Suraj Suresh Kumar, Thirunavukkarasu Indiran, George Vadakkekara Itty, Chirag Gupta
{"title":"Simulation of Nonlinear Proportional Integral Derivative Controller for a Nonlinear Model of a HexSoon EDU 450 Quadrotor Aerial Robot","authors":"Suraj Suresh Kumar, Thirunavukkarasu Indiran, George Vadakkekara Itty, Chirag Gupta","doi":"10.1109/ICICICT54557.2022.9917674","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917674","url":null,"abstract":"This paper is written in conjunction with the research for developing the control schemes for a model of quadrotor unmanned aerial vehicle based on actual hardware. The primary aim is to reflect the outcomes of designing nonlinear control algorithms for in-situ hardware equipment where the physical parameters have been determined through direct measurement and estimation. A comprehensive study of the trajectory tracking and control capabilities of Non-linear Proportional Integral Derivative control on a derived non-linear model of the quadrotor system is presented. The system mathematical model is obtained with the help of the nonlinear dynamics of the quadcopter which is derived with the help of Newton-Euler formulations. Thus, the model obtained includes the aerodynamic effects and the rotor dynamics of the quadrotor. Simulations were used for evaluating and comparing the performances of the two control techniques developed between their dynamic performances and stability.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115916772","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}
{"title":"Comparison of MPPT Algorithms Under Uniformly Varying Atmospheric Conditions","authors":"Chirag Kaushik, Rachana Garg, Prof. Priya Mahajan","doi":"10.1109/ICICICT54557.2022.9917652","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917652","url":null,"abstract":"Power output from a photovoltaic (PV) array changes based on the change in ambient temperature and solar irradiation. Conventional Maximum Power Point (MPP) techniques were adopted to extract maximum power from PV array which were easy to implement but multiple drawbacks were observed related to oscillations around MPP and slower response under varying atmospheric conditions. To overcome such drawbacks of conventional algorithms, PV system requires some intelligent techniques to track the maximum power point which may help to design more efficient PV system. Authors in the present study have highlighted the comparison of multiple conventional and intelligent control techniques such as Perturb and Observe(P&O), Incremental Conductance (INC), Type 1 Fuzzy logic controller (T1-FLC) and Artificial Neural Network (ANN) based techniques. Uniform variation of solar irradiation and ambient temperature has been considered to compare the oscillations in output power waveform, power loss and fill factor of PV array. Superiority of ANN based technique has been established for all the considered factors. The work has been carried out using MATLAB/SIMULINK environment.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131938678","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}
Shanmukha Sai Rohit Mamidi, Chandra Akhil Munaganuri, Thanuja Gollapalli, Andra Tejo Venkata Sai Aditya, R. B
{"title":"Implementation of Machine learning Algorithms to Identify Freshness of Fruits","authors":"Shanmukha Sai Rohit Mamidi, Chandra Akhil Munaganuri, Thanuja Gollapalli, Andra Tejo Venkata Sai Aditya, R. B","doi":"10.1109/ICICICT54557.2022.9917989","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917989","url":null,"abstract":"The main goal of the study is to determine which algorithm, using classic machine learning and deep learning models, accurately predicts photos when given by the user. In the first part of the study, we will see how machine learning applications and how they are used in modern life. The second half of the study will explain the various parameters that have been projected by our study and how well the designs are performing with the given set of data. Finally, deep learning techniques showed better accuracy with lower false positive rates in comparison to machine learning models. Within the food business, computerised classification of fruit freshness plays a significant role. Fruit degradation must be discovered at every stage of the process, from manufacture to consumption. Traditional procedures for identifying fruit deterioration are modest, difficult, subjective, and time consuming, necessitating the introduction of precise automatic technologies that may be used for industrial reasons. This study looks at a dataset of three distinct fruits to distinguish between fresh and rotting fruits. Conventional methods like machines and various types of deep learning are used in a typical vision-based system. The utmost realisation rates are usually achieved particularly when we use convolutional neural networks-cantered elements and deep learning models after testing the model for numerous tentative layouts, including both binary and multi-class classification tasks.