bluuebunny/crossref_metadata_2025 huggingface dataset:
Extensive analysis of slip power recovery scheme
Authors: Atkar Ratansingh , Chandramouli B.
Published: March 2018

Enlistment engines square measure the foremost typically used engines in mechanical movement management frameworks. The slip management healing conspire (SPRS) offers speed management of connective hitch engine (SRIM) below synchronous speed. The slip management healing drives is employed as a neighborhood of huge limit pumps and fan drives, shipboards VSCF (variable-speed/consistent recurrence) frameworks, variable-speed hydro pumps/generators thus forth. throughout this paper Associate in Nursing thorough investigation of slip management healing conspire is displayed. reproduction of the originated is finished utilizing MATLAB/SIMULINK condition and trial established is prepared up at intervals the centre for a 2 H.P. engine. The trial and reproduction comes concerning square measure investigated.
Compression of image using hybrid combination of haar wavelet transform and color space model in noisy environment
Authors: C S Sridhar , G Mahadevan , Khadar Basha S.K. , ChenchuKrishnaiah G.
Published: March 2018

This article manages the examination of image compression utilizing crossover blend of both wavelet change and color space.. The paper covers foundation which incorporates decay of image, thresholding in wavelet for image compression. The compressed image of Haar wavelet is then gone through color space transformation which is utilized to change the color image into grey scale image. On transformation to grey scale image, the number of bits and transfer speed gets diminished. It is conceivable to process the images of various organizations inside the security issues that have been additionally discussed and actualized. The outcomes are shown as depictions in the results.
Secure data in cloud with multimodal key generation
Authors: Selvarani P , Malarvizhi N
Published: March 2018

Data Security is the Major problem in Cloud Computing. In order to overcome the data security problem the proposed technique utilizes effective data storage using biometric-based cryptographic authentication to support the user authentication for the cloud environment. For user authentication here we are considering iris and fingerprint. Initially the feature values are extracted from the iris and fingerprint using local binary pattern and Minutiae extraction respectively. Local binary pattern operator works with the eight neighbors of a pixel, using the value of this center pixel as a threshold. Minutiae points are the major features of a fingerprint image and are used in the matching of fingerprints. These minutiae points are used to determine the uniqueness of a fingerprint image. Based on that the proposed feature values are extracted from the iris and fingerprint image. In order to improve the security, the suggested technique utilizes the optimal features. For selecting the optimal features hybrid particle swarm optimization and genetic algorithm (HPSOGA) is utilized. Particle swarm optimization (PSO) is a population based stochastic optimization technique. The system is initialized with a population of random solutions and searches for optima by updating generations. In PSO, the potential solutions, called particles, fly through the problem space by following the current optimum particles. Genetic Algorithms (GAs) are adaptive heuristic search algorithm based on the evolutionary ideas of natural selection and genetics. In our proposed method these two optimization algorithm is hybrid for more secure. From the optimization algorithm the suggested technique selects the optimal features. and then the optimal features are used to encrypt the input data. For encryption and decryption, the proposed technique utilizes Triple DES algorithm. Finally the encrypted data is stored in cloud. The performance of the proposed technique is evaluated in terms of encryption and decryption time, memory utilization and overall execution time. Our proposed data storage using biometric-based authentication is implemented with the help of Cloud simulator in the working platform of java.
Online e-tollgate fee collection using QRcode
Authors: Venkateswararao Kuna , Gurusarathy L , Sankar Reddy Akepati
Published: March 2018

Now a day’s People need to wait near the tollgate in queue for long time to pay the toll fee. The application on java is being introduced. Before we are reaching the tollgate it should display a message to the user that he is approaching the tollgate. The display of message based on GPS location. This Application helps to pay amount before the tollgate reached. Automatically it will generate an Electronic receipt with Barcode and QRcode in secure techniques .which can be shown at the tollbooth. This reduces the work of the people and the reduces the time. Payment is done through Mobile wallets or Credit cards. A list for all the tollgate and respective services to be made available in the application.
Supportive caching strategies for MANET: a review
Authors: Phani Kumar NN. , Amuthadevi C.
Published: March 2018

Caching in mobile computing surroundings is a capable approach which could improve information get right of entry to performance and lessen the heavy verbal exchange between client and server. Caching permits sharing and coordination of reserved records between cell hosts. In this paper all the caching schemes for wired, ad hoc and internet mobile advert hoc community are mentioned and compared in terms of cache resolution and cache substitute coverage.
RFID enabled safer cards for new gerneration ATM machines
Authors: Uma S , Bhuvanya R , Vijayalakshmi K , Suresh A
Published: March 2018

