Hardware-based scheduling and synchronization for light-weight, fine-grained multi-threading

2020 ◽  
Vol 10 (1) ◽  
pp. 10-22
Author(s):  
Samer Haddad ◽  
Jeanine Cook
Keyword(s):  
Light Weight ◽  
Fine Grained

Light weight and fine‐grained access mechanism for secure access to outsourced data*

2018 ◽  
Vol 31 (23) ◽  
Author(s):  
Mosarrat Jahan ◽  
Suranga Seneviratne ◽  
Partha Sarathi Roy ◽  
Kouichi Sakurai ◽  
Aruna Seneviratne ◽  
...  
Keyword(s):  
Light Weight ◽  
Fine Grained ◽  
Secure Access ◽  
Outsourced Data

scholarly journals NEW NATIONAL STANDARD FOR SELF-COMPACTING CONCRETE MIXES

2021 ◽  
pp. 30-40
Author(s):  
Simon KAPRIELOV ◽  
Andrey SHEYNFELD ◽  
Igor ARZUMANOV ◽  
Igor CHILIN
Keyword(s):  
Reinforced Concrete ◽  
Precast Concrete ◽  
Test Methods ◽  
National Standard ◽  
Light Weight ◽  
Self Compacting Concrete ◽  
Fine Grained ◽  
Evaluation Procedures ◽  
Concrete Mixtures ◽  
Slump Flow

The information about the new national standard GOST R «Self-compacting concrete mixtures. Specifications», developed by the «Research Institute for Concrete and Reinforced Concrete» named after A.A. Gvozdev, of JSC «Research Center of Construction», is presented. The standard applies to ready-to-use selfcompacting concrete mixtures of heavyweight, fine-grained, light-weight and reactive powder concretes, as well as fiber reinforced concretes, for the production of monolithic or precast concrete structures and products, the shape and reinforcement of which makes it difficult to place and compaction of an ordinary concrete mixture. The standard establishes new terms and definitions, types and designations, uniform requirements for new technological characteristics (slump-flow, segregation, viscosity and flowability), acceptance rules and test methods, production and transportation processes, control and evaluation procedures conformity of quality indicators of self-compacting concrete mixes.

Secure and Light Weight Fine-grained Access Mechanism for Outsourced Data

2017 ◽  
Author(s):  
Mosarrat Jahan ◽  
Partha Sarathi Roy ◽  
Kouichi Sakurai ◽  
Aruna Seneviratne ◽  
Sanjay Jha
Keyword(s):  
Light Weight ◽  
Fine Grained ◽  
Outsourced Data

scholarly journals Integrating Multiple Models Using Image-as-Documents Approach for Recognizing Fine-Grained Home Contexts

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 666 ◽  
Author(s):  
Sinan Chen ◽  
Sachio Saiki ◽  
Masahide Nakamura
Keyword(s):  
Recognition Accuracy ◽  
Majority Voting ◽  
Multiple Models ◽  
Light Weight ◽  
Context Recognition ◽  
Fine Grained ◽  
Novel Technique ◽  
Multiple Image ◽  
Novel Method ◽  
Range Voting

To implement fine-grained context recognition that is accurate and affordable for general households, we present a novel technique that integrates multiple image-based cognitive APIs and light-weight machine learning. Our key idea is to regard every image as a document by exploiting “tags” derived by multiple APIs. The aim of this paper is to compare API-based models’ performance and improve the recognition accuracy by preserving the affordability for general households. We present a novel method for further improving the recognition accuracy based on multiple cognitive APIs and four modules, fork integration, majority voting, score voting, and range voting.

Manufacturing of Light Weight Aggregates from the Local Waste Materials for Application in the Building Concrete

2017 ◽  
Vol 904 ◽  
pp. 174-178 ◽  
Author(s):  
Tomasz Pawlik ◽  
Daniel Michalik ◽  
Malgorzata Sopicka-Lizer ◽  
Marcin Godzierz
Keyword(s):  
Mechanical Properties ◽  
Coal Mine ◽  
Waste Utilization ◽  
Waste Materials ◽  
Mine Wastes ◽  
Light Weight ◽  
Local Power ◽  
Water Addition ◽  
Glass Waste ◽  
Fine Grained

The aim of those research was to find out the technique of the car windshield glass waste utilization. The research was performed in cooperation with the Polish small company, active in the waste utilization. Manufacturing of the light weight aggregates (LWAs) for application in the building concrete has been chosen as an appropriate solution. The local coal mine slates, the fine-grained coal mine wastes and fly ash from the local power station were tried for making the suitable mixture for granulation and sintering. All waste materials were characterized for their granulation, chemical composition and thermal behavior (DTA, TG/DTG, linear changes). Several mixtures with various composition were prepared, milled, homogenized and pelletized with water addition and finally sintered at 950°C. Thermally treated granules were tested for their density, porosity and mechanical properties. Some specimens were observed in scanning microscope. It has been shown that by variation of the composition of the waste materials it is possible to produce aggregates with a large variety of mechanical properties and porosities.

Application of an image management system in microscopy

1992 ◽  
Vol 50 (2) ◽  
pp. 1052-1053
Author(s):  
Richard S. Chemock
Keyword(s):  
Data Storage ◽  
Cost Savings ◽  
Image Data ◽  
Analytical Techniques ◽  
Operational Mode ◽  
Fine Grained ◽  
Image Recording ◽  
Primary Output ◽  
Capacity Data ◽  
Image Management System

One of the most common tasks in a typical analysis lab is the recording of images. Many analytical techniques (TEM, SEM, and metallography for example) produce images as their primary output. Until recently, the most common method of recording images was by using film. Current PS/2R systems offer very large capacity data storage devices and high resolution displays, making it practical to work with analytical images on PS/2s, thereby sidestepping the traditional film and darkroom steps. This change in operational mode offers many benefits: cost savings, throughput, archiving and searching capabilities as well as direct incorporation of the image data into reports.The conventional way to record images involves film, either sheet film (with its associated wet chemistry) for TEM or PolaroidR film for SEM and light microscopy. Although film is inconvenient, it does have the highest quality of all available image recording techniques. The fine grained film used for TEM has a resolution that would exceed a 4096x4096x16 bit digital image.

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