bluuebunny/crossref_metadata_2025 huggingface dataset:
Statistical Verification of Numerical Weather Prediction (NWP) for Rainfall Estimation in the East Coast Region
Authors: Ashra M. Ashri Aisar , Tahir Wardah , Syahira M. Harmay Nurul , Shafeenar A. Mohtar Intan , Osman Sazali , Hazdy Azad Wan Abdul Majid Wan
Published: July 2018

Intense hydrological event such as floods are increasing lately especially in Peninsular Malaysia. Therefore, it is important to forecast the intense rainfall as part of flood preparedness and mitigation measures. In this study, Numerical Weather Prediction (NWP) model precipitation outputs using Weather Research and Forecasting (WRF) with horizontal resolution of 3 km have been validated against observed rainfall data measurements for its performance measurement. Forecasted rainfall event data of three (3) states in the East Coast Region; Kelantan, Terengganu and Pahang were evaluated and compared with the observed rainfall data before statistically verifying their accuracy using False Alarm Ratio (FAR) and Probability of Detection (POD). The results indicate a very promising potential of the models in producing quantitative precipitation forecast (QPF) for flood forecasting purpose in Kelantan, Terengganu and Pahang. Since these three states, which are located in the East Coast region of Peninsular Malaysia experienced annual flood event, accurate forecast rainfall data can be used to improve forecast information for flood indicator.
Electrical insulation components reliability assessment and practical Bayesian estimation under a Log-Logistic model
Authors: Chiodo E , P. Di Noia L , Mottola F
Published: July 2018

This paper deals with the “physical reliability models” assessment and estimation for electrical insulation components. It is well known that the reliability model identification and estimation of most of the modern power system components, such as insulation components, may be better achieved, instead that using limited lifetime data, by the knowledge of the degradation mechanisms. Such mechanisms, which are responsible for component aging and failure, are indeed well established in the field of electrical insulation: this is also the case of the so called “Stress-Strength” models. In particular, the “Log-logistic” model, deduced by a suitable Weibull stress-strength probabilistic model, has found valid applications to the reliability assessment of the insulation components. In the framework of the estimation of such reliability model, a new Bayesian approach, based upon the “Odds Ratio” of the Log-logistic model is developed in this paper, based upon the properties that such information, being proportional to the reliability function, is available to the engineer on the basis of past data; moreover, being proportional to the Weibull scale parameter, allows to exploit known features of its conjugate prior Inverse Gamma distribution. Numerical examples and the results of extensive Monte Carlo simulations demonstrate the feasibility and efficiency of the proposed procedure.
Survey on Neuro-Fuzzy Based Single Phase Multi-Level Inverters Using FPGA
Authors: Ahamed Z Ameer , Jain Anuj
Published: July 2018

In the Power electronic converters harmonic reductions is the main issue which will affect the power factor which intern affects power quality. The multi-level inverters here studied the inverter switches strategy is controlled by FPGA technique and the space vectors are assigned using the NN strategy, a survey is made on different types of multi-level inverters which is controlled using FPGA and NN. In this paper a survey is done on Multi level inverters using different control techniques to know how far FPGA and NN is better in performance for power electronic applications.
Green SDN: Trends of Energy Conservation in Software Defined Network
Authors: Jeyasekar A , Nanda Siddharth , Uthra Annie
Published: July 2018

Because of the exponential growth of the data in the Internet, storing and computing the data become a challenging issue. Therefore the data center networks are used to provide the infrastructure for storing and computing the data. Most of the network devices present in the data center network is comparatively idle for most of the time and resulting in a waste of energy. To overcome it, the Software Defined Network is proposed which allows the administrators to manage the network devices using a centralized controller and enables programmable network devices. It optimizes the utilization of network resources efficiently and results in significant amount of energy saving. There are several approaches proposed for optimizing the energy in the Software Defined Network which takes a network towards green energy and lower carbon print. This paper presents a survey on energy conservation techniques used in the software defined networks which makes the networks more capable and productive. We also provide a brief comparison of possible energy conservation techniques and guidelines for future research.
Performance Analysis of Single and Multiple Channel FSO System under Turbulent Conditions Using Various Models
Authors: Sree Madhuri A , Venkata Narayana M , Immadi Govardhani.
Published: July 2018

Telecommunications occupying the major part of research across the world, has become a part and parcel of present day human’s life. As a part of research many new technologies emerged among which free space optics was found to be highly efficient and a competent technology. So, replacing the present microwave communications, in future free space optics provides many advantages like higher bandwidth, higher data rate (capable of sending up to 1.25 Gbps of data, voice, and video communications simultaneously through the air), low bit error rate and license free long-range communications etc. As a known fact that every coin has two sides, free space optics besides providing the above advantages also suffers from many range limiting factors like fog, beam dispersion, atmospheric absorption, rain attenuation, snow, terrestrial scintillation amongst which rain, scintillation and fog are popular in tropical regions like India. In this paper the effect of rain on FSO link is analysed in 1/1 and 4/4 channel cases and the results were analysed.
Experimental Investigation on the Mechanical and Microstructural Properties of Concrete with Agro-Waste
Authors: Godwin I Antony , Deborah S Nancy , Ponraj I Julius , Blessho R Vinslin , C Stephen
Published: July 2018

