Qingfa Chai, Yi Tang, Quan Wang et al. · 2023
Aiming at the problems such as low efficiency of relay protection setting management and remote setting, risk of error in setting delivery and setting, and difficulty of quick warning of setting value mutation, this paper proposes a method of relay protection setting management and remote setting based on hash value check. A remote setting system of setting value is established, which is composed of block chain server, substation centralized control master station, control cloud platform and protection device. The setting value is set and transferred remotely in the form of file. The block hash encryption of the setting value file is carried out, and the block chain provides reliable data storage and transmission services, so that the setting value file cannot be tampered with in the flow of all parts. Ensure the high reliability of relay protection remote setting. The engineering test results show that the proposed method is reliable and effective, and can provide technical support for the reliable automatic setting of setting values.
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Said Jneid, Mahmoud · Mendeley Data · 2021
This data set contains the following: - Mathematical model of electronic wedge brake (MATLAB/m-file) - Servo-LQR control of EWB (MATLAB/m-file) - Dynamic model and Kalman filter-based Sensorless estimations of clamp force (MATLAB/m-file) - Simulation data (MATLAB/workspace data) - Figures used in the article (MATLAB/.fig) - Block diagram used in the article (Visio)
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2010
Creating a file date for each input file, when one does not exist in the file, becomes a tedious task as the number of files grows. Different methods can be used, such as reading in all the files at once, using a file counter, the Job File Control Block (JFCB), and implementing macros. The key was to find a solution that reduces both the programmer’s time and CPU time. When all methods were compared to reading in each file in its own data step, the file counter and JFCB both increased CPU time, but decreased the amount of hard coding necessary, while using a macro decreased the amount of hard coding and CPU time. This made the macro the most efficient solution when looking at both the programmer’s time and CPU time. This method can be used if the file date is anywhere in the filename. When the need arises to do analysis based on the file date of the file, it can be time consuming to hard code the file date in for each file. This is especially true when the analysis is needed covering multiple years on a file that is submitted every month. There are different techniques available to accomplish this task without having to hard code the file date. One of the techniques, the Job File Control Block, is specific to working on the mainframe. The others
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HE Xiaobin, GAO Jie, XIAO Wei, CHEN Qi, LIU Xin, CHEN Zuoning · SHILAP Revista de lepidopterología · 2022
Supercomputing systems have entered the exascale era and to meet the growing demand for data access and performance, supercomputing systems typically require multi-tier storage architecture.Storage media typically vary between tiers, making it difficult to achieve unified namespace management.This paper proposes to address this problem by developing block-level caching based on Non-Volatile Dual In-line Memory Module(NVDIMM) and file-level cache based on Burst Buffer(BB) technologies.The NVDIMM-based block-level cache supports asynchronous read/write of data block granularity through flexible control of the cache window and realizes the unified namespace of NVDIMM and BB.The file-level cache is based on BB and supports data caching in it, dynamically migrates and manages file copies, and realizes the unified namespace between BB and the traditional disk file system.Evaluation result of the verification systems in the Sunway E-class prototype shows that both technologies proposed in this paper can achieve transparent acceleration.Compared with BB, the NVDIMM block-level cache increases the sequential read/write bandwidth of a 128 KB block by 27% and 36%, respectively, and the random read/write bandwidth of an 8 KB block by 20% and 37%, respectively, given a cache window size of 16 MB.The BB-based file cache allows applications to exploit the high bandwidth of BB.Compared with the Global File System(GFS), the 128 KB block sequential read/write bandwidth increases by 55% and 141%, respectively, and the 8 KB random read/write bandwidth increases by 163% and 209%, respectively.In addition, the practical application presented in this study shows that above two cache technologies have transparent storage acceleration effects.
