Advanced technology in automotive industry has produced a new coming design of Magnetorheological (MR) brake which a field change is triggered off by changing the current in the coils exciting the magnetic field. MR fluid is one of the members of smart material which applicable usage to achieve the standard of rotary high speed similar as the existing brake disc in hydraulic system. A new MR brake disc was proposed using the squeeze mode rather than only conventional mode at the upper and lower rotating rotor. Parameters that have been considered are the types of MR fluid, selection of magnetic material, non-magnetic material and coil configurations. Then a finite elements analysis was performed to analyse the result of magnetic circuit and magnetic field strength within the MR brake configuration. MRF-140CG has been selected to represent the fluid to enhance the maximum magnetic flux density. The results showed that AISI 1020 and Stainless Steel 316 meet the requirement of material selection of magnetic and non-magnetic. Indirectly, yield stress has been significant increase when the magnetic field strength rises at certain value. Therefore, intention on design innovation of MR brake is useful to efficient control by upgrading function of those parameters which has been presented.
Analysis of Mixture Formation and Flame Development in Biodiesel Burner Combustion Using Direct Optical Visualization Technique
Authors: Khalid Amir , Anuar M.D. , Sies Mohamad Farid , Manshoor Bukhari , Zaman Izzuddin , Adam Abdullah , Rizalman Mamat
Published: October 2014

Despite years of emission-reduction attempts, biodiesel combustion still have problem of emitting NOx, CO and particulate matter (PM) into the atmosphere. To reduce emissions, the improvements throughout the combustion process have been considered with the enhancement fuel-air mixing. Optical visualization technique is very essential due to its ability to record real time color image of fuel-air premixing and flame development during burning process. The purpose of this study is to determine the relation between mixture formation and flame development of burner combustion using optical visualization technique and image processing technique. Blending of biodiesel ratio was varied from 5 vol% (B5) – 15 vol% (B15). Water content under emulsified biodiesel was varied up to 15 percent, and equivalence ratio from 0.6 to 2.0. The real spray image of emulsified biodiesel and different equivalence ratio were captured by direct photography method together with color digital camera. The images of the spatial distribution of fuel-air mixing and natural flame luminosity will be further analyzed and to obtain information of the flame development in order to understand the influences of fuel-air premixing on combustion process and burning process. Analysis of spray evaporation and observations of combustion process reveal that the mixture formation exhibit influences to the ignition process and flame development.
Design of Logistics Management System Based on Workflow
Authors: Tang Jin Peng , Li Ling Lin
Published: October 2014

The existing logistics management systems can not meet the needs of business change and reorganization. In view of this situation, put forward a logistics management system based on workflow. This system used logistics enterprises busyness process as the core, and organizes the logistics business by the workflow, improve the logistics management level and work efficiency. The system has characters of flexibility, scalability.
Passenger Flow Prediction of Exhibition Based on ARMA
Authors: Chen Ling Ling , He Pei Hua , Cao Lei , Liu Shu Guang , Liu Dan Ping , Jia Yun Jian
Published: October 2014

In this paper,the means of WiFi was used to access to mobile phone MAC address to get passenger flow data and existing prediction methods were compared. Then N6 of Chongqing International Expo Exhibition Center was taken as the object of study and 5min was taken as the time interval to count N6 hall passenger flow from 9:00 am to 17:00 pm of 5 open days to obtain time series. At last, ARMA model was established to predict passenger flow of short time. The results show that the mean we use in this paper has high accuracy of prediction, MAE is 2.8771,and the means can be used for the passenger flow prediction of exhibition well.
Research and Development of Power Dispatching Management System Based on Transmission, Distribution and Marketing Data Integration Platform
Authors: Huang Yun Sheng , Xu Xian Feng , Zhao Wen Bo
Published: October 2014

