Showing papers in "International Journal of Advance Research, Ideas and Innovations in Technology in 2017"

A Virtual Cloud Computing Provider for Mobile Devices

Abstract: Mobile devices such as smart phones and tablets have become an essential part of our lives, because of their powerful capabilities Along with the explosive growth of the mobile applications and up-raising cloud computing concept, mobile cloud computing appears to be a new potential technology for mobile services Mobile cloud computing maps cloud computing ideas and overcomes obstacles that deal with performance such as battery life, CPU, storage, bandwidth, environment that means heterogeneity, scalability, availability and security discussed in mobile computing To solve these problems by accessing cloud computing platforms To access these platforms is not always guaranteed to be available and is too expensive to access themTo overcome this issue by creating a virtual cloud computing platform using mobile phones

Secure and Constant Cost Public Cloud Storage Auditing with Deduplication

Abstract: Information uprightness and capacity effectiveness are two essential necessities for distributed storage. Verification of Retrievability (POR) and Confirmation of Information Ownership (PDP) strategies guarantee information respectability for distributed storage. Evidence of Proprietorship (POW) enhances stockpiling proficiency by safely evacuating superfluously copied the information on the capacity server. Be that as it may, an insignificant blend of the two systems, with a specific end goal to accomplish both information trustworthiness and capacity proficiency, brings about non-minor duplication of metadata (i.e., validation labels), which repudiates the destinations of POW. Late endeavors to this issue present huge computational and correspondence costs and have likewise been demonstrated not secure. It requires another answer for bolster effective and secure information trustworthiness inspecting with capacity deduplication for distributed storage. In this paper, we take care of this open issue with a novel plan in view of strategies including polynomial-based validation labels and homomorphic straight authenticators. Our plan permits deduplication of both documents and their relating confirmation labels. Information respectability examining and capacity deduplication are accomplished all the while. Our proposed plan is likewise portrayed by consistent ongoing correspondence and computational cost on the client side. Open inspecting and group reviewing are both upheld. Henceforth, our proposed conspire beats existing POR and PDP plans while giving the extra usefulness of deduplication. We demonstrate the security of our proposed conspire in light of the Computational Diffie-Hellman issue, the Static Diffie-Hellman issue, and the t-Solid Diffie-Hellman issue. Numerical investigation and trial come about on Amazon AWS demonstrate that our plan is proficient and versatile.

Uncertainty Quantification and Reliability analysis of CMIP5 Projections for the Indian Summer Monsoon

Abstract: A reliable Ensemble Averaging(REA) is a proposed technique which provides an estimate of Associated Uncertainty Range and Reliability of future climate change projections for Indian summer monsoon (June- September), stimulated by the state of the art Coupled General Circulation Models (CGCMs) under Coupled Model Intercomparison Project 5 (CMIP5). An evaluation of historical as well as future (RCP4.5 scenario) simulations often CGCMs in the REA technique projects a mean monsoon warming of 1.215 0 C with an associated uncertainty range () of 0.22 0 C, and an all-India precipitation increase by 7.109 mm/ the month with an associated uncertainty ((P) of 2.592 mm/month for 2021–2050. REA technique also shows a considerable reduction in the uncertainty range compared with the simple average ensemble approach and is characterized by consistently high-reliability index in a comparative study with individual CGCMs. The results suggest achievability of REA methodology in constituting the realistic future Indian Monsoon Projections by preparing a performance model and a descriptive confluence criteria.

Crack Detection in Railway Track Using Image Processing

Abstract: Computer vision can provide many potential advantages over manual methods of railway track inspection. Great levels of performance can be achieved through the automation of inspection using computer vision systems, as they allow scalable, quick, and cost-effective solutions to tasks otherwise unsuited to humans. At a minimum, railway track components can be objectively and quantitatively inspected, as the system does not suffer from fatigue or the subjectivity inherent with human inspectors. The digital nature of the data collection involved with a computer vision based method, archiving inspection results and trending of the data becomes feasible, leading to more advanced failure prediction models for maintenance scheduling and a more thorough understanding of railway track structure. In this research paper, a computer vision based method is presented. A system has been suggested which can periodically take images of the railway tracks and compared with the existing database of non-faulty track images on a continuous basis. If a fault arises in the track section, the system will automatically detect the fault and necessary actions can be taken, to avoid any mis-happening.

