bluuebunny/crossref_metadata_2025 huggingface dataset:
Traffic noise pollution at residential area
Authors: Izzaty Mohd Isa Ilyani , Zafflina Mohd Zaki Zaizatul , Kassim Jalina
Published: July 2018

Most people are unaware of noise pollution occurring around them due to the characteristic of the pollution itself. This pollution is not visible to people’s sense and affects people based on their sound level acceptance. Since people who have high sound level acceptance are familiar with noise, thus noise pollution will not directly annoy them. This study was conducted to determine the traffic noise level at Seksyen 7, Shah Alam and its correlation with traffic volume. Since noise level will affect people in terms of annoyance and lead to health effect, the study area were chosen at intersections nearby residential area. The data of traffic noise level and traffic volume were collected representing weekday and weekend for each intersection. Three (3) data collection session were conducted for each day, which is in the morning (0730-0830), in the afternoon (1230-1330) and in the evening (1700-1800). The collected data were then being analysed and compared with the standard limit set by the Department of Environment Malaysia (DOE) to check whether the noise level at the study area comply with the limit recommended.
Power quality enhancement in micro grids by employing MPC-EKF
Authors: Narender Reddy N , Chandrasheker O , Srujana A
Published: July 2018

This paper proposesdesign of a novel multi-level Control system based on Model Predictive Control Algorithm with Extended Kalman Filter (MPC-EKF) to enhance the power quality. The system utilized here implements few controllers based on MPC-EKF front end control, Top down control system and Bottom up control system to monitor periodic signals for fast sampling .TheMPC control divides the said problem into steady-state and transient sub problems individually and improves the response of the individual states .EKF traces the harmonics in the system improves power quality. The top down control system is responsible to improve the separated transient response and the bottom up control system is responsible to track the steady state error. Thus the proposed method is provided with the capability to enhance the quality of power and reliable performance of the microgrid by tracing and removing the harmonics in the distribution system, thereby decreasing the computational time. Our proposed method can be implemented on the MATLAB/SIMULINK plat form to validate the results.
Effect of matrix size in affecting noise reduction level of filtering
Authors: . Khairul , Farta Wijaya Rian , Putera Utama Siahaan Andysah , Aryza Solly , Nova Hulu Fitria , . Rusiadi , Aspan Henry , Dharma Tuah Putra Nasution Muhammad , Rossanty Yossie , Napitupulu Darmawan , Arisandi Diki
Published: July 2018

Improved image quality needs to be done to improve data processing on the image. This quality improvement can be made by doing masking technique. Median Filter is one technique to enhance the quality of an image in a particular space. Median filtering improves the image by specifying a specific pixel from its neighboring pixels. The median filtering calculation uses a matrix block with an odd number. Each matrix block will have a middle value after the pixel values have regularly been sorted. This method is included in the category of nonlinear filtering. With the median filtering, the output pixel value is determined by the median of the specified mask environment. Median Filter has different results when using different matrix sizes as well. The results of this process can determine how gentle the result of noise reduction. In general, the larger the size of the matrix, the higher the blurriness of an image.
To detect abnormal event at ATM system by using image processing based on IOT technologies
Authors: Archana Kande , Bhaskara Reddy P
Published: July 2018

Now a day’s ATMs are equipped with money there is possibility of robberies. This paper proposes a framework which will provide high security in ATMs. The Prototype includes ARM controller, Vibration Sensor, GSM and GPS Technique, DC Motor, Stepper motor, Buzz-er, LCD Display, and Keil Tool. Whenever robbery occurs, Vibration sensor is used here which senses vibration produced from ATM machine. This system uses ARM controller based embedded system to process real time data collected using the vibration sensor. Once the vibration is sensed the beep sound will occur from the buzzer. DC Motor is used for closing the door of ATM.Stepper motor is used to leak the gas inside the ATM to bring the thief into unconscious stage. Camera is always in processing and sending video continuous to the PC and it will be saved in computer. RTC used to capture the robber occur time and sends the SMS and MMS to the nearby police station and corresponding bank through the GSM and GPS. Here LCD displays board using showing the output of the message continuously. This will prevent the robbery and the person involving in robbery can be easily caught. Here, Keil tools are used to implement the idea and results are obtained. keil tools is used for run the DC motor and stepper motor for automatic door lock and also leak the gas inside the ATM. By this system robberies will be stopped and the complaints cases also reduced maximally. Thus the proposed framework results are revealed that the framework can be providing high security to the ATM System's
Fruit monitoring system using multi-layered neural network
Authors: Xu Rui , Hyun Cho Tae , Kil Kim Chang , Kim Bonghwan , Soo Lee In
Published: July 2018

