bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey of Methods for Genome Functional Analysis in Comparative Genomics
Authors: Udayaraju P , B. Siva Varma P , Jeevana Sujitha M
Published: July 2018

In biomedical technologies, Gene functional analysis is an emerging concept in understands the DNA sequence and gene product analysis and gene interaction in different real time medical applications. Finding data sequences of gene functionalities. There are many techniques have been used to progress functionality of functionality of genome analysis. In this paper, we present algorithmic, calculation oriented and mathematical comparison under analysis of genome. We develop techniques for dynamic and automatic calculation of Genome relations; these relations are enabled in automatic identification of orthodox for Genome from redundant Genes in yeast Genome. We present a method to identify automatic protein to protein interaction Based on related patterns related to specific presentations, we observe understand frame of functional proteins were developed to find Gene identification with accurate and reliable formations like sensitivity & specificity. We also present methods for systematic “denovo” identification of motifs. The techniques do not depend on previous information of gene operate and in that way stand out from the present literary works on computational design finding. Based on the genome-wide preservation styles of known elements, we designed three preservation requirements that we used to discover novel motifs. Our comparative results give comparative genomic to process our outstanding of any pieces. Our proposed techniques are flexible to verify comprehensive data genes and provide reliable research on complicated genomes on human specifications.
Medical Image Watermarking Technique Using Image Interpolation in Transform Domain
Authors: Priya S , Santhi B , Raja Mohan J
Published: July 2018

In telemedicine, medical data are shared across the world among different specialists for various purposes through an unsecured medium. So there is a need to protect the medical data during transmission. With the help of image watermarking techniques, medical images are protected along with the electronic patient information (EPI). This paper proposes a medical image watermarking, by applying wavelet transform, using an interpolation technique. EPI data is embedded within the transformed medical image to generate a watermarked image. At the extraction side, EPI data are extracted and medical image is reconstructed without any loss. The performance of the proposed method is analyzed using a peak signal to noise ratio (PSNR), mean absolute error (MAE) and structural similarity index (SSIM).   The experimental result shows that the proposed method gives better results.
Categorisation of Tweets Using Ensemble Classification Methods
Authors: Mohanavalli S , Karthika S , . Srividya , R.Uthayan K , Sandya N
Published: July 2018

Twitter is a micro-blogging site that facilitates users to exchange short messages. Twitter is predominantly used in fields like business, healthcare, education and nation security. Twitter is being used by a large number of users for updating real time information and sentiment expression. The objective of this paper is to automate the classification of tweets into particular category using various machine learning algorithms like naïve bayes, SVM, and linear regression model. The proposed ensemble model aims to improve performance metrics of these algorithms. A comparative study of the algorithms used for tweet classification is done and results are discussed in the paper.
Analysis of Vulnerability Detection Tool for Web Services
Authors: Preethi K Senthamil , A Murugan
Published: July 2018

The demand of the web services requirement is increasing day by day, because of this the security of the web services was under risk. To prevent from distinct types of attacks the developer needs to select the vulnerability detection tools, since many tools are available in the market the major challenging task for the developer to find the best tool which suitable for his application requirements. The recent study shows that many vulnerability detection tools provide a low coverage as far as vulnerability detection and higher false positive rate. In this paper, proposed a benchmarking method to accessing and comparing the efficiency of vulnerability detection tools in the web service environment. This method was used to illustrate the two benchmarks for SQL injection and cross site scripting. The first one is depending on predefined set of web services and next one permits user to identify the workload (User defined web services). Proposed system used the open source and commercial tools to test the application with benchmarking standards. Result shows that the benchmarks perfectly depict the efficiency of vulnerability detection tools.
Influence of Engineered Microorganisms on Vermicomposting of Pre-processed Vegetable Waste
Authors: Palaniappan Senthilkumar , Alagappan Murugappan
Published: July 2018

The low optimum level of vermi pile depth (10 cm-15 cm) warrants encroachment of large land area and consume more time in the vermicomposting process.  In engineered vermicomposting, the acceleration of digestion of high volume of waste was done by eliminating the pre-composting and introducing pre-processing the waste.  This process involves chopping, pulverizing, stocking, and drying the waste followed by injecting the engineered microorganisms (EM) at various depths in vermi bin during the vermicomposting process. Pre-processing and injection of EM enabled to increase the substrate depth by two-to-three-fold (30 cm).  Experimentation was conducted in five vermi bins with same quantity of worms (100 gms of E. fetida in each bin), with different stock loads of EM  (0.3ml, 0.4ml, 0.5ml, 0.6ml and 0.7ml) named as Bin 1, Bin 2, Bin 3, Bin 4 and Bin 5 respectively.  In parallel, a control (Bin C1) and conventional (Bin C2) vermi bin were also set up to compare the differences observed.  The outcome of the study clearly showed that the bin loaded with 0.7ml EM (Bin 5) stock achieved high volume reduction (70%). Moreover, the trail unit loaded with 0.5ml of EM stock (Bin 3) exhibited high biomass growth rate than its counter trail units.
A Study on Construction Risks Prioritization and its Management
Authors: B Subramanyam , Karunya.Nemi Chandran Nycilin
Published: July 2018

