Wavelet and its Applications

Author(s):  
Ashu Prakash

Wavelets are mathematical functions which are used as a basis for writing down other complex functions in an easy way. These cut up data into its frequency components and so that we can study each and every part with more preciseness as it is scaled for our convenience. We may also term wavelets as a tool to decompose signals and trend as a function of time. Wavelets are certainly used in place of the applications of Fourier Analysis as wavelets give more freedom to work on. In this paper, a basic idea of wavelet is provided to a person who is unknown with the idea of function approximation. Apart from pure mathematics areas, wavelets are highly useful tool in analyzing a time series. Wavelets are used for removing noise from a statistical data which is one of the most important job in data analysis. The applications of wavelets not only bars here, but they are also used in quantum physics, artificial intelligence and visual recognition. An important aspect of wavelets, image processing is covered in brief in this paper which will give a thin-air idea of how digital images are stored.

Processes ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 1128
Author(s):  
Chern-Sheng Lin ◽  
Yu-Ching Pan ◽  
Yu-Xin Kuo ◽  
Ching-Kun Chen ◽  
Chuen-Lin Tien

In this study, the machine vision and artificial intelligence algorithms were used to rapidly check the degree of cooking of foods and avoid the over-cooking of foods. Using a smart induction cooker for heating, the image processing program automatically recognizes the color of the food before and after cooking. The new cooking parameters were used to identify the cooking conditions of the food when it is undercooked, cooked, and overcooked. In the research, the camera was used in combination with the software for development, and the real-time image processing technology was used to obtain the information of the color of the food, and through calculation parameters, the cooking status of the food was monitored. In the second year, using the color space conversion, a novel algorithm, and artificial intelligence, the foreground segmentation was used to separate the vegetables from the background, and the cooking ripeness, cooking unevenness, oil glossiness, and sauce absorption were calculated. The image color difference and the distribution were used to judge the cooking conditions of the food, so that the cooking system can identify whether or not to adopt partial tumbling, or to end a cooking operation. A novel artificial intelligence algorithm is used in the relative field, and the error rate can be reduced to 3%. This work will significantly help researchers working in the advanced cooking devices.


2021 ◽  
Vol 27 (S1) ◽  
pp. 1028-1029
Author(s):  
Robert Palomino ◽  
Ke-Bin Low ◽  
Chunxin Ji ◽  
Ivan Petrovic ◽  
Florian Waltz ◽  
...  

2020 ◽  
Vol 8 ◽  
pp. 126-137
Author(s):  
Kieran Greer

One of the most fundamental questions in Biology or Artificial Intelligence is how the human brainperforms mathematical functions. How does a neural architecture that may organise itself mostly throughstatistics, know what to do? One possibility is to extract the problem to something more abstract. This becomesclear when thinking about how the brain handles large numbers, for example to the power of something, whensimply summing to an answer is not feasible. In this paper, the author suggests that the maths question can beanswered more easily if the problem is changed into one of symbol manipulation and not just number counting.If symbols can be compared and manipulated, maybe without understanding completely what they are, then themathematical operations become relative and some of them might even be rote learned. The proposed systemmay also be suggested as an alternative to the traditional computer binary system. Any of the actual maths stillbreaks down into binary operations, while a more symbolic level above that can manipulate the numbers andreduce the problem size, thus making the binary operations simpler. An interesting result of looking at this is thepossibility of a new fractal equation resulting from division, that can be used as a measure of good fit and wouldhelp the brain decide how to solve something through self-replacement and a comparison with this good fit.


Author(s):  
Volodymyr Vladymyrov

The article discusses the prospects for the development of the mass communication science in the direction of including in its discourse the modern achievements in the field of the relation between quantum physics and consciousness as well as the artificial intelligence. It will give the media new opportunities to influence mass consciousness, and to impact social processes.It allows to forecast the rise of the next, the fourth stage of the information revolution and to recognize the ways for preparation to it. Quantum physics appears as classical physics develops in the study of the world. Scientists explain quantumness as the relations of everything with everything. Quantumism and consciousness are an already mastered topics of modern science. If we talk about mass consciousness, it should be recognized as a scholar problem and the existence of quantumness as an underlying phenomenon in mass communication. Perhaps this will be the content of the new, fourth stage of the information revolution – after its computer, Internet and mobile stages. Therefore, the urgency of the problem we are addressing is the need to “let in” quantum methods into the thinking, creation and dissemination of the mass-information product in the mass audience. Theorists of our scientific discipline are interested in precisely the new knowledge of quantum “confusion” in the depths of mass consciousness, which exists and manifests itself in the processes of mass communication. Then the quantum approach can be extremely fruitful here. Quantumism here appears both as a universal connection of everything with everything, and as the unpredictability of the nature of these connections from the point of view of ordinary and even dialectical logic. Here, the quantum logic of mass communication should be discovered. It should be noted that so far almost no one has noticed that media interference in the natural mental life of large human communities gives rise to a phenomenon similar to quantum “confusion”, when a change in the state of one “mass” thoughts occurs along with a change in the state of another. Quantum “confusion” is what permeates all the “matter” of human communication / existence. All participants in mass communication are “confused” with themselves, like photons in physics. And they’re not just confused, everybody is one and the part of whole in the external, “physical”, existing, and is the part of the ideal world, with its thoughts, hopes, emotions, “confused” in the Internet The introduction of quantumness as the leading principle of influence on mass consciousness is one of the three steps to a new stage in the information revolution. The second is the growing potential of artificial intelligence. The third is the gradual creation of quantum computers. All these together will make it possible to reach each recipient of information, to enter the inner, ideal world of an individual person, and even to see in this communication an intrapersonal discussion of a person with himself – and to control its course. Probably, the result will be the opportunity to learn to predict the unpredictable in behavior of “this” person in his behavior – in personal, group, intergroup, mass ones.


Author(s):  
D. R. Kalbande ◽  
Uday Khopkar ◽  
Avinash Sharma ◽  
Neil Daftary ◽  
Yash Kokate ◽  
...  

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