A fruit monitoring system based on image processing technology and multi-layer neural network is proposed. The advantage of the proposed fruit monitoring system allows it to be remotely controlled by PCs and the graphical user interface (GUI) program by LabVIEW which has been designed for more intuitive and convenient operation of this system. In addition, the neural network can reduce nonlinearity of the system compared to the calculation based system. Therefore, experienced workers and novices can easily judge the ripeness of the fruits using the GUI program without necessarily going to the orchards. In this study, the color is used as a criterion to judge the maturity of tomatoes. Ripe tomatoes will appear to be red, while the unripe tomatoes will be green in color. The region of interest (ROI) function and Canny edge detection are applied to crop the image and remove the background, then the pixel data obtained are to supply the use of neural network. After that the maturity level of tomatoes is judged by the neural network. In laboratory test, 50 experiments have been down, 48 of which were successful, 2 of which failed, so the recognition rate was 96%. The experiments of this fruit monitoring system in the greenhouse on real growing tomatoes has been conducted. Therefore, 10 experiments on the red and green tomatoes has been conducted, respectively. As a result, the recognition rate of the red tomatoes is 100%, and recognition rate of the green tomatoes is 90%. The experimental results show that the proposed mobile fruit monitoring system has a very high recognition rate of accuracy.
Efficient Ideal Algorithm for Task Scheduling in Cloud Computing
Authors: M K Kanna Babu A , Sree Latha M
Published: July 2018

Present days cloud computing is one of the best raising technologies in distributed computing sectors which permits pays in line with model as per customer demand and requirements.Cloud includes a set of virtual machines which incorporates each persistent andcomputational facility. Providing efficient access of any data to the remote area through network is the primary motto of the cloud computing. Day by day cloud is facing many demanding situations. In which it is facing scheduling is the key one. The process through which the task can be done in certain order via pc device is called scheduling. The word scheduling defines different package of rules for controlling the task order for running the known job through network via computer machines. An awesome scheduler adapts the strategy of scheduling consistent with converting execution of job to sort of different tasks. In research paper we presented, data control of different virtual machines in cloud computing is the new target to the researchers. Algorithms of different tasks scheduling plays an essential and important role for solving some problems. The intention of the scheduling is running of different tasks successfully with in less time and accuracy.And we discussing about various components that cloud computing depends like CPU usage, Load balancing, and Time.
Modeling Transport Layer Protocol Behaviour to Improve Data Center Network Performance
Authors: J. Nayak Amitkumar , P. Ganatra Amit
Published: July 2018

Today, there is a generalized standard usage of internet for all.The devices via multiple technologies that facilitates to provide few communication methods to scholars to work with. By forming multiple paths in the data center network, latest generation data centers offer maximum bandwidth with robustness. To utilize this bandwidth, it is necessary that different data flows take separate paths. In brief, a single-path transport seems inappropriate for such networks. By using Multipath TCP, we must reconsider data center networks, with a diverse approach as to the association between topology, transport protocols, routing. Multipath TCP allows certain topologies that single path TCP cannot use. In newer generation data centers, Multipath TCP is already deployable using extensively deployed technologies such as Equal-cost multipath routing. But, major benefits will come when data centers are specifically designed for multipath transports. Due to manifold of technologies like Cloud computing, social networking, and information networks there is a need to deploy the number of large data centers. While Transport Control Protocol is the leading Layer-3 transport protocol in data center networks, the operating conditions like high bandwidth, small-buffered switches, and traffic patterns causes poor performance of TCP.  Data Center TCP algorithm has newly been anticipated as a TCP option for data centers which address these limitations. It is worth noting that traditional TCP protocol.
FPGA Implementation of UART with Single Error Correction and Double Error Detection (UART-SEC-DED)
Authors: Gorabal Amrutha , D K Nayana
Published: July 2018

The Universal Asynchronous Receiver Transmitter (UART) is the very simple and significant sequential communication protocol which is basically utilized for microprocessors & microcontroller systems. It is a shorter range communication protocol, which able to perform half-duplex and full-duplex type of communication at baud rates. Though, UART is a type of shorter range communication still they are not resistant to noisy channel which leads to communication errors by flipping or loosing of bits. These kinds of signal errors are named as forward-errors. The correction of forward errors is a mechanism to handle and rectify those errors (i.e. Burst errors and Random bits error). Thus in this methodology, have introduced a UART-SEC-DED communication module design which utilizes the Hamming encoder and decoders to achieve the forward error correction. Finally, the proposed system will simulated and implemented on FPGA board and experimental outcomes shows the better efficiency in single error correction and detection of double errors.
Analysis of Supply Chain Wastage for Banana at Wholesale Distribution Points in Tamilnadu
Authors: R Arivazhagan. , P Geetha.
Published: July 2018

