Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

Hybrid step size based cuckoo search

Abstract: Cuckoo Search is a metaheuristic optimization method which uses obligate brood parasitic conduct of cuckoos Successive moves (steps) of a cuckoo are basically drawn from a process which uses biased random walk and follows power law step-length distribution with a heavy tail Therefore, quick convergence and precision cannot be assured in most of the cases To resolve the convergence and accuracy problem this paper proposes a novel cuckoo search method which uses Levy flight and Gauss distribution in alternate iteration along with variable P a and a The experimental outcomes validate that the proposed method outperforms the existing methods

Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots

Abstract: Drone-based dynamic model and control techniques vary from classical linear proportional integral derivative (CPID) to complex nonlinear multiconstrained and multi-objective schemes such as backstepping, sliding window mode, size-based models, and operation-based models, among others. These approaches can be classified as per their usage. Thus, some will be efficient for indoor operations, and others will be useful for outdoor operations. The performance of both types of drone-based smart healthcare systems can be measured in terms of stabilizing the attitude for both indoor and outdoor operations as per requirements. Further, gain-based drone scheduling is commonly used in flight controllers. In COVID-19 pandemic situations, the gains can be measured using an alternative way. Here, different parameters like medication advantage to COVID-19 pandemic areas, identifying the COVID-19 hotspots, sanitizing requirements and potentials, finding the COVID-19 chain, etc., could be considered in gain measurement for the deployment of drone-based COVID-19’s smart healthcare. This work proposes a multi-constraint and multi-objective gain-based simulation-optimization approach for scheduling the linear and nonlinear dynamic and controllable drone movement models. The proposed model considered the identity-based lower and upper limits of control interface. Further, this interface is having the provision to include some human factors in its execution. The performance of the overall system is measured using performance and security metrics. In performance, drone-based smart healthcare systems’ efficiency, accuracy, and effectiveness are measured. The measurements are analyzed by varying optimization parameters. In the security, lightweight cryptography primitives and protocols are analyzed for performance measurements. These lightweight cryptography primitives and protocols ensure secure data storage, transmission, and processing at any device. Further, the scope of centralized and distributed systems of drone cooperations for COVID-19 monitoring, sanitization, cleaning, and control room will be explored to have time-saving and autonomous drone-based smart healthcare systems.

Efficient Textual Web Retrieval using Wavelet Tree

Abstract: Searching on the web is one of the most progressive and expanding field nowadays. A large amount of information is available on the World Wide Web, motivating the need of efficient text indexing method that support fast text retrieval. In the past, two main indexing techniques: Signature files and Inverted files have been proposed. First require much larger space to store index and are more expensive to construct and update than inverted files. Second has been efficiently implemented using different structures like Sorted array and B-Tree. Sorted array was very expensive in updating the indices while appending a new keyword and B-tree method breaks down if there are many words with the same prefix. This paper presents a modified index structure for text retrieval that keeps a good result to optimize the space needed to store and time to search document. The proposed index is designed using the Wavelet Tree WT, which was originally designed as wavelet transform for images. Experimental results show that on increasing the query length, the WT based index performs better than others.

Video annotation tools: A Review

Abstract: Due to the advancements of Machine learning and vast usage of multimedia data, the image and video annotation has become quite popular now. In the area of image annotation, the researchers and specially Microsoft research lab have achieved nearly 98% accuracy. But same is not true for the video annotation. This paper presents a review of the state of the art tools being used for video annotation.