department of Computer Science & Engineering


Head, Computer Center, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore

An Efficient Enhanced Algorithm to Diminish the Security Threats In Multi-Tenancy Cloud Computing


Cloud computing is considered as the hopeful standard for distributing IT facilities as computing benefits.Several industries like banking, healthcare and education are moving towards the cloud due to the effectiveness of services provided by the pay-per-use pattern based on the resources equivalent to process power used, transactions administered, bandwidth consumed, knowledge transferred, or storage space occupied etc. Cloud computing is totally in web dependent technology wherever client data is kept and maintained within the cloud provider’s data center like Google, Amazon, Microsoft,Akamai, etc. Inadequate control over the data may procure several security concerns and threats which include data leakage, insecure interface, sharing of resources, data availability and insider attacks. If the businesses and customers are provided internet access, they can access their personal files directly from any corner of the world.

Mr. Avinash Golande

Research Scholar K L University, Andra Pradesh

Heart Disease Prediction Using Effective Machine Learning Techniques


In today’s era deaths due to heart disease has become a major issue approximately one person dies per minute due to heart disease. This is considering both male and female category and this ratio may vary according to the region also this ratio is considered for the people of age group 25-69. This does not indicate that the people with other age group will not be affected by heart diseases. This problem may start in early age group also and predict the cause and disease is a major challenge nowadays. Here in this paper, we have designed a system which will help in predicting the survivability of heart diseases.

Keywords: Heart disease, data mining, decision tree, Classification

Dr.B.Bazeer Ahamed,

Associate Professor Balaji Institute of Technology and Science, Warangal, Telangana

Faction Of Data For Social Network Mining Using Link Based Types


Recent online social networks such as Twitter, Facebook, and LinkedIn have hurriedly grown in reputation. The resulting accessibility of a social network data supplies an unparalleled occasion for data analysis and mining researchers to resolve useful and semantic information in a broad range of fields such as social sciences, marketing, management, and security. Still, unprocessed social network data are enormous, noisy, scattered, and susceptible in nature, in which some challenges is faced when applying data mining tools and analyzing tasks in storage, efficiency, accuracy, etc. In addition to that there are many problems related to the data collection and data conversion steps in social network data preparation. We focused on the endeavor for privacy preserving social network conversion which provides method for better protection and identification of privacy for social network users and to maintain the convenience of social network data.

Keywords: Social Network, Social Network Analysis, Link mining, Learning Model

Mrs. R Lavanya

Assistant Professor SRM Institute of Science and Technology, Kattankulathur, Chennai

Efficient Youtube mining and data analysis using Hadoop


Analysis of organized information has seen huge achievement before. However, analysis of large scale unstructured information as video format remains a testing region. YouTube, a Google organization, has over a billion clients and creates billions of views. Since YouTube information is getting made in an extremely colossal sum and with a similarly extraordinary speed, there is an enormous request to store, process and painstakingly ponder this large amount of information to make it usable. The principle goal of this project is to show by utilizing Hadoop ideas, how information created from YouTube can be mined and used to make focused on, continuous and educated choices. This project utilizes SQL like inquiries that are later keep running on Big Data utilizing HIVE to extricate the important yield which can be utilized by the administration for analysis.

Keywords: Big data; YouTube, Data Analysis, Hadoop, Digital Marketing

Madhavi Vaidya

Asst Professor Vivekanand Education Society’s College of Arts Science and Commerce, Mumbai,India

Comparative and Experimental Performance Analysis of Heterogeneous Data on Distributed File Systems on Various Testbeds using MapReduce


The computing world is undergoing a significant change from traditional, non-centralized distributed system architecture, to typical parallel and psudo-distributed nodes. Because of the recent interest in big data in the field of Information Technology, from the higher network bandwidth to parallel and psudo-distributed nodes, increases in storage volume, and affordability.