India is the second largest producer of overall fruits and vegetables next to China as on 2015. In spite of being a major producer of fruits, various studies were reported that nearly from 20 to 75% of fruits are wasted in India due to various reasons. Fruits wastage was realizing in all stages of its supply chain from farm gate to till it reaches to the consumer. This study concentrates only one supply chain stage i.e. wholesale distribution points in Tamilnadu. This study was conducted based on descriptive research. Scope of this study was confined within Tamilnadu region with 13 specific locations. Data were collected from banana middlemen wholesale traders which include distributors, wholesale agents, commission agents, mandi agents, carry and forward agents, contractors and brokers. Data were collected from 154 wholesale traders through interview as well as survey method by using structured questionnaire. This study revealed that around 6.5% of bananas were getting wasted at wholesale level. This study also identified top three factors which influenced more wastage at wholesale distribution points of banana, they were physical injury, long travel and poor packing method.
Reduction of Power Consumption using Joint Low Power Code with Crosstalk Avoidance Code in Case of Crosstalk and Random Burst Errors
Authors: Kumar.K Ashok , P Dananjayan.
Published: July 2018

When technology is scaling down, reliability and power issues are arise in the intercommunication of System on Chip (SoC). The intercommunication links are suffers with various noise sources like crosstalk, temperature variation and voltage deflection which lead to communication link failure. To get reliable system, the strong error detection and correction codes are required. In this proposed work, Crosstalk avoidance code detects and corrects of one bit error, two bit error and some of three bit errors. The Hybrid Automatic Re-transmission Request is also used when the CAC detects the burst error of three. Apart from this, the Low Power Codes are used to get low power consumption using Bus Invert (BI) technique in proposed work. The LPC code reduces the power consumption of interconnection wires using reducing switching activity. The performance of proposed work evaluated in Xilinx 14.7 in Vertex-6 Field Programmable Gated Array (FPGA) device. The proposed work is calculated of power consumption of codec module and interconnection wire, delay of CAC and LPC code and link swing voltage. This work provides 11.7% improvement in power consumption and presents high reliability than JTEC. The energy dissipation of wires in the proposed work is decreased 23.5% than un-coded schemes.
Fusion Imaging in Pixel Level Image Processing Technique – A Literature Review
Authors: Elaiyaraja K , Senthil Kumar M
Published: July 2018

Image Processing is an art to get an enriched image or it can be used to retrieve information. This image processing methods are used in medical field also. Numerous modalities like Magnetic Resonance Imaging (MRI), Positron Emission Tomography (PET), and Computed Tomography (CT) etc. are used to analyze and diagnose diseases.Pixel-level image fusion is a combination of several images collected from various inputs and gives more information than any other input messages. Pixel-level image fusion shows a vital role in medical imaging. In this paper, pixel-level image fusionsmethods are survived and review the fusion quality measures are being used. Finally this surveycomplete with different kinds of image fusion methods proposed and still there are so many imminent ways in image fusion applications. Hence image fusions fields are pointedly develop in the forthcoming years.
Amalgamation of Estimation Techniques in Assessing Software Metrics and their Utilization in Project Management
Authors: Chaudhary Swati , Singh Madan
Published: July 2018

The main reason for software-intensive acquisition programs is the poor size estimation that is not more effective. The estimation of the significant software metrics,utilization of the metrics,recording the metrics are the challenges in software estimation. The software estimation becomes a tedious task due to these challenges, which needs to be rectified. In literature, a number of techniques were proposed to resolve these challenges by the researcher. In our paper, we present a survey on the existing software estimation techniques based on the existing issues.
Cost Effective Construction for Low Income Earners with MRTB and MFS
Authors: S.R.Swathi S , Varuna Lakshmi G , Muthu D , Venkatasubramanian C , Nagavalli M
Published: July 2018

India is a developing country having 14% (Pew Research Centre) population of low income group. The desire to own a house especially for low income and middle class families has become a virtual reality. Hence it is required to go in for an innovative, eco-friendly and cost efficient technology for raising of houses enabling the ordinary persons to build houses at owing to their financial status. The materials and techniques which are adopted have to be durable, economical and accepted by users. This study of low cost housing focuses mostly on personal satisfaction levels and the need of quality, particularly with regard to the place of abode. Hence, to provide the basic needs to the low income earners, this economical housing concept with minimum financial statement/investment has been suggested. The reduced construction cost through suitable management plans is obtained by appropriate use of locally available materials, labour and technology without compromising on the strength and life of the structure. In this study, it has been found that about 12% of total bricks and 22% of materials can be saved by using Modified Rat Trap Bond for walls and Modified Filler Slab for roofs respectively, which may be applied practically for government low cost dwellings.
Survey on Brain Tumor Identification
Authors: Malathy C , Kundu Namrata , Sadhukhan Sayan
Published: July 2018

Brain tumors are caused by the growth of abnormal cells inside the Brain. Brain tumor can be classified as Benign (non cancerous) and malignant(cancerous). Malignant brain tumors usually grow rapidly when compared to benign tumors, and aggressively spread and affect the surrounding tissues. Detection of tumor in brain can turn out to be cumbersome, owing to the complex organization of the Brain. The cost of making an error in Identifying a Malignant Tumor from a Benign Tumor is too high. At a time, when cases of Brain Tumors are growing, mostly among people of age between 65 and 79, but not just confined to that age bracket, we can take advantage of the advancement in the field of technology and accurately identify tumors and help save lives.
Effect of TiO2Nanoliquid on the Properties of Cement Mortar
Authors: Prabalini C , Aysha Farsana Z , Sumathi A
Published: July 2018

