Samsung Electronics Co., Ltd.

Ajit Shyamsunder Bopardikar

Taejin Ahn

Srikanth Rama Mallavarapu

Kiran Nanjunda Iyer

Anirban Bhaduri

Satyajit Anand

Hariprasad Kannan

Garima Agarwal

Mayank Singh

Subhankar Mukherjee

Kausik Maiti

Devendra Purbiya

Mallavarapu Rama Srikanth

Ravi Dutt Singh

A method for enhancing a Quality of Experience (QoE) index, by a wearable device, for a user in an Internet of things (IoT) network comprising a plurality of IoT devices is provided. The method includes monitoring the QoE index of the user in the IoT network, detecting a drop in the QoE index of the user, determining whether the dropped QoE index is less than a QoE threshold, in response to determining that the dropped QoE index is less than the QoE threshold, determining at least one IoT device from the plurality of IoT devices that is responsible for the drop in the QoE index of the user using an Artificial intelligence (AI) model, and controlling the IoT device(s) to raise the QoE index of the user above the QoE threshold.

Method and wearable device for enhancing quality of experience index for user in IoT network

Provided are methods and devices for mutation prioritization, which are helpful in personalized therapy of a patient. Also, provided are methods and devices for generating a disease knowledgebase. Information present in various categories of knowledge sources with respect to a particular association of &#x3c;Disease, Gene, Mutation&#x3e; set may be identified. The identified information is ranked with respect to the disease knowledgebase to find out the most relevant ones for the treatment of a particular Disease/Gene/Mutation of a patient, thereby enabling medical experts to personalize a therapy to be administered to a patient.

Method and device for mutation prioritization for personalized therapy

Provided are a method and apparatus for generating a pileup file from a reference-based compression file. The method includes receiving a reference-based compression file comprising a plurality of pieces of read data that are compressed, partially decompressing the plurality of pieces of read data to acquire a differential string associated with the plurality of pieces of read data, and generating the pileup file by decoding the differential string based on a plurality of conversion rules.

Method and device for generating pileup file from compressed genomic data

Methods and devices for clustering a plurality of sub-networks of a larger interaction network using an enhanced hierarchical clustering algorithm are disclosed. The methods provide expression based sub-network generation using differentially expressed markers. The enhanced hierarchical clustering algorithm clusters the generated sub-networks based on a user defined customizable similarity coefficient. The methods use non-Boolean links to cluster similar sub-networks. This provides consideration of indirect relationships among sub-networks. The customizable similarity coefficient enables the methods to be used for diverse applications such as biomarker detection, patient stratification, personalized therapy, drug efficacy prediction, genetic similarity analysis in genetic diseases. The methods enable patient grouping based on the enhanced hierarchical clustering algorithm.

Methods and systems for customizable clustering of sub-networks for bioinformatics and health care applications

The present invention provides a method and system of generating multilayered point based 3D representation of a scene. The method includes constructing an alpha model of randomly selected regions associated with objects with similar depth value and depth jump in a depth map of a scene, and identifying mixed pixel regions associated with edges of the objects. The method further includes estimating color, depth and transparency values for pixels in each identified mixed pixel region using associated color information from an image map of the scene, associated depth value information from the depth map, and transparency information from the alpha model based on the associated depth information. The method includes generating a multi-layered point based 3D representation of the scene by organizing the estimated color, transparency, and depth values. Moreover, the method includes rendering 3D views of the scene using the multi-layered point based 3D representation of the scene.

Method and system for rendering three dimensional views of a scene

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Bengaluru, India

Ajit Shyamsunder Bopardikar