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132118076","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}
Akash Ambashankar, G. Chandrasekar, Charan A R, S. S
{"title":"Exploration of Performance of Dynamic Branch Predictors used in Mitigating Cost of Branching","authors":"Akash Ambashankar, G. Chandrasekar, Charan A R, S. S","doi":"10.1109/ICICICT54557.2022.9917915","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917915","url":null,"abstract":"Today, Branch Predictors have become a sophisticated component in all modern processors. While contemporary predictors have good accuracy, the cost of a misprediction is quite high. Hence, active research is being conducted towards improving the performance of branch predictors, while reducing the resources consumed. Modern computer architectures increasingly rely on speculation to boost instruction-level parallelism (ILP). As the pipelines deepen and instructions issued per cycle increase, the accurate branch prediction mechanisms become more and more important in increasing the processor performance. This study explores some branch predictors and compares them on the basis of their performance on certain benchmarks applications.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131553160","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}
{"title":"Smart Communication System for Agriculture","authors":"Pranit Kolhe, Aniket Baseshankar, Mansi Murekar, Shubham Sadhankar, Kamlesh Kalbande, A. Deshmukh","doi":"10.1109/ICICICT54557.2022.9917715","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917715","url":null,"abstract":"Tomato Plant disease affects the yield of the tomato. The farmers must spot agricultural conditions. The standard knowledge augmentation strategies, like revolve, turn over, and move having severely restricted, cannot win satisfactory results to boost the identification of tomato leaf diseases. The new method shows tomato leaf disease on a mobile application operated by a farmer at any distance. A robot will roam around the farm, scan the plant, and display output. To extract the disease from the leaf surface, here we include the ten most common diseases Bacterial, Early blight, healthy spot, and on.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127563191","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}
C. S. Manigandaa, V. Anush Kumar, Mohammed Nabeel, Aakash K Sabai, R. Selvalingeshwaran, V. D. Ambeth Kumar, R. Priya
{"title":"Toilet Odour Detection Using Fuzzy Logic Technique","authors":"C. S. Manigandaa, V. Anush Kumar, Mohammed Nabeel, Aakash K Sabai, R. Selvalingeshwaran, V. D. Ambeth Kumar, R. Priya","doi":"10.1109/ICICICT54557.2022.9917797","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917797","url":null,"abstract":"The cleanliness of the toilet is very important for human beings. Germs and bacteria start spreading on the human body from here. That is why toilets need to be sanitized and cleaned every day. You have noticed a foul smell in a school’s/college’s/public restroom. It is always a challenge to keep toilets clean because even with frequent, diligent cleaning, odours can persist. It takes special, precise methods and products to prevent school/college toilets from becoming problems. To overcome this, an Arduino-based device to detect bad odors. Device consists of an odour-detecting sensor (humidity sensor, odour sensor, electronic nose) that detects bad odours and informs authorities through SMS (using interface GSM module) and phone call (using PSR module). The device can be mounted on the wall of a toilet. By using this device, students can stay healthy. Additionally, it may reduce some unpleasant diseases. Also, the management is able to reduce the manpoitr and call workers when needed","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129377199","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}
