A request to render content associated with a first super distributed content file is detected by a content rendering device. At least one portion of the content associated with the first super distributed content file is determined to be missing from the first super distributed content file. A second file including the at least one portion of the content missing from the first super distributed content file is obtained from a server. The at least one portion of the content of the second file includes partial encrypted portions of the content associated with an encryption system of the content rendering device. A content output stream including decrypted partial encrypted portions of the content of the second file and the content associated with the first super distributed content file is generated. This abstract is not to be considered limiting, since other embodiments may deviate from the features described in this abstract.

A system and method for combining power from DC power sources. Each power source is coupled to a converter. Each converter converts input power to output power by monitoring and maintaining the input power at a maximum power point. Substantially all input power is converted to the output power, and the controlling is performed by allowing output voltage of the converter to vary. The converters are coupled in series. An inverter is connected in parallel with the series connection of the converters and inverts a DC input to the inverter from the converters into an AC output. The inverter maintains the voltage at the inverter input at a desirable voltage by varying the amount of the series current drawn from the converters. The series current and the output power of the converters, determine the output voltage at each converter.

Implementing a layered hyperbolic metamaterial in a vertical cavity surface emitting laser (VCSEL) to improve thermal conductivity and thermal dissipation thereby stabilizing optical performance. Improvement in the thermal management and power is expected by replacing the distributed Bragg reflector (DBR) mirrors in the VCSEL. The layered metamaterial structure performs the dual function of the DBR and the heat spreader at the same time.

A third-order distributed feedback laser has an active medium disposed on a substrate as a linear array of segments having a series of periodically spaced interstices therebetween and a first conductive layer disposed on a surface of the active medium on each of the segments and along a strip from each of the segments to a conductive electrical contact pad for application of current along a path including the active medium. Upon application of a current through the active medium, the active medium functions as an optical waveguide, and there is established an alternating electric field, at a THz frequency, both in the active medium and emerging from the interstices. Spacing of adjacent segments is approximately half of a wavelength of the THz frequency in free space or an odd integral multiple thereof, so that the linear array has a coherence length greater than the length of the linear array.

A device is provided to shape a spine of a book casing positioned horizontally spread out flat and oriented to be distributed evenly over a spine of a book block. Two fold-shaping rails are arranged extending in a direction parallel to one another. A movable, shaping tool is arranged to face the inside of the book casing spine to shape a web on the book casing spine with the aid of the two fold-shaping rails. The shaping tool includes two spaced-apart support bars that extend parallel to the fold-shaping rails and are arranged to be adjustable so that together they adjust the web width of the book casing spine in a direction transverse to the direction of extension of the fold-shaping rails.

A cognitive disorder diagnostic system that employs cognitive cubes, gameplay associate with the cognitive cubes, and a data gathering as statistical analysis base device that may be a computer, that communicates the gathered data to a web server host according to a unique ID associated with particular cognitive cubes and further associated with a particular player. Using the statistical data gathered using the gameplay, various cognitive disorders may be successfully diagnosed and treated with higher reliability.

A burner box includes a housing, a fuel tube and a porous heat dissipating surface. The housing is bounded by a sidewall and has a top and an opposite bottom that are each open so that the sidewall defines an open passage that allows unimpeded vertical airflow. The fuel tube extends into the passage and defines a plurality of spaced apart orifices that distribute fuel into the open passage. The fuel tube is at a distance from the top of the housing so that substantially all of the fuel is entrained by the combustion air before the fuel reaches the top. The heat dissipating surface is disposed across the top of the housing and supports a flame. The heat dissipating surface includes enough open area so that the fuel/air mixture passes through the porous heat dissipating surface unimpeded. The heat dissipating surface dissipates heat from the flame and prevents flashback.

A distributed power (DP) control system is contained within a non-freight carrying intermodal container for communicating with and receive instructions and/or commands from a command system of a lead distributed power locomotive within a train. The container is configured to be provided on a car adjacent to a remote non-distributed powered (non-DP) locomotive provided within a length of the train. One or more connection hoses connect the distributed power control system within the container to the non-DP locomotive to control application of at least its brake system.

