bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative study of cluster based routing protocols in WSN
Authors: Bhatia Varsha , Kumawat Sunita , Jaglan Vivek
Published: March 2018

Wireless Sensors network is a type of wireless network, used in diverse applications and has its own set of challenges. Apart from organizing and managing WSN, the main challenges include limited resources, dynamic topology and low scalability. Wireless Sensor nodes are battery operated, so energy scarceness is a major concern. The energy consumption is maximal at the time of data transmission between network devices or nodes. Various energy conservation schemes are applied in WSN; Energy Efficient Routing is one of the possible solutions. Energy Efficient Routing is used to minimize the maintenance cost of the network and maximize the performance of the node. In this paper different hierarchical cluster based routing protocols are discussed.
Recommender system for business development using POI
Authors: Divya R. , Angel Latha Mary S.
Published: March 2018

In the technology era, internet access is  unavoidable to find something or to share something with the world. Because of Globalization, the need for   withstanding in the competitive business market is a challenging task. If we are to start a  new business, ideas are needed. It is a tough task to decide where to start a new business with a scope of good profit as well as what type of business to start. If the business is a existing system, then how to increase the profit will be a challenging task.  Unfortunately, no existing system is available for business recommendation. The proposed system is a step to solve this problem. Our paper deals with this challenge.Initially, the user’s interest is obtained to fix a location as well as preferences were obtained for profit maximization. Then, the nearest neighbor is calculated from user’s preferences, checks for available businesses and recommends the business type to the user. In this paper, the step to calculate nearest neighbor for the preferences that the user gives are elaborated.
A cluster based load balancing in long term evaluation self optimization network
Authors: Nandhini R. , Udaya Nirmala Mary R.
Published: March 2018

Load Balancing (lb) is an important use case in long-term evaluation (lte) self-optimizing networks (sons). To overcome the potential ping-pong load transfer and low-convergence issues, we propose a clustering algorithm in lte son  to solve the asymmetry traffic distribution among multiple cells .The proposed algorithm, which is referred to as clustering algorithm which optimally redistributes the load of cells to the multiple cells on clustering. Thus the clustered nodes formed selects the cluster head based upon the efficiency of the node. The cluster head is responsible for gathering the information about all the nodes within and outside the cluster, thus the speed gets increased and convergence time gets reduced by this method the hidden node problem gets avoided by implementing the enhanced protocol.
Designing modular and distributive lattices using L-soft group: A survey
Authors: Vimala J. , Vijayalakshmi L.
Published: March 2018

Soft group was firstly introduced by Aktas and Cagmam. The concept of modular and distributive soft lattices over the soft sets was offered by Faruk Karaaslan. In this paper, we discuss the modular and distributive lattices on soft group. We study several characterizations of modular and distributive lattice ordered soft group (‘ - soft group) and derived its properties.
Potential item set mining by using utility pattern growth model in big data
Authors: Angel Latha Mary S. , Divya R. , Uma Maheswari K.
Published: March 2018

Information extracted by using data mining in earlier days. Now a day’s, the most talked about technology is Big Data. Utility Mining is the most crucial task in the real time application where the customers prefer to choose the item set which can yield more profit. Handling of large volume of transactional patterns becomes the complex issue in every application which is resolved in the existing work introducing the parallel utility mining process which will process the candidate item sets in the paralyzed manner by dividing the entire tasks into sub partition. Each sub partition would be processed in individual mapper and then be resulted with the final output value. The time complexity would be more when processing an unnecessary candidate item sets. This problem is resolved in the proposed methodology by introducing the novel approach called UP-Growth and UP-Growth+ which will prune the candidate item sets to reduce the dimension of the candidate item sets. The time complexity is further reduced by representing the candidate item sets in the tree layout. The test results prove that the proposed new approach provides better result than the existing work in terms of accuracy.
Enhancement ofregression testing using genetic data generation and test case prioritization using m-ACO technique
Authors: K. Harikarthik S , Ramanathan P , Palanisamy V
Published: March 2018

The changes that occur during the software development process is rapid. Hence software has to undergo modification frequently. Due to this modification,the cost for testing increases due to repetitive retesting. This retesting process is called as the regression testing. Modification made in the single test case will make the side effect in all other related test cases. In order to overcome this problem all the test cases have to be retested again and again whenever the changes are incorporated in the software. But testing all the test cases is time consuming and will also increase the cost of testing. To address this problem, this work focuses on providing priority to the test cases. Test case which had more effect to changes is assigned with higher priority and the test case which had the less effect to changes is assigned lower priority. For test case prioritization, we employ m-ACO (Modified Ant colony optimization) method.Test case prioritization is done in two ways namely “Triangle classification problem” and “Quadratic Equation Problem”. Flow of the data in the test case is done by Genetic Algorithm. This identifies the changed code in the program under test. It identifies both indirectly and directly affected def-use association in the modified part of the software by using forward walk algorithm and backward walk algorithm.
A survey on localization techniques in wireless sensor networks
Authors: Bharathi Priya C , Sivakumar S
Published: March 2018