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Gabara, Grzegorz · Data Archiving and Networked Services (DANS) · 2018
Folders contain the following data: 1. CRBeDaSet_Corner Images – image stereograms oriented on the building corners. 2. CRBeDaSet_E1 Images – set of 7 images for the elevation 1. 3. CRBeDaSet_E2 Images – set of 7 images for the elevation 2. 4. CRBeDaSet_E1 Images – set of 7 images for the elevation 3. 5. CRBeDaSet_E4 Images – set of 7 images for the elevation 4. Files contain the following data: 1. CRBeDaSet_ Description of folders and files. 2. CRBeDaSet_Elevations Images.pdf – View of the elevation: E1, E2, E3, E4, E1-E4, E2-E1, E3-E2, E4-E3. 3. CRBeDaSet_Images.pdf – Set of 36 digital images. 4. CRBeDaSet_Input Data & BBA Results.xlsx – Input data for digital processing and the bundle block adjustment, results of the bundle block adjustment: Geodetic Control Network – Point coordinates of the geodetic control network and standard deviation, Control & Check Points ¬– Coordinates of photogrammetric control points and check points, and standard deviation Pixel Coordinates System – Point coordinates for bundle block adjustment in the Pictran B software and point coordinates for digital processing – Point coordinates in additional images for digital processing, Image Coordinates System – Point coordinates in the image coordinates system without corrections (unrefined) for bundle block adjustment in the Pictran B software, Simultaneous Calibration – Results of the bundle block adjustment with simultaneous DSLR Nikon D5100 camera calibration in the Pictran B software, Elements of Exterior Orientation – Results (centers of projection and elements of rotation) of the bundle block adjustment in the Pictran B software, New Points – New points coordinates and standard deviation computed in the bundle block adjustment. 5. CRBeDaSet_Signalized Points.pdf – Photo sketches of 50 signalized (artificial and natural) points on the elevation E1, E2, E3, E4. 6. Pictran B_74_3_74OP_50CP_1_3_614IP_0019_A1A2B1C1.koo (Pictran B file) – Coordinates of photogrammetric control points and check points, and standard deviation for the bundle block adjustment in the Pictran B software 7. Pictran B_74_3_74OP_50CP_1_3_614IP_0019_A1A2B1C1.lok (Pictran B file) – Point coordinates in the image coordinates system without corrections (unrefined) for the bundle block adjustment in the Pictran B software. 8. Pictran B_74_3_74OP_50CP_1_3_614IP_0019_A1A2B1C1.OUT (Pictran B file) – Results of the bundle block adjustment with simultaneous DSLR Nikon D5100 camera calibration in the Pictran B software. 9. CRBeDaSet_RAW_SCAN_stations.rar – CRBeDaSet_RAW_scan_stations.pts compressed with WinRAR. RAW scan stations data files. 10. CRBeDaSet_PC_merged.rar – CRBeDaSet_PC_merged.pts compressed with WinRAR. RAW scan stations merged using Leica Cyclone™ SCAN software. 11. CRBeDaSet_PC_merged_filtered.rar – CRBeDaSet_PC_merged_filtered.pts compressed with WinRAR. RAW scan stations merged and filtered using Leica Cyclone™ SCAN software.
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Would First Like, Wayne Francis Dugal · 2007
CONTENTS Page 1. INTRODUCTION ....................................................................................................................1 2. IMPACT ...................................................................................................................................3 2.1 An Introduction to Lcode ............................................................................................4 2.1.1 File layout .....................................................................................................4 2.1.2 Function layout .............................................................................................5 2.1.3 Control block layout......................................................................................6 2.1.4 Instruction layout ..........................................................................................7 2.1.5 Data layout...........................................................................................
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Ken Shirriff, Ken Shirriff · 1993
Due to demand for shared memory in order to implement databases efficiently, I added the mmap mapped file interface of 4.2 BSD Unix to Sprite, providing shared memory, file mapping, and user-level control over paging. This report first discusses the design issues for a shared memory and file mapping interface and provides an overview of the support for these functions in other operating systems. Details of the Sprite virtual memory system and the changes to support shared memory and file mapping are given. Performance measurements show that in this implementation, mapped files have comparable performance to block I/O and are faster than buffered I/O for sequential access. For random access to locally cached files, the relative performance of mapped files versus block I/O depends on the access patterns. Access to files across the network is limited by network transmission time, both for mapped files and block I/O. January 4, 1993 ############### + The work described here was supported ...
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Cook, Kyle A., Geary, Brad, Allen, Phil S. et al. · ScholarsArchive (Brigham Young University) · 2024
This file contains the data description for the Cook2024_1_Influence of Planting Depth… Supplementary File. The excel file contains two worksheets: 1) Lab Trial Data, and 2) Field Trial Data. 1) Lab Trial Data A) Block: block (rep) of the sample B) Soil Type: soil type for that sample- loam, sandy-loam, or loamy-sand C) Seed Treatment: seed treatment, control or coated D) Seeding Depth (mm): depth, in mm, the seeds were planted- 0, 3.2, 6.3, 12.7 E) Week 1 Emerge: total number of seedlings emerged in Week 1 F) Week 2 Emerge: total number of seedlings emerged in Week 2 (includes the number that emerged in Week 1) G) Total Emerged: total number of seedlings that emerged in both weeks. 2) Field Trial Data A) Site: planting location- Santaquin, UT, Sage Valley, UT; Enterprise, UT; Magna, UT. B) Block: block (rep) of the sample C) Seed Treatment: treatment on the seed- control or coated D) Seeding Depth (mm): depth, in mm, the seeds were planted- 0, 3.2, 6.3, 12.7 E) Live Seedlings: number of live seedlings in May 2022 F) Dead Seedlings: number of dead seedlings in May 2022 G) Total Seedlings: total number of emerged seedlings in May 2022
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Greenstein, Robert, Su, Liya, Fam, Peter et al. · Figshare · 2020
Additional file 4. No-Probe control for Additional file 3: Figure S3: Human gut from paraffin block. A = DAPI; B = Texas Red (No-Probe); C = Cy-5 (No-Probe) D = composite of A, B and C. Note “apparent positive “signal in panel “C” (White arrows.) Indicating false positive signal. Marker bars in µm indicates magnification of × 40.
