1) The document proposes a multi-agent system called NMAOS to develop an agile wireless sensor network for structural health monitoring.
2) NMAOS is a self-learning system that can predict peak loads on a structure and trigger messages to activate the sensor network during unexpected incidents.
3) The multi-agent architecture includes triggering, comparative, sensor, collaborating, damage diagnostic, and prognostic agents to monitor the structure and assess damage.
This document provides an introduction and overview of simulation. It discusses what a simulation is and the key components of modeling a system, including entities, attributes, activities, states, and events. It also describes discrete event simulation and the main strategies of activity-oriented, event-oriented, and process-oriented simulation. Finally, it briefly introduces some common network simulators used for wireless networks, including NS-2, GloMoSim, and QualNet.
Model Based Hierarchical and Distributed Control of Discrete Event Robotic Sy...Waqas Tariq
This paper deals with the modeling and control of discrete event robotic systems using extended Petri nets, and proposes a methodology of model based design and implementation of hierarchical and distributed control. Based on the hierarchical approach, the Petri net is translated into the detailed Petri net by stepwise refinements from the highest conceptual level to the lowest machine control level. The coordinator is introduced to coordinate the distributed controllers so that the decomposed transitions fire at the same time. System coordination algorithm through communication between the coordinator and the controllers, is implemented using multithread programming. By the proposed method, modeling, simulation and control of large and complex robotic systems can be performed consistently using Petri nets.
SYNCHROPHASOR DATA BASED INTELLIGENT ALGORITHM FOR REAL TIME EVENT DETECTION ...IAEME Publication
The wide area measurement system (WAMS) has been installed at several locations in power system. Phasor measurements units (PMU) are considered as the building blocks of WAMS are being installed at various locations of power system. PMU is sending very large volume of data to Power system control center with the sampling rate of 50 or 25 samples per second. However there are always several events per day occurring in the system but the rate at which data is received and the volume of data to be analyzed is a big challenge for power system engineer. There is a need for developing an intelligent system to handle large volume of Synchrophasor data and identify Power system event in the present context. This paper presents an intelligent algorithm to automatically detect such events using wide area measurements in real time. In this work, Synchrophasor measurements received from PMU are fed to KNN based pattern recognition algorithm which is used to identify the Power system events. The severity and the type of the event can be judged through the change in voltage magnitude and phase angle at various buses. The developed algorithm is tested for IEEE 14 bus system and results are verified.
Unknown input observer for Takagi-Sugeno implicit models with unmeasurable pr...IJECEIAES
Recent years have seen a great deal of interest in implicit nonlinear systems, which are used in many different engineering applications.This study is dedicated to presenting a new method of fuzzy unknown inputs observer design to estimate simultaneously both non-measurable states and unknown inputs of continuous-time nonlinear implicit systems defined by Takagi-Sugeno (T-S) models with unmeasurable premise variables. The suggested observer is based on the singular value decomposition approach and rewritten the continuous-time T-S implicit models into an augmented fuzzy system, which gathers the unknown inputs and the state vector. The exponential convergence condition of the observer is established by using the Lyapunov theory and linear matrix inequalities are solved to determine the gains of the observer. Finally,the effectiveness of the suggested method is then assessed using a numerical application. It demonstrates that the estimated variables and the unknown input converge to the real variables accurately and quickly (less than 0.5 s).
This seminar report discusses Tripwire, an open source intrusion detection system that monitors changes to key files on a system. It works by creating a baseline of checksums for important files and then running regular scans to compare current checksums to the original baseline, reporting any differences. This allows administrators to detect if a system has been compromised by unauthorized changes to files. The report provides details on how Tripwire works, how to install and use it, and its advantages for system monitoring and security.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
1) The document proposes a multi-agent system called NMAOS to develop an agile wireless sensor network for structural health monitoring.
2) NMAOS is a self-learning system that can predict peak loads on a structure and trigger messages to activate the sensor network during unexpected incidents.
