Showing papers in "Journal of emerging technologies and innovative research in 2015"

A Load Balancing Model Based On Cloud Partitioning For The Public Cloud

Abstract: Cloud computing is one of the new style of computing.Network applications are growing very fast and the use of cloud computing has increased rapidly. Some of the advantages of cloud computing are low cost, on demand services pay per use basis,on-line and accessibility of data.Along with the advantages there are someissues to be resolved in order to improve reliability of cloud environment. Load Balancing is the main concern in cloud computing. In cloud computing load balancing has an important impact on the performance. User satisfaction and cloud computing efficiency can be improved by good load balancing.Some of the loadsaredelay or network load, CPU load, memory capacity. Load balancing is the process of distributing the load among various nodes of a distributed system to improve both resource utilization and job response time while also avoiding a situation where some of the nodes are heavily loaded while other nodes are idle or doing very little work.Various load balancing techniques have been proposed by many researches.

Speech Emotion Recognition

Abstract: In human machine interface application, emotion recognition from the speech signal has been research topic since many years. To identify the emotions from the speech signal, many systems have been developed. In this paper speech emotion recognition based on the previous technologies which uses different classifiers for the emotion recognition is reviewed. The classifiers are used to differentiate emotions such as anger, happiness, sadness, surprise, neutral state, etc. The database for the speech emotion recognition system is the emotional speech samples and the features extracted from these speech samples are the pitch, energy, linear prediction cepstrum coefficient (LPCC), Mel frequency cepstrum coefficient (MFCC). The classification performance is based on extracted features. Inference about the performance and limitation of speech emotion recognition system based on the different classifiers are also discussed. Keywords—Feature Selection, Emotion recognition, Classifier,Feature extraction.

Review on Max-Min Task scheduling Algorithm for Cloud Computing

Abstract: Cloud Computing refers as a use of computing ,software, plateform infrastructure as a services via internet.Where customer do not have their own computing infrastructure and pay only for what they use.In such scenario ,task scheduling algorithms can not only meet user’s requirements but also get high resource utilization,better performance, quick response time[3].For task allocation cloud provides the virtual machine which is scalable but scheduling them is a major problem.In this paper we study Max-Min task scheduling algorithm[12] and issues related to this algorithm.

A Review on Polymer

Abstract: The electric transport in polymeric materials has become an increasingly intrusting area of research, partly because these materials posses a good potential for solid state devices and partly this field of study serves as a stepping stone towards the general theory of polymer physics. In the present paper a theoretical approach has been made to discuss the classification of polymer, properties of polymer, methods of film formation, thickness measurement, charging methods and various applications of polymer.

Performance Evaluation of Grid-connected Solar Photovoltaic plant using PVSYST Software

Abstract: — Electricity is an essential part of our way of life. Most of the electricity is currently provided from the conventional thermal or hydro power stations. With the growing concern about the greenhouse gas emission and other environmental issues the renewable energy technologies such as photovoltaic cells are increasingly being recommended for electricity production. In this paper, the simulation of a grid-connected solar photovoltaic system is presented with the use of the computer software package Pvsyst and their performance was evaluated. The performance ratio and the various types of power losses (temperature, internal network, power electronics) are calculated. From the results, the viability of installing 1 MW solar photo voltaic (PV) power plant is discussed at geographical location shapur, Gujarat

A Review on Particulate Reinforced Aluminium Metal Matrix Composites

Abstract: Aluminium matrix composites have been emerged as advanced materials that are well suited in automotive, space, aircraft, defense, and in other engineering sectors. Aluminium and its alloys occupy third place among the commercially used engineering materials. Use of aluminum in transport sector has increased from just 6% in 1950 to 23% in year 2000. Consumption of aluminium casting has increased from 85,000 ton in 1995 to 145,000 ton in year 2000. Among the prime materials currently available to meet the challenges of modern airframe design is aluminum, which has a proven 70-year record of continuous improvement and cost effectiveness. The enormous amount of research and development (R&D) that has gone into Al-based MMCs of every possible alloy with different dispersoids establishing beyond doubt the usefulness of making composites but a choice has to be made with both the base alloy selection and dispersoid size and volume percentage for making engineering components. By suitable choice of the metal matrix and the reinforcement phase, a wide range of property combinations can be obtained. Particle reinforced metal matrix composites (PRMMCs) have become very promising materials due to their significant advantages over conventional materials such as high specific modulus, improved resistance to wear, improved resistance to high cycle fatigue and fatigue crack threshold, higher stiffness-to-weight ratio, low coefficient of thermal expansion and high thermal conductivity. The type, size, shape and relative proportion of the dispersoid govern the mechanical properties of metal matrix composites.