Hira Farman

Department of Computer Sciences Muhammad Ali Jinnah University, Karachi

Google Standard Identifier


Google search engine is used by almost 90% of the internet users to find the related websites or web pages on different topics they are looking for. Google displays results in the form of list of related websites and web pages. However Google search engine display list of 11 different websites per page and normally user check about one to two pages for the desired results. A big hectic for Web Developers to code according to the Google standards usually these are the HTML standards which are not considered as a bug, the code execute fine but these lack of standards results in below ranking of website in search engines. To avoid this problem normally the website owner hired Search Engine Optimization (SEO) experts who apply different techniques to display website on first page ranked but this is time taken & costly.

Zainab Ashraf

Assistant professor University of Management and Technology, Lahore, Pakistan

The Future of Prediction: Relationship between Google Searches and KSE 100 Index


This paper examines the relationship between big data and financial stocks of Pakistan. It examines and tests the relationship between search engine query volumes related to terrorism and financial market KSE 100 Index. Collecting data from 19 different search terms related to terrorism, this paper extends the study by applying linear regression between search queries and KSE 100 index prices. The results show statistically significant and positive between search keywords and prices which mean that frequency or changes in search indices is correlated with prices of KSE 100 index fluctuations. So frequency of keywords related to terrorism is showing the number of terrorism attacks happening in the country which might be means that these attacks are somehow affecting the stock market.

Keywords: Big data, KSE 100 index, search engine, terrorism.

Saman Nawaz

Department of Computer Science & IT The Islamia University of Bahawalpur, Pakistan

A Framework based on Human-Machine Interfacing for Mouse Cursor Movement with Human Eye Ball


‘Control’ is indeed a revolutionary field in science and a lot of research has been focused on forming digitally automate world, having all protocols controlled via microprocessors with great accuracy, perfection and efficiency, nullifying human errors. With the emergent of technology, number of computer devices is cumulating every day. For this reason, we propose an interactive framework; Mouse Cursor Controller (MCC) which controls the movement of mouse cursor with the rotation of human eye ball. The proposed framework requires the detection of face, tracking of eye balls using template matching, storing consecutive camera captured frames having eye ball’s positions and comparing this data, generating an error signal used as an input for mouse cursor’s position. This error signal is fed to the mouse driver and hence location of the cursor is updated accordingly. The other proposed frameworks in this field incorporates; Electrooculography sensors mounted around the human eye taking signal from eye muscle movement and varying cursor’s location consequently. The techniques applied in these frameworks are not appropriate because they are not autonomous. Moreover, they do not ensure efficient human-machine interfacing. On the other hand, our proposed framework of eye balls tracking provides an autonomous human-machine interface. The proposed framework integrates the useful information extracted from camera captured frames focusing the eye-ball position for accurate maneuver detection; instead of determining the movement of eye-ball using sensors and feeding the result for cursor’s positioning; a direct link is developed between machine’s hardware and human’s eye which minimize the hardware requirements. Moreover, this technique is more efficient, as increasing the number of frames per second, enhances the precision and monitors extremely small positional changes creating a perfect and swift response accordingly. Furthermore, the proposed framework is beneficial for hand free computing.

Keywords: Electrooculography; Mouse Cursor Controller (MCC); Human-Machine Interface.

Ishrat Fatima

Department of Computer Sciences Muhammad Ali Jinnah University, Karachi

Google Standard Identifier


Google search engine is used by almost 90% of the internet users to find the related websites or web pages on different topics they are looking for. Google displays results in the form of list of related websites and web pages. However Google search engine display list of 11 different websites per page and normally user check about one to two pages for the desired results. A big hectic for Web Developers to code according to the Google standards usually these are the HTML standards which are not considered as a bug, the code execute fine but these lack of standards results in below ranking of website in search engines. To avoid this problem normally the website owner hired Search Engine Optimization (SEO) experts who apply different techniques to display website on first page ranked but this is time taken & costly.

