bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhancement of Available Transfer Capability Using FACTS Controller
Authors: Bhavithira V. , Amudha A.
Published: June 2014

Abstract. This paper discusses about the available transfer capability by using Unified Power Flow Controller-UPFC. Flexible AC Transmission System-FACTS devices helps to reduce power flow on overloaded lines, thereby increasing the loadability of the power system, transient stability, damp out oscillations and also provide security and efficient transmission system. UPFC is one of the most versatile FACTS controllers. It is used for both shunt and series compensation. Newton Raphson method is used to calculate load flow for IEEE 30 bus system. By optimally placing the FACTS device Available Transfer Capability-ATC is improved. The ATC is calculated by using AC Power Transfer Distribution Factor- ACPTDF and this method is based on the sensitivity approach. Imperialistic Competitive Algorithm (ICA) is used to find optimal location of placing UPFC to improve ATC.
Optimal Placement of Unified Power Flow Controller in the Transmission Line Using SFL Algorithm
Authors: Latha Bojaraj Soumya , Amudha A.
Published: June 2014

A power system structure has the generation, transmission and the distribution systems. During the transfer of power from the generation system to the distribution system, transmission line losses are occurred. To reduce the losses and keep the system stable, many controllers are being used. The Flexible AC Transmission systems (FACTS) are the modern controllers finding application in the power systems. The Unified Power Flow Controller (UPFC) is considered to be the best among the FACTS devices. It is installed in the transmission line to maintain the voltage of the system within the prescribe limits. The location to fix the UPFC is found using Shuffled Leap Frog Algorithm (SLFA). The transformer ratio is varied from its nominal value. Testing is done using an IEEE 30 bus system and the results are discussed.
Enhance Node Lifetime Using Residual Battery Capacity in Mobile Adhoc Networks
Authors: Meenakshi Murugesan , Kalaivani C.T.
Published: June 2014

In this paper we focus on energy efficiency of the node in mobile ad hoc network with respect to metrics residual battery capacity and relay capacity of the node in the network. We have proposed a multicast algorithm which will use the remaining battery power of the node in an efficient way to increase the lifetime of the network. If the source node wants to send multicast packets, it chooses a node with higher residual-battery capacity. If all the intermediate nodes have equal residual-battery capacity, then it chooses a node with higher relay capacity. Simulation results revealed that the proposed algorithm is more efficient than the existing in terms of node lifetime, delay and throughput.
Real-Time Distributed Wireless Sensor Network for Monitoring Smart Agricultural Environment
Authors: Vinoth Kumar M. , Gobinath J. , Sangeetha M.
Published: June 2014

In India 75% land is occupied for agriculture so some recent survey shows 85% of fresh water resources is utilized in every seasonal period. We can overcome this water consumption through the help of embedded wireless sensor equipments. In this paper we projected a new idea, the system have distributed wireless network to monitor a soil-moisture. Temperature sensors are placed in the root zone of the plants and all these sensors are self power sourced through batteries with an inbuilt rechargeable photovoltaic cell to charge them. Using GPRS system it can be monitored accurately from outsource, and another main action to be achieved in this agriculture environment. The overall environment will be monitored through a digital camera to avoid the infection in plants and also fertilizing them in a correct time. The automated system actions are analyzed and monitored in the server or data storage room.
Intelligent Controller for Shunt Active Power Filter to Improve Power Quality
Authors: Maheswari S.S. Lalitha , Revathi V. , Muralidharan S.
Published: June 2014

This paper presents a comparative study on performance of conventional PI controller and fuzzy controller on three phase, three wire voltage source inverter based shunt active filter that is used to compensate the harmonics currents drawn by non-linear loads in distribution systems. Hysteresis PWM method is used to generate the pulses to the switches used in active filter. The compensation is based on PLL method of fundamental current extraction. The nonlinear load taken into account is a three phase diode bridge rectifier.
Swarm Intelligence Based Location Estimation for Wireless Sensor Network
Authors: Pavalarajan S. , Krishna Moorthy R.
Published: June 2014

Object tracking is a noteworthy application in the field of wireless sensor networks that has attracted major Research attention recently. Most object tracking schemes uses prediction scheme to minimize the energy consumption and to maintain low missing rate in a sensor network. However objects need to be localize, when object was found missing during tracking process. In this article, we proposed a swarm intelligence mechanism, such as particle swarm optimization (PSO) to accurately estimate the location of the missing object, using updated object position and velocity and the extensive simulations are also shown to demonstrate the effectiveness of the proposed algorithm against the centroid and weighted centroid methods to evaluate its performance in terms of localization error.
Unsupervised Learning for Robust Signal Classification
Authors: Maheswari A. Uma , Latha K.
Published: June 2014