A Detailed Classification of Routing Attacks Against RPL in Internet of Things

Abstract: With the advancement in mobile computing and wireless communications, a new paradigm called Internet of Things is generating a lot of research interest and the industrial revolution. The increasing interest for this paradigm has resulted in the large-scale deployment of Low power and Lossy Networks (LLN), such as wireless sensor networks and home automation systems. These networks are typically composed of many embedded devices with limited power, memory, and processing resources interconnected by a variety of links, such as IEEE 802.15.4 or low-power Wi-Fi. These networks have a wide scope of applications such as industrial monitoring, connected home, healthcare, environmental monitoring, urban sensor networks, energy management, and assets tracking etc.RFC 7228. In order to address the specific properties and constraints of these networks, RPL (Routing Protocol for low power Lossy network) has been developed by the IETF working group [ROLL WG]. RPL is a lightweight, rank based routing protocol. However, this routing protocol is exposed to various attacks which can significantly impact the network resources and its performance. This paper presents an elaborate classification of the possible attacks against RPL in IoT network. Further, we have analyzed and compared the severity of these attacks.

Automatic Detection of Diabetic Retinopathy using Deep Convolutional Neural Network

Abstract: The purpose of this project is to design an automated and efficient solution that could detect the symptoms of DR from a retinal image within seconds and simplify the process of reviewing and examination of images. Diabetic Retinopathy (DR) is a complication of diabetes that is caused by changes in the blood vessel of the retina and it is one of the leading causes of blindness in the developed world. Currently, detecting DR symptoms is manual and time-consuming process. Recently, fully-connected and convolutional neural networks have been trained to achieve state-of-the-art performance on a wide variety of tasks such as speech recognition, image classification, natural language processing, and bioinformatics. In our approach, we trained a deep Convolutional Neural Network model on large dataset consisting around 35,000 images and used dropout layer techniques to achieve higher accuracy.

Manilkara zapota (L.) P.Royen (Sapodilla): A Review

Abstract: Manilkara zapota, also known as Sapodilla, is very commonly distributed in the Indian subcontinent. It is an important member of Sapotaceae family as it is well known all over the world for its traditional medicinal uses. Numerous phytoconstituents have been reported from the plant by different authors that are responsible for many biological effects such as anti-inflammatory, anti-arthritis, anti-bacterial, anti-fungal, anti-oxidant, anti-tumor and anti-diabetic activities. The present article describes a detailed review of literature for this plant species including taxonomy, pharmacology, and phytochemistry in an organized way. This review paper will surely serve as an important source for the future scientific investigations on this plant.

Brainwave Controlled Robot

Abstract: In the world, a number of people are handicapped Currently, they use different technologies which give physically impaired, the ability to move around But still there are a number of people who are fully handicapped and paralyzed but their mind still works properly So our task for those people who are physically handicapped and little disturb from mine site is to help them so that they can move around the world using their mind power For this, we have to try to design a robot, which is fully automated and controlled using Beta waves (human brain attention) with the help of a Mind wave sensor, which detects brain signal and also uses an Arduino to control the robot

Analysis of Air Pollution

Abstract: This research paper is an attempt towards analyzing real time air pollution data collected by PAQS sensor devices from some key locations in Bangalore. Air pollution in most of the metropolitan cities in India is turning out to be a major threat to our environment and hazardous to our health. Many infections and diseases related to lungs and throat are caused by the polluted air we breathe. There is a growing need to conduct regular measurements of air quality data and analyze it.

IOT Based Water Management System for Smart City

Abstract: During the past decade, water needs have increased unpredictably in India. Increasing demand of water supply has become a major challenge for the world. Wasteful usage of water, climatic changes and Urbanization has further depleted the resource. Conservation and management of the resource must be given utmost importance. In this paper, we present an IoT design for water monitoring and control approach which supports internet based data collection on real time basis. The system addresses new challenges in the water sector -flow rate measuring and the need for a study of the supply of water in order to curb water wastage and encourage its conservation. We also measure the quality of water distributed to every household by deploying pH and conductivity sensors. The traditional water metering systems require periodic human intervention for maintenance making it inconvenient and often least effective.For shortcoming of the existing models for a ubiquitous usage of wireless systems for smart quality monitoring and communicate data wirelessly.

