Journal of emerging technologies and innovative research, Sep 1, 2021
To stay up to date with the quickly developing need of people, mechanical technology and mechaniz... more To stay up to date with the quickly developing need of people, mechanical technology and mechanization assumes an unmistakable part all through. The paper presents a model which empowers the controlling of the robot distantly by means of cell phone through Double Tone Multi Frequency (DTMF) decoder. DTMF is perhaps the latest and cutting edge innovation for of information transmission. It is more effective and better than the Bluetooth and Wi-Fi as in the scope of DTMF is extremely huge for example the gadgets can be worked through DTMF independent of the geological area of the individual controlling it; additionally, DTMF is coordinated communication not at all like Bluetooth in which up to 7 gadgets can be matched and Wi-Fi where very nearly 10 gadgets can be subsequently giving greater security to the channel through which information is being sent. DTMF ordinarily discovers its utilization in protection observation just as call focuses. The utilization of DTMF can be additionally reached out by utilizing this innovation in everyday life, for instance, for contrastingly capable individual this can fill in as their allinclusive arm permitting them to screen their homes from one spot and in any event, assisting them with picking and hold things by observation .
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy, Jan 20, 2015
Image fusion has found many applications in computer vision, remote sensing, intelligent robots a... more Image fusion has found many applications in computer vision, remote sensing, intelligent robots and military purposes. The use of different image fusion algorithms gives precise resultant images.In many remote sensing applications, the quantity of image data from the satellite sensors has been increasing because of advanced sensor technology.To avoid the limitations of single sensor images, multisensory image fusion provides the data that is suitable for further applications by eliminating the problem of lack of information. In this paper, a literature review has been made based on different techniques for combining multispectral images available. It includes IHS transform, High Pass filtering, PCA analysis, ANN, Wavelet transform and DCT. One of the effective techniques to get a good quality image is by using the Fuzzylet Fusion Algorithm in which the advantages of both Stationary Wavelet Transform and Fuzzy logic are combined.
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Energy, Jan 20, 2015
In many highway traffic accidents, the main cause is straight line detection. So as to avoid acci... more In many highway traffic accidents, the main cause is straight line detection. So as to avoid accidents straight line detection is an important component of intelligent transportation systems. This paper describes different lane marking algorithms and analyses advantages and disadvantages of lane detection algorithms. This paper illustrates the survey of B-Snake algorithm, RANSAC algorithm for urban streets, unsupervised and adaptive classifier technique, robust and lane detection algorithm in challenging scenarios .The most effective technique for straight line detection with reduced logic area and memory utilization is hough transform. The comparative study shows that hough transform based lane detection algorithm is very reliable.
International Journal on Recent and Innovation Trends in Computing and Communication
Machine Learning is a booming technology today. In a machine learning set of training, data is to... more Machine Learning is a booming technology today. In a machine learning set of training, data is to be provided to the model for training and that model predicts the output. Machine Learning models are trained using a computer program known as ML algorithms.The new machine learning-based Transition Metric Unit (TMU) of 4D- 8PSK Trellis coded Modulation TCM Decoder is presented in this work. The classic Viterbi decoder's branch metric unit, or TMU, takes on a complex structure. Trellis coded Modulation (TCM) is a combination of 8 PSK modulations and Error Correcting Code (ECC). TMU is one of the complex units of the TCM decoder, which is essentially a Viterbi decoder. Similar to how the first Branch metric is determined in the straightforward Viterbi decoder, the TCM decoder performs this BM computation via the TMU unit. The TMU becomes challenging and uses more dynamic power as a result of the enormous constraint length and the vast number of encoder states.In the proposed algorit...
A Systematic Review of the Future of Education in Perspective of Block Chain
Journal of Mobile Multimedia
Blockchain is one of the most revolutionary technologies in the past decade due to its decentrali... more Blockchain is one of the most revolutionary technologies in the past decade due to its decentralisation, data integrity, reliability, and security. Blockchain technology is the next popular topic, and it has the potential to significantly alter the educational environment in many ways. Blockchain technology must be used in the education sector despite its challenges. Education is one of the sectors where blockchain-based solutions are still in use. Many academics possess extensive knowledge of the societal benefits blockchain technology might bring. The vast potential of blockchain can only be realised if education expands its knowledge of the technology. The primary goal of this research is to identify current problems related to educational institutions and identify blockchain features that could assist in addressing them. This research article will provide an overview of existing activities and address several perspectives on how blockchain can revolutionize the education sector....
