2022 IEEE Bombay Section Signature Conference (IBSSC)最新文献_第3页

Design and Development of Drone 无人机的设计与开发

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037366

N. Krishnan, Manav Tp, A. N. Geethanjali, Dinesh Kumar, N. Seenu, G. Balaji

引用次数: 1

Implementation of 5G Technology in Rural Education of India 5G技术在印度农村教育中的应用

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037466

Unnati Agarwal, Pranjal Dave, Aarushi Tiwari, Vinit Upadhyay, M. Sankhe, Saurav Shrivastav

引用次数: 0

A Study of LIME and SHAP Model Explainers for Autonomous Disease Predictions 自主疾病预测的LIME和SHAP模型解释器研究

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037324

Sannidhi Rao, S. Mehta, Shreya Kulkarni, Harshal Dalvi, Neha Katre, M. Narvekar

{"title":"A Study of LIME and SHAP Model Explainers for Autonomous Disease Predictions","authors":"Sannidhi Rao, S. Mehta, Shreya Kulkarni, Harshal Dalvi, Neha Katre, M. Narvekar","doi":"10.1109/IBSSC56953.2022.10037324","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037324","url":null,"abstract":"Autonomous disease prediction systems are the new normal in the health industry today. These systems are used for decision support for medical practitioners and work based on users' health details input. These systems are based on Machine Learning models for generating predictions but at the same time are not capable to explain the rationale behind their prediction as the data size grows exponentially, resulting in the lack of user trust and transparency in the decision-making abilities of these systems. Explainable AI (XAI) can help users understand and interpret such autonomous predictions helping to restore the users' trust as well as making the decision-making process of such systems transparent. The addition of the XAI layer on top of the Machine Learning models in an autonomous system can also work as a decision support system for medical practitioners to aid the diagnosis process. In this research paper, we have analyzed the two most popular model explainers Local Interpretable Model-agnostic Explanations (LIME) and SHapley Additive exPlanations (SHAP) for their applicability in autonomous disease prediction.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132910859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Novel Method in Procedural Maze Generation 程序迷宫生成的一种新方法

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037297

Akash Ajith, S. Babu, Sangeeth K, S. K, Manoj V. Thomas

{"title":"A Novel Method in Procedural Maze Generation","authors":"Akash Ajith, S. Babu, Sangeeth K, S. K, Manoj V. Thomas","doi":"10.1109/IBSSC56953.2022.10037297","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037297","url":null,"abstract":"The concept of procedural content generation (PCG) in game development has existed for a long time. It is used in games for the generation of unique content which help in making the game re-playable. Procedural content generation can be used in almost all game design areas. From level generation to creating a storyline for the game, the use of PCG helps in decreasing the overall time required to design an interesting game. The only problem with PCG is that it is hard to implement and optimize. This document consists of an algorithm that works on a type of recursion and the concept of snappable meshes. This is done using prefabs and other features that are available in Unity Engine[6]. All the methods mentioned in this document are done using Unity Engine. Unity Engine is one of many famous game engines that are available online. The algorithm mentioned helps in creating a procedural maze. The game levels are generated dynamically, allowing the player to experience new levels and avoid repetition of the same levels as in traditional games. The algorithm and its implementation in Unity Engine are explained in detail. How the meshes are spawned and placed dynamically to generate a level is also discussed.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128412680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI based Classification for Autism Spectrum Disorder Detection using Video Analysis 基于视频分析的自闭症谱系障碍检测AI分类

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037438

Shivani Pandya, Swati Jain, J. P. Verma

{"title":"AI based Classification for Autism Spectrum Disorder Detection using Video Analysis","authors":"Shivani Pandya, Swati Jain, J. P. Verma","doi":"10.1109/IBSSC56953.2022.10037438","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037438","url":null,"abstract":"Autism spectrum Disorder(ASD) is a complex neurobehavioral disorder that affects a person's ability to communicate and interact with others. It is also characterized by repetitive behaviors and restricted interests. There is no one-size-fits-all approach to autism, but early intervention and treatment can make a big difference in a person's life. Machine learning and deep learning are two promising areas of research that may help to improve our understanding of autism and lead for better treatments. Machine learning and Deep Learning approaches of artificial intelligence allows computers to learn from data without being explicitly programmed. These models could potentially be used to improve our ability to communicate with, and understand people with autism. Various machine-learning techniques are used to predict autism at an early stage. Support Vector Machine (SVM), Decision tree, Naïve Bayes, Random Forest, Logistic Regression, and K-Nearest Neighbour are some of the machine learning techniques used in this research area. Various advancement in the field of machine learning and Artificial Intelligence (AI) has helped in the development of ASD Detection using Machine learning and Deep Learning. In this research work, the prediction of Autism Spectrum Disorder has been performed on a video dataset. The video dataset contains the video of Autistic and Non-Autistic kids performing four different actions. The video features have been extracted through Convolutional Neural Network(CNN) models such as Inception V3and Resnet50 and are trained through long Short Term Memory(LSTM) based models by using this we get 91 % accuracy.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134548350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Motor Modelling and Magnetic adhesion Simulation For Hybrid Wall Climbing AGV 混合爬壁AGV电机建模与磁附着仿真

