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检索条件"机构=B.Tech Electronics and Computer Engineering"

共 401 条记录，以下是11-20 订阅

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Sustainable Energy Production Through Piezo Electric Tile

Sustainable Energy Production Through Piezo Electric Tile

引用

Computing, Sciences and Communications (ICCSC), International Conference on

作者： Tanu Yashdeep Tyagi Nupur Mittal Nidhi Singh B.tech (Electrical and Electronics) Ajay Kumar Garg Engineering College Ghaziabad India

ISBN: (数字)9798350353648

ISBN: (纸本)9798350353655

This paper proposes a novel method for harnessing vibrational energy from footsteps and vehicle movement using piezoelectric sensors embedded in tiles. With India's ambitious goals for renewable energy production, this technology offers a cost-effective and efficient solution to generate electricity in high-traffic areas such as railway stations, airports, and toll plazas. The methodology involves constructing specially designed tiles equipped with sensors and springs to convert vibrations into electricity. Through Experimental calculations and hardware observations, this paper demonstrates the potential for substantial renewable energy production without additional operational expenses.

关键词： Vibrations Renewable energy sources Electricity Scalability Transportation Prototypes Production Hardware Rail transportation Sensors

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A Real-Time Approach to Classify the Water Quality of the River Ganga at Mehandi Ghat, Kannuaj 4

A Real-Time Approach to Classify the Water Quality of the Ri...

引用

4th IEEE International Conference on Artificial Intelligence in engineering and technology, IICAIET 2022

作者： bajpai, Abhishek Chaubey, Srishti Patro, bdk Verma, Abhineet Rajkiya Engineering College Department of Computer Science and Engineering UP Kannauj India B.Tech Computer Science and Engineering Rajkiya Engineering College UP Kannauj India

ISBN: (数字)9781665468374

ISBN: (纸本)9781665468374

Only 0.3 percent of the total water on Earth is available in rivers and ponds, and the majority of it is polluted to the point where drinking it directly can cause disease. In this paper, we will identify the quality of the river Ganges and check if it is portable and healthy. We aim to classify the water on some parameters using different classification algorithms, such as Random Forest, which is a supervised machine learning algorithm. This model's accuracy is around 99 percent, which is far superior to other approaches taken for water quality prediction. © 2022 IEEE.

关键词： Water quality

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A Novel Mobile Application to Empower Visually Impaired Individuals to Perform Independent Day-to-Day Activities

A Novel Mobile Application to Empower Visually Impaired Indi...

引用

International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Dewanshi Paul Ankit Kumar Patel Dhanush R Amutha S B.Tech Electronics and Computer Engineering School of Electronics Engineering Vellore Institute of Technology Chennai India School of Electronics Engineering Vellore Institute of Technology Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

People with visual impairments struggle or require assistance from others to perform day-to-day activities. Hence, people with visual impairments suffer from a lack of independence and quality of life. For this purpose, the app proposed in the paper is a unique, creative, innovative mobile application that will aid people with visual impairments in becoming independent and improving their quality of life. This paper introduces the novel mobile application’s three key features: QR (Quick Response) code scanning, OCR (Object Character Recognition), and an Indoor Object Navigation System. The QR code scanning feature allows users to make informed decisions quickly by providing comprehensive information about products or their environment. The OCR functionality reads out the printed text aloud and helps the users understand written content with the help of audio. The indoor object finder or navigation system is a noteworthy advancement in Assistive technology. The system allows users to select a target object and then move their camera around their surroundings; once the object is detected, the app provides voice instructions about the directions of the target object to guide users towards it. by integrating these complex technologies, the novel mobile application provides an innovative approach to some of the issues encountered by those with visual impairments. The application aims to increase user independence, improve functionality, and build confidence to improve their daily experiences and engagements with the world around them.

关键词： Indoor navigation Visual impairment Optical character recognition QR codes Streaming media Cameras Real-time systems Mobile applications Text to speech Character recognition

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4X5 Dynamic Random Access Memory Stores Data Using Digital Circuits

4X5 Dynamic Random Access Memory Stores Data Using Digital C...

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International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)

作者： Dalli Tushar N M Reddy B.Tech in Electronics and Communication Engineering Vignan's Institute Of Information Technology Visakhapatnam India

ISBN: (数字)9798331506452

ISBN: (纸本)9798331506469

This paper mainly focuses on building a 4X5 DRAM using logic circuits from transistor logic to devices. It concentrates on building a DRAM using a transistor that consumes less power, less area and proper functionality. Designing a DRAM is modeled using Cadence Virtuoso from schematics to layout. In schematics the cells are constructed using transistors, the cells are 2X4 decoder, 2X1 multiplexer, 1-bIT storage, read and write controller, 3 XOR gates and tristate buffer. All the cells are connected according the 4X5 DRAM architecture which is further discussed in the paper.

