The shredded document reconstruction is a standout amongst the most widely utilized techniques for semi computerized or mechanized recovery of detailed records from tore up documents. Reconstructing the shredded files manually is similar to resolve a jigsaw puzzle however because of uneven edges, shapes and measurement this assignment turns into very boring and intricate. It’s a helpful job for forensic investigation science, historical artefact reconstructions. A generalized architecture for the shredded document reconstruction is proposed on this paper. On this paper we have now talked concerning the routines to reconstruct the ripped documents using various algorithms with their advantages and disadvantages.

Read More...

The consumption of hydrocarbon deposits at a faster rate in the present world the engine manufacturer as well as automobile industry is generating an essential demand for increase in efficiency of internal combustion engine. Advance technology demand for modifications of diesel engine more efficient with respect to fuel economy, power output, and reduce emissions. Engine life depends mainly on the part of the engine, service life increased by considering the part which dominates its major role in the working condition of the engine. higher temperatures demand for enhanced temperature resistant materials to be used. The use of Advance coating material in the automotive industry has been found to yield a significant effect on the efficiency of engines. An experimental investigation is carried out on a partially insulated single cylinder Diesel engine to study the performance and emission characteristics. The Piston Crown is coated with a ceramic material consisting of Zirconium dioxide (ZrO2) with 8% by weight of Yttrium Oxide (Y2O3) by plasma spray method. It was also found that heat lost to coolant is reduced and there is increase in energy of exhaust gases for Low heat rejection (LHR) engine when compared with the conventional single cylinder diesel engine.

Read More...

The phrase credit analysis is used to depict any process for evaluating the credit feature of the counterparty. Before offering credit, a bank or other loaner acquires information about the party asking a loan. In the case of a bank offering credit, this might involve the party's annual earnings, existing loans, whether they lease or own a home, etc. Based upon the credit score, the loaning body will decide whether or not to offer credit. The difficulty of credit-risk evaluation is a very questioning and important monetary analysis problem. In recent times, researchers have found that neural networks carry out very well for this intricate and unorganized problem when compared to more established statistical approaches. A major fault associated with the use of neural networks for conclusion making is their lack of clarification capability. While they can achieve a high anticipating accuracy rate, the reasoning behind how they reach their decisions is not easily available. In this paper, the results from analyzing real life credit-risk evaluation data set using neural network rule extraction methods are presented. The dataset chosen is Statlog German credit data set which is readily available for public use at the Statlog repository. Hadoop MapReduce has been used and is a software framework for easily writing applications which handle huge amounts of data in terms of multiterabyte datasets in parallel on large bundles i.e. many thousands of nodes of asset hardware in a dependable, fault-tolerant manner have been used. It has been carried out using Eclipse. This is the reason MapReduce programming is used to work with big data. In addition, Partitioning Around Medoids Clustering algorithm (PAM algorithm) is implemented using map-reduce programming in what way, the medoids are the standards of the neural network to examine credit risk which cluster the customers into the clusters pertaining to the different neurorules. Thus, this paper is aimed to show the derivation of rules from educated neural networks and representing these rules and using it to train large data sets in order to support a reasonable and valuable way for building credit-risk evaluation expert systems.

Read More...

Machine Learning (ML) is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in Artificial Intelligence (AI). Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions. [1]. When a vehicle (car) comes across an accident, telematics device associated with it will send the accident information (crash or the impact data) to a system. This alert notification (FNOL – Fist Notification of Loss alert) will be send to the recipients. Later this data is stored for analysis, reporting and for claiming the insurance. As data from an accident is understood, reconstruction tools will revolutionize fault allocation, with early intervention transforming FNOL activity and situation control; delivering cost reductions throughout the process. This will help the telematics industries to claim the insurance for their vehicle (which is met with an accident)[2]. FNOL ML API (Application Programming Interface) will identify if FNOL message which is received from the device is a genuine accident message and its value is greater than or equal to configured threshold. If so, it will send an email about that incident (impact) to all the email recipients configured in the system with the accident information[2]. In the present investigation, an attempt was made to analyze FNOL ML process. Computer program (code) was written to develop the Machine Learning capability. This is to understand and predict the accident data which is very useful for telematics industry to process the motor insurance claims. The FNOL ML will receive the accident data from the device (fitted to the vehicle), do the calculation for machine learning process and finally send the mail to the respective mail distribution list informing about the accident and the accident data.

