bluuebunny/crossref_metadata_2025 huggingface dataset:
Top Spray Fluidized Bed Granulated Paddy Urea Fertilizer
Authors: Sivarao Subramonian , bin Said Md Radzai , Rostam Omar , Hafiz Mohd Zani , Hassan Luqman Hakim , Shaaban Azizah , Dimin Mohd Fairuz
Published: August 2014

Top spray granulation process is a common technique used widely in pharmaceutical, food and special chemical modification for fertilizer manufacturing. Nevertheless, there is still a lack of studies regarding to the description of controlled parameters with dynamic correlation in targeting to produce urea granules. Thus, this research was carried out to introduce the crucial applied process parameters using top spray technique for paddy urea fertilizer production.The acquisition process parameter readings were verified by obtained yield of urea granules (UG) which featured as an optimum particle diameter size from 2 mm to 6 mm with reasonable hardness (crush strength) in range 2.0 kg/granule to 4.0 kg/granule, these criteria were required as a slow - release mechanism during soil adsorption interaction in paddy field to reduce amount of fertilizer consumption. Three significant parameters have been selected namely as air inlet temperature, the viscosity of binder solution and rate of top spraying from starch liquid binder to generate greater UG size from wet granulation interaction with smooth coalescence and consolidation growth . The data classification was screened by One-Factor-at-a-Time (OFAT) 101 method and supported by 2 levels and 3 factors (23 ) of full factorial design for clear description to vindicate the critical parameter required during urea granulation using fluidized bed granulator corresponds to low energy consumption and economical process. The obtained parameter readings and findings of UG features were useful to be applied further for detail investigation on next stage regarding to agglomeration profile and mechanism using CCD camera and PDA monitoring devices.
Reduction of Rejection Rate for High Gloss Plastics Product Using Six Sigma Method
Authors: Kairulazam Che Ku Abdullah Che Ku , Hussain M.I. , Mohd Zain Zuraidah , Lutpi Nabilah A.
Published: August 2014

High gloss plastics part in injection molding industries were widely used in Malaysia. However the high rejection rate in this industries were major problem affecting the economic aspects. Therefore this paper presents an approach of implementing six sigma method to reduce the rejection rate in a plastic injection molding process for high gloss plastics part. Define, Measure, Analyze Improve and Control (DMAIC) methodology was applied as basis of the study. By using current process, the average of rejection is 40.6% and the aim of this study is to reduce the rejection rate to less than 10 % . All potential factors were taken into account to identify the significant factors. The improvement process was made base on the analysis output. This study was successful with increment in sigma level from 1.74 σ to 3.00 σ. .
Experimental Investigation on the Use of Bispectral Analysis in Detecting Nonlinear Faults in Hydraulic Machines
Authors: Somia Alfatih M.S. , Salman Leong M. , Hee L.M.
Published: August 2014

Bispectral analysis is one of the relatively more recent tools in signal processing used for detection and identification of higher harmonics in a signal. It is also acknowledged to be one of Higher Order Spectral Analysis (HOSA) effective tools for detecting nonlinear behavior in mechanical systems. In this study, vibration sources in a hydraulic machine which may have features of nonlinear behavior were investigated. An experimental study was undertaken to formulate a more sensitive and effective method using Bispectral analysis to diagnose cavitation in a centrifugal pump facility. Cavitation was induced on the suction side of the pump. The cavitation signal was analyzed with and without induced cavitation conditions at different locations on the pump, and analyzed using FFT and bispectrum methods. It was observed that bispectral analysis could be used as an early indicator of cavitation with changes for severity of cavitation.
Experimental Investigation on Dynamic Characteristics of Polypropylene Honeycomb Sandwich Structures under the Influences of Different Temperatures
Authors: Nagasankar P. , Balasivanandha Prabu S. , Ramachandran Velmurugan , Paskaramoorthy R.
Published: August 2014

The dynamic characteristics of the Polypropylene honeycomb (PPHC) sandwich composites have been investigated under various temperatures (30°,35°,40°,45°,50°,55°,60°, 65°,70°,75° and 80°C) and different orientations (0° and 90°) of the glass fibers in the composites. Since the thermal properties of the constituent materials (glass fiber, epoxy resin and PPHC core) of the PPHC sandwich composites are different and the in-plane effect of the composites varies with the two different orientations (0° and 90°) of the fibers, the variation of the loss factor under the various temperatures are also different for these orientations. A two stage layup technique has been used to fabricate the sandwich composite specimens. Impulse technique associated with the half power bandwidth method, has been used to evaluate the natural frequency and damping values of the sandwich composite under different temperatures.
R-Curve Modelling of Mode I Delamination in Multidirectional Carbon/Epoxy Composite Laminates
Authors: Wong K.J. , Gong Xiao Jing , Aivazzadeh Shahram , Tamin Mohd Nasir
Published: August 2014

