Journal of Signal Processing

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Alfred Vivek D’Souza, D. J Ravi
Abstract:
Formant Synthesis is one of the ways of producing artificial speech using a digital computer. Artificial or synthetic speech is commonly used in Text To Speech (TTS) conversion systems and in various Human Machine Interfaces (HMI). A very good example of usage of synthetic speech is in automatic public address or announcement systems that are commonly found in railway stations, airports, bus stations, banks, malls etc., This paper presents a method of synthesizing Kannada speech utterances such as Vowels, Semi-vowels, Diphthongs, Consonants and Consonant-Vowel (CV) co-articulations that forms the building block of a fully functional Formant Synthesizer for Kannada language. A Klatt type formant synthesizer implemented using C# .NET is employed for producing these utterances in this work. PRAAT tool is used to perform analysis and obtaining the control parameters needed for generating various utterances. A total of 192 utterances including 10 vowels, 2 diphthongs and 180 CV co-articulations were synthesized and of which 176 were correctly identified in perception test giving an accuracy of 91.67% on an average. Formant synthesizer allows more prosody control of synthesized utterances over other methods of speech synthesis and hence this work can serve as a guide to researchers trying to develop a functional format synthesizer for Kannada language.
Aayush Mahajan, Rushikesh Shimpi, Sachin Patel
Abstract:
A significant obstacle in execution is the restricted scope of EVs. Primarily EVs need an enormous battery ability to build the scope of the EV. One of the preparations is to charge the vehicles while moving referred to as "Dynamic Wireless Power Transfer (DWPT)". Charging the auto-mobile while shifting can decrease the battery energy capability restriction on the auto-mobile. To tackle the difficulty of the electrical vehicle (EV) charging sum vacillation added approximately using the form of charge in the course of moving charging, we propose an EV dynamic faraway charging control approach adjusting to speed alternate. The fundamental elements of dynamic charging are to send power by an electromagnetic field across a given space. As electric vehicles are a superior choice to control the continuous contamination, it is fundamental to make changes in the battery charging cycle to achieve more prominent dependability. Dynamic charging framework can be executed to charge the vehicle in any event, when it is moving. By utilizing inductive power or dynamic wireless charging, the power from source can be moved to the chargeable batteries through transformer windings, i.e., wireless transmission coils. For pre-arranged courses, such powerful charging stations can be set in the mood for charging batteries. This will not just expand the utilization of electric vehicles yet in addition make them productive and dependable for huge distances also. The paper extraordinarily presents an assessment on how the future EV improvement and remote charging techniques can be carried out. Dynamic remote charging of electric cars (EVs) is becoming a preferred method since it empowers energy change between the auto-mobile and the lattice while the car is shifting. Here we gift Mobile Energy Disseminators (MED), every other concept, which can paintings with EVs to increase their reach in a mean metropolitan situation.
Ms. Siya Susan Kuruvilla, Ms. Stephani Sunil, Ms. Abisha Susan Alichan, Abraham K Thomas
Abstract:
Vedic maths is an ancient mathematical theory based on 16 sutras that has a unique computation technique. We employ the fourteenth sutra, 'Urdhva Tiryakbhyam', from the 16 sutras. Multiplication can be done 'vertically and crosswise' using this sutra. The creation of a high-speed Vedic Multiplier based on ancient Indian Vedic Mathematics principles that have been tweaked to boost efficiency. Power, area, and latency are the three fundamental restrictions in modern VLSI technological advancements. Multipliers are used in high-speed arithmetic logic units, multiplier and accumulate units, and other similar applications. With the rising limits on latency, the design of faster multiplications is becoming increasingly important. Many changes are being done to improve speed. Vedic multipliers based on Vedic Mathematics are among them. Power, area, and latency are the three fundamental restrictions in modern VLSI technological advancements. CMOS (Complementary metal-oxide-semiconductor) designs take up more space and use more energy. Power dissipation causes an IC to heat up, which has a direct impact on its reliability and performance. Gate Diffusion Input (GDI) technology reduces the size, propagation delay, and power consumption of digital circuits while also lowering logic complexity as compared to traditional CMOS and existing pass transistor logic approaches. We compared a 2x2 Vedic multiplier based on the GDI and mGDI (Modified GDI) techniques in this study. In comparison to the GDI approach, the mGDI technology employs much less transistors. The Vedic multiplier is implemented in the cadence virtuoso tool, on 180nm and 90nm technology.