Read More...

filtering is the fundamental aspect of digital signal processing.it involves manipulation of signal by passing or blocking certain part of signal. Digital filters are used in numerous application of control systems. this paper presents efficient design algorithm for FIR filter using genetic algorithm.this algorithm provides the flexibility in control of parameters such as population size,number of generations,crossover probability and so on.

Read More...

In this survey paper we survey about various techniques related to Hard computing techniques useful for improve efficiency and time complexity to solve complexity occur in classification techniques in data mining. In this survey we analyzed that multiple hard computing techniques provide different feature such as K-medoid, FCM, PAM, CLARA, CLARANS, BIRCH, CURE, ROCK and CHAELEON etc. In above mentioned techniques very useful and reliable techniques that to be introducing in this survey paper is K-means. K-means techniques based on hard computing and k number of cluster partitions concept. We also analysis of UCI library dataset that purely based on classification i.e. Iris, Wine, PimaIndians, Shuttle, Magic etc.

Read More...

Coal beds are an extremely complicated porous medium with characteristics of heterogeneity, dual porosity and stress sensitivity. In the past decades great achievements have been made to the simulation models of pressure depletion coal bed methane (CBM) recovery process and CO2 sequestration and enhanced coal bed methane (ECBM) recovery process. Due to the assumptions and over simplifications analytical models have limitations or problems in application. In this work, an effort has been made to study the behaviour of fluids i.e. CO2 and methane inside of coal and the analysis has been carried out to study their velocity and pressure variations using COMSOL Multiphysics. Coal contains both cleat and porous structure. Cleats are the natural fractures in coal and pores are the important factors for migration of fluid inside coal. Two separate models are developed to understand the fluid flow behaviour in both cleat and porous structure of coal.

Read More...

Fly ash is produced in expansive measures, particularly by warm power plants. An incredible bunch of request has been directed out for proficient usage of fly ash in the structure business. Utilization of fly ash in assembling block is one such thing which is being contemplated by numerous examination researchers and specialists. In this article various properties of fly ash bricks are investigated and studied, like water absorption and compressive strength. Lime- Fly ash bricks are casted with pressed technique and with 40-60 lime – fly ash ratio and in this proportion glass powder is added by total weight, upto 30% at an interval of 10%.

Read More...

This thesis aims to about the performance of D-STATCOM, to mitigate voltage sag hence Improve the power quality of the power system. Various loads like Starting of induction motor, Transient fault& Arc furnace will create Voltage sag in the power system, by using D-STATCOM, connected at the point of common Coupling we can provide the compensation &mitigate the sag. A power quality problem is an occurrence manifested as a nonstandard voltage, current or frequency that results in a failure or malfunction of the equipment at user-end, Utility distribution networks, sensitive industrial loads & critical commercial operations suffer from various types of outage & service interruption, which can cost significant financial losses. Due to advancement in power electronic technology, usage of Converter, Inverter, SMPS, UPS is increased exponentially, which are nonlinear loads &increased Harmonics distortion in system.

Read More...

In the world of digital communication data is the heart of worldwide economy and computer networks. In this review paper the two techniques are combined to form a hybrid technique. Cryptography and steganography are two essential branches of information security. The purpose of both these is same but both are different. It is possible to combine the techniques by encrypting message using cryptography and then hiding the encrypted message using steganography. The main goal(s) of this research is To do communication in a secure manner and also to avoid drawing suspicion to the transmission of hidden data and To create a strong steganographic technique that can achieve high security & embedding capacity while maintaining image quality & imperceptibility.

Read More...

