bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of Knowledge Acquisition, Information Capability and Relationship Quality on Product Innovation Flexibility Among Manufacturing Firms in Malaysia
Authors: Vani Malasamy Gogila , Nadarajah Devika , Adal Mehmood Sultan
Published: July 2018

Knowledge management is the process of identifying, creating, assimilating and applying corporate knowledge to take advantage of new opportunities and enhance organizational performance. It involves both internal and external organizational capabilities. This study focuses on information capability, knowledge acquisition and relationship quality as capabilities pertinent to organisations aiming to achieve greater product innovation flexibility. Understanding and improving product innovation flexibility is crucial in the context of Malaysia in order to enable the nation to be at par with other countries enjoying better knowledge capital. Central tenets in building knowledge capital are creativity and innovation. The study is carried out in the manufacturing arena specifically on Electrical and Electronics (E&E) subsector as this subsector has achieved remarkable growth and has significant influence over the Malaysian economy. Quantitative research method using survey instrument was adopted in this study. Interestingly, the findings from this study revealed only knowledge acquisition and relationship quality as having significant relationship with product innovation flexibility. The findings are important to research and practice. Firms setting out to improve product innovation flexibility should pay careful attention to knowledge acquisition and relationship quality.
A Conceptual Framework Explaining the Impact of Perceived Career Growth and Organisational Justice on Intention to Stay Among City Traffic Police Lahore
Authors: Adal Mehmood Sultan , Nadarajah Devika , Saood Akhtar Muhammad , Ahmed Brohi Noor , Ahmed Khuhro Mansoor
Published: July 2018

This paper presents the conceptual framework of intention to stay among City Traffic Police, Lahore.  The high turnover rate among city traffic police officers in Lahore has drawn the attention of the Government as well as academicians. It is believed that city traffic police in Lahore may feel there is limited prospects of career growth and may have negative perceptions on organisational justice. Nevertheless, this has yet to be examined in greater detail. Therefore, this conceptual paper offers a research opportunity to study the impact of perceived organisational justice and career growth on officer’s intention to remain in the organisation. Social exchange theory is applied to this framework. Following this conceptual paper, a full study will be carried out using quantitative research methods. It is hoped that the findings will benefit the City Traffic in Lahore and contribute to the body of knowledge on social exchange theory.
The Potential Role of Value Management in Construction Industry Using Primavera
Authors: Subramani T , Cherian Joe
Published: July 2018

EVM (Earned value management) is a undertaking management tool that uses records primarily based on value, agenda and work performance to outline the modern fame of the project. This facilitates the supervisor to extrapolate current developments to predict their probably very last impact. this approach is proved effective in fee manage. the primavera is project management software program which enables customers to track and analyze performance of task. The document wizard in primavera creates custom designed reviews that extract precise records from its database. The paper outlines the fundamental principles of the EVM & how it could be used effectively for unique challenge with assist of primavera. Additionally a few advantages and headaches of EVM as regards  to Indian creation area. Many construction tasks be afflicted by time and value overruns because of a multiplicity of things. This technique allows everything in evaluation of all budgeted value of work to real value. The existing have a look at deals with the scheduling and venture tracking manner alongside it also discusses principal parameter’s involving in the calculation of earned cost analysis in fee and time control of civil construction project. Using an example of real time venture, methodologies and analysis are demonstrated in this paper.
Analytical Study of Physical & Mechanical Properties of Foamed Concrete Using ETABS
Authors: Subramani T , Amul R
Published: July 2018

Foam concrete is a form of aerated lightweight concrete. Foamed concrete has emerged as most industrial fabric in Production Company. Foam concrete is produced while pre-fashioned foam is brought to slurry, the characteristic of froth is to create an air voids in cement–primarily based absolutely slurry. Foam is generated one by one via using foam generator; the foaming agent is diluted with water and aerated to create the froth. The cement paste or slurry set throughout the foam bubbles and whilst the froth being to degenerate, the paste has enough power to keep its form around the air voids. Consequently, this study investigates bodily and mechanical residences of foamed concrete. Ultimately comparative analyses had been finished to decide the relationships the various numerous mechanical homes parameters of the foamed concrete, especially the compressive strength, flexural electricity, splitting tensile electricity. The specimen analysed by means of the usage of the use of e- tab software program.
Analytical Study of Tall Building with Outtrigger System with Respect to Seismic and Wind Analysis Using ETABS
Authors: Subramani T , Murali K
Published: July 2018

Today the development of structural system goes beyond the unexpected level. To overcome the problems persist in the structural behavior numerous studies has routed out. On this present have a look at is targeted at the performance of multi outrigger structural system for a ten storey constructing with static and dynamic analyses of various fashions were examined the use of ETABS software program. The performance analysis of the tall building for distinctive fashions are performed to discover the surest function of outrigger gadget and belt truss with the aid of the usage of lateral loads. Time history analysis for floor movement statistics of the ten storey building version are carried out. The evaluation includes lateral displacement; storeys go with the flow and base shear for static and dynamic loading. From the acquired results the effective performance of building with outriggers are evaluated. Our project describes the structural layout of similar 10 storey the use of overall performance based totally strategies for seismic and wind movements.
Construction of Water Table Contour Map and Geo Hydrological Studies on Krishnagiri Using GIS Techniques
Authors: Subramani T , Mathialagan S
Published: July 2018

