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AN UPDATED K MEANS CLUSTERING ALGORITHM FOR EFFICIENT TEXT CLUSTERING
The Proportion Of Data Recorded And The Substance Information Open On The Web Has Been Shockingly Growing, Assembling And Amplifying With Consistently. Such Data And Information Which Is Available In High Voluminous Structure Is Truly Not O...
LOCATING MULTI-WAREHOUSE LOGISTICS
This Paper Proposes A Heuristic Algorithm Based On Dijkstra And Divide-and-Conquer Algorithm. Firstly, The Sub-problem Blocks Are Constructed. Existing Methods To Solve This Problem, Such As Genetic Algorithm Or Simulated Annealing Algorith...
POTHOLE DETECTION AND REPORTING
The Importance Of The Road Infrastructure For The Society Could Be Compared With Importance Of Blood Vessels For Humans. To Ensure Road Surface Quality It Should Be Monitored Continuously And Repaired As Necessary. The Optimal Distribution...
AN ANALYSIS OF BLOCK CIPHERS AND ALGORITHMS USED IN IOT
In Today’s World, Everything Is Being Connected To The Internet. This Terminology Is Referred To As Internet Of Things (IoT). Majority Of IoT Devices Are Low Resource Devices. Conventional Encryption Methods Are Not Appropriate For Such Dev...
COMPARATIVE ANALYSIS OF BLOCKCHAIN CONSENSUS ALGORITHMS
Cryptocurrenices Have Seen A Massive Surge In Popularity And Behind These New Virtual Currencies Is An Innovative Technology Called The Blockchain: A Distributed Digital Ledger In Which Cryptocurrency Transactions Are Recorded After Having...
PREDICTIVE AND PREVENTIVE MODELS FOR DIABETES PREVENTION USING HUMAN DAILY ACTIVITY RECORD
Diabetes Mellitus Or Diabetes Has Been Portrayed As Worse Than Other Disease. It Develops When There Are High Blood Sugar Levels Over A Prolonged Period. Recently, It Has Been Quoted As A Risk Factor For Developing Alzheimer, And A Leading...
ONLINE ADAPTIVE QUESTIONNAIRE
Paper Deals With 3-Tier Architecture, Of Which The Core Mainly Constitutes The Business Logic .e. Efficient Algorithms And Data Structures. The Idea Behind The System Came When It’s Been Seen That Many Existing Platform Like Hacker...
DETECTION OF DISEASES ON THE LEAF USING IMAGE PROCESSING TECHNIQUES
Producing Agricultural Products Are Difficult Task As The Plant Comes To An Attack From Various Micro-organisms, Pests And Bacterial Diseases. The Symptoms Of The Attacks Are Generally Distinguished Through The Leaves, Steams Or Fruit Inspe...
FEATURE SELECTION TECHNIQUES AND CLASSIFICATION ALGORITHMS
World Wide Web Has Led To An Immense Growth Of Information. So More Information Is Stored In Text Form. Text Mining Has Gained More Importance With The High Availability Of Information From Different Sources, Automatic Categorization Of Doc...
OPTIMIZATION OF LINEAR ANTENNA ARRAY TO REDUCE LOBE LEVEL USING GENETIC ALGORITHM FOR DIFFERENT NUMBER OF ANTENNA ELEMENT
In Communication Systems Especially In Radar And Military Communication System, A Higher Level Of Side Lobes In Radiation Pattern Causes Deterioration Of Actual Signal And Hence Affects The Antenna Power Efficiency. Therefore, Optimizati...
RECONFIGURABLE CORDIC ARCHITECTURE FOR RECTANGULAR TO POLAR CONVERSION
Fixed-angle-rotation Operation Of Vectors Is Widely Used In Signal Processing, Robotics, And Graphics. Various Opti- Mized Coordinate Rotation Digital Computer (CORDIC) Designs Have Been Proposed For Uniform Rotation Of Vectors Through Know...
REVIEW PAPER ON CORDIC ALGORITHMS
Year 2009 Marks The Completion Of 50 Years Of The Invention Of CORDIC (Coordinate Rotation Digital Computer) By Jack E. Volder. The Beauty Of CORDIC Lies In The Fact That By Simple Shift-add Operations, It Can Perform Several Computing Task...
DATA MINING APPROACH ON HUMAN ACTIVITY PATTERN MINING TO DETERMINE HEALTH RISK FACTOR USING SMART DEVICE
In This Paper, The Huge Data Growth In Biomedical And Healthcare Businesses, Accurate Analysis Of Medical Data Benefits From Early Detection, Patient Care, And Community Services. However, The Analysis Accuracy Is Reduced If The Quality Of...
A SURVEY ON MACHINE LEARNING : CONCEPT, CATEGORIES AND ALGORITHM
Machine Learning Is An Application Of Artificial Intelligence That Improves Computer Systems To Learn Directly From Examples, Data, And Experience. In Machine Learning The Computer Will Initially Performs The Task Of Training Set While Stud...
PROCESSING SKYLINE QUERIES BASED ON ENORMOUS AND INCOMPLETE DATASETS IN VARIOUS DATABASE
Personalized Recommendation And Therefore The Process Of Time Period Data Exemplify The Process Of Huge Information That Within The Field Of Internet-of-Things (IoT) Received A Good Extent Of Attention In Recent Literature. The Integrity Of...