3) The multi-agent architecture includes triggering, comparative, sensor, collaborating, damage diagnostic, and prognostic agents to monitor the structure and assess damage.
This document provides an introduction and overview of simulation. It discusses what a simulation is and the key components of modeling a system, including entities, attributes, activities, states, and events. It also describes discrete event simulation and the main strategies of activity-oriented, event-oriented, and process-oriented simulation. Finally, it briefly introduces some common network simulators used for wireless networks, including NS-2, GloMoSim, and QualNet.
Model Based Hierarchical and Distributed Control of Discrete Event Robotic Sy...Waqas Tariq
This paper deals with the modeling and control of discrete event robotic systems using extended Petri nets, and proposes a methodology of model based design and implementation of hierarchical and distributed control. Based on the hierarchical approach, the Petri net is translated into the detailed Petri net by stepwise refinements from the highest conceptual level to the lowest machine control level. The coordinator is introduced to coordinate the distributed controllers so that the decomposed transitions fire at the same time. System coordination algorithm through communication between the coordinator and the controllers, is implemented using multithread programming. By the proposed method, modeling, simulation and control of large and complex robotic systems can be performed consistently using Petri nets.
SYNCHROPHASOR DATA BASED INTELLIGENT ALGORITHM FOR REAL TIME EVENT DETECTION ...IAEME Publication
The wide area measurement system (WAMS) has been installed at several locations in power system. Phasor measurements units (PMU) are considered as the building blocks of WAMS are being installed at various locations of power system. PMU is sending very large volume of data to Power system control center with the sampling rate of 50 or 25 samples per second. However there are always several events per day occurring in the system but the rate at which data is received and the volume of data to be analyzed is a big challenge for power system engineer. There is a need for developing an intelligent system to handle large volume of Synchrophasor data and identify Power system event in the present context. This paper presents an intelligent algorithm to automatically detect such events using wide area measurements in real time. In this work, Synchrophasor measurements received from PMU are fed to KNN based pattern recognition algorithm which is used to identify the Power system events. The severity and the type of the event can be judged through the change in voltage magnitude and phase angle at various buses. The developed algorithm is tested for IEEE 14 bus system and results are verified.
Unknown input observer for Takagi-Sugeno implicit models with unmeasurable pr...IJECEIAES
Recent years have seen a great deal of interest in implicit nonlinear systems, which are used in many different engineering applications.This study is dedicated to presenting a new method of fuzzy unknown inputs observer design to estimate simultaneously both non-measurable states and unknown inputs of continuous-time nonlinear implicit systems defined by Takagi-Sugeno (T-S) models with unmeasurable premise variables. The suggested observer is based on the singular value decomposition approach and rewritten the continuous-time T-S implicit models into an augmented fuzzy system, which gathers the unknown inputs and the state vector. The exponential convergence condition of the observer is established by using the Lyapunov theory and linear matrix inequalities are solved to determine the gains of the observer. Finally,the effectiveness of the suggested method is then assessed using a numerical application. It demonstrates that the estimated variables and the unknown input converge to the real variables accurately and quickly (less than 0.5 s).
This seminar report discusses Tripwire, an open source intrusion detection system that monitors changes to key files on a system. It works by creating a baseline of checksums for important files and then running regular scans to compare current checksums to the original baseline, reporting any differences. This allows administrators to detect if a system has been compromised by unauthorized changes to files. The report provides details on how Tripwire works, how to install and use it, and its advantages for system monitoring and security.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
This document summarizes research on integrating safety critical systems in information technology. It discusses how modern information systems are increasingly safety critical as their failure can result in financial loss or loss of life. The document reviews literature on safety critical systems, including analyzing reliability and safety of parallel-series models. It also discusses modeling approaches for designing safety critical systems before hardware or software implementation. The goal is to reduce costs from design errors found later. Overall, the document examines how information technology is used in safety critical systems and approaches for analyzing and designing such systems.
