Vol 3 Issue 2 April 2015-June 2015

Abstract: An efficient prediction of range aggregation based on dagger uses bundled range aggregation, which can be regarded as the simultaneous execution of a range aggregate query on multiple datasets, returning a result for each dataset. Bundled range aggregation, which is conceptually equivalent to running a range aggregate query separately on multiple datasets, returning the query result on each dataset. In particular, the queried datasets can be arbitrarily chosen from a large number (hundreds or even thousands) of candidate datasets. The challenge is to minimize the query cost no matter how many and which datasets are selected. We propose DAGGER (Dataset Aggregation), an iterative algorithm that trains a deterministic policy that achieves good performance guarantees under its induced distribution of states. we found that Dagger is more stable and learns faster, while being more robust with respect to the choice of learning rates and action costing. These advantages are more pronounced in the parameter-free versions of the algorithms which avoid stochastic cost estimates and need simpler expert policy definitions. Finally, we assessed the effect of the learning rate in complex structured prediction tasks in which mistaken predictions can inhibit imitation learning algorithms from exploring useful parts of the training data.

Keywords: Aggregation, range search, index, dagger.

Title: An Efficient Prediction of Range Aggregation Based On Dagger

Author: Anitha.J, Maheswari.D, MadanMohan.M

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: This project is about developing a marketplace for the building materials in the AEC (Architecture, Engineering and Construction) segment with the unique and very innovative solution for end customers who are really having lot of pain points in choosing what they want in today's lifestyle. Our focus is to make this whole ecosystem seamless, user friendly and easy to use. It is about developing an automated system for supply and information Exchange for Architects, Providers, Dealers and end users which with the unique and most innovative way. It facilitates the whole ecosystem communicate to each other targeted user groups. This would reduce lot of pain points and make user’s life lot more easy, seamless and adoptable. It has got multiple faces which are Pluggable Interface, Augmented Reality, Marketplace and storage Management etc.

Keywords: AEC, Market Place, Augmented Reality, Pluggable Interface.

Title: Information Supply and Exchange Eco-System-AEC

Author: Shivananda Swamy C, Veena M

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Network security is an important aspect in every field like government offices, Educational institute and any business organization. Network security is a challenging problem due to the complexity of underlying hardware, software, and network interdependencies as well as human and social factors. It involves decision making in multiple levels and multiple time scales, given the limited resources available to both malicious attackers and administrators defending networked systems. The resources vary from bandwidth, computing, and energy at the machine level to manpower and scheduling at the organizational level.Data security is the extreme critical factor in ensuring the transmission of information via the network. Threats to data privacy are powerful tools in the hands of hackers that could use the vulnerabilities of a network to corrupt, destroy and steal the sensitive information. There are more network security measure to protect the data from attackers like antivirus software, firewalls, cryptography etc. In this paper we study about various types of attacks on network security and how to handle or prevent this attack.

Keywords: Virus, Firewall, security, attacks, Hardware Firewalls, Antivirus software.

Title:  Network Security: Attacks and Defence

Author: MS. Masroor Jahan Mohd.Mubeen Ansari

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Net mining also called as web mining will be loosely outlined as discovery and analysis of helpful info from the globe Wide net. This paper focuses on net use mining and specifically keeps tabs on running across the net utilization samples of sites from the server log records followed by the bonding of memory and time usage is calculated by means that of Apriori algorithm and improved by using Frequent Pattern Tree algorithmic program.

In this paper, we tend to propose a unique frequent-pattern tree (FP-tree) structure, that is associate extended prefix-tree structure for storing compressed, crucial info regarding frequent patterns, associated develop an economical FP-tree based mining technique, FP-growth, for mining the entire set of frequent patterns by pattern fragmentation growth rate. potency of mining is achieved with 3 techniques: A. an outsized info is compressed into a condensed, smaller organization, FP-tree that avoids pricey, continual info scans, B. our proposed FP-tree-based mining adopts a pattern-fragment growth technique to avoid the pricey generation of an outsized range of candidate sets, and C. A  partitioning-based, divide-and-conquer technique is employed to decompose the mining task into a group of smaller tasks for mining confined patterns in conditional databases, that dramatically reduces the search area. Our performance study shows that the FP-growth technique is economical and scalable for mining each long and short frequent patterns, associated is regarding an order of magnitude quicker than the Apriori algorithmic program and additionally quicker than some recently rumored new frequent-pattern mining ways.

Keywords: Web mining, frequent pattern, Apriori algorithm, Frequent Pattern Tree (FP-Tree).

