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Updates found with 'iot iot'

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Updates found with 'iot iot'

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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JAVA PROJECTS ABSTRACT 2016-2017 A CLOUD-BASED SMART-PARKING SYSTEM BASED ON INTERNET-OF-THINGS TECHNOLOGIES ABSTRACT: This paper introduces a novel algorithm that increases the efficiency of the current cloud-based smart-parking system and develops a network architecture based on the Internet-of-Things technology. This paper proposed a system that helps users automatically find a free parking space at the least cost based on new performance metrics to calculate the user parking cost by considering the distance and the total number of free places in each car park. This cost will be used to offer a solution of finding an available parking spaceupon a request by the user and a solution of suggesting a new car park if the current car park is full. The simulation results show that the algorithm helps improve the probability of successful parking and minimizes the user waiting time. We also successfully implemented the proposed system in the real world.Existing System: The current intelligent parking system does not provide an overall optimal solution in finding an available parking space, does not solve the problem of load balancing, does not provide economic benefit, and does not plan for vehicle-refusal service.Proposed System: To resolve the aforementioned problems and take advantage of the significant development in technology, the Internet-of-Things technology (IoT) has created a revolution in many fields in life as well as in smart-parking system (SPS) technology . The present study proposes and developsan effective cloud-based SPS solution based on the Internet of Things. Our system constructs each car park as an IoT network, distance between car parking areas and number of free slots in car park areas will be transferred to the data center.Conclusion: This study has proposed a parking system that improves performance by reducing the number of users that fail to find a parking space and minimizes the costs of moving to the parking space. Our proposed architecture and system has been successfully simulated and implemented in a real situation. The results show that our algorithm significantly reduces the average waiting time of users for parking. Our results closely agree with those of our proposed mathematical models. The simulation of our system achieved the optimal solution when most of the vehicles successfully found a free parking space. The average waiting time of each car park for service becomes minimal, and the total time of each vehicle in each car park is reduced. In our future study, we will consider the security aspects of our system as well as implement our proposed system in large scales in the real world.
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JAVA /DOT NET PROJECTS ABSTRACT 2016-2017 INVERTED LINEAR QUADTREE: EFFICIENT TOP K SPATIAL KEYWORD SEARCH ABSTRACT: In this paper, With advances in geo-positioning technologies and geo-location services, there are a rapidly growing amount of spatiotextual objects collected in many applications such as location based services and social networks, in which an object is described by its spatial location and a set of keywords (terms). Consequently, the study of spatial keyword search which explores both location and textual description of the objects has attracted great attention from the commercial organizations and research communities. In the paper, we study two fundamental problems in the spatial keyword queries: top k spatial keyword search (TOPK-SK), and batch top k spatial keyword search (BTOPK-SK). Given a set of spatio-textual objects, a query location and a set of query keywords, the TOPK-SK retrieves the closest k objects each of which contains all keywords in the query. BTOPK-SK is the batch processing of sets of TOPK-SK queries. Based on the inverted index and the linear quadtree, we propose a novel index structure, called inverted linear quadtree (IL- Quadtree), which is carefully designed to exploit both spatial and keyword based pruning techniques to effectively reduce the search space. An efficient algorithm is then developed to tackle top k spatial keyword search. To further enhance the filtering capability of the signature of linear quadtree, we propose a partition based method. In addition, to deal with BTOPK-SK, we design a new computing paradigm which partition the queries into groups based on both spatial proximity and the textual relevance between queries. We show that the IL-Quad tree technique can also efficiently support BTOPK-SK. Comprehensive experiments on real and synthetic data clearly demonstrate the efficiency of our methods.EXISTING SYSTEMS: The Existing Techniques for the problem of TOPK-SK query as well as some other variants of top k spatial keyword search. Then other spatial keyword related queries are introduced. Considering the indexing scheme used in existing works, we classify the indexes into two categories, namely Keyword First Index and Spatial First Index. we describe the shortcomings of the existing indexing approaches. the system throughout is poor if a large number of queries are processed one by one. Motivated by this, a large