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Updates found with 'tracking'

MATLAB PROJECTS ABSTRACT 2016-2017 ROBUST VISUAL TRACKING VIA CONVOLUTIONAL NETWORKS WITHOUT TRAINING ABSTRACT: Deep networks have been successfully applied to visual tracking by learning a generic representation offline from numerous training images. However, the offline training is time consuming and the learned generic representation may be lessd is criminative for tracking specific objects. In this paper we present that, even without offline training with a large amount of auxiliary data, simple two-layer convolution networks can be powerful enough to learn robust representations for visual tracking. In the first frame, we extract a set of normalized patches from the target region as fixed filters, which integrate a series of adaptive contextual filters surrounding the target to define a set of feature maps in the subsequent frames. These maps measure similarities between each filter and useful local intensity patterns across the target, thereby encoding its local structural information. Furthermore, all the maps together form a global representation, via which the inner geometric layout of the target is also preserved. A simple soft shrinkage method that suppresses noisy values below an adaptive threshold is employed to denoise the global representation. Our convolution networks have lightweight structure and perform favorably against several state of-the-art methods on the recent tracking benchmark dataset with 50 challenging videos.
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IEEE 2016 -2017 Embedded System Projects TitlesS.No Project Title Code1. Coexistence of ZigBee-Based WBAN and Wi-Fi for Health Telemonitoring Systems Wireless2. A Novel Wireless Multifunctional Electronic Current Transformer based on ZigBee-based Communication Wireless3. Configurable ZigBee-based control system for people with multiple disabilities in smart homes Wireless4. ZigBee network system for observing operating activities of work vehicles Wireless5. Interference-Mitigated ZigBee-Based Advanced Metering Infrastructure Wireless6. A Mobile ZigBee Module in a Traffic Control System ` Wireless7. Energy Efficient Outdoor Light Monitoring and Control Architecture Using Embedded System Wireless8. Low-power wearable ECG monitoring system for multiple-patient remote monitoring Wireless9. Energy-Efficient Intelligent Street Lighting System Using Traffic-Adaptive Control Wireless10. Development of a distributed disaster data and human life sign probe system Wireless11. Design and implementation of a home automation system for smart grid applications Wireless12. Milk products monitoring system with arm processor for early detection of microbial activity ARM13. Micro grid demonstration gateway for players communication and load monitoring and management Wireless14. WiFACT -- Wireless Fingerprinting Automated Continuous Training Wireless15. Lightweight Mashup Middleware for Coal Mine Safety Monitoring and Control Automation Wireless16. A smart wearable system for sudden infant death syndrome monitoring General17. Exoskeleton robots for upper-limb rehabilitation Robotics18. Wearable Camera- and Accelerometer-Based Fall Detection on Portable Devices GSM & GPS19. Innovation in Underwater Robots: Biologically Inspired Swimming Snake Robots Robotics20. GPS based autonomous vehicle navigation and control system GSM & GPS21. Real-Time Driving Monitor System: Combined Cloud Database with GPS IoT22. AgriSys: A smart and ubiquitous controlled-environment agriculture system IoT23. Building Smart Cities Applications using IoT andCloud-based Architectures IoT24. An IoT-based system for collision detection on guardrails IoT25. A vision-based teleoperation method for a robotic arm with 4 degrees of freedom Robotics26. Gesture control of drone using a motion controller Robotics27. Development of the Mobile Robot with a Robot Arm Robotics28. Milk products monitoring system with arm processor for early detection of microbial activity ARM29. Controller Area Network Assisted Grid Synchronization of a Microgrid With Renewable Energy Sources and Storage Electrical30. A Real-Time Embedded System for Monitoring of Cargo Vehicles, Using Controller Area Network (CAN) CAN31. Wireless biosensing network for drivers' health monitoring Biomedical32. Android4Auto: A proposal for integration of Android in vehicle infotainment systems Android33. A pulse measurement and data management system based on Arduino platform and Android device Android34. Remote control and instrumentation of Android devices Android35. “AUTOBOOK” The Messaging Machines (Using GSM and Arduino) Arduino36. Tracking and Theft Prevention System for Two Wheeler Using GSM and GPS GSM & GPS37. Bank Locker Security System Using RFID and GSM Technology GSM38. Design of Entrapment Escalation using GSM for Elevators GSM39. Distribution Line Fault Detection & GSM Module Based Fault Signaling System Electrical40. GSM & PIR Based Advanced Antitheft Security System Security 41. LPG Gas Weight and Leakage Detection System Using GSM GSM42. Android Based Women Tracking System Using GPS and GSM