The newer generation of ATM card is introduced for the current ATM machine. Instead of the ATM card, machine can be operated through the RFID tags. These RFID tags put an end to the usage of many number of ATM cards and provides a facility to integrate it into a single card named RFID Safer cards. When the safer card is inserted in the ATM machine the reader unit present in the machine, then the information about the card holder will be sent to the server. Information related to the user such as their account details, photo will be fetched from the server. Meanwhile the camera embedded in the machine will capture the image of the user and it will be compared with the image stored in the server. Hence the enhancement of security will be benefited when compared to the current ATM machine since it offers both the password and biometric capacity. If the particular image matches with the database it requests for the pin number and the transaction processing will be initiated. Otherwise the transaction will be aborted. When the user’s image matches with the database the system generated OTP will be sent to the user’s mobile. Then the user has to enter the obtained OTP to continue the banking process. Thus by using this system ATM card usage will be completely eliminated and it can be done by the RFID safer card. System malfunction can also be avoided which will make our transaction more secure.
Smart health monitoring system based on internet of things with big data analytics and wireless networks
Authors: Florence S , Shyamala Kumari C , LeemaPriyadharshini L
Published: March 2018

The use of mobile application technologies and smart devices in the health sector has improved a lot. In this sense health monitoring has evolved using Internet of Things. Nowadays the food habits are changed because of our machine life. This paper mainly focuses on the problems occurring related to health because of food habits. This paper gives the idea for solving this problem by collecting the attributes from the human body. The attributes like cholesterol, calories, glucose, pulse, weight, Body Mass Index, water level, temperature are to be collected from the person by fixing the wearable sensor devices in the human body. After getting these attributes the analysis should be done with the existing database for giving the food recommendations. The food intake level is analyzed for providing health factors. The aim of the paper is to provide the architecture for healthy food recommendations to the persons using sensor data to the person’s mobile application.
Mobile based secured student online exam system
Authors: Lalitha V. , Periasamy J. K.
Published: March 2018

Mobile learning is a technology which uses wireless networks and mobile for learning. It facilitates learners to unite their experiences in learning in a collaborative and shared environment. Due to the widespread adoption and use of handheld devices, the mobile application technologies in enhancing learning activities have attracted noteworthy research interest. A Secure Exam Management System (SEMS) is designed for mobile environment and to simplify the exam management system. The teachers will define a bank of exam questions and link them to his/her subject through an appropriate interface (Subject‘s Question Bank Interface). The students can enter the exam system at the pre-defined date and time through the Exam Enrollment Interface. The students scan the QR code in the electronic device (Mobile/tablet) and then view an exam question in the same interface. Asthe school Wi-Fi network is connected to the students mobile or tablet, turning the network down during exams canavoid malpractice. Multifactor authentication can be adopted for stronger security.
Study of high yielding crops cultivation in India using data mining techniques
Authors: Carmel Mary Belinda M J , R Umamaheswari , S Alex David
Published: March 2018

Data mining in agriculture is a modern and emerging research technique. Data mining provide many techniques like k means algorithm, support vector machine, association rule mining and Bayesian belief network [1]. This technique can be used in agriculture for various purposes. This paper describes about how association rules mining and apriori algorithm can be used in agriculture field. This paper also describes about soil, its types and crops grown in each type of soil. The technique that has been used here can be a rough set study, but like this many efficient techniques can be applied to solve many problems in agriculture.
An automated exudates detection in diabetic retinopathy fundus images using multi kernel spatial fuzzy c means clustering method
Authors: Ravindraiah R , Chandra Mohan Reddy S
Published: March 2018

Microvasculature change associated with tenacious Hyperglycemia are the hostile effects accompanying to diabetes mellitus. Diabetic Retinopathy (DR) is a progressive complication, which leads to retinal permeability, ischemia, neovascularization and macular edema. The pathology is characterized by variation in capillary diameter, size of microaneurysm, hemorrhage exudates. Thus it stimulates the growth of new abnormal blood vessels so as to nourish the eye muscles. But these newly grown blood vessels are subtle, and may get burst. Therefore it leads to leakage of blood, protein based particles named as exudates. Early determination of the DR signs will help the diabetic patient to eradicate austere vision damage. Medical image processing methods helps the ophthalmologists in easy diagnosis, and to estimate the severity of the pathology. Fuzzy based clustering methods are simple and effective methods that will classify the pathos. This work furnish an improved fuzzy clustering method with induced multi kernel and spatial constraint. Statistical evaluation is done to evaluate the performance of the proposed method.
Comparative analysis of various multilevel inverter symmetrical topologies with minimum number of components
Authors: Qasim Hussein Algburi Ali , V. Ramana Rao P
Published: March 2018