In the present work, the mode I delamination behaviour of a quasi-isotropic quasi-homogeneous carbon/epoxy composite laminate with adjacent plies of 0o//45o is studied numerically. To describe the R-curve behaviour observed during crack propagation, a linear-exponential traction-separation law is proposed, where the fracture toughness and the increment in the fracture energy could be considered separately in the model. This model is then implemented in the finite element simulation of the delamination process in the composite laminate. Numerical results indicate that with the incorporation of the fibre bridging effect leads to a well-predicted force-displacement response of the composite laminates.
Optimization of Spot-Welds on Patchwork Blank for Hot Forming Process
Authors: Ahmad M. A. , Zakaria A.
Published: August 2014

Patchwork blank is usually comprised of two different thickness of HSS sheet metals spot welded on top each other. Designed to provide an increased stiffness, it is widely used in many structural formed parts. The correct number of spot-welds is important in terms of cost and safety. In this study, the effects of spot-weld locations on an automotive part called B-Pillar with patchwork blank design was investigated by numerical hot forming simulation. The spot weld was modeled as a rigid link between parent blank and additional blank. Throughout the forming simulation, maximum stress and formability of the part were monitored. The same procedure was repeated for different spot-weld number and location. An optimum number of the spot-weld was then determined by the onset of wrinkle disappearance. Performance of the optimized spot-weld part was validated by actual part.
Thermoluminescence Properties of Optical Fibers Doped with RE+3 (RE=Sm, Nd) Ions Subjected to X-Ray Irradiation
Authors: Refaei Azadeh , Wagiran Husin , Saeed M.A.
Published: August 2014

This paper describes the thermoluminescence properties of RE+3(RE=Nd, Sm) doped optical fiber SiO2 prepared by CorActive company in Canada. The samples were exposed to 6 MV X-ray irradiation at dose ranging from 0.5 to 4 Gy at hospital Sultan Ismail, Johor Bahru, Malaysia using the LINAC accelerator. After exposure and a certain delay of 12 h to get uniform control of thermal fading, the optical fiber TL yield was readout using a TL reader. The optical fiber demonstrated a linear TL response versus of the absorbed dose. The linearity increases with the increasing dose while in the case of Sm-doped optical fiber; the response is comparatively smaller than Nd-doped optical fiber. Also, the glow curve of RE+3 ions doped optical fiber is compared with the undoped fibers. The results exhibit that the glow curve peaks are shifted to higher temperature due to rare-earth doping. As the results indicate the TL response strongly depends on the doping type of materials. All these TL characteristics are proposing this commercial optical fiber very decisive TL material.
Effect of Fiber Loading on Tensile Properties of Cocoa Pod Husk Fibers Reinforced Thermoplastic Polyurethane Composites
Authors: El-Shekeil Y.A. , Sapuan S.M. , Haron M.
Published: August 2014

In this study, cocoa (Theobroma cacao) pod husk (CPH) fiber reinforced themoplastic polyurethane (TPU) was prepared by melt blending method using Haake Polydrive R600 internal mixer. The composites were prepared with different fiber loading: 20%, 30% and 40% (by weight), with the optimum processing parameters: 190°C, 11 min, and 40 rpm for temperature, time and speed, respectively. Five samples were cut from the composite sheet. Mean value was taken for each composite according to ASTM standards. Increase of fibre loading showed increase in tensile strength and modulus and decreasing trend of strain.
An Analysis of Key Factors for Quality Practices in the UAE’s Industry
Authors: Doulatabadi Mehran , Khalifah Zainab , Yusof Sha’ri Mohd
Published: August 2014

The success of practices with quality approaches are generally linked with certain key factors. Therefore, the purpose of the paper is to identify and analyze the factors that to be important in sustaining quality practices. The key factors were primarily identified and adapted through an extensive literature review followed by quality expert assessment. A survey questionnaire was then launched in matching identified factors with industry practices. The senior quality managers representing the each organization in the UAE made the unit of analysis of the study. Based on survey, eight factors have been identified as critical to quality practices. The developed critical factors should serve as a guide to those organizations in the region to sustain quality practices in their ongoing quest towards higher quality levels.
Application of Statistical Taguchi Method to Optimize Main Elements in the Residential Buildings in Malaysia Based Energy Consumption
Authors: Zahraee Seyed Mojib , Hatami Milad , Bavafa Ali Asghar , Ghafourian Kambiz , Rohani Jafri Mohd
Published: August 2014

Today energy consumption is one of the controversial issues in the world. The rapid growing world energy consumption has already increased concern about the supply problems, heavy environmental effects such as global warming, climate change and etc. One of the most users of energy is residential buildings that consume the biggest share of energy. Growth in population, rising demand for buildings together causes to increase the upward trend in energy consumption. Therefore, energy efficiency in buildings plays a significant role to decrease the environmental effect. The goal of this paper is optimizing the main elements which are window, ceiling and wall by considering the effect of uncontrollable factors such as humidity , temperature and pressure in residential buildings using statistical method namely Taguchi method (JMP 11 software). A two-storey house in Malaysia was selected to simulate by means of BIM application. Based on the result, the optimum energy saving will be achieved when the type of material which are used for wall ,ceiling and window to be Brick Plaster , Acoustic Tile Suspended and Single Glazed Alum Frame respectively.
Supplier Selection Problem: A Multi-Objective Model Considering both All-Unit and Incremental Discounts with Multiple-Item
Authors: Iskandar Ismed , Darestani Soroush Avakh , Ghavami S. , Azizi Amir
Published: August 2014