Due to ever-increasing disposal problems of agricultural wastes in developing countries have created opportunities for use of agricultural wastes in the construction industries. An attempt has been carried out by partial replacement of cement with areca-nut shell, fine aggregate with coconut shell powder by pulverizing it into ashes and coarse aggregate with oil palm shell9. Concrete specimens were cast and cured for 28 days, a detailed comparison is made with conventional concrete and concrete with agrowaste by testing the specimens to finding the mechanical and durability properties like compressive, tensile flexural and rapid chloride penetration test. From the experimental results, it is found that the combination comprising of 10% of areca nut ash (ASA), 5% of coconut shell charcoal powder (CSCP) and 5% of oil palm shell (OPS) shows desirable results in enhancing the properties of agro waste concrete. The detailedmicrostructural investigation has been done to find the reason for enhancing the mechanical properties of concrete with agro waste by using the Scanning Electron Microscope(SEM), Energy-dispersive X-ray spectroscopy(EDAX) and X-ray diffraction(XRD) methods.Due to the presence of CSH gel and Ca(OH)2in concrete with agro waste specimens which attributes the strength and other properties.
Framework Enhancement for Common Public Radio Interface in SBTS
Authors: V Anuradha , R Shankar
Published: July 2018

There is a rapid growth of mobile users so there are developing more number of features by a service provider to support more number of mobile users. The Common Public Radio Interface (CPRI) is an interface between the Radio Equipment Controller (REC) and Radio Equipment (RE) to support more number of users. This simplifies the overall architecture of radio base station. The radio base station is centralized and the radio heads are distributed in the environment. This radio heads supports the more number of users. The main aim of CPRI is to divide the packets into number of frames. The radio frame is divided into the hyper frames and this hyper frame is divided into the number of basic frame in which each basic frame is supported up to 16 words totally it supports up to 6,144 megabytes per second.
Parameter Based Efficient & Reliable Routing Technique to Enhance Network Lifetime for Vehicular Ad Hoc Networks
Authors: K S Asha , Hegde Rajeshwari
Published: July 2018

Some Inherent Vehicular Ad Hoc Networks (VANETs) characteristics such as intermittent connectivity, highly dynamic topology, and hard delay constraints, make data communication a challenging task in these networks. Due to such peculiarities, in this paper we study the impact of using vehicles predicted locations as a metric for data communication in VANETs. This paper deals with PBERR (Parameter Based Efficient Reliable Routing) for VANETs, which is a multilevel routing algorithm. The focus of this algorithm is 100% data transmission from end to end with no loss or drop of data packets by selecting the reliable path. The proposed algorithm will use the data of the digital maps to limit the scope of message exchanges in the shortest path for vehicles between source and destination. Our results clearly demonstrate the efﬁciency of the proposed solution in different scenarios, especially in terms of Network throughput, Energy consumption and Average delay.
Implementation of 6-DOF Biped Footstep Planning Under Different Terrain Conditions
Authors: Senthil Kumaran B , J.Jebasingh Kirubakaran S
Published: July 2018

Humanoid robots gain starting their anthropomorphic profile when functional in human-made environments. In direct to achieve human-like capabilities, robots must be able to recognize, understand and interrelate with the nearby world. We present the development of safe routing strategy for biped robots moving in difficulty untidy environments. In the near view, humanoids play a vital role in helping the mankind by performing the day today activities. Navigation of a humanoid under different terrain conditions such as flat, inclined and slippery environments is a challenge that requires a solution to use humanoids in the households. In this regard, in the planned paper work, a biped robot with 6-Degree of freedom has been designed and tested on the sloped and slippery surfaces, in addition to it, the ultrasonic sensors are used to identify the obstacles. Based on the obstacle identification, the biped path can be altered in order to evade impact within obstacle.
Strengthening of Brick Masonry with Welded Wire Mesh
Authors: Umamaheswari V , Kanchidurai S , A. Krishnan P , Baskar K
Published: July 2018

Unreinforced brickwork (URM) is the most established development method. URM being weak can't withstand the parallel burdens amid a seismic region. Consequently, it is important to locate an appropriate low-cost technique to fortify existing brickwork structures. In this paper flexural bond strength test was conducted on the rectangular brick masonry prisms with two types of welded wire meshes (epoxy coated mesh with the spacing of 12mm and galvanized iron wire mesh with the spacing of 15mm). Masonry prisms were cast and tested as per the guidelines are given in ASTM E518 /E518-15 standards. The results of the flexural bond strength embedded masonry prism show greater when comparing the prisms with no mesh embedment.
An Android & IoT based Health Care and Personal Monitoring Device
Authors: V.Deshpande Bhagyashree. , S Sannakki Sanjeev
Published: July 2018