Geo-hydrology and groundwater exploration manner to pick out and to find the zone of recharge of groundwater in a precise river basin or a catchment .water level contour traces (or waft traces) are much like topographic strains on a map. They fully represent "elevations" in the subsurface. Water table contour lines can be used to inform which manner groundwater will glide in a given region. Plenty of wells are drilled and the hydraulic head is measured in each one. Water desk contours are drawn that be a part of areas of identical head .The ones water table contours lines are also called equipotential strains. Bear in mind: groundwater usually movements from a place of the higher hydraulic head to an area of decrease hydraulic head, and perpendicular to equipotential traces. In our challenge, we put into effect concept of water table contour map and geohydrological studies on Krishnagiri using GIS software program which plays the essential position in contemporary technology.
Applications of GIS and Remote Sensing for Biodiversity Mapping and Conservation a Case Study of Trichy District
Authors: Subramani T , Pasupathy P
Published: July 2018

Utilization of GIS and remote detecting for biodiversity mapping is centers around the use of room borne remote detecting and GIS for biodiversity protection with regards to the best in class innovation which has improved the established approach. It surveys as of now accessible instruments, space-borne or satellite sensors giving information which can be utilized without examination or understanding for concentrate singular life forms, species arrays or natural networks on ground. Along these lines, the picture preparing and GIS procedures created to get data from the caught satellite information are checked on. In our undertaking looking into the utilization of remote detecting and GIS strategies for mapping, and modeling lichens and their territories.
A Study on Effect of Pollutants on Land and River Due to Discharge of Paper Packaging Factory Waste Water in Erode District by Using Gis
Authors: Subramani T , V.Balaji V
Published: July 2018

In our project mentioned and studied approximately the types of units involved inside the paper packaging manufacturing facility with exclusive tactics are concerned in it and the work done in these procedures. Acquire the wastewater and the sources of wastewater in exceptional procedures and also the effect of this waste count number on the ecosystem. Those industries discharge wastewater that is characterized with the aid of excessive chemical detail element demand, organic element demand, vitamins, and natural and inorganic contents. Such wastewaters, if discharged also has no longer correct treatment, seriously dirty receiving water our bodies and disrupts complete scheme. Moreover, the Indian authorities has imposed terribly strict regulations and rules for effluent discharge to save ecology. As a result, suitable remedies ways are required therefore on meet the effluent discharge standards
Exploring the Core Attributes of Digitalization Causing High Impact on Learning Trends Of Students Using LIFAM
Authors: Martin Nivetha , Pandiammal P
Published: July 2018

In the existing educational scenario, the mechanisms of teaching and learning that are conventional have to be enriched unanimously to promote the development of the student community in all dimensions. The present government rings the bell of Digital India, which targets in making the service sectors to be digitally empowered. But in recent days, digitalization has stepped into almost all the fields and education is not an exception to it. The traditional blackboard teaching method was replaced by ICT techniques, but the learning strategies remained customary. To bring a change in the learning mode, the student community has to be provided a platform to learn at their own pace, which can be achieved by imparting the digital way of learning. Incorporation of Digitalization into teaching cum learning domains will pave way for Glean knowledge. Though there are many confrontations in implementation, the degree of the positive effects is high. This paper primarily aims in determining the effects of core factors of digitalization causing major effects on student’s learning mode using a novel approach of Linguistic Induced Fuzzy Associative Memories (LIFAM).
Fortunella japonica extract as a reducing agent for green synthesis of silver nanoparticles
Authors: Phung Anh Nguyen , Thi Ai Mi Truong , Huynh Thanh Linh Duong , Thi Thuy Van Nguyen , Tien Cuong Hoang , Van Minh Nguyen , Tri Nguyen
Published: July 2018

A rapid way of synthesizing silver nanoparticles (AgNPs) by treating Ag+ ions with a green Fortunella Japonica (F.J.) extract as a combined reducing and stabilizing agent was investigated. The reaction solutions were monitored using UV-Vis spectroscopy, the size and shape of crystals were determined by scanning electron microscopy and transmission electron microscopy, the crystalline phases of AgNPs were presented by X–ray diffraction, and the relation of nanoparticles with Fortunella Japonica extract was confirmed using fourier transform infrared spectroscopy. The results indicated that no formation of AgNPs had taken place in the dark during 24 hours at room temperature and 40 oC. Meanwhile, it was found that the rate of AgNPs formation increased rapidly under the sunlight. The effects of the synthesis factors on the AgNPs formation were investigated. The suitable conditions for the synthesis of AgNPs using F.J. extract were determined as follows: F.J. extract was mixed with AgNO3 1.75 mM solution with the volume ratio of 3.5 AgNO3 solution/1.5 F.J. Extract, stirred 300 rpm for 150 minutes at 40 oC under sunlight illumination. At these conditions, AgNPs showed high crystalline structure with the average size of 15.9 nm. The antibacterial activity of silver nanoparticles was determined by agar well diffusion method against E. coli and B. subtilis bacteria. The green synthesized AgNPs performed high antibacterial activity against both bacteria.
Failure Analysis of Graphite Epoxy Composite Plate Under Transverse Sinusoidal Load
Authors: Fazli Adull Manan Nor , Firdaus Mohd Jam Mohammad , Kumar Sahu Shishir , Mahmud Jamaluddin
Published: July 2018