Cognitive Radio Networks (CRNs) have been proposed to increase the efficiency of channel utilization; presently the demand for wireless bandwidth is increased. Cognitive Radio Network can enable the sharing of channels among unlicensed and licensed users on a non-interference basis. An unlicensed user (i.e., secondary user) should monitor for the presence of a licensed user (i.e., primary user) to avoid interfering with a primary user. However to get more gain, an attacker also called self-ish secondary user may copy a primary user’s signal to cheat other secondary users. Therefore a primary user detection method is needed to detect the difference between a primary user’s signal and secondary user’s signal. In this paper, unsupervised learning methods such as K-means and SOM techniques are used to classify the signals and also measure the performance parameters such as throughput, end-to-end delay, energy consumption, packet delivery ratio and collision rate of the channel.
High Efficient Induction Motor Drives Using Triple Lift Converter
Authors: Elangovan P. , Kumar C. , Gomathy B.
Published: June 2014

This paper proposes a high efficient advanced DC-DC converter by name Triple-Lift converter in the front end of Induction motor (IM) drives system. The conventional IM drives use PWM rectifier, boost converter, buck-boost converter, etc., in the front end which holds inadequacy in pump-up voltage and deprived output current. The Triple-Lift converter (TLC) implemented in the system employs voltage lift technique and produces the output voltage in arithmetic progression. The voltage source inverter (VSI) coupling IM derives a wide range of DC input (ripple free) from TLC which can be adopted for high rated motors with good efficiency. Simulation results using MATLAB show the effectiveness of the proposed converter arrangement for IM drives.
Secured Finger Vein Authentication System Using Contourlet Transform and SVM
Authors: Murukesh C. , Nadesh T.K. , Thanushkodi K.
Published: June 2014

Biometrics authentication is playing a vital role in providing security and privacy. This paper presents a contemporary approach for identifying an individual using unimodal biometrics. Finger vein based authentication system is a promising technology and now-a-days widely used because of its important features such as resistant to criminal tampering, high accuracy, ease of feature extraction and greater authentication speed. The feature vein patterns extracted by Contourlet transform decompose into directional sub bands in different orientations at various scales. The Support Vector Machine (SVM) classifier is used for pattern matching. Thus the experimental results shows that our proposed method tested on two different databases of finger vein images improves recognition rate with high matching speed.
Feature Based Active Contour Method for Automatic Detection of Breast Lesions Using Ultrasound Images
Authors: Prabhakar Telagarapu , Poonguzhali S.
Published: June 2014

Breast cancer has been increasing over the past three decades. Early detection of breast cancer is crucial for an effective treatment. Mammography is used for early detection and screening. Especially for young women, mammography procedures may not be very comfortable. Ultrasound has been one of the most powerful techniques for imaging organs and soft tissue structure in the human body. It has been used for breast cancer detection because of its non-invasive, sensitive to dense breast, low positive rate and cheap cost. But due to the nature of ultrasound image, the image suffers from poor quality caused by speckle noise. These make the automatic segmentation and classification of interested lesion difficult. One of the frequently used segmentation method is active contour. If this initial contour of active contour method is selected outside the region of interest, final segmentation and classification would be definitely incorrect. So, mostly the initial contour is manually selected in order to avoid incorrect segmentation and classification. Here implementing a method which was able to locate the initial contour automatically within the multiple lesion regions by using the wavelet soft threshold speckle reduction method, statistical features of the lesion regions and neural network and also we are able to automatically segment the lesion regions properly. This will help the radiologist to identify the lesion boundary automatically.
Robust Face Recognition from NIR Dataset via Sparse Representation
Authors: Thenmozhi M. , Gnanaskanda Parthiban P.
Published: June 2014

A biometric identification system may be a pc application for mechanically distinctive or confirmative of an individual from a digital image or a video frame from a video supply. One in all the ways that to try and do this can be by examination designated face expression from the image and a facial information. This paper planned dynamic face recognition from near-infrared images by exploitation sparse representation classifier. Most of the prevailing datasets for facial expressions are captured in a very visible light spectrum. However, the visible light (VIS) will modify with time and placement, causing important variations in look and texture. This new framework was designed to attain strength to pose variation and occlusion and to resolve uncontrolled environmental illumination for reliable biometric identification. This paper gift a unique analysis on a dynamic facial features recognition, exploitation near-infrared (NIR) datasets and LBP(Local binary patterns) feature descriptors. It shows sensible and strong results against illumination variations by exploitation infrared imaging system.
Optimization of Subcell Interconnection for Multijunction Solar Cells Using DC-DC Converter
Authors: Pious Ani , Rajalakshmi K.
Published: June 2014

The extraction of solar energy will be higher using the multijunction solar cells instead of single junction solar cell by splitting the solar spectrum. This work proposes a detailed study to identify the optimum interconnection method for various multijunction solar cells. An effective power electronic circuit could substantially enhance the efficiency and utilization of a photovoltaic (PV) power system constructed from multijunction solar cells. The multiple input dc-dc non-inverting buck-boost converter is used to demonstrate the advantage of the proposed interconnection technique, which can maintain a constant output voltage by performing both the buck and boost mode of operation. In order to ensure maximum power point (MPP) operation, a particle swarm optimization (PSO) algorithm is applied which needs only one MPP control for multiple solar modules resulting reduction in cost and complexity. The PSO algorithm has the ability to track the global maxima of the system even under complex illumination situations.
Procuring the Dropbox Using Honey Encryption Technique
Authors: Latha K. , Gowsalya B. , Kannega B.
Published: June 2014