The system provides a method and apparatus for the dynamic distribution, deployment, and configuration of optimizable code modules for use with software workflows running on a single compute device or across a network connected grid of compute devices. The system comprises one or more collections of software and data modules stored in a content catalog, conforming to a defined interface, and having metadata conforming to a schema that enables the modules to be statically or dynamically optimized by the controlling workflow and a workflow manager. The system provides a service that enables code modules to be located, deployed, configured, and updated by the controlling workflow, the workflow manager, or a remote manager.

A system for a distributed repository includes an input interface and a processor. The input interface is to receive a request to change a portion of code. The processor is to determine a change reference and an existing reference, indicate to lock one or more repositories, determine whether swapping references is approved by a vote, and in the event that swapping references is approved by a vote, swap the references and indicate to unlock the one or more repositories.

This disclosure describes methods, devices, and systems related to an OFDMA Distributed Channel Access. Devices are disclosed comprising: at least one processor; and at least one memory that stores computer-executable instructions, wherein the at least one processor is configured to access the at least one memory and execute the computer-executable instructions to identify a trigger frame received on the communication channel from the computing device. The at least one processor may determine an uplink frame to be sent to a computing device on a communication channel. The at least one processor may identify one or more random access resource allocations, wherein the one or more random access resource allocations are associated with the trigger frame. The at least one processor may assign a respective numerical value to each of the one or more random access resource allocations. The at least one processor may also select a numerical value based at least in part on a probability distribution. The at least one processor may also determine a particular resource allocation of the one or more random access resource allocations that corresponds to the numerical value. The at least one processor may also cause the uplink frame to be sent to the computing device using the particular resource allocation.

A technique for emulating virtual port control of airtime fairness for wireless stations using per station Enhanced Distributed Channel Access (EDCA) parameters. Specific parameters are received for each of a plurality of stations connected to the access point. An EDCA field of a beacon that stores a general EDCA parameter is set to an empty state. The beacon is broadcast to a plurality stations on the wireless communication network and within range of an access point. The beacon comprises a BSSID (Basic Service Set Identifier) for use by the plurality of stations to connect with the access point for access to the wireless communication network. The beacon also comprises an empty EDCA field. In response to broadcasting the empty EDCA parameter, receiving a direct inquiry from each of the plurality of stations for the general EDCA parameter. Each of the plurality of stations is responded to with a direct communication of a specific parameter corresponding to each station. A transmission is received from at least one of the stations complying with the specific parameter.

A data conversion system for a vehicle includes an interface gateway device that is configured to be communicatively coupled with a data acquisition module and a client module. The data acquisition module obtains a value of a data parameter related to operation of the vehicle and communicates the value to the interface gateway device in a first message provided in a first format. The interface gateway device is configured to convert the first format of the first message into a different, second format to form a second message and to communicate the second message to the client module. The client module uses the second message to perform a function for the vehicle.

A system includes an optical fiber and an interrogator to provide source light to the optical fiber. The system also includes a receiver coupled to the optical fiber. The receiver includes at least one fiber optic coupler that receives backscattered light and that produces optical interferometry signals from the backscattered light. The receiver also includes photo-detectors that produce an electrical signal for each of said optical interferometry signals. The system also includes at least one digitizer that digitizes the electrical signals. The system also includes at least one processing unit that calculates I/Q data from the digitized electrical signals, corrects the I/Q data based on ellipse fitting, determines phase values based on the corrected I/Q data, and determines distributed sensing parameter values based on the phase values.

A distributed power harvesting system including multiple direct current (DC) power sources with respective DC outputs adapted for interconnection into a interconnected DC power source output. A converter includes input terminals adapted for coupling to the interconnected DC power source output. A circuit loop sets the voltage and current at the input terminals of the converter according to predetermined criteria. A power conversion portion converts the power received at the input terminals to an output power at the output terminals. A power supplier is coupled to the output terminals. The power supplier includes a control part for maintaining the input to the power supplier at a predetermined value. The control part maintains the input voltage and/or input current to the power supplier at a predetermined value.