Composite material become interest on various applications in wide industry globally. The selection of composite material due to its versatile properties for instance high specific strength. Besides, the properties of composite material also tailorable for various application including automotive, aerospace and marine industry. The objective of this study is to perform the failure analysis of composite material under transverse sinusoidal load. Both failure criteria, Maximum Stress and Tsai-Wu Failure Criteria that provided in ANSYS used to carry out the analysis. Various aspect ratios will be used which are 5, 10, 20, 50 and 100 to perform the analysis with different thickness of laminate. Next, the boundary condition of the plate was set to simply and clamp supported. The finite element analysis of graphite/epoxy laminate with layup of (0/90/90/0) performed to determine the failure loads (First Ply Failure, FPF and Last Ply Failure, LPF loads). The un-normalized load obtained from the analysis is converted to normalized load using equation given. Finally, normalized load is plotted against aspect ratio for both failure criteria and boundary conditions.
Measurement and Experimental Testing of Models for the Estimation of HourlySolar Radiation on Vertical Surfaces at Mexico City
Authors: Y. Maldonado Sánchez Liliana , Valdés Barrón Mauro , Polo Martínez Jesús , Martín Chivelet Nuria
Published: July 2018

This paper presents the results of measuring global solar irradiation in horizontal and vertical surfaces North, South, East and West with the aim to determine the energy loads in which buildings are subjected to in Mexico city, in order to provide the necessary information firstly, for planning and design of new buildings and secondly, for cost benefit analysis in the adaptation of already built structures. Solar irradiation on vertical surfaces plays a major role to determine thermal and energy performance of a building especially important for analysis of active and passive solar systems. A full year data of measurements (2014) have been compiled and analyzed. In addition, the hourly data of this horizontal and vertical measurements were compared with hourly radiation data calculated by means of two different models: the isotropic sky model (Hottel and Woertz model) and one anisotropic sky model (Perez model).  The performance of the models were assessed by two common statistical parameters: the relative root mean square error (RMSE) and the mean bias error (MBE). Perez model presented better performance through the year in north, east and west façades, and the isotropic model in south façade.
Study on Vertical Profile of 210Pb and Sedimentation Rate at Pantai Remis Coastal Area and Kuala Selangor Estuary
Authors: Kalsum Abdul Karim Umi , Saat Ahmad , Izzharif Abdul Halim Mohamed
Published: July 2018

Two sediment cores in Kuala Selangor estuary and Pantai Remis coastal area were obtained using gravity corer and then were analyzed using Alpha Spectrometry System. In order to estimate the sedimentation rate in the area, 210Pb dating technique and Constant Rate & Supply (CRS) model were used. From the study, the vertical profile of 210Pb shows a decreasing trend with depth and finally achieving a constant level. Based on the vertical profile of 210Pb, activity of excess 210Pb was obtained and was used to determine the sedimentation rate in the study area. Pantai Remis coastal area shows high sedimentation rate than Kuala Selangor estuary which may due to high sediment input in the area. Besides, the differences in sedimentation rate might be attributed to highly variable sedimentary and hydrodynamic conditions in the estuary and coastal area.
Fatty Acid Methyl Esters Production from Waste Catfish Fat (Pangasius Hypothalamus) Using Barnacle-Zno As A Catalyst
Authors: Norhafiza Mohd Khazaai Siti , Farah Wahida Abdul Wahid Baki Nur , Pragas Maniam Gaanty , Hasbi Ab. Rahim Mohd
Published: July 2018

The abundance and diverse populations of Barnacle shells catching the intention as a source of calcium oxide catalyst to transesterify waste catfish fat into methyl ester. Calcium oxide supported with zinc oxide was prepared by ball milling method at 1:2 ratios, calcined for 3 h at 400 °C. The characterization of catalyst revealed both metals were well integrated into a bimetallic oxide. The optimal conditions were found to be: methanol/oil mass ratio, 10:1; catalyst amount, 11 wt% at the reaction temperature, 65 °C with 3 h of reaction time achieving 85.7% of methyl ester conversion. Both feedstock and catalyst from waste source have been successfully utilized to produce biodiesel.
Improved hybrid inter and intra-cell interference cancellation mechanism for LTE-A HETNETS
Authors: S Shibu , V Saminadan
Published: July 2018