GSM & GPS43. Trespass Prevention System Using IOT IoT44. Automatic Vehicle Accident Detection and Rescue System GSM & GPS45. Design and Implementation of Integrated Mobile Operated Remote Vehicle IoT46. A Wearable Device for Continuous Detection and Screening of Epilepsy during Daily Life IoT47. Review of Automatic Detection and control of Disease for Grape Field Gen48. Environmental Condition Monitoring System for the Industries Gen49. Security Management Access Control System Gen50. Design and Development of Embedded based System for Monitoring Industrial and Environmental Parameters for Analyzing the Health of Human beings Gen51. Visual Surveillance Using Absolute Difference Motion Detection System Raspberry pi52. Automatic Irrigation System Using Internet of Things IoT53. Design of Embedded Irrigation System by Using WSN Wireless54. Vehicle Accident Prevention Using Assistant Braking System Gen55. Smart Transport Database Management System Gen56. Accident Alert Using ZIGBEE and GPS Wireless57. Controlling the Home Appliances Remotely Through Web Application Using ZIGBEE Wireless58. An optimized solar traffic control and alert system using wireless sensor networks Wireless59. Biometric Recognition Technique for ATM System Security60. Light Weight Access Control System for Constrained IOT Devices IoT61. Design of Prototype Model for Home Automation Using Wireless Sensor Networks Wireless62. Automated Sensor Network For Monitoring and Detection of Impurity In Drinking Water System General63. Automated Smart Trolley with Smart Billing Using Arduino Gene64. Embedded Automatic Vehicle Control System Using Voice Recognition On ARM 7 Processor ARM65. Embedded Voice Controlled Computer For Visually Impaired and Physically Disabled People Using Arm Processor ARM66. Implementation of Embedded Web Server Using TCP/IP Protocol with Raspberry PI Raspberry PI67. Designing of Cleaning Robot Robot68. An Analysis of Network-Based Control System Using Controller Area Network (CAN) Protocol CAN69. Identify the Deterioration in Pipe by Using Wheel Operated Robot Robot70. RFID -G Based Navigation System For Visually Impaired To Work at Industry Gen71. New Generation ATM Terminal Services NFC72. A Wireless Sensor Interface for the Quantification of Tremor Using Off the Shelf Components Wireless73. Design and Implementation of Low-Cost SMS Based Monitoring System of Distribution Transformers GSM74. An Integrated Cloud-Based Smart Home Management System with Community Hierarchy Automation75. Home Outlet and LED Array Lamp Controlled by a Smartphone with a Hand Gesture Recognition Gesture76. Low-power wearable ECG monitoring system for multiple-patient remote monitoring Bio-medical77. Smart Real-Time Healthcare Monitoring and Tracking System using GSM/GPS Technologies Bio-medical78. The Design of Building Fire Monitoring System Based on ZigBee-WiFi Networks Wireless
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EMBEDDED PROJECTS ABSTRACT 2016-2017 SMART REAL-TIME HEALTHCARE MONITORING AND TRACKING SYSTEM USING GS/MGPS TECHNOLOGABSTRACT: Health monitoring systems have rapidly evolved recently, and smart systems have been proposed to monitor patient current health conditions, in our proposed and implemented system, we focus on monitoring the patient’s blood pressure, and his body temperature. Based on last decade statistics of medical records, death rates due to hypertensive heart disease, shows that the blood pressure is a crucial risk factor for atherosclerosis and ischemic heart diseases; thus, preventive measures should be taken against high blood pressure which provide the ability to track, trace and save patient’s life at appropriate time is an essential need for mankind.Nowadays, Globalization demands Smart cities, which involves many attributes and services, such as government services, Intelligent Transportation Systems (ITS), energy, health care, water and waste. This paper proposes a system architecture for smart healthcare based on GSM and GPS technologies.The objective of this work is providing an effective application for Real Time Health Monitoring and Tracking. The system will track, trace, monitor patients and facilitate taking care of their health; so efficient medical services could be providedat appropriate time. By Using specific sensors, the data willbe captured and compared with a configurable threshold viamicrocontroller which is defined by a specialized doctor whofollows the patient; in any case of emergency a short messageservice (SMS) will be sent to the Doctor’s mobile number alongwith the measured values through GSM module. furthermore, the GPS provides the position information of the monitoredperson who is under surveillance all the time. Moreover, thepaper demonstrates the feasibility of realizing a complete endto-end smart health system responding to the real health systemdesign requirements by taking in consideration wider vital humanhealth parameters such as respiration rate, nerves signs ... etc.The system will be able to bridge the gap between patients -in dramatic health change occasions- and health entities who response and take actions in real time fashion.