Cloud Computing is the important aspect in Information Technology, which is believed to be suitable for Small business purposes for accessing the resources .Cloud Community portals are used for storing, accessing, synchronizing and for backup the files .The main concern in cloud portal is the security issues in public cloud like Drop box. Drop box are used to access the data whenever needed. In this paper, the attack of Drop box by means of Spam mails is taken into consideration and encryption techniques such as Honey Encryption is used for avoidance of attacks caused by Spam mails such as data stealing, guessing of passwords etc.
Energy Aware Migration Model for Efficient Resource Management in Cloud
Authors: Nehru Iniya E. , Mukherjee Saswati , Noel Jocelyn T.
Published: June 2014

Cloud computing is a platform that provides different services for the Internet users and companies on a pay-as-you-use basis. Services are provided through the datacenters which are available all over the world. One of the major problems faced by the service providers is the huge amount of energy consumed at the Datacenter. In todays world, where the environmental factors are the most talked about, energy efficient management of Datacenters has to be given due importance. In this paper a migration model is proposed for migration of job between virtual machines by considering the energy consumed and deadline as crucial factors.
A Survey of Mobile Cloud Computing for Extending Energy of Mobile Devices
Authors: Thanapal P. , Saleem Durai M.A.
Published: June 2014

Mobile cloud computing will wear down gaining quality among users, the researchers predicts these troubles by execution of mobile applications on application suppliers external to the mobile device. During this paper, we have a tendency to gift a wide survey of mobile cloud computing, whereas prominence the particular considerations in mobile cloud computing square measure as follows. (a) Highlights the present state in Application of cloud computing usage in real time world. (b) Identifies the problems in testing bandwidth and (c) provides a optimizing of the offloading that saves energy
Filtering Dirty Words in Online Social Network by Applying Automated Filtering System
Authors: Bala P. Kumari , Florinabel D. Jemi , Sivasakthi S.
Published: June 2014

The aim of the project work is automatically to filter the dirty words from other users without displaying to the profile owner. In Online Social Network may have possibilities of posting some dirty messages so it need to filter without displaying to owner. It has achieved by using Rule based Filtering System. The Rule Based Filtering System allows users customize to filter the noisy or dirty words by applying some filtering Criteria. It exploits Machine Learning (ML). Machine Learning is a text categorization techniques to specify some categories for assign the short text dirty words based on their content. The content-based filtering on messages posted on user space has specified the additional challenges to be given the short length of these messages. Online social networks not only make it easier for users to share their opinions with each other, but also serve as a platform for developing filter algorithms.
A Hybrid Privacy Preserving Scheme for Hotspots in Nested NEMO Based VANETs
Authors: Bala Subramanian C. , Vijayalakshmi G.
Published: June 2014

Vehicular Ad-hoc NETwork (VANET) is an emerging technology. The integration of NEMO (NETwork MObility) with VANET is known as NEMO based VANETs. This combination supports the communication between the RSU (Road Side Unit) and Vehicles to provide the internet access through the public hotspots inside the public transportation systems. The travelers inside these systems can enjoy full internet access by using different Mobile Network Nodes (MNNs). Due to open nature of wireless system the physical layer attack can easily localize the MNNs by measuring their Received Signal Strength (RSS). The proposed system deals with the power variability and concealment techniques and propose the hybrid privacy preserving scheme to prevent the attackers from localizing the MNNs inside Nested NEMO based VANETs hotspots. The main aim of this proposed system is to make more confusion on the measurement of RSS and, hence, preserve the privacy at physical layer. The simulation is achieved by the integration of Vanet Mobisim and NS-2. In addition, our proposed scheme can be practically implemented due to having many MNNs that select the same fake point and, hence, increase estimation error on RSS measurement by the attacker. Key words: NEMO, Nested NEMO, Privacy, RSS, VANET
Genetic Algorithm and PSO Based Intelligent Software Reuse
Authors: Jayasudha R. , Subramanian S. , Sivakumar L.
Published: June 2014

Software Reuse can improve the development time, cost and quality of Software artifacts. The Storage of artifacts plays an important role of easy retrieval of the needed components according to the requirement. In this paper a great measure has been taken for the retrieval of relevant component from the Ontology based repository. Two famous evolutionary algorithms Genetic Algorithm and Particle Swarm Optimization algorithm were used for extraction of needed component. These two algorithms are separately used for component retrieval. Genetic Algorithm in Component Retrieval is best suited if the repository has more number of relevant components. PSO for Component search is best suited if the query is highly refined to get more relevant document. PSO is used for the mainly query expansion. These two methods are combined first the retrieved set of component is organized with the help of GA and PSO for best query expansion. Thus these two methods are combined for best precision and retrieval time for different sets of requirement query
Optimal Setting of Machining Parameters for Turning Inconel 625 Using Coated Tool
Authors: Marimuthu P. , Baskaran R.
Published: June 2014