A Survey on Text Mining and Sentiment Analysis for Unstructured Web Data

Abstract: Unstructured data refers to information that doesn’t have a pre-defined data archetype. Unstructured information is typically textual data, but may also contain numerical data, and factual details. This results in data that is obscure, irregular and ambiguous, thus making it difficult to analyse using conventional computing means. Much of the data in the web, in the form of blogs, news, social media platforms is unstructured. But they serve as a potential vast source of information, if processed efficiently. In this paper, the basics of harnessing unstructured data from the web and the techniques to process it are discussed. The concepts of web crawling, text mining and natural language processing are discussed in brief, to give an outline of how web data is processed and analysed. Sentiment Analysis, which is a major aspect of present day NLP, is also described, along with issue of mining from Twitter, which has emerged as the most important data source for NLP in the recent past. The paper concludes with a brief outline of the use of web data mining and analysis, and the potential for future growth in the field.

Review of thermoelectricity to improve energy quality

Abstract: The objective of this paper is to investigate the usefulness of the thermoelectricity and find out way by which we can convert low grade heat to high grade electricity. This analysis has been done by studying the basic fundamental of energy generation, energy conversion of the energy and the development and need of the conversion of energy from low grade to high grade. The relative advantages and disadvantages of thermoelectricity with other renewable and non renewable sources have also been done in this analysis. We have also made one conceptual thermoelectric solar generator model to study its capacity to convert the low grade solar heat to high grade electricity. Finally, it is concluded that thermoelectric technology is the new and very advantageous energy conversion method, but now a days this is in development phase but in future it may be proved as a non comparable energy conversion method.

Effective Intrusion Detection System using Data Mining Technique

Abstract: Network Security has become the key foundation with the tremendous increase in usage of network-based services and information sharing on networks. Intrusion poses a serious risk to the network security and compromise integrity, confidentiality & availability of the computer and network resources. Human classification of network audit data is expensive, time consuming and a tedious job. Intrusion Detection System (IDS) is one of the looms to detect attacks and anomalies in the network. Data mining technique has been widely applied in the network intrusion detection system by extracting useful knowledge from large number of network data. In this paper a hybrid model is proposed that integrates Anomaly based Intrusion detection technique with Signature based Intrusion detection technique is divided into two stages. In first stage, the signature based IDS SNORT is used to generate alerts for anomaly data. In second stage, data mining techniques "k-means + CART" is used to cascade k-means clustering and CART (Classification and Regression Trees) for classifying normal and abnormal activities. The hybrid IDS model is evaluated using KDD Cup Dataset. The proposed assemblage is introduced to maximize the effectiveness in identifying attacks and achieve high accuracy rate as well as low false alarm rate. Keywords- Anomaly Detection, Intrusion detection, data mining, k-means, CART, SNORT

Nfc based secure mobile healthcare system

Abstract: The health affairs journal states that in India the rate of wrong diagnosis have become more. In Delhi the correct diagnosis was less than 50 percent and same was the case in rural Madhya Pradesh where 42 percent was found to be wrongly diagnosed.Since only few in these areas get correct treatment for the diseases we are putting forward a method for efficient healthcare management. Mobile devices have become a basic need in the present generation. Therefore we are making use of mobile devices in our project to improve the health care by reducing medical errors. We have proposed an application that makes use of NFC tags for storing EHR.

Vehicle Accident Detection and reporting system using GPS and GSM Module.

Abstract: With the growing population the use of vehicles has become superfluous.and this has led to the accidents increasing at an alarming rate resulting in a large loss of property and human life.This project aims at finding the occurrence of any accident and reporting the location of accident to the previously coded numbers so that immediate help can be provided by ambulance or the relatives concerned.GSM technology is used to intimate the vehicle position in the form of latitude and longitude coordinates through sms.The location spot is retrieved using Global Positioning System which is a navigational system using a network of satellites orbiting the earth. Sensors such as accelerometer,smoke and fire detectors detect signal in case of an accident occurence and send a signal to the connected microcontroller .The controller in turn operates the relay to blow the airbag and automatically lock the brakes.Meanwhile a message reaches to the necessary help.and thus ambulance service and required aid can reach in the shortest time possible. This system can also aid companies in the rental vehicle business to keep a track of the vehicular activity by sending message at regular intervals to the authorised numbers