In Heterogeneous networks (HetNets), operators need to ensure reliable service to their users in terms of network performance and low cost. The growing demand of user traffic necessitates the incorporation of femto cells and pico cells for facilitating seamless services. The network performance of Long Term Evolution (LTE) and LTE Advanced (LTE-A) HetNets is drastically influenced by the degree of interference that is realized in the inter-cell and intra-cell during communication. In this paper, an Improved Hybrid inter and intra-cell interference cancellation mechanism (CRS-IIC-LFLS) is propounded for handling interference at the inter and intra-cell level. Inter-cell interference cancellation is achieved through the use of an Improved CRS-IIC algorithm that uses the benefits of Linear Filtering Least Square (LFLS) method for channel estimation. CRS-IIC-LFLS is found to potent in rapid interference cancellation facilitation by suppressing the noise level, reducing the impact of fading channel and inherently eliminates small energy aware paths from large energy aware paths. The Simulation results confirm that the proposed scheme ensures better network throughput under light load, medium load and heavy load conditions of the network. The results prove that the performance of CRS-IIC-LFLS with CRS-IC-LFLS and CRS-IC-LLS based on spectral efficiency is improved at a mean rate of 21% and 26% respectively. The simulation results also portrays that the increase in the spectral efficiency of CRS-IIC-LFLS (64-QAM) is phenomenal to a maximum improvement of 12% over CRS-IIC-LFLS (16-QAM).
Tracking self-assembly morphology of cationic peptide analogues using turbidimetric- potentiometric titration
Authors: Ling Tan Huey , Pei Lim Ying , Sufian So’aib Mohomad
Published: July 2018

Peptide amphiphiles are promising molecular materials for drug delivery systems and regenerative medicine through formation of well-ordered nanostructures. Rationally designed self-associating synthetic peptide analogues containing arginine (FEFEFRFR) and lysine (FEFEFKFK) were studied to understand the effect of pH and side chain interactions and its influence on the resulting nanostructure formation. Changes in structural conformation in bulk were followed by turbidimetric-potentiometric titrations with pH ranges from 4 to 11 and 4 to 12.6 for FEFEFKFK and FEFEFRFR respectively. Fourier Transform Infrared Spectroscopy (FTIR) was used to determine the secondary structure of the peptides while Field Emission Scanning Electron Microscopy (FE-SEM) was employed to study the morphology and dimension of higher order structures at various pH. Turbidity results showed that both FEFEFKFK and FEFEFRFR displayed higher turbidity level when their side chains were neutralized, in which FEFEFRFR showed higher turbidity level when arginine was neutralized. Both peptides exhibited similar self-assembly behavior in solution which mainly adopted antiparallel β-sheets conformation with spherical structures of different micro-metre size when there is a net charge of +2 or -2. FEFEFKFK was also found to form concaved disks and beads-on-a-string arrangement at pH 4. Both the peptide analogues were capable of forming smaller aggregates in a network of spherical structure at nanoscale when the net charge was near zero. This study ultimately provides a better understanding of predicting morphology and size of surface functional modification of self-assembled polypeptides.
Person Recognition by Hilbert Pair of Wavelets using Facial Images
Authors: C Hemalatha , E Logashanmugam
Published: July 2018

In human identification, the face acts as an important tool that carries the identity of each person. The human mind has the ability to re-cognize faces after the first view of a human face. Though there are many types of face detection/recognition system found no method can give the 100% accurate outputs. In this proposed system we are implementing and analyzing a new method that can be used for person recognition system that can produce better output accuracies. In the proposed system of person recognition method, one of the robust wavelet transform methods is used for the extraction of the features from the original images. The wavelet type used is known as the Dual Tree M-Band Wavelet Transform (DTMBWT) method. Using this transform the low and high sub-bands is obtained. These low and high sub-band coefficients are given as the input for the classification purpose. The sub-band obtained from the DTMBWT transform is given as the inputs for the classification purpose. The classification process is done using the K-Nearest Neighbor (KNN) classifier scheme. The system is implemented by using the facial images from the ORL database. By using this dataset images the performance measures of the proposed system is calculated in the form of graphical results such as Receiver Operating Characteristic (ROC), Inverse ROC and Expected Performance Curve (EPC) curves. Results show that proposed DTMBWT based face recognition provides better results than other approaches.
Enhanced and Explored Intuitionistic Rough Based Fuzzy C-means Approach for MR Brain Image Segmentation
Authors: Prasanthi B , N. Nagamalleswararao Dr
Published: July 2018

