International Journal of Innovative Technology and Exploring Engineering

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EISSN : 2278-3075
Total articles ≅ 11,141
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Pulipati Bhargav, Uppalapati Dhanush, Sb Mohammad Ansar
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 37-39; https://doi.org/10.35940/ijitee.e9836.0411522

Abstract:
This work provides us an efficient way of developing a motion controlled interaction with a computer or laptop without touching it. This is achieved by capturing motion using an external source and processing it to perform the action needed. This work can help a lot of people to save time as they don’t need to come over to perform the task and it can also help people who are physically challenged to use the computer as it is all about making hand moments and interacting with the computer. Our work is based on continuous hand picture acknowledgement framework.
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 1-5; https://doi.org/10.35940/ijitee.c9821.0411522

Abstract:
Friction Stir (FS) welding offers a number of advantages over the conventional fusion welding process, and it is used to join aluminum alloys that are difficult to weld by fusion welding processes. It has compatibility to any alloy composition, and produces the welded joints by eliminating the defects with improved mechanical properties. The weld quality is mainly influenced by the heat generated and material flow pattern that takes place during the friction stir welding process which depends on the above mentioned parameters. The mechanical and micro structural properties are highly influenced by the heat generation and material flow patterns. The tool geometry plays a vital role in the heat generation and material flow. The aim of the research is to study the influence of tool geometry on heat generation and temperature during friction stir welding process. A comparative study has been done based on the results obtained from numerical analysis and experimentation. It was found that the dissimilar FS welded joints fabricated using hexagonal tool pin profile generates optimum heat generation and temperature required for formation of quality weld irrespective of other process parameter.
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 32-36; https://doi.org/10.35940/ijitee.e9850.0411522

Abstract:
This Project details about the design of D Flip Flop (DFPFP). This D Flip Flop circuit is analyzed by using the supply voltage level methods. These methods are used mainly to suppress the power consumption caused due to leakage currents. In addition, because of this implemented technique, the time taken for battery backup, and the supply voltage given at standby mode gets minimized. The projected circuit uses a smaller number of transistors, such that power consumption and leakage currents are in prior limit. Mainly, the CMOS D Flip Flops are designed to use them in binary counters, shift registers, Analog and Digital circuit designs. And this circuit design is implemented in 45nm CMOS Technology Cadence Virtuoso Tool.
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 16-20; https://doi.org/10.35940/ijitee.e9847.0411522

Abstract:
The impedance cardiography (ICG) shows the impedance caused in the heart. The ICG gives a clear and accurate results and the applied techniques reduce artifacts and also mathematical calculations. The ICG signal shows various physiological and non-physiological situations, and can calculate the heart volume. The computational complexity is also a main part for remote health care. The adaptive techniques used in this project reduces or removes the noise in the signal, Improve the signal. Mainly to take over the applied signal, convergence rate, and to reduce computations of the proposed theory, we added the sign and normalized adaptive algorithms to take out the realistic wave. In final, the results are taken out from the outcomes by additionally relating it with the adaptive filter to situate it in the proper format.
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 21-26; https://doi.org/10.35940/ijitee.e9848.0411522

Abstract:
This project visualizes the different designs of Full Adder (FADDR) circuits. These FADDR circuits are designed mainly to reduce the power and delay factors. If these two factors are minimized then automatically the power delay product (PDP) gets minimized. In addition, to design the FADDR, we used multiplexer. So, that the FADDR transistor count gets reduced. Here in this FADDR implementation, it is designed with different transistors count and the factors like power consumption propagation delay and power delay product (PDP) constraints are tabulated with different transistor count of FADDR designs. Then the power consumption and propagation delay factors get reduced. The designs are simulated by using 45nm CMOS technology in Cadence Virtuoso tool.
Jyothirmai S, S. Amsamani
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 6-7; https://doi.org/10.35940/ijitee.e9829.0411522

Abstract:
With the variety of fabrics available it is important to understand which GSM and yarn count consumer chooses before buying the final decision to buy apparel. This article is to understand what GSM and yarn count consumers optimally choose and why.
Vidya Chitre
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 8-11; https://doi.org/10.35940/ijitee.c9833.0411522