Aayush Shukla, Chetan Parmar, Ms. Ashwini Deshmukh
Abstract:
For quiet people, sign dialect could be an imperative implies of communication. Each movement in sign dialect features a unmistakable meaning. As a result, complex meanings may be portrayed employing a blend of a few crucial pieces. Sign language could be a gesture-based dialect utilized by hard of hearing and difficult of hearing people to communicate. It may be a non-verbal dialect that is utilized to assist hard of hearing and difficult of hearing people communicate more effectively with each other and with normal individuals. Sign dialect has its claim set of standards and sentence structure for communicating productively. The two essential sorts of sign dialect acknowledgment are image-based and sensor-based. Signal acknowledgment is getting to be more prevalent in an assortment of areas, counting human interface, communication, mixed media, and security. In most cases, sign acknowledgment is connected to visual comprehension. It is isolated into two stages: discovery and distinguishing proof of signs. The practice of obtaining a characteristic from certain objects based on specified parameters is known as sign detection. Sign identification is the process of recognizing a certain shape that differentiates a thing from other objects. Language is very useful when there are no other options for communicating.
Ms. Shraddha Pawar, Ms. Mrunalini Patil, Vaibhav Wable, Saalim Shaikh, Ms. Deepthi Kulkarni
Published: 28 February 2022
Abstract:
We will provide COVID-19 home safety can be improved with a cost-effective IoT-based technology that addresses several critical challenges in this study. Non-contact temperature sensing and the second stage is mask detection. The non-contact sensing element subsystem is driven by an Arduino Uno and utilizes an infrared sensor or a thermal camera, whereas the masking subsystem is powered by a Raspberry Pi. Computer vision algorithms are used on camera-equipped computers to perform detection and social distancing tests. Humans are now utilized for temperature screening and mask spotting in public settings to prevent the spread of COVID-19. All scanning entries include temperature testing equipment; however, manual temperature scanning has several limitations. Temperature scanners are not well-known among personnel. There is room for human mistakes when reading values. Regardless of the higher temperatures or the lack of masks, people are frequently given admission. A piece of manual scanning equipment is ineffective in huge groups. As a response, an automated temperature and mask monitoring system is necessary. We depict a profoundly independent temperature scanner and section source framework to conquer this issue. The innovation takes photographs utilizing a contactless temperature peruse and a camera. The scanner is related with a doorway like contraption that thwarts section. Expecting that a high temperature or the shortfall of a cover is recognized, the gadget uses a temperature sensor and camera related with a Raspberry Pi structure to screen the entire collaboration. The major goal of this article is to automate the entire COVID scanning process to reduce the possibility of COVID-19 spreading in densely crowded locations like shopping malls, schools and colleges.
Beena Ullala Mata B N, Anup Kumar Pal, Hrithik Sivadasan, Himanshu Mishra
Abstract:
Nuclear Medicine is a medical specialty that allows modern diagnostics and treatments using radiopharmaceuticals original radiotracers (drugs linked to a radioactive isotope). The radiopharmaceuticals are considered a special group of drugs and thus their preparation and use are regulated by a set of policies that have been adopted by individual member countries. The radiopharmaceuticals used in diagnostic examinations are administered in very small doses. So, in general, they have no pharmacological action, side effects or serious adverse reactions. The most serious issue with their use is the potential for diagnostic mistakes due to changes in their biodistribution. The appearance and development of new radiopharmaceuticals in both the diagnostic and therapeutic domains, as well as the impact of new multimodality imaging techniques, are all having a significant impact on nuclear medicine (SPECT-CT, PET-CT, PET-MRI, etc.). It is crucial to understand the techniques limitations, radiopharmaceutical distribution and potential physiological changes, radiological contrast contraindications and bad responses, and the possibility of both interfering. The process of generating radiopharmaceuticals is introduced and relevant interactions of radiation with matter are discussed. Diagnostic nuclear medicine instrumentation is explained, and future trends in nuclear medicine imaging technology are forecasted.
