Keeping the demand of Infotainment programs, the media houses started producing news magazines, entertainment magazines and news programs for different channels. Within a short span of time news journalism became so popular in Kerala and now more and more media houses were planning to setup their news channels in the state. By several measures news channels has come to realize the potential for news broadcasting. Each network has dramatically expanded their news programming over the decades and TV news producers take great pains to make their stories visually appealing to present news instantaneously and to make viewers feel they are a part of the events shown. New computerized graphical techniques present technical and statistical data in compelling formats. Broadcast organizations routinely conduct researches to keep up to date on what audiences preferences about the news and continuous feedback also make television an ideal medium to satisfy the demands of the people. In addition to the presentation of more news in more technically advanced formats, there's an audience presumably better able to understand news. Thus the study will find out the characteristics and preferences of news viewing population in Kerala.
Keeping the demand of Infotainment programs, the media houses started producing news magazines, entertainment magazines and news programs for different channels. Within a short span of time news journalism became so popular in Kerala and now more and more media houses were planning to setup their news channels in the state. By several measures news channels has come to realize the potential for news broadcasting. Each network has dramatically expanded their news programming over the decades and TV news producers take great pains to make their stories visually appealing to present news instantaneously and to make viewers feel they are a part of the events shown. New computerized graphical techniques present technical and statistical data in compelling formats.
Patent Number: 202141024018, Applicant: Dr. M. Kasiselvanathan.
In this era, navigation continues to be a vital component in both outdoor and indoor environments, and many solutions have been given in both cases. Usually GPS is used for navigation, but in an indoor or underground environment, its signal is almost never available. In this work, we used LiDAR (Light Detection And Ranging) sensor and IMU sensor. LIDAR sensor is a famous remote sensing strategy utilized for estimating the specific distance of an item on the world's surface.
As healthcare systems evolve to become more digital, an enormous volume of medical data is available in various formats, including unstructured data, scanned documents, handwritten prescriptions, diagnostic images, audio transcriptions, and clinical video recordings. The complexity and unorganised form of data continue to pose serious challenges with regard to automation, accuracy, and consistency in healthcare and insurance businesses. This study introduces an AI-based multimodal framework that incorporates the use of Optical Character Recognition (OCR), the MiniCPMV-4.5 model, and Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs) to enhance the intelligent processing and contextual comprehension of intricate medical data, thus overcoming these limitations. It applies OCR to scanned images and handwritten documents to precisely recover the textual information from them and uses domain-specific named entity recognition (NER) to recognize significant medical information, e.g., patient information, diagnoses, procedures, and financial information. The extracted information is then converted to vector embeddings and stored in a powerful vector database, Milvus, that enables fast and efficient semantic search as well as context-sensitive reasoning. The proposed framework, along with the visual and auditory inputs, video understanding, multilingual capacity, and the S2S (speech-to-speech) and TTS (text-to-speech) translation, makes it more accessible and engaging to the user. This system reduces the level of human involvement and provides real-time insights quickly and more precisely so that more efficient decisions and operations can be made in the fields of healthcare and insurance. 2025 IEEE.
There is an increasing need for the development of environmentally viable, economically effective, highly active and renewable catalytic systems for the various applications in the industrial field. The demand for the decolorisaion of synthetic dyes using bioremediation methods has been in a decreased mode due to its lower decomposition rates. Hence in recent years the decomposition of these organic colorants considered to be a worldwide need. The term nanocatalysis has gained huge importance in recent years due to its selectivity, higher activity, and productivity compared to their bulk materials. The nanosize, shape, and large surface to volume ratio provide unique properties to the nanomaterials. The principles of green chemistry are mainly relies on the development of catalytic systems that work similar to nature. Nanocatalyst combines both homogeneous and heterogeneous catalysis and provides rapid and selective chemical transformations with high yield and easier separation of catalyst at the end of reaction. In this work we have synthesized various metal doped magnetite nanoparticles (Ferrite nanoparticles-NdMxFe3-xO4 where M (Mn, Co, Cu, Ni)) by precipitation and hydrothermal method. The one objective of this work was to check the photocatalytic application of prepared ferrite nanoparticles for the heterogeneous photo-Fenton degradation of MB and Rh B dyes. Each dye was degraded separately under visible light and dark with the assistance of neutral pH and H2O2, in order to shows the improved activity of catalysts under visible light. The degradation experiments using the photo-Fenton systems (Fe2+/H2O2/Visible light) suggested that, the highest degradation rate was 97% for MB and 81% for Rh B within 4h and the used catalyst was NdFe3-xCuxO4, a good photo-Fenton catalyst. . We have also tried the synthesis of core- shell nanoparticles using NdFe3O4 nanoparticles with the help of polyethylene glycol as dispersing agent. The synthesized samples were characterized by various techniques like, XRD, XPS, SEM and TEM.