Mortar/Concrete is effectively used in the construction of buildings. In the view of developing the infrastructure, it is essential to come up with new methods. Generally, the mortar which is being used has numerous pores in it and thus the strength gets reduced and the absorption increases. To reduce the durability problems nano liquid is being added. Nano liquid has the advantages of anti microbial and anti UV action. This paper deals with the nano liquid on the properties of cement mortar with two curing medium (water and saturated lime water) for 3, 7 and 28 days and the results were compared with control mortar in terms of strength and durability. Nano liquid was added in terms of 2.5ml, 5ml, and 7.5ml per kg of cement. After the completion of curing period the nano liquid is uniformly sprayed on the outer surface of the mortar cube. Since the nano liquid emits heat, the curing is made with lime to reduce the heat of hydration.
A Study on Electrical Characterization of Surface Potential and Threshold Voltage for Nano Scale FDSOI MOSFET
Authors: Shakher Tyagi Chandra , L. Sharma R , Mani Prashant
Published: July 2018

In this paper the study of electrical characterization of Surface potential & Vth threshold-voltage model is developed for FD SOI MOSFET. The threshold voltage is important parameter in device design. Scaling of device has positive impact on device performance. The various parameters like thickness of silicon film, oxide layer, drain to source voltage plays a key role in improvement of device performance. Surface potential explain the distribution of applied potential throughout the channel. We also analyzed the effect of threshold voltage with various electrical parameters.
Utilization of Fly Ash and Iron Slag in Concrete - An Experimental Study
Authors: Surendra Cherukuru , S Karthik , Raja Mohan K Saravana
Published: July 2018

The cement industry is responsible for about 6% of all CO2 emissions in the environment and numerous waste products out from the industries which is generating a lots of dumping problems and global warming. The main aim of this present study is to experimentally study the influence of partial replacement of cement with fly ash (FA) and partial replacement of fine aggregate with iron slag (IS) on the mechanical properties of concrete. Totally 10 mixes were prepared with 10, 20 and 30% replacements level of cement with fly ash and fine aggregate is replaced with 10, 20 and 30% by steel slag. The compressive and splitting tensile strength tests were found out after 7, 14, 28 and 7, 28 days age of curing for all the mixes respectively. Results were compared with conventional concrete and the optimum replacement percentage of FA and IS has reported.
Airport Trends Analytics Engine using the ARIMA Model
Authors: Rajesh Chitransh , Jain Yash , Jayapradha J
Published: July 2018

Data Analytics is the process of analyzing unprocessed data to draw conclusions by studying and inspecting various patterns in the data. Several algorithms and conceptual methods are often followed to derive legit and accurate results. Efficient data handling is important for interactive visualization of data sets. Considering recent researches and analytical theories on column-oriented Database Management System, we are developing a new data engine using R and Tableau to predict airport trends. The engine uses Univariate datasets (Example, Perth Airport Passenger Movement Dataset, and Newark Airport Cargo Stats Dataset) to analyze and predict accurate trends. Data analyzing and prediction is done with the implementation of Time Series Analysis and respective ARIMA Models for respective modules. Development of modules is done using RStudio whereas Tableau is used for interactive visualization and end-user report generation. The Airport Trends Analytics Engine is an integral part of R and Tableau 10.4 and is optimized for use on desktop and server environments.
Study on Strength Characteristics of Binary Blend Self Compacting Concrete Using Mineral Admixtures
Authors: J. Prasannaa Venkatesh G , S.Vivek S , Dhinakaran G
Published: July 2018

Self-compacting concrete (SCC) is the flowable concrete which tends to fill the formwork under its weight without external compaction. In the present research, 9 different SCC mixes in binary blend along with control SCC and conventional vibrated concrete (CVC) mixes were developed. In binary combination, cement was partially replaced by SF from 7 to 21%, MK from 10 to 30% and GGBS from 20 to 60%. For the above 9 combinations of SCC mixes, the basic rheological properties test namely slump flow and T500 were carried out in the fresh state of SCC. The flowability was achieved using Superplasticizer and viscosity modifying admixture (VMA), added by the percentage of the weight of cement. In hardened state, the compressive strength of the cube specimens and the split tensile strength of the cylinder specimens were carried out.
Survey on Surging Technology: Cryptocurrency
Authors: Singh Swathi , R Suguna , Satish Divya , Kumar MV Ranjith
Published: July 2018

The paper gives an insight on cryptography within digital money used in electronic commerce. The combination of digital currencies with cryptography is named as cryptocurrencies or cryptocoins. Though this technique came into existence years ago, it is bound to have a great future due to its flexibility and very less or nil transaction costs. The concept of cryptocurrency is not new in digital world and is already gaining subtle importance in electronic commerce market. This technology can bring down various risks that may have occurred in usage of physical currencies. The transaction of cryptocurrencies are protected with strong cryptographic hash functions that ensure the safe sending and receiving of assets within the transaction chain or blockchain in a Peer-to-Peer network. The paper discusses the merits and demerits of this technology with a wide range of applications that use cryptocurrency.
Study on Application of Membrane Technology in Treatment of Effluent from Dyeing Industries in Erode, TamilNadu
Authors: Prasanna K , S.Anandh K , Vimal Kumar S , Edwin A
Published: July 2018