Embodiments described herein generally relate to phased array antenna systems or packages and techniques of making and using the systems and packages. A phased array antenna package may include a distributed phased array antenna comprising (1) a plurality of antenna sub-arrays, which may each include a plurality of antennas, (2) a plurality of Radio Frequency Dies (RFDs), each of the RFDs located proximate and electrically coupled by a trace of a plurality of traces to a corresponding antenna sub-array of the plurality of antenna sub-arrays, and (3) wherein each trace of the plurality of traces configured to electrically couple an antenna of the plurality of antennas to the RFD located proximate the antenna, wherein each trace of the plurality of traces is configured to transmit millimeter wave (mm-wave) radio signals, and wherein the plurality of traces are each of a substantially uniform length.

Acquiring seismic data using time-distributed sources and converting the acquired data into impulsive data using a multiple-frequency approach. The methods are performed in frequency-source location domain, frequency-wavenumber domain, or frequency-slowness domain. The methods are applicable to single source acquisition or simultaneous source acquisition.

The present invention is to provide a chassis switch, which comprises a chassis for accommodating a designated number of line cards therein; a backplane installed on the back side of the chassis and having a plurality of connectors disposed thereon; at least one line card plugged into one of the connectors corresponding thereto via a front side of the chassis and each having an access switch chip adapted to switch local network signals and an interconnect switch chip adapted to switch the signals between ports of the at least one line card; and a loop adapted to connect the corresponding ports of the access switch chip and the interconnect switch chip respectively through the connectors, so as to enable each line card plugged into the chassis switch to perform a local network switching function and a switching function between the at least one line card.

A gas turbine engine system and method of operating gas turbine engines are provided. The gas turbine engine assembly includes a gas turbine engine includes a power shaft configured to rotate about an axis of rotation. The gas turbine engine assembly also includes a first fan and a second fan coupled to the power shaft coaxially with the gas turbine engine. The gas turbine engine assembly also includes a first fan duct configured to direct a first stream of air to the first fan. The gas turbine engine assembly also includes a second fan duct configured to direct a second stream of air to the second fan. The gas turbine engine assembly also includes an exhaust duct configured to direct a stream of exhaust gases of the gas turbine engine in a direction of the axis of rotation.

The company said its plant at Sanand in Gujarat which originally manufactures skincare products for the India market has begun production of alcohol-based hand sanitisers, and it will be shifting part of its production towards the making of sanitisers at the plant.

Regional airline Rex is threatening to cut services on its Sydney-to-Dubbo and has sent a scathing letter to Dubbo households criticising their local council.

Nearly $14 Million In Undistributed Royalties Has Been Found By Music-focused Finance Firm Sound Royalties

Node.js is used by many companies for building performant backend services without sacrificing developer efficiency. In this hands-on guide, author Thomas Hunter II proves that Node.js is just as capable as traditional enterprise platforms for building services that are observable, scalable, and resilient. Intermediate to advanced Node.js developers will find themselves integrating application code with a breadth of tooling from each layer of a modern service stack.

Calcutta, India : Cleanair, Campaign for Smoke-free Environment, [198-?]

Feature screening is a powerful tool in processing high-dimensional data. When the sample size N and the number of features p are both large, the implementation of classic screening methods can be numerically challenging. In this paper, we propose a distributed screening framework for big data setup. In the spirit of 'divide-and-conquer', the proposed framework expresses a correlation measure as a function of several component parameters, each of which can be distributively estimated using a natural U-statistic from data segments. With the component estimates aggregated, we obtain a final correlation estimate that can be readily used for screening features. This framework enables distributed storage and parallel computing and thus is computationally attractive. Due to the unbiased distributive estimation of the component parameters, the final aggregated estimate achieves a high accuracy that is insensitive to the number of data segments m. Under mild conditions, we show that the aggregated correlation estimator is as efficient as the centralized estimator in terms of the probability convergence bound and the mean squared error rate; the corresponding screening procedure enjoys sure screening property for a wide range of correlation measures. The promising performances of the new method are supported by extensive numerical examples.