A New revolutionary system for producing unconventional energy in near future is Cross Linear (CL) system has been newly researched and manipulated by Indo-Japan team. The contemporary facts available with respect to conventional sources of energy, it become mandatory for taking some game changing steps in the field of renewable energy sector specially in solar energy. The energy crisis is always a big problem that the world’s is facing today. Governments and concerned authority are working to make the use of renewable resources a precedence. As far as in renewable energy is concerned, solar is a dynamic field to approach CSP technology. Now this is the time to configure the CSP system by stabilizing some new technique. The CL-CSP project is one of game changing step in solar energy production. This paper is the analysis of how CL system can get rid of the end loss and increase the optical efficiency compared to Trough and LFR (Linear Fresnel Reflector system) and solar tower. This analysis is to solve the problems in the concentration systems and the lower concentration efficiency of Trough and LFR in the winter season; including a higher temperature around 550-600 °C can be obtained with the CL system.

Read More...

Efficient technique of micropropagation of the Grand Naine banana for the mass propagation has been developed. The explants were selected from the superior high yielding mother plants which were tested for viruses & Genetic fidelity. The sword suckers were selected as explants, trimmed properly to appropriate size, washed in detergent water followed by dipped in 70 % alcohol for 1 minute & after finally sterilized with 25 % Sodium hypochlorite for 15 to 20 minutes followed by distilled water wash for 4 to 5 times and finally treated with 0.1 % mercuric chloride for 5 to 7 minutes ,followed by distilled water wash, after proper sterilization the culture were inoculated in establishment medium with combination MS basal medium+ BAP, 2mg/l + Citric acid,40 mg/l + Sucrose, 20g/l + Agar, 5 gm/l. After successful establishment, the culture were transferred to Multiplication, medium with various trails of which trail code T8 (MS basal medium+ 4.5 mg/l BAP+ 0.45 mg/l IAA) was found the most appropriate for the efficient multiplication of cultures . For thin & week shoots elongation medium was tried with different combinations, out of them Trail code S2 was found the most appropriates for shoot elongation & healthy shoots in four week time. Well elongated shoot were directly rooted in rooting medium. For rooting, the trial code R2, MS basal medium ½ strength+ 1.5 mg/l IAA+ 0.3% activated charcoal, was found the best one. Finally the well rooted plants were taken for acclimatization. Initially plants were kept in high humidity of 90 % for primary hardening & then transferred to shade net house for the secondary hardening with different trails of potting mix out of them, the trail code H2 ( Cocopeat+Sand+vermicopost) in the the ratio of 2:1:1 ,was found the most suitable. The plants well developed in 2.5 months for field plantations.

Read More...

It has been noticed that there is remarkable of Electronic Health Record in Healthcare Management System, because people have experienced injury or sudden health conditions however, because of inconvenient transport or traffic controls, some of the injured peoples could not reach hospitals promptly, eventually dying. To reduce the time required for people to reach emergency care services and avert the above tragedies, an “Emergency Medical System” has developed. Emergency Medical System (EMS) is a comprehensive approach to emergency medical treatment in some medical emergency. It also describes a mobile system that allows electronic healthcare data storage, update and retrieval using Cloud Computing. This is an application in which the user would have to just press single click. Soon the device will send an emergency notification to a nearest hospital, the exact current position. When the doctor or family receives the notification, they can immediately take measures to rescue the user. It can also organize the health record of the user. The user can take online medical to send their physical situation and then get prescription from doctor who will send the prescription on the user's phone. This paper elaborates the enhanced Android based Tracking for Emergency Medical System (EMS) on cloud.

Read More...

In the era of technology and globalization, there has been increased access to higher education especially in developed countries and it is expected that as the number of opportunities increases, the tendency for new uncertainties and challenges also increases. In recent years, a simple Google search on MOOCs will return several thousands of links owing to the fact that the concept of online learning has expanded to include a growing number of Massive Online Open Courses (MOOCs). MOOCs, a recent trend in distance learning has swept across Europe and America like an avalanche coupled to the fact that all prestigious universities and reputed institutes across the world are actively involved. Since its inception, there have been web portal (such as edX, Udacity etc) that offer courses for free or with little fee. These courses follow formats that have open ended time schedules and ones that are available for a span of a regular semester. The marvel of this type of instruction is that the course instructors could be tenured professors from prestigious institutions or student turned teachers. This research examines the rise of MOOCs with a review of its history and characteristics. We will describe a MOOC project service attempted by one of the authors and the related observations regarding challenges that are India specific. The paper will examine how MOOCs can enhance accessibility, student engagement, and experiences for lifelong learning. It will also look at how usage of specific technologies, can empower educators and students: we will specifically use examples from Physics education. The authors will also suggest how some applications when embedded into a regular face to face course can increase effectiveness of instructions and how cloud services can enable instructors to reach out to students beyond regular class to increase effectiveness of instructions. Challenges for learners and institutions are examined: for individual instruction, student performance assessment, and long-term administration, and oversight of these types of courses. Findings and suggestions especially in the area of SPOCs (Small Private Online Courses) will also be discussed and recommended where necessary. We will also attempt to showcase a pilot project related to computer intensive educational material in the field of Physics and Computer Science.