Wireless Sensor Networks (WSNs) are a kind of ad-hoc networks where the nodes in the network have sensors on board and can sense different phenomena around the sensors deployed in the field. WSNs became very popular due to its diverse nature of applications including Cyber-Physical Systems (CPS), Precision Agriculture, Disaster relief & Rescue operation, Object Tracking in terrestrial environment, Health care application to monitor the physical parameters of a human, space application etc. Most applications use the location information of a sensor node as an inherent characteristic. Location information is mandatory in order to identify in which spatial coordinate the sensor data originates. Broadly, the localization techniques are classified as: range based and range free methods. Hence study of localization techniques for Wireless Sensor Networks is highly significant today for different kind of applications. This paper gives an overview on survey of localization techniques in Wireless Sensor Networks and its current significance.
An empirical study of organizational culture dimensions impacting employee’s performance in IT industry, Tamilna-du
Authors: M Karthik , Vasumathi A
Published: March 2018

Every company has their own unique culture. Organizational culture is a set of norms, values, beliefs and vision that define how employees and managers intermingle within an organization. Irrespective of whether a preset list of company values present or not, an organization develops its own culture. However, organizations haven’t been paying as much attention to organizational culture until now. A 2015 study by Deloitte University Press found that 87% of the organizations surveyed now cite culture and employee engagement as their top challenges. Thus the current study aims at analyzing the impact of cultural dimensions on performance management in IT organizations. Analysis, conclusion and recommendations were drawn out based on the research and findings. The study found a significant association between experience of the respondents and their responses towards often getting reminder and warning to complete their tasks. The study has also found a significance variance between age of the respondents and the practices of Human Resource Department. The study has also found an association between variety of tasks being handled and employees’ performance.
Coalesce based binary table: an enhanced algorithm for mining frequent patterns
Authors: Sireesha M. , Vemuru Srikanth , TirumalaRao S. N.
Published: March 2018

Frequent item set mining and association rule mining is the key tasks in knowledge discovery process. Various customized algorithms are being implemented in Association Rule Mining process to find the set of frequent patterns. Though we have many algorithms apriori is one of the standard algorithm for finding frequent itemsets, but this algorithm is inefficient because of several scans of database and more number of candidates to be generated. To overcome these limitations, in this paper a new algorithm called Coalesce based Binary Table is introduced. Through this algorithm the given database is scanned only once to generate Binary Table by which frequent-1 itemsets are found.  To progress the process, infrequent-1 itemsets are identified and removed from the Binary Table to rearrange the items in support ascending order. To each frequent-1 itemset find Coalesce matrix and Index List to generate all frequent itemsets having the same support count as representative items and the remaining frequent itemsets are obtained in depth first manner. The significant benefits with the proposed method are the whole database is scanned only once, no need to generate and check each candidate to find the set of frequent items. On the other hand frequent items having the same support counts as representative items can be identified directly by joining the representative item with all the combinations of Coalesce matrix. So, it is proven that coalesce based Binary Table is panacea to cut short the time in identifying the frequent itemsets hence the efficiency is improved.
Reconfigurable pseudo biotic key encryption mechanism for cryptography applications
Authors: Murali Krishna B. , Khan Habibulla , Madhumati G.L.
Published: March 2018

Pseudo biotic cryptography will be an advanced crypto-analytic model, as it is presently increasing bimolecular computation, since its process energize and can verify future generation network computing. Nowadays, the data protection has become very important such that an unbreakable encryption technology should be designed in order to provide security for the data. A new paradigm in cryptography to secure information was introduced through biological structure called central dogma of molecular biology. DNA cryptographic system gains more popularity with enhanced features like, high storage capacity, security level, and more time to break the crypto system. This paper proposes new pseudo biotic DNA based crypto mechanism. This DNA computing created good path for storing large information, correspondence and high energy efficiency. The proposed method, message is converted to Deoxyribonucleic Acid (DNA), Messenger Ribonucleic acid (MRNA), and Transpose Ribonucleic acid (TRNA) standards. A part of converted message is spliced unsymmetrical to produce a random key at each stage. The sliced unsymmetrical key generation mechanism relies on the genetic information. The process involves in splicing the message and generating multiple sequence of keys from different stages which are random in order to enhance the degree of security. Cracking possibility of the algorithm is less due to pseudo random key generation mechanism and cipher both were merged in protein form. Proposed Algorithm utilizes less public key infrastructure, and communicated between Alice and Bob. Algorithm was designed, using Verilog HDL; Synthesized & Simulated in Vivado and hardware implementation is targeted to Zync FPGA architecture.
Design and analysis of energy harvester using MEMS based Cantilever with variable perforations
Authors: Prasad G.R.K , Siddaiah N. , Sanjeev P. , Raviteja A. , Karunya P. , Priyanka P.S.
Published: March 2018

