light symmetric key management schemes‚ especially in the scenarios of RFID‚ are still at an initial phase and call for enormous research efforts. We propose a certificate revocation status validation scheme called EKA2‚ using the concept of clustering from data mining to evaluate the trustiness of digital certificates. Keywords— Authentication Scheme‚ RFID‚ VANETs. EXTENDED ABSTRACT T HERE HAS been growing interest in developing secure and convenient driving conditions in the past
Premium Certificate authority Wireless Public key infrastructure
“EXTRACTION AND QUANTIFICATION OF BRAIN TUMOR FROM MRI IMAGE” CHAPTER 1 INTRODUCTION 1.1 GENERAL: The principle task of our project is to recognize a tumor and its quantifications from a particular MRI scan of a brain image using digital image processing techniques and compute the area of the tumor by fully automated process. In medical imaging‚ segmentation of images plays a vital role in stages which occur before implementing object recognition
Premium Image processing Magnetic resonance imaging Cancer
IMPLENTING K-MEANS ITERATION CLUSTERING IN HADOOP MAP/REDUCE A PROJECT REPORT Submitted by ABIRAMI.R (100105311003) BABY LALITHA.S (100105311008) NITHYA.C (100105311043) RADHA.S (100105311048) in partial fulfillment for the award of the degree of BACHELOR OF ENGINEERING in COMPUTER SCIENCE AND ENGINEERING
Premium Java
CAPSTONE PROJECT FORMAT CAPSTONE PROJECT TITLE (BOLDFACE); MUST NOT EXCEED THREE LINES‚ UPPER LINES MUST BE LONGER THAN LOWER LINE OR THE TITLE MUST FOLLOW THE INVERTED TRIANGLE FORMAT A Capstone Project Submitted to the Department of Information Technology‚ Institute of Engineering and Applied Technology‚ Bulacan Agricultural State College In Partial Fulfillment of the Requirements for the Degree Bachelor of Science in Information Technology by Author M. LastName Year
Premium Typography Citation
1. What is your opinion of Ford’s strategy (up to and including the development of the Ka) in the small car market in France? i) Ford made its presence in small segment car (less than 390 cms) with its Ford Fiesta model which was one of the top 5 selling cars in small segment in France and top 3 in Europe. ii) With market getting highly segment and competitors’ move to come up with models as per requirement of highly fragment segment made Ford to decide to come up with new model to target
Premium Ford Motor Company Factor analysis Principal component analysis
crosses multiple crowdedness spot. To achieve the fundamental aspiration of mobility based clustering there are some principle to be considered. Initial is to describe the character and assess the vehicle crowdedness of a region. Next one is to picture the crowdedness spread of the city and recognize the problem areas and third is to investigating the development of crowdedness spots. A vehicle which has upraised movability can to a great extent allocate a down crowdedness and the other way around
Premium Management Traffic Vehicle
.......................................................................................... 3 2.0 Related Works ............................................................................................................................. 4 2.1 Clustering analysis .............................................................................................................. 4 2.2 K-Means algorithm ...................................................................................................
Premium Cluster analysis Machine learning Data mining
standard application of cluster analysis‚ but it can also be used in different‚ sometimes rather exotic‚ contexts such as evaluating typical supermarket shopping paths or deriving employers’ branding strategies. MEANING: Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups (clusters). It is a main task of exploratory data mining‚ and a common technique for statistical data
Premium Cluster analysis Data mining
the pattern matching that explore the cluster algorithm and place the similar pattern in the cluster. It highlights the important issues related and shows the possible direction of future research. Keywords- Artificial neural network‚ Data clustering ‚data compression‚ data mining ‚exploratory analysis‚ pattern matching. I. INTRODUCTION The modern usage of the term neural network is refers to artificial neural networks‚ which are composed of artificial neurons or nodes Artificial neural
Premium Machine learning Artificial neural network Data mining
Expression Data | 8 | | 1.2.3 Applications of Clustering Gene Expression Data | 9 | | 1.3 Mutual Information | 10 | | 1.4 Introduction to Clustering Techniques | 11 | | 1.4.1 Clusters and Clustering | 11 | | 1.4.2 Categories of Gene Expression Data Clustering | 11 | | 1.5 Semi-supervised Learning | 12 | | 1.5.1 Semi-supervised Classification | 12 | | 1.5.2 Semi-supervised Clustering | 13 | | 1.6 Motivation of the Project | 14
Premium Gene Gene expression Tour de Georgia