Multilevel inverters (MLI) are frequently used in different fields like, oil and gas sectors, installations of power supply, high power and medium voltage applications and in FACTS (flexible AC transmission system) devices to improve power quality. Lot of topologies has been developed in the literature regarding multilevel inverters such as diode clamped type, flying capacitor type and cascaded H-bridge type multilevel inverters. However, several challenges are being faced while implementing these topologies like more number of switches, more losses and cost. The optimized construction of multilevel inverter is to get more number of levels with less number of switches and low total harmonic distortion. In this paper, three different existing multilevel inverter topologies have been considered and analyzed for five level output voltage. A comparison table is given for number of switches, extra diodes and voltage sources. The total work is carried by using Matlab/simulink software and results are presented.
Modeling and analysis of a hybrid boost DC-DC converter for distributed generation
Authors: V.Sudarsan M , Saibabu Ch , Satyanarayana S
Published: March 2018

As the power generating stations are located very far from the load centers, there is a necessity to transmit the power through the long transmission lines. The transmission efficiency and voltage profile are poor, due to the large amount of line losses and voltage drop. Thus to improve its performance, the generation of the power has to be done at the vicinity of load centers and is possible through the distributed generation (DG). The DG system consists of a boost converter which increases the dc input voltage obtained from an array of PV cells arranged on the solar panels.In this paper, the hybrid boost converter which is a high gain step-up dc-dc converter is modeled and analyzed for DG applications. The gain of this hybrid converter is D (duty ratio) times more than the normal boost converter and posses the advantages like less ripple current and high efficiency. Also the dynamic performance of the converters is compared in both open and closed loops from the simulation work carried out in MATLAB / Simulink environment.
Enhancing security for end users in cloud computing environment using hybrid encryption technique
Authors: R.K Nadesh , R Srinivasa Perumal , P.G Shynu , Sharma Gaurav
Published: March 2018

In the era of cloud, anything and everything as a service facilitates number of remote user connected from anywhere, anytime and any form of access to the storage services. Today, Cloud storage has become an essential aspect of cloud computing, stores information and support any kind of applications. Applications like Internet of Things, Big Data analytics, Data warehousing, Databases, Backups and archive applications all rely on some form or the other on cloud storage architecture. Users may have a different variants of smart devices such as tablet, PCs, notebook and smart phones. Cloud storage provides an interlink between these smart devices. Enterprises prefer to use cloud storage because they provide cost-friendly and flexible alternatives on locally implemented hardware. However, business process in the cloud needs secured transaction, confidential files are sometimes exposed to risk of leakage, as cloud- stored data resides outside of the local infrastructure, thus vulnerable to security risks. Cloud storage providers provides enough security at their end, but there is no system that provides client level security while using public clouds. The proposed system will provide client level security using hybrid encryption techniques. Using AES (Advance Encryption Standard) in CBC Mode (Cipher Block Chaining) and HMAC-SHA-1 (Hash-based Message Authentication Code) with light weight methods enhances the strong encryption at client level security. Fusion of these algorithms adds extra layers of security to the cloud storage data. The proposed method enhances the security measures for any client users, using storage as a service offered by several cloud service providers.
A novel vertical handover algorithm based on Adap-tive Neuro-Fuzzy Inference System (ANFIS)
Authors: Zakaria Eman , A.Awamry Amr , Taman Abdelkerim , Zekry Abdelhalim
Published: March 2018

Nowadays, there is an increased demand on an Internet connection anywhere at any time. Therefore, one has to exploit all available heterogeneous wireless networks where the target is achieving the Always Best Connected (ABC) among the different networks like UMTS, WiMAX, and WLAN. So, vertical handover techniques are used to ensure the best connectivity anywhere at any time. In this paper, novel ANFIS-based vertical handover is presented and compared with TOPSIS algorithm and other algorithms as a representative of Multi-criteria decision making (MCDM) algorithm's family. The simulation results show that the proposed handover technique provided better performance in terms of minimizing the time delay and improving the quality of service (QOS). This is because ANFIS requires iterations only in training phase otherwise, it has a much faster response. Our simulations considered the effect of many practical parameters on handover, such as subscriber speed, jitter, initial delay, bandwidth and received signal strength (RSS).According to these parameters, output values produced, which is utilized to choose the best candidate access network.
Development of integrated intelligent CAD system for synthesis and stress-deformation analysis of pressure vessels
Authors: Šarić Isad , Muminović Adis
Published: March 2018

This paper presents the process of developing an integrated intelligent CAD system (IICAD) for synthesis and stress-deformation analysis of pressure vessels. The name of the system is IICAD PP system. The goal of the paper is to present procedures and steps to develop IICAD system for specific type of products. These procedures and steps can be used to develop IICAD system for any type of specific products or family of products. IICAD PP system can help engineers during calculation and design of pressure vessels. The paper shows that IICAD PP system enables quick calculations of design parameters, automatic generations of 3D geometrical model and automatic conduction of numerical analysis for stress and deformation. All these design activities take a lot of time from engineers if they are done using conventional methods.
Facets extraction-based approach for query recommendation using data mining approach
Authors: Zadgaonkar A. V. , Agrawal A. J. , Aote S.
Published: March 2018

