Watermark Decoding Technique using Machine Learning for Intellectual Property Protection

The Watermarking is an Intellectual Property (IP) Protection method. It can ensure Field-Programmable Gate Array (FPGA) IPs from encroachment. The IP security of equipment and programming structures is the most significant prerequisite for some FPGA licensed innovation merchants. Advanced watermarking has become a creative innovation for IP assurance as of late. This paper proposes the Publicly Verifiable Watermarking plan for licensed innovation insurance in FPGA structure. The Zero-Knowledge Verification Protocol and Data Matrix strategy are utilized in this watermarking location method. The time stepping is likewise utilized with the zero-information check convention and it can versatility oppose the delicate data spillage and implanting assaults, and is along these lines hearty to the cheating from the prover, verifier, or outsider. The encryption keys are additionally utilized with the information lattice technique and it can restrict the watermark, and make the watermark vigorous against assaults. In this proposed zero-information technique zero rate asset, timing and watermarking overhead can be accomplished. The proposed zero-information watermarking plan causes zero overhead. In this proposed information lattice technique signal-rich-workmanship code picture, can be portrayed. The proposed information network watermarking plan encodes the copyright confirmation data. The zero-information confirmation convention and information grid technique proposed in this paper is executed by MATLAB R2014a in which C programming language is utilized in it and ModelSim 10.5b in which VHDL coding is utilized in it, are running on a PC. The combination instrument Xilinx ISE 14.5 is likewise used to confirm and actualize the watermarking plan

A Review: Efficient Encrypted Searching and Traffic Reduction As Mobile Cloud Services

Documentation of information on the Cloud Computing run as fast as Cloud entirely in the world. Even so it carriage distress to partron. Unless the data are encrypted For hostage. Encrypted data should be energetically searchable and retrievable Without any concealment particularly for the cellphone user. Although modern Interdisciplinary studies has solved many distress , the architectonically can not be applied on cellphone directly under the cellphone cloud environment. This is due to the contradict charged by wireless networks, such as latency sensitivity ,Poor connectivity, and low transmission rates. due to this extend to a chronic search Time and extra network traffic value. When using the conventional search schemes. This paper solve these matter by providing an efficient encrypted data search Method as cellphone cloud service. This method include lightweight trapdoor (encrypted Keyword) differentiate method, which is optimization of data sending process by decreasing the trapdoors size for traffic efficiency. In this publication we also include two Optimization method for data search, known as the trapdoor mapping table module and Ranked serial binary search algorithm to quick the search time. So by using Efficient data search over mobile cloud it Decreases search time by 34% to 47% and also network traffic by 17% to 41%

Identify and Rectify the Distorted Fingerprints

Elastic distortion of fingerprints is the major causes for false non-match. While this cause disturbs all fingerprint recognition applications, it is especiallyrisk in negative recognition applications, such as watch list and deduplication applications. In such applications, malicious persons may consciously distort their fingerprints to hide identification. In this paper, we suggested novel algorithms to detect and rectify skin distortion based on a single fingerprint image. Distortion detection is displayed as a two-class categorization problem, for which the registered ridge orientation map and period map of a fingerprint are beneficial as the feature vector and a SVM classifier is trained to act the classification task. Distortion rectification (or equivalently distortion field estimation) is viewed as a regression complication, where the input is a distorted fingerprint and the output is the distortion field. To clarify this problem, a database (called reference database) of various distorted reference fingerprints and corresponding distortion fields is built in the offline stage, and then in the online stage, the closest neighbor of the input fingerprint is organized in the reference database and the corresponding distortion field is used to transform (Convert) the input fingerprint into a normal fingerprints. Promising results have been obtained on three databases having many distorted fingerprints, namely FVC2004 DB1, Tsinghua Distorted Fingerprint database, and the NIST SD27 latent fingerprint database

A SURVEY OF YOGA CURRICULUM AND TRANSACTION TECHNIQUES IN GOVERNMENT AND PRIVATE INSTITUTES IN MAHARASHTRA

Yoga is becoming increasingly popular among the youth population as a health intervention, physical education, and recreational activity. What constitutes yoga varies, as does what is taught and how it is taught. The objectives of this study were to examine yoga curricula to identify content, teaching strategies, and assessment; wellness dimensions addressed; whether national health and physical education standards have been met; implementation of loyalty management systems; and shared constructs between yoga and educational psycholog

Health Detector Android Application using IOT for Rural Area

Technology is being increasing rapidly day by day. Growing technology make user to use different devices and integrate all of them in one frame, so as to reduce implementation cost and increase functionality of module and that will be implemented. Health Detector application is a good platform to measure different health parameters via sensors. Integrating whole system with android will make it available and useful. Pulse rate sensor and ECG sensors are easily available with the moderate worth hence it is affordable to the end user. This system will be an elixir for the people who are living scurry life. Android platform help to add different functionalities like disease prediction on the basis of symptoms stored into SQLite database, calling ambulance on emergency mode, locating nearest hospitals, medicals and blood bank on an emergency mode via GPS sensors. Regular health check-ups like heartbeat, BMI is also provided