Marketing and Distribution Information Integration Platform (MDIIP) is the key point of informatization work for power companies. On this basis, the pater proposes a solution including overall architecture, function composition and system features etc. for Power Consumption Dispatching Management System (PCDMS) based on Transmission, Distribution and Marketing Data Integration Platform (TDMDIP). The system realizes the automatical combination of transmission, distribution and marketing model (TDM Model) and longitudinal interconnection of network topology, and effectively interacts real-time monitoring analysis features with daily operation management businesses. It not only expands the dispatcher’s view, but also improves intellectualization level of dispatching daily business.
A Dynamic Load Balancing Method with Available Bandwidth Information
Authors: Lv Ning , Zhou Jing Li
Published: October 2014

Network striping is a well-known technique that can transparently utilize parallel, redundant links in order to improve the performance and reliability of the network interface. However, most of existing scheduling schemes designed for load balancing do not consider the factor of available bandwidth of multi-link. To overcome this disadvantage, in this paper, we propose a novel method called Available Bandwidth based Dynamic Load Balancing (ABDLB) to address this issue. Using available bandwidth obtained by periodically probing, at the host, packets are proportionally allocated to multiple links according to the probed results. The simulation results demonstrate that our proposed algorithm achieves better performance than traditional scheduling methods.
The New Media Influence Ranking of Provincial Satellite TV Based on Fuzzy Math Method
Authors: Bin Zhang , Xu Lei , Chen Ya Ran , Liu Zheng Zheng
Published: October 2014

With the rapid development of various media forms in modern society and the rise of various means of communication, the media pattern has already had dramatic changes. Increasingly convenient means of communication have brought a large amount of information for the mass public and the society. To help the public better analyze the current situation and trends in the media industry, we have proposed different rating systems for different segments of the media industry, and then we give each system corresponding emphasis and calculate its assessment index, and finally use the ranking list to present an objective analysis of the results. A set of precise rating system has been established based on the method of fuzzy mathematics and analytical hierarchy process in this paper. The target field of broadcasting and television is ranked accurately according to the ranking system combined with the advice of the senior in the media industry and researcher. The result of the ranking can make a reference to the current situation and trend of broadcasting and television industry and make a long-term guide for future planning and development of the industry.
Fast Image Retrieval Based Weighted Color AutoCorrelogram and LSH Indexing
Authors: Sun Jian Fei , Qu Zhi Yi , Wang Kun Yu
Published: October 2014

With the Rapid Development of Internet, Image Retrieval is more and more Important,For Image Retrieval, it Requires Not only a Real-Time Retrieval Speed but also the Accuracy of the Results.The Method Described in this Article: Firstly,We should Quantify the HSV Color Space of the Image Non-Uniformly,and then Extract the Weighted Color Autocorrelogram ,and Finally Build an Indexing Library Based Locality-Sensitive Hashing.The Method Successfully Solves the Problem of Dimension Disaster.With Different Scales Image Datasets，the Experimental Results Show that the Method can Retrieve Similar Images Quickly with the Suitable Parameters Selected.
Problems of KDD Cup 99 Dataset Existed and Data Preprocessing
Authors: Wang Yan , Yang Kun , Jing Xiang , Jin Huang Long
Published: October 2014

KDD Cup 99 dataset is not only the most widely used dataset in intrusion detection, but also the de facto benchmark on evaluating the performance merits of intrusion detection system. Nevertheless there are a lot of issues in this dataset which cannot be omitted. In order to establish good data mining models in intrusion detection and find the appropriate network intrusion attack types’ features, researchers should have a well-known understanding on this dataset. In this paper, first and foremost we have made an in-depth analysis on the problems which the dataset are existed, and given the related solutions. Secondly, we also have carried out plenty data preprocessing on the 10% subset of KDD Cup 99 dataset’s training set, giving better results to the following process. What’s more, by comparing 10 common kinds of data mining algorithms in our experiment, we have analyzed and summarized that data preprocessing plays a vital role on the performance and importance to data mining algorithms.
Cluster-Gossip Based Distributed Kalman Consensus Filter Algorithm with Energy Efficiency
Authors: Yang Chun Xi , Sun Chao , Fan Sha , Wu Ning
Published: October 2014

