The prediction of the sediment loading generated within a watershed is an important input in design and management water resources projects. High variability hydro-climatic factors with generation makes modelling process cumbersome tedious. methods for estimation concentration based on properties flow have limitations attributed to simplification parameters boundary conditions. Under such circumstances, soft computing approaches proven be efficient tool concentration. focus this paper...

Rapid increase in the information technology through digitalization, leads to fast enhancement technical industry has expanded need for effective data mining. Data mining is a combination of tools and mechanisms taking out beneficial set from gigantic amount databases. three main components: Classification, Sequence Analysis, Association rule. provides various functions like; error identification, regression, clustering, classification, association rule, summarization. This machine learning...

Chronic kidney disease (CKD) is one of the serious health concerns in twenty-first century. CKD impacts over 37 million Americans. By applying machine learning (ML) techniques to clinical data, can be diagnosed early. This early detection prevent numerous loss life. In this work, data set 400 patients, available on UCI repository, are taken. Unfortunately, doesn't have an equal distribution and Non-CKD samples. imbalanced nature highly influences capabilities classifiers. Genetic Programming...

The prediction of streamflow is required in many activities associated with the planning and operation components a water resources system. Soft computing techniques have proven to be an efficient alternative traditional methods for modelling qualitative quantitative resource variables such as streamflow, etc. focus this paper present development models using multiple linear regression (MLR), artificial neural network (ANN), fuzzy logic decision tree algorithms M5 REPTree predicting at Kasol...

In today's contemporary era detection of network attacks has become the need hour due to increasing traffic over network. Data mining technique plays a vital role in searching and anomalies. These techniques help selecting refining useful relevant information from large data sets. helps classify for Intrusion Detection System. system generates alarms about foreign invasions system. following paper we have used classification intrusion order build safe Random tree, Naive Bayes, J48 forest...

The objective of image fusion is to combine relevant information from two or more images the same scene into a single composite which suitable for human and machine perception. Spatial domain based methods produce spatial distortions in fused can be well handled by use wavelet transform methods. In this paper, we proposed pixel-level scheme using multiresolution steerable pyramid transform. Wavelet coefficients at different decomposition levels are absolute maximum rule. Two important...

Regression Testing is an inevitable and very costly activity that implemented to ensure the validity of new version software in a time resource constrained environment. Execution entire test suite not possible so it necessary apply techniques like Test Case Selection Prioritization for proper selection schedule cases specific sequence, fulfilling some chosen criteria. Cuckoo search (CS) algorithm optimization proposed by Yang Deb [13]. It inspired obligate brood parasitism cuckoo species...

Regression Testing is an inevitable and very costly maintenance activity that implemented to make sure the validity of modified software in a time resource constrained environment. Execution entire test suite not possible so it necessary apply techniques like Test Case Selection Prioritization select prioritize minimum set cases, fulfilling some chosen criteria, is, covering all faults other. In this paper case reduction hybrid Particle Swarm Optimization (PSO) algorithm has been proposed....

The recent development in the internet technology is definitely a boon for society. But as far copyright protection of multimedia content, prevention unauthorized access, intellectual property rights etc. are concerned, this an area that needs immediate attention. Now days it relatively easy process to copy data available on web, modify and then put back individual well business profits. Digital Watermarking provides viable solution by embedding information, which can be further used prove...

Agile software development methodology, got importance in recent years. The agile philosophy promotes incremental and iterative design implementation. Each iterations, delivers one or more product features. Release planning is a main activity any of approach. Main factors that need to be considered are the technical precedence inherent requirements; feature's business value perceived by project stake holders, team capacity required effort complete requirement. There multiple tools available...

In this paper, LWT (Lifting Wavelet Transform) and SVD (Singular Value Decomposition) is used to design a video watermarking technique. The divided into different scenes, the last frame of each scene selected for embedding watermark. A gray scale watermark purpose. I have Histogram Difference Method dividing scenes. Each RGB converted YCbCr format, then luminance part (Y) taken inserting applied on Y component decompose it four sub parts (LL, LH, HL, HH). Then LL which decomposes U, S, V...

High-Performance Computing (HPC) projects span a spectrum of computer hardware implementations ranging from peta-flop supercomputers, high-end tera-flop facilities running variety operating systems and applications, to mid-range smaller computational clusters used for HPC application development, pilot runs prototype staging clusters. What they all have in common is that operate as stand-alone system rather than scalable shared user reconfigurable resource. The advent cloud computing has...

Data Warehouses are increasing their data volume at an accelerated rate; high disk space consumption; slow query response time and complex database administration common problems in these environments. The lack of a proper model adequate architecture specifically targeted towards environments the root causes problems. Inefficient management stored includes duplicate values column level poor sparsity which derives from low density, affects final size Warehouses. It finds that Relational...

Data mining is process of discovering potential useful and interesting pattern hidden in large data set. Spatial emerged as new era research community. Mining spatial different many aspect compare to classical data. application includes but not limited social networking, disaster management weather prediction. In this paper, a survey currently available trend techniques are presented.