The textile dyeing industry is one of the hazardous polluting industries which uses water as the major source for their production and substantially the generation of wastewater leads to be a huge burden in treatment. The existing treatment methods adopted in most of the dyeing industries are said to be very old and its efficiency of removal is very less and at the same time it does not meet the standards for trade effluent discharge as prescribed by the regulatory boards. The study carried out on the application of Activated Carbon Filter (ACF) outlet in three stages of Reverse Osmosis results in reduction of 52% and the Total Dissolved Solids (TDS) is reduced to 226 ppm under the operation time of 10 hours. Significance reduction in pH, BOD, COD, TSS and Sulphates. The results say that the new technology of applying Nano-filtration and ultra-filtration will increase the efficiency of treatment. The effluent characteristics with the help this technology satisfy the standards.
Evaluation of Cathodic Protection Criteria for Embedded Steel Reinforcement in concrete structures
Authors: Dolli Hirudayasamy , Kavitha Andiappan , . Jeevarose
Published: July 2018

This paper presents the results of performance of sacrificial protection in preventing the rebar corrosion in chloride contaminated and chloride free concrete. In this present study, the effectiveness of sacrificial protection of embedded steel rebars has been evaluated on chloride contaminated and chloride free concrete slabs using ribbon type Zinc anodes with ion conductive polymer backfill over a period of 250 days of exposure. The results showed that the ribbon type zinc sacrificial anodes with the navel electrochemical interface (Ion conductive polymer backfill) can confer effective corrosion protection of embedded steel in concrete on preventing corrosion initiation in chloride contaminated as well as chloride free concretes slabs. The cathodic protection criteria evaluated on concrete unit slab showed that 100-150mV is necessary in the atmospheric exposure and 160-200mV under alternate wetting & drying conditions.
Input Bridging Fault and Non Feedback Bridging Fault Detection and Test Vector Generation by Boolean Satisfiability Method
Authors: Sarvani K , Viswanathan B
Published: July 2018

The input bridging faults and non feedback bridging fault( short between lines) occurs due to improper soldering.This paper enumerates the Fault detection and high quality test vector generation for these faults by using Boolean Satisfiability method with the help of JAVA code.This method can be adapted to deal with many faults in the combinational circuits.
Removing Duplicate URLs based on URL Normalization and Query Parameter
Authors: Goel Kavita , Shankar Prasad Jay , Hilal Saba
Published: July 2018

Searching is the important requirement of the web user and results is based on crawler. Users rely on search engines to get desired information in various forms text, images, sound, Video. Search engine gives information on the basis of indexed database and this database is created by the URLs through crawler. Some URLs directly or indirectly leads to same page. Crawling and indexing similar contents URLs implies wastage of resources. Crawler gives such results because of bad crawling algorithm, poor quality Ranking algorithm or low level user experience. The challenge is to remove duplicate results, near duplicate document detection and elimination to improve the performance of any search engine. This paper proposes a Web Crawler which performs crawling in particular category to remove irrelevant URL and implements URL normalization for removing duplicate URLs within particular category. Results are analyzed on the basis of total URL Fetched, Duplicate URLs, and Query execution time.
Emerging Trends in Visual Secret Sharing
Authors: Yadav Mainejar , . Ranvijay
Published: July 2018

Visual Secret Sharing (VSS) is an increased applicability of traditional secret sharing. In VSS, the secret information is recovered by human visual system or lightweight computational device. There are two models available in VSS, one is Visual Cryptography (VC) which is introduced by Naor's in 1994 and other is a Random Grid (RG) based VSS which is proposed by Keren and Kafri. This state of the art covers both the models of VSS along with its application. The various application areas of VSS are visual authentication and identification, image encryption, access control, data hiding etc. The chapter has also covered various future enhancements in VC based on cryptanalysis, optimal pixel expansion, multiple secret encoding, progressive VC etc. Random Grid based VSS have some advantages over VC, which eliminates the need of Pixel expansion and codebook. But still, there is scope for the improvements in the contrast and the complexity of exiting algorithms. So there are various challenges and opportunities which make it an exciting research area to work upon.
Fleet Management of Public Transportation using Internet of Things
Authors: Eswar Moka , Titus Manohar A , Mani Akshay
Published: July 2018