The paper signifies the test to monitor the condition of diabetic patient’s breath which involves non invasive medical treatment or test which does not involve cutting of the body or not penetrating any instruments which are harmful. This one is identified as quick and user friendly technique which diagnosis the diabetic ketoacidosis [DKA]. Basically DKA is preventable complication type 1 diabetic mellitus. Usually diabetic are required to undergo the urinary and blood glucose test to monitor the diabetic condition. So these methods are expensive, inconvenient and harmful. Keeping these things in mind recently a new technique has been involved in terms which is making use of breath acetone that has been considered as a new ketone indicator which is non painful convenient and it reflects the level of ketone in the body .In this research we are providing a method to monitor the ketone level by using the measurement of breath. We are mainly focusing on easy handheld way for health care on monitoring the diabetic level with using the breath. We are using Internet of Things (IoT) system to provide the facility to the patients for diagnosis and self monitoring component which sense the breath ketone and help us to see the reading for further diabetic treatment
Utilization of Cow-dung Ash, Granite Powder and Marble Stone to Enhance Strength of Concrete
Authors: Arthika J , Venkatasubramanian C , Muthu D , P Asrani Neha , Gayathri R
Published: July 2018

The construction industry has been responsible for degrading the environment due to ecological imbalance caused during the extraction and production of building materials. To make this production of construction materials cleaner, the dependency on conventional materials has to be reduced. With this aim, this article presents an experimental study on partial replacement of cement, sand and aggregate by cowdung ash(CDA), granite powder(GP) and marble stone(MS) respectively. For this, four series of mix proportions were prepared to evaluate the compressive strength and the split tensile strength. Replacement ratios of the first, second, third and fourth mixes are (5%CDA, 10%GP, 15%MS), (5%CDA, 15%GP, 30%MS), (10%CDA, 15%GP, 30%MS), (5%CDA, 7.5%GP, 15%MS) respectively. Results revealed that the partial replacement of binders and fillers is effective to enhance compressive and split tensile strength of   concrete. This would enable the construction industry to reduce their dependency on river sand and natural coarse aggregate.
Factors Affecting Implementation of Green Supply Chain Management In Tech Manora Packing: a Case Study
Authors: Reddy Jagannath , . Jagadish , N Charanraj , M.N Praveen , D. Sai Rohith Y , Kumar. B Sathish
Published: July 2018

The concept of Green Supply Chain Management (GSCM) is achieving high level implication that can help to reduce the harmful effect of manufacturing activities on the environment. The prime objective is to identify the factors affecting implementation of green supply chain management in Tech Manora packing industry. The collection of data combined primary and secondary sources, the primary source of data is  approaching with industry expert by questionnaires. The secondary source of data that is published articles related to GSCM. This study exposed that the most prominent factors affecting implementation of green supply chain management in Tech Manora industry, including lack of knowledge, top management commitment, high cost investment, lack of Government support, lack of information Technology, lack of learning capacity to evaluate GSCM. Finally this study recommends that tech menorah packing industry and its partners should organize joint seminars and workshops to sensitize the staff and suppliers on the benefits of green supply chain management. Further this  study will help to the small scale industries to understand the factors affecting while implementation of GSCM.
Post Project Assessment of Risk in Construction Projects
Authors: Naveen N , Harshit Nadendla , Muthu D , Venkatasubramaniam C , Sharmila P
Published: July 2018

In these days construction projects are applied in risky and unstable environments results in a very high risk factors and unreliability. Risk assessment is a way to conclude the risks and quandary of the project executed and directs it with some actual solutions. In this field the top managements authority need to detect the value, phase, grade and status of the project. Since there is lot of different problems are intricate in construction and it is so hard to keep in existence of value, phase, grade and status as schedule. This paper recognizes the factors required in the projects of construction field and to predict the possibilities which are affects the construction and reduction calculations. The probable risk factors available in the post project and it is categorized the very little effects to huge effects has been composed by the questionnaire survey. And the outcomes were look over by the SPSS software. The acceptable guidance was afforded to make over the negative issues.
A Hybrid Approach for Test Case Prioritization using PSO Based on Software Quality Metrics
Authors: Senthil Kumar K , Muthukumaravel A
Published: July 2018

Effective functionality checking of any software application is the crucial event that determines the quality of outcome obtained.  Generally, checking scenarios that involves multiple test cases in mixture with multiple components is time consuming and also increases the quality assurance cost. Selection of suitable method/approach for optimization and prioritization of test cases as well as appropriate evaluation of the application would result in reduction of fault detection effort without appreciable information loss and further would also significantly decrease the clearing up cost. In the proposed method, test cases are optimized and then prioritized by Particle Swarm Optimization algorithm (PSO) and Improved Cuckoo Search algorithm (ICSA), respectively. Finally, the result will be evaluated for software quality measures.
Intrusion Detection on Software Defined Networking
Authors: Nagarjuna Reddy Tella , Annapurani Panaiyappan K
Published: July 2018