Title: Web Usage Mining With Improved Frequent Pattern Tree Algorithms

Author: Mrs. Kirti Tandele, Prof. Bhavna Pansare

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Considering data privacy, a traditional way to ensure it is to rely on the server to enforce the access control after authentication, which means any unexpected privilege escalation will expose all data. In a shared-tenancy cloud computing environment, things become even worse. Data sharing is an important functionality in cloud storage. In this article, we show how to securely, efficiently, and flexibly share data with others in cloud storage. We describe new public-key cryptosystems which produce constant-size cipher texts such that efficient delegation of decryption rights for any set of cipher texts are possible. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. In other words, the secret key holder can release a constant-size aggregate key for flexible choices of cipher text set in cloud storage, but the other encrypted files outside the set remain confidential. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. We provide formal security analysis of our schemes in the standard model. We also describe other application of our schemes. In particular, our schemes give the first public-key patient-controlled encryption for flexible hierarchy, which was yet to be known.

Keywords: Cloud Storage, Data sharing, KAC.

Title: A Secure Data Sharing In Cloud Storage System Using Advanced Encryption Standard

Author: Maheswari .D, Anitha.J, Preethi.C, Suganya Devi.B

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Pre-processing the data is a need in today’s scenario. Data must be converted into a valid form so that it can be more useful and can assure great results. In this paper we are focusing on cleaning of data by filling in missing values and identifying the class basically known as classification. Results are compared in Weka for performance factor by taking data sets- first, with missing values and second with filling in those missing values with averaging and assigning class using Random Forest in terms of error rate. Two algorithms J48 and Random Forest are compared in weka in terms of performance (Accuracy and Error rate).

Keywords: Data mining, pre-processing, random forest, decision tree, classification, data cleaning.

Title: Data Pre-processing For Performance Analysis

Author: Shobha Tyagi, Komal Chaudhary

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Offline Handwritten word Recognition (HWR) achieved increasing attention in the past few decades. Recognizing Indian language of Kannada is very difficult task not only because of variation in the handwriting, also because of number of alphabets present in Kannada languages, number of shapes, etc. To achieve the good recognition rate it is important to have good combination of feature extraction techniques and classifier.  In this paper mainly we have used Gray Level Co-occurrence Matrix (GLCM) to extract the features and Support Vector Machines (SVM) for recognition. Experimental results show the good accuracy rate.

Keywords: Offline Handwritten Word Recognition (HWR), feature extraction, classifier, Gray Level Co-occurrence Matrix (GLCM), Support Vector Machines (SVM).

Title: Offline Kannada Handwritten Word Recognition Using Support Vector Machines (SVM)

Author: Rohith Kumar, M S Patel

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract:  In computing, a data warehouse is a system used for reporting and data analysis. DWs are central repositories of integrated data from one or more disparate sources. Data warehouse acting as a decision support systems. Data warehouses standardize the data across the organization so that there will be one view of information. Data warehouses can provide the information required by the decision makers. The data warehousing module is intended for centralizing the storage location of the organization’s data. This allows the business to maintain one version of the truth for reporting and analysis.

The paper focuses on different components in the Data warehouse and its schemas. The main components include the ETL process, OLAP and other client applications residing on the Data warehouse. Extraction–transformation–loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, its cleansing, customization, reformatting, integration, and insertion into a data warehouse. Building the ETL process is potentially one of the biggest tasks of building a warehouse; it is complex, time consuming, and consumes most of data warehouse project's implementation efforts, costs, and resources. Building a data warehouse requires focusing closely on understanding three main areas: the source area, the destination area, and the mapping area (ETL processes).

OLAP is a trend in database technology, based on the multidimensional view of data. Multidimensional data (called multi cubes) form the basic logical data model for OLAP applications and a significant number of proposals exist for cube models, without – in most cases – the distinct description of an equivalent “presentational” layer or model for the presentation of multidimensional data and their hierarchies.

Keywords: ETL process, OLAP, Call Management Data Warehousing.

Title: Call Management Data Warehousing

Author: Pooja Jaiswal

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: As the value of 802.11 hardware continues to fall, the charm of inserting unauthorized wireless access into enterprise networks grows. These rogue access points (APs) expose the enterprise network to a barrage of security vulnerabilities in this they're usually connected to a network port behind the firewall. Most of this approaches to detective work rogue APs ar rudimentary and are simply evaded by hackers. we have a tendency to propose the utilization of temporal traffic characteristics to notice rogue APs at a central location. This malfunction is independent of the wireless technology (802.11a, 802.11b, or 802.11g), is scalable, does not posses the inefficiencies of the current solutions, and is freelance of the signal vary of the rogue Aps.

Keywords: Aps, temporal traffic characteristic, enterprise network, wireless technology.

Title: RAPD Extension with Temporal Traffic Characteristics

Author: Prof. Abhijit S Bodhe, Prof. Shivaji Patil, Prof. Shashikant Deshmukh, Dr. Sanjay Thakur

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Recommendation systems are widely used to recommend products to the end users that are most appropriate. Online book selling websites now-a-days are competing with each other by many means. Recommendation system is one of the stronger tools to increase profit and retaining buyer. The book recommendation system must recommend books that are of buyer’s interest. This paper presents book recommendation system based on combined features of content filtering, collaborative filtering.