We propose graph-dependent implicit regularisation strategies for synchronised distributed stochastic subgradient descent (Distributed SGD) for convex problems in multi-agent learning. Under the standard assumptions of convexity, Lipschitz continuity, and smoothness, we establish statistical learning rates that retain, up to logarithmic terms, single-machine serial statistical guarantees through implicit regularisation (step size tuning and early stopping) with appropriate dependence on the graph topology. Our approach avoids the need for explicit regularisation in decentralised learning problems, such as adding constraints to the empirical risk minimisation rule. Particularly for distributed methods, the use of implicit regularisation allows the algorithm to remain simple, without projections or dual methods. To prove our results, we establish graph-independent generalisation bounds for Distributed SGD that match the single-machine serial SGD setting (using algorithmic stability), and we establish graph-dependent optimisation bounds that are of independent interest. We present numerical experiments to show that the qualitative nature of the upper bounds we derive can be representative of real behaviours.

In many areas, practitioners need to analyze large data sets that challenge conventional single-machine computing. To scale up data analysis, distributed and parallel computing approaches are increasingly needed. Here we study a fundamental and highly important problem in this area: How to do ridge regression in a distributed computing environment? Ridge regression is an extremely popular method for supervised learning, and has several optimality properties, thus it is important to study. We study one-shot methods that construct weighted combinations of ridge regression estimators computed on each machine. By analyzing the mean squared error in a high-dimensional random-effects model where each predictor has a small effect, we discover several new phenomena. Infinite-worker limit: The distributed estimator works well for very large numbers of machines, a phenomenon we call 'infinite-worker limit'. Optimal weights: The optimal weights for combining local estimators sum to more than unity, due to the downward bias of ridge. Thus, all averaging methods are suboptimal. We also propose a new Weighted ONe-shot DistributEd Ridge regression algorithm (WONDER). We test WONDER in simulation studies and using the Million Song Dataset as an example. There it can save at least 100x in computation time, while nearly preserving test accuracy.

When the data is distributed across multiple servers, lowering the communication cost between the servers (or workers) while solving the distributed learning problem is an important problem and is the focus of this paper. In particular, we propose a fast, and communication-efficient decentralized framework to solve the distributed machine learning (DML) problem. The proposed algorithm, Group Alternating Direction Method of Multipliers (GADMM) is based on the Alternating Direction Method of Multipliers (ADMM) framework. The key novelty in GADMM is that it solves the problem in a decentralized topology where at most half of the workers are competing for the limited communication resources at any given time. Moreover, each worker exchanges the locally trained model only with two neighboring workers, thereby training a global model with a lower amount of communication overhead in each exchange. We prove that GADMM converges to the optimal solution for convex loss functions, and numerically show that it converges faster and more communication-efficient than the state-of-the-art communication-efficient algorithms such as the Lazily Aggregated Gradient (LAG) and dual averaging, in linear and logistic regression tasks on synthetic and real datasets. Furthermore, we propose Dynamic GADMM (D-GADMM), a variant of GADMM, and prove its convergence under the time-varying network topology of the workers.

Jianqing Fan, Dong Wang, Kaizheng Wang, Ziwei Zhu.

Source: The Annals of Statistics, Volume 47, Number 6, 3009--3031.