Inconel 625 materials are widely used in the chemical, aircraft and shipbuilding industries due to thermal resistant retaining mechanical properties. These materials are generally hard to machine material due to their high strength and high work hardening tendency. Surface roughness (SR) and material removal rate (MRR) are widely considered as demanding aspect causing poor quality in machining. Optimization of cutting parameter is essential for the achievement of high quality and high rate of production. In this work, TiAlN coated cutting tool was used for CNC turning of Inconel 625 under dry conditions and optimum cutting parameters for each performance measure is obtained by employing Taguchi techniques. Analysis of variance (ANOVA) was employed to study the performance characteristics in turning operation.
Experimental Study of Parameter for Turning GFRP Using Coated Tool
Authors: Marimuthu P. , Raveendran P.
Published: June 2014

Glass fiber reinforced polymers (GFRP) have been used in variety of engineering applications, owing its corrosive resistance property. Machining of GFRP material is difficult to carry out due to the non homogenous structure of material. Optimization of parameters is essential for achieve the quality of product. In this paper, Turning parameter optimization is studied for machining GFRP under dry conditions using coated tool. Single response optimization is performed by Taguchi method.
Augmentation of Real Power from Renewable Energy Sources across the DC Link of the UPFC Using Fuzzy Logic Control Scheme
Authors: Fathima K.A. Rani , Raghavendiran T.A.
Published: June 2014

The Unified Power Flow Controller (UPFC) is accepted as the versatile Power Flow Controller between electrical power nodes or power sources many times referred to as the buses. Regulation of real and reactive power flow between power nodes can be achieved in the desired manner using the UPFC. In this paper it is demonstrated how additional real power sources like Wind and Photo Voltaic Solar power sources can be augmented into the DC link of the UPFC and supplementing the seamless performance of the UPFC. Fuzzy Logic has been chosen to be the controller as it is moderately robust and its usefulness in this application is compared and contrasted against traditional PI controller. MATLAB / SIMULINK based simulation environment has been used for demonstrating the validity of the proposed schemes.
Power Quality Enhancement in Microgrid
Authors: Mohana Tatipamula , Chellammal Nallaperumal , Vijayan Smrithi
Published: June 2014

This paper deals with the mitigation of voltage sag and harmonic profile improvement in a microgrid system. The microgrid system contains a hybrid combination of PV array, Battery interfaced with a cascaded multilevel inverter through a boost converter. The microgrid feeds a non-linear balanced load. The occurrence of voltage sag in the microgrid is compensated using the reference current for mitigation by using the SRF theory. The proposed power quality conditioner can compensate the voltage variations and harmonic profile distortions caused by the load changes. The efficacy of the proposed power quality conditioner in the microgrid system is validated through the MATLAB/Simulink.
Performance Analysis of Unified Power Quality Conditioner for Power Quality Improvement
Authors: Saravanan Ragavan , Manoharan P.S.
Published: June 2014

The Unified Power Quality Conditioner plays an important role in the constrained delivery of electrical power from a source to an isolated pool of load or from a source to the grid. This article is presented new control approaches for both series and shunt inverter. The proposed control algorithm for series and shunt converters based on FLC and synchronous reference frame theory respectively. The proposed approach eliminates the total harmonic distortions (THD) efficiently, and mitigates sag and swell present in the linear and nonlinear loads.
Power Quality Assessment and Enhancement in a Grid Connected Renewable Energy System Using Dynamic Voltage Restorer
Authors: Rajeshbabu S. , Manikandan B.V.
Published: June 2014

Renewable energy sources provide the additional/satisfy the power to the consumer through power electronics interfaces and integrated with the grid. In grid integration power quality is one of the important parameter that need to be paying more attention. This proposed work focuses on power quality issues in a grid connected renewable energy system. Power quality issues will arises due to many factors here with the by introducing a fault condition in a grid connected renewable energy system the measurements were made at the point of common coupling and the mitigation is done with the help of a dynamic voltage restorer. The dynamic voltage restorer is a device which offers series compensation activated by neural network based controller. The sag improvement and the total harmonic assessment were made at the point of common coupling. Keywords: Neural network, Point of common coupling, Renewable energy source, Power quality, Dynamic voltage restorer ,electric grid.
Transient Stability Enhancement Using Multilevel Inverter Based UPFC
Authors: Arun Bose , Manikandan B.V.
Published: June 2014

Power flow control is important in power systems and recently becomes more urgent because of the deregulation. This paper presents a novel configuration of unified power flow controller and performance of UPFC intended for installation on transmission line. When no UPFC is installed, any interruption in the line due to fault reduces the active power flow through the line. Installing the UPFC makes it possible to control an amount of active power flow through the line. Simulations were carried out using Matlab to validate the performance of UPFC. Keywords: FACTS Devices, UPFC, Transient stability, Matlab, Fault simulation.
Security Enhanced OPF with Transmission Cost Solution under Bilateral and Multilateral Transactions
Authors: Nazaran J. Bastin Solai , Selvi K.
Published: June 2014