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Fujiwara, Mana · Figshare · 2017
We share datasets analysed in our paper "Optokinetic nystagmus reflects perceptual directions in the onset binocular rivalry in Parkinson's disease" in PLoS ONE 2017.<br>Each mat file was recoded from a subject.The file names represent 1) category of subject - "c" for control, "p" for patient, and 2) subject ID.<br>A structural data, which has a layer for Run, and block underneath, is contained in each mat file. <br>
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Mana Fujiwara · Figshare · 2017
We share datasets analysed in our paper "Optokinetic nystagmus reflects perceptual directions in the onset binocular rivalry in Parkinson's disease" in PLoS ONE 2017.<br>Each mat file was recoded from a subject.The file names represent 1) category of subject - "c" for control, "p" for patient, and 2) subject ID.<br>A structural data, which has a layer for Run, and block underneath, is contained in each mat file. <br>
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Greenstein, Robert, Su, Liya, Fam, Peter et al. · Figshare · 2020
Additional file 4. No-Probe control for Additional file 3: Figure S3: Human gut from paraffin block. A = DAPI; B = Texas Red (No-Probe); C = Cy-5 (No-Probe) D = composite of A, B and C. Note “apparent positive “signal in panel “C” (White arrows.) Indicating false positive signal. Marker bars in µm indicates magnification of × 40.
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Hodapp, Dorothee, Borer, Elizabeth, Harpole, W. et al. · Figshare · 2018
The file contains information on sample ID (site_code, block, plot), number of years since the first treatment application (0 = year before treatment application), treatment (Control = control, NPK = nutrient addition, Fence = herbivore exclusion, NPK+Fence = combined treatment of nutrient addition and herbivore exclusion), species identity (Taxon) and % cover of each species
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Jordan A. Berg (2838251), Jonathan R. Belyeu (8384652), Jeffrey T. Morgan (8384655) et al. · Figshare · 2020
<p>Representation of the general steps performed by XPRESSpipe with data and log outputs. Steps in parentheses are optional to the user. Input and output file types are in parentheses for each input or output block. The main script(s) used for a given step are in yellow blocks. The green block indicates input sequence file(s). Pink blocks indicate reference input files and curated reference. Orange blocks indicate output files. Blue blocks indicate general quality control and log file outputs. Differential expression analysis is run independently from the pipeline as the user will need to ensure count table and metadata table formatting are correct before use.</p>
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Bradley, J. · PRISM (University of Calgary) · 1984
A formula has been derived tht permits computation of the number of FBA-blocks required for a file stored on an IBM disk that uses fixed-block architecture. Previously only an involved algorithm, released by IBM, was available for this task. Both formula and the algorithm involve the use of control intervals. Control intervals are of fundamental importance with IBM file systems since they permit disk independent program manipulation of large computer files and data bases.
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Ding, Peng · 4TU.ResearchData · 2023
It contains the GPS velocity fields relative to the Asian and European plates and the GPS velocity fields relative to the Ordos massif, the block delineation of the Ordos and surrounding areas and the TDEFNODE software control file (for more information, see the TDEFNODE user manual).<br>The .boundary file is the latitude and longitude of the mapped boundary contour points.The .txt file is the velocity of the GPS station relative to the Eurasian plate or Ordovician massif, divided into northward and eastward components and their respective uncertainties, the correlation of the northeast component and the station code.<br>The .tdfn file is the TDEFNODE control file, please refer to the TDEFNODE user manual for keyword meanings.
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Vishneski, Susan R., Saha, Amit K., Tran, Lan C. et al. · Figshare · 2025
Supplementary Material 1
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Vishneski, Susan R., Saha, Amit K., Tran, Lan C. et al. · Figshare · 2025
Supplementary Material 1
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Zhu, Tao · Data Archiving and Networked Services (DANS) · 2020
This is a Simulink block diagram (.mdl file) developed in Advanced Vehicle Simulator (ADVISOR) for simulating an EV deploying a battery-supercapacitor energy storage system. This file models the whole vehicle drivetrain and emphasizes the energy storage system (battery + supercapacitor). The control strategy in this file is the logic threshold controller for standalone testing. Extra datasets of vehicle parameters are needed to be initialized prior to simulation. Matlab 2013 along with ADVISOR 2013 is suggested to best use this file.
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Liang, Yiqian, Han, Peng, Wang, Ting et al. · Figshare · 2019
Additional file 1: Figure S1. The layout of the lectin microarrays. Each lectin was spotted in triplicate per block, with triplicate blocks on one slide. Cy3-labeled BSA was spotted as a location marker and BSA as a negative control.
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