In supply chain management, supplier selection has a special importance. In this paper, a multi-objective model is developed based on decisions on quality, service level and cost of purchased goods. The difference of this research is to consider discount parameter into the model. A numerical example for three proposed suppliers is interpreted. The model has been solved in two steps: 1-single-objective, 2-multi-objective approach. According to Lpmetric solution, results can predict optimum selection of suppliers as well as the purchased goods amount. The results show that the single objective problem has better result than multi-objective function. This paper is organized by six sections: in next section, some previous studies and researches on supplier selection problem considering discount and non-considering discount have been discussed. In section 3, mathematical formulation of the supplier selection model considering all-unit and incremental with multiple-item is presented. In section 4, aLP metrics solution is dedicated. In section 5, a numerical example is given and the results are presented. Finally in section 6, conclusions of this research are discussed.
Knowledge-Based Genetic Algorithm for Multidimensional Data Clustering
Authors: Purnomo Muhammad Ridwan Andi , Saleh Chairul , Lagaida Reny Lituhayu , Hassan Azmi
Published: August 2014

In this paper, a new approach of genetic algorithm called knowledge-based Genetic Algorithm (KBGA-Clustering) is proposed for multidimensional data clustering . Basically, this method adopts knowledge of what called as appropriate cluster centre for a fixed number of k-cluster. The chromosome which has inappropriate genes will be penalised with maximum value to prohibit it in the next generation. The experimental result is also provided for KBGA-Clustering and Genetic Algorithm-Clustering (GA-Clustering) to present the performance. Based on the observation, KBGA-Clustering presents better performance and more optimum solution compared to conventional GA-Clustering.
Interdependency of Cleaner Production and Cleaner Application: Towards an Integrated Assessment on Appropriate Technology
Authors: Sianipar Corinthias P.M. , Dowaki Kiyoshi , Yudoko Gatot
Published: August 2014

Resources localization is one of the unique concerns of Appropriate Technology (AT) development. It has become a thought-provoking driver to related studies, meaning that there are wide-ranging opportunities to conduct researches, including ones on materials-related issues. Also, following the global concerns on environmental issues, assessment on environmental impacts imposed in AT life-cycle is interesting to be studied. Particularly, this study attempts to investigate potential impacts imposed by materials usage in AT. It is conducted by comparing and contrasting common approach in doing cleaner production to the implication of AT in providing cleaner application. This study aims to provide an integrated assessment framework for calculating environmental impacts from materials usage by incorporating the characteristics of AT life-cycle into account. The first finding points out the interdependency of cleaner production and cleaner application, meaning that there is a need of cleaner production in the manufacturing and construction process of any material/component/assembling in an AT; besides, the AT has to be designed to perform cleaner application, yet without reducing its performance and intention in localizing materials. Furthermore, the second finding pushes the first finding forward through an integrated environmental assessment diagram that covers materials production and application until the end of AT life-cycle, including disposal phase and predicted degradability of materials. By looking at common approaches that focused on the assessment of only cleaner production, this study is moving toward an integrated environmental assessment on an AT by covering both cleaner production and application to form a complete AT life-cycle assessment.
Development of Supply Chain Management Practices and Competitive Advantages in Manufacturing Industries: A Review
Authors: Ping C.H. , Zakuan Norhayati , Omain Siti Zaleha , Sulaiman Zuraidah , Saman Muhamad Zameri Mat , Ariff Mohd Shoki Md
Published: August 2014

Supply chain management (SCM) has become a critical challenge in the current economic globalization. An efficient SCM practices not only play a significant role in operational structures that produced and distributed products but is the keystone of competitive advantages. However, most of the manufacturing industries still unable to effectively utilize resources and implement appropriate strategies on SCM practices to improve organizations profitably growth, capacity and ability. Hence, this study purpose to identify the SCM practices and competitive advantages measure in manufacturing industries in order to determine the main adoption of SCM practices. Therefore, the study will focuses on six constructs of SCM practices that recommended from previous studies for measures the critical adoption: supplier partnership strategy, customer relationship, sharing the information, information quality, postponement and lean system. In addition, it is important to analyze the relationship between SCM practices and competitive advantages that may have influenced the organization performance. Subsequently, a conceptual model of the relationship between SCM practices and competitive advantages is developed.
Applications of Cubic Motion Curve
Authors: Mat Ghani Mohd Firdaus , Fouladinejad Nima , Mohd Taib Jamaludin , Dzakaria Afandi
Published: August 2014

Cubic motion is a curve that is generated by the integration of Cubic Spline and dynamic of motion. Cubic spline will draw the curve, whilst the dynamic of motion will position the vertices. This embedded motion attribute to the curve will have an advantage to study related to motion of vehicle. The objective of the paper is to demonstrate the advantage of motion attribute in the curve. It is demonstrated by two case studies. The case studies are simulation of traffic flow system and study of vehicle dynamic response.
Effect of Melt Temperature on the Interfacial Thermal Resistance and Solidification Behaviour of Al/SiCp Composites
Authors: P Gurusamy , Balasivanandha Prabu S. , Paskaramoorthy R.
Published: August 2014