A Review on Abrasive Water Jet Machining Process and its process parameters

Abstract: Abrasive water jet machining (AWJM) is one of the recent non-traditional methods that have been used widely in industry for machining of different materials in a variety of applications. Material removal in this process is due to erosion of a small volume with each particle striking the surface at high velocity. The numbers of particles striking the surface are in the order of tens of thousands per second. It is highly suitable for ceramics and composite materials. Composite materials are being increasingly used in various applications like space, aircraft, marine, architectural and automobile sector because of their superior physical and mechanical properties even though they are a little bit costly. Machining of composite materials is of great interest because of variety of reinforcement from high strength fibers to natural fibers. There are so many process parameter affect quality of machined surface cut by AWJM. Important process parameters which mainly affect the quality of cutting are traverse speed, h

Study on Fly Ash and GGBS Based Geopolymer Concrete Under Ambient Curing

Abstract: Construction has been most important human activity since ancient time. Concrete is widely used and reliable material for construction. Some of challenges in industry are global warming and insufficiency of construction material. One of the methods for replacing concrete constituents is the use of geo-polymer which helps in using very less quantity of cement in concrete. This project represents study on the mechanical properties of geopolymer concrete with various mixes. In this study, Geopolymer concrete is produced with fly ash and sodium hydroxide and sodium silicate is used as a binder. Fly ash is replaced by GGBS in proportions of 25%, 50% and 75% to enhance various properties of concrete. For this project, the mix design is carried out for 11M and 13M concentration of sodium hydroxide. Alkaline activator solution ratio of 2.5 and alkaline liquid to fly ash ratio 0.40 is selected for this investigation. The specimen of size 150x150x150mm cubes, 150x300mm cylinders and 500x100x100mm prisms were casted and the specimens of geo-polymer concrete are cured at ambient temperature for 7 days and 28 days. The cured specimens were then tested for compressive strength, split tensile strength and flexural strength respectively. KeywordsFly Ash, Ground Granulated Blast Slag, Geopolymer concrete, Sodium Hydroxide, Sodium Silicate, Molarity ________________________________________________________________________________________________________

Productivity Improvement by Value Stream Mapping in Die Casting Industry

Abstract: Value Stream Mapping has the reputation of uncovering waste in manufacturing, production and business processes by identifying and removing or streamlining non-value-adding steps. A flow diagram showing the process is drawn to reflect the current state of the operation. The non-value actions are identified in each step and between each step by their waste of time and resources. The process is analyzed with the help of simulation software for opportunity to drastically reduce and simplify it to the fewest actions necessary. By reducing wastefulness the proportion of value adding time in the whole process rises and the process throughput speed is increased. This makes the redesigned process more effective (the right things are being done) and more efficient (needing fewer resources). This paper explains about the corrective methods for eliminating the non-value added activities in the die casting industry with the help of Arena simulation software. The reengineered process is flow charted in its future state with process steps and information flows redesigned, simplified and made less expensive and increase in productivity.

Data Partitioning Technique to Improve Cloud Data Storage Security.

Abstract: Use of cloud computing is increasing rapidly but the security is main issue inside the cloud computing. Lot of research have been done on the cloud. Data can be efficiently store, share and download on the cloud storage. This improves user’s interaction with resources without any trouble. There are number of techniques to achieve the security in the cloud security inside the cloud computing. Many of them uses operations on dynamic data along with computation. This will force user to make copy of the user data on the cloud which will prevent the data loss and updation of the data. The efficient distributed storage auditing mechanism is prepare to overcome the data loss inside the cloud computing. But copies of duplicate data will lead to the memory overload of the cloud. So this paper presents the method for data partitioning. Data partitioning methods is also used to avoid the duplication of user data. Cloud data integrity get enhanced due to non-redundancy. It helps in enhancement of localization of the errors. It need to cooperate with server to detect the misbehaving user. This paper uses the DES algorithm for encryption of the data. To enhance the performance of the cloud storage remote data integrity checking concept is used. The cloud contains dynamic data and to reduce the time and computational cost data partitioning plays an important role.