关键词： Multiplexing Logic circuits buildings Random access memory computer architecture Logic gates Signal processing Decoding Transistors Servers

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An electronic warfare approach for deploying a software-based Wi-Fi jammer 5

An electronic warfare approach for deploying a software-base...

引用

5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Kaushik, Keshav Negi, Rahul Dev, Prabhav University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies B.Tech Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350398267

Some prominent instances have been centered on electronic warfare. For example, the American military has made significant investments in automation through UAV programs, only for competitors like the Iranians to create strategies to interfere with these systems. Iran managed to capture a top-secret U.S. surveil-lance drone by fooling it into descending in the incorrect place by jamming its control signals and providing it with bogus GPS data. In this paper, the authors have focused on the electronic warfare approach for deploying a software-based Wi-Fi jammer. The software-based Wi-Fi jammer can disconnect the targets using the DoS pursuit mode. The paper describes the unique methodology of how software can also be used for jamming wireless signals. © 2022 IEEE.

关键词： Wi-Fi

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Design and Simulation of broken Gate TFET and its RF Applications

Design and Simulation of Broken Gate TFET and its RF Applica...

引用

International ECTI Northern Section Conference on Electrical, electronics, computer and Telecommunications engineering (ECTI-NCON)

作者： Kh. Alisha Singha Aditya Singha Swrang brahma Karapallav Chutia bijoy Goswami Dept. of Electronics and Telecommunication(B.Tech) Assam Engineering College JalukbariGuwahati(ASTU) Guwahati Assam India

ISBN: (数字)9798331543273

ISBN: (纸本)9798331543280

In this study, we introduce a novel broken-Gate Tunnel Field-Effect Transistor (bG-TFET) architecture based on silicon. The structure has been refined and analytically characterized. The device showcases an enhanced subthreshold slope (SS) of 19 mV/dec, minimal bidirectional current, and ON-current values on par with contemporary designs of similar dimensions. The findings of the device parameters are corroborated through the simulations of SILVACO employing the methodology of Nonlocal tunneling.

关键词： Performance evaluation Accuracy TFETs Sensitivity Tunneling Predictive models Logic gates Silicon Semiconductor process modeling Transistors

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Type-II Diabetes Prediction Using Machine Learning Algorithms 12

Type-II Diabetes Prediction Using Machine Learning Algorithm...

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12th International Conference on computer Communication and Informatics, ICCCI 2022

作者： Charitha, C. Chaitrasree, Amuluru Devi Varma, Penmetsa Chidananda Lakshmi, C. B.Tech Students in Electronics and Communication Engineering Sastra Deemed to Be University Thanjavur613401 India Faculty in School of Electrical and Electronics Engineering Sastra Deemed to Be University Thanjavur613401 India

ISBN: (纸本)9781665480352

Non-Insulin Dependent Diabetes Mellitus or Type2 Diabetes is one of the critical diseases and many people are suffering from it. Every year, approximately 2 to 5 million people are losing their lives as Diabetics. If Diabetes is predicted earlier, it can be controlled and also, deadly risks such as diabetes cardiac stroke, nephropathy and other disorders associated with it can be prevented. Therefore, early prediction of diabetes helps in maintaining good health. With the recent development in machine learning (ML), it is being applied to various aspects of the medical health. The Pima Indian Diabetes data set (PID), which was used in this paper, was acquired from the UCI repository. In this study, after undergoing a thorough data pre-processing and Feature engineering with feature importance models like Random Forest Importance and RFE, we used many Machine Learning models such as KNN, Logistic Regression, SVM, Random Forest, LightGbM and XGboost for train-test splits like 60-40, 70-30 and 80-20 to predict Type-II diabetes mellitus. Among all models, the highest accuracy is obtained as 91.47% from lightGbM model for 80-20 train test split. © 2022 IEEE.

关键词： Decision trees

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Resonating Silence: Music Perception in the Deaf and Hard of Hearing

Resonating Silence: Music Perception in the Deaf and Hard of...