The effect of melt temperature on the interfacial thermal resistance and solidification behaviour of A356/10% SiCp during squeeze casting is studied. The melt pouring temperatures are considered in the investigation within the range of 750 - 900°C respectively. The squeeze pressure is kept constant at 100 MPa. It was observed that the solidification time increased with the melt temperature from 40 seconds at 750°C to 51 seconds at 900°C. The results also showed that the cooling rate decreased with melt temperatures. The solidification time calculated from the theoretical expression was found to be in good agreement with that obtained from the experimental cooling curves. The interfacial thermal resistance value increases from 0.000043 to 0.000203 m2 K/W when the melt temperature is increased from 750 to 900°C.
Antibacterial Properties of Guided Bone Regeneration Membrane for Periodontal Applications
Authors: Saarani Nur Najiha , Jamuna-Thevi K. , Muhammad Ida Idayu , Hermawan Hendra
Published: August 2014

Guided Bone Regeneration (GBR) membrane is used as a barrier to prevent soft tissue ingrowth and to encourage bone regeneration through cellular exclusion. This study aims to assess antibacterial properties of recently developed three-layered poly(lactic-co-glycolic acid) (PLGA) /lauric acid (LA) composite membrane towards Staphylococcus aureus. One of the outmost layers of three-layered membrane was incorporated with 1-3 wt% of LA. The composite membrane was developed using thermally induced phase separation/solvent leaching technique. SEM results shows formation of PLGA matrix with smaller pores by the addition of 1 wt% LA compared with pure PLGA membrane. Samples of 1.7 cm diameter disk containing 1, 2 and 3 wt% of lauric acid were tested and pure membrane without lauric acid was used as a control. Results showed that the zones of inhibition were 2.3 cm and 2.5 cm for the 2 wt% and 3 wt% LA-containing membranes, respectively. However, 1 wt% LA-containing membrane observed to have no inhibition at all, indicating that increasing concentration of LA has significant inhibition against Staphylococcus aureus. The 3 wt% LA composition will be used in the mechanically optimized membranes for degradation studies in future works.
Selective ZnO Nanorods Hydrothermal Growth through Resist Patterning Method
Authors: Rashid Amirul Abd , Saad Nor Hayati , Sheng Daniel Bien Chia , Lee Wai Yee , Freddawati Rashiddy  Wong
Published: August 2014

Resist patterning method has been used to enable selective ZnO nanorods grown via facile hydrothermal process. The growth region of the ZnO nanorods was controlled by pre-coating the seed layer on the Silicon base substrate. Using the plasma process, the seed layer which is not coated with a resist layer will be etched out. Therefore, when the samples completely undergone the hydrothermal process, there will be no nanorods grow in that specific area. The grown ZnO nanorods was in well array with flat hexagonal tip and wurtzite crystal structure. This technique is can be applied for application which require integration of nanostructure in specific critical areas such as an interdigitated electrodes (IDE) for various gas sensor applications.
Effect of Heat Treatment on Tensile Strength and Microstructure of AZ61A Magnesium Alloy
Authors: Senthil R. , Gnanavelbabu A.
Published: August 2014

Magnesium alloys are the very progressive materials whereon is due to improve their end-use properties. Especially, wrought Mg alloys attract attention since they have more advantageous mechanical properties than cast Mg alloys. Investigations were carried out the effects of heat treatment on tensile strength and microstructure of AZ61A magnesium alloy. The AZ61A Mg alloy is solution heat treated at the temperature of 6500F (343°C) for various soaking timing such as 120 min, 240 min and 360 minutes and allowed it cool slowly in the furnace itself. Magnesium alloys usually are heat treated either to improve mechanical properties or as means of conditioning for specific fabrication operations. Special attention had been focused on the analysis of mutual relations existing between the deformation conditions, microstructural parameters, grain size and the achieved mechanical properties. The result after the solution heat treatment, showed remarkably improved hardness, tensile strength and yield strength. It would be appropriate for a forming process namely isostatic forming process.
Biofilm Green Packaging: Characterization and Biodegradation Studies
Authors: Ali Roshafima R. , Wan Abdul Rahman Wan Aizan , Kasmani Rafiziana Md , Norazana Ibrahim , Hasbullah Hasrinah , Sadikin Aziatul Niza
Published: August 2014

Low Density Polyethylene was blended with various contents of tapioca starch (10%, 20%, 30%, and 40%) with addition of compatibilizer, i.e. PE-g-MA and cooking oil as plasticizer. The blends were prepared by co-rotating twin screw extrusion process and characterized by melt flow index (MFI) analysis and tensile test. Tapioca starch based polyethylene biofilms were studied in term of biodegradability by fungi test. The increasing starch content to LDPE blend reduced the MFI values and tensile strength but in 30% and 40% of starch content in tensile strength is higher than control LDPE’s strength due to molecular orientation in sample. However, incorporation of PE-g-MA as compatibilizer increases the mechanical properties of starch based polyethylene blends due to the reaction between maleated PE and starch, thus improves adhesion and reduces slippage at matrix-filler interface. The increasing of TS also increase the water content in film sample, weight loss percentage in TGA, and percentage degradation of LDPE/TS blend film.
Pyrolysis of Solid Palm Waste Biomass with Microwave Absorber under Microwave Irradiation
Authors: Mushtaq Faisal , Mat Ramli , Ani Farid Nasir
Published: August 2014