In a deregulated electricity market, it is important to dispatch the generation in an economical manner. While dispatching it is also important to ensure security under different operating conditions. In this study intelligent technique based solution for optimal power flow is attempted. Transmission cost is calculated using Bialek’s upstream tracing method. Generation cost, transmission costs are combined together for pre and post contingency periods to form objective function. Different bilateral and multilateral conditions are considered for analysis. A human group optimization algorithm is used to find the solution of the problem. IEEE 30 bus system is taken as test systems.
Three Phase Power Flow Incorporating Static Var Compensator
Authors: Karthik B. , Arokkia Jerald Praveen , Sreejith S. , Shriram S. Rangarajan
Published: June 2014

Application of Flexible AC Transmission Systems (FACTS) devices in a power system is a promising and more efficient way for the transfer and control of bulk amount of power. One of the problems encountered in power-systems operation is the generation of unbalanced voltages and currents in the presence of long transmission lines with few or no transpositions. This includes possible unbalances arising in source and load conditions, or indeed any items of plant such as shunt and series reactors. To improve or investigate these unbalance effects in any detail, a 3-phase load-flow solution that allows representation of all possible unbalances as they exist in the power-systems network without making any assumptions is essential. This paper deals with the three phase power flow incorporating Static Var Compensator (SVC). Here SVC is modeled using variable reactance modeling technique and incorporated into the single phase and three phase load flow. Newton Raphson power flow algorithm is adopted here. The performance of SVC to control the power flow and regulating voltage in the network is discussed. The performance analysis is carried out for 4 case studies namely single phase power flow, single phase power flow with SVC, three phase power flow and three phase power flow with SVC. The change in power flow and losses due to the unbalanced load condition in the three phases in illustrated. The studies are carried out in a standard 5 bus test system. Keywords: Three Phase Power flow, Static Var Compensator, Unbalanced system, Negative sequence components, Zero sequence components.
Study of Gas Sensors for the Detection of Volatile Organic Compounds in Breath
Authors: Jayasree T. , Muttan S.
Published: June 2014

Volatile organic compounds (VOCs) are organic chemicals that encompass a high vapour pressure .The VOCs are numerous and varied. In breath the concentration of VOCs ranges from parts per million to parts per trillion. The discovery of VOCs in breath is used as a diagnostic tool for many diseases, disorders and metabolic studies. So far these gases have been identified using gas chromatography (GC) which is time consuming and expensive technique. With the introduction of sensors as frontend to detect vapour signals, the work can be processed easier. This article proposes a system for breath analysis using tin oxide semiconductor gas sensors, in which the conductivity changes depending on the concentration of the vapour. A prototype model was developed to detect the presence of acetone in the breath, which is a biomarker for diabetes mellitus. This study has been helpful in designing an electronic nose for detecting other vapours like benzene, ammonia and Nitric oxide which are the biomarkers for lung cancer, renal disorder and asthmatic inflammation.
Detection of Diabetic Maculopathy Using KNN Algorithm
Authors: Sukanesh R. , Murugeswari S.
Published: June 2014

: Diabetic Maculopathy (DM), the most common eye disease of the diabetic patients, arises once a small blood vessel gets impaired in the macula, due to high glucose level. It affects the patients who have diabetes for more than 5 years, which can also prime to vision loss. Recognition of diabetic maculoathy in advance, protects patients from vision loss. The major symptom of diabetic maculopathy is the presence of any lesions. Detecting macula diseases in an initial stage, supports the ophthalmologists apply accurate treatments that might eliminate the disease or decrease the severity of it. This paper focuses diabetic maculopathy identification through detecting lesions by extracting features through GLCM in colour fundus retinal images and also classifies the meticulousness of the lesions. Decision making of the harshness level of the infection was performed by KNN classifier
Automatic Detection of Diabetic Retinopathy by Using Evolutionary Computation Algorithm Based on Feature Extraction
Authors: Latha K. , Durga S. Gowri
Published: June 2014

According to current status Diabetes is the third leading cause of death after cancer and heart diseases. The serious complications of uncontrolled diabetes include kidney damage, eye damage, nerve disease and stroke. Diabetic retinopathy (DR) is a common retinal problem associated with diabetes. This paper focuses on Diabetic Retinopathy and finds the exudates parts in the eye by implementing combinations of global optimization techniques such as Particle Swarm Optimization (PSO) based on feature extraction. It can also be helpful in improving the performance by accuracy, sensitivity and specificity for detecting the Diabetic Retinopathy when compare to other traditional methods.
Gait Analysis Using Wearable MEMS Tri-Axial Accelerometer System
Authors: Minerva Rajendran , Saranya S. , Poonguzhali S.
Published: June 2014

Walking is an important tool for assessing individual’s health condition. Gait Pattern acquisition and analysis have been carried out using motion capture systems. The limitations of these systems include high cost, indoor monitoring and time consuming setup. Advent of MEMS sensors have overcome the above mentioned limitations. In this work, Wearable Wireless Sensor system has been developed. This system allows acquisition of gait data without intervention for subjects’ natural walking. The Spatio-Temporal parameters were determined for normal and pathological subjects. Results show existence of significant differences in critical phases of pathological gait. Overall degree of flexion / extension is reduced to half in polio gait. The data obtained from this work can be used for the development of subject specific therapeutic methods.
Fiber Optic Sensor for Simultaneous Measurement of pH and Dissolved Oxygen
Authors: Deepa N. , Ganesh A. Balaji
Published: June 2014