With the increase in the number of public and private buses in cities in recent years, managing the bus fleet across various routes in an efficient and effective manner has become cumbersome. This is resulting in suboptimal services, inability to effectively cater to existing demand, and poor quality of public transport services.  Modern technological advancements have created a tremendous opportunity to improve various aspects of public transport services, to not only serve existing demand but attract increasing number of passengers to public transport from a sustainable development standpoint.  One such area which is gaining momentum is intelligent fleet management using the concept of Internet of Things (IoT).  This area calls for a cross-field collaboration between engineers from various disciplines to use the up and coming idea of Internet of Things (IoT) for overcoming the challenges of intelligent fleet management. This paper explores the opportunity for incorporation of IoT to manage bus fleets based on the occupancy ratio and the resulting benefits that can be achieved in terms of fleet frequency optimization.
Strength Properties of Recycled Aggregate Concrete Treated with Low Concentration Acetic Acid
Authors: Kumar N Naveen , Kathirvel Parthiban , G Murali , Raja Mohan Kaliyaperumal Saravana
Published: July 2018

Recycled concrete aggregates have inferior qualities compared with the natural aggregates, mainly attributed due to the porous nature of the attached cement mortar. In previous researches treatment of recycled aggregates are done using concentrated nitric acid, hydrochloric acid and sulphuric acid but they showed less view on acetic acid which is eco-friendly and also removes more adhered mortar in the recycled aggregates. The aim of this investigation is to determine the strength characteristics of Recycled Concrete Aggregates(RCA) which have been treated using low concentration acetic acid solution (1% solution and with immersion duration of 1 and 3 days).  The treated aggregates are tested for compressive strength, split tensile strength, water absorption, impact strength and bond strength for a curing period of about 7 and 28 days.
Logistic Regression and Data Analysis on Privacy Methods on Data Streams
Authors: Chandrakanth P , M.S Anbarasi
Published: July 2018

The problem data privacy in streams is completely put in a myopic view by hitherto researchers. Research and experimentations have been well fortified on static data, in which predominantly spelled easy with approaches based on perturbation using random data values. Approaches based on large data sets and high dimension data sets are not adequate consequences. By using the phenomenon of autocorrelation of multivariable streams and their leveraging structures, identifying the suitable areas to add noise maximally preserves privacy and in a irreversible manner. Drift checking and ensemble classifier building is the basic requirements for privacy preserving data stream, which makes clear in experimentation with the support of sensitivity analysis. In this paper we present the results of experimentation at all the stages.
Strength and Durability Behaviour of Nano Silica on High Performance Concrete
Authors: Jaishankar P , T. Poovizhi K , Saravana Raja Mohan K
Published: July 2018

Nano silica is a fine convergent material of 10-9m size.  Due to its fineness, stiffness gets increased and cracks get reduced. As nano silica is fine, the mechanical strength will be increased and the durability will also be increased. Nano silica will reduce the pores compared to nominal concrete specimens. In this to study strength and durability behaviour of M70 high performance concrete with Nano Silica as admixture partially replacing cement by 0% 5% 10% 15% 20%. The experimental investigation of sorptivity test, alkalinity measurement test, water absorption test, totally 30 cubes and 15 cylinders specimens were casting and testing for strength and durability.  Specimens namely cubes, cylinders are cured for 28 days. In standard environment, after this curing period a test to analyze the strength and durability as carried out. The strength and durability start shown in increasing trend with increase in the quantity of nano silica. XRD, XRF Techniques are used to study the micro structure of the concrete. The nano silica addition reduces the pore amount and makes the concrete denser in micro structure level, which in turn increases the strength and durability.
Low Complexity Signal Detector for MIMO MCCDMA System for Longer Delay Channel
Authors: Rao Challagundla Papa , Sumithabhashini P , Chandrasekhar Reddy P
Published: July 2018

In recent years Multiple-input multiple-output (MIMO) Multi carrier code division multiple access (MCCDMA), which combines the advantage of diversities with high spectral efficiency has drawn great attention. In this paper we introduce a novel low-complexity multiple-input multiple-output (MIMO) MMSE detector tailored for MCDCDMA systems, suitable for frequency selective channel. The proposed detector begins with estimation of the minimum mean square error (MMSE) on less reliable symbols followed by iterative de-correlation as post-detection processing for mitigating multiple access interferences. Efficient high-throughput VLSI architecture is used to achieve superior performance compared to the conventional MMSE detectors. The performance of the proposed MMSE detector is close to the efficient maximum likelihood, with significant complexity reduction over higher order constellations. The efficiency of MIMO MCCDMA over high order constellations and its quality retentions are verified through MATLAB BER simulation.
Investigating Implications of Metric Based Predictive Data Mining Approaches towards Software Fault Predictions
Authors: Kapoor Pooja , Arora Deepak , Kumar Ashwani
Published: July 2018

