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All Journal Bulletin of Electrical Engineering and Informatics JURNAL MAHAJANA INFORMASI Indonesian Journal of Interdisciplinary Research in Science and Technology (MARCOPOLO)
Kaur, Parminder
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Humanities Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Social Sciences

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Concurrent Access Algorithms for Different Data Structures: A Research Review Kaur, Parminder
JURNAL MAHAJANA INFORMASI Vol 2 No 1 (2017): Mahajana Informasi
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.782 KB)

Abstract

Algorithms refers to a finite set of steps, which when followed solves a number of problems and algorithams for concurrent data structure have gained attention in recent years as multi-core processors have become ubiquitous. Several features of shared-memory multiprocessors make concurrent data structures significantly more difficult to design and to verify as correct than their sequential counterparts. The primary source of this additional difficulty is concurrency. This paper provides an overview of the some concurrent access algorithms for different data structures. Keywords: concurrency, lock-free, non-blocking, mem-ory management, compares and swap, elimination
Performance analysis of convolutional neural network architectures over wireless capsule endoscopy dataset Kaur, Parminder; Kumar, Rakesh
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5858

Abstract

Wireless capsule endoscopy is one of the diagnostic methods used to record the video of the gastrointestinal tract. The endoscopy capsule stays in the digestive system for at least eight hours. It is difficult for gastroenterologists to examine such a lengthy video and identify the ailment. Convolutional neural networks (CNN) are a powerful solution to several computer vision problems. CNN can speed up the reviewing time of the recorded video by classifying video frames into various categories. The primary emphasis of this research paper is to examine and evaluate the performance of three different CNN architectures-VGG, inception, and MobileNet-in classifying the disease. Experimental results demonstrate that MobileNetV2’s accuracy is 91%, whereas InceptionV3 and VGG16 have an accuracy of 94% which is better than the accuracy of MobileNetV3. However, MobileNeV2 performed relatively better than the other CNN models in terms of computational time and cost. The model’s F-score, precision, and recall values are computed and compared also.
Effect of Blended Learning Strategy on Learning Outocmes in Science among Secondary School Students Kaur, Manpreet; Kaur, Parminder
Indonesian Journal of Interdisciplinary Research in Science and Technology Vol. 1 No. 11 (2023): Desember 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/marcopolo.v1i11.7157

Abstract

Learning should be ingrained with the creation of original academic work using a thoughtful blend of techniques. The educational process has altered in the digital age to meet the needs of our "digital natives." Today, online and offline learning are employed in tandem depending on the needs and learning styles of the students. Blended learning is the result of combining various learning modalities. This approach goes beyond the typical speed, location, and style of instruction. It gives the flexibility to the education system. It is reducing all types of situational obstacles and expanding the learning environment with a wide range of novel methods, tools, and ideas. Blended learning modules were created to investigate the impact of this method on secondary school students' attitudes toward science. A quasi-experimental approach was used, with one group being the control group that received standard care and the other being the experimental group that participated in the integrated learning strategy. The t-test was used to analysed the data. It was determined that secondary school pupils' gain scores for learning outcomes in science range significantly from one another.
Co-Authors Kaur, Manpreet Kumar, Rakesh