We present below a sample dataset collected using our framework for synthetic data collection that is efficient in terms of time taken to collect and annotate data, and which makes use of free and open source software tools and 3D assets. Our approach provides a large number of systematic variations in synthetic image generation parameters. The approach is highly effective, resulting in a deep learning model with a top-1 accuracy of 72% on the ObjectNet data, which is a new state-of-the-art result.

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We have long known that the characterization of protein three-dimensional structure is key to obtaining a detailed understanding of protein function. Computational approaches to protein structure characterization have largely addressed a narrow formulation of the problem, where the goal is the determination of one structure, also known as the native structure, from a given protein amino-acid sequence. However, many researchers over the years have argued for broadening our view of proteins to account for the multiplicity of native structures.

Instructions: 

The .zip file contains 3 folders when unzipped. We provide the details of each folder below.

 

“monomorphic_benchmark_targets” folder: Contains 20 protein targets organized into 20 subfolders. Data for each protein is provided in a subfolder named with its pdb id. Each such subfolder contains the following 4 files.

  1. A .fasta file containing the amino-acid sequence of the protein.

  2. A .pdb file containing the native tertiary conformation coordinates. Detailed format for a .pdb file can be found in http://www.wwpdb.org/documentation/file-format

  3. A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/

  4. A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/

 

“monomorphic_casp_targets” folder: Contains 10 protein targets organized into 10 subfolders. Data for each protein is provided in a subfolder named with its casp id. Each such subfolder contains the following 4 files.

  1. A .fasta file containing the amino-acid sequence of the protein.

  2. A .pdb file containing the native tertiary conformation coordinates.

  3. A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/

  4. A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/

 

“metamorphic_benchmark_targets” folder: Contains 18 pairs of protein targets organized into 18 subfolders. Data for each target pair is provided in a subfolder named with its pair id (as indicated in the paper). Each such subfolder contains the following 5 files.

  1. A .fasta file containing the amino-acid sequence common to the pair of target proteins.

  2. A .pdb file containing the native tertiary conformation coordinates for the first target in the target pair.

  3. A .pdb file containing the native tertiary conformation coordinates for the second target in the target pair.

  4. A .frag3 file containing the fragments of length 3 for the protein sequence generated from http://old.robetta.org/

  5. A .frag9 file containing the fragments of length 9 for the protein sequence generated from http://old.robetta.org/

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The sound part is built into many products.

It is used not only in audio systems, but also in a wide range of industries such as home theaters, broadcast amplifier systems, TVs, computers, AI speakers, and game consoles.

Even now, many companies are making efforts to improve the sound quality of the acoustic part.

In the future, high sound quality will be required in many industrial fields.

A wide range of industries will require high-quality technology.

 

Instructions: 

This material contains registered patented technology.

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This dataset is used for arbitrary-orientation scene text detection, recognition and spotting.

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This dataset accompanies the paper titled CHASM: A Blockchain Software design pattern. It contains results of the performance tests on two different architectures, and the accompanying analytics source code that presents their comparison.

The .csv files are the result files. The .dta files are the stata equivalent, and the .do files are the Stata analysis files which analyses this dataset and outputs the .jpg images.

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These three datasets cover Western, Chinese and Japanese food used for food instance counting and segmentation evaluation.

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- When the material is supplemented, I will clean it up and repost it. -

 

A typical hearing aid can't be distinguished by mixing sounds in noisy places or in a multi-person voice environment.

This is due to the limited performance of the amplifier inside the hearing aid. This may be due to the lack of linearity of the amplifier, or because of transistor-specific characteristics.

By applying high-quality amplifier technology to these hearing aids, several sounds can be separated and listened well.

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1.       Folder “1.SlibCrypto 4DIAC project” includes 4DIAC (1.10.3) project that can be added into the workspace of 4DIAC. It contains the various standalone applications representing security mechanisms and the extended one shown in Fig. 5.

 

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Distributed coordination function (DCF) is an important technique of medium access control (MAC), utilized by IEEE 802.11 wireless local area networks. 

Instructions: 

802.11 Distributed Coordination Function (DCF) is a protocol which uses carrier sensing along with a four way handshake to maximize the throughput while preventing packet collisions. 

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