Context: Since 1990, various researches have been working in the area of software fault prediction but yet it is difficult to assess the impacts and progressive path of this research field. Objective: In this research work, author’s major objective is to investigate the context and dimensions of research studies performed by different researchers in the area of software fault prediction. This work also focuses on presenting a well defined systematic view of their findings and suggestions after a critical examination of all major approaches applied in this key research area. Method: This research work includes 112 total manuscripts published between 2009 and 2014. These studies are gathered from a pool of total 587 manuscripts. The selection criteria for these manuscripts are title, keywords and citation of that paper. Result: The results of this investigation shows that most of the research work related to software fault prediction have been performed on available data set from NASA repository. Most of the research work performed is basically confined to analysis or comparative study of various machine learning techniques based on their classification accuracy. Various research work published doesn’t exhibit clearer representation of any specific prediction model. Conclusion: Still after years of development, there is a huge gap between the industry requirement and the research being performed by different researchers in the field of Software fault prediction. A better collaboration between industry academia is still required. This research work represents a critical investigative approach towards finding the exact gaps to be filled and explored more authentic future research areas in this field. All result finding have been critically examined and compared with existing literature work for better understanding and deep insight over identifying the major strengths of chosen research field.
Morphological Aspects of Absorption of Antibodies
Authors: N. Shulga Nikolay , M. Mandro Nikolay , A. Gavrilova Galina , N. Chubin Alexey , Yu. Sayapina Irina , A. Gavrilov Yuriy , V. Hibchenov Lopsondorzho , V. Trush Natal'ya
Published: July 2018

Placenta, depending on the species histological features, may interfere or promote the transmission of antibodies in the mother-fetus system. There are several types of placentas: epithelial type (horses, donkeys and pigs), desmochoric type (cows, sheep and goats), endothelial type (rabbits, Guinea pigs), hemochorial type (monkeys and women). Desmochoric  and epithelial type of the placenta block the transfer of circulating maternal antibodies to the fetus. In animals with these types of placentae transfer of maternal antibodies to offspring is carried out by colostrum. Hemochorionic and endothelial chorionic placentae provides active transport of antibodies from the mother's bloodstream into the bloodstream of the fetus. Therefore, newborns have a complete set of maternal antibodies. The aim of our study was to investigate the mechanism of absorption of antibodies from colostrum by the epithelial cells of the small intestine of newborn animals with epithelial  and desmochoric  types of placentas. The article presents the results of the absorption of antibodies by epithelial cells of the small intestine of newborn animals with colostrum - type transmission of immune proteins from mother-offspring.  Thus, it was established that the absorption of antibodies by epithelial cells of the small intestine is limited in time (24-72 hours). The mechanism of absorption is the fetal structure of the epithelial cells of the small intestine with the ability to absorb antibodies, and the termination of antibody absorption is associated with the replacement of fetal enterocytes by postnatal ones.
Design & Analysis of S-Band Right Hand Circularly Polarized Conical Horn Antenna for NavIC Receiver
Authors: N Likith , K M Gayathri , S Thusshara , Sanjeetha Maria , N Thangadurai
Published: July 2018

In satellite communication systems the horn antennas are being used widely due to its robustness and capable to operate at frequencies which are very high. Here, the right hand circular polarized conical horn antenna is designed for S-band NavIC receiver. The waveguides and conical horn antenna dimensions are designed by using standard formulas and after that they are given to a simulation tool for the S band frequency. The performance parameters like return loss, radiation pattern, gain and directivity are considered for further analysis. In the circular waveguide from the TE11 mode conical horn antenna is to be designed into high gain and a good VSWR.
IoT Enabled Solar Power Monitoring System
Authors: L.R. Lokesh Babu R , Rambabu D , Rajesh Naidu A , D. Prasad R , Gopi Krishna P
Published: July 2018

This paper proposes a solution and method to monitor the dust accumulated on the solar panels to get the maximum power from for effective utilization. Always the output power of the solar panel depends on the radiation reached to the solar cell. The system also displays the malfunctioned solar panels lists and whether the electrical appliance is working directly on the solar panels or the loads is on the battery. All the panels are connected, and sensors are directly connected to the central controller which monitor the panels and loads. By incorporating the IoT technology the data received from the panels and appliance are send to the cloud from through internet for the future use as well the remote user can monitor the parameters of the connected devices. The user can view the current, previous, and average parameters such as voltage, current, temperature and sun light using a graphical user interface GUI. The controller is programmed with predefined conditions with user alerts when it falls below the specified conditions. Node MCU is used as a controller.
Out-of-Plane Behavior of Masonry Wall Strengthened Using Expanded Wire Mesh
Authors: Kanchidurai S , A. Krishanan P , Baskar K , Saravana Raja Mohan K
Published: July 2018

Brick masonry is the principal part of the construction industry. This paper presents the result of the expanded wire mesh embedded into the masonry wall panel; expanded mesh (EM) is the inexpensive locally available material on the market. Through the experimental study, the primary affecting parameters recognized, and the methodology of the embedment details established, the preliminary survey was conducted as per the guidelines are given in the ASTM E518. Totally three numbers of control specimen and three numbers of EM embedded specimen are cast, and compressive strength test of masonry prism also evaluated to identify the crack propagation path. The test results turned out to be highly promising, out of plane damage was less in the EM embedded specimen also it was designated the cracks are reduced.
Development and Mechanical Characterization of Al6061-Zircon Composites
Authors: Raju.T Hemanth , S.Ramamurthy V
Published: July 2018

