International Journal on Recent and Innovation Trends in Computing and Communication
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Starry Night Panorama with Advanced Feature Extraction and Star Stitching
Get PDFPanoramic photography involves merging multiple photos of the same scene, each with overlapping views, to create a detailed image. When combining astrophotography with panoramic landscapes, challenges arise from image noise and subject motion. To address this, incorporating spatially variant registration steps in the panorama process can merge several shorter exposures into a final image with reduced noise and without motion artifacts. This method tackles two main issues in creating night sky panoramas: low signal-to-noise ratio (SNR) and motion blur.Initially, the images are divided into land and sky segments. Then, potential star locations are identified from a star image. Extracting features from night images is complex, and the Scale-Invariant Feature Transform (SIFT) algorithm is chosen for its robustness to rotation, scale changes, and noise. In astrophotography panoramas, more features need extraction, and SIFT performs well compared to other methods.Next, matching star features between images with common points allows combining two short exposures. A seamless blending technique removes visible seams between merged images. Compensating for star motion involves warping images using local transformations for smooth alignment. Finally, the combined exposures are stitched into a panorama using a spherical projection method
The SENIOR-System of Nudge Theory-Based ICT Applications for Older Patients- Project: A Correlational Study About Neuropsychological and Physiological Data
Get PDFThe SENIOR project (SystEm of Nudge theory based on ICT applications for elderly citizens) was born as an advanced coaching system based on ICT aimed at the detection and management of physiological, psychological and behavioral data coming from older adults addressing the production of (bio)feedbacks related to both practiced physical and mental activities, in order to improve health factors and counteract risk ones that may threaten its balance. The SENIOR system was designed to include a "virtual coach" capable of processing data based on a machine learning process aimed at sending notifications linked to the user's physical and cognitive status. What is recorded by the technologies in use (e.g. wearables and sensors) is in fact sent to a remote server where the data is processed by software and studied to identify patterns linked to dangerous situations that may augment unhealthy attitudes (eg., sedentary lifestyles). 
Swarm based Optimization Algorithms for Task Allocation in Multi Robot Systems: A Comprehensive Review
Get PDFMulti-robot systems (MRS) have gained significant attention due to their potential applications in various domains such as search and rescue, surveillance, and exploration. An essential aspect of MRS is task allocation, which involves distributing tasks among robots efficiently to achieve collective objectives. Swarm-based optimization algorithms have emerged as effective approaches for task allocation in MRS, leveraging principles inspired by natural swarms to coordinate the actions of multiple robots. This paper provides a comprehensive review of swarm-based optimization algorithms for task allocation in MRS, highlighting their principles, advantages, challenges, and applications. The discussion encompasses key algorithmic approaches, including ant colony optimization, particle swarm optimization, and artificial bee colony optimization, along with recent advancements and future research directions in this field
Optimal Growth Strategy in a Research Organization
Get PDFFor a balanced growth of research organization, an interdependence of size, structure, functions and supporting facilities is an imperative need. This balance is often threatened during the process of growth with the result that the quantity of work suffers. The paper presents a theoretical outline of a model that can be used for the study of growth process in research organizations and thus help research planners and laboratory directors in arriving at decision relating to the development of specialized support facilities for research and integrating these facilities into a single, viable unit through proper structural changes in the organizational set-up
Occurrence of Scabies among Children and Effectiveness of an Awareness Programme on Knowledge and Practice among Mothers of Children in selected slums of Doiwala, Dehradun, Uttarakhand
Get PDFScabies is a common dermis invasion throughout the world. It is found more in developing countries and spreads very rapidly from one person to another in family members living together, schools and hospitals etc. Scabies is always an active parasite in the human body which is spread by a mite called Sarcoptic. The WHO described scabies as an illness that is affecting people's lifestyles but is a neglected disease. The research was to identify the occurrence rate of childhood scabies and improve the understanding and practices of the mothers of child regarding scabies. An experimental investigation was performed employing one group pre-test & post-test design to assess occurrence of scabies among children and to evaluate the impact of an awareness initiative regarding scabies among mothers of children of slum area of Doiwala. Data were collected by symptoms checklist, knowledge questionnaire and practice checklist. Scabies affected 8% of children aged 1 day to 12 years. Post-test knowledge (20.01±1.9) significantly surpassed pre-test (10.89±2.6) (t=40.21, p<0.05). Post-test practice (16.12±1.6) significantly improved over pre-test (11.07±2.5) (t=26.78, p<0.05). Knowledge and practice correlated moderately positively (0.6)
Prediction of Machining Conditions Using Machine Learning