Construction industry is an important industry and remains so with the continuation of the development process especially in the developing countries. On the other it is very risk and hazard. As industry when compared to other industries financial losses and bodily injury and death, and resulting human, social impacts are more in the case of construction.  Mishaps also contain significant costs that are not insurable. Financial deliberations contains direct costs like medical reimbursement and  hidden costs includes loss of competence by breaking up crew, cost to train fresh or changed employee, damage to equipment and tools, cost experienced by delays. Many researchers have been suggested risk management techniques to minimize the losses in the industry and very few companies may be implemented the suggestions.  The goal of this study is to recognize and rank risks in construction projects. This study proposes the hierarchical dependencies between the criteria. The variations and factors have been investigated via questionnaire and is an element of an on-going research into the application of risk management in major projects. To know the performance and applicable of proposed model set of data collected from different industries by using the informal approaches such as intuition and experiences the study is conducted to prioritize and manage risks.
High-order thinking skill in contextual teaching and learning of mathematics based on lesson study for learning community
Authors: . Hobri , Septiawati Ice , Cahya Prihandoko Antonius
Published: July 2018

This research aimed to develop Mathematics instructional instruments by using Contextual Teaching and Learning (CTL) Based on Lesson Study for Learning Community (LSLC) on “Sequence and Series” Learning Material for the tenth grade students of vocational school as well as to know its effect on the students’ high-order thinking skill. The method used is mixed methods with concurrent triangulation strategy model namely research and development method with Thiagarajan model combined with quantitative method using non equivalent control group design quasi experimental pretest-posttest. The research subjects were the students of SMKN 1 Panji of Situbondo regency, from which two classes were chosen as research sample, class X Accounting 2 as the control class and class X Accounting 3 as the ex-perimental class. High-order thinking skill is measured by using essay test. Assumption test of normality and homogeneity of variance was tested before analyzing the data. The result of the first test showed that the data were not normally distributed. Therefore, the data were ana-lyzed by using Mann-Whitney analysis. The research results showed that: (1) the instructional instruments resulted is valid, the implementa-tion of the instructional instruments is in practical and effective; (2) the significance value (2-tailed) is 0.000 (p < 0.05), which indicated that the application of learning by using CTL Based on LSLC had a significant effect on the students’ high-order thinking skill.
Harmonics reduction of a five-level inverter by unbalanced carriers and over-modulation techniques
Authors: Fawzi Mohammed Mustafa , Husain Ahmad Ali , Thiab Humod AbdulRahim
Published: July 2018

The most concerns in the inverter's design are about, how to make the output voltage of the inverter sinusoidal at the desired fundamental frequency with low total harmonic distortion (THD). This paper presents a design and implementation of single-phase five-level inverter which is powered by single dc source and based on T-type multi-level inverters construction. The proposed inverter is built mainly by six IGBTs and two diodes. The used modulation technique is based on using two triangular carriers at 2000 Hz frequency and shifted by phase opposition disposition (POD) method. The carriers are made slightly unbalanced with their amplitudes. The over-modulation method is also introduced in the design to get the lowest possible THD effect without using filters. The inverter is simulated by MATLAB SIMULINK, implemented practically, and tested with the help of LabVIEW software.
Coal mine disaster management robot using IoT technology
Authors: BhaskarPhani Ram G , L. Koteswara Rao Dr , Mahammad Eliyaz , Bhanuchander A
Published: July 2018

One of the current trends in technology is an IoT. IoT stands for Internet of Things. It is interpreted as the communication between    devices using IP address. Usage of IoT technology in coal mines reduces the number of untoward incidents. Rescue operation in coal mine deals with the risky mission. The work force inside the mine doesn’t know some explosions taking place in the proximity of mines. The rescue team also cannot understand the conditions inside the mine. The environmental parameters include toxic gases, excessive temperature, Methane leakage as well as the Oxygen. Information from the deployed sensor is transmitted to the control room through Wi-Fi. In order to address the problems in real life conditions prevailing inside the coal mine, we propose a new method to extract the related information and process the same to alert the people who are working in the vicinity of the mine. For this purpose, a framework is designed using a robotic machine integrated with the raspberry pi3 version. A camera is used in the robot so that the live video is transmitted to the Control room. A cooling fan is deployed to reduce the temperature whenever the value exceeds the threshold level. The workers get an alarm through buzzer whenever any hazardous gas is detected. The robot is controlled by means of navigation buttons, which are in turn managed internally by web server.
A New 3-D Chaotic System with Conch-Shaped Equilibrium Curve and its Circuit Implementation
Authors: Mamat Mustafa , Vaidyanathan Sundarapandian , Sambas Aceng , Afendee Mohamad , Sampath Sivaperumal , Sanjaya Mada
Published: July 2018