Search engines are popularly utilized for extracting desired information from World Wide Web by users.  Efficiency of these search engines are dependent on how fast search results can be retrieved and whether these results reflects the desired info or not. For a particular query, vast amount of relevant information is scattered across the multiple web pages. Search engines generate multiple web links as a output. It has been a jigsaw puzzle for users to identify and select relevant links to extract further desired information. To address this issue, we are proposing an approach for Query Recommendation for getting relevant search results from web using facet mining techniques. Facets are the semantically related words for a query which defines its multiple aspects. We are extracting these aspects of a query from Wikipedia pages which is considered to be a trustworthy resource on the web. Our proposed system uses various text processing techniques to refine the results using lexical resource like WorldNet. In this paper we are discussing our approach and its implementation and results obtained. In the paper , Discussion on future research direction is included to conclude.
Comparative study of energy efficient MAC protocol with channel aware packet Scheduling in MANET
Authors: Dheepak T , Neduncheliyan S
Published: March 2018

Mobile Ad Hoc Network is the centralized communication system which is used for transferring information through a secured mode from one end to another end. However, there is an energy loss that has been noticed in MANET. In this work, an efficient energy based Link Failure State Neighbor Detection Effective Efficient Protocol (LFSNDEEP) is to enhance the energy efficiency of the mobile node, and optimal transmission ratio computes Data, Audio, and Video packets. The proposed research on LFSNDEEP protocol is compared to Effective Efficient Neighbor Detection Protocol (EENDP) and which assigns the channel utilization. In this technique, the hello packet exchanges transmit based height and wavelength of the transmitter with particular distance. The computation of channel utility factor is the best method at link failure without data loss. The vitality utilization mathematical model is illustrated to show the nodes of least consumption by the broad recreation of utilization. The results observed from the proposed scheme shows that the energy level is minimized regarding the packet that loss is improved efficiently. In further, there are two results which can be gained in comparing with EENDP; firstly, packet delivery ratio and throughput get increased. And secondly, the end to end delay is decreased.
Efficient data cleaning algorithm using decision tree classification model approach and modified new unique user identification algorithm using hashing techniques with a new error factor
Authors: Sriram Ranjena , Sheeja S , Henry Alexander I
Published: March 2018

The study focuses on preprocessing techniques of web mining. Considering this scope, the study has proposed and implemented an efficient data cleaning and unique user identification algorithms. Previously proposed data cleaning algorithm is a generalized approach and lacked transparency. An appropriate model has to be used to implement the new data cleaning algorithm. Over analysis of various related studies and suggestions made by eminent experts, the study finalized decision tree classification model, and appropriate model to implement the new data cleaning algorithm. Simplicity, ease in framing rules and ability to fragment complex decisions to solve a problem motivated to choose decision tree classification model to implement new data cleaning algorithm. Apart from this the study has also modified the previously proposed hash function, used to locate existing web users in web log server. A new error factor is introduced to remove memory address discrepancy. The modified hashing function along with binary search techniques is used to design the new unique user identification algorithm. Various experiments analysis is done using web log servers of eminent universities and colleges from United Arab Emirates and India. Results obtained prove the improved and better performances of the new rule based data cleaning and modified unique user identification algorithms.
Efficient uniform digital filter bank with linear phase and FRM technique for hearing aids
Authors: Parameshappa G , Jayadevapp D
Published: March 2018

This paper attempts to present an uniform digital filter bank based on linear phase FIR and IIR filters applied for Frequency Response Masking (FRM) technique in hearing aid applications.In the proposed filter bank, nine uniformly spaced sub-bands are formed with the help of half band filters and masking filters. These nine channel FIR filter bank is realized using an interpolated half band linear phase FIR filter and an appropriate number of masking FIR filters. The nine channel IIR filter bank is realized using an interpolated half band approximately linear phase IIR filter and an appropriate number of masking filters. The proposed approximately linear phase IIR half band filter bank is compared with filter bank based on linear phase FIR half band filters in terms of area, power, memory and number of gates needed for implementation. The experiment was carried on various hearing loss cases and the results obtained from these tests proves that, the proposed filter bank achieved the required matching between audiograms and magnitude response of the filter bank at very reasonable range with less computational complexity.
Performance analysis of a novel method for fast handovers in TDD and FDD for long term evolution
Authors: K.Venkatesh G , V.Rao P
Published: March 2018

