bluuebunny/crossref_metadata_2025 huggingface dataset:
L2 cache performance analysis for MPSoC by tag – comparision
Authors: A Jenitha , R Elumalai
Published: March 2018

Memory systems in many applications are becoming increasingly large, contributing to many challenges in the memory management that has led to many method to manage memory. The tag comparison consumes large amount of cache energy. Current methods provide tag comparison cache or failure of the expected cache. Here is proposed an idea based on new call Comparing Tag stages, filter bloom is presented to improve the efficiency of the cache to predict failure and partial tag comparison for the cold line of verification and full comparison check for direct labels. Moreover, the administration of the cache that is filled with cache lines occurs when there is a cache miss. Today's embedded applications use MPSoC. The  MPSoC consists of the following ie more than one  processors, shared memory among the processors available and a global  off-chip memory. Planning of the activities of an integrated application processor and memory partition between processors are two main critical problem. Here, for an integrated application, both task scheduling and partitioning the integrated available L2 cache to reduce the runtime approach is used.
Survey of rice seed quality analysis for varietal purity estimation by using image processing techniques
Authors: Durai S. , Mahesh C. , Sujithra T. , Suresh A.
Published: March 2018

In south India rice is the major food source and in agriculture, rice production covers more than 70 percentages of entire forming. But in recent the production only from south India not enough to satisfy the need of all, such a huge demand is there. The better production comes from the selection of good seeds. Up to now formers depend on two factors for selecting better seeds, One is the brand which is approved by some quality standards and second one is analyzed manually by experienced people. Both are risky one, we are not pretty much sure the accuracy of analyze. The second one is seeing and feeling. The inspection is not consistent also very time consuming. In the other way we can use computer vision technology to analyze the quality of the seeds. In recent years many of the big industries they are using computer vision technology with Digital Image Processing for many of the applications. In this Paper we are going to discuss the different seed quality analyzing methods and accuracy of result also. Moreover there are different factors and features are there for it, here we are going to study about varietal purity estimation by different methods.
Vitality and peripatetic sustain cluster key management schemes in MANET
Authors: Thylashri S. , Femi D. , Alex David S. , Suresh A.
Published: March 2018

A mobile Ad Hoc network (MANET) is aself-configuring, structure-less network of devices connected wirelessly. The disseminated nature of MANETs signifiesaunrivaledresponsibility to security architects. Key management is essential part of securitythis issue is considerably greater in MANETs. In view of dynamic nature of MANETs, when a node leaves or goes along with it have to produce new session key to hold forward and backward secrecy. Our proposed scheme focus in: 1) Cluster establishment 2) Link consistency 3) Cluster key Generation. The individual node residences are proven andthe nodes are ordered into clusters totally on their transmission series. Utilizing this, an advanced technique is invoked for the cluster head determination and cluster development. The proposedscheme saves time and vitality for common cluster updations and key updations. . To prevent the non-group memberships from deciphering the information, complicated key called Group Key is being created. The confidentiality of the Group key is being maintained. Group key evadethe issue of authentications and third partyparticipation. Recurrent updations, the chance of key hacking and replacing certificates are being decreased. The outcomes demonstrate that the throughput, existence time of the nodes, link consistency is expanded with least utilization of vitality. Our proposed scheme additionally reduces overhead, end-end delay and packet loss. The quantity of key updations is being reduced in our proposed framework and link consistency is retained.
Data mining in personalized service of digital library
Authors: G Nivedhitha , N Rupavathy
Published: March 2018

With the deepening of information engineering, people face increasing amounts of information resources and also the demand of information is more and more. The digital library is a wealth of information resources. Affording readers a richer layer of personalized service is a new objective for the growth of these digital libraries. The data mining techniques to elicit useful information from a bunch of clutter information, in parliamentary procedure to provide efficient technical support for personalized services of digital libraries. The feasibility of information mining technology in digital libraries is analyzed in this paper. It also discusses the information mining technology in the digital library applications and the feasibility analysis for the data mining applications in digital libraries.
Fault detection technique for test cases in software engineering
Authors: Singh Jagatjot , Sharma Sumit
Published: March 2018

The processing of software and performing various operations on it is known as a software engineering process. The application of test cases for detecting the faults within the software is done through the testing process. There are various types of faults that occur within a software or test case which are to be identified and preventive approaches are to be applied to prevent them. In this paper, the Learn-to-rank algorithm is utilized which helps in detecting the faults from the software. The Back-Propagation technique is included with the LRA approach for enhancing its performance and improving the detection of fault rate. 10 test cases of different types are used for running various experiments and the MATLAB tool is utilized for performing various simulations. It is seen through the various simulation results that the fault detection rate is increased as well as the execution time is minimized with the help of this approach.
Linear programming technique based optimal relay coordination in a radial distribution system
Authors: Nagesh Kumar G. V. , Sravana Kumar B. , Venkateswara Rao B. , Sobhan P. V. S. , Appala Naidu K.
Published: March 2018

