bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of low- area, power fault tolerant parallel FFTs using trellis codes
Authors: NagaSaiLakshmi B. , T RajaSekhar.
Published: November 2018

Present day electronic circuits are generally affected by the delicate mistakes. To maintain the reliability of the complex systems few techniques have been proposed. For few applications, an algorithmic - based fault tolerance (ABFT) system has attempt to abuse the algorithmic properties to identify and adjust mistakes. One example FFT used. There are various protection schemes to identify and adjust errors in FFTs. It is normal to discover various blocks are working in parallel. Recently; a new method is exploiting to implement a blame tolerance in parallel. In this work, same method is first applicable to parallel FFT and then secured methods are merged that the use of error correction codes (ECCs) and parseval checks are used to detect and correct a single bit fault. Trellis code is applied to parallel FFTs to protect the errors which are used to detect and correct a multibit faults are proposed and evaluated. The 4-point FFT is protected with the input32-bit length .Simulation and Synthesis report for FFT using ECC,SOS,ECC-SOS,Trellis codes are obtained in Xilinx software14.2v.Area,power,delay is analyzed in cadence using 90nm & 180nmTechnology.
Multi core processor for QR decomposition based on FPGA
Authors: S. Omran Safaa , K. Abdul-abbas Ahmed
Published: November 2018

Hardware design of multicore 32-bits processor is implemented to achieve low latency and high throughput QR decomposition (QRD) based on two algorithms which they are Gram Schmidt (GS) and Givens Rotation (GR). The orthogonal matrices are computed using the first core processor by Gram Schmidt algorithm, and the upper triangular matrices are computed using the second core processor by Givens Rotation algorithm. This design of multicore processor can achieve 50M QRD/s throughput for (4 × 4) matrices at running frequency 200 MHz.
Methods and models of protecting computer networks from un-wanted network traffic
Authors: Rajaboevich Gulomov Sherzod , Abdujalilovich Ganiev Abdukhalil
Published: November 2018

In this article a method of measure network traffic to collect data about the header of packets and to analyze the traffic dump in computer networks are offered. A method for detecting anomalies and a formal model for protecting information from DDoS attacks, which make it possible to simplify the development of filter rule sets and improve the efficiency of computer networks, taking into account, the interaction of detection modules and the use of formal set-theoretic constructions are proposed.
Approaches for effective using of interline power flow controller steady state model
Authors: A. Hussein Nabil , A. Eisa Ayamn , M. Mahmoud Hassan , A. Shehata Safy , A. Othman El-Saeed
Published: November 2018

Interline power flow controller (IPFC) is the latest proposed flexible alternating current transmission systems (FACTS) device. Although IPFC was proposed in 1998, its performance studying stills good research area. It cannot be denied that, the first step for performance anal-ysis is developing an effective simulation model. This paper is tackling; the steady state modeling for a power system equipped with IPFC device, approaches for applying this model and the idea behind each approach. 5-Bus, 14-Bus and 30-Bus systems have been chosen as case studies to support the comparison between the three approaches.
Big data simulation software for breast cancer growth repository system
Authors: Alias Norma , Che. Abd. Ghani Asnida , Farhah Saipan Saipo Hafizah , Mugahed Al-Rahmi Waleed , Yahaya Noraffandy
Published: November 2018

The development of the simulation software aims at anticipating the growth of breast cancer. Based on certain numerical iterative methods, this simulation works with discretization and Partial Differential Equation (PDE). As a class of Helmholtz equations, PDE approach are known to govern the growth of this type of cancer. Considering both time and place, the Helmholtz equation’s accuracy visualizes breast cancer and its growth. This growth is of breast cancer is captured and the convergence results in sequential and parallel computing environ-ment is expressed through the numerical libraries available in the repository system. Currently, both the parallel performance measurement and Numerical analysis that involve execution time, speedup, efficiency, effectiveness and temporal performance are being investigated. The process of breast cancer visualization requires a huge memory and expensive calculations. It is observed that both the distributed memory and distributed processors of the parallel computer systems development were required in most of the studies conducted on the growth of this cancer. It is considered as an important computation platform needed to the development of parallel repository system leading to an increase in the speed and a decrease in the cost. The simulation software has several beneficial characteristics such as high performance estimation, multidimensional visualization of breast cancer and being friendly. It also provides a real time solution and strength. This soft-ware is expected to increase the level of confidence in terms of computer-aided decision making which can be reflected positively on com-prehensive breast cancer screening; breast cancer diagnosis; and clinical assessments and treatment.
2D Finite Element Modeling and Analysis of Dry Turning Process of Aeronautic Aluminium Alloy 2024
Authors: Ijaz Hassan , Saleem Waqas , Asad Muhammad , Alzahrani Ahmed , Mabrouki Tarek
Published: November 2018