Keywords: Association rule, Collaborative filtering, Content based filtering, Recommendation system.

Title: Hybrid Book Recommender System for an E-Commerce Application

Author: LAKSHMI V, Dr. M.C. PADMA

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Over the last few years a new area of engineering science has been established whose products are likely to create a large market in the near future. It has been called ''biometrics". The pioneers of this new domain intend to construct devices which would allow identification of a person on the basis of his/her ''biological'' characteristics: voice, dynamics of movements, features of face and other parts of the body, retina or iris pattern. Nature has made human beings with different characteristics which may vary from one person to another. Biometric system is essentially a pattern recognition system which recognizes a user by determining the authenticity of a specific physiological or behavioural characteristic possessed by the user. Several important issues must be considered in designing a practical biometric system. First, a user must be enrolled in the system so that his biometric template can be captured. This template is securely stored in a central database or a smart card issued to the user.  The template is retrieved when an individual needs to be identified. Depending on the context, a biometric system can operate either in a verification (authentication) or an identification mode. - More traditional means of access control include token-based identification systems, such as a driver's license or passport, and knowledge-based identification systems, such as a password or personal identification number.[2] Since biometric identifiers are unique to individuals, they are more reliable in verifying identity than token and knowledge-based methods; however, the collection of biometric identifiers raises privacy concerns about the ultimate use of this information.

Keywords:  authentication, security, DNA, fingerprint, retina.

Title: Biometrics Authentication System

Author: Shwetali S Diwanji

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: Cloud computing is the use of  source computing and that are delivered as the service over a network  typically on  the internet and it gives highly scalable services to be freely consumed on  the Internet. And it is needed basis and a major characteristics of the cloud services are  user data are  processed remotely in unknown machines and  that users cannot operate. And it will become a substantial roadblock to a wide adoption of the cloud service systems. And to address this problem that we shall propose a highly decentralized answerability framework to keep track of a actual usage of the user data in the cloud. And the cloud information and user accountability and the framework was proposed in such works conducts automated loggings.  And the  distributed auditing of the relevant access performed by any of the entities, carried out at any point of time at any cloud service provider And the cloud  has two major elements are logger and log harmonizer. This  proposed methodology will also take concern about JAR file by converting the JAR into obfuscated code and  addition to that  an additional layer of security to the infrastructure and other than from which we are going to increase the security of user data by providing the data possessions for integrity verification of the cloud.

Keywords: Cloud computing, data sharing, Grid Computing, cloud deployment.

Title: Data Sharing and Ensuring Distributed Accountability in the Cloud

Author: YOGESH G S, Mr. SOMASHEKAR R, Dr. B. R. Prasad Babu

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract:  Breast cancer is the second major cause of death among women. Early detection is a key factor to reduce the cause of deaths. Ultrasound imaging is one of the most common procedures for diagnosing breast cancer due to its portability, simplicity and cost effectiveness. Microcalcifications (calcium deposits) are the earliest signs of breast carcinomas and their detection is one of the key issues for breast cancer control. Computer Aided Diagnosis (CAD) schemes was an active field of research in the past few years, and these CAD systems serve as a second decision tool for radiologists to discover Microcalcifications in the ultrasound image. This paper aims to detect the Microcalcifications in Ultrasound images. Steps of the research consist of Image Pre-processing using Median Filter and contrast enhancement, determining the ROI using Watershed segmentation, measuring the intensity, area and energy of the cancer image and classification is done using Artificial Neural Network method. The algorithm is implemented using MATLAB environment.

Keywords:  Median filter, Ultrasound, Watershed Segmentation, Artificial Neural Network.

Title: Detection of Micro Calcifications in Ultrasound Images

Author: Dr. Minavathi, Amrutha M

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract: This paper presents a camera-based label reader to help blind persons to read names of labels on the products. Camera acts as main vision in capturing the video of the product then video captured is split into frames. From sequence of frames one frame is taken and processed inter¬nally to separate label from frame using text detection algorithm. The received label image is converted to text by using OCR (Optical Character Recognizer). Once the identified la¬bel name is converted to text and converted text is output to blind users in speech.

Keywords: Assistive devices, blindness, distribution of edge pixels, hand-held objects, optical character recognition (OCR), stroke orientation, text reading.

Title: Product Label Reading System For Visually Challenged People

Author: NAGARATHNA, SOWJANYA V M

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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Abstract:  A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected facial features from the image and a facial database. It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems.

Keywords: Facial recognition, Eigen Vector, Biometrics, Euclidean Distance. Signal System, Image, Image Segmentation.

Title: Scope of Face Recognition Techniques

Author: Kavita Devi, Dimple

International Journal of Computer Science and Information Technology Research

ISSN 2348-1196 (print), ISSN 2348-120X (online)

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