Shereen Shakira Khanzada

Department of Computer System Engineering Quaid-e-Awam University of Engineering Science and Technology, Nawabshah

Computer Interaction Using Laser Pointer


In recent years high quality interaction devices have become very popular in our environment. The industries are also currently undergoing rapid change and various technologies have been explored to enable these capabilities. Projection systems using beam projectors and laser pointer became the ubiquitous infrastructure for command technology. Group meetings and other non-desk situations require that people should be able to interact at a distance from a display surface. This paper presents new interaction techniques that use a laser pointer to directly interact with display on a large screen. The camera is subsequently used to detect the position of the pointing device (such as a laser pointer dot) on the screen, allowing the laser pointer to emulate the pointing actions of the mouse. The laser pointer will behave as an active point on the projected display where the user can interact. This vision-based system is augmented with a natural interface that enables the user to interactively refine the suggested rectification. This makes it very easy for users to execute fast and Continuous commands. The interaction model developed behaves like a “smart interaction system.” The vision based interaction system requires no special hardware and runs on a standard computer.


The notable determination of this investigation paper to advance earthquake estimate Scheme for the Asian. This model would provoke the seismologist, earthquake engineers, geologist, geotechnical specialists and other experts embolden and motivate them in the direction of earthquake expectation and telecasting system for Asian and world motherlands. The elementary purpose of this artefact to detect the mysterious waves which cause the subordinate waves. The main complications of this world to variety the earthquake model for the wave’s exposure that’s foundations earthquake. In this tabloid we projected the model for the earthquake prediction and telecasting system for the may be save millions of lives from the death. The main perseverance of this research to serve impermanence and save the lives of the people of the world from natural misadventure. The primary single-mindedness of this research to variety world warning system for the every countries of the world. We improved Erdic Mustafa model for Pakistan South Asia. The Erdic Mustafa has so many flaws but our model is excellent in the world. It is a kind of abstract which is transliterated mutual people of the world which easily understand the disagreements vocabulary. The all system would work on solar and geothermal energy, because all sensors of the scheme would be installed with different coastal areas of the Asian countries like Pakistan, Saudia Arab.

department of Chemistry & Mechanical

Amina Bello Mahmoud

Department of Chemistry Nigeria Police Academy, Nigeria

Determination of percent ascorbic acid in tangerine, pineapple and water melon

Bilal Mapkar

Mechanical Engineering Manipal Academy of Higher Education Dubai

Design and Fabrication of Water Car using Experimental and FEA Technique


This project deals with the design and fabrication of a water powered car. The sustainable energy system plays a very important role nowadays because of various limitations in the exhaustible fuels and the pollution. The proposed car incorporates a water turbine which is rotated by the high pressure developed by the powerful pump and specially designed nozzle. The work produced by the turbine is stored in the batteries and the same work is used to run the overall system. Maximum rotation of the turbine power and efficiency is calculated by both theoretical and experimentation. Both the results and compared and validated. The system is modeled in CREO software and tested in Ansys Workbench to obtain structural stability. The system is fabricated using Aluminum for the cups of the turbine and Mild Steel for the chassis.

Keywords: Sustainable Energy, Water Turbine, Power, Mechanical Efficiency & Velocity

Mihir Vaidya

B.Tech Mechanical Engineering Symbiosis Institute of Technology

Application and Effects of Standardisation and Quality Management Techniques in an Automobile Manufacturing Plant


Total Quality Management and Standardisation techniques used in various industrial processes have become a common norm in today’s manufacturing sector. Globalization has led to a race between multi-national manufacturing organisations to create and distribute products using cost effective but higher quality processes to manufacture products. Six Sigma, in itself is a part of total quality management. It is effective in certain organisations but its implementation is difficult due to differences in work cultures, cost of analysis and implementation. The effectiveness of Kanban, 5S, time cycle techniques as well as Lean have been explained in this article. This article also explains the use of various TQM techniques used in an automobile manufacturing plant in India and its effects on the daily rate of production and costs over a period of 6 months.

Fathima Arshad

Research Scholar Khalifa University/Abudhabi

Waste Water Treatment Using Functionalized Graphene Oxide Hydrogels


Wastewater treatment is increasingly becoming complex due to new industrial developments like fracking in oil & gas industries. Owing to easy operationalities and simplicity of design, adsorption was found to be a preferable choice for the removal of metal ions selectively (Arias et al. 2005). This paper aims at using hydrogels comprising of sodium alginate (SA) and functionalized graphene oxide (GO) as an adsorbent for removal of heavy metals from waste water owing to their exceptional properties (Yuan et al. 2013; Banat, 2014).

