Raksha Pandey - Academia.edu (original) (raw)

Papers by Raksha Pandey

Lecture notes in electrical engineering, 2024

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC)

International journal of scientific research in computer science, engineering and information technology, Sep 30, 2017

Grid computing is considered as a very high performance computing environment to solve complex co... more Grid computing is considered as a very high performance computing environment to solve complex computational problems. It comprises of job scheduling, security, resource management, information management. The scheduling concept is needed for better management of resources. Scheduling refers to order of jobs which satisfy the metrics like satisfaction of user, completion time etc. Better scheduling policy in grid computing helps in improving performance, computational cost, load balancing and increases reliability and availability of resources. This paper end up with brief description of existing scheduling algorithms by considering different metrics used to prove importance of existing techniques.

Grid computing environment is used for large computation problem. In Today’s world various comple... more Grid computing environment is used for large computation problem. In Today’s world various complex tasks has been done in different scientific area so there is need of a lot of computational power to solve different types of complex scientific problems. Although Humans have good brain but still can not able to solve complex scientific problems as computers can. Grid’s High performance computational environment is a good Solution. Performance of Grid is Based on various Constraints as the resource’s bandwidth, resource’s computational power, File size of jobs, the locations of components and so on. In this paper we are giving brief introduction of Grid Computing and some simulation tools used in Grid Area.

Grid computing is the ultimate framework that provides a high performance computing environment t... more Grid computing is the ultimate framework that provides a high performance computing environment to meet growing and larger scale computational demands. Resource management and job scheduling are critical tasks in grid computing. Resource selection becomes challenging due to heterogeneity and dynamic availability of resources. This paper gives brief introduction of grid computing and its various applications. The main focus is to awareness in the area of grid computing. Little bit information also given about experimental tool kit like Gridsim.

Communications in Computer and Information Science, 2018

Deep learning has been employed in a number of tasks. Taking inspiration from detection of tumors... more Deep learning has been employed in a number of tasks. Taking inspiration from detection of tumors in medical tiff images, we had an idea of doing the same with other objects such as vegetables and plants which get affected by disease very often and still there are not many feasible approach of its detection. In this paper we present a practical approach to grade potato and classify the defects that might be present. We have used U-Net for segmentation of image containing on an average 50–60 potatoes. A physical object (marker) of known length is present along the potatoes for length reference. The U-net segmented result is then processed by computer vision algorithms (Distance transformation and watershed) to get the actual skin of the object of interest. After that we have used transfer learning to classify the skin for a number of defects such as greening, mechanical defect, rotting, sprouting etc.

International Conference on Computer Networks and Communication Technologies, 2018

Nowadays, grid computing is a recognized name in the area of computation. Grid computing provides... more Nowadays, grid computing is a recognized name in the area of computation. Grid computing provides a strong platform for the jobs demanding high computational power. Resource scheduling and job scheduling are two broad categories of grid computing. A lot of work has been done in this area. In this paper, we present a new job scheduling algorithm which focuses on standard round-robin algorithm with the addition of new “Enhancement Factor”. The experimental evaluation shows that the proposed algorithm reduces Average Waiting Time and Average Turnaround Time, and it takes very less time to process the jobs than other existing algorithms.

Advances in Power Systems and Energy Management, 2021

Innovative Data Communication Technologies and Application, 2020

Recognition of emotion using facial information is an interesting field for computer science, med... more Recognition of emotion using facial information is an interesting field for computer science, medicine, and psychology. Various researches are working with automated facial expression recognition system. Convolutional neural network (CNN) for facial emotion recognition method is basically used to recognize different-different human facial landmarks, geometrical poses, and emotions of faces. Human facial expression gives very important information to understand the emotions of a person for an interpersonal relationship. Since it is a classification problem, so the performance of any classifier is dependent on features extracted from the region of interest of the sample. In this paper, we are going to train the machine to recognize different types of emotions through human facial expressions using the Convolutional Neural Network (CNN). We have used sequential forward selection algorithms and softmax activation function.

2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017

Grid computing is utilized in variety of computational areas now-a-days. It is the next generatio... more Grid computing is utilized in variety of computational areas now-a-days. It is the next generation of distributed computing. In grid computing, we try to integrate many heterogonous, geographically distributed computing systems into one. All the systems in the grid are linked together to provide better resources. Hence, we can use resources of any system, which is in grid, for our task. This paper presents a job scheduling algorithm that can utilize the resources in efficient way.

Round Robin Algorithm is a scheduling algorithm in Operating system, used for multitasking system... more Round Robin Algorithm is a scheduling algorithm in Operating system, used for multitasking systems. In RR algorithm, all the process having same priority and a time quantum after that process is prevented. It executes in ideal way in multitasking systems and each process will be having a same quantity of static time quantum. Based on Time quantum the efficiency of RR algorithm is determined. A complete study and implementation Round Robin algorithm is done and the advance and new version of RR algorithm by allocating the processor to processes in round robin manner using the possible time slice. Computation of the quantum is done by square root of the multiplication of average of the burst time and highest burst time. The practical result of this algorithm also shows that it is better than the Round Robin algorithm by the reduced context switches, diminishing aggregate turnaround time and the average wait time.