State and fault estimation based on fuzzy observer for a class of Takagi-Suge...IJEECSIAES
Singular nonlinear systems have received wide attention in recent years, and can be found in various applications of engineering practice. On the basis of the Takagi-Sugeno (T-S) formalism, which represents a powerful tool allowing the study and the treatment of nonlinear systems, many control and diagnostic problems have been treated in the literature. In this work, we aim to present a new approach making it possible to estimate simultaneously both non-measurable states and unknown faults in the actuators and sensors for a class of continuous-time Takagi-Sugeno singular model (CTSSM). Firstly, the considered class of CTSSM is represented in the case of premise variables which are non-measurable, and is subjected to actuator and sensor faults. Secondly, the suggested observer is synthesized based on the decomposition approach. Next, the observer’s gain matrices are determined using the Lyapunov theory and the constraints are defined as linear matrix inequalities (LMIs). Finally, a numerical simulation on an application example is given to demonstrate the usefulness and the good performance of the proposed dynamic system.
State and fault estimation based on fuzzy observer for a class of Takagi-Suge...nooriasukmaningtyas
Singular nonlinear systems have received wide attention in recent years, and can be found in various applications of engineering practice. On the basis of the Takagi-Sugeno (T-S) formalism, which represents a powerful tool allowing the study and the treatment of nonlinear systems, many control and diagnostic problems have been treated in the literature. In this work, we aim to present a new approach making it possible to estimate simultaneously both non-measurable states and unknown faults in the actuators and sensors for a class of continuous-time Takagi-Sugeno singular model (CTSSM). Firstly, the considered class of CTSSM is represented in the case of premise variables which are non-measurable, and is subjected to actuator and sensor faults. Secondly, the suggested observer is synthesized based on the decomposition approach. Next, the observer’s gain matrices are determined using the Lyapunov theory and the constraints are defined as linear matrix inequalities (LMIs). Finally, a numerical simulation on an application example is given to demonstrate the usefulness and the good performance of the proposed dynamic system.
Sensors and Actuators Integration in Embedded SystemsIDES Editor
This document discusses integration testing of sensors and actuators in embedded systems. It proposes a fault model for sensors and actuators based on an embedded system model. The faults are similar to control flow and data flow faults. The integration testing problem is viewed as identifying a faulty component from a system of two communicating finite state machines. An example diagnostic methodology is described to derive a test sequence to expose faults and identify the faulty component during integration testing. The manifestation of faults from an integration perspective is also discussed. In summary, the document focuses on modeling sensor and actuator faults and providing a methodology for integration testing to identify faults during the sensor/actuator integration process in embedded systems.
MODELING & SIMULATION OF VOLT/HZ SPEED CONTROL FOR INDUCTION MOTOR USING DSPA...IAEME Publication
The rapid adoption of automation techniques in industry has increased the requirement for better process control. This has resulted in many new applications for AC variable speed drives (VSDs) to control the speed and torque of driven machinery. Variable speed drives (VSDs) are also used to meet particular starting and stopping requirements. The objective of this thesis is development of Voltage Source Inverter (VSI) using the dSPACE DS1104 DSP controller board for speed control of a phase induction motor. The board enables the linking of the MATLAB/Simulink model to the real time hardware. We have the feasibility of injecting real time analog and digital data into the MATLAB/Simulink model, process it to suit our model requirements, do the simulation, study the response in MATLAB/Control Desk and at the same time get real time analog and digital output from the DSP controller board.