The work describes the constructions of optical fiber based minimal invasive sensing system to measure pH and dissolved oxygen using sol-gel membranes which are attached internally in any transparent container. The disposable sensing membranes are very thin size and prepared as fluorescent dye doped in silica film using simple procedures. The sensor characteristics such as response time, linearity, repeatability and reversibility are evaluated and the performance of the sensor also compared with commercial meters. The experiments such as, chemical stability and photo stability are also carried out. The detection limit of pH sensor is found between 3 pH and 10 pH, however good sensitivity is obtained for the ranges from 4 pH and 9 pH with the response time of 7 seconds. Non-linear response is obtained for dissolved oxygen sensor and it is made linear by applying Stern-Volmer equation. The oxygen sensor shows good sensitivity in the ranges from 2 mg/L to 8 mg/L.
Performance Comparision of P&O and INC MPPT Techniques for a Boost Converter in Solar Photovoltaic System
Authors: Vimalarani C. , Kamaraj N.
Published: June 2014

Maximum power point tracking techniques play an important role in solar photovoltaic systems to achieve the desired output power. These techniques track maximum power from the solar panel under varying solar irradiation and cell temperature. Among these techniques, Perturb & Observe (P&O) is used by many researchers. Due to the ease of realization and Incremental conductance (INC) algorithm is widely used because of reduced oscillations around maximum power point. In this paper, MATLAB/SIMULINK tool has been used to evaluate the performance of 125W solar PV panel by using these algorithms. The performance comparison of P&O and INC techniques is made and the results exhibit the maximum power tracking from solar PV panel and well regulated output voltage across the load is achieved.
New Cost Effective Inverter Fed BLDC Motor for Electric Vehicle Applications
Authors: Karthikeyan J. , Pandi P. Durai , Ganesh K.
Published: June 2014

The main work of this paper is to control
the speed of a four switch inverter fed three
phas
s
Brushless DC motor drive based on the concept of switching functions. The advantage of this inverter that uses of four switches instead of using six switches are lesser switching losses, lower electromagnetic interference (EMI), less complexity of control algorithms and reduced interface circuits. This drive system consists of a Buck Boost converter, four switch inverter and BLDC motor. Here current and torque ripples could be reduced based on
controlled
dc link voltage according to the motor speed. This proposed scheme is compared with conventional BLDC motor drive system. Simulation and Experimental works are carried out and results presented to demonstrate the feasibility of the proposed four switch inverter method.
A Efficient Surface Reconstruction Method for Noisy Samples Based on Bilateral Filtering and down Sampling
Authors: Wan Wen Rui
Published: June 2014

Surface reconstruction is a hot topic in the field of computer graphics. Power Crust algorithm can reconstruct a triangle mesh that is topologically valid and convergent to the original surface. But it can not handle the points with noised and its running time is long. In this paper an efficient surface reconstruction algorithm for noisy samples is proposed. Firstly, we delete the noise by bilateral filter. Secondly, a non-uniformly sampling method is used to resample the input data in order decrease the number of the samples to the local feature size before reconstruction. Finally, Power crust algorithm is be used to reconstructed the surface. From the experiments, it can be seen the speed of reconstruction is increased and the features of the surface are preserved.
Application of Numerical Simulation and New Fining Index in Operating Parameters Optimization of Float Glass-Melting Furnace
Authors: Yang Yang , Liu Min , Hao Jing Hua
Published: June 2014

Glass-melting furnace is the most essential equipment in float glass manufacturing, which greatly affects the glass quality and energy efficiency. A three-dimensional simulation model of a float glass-melting furnace including combustion chamber and glass tank is performed in this paper by CFD software Ansys Fluent. To evaluate the glass quality with obtained simulation output data, a new fining index is proposed from the view of bubble elimination in fining zone of the glass tank. The fining index is verified effective in this paper by comparisons between simulation results and actual industry data. The simulation model and fining index then provide guidance for operating parameters optimization and glass quality improvement.
Improvement of Inflammability and Biodegradability of Bio-Composites Using Recycled Polypropylene with Kenaf Fiber Containing Mixture Fire Retardant
Authors: Suharty Neng Sri , Ismail Hanafi , Dihardjo Kuncoro , Nizam Muhammad , Firdaus Maulidan
Published: June 2014

Have been reactively synthesized bio-composites material that has a good in mechanical strength and fuel resistance. The starting material for the manufacture of bio-composite was recycled PP (rPP) modified AA, reinforcement kenaf fiber (KF), the mixture of magnesium hydroxide (MH) and aluminum hydroxide (ATH) without or with boric acid (BA) as a fire retardant. The burning rate (BR) and tensile strength (TS) test were used ASTM D635 and D638, respectively. The presence of mixture fire retardant [MH/ATH] with ratio of 15/5 in the bio-composites can effectively reduce their burning rate (BR). Biodegradability of the bio-composites, which is reflected by weight loss (WL) is achieved arise after burying the bio-composites in garbage soil for four months. However, the presence of mixture fire retardant could marginally decrease the TS of the bio-composites.
Deducing Stream Function N-S Equation from Classic N-S Equation and its Verification
Authors: Yan Guo Xin , Wu Wei , Zhu Shi Jiang
Published: June 2014