Get PDFThe new blast of Machine Learning (ML) and Artificial Intelligence (AI) shows extraordinary expectations in the forward leap of additive manufacturing (AM) process displaying, which is an important step toward determining the cycle structure-property relationship. The advancement of standard AI apparatuses in information science was primarily attributed to the extraordinarily huge amount of named informational collections, that may be obtained throughout the trials or first-rate reenactments. To completely take advantage of the force of AI in AM metal while lightening the reliance on "enormous information", everybody set an Improved Neural Network (INN) structure if the wires the two information and first actual standards include the preservation laws of energy, mass, and energies, towards the NN to illuminate the growing experiences. We suggest compressed-type strategies in the Dirichlet limit regulation in light of a Heaviside capability, that may precisely uphold the BCs and speed up the growing experience. The hotel structure was applied to two agent metal assembling issues, that includes the NIST AM-Benchmark series test. The examinations show that the Motel, owing to the extra actual information, may precisely foresee the temperature and also liquefy pool elements throughout the AM processes in metal along a moderate measure of named informational collections
“Optimization of Droplet Routing in Digital Microfluidic Biochips using the Concurrent Manhattan Routing with Stalling and Detouring (CMRSD) Algorithm”
Get PDFThe Concurrent Manhattan Routing with Stalling and Detouring (CMRSD) algorithm revolutionizes existing routing methodologies in Digital Microfluidic Biochips (DMFBs) by introducing innovative features to enhance efficiency and robustness. This algorithm initiates concurrent routing, enabling simultaneous droplet movement, and thereby reducing completion time. Stalling mechanisms resolve conflicts effectively by temporarily halting droplet movement, while prioritization based on Longest Manhattan Distance optimizes routing by tackling challenging routes first. Moreover, detouring strategies provide flexibility in route planning, ensuring adaptability to dynamic conditions. Through extensive experimentation and analysis, the CMRSD algorithm demonstrates remarkable performance in minimizing contaminations, optimizing route lengths, and streamlining droplet transportation in diverse scenarios
Development of Apple MRI Dataset for Internal Quality Analysis
Get PDFInternal quality assessment of agricultural products is a challenging task for exporting premium quality agri products like apple fruits. In this paper, we have analyzed the internal quality of apple fruits by a non-destructive method. We have developed our dataset of MR images of apples by subjecting 21 apples to MRI scanning for the development of robotics detection of internal defects in apples. This MRI scanning led to 196 MR images. A comparative study was carried out based on MRI images with respective external photographic images of apple fruits. Depending on external as well as internal defects the apples were grouped into four categories. Through this study, we can easily identify the percentage and area of the defect without affecting the physical appearance of the apple
Artificial Intelligence (AI) and Trademarks - Branding in the Age of Automation
Get PDFTechnological breakthroughs are driving a dramatic shift in the corporate landscape, and the convergence of AI and trademarks is becoming a vital frontier in the branding space. This article delves into the changing landscape of branding in the era of automation by examining the dynamic convergence between AI and trademarks. The essay starts with a summary of the significant influence AI has on the registration and maintenance of trademarks, then it looks at the potential and problems that exist at the intersection of these two important fields. The piece also discusses branding’s future, projecting trends and providing advice for companies navigating this quickly evolving market. The difficulties and inadequacies in handling AI-generated trademarks are shown by a comprehensive examination of the legal ramifications and the current regulatory frameworks. The best practices section of the essay highlights the importance of ethical concerns while using AI-driven branding tactics. This article offers a thorough guide for comprehending, navigating, and prospering in the dynamic world of AI and trademarks as companies work to adapt and develop
Bidirectional Braille Transcription for Kannada and Telugu text using Natural Language Processing
Get PDFIn today's modern society, where information is readily accessible through various sources such as the internet and newspapers, individuals with visual impairments encounter significant challenges in accessing this wealth of knowledge. Unlike their sighted counterparts who effortlessly stay informed about current events and knowledge, visually impaired individuals face obstacles in harnessing this information. To address this disparity, there is an urgent need to develop a system that enables the bidirectional conversion of natural language text into Braille, thereby offering enhanced learning opportunities for the visually impaired. This paper presents a pioneering approach to bidirectional Braille transcription for Kannada and Telugu texts, employing advanced Natural Language Processing (NLP) techniques exclusively on text-based data. Given the essential role of Braille transcription in enabling visually impaired individuals to access text, the complexity of Indian scripts like Kannada and Telugu poses unique challenges. Our proposed system utilizes state-of-the-art NLP algorithms to facilitate accurate and efficient translation between printed text and Braille. The methodology encompasses tailored preprocessing steps addressing the intricate orthographic structures of Kannada and Telugu, alongside a robust transliteration engine for converting text to Braille, and an inverse transcription mechanism to revert Braille back to standard text. Through comprehensive testing on diverse text samples, the system demonstrates high accuracy and reliability. This research significantly enhances accessibility for visually impaired Kannada and Telugu speakers and sets a precedent for the application of advanced NLP techniques in regional language Braille transcription