The identification and selection of different physical parameters greatly influence the machining of materials. Cutting speed, feed, tool rake angle and friction are important physical parameters that affect the machining of the materials. Selection of suitable cutting parameters can help to achieve the better machining quality and enhanced tool life. Properly defined FE-model can efficiently simulate the machining processes and thus may help to save the machining cost and expensive materials instead of performing real-life experiments. In the present work, a detailed finite element analysis on the orthogonal cutting of aluminium alloy (AA2024) is conducted to validate the FE-based machining model. Numerically obtained resultant cutting forces are successfully compared with the experimental results for 0.3 and 0.4 mm/rev cutting feeds with 17.5° tool rake angle. Subsequently, the cutting forces are predicted for the selected feeds of 0.35 & 0.45 mm/rev and for different tool rake angles like 9.5°, 13.5° & 21.5° using finite element analysis. Finally, the optimum cutting parameters are suggested for cutting AA2024.
High speed multi-channel data acquisition technique for efficient hardware utilization using quad data rate approach
Authors: Chauhan Priyanka , Israni Dippal , Jasani Karan , Makwana Ashwin
Published: November 2018

Data acquisition is the most demanding application for the acquisition and monitoring of various sensor signals. The data received are processed in real-time environment. This paper proposes a novel Data Acquisition (DAQ) technique for better resource utilization with less power consumption. Present work has designed and compared advanced Quad Data Rate (QDR) technique with traditional Dual Data Rate (DDR) technique in terms of resource utilization and power consumption of Field Programmable Gate Array (FPGA) hardware. Xilinx ISE is used to verify results of FPGA resource utilization by QDR with state of the art DDR approach. The paper ratiocinates that QDR technique outperforms traditional DDR technique in terms of FPGA resource utilization.
Implementation of fast FFT design for 128-point using Radix-22 CFA
Authors: Bansal Manish , Nakhate Sangeeta
Published: November 2018

In this paper, implementation of fast FFT design for 128- point using Radix-22 CFA is presented. This research uses a common factor algorithm which is based on Radix-22. A 2-point DFT butterfly structure is the lowest complexity structure and Radix-22 CFA is used to reduce logic and area by reducing the number of twiddle factors. The VHDL code is written and synthesized using Xilinx FPGA device xc7vx330t-3ffg1761 to implement the proposed design. This design is coded in VHDL and MATLAB. VHDL code is targeted to synthesize into Xilinx Virtex-7 FPGA and simulated into ModelSim PE Student Edition 10.4a. MATLAB code is simulated into MATLAB 2012. The proposed design achieves 149.822 MHz clock frequency, used 2802 slices on the Virtex-7 and SQNR 33.49 dB at 16-bit I/O word length.
A Gradient Based Approach for Fingerprint Image Segmentation using Morphological Operators
Authors: Joy Reji , S Hemalatha
Published: November 2018

The advancement of science and technology has made the reliable individual recognition and identification systems to become very popular. From the various biometric characteristics, fingerprint is one of the popular method because of its easiness and not much effort is required to acquire fingerprint. First step for an Automated Fingerprint Identification System (AFIS) is the segmentation of fingerprint from the acquired image. During fingerprint segmentation process the input image is decomposed into foreground and background areas. The foreground area contains information that are needed in the automatic fingerprint recognition systems. However, the background is a noisy region that contributes to the extraction of false features. So in an AFIS, fingerprint image segmentation plays an important role in carefully separating ridge like part (foreground) from noisy background. Gradient based method is commonly used for segmentation process. Since gradient estimation is erroneous in noisy images, the study proposes a combination of gradient mask and morphological operations to segment fingerprint foreground effectively. The results obtained prove that the new method is suited for fingerprint segmentation.
Cycle checking algorithm for verifying the connectivity of a fault tolerant network structure
Authors: B Nethravathi , V. N Kamalesh
Published: November 2018

The key challenges while designing a communication network structures and critical network topologies is to take accounts of aspects related to failures. Over years efforts are being made for constructing quality fault tolerance network structures. The performance of a network application depends on the stability and survivability of underlined interconnection network structure. Node –connectivity of a network graph is a globally accepted deterministic measure for measuring the fault tolerance in a network structure. Once the network is designed and constructed by any one of the existing design algorithm and claimed that the constructed network is k-connected network, this research paper proposes a cute cycle based method to verify the same.
A priority based on min-min algorithm for reducing make span task scheduling in cloud computing
Authors: Obaid Abdulrahman Mohammed Hussein , Pani Santosh Kumar , Pattnaik Prasant Kumar
Published: November 2018

This paper proposes a two-phase technique for task scheduling which works on third-party broker. The priority algorithm is executed by selecting the task that has the highest priority. However, if more than one task has the same priority; it goes to second phase to execute the traditional Min-Min algorithm. Experiments are conducted by considering random tasks in order to compare the performance of the pro-posed algorithm with the Min-Min algorithm. The recorded experimental outcomes indicate that the proposed technique is given 10% better results as compared to the traditional Min-Min algorithm.
A sporadic decomposition of Hankel structured matrix in logarithmic and wavelet domain for impulse noise removal
Authors: Victoria.L Baby , S Sathappan
Published: November 2018