This paper represents the design and analysis of energy harvester using MEMS based cantilever with PMN-PT single crystal properties which has excellent piezoelectric properties while compared to other piezoelectric materials like PZT thick film. The design is analysed using COMSOL multi physics which is used for many MEMS operations and also problems related to physics with many mathematical calculations with better efficiency and ease to design. We designed a cantilever with PMN-PT properties which has good coupling coefficient and increased perforations in number in form of square and circular. We tested the displacement sensitivity i.e., the variation of displacement at different eigen frequencies with increase in number of perforations. We observe output voltage by designing electromechanical analysis and variation in output capacitance of  2 .41 x 10-22 Farads is observed.
Design and analysis of proof mass based micro sensor for early detection of Parkinson’s disease
Authors: Prasad G.R.K , Shameem Syed , Srinivasulu N. , Renukavalli C. , Manasa B. , Srinivas Babu P. S.
Published: March 2018

Micro Electro Mechanical System (MEMS) is the promising technology in bio-medical engineering which reduces the cost, sensitivity and accuracy of the devices. A Novel structure is proposed using MEMS technology in this paper. The structure comprises of a proof mass which is movable and four arms or limbs with a torus of 900 revolution angle. The four edges of the torus are fixed. A fixed plate is kept on the top of the proof mass to measure the capacitance and output voltage of the proposed MEMS sensor. The sensor is designed for a value of 0.4g to 0.8g. The simulated values are correlated with the theoretical values. The proposed design accurately measures tremor frequency which is in the range of 4Hz to 7Hz. The proof mass in the structure moves up and down when the device is attached to finger tip of the patient because the resting tremor or pill rolling tremor is the preliminary and basic detection symptom of Parkinson’s disease. When the structure is connected to fingertip, variation in Eigen Frequency, output voltage and capacitance is measured. An amplifier is designed with a gain of 103dB and verified with the voltage so obtained from the output of the proposed sensor is 100 milli volts. There is a variation of 5% change in capacitance from theoretical to simulated values. Similarly, 8% variation in voltage. The displacement sensitivity is increased by 10%. The design is simulated using FEM tool COMSOL Multiphysics.
Inevitable dissection of left ventricle aimed at discovery of cardiac blood flow appraisal
Authors: M. Inbalatha , S. Kalaivani
Published: March 2018

Cardiac Magnetic Resonance Images (MRI) are chastely indispensable implement for truthful demarcation of the left Ventricle myocardium for purposeful and serviceable cardiac examination. Dissection of  MRI principally the leftward ventricle (LV) is a blistering focus with extraordinary perplexing owed to deceive delineation such as percentages misalignment in its position, in homogeneity of sequential portions and to clinch divergence in focus of adjoining pixels for the change in the body fluid drift. In this effort, we put forward a scheme to inevitably fragment the leftward Ventricle of  MRI images by Round Hough Transform (RHT) initially by locating the seed point stalked a circle with apt radius as basal region and verdict the ROI  in the image. Adjoining the center, apex region of the left ventricle is positioned till the extent and shape connection obsolete plus the mid region from the intermediate ventricle to the base up to the myocardial fringe. This same images of 21 subjects are compared with the manual delineation method by locating the center manually.  Mean and Standard deviation is calculated for the basal, mid and apex regions of the LV for auto and manual segmentation. Bland –Altman investigation is performed for End Diastolic Measurements in volume (EDV) with the existing investigations and found to be more close to the ground truth results and superior than the previously enduring methods. To conclude the projected segmentation process truthfully locates and segments the LV which trials the one hundredth of blood pour. EDV measurements are established with less computational time to find the patient’s heart failure with myocardial Infarction.Objective: To spot the cardiac maladies triggered owed to stumbling block of blood by dissection of left Ventricle with MRI image.
Implementation of modified SARSA learning technique in EMCAP
Authors: Ganesha D. , Venkatamuni Vijayakumar Maragal
Published: March 2018

This research work presents analysis of Modified Sarsa learning algorithm. Modified Sarsa algorithm.  State-Action-Reward-State-Action (SARSA) is an technique for learning a Markov decision process (MDP) strategy, used in for reinforcement learning int the field of artificial intelligence (AI) and machine learning (ML). The Modified SARSA Algorithm makes better actions to get better rewards.  Experiment are conducted to evaluate the performace for each agent individually. For result comparison among different agent, the same statistics were collected. This work considered varied kind of agents in different level of architecture for experiment analysis. The Fungus world testbed has been considered for experiment which is has been implemented using SwI-Prolog 5.4.6. The fixed obstructs tend to be more versatile, to make a location that is specific to Fungus world testbed environment. The various parameters are introduced in an environment to test a agent’s performance. This modified   SARSA learning algorithm can   be more suitable in EMCAP architecture.  The experiments are conducted the modified   SARSA Learning system gets   more rewards compare to existing  SARSA algorithm.
Development of mode choice models of a trip maker for Hyderabad metropolitan city
Authors: Prasad Bollini , Molugaram Kumar
Published: March 2018

