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EMBEDDED PROJECTS ABSTRACT 2016-2017 GESTURE CONTROL OF DRONE USING A MOTION CONTROLLER ABSTRACT: In this study, we present our implementation of using a motion controller to control the motion of a drone via simple human gestures. We have used the Leap as the motion controller and the Parrot AR DRONE 2.0 for this implementation. The Parrot AR DRONE is an off the shelf quad rotor having an on board Wi-Fi system. The AR DRONE is connected to the ground station via Wi-Fi and the Leap is connected to the ground station via USB port. The LEAP Motion Controller recognizes the hand gestures and relay sit on to the ground station. The ground station runs ROS (Robot Operating System) in Linux which is used as the platform for this implementation. Python is the programming language used for interaction with the AR DRONE in order to convey the simple hand gestures. In our implementation, we have written python codes to interpret the hand gestures captured by the LEAP, and transmit them in order to control the motion of the AR DRONE via these gestures.
IEEE 2019-2020 Final Year Projects Available for Bulk Sales 35 Python Projects @ 60, 000
IEEE 2016-2017 EMBEDDED PROJECTS ABSTRACT TURNING THE INTERNET OF (MY) THINGS INTO A REMOTE CONTROLLED LABORATORY ABSTRACT: This project presents a locally developed adaptive watering system as an example of a remote controlled laboratory (RCL) developed with standard open hardware and using libraries taken from the e-lab. This experiment is a particular case that could benefit from a large number of RCLs proposing different water budget strategies, allowing the studies of the best controller algorithm to save water. The water consumption log can be monitored in real-time and served to any user as a distributed remote laboratory with support of a Raspberry PI and a web connection. The ultimate goal of RCLs will be achieved. EXISTING SYSTEM • It existing system improvements in power consumption high . • This experimental overall cost not a compromising the performance. • It is network based costly PROPOSED SYSTEM • The proposed system water consumption log can be monitored in real-time and served to any user as a distributed remote laboratory with support of a Raspberry PI • This paper a security system is proposed to overcome this issue. • It is fully wireless technology. HARDWARE REQUIREMENT • RASPBERRY PI • LCD • PC • POWER SUPPLY • RELAY • DC MOTOR SOFTWARE REQUIREMENT • RASPION OS • PYTHON
IEEE 2016-2017 EMBEDDED PROJECTS ABSTRACT SMART VEHICLE SECURITY SYSTEM FOR DEFENDING AGAINST COLLABORATIVE ATTACKS BY MALWARE ABSTRACT:- Modern world vehicles are not just mechanical devices but are smart enough to make decisions and act based on real time inputs. This features also results in various technical vulnerabilities. So, Security systems are inevitably part of today’s life. Here in the proposed work a real time vehicle security system and malware detection system developed and implemented. The proposed system will ensure that the authorized person will be able to activate and use the car and thus ensuring that unauthorized access is prevented. When the car ignition is to be activated, the security system will initially check the person’s valid authentication and allow the valid user to access it. If it detects any unauthorized access, the proposed Person Authentication System (PAS) will prevent the person to operate the car and it will send the alert information image to the system controller. Also the malware system detects any spyware in the image to determine the authenticity of the image. The system is implemented integrating the hardware built on ARM core and user interface on java platform. EXISTING SYSTEM:- • In existing system the finger print& password type needs high cost and easily leaks to a third party. • In current situation vehicle theft has relatively increased with more focus on high • It is low human effect. PROPOSED SYSTEM:- • The proposed Person Authentication System (PAS) will prevent the person to operate the car and it will send the alert information image to the system . • This paper a security system is proposed to overcome this issue. • It is fully wireless technology. HARDWARE REQUIREMENT:- • RASPBERRY PI • LCD • POWER SUPPLY • CAMERA • GSM • RELAY • ROBOT SOFTWARE REQUIREMENT:- • RASPION OS • PYTHON
IEEE 2016-2017 EMBEDDED PROJECTS ABSTRACT SEPIA: SECURE-PIN-AUTHENTICATION-AS-A SERVICE FOR ATM USING MOBILE AND WEARABLE DEVICES ABSTRACT:- Credit card fraud is a common problem in today’s world. Financial institutions have registered major loses till today due to users being exposed of their credit card information. Shoulder-surfing or observation attacks, including card skimming and video recording with hidden cameras while users perform PIN-based authentication at ATM terminals is one of the common threats for common users. Researchers have struggled to come up with secure solutions for secure PIN authentication. However, modern day ubiquitous wearable devices, such as the Google Glass have presented us with newer opportunities in this research area. This project proposes a Secure-PIN-Authentication-as-a- Service (SEPIA), a secure obfuscated PIN authentication protocol for ATM and other point-of-service terminals using cloud connected personal mobile and wearable devices. Our approach protects the user from shoulder-surfers and partial observation attacks, and is also resistant to relay, replay, and intermediate transaction attacks. A SEPIA user utilizes a Google Glass or a mobile device for scanning a QR code on the terminal screen to prove co-location to the cloud-based