Software Defined Networking and programmability on network have established themselves as current trends in IT by bringing autonomous operation with dynamic flow to network. Networks must be programmable, and it must be aware of the application in order to operate autonomously. Networks need to evolve to catch up with the current trends without losing their current status and operation, reliability, robustness, or security, and without distorting current investments. SDN is a transpiring network architecture where network control plane is distinguished from data plane and by that the network is directly programmable. This control, was initially bound in every network devices, enabled in the network to be abstracted for applications and services. Security is a major challenge for organizational and campus networks. The future of Internet depends on virtualization which is to provide numerous networks hosted the same physical hardware. This proposal takes a great advantage of the programmability provided by SDN to utilize Intrusion Detection System.
Neural Network with Regression Algorithms for Optical Character Recognition
Authors: V.Vidhya J , Kumar Archit , Parakh Yashwardhan
Published: July 2018

In today's automatic and robust modern world, possibilities of optical character recognition is endless. Previously OCR was used in postal service to read address from mail, car number plate tracking, automation of bank check transfer but today it has taken document management system to whole new level. Using OCR we can convert normal hardcopy document into Searchable text. We will use deep Neural network to train systems to recognise characters in a precise manner, basically we have proposed neural network model combined with machine learning technique like gradientDescent, regression, softmax normalization which will help to increase the efficiency of the OCR. Computer will able to recognise hand written digit. We will be using Google's advanced TensorFlow to create an OCR system which will be efficient and robust in action.
Strength Characteristics of GGBS and Steel Slag based Binary Mix Concrete
Authors: K.Siddhartha K , Bhuvaneshwari P , Raja Mohan.K Saravana
Published: July 2018

The objective of this study is to experimentally study the effect of partial replacement of Portland cement and fine aggregate by the industrial wastes ground granulated blast furnace slag (GGBS) and steel slag (SS) respectively, on the various strength parameters of concrete. Totally 9 mixes were proposed according to ACI standards, with varying replacements of cement with 40%, 50% and 60% of GGBS and varying replacement of fine aggregate with steel slag by 10%, 20% and 30% weight of concrete. The compressive strength using cubes of size 100 mm x 100 mm x 100 mm and splitting tensile strength using cylinder of size 100 mm x 200 mm were found out for curing periods of 14 and 28 days respectively for all the mixes. Results were then compared with conventional concrete and the optimum replacement percentage of GGBS and steel slag is reported.
AROLOC: Advanced & Robust 3-D Localization in Wireless Sensor Networks
Authors: A V Kalpana , Rukmani Devi S , S Vinod
Published: July 2018

Over the past few years, tracking an object and finding a position is one of the day-to-day activities of our life. For finding the position and to tell that position is the accurate one, we need to rely on a novel localization method. Localization is nothing but a system that tells how to accurately find a position. The fundamental thought in most localization algorithm is that few nodes are inculcated with GPS, and are called as beacon nodes. Using the beacon nodes, other nodes localize themselves, which is a very basic concept in localization. The existing approaches tell that localization algorithm works based on finding out the accurate position in a 2-D environment even in the existence of malignant beacon nodes. Our aim is to suggest a new localization algorithm that is suitable for 3-D environment and that algorithm works even more efficiently in the presence of malignant beacon nodes which makes the system “robust”. The performance of the system is compared with other 3-D approaches used for localization.
Durability Characteristics of Ceramic Waste based Light Weight Concrete
Authors: S Madhumitha. , G Dhinakaran.
Published: July 2018

Ceramic waste powder (CWP) is one waste material produced during cutting of ceramic tiles. CWP is rich in silica and alumina and is a fine material. Due to generation of more such waste it is mandatory to make use such material effectively in construction industry to minimize the disposal problem and also to reduce production of cement. Use of such material will minimize the carbon foot print in production stage of concrete. LECA is a light weight expanded clay aggregate could be used as substitute to natural coarse aggregate which is energy intensive. In this study, CWP is partially substituted for cement and LECA is partially substituted for natural coarse aggregate. CWP was used from 10 to 30% and LECA was used from 20 to 40%. All the mix combinations were subjected to durability studies namely sorptivity and porosity to study the effectiveness of enhancement on the performance of admixed light weight concrete. All the tests are performed as per ASTM standards. The durability performance of admixed concrete with ceramic waste and LECA aggregate are compared with results of conventional concrete.
A Survey on Diagnosis of US Image Thyroid Nodules and Automated Classification
Authors: Khan A Mohsin , Jain Anuj
Published: July 2018

