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Eco-Connect: Examining Consumer Behavior and Sustainability in E-Commerce 4

Eco-Connect: Examining Consumer Behavior and Sustainability ...

引用

4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Sai, Koraboina Sumith Reddy, Dubba Manjunatha Pradhan, Simran Angayarkanni, S.A. Rajaram, V. Balakiruthiga, B. Department of Networking and Communication SRM Institute of Science and Technology Chennai India

ISBN: (纸本)9798331530402

This research explores the intersection of trust, perceived risk, and sustainability in shaping consumer behavior when purchasing health products online. The study examines how e-commerce platforms can better cater to the growing demand for eco-friendly health products while addressing consumer concerns related to trust and risk. The findings indicate that trust remains a major determinant in consumers' decisions to purchase health products online, with perceived risk, particularly in terms of product authenticity and online payment security, also playing a significant role. Furthermore, consumers are increasingly concerned about the sustainability of the products they buy, with eco-labels and clear information about eco-friendly products influencing purchasing decisions. The study highlights the need for e-commerce platforms to prioritize security, transparency, and ecofriendliness to attract and retain consumers. © 2025 IEEE.

关键词： Marketplaces

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Revolutionizing Rice Quality control: MobileNetV2 for Grain Classification 2

Revolutionizing Rice Quality Control: MobileNetV2 for Grain ...

引用

2nd international conference on advances in Computation, communication and Information Technology, ICAICCIT 2024

作者： Garg, Dushyant Gill, Kanwarpartap Singh Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798331541217

The classification of rice grains is a crucial aspect of the agricultural sector, particularly in light of challenges such as grain variability, limited computing resources, and the need for real-time processing. Maintaining quality control and increasing yield often rely on the efficient and accurate classification of rice grains. In this study, we explore the application of MobileNetV2, a deep learning model, for rice grain classification. Utilizing the advanced features of MobileNetV2, including linear bottlenecks and inverted residuals, we achieve an impressive accuracy rate of 99%. Despite the model's effectiveness, we identify several challenges, including variability in grain appearance, constraints on computational resources, and the necessity for real-time processing. We demonstrate that the model remains robust and efficient under real-world conditions by employing strategies such as data augmentation, model tuning, and hardware acceleration to overcome these issues. Specifically, we enhance the model's resilience to grain variability through data augmentation techniques, optimize the MobileNetV2 architecture for performance in resource-limited environments, and implement hardware acceleration to meet real-time processing requirements. Collectively, these strategies enable us to maintain a high accuracy rate of 99% in classifying rice grains. © 2024 IEEE.

关键词： Deep learning

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Automatic Fertilized Vertical Irrigation control and Management System 2

Automatic Fertilized Vertical Irrigation Control and Managem...

引用

2nd IEEE international conference on advances in computing, communication and Applied Informatics, ACCAI 2023

作者： MacHavarapu, Lalitha Sree Iswarya, S. Radhika, S. Meenakshi, V. Sathyabama Institute of Science and Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350315905

Destiny agricultural generation, known as "agriculture four.0,"is product of a number of important allowing technologies. Agriculture is an essential issue of every country's development, and it frequently requires the right quantity of fertilization, irrigation, and seasoning to provide an enough quantity of food goods. Fertilization systems have demonstrated effective in promoting plant increase, development, and large-yield crop manufacturing. The reason of this undertaking is to layout an automatic fertilized vertical irrigation management and control system for the improvement of soil vitamins and porosity via the timely application of fertilizer and water tiers needed to sell plant improvement. This automatic vertical farming system using sensors effectively assesses the requirements of plants and it detects the moisture content material and fertilizer content material in the soil. Thus the plants are provided with the required minerals and water so as to get greater yield together with reduction in time and cost. © 2023 IEEE.

关键词： DC motors

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Securing software defined networking in cloud infrastructure through transport layer security 24

Securing software defined networking in cloud infrastructure...

引用

8th international conference on Cloud and Big Data computing, ICCBDC 2024

作者： Jalali, Majid Reed, Martin J. School of Computer Science and Electronic Engineering University of Essex Colchester United Kingdom

ISBN: (纸本)9798400717253

Cloud and big data applications increasingly rely on the softwarization of underlying infrastructure to achieve highly flexible reconfiguration. Software Defined networking (SDN) stands as a vital component, offering centralized control and efficient orchestration of network resources. This paper underscores the critical importance of security within cloud and big data environments and highlights SDNs role in this context, particularly through the implementation of Transport Layer Security (TLS) encryption. TLS establishes secure communication channels between SDN controllers and switches. While prior studies have noted potential latency impacts of TLS, this paper presents contrasting findings within the context of SDN switches widely used in cloud infrastructure. Through a comprehensive examination, this study shows the pivotal role TLS plays in fortifying the integrity and security of SDN communications. Technical insights into TLS integration, its impact on performance, and practical case studies offer valuable guidance for enhancing the security of SDN networks which play a key role in cloud infrastructures and big data applications. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Cloud security

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Evaluation of the classical hardware requirements for large-scale quantum computations 39

Evaluation of the classical hardware requirements for large-...