Malignant mesothelioma (MM)" is an uncommon although fatal form of cancer. The proper MM diagnosi... more Malignant mesothelioma (MM)" is an uncommon although fatal form of cancer. The proper MM diagnosis is crucial for efficient therapy and has significant medicolegal implications. Asbestos is a carcinogenic material that poses a health risk to humans. One of the most severe types of cancer induced by asbestos is "malignant mesothelioma." Prolonged shortness of breath and continuous pain are the most typical symptoms of the condition. The importance of early treatment and diagnosis cannot be overstated. The combination "epithelial/mesenchymal appearance of MM," however, makes a definite diagnosis difficult. This study is aimed at developing a deep learning system for medical diagnosis MM automatically. Otherwise, the sickness might cause patients to succumb to death in a short amount of time. Various forms of artificial intelligence algorithms for successful "Malignant Mesothelioma illness" identification are explored in this research. In relation to the concept of traditional machine learning, the techniques support "Vector Machine, Neural Network, and Decision Tree" are chosen. SPSS has been used to analyze the result regarding the applications of Neural Network helps to diagnose MM.
The dramatic increase in thyroid cancer, particularly among the younger population demands develo... more The dramatic increase in thyroid cancer, particularly among the younger population demands development of an automated decision support system for timely and reliable prognosis of the disease so as to facilitate improved chances of recovery in the subjects. While numerous methods are already reported by the researchers for the detection of Thyroid malignancy, the most crucial parameter of Thyroid Malignancy Index (TMI) has received very less attention. TMI is of paramount importance in diagnosis and treatment of the patients having malignant thyroid and its consideration is therefore inevitable. This research aims to develop an automated and a reliable decision support system for detection of thyroid malignancy. The proposed hybrid approach incorporates a novel combination of texture features and clinically observable parameters to initially identify a malignant thyroid tumor using support vector machines and further predicts its TMI value, thus exhibiting a performance like a tra...
Although, automation led us into the development in terms of sophistication of human efforts in b... more Although, automation led us into the development in terms of sophistication of human efforts in bringing out mass production of more precisely manufactured goods but it needs to be modified to be a smarter intelligent system. Pallet sorting equipment using OCR techniques reduces human efforts in recognizing required position of object. It reduces time required to sort objects with less time. Different preprocessing techniques are used like skew correction, binarization, text recognition etc. In this paper, the proposed system is based on an efficient binarization and enhancement technique followed by a suitable connected hardware assembly is discussed. The objective of the study is to significantly improve the capabilities of pallet sorting by address recognition.
In many highway traffic accidents, the main cause is straight line detection. So as to avoid acci... more In many highway traffic accidents, the main cause is straight line detection. So as to avoid accidents straight line detection is an important component of intelligent transportation systems. This paper describes different lane marking algorithms and analyses advantages and disadvantages of lane detection algorithms. This paper illustrates the survey of B-Snake algorithm, RANSAC algorithm for urban streets, unsupervised and adaptive classifier technique, robust and lane detection algorithm in challenging scenarios .The most effective technique for straight line detection with reduced logic area and memory utilization is hough transform. The comparative study shows that hough transform based lane detection algorithm is very reliable.
A Reliable and an Efficient Approach for Diagnosis of Brain Tumor Using Transfer Learning
Biomedical and Pharmacology Journal
Introduction: The World Brain Tumor Day is seen on eighth June, in a year. Despite exhaustive res... more Introduction: The World Brain Tumor Day is seen on eighth June, in a year. Despite exhaustive research in the medical field, the prevalence of this deadly disease is increasing globally with over new 28,000 braintumor cases being reported annually, in India alone. Recent advancements in the field of machine learning facilitate minimally invasive, efficient and reliable procedures for the diagnosis of Brain tumor. Objective: This research intends to design and devlop a reliable framework for accurate diagnosis of brain tumor mainly meningioma type, gliomatype and pituitary cerebrum tumor utilizing Magnetic Resonance Imaging (MRI), one of the most mainstream non-obtrusive procedure Methods: In the proposed system, pre-trained AlexNet is used to classify meningioma, glioma and pituitary brain tumor. The concept of transfer learning is applied using AlexNet for extracting the features from brain MRI images.The AlexNet contains eight layers in which the first five are convolution layer a...
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Papers by sarika panwar