server and obtain a secure PIN template for point-of-service authentication. EXISTING SYSTEM:- • It existing system protocol works with a not wearable. • This experimental overall cost not a compromising the performance. • It is network based costly PROPOSED SYSTEM:- • We propose Secure-PIN-Authentication-as-a- Service (SEPIA), a secure obfuscated PIN authentication protocol for ATM and other point-of-service terminals using cloud connected personal mobile and wearable devices. • The proposed protocol works with a wearable or mobile device to allow an obfuscated PIN template entry and is resistant to shoulder-surfing, relay, and replay attacks. • This paper a fully security system is proposed to overcome this issue. • It is fully wireless technology. HARDWARE REQUIREMENT:- • RASPBERRY PI • PC • POWER SUPPLY • CAMERA • RELAY • BUZZER • RFID& TAG • DC MOTOR SOFTWARE REQUIREMENT:- • RASPION OS • PYTHON
IEEE 2017 JAVA PROJECTS ABSTRACT: SNC: A CLOUD SERVICE PLATFORM FOR SYMBOLIC-NUMERIC COMPUTATION USING JUST-IN-TIME COMPILATION ABSTRACT:- Cloud services have been widely employed in IT industry and scientific research. By using Cloud services users can move computing tasks and data away from local computers to remote datacenters. By accessing Internet-based services over lightweight and mobile devices, users deploy diversified Cloud applications on powerful machines. The key drivers towards this paradigm for the scientific computing field include the substantial computing capacity, on-demand provisioning and cross-platform interoperability. To fully harness the Cloud services for scientific computing, however, we need to design an application-specific platform to help the users efficiently migrate their applications. In this, we propose a Cloud service platform for symbolic-numeric computation– SNC. SNC allows the Cloud users to describe tasks as symbolic expressions through C/C++, Python, Java APIs and SNC script. Just-In-Time (JIT) compilation through using LLVM/JVM is used to compile the user code to the machine code. We implemented the SNC design and tested a wide range of symbolic-numeric computation applications (including nonlinear minimization, Monte Carlo integration, finite element assembly and multi body dynamics) on several popular cloud platforms (including the Google Compute Engine, Amazon EC2, Microsoft Azure, Rack space, HP Helion and VMW are vCloud). These results demonstrate that our approach can work across multiple cloud platforms, support different languages and significantly improve the performance of symbolic-numeric computation using cloud platforms. This offered a way to stimulate the need for using the cloud computing for the symbolic-numeric computation in the field of scientific research.
IEEE 2017 - 2018 CLOUD COMPUTING PROJECT TITLES Stochastic Resource Provisioning for Containerized Multi-Tier Web Services in Clouds Abstract— Under today’s bursty web traffic, the fine-grained per-container control promises more efficient resource provisioning for web services and better resource utilization in cloud data centers. In this paper, we present Two-stage Stochastic Programming Resource Allocator (2SPRA). It optimizes resource provisioning for containerized n-tier web services in accordance with fluctuations of incoming workload to accommodate predefined SLOs on response latency. In particular, 2SPRA is capable of minimizing resource over-provisioning by addressing dynamics of web traffic as workload uncertainty in a native stochastic optimization model. Using special-purpose OpenOpt optimization framework, we fully implement 2SPRA in Python and evaluate it against three other existing allocation schemes, in a Docker-based CoreOS Linux VMs on Amazon EC2. We generate workloads based on four real-world web traces of various traffic variations: AOL, WorldCup98, ClarkNet, and NASA. Our experimental results demonstrate that 2SPRA achieves the minimum resource over-provisioning outperforming other schemes. In particular, 2SPRA allocates only 6.16% more than application’s actual demand on average and at most 7.75% in the worst case. It achieves 3 further reduction in total resources provisioned compared to other schemes delivering overall cost-savings of 53.6% on average and up to 66.8%. Furthermore, 2SPRA demonstrates consistency in its provisioning decisions and robust responsiveness against workload fluctuations. CONTACT: GANESAN.P 8903410319 9865862045
IEEE 2018 – 19 PYTHON PROJECT TITLES S.NO PROJECT TITLES 1. Application of Text Classification and Clustering of Twitter Data for Business Analytics 2. Text Mining Based on Tax Comments as Big Data Analysis Using SVM and Feature Selection 3. Research on Kano Model Based on Online Comment Data Mining 4. Visual Analysis of Spatio-temporal Distribution and Retweet Relation in Weibo Event 5. Comments Mining With TF-IDF: The Inherent Bias and Its Removal 6. Discovering Program Topoi via Hierarchical Agglomerative Clustering 7. Diggit: Automated Code Review via Software Repository Mining 8. Theme-Related Keyword Extraction from Free Text Descriptions of Image Contents forTagging 9. Extraction Algorithm of English Text Summarization for English Teaching 10. Sentence Vector Model Based on Implicit Word Vector Expression 11. Smart Trailer : Automatic generation of movie trailer using only subtitles 12. A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs 13. Traffic Sign detection using Fuzzy neural networks 14. Application of data mining methods in diabetes prediction 15. An Analytic Gabor Feedforward Network for Single-sample and Pose-invariant Face Recognition
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