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037311

Lokesh Ramesh, Crispin Marie Peter G, Gladwyn K, Sundeep R, T. A, Ramkumar

{"title":"Motor Modelling and Magnetic adhesion Simulation For Hybrid Wall Climbing AGV","authors":"Lokesh Ramesh, Crispin Marie Peter G, Gladwyn K, Sundeep R, T. A, Ramkumar","doi":"10.1109/IBSSC56953.2022.10037311","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037311","url":null,"abstract":"The AGV's are beginning to change the way of the industries, there are still rooms for development of those AGV's. The hybrid AGV's which can climb walls and move on land for various purposes. The magnetic adhesion plays a major role in deciding the payload of the robot. The distance between the magnet and the iron rail surface embedded in the wall. The analysis was done on the magnet and the metal surface with FEMM software to find the best position to place the magnet in the robot. The distance between the magnet and the iron rail was also analyzed to reduce the friction and avoid magnets sticking to the rail. As it was found that the magnets positioning does play an important role in the overall payload and to give the required data to design the AVG to increase its performance. The design of the AGV is an important factor to consider the payload and the balance of the robot while climbing the wall to make sure that it doesn't fail. The motor modelling has been done with the help of MATLAB and the results are been recorded and is used for further studies and to incorporate the same in the mechanical design and make the AGV work properly. In summarizing the work, the magnets along with a design can improve the overall ability to perform the operations is essential, also the Motor modelling and the analysis done in MATLAB with Simulink will provide the results and data to make the AGV move with more precision.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131778708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Observation of Online vs Offline Learning Experience 线上与线下学习体验的观察

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037377

Siddharth Padhiar, K. Mehta, Juhi Patel, S. Panda

引用次数: 0

Non-contact detection of trench quality by UAV-LiDAR system 基于无人机-激光雷达系统的沟槽质量非接触检测

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037436

W. Xiao, Heqing Li, Deying Liu, Yi Zuo, Weiren Zhu, Yuning Yin

{"title":"Non-contact detection of trench quality by UAV-LiDAR system","authors":"W. Xiao, Heqing Li, Deying Liu, Yi Zuo, Weiren Zhu, Yuning Yin","doi":"10.1109/IBSSC56953.2022.10037436","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037436","url":null,"abstract":"In order to promote the innovation of agricultural science and technology and the development of smart agriculture, a non-contact trench quality inspection system, UAV-LiDAR, is developed in this paper. The system uses the unmanned aerial vehicle (UAV) as the mobile flight platform, which can realize the non-contact trench quality data acquisition and automatic evaluation of the trench quality by carrying LiDAR, IMU, router and microcomputer. First of all, point cloud data sets of different areas of the whole farmland were acquired by UAV-LiDAR. Secondly. according to the normal deviation matching algorithm, appropriate frames were chosen to match the point cloud data of furrows in different regions, and the point clouds of each region were registered to the unified coordinate system to obtain the complete point cloud data of the whole farmland furrows. In the endusing the poisson surface reconstruction to realize the reconstruction surface of the complete furrow point cloudmeasuring the trench surface width, trench bottom width and trench depth of the furrow. The experimental results showed that the method proposed in this paper can effectively detect the working performance of the ditching machine. Compared with the manual measurement results, the identification time reduced by $15sim 20$ minutes, and the detection efficiency and accuracy are improved by $50%sim 66.67%$ and $22.96% sim 29.37%$, respectively. It realizes the visual remote appraisal of the performance of the trench machine, and provides an intelligent appraisal means for the performance of agricultural machinery.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Securing Unmanned Aerial Vehicles by Encrypting MAVLink Protocol 通过加密MAVLink协议保护无人机

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037546

Noshin Sabuwala, R. Daruwala

{"title":"Securing Unmanned Aerial Vehicles by Encrypting MAVLink Protocol","authors":"Noshin Sabuwala, R. Daruwala","doi":"10.1109/IBSSC56953.2022.10037546","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037546","url":null,"abstract":"Unmanned Aerial Vehicles (UAVs) or drones and Ground Control Station (GCS) frequently use the lightweight Micro Air Vehicle Link (MAVLink) protocol for communication. It describes a series of communications sent back and forth between a GCS and a UAV. The communication provides data regarding the status of the UAV and orders for control sent by the GCS. However, the MAVLink protocol lacks security and is susceptible to several attacks, which poses serious risks to public safety. There is less research that offer remedies for this issue. To fill the gap, we talk about the security flaws in the MAVLink protocol in this paper and examine three security-integrated algorithms - ChaCha20, Encryption by Navid, and DMAV that researchers have proposed for MAVLink to protect the MAVLink messages that are sent back and forth between UAVs and GCSs. Using a simulated environment called Gazebo, a case study examines the methods used by the autopilot system, Ardupilot (a UAV), and QGroundControl (a GCS) to assess how well they perform in terms of packet transfer speed, memory utilisation, and CPU consumption. The results of the experiments demonstrate that ChaCha20 is more effective and performs better than other encryption algorithms. A resource-constrained drone's battery life and message secrecy can both be preserved by integrating ChaCha20 into MAVLink. This can be done without degrading MAVLink's performance and while using similar memory and CPU.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115414661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Bitland-A Decentralized Commercial Real Estate Platform bitland -分散式商业地产平台

2022 IEEE Bombay Section Signature Conference (IBSSC) Pub Date : 2022-12-08 DOI: 10.1109/IBSSC56953.2022.10037494

Sakshi Sanjay Pande, Shrushti Mandolikar, Sanjay Shitole

引用次数: 0