Yashaswini J, Niranjan K R, Beena Ullala Mata B N, Kaliprasad C S
Abstract:
Mankind is confronting these days a histrionic pandemic scene with the Coronavirus proliferation over all continents. The Covid-19 pandemic outbreak is as yet not very much portrayed, and numerous research teams everywhere on the world are chipping away at one or the other restorative therapeutic issues or immunization issues. The outburst of COVID-19 has constituted a danger to wellbeing of world. With the expanding number of individuals tainted, medical services frameworks, particularly those in economically emerging nations, are bearing gigantic pressing factor for the devising a prognostic model. There is a dire requirement for the analysis of COVID-19 and the anticipation of inpatients. To diminish these issues, a data statistical information driven clinical aid framework is advanced in this paper. In view of two real world datasets in Wuhan, China, the proposed framework coordinates information from various sources with tools of Machine Learning (ML) to anticipate COVID-19 tainted likelihood of suspected patients in their first visit, and afterward foresee mortality of affirmed cases. As opposed to picking an interpretable calculation, this framework isolates the clarifications from ML models. It can do help to patient triaging and give some valuable guidance to specialists and doctors. A prognosis model is in the way of extraordinary premium for specialists to adjust their consideration methodology for therapeutic or diagnosis procedure.
Shivanee Kondur, Vishwas K V, Abhishek V Tatachar, Amith R, Varun Yarehalli Chandrappa, Kiran Y C
Abstract:
Agriculture is one of the key aspects that affects the growth of a country. Extreme weather conditions and climate change are something that the agriculturists and the farmers have always found difficult to deal with. Irrigation is an essential agriculture practice that enhances crop production by providing adequate water to the land. Irrigation in essential because they maintain the soil moisture and help in the absorption of nutrient contents. From time immemorial and even till date, irrigation has been done manually with the need of human interventions. With the advancement in the technology, one question always arose. Is it possible to automate some or all the parts of agriculture to maximise the yield? The notion of smart irrigation came into existence. The agricultural industry was able to overcome the said disadvantages of traditional irrigation procedures by incorporating "smart" technologies into irrigation systems. IoT can make agriculture and farming processes more efficient by automating them and reducing human interference. Smart irrigation systems and solutions are being embraced in many regions of the world due to their numerous benefits. The difference is with respect to the way of implementation, the communication network that these applications made use of and the environmental conditions where these applications were used. This paper aims at reviewing certain approaches to smart irrigation from the perspective of communication technologies used and perceive ideal communication technologies that can be used for communication over a shorter range and for the communication over longer range.
Suchetha N V, Asmitha Thulapule, Aishwarya Shetty S, G J Sahana, Monisha B L
Abstract:
Number of deaths is increasing everyday especially due to heart disease in the present-day world. The cardiovascular diseases can appear due to family history, obesity, smoking etc. Prevention of death due to heart failure and proper treatment requires on time and accurate diagnosis of the disease. In this study we predict heart disease using a system that is based on machine learning using heart disease dataset. In this paper we try analysing and predicting heart diseases occurring by applying algorithms such as K-Nearest Neighbour, Naive Bayes, Support Vector Machine, Decision Tree, Random Forest, Logistic Regression, XG Boost. We have taken the dataset from UCI Machine Learning Repository. The algorithms results based on different factors like cholesterol, age, gender etc. The resulting performance provides efficiency in diagnosing the disease.
Raghavendra Patil G E, G R Jyoti, Kratika Krishnanand Naik, Lavanya G, Manavi J M
Abstract:
The internet of things is a technology that connects physical objects through the internet. It has an incredible application in the field of medication that offers an assortment of answers for patients and medical services experts. This makes clinical hardware more productive, by giving checking to the patient's wellbeing. That is the reason we offer a framework known as the Automated Medicine Alert System, the proposed framework will be intended to remind patients to take as much time as is needed and to give data about the patient's wellbeing status to both the patient and the patient's overseer. Here, the patient necessities to give a medicine, the subtleties of which have been given to him by a specialist to a page, after which the framework will store the heaviness of every tablet just as the all out weight of medication. At the hour of medication admission as indicated by the GSM module, the tablet will be determined by a 16-digit LCD screen, alongside a buzzer sound. The weight change is processed with the assistance of a gadget called a load cell subsequent to taking the medication and afterward contrasted with the past complete weight. The framework will send an affirmation email, i.e, an instant message to the patient and his overseer assuming any, subsequently, broke down dependent on changes in the heaviness of tablets.
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