Read More...

The WiMAX (Worldwide Interoperability for Microwaves Access) is a broadband wireless data communication technology based around the IEEE 802.16 standard providing high-speed data communication over a wide area along with cost effective access. MIMO-OFDM technology is a combination of multiple-input multiple-output (MIMO) wireless technology with orthogonal frequency division multiplexing (OFDM) that has been recognized as one of the most promising techniques to support high data rate and high performance in different channel conditions. Alamouti’s space time block coding scheme for MIMO system has drawn much attention in wireless technologies just because of its decoding simplicity.

Read More...

The WiMAX (Worldwide Interoperability for Microwaves Access) is a broadband wireless data communication technology based around the IEEE 802.16 standard providing high-speed data communication over a wide area along with cost effective access. MIMO-OFDM technology is a combination of multiple-input multiple-output (MIMO) wireless technology with orthogonal frequency division multiplexing (OFDM) that has been recognized as one of the most promising techniques to support high data rate and high performance in different channel conditions. Alamouti’s space time block coding scheme for MIMO system has drawn much attention in wireless technologies just because of its decoding simplicity.

Read More...

It is well known that the road signs play’s a vital role in road safety its ignorance results in accidents .This Paper proposes an Idea for road safety by using a RFID based traffic sign recognition system. By using it we can prevent the road risk up to a great extend.

Read More...

As deep web grows at a very fast pace, there has been amplified interest in techniques that help proficiently locate deep-web interfaces. However, due to the large volume of web possessions and the dynamic nature of deep web, achieving wide coverage and high efficiency is a challenging matter. We propose a two-stage framework, namely SmartCrawler, for efficient harvesting unfathomable web interfaces. In the first stage, SmartCrawler performs site-based searching for heart pages with the help of search engines, avoiding visiting a huge amount of pages. To achieve more accurate results for a focused crawl, SmartCrawler position websites to prioritize highly pertinent ones for a given topic. In the second stage, SmartCrawler achieves fast in-site penetrating by excavating most relevant links with an adaptive link-ranking. To eliminate bias on visiting some highly relevant links in secreted web directories, we design a link tree data structure to achieve wider coverage for a website. Our investigational results on a set of delegate domains show the agility and accuracy of our proposed crawler framework, which proficiently retrieves deep-web interfaces from large-scale sites and achieves higher harvest rates than other crawlers results.

Read More...

Formula one cars deals with high speed and moderate down force. Under this dynamic condition, car needs to maintain maximum traction to use maximum torque generated at output of engine. This is achieved by appropriate design of steering system. The design begins with study of basic parameters, calculations giving required values, followed by analysis of various conditions. Then a prototype is made to find out flaws and feasibility, proceeded by material selection, analysis, manufacturing, design validation, final assembly, and testing. The design is then validated by measuring performance in terms of turning radius, turning angle and steering effort .Selection and design of steering system gives ease in manoeuvrability and best cornering ability and desired turning radius which leads to winning the race.

Read More...