Now-a-days to ensure power continuity and system’s reliability the protection system is to be designed properly for distribution systems to handle the faults to avoiding the damage to the equipments and to the service engineers. Different types of relays with different working principles are used to detect different types of faults in the system. In order to avoid mal operation of relays, proper coordination is to be carried out. The objective of this paper is to maintain the relay coordination as well as to decrease the working time of relays by optimizing the values of time dial setting (TDS) using linear programming problem technique (LPP). The inequality constraints guarantee the coordination margin for each primary or backup relay pairs having a fault very close to the primary relay. Simulation is carried out on a IEEE 15 bus balanced radial distribution system with 3 different types of relays namely standard inverse, extremely inverse and very inverse relay and the results are presented and analyzed.
A Novel Five Phase DSTATCOM for Industrial Loads
Authors: Prasad Rao K. P. , Varma P Srinivasa
Published: March 2018

Now-a-days most of the industries want to earn more profit. It is possible with Five Phase Induction Machines. It attains the more efficiency because of its five phase winding arrangement. These machines are specially design for industries. Making the conversion of five phase supply from three phase supply with the help of transformer scheme which is specially designed. Generally, power quality problem like voltage sag occurs because of sudden changes in loads. In this paper, as a remedy, five phase DSTATCOM (Distribution Static Compensator) with PWM technique is opted to mitigate the voltage sag as power quality problem by injecting the currents in to the system. The MATLAB simulation results represent the effectiveness of five phase DSTATCOM with PWM technique.
XRTSDIC: model transformation from PIM to PSM
Authors: Ramesh G
Published: March 2018

Computer Aided Software Engineering (CASE) has been growing faster in software industry. As part of it Model Driven Engineering (MDE) has been around for focusing on models and transforming them from one model to other model. The tool named Extensible Real Time Software Design Inconsistency Checker (XRTSDIC) proposed by us in previous paper supports UML modelling, design inconsistency checking and model transformation from UML to ERD to SQL. In this paper it is extended further to facilitate model transformation from PIM (UML class diagram) to PSM (source code). We proposed an algorithm and defined model transformation and consistency rules. The extended framework has provision for class relationship analysis and support for choosing different object oriented languages like C#, C++ and Java. While transforming the model, we used the concept of dialects. Dialect is the class with transformation functionality which has ability to adapt to syntax and semantics of chosen language. Different dialects are made available for different languages. Thus the proposed system is capable of transforming models and the prototype application we built and extended demonstrates the proof of concept. The empirical results revealed that the model transformation is consistent and accurate.
Classification of brain tumor types using multiclass kernel-based Hellinger decision method for HD-Tree and HD-Forest
Authors: Singh Nikita , Choudhary Naveen
Published: March 2018

Currently, the radiologist needs to distinguish the medical imaging with their multiple classes. In this paper, we work on several steps: segmented ROI, feature extraction of ROI and classification. In this work, we proposed a multiclass kernel based Hellinger decision method HD-Tree and HD-Forest for the classification of brain tumor classes with respect to classification time and accuracy. The calculated features like patient symptoms, centroid, shape, etc. are used in the classification scheme. Total 97 MRI brain tumor images (Astrocytoma (22), Ganglioglioma (6), Glioblastoma (23), Epidermoid (3), Mixed Glioma (5) and Meningnet (41)) were used for the experiment. The Experimental result shows that kernel-based Hellinger HD-Tree was found to be 96.50 % of accuracy and HD-Forest was found to be 99.9%. In this paper, we compare our proposed method LA-SVM method. LA-SVM was found to be 96% of accuracy. We can see that HD-forest gives the best accuracy result.
Rheological evaluation of local clay samples in central region Ghana for oil well drilling fluid formulation
Authors: Gomado Foster , Kobina Forson , Owusu Boadi Augustus , Awelisah Yussif Moro
Published: March 2018

The superb rheological features of bentonites makes them an excellent candidate in drilling operations. Its capacity of bentonite to swell and extend to a few times its unique volume gives it the gelling and viscosity controlling quality. The execution of clay or specifical bentonite as a great consistency controlling operator in drilling fluids largely depends on the great extent of its rheological conduct. Ghana as of late found oil and it has tossed a test to research to explore the utilization of local materials in the oil and gas operations. A rheological study was conducted on local clay samples from Ajumako, Saltpond and Winneba in the Central district of Ghana as a viscosifier in drilling muds. This will help to improve the local content of Ghana's oil and gas industry. Drilling muds were prepared from the samples in addition to a control mud using imported non-treated bentonite. The local clay samples were subjected rheological test where the flow behavior of the muds was determined by measuring the gel strength, plastic viscosity, and the yield point. The experimental values were compared to the API standards. It was revealed that the local clay had some potential features of bentonite and could be utilized as controlling operators in drilling fluids provided the clays are beneficiated to enhance their rheological properties. This novel tend to improve the local content in oil and gas industry in Ghana through the deployment of the local materials in oil and gas operations in the nation.
Experimental investigation on characteristics of algae biodiesel in a diesel engine
Authors: Naresh V. , Prabhakar S. , Annamalai K. , Naveenchandran P.
Published: March 2018