Abstract:
In the modern era of reaching new lengths of advancement, every company and enterprise are working on their customer demands as well as their inventory management. The models used by them help them predict future demands by understanding the pattern from old sales records. Lately, everyone is abandoning the traditional prediction models for sales forecasting as it takes a prolonged amount of time to get the expected results. Therefore now the retailers keep track of their sales record in the form of a data set, which comprises price tag, outlet types, outlet location, item visibility, item outlet sales etc.
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 12-15; https://doi.org/10.35940/ijitee.e9852.0411522

Abstract:
The field of Natural Language Processing (NLP) is growing rapidly, as is the number of companies investing in this technology. NLP is changing the way we learn and teach languages. However, it has not been used in ways that benefit ESL (English as a Second Language) educators. It is implied that there is a gap in the application and the use of an NLP tool that focuses on English Part of Speech (POS) analysis to aid the English teaching and learning process. Herein, in this paper, we discuss the prospect of utilising POS analyser to accommodate ESL educators in teaching English POS. The tool development is divided into two sections: 1) the development of a POS analyser; and 2) the implementation of an interface to make the tool become a user-friendly application. We use SpaCy, an NLP opensource library, for the English POS analysis. It offers both statistical and neural network models. It also comes with pre-trained models that can predict the POS. This paper also provides Graphical User Interface (GUI) tool that can be used to create effective and engaging English language teaching materials for learners. GUI tool is created using python programming language. Thus, we first review the NLP-based applications for ESL education, followed by an introduction and overview of our simple POS analysis tool, which is customizable. In the future, we intend to evaluate our tool with the help of ESL educators who are not computer scientists or linguists. The python script used to develop tool is provided at Github: https://github.com/yashmgupta/literate-robot
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 27-31; https://doi.org/10.35940/ijitee.e9849.0411522

Abstract:
At Present, portable battery-operated devices are enhancing due to low power consumption and high-speed applications, The designed circuit with feedback are used to design novel circuits. If the comparator having feedback are without clock signal. The comparators are mainly designed to minimize the power consumption and with good accuracy because of clock signal, if the clock signal is there, it is used to drive the circuit with low current. But in the existed design the circuit is with high power and current. These drawbacks are overcome by using the projected designed comparator. The Projected comparator design is with reduced power consumption, propagation delay, currents and with a smaller number of transistors. The comparators are useful in analog to digital converters. And this is simulated by using 45 nm CMOS technology Cadence Virtuoso tool.
N Kumaran, KavyaLakshmi E V, Maithreyi S
International Journal of Innovative Technology and Exploring Engineering, Volume 11, pp 67-70; https://doi.org/10.35940/ijitee.c9812.0311422

Abstract:
This paper deals with a method adapted to create a personal assistant based on emotion recognition. It explains how the emotions of users can be recognized and suggests the relevant methods. Now, we have an abundant number of personal assistants and chatbots: we took one of such bots a step ahead and made our assistant to automatically recognize users' emotions. Through this, our assistant is made to acquire empathy and usage with a lot of fun and advantage. The application has the potential to be used in mobile phones. Many people suffer from social anxiety and depression; our assistant is intended to help them by identifying their emotions and by suggesting ways to cheer them up. The assistant induces the user to be more connected to their phone and also to other people. Initially, our idea was to create a futuristic application, but later this turned out to be more than that. It proves to be advantageous for all mobile phone users. We created a simple personal assistant (Edith) with emotion-sensing ability. We used deep learning techniques to detect users' emotions. We illustrated our model with a lot of human faces displaying different kinds of emotions. Achieving a decent accuracy while recognizing the emotion was the hardest part in this attempt because very slight differences in facial muscles portray dissimilar emotions; identifying the pattern in similar feelings is challenging. We overcame these difficulties by choosing an appropriate dataset with many images to depict our model to recognize the emotions correctly. Our model achieved better accuracy by doing so.
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