Patent Number: 202211039578, Applicant: Dr. Mahesh Chandra Joshi.
Big firms have enough resources for various activities such as branding, market research, innovation, product development etc. which are very important for survival and growth of an organization. Small firms also wish to execute these activities but many times resource constraints refrain them form activities like market research which either requires inhouse research team or hiring of external agency for the task.
Patent Number: 202041038520, Applicant: Dr, E A Mary Anita.
The invention is directed to an loT based system for alerting the group of predetermined volunteers and officials located near the site of crime occurring to the end user. The system includes a manual activated push button switch for utilizing at times of distress occurring to the women which activation generates the alert signals to be transmitted wirelessly through the WiFi module to the central processing server.
Patent Number: 202141053609, Applicant: Soorya G Nath.
Monoclinic Y203 quantum dots were synthesized at low temperature using urea as the fuel. The sample preparation was done using simple laboratory hot air oven and the synthesis temperature was maintained at 90°C throughout the experiment. Prepared samples were characterized using x ray diffraction (XRD), Raman spectroscopy, high resolution transmission electron microscopy (HRTEM), UV- Vis absorption spectroscopy and photoluminescence (PL) Studies.
Patent Number: 202241037278, Applicant: Leena N Fukey.
A conveyor system designed to collect and deliver guest laundry is proposed with this innovation. The system comprises of two parts, an inbuilt chute inside the bathroom for the guest to drop their soiled clothing which is received at the laundry' room; and a chute from the laundry room to the guestroom’s closet for returning the laundered guest clothing. Thus, the human intervention involved in the process of guest laundry is greatly reduced.
Patent Number: 202241001377, Applicant: Keshavamurthy R.
HVOF sprayed Titanium Dioxide and Chlorium oxide coatings were developed by spraying the composition over aluminium dies used in Areca leaf plate manufacturing applications. The invention focuses on protecting the aluminium plate by using coating for enhancing theperformance for developing large scale areca leaf plates.
Patent Number: 202041006860, Applicant: Nabil Hossincy.
This device is conceived and will be developed with a primary objective to avoid head on collisions on curved undivided rural highways. Till date, device-to device communication and device-to-human communication as a complete mechanism to avoid head-on-collisions has never been devised. Even though, there are studies and inventions related to highway safety and roadway accident
mitigations.
Patent Number: 202111060922, Applicant: Shivani Chaudhry.
A smart attendance system (1). The system (1) comprises a smart lecture stand (2), which having an electronic unit (2A) which is connected to the other smart door, smart bench, and smart chair of the system; a smart bench (3), which having an electronic unit (3A), which is connected to the other smart door, smart stand, and smart chair of the system; a smart chair (4) comprises which having an electronic unit (4A); which is connected to the other smart door, smart bench, and smart stand of the system; a smart door (5) comprises a electronic unit (5A), which is connected to the other smart door, smart bench, and smart chair of the system.
Patent Number: 202231052415, Applicant: Dr. Rashel Sarkar.
When the issue of forecasting time series is mentioned, the reader, listener, or observer instantly considers forecasting stock prices. This should help individuals determine when to sell and when to purchase more. On occasion, we encounter resources that explain how this is possible. Throughout Deep Learning with Python, Chollet cautions against using time series prediction algorithms to estimate market values. You should not attempt to predict how the stock market will behave in the future based on past performance. Due to the design of the martingale system, the present price of a share of stock is the most accurate indicator of its future price (in terms of the error associated with estimation).
Patent Number: 202021055655, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for simulation of collision resistant secure sum protocol and method thereof. The present invention discloses a simulation apparatus, system and method thereof having a computation system conjugated with a processor and a Trusted Third Party (TTP) system provided on a computation server system, in which computing, by the Trusted Third Party (TTP) system having an initiator, and via the processor, for number of party, packets per party and anonymizers.
Patent Number: 202121003561, Applicant: Dr. Samiksha Shukla.
The present invention discloses a system for Secure Collaborative Computation and method thereof. The present invention discloses a computation system conjugated with a processor and, the processor is to: provide input data by one or more computer system using an input device and further recognizing the input data.
Patent Number: 202141013775, Applicant: Sanjana Theresa.
The present invention discloses a storage system in a computer network for data encryption and decryption using line graphs and method thereof. The system includes, but not limited to, a processing unit in a computer network that includes at least one hardware processor, the processing system configured to perform: to represent data as vertices in a graph; wherein each character is correspond to a vertex while all adjacent characters in the plaintext will be represented as adjacent vertices in the graph.
Patent Number: 202141024082, Applicant: Dr. Vaishali M Deshmukh.
The system includes, but not limited to, one or more processor provided in a computer network; and a memory disposed in communication with each of the processor and storing processor executable instructions, the instructions comprising instructions to: process varied datasets of Food items and various nutrient parameters of Food items with respect to their ratings by various food takers and while recommending for a patient or a target user.
Patent Number: 202141013775, Applicant: Sanjana Theresa.
The present invention discloses a storage system in a computer network for data encryption and decryption using line graphs and method thereof. The system includes, but not limited to, a processing unit in a computer network that includes at least one hardware processor, the processing system configured to perform.
Patent Number: 202121024080, Applicant: Solley Joseph.
The present invention discloses an apparatus for a predetermined language transliteration and method thereof. The system includes, but not limited to, a processing unit with one or more processors connected with one or more storage devices, and wherein the processing unit is to: acquire scripts or alphabets of the predetermined language through an OCR scanning unit or through any input device.
Patent Number: 202241004611, Applicant: Kapil Tiwari.
The present invention relates to probabilistic inference based on secure multi-party computation (SMPC) techniques, and more particularly to Confidential Inference and Model Protection. The present invention addresses the privacy concern of model owners and ML client, by using the confidential inference and model protection aka CoInMPro, a technique to boost privacy of model parameters and client input during ML inference without affecting accuracy by paying a marginal performance cost.
Patent Number: 202241057386, Application: Kapil Tiwari.
The present invention applies to probabilistic inference employing secure multi-party computation (SMPC) methodologies including confidential training, inference, and model protection for vertically partitioned datasets. The proposed invention addresses privacy
complexities of vertically partitioned data owners, model owners, and ML clients using confidential training, inference, and model protection (CoTraIn-VPD), a technique to boost data, model parameter, and client input privacy during ML inference without affecting accuracy or performance.