Noise removal from the color images is the most significant and challenging task in image processing. Among different conventional filter methods, a robust Annihilating filter-based Low-rank Hankel matrix (r-ALOHA) approach was proposed as an impulse noise removal algorithm that uses the sparse and low-rank decomposition of a Hankel structured matrix to decompose the sparse impulse noise components from an original image. However, in this algorithm, the patch image was considered as it was sparse in the Fourier domain only. It requires an analysis of noise removal performance by considering the other transform domains. Hence in this article, the r-ALOHA can be extended into other transform domains such as log and exponential. In the log and exponential domain, the logarithmic and exponential functions are used for modeling the multiplicative noise model. But, this model is used only for positive outcomes. Therefore, wavelet transform domain is applied to the noise model that localizes an image pixel in both frequency and time domain simultaneously. Moreover, it separates the most vital information in a given image. Thus, it is feasible for obtaining a better approximation of the considered function using few coefficients. Finally, the experimental results show the performance effectiveness of the proposed algorithm.
Survey of technologies of self-organizing networks (SON)
Authors: Sharama Apurva , Jaswinder Singh Dr.
Published: November 2018

Due to increase in existing web availability, self organized systems are expected to give a quick, adaptable and cost-effective solution for satisfy the gap between limit and request/demand to adapt to the quick development in remote activity or wireless traffic. The main purpose of introducing SON algorithm is to simplify the network operations via automating repeated tasks in network operations. Hence, in SON empowered system operations, methods that hold the human administrator in manual system operations are substituted via programmed SON functions. Self organized systems or intelligent frameworks are required for remote portable systems to deal with broad number of clients in the meantime and to support the human administrator in manual system operations; that are substituted via automatic SON functions since the human administrators don't have to gather and examine the system information. Self organized networks are needed for the controlling the big challenge of mobile traffic growth and to reduce the cost efficiency. Efficient methods are required for automatic channel selection, power adjustment, and frequency assignment for autonomous interference coordination and coverage optimization.
A fusion fuzzy model for detecting phony accounts in social networks
Authors: Srinivas Rao P. , Gyani Jayadev , Narsimha G.
Published: November 2018

In online social network’s phony account detection is one of the major task among the ability of genuine user from forged user account. The fundamental objective of detection of phony account framework is to detect fake account and removal technique in Social network user sites. This work concentrates on detection of phony account in which it depends on normal basis framework, transformative Algorithms and fuzzy technique. Initially, the most essential attributes including personal attributes, comparability techniques and various real user review, tweets, or comments are extricated. A direct blend of these attributes demonstrates the significance of each reviews tweets comments etc. To compute closeness measure, a consolidated strategy in view of artiﬁcial honey bee state Algorithm and fuzzy technique are utilized. Second approach is proposed to alter the best weights of the normal user attributes utilizing the social network activities/transaction and inherited Algorithm. Finally, a normal rank rationale framework is utilized to calculate the ﬁnal scoring of normal user activities. The decision making of proposed approach to find phony account are variation with existing techniques user behavioral analysis using data sets and machine learning techniques such as crowdflower_sample and genuine_accounts_sample dataset of facebook and Twitter. The outcomes demonstrate that proposed strategy overcomes the previously mentioned strategies.
An Automated Framework for Brain Tumour Class Detection
Authors: Nandan B , Nageswara Rao Kunjam
Published: November 2018

With the significant growth in medical imaging techniques and the demand for better processing of medical information, the mandate of automation in disease detection is also increasing. In the modern time, the nature of the diseases has also changed. The highly mortal diseases are becoming difficult to detect due to the high involvements of medical individual and high dependency of human knowledges. The human knowledge is prone to error and often criticized for longer time delay for processing information in disease detections. Thus, the demand from the modern computing and implementation based computational algorithms are to automate the medical disease detection processes with greater accuracy. One such disease with superior mortal rate is brain tumours or cancerous growth in the brain tissues. The regular medical practice approaches have demonstrated the challenges in detection of the tumours and more so the nature of the tumours. Ill detection of the tumour type or the shape of the tumour or the size of the tumours can lead to life threats. Thus, the need for automation in detection is the most expected form of replacements in place of manual diagnosis. Another challenge is the available data formats for such disease reports. The available reports for brain tumour are only in the form of magnetic resonance images or MR Images. The MR Images can cause higher obstacles for further processing as due to the capture process of the patient data. Often, it is observed that the noise present in the MR images makes the processing vulnerable in accuracy. A number of parallel research outcomes have demonstrated significant outcomes of detection of available tumours in the human brain using segmentation methods. Nonetheless, all parallel attempts are criticized for not able to model the growth or the nature of the tumours presents in the human brain. Thus, this work proposes a novel automated framework for detection of tumour types by deploying progressive segmentation and model the growth stages based on features. The parallel outcomes have outrun on detection accuracy due to the use of standard segmentation methods, which is designed for generic image processing and bound not to match the specificity of medical image processing. Thus, this work introduces a novel segmentation method, which is progressive in nature for higher accuracy. This work also outcomes into an automated feature extraction model for brain tumours. The major contribution of the work is to determine the nature of tumour and a sustainable prediction model for tumour stages inside the human brain. The work demonstrates high accuracy for correct detection and prediction of the patient’s life threats in in real time order to take timely medication for making the precious human life more precious.
Utilizing image processing techniques for detecting breast abnormalities in thermography images
Authors: Saadoon Abdoon Rabab
Published: November 2018

