To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IRJET- IoT based Dual Axis Solar Tracker SystemIRJET Journal
This document describes an IoT-based dual axis solar tracker system that uses light dependent resistors (LDRs), servo motors, a Raspberry Pi, and other components to automatically position a solar panel towards the sun to maximize energy collection. A flowchart shows the process of using sensor values to calculate the solar position and move the solar panel accordingly. The proposed system aims to increase the effectiveness of the output power collected from sunlight, especially for rural applications where it could provide a portable renewable energy source.
Synthesizable integrated circuit and system design for solar chargersEcwaytech
This document describes an automatic design tool developed with visual basic software to shorten the design time for solar energy harvesting integrated circuits and systems. The tool also develops a smart meter system to measure and monitor a solar energy harvesting system's information online so users can access the system's data anytime from anywhere. Experimental results matched analytical results well.
The document presents a second presentation on a wireless gesture controlled robot developed by students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block and circuit diagrams of the proposed system, applications, and a conclusion stating the system was successfully developed at low cost and power to control a robot through natural gestures.
Automatic Fault Detection System with IOT BasedYogeshIJTSRD
The fault location is an important part for any transmission line and distribution system. The location of fault is difficult task sometimes it takes lot of times needed for the exact location of the fault. The exact fault location can help the service man to overcome the fault free system in very less time. In this paper we are able to detect the fault range in easy way using the ESP module and the message is transferred on the mobile. This project is cost effective and reliable. Fast fault detection provide the protection of equipment before any significant damage. Er. Sanjeev Kumar | Mohd Mehraj Khan | Nadeem | Shailesh Kumar Yadav | Harsh Gupta "Automatic Fault Detection System with IOT Based" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43806.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/43806/automatic-fault-detection-system-with-iot-based/er-sanjeev-kumar
This document describes the design of an infrared radar training module that can scan 180 degrees and detect objects from 20-150cm away. An infrared distance sensor is used to detect objects through triangulation by emitting and receiving infrared light. The sensor is rotated by a servo motor controlled by an Arduino, which sends distance and angle data to Processing software to visualize it as a dynamic radar display. The goal is to create a low-cost training module to teach students about radar technology, which could also be applied to home security systems or obstacle detection for robots.
Activity 7 ppt mech proto spring mechanism of railway systemanujabarge3
This document summarizes a student project to design a spring mechanism for railway seating using rapid prototyping techniques. The mechanism involves a card that is attached to each seat that can be opened and closed, only providing a seat to passengers with the correct card, in order to reduce financial losses from people travelling without tickets. The project objectives are to design the mechanism using software like Cura and Fusion 360. The design process involved 3D modeling and CAD drawings of the mechanism components like the vertical bar and base. The model was then sliced for 3D printing using FDM rapid prototyping to produce the final prototype. Applications, advantages, limitations and bill of materials for the prototype are also summarized.
This document describes an embedded real-time clock based industrial device control system developed by Logic Mind Technologies. The system uses a PIC microcontroller interfaced with a DS1307 real-time clock chip to programmatically switch on heavy machinery and devices only during needed time periods, in order to reduce electrical energy wastage. A 3V battery is connected to the real-time clock to avoid disturbances from power failures. The system provides control switches to enter required timings and displays the alarm times and current time on a 2x16 LCD. It was developed as a solution for industrial sites where machinery operates and wastes power during time periods with low worker activity.
Vinay Kumar Suryadevara is seeking a full-time position in controls, diagnostics, battery design or software implementation and verification. He has a Master's degree in Electrical and Computer Engineering from IUPUI and relevant experience in research, software engineering, and networking. His background includes work on projects involving cruise control systems, electronic throttle control, NOx emission control, fall detection, 3D printing algorithms, and tennis game prediction.
IRJET- IoT based Dual Axis Solar Tracker SystemIRJET Journal
This document describes an IoT-based dual axis solar tracker system that uses light dependent resistors (LDRs), servo motors, a Raspberry Pi, and other components to automatically position a solar panel towards the sun to maximize energy collection. A flowchart shows the process of using sensor values to calculate the solar position and move the solar panel accordingly. The proposed system aims to increase the effectiveness of the output power collected from sunlight, especially for rural applications where it could provide a portable renewable energy source.