Malaysian agro-industrial sector produces considerable quantity of solid palm waste biomass and potential exploitation of this waste residue is necessary for economic and environmental aspects. The Oil Palm Shell (OPS) waste biomass was subjected to multimode microwave pyrolysis at 2.54GHz with coconut activated carbon layers. The microwave power and N2 flow rate were varied to investigate its effects on heating profile, product distribution and bio-oil composition using fixed coconut activated carbon loading. The OPS surface and bed temperature, heating rate, pyrolysis product distribution and bio-oil composition was found dependent on microwave power and N2 flow rate. The highest bio-oil yield of 31 wt% was obtained both at 300W and 600W using 4LPM. The phenol content varied from 34.02-44.42% of GC-MS area with highest value at 300W and 8LPM. Bio-oil from this study also contained 1,1-dimethyl hydrazine of 7.04-13.01 % of GC-MS area.
Preferred Growth Orientation of Cementite Carbide by Phase-Field Simulation
Authors: Ramdan Raden Dadan , Suratman Rochim
Published: August 2014

A morphological evolution of the crystals growth has been investigated using two dimensional (2D) multi-phasefield (MPF) simulations. Cementite carbide growth is taken as an example in the present case, while concern is given in simulating the preferred growth orientation of the carbide. In order to evaluate competitive growth between carbide seeds, variations on carbide seed orientation have been implemented. In the present model, variation of the seed orientations are embedded on the interfacial energy, thereby the anisotropy characteristic of interfacial energy can be obtained. Simulation utilized homogenous grain orientation that less than the preferred growth orientation results insignificant grain growths (first case). In the opposite way, simulation utilized homogenous grains orientation that equal or more then the preferred growth orientation, results in the homogenous significant grain growth (second case). On the other hand, simulation utilized heterogenous grains orientation involving grains in the first and second case, results a competition growth that inhibit and diminish the grains in the first case. It can be concluded that the present simulations works can shows the existence of preferred orientation growth during grain growth phenomena including the growth of cementite carbide phase.
Mechanical Properties of Polylactic Acid/Treated Fermented Chitin Nanowhiskers Biocomposites
Authors: Mohd Asri Syazeven Effatin Azma , Zakaria Zainoha , Hassan Azman , Mohamad Haafiz Mohamad Kassim
Published: August 2014

The market share of biodegradable polymers from renewable sources has grown rapidly in the plastic industry. Properties of the polymers from renewable resources can be enhanced through blending and composite formation. Fermented chitin is a by-product in a bacterial prawn waste fermentation for protein recovery which has undergone mild chemical treatment producing treated fermented chitin (TFC). TFC was further acid hydrolysed to produce chitin nanowhiskers (TFCNW). The chitin nanowhiskers was used as filler in polylactic acid (PLA) through solution casting method. Atomic Force Microscopy showed TFCNW particles are uniformly dispersed in PLA matrix but tends to agglomerate as TFCNW loading increased. Tensile strength of the biocomposite film increased up to 12.4 MPa at 2 phr TFCNW which it decreased with further addition of TFCNW. The Young’s modulus increased with increasing of TFCNW content up to 3.69 GPa. However, elongation at break of the biocomposite film decreased by 66 % upon addition of TFCNW when compared to pure PLA.
Lubricity of Palm Fatty Acid Distillates at Various Rotational Speeds
Authors: Golshokouh Iman , Ani Farid Nasir , Syahrullail Samion
Published: August 2014

Lubricant oils play essential role in manufacturing processes for reducing friction and wear between contact parts at different speeds. Palm fatty acid distillate (PFAD) is a new source from vegetable oil and has potential as an alternative source of mineral lubricant oils. This study was performed at various speeds (800, 1200, and 1600 rpm) and at a constant load (392N), temperature (75°C), and time (1 h) using a four-ball tribotester. To evaluate the PFAD results, similar experiments were done using hydraulic oil, and the results were compared mutually. The results showed that the anti-friction, anti-wear, viscosity, and flash temperature parameter (FTP) of PFAD were higher than those of hydraulic mineral oil.
Analysis and Prediction of Surface Integrity in Machining: A Review
Authors: Gao Yuan , Huang Xin , Lin Ming Jie , Wang Zheng Guo , Sun Rong Lei
Published: August 2014

Surface integrity is widely used for evaluating the quality of machined components. It has a set of various parameters which can be grouped as: (a) topography parameters such as surface roughness, textures and waviness (b) mechanical parameters such as residual stresses and hardness, and (c) metallurgical state such as microstructure, phase transformation, grain size and shape, inclusions etc. Surface roughness and residual stresses are among the most significant parameters of surface integrity, so that it is worth investigating them particularly. Many factors affect the surface integrity of machined components, including cutting parameters, tool parameters, material properties and vibrations. We can make prediction and optimization for surface integrity by taking advantage of these factors. This paper reviews previous studies and gives a comprehensive summary of surface integrity in the following order: introduction of surface integrity, main parameters of surface integrity, factors affecting surface integrity, prediction and optimization for surface integrity.
Magnetic Actuating Alcolock Device with Double Plunger Solenoids
Authors: Zhou Qi
Published: August 2014