Regenerative Brake: To Harness the Kinetic Energy of Braking

Abstract: Regenerative Braking Systems (RBS) provide an efficient method to assist railways and hybrid electric buses to achieve better fuel economy while lowering exhaust emissions In this paper regenerative braking concepts have to be studied in order to find an optimal way to combine a regenerative braking with a conventional frictional braking system to achieve maximal energy recuperation This paper describes the principle, design and working of regenerative braking systems A typical regenerative braking pattern is investigated for evaluating the availability of braking energy recovery The results indicates that in a vehicle with active regenerative braking control, a significant amount of braking energy can be recovered, and the brake system does not need much changing from the brake systems of conventional passenger cars

Review on cycle time reduction in manufacturing industries

Abstract: Manufacturing Organizations faces a Problem in reduction of cost and efficiency Challenges in their manufacturing Operations. To stand up in today’s Globalization world, Manufacturers need to find ways to reduce Production time and cost in order to improve operating performance and Product quality. Manufacturing Time based challenge is an organized way focusing on reduction of total throughput time in manufacturing firm. Reduce time has a cascading influence on value and worth. As cycle times are reduced, output increases equally. If reduction in cycle time is fifty percent and work in process inventory is twice turns causes output to increase from twenty to seventy percent. As output increases, resource capacity is freed. Two major effects take place: expenses turn down, and the manufacturing firm becomes capable of producing considerably more output with fewer assets: a successful arrangement.

Development of a new solar light trap model and its utilisation as ipm tool in agriculture

Abstract: This innovative work was conducted to develop a new model of solar light trap which will be the most effective IPM tool for the monitoring of insect pests and their mechanical control in the field of agriculture, provide no harm to the nature and also have low cost involvement so that it can be utilised by most of the farmers For that purpose firstly a model of light trap box with iron structure was developed, then a solar light system including solar panel, charging unit, battery and LED bulb installed with the light trap box so that this solar light trap can monitor and control the insect pests of different crops effectively After that 20 number of this newly developed solar light trap models were prepared and distributed for installation and farmers’ demonstration in different crops in four districts (Coochbehar, Jalpaiguri, Siliguri subdivision of Darjeeling and Murshidabad) of West Bengal including ZARS, Mohitnagar, Jalpaiguri during boro and kharif seasons of this year, 2014 The results of this study at ZARS, Mohitnagar and farmers’ demonstration in different crops in four districts revealed that the newly developed solar light trap model is very much effective for the monitoring of insect pests and their mechanical control in the field of agriculture and as it has low cost involvement so it can be utilised by most of the farmers Lastly it is the most effective IPM tool which provide better safeguard to the nature in comparison to the other method of pest control

Reactive Powder Concrete with mineral admixtures

Abstract: Reactive Powder Concrete (RPC) is a developing composite material that will allow the concrete industry to optimize material utilization, produce financial advantages, and build structures that are strong, durable, and sensitive to the environment. The aim of this study is to assess the performance of RPC with different locally available cementitious materials such as metakaolin, and alccofine. Efforts for improving the performance of concrete over the past few years suggests that cement replacement materials along with Mineral admixtures can improve the strength and durability characteristics of concrete. Metakaolin and alccofine are pozzolanic materials that can be utilized to produce high strength concrete. This study investigates the performance of concrete mixture in terms of slump flow test for fresh concrete, compressive strength, split tensile strength and flexural strength test at age of 3,7, 14 and 28 days. In addition figure out the ideal composition of cement, alccofine and metakaolin from given mix proportion.

Personalized mobile search engine

Abstract: We propose a personalized mobile search engine, PMSE, that captures the users’ preferences in the form of concepts by mining their click through data. Due to the importance of location information in mobile search, PMSE classifies these concepts into content concepts and location concepts. In addition, users’ locations (positioned by GPS) are used to supplement the location concepts in PMSE. The user preferences are organized in an ontology-based, multi-facet user profile, which are used to adapt a personalized ranking function for rank adaptation of future search results. To characterize the diversity of the concepts associated with a query and their relevances to the users need, four entropies are introduced to balance the weights between the content and location facets. Based on the client-server model, we also present a detailed architecture and design for implementation of PMSE. In our design, the client collects and stores locally the clickthrough data to protect privacy, whereas heavy tasks such as concept extraction, training and reranking are performed at the PMSE server. Moreover, we address the privacy issue by restricting the information in the user profile exposed to the PMSE server with two privacy parameters. We prototype PMSE on the Google Android platform. Experimental resultsshow that PMSE significantly improves the precision comparing to the baseline.