The LTE Long Term Evolution highly developed Technology, Handover is the essential function of the mobility of user in cellular networks in Time Division Duplex as well as Frequency Division Duplex. Handover is one of the essential that can affect the [QoS] Quality of Service with Capacity of Mobile Broadband Networks. Within mobile cellular network communication systems, a (spectrum) limited shared resource needs to be shared with all the users, so full duplex communication is achieved. This paper involves studying diverse Hand over delay parameters and also focus on reducing “Hard Handover delay” by minimizing interruption time, activation time, wireless channel accesses time as well as the wireless link transmission delay. Technique is developed in order to reduce the handover delay time in Time Division Duplex network which too reduces the wireless channel access time and the wireless link transmission delay. A novel handover algorithm is developed which would decreases the handover delay time and access time inside mobile network environment.Additional work may be conceded on to obtain enhanced performance and Quality of service in Time Division Duplex mobile network.
Performance analysis of direct detection optical OFDM systems
Authors: D Kumar , R Anilkumar , C N Vijayakumar , Bhargavi S
Published: March 2018

Orthogonal frequency division multiplexing (OFDM) is a multicarrier modulation technique, in which the data information is carried over many lower rate subcarriers. This technique is started effectively using in both line communication and wireless communication systems. This modulation technique has been actively started in the field of light wave communication called optical OFDM (OOFDM) system. OOFDM is a multicarrier modulation technique; it is used to overcome the problem of inter-symbol interference due to the chromatic dispersion and polarization mode dispersion of the fiber channel. In this paper, we have done simulation on direct detection optical OFDM (DDOOFDM) system with data rate of 10Gbps and measuring performance analysis of DDOOFDM system with respect to the received optical power and various full width half maximum value of the continuous wave laser source. This analysis is simulated using RSOFT Design Group OptSim Version-5.2.
Computer aided drug design using virtual screening and molecular energy calculation of a specific neurodegenerative diseases
Authors: Nair B J Bipin , Rajendran Akshay
Published: March 2018

Computer-aided drug design (CADD) is designing a drug with the help of computational algorithms. Information technology advances to creates the structure of molecules, molecular modeling and calculate the binding energies of the drug to initiate a new medicine against neurodegenerative diseases. In our work, we implemented virtual screening of a drug-protein interaction is selected from drug data bank with potential drug bank inhibitory activity for a specific neurodegenerative disease. Here we analyze technical CADD studies of the neurodegenerative diseases. Finally selecting the best alkaloid for a specific neurodegenerative disease and predicting the efficiency using computation of alkaloid with molecular energy.
Coding and functional defect region prediction of placental protein in an embryo cell of first trimester using ANN approach
Authors: Nair B J Bipin , Reghunath Rahul
Published: March 2018

The protein coding and functional regions in DNA sequences has become an exciting task in bioinformatics. In particular, the coding region has a 3-base periodicity, which helps for exon identification. Many signal processing tools and techniques have been successfully applied to identify tasks, but still need to be improved in this direction. In our work, we employ ANN classifier to predict coding and functional region of proteinin human embryo cell protein in first trimester, and evaluate their performances according to the comparison energy levels of coding region. The obtained from the threshold energy level, results show that in a box plot finally predict the mutation.
Data analytic framework for crime sector using open grid rule generation algorithm
Authors: Sharmila begum M , George A
Published: March 2018

Data analytics (DA) is the process of exploring datasets in order to illustrate conclusions about the information they contain. It is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information. A database contains both structured and semi-structured data. The semi-structured data are from different sources. The system is provided with an open grid rule generationfor analyzing the data from whole data container. According to this concept, the analysis is much absolute rather than other, data mining technique.The main objective of the proposed study is to provide data having better and significant perspective.
Data encryption in public cloud using multi-phase encryption model
Authors: Choudhury Snata , Kirubanand V.B.
Published: March 2018

Cloud computing the most used word in the world of Information Technology, is creating huge differences in IT industry. Nowadays huge amount of data is being generated and the researchers are finding new ways of managing these data. Basically, the word cloud refers to a virtual database that stores huge data from various clients. There are three types of cloud public, private and hybrid. Public cloud is basically for general users where users can use cloud services free or by paying. Private cloud is for any particular organizations and hybrid one is basically combine of both. Cloud offers various kind of services such as IAAS, PAAS, SAAS where services like platform for running any application, accessing the huge storage, can use any application running under cloud are given. The cloud also has a disadvantage regarding the security for the data storage facility. Basically, the public cloud is prone to data modification, data hacking and thus the integrity and confidentiality of the data is being compromised. Here in our work the concern is to protect the data that will be stored in the public cloud by using the multi-phase encryption. The algorithm that we have proposed is a combination of Rail Fence cipher and Play Fair cipher.
SVM based pattern recognised islanding detection approach in a multiple distributed generation system
Authors: Srinivasa Rao Gundala , Kesava Rao G.
Published: March 2018