The study titled “Performance and Emission Studies on a 4 stroke Diesel Engine Using Methyl Ester of ALGAE Oil with EGR” involves detail investigation of characteristics (performance and emission] of Blends of Methyl Esters of ALGAE oil by varying the EGR control value (5 to 20%] using direct injection diesel engine.From the preceding studies on similar title it’s established that the release of NOX is higher in ALGAE based biodiesel.The focus of this study is about the NOX emission and how it can be reduced by using the cooled EGR.
Design and implementation of low power encoder incorporating adaptive modulation for multi user OFDM system
Authors: Jayaram K , C.Arun Dr
Published: March 2018

Wireless communication system is a key element in modern uninterupted data tramsnission and reception services. In this paper, multi user Orthogonal Frequency Division Multiplexing (OFDM) system is designed with low power encoder and adaptive modualtion architectures. The proposed multi user encoder architecture is designed in Verlog HDL and simulated in Modelsim simulator. Xilinx Project Navigator is used to evaluate the performance of the proposed architecture interms of power consumptions and hardware utilizations by implementing the architecture on different virtex processors.
ERP: framework based implementation - a case study
Authors: Mohammed Hussain K , Venkata Subramanian D , Thangakumar J , Pradeep Kumar K
Published: March 2018

ERP implementation projects are some of the most critical and complex project implementations. Most of the fortune organizations and institutions will adopt the large scale ERP to standardize their business needs and upgrade their IT systems on par with the current technologies. ERP is one of the solutions for managing Enterprises; Most of the ERPs are suitable for Manufacturing and IT industries. This research paper discusses the framework which helps to minimize the implementation of data conversion processes. Most of the organizations use the migration manually and involve a significant duration of time of many functional users; thus the work proposes the creation of data model templates and Smart Data Load Accelerator. The proposed work also helps to reduce the development time.
Computing with words using intuitionistic fuzzy logic programming
Authors: Kumar Dutta Ashit
Published: March 2018

Computing with words is the terminology to indicate a set of numbers and words.It is the base for natural language processing and computational theory of perceptions.It is the art to combine both human and machine perception and find a solution for the real world problems left unsolved due to improper mechanism.Animal voice interpreter, lie detector, driving a vehicle in heavy traffic, and natural language interpreter are the applications need to be automated for the next generation.The computational theory is a group of perceptions used to express propositions in a natural language.The concept of the research is to utilize intutionistic fuzzy logic to interpret perceptions to solve vague problems.The output of the research shows that the performance of proposed method is better than the existing methods.
Unconstrained handwriting recoganization basedon neural network using connectionist temporal classification token passing algorithm
Authors: Venkateswararao Pinagadi , Murugavalli S
Published: March 2018

Recognition of human handwriting which offers the new way to improve the computer interface with the human and this process is very much useful for documents.Keyword spotting refers the spontaneous recognition of handwritten text, letter, and scripts from historical hand written books and the procedure of recovering all instance of a known keyword from an article. With a specific end goal to choose new components this paper, propose "a repetitive neural system manually written acknowledgment framework" for watchword spotting.The watchword seeing is finished utilizing an adjustment of the connectionist temporat classification Token Passing calculation in coincidence with a repetitive neural system. The proposed watchword spotting technique for written by hand message utilizing neural system, with another adaptation of connectionist temporat classification Token Pass calculation with quick and reliable catchphrase spotting can be executed without utilizing any content line or portioning separate words.
Fabrication of floor cleaner using Wi-Fi module
Authors: Pugazhenthi N , Venkata Sai Reddy P , Akash Reddy M
Published: March 2018

There are a number of machines available now for floor cleaning. In that many, used for a specific purpose like mopping, vacuum cleaning and combination of both. But all these are operated manually with the help of humans. Nowadays, the technology has developed a lot and a new invention has come to overcome the existing model. Earlier, the moping and vacuum cleaner are combined with a single machine for cleaning the floor. This machine was big and operated manually with human with the continuous movement. But in this project, the movement with the machine was stopped and operated using Wi-Fi signal. With the help of circuit connections, this model was developed in a compact manner for floor cleaning. This floor cleaning machine was designed simply and can be handled very easily by everyone. This helps the people to clean the floor easily in every part of the area by sitting in a place. Here we used Arduino mega 2560 for controlling the working of this machine.
Integrated process for potassium sulfate and a mixture Of ammonium chloride/potassium sulfate salts production
Authors: Mubarak Yousef
Published: March 2018

