Journal of Engineering Technology and Sciences

More complex multimedia coding is driven by growing technologies and the increasing need for excellent video for wireless communication. The study focuses on the application in wireless multimedia transmission using low-bit video coding. The procedure depends largely on the loss contour compression. The most important component of this region-based method is to encode and decode low-bit movies streaming through wireless multimedia. The study presents an improved technique for the B-spline, resulting in roughly 40% greater compression compared to the predominantly lossless conditional chain coding method

Keywords : Multimedia, wireless, B-splines, Video coding, Low bit rate

Author : Wang wenmin and Li shenghui

Title : Bit Rate Video Coding in Wireless Multimedia Application of Low Communication

Volume/Issue : 2024;01(01)

Page No : 01-07

In this study, a smart sensor technology based on Internet of Things for detection of mold growth in indoor/outdoor environment is presented. The developed system comprises a cloud-based web application that communicates with the sensing device, and a sensing device that comprises a case, an electronic circuit, microcontroller and sensors. The mold detection is performed by recording the 24/7 profile of temperature and humidity variations.

Keywords : Mold growth, Internet of Things, Temperature, Humidity, Web Application

Author : Samuel Vartanian, Hamid Yashar and Dr Samuel Vartanian

Title : An IOT Technology for Detection of Mold

Volume/Issue : 2024;01(01)

Page No : 08-14

In the current era of equipment, a number of potential point care devices have been developed and these have paved the way for the next generation point care test. Heart disease requires a global average of life expectancy. Heart disease factors are on the rise today due to a poor diet high in saturated fat, salt and sugar, but people have a poor lifestyle. Factors combined with complementary and advanced methods provide information that clearly shows the increasing trend of cardiovascular disease prevalence. It is very important that advanced health management is achieved by making appropriate decisions based on rapid diagnosis, intelligence data analysis and information analysis. On-site monitoring ensures that early detection of diagnoses facilitates better diagnosis, control and management of the disease. It also facilitates rapid medical decisions as the disease can be diagnosed at an early stage, leading to better health outcomes for patients, prompting them to begin treatment sooner. Currently, oral medications or invasive surgery are prescribed for the treatment of vascular disease. Large gap of drugs with new therapies for better patient outcomes. Nanotechnology provides more effective therapeutic solutions with better prognosis and reduced side effects.

Keywords : Cardiovascular diseases (CVD), Nano particles, Nanotechnology, Pharmacological therapies, medical implants biocompatibility, biomedical implantable devices.

Author : K.Surya

Title : Efficacy of Nanomaterials and Nanotechnology In Diagnosis and Treatment of Heart Disease

Volume/Issue : 2024;01(01)

Page No : 15-20

Due to the very effective treatment ratio, several researchers have been interested in platelet-rich plasma (PRP) technologies in recent years. This low economic approach of non-operation reduces discomfort, hospitalisation and the danger of limb impairment. This study seeks to investigate the function of platelet-rich plasma injection in frozen pain therapy.

Keywords : Frozen Shoulder, Adhesive Capsulitis, Pain

Author : Dr.Muhammad Ahmed Ijaz, Farman Ali and Zaffar Ali

Title : Implementation of Platelet Rich Plasma Injection

Volume/Issue : 2024;01(01)

Page No : 21-24

The conversation is regarded as a real illness. Individuals suffering from this illness employ diverse techniques to communicate with others. To interact with them, you'll need different resources. Developing a sign language application would be very helpful for deaf people, and occasionally persons who are not familiar with sign language might communicate with each other without any difficulty. Our concept uses signals to establish close communication amongst common, sour, and foolish people. This study's primary objective is to develop a perceptionbased paradigm for differentiating gestures from images. Vision-based systems are used because they provide a more straightforward and comprehensible method of human-computer communication. This study considers forty-six distinct gestures. The classification of sign language motions also made use of the video sequences' temporal and spatial aspects. Therefore, we have used two different methods for both the time and space planning. For the spatial properties of the video sequences, we used the deep CNN, or Inception model [14] (convolutionary neural network). CNN underwent image training using train outcomes video sequences. To train the model in time, we used recurrent neural networks, or RNNs. A variety of predictions for the individual frames and layouts for every recording have been simulated using the CNN model. The RNN has now been given this projection or pool layers of sequence outputs to train temporary functions.

Keywords : Wireless, B-splines, video coding, multimedia, low bit rate

Author : T.Vijay Muni

Title : Bit Rate Video Coding for Low Communication Wireless Multimedia Applications

Volume/Issue : 2024;01(01)

Page No : 25-29

Breast cancer is one of the most diagnosed cancer all over the world in women. To diagnose the breast cancer, mammography is the crucial in breast cancer showing, while ultra-sound plays significant role in imaging modalities of screening & diagnosis of cancer. It is proposed in the paper about the novel method to perceive the breast cancer lesions with ultrasound and images with the use of texton filters groups, local conformation of designstructuresandcataloguinglacking using the dissectionmethod. The proposed Successive Breast Lesion Detection algorithm is optimized exact accurate output for breast cancer image. The developing method is able to detect accurately & configure breast lesions & was achieved with perfect detection for proposed methodology. This method will be used as an efficient tool for the detection of breast nodules at the time of screening & breast imaging, making it easy for physicians to concentrate on images at the presence of lesion. This developed technique will play a key component for detection of automatic breast nodule, at the classification in the type of lesion in kind versus malevolent

Keywords : Breast cells, ultrasound images, texture features, resident binary pattern, malignant, benign, SVMtrain classifier

Author : S. Revathi and A. Veena

Title : Detection of Breast Lesion using Ultrasound Imagery

Volume/Issue : 2024;01(01)

Page No : 30-33