The penetration of Distributed generation (DG) ensures the increase of demand for consistent, reasonable and spotless electricity facing with some design and operational challenges such as islanding. Several active and passive methods have been suggested in the past to detect islanding. Since they suffer from the large non detection zone and a high cost. In order to defeat such issues we propose a SVM based pattern recognising approach for islanding detection in a multiple DG system. The results show that our proposed method detects islanding with high accuracy.
RFID based automatic tollgate collection
Authors: ChowdaryPolavarapu Sushma , Kunduru Umamaheswari , Hari Nallamala Sri
Published: March 2018

Automation within the transport system proved to be a remarkable investment inside the improvement of smart cities. ETC “Electronic Toll Collection” pursuits to cast off the holdup at toll gates by way of amassing toll fee electronically. Using this era we can reduce the congestion in tollbooths, in particular all through festive seasons while traffic has a tendency to be heavier than ordinary. The principle aim of this paper is to develop a conversation gadget to automate the vehicle access, go out toll series the usage of RF-Identification technology. Statistics can be without problems exchanged among the vehicle owners and toll management, thereby facilitating an extra effective toll collection by using decreasing traffic problems and abolishing feasible person made mistakes. Aurdino MEGA2560 microcontroller acts as the heart of the device. When any automobile passes thru the Toll Gate, the RFID tag, that's connected to the vehicle, receives scanned and an interrupt sign is dispatched to Aurdino from the RFID module. The microcontroller sends a signal to motor driver, GSM module and LED. On receiving the signal from Aurdino, LED turns from red to green because of this that the vehicle can pass thru the toll gate and the motor gets into movement via lifting the gate.
Chemical looping combustion of biomass for renewable & non- CO2 emissions energy- status and review
Authors: Venkata Siva Naga Sai Goli , C Pundlik Rajat , Venkateswara Rao P , R Kale Ganesh
Published: March 2018

World depends on fossil fuel combustion for thermal energy generation. Fossil fuel combustion leads to the generation of CO2 and extinction of non-renewable resources. To meet the future energy demands replacement of existing technologies should take place in the view of large quantities of GHG’s emissions from fossil fuels and their extinction. Chemical looping combustion (CLC) is primarily a combustion technique with an inherent separation of CO2 from the flue gases. Due to its advantage of negativeCO2 emissions, chemical looping combustion got attention of many researchers since last one and half decade. Recent research advancements in the CLC provided a platform for further research and developments in chemical looping combustion of biomass. This paper reviewsthe CLC of biomass to present the overview of chemical looping combustion technology and its status of biomass utilization as a fuel in CLC reactors.
Designing a model to determine the preferred Islamic contract for a bank facilities applicant
Authors: Jahani Marzieh , Mohammadi Parastoo
Published: March 2018

This paper aims to present a model to determine the preferred Islamic contract for the bank facilities applicant in the industrial sector. For this purpose we use a consolidated method which includes the compromise solution multi-criteria optimization in the first phase, and the calculation of the cost of financing for the applicant of facilities in the second phase. Afterwards, by using the output of the both-phase, the preferred Islamic contract based on the combinational criterion has been determined for the applicant of the facilities. According to the fact that in the financing of the projects, in addition to the criteria related to the cost of financing, the qualitative criteria are also important, so both the qualitative and quantitative criteria have been considered in this research. In this study, we used four widely applied Islamic contracts (Jo’aalah Instalment sales, Hire purchase, Participation). The assessment criteria of the Islamic contracts have been extracted in the form of a questionnaire based on the previous studies and the expert’s point of view. In the first phase, the Analytic Hierarchy Process (AHP) has been used in order to determine the weights of the evaluation criteria of the Islamic contracts; and, in order to select an appropriate contract for the applicant, the compromise solution multi-criteria optimization approach (VIKOR), which is based on the decision matrix, was used. In the second phase, the cost of financing from the bank was estimated for the applicant of the facilities in the four contracts. Finally, the obtained results of the qualitative questionnaire and the cost of financing from the bank have been combined; thus, the preferred contract for the applicant of facilities has been determined based on a combinational criterion.
The mathematical modeling for assessing the effectiveness of hot forging extruded round in plan forgings on crank presses
Authors: V. Telegin I , M. Volodin I , I. Zolotukhin P
Published: March 2018