Structural Health Monitoring is an emerging field of science and technology. The process of implementing a damage detection and characterization strategy for engineering structures is referred to as Structural Health Monitoring SHM . The SHM process involves the observation of a system over time using periodically sampled dynamic response measurements from an array of sensors, the extraction of damage-sensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. The research paper describes the piezo-vibrational sensor and accelerometer sensors to monitor the prototype of bridge. Junaid Rasool "IOT Based Structural Health Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18743.pdf
Development of an intelligent steering system for reducing accidents due to d...IRJET Journal
The document describes the development of an intelligent steering system to reduce accidents caused by drowsy driving and fatigue. The system uses distributed pressure sensors and pulse rate sensors to detect early signs of drowsiness like loosening of hand grip and lowering pulse rate. When these signals are detected, the system will provide a warning to the driver through vibration of the driver's seat and an alarm to alert passengers. The goal is to reduce response time compared to previous systems and prevent accidents by waking the driver as early as possible. It discusses using a distributed sensor network integrated into the steering wheel to precisely measure grip force applied. The system would automatically activate once vehicle speed reaches a threshold to monitor driver vigilance levels and fatigue in real-time.
Automatic Attendance Management System Using Face RecognitionKathryn Patel
1) The document describes an automatic attendance management system using face recognition. It uses image processing and facial recognition techniques to take attendance digitally.
2) The system works by using a camera to take photos of students' faces and comparing them to a database of registered student photos using principal component analysis. It aims to make attendance taking less time-consuming and manipulable than traditional paper-based systems.
3) The system consists of a camera, microcontroller, and MATLAB software. The camera captures photos and sends them to MATLAB for facial recognition using eigenfaces. It then marks the attendance automatically.
BRAIN-COMPUTER INTERFACING TO DETECT STRESS DURING MOTOR IMAGERY TASKSMAHIM MALLICK
This document is a project report on brain-computer interfacing to detect stress during motor imagery tasks. It provides an introduction to brain-computer interfacing, including an overview of the technology and describing different types of BCIs. It also discusses brain mapping and brain imaging techniques relevant to BCI. The report will focus on using EEG signals to detect stress levels during motor imagery tasks and assessing BCI performance.
Integrating Fuzzy Mde- AT Framework For Urban Traffic SimulationWaqas Tariq
This document summarizes a research paper that proposes integrating fuzzy modeling concepts with Model Driven Engineering (MDE) and Activity Theory (AT) to develop a framework for simulating urban traffic systems. The framework uses AT concepts like activity, subject, object, tools etc. to model the traffic system. It then applies fuzzy set theory to quantify uncertainty in the modeling. MDE is used to successively refine models from analysis to design. The framework was applied to develop a platform independent model of an urban traffic control system using UML. Fuzzy relationships were defined between model elements to represent uncertainty in message passing between system entities. The framework allows modeling both behavioral and structural aspects of the traffic system using fuzzy concepts integrated with MDE and
This document describes the development of an intelligent steering system to reduce accidents caused by drowsy driving and fatigue. The system uses distributed pressure sensors around the steering wheel and pulse rate sensors to detect early signs of drowsiness like loosening of hand grip and lowering pulse rate. When these signals are detected, the system will activate vibrations in the driver's seat and an alarm to alert the driver before they fall asleep to help prevent accidents. The system is intended to have a faster response time than previous vision-based drowsiness detection systems by monitoring physical signals from the driver's body.
Design to accommodate “intelligent adaptive experiments” with future-proof hardware for deep learning-enabled imaging and neuroscience.
In other words, how to design future-proof measurement systems that are both easy to setup and are scalable for more advanced measurement paradigms of the future. And how you would like to think of structuring your data acquisition to be used efficiently with deep learning in neuroscience.
Alternative download link:
https://www.dropbox.com/s/j5r8vifvh6e7bfp/animal_instrumentation.pdf?dl=0
A resonable approach for manufacturing system based on supervisory control 2IAEME Publication
This document summarizes a research paper that proposes a novel approach for manufacturing system control using supervisory control and discrete event systems. It describes a testbed that was developed using this approach with three main hardware components: a personal computer, interface, and programmable logic controller. The paper discusses developing a model for the large, complex testbed manufacturing system by breaking it down into smaller, fundamental and interaction sub-models. It explains how the testbed model was implemented using clocked Moore synchronous state machines in programmable logic controller ladder logic programs.