The rapid development of urbanization, population growth and the rapid development of economy resulted in the rapid increase in the total number of motor vehicles in the modern cities of India. Consequently, the importance of forecasting of the travel demand model has been increased in the recent years. Forecasting of the travel demand model involves various stages of trip generation and distribution, mode choice and traffic assignment. Among these stages, the mode choice analysis is a prominent stage as it considers the travelers mode to reach their destination. Further, study of mode choice criteria has become a vital area of research as individual and household socio-demographics exert a strong influence on travel mode choice decisions. There is a huge literature on travel model choice modeling to predict the range of trade-offs of transportation of commuters considering travel time and travel cost. In such literature intercity mode choice behavior has gained significant attention by several authors. In this study an attempt has made in order to calculate the model share of the different modes between the circle to the circle, and it is found that the modal share of 2-wheeler is 70 %, bus is about 23 % and car is about 7% of the total trips.
A demand for wearable devices in health care
Authors: Vijayalakshmi K. , Uma S. , Bhuvanya R. , Suresh A.
Published: March 2018

With the popularity of wearable devices, along with the development of telecommunication system there is a need for obtaining the health and fitness outcomes. So the recent advances in data analysis techniques have opened up new possibilities for using wearable technology in the digital health ecosystem. In past, it’s too difficult to use the wearable devices for healthcare system because of the size of those sensors. But now with front end amplification and wireless data transmission, the wearable devices are deployed in health monitoring systems. Although the devices are continuously monitoring the human’s body activity and collect various physiological data to increase the quality of human’s life. In this paper first we provide a research survey on available wearable or gadgets. Also we conclude with future directions in wearable research and market.
An investigation on cryptographic algorithms usage in IoT contexts
Authors: Aswathy R H , Malarvizhi N
Published: March 2018

The broad vision of IoT focuses the highly increasing the electronic devices and application in which leads to the growth of technology. The enormous amounts of constrained devices are interlinked, communicate and coordinate with each other to fulfill its tackier mainly concentrate on low energy, Resource constraint, self-organization and short range of communication. In this heterogeneous environment of Antiprivacy and security are the greatest challenge. The secure information exchange is most critical pitfall to ensure the system security. In this paper we discussed and analyzed about various security algorithms like Triple DES, AES, Blowfish and ECCwith their structure, block size, key generation, number of rounds with different settings. In order to analyze the efficiency of all said algorithms, we made an experiment on algorithms works on constrained devices in different contexts, all our experiments show that ECC is the most suitable security algorithm in IOT contexts.
Internet of things (IoT): a survey on protocols and security risks
Authors: Aswathy R H , Malarvizhi N
Published: March 2018

A dramatic change by the growth of new ubiquitous computing, our globe is moving towards the fully connected paradigm called Internet of Things (IoT). The world is being connected and interlinked with the exponential growth of this pervasive technology. It plays a significant role in many fields such as healthcare, manufacturing industry, agriculture, transportation, smart homes etc and reinforces our everyday life. It acts as an aegis for covering all the factors such as protocols, key elements, technologies etc. IoT includes many capabilities and numerous mechanisms but protection hassle that slow down the era. In this paper we discussed about essential protocols and security issues of IoT.
A mobile application using IoT enabled navigation system for bus riders
Authors: G Nivedhitha , Carmel Mary Belinda M.J Dr , G Nivedhitha
Published: March 2018

A bus rider often faces the problem of losing track with the bus timing and position. Towards the goal of making it easy for the student boarding college buses, we make use of the Internet of Things (IoT) technology. It provides the followingservices for the bus users: 1) location and progress information of the required bus 2) tracking nearby buses and3) automatic attendance registration of the bus. With this system, we describe various challenges and a few potentialsolutions such that the bus riders feel more convenience with this integration of Internet of Things (IoT) to transportservices.
Secret data sharing using steganography and image processing
Authors: Bhuvanya R , Vijayalakshmi K , Uma S , A.Suresh A
Published: March 2018

Steganography is a technique that helps to hide the secret data inside the digitally covered image. The message to be hidden can be a text,image, speech, video. The proposed method aims to combine the technique of steganography and Image Processing. Cover image helps to carry the secret data in an embedded form which is referred as stego image. This work proposes a new implementation process called clustering modification directions (CMDs). To implement this methodology, several sub images will be created by decomposing the cover image using additive distortion functions. To enhance the security, password protection is also applied for the hidden information to be retrieved.
Wireless body area network using data communicationprotocol
Authors: K Antony Kumar , Saranya Jothi C , Ravikumar S , Usha V
Published: March 2018