Different types of human diseases are detected by medical image analysis which plays an important role. Studies that are developed for automated thyroid cancer classification is reviewed in this paper, especially to analyze the benign and malignant thyroid nodules features and comparisons. Hypothyroidism, hyperthyroidism, goitre and thyroid nodules (benign/malignant) are thyroid disorders. Ultrasound imaging, CT, MR imaging, nuclear medicine (NM) with positron emission tomography (PET), single photon emission computed tomography (SPECT) are the different medical techniques used to identify and classify thyroid gland abnormalities. In order to enhance the diagnosis of thyroid disease, various image processing techniques applied to thyroid ultra sound images are reviewed here. Studies based on non-clinical features for thyroid nodules classification is also discussed and reviewed.
Analysis of Football Data on Twitter for Popularity Mapping and Transfer Predictions
Authors: Murali Raghav , Shrivastava Shikhar , Krishnan Sornalakshmi
Published: July 2018

Twitter has gathered a reputation of being a reliable source for predictive modeling on various domains such as flu trends, sports data, political trends etc. Football is widely considered to be the most popular sport in the world. We introduce a novel approach of analyzing the tweets collected over a period of time which are related to football. We present a visualized world map with the high density areas indicating the parts of the world where football is most popular. Further, we incorporate the fan opinions of popular football players by analyzing their tweets individually. This ultimately leads to prediction of player movements from his current club to another club in the transfer window. Hence, this model helps in identifying the popularity trends in football around the world and also increases the role fans play within the club they support.
Experimental Study on Functionally Graded Steel Fibre Reinforced Preplaced Aggregate Concrete
Authors: Prasad. K Ram , G Murali. , Kathirve Parthiban , M K Haridharan , K Karthikeyan.
Published: July 2018

This study examines compressive strength of this functionally graded steel fibre reinforced concrete (FGFRPAC). A five mixes were prepared and tested in the present study. The first series of FGFRPAC were prepared and reinforced in three layers of 3%, 1.5% and 3% with crimped, hooked end. The second series were reinforced with 2.5% steel fibre equally in all the three layers. The average amount of fibre used in FGFRPAC specimen was 2.5% which is similar to the fibre dosage used in the second series were the fibres are equally spread in all the three layers. The gathered results revealed that employing FGFRPAC leads to more enhancement in compressive strength than conventional steel fibre reinforced concrete.
A Prediction Algorithm to Reduce Queuing Time using Parallel Patient Treatment Methodology
Authors: . John , Mary Vivia , . Gunda , Reddy Rishik , . Mullapudi , . Aravind , . Yeleti , . Naveen
Published: July 2018

Inefficient management of the patients’ queues is one of the major issues faced in medical institutions like clinics and hospitals which end up in creating large crowds at the hospital lobbies and an extended waiting time in the patients’ treatments. Waiting unnecessarily for a long period of time, ends only in loss or wastage of time, human life and hospital resources. It also increases the number or frustrated patients that are waiting to get treatment required. Every single patient has to undergo a diagnosis and then be forwarded to other departments or medical personnel for further procedures. Therefore, each patient’s waiting time is the time taken by the system to diagnose all the patients before him/her in the queue. In such a condition, the most practical decision would be to give out an efficient treatment plan to each patient. This can be implemented as a mobile application, wherein a predictable waiting time according to the diagnosis of the patient is uploaded, which then updates itself in real-time. Taking this into consideration, this paper proposes a Patient Treatment Time Prediction (PTTP) algorithm that can predict the time taken by a procedure for a particular patient. This algorithm can be applied to real-world scenarios and can be implemented in a large-scale environment. After predicting a treatment time necessary, the Hospital Queuing Recommendation (HQR) system can be developed. The job of calculating and predicting a convenient and an efficient treatment time for a particular patient can be done by the HQR system. The necessary input data for this is taken from a real world scenario like an actual doctor estimating time for a procedure at a particular hospital. This algorithm and system should work hand-in-hand generating responses of the utmost efficiency and very low latency. Once the model goes through extensive experimentation and simulation, an efficient model that demonstrates the effectiveness of this system can be recommended to other hospitals or medical institutions thus reducing waiting time per patient.
A Comparative Study of Indian Food Image Classification Using K-Nearest-Neighbour and Support-Vector-Machines
Authors: C Pathanjali , E Salis Vimuktha , G Jalaja , A Latha
Published: July 2018

Food being the vital part of everyone’s lives, food detection and recognition becomes an interesting and challenging problem in computer vision and image processing. In this paper we mainly propose an automatic food detection system that detects and recognises varieties of Indian food. This paper uses a combined colour and shape features. The K-Nearest-Neighbour (KNN) and Support-Vector -Machine (SVM) classification models are used to classify the features. A comparative study on the performance of both the classification models is performed. The experimental result shows the higher efficiency of SVM classifier over KNN classifier.
Sonar Interface with FCS and Target Detection
Authors: V Asundi Ravindra , L Narayanan Anusha , B Archana , H A Ananya , Shrunga Divakara C
Published: July 2018