引用

39th international conference on High Performance computing, ISC High Performance 2024

作者： Camps, Daan Rrapaj, Ermal Klymko, Katherine Austin, Brian Wright, Nicholas J. National Energy Research Scientific Computing Center Lawrence Berkeley National Laboratory BerkeleyCA United States

ISBN: (纸本)9783982633602

We develop a new model to evaluate the necessary classical computing and networking resources required to support a large-scale fault-tolerant quantum computer based on superconducting qubits and a surface code architecture. We focus specifically on quantum error decoding, which is the main classical computational task required to enable quantum error correction during runtime. Our model reveals that the quantum computer operates at a logical clock speed in the 100-10,000 Hz range, using state-of-the-art quantum error decoders. For a prototypical large-scale quantum chemistry computation, this translates to an overall runtime on the order of months, and this workload is estimated to generate syndrome data for error correction at a rate of 2-500 Gbps depending on whether data compression is used. We estimate the total computational processing power required for online error syndrome decoding equals about 1 petaflop. The results of our analysis show that current computing and networking technology can meet the requirements, in terms of bandwidth, latency, and compute, to support large-scale quantum computation. However, major technological challenges remain both for quantum and classical hardware, including scalable fabrication of high-quality qubits, scalable qubit control, and syndrome communication within a limited power budget. © 2024 Research Paper Proceedings of the ISC High Performance 2024. All rights reserved.

关键词： Quality control

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Ergonomic Tremor control Spoon for Parkinson Disorder 15

Ergonomic Tremor Control Spoon for Parkinson Disorder

引用

15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Shreeshayana, R. Gudur, Manjunath V Ezhilarasan, G. ATME College of Engineering Mysuru Electrical and Electronics Engineering India CMR Institute of Technology Bengaluru Electronics and Communication Engineering India University Electrical and Electronics Engineering Bengaluru India

ISBN: (纸本)9798350370249

Parkinson's disease is a neurological disorder, it occasionally begins with a barely perceptible tremor in just one hand and progresses gradually. It usually strikes the elderly and is caused by significant damage to nerve cells that impairs mobility and day-To-day activities. Initial symptoms may include involuntary tremors and shivering in the hands, making it difficult for the patient to do daily activities like eating from a bowl. With the help of the provided utensil, this work essentially provides a non-invasive method that enables the patient to consume the food. A working prototype for a stabilizing spoon was created with the goal of serving as a supplement for individuals who require aid when eating. The suggested system is constructed using sensor, controller and actuator as a significant element. This was made feasible by the employment of a sensor that integrated accelerometers and gyroscopes to determine the direction and rate of tilt of the device's handle. Two servo motors are set up orthogonal to one another to give two axes of freedom in order to develop a system The spoon was intended to maintain its utensil basin horizontal using this method. The work revealed that the spoon's vertical and horizontal accelerations vary significantly depending on the type of food, with dry food showing a mean vertical acceleration of 15.1 m/2 and horizontal acceleration of 12.89 m/s2, whereas wet food demonstrates higher variability in vertical acceleration (mean of 15.5 m/2) and lower mean horizontal acceleration (8.95 m/2). This indicates the spoon's movement is more consistent with dry food and more erratic with wet food. The spoon is designed with precise dimensions (27cm in length, 9cm in width, and 1mm in thickness) and a total weight of 130gm, which are optimized for comfortable and effective use by Parkinson's patients. The measurements ensure the spoon's stability and usability. © 2024 IEEE.

关键词： Neurodegenerative diseases

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Design and implementation of integrated control system for IoT enabled home automation 4

Design and implementation of integrated control system for I...

引用

4th international conference on advances in computing, communication control and networking, ICAC3N 2022

作者： Singh, Khushi Jain, Aditya Thiyagarajan, Pradheep Vellore Institute of Technology School of Electronics Engineeing Tamil Nadu Vellore India

ISBN: (纸本)9781665474368

Home automation innovation is active field of interest for researchers and industrial innovators. Home automation is replacing manual mode of operating the gadgets and electrical loads like never before. Due to advancement in Internet of Things (IoT) technology, sensor technology and embedding computing, research in home automation is taking bigger dimensions. This research paper offers design and implementation of integrated home automation solution with IoT based remote monitoring feature. Smart home control unit is developed around AVR microcontroller Atmega 2650, Wi-Fi IoT module ESP 8266, RN-42 Bluetooth module with Serial Port Profile (SPP), DS3231 Real Time Clock (RTC) module, sensors for light, temperature, humidity, PIR motion detection, soil moisture sensor, relay board, 3.5-inch touch screen display and electrical loads. Real-time environmental parameters are sensed by the on-board sensors and based on pre-defined values of these parameters, switching of electrical loads takes place. When ambient light falls below a threshold, LED lamps switched ON, when human activity is not detected, light gets switched OFF to save electricity. Speech to text conversion is used to control switching of gadgets using voice command in mobile app through Google's voice assistant. Smart home parameters are uploaded to internet Cloud in real-time for remote monitoring application. © 2022 IEEE.