Today, It is very important to provide a high level security to protect highly sensitive and private information. Intrusion Detection System is an essential technology in Network Security. Nowadays researchers have interested on intrusion detection system using Data mining techniques as an artful skill. So my aim is to use IDS system and improve the performance of the IDS. IDS is a software or hardware device that deals with attacks by collecting information from a variety of system and network sources, then analyzing symptoms of security problems. The main focus of Intrusion detection and prevention systems (IDPS) is to identify the possible incidents, logging information about them and in report attempts. But sometimes IDS is not able to detect some new attacks and vulnerabilities. The main aim of this paper is to provide the knowledge of the IDS and also gives the survey of genetic algorithm for IDS. So this paper provides basic knowledge of IDS system as well as how to use genetic algorithm for IDS and improve the future research.

Read More...

The wastewater generated from the canteen, mess, college hostel in were collected and analyzed. In the present study, an attempt has been made to evaluate the treatability of wastewaters using lab-scale activated sludge reactor under extended aeration. Studies on the efficiency of the activated sludge reactor were carried out by varying the solids retention time of 8,12 and 16days with various hydraulic retention time of 15,20,25 and 30h with an organic loading rate varying from 0.116 to 0.209 kg BOD/ m3/day. The study revealed that the wastewater is amenable for treatment using ASP, with treatment efficiency as high as 91% and the bio-kinetics arrived at showed, better stability of the system and enhanced microbial activities at longer HRT and SRT. Also the design values suggest that the extended aeration system is the appropriate activated sludge treatment method for wastewater treatment.

Read More...

Today it is very important to provide a high level security to protect highly sensitive and private information. Intrusion Detection System is an essential technology in Network Security. Nowadays researchers have interested on intrusion detection system using Data mining techniques as an artful skill. So my aim is to use IDS system and improve the performance of the IDS. IDS is a software or hardware device that deals with attacks by collecting information from a variety of system and network sources, then analyzing symptoms of security problems. The main focus of Intrusion detection and prevention systems (IDPS) is to identify the possible incidents, logging information about them and in report attempts. But sometimes IDS is not able to detect some new attacks and vulnerabilities. The main aim of this report is to provide the knowledge of the IDS and also gives the survey of specification-based IDS in wireless ad-hoc network. So this report provides basic knowledge of IDS system as well as how to use MANET protocol for IDS and improve the performance of IDS and future research.

Read More...

Although PLCs are widely used in industrial applications, their performance does not always meet the requirements of today’s complex industrial applications. With FPGA technology, it is easier to implement PLC control programs into FPGAs for higher performance in terms of speed and accuracy. Implementation of PLC on FPGA leads to miniaturization of space required to install control circuitry on machine. Reconfigurable nature of FPGA allows designer to change, modify or add a PLC control program as many times as required. PLCs based on FPGA technology can fulfill the requirements of today’s industrial applications.

Read More...

DPI-AD is a deep packet inspection technique for regular expression detection in wireless network. This technique design in the base of LaFA technique, which is use to detect regular expression of attacks on wireless network. DPI-AD used DDOS attack filter for detection of DOS attack. Regular expression detection module used to detect regular expression pattern for various attacks. LaFA uses pattern matching in simple detection and complex detection module which require more time for detection of attack pattern for regular expression attacks. The detection technique in LaFA detect cross site scripting (XSS) attack, where the SQL injection attack cannot be blocked. The DPI-AD recovers all its limitations and additionally it gives better detection results. For the testing purpose of this techniques Sql injection attack, XSS attack and DOS attack tests are done on DPI-AD. Other Regular expression techniques also discuss with compare to DPI-AD.

Read More...

Web mining - is the application of data mining techniques to discover patterns from the World Wide Web. Web mining can be divided into three different types – Web usage mining, Web content mining and Web structure mining. Web usage mining is the technique that mines the web log. Usage data captures the identity or origin of Web users along with their browsing behavior at a Web site. The web log can be examined by either the client side or server side. In order to gain better efficiency, we can use server web log. It contains many useful information such as name of user, IP Address, number of bytes transferred timestamp, URL etc, so it is very useful in analysis of user behavior and from that it is also useful in the effective maintenance of website. A web server log file is the pool of huge data about client’s behavior. In order to increase the efficiency of a website, the website owner should study the user’s interest. This can be traced using Web Log Expert or other web mining tools. Web Log Expert is the tool that creates the quick report based on server log file of any website. In this paper we have studied the web log file of a jewellery website and extracted useful patterns of the user interest.

Read More...