Arvind Yadav

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• PhD
• Associate Professor at Nirma University

Flight controllers play vital role in stability, performance and control operations of a drone throughout the flight. Inappropriate flight controller selection can jeopardize both the drone and its payload, making it imperative to address the meticulous choice of drone flight controllers for specific applications. This work delves into the behavior...

Kidney illness constitutes a category of many serious persistent diseases that can affect an individual. Early diagnosis of this condition is critical for effective therapy. Kidney tumors are the 2nd most common type of urological tumor. They come in a variety of forms, the majority of which are cancerous. In comparison to the laborious and lengthy...

The issues of finding a suitable loss function for perceived similarity and enhancing perceptual quality in substantially compressed videos still need to be resolved. The LIGAN-Conv-LSTM is a convolutional long-short-term memory system that integrates a loss-initialised generative adversarial network. This system was developed to address the challe...

The maximum amount of sensor energy is consumed during broadcasting. Hence in order to make delay with the network lifetime of a wireless sensor network (WSN), there is a need of optimum utilization of sensor energy. Scheduling in media access control (MAC) layer plays a critical role in the designing of WSN to avoid collision and conserve more ene...

Several popular time-frequency techniques, including the Wigner-Ville distribution, smoothed pseudo-Wigner-Ville distribution, wavelet transform, synchrosqueezing transform, Hilbert-Huang transform, and Gabor-Wigner transform, are investigated to determine how well they can identify damage to structures. In this work, a synchroextracting transform...

This article deals with the design and development of a seaweed-based paper battery, synthesized using different material coatings. Batteries have a high potential to power up the next generation of medical devices, electronics and hybrid vehicles but it require high working capacity. With the presence of several deficiencies like a regular, fluctu...

Futuristic Projects in Energy and Automation Sectors is a review of analyses on energy transitions in power grids and the opportunities and challenges for building sustainable energy systems to improve human capabilities. 14 chapters examine renewable energy-based and automated systems, with a focus on projects that are designed with sustainability...

Industrial machine-vision (MV) applications require high-speed stitching of low-textural images from multiple high-resolution cameras for Field-of-View expansion. The most vital step in the stitching process is the effective and efficient extraction of features, which becomes challenging for low-textural images. This paper presents a comparative st...

Fog computing is one of the prominent technology that bridges the gap between IoT nodes and cloud servers. For increasing the efficiency at the fog level, a fog federation can be employed. Fog federation at the fog level can be controlled by the fog coordinator. However, the information exchange between the fog coordinator and IoT nodes needs to be...

Since the introduction of drone technology, it has caught the attention of researchers across the world for utilizing it in different areas. But as it is known the same drone cannot be used for all the applications as each and every application has its own unique challenges and requirements. The existing literature emphasizes the use of sophisticat...

The fusion of visible and infrared images of the same scene results in a single fused image that can provide a more detailed interpretation of the situation. With the help of energy compression and multiresolution characteristics of wavelets, which fuse the salient features such as edges and textures from source images without introducing any artif...

The integration of IoT with the cloud infrastructure is essential for designing smart applications. However, such integration may lead to security issues. Authentication and session key establishment is an essential security requirement for secure communication between IoT devices and cloud servers. For evaluating authentication key agreement schem...

Background Medical image fusion methods are applied to a wide assortment of medical fields, for example, computer-assisted diagnosis, telemedicine, radiation treatment, preoperative planning, and so forth. Computed Tomography (CT) is utilized to scan the bone structure, while Magnetic Resonance Imaging (MRI) is utilized to examine the soft tissues...

Shadow leads to failure of moving target positioning, segmentation, tracking, and classification in the video surveillance system thus shadow detection and removal is essential for further computer vision process. The existing state-of-the-art methods for dynamic shadow detection have produced a high discrimination rate but a poor detection rate (f...

Image processing is a vital task. Image processing is very useful in analyzing, detecting, surveillance systems, etc. The most challenging task in detection and surveillance systems is capturing and enhancing images during dark light. Nighttime low-illumination image enhancement is desired for outdoor computing vision applications. Nighttime image...

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Traffic flow prediction is a basic aspect to be considered in transportation management and modeling. Attaining precise information on near and current traffic flows has an extensive range of appliances and it further aids in managing the congestion. Numerous conventional models failed at offering precise prediction results due to “shallow in archi...

Maneuvering a steady on-road obstacle at high speed involves taking multiple decisions in split seconds. An inaccurate decision may result in a crash. One of the key decisions that need to be taken is can the on-road steady obstacle be surpassed. The model learns to clone the driver’s behavior of maneuvering a non-surpass-able obstacle and pass thr...

Shadow detection and removal are an important process for the further progression in computer vision method, i.e., tracking, recognition, classification, etc. Vehicle counting system in traffic management is not able to count exact number of vehicles without shadow detection and removal especially during evening time. Due to strength of shadow in e...