N-S equation is basic equation of fluid flow. Based on N-S equation, it deduced two different forms of governing equation which refer to turbulent-stream function equation and stream function equation. It analyzed their characteristics including advantages and disadvantages. The sudden expansion flow was calculated using turbulent-stream function N-S equation and stream function N-S equation separately. The results showed that both of them can have good effects.
A New Long-Term Forecast Method of Wind Power
Authors: Lin Ying
Published: June 2014

We forecast wind power in a way combining wavelet neutral network and rolling forecast. At the same time, we build a system of forecast deviation. Then we use some data to test our model, which yields a desirable result. In addition, we are informed that our method can predict wind power correctly in a long time and short sampling interval can lead to a better result than long sampling interval.
Blind Detection of Frequency Hopping Signal Using Numeral Characteristics of Compressive Samplings
Authors: Zhang Chun Lei , Li Li Chun
Published: June 2014

In order to detect the Frequency-Hopping signal in the condition of non-cooperation and overcome the bottleneck of huge data processing, a blind detection method using numeral characteristics of compressive samplings is proposed. First the different numeral characteristic of compressive sampling under different hypothesis is analyzed, and then this characteristic is used to detect the presence of Frequency-Hopping signal in white noise environment. Simulation results show that this algorithm can effectively detect the Frequency-Hopping signal when is higher than 8dB. This algorithm is lower in computation complexity, and can be an inspiration of real-time sparse signal processing.
Validation in a Real Situation of a Virtual Multimedia Training Environment to Improve Performance and Behavior
Authors: Kawamoto Júnior Luiz Teruo , Orchulhak Kawamoto Waltraudi
Published: June 2014

Despite the scuba diving training classes, many accidents in recreational scuba diving still occur, because of scuba divers that do not follow the safety procedures. Two virtual environments were developed, one for training and another to evaluate the knowledge about safety procedures in scuba diving, and both were validated by: questionnaires about usability and understanding of the interfaces; by experts’ evaluation and by written conventional tests. However there is doubt whether these results reflect a real situation. The purpose of this research is to verify if the Virtual Environment for Training improves the performance and the behavior of scuba divers regarding the performance and behavior during practice in real life. Results showed that in some requisites it did, and in others, the behavior was similar to the ones that had conventional training.
Extraction of Di-Methyl Phthalate Using Smarta Nanoscavengers
Authors: Khdary Nezar H.
Published: June 2014

A base-catalyzed process was applied to the synthesis C18-silicananoparticles.The base-catalyzed process led to the rearrangement of spherical particles to form a flower-like aggregation of 300-nm silica particles. IR and TGA supported the success of the modification. The extraction of di-methyl phthalate (DMP) was successfully achieved (Fig. 1) in the ngrange. Fig. 1 Extraction of DMP silica nanoparticles
DCGF in Ji’Nan: Construction and Issues
Authors: Chang Lu Qun , Li Jian Hua , Tian Li Zhong , Lin Peng , Wu Ying , Zhong Wei Zheng
Published: June 2014

The aim of this paper is to give a review of Digital China Geospatial Framework (DCGF) construction in Ji’nan which is named Digital Ji’nan Geospatial Framework (DJGF). As a national promotting project of DCGF, DJGF has seven components: Municipal Geospatial Information Resource Catalog (MGIRC), Geospatial Framework Datasets (GFD), Geographical Information Database Management System (GIDMS), Public Service Platform (PSP), Security system , Runtime Environment and Pilot Projects. The key methods used in DJGF mainly include Extraction-Transformation-Loading (ETL) technology and service extension. Along with the construction of DJGF, the integrated surveying business system has been built, automatial processing technologies also have been applied to improve the data production efficiency. Moreover, " sub-building, co-sharing, one data-one resource" mechanism has been Put forward and promote the benign circulation of datas. Now, as a fundamental platform for geospatial data exchanging and service supplying, DJGF have been widely used in urban planning, land resources, environment, climate, etc.
The Impact of Music on Learning Brainwaves
Authors: Kao Fu Chien , Wang Shin Ping R. , Huang Chih Hsun , Lin Yun Kai , Chen Chih Chia
Published: June 2014

Human behavior pattern is mainly dictated by cerebral activities called brain wave. Brain wave carries messages to all parts of the body and controls thought and behavior. Modern neuroscientists have divided brain wave into 4 different frequency sub-bands:δ (Delta)、θ (Theta)、α (Alpha)、and β (Beta) in order of frequency. Each sub-band has its own special physiological meaning and characteristic. This research from the perspective of cognitive neuroscience investigates how listening to different styles of music can influence learners ’learning activity. The experiment is conducted by having the subjects listening to different styles of piano music while performing logical reasoning at the same time. In addition, during the experiment, the variation of subject’s brain wave characteristic band with respect to different styles of music is recorded and analyzed. A learning brain wave energy formula is developed to compare the effects of different styles of music to the learning. The research result shows some specific styles of music have a positive effect in enhancing learning energy and improve learners learning efficiency.
The Research of Loyalty Card Schemes Management in Chinese Food Retail Enterprises-Based on the Experiences of British Retailers
Authors: Du Wan Yin
Published: June 2014