This paper reports the finding a new chaotic system with a conch-shaped equilibrium curve. The proposed system is a new addition to existing chaotic systems with closed curves of equilibrium points in the literature. Lyapunov exponents of the new chaotic system are studiedfor verifying chaos properties and phase portraits of the new system via MATLAB are unveiled. An electronic circuit simulation of the new chaotic system with conch-shaped equilibrium curve is shown using MultiSIM to check the model feasibility.
Automatic detection of ovarian cancer based on improved DWT transformation
Authors: Rashid Sabreena , Kaur Rajdeep
Published: July 2018

Ovarian cancer sub-kinds are distinct pathologic individual with dissimilar prognostic and therapeutic suggestions. Histo-typing by pathologists has good reproducibility; therefore, occasional cases are challenging and require immune histo chemistry and sub-specialty discussion. Motivated by the need for more accurate and reproducible diagnosis and to facilitate pathologist’s work-flow, implement an automated system for ovarian cancer classification and identification. The main problem discussed for detecting procedure fields: (i) the cancer detection on ultra sound image is not easy to classify on the basis of clustering or segmentation. It can involve the False Acceptance Rate and False Rejection Rate higher at the interval of time recognition from the knowledge base.(ii)The working accuracy rate is 90 to 95 of Normal SVM existing systems. Our technique is implemented by detection of the cancer stage accordingly workflow. We implement images of cancer at two enlargement and extract features like a, color, text and shape data using digital image processing techniques. We analyze the machine-learning algorithm and spatial domain algorithm used to extract the features in four phases: LL, HL, LH and HH. Extract the features used to dimension reduction and a SVM classification to divide the 5 ovarian cancer stages. The research paper represents, the details of our implementation and its validate on (Govt. hospital) clinically derived database of high-resolution diagnosis images. The new system attained a linear classification accuracy 98% when classifying un-seen tissues. The method has been implemented using simulation tool using MATLAB 2016a. The Ovarian Stages were then tested for the accuracy using transformation software. Testing consequences defined an accuracy of 94%, Specificity 0.99 and Sensitivity value is 0.9978 for MRI Medical Images respectively.
Monophonic wirelength on Circulant Networks
Authors: Uma Samundesvari K , G. Michael Sindhuja
Published: July 2018

In this paper, we define the monophonic embedding of graph G into graph H and we present an algorithm for finding the monophonic wirelength of circulant networks into the family of grids M(n×2), n≥2.The monophonic embedding of a graph G into a graph H is an embedding denoted by fm is a bijective map from the vertex set of G into the vertex set of H and fm is a one-one mapping from the edge set (x, y) of G into Pm(H) where Pm(H) is the set of monophonic paths between fm(x) and fm(y) for every fm(x), fm(y) H. The monophonic wirelength of fm of G into H is the sum of distances of monophonic paths between two vertices fm(x) and fm(y) in H such that (x, y) E(G). This paper presents a monophonic algorithm to find the monophonic wirelength of circulant networks G(2n, ±S) , where S {1,2,3,…,n} into the family of grids M[n×2],n≥2. We also derived a Lemma to get the monophonic edge congestion MEC(G,H).
KNN classifier based approach for multi-class sentiment analysis of twitter data
Authors: Hota Soudamini , Pathak Sudhir
Published: July 2018

‘Sentiment’ literally means ‘Emotions’. Sentiment analysis, synonymous to opinion mining, is a type of data mining that refers to the analy-sis of data obtained from microblogging sites, social media updates, online news reports, user reviews etc., in order to study the sentiments of the people towards an event, organization, product, brand, person etc. In this work, sentiment classification is done into multiple classes. The proposed methodology based on KNN classification algorithm shows an improvement over one of the existing methodologies which is based on SVM classification algorithm. The data used for analysis has been taken from Twitter, this being the most popular microblogging site. The source data has been extracted from Twitter using Python’s Tweepy. N-Gram modeling technique has been used for feature extraction and the supervised machine learning algorithm k-nearest neighbor has been used for sentiment classification. The performance of proposed and existing techniques is compared in terms of accuracy, precision and recall. It is analyzed and concluded that the proposed technique performs better in terms of all the standard evaluation parameters.
Measurement and structural model of agile software development critical success factors
Authors: Kukreja Vinay , Ahuja Sachin , Singh Amitoj
Published: July 2018