This document provides an overview of expert systems and applications of artificial intelligence. It discusses how expert systems use knowledge and reasoning to solve complex problems, and how they are widely used today in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using expert systems to optimize power system stabilizers, for network intrusion protection, improving medical diagnosis and treatment, and enhancing computer games.
The document provides an overview of expert systems and applications of artificial intelligence (AI). It discusses how expert systems use knowledge and reasoning to solve complex problems, and how AI is being applied in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using AI to design power system stabilizers, for network intrusion protection, improving medical care, medical image classification, and accounting/games.
The document describes the Blue Eyes system, which monitors operators' physiological parameters and visual attention to detect issues. The system includes a mobile data acquisition unit (DAU) worn by the operator and a central system. The DAU collects data from sensors via Bluetooth and sends it to the central system for analysis. The central system analyzes the data, records conclusions, and triggers alarms if abnormal readings are detected. The system is designed to help supervise operators and assure proper performance in industrial environments.
June 2020: Top Read Articles in Control Theory and Computer Modellingijctcm
This summary provides the key details from the document in 3 sentences:
This document discusses two articles from the International Journal of Control Theory and Computer Modelling. The first article describes Zigbee, a low power wireless technology standard, its specifications, architecture and applications. The second article presents an artificial neural network approach using multilayer perceptrons to forecast weather parameters like temperature based on past data.
The document presents an ontology of a general operating system that could be used as a guideline for security software to create snapshots of operating systems for intrusion detection. It describes the main classes that make up an operating system like SystemObject, Resource, ObjectType, and AdditionalObject. Resources like the CPU, memory, and hardware are described. Additional security objects like ACLs, DACLs, and users are also defined. System objects like files, processes, and threads are outlined. Object types that describe the possible states of system objects are included to make the ontology clear. Individual instances are created to make the ontology practical.
The document discusses evaluating the impact of soft errors on embedded systems through fault injection. It provides an overview of soft errors as a prominent problem in embedded systems and integrated circuits due to technology scaling. The report describes assembling a generic motor control system and experimenting with fault injection to better understand how these soft errors are covered. It aims to inject faults at the module level of an embedded system to simulate the effects of soft errors and observe the device behavior to map vulnerable nodes that need protection.
EVALUATING THE PREDICTED RELIABILITY OF MECHATRONIC SYSTEMS: STATE OF THE ARTmeijjournal
Reliability analysis of mechatronic systems is one of the most young field and dynamic branches of research. It is addressed whenever we want reliable, available, and safe systems. The studies of reliability must be conducted earlier during the design phase, in order to reduce costs and the number of prototypes required in the validation of the system. The process of reliability is then deployed throughout the full cycle of development; this process is broken down into three major phases: the predictive reliability, the experimental reliability and operational reliability. The main objective of this article is a kind of portrayal of the various studies enabling a noteworthy mastery of the predictive reliability. The weak points are highlighted, in addition presenting an overview of all approaches existing in quantitative and qualitative modeling and evaluating the reliability prediction is so important for the futures reliability studies, and for academic researches to innovate other new methods and tools. the Mechatronic system is a hybrid system; it is dynamic, reconfigurable, and interactive. The modeling carried out of reliability prediction must take into account these criteria. Several methodologies have been developed in this track of research. In this article, we will try to handle them from a critical angle.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
This document summarizes research on integrating safety critical systems in information technology. It discusses how modern information systems are increasingly safety critical as their failure can result in financial loss or loss of life. The document reviews literature on safety critical systems, including analyzing reliability and safety of parallel-series models. It also discusses modeling approaches for designing safety critical systems before hardware or software implementation. The goal is to reduce costs from design errors found later. Overall, the document examines how information technology is used in safety critical systems and approaches for analyzing and designing such systems.