Prince Johnson

Mechanical Engineering Department Khalifa University, Abu Dhabi, UAE

Effect of Shot -Peening and Imidazole on The Corrosion Resistance U -Bend SS316L


This study is an examination on the combined effect of shot peening and application of corrosion inhibitor on the corrosion behavior of Austenitic stainless steels (316L) in chloride solutions under constant stress. The constant stress is applied to the samples by U-bending process. The surface hardness of U-bended samples are improved by shot-peening process. The surface morphology of samples are analyzed in different testing and corrosive environments by using Scanning Electron Microscopy (SEM) and Optical Imaging Microscopy (OIM). Electrochemical techniques; open circuit potential (OCP), linear polarization resistance (LPR) and Tafel analysis are used to determine the reduction of the corrosion rate of samples by shot-peening and application of Imidazole as corrosion inhibitor in chloride environment. The results from the electrochemical tests indicate that the combined application of shot peening and Imidazole has resulted in a higher corrosion resistance behavior and hence less corrosion rate of SS316L in chloride environment and the overall efficiency of the material increases to about 58% using the combined application.

Keywords: Shot Peening, Corrosion Inhibitor, Pitting, Stress Corrosion.

Shahid Mohamed Parapurath

Mechanical Engineering Khalifa University, Abu Dhabi, UAE

Effect of Acidity on the Corrosion Behavior of Heat Treated S275 Steel under Constant Stress


In this stud, the effect of heat treatment on the microstructural and electrochemical properties of mild steel material under stress is studied. Two different heat cycles were performed in order to study the microstructural differences. For strengthening the material, austenitizing and then quenching, and to regain the ductility and toughness tempering type of heat treatment was performed. Microstructure of the FEA analysis and tensile test results. Electrochemical measurements and corrosion testing were conducted in NaCl solutions at pH 4 and 7. Heat treated samples under constant stress had lower corrosion rate than original samples at both acidic and neutral environment. The corrosion rate in acidic environment was increased by 23.5% than neutral environment for original sample, however, this change is reduced from 23.5% to 12.8% by heat treatment.

Melad Mohammed Fahed

Department of Chemistry & Mechanical Khalifa University, Abu Dhabi, UAE

Assessment of the Integrity of Internally Corroded API Carbon Steel Pipelines


Carbon steel pipelines are renowned for its long-term resistance to the hydrostatic pressure of the transported fluid. Nevertheless, failure of carbon steel pipes can be catastrophic if not predicted or mitigated properly. One of the most common failure causes in carbon steel pipelines is corrosion of the pipeline inner and outer surfaces. The corrosion on pipeline walls will eventually lead to severe loss of material to a point which will cause complete loss of pipeline integrity


Carbon steel pipelines are renowned for its long-term resistance to the hydrostatic pressure of the transported fluid. Nevertheless, failure of carbon steel pipes can be catastrophic if not predicted or mitigated properly. One of the most common failure causes in carbon steel pipelines is corrosion of the pipeline inner and outer surfaces. The corrosion on pipeline walls will eventually lead to severe loss of material to a point which will cause complete loss of pipeline integrity.

This study will assess the burst pressure of predefined internal corrosion-defected API carbon steel pipelines through FEA using ABAQUS software. A parametric study considering a developed set of defect geometrical parameters, as well as the mechanical response of the pipe material, is conducted. The parametric study is performed through FEA to investigate the influence of the highlighted parameters to the overall burst pressure of the pipe. A closed-form solution was developed as a result of the parametric study for the influential parameters, which permits direct substitution of parameters to assess the defected pipe integrity.

department of Chemistry & Mechanical

Mona Bahmad

Assistant professor Khalifa University, Abu Dhabi, UAE

Direct Solar Desalination Using Nano/Micro-porous Polymeric Membrane via Thin Film Evaporation


