MODELING STATISTICALLY SIGNIFICANT PROPENSITY CONTROLS

A mechanism for modeling statistically significant propensity controls in survey lift studies is disclosed. The proposed mechanism establishes a statistically significant control model for organic viewers in order to measure attitudinal shifts and lift from the viewing population. On a high level, audience overlap is measured to find channels that are similar to the channels in an organic video campaign. Active subscribers of the identified similar channels are then used as the non-exposed group, after filtering out those who watched the organic videos. The resulting channels that share viewer audiences are filtered by channel topicality (e.g., electronics reviews, beauty tips, etc.) and channel size (subscribers within a standard deviation). Viewers are filtered by demographic, technographic and psychographic traits to align with that of the exposed groups

Sensor Based Auditory And Haptic Guidance System

A system and method are disclosed that use data provided by a mobile device equipped with sensors to guide a human or machine along a vector path through sensory feedback. The system uses motion and depth sensor information and object recognition to create models of an interior space, which facilitate movement for a person who has never been inside a space before, and to use those models for navigation. The method utilizes interior space maps to identify safe vectors. A realtime algorithm compares the user’s location and direction of movement with the desired path in the model, providing a measure of the deviation. It then plays an auditory and/or haptic signal that focuses the user’s attention to follow a safe path in response to the deviation. Using realtime object recognition sensor data allows the detection of spatial obstacles that are otherwise difficult to navigate using traditional solutions for aiding the visually impaired

Natural Language Video Processing (Machine Learning-based Identification, Search, Extraction)

The systems and methods described herein provide for a natural-language to generative video process using language-classification and knowledge graph identifiers to find frame segments within a codex of videos that depict the scene described. The mechanics necessary for converting speech to meaningful entities that can be matched to non-text images/videos serve as an underlying basis for generative video

Predicting Content Views Using Finite Integrals

Video hosting and sharing services enable creators and advertisers to create campaigns that engage viewers. To price the advertisements, and to give advertisers on the campaign an idea of the popularity of the content, the viewership is predicted. Both under- and over-prediction of views are associated with penalties, respectively of wasted inventory and capacity crunches. View estimations based on channel average suffer from sample bias and invisible trends. This disclosure describes techniques of in-flight view prediction, e.g., predictions of views done after the launch of a campaign for the remaining days of a campaign. The predictions of the total views on a line-up of in-flight videos are based on the distributions of prior view history. The described predictor delivers continuously improving predictions for live videos, and enables determination of whether a campaign is meeting view goals. It thereby enables real-time fine-tuning of inventory and capacity for the remaining days of the campaign

Dynamic Media Unit Switching Between Different Media Types Based On Loading State And User Interaction

A data processing system can generate multimedia units for display with information resources on client devices that allow dynamic adjustment of media content, for example, based on client device capabilities, user\u27s browsing behavior and actions, loading state of the media content, or a combination thereof. Each multimedia unit can include a thumbnail image, a first link to a first video sequence, a second link to a second video sequence, and a software module (e.g., controller) for controlling display of the image thumbnail and content associated with the first and second video sequences

Improved functionalization of oleic acid-coated iron oxide nanoparticles for biomedical applications

Superparamagnetic iron oxide nanoparticles can providemultiple benefits for biomedical applications in aqueous environments such asmagnetic separation or magnetic resonance imaging. To increase the colloidal stability and allow subsequent reactions, the introduction of hydrophilic functional groups onto the particles’ surface is essential. During this process, the original coating is exchanged by preferably covalently bonded ligands such as trialkoxysilanes. The duration of the silane exchange reaction, which commonly takes more than 24 h, is an important drawback for this approach. In this paper, we present a novel method, which introduces ultrasonication as an energy source to dramatically accelerate this process, resulting in high-quality waterdispersible nanoparticles around 10 nmin size. To prove the generic character, different functional groups were introduced on the surface including polyethylene glycol chains, carboxylic acid, amine, and thiol groups. Their colloidal stability in various aqueous buffer solutions as well as human plasma and serum was investigated to allow implementation in biomedical and sensing applications.status: publishe

Dynamic Control of Radiative Surface Properties with Origami-Inspired Design

Thermal management systems for space equipment commonly use static solutions that do not adapt to environmental changes. Dynamic control of radiative surface properties is one way to respond to environmental changes and to increase the capabilities of spacecraft thermal management systems. This paper documents an investigation of the extent to which origami-inspired surfaces may be used to control the apparent absorptivity of a reflective material. Models relating the apparent absorptivity of a radiation shield to time-dependent surface temperatures are presented. Results show that the apparent absorptivity increases with increasing fold density and indicate that origami-inspired designs may be used to control the apparent radiative properties of surfaces in thermal management systems