State and fault estimation based on fuzzy observer for a class of Takagi-Suge...IJEECSIAES
Singular nonlinear systems have received wide attention in recent years, and can be found in various applications of engineering practice. On the basis of the Takagi-Sugeno (T-S) formalism, which represents a powerful tool allowing the study and the treatment of nonlinear systems, many control and diagnostic problems have been treated in the literature. In this work, we aim to present a new approach making it possible to estimate simultaneously both non-measurable states and unknown faults in the actuators and sensors for a class of continuous-time Takagi-Sugeno singular model (CTSSM). Firstly, the considered class of CTSSM is represented in the case of premise variables which are non-measurable, and is subjected to actuator and sensor faults. Secondly, the suggested observer is synthesized based on the decomposition approach. Next, the observer’s gain matrices are determined using the Lyapunov theory and the constraints are defined as linear matrix inequalities (LMIs). Finally, a numerical simulation on an application example is given to demonstrate the usefulness and the good performance of the proposed dynamic system.
State and fault estimation based on fuzzy observer for a class of Takagi-Suge...nooriasukmaningtyas
Singular nonlinear systems have received wide attention in recent years, and can be found in various applications of engineering practice. On the basis of the Takagi-Sugeno (T-S) formalism, which represents a powerful tool allowing the study and the treatment of nonlinear systems, many control and diagnostic problems have been treated in the literature. In this work, we aim to present a new approach making it possible to estimate simultaneously both non-measurable states and unknown faults in the actuators and sensors for a class of continuous-time Takagi-Sugeno singular model (CTSSM). Firstly, the considered class of CTSSM is represented in the case of premise variables which are non-measurable, and is subjected to actuator and sensor faults. Secondly, the suggested observer is synthesized based on the decomposition approach. Next, the observer’s gain matrices are determined using the Lyapunov theory and the constraints are defined as linear matrix inequalities (LMIs). Finally, a numerical simulation on an application example is given to demonstrate the usefulness and the good performance of the proposed dynamic system.
Sensors and Actuators Integration in Embedded SystemsIDES Editor
This document discusses integration testing of sensors and actuators in embedded systems. It proposes a fault model for sensors and actuators based on an embedded system model. The faults are similar to control flow and data flow faults. The integration testing problem is viewed as identifying a faulty component from a system of two communicating finite state machines. An example diagnostic methodology is described to derive a test sequence to expose faults and identify the faulty component during integration testing. The manifestation of faults from an integration perspective is also discussed. In summary, the document focuses on modeling sensor and actuator faults and providing a methodology for integration testing to identify faults during the sensor/actuator integration process in embedded systems.
MODELING & SIMULATION OF VOLT/HZ SPEED CONTROL FOR INDUCTION MOTOR USING DSPA...IAEME Publication
The rapid adoption of automation techniques in industry has increased the requirement for better process control. This has resulted in many new applications for AC variable speed drives (VSDs) to control the speed and torque of driven machinery. Variable speed drives (VSDs) are also used to meet particular starting and stopping requirements. The objective of this thesis is development of Voltage Source Inverter (VSI) using the dSPACE DS1104 DSP controller board for speed control of a phase induction motor. The board enables the linking of the MATLAB/Simulink model to the real time hardware. We have the feasibility of injecting real time analog and digital data into the MATLAB/Simulink model, process it to suit our model requirements, do the simulation, study the response in MATLAB/Control Desk and at the same time get real time analog and digital output from the DSP controller board.
Structural Health Monitoring is an emerging field of science and technology. The process of implementing a damage detection and characterization strategy for engineering structures is referred to as Structural Health Monitoring SHM . The SHM process involves the observation of a system over time using periodically sampled dynamic response measurements from an array of sensors, the extraction of damage-sensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. The research paper describes the piezo-vibrational sensor and accelerometer sensors to monitor the prototype of bridge. Junaid Rasool "IOT Based Structural Health Monitoring" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-6 , October 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18743.pdf
Development of an intelligent steering system for reducing accidents due to d...IRJET Journal
The document describes the development of an intelligent steering system to reduce accidents caused by drowsy driving and fatigue. The system uses distributed pressure sensors and pulse rate sensors to detect early signs of drowsiness like loosening of hand grip and lowering pulse rate. When these signals are detected, the system will provide a warning to the driver through vibration of the driver's seat and an alarm to alert passengers. The goal is to reduce response time compared to previous systems and prevent accidents by waking the driver as early as possible. It discusses using a distributed sensor network integrated into the steering wheel to precisely measure grip force applied. The system would automatically activate once vehicle speed reaches a threshold to monitor driver vigilance levels and fatigue in real-time.