In order to construct a simply structured alcolock device for autocar steering safety, the plunger solenoid with the conical face pole form is utilized to fabricate a electromagnetic actuating unit with double plunger solenoids. The unit can generate a electromagnetic actuation with long travel to complete the coverage of auto start-up lock hole and hence to stop the vehicle launch; the magnetic actuation is controlled by using a alcohol sensing system, and the shutting function for starting-up lock hole is generated by a baffle installed at the top of plunger solenoids as the actuating control is started up on the basis of an alcohol sensing signal. The plunger solenoid with conical face pole form possesses the output characteristic of long stroke and steady stroke force.
National Economic Evaluation Model about Urban Public Transportation Structure Optimization
Authors: Wu Li Ping , Pang Chun Ping
Published: August 2014

Public transportation structure optimization makes the contribution to the national economy and also pays the price for it. We established national economic evaluation model about urban public transportation structure optimization using mutually exclusive combination schemes. The research can give effective guidance on the optimal decision for combination schemes of different transportation structure.
Thermal Analysis of Water-Cooled Permanent Magnet Synchronous Motor for Electric Vehicles
Authors: Wang Shu Wang , Zhang Yong , Hu Jun Ming
Published: August 2014

In order to study heat generation and dissipation of water-cooled permanent magnet synchronous motor in electric vehicle, the major energy loss was calculated and the finite element model for interior heat transfer simulation was established based on appropriate simplification and equivalent processing. The fluid-solid-thermal coupling simulation was accomplished by CFD method and the steady state temperature field of the motor under rated condition was obtained. The simulation is verified by experiment and gives an effective support in motor’s cooling system design.
Research on the Nonlinear Ultrasonic Testing of CFRP Based on Abaqus
Authors: Yu Sang Sang , Zheng Hui Feng , Cheng Wang , Tang Ting Hao
Published: August 2014

In order to overcome the limitations of conventional ultrasonic testing method to detect small defects of carbon fiber composite material, ultrasonic nonlinear detection method was proposed based on finite amplitude. Firstly the detection mechanism of finite amplitude method was studied, then the detection model was created, and ultrasonic nonlinear characteristics of carbon fiber composites was analyzed by finite element simulation, finally relative non-linear coefficients follow the change of defect length and width show that the finite amplitude method has a high sensitivity to detect small defects.
Efficient Electronic Seal System
Authors: Bao Xian Yu , Zhong Jian Zhong , Feng Qian , Guo Yun
Published: August 2014

This paper proposed an efficient electronic seal system based on Near Field Communication (NFC), which utilized by NFC mobile phone, RSA encryption, authentication and anti-counterfeiting validation. The system has the advantages of high security and low cost. In addition, the whole process of logistics could be supervised without special equipment. These lay a solid foundation for “release through” supervision of agricultural products supplied to Hong Kong.
A Miniature Cutting Tool for Elliptical Vibration-Assisted Turning: Design and Kinematical Analysis
Authors: Gao Yuan , Sun Rong Lei , Bai Wei
Published: August 2014

Vibration-assisted turning combines conventional turning with high-frequency, small-amplitude tool vibration to improve the machining quality of intractable materials like titanium and nickel alloys used in aerospace applications. Elliptical vibration-assisted turning is a kind of two-dimension vibration-assisted turning. The tool tip is driven in an elliptical locus. This paper illustrates a miniature cutting tool designed for elliptical vibration-assisted turning and proposes a set of general formulas by kinematical analysis. These formulas show the effects of different vibration parameters on the final elliptical locus, and these effects are verified using MATLAB at the end of this paper.
Automatic Counting System for Nuclear Track Based on DSP and Mathematical Morphology Algorithm
Authors: Pan Yi , Liu Liang Jun
Published: August 2014

Parameter measurement of the solid state nuclear track occupies an extremely important position in the field of nuclear technology while limitation of the traditional manual counting method is very large. In recent years, DSP and image processing techniques are increasingly applied in the field of nuclear technology. This paper describes an automatic counting system for nuclear track based on DSP image processing platform which uses DSP hardware platform and mathematical morphology algorithm. This system can effectively separate the track point from the background and remove noise, and also accurately count helping to reduce the visual error of manual counting.
An Improved Adaptive Threshold Skin Color Model
Authors: Di Hong Wei , Xu Wei
Published: August 2014

To solve the problem that traditional threshold segmentation model is not very robust in skin segmentation under different skin colors and different illuminations, an improved adaptive skin color model is proposed. This model detects the change rate of the skin color pixels by modifying the certain threshold while fixing others, then selects the optimum threshold adaptively. The experimental results show that this algorithm can effectively distinguish skin color regions and background regions, and has strong robustness on light disturbance.
Probabilistic Neural Network Southern Jujube Pest Stress Index Leaf Pigment Estimation Model Based Hyperspectral
Authors: Zhou Peng , Dou Xin Wang , Zhao Qing , Shi Ming Deng
Published: August 2014