According to these constrains that wireless sensor networks are composed of many wireless nodes with limited power, a new energy efficient cluster-based distributed consensus kalman filtering algorithm is proposed in this paper. In this algorithm, each cluster contains a cluster-head and some member nodes where the cluster-head is used to fuse data which come from member nodes and consensus process between neighbor cluster-head. This clustering method divide wireless sensor networks into two classes of networks: cluster units network and cluster-heads network. In this way, numbers of information transmission among nodes are reduced efficiently and communication distances among nodes are also shortened. As a result, node’s energy in wireless sensor network can be saved greatly. Moreover, Gossip algorithm is introduced to deal with the consensus problem between cluster-heads for improving power consumption and the convergence analysis for the algorithm which is given by applying to graph theory and matrix theory. Finally, a simulation example is given to show the effectively of our method.
Bias in Amplitude Estimation of a Sine Signal with Known Frequency due to the Rounding Quantization Noise
Authors: Tian Yuan , Luo Jie
Published: October 2014

Based on properties of quantization, a method is proposed to derive the bias in amplitude estimation of a sine signal with known frequency due to quantization noise by the rounding quantizer. For a selected quantization unit, the bias oscillates and decays with the signal amplitude, and the period of oscillation is just the quantization unit. Different quantizers may contribute to different biases. A comparison with the bias due to the rounding-down quantizer shows that the difference between them depends on the signal amplitude, and it tends to be small as the signal amplitude increases, not monotonically. Therefore, by choosing appropriate quantizer and quantization unit, the bias in estimated amplitude due to quantization noise will be decreased.
Study of SnO2 Gas Sensor Accelerated Degradation Test
Authors: Yuan Hui Juan , Li Jun Zhong , Su Zi Mei , Zhang En Jing , Yang Ying , Hu Dan Dan
Published: October 2014

According to the reliability assessment of the SnO2 gas sensor, an accelerate degradation model was established by using temperature as the accelerated stress, the constant stress accelerated degradation testing (CSADT) was designed and conducted. The reliability of SnO2 gas sensor under the normal stress level was assessed based on pseudo life.
A Low Power Reference Buffer Used in High-Speed High-Precision Pipelined ADC
Authors: Xu Ming Yuan , Yao Shui Qin , Li Liang , Huang Xing Fa , Shen Xiao Feng , Chen Xi
Published: October 2014

An analysis of the output impedance of the reference buffer for pipelined ADC is presented is this paper. To achieve high performance of the reference buffer, damping network has added in. The output impedance of buffer amplifier is made equal to the resistance of the damping network. As a result, the effective impedance is made independent of frequency. Spectre simulation with 14-bit 250MSPS pipelined ADC loads, the results show the settling time can be achieved 1.2 ns with 0.0023% precision, and the noise floor per bin is-114dB with the power consumption is 42.3mW. The reference buffer can meet the requirement of 14-bit up to 800MSPS pipelined ADC.
A Novel Three-Phase Current Source Active Power Filter
Authors: Xiong Yu , Li Yu Ling , Guo Yan Ping , Yang Bo
Published: October 2014

A novel topology for efficient utilization of parallel inverters as current source active power filter (APF) for high-power applications is presented and analyzed. The proposed technique operates the master inverter with high-power low-switching-frequency devices to compensate the low-order large-amplitude current harmonic components and the slave inverter with low-power high-switching-frequency devices to compensate the high-order small-amplitude current harmonic components. This paper discusses the operating principle, main circuit and control system design. Simulation and experimental results are provided to demonstrate the viability of the scheme.
The Decision-Making Method of Web Services Composition Based on Action Patterns of Open Fuzzy Petri Net
Authors: Fang Xin Jian , Fang Xian Wen
Published: October 2014

In the word of service-oriented architecture and collaboration, it is important to deal with sub-services of cooperating components. In existing research, functions to meet and behavior predictability are two major aspects of Web services composition, but there are some limitations to treatment of behavioral constraints. Based on an open fuzzy Petri net, by using action patterns of behavioral profile, the paper analyzes behavior constraint under the condition that subnets composition are satisfied, puts forward a kind of method of deciding the composability of the subnets. Finally, the theoretical analysis and simulation results show the effectiveness of the method.
Signal Demodulation of High-Temperature LPFG Strain Sensor Based on Arrayed Waveguide Grating
Authors: Zhang Shao Jun , Liu Yue Ming
Published: October 2014

