96 research outputs found

    Multi Stream Video Display With Automatic Prominence Switching

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    Viewing or managing multiple video streams, e.g., live streams from a video game, on a mobile device with a relatively small display can lead to fatigue. This disclosure describes a multi-screen mode for live streaming applications that include multiple video streams in which one of the streams is automatically selected and made prominent, e.g., displayed at a larger size relative to the other streams. Automatic stream selection can be based, e.g., on the relative amounts of video or audio activity in each stream

    SYSTEM FOR RECOMMENDING CHAPTER SUMMARIES AND RELATED CONTENTS BASED ON USER INTEREST LEVEL

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    This application discloses a system and method for recommending chapter summaries and related content based on user\u27s interest level while reading electronic books. The system includes an application residing on an electronic tablet, mobile telephone or any other device used for reading. The system automatically determines if a chapter of the book is uninteresting to a user and saves time by showing summaries and additional content relevant to the chapter of the book

    Adaptive Critic Based Neurocontroller for Autolanding of Aircraft with Varying Glideslopes

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    In this paper, adaptive critic based neural networks have been used to design a controller for a benchmark problem in aircraft autolanding. The adaptive critic control methodology comprises successive adaptations of two neural networks, namely `action\u27 and `critic\u27 networks until closed loop optimal control is achieved. The autolanding problem deals with longitudinal dynamics of an aircraft which is to be landed in a specified touchdown region in the presence of wind disturbances and gusts using elevator deflection as the control for glideslope and flare modes. The performance of the neurocontroller is compared to that of a conventional PID controller. Neurocontroller\u27s capabilities are further explored by making it more generic and versatile in the sense that the glideslope angle can be changed at will during the landing process. Flight paths (trajectories) obtained for a wide range of glideslope angles in presence of wind gusts are compared with the optimal flight paths which are obtained by solving the linear quadratic regulator formulation using conventional optimal control theor

    Scheduling Automatic Pickup by Self-driving Cars

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    This disclosure includes techniques to automatically schedule pickups by self-driving cars. The techniques utilize data about a user such as the user’s location, payments, calendar, to-do list etc. An example technique uses data from commercial establishments (e.g., payments systems), and self-driving cars to determine a location and a time at which the user needs to be picked up. A self-driving car system schedules a self-driving car to pick up the user at the specific location and time. The techniques described may be implemented in selfdriving cars, a central server system, user mobile devices, client devices, or different combinations of these systems and devices

    Advanced Dialer Based On Target Contact\u27s Activity

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    An advanced dialer system prioritizes modes of communication based on a target contact’s activity. The system, upon authorization by the user or target contact to access the user’s contacts, receives a selection of a target contact and checks the target contact’s activity status on all possible communication platforms. These communication platforms may include messaging applications using internet connectivity, traditional voice calling applications, video chat applications, etc. The system may further check the target contact’s network connectivity and feasibility of connection. The advanced dialer system calculates feasibility score for different communication platforms to reach the target contact. The system also ranks these communication platforms based on the calculated feasibility scores. The user may select the communication platform with the highest score/highest rank and communicate with the target contact. If the target contact is not reachable, the user may select the next highest ranked communication platform. The system automatically displays more likely dialing modes to the user, enabling easier communication

    Results of sagittaly unstable intertrochanteric fractures managed by dual reduction technique

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    Background: We evaluated the functional and radiological outcome of sagittally unstable intertrochanteric fractures reduced by dual technique consisting of a crutch placed posteriorly over distal fragment and pushing the flexed proximal fragment by ramrod anteriorly over a period of 12 months.Methods: A fracture was defined as sagittally unstable intertrochanteric fracture when posterior sagging of distal fragment and flexion of proximal fragment worsens after routine maneuvers for closed reduction. Out of the 80 intertrochanteric fractures treated from February 2018 to April 2019, 16 hips had sagittal instability and after reduction were treated with proximal femoral nail (Stryker Trauson) in some patients and DePuy Synthes proximal femoral nail PFNA in remaining patients. These 16 patients were followed up for a period of 1 year and functional and radiological outcome was noted.Results: Out of the 16 patients, 10 were males and 6 were females. The mean age was 68.2 years. According to the A.O classification out of the 16 patients, 7, 5 and 4 patients were classified as A1.3, A2.1, and A2.2 or more. The mean time from injury till surgery was 4.6 days. The mean surgical time was 45.8 minutes. The mean time for radiological union was 22.4 weeks. The mean pre injury activity level was 4.2 while the mean final activity level was 3.8 (1-5) according to modified Koval activity index.Conclusions: Anatomical reduction followed by rigid internal fixation is the key to success in intertrochanteric fractures.

    Laurence-Moon-Bardet-Biedl Syndrome: A Rare Case Report

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    Introduction: Laurence-Moon-Bardet-Biedl syndrome (LMBBS) is a rare autosomal-recessive disorder, which is characterized principally by cardinal symptoms of marked central obesity, retinal dystrophy, polydactyly, mental retardation, hypogonadism and renal dysfunction. Case presentation: We report a case of a 20-year-old male who presented to us with history of fever, vomiting and dizziness. He was incidentally diagnosed as a case of LMBBS as the patient was having polydactyly, retinitis pigmentosa, central obesity, hypogonadism and low IQ. Conclusion: Laurence-Moon-Bardet-Biedl syndrome is a very rare syndrome with very low incidence; hence, we are reporting this case. In addition, we advice more diligent approach from various specialties, so that this syndrome can be picked up at an early age

    Subcellular localization for Gram Positive and Gram Negative Bacterial Proteins using Linear Interpolation Smoothing Model

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    Protein subcellular localization is an important topic in proteomics since it is related to a proteins overall function, help in the understanding of metabolic pathways, and in drug design and discovery. In this paper, a basic approximation technique from natural language processing called the linear interpolation smoothing model is applied for predicting protein subcellular localizations. The proposed approach extracts features from syntactical information in protein sequences to build probabilistic profiles using dependency models, which are used in linear interpolation to determine how likely is a sequence to belong to a particular subcellular location. This technique builds a statistical model based on maximum likelihood. It is able to deal effectively with high dimensionality that hinder other traditional classifiers such as Support Vector Machines or k-Nearest Neighbours without sacrificing performance. This approach has been evaluated by predicting subcellular localizations of Gram positive and Gram negative bacterial proteins

    Influence of Terrain on Modern Tactical Combat: Trust-based Recommender System

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    In Army Services, there are a number of valuable decisions that have to be taken for mission accomplishment. These decisions are very important and the choice of a weapon may be able to alter the outcome of a battle decisively. Among several such decisions one is to decide which weapons to deploy/assign over a given terrain. Recommender systems are intelligent applications to assist users in a decision-making process where they want to choose one item amongst a potentially overwhelming set of alternative products or services. This paper proposes the design of recommender system that automates the process of finding the appropriate type of weapon(s) that can be deployed over a terrain having certain characteristics. The user agent seeks recommendations, which are in the form of intuitionistic fuzzy set (IFS), from trustworthy peers and produces aggregated order of recommendations taking degree of trust on recommenders into consideration. Trust on recommender is also updated based on importance of recommendation given to the user. A prototype of the trust-based recommender system for modern tactical combat system has been designed and developed through which the user can get the recommendation to use a specific kind of weapon or a set of weapons that would be best-suited in a given type of terrain.Defence Science Journal, 2010, 60(4), pp.405-411, DOI:http://dx.doi.org/10.14429/dsj.60.49
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