Composite materials are widely used in variety of applications such as aerospace, automotive and structural components resulting in savings of material and energy. Particulate reinforced Aluminium metal matrix composite materials which are having desirable properties such as high specific stiffness, high specific strength, high coefficient of thermal expansion, increased fatigue resistance and superior dimensional stability compared to unreinforced alloys. In the present work an attempt has been made to develop composites using Al 6061 as a matrix material reinforced with Zircon particulates using stir casting technique. The Zircon particulates were varied in steps of 0 %, 3%, 6%, 9% and 12%. The Specimens were prepared as per the ASTM standards. The prepared composites were characterized by microstructural studies using optical microscope and tensile strength and hardness properties were evaluated. Zircon particles were observed to refine the grains and were distributed homogeneously in the aluminium matrix at 9% of Zircon. The tensile and hardness properties were higher in case of composites when compared to unreinforced Al 6061 matrix. Also increasing addition level of Zircon has resulted in further increase in both tensile strength and hardness values and optimum value was obtained at 9% of Zircon.
Estimation of future Reference Crop Evapotranspiration Using Soft Computing Techniques
Authors: Gowri L , Sasireka K
Published: July 2018

Estimation of Evapotranspiration forms the basis for computation of irrigation requirement of crop, and also it is considered as one of the vital component of hydrological cycle. This study describes the conceptual outline and implementation to test the ability of an artificial neural network (ANN) for accurate estimation of reference evapotranspiration (ETo). There are many conventional methods like FAO modified Penman method, temperature-based and radiation-based empirical methods are used to estimate (ETo). Among the conventional methods, Thronthwaite method and Hargreaves method perform well in the selected region.  An ANN network is trained to recognize patterns of the daily meteorological variables and their corresponding evapotranspiration which is estimated using FAO-modified Penman method. The advantage of using ANN technique is the network’s ability to use minimum number of meteorological parameters, hence economical.
Secure Enhanced Reactive Routing Protocol for Manet Using Two Fish Algorithm
Authors: Deepa M , Krishna Priya P
Published: July 2018

In Mobile Adhoc Network (MANET) implementing a secure communication is a critical task due to its nature of wireless, infrastructureless, arbitrary network. Its not organized by any centralized control. Each node in this network   acts as a router. Routing plays a major role in the network data transmission. Various protocols exist for the purpose of routing process. On Demand routing is a category of routing protocol were routes are obtained only on demand. AODV is one of the efficient on demand routing protocol. In this work an enhanced protocol with security features, the Secure AODV- ESB (Secure Adhoc On Demand Distance Vector based on Energy level and Signal Strength Implementing Bayesian Probability) has been proposed for Mobile   Adhoc Network. Its is an extension of the previous work AODV – ESB protocol, which is a modification of the existing AODV protocol. The AODV protocol works on two phases.  The route discovery process and route maintenance phase. Major problem faced by AODV was the frequent route break caused by the dynamic mobile nature of the Mobile Adhoc network, which leads to frequent route discovery process. To avoid frequent route break AODV-ESB routing protocol was proposed, it adopts the energy level and Signal strength as parameters for the route selection for transmission of data. Bayesian probability implementation in the protocol increases the chance of adopting more reliable and optimized path. Another major issue in data transmission in the Adhoc network is the security. Securing data from access of the unauthorized person is a major responsibility of the protocol. This new secure AODV- ESB protocol protects against attackers by identifying the malicious node and eliminating them and also secures data by implementing cryptography using Two Fish Algorithm.  This ensures secure data transmission in MANET more efficiently than the original AODV protocol. Analysis using the NS 2 Simulator proves that Secure AODV- ESB performs better than the previous work AODV- ESB.
An Efficient Approach for Secure Storage, Search using AES in Cloud Storage
Authors: Anjaiah P , Raghavendra C , Rajendra Prasad K
Published: July 2018

The expanded rate of development and adaption of distributed computing, day by day, more delicate data is being brought together onto the cloud. For the security of profitable data, the information must be encoded before externalization. The current inquiry procedures enable the client to seek over encoded information utilizing keyword yet these methods represent just correct hunt. There is no resilience for grammatical errors and organization irregularities which are typical client conduct. This makes compelling information stockpiling and use an exceptionally difficult errand, providing client seeking extremely baffling and wasteful. In this paper, we concentrate on secure capacity utilizing Advanced Encryption Standard (AES) and data recovery by performing Fuzzysearch on information which is scrambled while transferring on the cloud. We are proposing the execution of a progressed Fuzzykeywordtechnique called the Wildcard based procedures which restores the coordinating records when clients seeking inputs definitely coordinate the predefined keyword or the nearest conceivable coordinating documents in light of likeness catchphrase semantics when correct match comes up short. In the proposed method, using alter separation to measure keywords similitude and build up a proficient strategies for developing fuzzy keyword sets, which concentrate on diminishing the capacity and portrayal overtop.