Among all the kinds of optical fiber sensors, FBG and LPFG become the main current owing to its features and advantages. LPFG sensor is especially suitable in high temperature sensing and stimulates more related research interests. The key point of LPFG sensing is the signal demodulation and processing. In this paper, signal demodulation of the LPFG strain sensor was studied based on Arrayed Waveguide Grating. The fabrication method and high temperature performance of this sensor were presented,and a novel strain signal demodulation method was presented based on Arrayed Waveguide Grating (AWG) device by equi-intensity cantilever beam. The experimental results demonstrated that the signal demodulation technology based on AWG has many advantages, such as simple structure, innovative and reliable performance.
A Behavior Retargeting Algorithm Based on the Model
Authors: Song Jin Bao , Ye Long , Zhang Qin
Published: October 2014

This paper analyses the motion of animation with the methods of picking key points and predicting motion trace based on the particle filter for discrete particle track prediction theory. The behavior model has been built for the already existing animation character. During the research, the thesis realized using existed animation motion trace model to drive a similar figure and create a new animation.
A Method of Features Extraction Based on Fisheye Image
Authors: Zhang Bao Feng , Jiao Ying Kui , Ma Zhi Jun , Li Yong Chen , Zhu Jun Chao
Published: October 2014

In this paper, feature extraction algorithm based on spherical perspective projection model for the matching fisheye image is proposed. The fisheye image is mapped to the image plane through spherical mapping. Then the diffusion equation is formed by convolution of the image projection and spherical Gaussian function. The feature points of image are extracted based on the SIFT at the scale of spherical correlation function. Compared with SURF(Speeded Up Robust Features), more feature points in a shorter time are obtained.
Fast Display Algorithm of Large Map File Based on Memory Mapping File Technique
Authors: Jiang Dai Hong
Published: October 2014

This paper presents a Fast display Algorithm of large Map File based on memory mapping file technique, designing for reducing the number of pointer moves and the data in memory scheduling ,The algorithm uses a memory-mapped file access operation of a large-scale map file to resolve the problem of traditional file processing methods, which can not read more than 2G map image file; combined image pyramid technology to apply different resolutions depending on the display requirements map image, in order to achieve the purpose of roaming quickly. The experiment and analysis results show that the algorithm is able to achieve the best resolution real-time roaming of large-scale digital map.
Numerical Method for Solving Variation Problems in Mathematical Physics
Authors: Badriev Ildar , Banderov Victor
Published: October 2014

We consider one axisymmetric problem of the equilibrium position of a soft rotation shell. Generalized statement of this problem is formulated in the form of variational inequality with a pseudo-monotone operator in Banach space. To solve this variational inequality, we suggest the iterative method. This method was realized numerically. The numerical experiments made for the model problems confirmed the efficiency of the iterative method.
Research and Application of Improved Apriori Algorithm Based on Matrix
Authors: Liu Yuan , Lou Yuan Sheng
Published: October 2014

This article put forward a NCM_Apriori algorithm, which through compressing matrix and reducing the scan times to reduce the database I/O overhead, effectively improve the efficiency of association rule mining. At the same time in the process of generating association rules, computation is greatly reduced by using the nature of probability. And applies the algorithm to the mining of students' course selection system, which can provide decision support for colleges and universities.
Research on License Plate Recognition Based on Template Matching Method
Authors: Chen Hai Xiu , Ding Xiao Yu
Published: October 2014

With the rapid development of transportation, more application of computer, communication and intelligent detection technology appeared in transportation field. The license plate recognition system based on template matching is researched in this paper. The preprocessing to the image such as binarization, tilt compensation and edge extraction has been finished, and then the positioning and segmentation of image are realized. After the normalization to the image, the license plate recognition result based on template matching method is obtained through experiments.
The Analysis Spectrum of Austenite Transformation on Acoustic Emission Signals
Authors: Qin Hong Wu , Kong Ling Bo , Liu Dong Mei
Published: October 2014