Evaporation from micro/nano structures is a ubiquitous phenomenon which plays an important role in nature and industrial applications, such as transpiration in plants, mammalian perspiration, electronic cooling and water desalination. Thin film evaporation from nanoporous membranes is a promising thermal desalination approach because it utilizes the passive capillary pumping of liquid to the evaporating interface and allows for high heat transfer rates due to the large evaporating area in addition to the capillary pumping driving force. In this study, solar energy was used as a heat source to evaporate seawater through in-house fabricated polyvinylidene fluoride (PVDF) nano/micro-porous membranes. Compromising between the available area for evaporation via changing pore size and the available material for conductive transfer of heat to the liquid thin film is complicated. Since more porous membrane increases the evaporation surface area and at the same time this leads to having less conductive material for heat transfer which at the end will reduce the evaporation rate. The main objectives of this study are, firstly to investigate the pore size effect on the vapor flux by fabricating flatsheet membranes via a phase inversion process with 12 wt% of PVDF and 500 µm thickness, and varying preparation parameters such as relative humidity and exposure time to achieve different pore sizes. Secondly to examine the thermal conductivity effect by blending different concentrations of fumed silica (1, 2, 3, 4, or 5 wt%) with the polymeric solution. The fabricated membranes were characterized by scanning electron microscopy (SEM), contact angle analyzer (CA), Fourier transform infrared spectroscopy (FTIR), capillary flow porometery (CFP), porosity and AFM, to further understand the observed thin film evaporation effects. The preliminary results showed, the mean flow pore diameter of the fabricated membranes are 117.2 nm, 123.3 nm and 206.6 nm and there porosity 28.4 %, 46% and 33% respectively. Also, the contact angle analyzer proved the hydrophobicity of these fabricated membranes since the contact angle was found to be above 95°.

Sahith Reddy Madara

Department of Aerospace Engineering Amity University Dubai, UAE

Impact of Process Parameters on Surface Roughness of Hastelloy using Abrasive Waterjet Machining Technology


Abrasive waterjet cutting is one of the unconventional cutting processes capable of cutting extensive range of difficult-to-cut materials. This paper assesses the impact of process parameters on surface roughness which is a significant machining performance measure in abrasive waterjet cutting of hastelloy. The experimental parameters were selected based on Taguch’s design of experiments. Experiments were conducted in varying nozzle traverse speed, abrasive mass flow rate and standoff distance for cutting hastelloy using abrasive waterjet cutting process. The effects of these parameters on surface roughness have been discussed.

Keywords: hastelloy, mass flow rate, traverse speed, standoff distance, garnet

Sampath S

Assistant Professor Manipal Academy of Higher Education, Dubai

Estimation of Power in High Altitude Freely Suspended Wind Turbine


Conventional wind turbines are restricted in its use due to certain limitations and challenges in its position. To use wind turbine efficiently and economically, it is required to overcome space requirements, noise, variation in air current and set up cost. This study attempts to design and fabricate suspended wind turbine to overcome the above stated hurdles. In this current work, the blades and the alternator are placed in the helium balloon housing which is suspended in the air and supported to the ground with tether. A tether made of conductive material is to transmit the generated power from the airborne housing to the ground base. Blades are made of aluminium and it ensures low rotational inertia. The proposed suspended wind mill in this study is able to generate power output which is comparatively cheaper than conventional wind turbines and also work will be able to cater the needs of electric power to remote areas and farms. Entire setup is modelled in 3D software Creo and the simulation is carried out using ANSYS software.

Keywords: Alternator, finite element method, turbine blade, renewable energy, power

Arwa AlShareif

Assistant Professor Research Scholar, Gandhigram Rural Institute

Development Of Solar Absorbing Nanoporous Membranes For Direct Solar Seawater Desalination

department of Civil & Structural Engineering

Mr Honey Mehra

Assistant professor Geotechnical Engineer in SMEC,India

Challenges in Design of Underground Metro Stations


Underground Metro station is a very complex structure which involves numerous challenges in design as well as construction. Due to limited space in cities and the problems faced in urban transportation around the world a large no of underground metro stations have been built/ are being constructed .Noteable examples are Liverpool street in London,Chatelet – Les Halles in Paris, Fulton Street in NewYork,Shibuya in Tokyo, Changshu Road in Shanghai and Shalimar Bagh in Delhi. However the construction of underground metro station involves both temporary structures and permanent structures