Relatively pure and coarse crystalline potassium sulfate of about 52 wt % K2O content and almost chlorine free has been obtained by reacting commercial potassium chloride and commercial ammonium sulfate in a stirred tank reactor at moderately low temperature. To increase the yield of potassium sulfate to a reasonable value, an evaporation stage located between the reactor and the crystallizer is used. The main steps of the production process include dissolution, reaction, evaporation, crystallization, centrifuging, drying, and then cooling. It is found that the best operating parameters to produce potassium sulfate of good quality, quantity, and crystal size are 1:1 as KCl/ (NH4)2SO4 mole ratio, 60 ºC reaction temperature, 1 hour reaction time, about one third of the total water used in the dissolution step is to be evaporated, 10 ºC crystallization temperature, 1 hour crystallization time, and 160 and 60 rpm agitation speeds in the reactor and the crystallizer respectively. Applying these operating conditions, a potassium sulfate yield of about 78 % can be achieved. Also, a fully soluble complex salt as a mixture of ammonium chloride and potassium sulfate is obtained by further treatment of the mother liquor. Further concentration of the mother liquor by further water evaporation of about 40 wt % and then crystallization of the slurry at 25 oC can recover up to about 60 wt % of the remaining solid in the mother liquor as a complex salt. The total yield of potassium sulfate is found to be about 95 wt % and the whole value of the solid product obtained is about 79 wt %.
Sparse iterative covariance-based estimation approach for processing atmospheric radar data
Authors: C Raju , T Sreenivasulu Reddy
Published: March 2018

The Doppler estimation is an important problem for Mesosphere–Stratosphere–Troposphere (MST) Radar data for detection and estimation of the weather parameters like turbulence intensity, mean radial velocity, humidity, temperature, wind speed. For Doppler estimation, one has to compute the Power Spectral Density (PSD). Various parametric and nonparametric methods have been developed. Recently, a new category of spectrum estimation method called Sparse Iterative Covariance Based Estimation (SPICE) is also developed. SPICE is a robust, user parameter-free, high resolution, iterative and globally convergent estimation algorithm. In this paper, the simple gradient approach is used for minimization of the weighted covariance estimation analyzing the data collected from the Indian MST radar at Gadanki (13.5°N, 79.2°E). The same method is applied for radar data to estimate the power spectrum and Doppler frequency. The zonal (U), meridional (V), wind speed (W) are calculated and the results have been validated using simultaneous Global Positioning System (GPS) Sonde data.
Smart home based security system for door access control using smart phone
Authors: Marrapu Satvika , Sanakkayala Satyanarayana , Vempalli Arun kumar , Jayavarapu Sai Krishna
Published: March 2018

The system is regarding the remotely overseen Door availability and voice alarming with the help of Smart Phone. It captures the guest picture at the Door as Email caution. Use of Smart home security control framework became essential in our day to day life. This paper describes the outline of an advanced home security framework. In this method the door availability has been controlled based on guest character by considering the human movement location and remotely checking innovation. This paper describes the remote control framework execution and organization and allows the validated individuals in to a home as it were. This Security Framework can be implemented by using switch/calling bell and a Camera module. The camera module captures the pictures of the guest separately and ideally to make the home security framework alive on demand. In this method we used an Electromagnetic entryway bolt module which created the entryway availability. This proposed framework deploys a controller interface framework and LPC 2148. If a guest press calling bell at the door then the web Camera module is interfaced with switch to capture pictures and send these pictures as Email caution with the help of TCP/IP protocol. Now, we can control this home security system by seeing camera module video stream with the help of Smart cell Phone. Like this, the proposed home security framework allows us for sending an order as a reply of voice ready whenever the gatecrasher recognized using smart phone. By using android stage and improved JavaScript, the Clients can see the guest on the screen and able to control the entryway by locking or unlocking the door. This software can be used in a wide range of application where the physical nearness can't be possible forever i. e in territories. The entire control framework is implemented with LPC 2148 now a days usage of smart lock system is increasing day by day in wide range of applications. This efficient effort less low power calling bell based home lock system is essential for security purpose in every home and offices. So many nations are worked on home based locking frame work to implement advanced technologies in it. Most of smart houses and business offices are associated with a chip for security purpose. Though numerous advancements take place, the clients face troubles i. e interface problems in utilizing this smart lock system. To avoid such type of issues i proposed microcontroller. This advanced home security system is useful for real time home environment.
Underwater channel design for diver communication
Authors: N Reshma , Ramesh T K
Published: March 2018