This paper presents a method to interface sound navigation and ranging(SONAR) with fire control system(FCS) and detection of targets. A submarine navigator keeps track of surrounding submarines and active targets such as torpedoes or mines and passive targets such as rocks, friend submarine or a ship, in order to have tactical information of its neighborhood. At present this is carried out manually by trained sonar operator. This task of classifying the object as either mines or rocks by training an artificial neural network using tensor flow framework, thereby giving the submarine (ship) system more autonomy.
Internet of Vehicles: Commencing Intellectual Hoarse Towards Self-Regulating Cars and Vehicular Clouds for Smart Transportation Structure [Vehicular Ad-Hoc Network: A Review and Application in the Internet of Vehicles]
Authors: Mishra Risabh , Safa M , Anand Aditya
Published: July 2018

Recent advances in wireless communication technologies and automobile industry have triggered a significant research interest in the field of Internet of Vehicles over the past few years.The advanced period of the Internet of Things is guiding the development of conventional Vehicular Networks to the Internet of Vehicles.In the days of Internet connectivity there is need to be in safe and problem-free environment.The Internet of Vehicles (IoV) is normally a mixing of three networks: an inter-vehicleNetwork, an intra-vehicle network, and a vehicle to vehicle network.Based on  idea of three networks combining into one, we define  Internet of Vehicles as a large-scale distributed system to wireless communication and information exchange between vehicle2X (X: vehicle, road, human and internet).It is a combined   network for supporting intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control, representation of an application of the Internet of Things (IoT) technology for intelligent transportation system (ITS).
Determination of Watershed Characteristics and Curve Number (CN) for Ponnaniyaru Dam Catchment Area
Authors: R Selvakumar , N Nasir , C R Suribabu
Published: July 2018

In SCS-CN method, curve number is significant parameter in estimating runoff from the catchment of the reservoir or inflow to the reservoir. As this curve number is function of several parameters like hydrological soil group, LULC, land treatment, hydrologic conditions and AMC, the selection of CN for prediction of inflow to the lake or reservoir is considered as a crucial in the hydrological studies. LULC, micro-watershed, drainage density, and catchment slope are obtained using spatial analysis and also SCS Curve Number value for Ponnaniyaru dam catchment area is derived from the LULC data. Further, CN value is evaluated from actual rainfall data and runoff volume collected at the reservoir. The study reveals the significant variation of CN value among each event. The present case study highlights the sensitiveness of CN value in the computation of runoff from the watershed. Keywords: Curve number, LULC, AMC, drainage density.
Efficient Attendance Management System Based on Facial Recognition
Authors: Choudhary Setu , Kakaji Aayush , Pranay Kusuma , Prabhu P
Published: July 2018

A Face recognition system is an application of computer vision which is capable of performing two major tasks identifying and verifying a person from  given data base. The objective of this paper is to design an effective attendance system which is based on facial recognition and intend to reduce the manual efforts of the teacher. In the conventional attendance system there are several issue like fake attendance, time consumption, manipulation of attendance. The algorithm used is named fisher face algorithm, which is already in use but it gives an accuracy of 5-6% and the amount of faces it can detect is comparatively less, Here we intend to use fisher face algorithm with the help of support vector machine(SVM). The system is trained with database faces.  The data gets updated in the portal which is accessed by the faculty and the students. This paper is a speculative model of attendance management system using facial recognition.
Fretting Analysis of Aluminium 6061 Reinforced With Graphene
Authors: M.R Srinivasa. , S Rammohan Y , Irfan Zahid
Published: July 2018

The application of Aluminium alloys becomes significant and most wide in the field of aviation industry. Aluminium 6061, because of its pro mechanical characteristics. Graphene is one of the allotropic forms of Carbon which is abundantly available in nature. The high tensile strength and low density of graphene is the added advantage as it is used as a reinforced material with Aluminium 6061.  Graphene was found to be a more suitable reinforcing material that improves tribological properties of metal. Composite materials are mixtures of various parent materials resulting in the formation of materials having a mix of varied desired properties like low weight, larger stiffness, higher specific strength etc. The composite materials so obtained invariably have superior properties to their parental ones. So these materials become a really enticing notice for higher strengthened material for industrial sector. This paper primarily focuses on distinctive effects of utilizing Graphene as reinforcement for Al-6061in the view of tribological characteristics. Graphene has outstanding mechanical and physical properties, creating it a perfect reinforcement material for lightweight weight and high strength metal matrix composites (MMC) like Al-6061. Fabrication, being a important step, because it controls the microstructure, that successively determines the properties of the material, was conducted by stir casting. Stir casting additionally helped within the dispersion of Graphene uniformly within the metal matrix composite. To analyze the effect of tribological parameters damage resistance of the metal matrix composite, linear reciprocating tribometer was used.
Intelligent Emergency Vehicle Preemption Using A Density Based System
Authors: Anirudh Voruganti , Neelaveni Ammal M , Suryatej Datla , V Satvik A
Published: July 2018