Analysis jujube leaf rust pigment content and spectral reflectance correlation study comparing jujube leaf rust pigment content and differential spectral correlation. Hyperspectral characteristic parameters to achieve the southern jujube jujube leaf rust pigments PC1/PC2 and PC1+PC2 content estimation. Using a combination of linear and polynomial fitting method to construct the canopy hyperspectral disease dates Brix content estimation model and test. The probabilistic neural network PNN and SVM classifier SVC applied to hyperspectral estimation model, comparative analysis of model accuracy. The results of the quantitative estimation of disease hyperspectral information dates pigment content in leaves of jujube growing use of high spectral monitoring and impact assessment of disease have high practical value.
A New Radar Signal Sorting Method Based on Data Field
Authors: Jian Wan , Song Wen Ming
Published: August 2014

With the increasingly complex electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex, because scanning time of radar reconnaissance of each direction is very small, composition of the signals received are very complex, number of signals from different radar emitters differ greatly, traditional radar sorting methods can’t process the signals effectively. Aiming at solving the above problem, a novel radar multi-parameter signal sorting method based on data field and hierarchical clustering is proposed. Data field is introduced to reduce compute capacity and determine the parameters of hierarchical clustering. Hierarchical clustering is known that can obtain multi-level clustering structure of different particle size, by which, we can get small number of radar signals drown in many radar signals. Experimental results show that method presented in this paper can sort radar signals in complex electromagnetic environment effectively.
A Compressed Sensing Improvement Algorithm Based on Power Quality Transient Disturbance Signal
Authors: Zhong Yi , Zhang Kai , Zheng Xin Juan
Published: August 2014

Traditional power quality signal samples are based on the Nyquist sampling theory. Because of the existence of disturbance signal for the presence of power, it requires two times higher than the sampling frequency of the original signal, resulting in many problems, such as a high cost of hardware. Compressed sensing algorithm abandoned the characteristics of Shannon theorem, using a lower sampling frequency and the less amount of the signal to reconstruct the signal, with the method of a loss compression, which can effectively solve this problem. A team in Beijing University of Chemical Technology has done a deep research in this direction and proposed the total variation gradient reduction algorithm, which has good effects on reduction. But the algorithm runs slower and needs higher sample volumes of signal. Therefore, this paper presents a modified algorithm based on Nesta algorithm to reduce the amount of data sampled of power quality signal, the complexity of the algorithm to improve the algorithm’s speed. The modified algorithm has a very important value in practical applications. This paper has carried out simulations in matlab, the results of the simulation show that this method is accurate and applied.
Research on the Simulation of Textile Fabric Pattern Designs Based on Digital Image Processing Technology
Authors: Zhao Jing , Fan Xiu Juan , Xu Qin
Published: August 2014

With the diversification tendency of clothing art, this paper mainly researches on the simulation of concave-convex type carvings on different fabrics by employing some cartoon characters such as Hello Kitty as direct patterns. Spectrum reconstruction processes are carried out on both the vivid characters and the fabrics with different materials and textures so as to integrate the favorable features of both sides. This paper also combines the image processing technology with the computer simulation technology, and sets cartoon elements as one of the pop cultures’ label. Its application in clothing keeps in line with the modern fashion trends, therefore creating a profound influence in this field. Moreover, the application of cartoon characters to the simulation research of textile fabric pattern designs is highly innovative, vivid, and has a very broad potential market.
Lossy Source Compression Using Belief Propagation with Decimation over Multi-Edge Type Factor Graphs of LDGM Codes
Authors: Guan Wu , Liang Li Ping
Published: August 2014

A low complexity approach for binary quantization is proposed. This approach uses a multi-edge type bipartite graph of the low density generator matrix (LDGM) code with the belief propagation algorithm to encode the informations. A damping decimation is developed for the algorithm convergence. Simulation results show that our algorithm achieves near Shannon capacity performance with reduced complexity.
Automatic Discovery Approach of Digital Image Topic
Authors: Jin Cong , Jin Shu Wei
Published: August 2014

A topic discovery approach of the image has been proposed. First, the training images are segmented into some blocks. After clustering blocks, we obtained class set generated by cluster centers, and extracted all nouns from text annotation of each training image to obtain a keyword set. Secondly, the un-label testing image is also segmented into some blocks as same as training images, we calculated the correlation between the block and keyword, and the keyword set for each block may be obtained. Finally, the number of the same keyword appearing in the each block is calculated, we let the keywords with maximum to appear times be as the topics of the image. The experimental results confirm that proposed approach for the image is effectiveness and has good performance.
A Novel Level Set Method for Remote Sensing Image
Authors: Xu Er Jing , Jia Zhen Hong , Wang Lie Jun , Hu Ying Jie , Yang Jie
Published: August 2014