Underwater channels are usually considered to be very difficult media for communication purposes. There are many reasons that pull back us from considering these types of channels for communication purposes. Limited bandwidth, Doppler effect, multipath propagation etc are some of those reasons. These reasons limit the usage of underwater channel for wide range of applications.Optical waves, RF waves and acoustic waves are generally used. Among the methods, acoustic waves are used in most of the cases since less attenuation and scattering properties are offered by acoustic waves. There are many acoustic channel models existing but require some improvisations according to the diving application. An efficient acoustic underwater channel for diver communication is designed and implemented in this paper. Rayleigh channel model is considered in our algorithm that can deal with multipath propagation and Doppler effect with underwater specifications incorporated to it.This method gives a better result compared to OFDM and MIMO models. Further, a comparison between different modulation techniques like ASK, BPSK and QAM have been done. Results show QAM is a better modulation scheme for underwater environment.
Study on effect of colloidal Nano silica blended con-crete under compression
Authors: Reddy Avuthu Narender , Meena T
Published: March 2018

Ternary Blended Concrete (TBC) with Nano-Silica (NS) is receiving special attention because of its ability to improve the performance of concrete as compared with the control concrete. The present investigation deals about the behavior of TBC produced, using Fly Ash (FA) and Alccofine (ALC) as a partial replacement for cement along with four different types of colloidal NS (CemSynXLP, CemSynXTX, CemSynXFX, CemSynXTXla) as additives. The compressive strength of M30 grade of TBC was tested after 7, 14 and 28 days of curing. From the study, it has been found that the TBC mix with 25% replacement for cement (FA at 15% and ALC at 10%) and with addition of 1% CemSynXTXla type of NS as an additive has achieved higher strength than all other types of TBC mixes.
Evaluation of admixture effect on strength and durability properties of concrete - a critical review
Authors: V Mahesh , Chemalapati Hemalatha , A Vani , Dandagala Sreenivasulu
Published: March 2018

The present paper is focused on the study of admixture effect on strength and durability properties of concrete. In this study selected admixtures bentonite clay, coconut shell, cow dung ash, crushed rubber, egg shell, glass powder, groundnut shells, rich husk, stone dust, sugar bagasse etc., research papers has been reviewed. Inspite of several usage of waste, presently millions of tons are produced every year and remain unused all around the world and causes serious environment problems. Utilization of waste products all over the world has become challenging task for civil engineers. High costs of cements are not economical for all the types of construction works. Therefore, it is necessary to utilize the locally available materials for improving the properties of concrete in the field of construction industry. The usage of different waste material for the improvement of concrete properties has drawn much attention to the researchers. Moreover, several researchers were made an investigation on laboratory tests on partial and fully replacement of cement, sand, aggregate in concrete and various properties like workability, compressive strength, and density are studied. Based on the research work carried out several researchers we can conclude that the utilization of different usage of waste material as resources and prevents environmental pollution. It is also observed that waste materials can be used as an alternate material for the better improvement of strength and durability properties of concrete.
Durability properties of ternary blended geopolymer concrete under ambient curing
Authors: Ramujee Kolli , Sai Prasad Karnatakam , Narendra Kumar B
Published: March 2018

The present paper is an attempt to explore the durability properties of ternary blended geopolymer concrete incorporating fly ash, GGBS, wollastonite as appendage of strength parameters. The Large scale production of cement is triggering environmental problems. This has made the researchers to prefer supplementary cementatious material in fabricating concrete. Fly ash [1], GGBS is a waste material produced by industries used as binder material to way towards the waste utilization. Wollastonite, a naturally occurring mineral can be exploited in geopolymer concrete as a partial replacement of fly ash. G40 grade of geopolymer concrete is used in this study and mix design was built accordingly by replacing fly ash by the combinations of wollastonite and GGBS with suitable alkaline solution and Superplasticizer. A constant 50% of fly ash was used for all the mixes and rest 50% with the combinations of 15%,35%; 25%, 25%; 35%,15% of wollastonite and GGBS respectively .In this present experimental work durability tests (mass loss tests) like resistance to sulphateattack, chloride attack; sorptivity, abrasion resistance were explored for plain mix and optimal mix, which was extracted from previous experimental work of compressive strength properties of ternary blended geopolymer concrete.
Comparing is code specified flexural strength of concrete with split tensile strength by conducting test on cubes
Authors: M Usha , Poluraju P
Published: March 2018