There are the results of the acoustic emission (AE) signals spectrum modification during steel 30XGSA heating near the austenite transformation intervals. It is established in the AE signals spectrum during heating depend on steel phase structure. It makes possible the application of AE method for determination the austenite transformation borders. The critical points of austenite formations and austenite decay are based on heat treatment technologies. It is known, that there are phenomenon of steels properties modification without structure modification not for from phase transformation borders. This was very convenient for detecting the particles with foregone energy characteristics.
The Stability of Solution Set to η-Set-Valued Weak Vector Variational Inequality Problem
Authors: Jia Jing , Yin Shui Fang , Bu Chang Chang
Published: October 2014

In this paper, we discuss the upper semi-continuity of the solution to parameterη-Set-valued weak vector variational inequality problem. We show that the operator of parameterη-Set-valued weak vector variational inequality is not continuous, but it satisfiesν-semicontinuous andη-weakCpseudo-monotone. Our results generalize the previous results in the literature.
Waveform Analysis of a Transmission Line Pulse Generator by Use of Wavelet Transform
Authors: Liang Zhen Guang , Gu Xue
Published: October 2014

With good repeatability and simple structure, transmission line pulse (TLP) has been used in immunity test of integrated circuit and printed circuit board. A TLP generator is first manufactured and its output waveform is presented. By using wavelet transform, the waveform is denoised and discriminated to components inherent to system function and parasitic parameters. Frequency spectrum changed with time is also obtained by continuous wavelet transform of complex morlet. Decomposed damping oscillation component and high frequency component in instant frequency spectrum show influence of inductance in circuit on the waveform. Improvement of rising time and overshoot is achieved by change of probe connection with shorter grounding line.
A Modified DFT-Based Channel Estimator Using Dual-Tree Complex Wavelet Denoising for OFDM Systems with Null Carriers
Authors: Liu Wei Cai , Liu Yuan An , Liu Kai Ming , Guo Yu Meng
Published: October 2014

In this paper, we present a modified discrete Fourier transform (DFT)-based channel estimator for orthogonal frequency-division multiplexing (OFDM) systems with null carriers. Due to the channel leakage, the conventional DFT-based estimator has the problem of error floor. In order to suppress the leakage, we adopt the optimal leakage suppression method. Moreover, a novel denoising method based on dual-tree complex wavelet is proposed to further improve the performance. Simulation results show that the proposed channel estimator can effectively overcome the performance degradation caused by the leakage and additive-white gaussian noise (AWGN).
Compression Used in Qubits Distillation
Authors: Li Feng Zhi , Zhong Bo , Cao Lei , Wang Chao Ze , Jiang Zhi Di , Liu Wei Yue
Published: October 2014

Qubits distillation is used to extract key in quantum cryptography. However, it may transmit much data when two parities distill the keys via the synchronous light time and keys’ pulse position. In order to reduce the transmitted data, we compress the information by arithmetic code. In this paper, an improved qubits distillation has been implemented. It is shown through experiment results that the data compression rate of arithmetic code is about 0.13; the transmitted data with compression is less than that without compression. It is suitable for us to distill the qubits with the narrow bandwidth.
A Prediction Model for Equivalent Parameters of Cylindrical Fixed Joint
Authors: Kang Jun Xian , Wang Jun , Zhang Qiang , Liu Ao Xiang , Shu Qi Lin
Published: October 2014

To obtain a prediction model of the equivalent parameters of cylindrical fixed joint, a model based on the micro-element cylinder method was proposed. Although the model based on the micro-element plane method could achieve the goal we wanted to some extent, there was a limitation to the characterization of vector direction and microscopic angle of cylindrical fixed joint; the prediction model of equivalent rotating contact stiffness and equivalent axial contact stiffness based on the micro-element cylinder method was more consistent with the actual contact state of cylindrical fixed joint, consequently, it made up for the shortage of the micro-element plane method; finally, the prediction model was successfully applied in the project, and the feasibility was verified. A new effective way for solving the similar problem is opened up by the model and it also lays a theoretical foundation for the following study of dynamic characteristics.
Design of Marine Data Warehouse ETL System
Authors: Wen Wei Jun
Published: October 2014