Purpose: Agile methodologies have emerged as an innovative and successful business changing way for software development companies since the success rate for completing the software projects on time and budget is better than conventional methodologies. This study proposes a theoretical framework of success factors for agile software development and validates the proposed framework using structural equation modeling.Design Methodology: A survey based random sampling was performed for data collection from 201 respondents identified from the pool of agile practitioners in software companies. Structural Equation Modeling performed on the collected data to validate measurement model as well as the structural model.Findings: The theoretical model was confirmed with modifications and the results showed that required level of fitness indexes have been achieved for the measurement model and structural model. The validation of the factors has also been done.Originality/Value: This study will guide the agile practitioners, academicians and project managers to focus more on the particular success factors which have high weight towards project success.
Performance comparison of segmentation algorithms for hand gesture recognition
Authors: Parvathy D Priyanka , Kamalraj Subramaniam Dr
Published: July 2018

The gestures presented in diverse backgrounds have to be accurately processed and segmented, for it to be classified precisely by the hand gesture recognition system. This study compares performance of the proposed Image Segmentation Algorithm with a standard Canny Edge Detection Algorithm by comparing the statistical values of the features obtained from the feature extraction stage, thus validating the importance of having a robust preprocessing stage for the hand gestures. The proposed algorithm uses Non-local Mean filter for noise removal and then an improved Global Swarm Optimization based Canny edge detection for extracting the edges. Features are extracted using two dimensional Multi-resolution Discrete Wavelet Transform (2D-DWT) combined with Gray-level Co-occurrence Matrix. The efficiency of the proposed Image Segmentation Algorithm is evaluated using Radial Basis Function Neural Network as the classifier.
Network Coding aware Routing for Efficient Communication in Mobile Ad-hoc Networks
Authors: Prashanthi V , Suresh Babu D , V. Guru Rao C
Published: July 2018

Existing approach of routing protocols had only partial support towards energy efficiency. However, none of them had focused on considering network coding aware routing to reduce energy consumption. Majority of the existing solutions in literature to improve the communication performance of MANET has focused on minimum cost routing protocols. There are very less significant studies towards network coding in performing routing in MANET system. Therefore, it is totally unknown how network coding could be used to solve such issues. Throughput in wireless networks can be enhanced with the help of network coding. This approach also increases network lifetime in the cases of devices running on battery, such as wireless sensor nodes. Additionally, network coding achieves a reduction in the number of transmissions needed for transmission of a specific message through the network by making energy usage more efficient. Despite its benefits, however, network coding can have a negative impact on network lifetime if it is implemented excessively. Initially, to achieve the goal of improving throughput, reducing energy efficiency by reducing the number of broadcasting transmissions, a network coding model is created in this study and the MANET broadcast based on network coding is improved by the heuristic principle of Ant Colony Optimization. This study proposes the application of a network coding based dominating set approach to traditional routing protocols like adhoc on demand distance vector (AODV) as a solution to this issue. Coding gain of different topologies with different offer loads is evaluated using network coding. We discussed the performance of Alice-bob, cross, X, and wheel topologies using network coding. The study has paid particular attention to the trade-off between selection of paths compatible with network coding and network lifetime. The present study addresses this compromise that demonstrates that networks with energy restrictions are incompatible with the current network coding strategies based on throughput. One routing issue is attributed particular importance, namely, reduction of overall energy usage and improvement of individual node lifetime through effective routing of a series of traffic demands over the network. A range of analytical formulations is put forth to generate an optimal solution for the issue of multi-path routing. Results show that, by comparison to solutions without network coding, the suggested solutions improve energy efficiency while at the same time satisfying the specified lifetime restrictions.
Investigation of physical and mechanical properties of peat
Authors: V. Kulikov Aleksandr , V. Vorontsov Vyacheslav , N. Shuvaev Anatolii
Published: July 2018

The article describes results of laboratory tests of weak water-saturated soils (remote from day surface) in stress-strain state under influence of compression with double-sided filtration of pore’s water. The experimental device with console-lever system of load transfer and potential of double-sided filtration was made for current research. The compression specification was controlled with the strain gauge sensor element of general pressure (i.e. the load cell).The deformation in sample were measured with the motion detecting transducer that based on indicating gage. The excessive pore pressure was measured with strain gauge sensor elements and digital manometer. Also the plots of compression deformation against pressure and changes of excessive pore pressure during the time on different load degrees were drawn. Although, authors made the new experimental device for research of the water saturated peat mechanics properties with excessive pore pressure.
Virtual Immediate Coding
Authors: V. Kotenko V , I. Polyakov A
Published: July 2018

