Arjan Singh

Punjabi University, Patiala · Department of Mathematics

Image thresholding is one of most effective segmentation approaches, and multilevel thresholding approach is widely applied for segmentation. Multilevel thresholding segments the input image into different regions through multiple thresholds. In multilevel thresholding, the main goal is to search optimal threshold values for segmenting the given im...

Cloud computing and the Internet of things (IoT) are two diverse technologies having complimentary relationship. The IoT generates massive amounts of data, and cloud computing provides a pathway for that data to travel to its destination. In the modern era, by integrating cloud computing and the Internet of things, a new paradigm has been introduce...

Medical images form a vital part of a patient’s record in medical centers. Medical imaging devices generate data with huge memory requirements. Medical image compression is mandatory for storage and communication of medical data for the purpose of diagnosis. Compression removes the extraneous and redundant data in an image to reduce the storage cos...

Image thresholding is one of the most important approaches for image segmentation. Among multilevel thresholding techniques, cross entropy has been widely used by researchers to find multilevel threshold values. In multilevel cross entropy thresholding techniques, main target is to find an optimal combination of threshold values at different levels...

Segmentation of an image is used to separate the image into several significant parts based on properties of discontinuity and similarity. Segmentation of an image is generally done with the help of thresholding technique. Thresholding is used to turn an image from gray scale to binary. The selection of suitable threshold value in the image is a ch...

Data allocation plays a significant role in the design of distributed database systems. Data transfer cost is a major cost of executing a query in a distributed database system. So the performance of distributed database systems is greatly dependent on allocation of data between the different sites of the network. The performance of static data all...

Allocation of data is one of the key design issues of distributed database. A major cost of query execution in a distributed database system is the data transfer cost from one site to another site. The allocation of fragments among the different sites over the network plays an important role in performance of the distributed database system. The ma...

Summary Allocation of data or fragments in distributed database is a critical design issue and requires the most effort. It has the greater impact on the quality of the final solution and hence the operational efficiency of the system. Performance of the distributed database system is heavily dependent on allocation of data among the different site...

In the past few years there is a change in the view of high performance applications and parallel computing. Initially such applications were targeted towards dedicated parallel machines. Recently trend is changing towards building meta-applications composed of several modules that exploit heterogeneous platforms and employ hybrid forms of parallel...

Summary Circuit partitioning problem is a well known NP hard problem. The potential of Genetic Algorithm has been used to solve many computationally intensive problems (NP hard problems) because existing conventional methods are unable to perform the required breakthrough in terms of complexity, time and cost. This paper deals with the problem of p...