Synthesizable integrated circuit and system design for solar chargersEcwaytech
This document describes an automatic design tool developed with visual basic software to shorten the design time for solar energy harvesting integrated circuits and systems. The tool also develops a smart meter system to measure and monitor a solar energy harvesting system's information online so users can access the system's data anytime from anywhere. Experimental results matched analytical results well.
The document presents a second presentation on a wireless gesture controlled robot developed by students at Dr. Ambedkar Institute of Technology for Handicapped. The presentation covers an introduction to gesture controlled robots, different types of gesture recognition including glove-based and vision-based, the working principle using an accelerometer, block and circuit diagrams of the proposed system, applications, and a conclusion stating the system was successfully developed at low cost and power to control a robot through natural gestures.
Automatic Fault Detection System with IOT BasedYogeshIJTSRD
The fault location is an important part for any transmission line and distribution system. The location of fault is difficult task sometimes it takes lot of times needed for the exact location of the fault. The exact fault location can help the service man to overcome the fault free system in very less time. In this paper we are able to detect the fault range in easy way using the ESP module and the message is transferred on the mobile. This project is cost effective and reliable. Fast fault detection provide the protection of equipment before any significant damage. Er. Sanjeev Kumar | Mohd Mehraj Khan | Nadeem | Shailesh Kumar Yadav | Harsh Gupta "Automatic Fault Detection System with IOT Based" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-5 , August 2021, URL: https://www.ijtsrd.com/papers/ijtsrd43806.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/43806/automatic-fault-detection-system-with-iot-based/er-sanjeev-kumar
This document describes the design of an infrared radar training module that can scan 180 degrees and detect objects from 20-150cm away. An infrared distance sensor is used to detect objects through triangulation by emitting and receiving infrared light. The sensor is rotated by a servo motor controlled by an Arduino, which sends distance and angle data to Processing software to visualize it as a dynamic radar display. The goal is to create a low-cost training module to teach students about radar technology, which could also be applied to home security systems or obstacle detection for robots.
Activity 7 ppt mech proto spring mechanism of railway systemanujabarge3
This document summarizes a student project to design a spring mechanism for railway seating using rapid prototyping techniques. The mechanism involves a card that is attached to each seat that can be opened and closed, only providing a seat to passengers with the correct card, in order to reduce financial losses from people travelling without tickets. The project objectives are to design the mechanism using software like Cura and Fusion 360. The design process involved 3D modeling and CAD drawings of the mechanism components like the vertical bar and base. The model was then sliced for 3D printing using FDM rapid prototyping to produce the final prototype. Applications, advantages, limitations and bill of materials for the prototype are also summarized.
This document describes an embedded real-time clock based industrial device control system developed by Logic Mind Technologies. The system uses a PIC microcontroller interfaced with a DS1307 real-time clock chip to programmatically switch on heavy machinery and devices only during needed time periods, in order to reduce electrical energy wastage. A 3V battery is connected to the real-time clock to avoid disturbances from power failures. The system provides control switches to enter required timings and displays the alarm times and current time on a 2x16 LCD. It was developed as a solution for industrial sites where machinery operates and wastes power during time periods with low worker activity.
Vinay Kumar Suryadevara is seeking a full-time position in controls, diagnostics, battery design or software implementation and verification. He has a Master's degree in Electrical and Computer Engineering from IUPUI and relevant experience in research, software engineering, and networking. His background includes work on projects involving cruise control systems, electronic throttle control, NOx emission control, fall detection, 3D printing algorithms, and tennis game prediction.