A distinctive feature of virtualization of noise-immune encoding is the realized possibility of complex solution of problems of noise immunity, protection against information intrusions and imitating resistance. This, with relatively low economic costs, will significantly expand the capabilities of telecommunications systems in terms of information security. The effectiveness of the complex solution of information protection tasks from the positions of virtualization of the noise-immune encoding processes is experimentally proved in the work. The effectiveness of protection from information intrusions provided by virtual noise-immune codes and the effect of virtualization on the efficiency of the original noise-immune code were experimentally investigated. The obtained results show that virtual noise-resistant coding provides the effectiveness of protection from information intrusions, comparable with the efficiency of modern standards of cryptographic protection, with significantly lower complexity of practical implementation. In general, the results of experimental studies show that the virtualization of the process of noise-immune encoding from the perspective of the approach proposed in [1] opens an additional possibility of protecting information in the part of ensuring information security.
The Single-Photon Model of Search of Pulse Signals for Telecommunication Systems
Authors: Y. Rumyantsev K , A. Albogachieva L , D. Linenko P
Published: July 2018

Detection of the optical pulse reception moment is a necessary condition for communication between moving correspondents. The search algorithm of pulse signals in a photons registration mode (single-photon pulses) is known. It is considered that in a reception complex the optical signals period is known. The photoreception channel consists of an single-photon dissector, the electron amplifier, and the amplitude discriminator. In the time frame which is equal to the optic pulse-repetition period, the moment of amplitude discrimination level equality fixed. The analysis of the threshold reason excess is made in a following frame. At repeated excess of a threshold it is considered, that useful radiation is revealed. Otherwise the decision on absence of a source radiation is passed. The system passes to the review of a new spatial element of decomposing in supervised spaces. At the second excess of a threshold it is considered, that useful radiation is revealed. Otherwise the system passes to the review of a new spatial element of decomposing in controllable space. The model is developed for check of algorithm efficiency, measurement of statistical characteristics of search system of radiation sources with detection of the reception moment of optical pulse. In system the single-photon dissector with the limited pass-band is used. By means of the developed simulation model working capacity is proved and algorithm efficiency is checked up, statistical characteristics of search system of radiation sources with detection of the occurrence moment of a signal are measured at use of an single-photon dissector with the limited pass-band.
Two-Wheel Traction Control for Electric Vehicles
Authors: Sahbani Abdelaziz , . .
Published: July 2018

This paper deals with a detailed dynamic design of traction control strategies based on fuzzy logic controller. The proposed system is motorized by two independent DC motors associated with two static DC converters and an electrical differential. An approach to both longitudinal and lateral controls of two wheels is described. In fact, by using electric motors, it is possible to have a torque control in each wheel drive, enabling the implementation of a traction control. Consequently, the stability and the safety of the vehicle will be improved. Obtained simulation results confirm the efficiency of the proposed controller.
Online Learning Styles Identification Model, Based on the Analysis of User Interactions Within an E-Learning Platforms, Using Neural Networks and Fuzzy Logic
Authors: Alfaro L , Rivera C , Luna-Urquizo J , Castañeda E , Fialho F
Published: July 2018

Individual Learning Style identification is an essential aspect in the development of intelligent or adaptive e-Learning platforms. Traditional methods are based on the application of questionnaires or psychological tests, which may not be the most appropriate in all cases. The proposed model is based on the analysis of user behavior through the study of their interactions within an e-Learning platform, using a multilayer Backpropagation Neural Network and Fuzzy Logic concepts, for the preprocessing of the inputs and the categorization of the outputs.
Privacy Preserving Decomposable Mining Association Rules on Distributed Data
Authors: M. Khedr Ahmed , AL Aghbari Zaher , Kamel Ibrahim
Published: July 2018

In distributed computing, data sharing is inevitable, however, moving local databases from one site to another should be avoided because of the computational overhead and privacy consideration. Most of the data mining algorithms are designed assuming that data repository is stored locally. This paper presents a scheme and algorithms for mining association rules in geographically distributed data. The proposed scheme preserves data privacy of the different geographical site by passing secure messages between them. The algorithms minimize the communication cost by exchanging statistical summaries of the local databases. We provide a privacy and security analysis that shows the privacy preserving aspects of the proposed algorithms. Moreover, the paper presents extensive simulation experiments to evaluate the efficiency of the proposed scheme.
Control and communication of renewable energy based smart grid: an overview
Authors: Surender Reddy S
Published: July 2018

Smart Grid (SG) involves complex controls and communications. These controls include both the local as well as global controls. SG in-volves a two-way communication system at each stage and that is one of the advantages over the conventional utility grid. However, due to this two-way communications, the issues such as complexity, data gathering and management, etc, are introduced into the SG system. Therefore, this new grid requires a more complex and control operation. The objective of this paper is to evaluate various control systems, communication technologies, and real time measurement tools that are involved in the SG. This paper also performs the cost benefit analysis (CBA) of the control and communication schemes involved in the SG. The paper evaluates the latest tools for control and communications that are available, and it also evaluates the issues and challenges relative to it.
Simulation, design of unequal five way wilkinson power divider for EW applications
Authors: Siva Charan M , Vummadisetty. Naidu Praveen , Rajasekhar A , Bansod Gaurav , Raveendra P , Kumar Arvind
Published: July 2018