Thermal Infrared (TIR) imaging of breasts involves a non-invasive, non-ionized, passive, safe and painless scan of the breasts. It is a graphing of the changes in breasts skin temperature using thermography. Thermograms are temperature distribution patterns with different colors to indicate temperature of the different regions within the tested breast, each color refers to a certain temperature range. In this work, three breast thermography images: one for normal case and two for cancerous cases, were employed to test the performance of the proposed segmentation methods: Region growing; clustering (K-means and FCM) algorithms and Histogram based enhancement technique to segment, detect and isolate the suspicious abnormal regions. These techniques were performed with the aid of suitable morphological operations to get the refined regions of interest. The results proved the efficiency of the proposed techniques to extract the abnormal (of high temperature) regions.
The Influence of the form Error after Rotor Manufacturing on the Output Characteristics of an Orbital Hydraulic Motor
Authors: Panchenko Anatolii , Voloshina Angela , Milaeva Irina , Panchenko Igor , Titova Olena , . .
Published: November 2018

The technology of rotors manufacturing for orbital hydraulic motors causes a certain form error of the gear surface. This leads to oscillations of the diametrical gap between the rotors. Such oscillations have a negative effect on the change in the output characteristics of the orbital motor. The previous studies on the issue consider the interaction between the rotors of orbital hydraulic machines as a gapless (theoretical) connection. The authors do not take into account that between the rotors of the orbital hydraulic motor, there is no rigid kinematic connection. This allows the internal rotor to move randomly within the diametrical gap (self-aligning). The study led to the development of the mathematical models that describe the relationship between the design features of the rotors and the output characteristics of an orbital hydraulic motor. To simulate the oscillation of the diametrical gap, the limiting deviations for the form error of the rotor gear surfaces have been substantiated. Investigations revealed that fluctuations in the form error of the rotor gear surface have a significant effect on the variation of the diametrical gap. The limiting deviations in the form errors of the gear surface manufacturing enabled to eliminate the oscillation of the diametrical gap and to ensure stability of the output characteristics for the orbital hydraulic motor.
Justification of the Kinematic Diagrams for the Distribution System of a Planetary Hydraulic Motor
Authors: Voloshina Angela , Panchenko Anatolii , Boltynskiy Oleg , Panchenko Igor , Titova Olena
Published: November 2018

The output characteristics of a planetary (orbital) hydraulic motor could be significantly improved if the kinematic diagrams for its working fluid distribution system are chosen correctly and substantiated. Fluctuations in the flow of the power fluid cause pulsation in the cavity of the input pressure of the hydraulic motor. This results to vibration of the hydraulic system elements. Thus, the hydraulic motor can be considered as a source of pulsation which leads to functional failures of the hydraulic system. As they run at low rotational speeds with high torque, planetary hydraulic motors are commonly applied for a hydraulic drive in active working tools of self-propelled machinery. It has been established that one of the main components of a planetary hydraulic motor, which causes pressure pulsations, is its distribution system. The frequency and amplitude of these pulsations depends on the kinematic diagram for the distribution system of the power fluid. Therefore, we studied how the kinematic diagram for the distribution system effects on the output characteristics of a planetary motor. Since the change in the capacity of a distribution system with various kinematic diagrams influences on the output characteristics of a planetary motor, the impact was investigated. The kinematic diagrams, which improve the output characteristics of planetary hydraulic motors, were justified.
The Determination of the Parameters of a Vibration Machinef the Internal Compaction of Concrete Mixtures
Authors: Maslov Alexander , Batsaikhan Janar , Puzyr Ruslan , Salenko Yulia
Published: November 2018

The determination of the rational parameters of a vibration machine for the internal compaction of concrete mixtures. We researched the “vibration machine – concrete medium” system wherein the concrete medium is represented by a system with distributed parameters that takes into account the resilient, viscous, inertial and energy properties of the compacted concrete medium. We researched the propagation of the viscous-resilient-plastic deformation waves in the contracted concrete mixture represented in the form of a half-space. We determined the amplitudes of the oscillations and stresses occurring in the compacted mixture depending on its physical and mechanical characteristics. We determined the oscillation amplitude of the vibration machine, identified its rational parameters. We determined the regularity of the motion of the compacted mixture and the vibration machine depending on the physical and mathematical characteristics of the compacted mixture, the thickness and width of the compacted layer, the angular oscillation frequency and the amplitude of the exciting force. The presented dependences enable the substantiation of the rational parameters of the vibration machine and the modes of vibratory action.
Implementation of Mobile Smart Key System using the NFC Function of the Smartphone
Authors: Geon Pak Ju , Ram Lee Bo , Suk Lee Myung
Published: November 2018