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IEEE 2016 - 2017 Power Electronics and Power Systems Titles1) Investigation of Negative-Sequence Injection Capability of Cascaded H-Bridge Converters in Star and Delta Configuration2) A Novel Control for a Cascaded Buck Boost PFC Converter Operating in Discontinuous Capacitor Voltage Mode3) A Single-Phase Buck-Boost Matrix Converter with Only Six Switches and Without Commutation Problem4) Adaptive Neuro Fuzzy Inference System Least Mean Square Based Control Algorithm for DSTATCOM5) Average-Value Model of Modular Multilevel Converters Considering Capacitor Voltage Ripple6) LMF Based Control Algorithm for Single Stage Three-Phase Grid Integrated Solar PV System7) Analysis of bi-directional piezoelectric-based converters for zero-voltage switching operation8) A Multi-Level Converter with a Floating Bridge for Open-Ended Winding Motor Drive Applications9) Variable Duty Cycle Control for Quadratic Boost PFC Converter10) Pulse Pattern Modulated Strategy for Harmonic Current Components Reduction in Three-Phase AC-DC Converters11) Practical Layouts and DC-Rail Voltage Clamping Techniques of Z-Source Inverters12) A Low Capacitance Cascaded H-Bridge Multi-Level StatCom13) Impedance networks and its Application in Power for Electric Traction Systems14) Phase Current Balance Control Using DC-Link Current Sensor for Multi-Phase Converters with Discontinuous Current Mode Considered 15) Efficient Single Phase Transformerless Inverter for Grid-Tied PVG System With Reactive Power Control16) Single-Stage High Power Factor Converters Requiring Low DC-Link Capacitance to Drive Power LEDs17) High Efficiency Bi-Directional Converter for Flywheel Energy Storage Application18) Z-Source Resonant Converter with Power Factor Correction for Wireless Power Transfer Applications19) Design of External Inductor for Improving Performance of Voltage Controlled DSTATCOM20) A Single-Switch AC-DC LED Driver Based on a Boost-Flyback PFC Converter with Lossless Snubber21) Control and Analysis of the Modular Multilevel DC De-Icer with STATCOM Functionality22) Combined Phase Shift and Frequency Modulation of a Dual Active Bridge AC-DC Converter with PFC23) Least Power Point Tracking Method for Photovoltaic Differential Power Processing Systems24) Experimental Investigation on a Hybrid Series Active Power Compensator to Improve Power Quality of Typical Households25) Soft Start and Voltage Control of Induction Motors using Floating Capacitor Hbridge Converters26) High Performance Predictive Control of Quasi Impedance Source Inverter27) Analysis of the Integrated SEPIC-Flyback Converter as a Single-Stage Single-Switch Power-Factor-Correction LED Driver28) Matrix Converter Based Active Distribution Transformer29) Universal AC Input High Density Power Adapter Design with a Clamped Series Resonant30) SVM Strategies for Common-Mode Current Reduction in Transformerless Current-Source Drives at Low Modulation Index31) A Single-stage High Frequency Resonant AC/AC Converter32) Analysis and Control of Neutral-Point Voltage for Transformerless Three-Level PV Inverter in LVRT Operation33) A Hybrid-STATCOM with Wide Compensation Range and Low DC-Link Voltage34) A Single-Stage Single-Switch LED Driver Based on Class-E Converter35) Impedance Coordinative Control for Cascaded Converter in Bidirectional Application36) A DC-voltage Controlled Variable Capacitor for Stabilizing the ZVS Frequency of a Resonant Converter for Wireless Power Transfer37) Combined LMS-LMF Based Control Algorithm of DSTATCOM for Power Quality Enhancement in Distribution System38) Interleaved SEPIC Power Factor Pre-Regulator Using Coupled Inductors in Discontinuous Conduction Mode with Wide Output Voltage39) Model Predictive Control Scheme of Five-Leg AC-DC-AC Converter-Fed Induction Motor Drive40) A Virtual RLC Damper to Stabilize DC/DC Converters Having an LC Input Filter while Improving the Filter Performance41) Synchronous Power Controller with Flexible Droop Characteristics for Renewable Power Generation Systems42) A Buck Power Factor Correction Converter with Predictive Quadratic Sinusoidal Current Modulation and Line Voltage Reconstruction43) A Real-time Variable Turn-off Current Strategy for PFC Converter with Voltage Spike Limitation and Efficiency Improvement44) A Common Grounded Z-Source DC-DC Converter with High Voltage Gain45) A Digital Predictive Current Mode Controller for Single Phase High Frequency Transformer Isolated Dual Active Bridge DC to DC Converter46) A High-Voltage Compliant Current-to-Digital Sensor for DC-DC Converters in Standard CMOS Technology47) A New Single-Switch Isolated High-Gain Hybrid Boosting Converter48) A Novel Approach to Generate Effective