The article presents the results of the development of a mathematical model for calculating the efficiency indices of technological schemes for hot volumetric stamping (GOSH) on crank hot-stamping presses (KGSHP) round in the forgings plan (for gear, pulley and other similar parts). Software solutions obtained on the basis of this model allow choosing from several variants of technological schemes the most effective for using it in production or further improvement.
Deep CNN based MR image denoising for tumor segmentation using watershed transform
Authors: Latif Ghazanfar , N.F. Awang Iskandar D , Alghazo Jaafar , Butt Mohsin , H. Khan Adil
Published: March 2018

Magnetic Resonance Imaging (MRI) is considered one of the most effective imaging techniques used in the medical field for both clinical investigation and diagnosis. This is due to the fact that MRI provides many critical features of the tissue including both physiological and chemical information. Rician noise affects MR images during acquisition thereby reducing the quality of the image and complicating the accurate diagnosis. In this paper, we propose a novel technique for MR image denoising using Deep Convolutional Neural Network (Deep CNN) and anisotropic diffusion (AD) which we will refer to as Deep CNN-AD. Watershed transform is then used to segment the tumorous portion of the denoised image.   The proposed method is tested on the BraTS MRI datasets. The proposed denoising method produced better results compared to previous methods. As denoising process affect the segmentation process therefore better denoised images by proposed technique produced more accurate segmentation with an average Specificity of 99.85% and dice coefficient of 90.46% thus indicating better performance of proposed technique.
A study on cyber-crimes, threats, security and its emerging trends on latest technologies: influence on the Kingdom of Saudi Arabia
Authors: Rajeyyagari Sivaram , S. Alotaibi Abdullah
Published: March 2018

Now a day the human life penetrated with the technology, like in every moment of life such as shopping or financial transactions and more are using technology in its cyber space. At the same time, it has become very difficult to safe guard the information. The online crime or cybercrime increased along with the heavy usage and development of social media. In case of Saudi Arabia, the cyber-attacks increased because of regional conflicts and low-level awareness about cyber security, and also the perception of Saudi Arabia being extremely wealthy. This paper identifies the importance and impact of cybercrime according to the current situation and Study reports of past activities that have taken place in Saudi Arabia. In addition, described about the cyber security and its emerging trends and latest Technologies along with the policies planned and implemented by the Kingdom of Saudi Arabia. However, the growth of Cyber Crimes becomes proportional to the technological advances. The present paper suggest the solutions to deal with the increasing online crimes in Saudi Arabia with few case studies and have been discussed some innovative suggestions for future cyber security.
Image segmentation using hybrid clustering with GA and finding the tumor area in image
Authors: Bali Bandana , Mohan Singh Brij
Published: March 2018

In this study, to enhance the execution and diminish the many-sided quality includes in the therapeutic picture division process, we have researched Berkeley wavelet change (BWT) based cerebrum tumor division. Moreover, to enhance the precision and quality rate of the help vector machine (SVM) based classifier, significant highlights are removed from each divided tissue. The test aftereffects of proposed system have been assessed and approved for execution and quality examination on attractive reverberation cerebrum pictures, in light of exactness, affectability, specificity, and dice comparability list coefficient. The trial comes about accomplished 96.51% exactness, 94.2% specificity, and 97.72% affectability, showing the viability of the proposed system for recognizing typical and unusual tissues from mind MR pictures. The exploratory outcomes likewise got a normal of 0.82 dice similitude list coefficient, which demonstrates better cover between the computerized (machines) separated tumor locale with physically removed tumor area by radiologists. The reenactment comes about demonstrate the noteworthiness as far as quality parameters and exactness in contrast with best in class strategies.
Fostering telecommunication industry development through collaboration among university, industry, and government ~Elevating triple helix model of collaboration in Indonesia~
Authors: Wu Mingchang , Siswanto Ibnu , Arifin Zainal
Published: March 2018

Background and objective: Over the past decade, Indonesian telecommunication market has enjoyed a steady growth by over than 30% per year. However, all of the cellphone and smartphone companies are foreign company and there is no local company. Therefore, this paper purports to analyze the current telecommunication industry development in Indonesia and how to elevate it for further enhancement.Materials and Methods: This article firstly reviewed the theory of triple helix model type of collaboration among university, industry, and government. Secondly, analyzed how to elevate it in order to foster Indonesian telecommunication industry. Finally, it gives some suggestions for further triple helix model implementation in Indonesia.Results: The steps to implement triple helix model of collaboration in Indonesia are (1) improving facilities and quality of the academic research, developing a collaboration that focuses on the applied science transfer, developing a product that is appropriate to the market needs, and (2) developing new hardware and software business spin-off. During the trilateral collaboration, evaluation is continuously based on some indicators, such as the number of patents, customer satisfaction with the products, and the number of new business units.Conclusions: The triple helix model of innovation has become salient in the development of Indonesian telecommunication industry. Readiness of Indonesia to implement knowledge-based economy development needs to be improved through human resource development, research facility enhancement, and by encouraging industry and governments’ participation in basic research and education.
Secondary steel mill furnace performance.
Authors: Chandra Gupta Yogesh , Bansal Kamal , N.Sriniwas S
Published: March 2018