This paper deals with the design and simulation of unequal 5-way Wilkinson power divider used for Electronic Warfare (EW) applications. The frequency range of operation intended for this design is 6 GHz to 18 GHz. The proposed Wilkinson power divider is designed on a low cost FR-4 substrate having height of 1.5mm, relative permittivity of 4.4 and loss tangent of 0.02. The design occupies a size of 11mm x 33 mm x 1. 5 mm. Equal split Wilkinson power dividers are utilized for implementation of this design. High isolation has been obtained throughout the frequency range of 6 GHz to 18 GHz. The design procedure is discussed. The simulated results are presented by using ADS simulation software.
GPU Accelerated real-time Melanoma Detection
Authors: Sunny Joseph Ajai , Isaac Elizabeth
Published: July 2018

Melanoma is recognized as one of the most dangerous type of skin cancer. A novel method to detect melanoma in real time with the help of Graphical Processing Unit (GPU) is proposed. Existing systems can process medical images and perform a diagnosis based on Image Processing technique and Artiﬁcial Intelligence. They are also able to perform video processing with the help of large hardware resources at the backend. This incurs signiﬁcantly higher costs and space and are complex by both software and hardware. Graphical Processing Units have high processing capabilities compared to a Central Processing Unit of a system. Various approaches were used for implementing real time detection of Melanoma. The results and analysis based on various approaches and the best approach based on our study is discussed in this work. A performance analysis for the approaches on the basis of CPU and GPU environment is also discussed. The proposed system will perform real-time analysis of live medical video data and performs diagnosis. The system when implemented yielded an accuracy of 90.133% which is comparable to existing systems.
Semantic based neural model approach for text simplification
Authors: Somasekar Hemanth , Kavya Naveen Dr
Published: July 2018

The machine translation systems affect by various difficulties like long-distance dependency and long sentences having complex syntax. Text Summarization (TeSu) and Text Simplification (TeSi) are the important ways of simplifying the text for users who are having the poor reading capability, including non-native speakers, functionally illiterate and children. TeSu produce a brief summary of the main ideas of the text, while TeSi aims to reduce the linguistic complexity of the text and retain the original meaning. In many text generation tasks, sequence-to-sequence model depends upon approaches of TeSu and TeSi achieves more success, recently. Text data have low Semantic Relevance (SR), but the Simplified Text (SiTs) which generate from the Source Text (SoTs) are more similar. The goal of the paper is to work for TeSu and TeSi, for improving the SR between the original texts and the modified texts. The proposed method encouraging high semantic similarity between texts and summaries by implementing SR based Neural model (SRN). The encoder represents the SoT, whereas, the decoder produced the summary representation. During training, the representation provides maximum Similarity Score (SS) and the experi-ments conducted on the approach using two benchmark datasets. The experimental results showed that SNR approach provided better per-formance compared to the existing method in terms of metrics such as readability metrics, human-sentence level evaluation, and Post Editing (PE) evaluation.
Optimization of quality of service parameters for efficient channel allocation
Authors: Saxena Aditya , Singhai Jyoti , Raghuvanshi Deepak
Published: July 2018

The bandwidth-intensive network applications with aggressive quality of service (QoS) requirements requires fast and efficient networks. The wireless network performance is impacted due to multitude of data transport at uneven transmission rates on various channels and line losses leading to congestion. It is a big challenge to achieve the required QoS by managing delay, jitter, bandwidth and packet loss parame-ters on a network. This paper highlights the major causes affecting QoS and proposes an optimization technique which allocates the channel dynamically by integrating all the parameters affecting QoS across network layer, medium access control (MAC) layer and physical layer. The proposed algorithm utilizes the feedback parameters namely queueing delay, packet priority and timeout, MAC layer contention delay and packet loss ratio as inputs and a closed loop processing control for the scheduler based on fuzzy logic control (FLC). Hence, the algo-rithm is more realistic and considers the line conditions. The simulation results show that the proposed algorithm is faster and utilizes the overall network more efficiently.
The Framework for Web-Based Automated Online Question Paper Generator through JEE
Authors: Hegde Vinayak , V Rao Lavanya , B S Shivali
Published: July 2018