Carrier-Based Pulsewidth Modulation Strategies for Diode-Clamped Multilevel DC-AC Converters49) A Novel Medium-Voltage Modular Multilevel DC-DC Converter50) A PWM Plus Phase-Shift Controlled Interleaved Isolated Boost Converter Based on Semi-Active Quadrupler Rectifier for High Step-Up Applications51) Analysis and Design of Current-Fed High Step Up PWM Controlled Quasi-Resonant DC-DC Converter for Fuel Cell Applications52) Analysis and Implementation of a Non-Isolated Bidirectional DC-DC Converter with High Voltage Gain53) Capacitor Aging Detection in DC-DC Converter Output Stage54) Derivation of Dual-Switch Step-Down DC/DC Converters with Fault-Tolerant Capability55) Design and Analysis of a High Efficiency DCDC Converter with Soft Switching Capability for Renewable Energy Applications Requiring High Voltage Gain56) Design and Steady State Analysis of Parallel Resonant DC-DC Converter for High Voltage Power Generator57) Digital Control of a High Voltage (2.5 kV) Bidirectional DC-DC Flyback Converter for Driving a Capacitive Incremental Actuator58) Downsizing Effects of Integrated Magnetic Components in High Power Density DC-DC Converters for EV and HEV59) Effective Voltage Balance Control for Bipolar-DC-Bus Fed EV Charging Station with Three-Level DC-DC Fast Charger60) Feed-Forward based Control in a DC-DC Converter of Asymmetric Multistage Stacked Boost Architecture61) High Step-Up/Step-Down Soft-Switching Bidirectional DC-DC Converter with Coupled-Inductor and Voltage Matching Control for Energy Storage Systems62) High-Efficiency Asymmetric Forward-Fly back Converter for Wide Output Power Range63) Isolated Double Step-down DC-DC Converter with Improved ZVS Range and No Transformer Saturation Problem64) Minimum-Current-Stress Scheme of Dual Active Bridge DC-DC Converter with Unified-phase-shift Control65) Model Predictive Control of Capacitor Voltage Balancing for Cascaded Modular DC-DC Converters66) Model Predictive Voltage Control for Single Inductor Multiple-Output DC-DC Converter with Reduced Cross Regulation67) Parasitics Assisted Soft-switching and Secondary Modulated Snubberless Clamping Current-fed Bidirectional Voltage Doubler for Fuel Cell Vehicles68) Stability Analysis and Stabilization methods of DC Microgrid with Multiple Parallel-Connected DC-DC Converters loaded by CPLs69) Steady-State Analysis of Inductor Conduction Modes in the Quadratic Boost Converter70) Suppression of the Peak Harmonics from Loads by Using a Variable Capacitance Filter in Low-Voltage DC/DC Converters71) Topology Derivation and Generalized Analysis of Zero-Voltage-Switching Synchronous DC-DC Converters with Coupled Inductors72) Unified Triple-Phase-Shift Control to Minimize Current Stress and Achieve Full Soft Switching of Isolated Bidirectional DC-DC Converter73) A New Transformerless Buck-Boost Converter With Positive Output Voltage74) Derivation of Dual-Switch Step-Down DC/DC Converters with Fault-Tolerant Capability75) Digital Sensorless Current Mode Control Based on Charge Balance Principle and Dual Current Error Compensation for DC–DC Converters in DCM
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IEEE 2016 - 2017 Matlab Image Processing TitlesS.No Project Titles 1. Data-driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain 2. Double-Tip Arte fact Removal from Atomic Force Microscopy Images 3. Quaternion Collaborative and Sparse Representation With Application to Color Face Recognition 4. Multi-Level Canonical Correlation Analysis for Standard-Dose PET Image Estimation 5. Weakly Supervised Fine-Grained Categorization with Part-Based Image Representation 6. Robust Visual Tracking via Convolutional Networks without Training 7. Context-based prediction filtering of impulse noise images 8. Predicting the Forest Fire Using Image Processing 9. A Review Paper on detection of Glaucoma using Retinal Fundus Images 10. Performance Analysis of Filters on Complex Images for Text Extraction through Binarization 11. Automated Malaria Detection from Blood Samples Using Image Processing 12. Learning Invariant Color Features for Person Re-Identification 13. A Diffusion and Clustering-based Approach for Finding Coherent Motions and Understanding Crowd Scenes 14. Automatic Design of Color Filter Arrays in The Frequency Domain 15. Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution 16. Image Segmentation Using Parametric Contours With Free Endpoints 17. CASAIR: Content and Shape-Aware Image Retargeting and Its Applications 18. Texture classification using Dense Micro-block Difference 19. Statistical performance analysis of a fast super-resolution technique using noisy translations 20. Trees Leaves Extraction In Natural Images Based On Image segmentation and generating Its plant details
