Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037443
Swapnil Singh, D. Krishnan, Pranit Sehgal, Harshit Sharma, Tarun Surani, Jay P. Singh
Sentiment Analysis has increasingly been used nowadays in many applications to evaluate opinion of public about products, policies, movies, politics. It is also used by government and law enforcement to understand behavior of people. One of the potential applications of sentiment analysis is candidate profiling and job recommendation. In the proposed research work, we evaluated the performance of supervised machine learning algorithms on dataset generated by us from twitter and indeed. We illustrated the steps involved in preproccesing the dataset generated through web scraping and making it ready for feeding into supervised algorithms. From our experimental study it is observed that Gradient Boosting Classifier gave the highest classification accuracy of 78.08 percent and AUC score of 0.819 on the test dataset.
{"title":"Gradient Boosting Approach for Sentiment Analysis for Job Recommendation and Candidate Profiling","authors":"Swapnil Singh, D. Krishnan, Pranit Sehgal, Harshit Sharma, Tarun Surani, Jay P. Singh","doi":"10.1109/IBSSC56953.2022.10037443","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037443","url":null,"abstract":"Sentiment Analysis has increasingly been used nowadays in many applications to evaluate opinion of public about products, policies, movies, politics. It is also used by government and law enforcement to understand behavior of people. One of the potential applications of sentiment analysis is candidate profiling and job recommendation. In the proposed research work, we evaluated the performance of supervised machine learning algorithms on dataset generated by us from twitter and indeed. We illustrated the steps involved in preproccesing the dataset generated through web scraping and making it ready for feeding into supervised algorithms. From our experimental study it is observed that Gradient Boosting Classifier gave the highest classification accuracy of 78.08 percent and AUC score of 0.819 on the test dataset.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"110 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":"123238116","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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037366
N. Krishnan, Manav Tp, A. N. Geethanjali, Dinesh Kumar, N. Seenu, G. Balaji
A drone is a flying robot that can be remotely controlled or fly autonomously using software-controlled flight plans in its embedded systems, that work in conjunction with onboard sensors and a global positioning system (GPS). UAVs were most often associated with the military. They are used in many applications like Photography and Videography, delivering goods, monitoring change in climate, surveillance and target attacks in military, besides these, drones can also be a very good equipment that can be used in times of a disaster. In case of natural disasters like earthquakes, floods and fire accidents, there will be difficulty in locating and visualizing the disaster-affected area and locating where people are trapped. In such a case, a drone can be used to visualize the condition of the disaster occurred area and locate where the people are trapped. The drone is operated using ROS where the communication between ROS and the drone is made. The drone can also be fed with image-processing algorithms to locate people and also the level of damage can be calculated.
{"title":"Design and Development of Drone","authors":"N. Krishnan, Manav Tp, A. N. Geethanjali, Dinesh Kumar, N. Seenu, G. Balaji","doi":"10.1109/IBSSC56953.2022.10037366","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037366","url":null,"abstract":"A drone is a flying robot that can be remotely controlled or fly autonomously using software-controlled flight plans in its embedded systems, that work in conjunction with onboard sensors and a global positioning system (GPS). UAVs were most often associated with the military. They are used in many applications like Photography and Videography, delivering goods, monitoring change in climate, surveillance and target attacks in military, besides these, drones can also be a very good equipment that can be used in times of a disaster. In case of natural disasters like earthquakes, floods and fire accidents, there will be difficulty in locating and visualizing the disaster-affected area and locating where people are trapped. In such a case, a drone can be used to visualize the condition of the disaster occurred area and locate where the people are trapped. The drone is operated using ROS where the communication between ROS and the drone is made. The drone can also be fed with image-processing algorithms to locate people and also the level of damage can be calculated.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"48 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":"131011510","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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037297
Akash Ajith, S. Babu, Sangeeth K, S. K, Manoj V. Thomas
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.
{"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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037560
Vandana Bharadi, Satya Prakash Awasthi
Student's performance analysis has taken a leap of faith in past two years when the delivery mode was shuttling between online and offline. Various factors which are significantly affecting student's performance are now newly to be researched and identified. Its very important to not only consider and study the effect of various academic factors but also socio-economic factors are needed to analyzed. Predictive analytics has shown its capabilities in efficiently predicting results in wide areas of application including academics. This analysis and prediction is most crucial in the developing country like India, where the published rate of retention of students at university level considered very low. In this research, the academic and socio-economic details collected from student through survey. Further efficacy of various machine-learning algorithms assessed by running these algorithms on survey data. The findings demonstrate that some machine learning algorithms may create accurate predictive models using historical data on student retention.