Remote Body Area Networks are relied on to expect a basic part in the field of patient-thriving checking inside the not so distant future, which increases beast thought among specialists beginning late. One of the inconveniences is to build up a protected correspondence design among sensors and clients, while watching out for the typical security and protection concerns. In this paper, we propose a correspondence planning for BANs, and outline a course of action to secure the information exchanges between introduced/wearable sensors. Our course of action accomplishes an area based access control by utilizing an entry control tree portrayed by the attributes of the information. We likewise outline two customs to safely recover the touchy information from a BAN and instruct the sensors in a BAN.
Investigation of SIW directional coupler for 60ghz mm-wave applications
Authors: Bharath Kumar K. , Shanmuganantham T.
Published: March 2018

In this article, 60 GHz directional coupler is designed by using Substrate Integrated Waveguide (SIW) technology using Coplanar waveguide as a transmission path. To design directional coupler RT duriod 5880 substrate material is used. Here directional coupler is analyzed by changing the thickness of copper coating and height of the substrate. By changing the thickness of copper coating and height of substrate examining the directional coupler results like reflection coefficient, insertion loss, coupling factor, isolation loss, VSWR, surface current, Electric field and magnetic field variations. Verifying the thickness and height of substrate is suitable for RADAR application in millimeter frequency range. RT duriod 5880 substrate material height is 0.508mm and thickness of 0.035mm are chosen to design directional coupler. At 60 GHz directional coupler gives reflection coefficient as -36.03 dB, insertion loss as -1.3 dB, coupling factor of -6.3 dB and isolation loss of -36 dB.
Generator reactive power pricing for practical utility system using power flow tracing method
Authors: D Danalakshmi , S Kannan , R Gnanadass
Published: March 2018

The shift from regulated to restructured power system results in an increased competition among the electricity market. In restructured power system, the separation of transmission services from generation and distribution makes it necessary to find the contribution of power from individual generator to individual load. The power flow tracing method is used to obtain the generator power output to a particular load. The reactive power has to be maintained in order to sustain the voltage level throughout the system for reliable and secure operation. Hence the reactive power cost allocation has become imperative in the power system. In this paper, the tracing method is integrated with the optimal reactive power dispatch problem to trace the generator minimal reactive power for sustaining the real power transaction and enhancing the system security by meeting the demand. The Differential Evolution is used for optimal reactive power dispatch. The cost allocation to the generators for the reactive power service based on the opportunity cost method is obtained for 62 Bus Indian Utility Systems.
Reconstruction of RGB composite CT lung image by blind de-convolution for various blurring functions
Authors: Vattikunta Kalpana , G.K Rajini
Published: March 2018

A competent and flexible tool to optimize inverse problems related to image reconstruction by restoration is Alternating Direction Method of Multipliers (ADMM) with the knowledge of known blur. This method is later modified to perform Blind Image De-blurring (BID) of unknown blur on original image by using some function of regularization. But, in real world for de-blurring, the prior knowledge of blurring filter is important. In this research work, estimates of the image and blurring operator are obtained by considering significant image edges. An ADMM iteration criterion forms the base for which whiteness measurement parameter estimation which includes auto-correlation, auto-covariance. Using these parameters best ISNR is taken as input resulting from the iterations. Different degradation conditions are considered in the analysis to estimate the performance and to bring a conclusion to the degradation and restoration pair by processing composite and component images of the input RGB-CT lung image.
Modelling and simulation of ZDC controlled PMSG based wind energy conversion system
Authors: Pidikiti Tripura , Ram Das G Tulasi
Published: March 2018

This paper presents the comparison of dynamic performance and steady state operation of PMSG wind energy conversion systems with two modulation techniques. Voltage oriented control (VOC) is used for grid-connected converter along with sinusoidal pulse width modulation (SPWM) and Space Vector Modulation (SVM) schemes. The generator is controlled by using zero d- axis current (ZDC) control scheme along with optimal torque control (OTC). Performance comparison with two pulse width modulation schemes through simulation results are presented for 2MW/ 690V/ 9.75Hz Non-Salient Pole PMSG using MATLAB/SIMULINK.
Survey on machine learning algorithms for liver disease diagnosis and prediction
Authors: Kiran Kumar M , Sreedevi M , C. A. Padmanabha Reddy Y
Published: March 2018