In Korea, construction waste has been increasing steadily due to the redevelopment of aging buildings, and problems with aggregate supply and demand have been increasing due to limited natural aggregate reserves. The recycled aggregate is a solution to this problem, but when used as a structural member, the cement paste attached to the aggregate surface causes low compressive strength and high water absorption rate, which lowers the reuse rate. Therefore, we are trying to confirm the applicability of CFT columns to the actual building structural members by filling the concrete with recycled aggregate. In this study, we developed 50 MPa concrete and fabricated 18 specimens of CFT columns filled with recycled aggregate concrete. The parameters are the type of steel tube and the ratio of concrete strength to concrete strength. The compressive behavior of the cyclic aggregate concrete filled CFT column was analyzed through the load - displacement curves and the performance was verified by the existing strength equation of the international code.

Index Terms: recycled aggregate, CFT column, concrete filled tube, mixing ratio, 50MPa, compression performance


Many offshore structures are constructed in locations that are earthquake prone, and therefore, their seismic designs are required. However, in these cases, the selection of the acceleration time series for seismic design is difficult because recorded ground motions at the ocean bottom seafloor are limited. Recently, the Japan Agency for Marine-Earth Science and Technology (JAMSTEC) installed the ocean-bottom seismology network (DONET) at the offshore of Kii Peninsula in Japan. Twenty stations are recording three-component time series using accelerometers and seismometers. These time series are publicly available since 2012 at the JAMSTEC website ( This study selects and processes time series from DONET of representative shallow crustal earthquakes to develop an ocean bottom ground motion database for seismic design of offshore structures. To do this, the study reviews the instrument responses of the accelerometers and the seismograms to determine the frequencies that can be used in design. The recorded ambient noises are compared with the recorded ground motion to evaluate the quality of the signal, then filtering and baseline corrections are applied. The database will be composed of these reviewed and corrected time series. Finally, the corrected data are compared to the ground motion prediction models for shallow crustal earthquakes in Japan to understand the attenuations and site effects at ocean-bottom seafloor.


High strength bolts are used for connection of steel structures, and these are mainly of the torque shear type, which are designed to fracture by shear force at a predetermined torque. Although the manufacturers specify the clamping load of high-strength bolts dependent on diameter, no method has been available for measuring the clamping force at the onsite, when the bolt is actually fastened. Thus, a nondestructive testing method was developed the first in the world, that can measure the clamping load when fastening the bolt to an actual steel structure joint. There are two key elements in this method: the algorithm that synchronizes the load displayed in the clamping force meter taken form the existing analog device and measures the amount of cumulative electric energy required by the electric torque wrench, which is used for fastening the bolts at the time of measurement, and the prototype of the test device that embeds this algorithm. The technique developed in this study achieved a reliability within 5%, with respect to the actual clamping load.

Keywords: Bolt, Tension, Current, Wrench, Torque

department of Applied Science, EEE, ECE, Power & engineering

Sahrish Ghaffar

Basic and Applied Sciences International Islamic University, Islamabad

Measuring the Scientific Impact Using Citation's Context


The impact of a publication and scientific evaluation is often measured by the number of citations it received. Citations plays very important role for scientific evaluation and for measuring impact of publications. In previous study only number of citations was counted for measuring publication impact and for scientific evaluation. However, a higher citation index does not necessarily mean that a publication necessarily had a positive feedback from citing authors, as a citation can represent a negative criticism. Here citation is a combination of positive, negative and neutral citations. We apply sentiment analyzer technique to rate citations as positive negative and neutral and then explore Conflict of Interest (COI) relationship by using Positive and Negative COI Distinguished Objective Ranking (PANDORA) algorithm and discover negative citation and weaken the associated citation strength. Our findings will help the authors to find out the impact of any author fairly by taking into account not only number of citations but also contexts of citations, whether it is cited positively or being criticized by some author.