Numerous damage detection methods have been discovered to provide an early warning at the earliest possible stage against structural damage or any type of abnormality in the wind turbine system. In this paper, a comprehensive literature review is carried out in the field of damage detection for wind turbine systems. Several modern signal processing...

During winter season, in foggy environment, accidents are evident on national highways and many people succumb to death due to these accidents especially in Northern and Eastern region of India. To avoid such accidents, the authors have proposed a Raspberry Pi-based image processing approach to save the life of human being. An ultrasonic sensor det...

India declared nationwide lock-down on March 24, 2020. The time was crucial for academic institutions usually bustling with semester-end examinations. This paper is an attempt by engineering faculty members to share their experience with the process of online examination amid the pandemic. The primary aim is to facilitate process documentation for...

This paper presents an approach to segment the light microscopic images of hardwood species and then extract only the vessel elements out of the images. In this work, an effort was made to propose a platform-independent tool based on simple digital image processing technique to quantify wood conduits (especially vessel elements at present). A proto...

The increasing number of terrorist acts and lone wolf attacks on places of public gathering such as Hotels and Cinemas has solidified the need for much denser Closed-circuit Television (CCTV) systems. The increasing number of CCTV cameras has deemed it almost impossible for a human operator to inspect all the video streams and detect possible terro...

The increasing number of terrorist acts and lone wolf attacks on places of public gathering such as Hotels and Cinemas has solidified the need for much denser Closed-circuit Television (CCTV) systems. The increasing number of CCTV cameras has deemed it almost impossible for a human operator to inspect all the video streams and detect possible terro...

Gujarati language belongs to the Devanagari family; consists of characters and digits with typically sharp curves and few of them have similar shapes. Misrecognition of Gujarati Handwritten characters are mainly due to the existing similarities in their shape. To enhance reading capabilities of handwritten Gujarati characters and reducing optimal t...

The texture of an image plays an important role in identification and classification of images. The hardwood species of an image contains four key elements namely: vessels (popularly known as pores in cross-section view), fibres, parenchyma's and rays, useful in its identification and classification. Further, the arrangements of all these elements...

This paper presents an approach for generating a binary wavelet transform-based completed local binary pattern (BWTCLBP) texture descriptor to improve the classification accuracy of microscopic images of hardwood species. Firstly, gray-level slicing method is used to obtain eight (b0–b7) bit planes from grayscale image. Then, the two-dimensional bi...

Temperature is most significant vital sign in human body regulation system if this increases at certain level it may be dangerous because temperature support whole immune system, also supporting the healing process. However, high temperature causes serious reimbursements to the human body. Therefore, in this paper, authors propose a non-contact tem...

A simple and efficient discrete wavelet transform (DWT) based first-order statistical (FOS) texture descriptor is proposed in this paper to accurately classify the microscopic images of hardwood species. Primarily, DWT decomposes each image up to 8 levels using selected Daubechies (db1- db10) wavelet as a decomposition filter. Subsequently, four FO...

In this work, discrete wavelet transform (DWT) based hybrid texture feature extraction techniques have been used to categorize the microscopic images of hardwood species into 75 different classes. Initially, the DWT has been employed to decompose the image up to 7 levels using Daubechies (db3) wavelet as decomposition filter. Further, first-order s...

This paper presents a texture feature based approach for hardwood species classification. The three existing feature extraction techniques such as local binary pattern (LBP), local configuration pattern (LCP) and local phase quantization (LPQ) are integrated here with Gaussian image pyramid (GIP) which results in improvement of classification accur...

In this paper, multiresolution local binary pattern (MRLBP) variants based texture feature extraction techniques have been proposed to categorize hardwood species into its various classes. Initially, discrete wavelet transform (DWT) has been used to decompose each image up to 7 levels using Daubechies wavelet (db2) as decomposition filter. Subseque...

The work proposes to introduce Coiflet discrete wavelet transform (DWT) family, to extract features of microscopic images of hardwood species in order to classify them into 25 different hardwood species. The images are being decomposed into 3 levels using Coiflet DWT family. Overall 48 features are obtained for each of the images with mean, standar...

In this paper, an approach for the classification of different hardwood species of open access database, using texture feature extraction and supervised machine learning technique has been implemented. Edges of complex cellular structure of microscopic images of hardwood are enhanced with the application of Gabor filter, and Gray Level Co-occurrenc...

In this paper, a algorithm based video watermarking scheme in the discrete wavelet transform (DWT) domain is proposed. Scene change analysis is first conducted to decompose video into different scenes. Each frame of the video is transformed to wavelet domain by DWT. The watermark image is decomposed into 8-bit planes, scrambled and embedded into th...