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JAVA/DOT NET PROJECTS ABSTRACT 2016-2017 MINING USER-AWARE RARE SEQUENTIAL TOPIC PATTERNS IN DOCUMENT STREAMS ABSTRACT: Textual documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In this paper, in order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviors. We present a group of algorithms to solve this innovative mining problem through three phases: preprocessing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with (expected) support values for each user by pattern-growth, and selecting URSTPs by making user-aware rarity analysis on derived STPs. Experiments on both real (Twitter) and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users’ characteristics.EXISTING SYSTEMS: Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. Taking advantage of these extracted topics in document streams, most of existing works analyzed the evolution of individual topics to detect and predict social events as well as user behaviors. However, few researches paid attention to the correlations among different topics appearing in successive documents published by a specific user, so some hidden but significant information to reveal personalized behaviors has been neglected. And correspondingly, unsupervised mining algorithms for this kind of rare patterns need to be designed in a manner different from existing frequent pattern mining algorithms. Most of existing works on sequential pattern mining focused on frequent patterns, but for STPs, many infrequent ones are also interesting and should be discovered.PROPOSED SYSTEMS: In order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. In order to characterize user behaviors in published document streams, we study on the correlations among topics extracted from these documents, especially the sequential relations, and specify them as Sequential Topic Patterns (STPs). Each of them records the complete and repeated behavior of a user when she is publishing a series. Topic mining in document collections has been extensively studied in the literature. Topic Detection and Tracking (TDT) task aimed to detect and track topics (events) in news streams with clustering-based techniques on keywords. The experiments conducted on both real (Twitter) and synthetic datasets demonstrate that the proposed approach is very effective and efficient in discovering special users as well as interesting and interpretable URSTPs from Internet document streams, which can well capture users’ personalized and abnormal behaviors and characteristics.ADVANATAGES: Taking advantage of these extracted topics in document streams, most of exist works analyzed the evolution of individual topics to detect and predict social events as well as user behaviors. In order to find significant STPs, a document stream should be divided into independent sessions in advance with the definition. A sketch map of session identification Each ellipse represents a session, and all the sessions in each line constitute a document subsequence for a specific user. we can conclude that the two algorithms have their respective advantages. Which one is appropriate for the real task reflects a trade-off between mining accuracy and execution speed, and should depend on the specific requirements of application scenarios.HARDWARE REQUIREMENTS: Hardware - Pentium Speed - 1.1 GHz RAM - 1GB Hard Disk - 20 GB Floppy Drive - 1.44 MB Key Board - Standard Windows Keyboard Mouse - Two or Three Button Mouse Monitor - SVGASOFTWARE REQUIREMENTS: Operating System : Windows Technology : Java and J2EE Web Technologies : Html, JavaScript, CSS IDE : My Eclipse Web Server : Tomcat Tool kit : Android Phone Database : My SQL Java Version : J2SDK1.5 CONCLUSION: Mining URSTPs in published document streams on the Internet is a significant and challenging problem. It formulates a new kind of complex event patterns based on document topics, and has wide potential application scenarios, such as real-time monitoring on abnormal behaviors of Internet users. In this paper, several new concepts and the mining problem are formally defined, and a group of algorithms are designed and combined to systematically solve this problem. The experiments conducted on both real (Twitter) and synthetic datasets demonstrate that the proposed approach is very effective and efficient in discovering special users as well as interesting and interpretable URSTPs from Internet document streams, which can well capture users’ personalized and abnormal behaviors and characteristics. As this paper puts forward an innovative research direction on Web data mining, much work can be built on it in the future.
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