Segmentation of magnetic resonance images is medically complex and important for study and diagnosis of medical brain images, because of its sensitivity in terms of noise for brain medical images. These are the main issues in classification of brain images. Because of uncertainty & vagueness of brain medical images, so that rough sets, fuzzy sets and Rough sets are mathematical tools evaluate and handle uncertainty and vagueness in medical brain images. Traditionally, different type of fuzzy sets, Rough sets and rough sets based approaches were introduced, they have different several drawbacks with respect to different parameters. So this paper introduces a novel image segmentation calculation method i.e. Enhanced and Explored Intuitionistic Rough based Fuzzy C-means Approach (EEISFCMA) with estimation of weight bias parameter for brain image segmentation. Intuitionistic Rough based fuzzy sets are generalized form of fuzzy, Rough sets and their representative elements are evaluated with non-membership and membership value. Proposed algorithm of this paper consists standard features of existing clustering without spatial weight context data, it defines sensitive of noise in brain images, so that our proposed algorithm deals with intensity and noise reduction of brain image effectively. Furthermore, to reduce iterations in clustering, proposed algorithm initializes cluster centroid based on weight measure using max-dist evaluation method before execution of proposed algorithm. Experimental results of proposed approach carried out efficient image segmentation results compared to existing segmented approaches developed in brain image and other related images. Mainly proposed approach have consists better experimental evaluation based on results.
Controlling of PV-STATCOM for Increasing Power Transmission based on VHDL Signal Generation
Authors: Pragathi B , Suman M
Published: July 2018

Along with Generation of power, distribution of power is equally important.The power produced by the solar farm are utilized only during daytime, the solar farm remain idle during night and operate below capacity in initial morning and late afternoon. A grid connected solar farm uses photovoltaic (PV) arrays for generation of DC power which is transformed to AC using inverter modeling. A FACTS family device STATCOM is centered on a voltage source converter which operates as a rectifier and an inverter is used to enhance steady power transmission limits with reactive power, voltage and damping control. A majorsection of the STATCOM is a voltage source converter which is also anessential element of PV solar module. A novel concept was proposed by which PV solar module can be operated as a STATCOM, known as PV-STATCOM in the night-time and day time. VLSI technology is used to generate the trigger pulses for three phase inverter using the VHDL programming language to generate the signal for the control of inverter section in STATCOM. The HDL compiling and FPGA implementation is done using MATLAB/SIMULINK.
Deep Learning and Indian Heritage
Authors: S.Charulatha B , Rajaraman Arun
Published: July 2018

Deep learning is becoming increasingly necessary as data, information and web and mobile interaction are proliferating with form, type and volume of data becoming easy to store, retrieve and process. This necessity is felt not only in science and engineering but also in social and commercial internet activity. The paper explores some ideas of deep learning to process large data in the context of content extraction in a heterogeneous web page containing multi-lingual information, in the Indian context. This basis is used to explore how Indian heritage over several thousands of years, is able to maintain information and knowledge in certain areas through oral, palm leaf and stone-cut data forms. The paper extends the proposed method to some heritage data and concludes how complex from computing point of view to extract the knowledge and essence of some texts like Bhagavad Gita.
A Compact Multi-band Rectangular Slot Microstrip Antenna for Wi-MAX, WLAN and X-band Applications
Authors: R Banuprakash , S.A Hariprasad.
Published: July 2018

In this paper a rectangular slotted rectangular patch tripple band antenna for wireless applications is presented. The antenna has dimension of about 25 x 20 x 1.6mm3. The antenna operates at the frequencies 3.6 GHz, 5.8 GHz and 7.5 GHz with bandwidth of about 3.61%, 1.03% and 1.07% respectively. This antenna can be used for WIMAX (3.6GHz), WLAN (5.8GHz) and X-band(7.5GHz) applications. The stable radiation pattern, acceptable gain and good impedance matching are observed at obtained frequencies using HFSS tool.
Development and Characterization of Al6061-Zirconium Dioxide Reinforced Particulate Composites
Authors: S Udayashankar , S.Ramamurthy V
Published: July 2018

Particulate reinforced Aluminium based metal matrix composites are widely used in aerospace, defense, marine and space applications because their excellent properties such as high strength, high stiffness, high corrosion resistance, high fatigue resistance, high wear resistance etc., In the present work Aluminum Alloy Al6061-Zirconium dioxide composites were developed by stir casting technique by varying the percentage of Zirconium dioxide in steps of 3% up to 12%.The samples were prepared as per ASTM standards for microstructure study, tensile strength and hardness properties. The microstructure studies carried using optical microscope revealed the presence of Zirconium dioxide particulates in the Aluminium matrix. Also it revealed the uniform distribution of Zirconium dioxide in the Aluminium matrix and no voids and porosity were present in the matrix. The tensile strength and hardness properties were more than the base metal aluminium alloy. The tensile strength and hardness properties were increased with the increase in percentage of Zirconium dioxide up to 9% and decreased there afterwards. The optimum value for hardness and tensile strength of the composite was obtained at 9% of Zirconium dioxide.
Geometric Design of Highways for Accommodation of More Traffic Volume with Increased Design Speed
Authors: Srikiran S , Deepak Kumar S , Venkatasubramanian C , Muthu D , Suriyanarayanan S
Published: July 2018