Examinations are an indispensable part of a student’s life. In the conventional mechanism, the question paper generation is time-consuming work for the faculty members of the educational institution. Every educational institute mandatorily expects exam setters to follow its own typesetting format. We have designed the automated question paper setting software to be user-friendly so that, paper setters can overcome from the typographic problem. Presently in most of the educational institutions question papers are set manually. It is time-consuming work and there may be chances of repetition of the same questions. So, in order to make the question paper generation more convenient to use, the web application is developed using Java Enterprise Edition (JEE) that can be accessed from LAN/Intranet.The application comes with the Admin Module and Teachers Module. The Admin grants access to the users by registering them. The faculty can access the system once they are registered. The faculty can enter questions in the database daily as per their free time. In this way, the question pool can be generated. The questions are approved by the chairperson and substandard questions are discarded. The question paper is then generated by selected course experts. The Fisher-Yates Shuffling algorithm used to choose questions randomly from the pool of questions from the database. Text Mining Algorithm aids in duplicity removal from the paper.  The generated question paper will be in Word Format. In our application, we assure better security, removal of duplicity, cost-effectiveness, and human intervention avoidance. It can be used by small-scale and large-scale institutions.
PV fed Water Pumping System in a Smart Home
Authors: S. Krithiga , Sarathi Subudhi Partha
Published: July 2018

This paper proposes renewable energy based water pumping system in a smart home using a bidirectional DC-DC converter. A backup battery is connected in the system for uninterrupted power supply to the water pump. Depending upon source availability, DC-DC       converter acts either in boost mode or in buck mode to supply uninterrupted power to the water pump. Using MATLAB/Simulink      software, the proposed system is simulated and its performance is analyzed for various operating conditions and the results are furnished in this paper. A small scale laboratory prototype is fabricated and tested for the designed system. Experimental results acquired from the prototype testing correlates with the simulation results validating the feasibility of the proposed water pumping system.
Study on strength and durability characteristics of polypropylene fiber reinforced blended concrete tiles
Authors: K. Amudhavalli N , Harihanandh M
Published: July 2018

Concrete is brittle and widely used as an artificial construction material with incorporation of cement, water and aggregate in necessary proportions. To overcome the brittle behavior of composites, fibers and admixture are added to the concrete. In this present investigation Polypropylene Fiber is added in varying percentage (0.2%, 0.4%, 0, 6%, 0.8% and 1%) to the weight of cement and constant percentage of Rice Husk Ash (15%) is replaced with cement. The polypropylene fiber reinforced blended concrete tiles of size 300mm x 300mm x 30mm are cast as per the code and tested at 28 days curing period. Flexural strength, Abrasion test, Dimensional quality and water absorption are studied. Among different proportion of Polypropylene Fiber Reinforced Blended Concrete, the best performance is achieved by the combination of 15% of Rice Husk Ash with 0.6% of Polypropylene Fiber.
Performance analysis model for service supply chains : case of the retirement supply chain
Authors: Mezouar Houda , El Afia Abdellatif
Published: July 2018

A service supply chain (SSC) is a supply network that transfers resources into services with or without physical products, to satisfy cus-tomer needs. So it’s evident that without offering the right service at the right time to the right person, the service is incomplete, inconsistent and ineffective. In the same context, the retirement field faces the challenge of offering the correct pension to the right pensioner the first month of his retirement. This paper approaches this challenge from a SSC perspective as a case study for dealing with continuity in service supply chain. It uses a methodology that combine Analysis-Specification-Design-Implementation (ASDI), Office Support Systems Analy-sis and Design (OSSAD), Business Process Management (BPM), and Supply Chain Operations Reference (SCOR). It analyzes and mod-els the Moroccan retirement SSC, simulates the behavior of "the management of civil pension rights" process, and proposes a set of Key Performance Indicators (KPI) to evaluate the continuity in the service supply chain. Hence, this work provides guidance on the performance analysis of a SSC.
Noisy texture analysis based on higher order spectra
Authors: LAGDALI Salwa , RZIZA Mohammed
Published: July 2018

Texture is described in several approaches by 1st and 2nd order statistics which cannot preserve phase information carried by the Fourier spectrum. Besides, these statistics are very sensitive to noise. In this paper, we study features derived from higher order spectra, especially the third order spectrum, namely the bispectrum, known to offer a high noise immunity and to recover Fourier phase information. In this paper, we exploit phase preservation property by using bispectrum phase. We propose wrapped Cauchy distribution to model phase. Wrapped Cauchy parameters are estimated by maximizing the log-likelihood function. Experiments show that the wrapped Cauchy distribution fits our phase information well. Hence, their parameters are used to feed our feature vector in order to classify textures corrupted by Gaussian noise. Classification results using the proposed approach show a good noise immunity compared to a statistical model based on Gabor phase.
Automatic detection and classification of cardiac arrhythmia using neural network
Authors: N. S. V Rama Raju N , Malleswara Rao V , Srinivasa Rao I
Published: July 2018