{"title":"Variables identification for Students Performance Prediction","authors":"Vandana Bharadi, Satya Prakash Awasthi","doi":"10.1109/IBSSC56953.2022.10037560","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037560","url":null,"abstract":"Student's performance analysis has taken a leap of faith in past two years when the delivery mode was shuttling between online and offline. Various factors which are significantly affecting student's performance are now newly to be researched and identified. Its very important to not only consider and study the effect of various academic factors but also socio-economic factors are needed to analyzed. Predictive analytics has shown its capabilities in efficiently predicting results in wide areas of application including academics. This analysis and prediction is most crucial in the developing country like India, where the published rate of retention of students at university level considered very low. In this research, the academic and socio-economic details collected from student through survey. Further efficacy of various machine-learning algorithms assessed by running these algorithms on survey data. The findings demonstrate that some machine learning algorithms may create accurate predictive models using historical data on student retention.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"20 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":"126433665","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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037276
Pratik. B. Kamble, B. Jadhav
The fermentation process is one of the most important processes in wine making. A certain amount of ratio of chemical compounds in red wine grape juice provides good quality wine. Acidifying and deacidifying grapes juice process is very complicated and non-linear, and ambiguous. Before starting the fermentation process the optimum balance of acid and pH is necessary. The purpose of this study is to develop a fuzzy expert system, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine. A fuzzy interference system is used, if the acid level is low i.e. below 5 g/L then the acidification process will be carried out if the acid level is high i.e. above 8 g/L deacidification process will be carried out. A fuzzy rule base system handles uncertainty and gives a decision on acidifying and deacidifying processes. Domain expert takes trials of tartaric acid and pH values to get the optimum required amount of tartaric acid and carbonates value which is a time-consuming task. According to results, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine.
{"title":"Fuzzy Expert System for Acidification and Deacidification Process in Red Wine Grape Juice","authors":"Pratik. B. Kamble, B. Jadhav","doi":"10.1109/IBSSC56953.2022.10037276","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037276","url":null,"abstract":"The fermentation process is one of the most important processes in wine making. A certain amount of ratio of chemical compounds in red wine grape juice provides good quality wine. Acidifying and deacidifying grapes juice process is very complicated and non-linear, and ambiguous. Before starting the fermentation process the optimum balance of acid and pH is necessary. The purpose of this study is to develop a fuzzy expert system, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine. A fuzzy interference system is used, if the acid level is low i.e. below 5 g/L then the acidification process will be carried out if the acid level is high i.e. above 8 g/L deacidification process will be carried out. A fuzzy rule base system handles uncertainty and gives a decision on acidifying and deacidifying processes. Domain expert takes trials of tartaric acid and pH values to get the optimum required amount of tartaric acid and carbonates value which is a time-consuming task. According to results, this system can easily manipulate how much amount of acid or carbonates are required in red wine grape juice which saves time and gives good quality to the wine.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"2014 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":"127436191","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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037553
Priyam Porwal, M. Devare
The paper helps to predict the future citation value of a fresh dataset of research papers by considering the past values of the citation count of paper using univariate time series analysis models and evaluating their performance through various evaluation metrics. It is important to predict future citation count as it helps to assess researcher's achievements, promotions, fund allocation, etc. This research is in addition to past research where for prediction, different parameters like content of paper, author details, venue impact etc. were considered. The real and original data for the dataset was extracted from the Google Scholar profile of top ranked authors. Three models of time series, Autoregressive Integrated moving average(ARIMA), Simple exponential smoothing (SES), and Holt winter's exponential Smoothing (HWES) are applied to observe the result variations. The models obtained error metric values for the complete dataset. All four-evaluation metrics were calculated. The best results for the predictions for citation count were obtained from the Simple exponential smoothing and Holt winter's exponential Smoothing models, whose values were almost the same for all evaluation metrics because of almost no change in formula. Among all fourerror metrics mentioned in the design, MASE gave sensible results, with almost all values being less than 1. The results showed similar graphs for both Simple exponential smoothing and Holt winter's exponential smoothing models for actual and predicted values of citation count as there is negligible difference in formula.
{"title":"Citation Count Prediction Using Different Time Series Analysis Models","authors":"Priyam Porwal, M. Devare","doi":"10.1109/IBSSC56953.2022.10037553","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037553","url":null,"abstract":"The paper helps to predict the future citation value of a fresh dataset of research papers by considering the past values of the citation count of paper using univariate time series analysis models and evaluating their performance through various evaluation metrics. It is important to predict future citation count as it helps to assess researcher's achievements, promotions, fund allocation, etc. This research is in addition to past research where for prediction, different parameters like content of paper, author details, venue impact etc. were considered. The real and original data for the dataset was extracted from the Google Scholar profile of top ranked authors. Three models of time series, Autoregressive Integrated moving average(ARIMA), Simple exponential smoothing (SES), and Holt winter's exponential Smoothing (HWES) are applied to observe the result variations. The models obtained error metric values for the complete dataset. All four-evaluation metrics were calculated. The best results for the predictions for citation count were obtained from the Simple exponential smoothing and Holt winter's exponential Smoothing models, whose values were almost the same for all evaluation metrics because of almost no change in formula. Among all fourerror metrics mentioned in the design, MASE gave sensible results, with almost all values being less than 1. The results showed similar graphs for both Simple exponential smoothing and Holt winter's exponential smoothing models for actual and predicted values of citation count as there is negligible difference in formula.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"13 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":"114389496","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}
The potential of the 5G network model to revolutionize Industry and Education is exemplified through 5G technology use cases. Enhanced Mobile Broadband, Massive Machine Type Communication, and Ultra Reliable and Low Latency Communication are the three key components of the 5G concept. The services that 5G provides to users are contained inside these blocks. This study focuses on the concept of a “School on Wheels” as a beneficiary of 5G technologies. Rural Education will benefit from the implementation of 5G-enabled services that are specialized to this industry. We offered frameworks for advancing tools that will accelerate the idea of a Smart Educational System by linking 5G and its disruptive technologies. As a result, this paper provides a thorough examination of 5G technologies, which will facilitate new teaching and learning trends in the educational environment.