This document provides information about academic projects available through IgeekS Technologies for BE, ME, MCA, BCA and PHD students. It lists 10 sample project abstracts on topics like hand gesture controlled robots using accelerometers, automated floor cleaning systems, elderly independent living in smart homes, animal health monitoring using Zigbee, smart home and building systems using IoT, smart city design using CAN protocol, cruise control using CAN, CAN limitations in electric vehicles, dual mode wireless sensor networks for health monitoring, and a home energy management system for demand response applications. It also provides contact details for IgeekS Technologies.
Energy efficient routing in wireless sensor network based on mobile sink guid...IJECEIAES
In wireless sensor networks (WSNs), the minimization of usage of energy in the sensor nodes is a key task. Three salient functions are performed by WSNs’ sensor nodes namely data sensing, transmitting and relaying. Routing technique is one of the methods to enhance the sensor nodes battery lifetime. Energy optimization is done by using one of the heuristic routing methods for data sensing and transmission. To enhance the energy optimization mainly concentrated on data relaying. In this work stochastic hill climbing is adapted. The proposed solution for data relaying utilizes geographical routing and mobile sink technique. The sink collects the data from cluster heads and movement of the sink is routed by stochastic hill climbing. Experimentation is done on the network simulator 2 Platform. The existing routing techniques like threshold sensitive energy efficient sensor network, energy-efficient low duty cycle, and adaptive clustering protocol are compared with the obtained results of chosen algorithm. The proposed work shows promising results with respect to lifetime, average energy of nodes and packet delivery ratio.
Analysis and Comparison of Energy Efficiency of Android based Indoor/Outdoor ...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
A novel energy efficient routing algorithm for wireless sensor networks using...ijwmn
There are numerous applications for wireless sensor networks which are inevitable now a day in our daily
life. Majority of such applications which use wireless sensor networks will be in areas where the direct
human intervention is impossible. So the limited energy available in such sensors is a threat for prolonging
the life of the entire network. The need of energy efficiency in wireless sensor networks is a hot research
topic in which lot of new strategies for improvement in energy efficiency has been sought after. As
communication process consumes more energy, an energy efficient routing strategy can probably reduce
the energy consumption to a great extend. This paper gives an overview of the different routing techniques
in which mobile sinks are used to facilitate the routing process which can effectively reduce the energy use.
A new routing strategy with mobile sinks and a static sink is proposed and is compared based on the
matrices life time and average energy of the nodes with the existing Shortest Hop path (SH) algorithm. The
simulation results shows the proposed algorithm is more energy efficient than the existing one.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
DEVELOPMENT OF TONGUE DRIVE SYSTEM (TDS) OPERATED PATIENT FRIENDLY WHEEL CHAIR IJARIDEA Journal
The document discusses the development of a tongue drive system (TDS) to operate a powered wheelchair. The system uses a small permanent magnet attached to the tongue and hall effect sensors mounted outside the mouth. When the magnet is moved toward a sensor, the microcontroller moves the wheelchair in the corresponding direction. The system was designed and implemented using CATIA modeling software. It has advantages over existing systems like smooth control and affordability, allowing disabled people greater independence.
An algorithm for fault node recovery of wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document proposes an optical flow based step length estimation algorithm for indoor pedestrian navigation using a smartphone. It uses the smartphone's camera and attitude sensors to estimate a user's motion. Specifically, it calculates optical flow from camera images to estimate pixel displacement. It also uses the smartphone's AHRS algorithm to determine the device's attitude. By combining the optical flow estimates with the attitude information, it can transform pixel displacements into estimates of the user's real-world movement, which are then used to continuously train and update a step length estimation model for indoor pedestrian navigation. The method aims to provide accurate step length estimation in a way that can be calibrated online without tedious pre-training.
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
IRJET-Multipath based Routing and Energy Efficient Multicasting for Wireless ...IRJET Journal
The document discusses the Real-Time, Fault Tolerant and Energy-Efficient (REFER) protocol for wireless sensor and actuator networks (WSANs). It proposes embedding Kautz graphs into the physical topology of a WSAN to enable real-time communication and connecting the graphs using a distributed hash table for scalability. The REFER protocol also includes an efficient fault-tolerant routing mechanism that allows nodes to quickly identify alternate paths upon failures based on node IDs rather than retransmissions. Simulation results show REFER outperforms existing WSAN approaches in terms of real-time performance, energy-efficiency, fault-tolerance and scalability.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges included increasing the sensor sampling rate and integrating data from multiple sensors. The described method provides indoor navigation when outdoor positioning systems like GPS are unavailable.