Electro- Fenton Process for Wastewater Treatment – A Review

Abstract: In the recent year, a large amount of water and wastewater generated from various industries and produce organic matters and contaminated the water, this organic this organic compound in water poses serious problems to the public health as well as environment. the advanced oxidation process (AOPs) is one of the advanced treatment methods for wastewater remediation. In AOPs, Electro- Fenton process (EFP) is one of the best methods for the wastewater treatment. In this present research article review the treatment of different wastewater by using EFP and this review paper also focus on the development of EFP, application and advantages of EFP for the remediation of wastewater from various industries and some affecting factors like pH, temperature, Electrode distance, current density, Fe2+ Concentration, H2O2 Concentration etc., and this review concluded that compare to other methods EFP is a promising method for organic treatment and it is also environmental friendly. Therefore the electro-Fenton process is one of the best methods in AOPs.

Optimization of Resistance Spot Welding Parameters Using Taguchi Method

Abstract: Resistance spot welding (RSW) is a major sheet metal joining process in many industries, such as the automobile, domestic appliances, and space craft fabrication. It is one of the oldest of the electric welding processes in use by industry today. Furthermore, other metal-to-metal connections, such as wire-to-wire joints in the electronics industry, are accomplished by resistance spot welding. Application-specific measures, such as the diameter of the welding spot, define the quality of the joint. The weld is made by a combination of heat, pressure, and time parameters. As the name implies, it uses the resistance of the materials to the flow of electric current that causes a localized heating in the parts to be joined. Understanding of physical mechanisms for easily manipulating and controlling weld qualities in advance is extremely important. This paper represents the optimization of various parameters of resistance spot welding. The experimental studies have been conducted under varying pressure, welding current, pressure, and welding time parameters. In this investigation the quality characteristic (tensile strength and nugget diameter) parameters have been considered using Taguchi Method. The experimental studies have been carried out by varying welding currents, welding pressure and weld times for joining two sheets. The results of the investigation indicate the welding current to be the most significant parameter controlling the weld tensile strength as well as the nugget diameter. The contribution of welding current, holding time and pressure to tensile strength are 61%, 29%, 4% respectively and the contribution of these parameters to nugget diameter are 81%, 1.7%, 17% respectively. Relationship graphs have been plotted between tensile strength and nugget diameter with parametric variations according to orthogonal array.

E-Mail Spam Detection and Classfication Using SVM and Feature Extraction

Abstract: Today emails have become to be a standout amongst the most well-known and efficient types of correspondence for Internet clients. Hence because of its fame, the email will be misused. One such misuse is the posting of unwelcome, undesirable messages known as spam or junk messages. Email spam has different consequences. It diminishes productivity, consumes additional space in mail boxes, additional time, expand programming damaging viruses, and materials that contains conceivably destructive data for Internet clients, destroy stability of mail servers, and subsequently clients invest lots of time for sorting approaching mail and erasing undesirable correspondence. So there is a need of spam detection so that its outcomes can be reduced. In this paper, propose a novel method for email spam detection using SVM and feature extraction which achieves accuracy of 98% with the test datasets.

Smart Refrigerator using Internet of Things (IoT)

Abstract: The refrigerator is the most frequently used domiciliary/kitchen electrical appliance all over the world for food storage. Principally this appliance is used for various tenacities like storing vegetables, fruits etc. Smart refrigeration module is designed to convert any existing normal refrigerator into a smart and low-cost machine using sensors. Smart refrigerator compares the status of the food for e.g. weight, quantity etc. The significance of this work will be removable of food spoilage, reduce illness and make a healthier lifestyle of modern age human being. The smart refrigerator is capable of sensing and monitoring its contents and also provides advantageous features. The smart refrigerator is also able to remotely on-off control and notifies the user about scarce products via wifi module (internet) on user’s mobile android application. It also facilitates the purchase of scarce items by providing a one-touch button on mobile application from predefined nearer grocery vendor of that particular item by sending SMS. The core functionality of the smart fridge is to maintain, with minimum effort, food items which might want to be purchased as soon as they run out. As a result, the user is notified every time if eggs are finished. The load cell triggers a notification of available fewer vegetables to the user as soon as the applied pressure is below threshold kg. IR proximity sensors monitor the containers in which milk or juice are sensed. Additional functionality includes the ice ready indication, power saving, smell detection, overweighting etc.