引用

IEEE UP Section Conference on Electrical computer and electronics (UPCON)

作者： Mahak Garg Akanksha Yadav Kiran Singh B.Tech Computer Science and Engineering Galgotias University Greater Noida India School of Computer Science & Engineering Galgotias University Greater Noida India

ISBN: (数字)9798350378726

ISBN: (纸本)9798350378733

Music is traditionally considered an auditory experience; however, the perception of music by Deaf and hard-of-hearing individuals challenges this assumption. This paper examines how people who are Deaf engage with music through a multisensory approach, emphasizing vibration, touch, and visual elements. by analyzing data from the Frontier and Kaggle database, the study explores how hearing-impaired individuals interpret and emotionally respond to rhythmic vibrations. Participants, aged 10–40, interacted with a haptic device that produced both musical and non-musical vibrations. Age-based trends emerged: older participants often associated vibrations with musical instruments, while younger participants connected them to common household objects. Emotional responses varied, with younger individuals showing heightened excitement and older participants experiencing greater relaxation. Findings indicate that tactile rhythms can foster meaningful associations and emotions across age groups, providing insights into sensory-based musical experiences for those who are hearing-impaired. This paper synthesizes literature, case studies, and data from the Frontier database to highlight the various ways music can be felt and comprehended beyond hearing. by underscoring the holistic and multisensory dimensions of music, it argues for appreciating sound and music through a broader understanding of sensory experiences.

关键词： Vibrations Visualization Databases Instruments Music Auditory system Real-time systems Haptic interfaces Emotional responses Artificial intelligence

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Prediction Of Used Car Prices Using Artificial Neural Networks And Machine Learning 12

Prediction Of Used Car Prices Using Artificial Neural Networ...

引用

12th International Conference on computer Communication and Informatics, ICCCI 2022

作者： Varshitha, Janke Jahnavi, K. Lakshmi, C. Sastra Deemed University B.Tech Students in Electronics and Communication Engineering Thanjavur613401 India Sastra Deemed University Faculty in School of Electrical and Electronics Engineering Thanjavur613401 India

ISBN: (纸本)9781665480352

With the extensive growth in usage of cars, the newly produced cars are unable to reach the customers for various reasons like high prices, less availability, financial incapability, and so on. Hence the used car market is escalated across the globe but in India, the used car market is in a very nascent stage and mostly dominated by the unorganized sector. This gives chance for fraud while buying a used car. Hence a high precision model is required which will estimate the price of an used car with none bias towards customer or *** this model, A Supervised learning-based Artificial Neural Network model and Random Forest Machine Learning model are developed which can learn from the car dataset provided to it. This project presents a working model for used car price prediction with a low error value. A considerable number of distinct attributes are examined for reliable and accurate predictions. The results obtained agree with theoretical predictions and have shown improvement over models which use simple linear models. An ANN (Artificial Neural Network) is built by using Keras Regression algorithm namely Keras Regressor and other Machine Learning Algorithms namely Random Forest, Lasso, Ridge, Linear regressions are built. These algorithms are tested with the car dataset. Experimental results have shown that the Random Forest model with a Mean Absolute Error value of 1.0970472 and R2 error value of 0.772584 has given the less error among all the other algorithms. The work presented here has shown profound implications for future studies of Used Cars price Prediction using Random Forest and might one day help to solve the problem of fraudswith one hundred percent accuracy. © 2022 IEEE.

关键词： Neural networks

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An approach for exploiting and mitigating Log4J using Log4Shell vulnerability 3

An approach for exploiting and mitigating Log4J using Log4Sh...

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3rd International Conference on Computation, Automation and Knowledge Management, ICCAKM 2022

作者： Kaushik, Keshav Dass, Alpana Dhankhar, Ayush University of Petroleum and Energy Studies School of Computer Science Dehradun India University of Petroleum and Energy Studies Student B.Tech Computer Science and Engineering Dehradun India

ISBN: (数字)9781665453196

ISBN: (纸本)9781665453196

A new serious flaw has been discovered in log4j, a popular open-source tool used to produce logs within Java programs. The Log4Shell vulnerability, also referred as CVE-2021-44228, enables Remote Code Execution (RCE), enabling attackers to run obfuscated code on the host. A large number of programmes and businesses, including the well-known game Minecraft, employ the well-known utility log4j. Additionally, it is utilised in numerous commercial products as well as several Apache frameworks including Struts2, Kafka, Druid, and Flink. In this paper, the authors have used an approach to exploit the Log4Shell vulnerability and then provided the mitigation methods for the same. © 2022 IEEE.

关键词： Open source software

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