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the sensor data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges addressed include increasing the sensor sampling rate and integrating accelerometer and gyroscope data to limit position error accumulation. The described system provides indoor navigation when outdoor positioning systems like GPS are unavailable.
1) This document discusses several research papers related to continuous data acquisition algorithms for smart grids using cloud-based technologies and smart meters.
2) It summarizes papers on cloud-based smart metering systems that use standardized communication between smart meters and servers stored in the cloud to optimize energy consumption. Another paper proposes a data collection algorithm that uses energy maps and clustering to reduce energy consumption and increase network lifetime.
3) A third paper discusses utilities using satellites to remotely collect meter data in real-time for accuracy. A final paper presents an algorithm for smart building power consumption scheduling that uses smart meters and dynamic pricing to incentivize shifting usage to low-cost time periods.
IRJET- Surveillance of Object Motion Detection and Caution System using B...IRJET Journal
This document describes a proposed surveillance system using a block matching algorithm for motion detection. The system would use IP cameras to stream video that is monitored for unauthorized activity. Motion detection is performed by comparing frames using the block matching algorithm to detect changes in pixel intensity values, which would trigger an alarm. The block matching algorithm divides frames into blocks of pixels and validates the maximum and minimum intensity of each pixel. Comparing blocks between frames identifies motion if intensity values change beyond a threshold. If motion is detected in a designated sensitive area, the system saves the video and sends alerts by email and mobile notification to users.
Energy efficient reverse skyline query processing over wireless sensor networksFinalyear Projects
This document discusses energy efficient processing of reverse skyline queries in wireless sensor networks. It proposes using a full skyband approach to minimize communication costs among sensor nodes when evaluating range reverse skyline queries. It also discusses optimization mechanisms for improving the performance of multiple reverse skyline queries, including vertical and horizontal optimizations. Extensive experiments on real and synthetic data demonstrate the efficiency and effectiveness of the proposed approaches.
This document describes a MEMS accelerometer-based system for hand gesture recognition. The system uses a portable device containing a triaxial accelerometer, microcontroller, and wireless transmission module. Users can write digits and make gestures, and the accelerometer measures the motions. A trajectory recognition algorithm processes the acceleration signals through preprocessing, feature generation/selection, and classification. The algorithm aims to accurately recognize gestures with high recognition rates. An experiment tests the algorithm on handwritten digit recognition with promising results.
This document summarizes research on developing a portable device using a MEMS accelerometer for hand gesture recognition. The device consists of a triaxial accelerometer, microcontroller, and wireless transmission module. It measures acceleration signals from hand motions and transmits them to a computer for trajectory recognition using a recognition algorithm. The algorithm processes the acceleration data through steps like filtering, feature extraction, and classification to identify gestures and enable control of electronic devices through hand motions. The research aims to create an accurate, low-cost gesture recognition system using a single accelerometer without additional sensors.
A Study of Mobile User Movements Prediction Methods IJECEIAES
For a decade and more, the Number of smart phone users count increasing day by day. With the drastic improvements in Communication technologies, the prediction of future movements of mobile users needs also have important role. Various sectors can gain from this prediction. Communication management, City Development planning, and locationbased services are some of the fields that can be made more valuable with movement prediction. In this paper, we propose a study of several Location Prediction Techniques in the following areas.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
More Related Content
Similar to 2014 IEEE DOTNET MOBILE COMPUTING PROJECT Smartdc mobility prediction based adaptive duty cycling for everyday location monitoring
This document provides information about academic projects available through IgeekS Technologies for BE, ME, MCA, BCA and PHD students. It lists 10 sample project abstracts on topics like hand gesture controlled robots using accelerometers, automated floor cleaning systems, elderly independent living in smart homes, animal health monitoring using Zigbee, smart home and building systems using IoT, smart city design using CAN protocol, cruise control using CAN, CAN limitations in electric vehicles, dual mode wireless sensor networks for health monitoring, and a home energy management system for demand response applications. It also provides contact details for IgeekS Technologies.