As the numbers of traveler increases and BYOD culture spreads, this study developed a smart key system using NFC of smart phone that allows people to use their smart phones to easily make room reservations and enter their rooms without separate keys. This system attempts to resolve difficulties experienced while managing and utilizing accommodations from a distance, difficulties experienced when users lose keys or forget their password and in communication between users and managers. The test results in the actual locker management, it is very useful to utilize of the locker administration in the various place, as well as useful accommodation. The implemented smart key system has the benefit to control the Doorlock without a secret number.
A Study on Lightweight Cryptography Algorithm for IoT based Bicycle Sharing System
Authors: Bajracharya Larsson , Jeong Jongmun , Hwang Mintae
Published: November 2018

In this paper, we studied lightweight cryptography for IoT based Bicycle Sharing System. We maintained a remotely located real time server and four separate stations with kiosk control box system, designed with Internet based IoT devices. Then, we calculated the processing time to unlock the bicycle from each station, once the request was sent to the server. The calculated load and processing time were compared after the application of   cryptography algorithm. The comparison helped us conclude that the LEA cryptography showed minimal time difference when applied in a real time system. At the same time, highly secure data transmission was also achieved.
Culinary Recipe Recommendation based on Text Analytics
Authors: Hong Jiheon , Lee Heejung
Published: November 2018

Many researchers and practitioners have studied the recipe recommendation, and that problem is not only to find the tasty dishes based on the individual’s preference, but also to generate new ones. In the digital age, understanding and utilizing text data is one of the most important part in the knowledge discovery. In this paper, we proposed how to use text analysis in the recipe recommendation problem and provided the insights to design new recipes.
Interference Analysis of PLC Convergence System
Authors: Ghyu Sun Young , Min Hwang Yu , Sim Issac , Young Kim Jin
Published: November 2018

In this paper, we propose a convergence system with visible light communication (VLC) and powerline communication (PLC) for home network. Also, we analyze the performance of interference mitigation scheme for the proposed   system model. The proposed system is able to offer multimedia services with high speed in indoor wireless environment. Interference scenario is suggested to demonstrate the proposed system. And the scenario analyzed by applying minimum mean square error (MMSE) and zero-forcing (ZF) schemes to reduce the interference. From simulation results, we confirm that interference has a significant effect on the proposed system performance and the applied detectors are highly effective for interference mitigation.
Visual-MIMO for Software-Defined Vehicular Networks
Authors: Ho Kwon Tae , Eun Kim Jai , Soo An Ki , Saha Rappy , Doo Kim Ki
Published: November 2018

The paradigm of software-defined network (SDN) is being applied to vehicle scenarios in order to eliminate this heterogeneity of vehicular network infrastructure and to manage packet flow in an application- and user-centrically flexible and efficient manner. However, owing to the random mobility of vehicles and the unpredictable road communication environment, efficient vehicle-based SDN development needs further research. In this study, we propose the concept of a sub-control plane for supporting and backing up, at the data plane level, various functions of the control plane, which plays a key role in SDN. The sub-control plane can be intuitively understood through the image processing techniques used in color-independent visual-MIMO (multiple input multiple output) networking, and the function of the control plane can be backed up through various vehicle-based recognition and tracking algorithms under the situation of disconnection between the data plane and the control plane. The proposed sub-control plane is expected to facilitate efficient management of the software-defined vehicular network (SDVN) and improve vehicular communication performance and service quality.
RSM Analysis of In-cylinder Pressure in a DICI Engine Fueled with Argemone Mexicana Biodiesel-diesel Blends
Authors: K. Parida M. , Routaray I.
Published: November 2018

In the current analysis engine load, compression ratio and bio-diesel blends are taken as input parameters to evaluate the combustion parameter i.e maximum in cylinder pressure with methyl esters of Argemone Mexicana and its diesel blends in a VCR multi-fuel engine. Response surface method of Full Factorial Design (FFD) is used in the present study for modelling and analyzing the combustion parameter with Minitab-14.0 software. The response surface and contour plots of different models are plotted by holding mean value of other input parameter. The developed model, data regression, significance analysis and individual model coefficients were studied and presented for model validation.
Handwritten Optical Character Extraction and Recognition from Catalogue Sheets
Authors: Shanmugavel Subramanian , Kannan Jagadeesh , Vaithilingam Sudhakar Arjun , . .
Published: November 2018