Machine learning plays a vital role in health care industry. It is very important in Computer Aided Diagnosis. Computer Aided Diagnosis is a quickly developing dynamic region of research in medicinal industry. The current specialists in machine learning guarantee the enhanced precision of discernment and analysis of diseases. The computers are empowered to think by creating knowledge by learning. This procedure enables the computers to self-learn individually without being explicitly programed by the programmer .There are numerous sorts of Machine Learning Techniques and which are utilized to classify the data sets. They are Supervised, Unsupervised and Semi-Supervised, Reinforcement, deep learning algorithms. The principle point of this paper is to give comparative analysis of supervised learning algorithms in medicinal area and few of the techniques utilized as a part of liver disease prediction.
Some reliability characteristics of a linear consecutive 2-out-of-4 system connected to 2-out-of-4 supporting device for operation
Authors: Ibrahim Yusuf , Yusuf Bashir , Babagana Mansur , Sani Baffa , Lawan Muhammad Auwal
Published: March 2018

This paper presents the Markov model for the reliability analysis of a linear consecutive 2-out-of-4 repairable system operating with the help of a linear consecutive 2-out-of-4 external supporting device. The system is analyzed using first order linear differential equation to develop the explicit expression for steady-state availability, busy period and profit function. Based on assumed numerical values given to system parameters, graphical illustrations are given to highlight important results. In addition, the effect of failure and repair on availability and profit are researched.
An analysis of springback of compliant assemblies by contact modeling and welding distortion
Authors: Atik Hafsa , Chahbouni Mouhssine , Amagouz Driss , Boutahari Said
Published: March 2018

Due to the development of the automotive and aeronautical industries, and the impossibility of pro-typing of the flexible parts because of the large real dimension as well as the behavior of this type of parts during the assembly, the tolerance of the flexible parts become  an essential step in aeronautical manufacturing. Therefore the tolerance of plates in the assembly of mechanical systems is one of the key stages in the creation of a product in the automotive and aeronautical industries. This paper deals in the first stage a presentation of the tolerance of deformable mechanisms, through the illustration of the general problem. In order to study in the second stage the model of simulation of the variation of deformable (flexible) mechanisms, using the Influence Coefficient Method taking into account the effects of contact between the surface and including welding distortion. Finally the modeling of a mechanism of this type through an example with a view to an analysis of tolerances.
Optimization tolerancing of surface in flexible parts and assembly: Influence Coefficient Method with shape defects
Authors: Atik Hafsa , Chahbouni Mouhssine , Amegouz Driss , Boutahari Said
Published: March 2018

Generally, a mechanical product must fulfill particular functions in accordance with the specification provided by the customer. A designer must find a solution with lower cost to answer the functional requirements. After the design stage, come the prototyping of the parts, but in case of the large structures of automotive and aeronautical parts, this step is impossible because of the large real dimension as well as the behavior of this type of parts during the positioning and during the assembly of all the mechanism.The aim of this article is to show the influence of geometrical shape differences in the assembly of flexible components in order to optimize the tolerancing of surface in flexible parts and assembly. first a presentation of the tolerance of deformable mechanisms through the illustration of the general problem, then we propose a new approach which takes into account shape defects based on the Influence Coeficient Method, after that we compare between a case study without takes into account shape defects and another one but this time taking into account shape defects always based on the Influence Coefficient Method.
ICR: information, cluster and route agent based method for efficient routing in VANET
Authors: Gokula Krishnan V , N. Sankar Ram Dr
Published: March 2018

Vehicular Ad-Hoc Network (VANET) is a variety of mobile ad-hoc networks (MANET) that differs from the fact that VANETS communicates between vehicle-to-vehicle and vehicle-to-roadside communication network. VANETs have the possibility to integrate with WiFi, Bluetooth and other connectivity protocols which makes it a new standard. The desired outcome expected from VANET is to communicate between nodes in any environment irrespective of traffic density and vehicle locations. Since vehicular communication is a part of constantly changing environment and it must also operatein urban and rural areas. Taking in mind the large number of nodes that are actually participating in these networks and also the property of high mobility between them, it has resulted in many debates about a feasible routing protocol. This paper introduces a multi-agent system approach to solve the problems faced by vehicular communications since it comprises of more than one agent solve the problem of routing, the resulting protocol gives higher efficiency and better performance on packet delivery and end-to-end packet delay.
Comparison of electroless Ni-P/ Ni-B on corrosion performance
Authors: John Leon S , T. WinowlinJappes J , Edwin Sahayaraj M
Published: March 2018

This research work compares annealed and as-coated electroless Ni-P’s resistance to corrosion and electroless Ni-B coating prepared on the mild steel substrate. The coatings’ resistance to corrosion was estimated by Tafel electro chemical polarization method utilizing electrochemical analyser in 3.5wt % solution of Sodium Chloride. Both the coatings’ annealing temperatures were maintained at normal intervals to consider their corrosion resistance performance. Further, the corrosion behaviour of both the coatings with their as-coated and various annealed temperature were discussed for the deliberation of deposits phases, crystallite sizes and micro strain.
The supreme agent strategy for efficient searching and manifesting vital cloud services
Authors: S Dhanasekaran , V Vasudevan
Published: March 2018