Energy in a steel re-rolling mill is mainly consumed in furnaces. Therefore, furnace performance is very important and its contribution in the cost of product is very high. Data has been collected for two different furnaces in Stackle mill and analyzed for performance of furnace. In this paper, effect of furnace performance on secondary steel sector is analyzed. These data about performance is collected on Walking beam furnace in Stackle mill and Re-heating furnace.
Automation of an IoT hub using artificial intelligence techniques
Authors: Yasaswini A , V. DayaSagar K , ShriVishnu K , Hari Nandan V , Prasadara Rao PVRD
Published: March 2018

Fog computing is used for reducing the complexity level of a network architecture and processes the data in a fog node IoT Hub. The Internet of Things (IoT) will connect billions of devices, such as smart objects, which are heterogeneous in terms of hardware software and communication interfaces. The IoT has to this point grown as numerous vertical idea of the IoT, rather than focusing at the real creation of a highly interoperable infrastructure for the development of applications. For managing the various devices present in the hub we create an IP-based infrastructure so that the elements can be able to balance the diversified devices and the network elements are used to enhance the direct end to end communication which is much required. With all the above considerations we propose a Fog node i.e. an IoT hub that can be placed at the end of multiple networks thereby increasing the capability by implementing various functions such as allocation of resources border routers cache proxy servers etc. As the implementation of fog node is through the IoT hub here we would like to automate the resource allocation that takes place in the IoT hub.
A critical study and analysis of journal metric “CiteScore”, cluster and regression analysis
Authors: Varada Rajkumar K , Adimulam Yesubabu , Subrahmanyam K
Published: March 2018

In previous days the quality of journal is measured based on many metrics such as impact factor; SNIP(Source Normalized Impact Per paper),SJR( SCImago Journal Rank) and IPP(Impact Per Publication). It is very hard to find that the research papers to be published in which journal? CiteScore is a better way of measuring the citation impact of sources such as journals. CiteScore is a metrics product for journal from elsevier, using the citation data from the scopusdatabase to rank journals. CiteScore metrics is a comprehensive current and free metrics for source titles in scopus. Apart from Impact factor, CiteScore is becoming increasingly important in the context of evaluating metrics for all journals. CiteScore metrics are available for 37956 titles in scopus. It is not limited to journals as also conference proceedings, trade, publications and book series. The metrics are available 6 years period from 2011 to 2016. For a subset of CiteScore dataset clustering and regression algorithms can be implemented to study the data points that lie equally distant from one another.
A Semantic web based filtering techniques through web service recommendation
Authors: Radhika Jahnavi.S Rupa , Kumar.K Kiran , Hareesh.T Sai
Published: March 2018

In semantic web-based framework, the build of philosophy is utilized to look comes about by relevant that implies of input inquiry or maybe than catchphrase coordinating. From the examination writing, there shows up to be a need for a apparatus which may provide a basic interface for complicate in quiries in dialect that may recover the domain-specific information from the transcendentalism. This examination paper proposes an IRSCSD framework (Data recovery framework for designing science space) as an reply. This method offers progressed questioning and browsing of organized data with look comes about mechanically total and rendered specifically in an exceedingly steady client- interface, in this manner diminishing the manual exertion of clients. So, the most objective of this examination is fashion and advancement of phonetics web-based framework for bunch activity transcendentalism towards domain-specific recovery back. Strategy taken after could be a piecemeal investigation that includes the ensuing stages. First Arrange includes the arranging of system for phonetics web-based framework. Moment organize builds the encapsulation for the system victimization Protégé instrument. Third Arrange bargains with the dialect address transformation into SPARQL look dialect victimization Python- fundamentally based address system.
Spam detection using semantic web in mail services
Authors: Bhavika S , Prema Sindhuri B , Bhavana G
Published: March 2018

Electronic mails have become a part of our daily lives to exchange different type of information and messages. They provide a great medium to communicate with large number of people in a single stretch. This made so many marketing groups to think that email is a great platform for publicizing their goods or products. Not only are these marketers there so many other types of users who wants to make use of these emails for their own needs. As the time prolongs, this had become a problem for the other users because of the continuous undesired electronic messages sent by different marketing and some other unauthorized users. These messages are termed as spam messages. These spam mails have become a serious issue and there is a need to clear away all these junk mails. To do so different spam detection methodologies are developed and employed for providing an effective mailing service to the users. In this paper, we present various spam detection methods that are existing and also finding the accurate, effective and reliable spam detection method.