International Journal of Pharmacy Research & Technology

2019 ◽  
Keyword(s):  
Research Technology

THE PROJECT "ENGINEERING CLASS IN MOSCOW SCHOOL"

2019 ◽  
pp. 55-58
Author(s):  
N. V. Mokrova
Keyword(s):  
Professional Knowledge ◽  
Information Support ◽  
Engineering Practice ◽  
Low Level ◽  
Research Technology ◽  
Moscow School ◽  
Project Engineering

The issues of implementation of the project "Engineering class in Moscow school" are discussed. The results of the pre-professional examination in three areas of training are presented, the low level of pre-professional knowledge was noted. The research course of solving applied problems of engineering practice with the use of modern software has not been studied. Based on the analysis of the results of pre-professional examinations in the areas of research, technology and programming, conclusions about the weak information support of the project and the unwillingness of school graduates to expand the fields of training are obtained.

Farmers' needs for management, research and extension, and policy - findings of a farmers' workshop and their implications

1992 ◽  
pp. 7-10
Author(s):  
A.F. Mcrae
Keyword(s):  
Technology Transfer ◽  
Farming Systems ◽  
Management Research ◽  
Business Objectives ◽  
Research Technology ◽  
Systems Research ◽  
Farming Systems Research

Farmers' objectives, their circumstances and the constraints they face are central to any consideration of ways and means of improving farming systems. The management, research and extension, and policy needs of the farmers attending this workshop were diverse. This appeared to be linked with the (unexpected) degree of diversity in the business objectives and management structures on these farms. More formal research on these issues across the spectrum of farmers is required to ensure that research and technology transfer meet the industry's needs. Keywords farming systems, research, technology transfer, objectives

IMPLEMENTASI METODE OPERASI MORFOLOGIS DALAM PERBAIKAN HASIL SEGMENTASI CITRA DIGITAL GORGA BATAK

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ojahan Sihombing ◽  
Efori Buulolo ◽  
Henry Kristian Siburian
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Operation Technique ◽  
Regional Culture ◽  
Human Beings ◽  
Morphological Operation ◽  
Research Technology ◽  
Operation Method ◽  
Image Improvement

As the development of research technology on Digital Image Processing continues to grow. Likewise, the improvement of the quality of sharpness / subtlety of the Gorga Batak images is an important thing to improve. This is one of the ways to preserve the Batak tribe area so that Gorga-gorga are still remembered and more interpreted. The cause of the need to be improved is the image of Gorga Batak is caused by several factors that cause the image to be less beautiful if it is interpreted by human beings such as the shape has been blurred (dark) due to shooting / shooting, has noise black spots on the image (noise), and the color is dull out of date. As an effort to improve image, the segmentation process is carried out by doing edge detection on the image, then the Morphological Operation Method will be implemented as one of the methods in Digital Image Processing that implements image quality improvement based on the shape and structure of the image. In this image processing, the Dilation Operation Technique and Operation Technique will be carried out. In Operation Dilation Techniques works by adding several segments (pixels) in the image so as to increase the integrity / sharpness of the structure of the image. While the Erosion Operation Technique will reduce / refine unnecessary parts / segments of the image so that the resulting image looks smoother, so that it can be more interpreted by humans and can be reused both as documentation of regional culture and so on. Using this method is expected to be able to improve and improve the quality / sharpness of Citra Gorga Batak. To facilitate the operation of the program design tools will be used, namely Matlab.Keywords: Image Improvement, Gorga Batak, Morphological Operation Method

FY98 Research Technology Area Plan

1998 ◽  
Author(s):  
WRIGHT LAB WRIGHT-PATTERSON AFB OH
Keyword(s):  
Research Technology ◽  
Technology Area

Evaluation of the Technological Potential of Grape Peels Through Patent Document Analysis: Agro-industrial Waste with Biotechnological Potential

2020 ◽  
Vol 14 ◽  
Author(s):  
Euzelia Lima de Souza ◽  
Ingrid Lessa Leal ◽  
Marcelo Andres Umsza-Guez ◽  
Bruna Aparecida Souza Machado
Keyword(s):  
Waste Product ◽  
The United States ◽  
Industrial Applications ◽  
Natural Form ◽  
Beneficial Effects ◽  
Research Technology ◽  
Technological Potential ◽  
Promising Area ◽  
Patent Documents ◽  
Grape Peel

Background: Grape (Vitis viniferaL.) is consumed by old world populations in its natural form and is used to produce wine or juice. Currently, China is the largest grape producer in the world. The red grapes stand out because of their phytochemical composition, more specifically their high resveratrol levels. Resveratrol is a compound that has a number of different beneficial effects on health and is mainly used in the food and cosmetic industries. Grape peel is a waste product and new strategies based on nanotechnology can minimize its environmental impact and add value to this residue. Objectives: The first objective of this study was to evaluate the technological potential of utilizing grape peel by researching and analyzing information extracted from patent documents filed worldwide in order to identify the main countries that hold the research technology, the main depositors and inventors, and the main areas of application. The second aim was to research and investigate grape peel products that have been created using nanotechnology. Methods: An analysis of all patented documents related to grape peel processes, products, or different industrial applications that may use nanotechnology was carried out. This was achieved by undertaking a Derwent Innovation Index (DII) database search. Results: A total of 752 patent documents were identified in the surveyed area. These were assessed for depositor country of origin, type of depositor, inventors, evolution of deposits over time, and areas of application. Only 6% of the total represented products and processes in the nanotechnology area. There was a growth in the number of patent filings from 2015, which showed that the researched area is a current and developing technology with new application possibilities. The main depositing countries were China, the United States, and Japan, which dominate the researched technology. The identified documents discussed using grape peel to develop new food, medical and dental products. Conclusion: Over the last few years, different approaches have been suggested for the production of nanoproducts based on grape peel. The results from this study showed that although incipient, nanotechnology is a promising area of research that can be explored by universities and companies because the products could have significant positive characteristics and, even though they are made out of a byproduct, have great application potential.