“Implementation on Distorted Fingerprints”

Flexible distortion of fingerprints is the main origin of false non-match. While this origin disturbs all fingerprint recognition applications, it is mainly risk in negative recognition applications, such as watch list duplication applications. In such things, malignant user mayconsciously distort their fingerprints to hide his originality or identification. This paper, suggested novel algorithms to identify and modify skin distortion based on a single fingerprint image. Distortion detection is displayed as a two-class categorization problem, for which the registered ridge orientation map and period map of a fingerprint are beneficial as the feature vector and a SVM classifier is trained to act the classification task. Distortion rectification (or equivalently distortion field estimation) is viewed as a regression complication, where provide the input as a distorted fingerprint and generate the output as distortion field. To clarify this Problem, offline and online stages are important. A database (called reference database) of various distorted reference fingerprints and corresponding distortion fields is built in the offline stage, and then in the online stage, the closest neighbor of the input fingerprint is organized in the reference database and the corresponding distortion field is used to transform (Convert) the input distorted fingerprint into a normal undistorted fingerprints

Maximum Voltage Decision Maker Circuit with Shift Register as a Robot

The article presents a concept of designing a maximum voltage decision making circuit supporting decision-making processes in selecting maximum voltage(out of many voltages) and further that voltage uses by multidirectional shift Register (acts as a Robot) to shift the value in different directions. The purpose of the system is to help in making decision to select maximum voltage by circuit itself (instead of manually by some human being) and further support to develop technique to shift bit value of voltage with provision of selection lines (robot concept based) in different directions based on requirements. Basic purposes and assumptions regarding the design and development of this system as well as a description of its operation have been presented

A Systematic Review On Treatment Of Hypertension

High blood stress is one of the most historic threat representatives for ischaemic heart complaint, stroke, different cardiovascular conditions, habitual order complaint and madness. Mean blood stress and the frequency of aired blood stress possess deselected mainly in High- profit areas since at least the 1970s. By discrepancy, blood stress has risen in East, South and Southeast Asia, Oceania and sub-Saharan Africa. presented these currents, the frequency of hypertension is right now advanced in low- profit and medium- profit nations than in High- profit nations. In 2015, an assessed8.5 million exits were attributable to systolic blood stress> 115mmHg, 88 of which were by low- profit and medium- profit nations. The application and authority of hypertension treatment differ mainly across nations. spanning up treatment content and perfecting its neighbourhood authority can mainly degrade the fitness burden of hypertension

Securing Healthcare: A Fusion of AI and Blockchain for Medical Data Protection

Today's digital environment places a high value on data, which includes intellectual property, private consumer information, and long-term corporate strategies. It is crucial to protect this priceless asset from the suspicious eyes of hackers. A complete strategy must be used to address the six major areas of governance, discovery, protection, compliance, detection, and reaction in order to accomplish comprehensive data security. The foundation for data security is laid by governance first and foremost, which calls for the creation of strong policies, data classification processes, an exhaustive list of all available data assets, and a sturdy infrastructure. The next crucial step in guaranteeing data safety is to identify the data's sources, whether they be databases, files, or network systems. Encryption, diligent key management, strict access control measures, and trustworthy data backup procedures must all be put into place in order to protect data efficiently from unauthorized access or breaches. A crucial aspect of compliance is the creation of accurate reports and the preservation of crucial documents. However, the modern cyberspace is a complicated maze of dispersed data, controlled by unrelated organizations lacking in mutual trust. It is difficult to enable safe data sharing and authentication over the internet due to this complex environment, especially when working with massive amounts of data and artificial intelligence systems. The combination of blockchain technology and artificial intelligence (AI) presents a strong solution to this problem. The effectiveness of using AI and blockchain to strengthen the security of medical data is examined in this article. We want to give end users a secure environment by utilizing these cutting-edge technologies, protecting the integrity and security of private medical data in a society that is becoming more linked

Analysis and Modeling of Human Body When Exposed to Automotive Vehicle

Vibration is one of the important considerations in design. Nowadays, almost every family has the car. So, it becomes most important to study the vehicle vibrations. Analysis of human body physical model experimentally when situated in automotive vehicle. The model fabrication is done on the basis of comparing real human body parameters with human physical models used in the ISO 10068:2012 standard. This article revealed effect of vibration transferring to the specific parts of human body due to vibration transferring from Seat to Height (STH) and from Hands on steering. The focus of the present study was to determine the vibration output from fabricated model. The vibrations as input to the model are from automotive vehicles. The input verses output vibration characteristics will be useful to study effects of vibration on human health. The human body is considered as a simple spring, mass, damper system for analysis. This multi body model representative of the automotive postures found in the literature were investigated, one with and the other without a backrest support. The model was modified to suitably represent the different automotive postures with and without backrest supports, and validated by various experimental data from the published literature pertaining to the same postural conditions on the basis of the analytical study and the experimental