Statistical Analysis of Polypropylene Fiber Reinforced Concrete

Abstract: The capability of durable structure to resist weathering action and other degradation processes during its service life with the minimal maintenance is equally important as the capacity of a structure to resist the loads applied on it. Although concrete offers many advantages regarding mechanical characteristics, the brittle behaviour of the material remains a larger handicap for the seismic and other applications where flexible behaviour is essentially required. Reinforcement with randomly distributed short fibers presents an effective approach to the stabilization of the crack and improving the ductility and tensile strength of concrete. PolyPropylene(PP) fiber reinforcement is considered to be an effective method for improving the shrinkage cracking characteristics, toughness, and impact resistance of concrete materials. In the present study, we are carrying out the statistical analysis of PolyPropylene fiber reinforced concrete by comparing various properties such as compressive strength, tensile strength, workability properties with various content of fiber (0%,0.5%,1% and 1.5%).

Voice Based Email for Blind People

Abstract: - The advancement in computer based accessible systems has opened up many avenues for the visually impaired across a wide majority of the globe. Audio feedback based virtual environment like, the screen readers have helped blind people to access internet applications immensely. However, a large section of visually impaired people in different countries in particular, the Indian sub-continent could not benefit much from such systems. This was primarily due to the difference in the technology required for Indian languages compared to those corresponding to other popular languages of the world. In this paper, we describe the voicemail system architecture that can be used by a blind person to access e-mails easily and efficiently. The contribution made by this research has enabled the blind people to send and receive voice based e-mail messages in their native language with the help of a mobile device. Our proposed system GUI has been evaluated against the GUI of a traditional mail server. We found that our proposed architecture performs much better than that of the existing GUIS. In this project we use voice to text and text to voice technique access for blind people.

Underground Cable Fault Distance Locator

Abstract: In this paper, a method to detect the fault and the distance at which the fault has occurred is calculated. The fault location in the underground cable is a bit cumbersome process so to deal with such problem a method is given in this project. To determine the location of fault a series resistor is used and the voltage across this resistor is measured and then is sent to the microprocessor to calculate the distance at which the fault has occurred. This is a safe and cheap method for obtaining the fault location in an underground cable. This method also does not have a high power requirement and is portable too.

Implementation of Blood Donation Application using Android Smartphone

Abstract: Blood is an important constituent of the human body. Timely availability of quality blood is a crucial requirement for sustaining the healthcare services. In the hospital, in most of the cases, when blood is required, could not be provided on time causing unpleasant things. Though donor is available in the hospital, patient is unaware of it, and so is the donor. To resolve this, a communication between hospital, blood bank, donor, and the receptor is important. The system listed following forecasting on price variations and stock handling, increase in the number of blood type, increase in human accident Infrastructure, blood on the various category to be managed. So we solve the problem using the Android application. The system will make sure that in case of need, the blood will be made available to the patient. There will be web portal as well as an Android app to make this communication faster. It aims to create an e-Information about the donor and organization that are related to donating the blood. The Methodology used to build this system uses GPS. The Proposed system will be used in Blood banks, Hospitals, for Donors and Requesters whoever registers to the system.

Secure Data Retrieval For Decentralized Disruption Tolerant Military Networks

Abstract: Mobile nodes in military environments such as a battlefield or a hostile region are likely to suffer from intermittent network connectivity and frequent partitions. Disruption tolerant network (DTN) technologies are becoming successful solutions that allow wireless devices carried by soldiers to communicate with each other and access the confidential information or command reliably by exploiting external storage nodes. Disruption- tolerant network (DTN) technologies are becoming successful solutions that allow nodes to communicate with each other in these extreme networking environments. Typically, when there is no end-to-end connection between a source and a destination pair, the messages from the source node may need to wait in the intermediate nodes for a substantial amount of time until the connection would be eventually established. The concept of attribute-based encryption (ABE) is a promising approach that fulfills the requirements for secure data retrieval in DTNs. Especially, Cipher text-Policy ABE (CP-ABE) provides a scalable way of encrypting data such that the encrypt defines the attribute set that the decrypt needs to possess in order to decrypt the cipher text. Thus, different users are allowed to decrypt different pieces of data per the security policy.