关键词： Internet of things

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A machine learning approach to control a Prosthetic arm via signals from residual limb - A boon for amputees 14

A machine learning approach to control a Prosthetic arm via ...

引用

14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Priya, E. Savithri, C.N. Nirmal Raja, K.L. Shyamkumar, M. Varunapriyan, K. Sri Sairam Engineering College Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798350335095

Many people have lost their hand due to accidents. This leads to upper or lower arm amputation, wrist disarticulation, trans-radial amputation, commonly referred to as below-elbow or forearm amputation. People who lost their hand face a lot of problems physically, socially and also undergo mental traumas. They were also seen as people with disabilities which makes them feel even more ***, this work aims to develop a prosthetic limb or arm for individuals who have lost their hand due to accidents. Such individuals face numerous physical, social, and mental challenges and are often perceived as disabled. To address this issue, this work proposes using s-EMG signals acquired from residual arm muscles to develop an artificial hand that can be controlled through muscle movements. To achieve this, the sEMG signal needs to be classified for different actions, as each muscle movement corresponds to a distinct pattern in the signal domain. The ultimate goal of this work is to provide individuals who have lost their hand with a prosthetic arm that functions as a natural hand and improves their quality of life. © 2023 IEEE.

关键词： Accidents

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Hybrid Approach for Enhancing Traffic Signal control with Computer Vision and Reinforcement Learning 14

Hybrid Approach for Enhancing Traffic Signal Control with Co...

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14th international conference on computing communication and networking Technologies, ICCCNT 2023

作者： Neupane, Bishal Niraula, Nigam Bhurtel, Nirjal Magar, Jenisha Khulal Dawadi, Pankaj Raj Kathmandu University Dhulikhel Nepal

ISBN: (纸本)9798350335095

The surge in traffic density has exceeded the capacity of current traffic signal management techniques. The existing traffic management technique is to change the traffic signal on a fixed interval according to a predefined sequence. Such a predefined sequence doesn't take into consideration the various parameters of real-world traffic intersections such as real-time traffic, lane capacity, and pedestrian density. If the aforementioned variables are considered when switching the traffic signal, the waiting time for vehicles at intersections can be greatly reduced. In recent research, technologies such as object identification and deep learning have been put to the test to develop a traffic management system that does not overlook the above-mentioned parameters of an intersection. However, most existing research and implementation either employ a single technology or partially combine many techniques. Furthermore, several studies attempt to reinvent object-detecting methods that have already proven themselves. In order to accurately represent real-world traffic intersections and optimize vehicle flow through them, we have suggested a method that combines Reinforcement Learning (RL) with already-developed object detection and tracking algorithms. © 2023 IEEE.

关键词： Reinforcement learning

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BUS Foot Board control Using IOT 15

BUS Foot Board Control Using IOT

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15th international conference on computing communication and networking Technologies, ICCCNT 2024

作者： Indhumathi, N. Maheswaran, S. Shunmuganantha, M. Vikash, P.A. Vimal Raj, R.S. Kongu Engineering College Department of Electronics and Communication Engineering Erode Tamil Nadu Perundurai638060 India Kongu Engineering College Department of Ece Erode Tamil Nadu Perundurai638060 India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370249

Bus footboard accidents in India have emerged as a significant safety challenge within the public transportation landscape. By prioritizing passenger safety and leveraging innovative solutions, the goal is to establish a more secure environment within public transportation systems. It employs a combination of advanced technologies including PIC controller, infrared sensors, Load cell sensor and automated alert systems. Load cell sensor strategically placed on the footboard continually monitor passenger presence and weight distribution, enabling the system to detect potential instability or overcrowding situations and send the signal to the PIC16F877A. Using IoT technology, the information that the passengers travelling in the footboard can be updated in the server using the IoT technology. In response to detected risks, the system triggers automated alerts to both the driver and passengers, prompting immediate corrective measures. It aims to revolutionize footboard safety in public transportation, offering an intelligent and responsive solution to mitigate accidents and enhance the overall security of passengers during boarding and disembarking processes. It aims to reduce speed of the bus when the passengers were on the footboards which is safer for passengers. It uses sensors and smart technology to keep an eye on the footboard area where passengers stand. These sensors can detect if it's getting too crowded or if someone is in a tricky spot. If there's a risk of someone getting hurt, it sends alerts to the bus driver and passengers, so everyone can be careful. It is designed to reduce accidents and create a safer experience for people using public transportation. © 2024 IEEE.

关键词： Audio systems Infrared sensors Light emitting diodes Conductors Safety Servers Security Public transportation Monitoring Accidents

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