body of existing work have been devoted to investigate how to improve the system throughout with the batch query processing techniques such that a large number of queries in the queue can be processed with a reasonable delay.PROPOSED SYSTEMS: we propose a novel index structure, called inverted linear quadtree (IL- Quadtree), which is carefully designed to exploit both spatial and keyword based pruning techniques to effectively reduce the search space. An efficient algorithm is then developed to tackle top k spatial keyword search. the spatial keyword rank- ing query is proposed to rank objects based on a scoring function which considers the distance to the query location as well as the textual relevance to the query keywords. In the paper, we adopt the linear quadtree structure because the quadtree is more flexible in the sense that the index is adaptive to the distribution of the objects and we may prune the objects at high levels of the quadtree. Clearly, the new structure proposed satisfies the above-mentioned three important criteria of the spatial keyword indexing method.Advantages:An efficient algorithm is developed to support the top k spatial keyword search by taking advantage of the IL-Quadtree. We further propose a partition based method to enhance the effectiveness of the signature of linear quadtree.The main difference is that the construction of WIBR-tree takes advantage of the term frequencies of the keywords to facilitate the joint TOPK-SK queries.Disadvantages: In the GPS navigation system, a POI (point of interest) is a geographically anchored pushpin that someone may find useful or interesting, which is usually annotated with texture information (e.g., descriptions and users’ reviews). Moreover, in many social network services (e.g., Facebook, Flickr), a huge number of geo-tagged photographs are accu- mulated everyday, which can be geo-tagged by users, GPS- enabled smartphones or cameras with a built-in GPS receiver . These uploaded pho- tographs are usually associated with multiple text labels. As a result, in recent years various spatial keyword query models and techniquesHARDWARE 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: The problem of top k spatial keyword search is important due to the increasing amount of spatio-textual objects collected in a wide spectrum of applications. In the paper, we propose a novel index structure, namely IL-Quadtree, to organize the spatio-textual objects. An efficient algorithm is developed to support the top k spatial keyword search by taking advantage of the IL-Quadtree. We further propose a partition based method to enhance the effectiveness of the signature of linear quadtree. To facilitate a large amount of spatial keyword queries, we propose a BTOPK-SK algorithm as well as a query group algorithm to enhance the performance of the system. Our comprehensive experiments convincingly demonstrate the efficiency of our techniques.
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VLSI PROJECTS ABSTRACT 2016-2017 IMPLEMENTING MINIMUM-ENERGY-POINT SYSTEMS WITH ADAPTIVE LOGIC ABSTRACT: Timing-error-detection (TED)-based systems have been shown to reduce power consumption or increase yield due to reduced margins. This paper shows that the increased adaptability can be a great advantage in the system design in addition to the well-known mitigated susceptibility to ambient and internal variations. Specifically, the design tolerances of the power management are relaxed to enable even greater system-level energy savings than what can be achieved in the logic alone. In addition, the system is simultaneously able to operate near the minimum error point. Here, the power management is a simplified dc–dc converter and the TED is based on time borrowing. The target application is a single-chip system on chip without external discrete components; thus, switched capacitors are used for the dc–dc. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.EXISTING SYSTEM: Furthermore, the energy consumption of transmitting a bit across a given distance does not scale with Moore’s law as advantageously as the digital processing within a ubiquitous wireless node. Therefore, the energy cost of wireless transmission will proportionally grow when compared with digital processing. Increasing the energy efficiency thus requires increasing the amount of intranode processing to minimize the wireless transmission of data. The processor and the digital signal processor will thus become one of the, if not the, most important parts to be optimized. This will be compounded by the increasing functionalities within the node (video compression and analysis, machine learning, etc.). Ideally, the logic of IoT devices would operate at their minimum energy point (MEP). PROPOSED SYSTEM: For digital static CMOS logic, when the performance constraints allow, the straightforward solution to energy frugality is to lower the operating voltage, all the way to the MEP. The MEP has been proven to exist around 0.2–0.4 V depending on various factors. For process nodes down to 45 nm, this is in the subthreshold operation region and for smaller process nodes, in the near-threshold region. ADVANTAGES:• EDP is reduced• Reduce the power consumption DISADVANTAGES:• EDP is high• Power consumption is high SOFTWARE IMPLEMENTATION:• Modelsim• Xilinx ISE
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