scholarly journals Embedded Deep Learning Prototyping Approach for Cyber-Physical Systems: Smart LIDAR Case Study

2021 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Quentin Cabanes ◽  
Benaoumeur Senouci ◽  
Amar Ramdane-Cherif
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Computation Time ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Research Technology ◽  
Standard Design ◽  
Hardware Architectures ◽  
Voxel Grid

Cyber-Physical Systems (CPSs) are a mature research technology topic that deals with Artificial Intelligence (AI) and Embedded Systems (ES). They interact with the physical world via sensors/actuators to solve problems in several applications (robotics, transportation, health, etc.). These CPSs deal with data analysis, which need powerful algorithms combined with robust hardware architectures. On one hand, Deep Learning (DL) is proposed as the main solution algorithm. On the other hand, the standard design and prototyping methodologies for ES are not adapted to modern DL-based CPS. In this paper, we investigate AI design for CPS around embedded DL. The main contribution of this work is threefold: (1) We define an embedded DL methodology based on a Multi-CPU/FPGA platform. (2) We propose a new hardware design architecture of a Neural Network Processor (NNP) for DL algorithms. The computation time of a feed forward sequence is estimated to 23 ns for each parameter. (3) We validate the proposed methodology and the DL-based NNP using a smart LIDAR application use-case. The input of our NNP is a voxel grid hardware computed from 3D point cloud. Finally, the results show that our NNP is able to process Dense Neural Network (DNN) architecture without bias.

scholarly journals Decarbonization in Shipping Industry: A Review of Research, Technology Development, and Innovation Proposals

2021 ◽  
Vol 9 (4) ◽  
pp. 415
Author(s):  
George Mallouppas ◽  
Elias Ar. Yfantis
Keyword(s):  
Financial Incentives ◽  
Alternative Fuels ◽  
Internal Combustion Engines ◽  
Review Paper ◽  
Waste Heat ◽  
Renewable Energy Sources ◽  
Grey Literature ◽  
Ghg Emissions ◽  
Shipping Industry ◽  
Research Technology

This review paper examines the possible pathways and possible technologies available that will help the shipping sector achieve the International Maritime Organization’s (IMO) deep decarbonization targets by 2050. There has been increased interest from important stakeholders regarding deep decarbonization, evidenced by market surveys conducted by Shell and Deloitte. However, deep decarbonization will require financial incentives and policies at an international and regional level given the maritime sector’s ~3% contribution to green house gas (GHG) emissions. The review paper, based on research articles and grey literature, discusses technoeconomic problems and/or benefits for technologies that will help the shipping sector achieve the IMO’s targets. The review presents a discussion on the recent literature regarding alternative fuels (nuclear, hydrogen, ammonia, methanol), renewable energy sources (biofuels, wind, solar), the maturity of technologies (fuel cells, internal combustion engines) as well as technical and operational strategies to reduce fuel consumption for new and existing ships (slow steaming, cleaning and coating, waste heat recovery, hull and propeller design). The IMO’s 2050 targets will be achieved via radical technology shift together with the aid of social pressure, financial incentives, regulatory and legislative reforms at the local, regional and international level.

scholarly journals The National Earth System Prediction Capability: Coordinating the Giant

2017 ◽  
Vol 98 (2) ◽  
pp. 239-252 ◽  
Author(s):  
Jessie C. Carman ◽  
Daniel P. Eleuterio ◽  
Timothy C. Gallaudet ◽  
Gerald L. Geernaert ◽  
Patrick A. Harr ◽  
...  
Keyword(s):  
Numerical Weather Prediction ◽  
Weather Prediction ◽  
The United States ◽  
Department Of Energy ◽  
Earth System ◽  
Numerical Weather ◽  
Interagency Coordination ◽  
Research Technology ◽  
Prediction Capability ◽  
The U.S

Abstract The United States has had three operational numerical weather prediction centers since the Joint Numerical Weather Prediction Unit was closed in 1958. This led to separate paths for U.S. numerical weather prediction, research, technology, and operations, resulting in multiple community calls for better coordination. Since 2006, the three operational organizations—the U.S. Air Force, the U.S. Navy, and the National Weather Service—and, more recently, the Department of Energy, the National Aeronautics and Space Administration, the National Science Foundation, and the National Oceanic and Atmospheric Administration/Office of Oceanic and Atmospheric Research, have been working to increase coordination. This increasingly successful effort has resulted in the establishment of a National Earth System Prediction Capability (National ESPC) office with responsibility to further interagency coordination and collaboration. It has also resulted in sharing of data through an operational global ensemble, common software standards, and model components among the agencies. This article discusses the drivers, the progress, and the future of interagency collaboration.

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