ETL refers to the process of data extracting, transformation and loading and is deemed as a critical step in ensuring the quality, data specification and standardization of marine environmental data. Marine data, due to their complication, field diversity and huge volume, still remain decentralized, polyphyletic and isomerous with different semantics and hence far from being able to provide effective data sources for decision making. ETL enables the construction of marine environmental data warehouse in the form of cleaning, transformation, integration, loading and periodic updating of basic marine data warehouse. The paper presents a research on rules for cleaning, transformation and integration of marine data, based on which original ETL system of marine environmental data warehouse is so designed and developed. The system further guarantees data quality and correctness in analysis and decision-making based on marine environmental data in the future.
Aerodynamics Study of Flow Past Two Tandem Bluff Bodies at Low Reynolds Number
Authors: Zhao Guang
Published: October 2014

Aerodynamics of flow past two tandem bluff bodies is a critical problem in fluid mechanics. In this work, the flow over two circular cylinders with unequal diameters in tandem arrangement is numerical investigated using lattice Boltzmann method. The diameter of the bigger one is adopted as the characteristic length, the diameter ratio is fixed as 2, and the Reynolds number is 100. Spacing between two cylinders (scaled by the characteristic length) are varied from 0 to 3 characteristic diameter, and the effects of which on the flow patterns of such a system are studied. The results show that flow patterns behind two tandem unequal circular cylinders are significantly different from that behind a single one. Due to the downstream cylinder, two classic vortex interaction modes are observed, known as destruction interaction mode and construction mode.
Apply Emotional Tendency Analysis to Sina Microblog
Authors: Qiu Zhao , Zhou Lin Lin
Published: October 2014

In recent years, microblog has become one of the most popular social tools for the majority of Internet users. More and more people are actively sharing information with others, expressing their opinions on microblog. The microblog messages which they share usually have emotional tendencies, which are positive, negative and netural. In this paper, we judge emotional tendencies by analyzing sina microblog messages and focus on the calculation method of text emotional tendencies.
The Regular Pattern Analysis on the Temperature Stress of Reinforced Concrete Beams Strengthened with Carbon Fiber
Authors: Chen Yi Ming , Tian Shuai , Yan Yu Ting , Li Guang Bao
Published: October 2014

This paper deducing the analytical solution of temperature stress of reinforced concrete beams strengthened under the principle of compatibility of deformation. And we also analyze the influencing factors, such as elasticity modulus, thickness, coefficient of thermal expansion, the height of test beam, concrete mark and so on. The research shows that the elasticity modulus and thickness of the carbon fiber are the major influencing factors of temperature stress, the coefficient of thermal expansion and the height of test beam are the second influencing factors, and the influence of concrete mark is very tiny.
The Study of Siltation State Assessment Method of Urban Sewer Network Based on the Internet of Things
Authors: Jiang Cui Qing , Wang Rui Ya , Chen Fa Xiang , Wang Zhao
Published: October 2014

To provide siltation state information for dredging of urban sewer network, an evaluation method of siltation state based on data collected through the Internet of things is proposed. We present a data acquisition program, and use the adaptive weighted fusion algorithm as a data preprocessing method. Based on Manning formula, an assessment model of siltation state is established. The experiment proves that this assessment model of siltation state is effective for sewer network.
Curing Mechanism of C-Type Firming Agent Stabilized Sludges through SEM and FTIR Microscopic Analysis
Authors: Li Man Liang , Liu Yu , Wang Zhao Hui
Published: October 2014

The main objective of this research is to investigate curling mechanism and moisture-density properties of c-type firming agent stabilized sludges. First of all, the chemical analysis was performed to determine the chemical constituents of untreated sludges from different regions of China. Then, microscopic analysis with the Scanning Electron Microcopy (SEM) and the Fourier Transform Infrared Spectroscopy (FTIR) was performed on botht the untreated and stabilized sluges. In order to evaluate effects of agents on stabilized sludges, the moisture-density tests were performed and testing results were analyzed. Through this study, the following conclusions were made: 1) SiO2 and Ai2O3 are their major constituents which take 70~90% of the total mass of a sludge; 2) addition of vermiculite or DK Powders could significantly improve performance of the stabilized sludges.