The supreme agent technique deals with devise and magnification of software agents for effectively discovery appropriate cloud services, cloud service agreement and cloud service assortment. This research work establishing an agent based strategy for composing variety of relevant cloud services and provides unified virtualized service to the cloud customers in a effective manner. The contribution of research work includes developing cloud service search engine for efficient cloud service discovery, and dealing both provider and consumer by means of supreme agent strategy. This supreme agent scheme uses an enhanced fuzzy based ranking algorithm. This supreme agent system works on behalf of cloud user and provider to list out various cloud providers with necessary information to enable the user to choose relevant cloud service in a reasonable time period. Cloud agreement mechanism facilitates the agreement activities among client agent & intermediate agent also among intermediate agent & supplier agent. Cloud service assortment facilitate the agent vigorously choose the Cloud services and records the display the available cloud services.
Cloud based computational intelligence approaches to machine learning and big data analytics: literature survey
Authors: Venkata Siva Reddy D , Vasanth Kumar Mehta R
Published: March 2018

Today there are many sources through which we can access information from internet and based on the dependency now there is an over flow of data either in refined form or unrefined form. Handling large information is a complicated task. It has to overcome many challenges. There are some challenges like drawing useful information from undefined patterns which we can overcome by using data mining techniques but certain challenges like scalability, easy accessing of large data, time, or cost areto be handled in better sense.Machine learning helps in learning patterns from data automatically and can be leverage this data in further predictions. Cloud computing has now turned out to be a big alternative while handling big data because cloud itself carry certain features which help in analyzing and accessing big data in proper manner.Before switching to Cloud based approaches it provides an ease of set up or testing and is economical.Thus there is a demand for cloud computing and machine learning techniques with Hadoop or Spark.Mainly we are focusing on various works that have been done in handling big data. Here the analysis of various algorithms that are used by various researches in handling big data as well as outcome that they obtained in overcoming the challenges in handling big data.
Study on strength and durability properties of bio-concrete
Authors: Ashok Varma B , Chandra Sekhar G
Published: March 2018

Concrete is very vulnerable to cracking which allows chemicals, salts and water which initiates the corrosion and reduces the life of concrete structures. So it is better to adopt a self-repairing technique which can reduce the fissures and cracks. Bio-concrete is one of the remedial techniques. In this project Bio-concrete is prepared under the grade of concrete M20 by using various amounts of bacteria (Bacillus subtilis) to enhance the strength and durability properties of concrete. The compressive strength and tensile strength of concrete were found .The durability studies are also carried out by using concentered H2SO4 for both conventional and bio-concrete specimens exposure to 28 days and it showed that bio-concrete gave better Improvement comparatively.
Stabilization of black cotton soil by using cement, lime and rice husk in flexible pavements
Authors: Satish Sajja , Prakash Koganti Shyam , Hemantha Raja Kommineni , Raaga Sai Kaza
Published: March 2018

Expansive soil (Black cotton soil) is very weak and does not have enough stability for any type of construction work. To make the subgrade soil stable, by improving its engineering properties is very essential. In the present work, stabilization of subgrade soil by using Sand and Cement varying percentage of cement as 2%, 3%, 5% and constant percentage of sand by weight of soil, Rice Husk of 5%, 7%, 10%, and Lime is used to enhance the strength of subgrade soil. The purpose of this study is to determine the optimum dose of the stabilizer, which improves the strength and bearing capacity of soil less which is suitable for pavement structure. To evaluate the strength of soil, various tests have been performed such as Sieve analysis, Liquid limit, Plastic limit, Specific gravity, Compaction (OMC, MDD) and CBR test in the laboratory. The result shows that the use of the above materials in combination increases the California Bearing Ratio values (CBR). By using the CBR value the design of pavements to carry traffic in the range of 1 to 10 msa and 10 – 150 msa is calculated as per IRC: 37 – 2001.
Numerical and experimental investigation of crack in beams using frequency contour method
Authors: S Nancy Debora , I Antony Godwin , R Irish Nivitha , L Rishipal Reddy
Published: March 2018

Health monitoring of Structures is a vital tool for engineers to ensure the life of important structures like Dams and bridges, Stadiums and buildings and, Platforms and vessels, Wind turbines Airframes, and large machinery and equipments. SHM helps to detect damage at earlier stage before failure occurs by sensing systems. Various damage detection methods are available in accordance with vibrational characteristics of the structure. In this paper Frequency contour method which consumes less time is employed to detect, locate, and characterize damage in structural and mechanical systems.Experimental and Numerical modal analysis were carried out on cracked and healthy beams of steel with cantilever support conditions of size 20mmx20mm and of length 300mm using ABAQUS. Three natural frequencies are obtained as a basic criterion for crack detection. To locate the damage of the normalized frequency in terms of location and depth of the crack were designed using MATLAB. The intersection of three contour lines represents crack location and crack depth. Prediction ofdamage using frequency contour method gives good result
The perspective of using 3D-modeling in the designing of technological solutions for chassis design
Authors: L.S Abdullah , V.A Kukushkina , E.A Kantaryuk
Published: March 2018