Automatic Attendance Management System Using Face RecognitionKathryn Patel
1) The document describes an automatic attendance management system using face recognition. It uses image processing and facial recognition techniques to take attendance digitally.
2) The system works by using a camera to take photos of students' faces and comparing them to a database of registered student photos using principal component analysis. It aims to make attendance taking less time-consuming and manipulable than traditional paper-based systems.
3) The system consists of a camera, microcontroller, and MATLAB software. The camera captures photos and sends them to MATLAB for facial recognition using eigenfaces. It then marks the attendance automatically.
BRAIN-COMPUTER INTERFACING TO DETECT STRESS DURING MOTOR IMAGERY TASKSMAHIM MALLICK
This document is a project report on brain-computer interfacing to detect stress during motor imagery tasks. It provides an introduction to brain-computer interfacing, including an overview of the technology and describing different types of BCIs. It also discusses brain mapping and brain imaging techniques relevant to BCI. The report will focus on using EEG signals to detect stress levels during motor imagery tasks and assessing BCI performance.
Integrating Fuzzy Mde- AT Framework For Urban Traffic SimulationWaqas Tariq
This document summarizes a research paper that proposes integrating fuzzy modeling concepts with Model Driven Engineering (MDE) and Activity Theory (AT) to develop a framework for simulating urban traffic systems. The framework uses AT concepts like activity, subject, object, tools etc. to model the traffic system. It then applies fuzzy set theory to quantify uncertainty in the modeling. MDE is used to successively refine models from analysis to design. The framework was applied to develop a platform independent model of an urban traffic control system using UML. Fuzzy relationships were defined between model elements to represent uncertainty in message passing between system entities. The framework allows modeling both behavioral and structural aspects of the traffic system using fuzzy concepts integrated with MDE and
This document describes the development of an intelligent steering system to reduce accidents caused by drowsy driving and fatigue. The system uses distributed pressure sensors around the steering wheel and pulse rate sensors to detect early signs of drowsiness like loosening of hand grip and lowering pulse rate. When these signals are detected, the system will activate vibrations in the driver's seat and an alarm to alert the driver before they fall asleep to help prevent accidents. The system is intended to have a faster response time than previous vision-based drowsiness detection systems by monitoring physical signals from the driver's body.
Design to accommodate “intelligent adaptive experiments” with future-proof hardware for deep learning-enabled imaging and neuroscience.
In other words, how to design future-proof measurement systems that are both easy to setup and are scalable for more advanced measurement paradigms of the future. And how you would like to think of structuring your data acquisition to be used efficiently with deep learning in neuroscience.
Alternative download link:
https://www.dropbox.com/s/j5r8vifvh6e7bfp/animal_instrumentation.pdf?dl=0
A resonable approach for manufacturing system based on supervisory control 2IAEME Publication
This document summarizes a research paper that proposes a novel approach for manufacturing system control using supervisory control and discrete event systems. It describes a testbed that was developed using this approach with three main hardware components: a personal computer, interface, and programmable logic controller. The paper discusses developing a model for the large, complex testbed manufacturing system by breaking it down into smaller, fundamental and interaction sub-models. It explains how the testbed model was implemented using clocked Moore synchronous state machines in programmable logic controller ladder logic programs.