Service Oriented Architecture for Cloud Computing

Abstract: —Cloud computing is a recent trend in IT that moves computing and data away from desktop and portable PCs into large data centers The main advantage of cloud computing is that customers do not have to pay for infrastructure, its installation, required man power to handle such infrastructure and maintenance Cloud computing is getting more popular when IT giants such as Google, Amazon, Microsoft, IBM have started their cloud computing infrastructure There are many characteristics which a cloud should have Many of the existing platforms and frameworks lack of some of these characteristics, for example most of them cannot really be integrated, all of them just give the user some tools and platforms (such as service bus and development kits), but there is no provided intelligence and automation This paper proposes a framework that supports all of the mentioned characteristics and some others like low coupling and high integration The proposed framework not only supports traditional cloud facilities, but also using a service, adds intelligence to cloud to provide an automatic environment In order to accomplish the above mentioned goals, we have founded our framework on SOA (service oriented architecture) that manages data flow with an event driven approach

Review on High Speed Machining of Hard Material

Abstract: The challenge of modern machining industries is mainly focused on achieving high quality, in term of component accuracy, high production rate and high metal removal rate It is necessary to change and improve existing technology and develop product with reasonable price So, researchers have developed modern technology such as high speed machining High speed machining is a recent technology that involves machining of advanced material using modern machine tools Advanced materials with unique metallurgical properties such as hardened steels, super alloys, composites and ceramics have been developed to meet the demands of extreme applications High speed machining is being widely used in the aerospace, automotive, and dies making industries This paper presents an overview of the past research in high speed machining using hard cutting tools Effect of high speed machining process parameters on cutting forces, heat generation during cutting, surface integrity, tool wear and chip formation have been discussed in light of the findings of the past research

Iot based smart monitoring system

Abstract: In irrigation systems, there are many problems arrived due to lack of information about soil temperature, moisture and humidity. Due to this there are major problems in selecting crops and possibility of wasting water. Manually farmers feed the plants but using this technology we can collect the data related to the soil and can give water and fertilizer as per the requirement of crop and soil. In this paper i design a flexible, real time and low power consumption system to collect data using zig-bee, IOT and cloud concept to collect the data related to soil. Using this system, user needs not to be in farmland but can access data anywhere in world and can know about changing condition of soil.

Maximum power point tracking for wind energy conversion system

Abstract: Modern wind turbine control system are slow, And they depend on design parameter of wind turbine and wind or rotor speed measurement for as control variable inputs. The Dependency on correctness on measurement devices makes the regulatory low credible. This system consists of a wind turbine, drive train, permanent magnet synchronous generator, diode bridge rectifier, buck/boost converter, inverter and control circuit for MPPT that commands dc to dc converter to control the generator for maximum power extraction. In this work aerodynamic characteristic of wind turbine and power conversion topology is explained. The maximum power tracking control algorithm with a hill climb search is introduced and the modeling and simulation of the wind turbine generator system using the MATLAB/SIMULINK software is presented, at least in principle, that the maximum power tracking algorithm developed is suitable for wind turbine generation systems. These methods will increases reliability and efficiency of the system. And complexity of system decreased. This control System will base on the stiff system concept and provides a fast Response and dynamic solution to complicated aerodynamic system. This control scheme provides a quick response to wind Speed without knowledge of wind speed and turbine parameters.

A Literature Review on Lead Time Reduction Using The Value Stream Mapping

Abstract: Value Stream Mapping has the reputation of uncovering waste in manufacturing, production and business processes by identifying and removing or streamlining value-added steps and eliminating non-value-added steps.The non-value actions are identified in each step and between each step by their waste of time and resources.The Manufacturer goal is to satisfy the customer with the exact product, quality, quantity, and price in the shortest amount of time. It can only be achieved if the company is able to create and to implement effective and efficient processes in each of its line of their business. For this purpose lean tools are used because lean focus on the continuous improvement of a company towards the ideal through the relentless reduction of waste.Value Stream Mapping is a powerful lean tool for identifying the waste and this paper defines concept of Value Stream Mapping and various literatures related on VSM and will be useful for new research in current field. The reengineered process is flow charted in its future state with process steps and information flows redesigned, simplified and made less expensive. This paper addresses the application of lean manufacturing concepts to the manufacturing industry.

M-LEACH: A modified version of LEACH for WSNs

Abstract: Wireless sensor networks are appearing as an emerging need for mankind. Still, such networks are in research phase however, they have high potential to be applied in almost every field of life. A lot of research is done and a much more is awaiting to be standardized. In this work, cluster based routing in wireless sensor networks is taken for work and we proposed a modification in one of the most prominent wireless sensor network’s routing protocol “LEACH” as Modified LEACH (M-LEACH) by introducing efficient cluster head replacement scheme and dual transmitting power levels. Our modified LEACH, in comparison with LEACH out performs it using metrics of cluster head formation, through put and network life. Afterwards, hard and soft thresholds are implemented on modified LEACH (M-LEACH) that boast the performance even more.