The present study aims at investigating the Code IS 456 specified flexure strengths of concrete. This investigation involved carrying out a split tensile test on cubes. The design mix calculations for M20, M25, M30, M40, M50 and M60 were done. Steel fibers were used to improve the resistance of fracture and tensile strength of concrete by its volume percentage of 1%, 2% and 3% for all the grades. The testwas carried out on the universal testing machine using billets to apply point load on exactly mid of the cube. It was observed that the code specified flexure strength is a conservative estimate.
Triangulation grids and hierarchical structures of the models in calculation of LED modules
Authors: Vitaly Baynev , Sergej Fedosin
Published: March 2018

The paper considers the problem of designing modern lighting devices and optical systems. Analysis of the development of lighting devices shows that the main stage in their development is the calculation of the optical system. The results of this calculation largely determine the lighting and functional characteristics of light devices. The efficiency of existing methods of calculation are not always satisfied of the development. Application and development of specialized software for the calculation and simulation of light devices significantly facilitates and speeds up the process of their design. The paper presents a mathematical model developed by the software system, described in the hierarchical structure of the simulation geometry LED modules and light devices. Light device in a hierarchical structure represented by the root element of the tree, where the housing, the optical system, a light source, protective glass, suspension assembly, and others are nodes. The affine transformation using to calculate of the absolute position of nodes. The geometry of the nodes is modeled using triangulation grids. To simulate smooth surfaces in a triangulated mesh introduced an additional element - the rib. The software package is carried out modeling of LED optical systems and luminaires based on them using surface models, ray tracing and calculation of photometric body.
Slant Path Ka-Band rain attenuation statistics in equatorial Malaysia obtained using stratiform convective-synthetic storm technique
Authors: M. Yunus M , Din J , L. Jong S , Y. Lam H
Published: March 2018

In the design of satellite communication link, rain attenuation statistics is essential information for system designer to realistically determine link availability and provide means to combat system degradation. Due to the limitation of available measured data in equatorial regions especially for high frequencies (Ka-band and above), the prediction model is the best way to obtain rain attenuation statistics. This paper presents statistical analysis of rain attenuation at Ka-band by applying the Stratiform Convective-Synthetic Storm Technique (SC-SST) model taking advantage from local weather features from rain rate time series. The study on seasonal and diurnal variability is also presented in this paper to provide good insight in the design and implementation of fade margin.
Model-based compressed sensing algorithms for MIMO- OFDM channel estimation
Authors: N. Jayanthi P , Ravishankar S
Published: March 2018

High data rates on the wireless channel can be achieved by combining orthogonal frequency division multiplexing (OFDM) with multiple input multiple output (MIMO) communication modulation scheme. MIMO-OFDM system impulse response of the channel is approximately sparse. Sparse channelestimation can be done using Compressive Sensing (CS) techniques. In this paper, a low complexity model based CoSaMp Compressive Sensing (CS) algorithm with conventional tools namely Least Square (LS) and Least Mean Square (LMS) are used for MIMO-OFDM channel estimation. Simulation results show amodel based CoSaMP for MIMO-OFDM channel estimation with LMS tool the Normalized Mean Square Error(NMSE)reduced by 34%with very reduced complexity.
Human intention detection with facial expressions using video analytics
Authors: Prema K , Leema Priyadharshini L , Shyamala Kumari C , Florence S
Published: March 2018

The manuscript should contain an abstract. The abstract should be self-contained and citation-free and should not exceed 200 words. The abstract should state the purpose, approach, results and conclusions of the work.The author should assume that the reader has some knowledge of the subject but has not read the paper. Thus, the abstract should be intelligible and complete in it-self (no numerical references); it should not cite figures, tables, or sections of the paper. The abstract should be written using third person instead of first person.
Hybrid Nature-inspired algorithm for efferent cloud resource utilization
Authors: . Monika , Jaglan Vivek , Kumar Jugnesh , Agrawal Akshat
Published: March 2018

Cloud computing has come up as a standout amongst the most encouraging &reliable advancements in the IT part. However by and by there exists a noteworthy issue of load adjusting in the distributed computing condition. This paper comprises of an answer for streamlining the heap utilizing hereditary calculation. Hereditary calculation which takes after the transformative system can build up an answer near ideal arrangement. The proposed calculation is produced by consolidating two existing calculations by considering cost an incentive as the wellness work. The workload is adjusted by the considering the mix of both the heap rate and cost estimation of the assets. Allotment of assets is performed by taking the best fit esteem and lessening the reaction time and general cost. Reenactment comes about are indicated utilizing the cloud examiner test system.
Design, development and deployment of a RSSI based wireless network for post disaster management
Authors: Kaundal Vivek , Sharma Paawan , Prateek Manish , Chowdary Vinay
Published: March 2018