Energy efficient routing in wireless sensor network based on mobile sink guid...IJECEIAES
In wireless sensor networks (WSNs), the minimization of usage of energy in the sensor nodes is a key task. Three salient functions are performed by WSNs’ sensor nodes namely data sensing, transmitting and relaying. Routing technique is one of the methods to enhance the sensor nodes battery lifetime. Energy optimization is done by using one of the heuristic routing methods for data sensing and transmission. To enhance the energy optimization mainly concentrated on data relaying. In this work stochastic hill climbing is adapted. The proposed solution for data relaying utilizes geographical routing and mobile sink technique. The sink collects the data from cluster heads and movement of the sink is routed by stochastic hill climbing. Experimentation is done on the network simulator 2 Platform. The existing routing techniques like threshold sensitive energy efficient sensor network, energy-efficient low duty cycle, and adaptive clustering protocol are compared with the obtained results of chosen algorithm. The proposed work shows promising results with respect to lifetime, average energy of nodes and packet delivery ratio.
Analysis and Comparison of Energy Efficiency of Android based Indoor/Outdoor ...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
A novel energy efficient routing algorithm for wireless sensor networks using...ijwmn
There are numerous applications for wireless sensor networks which are inevitable now a day in our daily
life. Majority of such applications which use wireless sensor networks will be in areas where the direct
human intervention is impossible. So the limited energy available in such sensors is a threat for prolonging
the life of the entire network. The need of energy efficiency in wireless sensor networks is a hot research
topic in which lot of new strategies for improvement in energy efficiency has been sought after. As
communication process consumes more energy, an energy efficient routing strategy can probably reduce
the energy consumption to a great extend. This paper gives an overview of the different routing techniques
in which mobile sinks are used to facilitate the routing process which can effectively reduce the energy use.
A new routing strategy with mobile sinks and a static sink is proposed and is compared based on the
matrices life time and average energy of the nodes with the existing Shortest Hop path (SH) algorithm. The
simulation results shows the proposed algorithm is more energy efficient than the existing one.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
DEVELOPMENT OF TONGUE DRIVE SYSTEM (TDS) OPERATED PATIENT FRIENDLY WHEEL CHAIR IJARIDEA Journal
The document discusses the development of a tongue drive system (TDS) to operate a powered wheelchair. The system uses a small permanent magnet attached to the tongue and hall effect sensors mounted outside the mouth. When the magnet is moved toward a sensor, the microcontroller moves the wheelchair in the corresponding direction. The system was designed and implemented using CATIA modeling software. It has advantages over existing systems like smooth control and affordability, allowing disabled people greater independence.
An algorithm for fault node recovery of wireless sensor networkeSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
This document proposes an optical flow based step length estimation algorithm for indoor pedestrian navigation using a smartphone. It uses the smartphone's camera and attitude sensors to estimate a user's motion. Specifically, it calculates optical flow from camera images to estimate pixel displacement. It also uses the smartphone's AHRS algorithm to determine the device's attitude. By combining the optical flow estimates with the attitude information, it can transform pixel displacements into estimates of the user's real-world movement, which are then used to continuously train and update a step length estimation model for indoor pedestrian navigation. The method aims to provide accurate step length estimation in a way that can be calibrated online without tedious pre-training.