Study of Polymer Matrix Composite with Natural Particulate/Fiber in PMC : A Review

Abstract: The evolution of composite material has replaced most of the conventional material used for automobile, aviation and other area of construction. Moreover in the field of composite, a rapid growth has been noticed in the area of natural reinforced composite material. The reason behind this growth in the research field of natural reinforced composite is the advantages of them over the other reinforcement, such as low cost, and lower environmental impact. This paper gives a review of some of developments with a discussion of the problems with the present generation natural reinforced composites and prospects for further developments. Various physical and mechanical properties of natural reinforced polymer matrix composite have been studied with the combination of different natural reinforcement with polymer matrix. The issues discussed relate to the mechanical properties in general, environmental degradation and long-term durability. The aim of this review is to provide an overview of the properties, development and performance of natural reinforced polymer matrix composite.

Effectiveness of Play Therapy upon Anxiety among Hospitalised Children

Abstract: Hospitalisation to any child is a very unpleasant and traumatic experience. Hospitalised children require more recreational play because, illness and hospitalisation constitute crisis in child’s life and since these situations are fraught with overwhelming stresses, children need to play out their fears and anxieties as a means of coping with these stresses. Hence in this study the investigator has tried to determine the effectiveness of play therapy upon anxiety among hospitalised children. Methods A true experimental pretest post test research design was used. The samples for the study were chosen by purposive sampling and the sample size was 30 in experimental group and 30 in control group. Tools such as Demographic variable proforma, Clinical variable proforma and State anxiety inventory scale were used to assess the anxiety of hospitalized children. Results The findings of the study revealed that in control group there was no significant difference in the mean and standard deviation of the anxiety levels (M =49.5, 48.4 & SD =8.30, 8.36) before and after play therapy. Whereas in experimental group significant difference in the mean and standard deviation of anxiety level (M=49, 42.76 & SD = 8.40, 8.29) was noted before and after play therapy at p<0.01.Overall study findings has identified the play therapy is effective in reducing the anxiety among hospitalized children.

Automated Diagnosis of Heart Disease using Random Forest Algorithm

Abstract: The accurate diagnosis of heart diseases, is one of the most important biomedical problems whose administration is imperative. In the proposed work, decision support system is made by three data mining techniques namely Classical Random Forest, Modified Random Forest and Weighted Random Forest. The classical random forests construct a collection of trees. In Modified Random Forest, the tree is constructed dynamically with an online fitting procedure. A random forest is a substantial modification of bagging. Forest construction is based on three step process . 1. Forest construction 2. The polynomial fitting procedure 3.The termination criterion In Weighted Random Forest, The Attribute Weighting Method is used for improving Accuracy of Modified Random Forest. There are Two Techniques are Used in Attribute Weighting: 1. Averaged One-Dependence Estimators (AODE) 2. Decision Tree-based Attribute Weighted Averaged One-dependence Estimator( DTWAODE).

Optimize workflow scheduling Using Hybrid Ant Colony Optimization (ACO) & Particle Swarm Optimization (PSO) Algorithm in Cloud Environment

Abstract: Those days are gone when storing and accessing of data were done on computer’s hard drive. Now with innovation in technology and with the great success of Internet Computing resources have become more economical, more powerful and more ubiquitously available than ever before. This technological trend of the 21st century has given birth to the realization of a new computing model called Cloud Computing. This Computing is not only about the hard drives were storing and accessing can be done but it is latest computing paradigm and it offers tremendous opportunities to solve the large-scale scientific problem. To fully exploit the applications of cloud, various challenges need to be addressed where scheduling is one among them. Although catholic research has been done on Workflow Scheduling, there are very few edges tailored for Cloud environments. For some basic principles of Cloud such as elasticity and heterogeneity existing work fails to meet optimal solution. Therefore our work focuses on the scheduling strategies for scientific workflow on IaaS cloud. We present an algorithm based on the meta- heuristic optimization technique where the best of two algorithms Ant colony Optimization (ACO) and Particle Swarm Optimization (PSO) are merged to optimize locally and globally which minimizes the overall workflow time (makespan) and reduces the cost. Our heuristic is evaluated using CloudSim and several well-known scientific workflows of different sizes. The results show that our approach performs better when compared to PSO algorithm.