Abstract:
Principal component analysis (PCA) is fundamental to statistical machine learning. It extracts latent principal factors that contribute to the most variation of the data. When data are stored across multiple machines, however, communication cost can prohibit the computation of PCA in a central location and distributed algorithms for PCA are thus needed. This paper proposes and studies a distributed PCA algorithm: each node machine computes the top $K$ eigenvectors and transmits them to the central server; the central server then aggregates the information from all the node machines and conducts a PCA based on the aggregated information. We investigate the bias and variance for the resulting distributed estimator of the top $K$ eigenvectors. In particular, we show that for distributions with symmetric innovation, the empirical top eigenspaces are unbiased, and hence the distributed PCA is “unbiased.” We derive the rate of convergence for distributed PCA estimators, which depends explicitly on the effective rank of covariance, eigengap, and the number of machines. We show that when the number of machines is not unreasonably large, the distributed PCA performs as well as the whole sample PCA, even without full access of whole data. The theoretical results are verified by an extensive simulation study. We also extend our analysis to the heterogeneous case where the population covariance matrices are different across local machines but share similar top eigenstructures.

A Special Purpose Machine, which is intended to perform a specific task, have a wide range of scope in the Industrial Applications like quantity packaging and bottle filling. It includes limit switches, sensors, logic controls where the process can be

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DA-WIN, a wireless IDS, provides an organization a continuous wireless scanning capability that is light touch and simple. It utilizes compact and discreet sensors that can easily be deployed reducing the total cost of protection and simplifying the effort required for absolute, categoric regulatory compliance. This archive includes a dd image to be used on a Raspberry Pi and a user manual.

DA-WIN, a wireless IDS, provides an organization a continuous wireless scanning capability that is light touch and simple. It utilizes compact and discreet sensors that can easily be deployed reducing the total cost of protection and simplifying the effort required for absolute, categoric regulatory compliance. This archive includes a dd image to be used on a Raspberry Pi and a user manual.

Germany-based clean-energy fund Hep Kapitalverwaltung AG agreed to invest $50 million to $80 million annually in a partnership to develop small solar projects in the U.S.

California, long a progressive leader on renewable energy and climate change mitigation, has neglected a key market segment for renewable energy: the “community-scale,” or “wholesale distributed generation” (DG), market. This market segment is defined as projects below 20 megawatts that connect to the distribution grid and export power to the grid for sale.

The round was led by Ecosystem Integrity Fund with participation from Equinor Energy Ventures and Evergy Ventures

The round was led by Ecosystem Integrity Fund with participation from Equinor Energy Ventures and Evergy Ventures

The UK could meet a significant slice of carbon emissions’ target if it more widely deployed distributed energy technologies.

Bloated by debt, bled by corruption and battered by structurally declining sales, South African power utility Eskom Holdings SOC Ltd. is facing what’s known in the industry as a “death spiral.”

Investment in the UK’s distributed power generation market will witness a significant decline from almost $2.5 billion in 2013 to $939 million by 2019, according to new analysis.

In a previous article, I had a conversation with former-CIA chief Jim Woolsey to discuss one of America’s greatest national security vulnerabilities, its power grid. The issues that Woolsey has been concerned with for over a decade has been the ease in which a terrorist group or other actor (think North Korea for example) could attack the grid and plunge the country into darkness for months, if not years. And if that seems far-fetched, just recall how a tree limb fell in Ohio in 2003 and blacked out the entire Northeast and part of Canada for several days.

TAKHTBHAI: Food packages were distributed among 100 deserving families at the Government Girls Degree College here on Friday while ensuring social distancing.Additional Deputy Commissioner Mardan Nek Mohammad Khan was the chief guest. The people receiving the food showed discipline and did not...

The Severn Barrage could create 50,000 jobs and provide 5% of the UK's electricity needs. Critics say we can do better than that.

It is not just a choice between tall and sprawl.

The FDA has approved Moderna's coronavirus vaccine candidate for a phase 2 trial, something the company calls a crucial step in its timeline. Moderna CEO Stephane Bancel joins "Squawk Box" to discuss.

As Joaquín 'El Chapo' Guzmán spends the rest of his life in the most secure prison in the United States, he has a wish: giving all of his massive wealth to the indigenous people of Mexico.

Cham, Switzerland : Springer, 2019.

Cham : Springer, c2019.

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