In the modern world 3D-technologies plays an important and significant role in almost every spheres of human life. This is particularly pronounced in industry. Perspectives of using these technologies allow optimizing the production of products of varying complexity, reducing production time and reducing the possibility of defects in the early stages of designing. For the showing the application of 3D modeling its application in vehicle designs considered in this paper. For this purpose a vehicle chassis is designed and then the tension distribution of chassis in the bump condition and its analysis are provided.
About signals allowing to provide sustainability to impacts of short-term and or focused on spectrum interference
Authors: G. Zhilyakov Evgeny , P. Belov Sergey , V. Ursol Denis
Published: March 2018

The growth of telecommunication technology application intensity generates the problem of mutual influence concerning the systems which generate them. This influence distorts the signals providing information interaction, which allows us to talk about the mutual interference created by them.It is proposed to use basic functions in the work in the work to combat short-term interference in comparison with signal duration. One of the function fragments can be calculated from the others. In its turn, one should use basic functions in order to combat narrow-band interference, some fragments of the Fourier spectra of which can be calculated from the others.It was shown that it is useful to use the eigenfunctions of symmetric operators determined non-negatively as the transmitted signals. Relations are obtained that express certain fragments of signals through others.In order to combat narrow-band interference, it is proposed to use the intrinsic functions of subband nuclei as basic functions. They obtained the relations, which allow us to recover the distorted fragments of their spectra.Thus, they developed the theoretical basis to counter short-term and narrow-band interference during the transmission of information.
API vulnerabilities: current status and dependencies
Authors: Bhuiyan Touhid , Begum Afsana , Rahman Sharifur , Hadid Imran
Published: March 2018

Recently API (Application Programming Interface) is becoming more popular for developers. When software is designed, most of the time, developers need to use APIs to manage a specific task. Developers use various kinds of APIs. Some of them are built by themselves and some are used from public APIs. API is a set of functions and procedures that allows another program or application to get access to features or data. Public APIs are open in public networks; developers collect these APIs depending on their specific needs. Developers need to interact with other software, as a result, a developer can conduct specific task without authorization to access the entirety of the software. It definitely reduces our loads at the same time introduces risks. In the end every developer wants to ensure security to his/her application. Commonly used public APIs are not enough secure to provide security to confidential data. We focused on these public APIs that are commonly used by developers. We tested a set of public APIs in our security lab and we have found many vulnerabilities that are highly alarming for developers who are going to use these API. In this paper we have tried to introduce the current status of vulnerable APIs. Moreover, several relationships exist between API vulnerabilities. In this paper we have also discussed the dependencies and relationships between API vulnerabilities.
Measure of overall regression sum of squares of symmetric randomized complete block design with a lost observation
Authors: Sirikasemsuk Kittiwat
Published: March 2018

A randomized complete block design (RCBD) is useful for analyzing a treatment variable and one block variable under the condition where experimental units are limited. The RCBD is assumed that there is no interaction between the treatment variable and the block variable. This paper considered the symmetric randomized complete block design (SRCBD) with t treatments and t blocks, when a lost value occurs in the experiments. For the analysis of variance for the unbalanced data, the ready-made formulae were not provided in the past. The SRCBD with a lost value was analyzed by means of the fundamental underlying linear regression model in order to determine the reliable mathematical formulae for the fitted parameters and the overall regression sum of squares of experimental data. It is noted that all possible parameters are considered in the overall regression sum of squares which will be helpful for the analysis of variance through the exact approach (the model comparison approach) at a later stage.
A Study of major secure SDLC processes in web based applications
Authors: Mohanty Subhranshu , Kumar Mohapatra Amar , Patnaik Srikanta
Published: March 2018

Web applications have become important but there are different types of security problems which could lead to tampering with details. The most common are cookies poisoning, structured query language, cross-site scripting and parameter tempering. This is the reason why most of the web companies today are verifying the type of content they receive and most importantly, from where the contents are originated. It has been thus noted from the above deduction that the major security threat has nothing to do with the Secure Socket Layer rather other layers in the web development program. In order to avoid such threats and other vulnerabilities, initial stages of the web development cycle need to be taken care of.Thus, the main focus of this research paper is to come up with a framework that would help to strengthen the security of the various stages in the web development cycle. For the same, various modules and life cycles have been used.