Road transport plays an important role in India’s economy. It enables the country’s transportation sector to contribute 6.1% towards India’s GDP. The road network in our country is considered as a critical factor to the country’s development, social integration and security needs of the country. The Government of India has promoted foreign investments in highway projects to bring out high standards and quality. India’s road network carries over 65% of freight and 85% passenger traffic. The traffic volume carried by the national highways almost exceeds the designed traffic volume, and hence the desired speed cannot be achieved. Thus, widening of highways becomes necessary. The population growth is also to be considered and hence provision for future widening is to be provided. Our paper deal with the geometric design for widening of NH-9 is carried out using MX-Bentley software as per IRC specifications. This design includes horizontal and vertical profiling throughout the stretch of the road, according to the existing topographic data. The radius of the curve has been increased to make a smooth curve. Also, the vertical profile has been designed based on the allowable gradient and sight distances. From this, accommodation of more traffic volume and increment of design speed seems to be possible.
EOBAA: Enhanced Ontology Based Alignment Algorithm for Mining Frequent Patterns
Authors: Srinivasa Rao D , Sucharitha V , V.V Satyanarayana K
Published: July 2018

Mining frequent patterns are most widely used in many applications such as supermarkets, diagnostics, and other real-time applications. Performance of the algorithm is calculated based on the computation of the algorithm. It is very tedious to compute the frequent patterns in mining. Many algorithms and techniques are implemented and studied to generate the high-performance algorithms such as Prepost+ which employees the N-list to represent itemsets and directly discovers frequent itemsets using a set-enumeration search tree. But due to its pruning strategy, it is known that the computation time is more for processing the search space. It enumerates all item sets from datasets by the principle of exhaustion and they don’t sort them based on utility, but only a statistical proof of most recurring itemset. In this paper, the proposed Enhanced Ontologies based Alignment Algorithm (EOBAA) to identify, extract, sort out the HUI's from FI's. To improve the similarity measure the proposed system adopted Cosine similarity. The experiments conducted on 1 real datasets and show the performance of the EOBAA based on the computation time and accuracy of the proposed EOBAA.
Network Anomaly Detector using Machine Learning
Authors: M. Uma Maheswari K , Pranesh Ashwin , Govindarajan S
Published: July 2018

The 4G network consists of a network of routers on each tower that decides where a certain packet must be switched to. These routers like any other hardware device is subject to failure due to number of factors such as threshold violations and problems with its tuning. The routers and other relevant hardware devices undergo various maintenance cycles that can sometimes be wasteful as the hardware may be replaced even when in complete working condition. This is a measure taken to ensure the network is always up and running. This measures has proven to be expensive and alternative solutions have been looked for. To alleviate the costs involved in the maintenance of these routers, a system will be developed to perform applications such as report failures, find the root cause and implement a remedial action automatically.The prediction of failures in the routers is achieved by unsupervised machine learning while will be trained to pick up anomalies from a continuous stream of log messages sent to system which is then analyzed. The anomaly data is then used to schedule maintenance runs more effectively.
Dye Degradation using Saccharomyces Cerevisiae
Authors: Mathivanan Mahalakshmi , V Prabinth , Chinnaiah S Selvin , Sundaram RS Shanmuga
Published: July 2018

Disposal of dyes into the environment causes serious damage and they may be toxic to some aquatic organisms due to their breakdown products. The colouring pigments present in the effluent may give aesthetic look and it affects the photosynthetic in plants.  The chemical and physical methods have many disadvantages which can overcome by biological method because it is cost saving and environmentally benign. In biological methods, absorbents like Bacteria, fungus, cellular membrane etc. can be used. Since yeast is cheap and more effective it is preferred. In the present study an attempt was made to examine the potential of Saccharomyces Cerevisiae in decolorization of Congo red dye. The influence of different condition in variation of concentration, time and pH in that Study was made to find the optimum condition in which the maximum decolorization was occur. The UV Spectrum shows the maximum wavelength was observed in 496.93. At room temperature, the maximum decolorization of 90.7% was observed in the concentration of 40 ppm(0.004g/100ml) and it took place after 18hrs. In the next experiment, maximum decolorization of 96.88% was obtained in the concentration of 40ppm(0.004g/100ml) and pH of 4 at a time of 17hrs with a dosage of 0.1g in room temperature which is considering to be the optimum condition. The above results show the potential of this Saccharomyces Cerevisiae to be used in the biological treatment of textile effluent under optimum condition.
Physical, Mechanical and Durability Properties of Soil Building Blocks Reinforced with Synthetic Fibre
Authors: Selsiadevi S , Ramani Sujatha Evangelin
Published: July 2018