A Survey of Fog Computing and its Applications

Abstract: We live in a world where consumer products, goods, vehicles, industrial and utility components, sensors, and other everyday objects are being combined with Internet connectivity and powerful data analytic capabilities that promise to transform the way the world works, plays and lives. Through the Internet of Things (IoT), we are generating a humongous volume and variety of data. There is a need for a computing paradigm that allows us to perform computations on the data before it is sent to the cloud, where the opportunity to act on data might be lost. In this paper, we present one such technique called Edge computing, or Fog computing and describe some of its applications. Keyword: Fog Computing, Edge Computing, Mobile Cloud Computing, Mobile Edge Computing, Cloud Computing.

A Study on the Plastic Waste Treatment Methods for Road Construction

Abstract: Plastic found in different forms is almost 5% amongst municipal solid waste, which can prove to be toxic in nature. It is a common sight in both urban and rural areas to find empty plastic bags and another type of plastic packing material littering the roads as well as drains. Due to its biodegradability, it creates stagnation of water and associated hygiene problems. In order to contain this problem experiments have been carried out whether this waste plastic can be reused productively in the construction of roads. The experimentation at several institutes indicated that the waste plastic, when added to hot aggregate will form a fine coat of plastic over the aggregate and such aggregate, when mixed with the binder is found to give higher strength, higher resistance to water and better performance over a period of time. Therefore, it is proposed that we may use waste plastic in the construction of Rural Roads.

Smart Farming System for Indian Farmers using Arduino based Technology

Abstract: This work aims at developing an entirely automated plant/crop watering system. The main motivation behind this system is to conserve the wastage of water and to effectively manage the amount of watering of the plants. It also aims at reducing human labor, effort, and errors due to human negligence. It uses solar panels to provide power to the system at daytime. Solar energy is used to run the system during daytime and charge the batteries to operate at night. It uses moisture sensors to sense the level of moisture in the soil. When the moisture content of the soil goes below a certain limit for a plant/crop, the pump system is triggered and the plant/crop is watered. The plants are watered efficiently till the desired value is reached and the pump is switched off automatically.

Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach

Abstract: Face detection is an important computer vision problem that has been working for years. Security and market research are the areas where face detection is used. Face detection is the first step in some problems such as face recognition, age estimation and face expression detection. Several face detection algorithms have been developed up to now. CNN-based algorithms are the state-of-the art technology in image processing problems, as well as other methods in terms of accuracy rates and speed criteria in face detection problems. In this paper, we propose a face detection algorithm having a model like Alexnet. The method is implemented on images from MUCT and FDDB public datasets. In addition, in the study, the Hog feature descriptor and the methods developed with the haar cascade features are compared with the CNN based method using images of the same dataset. Tests show that the proposed method produces better results than the other two methods.

Study on Slope Stability of Earthen Dams by using GEOSTUDIO Software

Abstract: This paper research explained about slope stability of earthen dams using GEOSTUDIO software. Generally, in earthen dams, the factors included in this analysis are the specific site, foundation conditions, construction material characteristics and hazard potential associated with the particular site. To control the slope failures it is important to analyze the factor of safety of the slopes. To derive factor of safety, the tests are carried out by using numerical modeling of SLOPE/W and SEEP/W tools of GEOSTUDIO software for steady state seepage and sudden drawdown conditions. In this paper factor of safeties are analyzed for four cases, such as (i) without berm without the drained blanket (ii) with berm without a drained blanket (iii) without berm with the drained blanket and (iv) with berm with the drained blanket. Out of four cases, the best case to improve the factor of safety of the slope is (iv) with berm with the drained blanket of the earthen dam.

Role of Information Technology in Human Resources Management

Abstract: The Internet has changing our lives and the way we interconnect with the others, how we work, how we learn and spend free time, in short, it has changed human society Information technology (IT) as a set of offered scheme is available for people and organization through hardware mechanism and plays a main role in the growth of human resources In today’s world, Information technology is the important factor for the growth of human organization and group This paper encloses a brief overview of the role of information technology in human resources management Today top CEO knows the power of internet and information technology (IT) mode for reaching organization goal The utilization of internet and information technology equipment helps not only to complete organization aim but to optimize work evaluation as well