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Vulnerability Scanning and Analysis Tool (VSAT) 9

Vulnerability Scanning and Analysis Tool (VSAT)

引用

9th International Conference on Smart Computing and Communications, ICSCC 2023

作者： Nair, Aarya Anil, Abhinav Pallivathuckal, Anna Rose Daiju, Dijo John, Jomina Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Kochi India

ISBN: (纸本)9798350314090

Due to exponential technological advancement, the number of cyber attacks has been steadily increasing and leading to substantial loss of profits, productivity losses, reputational damage as well as judicial liability. To ensure that cyber attacks do not occur, it is important to identify vulnerabilities in web applications. This paper presents a vulnerability scanning tool that involves continuous monitoring and testing of Web applications which analyses the various vulnerabilities that are present in a system. Different types of scans that are performed to detect these vulnerabilities are also explained. © 2023 IEEE.

关键词： Network security

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Analysis of Time-Lapse Camera Using IoT

Analysis of Time-Lapse Camera Using IoT

引用

2023 International Conference on Circuit Power and Computing Technologies, ICCPCT 2023

作者： Manjunatha Swamy, C. Sundaram, S. Meenakshi Pranati, N. Karthik, R. Srivatsan, R. New Horizon College of Engineering Dept. of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350333244

Time-lapse photography is a widely used technique in various applications, such as film and video production, construction, and scientific research. However, traditional methods for creating time-lapse photography are limited and often require manual intervention, which can be time-consuming and error-prone. Additionally, current systems are not easily portable, and it's difficult to access the footage remotely. In this paper, we propose an IoT-enabled time-lapse camera that addresses these limitations by providing a solution that is easy to use, can be deployed in a variety of locations, and provides remote access to the footage. The camera is designed to capture high-quality images at set intervals and store them on a cloud platform for easy access. A desktop application is also developed to allow the user to remotely control and monitor the camera, set the camera's settings, and view the footage. Experiments were conducted to evaluate the performance of the proposed system. The results show that the proposed system significantly improves the efficiency of time-lapse photography and makes it more accessible to a wider range of users. The system is easy to use, has a low power consumption, and is highly scalable, making it suitable for various applications. The proposed IoT-enabled time-lapse camera provides a practical solution for creating time-lapse photography and has the potential to significantly impact the way time-lapse photography is done. © 2023 IEEE.

关键词： Remote control

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Impacts of Earthing Variations on Overvoltage in Meshed Multi-terminal DC Grid 50

Impacts of Earthing Variations on Overvoltage in Meshed Mult...

引用

50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Bader, Amir Ar-Rahman Ukil, Abhisek Dept. of Engineering Science The University of Auckland Auckland New Zealand Dept. of Electrical Computer and Software Engineering The University of Auckland Auckland New Zealand

ISBN: (纸本)9781665464543

This paper investigates the impact of different earthing methods on overvoltage within modular multilevel Voltage Source Converter (MMC VSC) based Direct Current (DC) transmission and distribution grids, particularly in meshed multi-terminal (MTDC) configurations. A bipolar MTDC grid is modelled and simulated in PSCAD/EMTDC to investigate the influence of earthing on midpoint overvoltages. The transient response of the grid under DC fault scenarios is analysed through various case-studies, including solid earthing placement, variations in earthing impedance, and the application of surge arresters. The findings show the critical role of earthing in mitigating overvoltage, with low-resistive earthing options proving to be the most effective trade-off. © 2024 IEEE.

关键词： bipolar dedicated metallic return earthing meshed MTDC overvoltage

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An Automated Floor Cleaner Robot for Domestic and Industrial Applications

An Automated Floor Cleaner Robot for Domestic and Industrial...

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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Hussein, Molla Rashied Shaikat, Abu Salman Tasnim, Rumana Zonayed, Md Amin, Abdullah Al Rahman, Shahed Jhara, Sayma Sultana University of Asia Pacific Dept. of Computer Science & Engineering Dhaka Bangladesh Laurentian University Bharti School of Engineering and Computer Science Canada World University of Bangladesh Dept. of Mechatronics Engineering Dhaka Bangladesh Anglia Ruskin University Dept of Mechanical Engineering Essex United Kingdom