The dataset consists of 20000 scanned catalogues of fossils and other artifacts compiled by the Geological Sciences Department. The images look like a scanned form filled with blue ink ball pen. The character extraction and identification is the first phase of the research and in the second phase we are planning to use the HMM model to extract the entire text from the form and store it in a digitized format. We used various image processing and computer vision techniques to extract characters from the 20000 handwritten catalogues. Techniques used for character extraction are Erode, MorphologyEx, Dilate, canny edge detection, find Counters, Counter Area etc. We used Histogram of Gradients (HOGs) to extract features from the character images and applied k-means and agglomerative clustering to perform unsupervised learning. This would allow us to prepare a labelled training dataset for the second phase. We also tried converting images from RGB to CMYK to improve k-means clustering performance. We also used thresholding to extract blue ink characters from the form after converting the image in HSV color format, but the background noise was significant, and results obtained were not promising. We are researching a more robust method to extract characters that doesn’t deform the characters and takes alignment into consideration.
A Case Study on Solar Vapour Absorption Refrigeration System
Authors: Girish K.V.S. Shabari , R Praveen , Nair Dipesh , Sahu Debjyoti
Published: November 2018

Solar refrigeration may have applications in both developed and developing countries. Applications in developing countries such as air-conditioning, vaccine storage or large scale food preservation have been the subject of scientific research. Ammonia-water based system has good COP but generally vapor absorption refrigeration system requires high generator temperature and high circulating ratio aided by a powerful pump. Our objective was to trivialize the role of circulating ratio and simultaneously achieve higher COP. A prototype model was designed, fabricated in laboratory using scrap material and tested; performance of the unit has been analyzed. A parabolic solar trough was used as a source of heat. Various components were modeled in computer and analyzed using ANSYS. The performances and effectiveness of the unit was studied by determining refrigeration effect (RE) and   coefficient of performance (COP).
Influence of Boron Carbide Addition on Performance and Neutron Shielding Ability of Cement Mortar Mix
Authors: A J Satish , P N Aravind , P V Hakesh , V Vignesh , Mini K M Dr
Published: November 2018

Renewable source of energy is the best form of consumable energy that can be harnessed from the earth’s available resources in a sustainable manner. Nuclear energy obtained from nuclear fission reactions from the nuclear reactors is an example of such kind of energy, but deeply requires caution in the handling of operations. Leakage of fast moving high energy neutrons creates harm to both the environment and mankind and hence should be shielded from all available means. One such effort to shield this high energy radiation is by using boron carbide infused cement mortar that can be used for plastering and other similar applications in the construction of nuclear reactors. The strength and performance based characteristics of such type of mortar are studied and improved by adding super-plasticiser and pozzolanic materials like microsilica and metakaolin. Also durability studies like alkalinity, water absorption etc are done to analyse the lifetime of the design mix. EDS and SEM analysis were also performed extensively to study the microstructure of the casted specimen and to analyse the elemental composition cum distribution (by EDS mapping) for the calculation of the neutron attenuation of the specimen mix. Based on these an optimum combination is arrived at for practical applications that has a desirable strength, performance, durability and neutron shielding property.
Automatic Generation Control of Multi-Area Solar-Thermal Power System Using Fruit-Fly Optimization Algorithm
Authors: V.S.Acharyulu B. , K.Hota P. , Mohanty Banaja
Published: November 2018

In this paper, fruit-fly optimization algorithm (FOA) is applied to automatic generation control (AGC) of multi-area power systems. In the proposed three-area system, reheat thermal systems are considered in all areas incorporating solar thermal power plant (STPP) in one of the areas. The optimum gain of proportional-integral-derivative (PID) controller is optimized applying FOA technique. The strength of FOA is established by comparing the results with well-established Grey Wolf optimizer (GWO) technique for the same interconnected power system. The performances of the system with FOA technique are found to be better than GWO algorithm for both with and without incorporating STPP in area-1. Further, from the sensitivity analysis, it is evident that the PID controller gains obtained by FOA technique under normal conditions are found to be better even for large changes in slip and system load conditions.
Estimation of Power for Reversible Subtractors
Authors: V.Naga Lakshmi E. , N.Siva Sankara Reddy Dr.
Published: November 2018

In recent years Reversible Logic Circuits (RLC) are proved to be more efficient in terms of power dissipation. Hence, most of the researchers developed Reversible logic circuits for low power applications. RLC are designed with the help of Reversible Logic Gates (RLG).Â Â  Efficiency of the Reversible gates is measured in terms of Quantum cost, gate count, garbage output lines, logic depth and constant inputs. In this paper, measurement of power for RLG is done. Basic RLGs are designed using GDI technology and compared in terms of power dissipation. 1 bit Full subtractor is designed using EVNL gate [1] and also with TG& Fy [6] gates. The power dissipation is compared with 1 bit TR gate [5] full subtractor.Â  Then 2 bit, 4 bit and 8 bit subtractors are designed and compared the powers. Proposed 4 bit and 8 bit full subtractors are dissipating less power when compared to TR gate 4 bit and 8 bit subtractors.Â Â
Computational Study on Effect of Obstacles in Pulse Detonation Engine
Authors: Tripathi Saurabh , Murari Pandey Krishna , Randive Pitambar
Published: November 2018