The wide spectrum of applications of wireless sensor networks in real time monitoring of disaster prone areas makes it very promising and reliable. The present work focuses on communication link establishment for the first 72 hours just after disaster, highlighting the capability of wireless sensor network especially in disaster prone area. The complete network consisting of 8 wireless nodes with integrated Xbee as a sensor to establish a communication link in between the pursuit team and trapped people. The network is deployed in Dunga Valley of Dehradun, Uttarakhand, a seismic zone with a population of more than 1 lakh. The nodes are capable of recognizing the traveler’s location whenever they are passing by the disaster prone areas. The nodes gather RSSI values along with the estimated distances of the traveler (having anchor node) from the pursuit team (having pursuit node). The system has proven its validity by tracking the trapped people in communication deprived area in Dunga Valley by doing mock drill several times. The paper reports the design of wireless network as well as deployment aspects of the nodes in such disaster prone areas.
Novel optimization using hierarchical Path finding A* (HPA*) algorithm for strategic gaming setup
Authors: Zafar Aqsa , Kant Agrawal Krishna
Published: March 2018

In game Industry, the most trending research area is shortest path finding. There are many video games are present who are facing the problem of path finding and there is various algorithms are present to solve this problem. In this paper brief introduction is given in the most using algorithm for path finding and A* algorithm has been proved the best algorithm for resolving the problem of shortest path finding in games. It provides the optimal solution for path finding as compare to other search algorithm. At the start of the paper, brief introduction about the path finding is given. Then the reviews of different search algorithm are presented on the basis of path finding. After that information of A* algorithm and optimization techniques are described. In the last, application and examples how the path finding techniques are used in the game is addressed and future work and conclusion are drawn.
Applications of neural network based methods on stock market prediction: survey
Authors: Mohapatra Avilasa , Rekha Das Smruti , Das Kaberi , Mishra Debahuti
Published: March 2018

Financial forecasting is one of the domineering fields of research, where investor’s money is at stake due to the rise or fall of the stock prices which unpredictable and fluctuating. Basically as the demand for stock markets has been rising at an unprecedented rate so its prediction becomes all the more exciting and challenging. Prediction of the forthcoming stock prices mostly Artificial Neural Network (ANN) based models are taken into account. The other models such as Bio-inspired Computing, Fuzzy network model etc., considering statistical measures, technical indicators and fundamental indicators are also explored by the researchers in the field of financial application. Ann’s development has led the investors for hoping the best prediction because networks included great capability of machine learning such as classification and prediction. Most optimization techniques are being used for training the weights of prediction models. Currently, various models of ANN-based stock price prediction have been presented and successfully being carried to many fields of Financial Engineering. This survey aims to study the mostly used ANN and related representations on Stock Market Prediction and make a proportional analysis between them.
Tracking of pendulum using particle filter with residual resampling
Authors: Hiranmayi Penumarty , Sai Gowtham Kola , Koteswara Rao S , Gopi Tilak V
Published: March 2018

The phenomenon of simple harmonic motion is more vigilantly explained using a simple pendulum. The angular motion of a pendulum is linear in nature. But the analysis of the motion along the horizontal direction is non-linear. To estimate this, several algorithms like the Kalman filter, Extended Kalman Filter etc. are adopted. Here in this paper, Particle filter is chosen which is a method to form Monte Carlo approximations to the solutions of Bayesian filtering equations. Sequential importance resampling based Particle filters are used where the filtering distributions are multi-nodal or consist of discrete state components since under these circumstances the Bayesian approximations do not always work well.
User behavior analysis on agriculture mining system
Authors: Sridevi S , Bindu Prathyusha M , V.S.J.Krishna Teja P
Published: March 2018

India being a horticulture nation yet utilizing conventional methods in agriculture. Right now suggestions for farmers depend upon the coordination among farmers and distinctive specialists. Proposed suggestions generally given to them by using past farming exercises with help of their knowledge and experience to give advanced outcomes. The proposed idea is the utilization of mining techniques in agriculture to give best suggestions to farmers for crops, crop rotation, prices of crops, quality of seeds and recognizable proofs of needed fertilizer. The system can be utilized by farmers as an application both on web and mobile. It is an advanced cultivating method that utilizes  investigate information of soil qualities, soil types, crop yield information gathering and recommends the farmers to quality harvest in light of their site specific parameters. This diminishes the wrong decision on a harvest and increase in efficiency. With the progress of this rural modernization, agriculture site was progressively turning into a noteworthy instrument for farmers getting data about existence and generation. Step by step instructions to make the examination of the requirements of farmers viable to help them to discover the data assets of the Internet they were occupied with had turned into a dire and vital issue. It was vital hugeness in enhancing the structure and substance of agribusiness site, which could give better administrations to farmers and also enhance the level of modernization of horticultural generation.
Smart Restaurants
Authors: . Vamseekrishna , Paruchuru Jyothshnasri A , Aiswarya Vuddagiri , Sameer Shaik
Published: March 2018