M. M., Lekshmi A. Kurup, S. Gopinath, Abhilal C. P.
{"title":"An Efficient and Smart Animal Repulsion Technology using Laser Sensors and Acoustic Signals","authors":"M. M., Lekshmi A. Kurup, S. Gopinath, Abhilal C. P.","doi":"10.1109/ICICICT54557.2022.9917646","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917646","url":null,"abstract":"Economic growth of a region mainly depends on the employment and wellness of the inhabitants in that area. Mostly in regional or rural areas in India, humans depend mostly on agriculture and livestock farming as it requires large areas of land. Nowadays humans in these areas are facing many issues among which the protection of their lives, ruminants’ lives, and crops from wild animals are critical. The destruction of cultivates and livestock lead to financial and social concerns among farmers. Therefore, to provide an efficient and cost- effective solution to these forager attacks near forest range areas an efficient and smart system is developed. This device forms an integrated complex to scare away animals by sensing their presence through motion detection utilizing a Laser which activates the cameras. Animal identification is carried out by image processing using artificial intelligence on the basis of the acquired features from the image. Further, based on animal identification, pre-recorded acoustic signals are generated to repel them safely. An alert message is automatically sent to the respective government authorities for future investigation. This system is safe in all aspects as it does not involve any harmful radiation and does not affect the lives of animals or humans.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131216258","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}
{"title":"MEMS Double Sided Touch Mode Capacitive Pressure Sensor using Silicon Carbide –Aluminium Nitride: Fast analysis","authors":"Sreekanth P K, S. Jindal","doi":"10.1109/ICICICT54557.2022.9917749","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917749","url":null,"abstract":"Today, pressure sensors occupy the largest market segment in microsystem devices. This is because of their wide range of applications in both commercial and industrial applications. The two major players in MEMS pressure sensors are capacitive and piezoresistive types. Capacitive pressure sensors operating in touch mode have a higher linearity and operating range and are therefore more suitable. Sensor performance can be further enhanced by etching two back to back traditional touch mode capacitive sensors in one substrate. This paper aims to produce a complete mathematical analysis of the double-sided structure of capacitive pressure sensors using Silicon Carbide-Aluminum Nitride as the primary sensing element. The mathematical analysis bypasses the need for using cumbersome simulation software and gives a fast-analytical technique that can be applied to similar simple designs for modelling. The final MATLAB simulations show a significant improvement in both the sensitivity and capacitance generated on using SiC-AlN over Si-SiO2 for the given design.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133636411","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}
Jency Margaret J, Vishnu Dharssini A C, C. S., Arockia Edwin Xavier
{"title":"Design and development of IoT based Gateway for Advanced Metering Infrastructure in an Educational Institution","authors":"Jency Margaret J, Vishnu Dharssini A C, C. S., Arockia Edwin Xavier","doi":"10.1109/ICICICT54557.2022.9917582","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917582","url":null,"abstract":"The world currently focuses on research and development in various domains and exploring new technologies. An improvement is needed in any technology that is framed, to study or analyze the technology a basic pre-requisite is to study the basics of the topic. So, there is a need for the basic data related to the topic in order to enhance the work and make a proper development, by analyzing the data, various improvements can be done. For this enhancement or improvement of work, the data is necessary at various points where the data is to be sent and necessary changes are found and the changes are rectified and completed. The paper proposes a new way of data transfer, particularly focusing on smart meter data. Smart meter data is a large dataset as it records data for every minute of load consumption in a building. Usually, large data which is sent are disrupted and corrupted and loss of data occurs. This paper designs an Internet of Things (IoT) gateway to send data without any disruption of data. The data is sent as a large file and it is also designed to transfer as a low bandwidth, high latency data sending protocol and this large data is also sent with no disruptions. The paper transfers Thiagarajar college smart meter data from a local server to a designed IoT gateway and data is used for various purposes like analyzing energy consumption hourly, daily, and weekly load usage.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132626386","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}
{"title":"An Improvised Voter Architecture For TMR With Reduced Area Overhead","authors":"D. M, A. P","doi":"10.1109/ICICICT54557.2022.9917799","DOIUrl":"https://doi.org/10.1109/ICICICT54557.2022.9917799","url":null,"abstract":"The introduction of nanoscale technology causes device shrinkage, making them more vulnerable to radiation-induced effects. These radiation-induced effects are crucial in mission-critical applications such as spacecraft and nuclear power plants. In FPGAs, Triple Modular Redundancy (TMR), a 3-tuple form of N-modular redundancy, is utilized to counteract these effects. TMR duplicates the original simplex system, and the majority voter ensures that two out of three systems remain operational to provide the correct output, presuming that the voter does not fail. Several voters in the literature overcome the drawbacks of the classical voter, and approximates of the conventional system can replace two of the three systems to reduce the 200 percent area overhead. In this paper, we propose a mux-based voter circuit whose input is the approximate TMR system’s output, resulting in improved fault-masking with less area and power consumption. The circuits are simulated using the Cadence 45nm CMOS process, and the results are analysed.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133117034","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}