A review on grid power quality improvement in wind energy system using STATCOM with BESS

Abstract: The sources such as wind power and solar power are expected to be promising energy sources when it is connected to the power grid. The wind generators have a significant impact on the power quality, voltage profile and the power flow for customers and electricity suppliers. The power exhausted from above energy sources varies due to environmental conditions. Due to the fluctuation in nature of the wind, the wind power injection into an electric grid affects the power quality. The influence of the wind sources in the grid system concerns the power quality such as the reactive power, active power, voltage variation, harmonics and electrical behaviour in switching operation[1]. Demonstration of a grid side connected wind turbine is considered here with the problem arise due to the above system. At the point of common coupling a Static Synchronous Compensator with Battery Energy Storage System-STATCOM/BESS, can regulate four-quadrant active and reactive power, which is an ideal scheme to solve problems of wind power generation. As the power from wind generation varies with time so the battery energy storage used to maintain constant real power comprehensively from varying wind power. The power generated through wind generator can be stored in the batteries at low power demand hours[2-4]. The combination of battery storage with wind energy generation system will synthesize the output waveform by absorbing or injecting reactive power and enable the real power flow required by the load. The control strategy can coordinate charge or discharge of batteries with reactive power compensation of STATCOM, and balance the batteries capacity. If required, amount of energy consumed or given to the grid can be observed through an online smart meter connected in the circuit.

Analysis of Tribal Child Labor and their Traditional Problems – A Sociological Study

Abstract: Exploitation of children through unacceptable forms of child labour continues to exist in all parts of the world. We know that certain groups of children are in a particularly vulnerable position. We know that school authorities and teachers see certain patterns of children performing poorly and even dropping out of school. We know that many of these children risk ending up in child labour as defined in ILO Minimum Age Convention 138, 1973 and Convention 182 concerning the Prohibition and immediate action for the Elimination of the Worst Forms of Child Labour, 1999. The latter include slavery, debt bondage, trafficking, sexual exploitation, the use of children in the drug trade and in armed conflict together with hazardous work. Identifying particularly vulnerable groups of children and their particular needs is a critical element in eliminating child labour. Article 7 of Convention 182 requires ratifying states to “identify and reach out to children at special risk.” This working paper documents how indigenous and tribal children indeed are often such children at special risk. ILO and its constituents have a long history of addressing the particular needs and rights of indigenous and tribal peoples. The growing number of countries ratifying ILO Convention 169 concerning indigenous and tribal peoples in independent countries testifies to this. There are indications of high numbers of worst forms of child labour among indigenous peoples in certain countries in South Asia, Southeast Asia and Latin America. Indigenous and tribal children are found to make up a large part of child labourers in certain risk areas, such as debt-bondage in South Asia, migratory agricultural wage labour in Central America and Mexico, and trafficking in Southeast Asia. In spite of this, indigenous visions of education have only recently begun to be acknowledged in the design of formal education services, curriculum development and teacher training. While it is true that many indigenous children work as an intrinsic part of growing up and learning in their communities, this does not justify the blind acceptance of “cultural” explanations for child labour, whether they are presented by governments, employers or parents. Formal education has been, and in some cases continues to be, a double-edged sword for indigenous peoples

Effect of process parameters on resistance welding

Abstract: Resistance welding is the most widely used joining process in automobile industry. Several types of resistance welding are developed for certain applications such as localized welding and continuous welding for pressure-tight joints. The spot welding and seam welding are variants of resistance welding. This paper presents a review of effect of process parameters resistance spot welding and resistance seam welding. Particular attention is paid to the response variables and their variations according to input parameters. ANOVA and Taguchi method has proved to be very efficient tools for controlling and optimizing the effect of process parameters on response variables such as tensile strength, hardness, nugget diameter. Welding current is considered as most influential factor among all process parameters.

Optical character recognition based text to speech synthesis

Abstract: Text to speech, there are many systems which convert normal language text in to speech. This thesis aims to study on speech synthesis technology using image recognition technology (Optical Character Recognition) to develop a cost effective user friendly image to speech conversion system using MATLAB for blind person. In this work we tried to make a system by which we can get the text through image and then speech through that text using MATLAB. The primary motivations are to provide users with a friendly vocal interface with the computer and to allow people with certain handicaps (such as blindness, dumbness, poor vision, visual dyslexia) to use the computer or to read any type of documents.