This document discusses efficient rendezvous algorithms for wireless sensor networks with mobile base stations. It proposes an approach where select sensor nodes act as rendezvous points, buffering and aggregating data from other sensors. These rendezvous points then transfer the collected data to the base station when it arrives, combining the advantages of controlled mobility and in-network caching. Algorithms are presented for rendezvous design with mobile base stations having variable or fixed tracks. Both theoretical analysis and simulations validate that this approach can achieve a good balance between energy savings and reduced data collection latency in the network.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
IRJET-Multipath based Routing and Energy Efficient Multicasting for Wireless ...IRJET Journal
The document discusses the Real-Time, Fault Tolerant and Energy-Efficient (REFER) protocol for wireless sensor and actuator networks (WSANs). It proposes embedding Kautz graphs into the physical topology of a WSAN to enable real-time communication and connecting the graphs using a distributed hash table for scalability. The REFER protocol also includes an efficient fault-tolerant routing mechanism that allows nodes to quickly identify alternate paths upon failures based on node IDs rather than retransmissions. Simulation results show REFER outperforms existing WSAN approaches in terms of real-time performance, energy-efficiency, fault-tolerance and scalability.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges included increasing the sensor sampling rate and integrating data from multiple sensors. The described method provides indoor navigation when outdoor positioning systems like GPS are unavailable.
Indoor localisation and dead reckoning using Sensor Tag™ BLE.Abhishek Madav
The mobile application uses readings of the Accelerometer and Gyroscope from the Sensor Tag to describe details of motion in a planar mode. The project has been implemented as a part of the EECS 221 coursework at University of California, Irvine.
This document describes a method for indoor localization using a smartphone and Bluetooth Low Energy (BLE) sensor tag. The sensor tag contains an accelerometer, gyroscope, and other sensors to measure a user's motion and transmit the sensor data via BLE to a smartphone app. The app uses dead reckoning algorithms integrating accelerometer and gyroscope data to calculate the user's distance and direction of movement over time without GPS or network connectivity. Challenges addressed include increasing the sensor sampling rate and integrating accelerometer and gyroscope data to limit position error accumulation. The described system provides indoor navigation when outdoor positioning systems like GPS are unavailable.
1) This document discusses several research papers related to continuous data acquisition algorithms for smart grids using cloud-based technologies and smart meters.
2) It summarizes papers on cloud-based smart metering systems that use standardized communication between smart meters and servers stored in the cloud to optimize energy consumption. Another paper proposes a data collection algorithm that uses energy maps and clustering to reduce energy consumption and increase network lifetime.
3) A third paper discusses utilities using satellites to remotely collect meter data in real-time for accuracy. A final paper presents an algorithm for smart building power consumption scheduling that uses smart meters and dynamic pricing to incentivize shifting usage to low-cost time periods.
IRJET- Surveillance of Object Motion Detection and Caution System using B...IRJET Journal
This document describes a proposed surveillance system using a block matching algorithm for motion detection. The system would use IP cameras to stream video that is monitored for unauthorized activity. Motion detection is performed by comparing frames using the block matching algorithm to detect changes in pixel intensity values, which would trigger an alarm. The block matching algorithm divides frames into blocks of pixels and validates the maximum and minimum intensity of each pixel. Comparing blocks between frames identifies motion if intensity values change beyond a threshold. If motion is detected in a designated sensitive area, the system saves the video and sends alerts by email and mobile notification to users.
Energy efficient reverse skyline query processing over wireless sensor networksFinalyear Projects
This document discusses energy efficient processing of reverse skyline queries in wireless sensor networks. It proposes using a full skyband approach to minimize communication costs among sensor nodes when evaluating range reverse skyline queries. It also discusses optimization mechanisms for improving the performance of multiple reverse skyline queries, including vertical and horizontal optimizations. Extensive experiments on real and synthetic data demonstrate the efficiency and effectiveness of the proposed approaches.
This document describes a MEMS accelerometer-based system for hand gesture recognition. The system uses a portable device containing a triaxial accelerometer, microcontroller, and wireless transmission module. Users can write digits and make gestures, and the accelerometer measures the motions. A trajectory recognition algorithm processes the acceleration signals through preprocessing, feature generation/selection, and classification. The algorithm aims to accurately recognize gestures with high recognition rates. An experiment tests the algorithm on handwritten digit recognition with promising results.