This document provides an overview of expert systems and applications of artificial intelligence. It discusses how expert systems use knowledge and reasoning to solve complex problems, and how they are widely used today in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using expert systems to optimize power system stabilizers, for network intrusion protection, improving medical diagnosis and treatment, and enhancing computer games.
The document provides an overview of expert systems and applications of artificial intelligence (AI). It discusses how expert systems use knowledge and reasoning to solve complex problems, and how AI is being applied in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using AI to design power system stabilizers, for network intrusion protection, improving medical care, medical image classification, and accounting/games.
The document describes the Blue Eyes system, which monitors operators' physiological parameters and visual attention to detect issues. The system includes a mobile data acquisition unit (DAU) worn by the operator and a central system. The DAU collects data from sensors via Bluetooth and sends it to the central system for analysis. The central system analyzes the data, records conclusions, and triggers alarms if abnormal readings are detected. The system is designed to help supervise operators and assure proper performance in industrial environments.
June 2020: Top Read Articles in Control Theory and Computer Modellingijctcm
This summary provides the key details from the document in 3 sentences:
This document discusses two articles from the International Journal of Control Theory and Computer Modelling. The first article describes Zigbee, a low power wireless technology standard, its specifications, architecture and applications. The second article presents an artificial neural network approach using multilayer perceptrons to forecast weather parameters like temperature based on past data.
The document presents an ontology of a general operating system that could be used as a guideline for security software to create snapshots of operating systems for intrusion detection. It describes the main classes that make up an operating system like SystemObject, Resource, ObjectType, and AdditionalObject. Resources like the CPU, memory, and hardware are described. Additional security objects like ACLs, DACLs, and users are also defined. System objects like files, processes, and threads are outlined. Object types that describe the possible states of system objects are included to make the ontology clear. Individual instances are created to make the ontology practical.
The document discusses evaluating the impact of soft errors on embedded systems through fault injection. It provides an overview of soft errors as a prominent problem in embedded systems and integrated circuits due to technology scaling. The report describes assembling a generic motor control system and experimenting with fault injection to better understand how these soft errors are covered. It aims to inject faults at the module level of an embedded system to simulate the effects of soft errors and observe the device behavior to map vulnerable nodes that need protection.
EVALUATING THE PREDICTED RELIABILITY OF MECHATRONIC SYSTEMS: STATE OF THE ARTmeijjournal
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1. Dr. AMBEDKAR INSTITUTE OF TECHNOLOGY
(An Autonomous Institute, Affiliated to Visvesvaraya Technological University, Belagavi, Accredited by NAAC, with ‘A’ Grade)
PRESENTATION TOPIC :
“INSTANTANEOUS DESCRIPTION”
SUBMITTED BY:
PRATEEKSHA TRIPATHY
1DA21CS103
SUBMITTED TO :
MEGHA L.
Assistant Professor
Dr . AIT
2. DEFINITION OF INSTANTANEOUS DESCRIPTION
Instantaneous Description (ID) is a critical concept in theoretical computer science,
offering a snapshot of the current state of an automaton or compiler during its
operation. This allows us to dissect the behavior of these systems at different points in
time, aiding our understanding of their inner workings.
An Instantaneous Description is a succinct representation capturing the complete state
of an automaton or compiler at a specific moment. It provides a momentary snapshot,
enabling us to track the progression of these systems through various states and inputs.
Understanding ID is fundamental for comprehending the behavior of automata and
compilers. It serves as a powerful tool in the analysis, design, and optimization of these
systems.
3. COMPONENTS OF INSTANTANEOUS DESCRIPTION
These 4 components collectively form the snapshot that is the Instantaneous
Description.
• State:
In an automaton or compiler, the state represents the current condition or phase of
the system.
• Input:
This component encapsulates the portion of the input being processed at any given
moment.
4. • Stack Contents (if applicable):
For pushdown automata, the stack holds additional information and becomes an
integral part of the ID.
• Cursor Position (if applicable):
Indicates the position within the input being processed, providing a dynamic aspect
to the ID.