This paper proposes a Neural Network classifier model for the automatic identification of the ventricular and supraventricular arrhythmias cardiac arrhythmias. The wavelet transform (DWT) and dual tree complex wavelet transform (DTCWT) is applied for QRS complex detec-tion. After segmentation both feature of DWT and DTCWT is combined for feature extraction, statistical feature has been calculated to re-duce the overhead of classifier. An adaptive filtering with the soft computed wavelet thersholding to the signals before the extraction is done in pre-processing. Different ECG database is considered to evaluate the propose work with MIT-BIH database Normal Sinus Rhythm Da-tabase (NSRD) , and MIT-BIH Supraventricular Arrhythmia Database (svdb) .The evaluated outcomes of ECG classification claims 98 -99 % of accuracy under different training and testing situation.
Developing a graphical package for sensor arrays design, optimization and maintenance
Authors: N. Jabbar Ahmed , A. Murdas Ibrahim
Published: July 2018

The sensor arrays are now an essential part of any communication, medical and remote sensing system. These arrays should be designed with utmost performance to ensure the maximum link efficiency. The available commercial sensor arrays design packages are expensive, complicated and cannot be easily modified to accommodate the users’ needs. This work suggests a solution that is to design an open source specialized application to serve the ever-changing needs of the users. This package is called Sensor Array Design and Optimization (SADO) and it is developed to allow the unexperienced users and the researchers to design, test and optimize their sensor arrays using effi-cient optimization algorithms. The optimization is trying to reduce the sidelobe levels to reduce the interference. The application is simple and friendly to use, with professional graphical results. The predesigned arrays configurations supplied with this package are uniform and random arrays. The built in optimization algorithms are: Artificial Bee Colony (ABC), Biogeography-Based Optimization (BBO) and Teaching Learning Based Optimization (TLBO). The results for various designs and optimization results are also given and compared to indicate the best settings for the user. Some optimization ratios might reach about 50% that represent -3dB reduction in sidelobe level.
Design and Analysis of Modified Diode Rectifier Circuit Suitable for Piezoelectric Energy Harvester for Biomedical Applications
Authors: S. Dhayabarasivam S , Jayanthi K , Pragatheeswaran Gouthame
Published: July 2018

Nowadays renewable energy sources play a significant role in the energy harvesting. For the past decade various energy harvesting methods have been discussed by researchers for capturing the energy from different sources. From the survey, one of the most prominent methods is the use of piezoelectric transducers for harvesting the energy. It is known that piezoelectric energy harvesting is the easiest method of energy harvesting from the various sources available such as human walking, dancing etc. Therefore this method can be implemented in system for wide variety of applications. The piezoelectric transducer AC output is of very low voltage and power and hence insufficient to drive any electrical application. Most of the small scale electrical application generally runs on the DC voltage, therefore the AC voltage obtained from the piezo transducer vibration is rectified using rectifiers to generate DC voltage. Thus in this paper, a modified rectifier AC/DC converter with the combination of an inductor is placed in the rectifier, which enhances the voltage and power from the rectifier output. In order to enhance the voltage rating, a DC/DC converter has been added at the end of a rectifier circuit. From the simulation results the proposed circuit modified rectifier has improved the output voltage as well as output current by 10.19 volts and 0.1019 amps respectively for input voltage of 5V. When compared with conventional rectifier circuit.
Performance Analysis of ECDSA Based SE-AODV Routing Protocol In VANETS
Authors: . Deepak , . Rajkumar
Published: July 2018

Vehicular ad hoc networks is an emerging area for researchers to provide intelligent transportation system to the society. It is due to the wide area of applications of VANETs interest is developed among the people from different countries to be a part of it. Therefore many projects had been started and also presently working to implement VANETs in real world scenario. The main challenge in its implementation is to provide a secure mechanism against the various attacks and threats that have the capability to bring the network performance significantly down. In this paper to overcome different types of authentication based attacks in VANETs an ECDSA based secure routing protocol SE-AODV is proposed with security features incorporated in already existing AODV routing protocol. The performance of SE-AODV is evaluated and compared with original AODV and AODV with black hole attack (BH-AODV). The SE-AODV shows better performance with the parameters used for comparison with the variation in vehicle density, speed of vehicles and simulation time.
Energy Consumption Behaviors of 802.11 and S-MAC: Implementation on NS2.35
Authors: Malik Meena , Sharma Mukesh
Published: July 2018

The Sensor technology has made encouraging trends in the field of wireless Networks by its innovative methods and adaptability. The  fundamental issue for wireless sensor networks (WSN) is to minimize energy consumption at each node due to restricted energy source.   The sensor nodes generally get random deployment and  need cooperation to accomplish specific operation in the network like  monitoring or  tracking any target in the environment. Due to limited power source nodes need careful use of energy resources. This work targets on simulating the power consumption behavior and analyzing the performance of 802.11 and S-MAC protocol for medium access control layer in wireless networks. S-MAC improves energy consumption by allocating bandwidth in efficient manner and  avoiding causes of energy waste. After simulation, it was found that S-MAC is Power-Efficient over 802.11 without losing on the performance using NS-2.35. The paper mainly emphasize on representing the plot for energy matrices along with throughput, delay and packet delivery ratio.