This document summarizes research on developing a portable device using a MEMS accelerometer for hand gesture recognition. The device consists of a triaxial accelerometer, microcontroller, and wireless transmission module. It measures acceleration signals from hand motions and transmits them to a computer for trajectory recognition using a recognition algorithm. The algorithm processes the acceleration data through steps like filtering, feature extraction, and classification to identify gestures and enable control of electronic devices through hand motions. The research aims to create an accurate, low-cost gesture recognition system using a single accelerometer without additional sensors.
A Study of Mobile User Movements Prediction Methods IJECEIAES
For a decade and more, the Number of smart phone users count increasing day by day. With the drastic improvements in Communication technologies, the prediction of future movements of mobile users needs also have important role. Various sectors can gain from this prediction. Communication management, City Development planning, and locationbased services are some of the fields that can be made more valuable with movement prediction. In this paper, we propose a study of several Location Prediction Techniques in the following areas.
Similar to 2014 IEEE DOTNET MOBILE COMPUTING PROJECT Smartdc mobility prediction based adaptive duty cycling for everyday location monitoring (20)
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...shadow0702a
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
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.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Rainfall intensity duration frequency curve statistical analysis and modeling...bijceesjournal
Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval.
Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall.
Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.
2014 IEEE DOTNET MOBILE COMPUTING PROJECT Smartdc mobility prediction based adaptive duty cycling for everyday location monitoring
1. GLOBALSOFT TECHNOLOGIES
SmartDC: Mobility Prediction-Based Adaptive Duty
Cycling for Everyday Location Monitoring
ABSTRACT
Monitoring a user's mobility during daily life is an essential requirement in providing advanced
mobile services. While extensive attempts have been made to monitor user mobility, previous
work has rarely addressed issues with predictions of temporal behavior in real deployment. In
this paper, we introduce SmartDC, a mobility prediction-based adaptive duty cycling scheme to
provide contextual information about a user's mobility: time-resolved places and paths. Unlike
previous approaches that focused on minimizing energy consumption for tracking raw
coordinates, we propose efficient techniques to maximize the accuracy of monitoring meaningful
places with a given energy constraint. SmartDC comprises unsupervised mobility learner,
mobility predictor, and Markov decision process-based adaptive duty cycling. SmartDC
estimates the regularity of individual mobility and predicts residence time at places to determine
efficient sensing schedules. Our experiment results show that SmartDC consumes 81 percent less
energy than the periodic sensing schemes, and 87 percent less energy than a scheme employing
context-aware sensing, yet it still correctly monitors 90 percent of a user's location changes
within a 160-second delay.
Existing System:
Monitoring a user's mobility during daily life is an essential requirement in providing advanced
mobile services. While extensive attempts have been made to monitor user mobility, previous
work has rarely addressed issues with predictions of temporal behavior in real deployment. In
this paper, we introduce SmartDC, a mobility prediction-based adaptive duty cycling scheme to
provide contextual information about a user's mobility: time-resolved places and paths. Unlike
previous approaches that focused on minimizing energy consumption for tracking raw
coordinates.
Proposed System:
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2. we propose efficient techniques to maximize the accuracy of monitoring meaningful places with
a given energy constraint. SmartDC comprises unsupervised mobility learner, mobility predictor,
and Markov decision process-based adaptive duty cycling. SmartDC estimates the regularity of
individual mobility and predicts residence time at places to determine efficient sensing
schedules. Our experiment results show that SmartDC consumes 81 percent less energy than the
periodic sensing schemes, and 87 percent less energy than a scheme employing context-aware
sensing, yet it still correctly monitors 90 percent of a user's location changes wit hin a 160-second
delay
System Specification
Hardware Requirements:
• System : Pentium IV 2.4 GHz.
• Hard Disk : 40 GB.
• Floppy Drive : 1.44 Mb.
• Monitor : 14’ Colour Monitor.
• Mouse : Optical Mouse.
• Ram : 512 Mb.
Software Requirements:
• Operating system : Windows 7.
• Coding Language : ASP.Net with C#