Deflagration to Detonation transition is an important factor in the operation of pulse detonation engine which is basically working on the constant volume cycle. Insertion of obstacles decreases the DDT length. Hydrogen and the oxygen-enriched air was used as fuel and oxidizer respectively. The Purge gas is not required used. K-Ô‘ turbulence model is being used for the simulation and for combustion species transport model is being used. Effect of blockage ratio and obstacle spacing is also discussed. A blockage ratio of 0.5 is considered for the Shchelkin spiral. Temperature profile, flame propagation velocity and average peak pressure variation are discussed. Two-dimensional geometry and Shchelkin shape of obstacles are being considered. The comparison is done between straight tube and tube with obstacles. Numerical simulation is done and the results are being compared with those obtained through experimental investigation.Â Â
Review On Application of Data Mining in Life Insurance
Authors: A. Hiwase Vaibhav , Avinash J Agrawa Dr.
Published: November 2018

The growth of life insurance has been mainly depending on the risk of insured people. These risks are unevenly distributed among the people which can be captured from different characteristics and lifestyle. These unknown distribution needs to be analyzed from Â Â Â Â Â Â Â historical data and use for underwriting and policy-making in life insurance industry. Traditionally risk is calculated from selected Â Â Â Â features known as risk factors but today it becomes important to know these risk factors in high dimensional feature space. Clustering in high dimensional feature is a challenging task mainly because of the curse of dimensionality and noisy features. Hence the use of data mining and machine learning techniques should experiment to see some interesting pattern and behaviour. This will help life insurance company to protect from financial loss to the insured person and company as well. This paper focuses on analyzing hidden correlation among features and use it for risk calculation of an individual customer.Â Â
Development of a Multi-Motor Power System for Vehicles Converted to Electric
Authors: Zapata Sebastian Correa , Crismatt Carlos Vergara , Mesa Edgar Rico
Published: November 2018

The GACIPE research group has been developing a project focused on the conversion of an internal combustion car to an electric one, implementing a mechanical and electronic development with the objective of implementing new technologies in the automotive sector by designing drivers to control the speed of multiple 2.2 kw DC motors with a new trigger procedure of the power devices. This project is a small contribution to reducing the effects of climate change.
Ultraviolet Radiation Index Over Ota, Nigeria
Authors: R. Usikalu M. , V. Omotosho T. , O. Ndubuisi A. , A. Achuka J. , J Abodunrin T. , Bello T.
Published: November 2018

The sun has been observed to emit radiation in three major wavelengths; visible light (400-700nm), infrared radiation (700-1000nm) and ultraviolet radiation (UV) (3.0-400nm). UV possesses a short wavelength, hence, it is more energetic when compared to radiation of longer wavelengths. Davis wireless vantage pro2 weather station was used to obatin the UV radiation data over Ota, Ogun State, Nigeria from May 2012 to December 2013. The research revealed that mean UV index was 5.37. The UV peak time was consistently 12 noon for year 2012, while it was found to be 1:00 pm in March and April for 2013. Thus, the study observed that UV index over Ota is in the moderate range.
Large Format Ceramic Panels Versus Recycled Aluminum Casting Panels: Improvement of the Thermal Behavior of the Museum of Fine Arts of Castellón
Authors: Echarri Iribarren Víctor , Gómez Castelló Ginés , Rizo Maestre Carlos
Published: November 2018

There is a growing awareness towards the use in architecture of construction materials produced in the area in which the buildings are to be implemented. The reduction of environmental impacts derived from the lower consumption of energy in transportation is significant. In addition, the materials used in the façades have special relevance in the value of the annual energy demand. This fact becomes more important in the case of emblematic buildings with social media impact, both for the quality of their design and for the functional contributions they can make. Sometimes, even for purely aesthetic reasons, the paradox of opting for constructive solutions with worse performance, worse aging, a higher cost of maintenance operations or a higher value of annual energy demand is established. In this research the Museum of Fine Arts of Castellón is analyzed, made with cast aluminum recycled panels as a finishing material on the façade. A comparison is made with the alternative scenario, ventilated ceramic façade, of having used large format ceramic panels, produced in the region, where the ceramic sector is a very important cluster. The reduction of the value of the annual energy demand by 12% is evaluated by the improvements established in the ventilated ceramic façade.
Reduction in Path Failures by Adopting Multi-Channel Multi -Path in Routing For Dynamic Activity of Primary Users
Authors: Mishra Priyank , Kumar Tiwari Brajesh
Published: November 2018