ISBN: (纸本)9798350369106

Smart home technologies have significantly enhanced comfort and convenience in our daily lives by facilitating several domestic tasks. Household robots utilized in smart homes are designed to maintain clean floor spaces. The manually operated floor cleaning machines are exceedingly labor-intensive and time-consuming. Furthermore, fuel-operated machinery is prohibitively expensive as well as detrimental to the environment. This paper presents the design and development of an automated floor cleaning robot that eliminates previous limitations, thereby conserving both time and financial resources by reducing human labor costs. Recently, several household robots, particularly floor-cleaning robots, have been developed. Nonetheless, only a limited number of advanced robots were dedicated to the wet cleaning of floors. This study presents an efficient automated vacuum cleaning robot that can perform both vacuuming and wet cleaning of floor surfaces while navigating the area. This eliminates the labor and necessity of designating separate time for cleaning the premises. The automated robot was initially designed, followed by the construction of an effective chassis. Subsequently, IR sensors, an Arduino Nano, motor drivers, and a motor shield were incorporated into the system. The economical and user-friendly robot is designed for autonomous cleaning of various surfaces in both household and industrial settings. © 2024 IEEE.

关键词： Wages

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Prakruthi Sedhya: A Natural Farming Mobile App

Prakruthi Sedhya: A Natural Farming Mobile App

引用

2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent engineering, ICECONF 2023

作者： Sambrajyam, J. Tejaswini Rao, J. Ranga Reddy, E. Eswar Chowdary, K. Yashwanth V R Siddhartha Engineering College Dept. of Computer Science and Engineering India

ISBN: (纸本)9798350334357

Andhra Pradesh Community Natural Farming (APCNF) is an organization that promotes natural farming. Their farming techniques are low-cost and eco-friendly and include the use of local resources. Natural farming has the ability to achieve the twin objectives of ensuring global food security and environmental preservation because it does not rely on agrochemicals. The Andhra Pradesh government has initiated Rythu Sadhikara Samstha (RySS), which occasionally conducts village-level training on natural farming techniques through SHG and RySS groups. But, it is still unknown to many people and has no support to assist them. We have designed this Prakruthi Sedhya application, a complete Natural Farming Mobile app. Our motto is to help people by assisting them in farming and creating a network among them. This app provides details about cultivating different crops, using natural farming techniques, and crop care information, including preparing natural fertilizers and using them at appropriate times. Furthermore, it indicates the weather forecast in each region. It also includes details about government schemes and minimum support prices(MSP) of all crops, fixed by the central government of India. This application connects farmers and buyers so that farmers can sell their yield directly to customers. Building a network among farmers through discussion forums can also be met. This app was created using real data that was gathered from APCNF specialists, agriculture officers, and active farmers. It is a complete Telugu language-based app and anyone can use this app because it is made to be user-friendly. © 2023 IEEE.

关键词： Crops

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'Unlocking the Future of Stock Market Trend Prediction: Advancements with Long Short-Term Memory (LSTM) Models' 14

'Unlocking the Future of Stock Market Trend Prediction: Adva...

引用

14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023

作者： Rajan, Rajeswary Soni, P. Government Engineering College Dept. of Computer Science and Engineering Kerala Thrissur India

ISBN: (纸本)9798350335095

The stock marketplace is a complex and dynamic environment where traders attempt to make informed choices to maximize their returns. Predicting the destiny tendencies of stock prices is a difficult project due to various factors influencing marketplace conduct. In recent years, deep mastering strategies, along with long short-term memory (LSTM), have won enormous interest for their capacity to capture elaborate styles and dependencies in time-collection information. This paper aims to develop an LSTM-based stock market trend prediction model with the objective of achieving significantly higher accuracy compared to existing approaches. The goal is to generate valuable insights from the predictions, enabling investors and traders to make more informed decisions in the stock market. These insights could include identifying potential trends, forecasting market movements, or suggesting optimal trading strategies. © 2023 IEEE.

关键词： Long short-term memory

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Sign Language Identification using Skeletal Point-based Spatio-Temporal Recurrent Neural Network 9

Sign Language Identification using Skeletal Point-based Spat...