Transit by road is one of the crude methods of transportation in various parts of the world as of today. The abundance of vehicles utilizing the street is expanding in an ascending order consistently. Because to this reason, trafﬁc congestion in urban areas is becoming inescapable these days. The normal purpose behind trafﬁc blockage is because of poor trafﬁc prioritization, wherein a portion of the paths may have less trafﬁc than the others with measure up to signal light length for both the paths. This Inefﬁcient administration of trafﬁc leads to wastage of crucial time, contamination, wastage of fuel, expenditure of transportation and worry to drivers, and so on however more vitally emergency vehicles like rescue vehicle stall out in trafﬁc. Our project is on density based trafﬁc control with the need to prioritize vehicles like emergency vehicle and ﬁre brigade. In this way, it is especially important to plan a system to keep away from the setbacks. In this way counteracting mishaps, impacts, and trafﬁc jams.
Feasibility of Replacement of Cement with Copper Slag in Flyash Based Bricks
Authors: S Harish , S Karthik , Raja Mohan K Saravana
Published: July 2018

Cement manufacturing industry has been a great contributor to global warming which poses global threat. This novel paper investigates the possibilities of reducing the amount of cement used in a conventional flyash brick by replacing the cement with copper slag in various proportions to make way for substantial construction. Flyash bricks contribute less to global warming compared to chamber bricks, which involves lot of burning. Further substitution of cement with copper slag would significantly reduce its damage potential as copper slag itself is a by-product from copper manufacturing. A conventional flyash brick contains 5% of the entire mix as cement. This paper aims to replace the cement in flyash bricks in successive percentages of the entire mix i.e 1%, 2%, 3%, 4% and 5% with copper slag. The brick samples are then subjected to mechanical tests and durability tests as per IS 3495:1992 and IS 13757:1993. These data of the samples are compared with the normal flyash bricks to find the best proportion. The greatest advantage is the economic factor involved as 1kg of copper slag costs only 16% of that of cement, providing a greater scope for the implementation of this research in reality.
Simulation of Multipurpose Reservoir Operation with Hedging Rules
Authors: Sasireka K , R Neelakantan T , Suriyanarayanan S
Published: July 2018

Reservoir operation plays an important role in the economic development of a region. The storage reservoirs are not only useful for supplying water for municipal and irrigation purpose, but also act as a protection barrier form flood, and the stored water can be used for generation of electricity power as well. To meet the objectives for which the reservoir was planned, it is vital to formulate guidelines for the operation of reservoir. This can be achieved by systematic operation of the system, and by the use of systematic and simplified rule curve for the operation of reservoir. Hedging rules are popular in drinking and irrigation water supply. Application of hedging is now gaining focus for hydropower power reservoir operation. In the present study, attempt has been made to formulate a new operating rule for multipurpose reservoir using hedging rules and the developed model was applied to a case study of Bargi reservoir in the Narmada basin in India. In order to increase the reliability of water supply for municipal, irrigation and average annual power production, the new operating rule has been developed using Standard Operation Policy (SOP) and hedging rule according to the priority of release for different purposes. The hedging rule based simulation model satisfies 97.5% of municipal water supply which is more than 8.25% of the present operational policy. The spill of the reservoir is decreased by 57 % compared to present policy. The performances of different hedging rules were compared with that of a new standard operating policies and the superiority of the hedging rules are discussed in this paper.
Stock Market Price Forecasting by Using Deep Learning
Authors: Reddy Madhusudan , Gade Arun , . Sreekarreddy , Prabhu P
Published: July 2018

Stock market forecasts are an attempt to determine the future value of corporate capital or other financial products consumed in the stock market. If the future stock price forecast succeeds, you can gain great profit. The efficient market presents all the current stock price information, which shows that price fluctuations are not the basis for unnecessary new information. Others disagree that people who have these ideas have many methods and techniques to help them get future information. [1]
ECG Measurements to Emphasize Atrial Potentials Using Modified Limb Lead System
Authors: K Manikandan , K Mohanasundaram
Published: July 2018

With the advancement in the field of Electrocardiology (ECG), the acquisition of electrical activity of the heart plays an important role in the diagnosis of various cardiovascular diseases. In general, this activity of conduction is acquired using Standard 12 Lead ECG system. Recently, a Modified Limb Lead system has been developed to study the atrial electrical activity for the diagnosis of atrial arrhythmias. The present study is to derive the normal limits of female subjects using Modified Limb Lead (MLL) system. This study was evaluated in 59 female subjects 19.52 ± 1 (Mean ± S.D) and is primarily involved to study atrial potentials with the use of precordial and modified limb lead position. In sinus rhythm female subjects, the P wave amplitude was 33.06 ± 21.18 µV and the Ta wave amplitude was 20.72 ± 18.16 µV. The P wave duration was 94.22 ± 10.64 ms, the Ta wave duration was 85.51 ± 17.49 ms. The results show that modifications in the limb electrode placement have significant effect on amplitudes and PR segment which may be of great importance for the assessment of atrial potentials.
Application of Ancient Principles of Architecture in Modern Practice
Authors: DG Marshal , A Prakash , C Venkatasubramanian , D Muthu , Vignesh M Madhan
Published: July 2018