The purpose of the paper is to research the management of loyalty card schemes for Chinese food retail enterprises through learn from British food retail industry. Based on distribute questionnaires and develop focus groups, some problems about loyalty card schemes management will be found, and then some effective suggestions will be presented on conclusion part.
Research on the Value Orientation of Supply Chain Partners' Adverse Selection
Authors: Nie Li , Qiao Zhong
Published: June 2014

In order to enhance the competitiveness of the supply chain, the core enterprise in the supply chain usually associates with more disadvantaged enterprises, so the core enterprise need evaluate and select its partners; At the same time, the partners, the disadvantaged enterprises, also need make the adverse selection with obvious value orientation. So the research on the intention of adverse selection value of supply chain partner has important realistic significance.
This paper conducted a questionnaire survey of 300 manufactures in Ma’anshan, participation of which would be analyzed by logistic regression. we make an empirical analysis from the manufacturers of Ma’anshan, and the results show the disadvantaged enterprises are more willing to join the supply chain alliance, which can bring to them such as expected benefits, opportunities for development, and pre-pleasant cooperation extent etc., which are important factors affecting their decisions. Some suggestions, such as the policy support, strengthening the information management of supply chain,are put forward to promote the willing of enterprise participation.
The X-Ray Powder Diffraction Patterns and Crystal Structure for Al2M3Y(M=Cu, Ni)
Authors: Li De Gui , Qin Ming , Liang Liu Qing , Lu Zhao , Liu Shu Hui , He Bin , Qing Pei Lin , Zeng Ling Min
Published: June 2014

The Al2M3Y(M=Cu, Ni) compound was synthesized by arc melting under argon atmosphere. The high-quality powder X-ray diffraction data of Al2M3Y have been presented. The refinement of the X-ray diffraction patterns for the Al2M3Y compound show that the Al2M3Y has hexagonal structure, space groupP6/mmm(No.191), with a = b = 5.1618(2) Å, c = 4.1434(1) Å,V= 95.6 Å3,Z= 1,ڑx= 5.7922 g/cm3,F30= 155.5(0.0057, 34), RIR = 2.31 for Al2Cu3Y, and with a = b = 5.0399(1) Å, c = 4.0726(1) Å,V= 89.59 Å3,Z= 1,ڑx= 5.9118 g/cm3,F30= 135.7(0.0072, 30), RIR = 2.54 for Al2Ni3Y.
Investigation of the Properties of Al Incorporated into Sb2Te3 Phase Change Material
Authors: Wei Fen Fen , Kong Tao , Shi Lin , Huang Rong , Zhang Jie , Cheng Guo Sheng
Published: June 2014

We report that crystallization property of amorphous Sb2Te3 can be significantly improved via Al doping. However, the effect of Al on the structure and electrical properties of crystalline Sb2Te3 is not clear, which is valuable for phase change memory. In this work, we find that Al addition could increase the crystallization temperature and change the structure. The results show that both nucleation and growth of crystallite are suppressed by Al doping. Based on ab initio calculation, we have validated the formations of Al-Sb and Al-Te bonds in doped films and the effect of Al on the structure and properties of crystalline Sb2Te3. Especially for 10 at% Al doped Sb2Te3 (Al-Sb-Te) film, which exhibits better thermal stability and might be a good candidate material for phase change memory.
Kinematics Analysis on the Throwing Skills of Elite Chinese Male Hammer Athletes
Authors: Wang Shuai , Zhou Ji He , Jia Chong
Published: June 2014

Hammer throw is one of the traditional track and field events but it only has a short history in China. Chinese hammer athlete Shizhu Wang won the championship of China Long Throw Open in 2013, but the performance in the game has a big gap with the world record. In order to improve the techniques of Chinese men hammer athletes, have a clearly understanding of the rational factors and internal relations of hammer throw technique, enrich the theory of the action and provide reference to the hammer throw training, we made a 3D camera resolution on the top three men hammer throwers (Shizhu Wang, Dakai Qi and Xiwan Jiang) at the game site of China Long Throw Open in 2013, with the three-dimensional analysis we gained the kinematic parameters. We made a comparison on the parameters between Chinese and foreign elite men hammer throwers. The result shows that: Compared with the datas of outstanding foreign athletes, the pre-swing time is much larger and hammer velocity increment is much smaller in the pre-swing stage; the total rotation time is much longer, and the single to double supporting time is distributed unreasonly, what’s more, the change between the knee joint and bevel angle are too small; the shot speed ,with the fastest Shizhu Wang of 24.87 m/s, is much slower than that of foreign famous athlete Sedych (30.7 m /s), and longer hammer throw running time, which are the main reasons that affect athletes’ performance.