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9th International Conference on Smart Computing and Communications, ICSCC 2023

作者： Johnson, Jans Joseph, Jisha Reji, Maris George, Megha Elisa Sajanraj, T.D. Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Kochi India

ISBN: (纸本)9798350314090

Sign language is a visual language that serves as the primary means of communication in the non-hearing community. It is essential to research and develop sign language translation methods to enable smooth communication between the non-hearing and the hearing communities. The non-hearing community faces several challenges that hinder their interaction with the general public, such as the lack of knowledge of sign language and the availability of interpreters. A Sign Language Converter would thus be an important tool in breaking the communication barrier between the non-hearing and hearing communities. The paper aims to build a model that converts Indian Sign Language into corresponding words. We plan on using a skeletal-point feature extraction framework to identify hand landmarks from sequences containing distinct signs and use these landmarks to build a model for recognizing hand gestures using various Long Short-Term Memory (LSTM) Networks. [1] This approach can produce an accurate result compared to the traditional approach. The dataset is made by the co-authors of this paper due to the insufficiency of pre-existing ISL datasets. The user will be monitored and using the machine learning techniques discussed above, which will perform the real-time translation to display the final result. © 2023 IEEE.

关键词： Audition

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Route Optimization for Fuel Consumption and CO2 Emission Considering Two-Wheelers 3

Route Optimization for Fuel Consumption and CO2 Emission Con...

引用

3rd International Conference on Technological Advancements in Computational sciences, ICTACS 2023

作者： Kumar, Ayush Singh, Sandeep Sharma, Sumit Chandigarh University Dept. of Civil Engineering Punjab Mohali India Chandigarh University Dept. of Computer Science Punjab Mohali India

ISBN: (纸本)9798350342338

In developing countries, two-wheelers are highly used as a mode of transport which also contributes maximum amount in a traffic volume. Fuel consumption and CO2 emissions of two-wheelers need to be taken into account for every trip to travel more economically and less harmful for the environment. Route optimization can be helpful to find the most efficient route. In this paper, the most efficient route is found out of three alternate routes for a one specific origin to three different destinations considering two-wheelers. The experimental routes are determined with the use of three different navigational service providers. In the conclusion, this study proposes that Google Maps is the most reliable navigation service provider and the routes which are most efficient is route 3, route 2 and route 2 with respective to destinations PGI Hospital, High Court and Elante Mall. © 2023 IEEE.

关键词： CO2 Emission Factor Fuel Consumption Parameter Route Optimization

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Stock Price Prediction using Various LSTMs 2

Stock Price Prediction using Various LSTMs

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2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023

作者： Narayana, Satyala Keerthi, Kokkiligadda Stuthi Srinivasulu, Anneboina Keerthika, Vampugani Prakash, Teki Veera Venkata Satya Sr Gudlavalleru Engineering College Dept. of Computer Science & Engineering Gudlavalleru India

ISBN: (纸本)9781665491990

In the world of the stock market, everyone wants to make money with fewer risks. Owing to the stock market's complexity, even if you do manage to understand it, you can never truly say that you do. For predicting share prices, a wide range of estimation techniques, which include technical analysis and fundamental analysis, have been employed. Due to its uncertainty, people still find it challenging to predict even after that. Additionally, new investors will continually enter the stock market at regular intervals. The fundamental issue faced with the current models, especially recurrent neural networks, is disappearing gradient. Consequently, the process of fully grasping the stock market and aiding investors in generating profits continues to insist on the use of varied deep learning methodologies to anticipate future stock prices. The five Deep Learning (DL) Long Short-Term Memory (LSTM) models used in this study, each demonstrated promising forecasting results for the same time series when one-step ahead predictability for stock market prices was performed. The findings are confirmed using RMSE computation. © 2023 IEEE.

关键词： Long short-term memory

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An Improved Leukemia Detection Model using CNN

An Improved Leukemia Detection Model using CNN

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2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023

作者： Aditya, Y. Durga, M. Venkata Siva Naga Sai Teja, K. Hari Priya, J. Eswar Datta, K. Sr Gudlavalleru Engineering College Dept. of Computer Science and Engineering Gudlavalleru India

ISBN: (纸本)9798350397208

Leukemia is a kind of cancer in which a significant number of immature lymphocyte blood cells form, interfering with the formation of other blood cells. Normally, Leukemia can be identified by using Complete Blood Count(CBC) test. If there is too few or too many of one type of blood cells are presents in CBC then that indicates Leukemia. Even though leukaemia affects children 80% of the time, it can be fatal when it affects adults. So Early detection of Leukemia is very important to save lives. computer technology can help in quick Leukemia diagnosis. This study uses Convolution Neural Network (CNN) model for classifying microscopic blood cells images to predict whether the person is having Leukemia or not. © 2023 IEEE.

关键词： Diseases

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