Before the advent of reinforced cement concrete and steel structures in the 20th century, structures like Arches, domes and vaults were being widely used worldwide. Arches were mainly used in span openings replacing beams. This was done based on the erstwhile cultural aesthetics and technical development in the prevailing construction methodologies. Nowadays, about 35 to 40 percentage of the total construction cost is being consumed by steel and concrete and therefore constructing a building without steel and concrete contributes to reduction in cost. Vaults and arches do not require concrete and steel but use only bricks and hence environment friendly. This paper deals with the design and construction procedure for structural members including the vault and buttress wall. It also highlights the reduction in cost when adopting vault method over conventional methods, in a residential building. The Vault prototype has been made with the studied design and concepts. The idea is to introduce this technique as a cost reduction approach and to preserve this ancient construction technique. Also, this method will be economical for construction of low cost houses up to two storeys.
Design of Memristive Hopfield Neural Network using Memristor Bridges
Authors: P Monurajan , A Ruhanbevi , J Manjula
Published: July 2018

Artificial Neural Networks are interconnection of neurons inspired from the biological neural network of the brain. ANN is claimed to rule the future, spreads its wings to various areas of interest to name a few such as optimization, information technology, cryptography, image processing and even in medical diagnosis. There are devices which possess synaptic behaviour, one such device is memristor. Bridge circuit of memristors can be combined together to form neurons. Neurons can be made into a network with appropriate parameters to store data or images. Hopfield neural networks are chosen to store the data in associative memory. Hopfield neural networks are a significant feature in ANN which are recurrent in nature and in general are used as associative memory and in solving optimization problems such as the Travelling Salesman Problem. The paper deals on the construction of memristive Hopﬁeld neural network using memristor bridging circuit and its application in the associative memory. This paper also illustrates the experiment with mathematical equations and the associative memory concept of the network using Matlab.
Energy Analytics for Smart Meter Data using Consumer Centric Approach
Authors: K Nimala , Arasan. R Thamizh
Published: July 2018

A short-range residential consumer’s demand forecasting at the distinct and cumulative level, by an analysis of data using consumer based centric approach. Energy intake behavior might fluctuate among various seasonal factors; the consumed current will change from one season to other. So hereby we are building a model which helps to calculate future electricity consumption data from the obtain ability of past smart meter data. Currently utility companies accumulate the data, use it, share for further practice, and abandon usage data at their discretion, with no input from customers. In many cases, consumers do not even have entree to their own data. But in this project Consumer can have fast admittance and control over their individual data, and also helps to choose the familiar algorithms for the data analyze rather than including third party applications. By end of analyze technique, the analyzed output will be driven to some user interactive application by creating a Graphical User Interface.
Sentiment Analysis of Review Data of a Product Using Python
Authors: Santhi Priya P , Venkateswara Rao T
Published: July 2018

The other name of sentiment analysis is the opinion mining. It’s one of the primary objectives in a Natural Language Processing(NLP). Opinion mining is having a lot of audience lately. In our research we have taken up a prime problem of opinion mining which is theSentiment Polarity Categorization(SPC) that is very influential. We proposed a methodology for the SPC with explanations to the minute level. Apart from theories computations are made on both review standard and sentence standard categorization with benefitting outcomes. Also, the data that is represented here is from the product reviews given on the shopping site called Amazon.
Leaf Quality :Hyperspectral Imaging Technology
Authors: Mary A Pramila , G Thippeswamy
Published: July 2018

India is a rural nation 70% of the populace relies upon horticulture. Farmers are the backbone of our nation.70% of the economic growth depends on agriculture. The major food crops of India are wheat, corn, rice, barley, sorghum. In this project the concentration is on paddy as it is a main food crop of our state. This project helps us to find whether the leaf is diseased or not and also helps us to find the type of disease in paddy leaf. The agribusiness research of programmed leaf sickness recognition is fundamental research point as it might demonstrate benefits in checking substantial fields of products, and subsequently naturally recognize manifestations of illness when they show up on plant takes off. Digital image processing Advanced is a procedure utilized for improvement of the picture. To enhance farming items programmed recognition of side effects is useful.
A Robust Routing Strategy for Efficient Reallocation in Multi-Grid Environment
Authors: Sivasubramanian R , Arthi K
Published: July 2018

Grid Computing is becoming the rising procedure in this ongoing condition. System figuring is the social affair of PC resources from various territories to accomplish a run of the mill objective. The framework can be considered as a spread structure with non-instinctive workloads that incorporate innumerable, the multi-grid environment which provides the multi-tenancy startup for the multiple inputs that is transmitted in the form of the data. The routing strategy which provides the robust reallocation in the grid environment. This paper proposes a Strategic Multi-Reallocation procedure which makes the reallocation in the multi-grid environment. We Propose the Grid-Hadlock Algorithm for the efficient reallocation in the multi-grid environment. The implementation proves the maximum occupancy and its reallocation strategies more efficient. The experimental results proves the phenomenon is more efficient.