{"title":"Implementation of 5G Technology in Rural Education of India","authors":"Unnati Agarwal, Pranjal Dave, Aarushi Tiwari, Vinit Upadhyay, M. Sankhe, Saurav Shrivastav","doi":"10.1109/IBSSC56953.2022.10037466","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037466","url":null,"abstract":"The potential of the 5G network model to revolutionize Industry and Education is exemplified through 5G technology use cases. Enhanced Mobile Broadband, Massive Machine Type Communication, and Ultra Reliable and Low Latency Communication are the three key components of the 5G concept. The services that 5G provides to users are contained inside these blocks. This study focuses on the concept of a “School on Wheels” as a beneficiary of 5G technologies. Rural Education will benefit from the implementation of 5G-enabled services that are specialized to this industry. We offered frameworks for advancing tools that will accelerate the idea of a Smart Educational System by linking 5G and its disruptive technologies. As a result, this paper provides a thorough examination of 5G technologies, which will facilitate new teaching and learning trends in the educational environment.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"62 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":"131381955","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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037436
W. Xiao, Heqing Li, Deying Liu, Yi Zuo, Weiren Zhu, Yuning Yin
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.
{"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}
Pub Date : 2022-12-08DOI: 10.1109/IBSSC56953.2022.10037546
Noshin Sabuwala, R. Daruwala
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.
无人驾驶飞行器(uav)或无人机和地面控制站(GCS)经常使用轻型微型飞行器链路(MAVLink)协议进行通信。它描述了在GCS和无人机之间来回发送的一系列通信。通信提供有关无人机状态的数据和由GCS发送的控制命令。但是，MAVLink协议缺乏安全性，容易受到多种攻击，对公共安全构成严重威胁。针对这一问题提供补救措施的研究较少。为了填补这一空白，我们在本文中讨论了MAVLink协议中的安全漏洞，并研究了研究人员为MAVLink提出的三种安全集成算法——ChaCha20、Encryption by Navid和DMAV，以保护无人机和gcs之间来回发送的MAVLink消息。使用名为Gazebo的模拟环境，案例研究检查了自动驾驶系统，Ardupilot(无人机)和QGroundControl (GCS)使用的方法，以评估它们在数据包传输速度，内存利用率和CPU消耗方面的性能。实验结果表明，ChaCha20比其他加密算法更有效，性能更好。通过将ChaCha20集成到MAVLink中，可以保证资源受限无人机的电池寿命和信息保密性。这可以在不降低MAVLink性能的情况下完成，同时使用类似的内存和CPU。
{"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}
Real estate has always been a significant investment sector, but it has a high barrier to entry. Bitland Project aims to use blockchain technology in the real estate market, which could have an impact on market inefficiencies. Bitland is a platform that uses smart contracts to provide services for selling fractional ownership, registering real estate in the property registration and investors to buy the commercial property. This paper discusses existing blockchain application use cases in the real estate market. The study discusses current problems and roadblocks that must be overcome before blockchain technology can completely mature in this business. The goal is to create a blockchain-based digital real estate network for the management of investment properties and to handle the distribution of real estate smart contracts.
{"title":"Bitland-A Decentralized Commercial Real Estate Platform","authors":"Sakshi Sanjay Pande, Shrushti Mandolikar, Sanjay Shitole","doi":"10.1109/IBSSC56953.2022.10037494","DOIUrl":"https://doi.org/10.1109/IBSSC56953.2022.10037494","url":null,"abstract":"Real estate has always been a significant investment sector, but it has a high barrier to entry. Bitland Project aims to use blockchain technology in the real estate market, which could have an impact on market inefficiencies. Bitland is a platform that uses smart contracts to provide services for selling fractional ownership, registering real estate in the property registration and investors to buy the commercial property. This paper discusses existing blockchain application use cases in the real estate market. The study discusses current problems and roadblocks that must be overcome before blockchain technology can completely mature in this business. The goal is to create a blockchain-based digital real estate network for the management of investment properties and to handle the distribution of real estate smart contracts.","PeriodicalId":426897,"journal":{"name":"2022 IEEE Bombay Section Signature Conference (IBSSC)","volume":"61 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":"126867121","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}
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