Earth construction is the most economic way to solve housing problems, particularly in case of low cost building, with the limitation of resources. The simplicity in production of earth blocks justifies by the availability of soil as raw material and by the less energy in production. Generally, fibre inclusion increases the strength and performance of the earth blocks. Synthetic fibre such as AR glass fibre, polypropylene fibre were used and investigated experimentally with different percentages of fibre 0.25 %, 0.50 %, 0.75 % and 1 % by weight of earth. A sequence of test was conducted with and without addition of fibre to soil building blocks. Physical properties, mechanical properties and durability properties specifically density test, water absorption by capillarity test, linear shrinkage, compressive test, indirect tensile stress, wearing test and erosion test were conducted and compared with different fibre ratio to determine the optimum fibre content in each mix order to produce blocks that will provide the maximum strength.
Design and Analysis of Rectangular Microstrip Array Antenna at Ka Band Becon Frequency 20.2GHz
Authors: Kohitha Bai Bondili. , Immadi Govardhani.
Published: July 2018

The design and analysis of single double (1×2) and four (1×4) element linear rectangular micro strip array antennas is done to achieve high gain and directivity. The operating frequency of the proposed array antenna is Ka-band, 20.2GHz which is a Beacon frequency of GSAT-14 launched by ISRO.The substrate material used is common for the single, double (1×2) and four (1×4) i.e. FR4 with a thickness of 0.8mm and the dielectric constant is 4.4. The antenna elements are placed uniform at a same distance. The feeding network used here is a parallel or corporate feed network. The power splitting and impedance matching is done using RF Wilkinson power divider. The entire proposed micro strip phased array antenna is evaluated using HFSS software tool.
Perforated Weir for Effective Operation – A Study
Authors: Gunjalli Gowthami , S Aishwarya , D Muthu , Subramaniam C Venkata , K Ramakrishnan
Published: July 2018

The excess water during monsoon season in the river is retained using low dams and it overflows through weirs. Maintaining the water depth at the required level and increasing the discharge from the weir are the current problems facing now a days. To overcome these problems, a novel sharp crested perforated weir has been developed in this work with different shapes of perforations viz. circle, rectangle, square and triangle having same area of perforation. A total of 24 models were made with single, double, triple opening for each shape, under two different sets of area of openings. The models were examined in a hydraulic tilting flume by keeping the discharge as constant. The variation in head obtained from these perforated weirs for different shapes were compared with a control weir which is a sharp crested rectangular weir. The expected theoretical discharge from these perforated weirs is compared with the actual discharge obtained. The values of coefficient of discharge for different perforated weirs were obtained by minimizing the error and the effective perforated weir is arrived by analyzing the values. This solution can be applied in solving practical problems.
Troubled Projects in Construction Due To Scant Risk Management
Authors: B Subramanyam , R Iswarya
Published: July 2018

This paper will focus on troubled projects in construction due to inadequate and insufficient risk management. Inadequate risk management has the ability to severely impact construction project. The main objective of the present paper is to attempt a composition of already known risk management process, at such way that it can be applied by the modern enterprises that deal with the undertaking or/and implementation of constructional work. This paper describes about the main sources for the failure of a construction project such as no initial risk assessment, inadequate documentation and tracking, irregular & incomplete status reporting, failure to define parameters etc. The methodology contains examining existing data, results and created a checklist for all those who are involved in construction project disasters. It can be applied at all stages in the project cycle, from the earliest assessments of strategy to initiation, planning, implementation and closure. Risk management will also provide advantages in better accountability and justification of decisions, by providing a well-suited and robust process that supports decision-making.
A Short Paper on Testability of a SoC
Authors: Anil Chowdary T , Durga Prasad M
Published: July 2018

The latest advances in semiconductor mix improvement accomplished assembling of expansive number of areas on a solitary chip Test organizing is an essential issue in System on-a-chip (SOC) test mechanization. Effective test masterminds minimize the general structure test application time, keep away from test asset clashes, and most outrageous power scrambling amidst test mode. For solid system on-chip, the circuit ought to be without fault since a solitary blame is likely going to make the entire chip vain. Finding the obstructions and utilization of helpful measures for same chip would diminish the running cost of the structure.. The remarkable move toward test cost emergency, where semiconductor test costs start to approach or beat in more expenses has driven test organizers to apply new reactions for the issue of testing System-On-Chip (SoC) masterminds containing different IP (Intellectual Property) centers. since it is not yet possible to apply non particular test structures to an IP focus inside a SoC, the progress of different close frameworks, and the landing of new industry measures, for instance, IEEE 1500 and IEEE 1450.6, may begin to change this condition. This paper looks rules and at several systems at present utilized by SoC tests engineers [14].
Real Time Opinion Mining and Analysis of Twitter Data
Authors: Senthil Kumar K , Musab Trumboo Mohammad , . Vaibhav , Ahlawat Satyajai
Published: July 2018