Sulaiman Khan

Department of Electrical Engineering Muhammad Ali Jinnah University, Karachi

Pitch Control Of Wind Turbines With Fuzzy Controller


As we know, Fossil fuels are declining day by day which has lead researchers to think about an alternate. As the world does not contain enough fossil fuels to supply electrical power to the whole world therefore Renewable energy is the new focus of modern researchers. Renewable energy especially solar and wind are widely used. Power quality is a very important problem in wind turbine. Due to the dynamic nature of this source the power quality issues occur. These issues mainly occur due to the variable nature of wind which consequently distorts the power output of the wind turbine. Add problems here if you want to but don’t make it long. It’s just a summary so keep it short. To tackle these problems control techniques are widely developed. In this research we have acquired the complete transfer function of wind turbine based power plant and step response based analysis has been made to evaluate the best pitch control technique. A PID and Fuzzy controller are implemented and step response is compared. Results clearly show that the Plant has best response under Fuzzy controller.

Keywords: Wind Turbines, Renewable Energy, Pitch Control, PID Controller, Fuzzy Controller

Shahnaz Shahani

School of Energy and Power Engineering Xi'an Jiaotong University, Shaanxi, China

Investigating the Effects of Mechanical properties of Wood-Plastic Composites from MSW of China


China is facing major environmental problems associated with municipal solid waste generation, due to fast growth of urbanization and industrial development. It is required to develop satisfactory technique of recycling waste into energy by injection molding and extrusion molding process to produce wood plastic composites. It is promising solution, with great contribution in structural and non-structural engineering. 70% of different types of wood flour particle size of 20, 40, 60 and 80 collected from Xian furniture market and 25-30% polymer matrix collected from the Xi'an Village of garbage plant consists of 83% polyethylene (PE), 7% polypropylene (PP), 9% polyvinyl chloride (PVC) and 1% polyurethane mixed together to produce wood plastic composites. Additives used to enhance the inter-facial bonding and strength of material. Wood flour affects and the quality of wood plastic composites with its mechanical properties such as tensile strength, bending strength, impact strength and water swelling ratio were examined.

Keywords: Wood-Plastic Composite (WPC); Mechanical Properties (Flexural strength; Tensile strength; Impact strength)


Assistant Professor-Dept of ECE Narsimha Reddy Engineering College, Hyderabad

Investigating the Effects of Mechanical properties of Wood-Plastic Composites from MSW of China


In this paper, two Hybrid Thresholding schemes (TH-I and TH-II) have been proposed by the authors and successfully used in Wavelet Thresholding the Multitaper Spectrum for Speech Enhancement. The two Hybrid Thresholding schemes are formulated by incorporating the arctan function and exponential function suitably in Hard and Soft thresholding methods. To address the “musical noise” encountered in most of the frequency domain speech enhancement algorithms, Yi. Hu and P.C. Loizou have proposed the Wavelet Thresholding the Multitaper Spectrum Speech Enhancement with Hard and Soft Thresholding schemes. This paper investigates further improvement of Speech quality in terms of six objective quality measures using Discrete Wavelet Transform Thresholding the Multitaper Power Spectrum with the above proposed two Hybrid Thresholding methods. The performance of the new Hybrid methods is compared with the other thresholding methods. It is observed that, further improvement is observed with the proposed schemes when applied to noisy speech signals of low SNR (0dB) conditions. The results showed that, the use of Multitaper Spectrum estimation combined with wavelet Hybrid Thresholding yields better quality in terms of six objective quality measures. This Algorithm incorporates the noisy speech signal divided in to overlapping frames and each frame is subject to the Multitaper Power Spectrum estimation using either SLEPIAN(Discrete Prolate Spheroidal Sequences) or SINE Tapers and applied to the Wavelet Thresholding the Multitaper Spectrum based Speech Enhancement Algorithm and the enhanced speech is reconstructed in its time domain. Analysis is done using Daubechies and Symlet wavelets with different real world noisy environments as well as white Gaussian Noise. Six Objective quality measures are considered in this study to test the performance of the algorithm for enhanced speech quality and compared. The proposed two Hybrid Thresholding methods perform better than hard, soft, improved and modified improved thresholding methods for Wavelet Thresholding the Multitaper Spectrum based Speech Enhancement.

Keywords: Multitaper method, power spectrum estimation, wavelet hybrid thresholding, modified arctan function, speech enhancement