Conventional strategy that is utilized usually in hotels/restaurants is by taking the client's requests and recording it on a bit of paper and afterward giving the request in the kitchen area .The nourishment requesting framework is proposed with the utilization of a handheld gadget set on each table which is utilized to make a request at the eatery. The framework utilizes a push buttons in addition to show module which is put on every client table for them to make orders. Request is made by choosing the things showed on the mobile App. The request will be sent from the client segment utilizing ZigBee correspondence, and consequently will be shown on a screen at the kitchen. The bill will be shown with table number at the administrator/charging area. The task will lessen the time spent on making the requests and paying the bills, whereby the cost and labor likewise can be diminished.
Performance evaluation of vanets using wireshark
Authors: Ahmed Shakeel , V.K. Ramesh N
Published: March 2018

Vehicular Adhoc Networks (VANETs) have become a hot area of research and development since few years. It is actually a subclass of Mobile Adhoc Networks (MANETs) where each node is a vehicle and when the nodes come in the communication range of each other, they form a network. In VANETs, Vehicle to Vehicle(V2V) and Vehicle to Infrastructure(V2I) communication takes place where nodes themselves acts as servers and /or clients for sharing & exchanging of information. VANETs find applications in road safety also have the potential to improve traffic efficiency and convenience by communicating with peer vehicles and roadside units. As the nodes move with high speed, the topology is dynamically varying and designing a routing protocol for such a dynamically varying network is a challenge. Also other challenges of VANETs are security, connectivity among vehicles, cross layer design issues, mobility & validation.In this paper, a VANET scenario is simulated using Wireshark Simulator in IEEE 802.16e (WiMAX) and IEEE 802.11p (WAVE) environment and the performance evaluation parameters like packet loss ratio and throughput. The simulation results are performed by scaling the network size using both the environments i.e., WiMax and WAVE and the results are evaluated by comparing throughput and packet loss ratio. WiMAX outperforms WAVE in a VANET environment in a big network
IoT based reconfigurable smart city architecture
Authors: Geetha Pratyusha M , Misra Yogesh , Anil Kumar M
Published: March 2018

Now-a-days Internet of Things is deployed almost in every application regarding smart cities and have been initiated to develop all over the world. Smart Devices are being geared up to ease human life. Due to the growth in Internet of Things technology, smart cities are been developedwith this technology to work with the issues of public as well as private. The aim of the article is to enhance a solution to the problems in the smart cities with latest IoT architecture, protocols and services. With the technical support of IoT, using low power Wireless Sensor Networks (WSN) which is connected to transfer the data from M2M applications. In addition to the IoT, intelligent features are integrated with the help of Computer vision makes the technology more flexible. The goal of this article is to engrave the services to challenge the real time environment with low power synthesis technique. Only then, the smart city features are improved and serves the mankind with IoT technology.
Smart garbage collection management system
Authors: Gaddam Mounica , Dileep Thatha Venkata , Ravi Kavuluri Srinivas , Krishna Popuri Gopi
Published: March 2018

Waste management is necessary in today's world because, with the growing population, waste generated by the human is also increasing. Million Tons of waste is being produced by the people all over the world every day. If waste is not properly disposed off, it may lead to huge health issues and it may have adverse effects on our environment also. Among all, waste collection and transportation are one of the costliest stages in solid waste management. As the truck driver must go to each bin every single day and check whether the bin is full or not. If the bin is not full, it is not only waste of time but also wastes of fuel for truck and it also increases pollution due to smoke released from trucks, needs more men for checking all the bins in different routes. In this paper, we are going to propose a smart solution for this problem using the Internet of Things. We use an ultrasonic sensor to measure the size of the bin, and raspberry pi to process the information further. This sensor data will be sent to the cloud using Wi-Fi module of raspberry pi, from the cloud the data is sent to android app. When the trash inside the bin crosses the certain threshold level, that bin and its location are shown in the App using google maps, and the current location of the truck driver is detected, and shortest path is shown. By this the garbage bins can be emptied before the dustbin overflow.
Intelligent vehicle black box using IoT
Authors: Anil Kumar M , Venkata Suman M , Misra Yogesh , Geetha Pratyusha M
Published: March 2018

Millions of people die due to the accidents.The main purpose of this paper is to provide vehicle safety and a solution that automatically alert the driver to be cautious. In this paper we continuously monitor the vehicle performance using sensors and the behavior of driver with the use of IoT Technology.The Vehicle black box receives the information from various sensors like the breath analyzer, acceleration and the distance of surrounding vehicles along with push and panic button. When the driver alcohol consumption reaches maximum limit, the messages are sent to emergency contacts. If the accident occurs, by using GSM and GPS the vehicle location is traced and the information is sent to local hospital and police.With the IoT Technology, this location is always traced in the cloud platform service.The push and panic button is used to alert the 24/7 Governance to call out for emergency help.