The Cognitive radio (CR) expertise has been recently proposed to deal with the spectrum shortage problem resulted by inappropriate spectrum supervision policies by enabling unauthorized users to use the authorized spectrum band in opportunistic and non-intrusive vigilant approach. In CRAHNs, the data routing is one of the main challenge as the channel accessibility and the activity of primary users are unpredictable. In this article, a new algorithm is proposed which counteracts the problem of path failure by adopting multi-channel multi-path reverse route for RREP packets. The protocol utilizes the hybrid of path and spectrum diversity techniques in routing. The performance assessment is conducted through simulation using the NS-2 simulator. The performance of the proposed protocol is compared with CAODV and D2CARP protocols in terms of packet delivery ratio, average energy, end-to-end delay, throughput, overhead and hop-count. The simulation consequences prove that the proposed protocol do better than CAODV and D2CARP in terms of the above mentioned performance metrics.
An Improved Round Robin CPU Scheduling Algorithm based on Priority of Process
Authors: Prasad Arya Govind , Nilay Kumar , Prasad Devendra
Published: November 2018

The most important and integral part of a computer system is its operating system. Scheduling various resources is one of the most critical tasks an operating system needs to perform. Process scheduling being one of those tasks, involves various techniques that define how more than one processes can be executed simultaneously. The primary aim here is to the system more efficient and faster. The fundamental scheduling algorithms are: First Come First Serve (FCFS), Round Robin, Priority Based Scheduling, and Shortest Job First (SJF). This paper focuses on Round Robin Scheduling algorithm and various issues related to it. One major issue in RR scheduling is determining the length of Time Quantum. If the Time Quantum is too large RR scheduling behaves as FCFS. On the other hand, if it is too small it forces considerable increase in the number of context switches. Our main objective is to overcome this limitation of traditional RR scheduling algorithm and maximize CPU utilization, further, leading to more efficient and faster system. Here we propose an algorithm that categorizes available processes into High Priority processes and Low Priority process. The proposed algorithm reduces the average waiting time of High Priority processes in all cases and of Low Priority processes in not all but some cases. The overall waiting time changes on the basis of set of processes considered. The simulation results justify that the proposed schemes reduces the overall average waiting time when compared to the existing schemes.
A Survey on Techniques Adopted in the Prioritization of Test Cases for Regression Testing
Authors: Bruce. E John , Sasi Prabha T
Published: November 2018

Regression testing is testing the software with the intention to confirm that changes made on part of a module do not necessitate other parts of the module. Test case prioritization helps to reduce regression testing cost by ordering the test cases in such a way that it produces optimized results. Code Coverage and Fault detection being the factors behind the prioritization is dealt with techniques like Heuristic method, Meta Heuristic methods and Data mining techniques. The effectiveness of the techniques applied can be evaluated with the metrics like Average Percentage of Fault Detection (APFD) , Average Percentage Block Coverage (APBC), Average Percentage Decision Coverage (APDC) etc . In this paper,, a detailed survey on the various techniques adopted for the prioritization of test cases are presented.
Optical Sensor for Analysis of Amonia, Iron and Manganese Nutrients
Authors: B Lapsiwala Pranav , . .
Published: November 2018

The soil nutrients sensor is developed with the help of Light Emitting diodes (LEDs), Photodiode, microcontroller or microprocessor circuit and data logger system. The sensor is working on photometric principle and detects the soil nutrients. The wavelength of LED used as chemical agent and that is reacts with soil sample. The wavelength of LED is useful to detect nutrients like ammonia nitrogen (NHf4-N), iron (Fe), manganese (Mn) by colour changes with the help of different chemical reagent. The resolution of 1.0-20 mg/100 g has been performed for solution of soil nutrients. The samples are taken from different land and results are compared with database created for analysis.
Production of Biodiesel from Waste Cooking Oil and Its Performance on Four Strokes IC Engine
Authors: S V S R Krishna B. , B K Shivaraj
Published: November 2018

Majority of biodiesel is produced from plant oil (Jatropha, Pongamia, Mahua, Neem, Cotton seed oil etc.), which requires large land area to grow. The major drawback of production of biodiesel in large scale is the cost of raw materials. One of the satisfactory methods to limit the Biodiesel (Methyl esters) production cost is to employ low price/quality raw material, for instance biodiesel production using waste cooking oil (WCO). Simultaneously solves the disposal problem of waste cooking oil. This is socioeconomic and environment friendly and it does not compete with fresh food oil resources. Waste cooking oil collected from different hotels in and around Manipal/Udupi of Karnataka, India. Transesterification reaction of WCO with methanol in presence of alkaline catalyst KOH has been accomplished in transesterification reactor. Experiments have been carried out at different operating conditions viz. catalyst loading (over the range of 0.4 to 3 wt %), oil to methanol ratio (1:3, 1:5, 1:6, 1:8, 1:9, 1:10 and 1:12), reaction temperature (50, 60 and 70 ºC) and reaction time (40, 50, 60, 70, 80 and 90 minutes) to identify optimized conditions for preparation of biodiesel. At these conditions gave that maximum yield (~91.60 %) of biodiesel at catalyst loading of 0.85 wt %, oil to methanol ratio of 1:8, reaction temperature of 60 ºC and reaction time of 60 minutes. Biodiesel properties at different blends (B100, B30, B20, and B5) as prescribed by ASTM D6751-12 methods have been carried out. Its performance and emission test on diesel engine were also carried out.