This era, in which we currently stand, is an era of public opinion and mass information. People from all around the globe are joined together through various information junctions to create a global community, where one thing from the far east reaches to the people of the far west within seconds. Nothing is hidden, everything and anything can be scrutinized to its core and through these global criticisms and mass discussions of gigantic magnitude, we have reached to the pinnacle of correct decisions and better choices. These pseudo social groups and data junctions have bombarded our society so much that they now hold the forelock of our opinions and sentiments, ergo, we reach out to these groups to achieve a better outcome. But, all this enormous data and all these opinions cannot be researched by a single person, hence, comes the need of sentiment analysis. In this paper we’ll try to accomplish this by creating a system that will enable us to fetch tweets from twitter and use those tweets against a lexical database which will create a training set and then compare it with the pre-fetched tweets. Through this we will be able to assign a polarity to all the tweets by means of which we can address them as negative, positive or neutral and this is the very foundation of sentiment analysis, so subtle yet so magnificent.
Data Leakage Prevention and Detection System
Authors: Rajasekaran M , Gupta Amisha , Sharma Padmini
Published: July 2018

Our system includes a data distributor who sends some important information to some third parties, called agents in our system. Some data gets leaked and found in an unauthorized place (e.g., on the internet or somebody's PC). The distributor must be able to detect that the data got leaked and came from one or more agents. Our system detects the guilty agent, who has leaked the data to untrusted agents. For identification of leaked data in existing system uses watermarking technique. However, it has a deficiency that watermarking data can be modified or changed. So, In proposed system another technique is used for improving  chances of detecting guilty agent is MAC (Media Access Control) address with some more prevention strategies to increase the security of the system.
Stress Analytical Modelling Based on People’s Views on Social Networks
Authors: . John , Mary Vivia , . Prashar , . Aastha , . Khamesra , . Garvit , Garvit V
Published: July 2018

With the growing world, the human mind has grown too much with its own complexities. Gone are the days where people used to express themselves through speech or by verbal contact. Now, the era of social media has brought an interface to the world where they can convey their opinions as well as their inner most thoughts through various social networks. People are more comfortable to express their emotions on these social media rather in the real world. This all has led to the need of Sentiment analysis. It has a major role in detecting stress in humans and how surrounding environment is affecting the population of the world. The project analyses the stress among people through tweets. Self-report questionnaires face to face interviews wearable sensors is the main basis of psychological stress that is caused traditionally. The project covers all possible aspects of interactions on social media. Firstly, by fetching tweets from twitter dynamically based on keyword entered by user and segregating them into positive, negative and neutral categories using Naive Bayes algorithm. Secondly, performing sentiment analysis on a dataset containing movie reviews and thirdly, on a very large dataset containing 5 million tweets using Hadoop and an added algorithm of logistic regression for improved performance and efficiency. The entire project was carried out using a distinct step by step procedure consisting of data collection, data cleaning, training of data, data modelling, algorithm application and visualization. Experiments were conducted on an extensive basis to verify the superior theory algorithms and credibility of the project.
Heterogeneity Management Using OAEI Benchmark Dataset
Authors: Ramar Kaladevi , . .
Published: July 2018

The evolution of ontologies and itsapplications are in various fields like artificial intelligence, reasoning, philosophy, biological science, and medical field. The components of ontologiesare concepts, instance, relationships, constraints, axioms and inference mechanism. Ontology is a main source for enabling interoperability in the semantic web. In this paper heterogeneities are identified between information systems and the possible rectification are carried out using OAEI benchmark datasets. Proposed method is compared with S-Match algorithm. The evaluation results shows that proposed method is performed better and structure changes of input ontologies not affect the results.
Groundwater Quality Assessment of Ambuliyar Watershed using GIS
Authors: Devi R Keerthana , D Balaji , H Natarajan , N Nasir , R Selvakumar
Published: July 2018

Groundwater is significant in satisfying domestic and agricultural needs.Besides scarcity, the groundwater resource is degrading drastically around the world. The Ambuliyar watershed falling in parts of Tamil Nadu also faces similar problems. To decipher the quality degradation, pre-monsoon and post-monsoon data on various physical and chemical parameters was collected for 29 wells for the year 2014 from Public Works Department. Spatial maps were generated on the above geochemical parameters and categorized into five classes using GIS software. Weights were assigned for each parameter based on their relative importance in with each other parameters. Finally, quality index map was generated by integrating them, and subsequently their aerial extent in monsoons was worked out. During the post-monsoon period, 18% of the study area represents “excellent”, 46% “good”, 25% shows “moderate” and 11% shows “poor” quality. While during pre-monsoon period, 34% of the area exhibits “excellent”, 43% “ moderate”, and the remaining 23% of “poor”.
Realizing Multilayered Soft Tissue Model Using Multithreading in Python
Authors: K Jayasudha , G.Kabadi Mohan.
Published: July 2018

Interactive Virtual Reality based surgical simulators are gaining popularity where an inexperienced surgeon can practice the surgery irrespective of time and cost which is an effective way in medical training. In order to guarantee the real time performance, a multi-threading technique is applied to the model in different languages. This results in increased utilization of the processor resources and high update rate is achieved with a realistic rendering of the proposed graphics model for the virtual reality simulation. This paper presents a comparative analysis of the model’s performance using multithreading process. This is based on addition of matrices of the 3D model simulation with large dimensions in C and python programming languages implementations.