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Security, distributed networks, transparency, and immutability are all attractive aspects of blockchain that may help construct safe and dependable cyber physical systems. Because each use case has its own set of criteria, worries about the scalability, cost-effectiveness, and efficiency of blockchain-based systems have arisen. Because the total cost of ownership of blockchain systems is so costly, a feasibility study for small and medium-sized companies (SMEs) such as PFL is necessary to determine the blockchain's appropriateness for SMEs.</text>
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The product will be placed in the car that will read the carTMs diagnostic information such as acceleration, clutch, gear and braking. During the driving session, data from one or more sensors will be used to monitor driving test events. Each driving session and its related weights will be described in detail at these events. These weights are based on a rating system of the driving as well as the amount of time spent during driving. By delivering a driver feedback ranking, a driving session report will be generated.</text>
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The system in the present invention keeps the private data locally in smartphones, shares trained parameters and builds a global consensus model. The feasibility and usability of the proposed system are evaluated by three experiments and related discussion. The experimental results show that the distributed deep learning system can reconstruct the behavior of centralized training. We also measure the cumulative network traffic in different scenarios and show that the partial parameter sharing strategy does not only preserve the performance of the trained model but also can reduce network traffic.</text>
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The primary objective and the motto behind this invention of the device Kundanvar is for the safety of human beings during driving. It has been observed that many vehicles topple down due to the flat tire causing a huge devastation and a severe injury resulting in death of the pillion riders with regard to the two wheelers and with regard to the co-passengers in vehicles such as four wheelers, buses and trucks. [0002] As we all know vehicles travel at a huge speed in highways and any foreign particles like nuts, bolts, screws, nails entering the tire, may cause a huge devastation since the tire has heated up travelling for a long distance and a small particle entering will burst the tire causing a catastrophic injuries.</text>
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Trapping the houseflies in homes, restaurants and public places remain as a prerequisite to maintain hygiene. However identifying the houseflies and trapping them, especially in vast areas is a challenging task. In this invention we propose an intelligent robotic drone to sense the dynamic movement of houseflies and trap them. The drone is engineered with dragonfly-brain inspired neural network model. Dragonflies are considered to be 95% accurate in predicting and capturing the trajectory movements of their insect prey.</text>
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An amino acid based semiorganic nonlinear optical family single crystal of l-leucinium perchlorate (LLPCl) was grown by the solvent evaporation method at ambient temperature. Good optical quality single crystals up to a size of 6 mm — 5 mm — 3 mm were obtained. The single-crystal XRD analysis shows that the grown crystals have a monoclinic structure. Fourier transform infrared (FTIR) spectral analysis and UVvis spectral studies were also carried out. Micro hardness mechanical studies show that the hardness number (Hv) of a LLPCl single crystal decreases with the load as measured by the Vickers micro hardness method.</text>
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                <text>Sensor based intelligent digital nose to detect spoilage of food using machine learning /</text>
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                <text>Patent Number: 202141042368, Applicant:Dr.S.Balamurugan.&#13;
Detecting the spoilage of food is a challenging ang important task to be carried out in food processing industry. The food contamination may cause variety of diseases to human mankind including- diarrhoea, dysentery, and sometime may even to death of the individual. Proposed is an intelligent electronic nose, which is capable of diagnosing the food decay based on the foul smell evolved from the food material. The digital nose is composed of an array of metallic-oxide sensors which are capable of detecting the odours from the foods stored roughly more than a week. The sensor arrays are capable of detecting the odours and classifying the same into categories- pungent, alcoholic, fishy, cheesy, fermented, musty and bitter.</text>
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                <text>N, Arul Kumar.</text>
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                <text>&lt;a href="https://drive.google.com/file/d/1Df_gmoiWESmOpRhvPmHARs0t0wve4SKm/view" target="_blank" title="Sensor based intelligent digital nose to detect spoilage of food using machine learning /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1Df_gmoiWESmOpRhvPmHARs0t0wve4SKm/view&lt;/a&gt;</text>
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                <text>Intellectual Property India</text>
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