Due to the characteristic of remote sensing image, we propose a novel method based on K-means algorithm also with the improved multi-phrase level set model. Comparing with the classical multi-phase C-V model, the improved model considers the region area information, gradient information and edge detection .Proper use of gradient information can overcome the inaccurate edge localization defects in image segmentation. The edge detection is used for keeping the boundary information better in the evolution process .For the reason of picking up the contour’s convergent speed and enable the avoidance of trap .Four stages are constructed. Firstly, a median filtering is applied to smooth the original image and reduce parts of noise. Secondly, the usage of K-means algorithm gains more obvious differences of characteristics. Next, the reconstruction of gradient is obtained by using Sobel operator. Finally, segmentation result is achieved by using an improved method of multi-phase level set image segmentation. Experimental results show that the proposed approach has advantages in rapid and efficient application of remote sensing image segmentation.
Research on Advance Control of Chaotic Vibration Machine with High Vibration Intensity (I) - Mechanical Properties and PLC Control Decision
Authors: Yang Xiao Lan , Liu Ji Feng , Yang Han Song , Kong Bing Zhi , Li Jia Wei , Si Meng Nan
Published: August 2014

The effective control of high-vibration intensity frequency and its overtime and over-limited is a bottleneck technology of chaotic vibration machine to finish specific operation. A PLC advance control system based on intelligent frequency is developed. Prediction of the possible vibration intensity extreme points and its distribution are processed data mining and prediction by sensor signal amplification, analog-digital conversion, and online monitor. Moreover, advanced control of the overtime and over-limited vibration intensity is achieved by constraint conditions correction and real-time feedback. The advanced control results can be verified by comparing grinding effect of conventional vibration mill with that of advanced control vibration mill. Further, the deaggregation and refinement of super-hard and superfine grinding can be achieved.
Research on Cooling Control System of Flue Gas Based on Fuzzy Control
Authors: Zheng Ming Gang , Wei Nan
Published: August 2014

High-temperature flue gas in the factory has three features: high flow, strong corrosive and high temperature. It must be cooled to the rated temperature of different working conditions. There are nonlinear, time-varying issues and difficult to establish accurate mathematical model in the control of pump water quantity. We put PLC as the core to design the cooling control system which adjusts the pump water quantity by frequency changer based on fuzzy control theory.
The Realization of a Mixed Automatic Production Line Based on PLC
Authors: Zhang Jin Lan , Zhang Ai Rong , Zhang Ze Li
Published: August 2014

In the environment of the high speed development of industrial production, how to optimize the manufacture process, improve efficiency of the industrial step according to the modern industrial technology, is a key problem about industrial development. The traditional model of mass production way already can not adapt to development needs .Because of this, embedded configuration technology just puts forward in the history background. The technology, with its mature and stable control effect, is widely used in the automatic production line. In this paper, the research background come from PLC automatic production lines' project in the National Electrical Automation Contest, simulating a quite complicated series of mixture, stirring steps about several kinds of materials which are used in industries. Practice proves that this system can ensure the product quality and needs to produce in large quantities and fulfill complex production requirement and raise production efficiency.
Resource Sharing and Allocation in P2P Social Networks
Authors: Zhang Qing Feng , Wang Sheng , Liao Dan
Published: August 2014

this paper investigated resource sharing and allocation in P2P social networks which based on game theory. Firstly, resources are divided into two categories: Public goods (PG) and Club goods (CG). The PG has the following characteristics: self-less, Non-exclusive and un-competitive; but the CG has some self-ish, exclusive and competitive. The PG only to get the sharing fixed costs and transaction costs, but the CG needs to obtain more benefits over than costs. We demonstrated that when providers sharing resource is CG within sharing capacities can achieve the maximum benefits and Nash equilibrium. Secondly, peers are divided into two sets: friends set (FS) and strangers set (SS), providers allocate the CG in different sets within different pricing by the average price. Finally, simulations analyzed benefits of peers sharing the PG or the CG, and then discussed resource allocation in different sets within different payment strategies and resource pricing in the same set.
The Analysis of Research Frontier and Hot Topics about User Behavior in Network Community Based on Mapping Knowledge Domain
Authors: Jiang Li Na , Shan Xiao Hong
Published: August 2014

By using mapping knowledge domain, this paper analyzes the literature from 2005 to 2013 of user behavior in network community, the results show that with the development of the Internet and the maturity of the social media, the research in this field is increasing. Now, the papers mainly focus on the study of the user behavior, virtual community and online community, and the chief methods are structural equation model and social network analysis, also, they have a deep analyze on trust as an influence factor. First, to have an overall understanding of the research situation, this paper analyzes three aspects as follow: the information of the papers, the author of the papers and the research institutions, second, it focuses on the research frontier and the cited references.
A Visualization Strategy with a Pentacle and its Application in the Intrusion Detection System
Authors: Li Jia Xing , Xia Jing Bo , Liu Yu , Huang Yu Zhe , Luo Bin
Published: August 2014

In this paper, a novel pentacle-based visualization strategy is used to generate numerical feature for network visiting data. A 20-dimensional feature set is built for the 5-class classifier so as to establish an accurate intrusion detection system. By integrating the proposed 20 new features with the built-in feature sets, which consists of 41 features, the new intrusion detection system achieves an accuracy of 99.588%.