scholarly journals Hyperspectral imaging applied to end-of-life (EOL) concrete recycling

2015 ◽  
Vol 82 (12) ◽  
Author(s):  
Giuseppe Bonifazi ◽  
Roberta Palmieri ◽  
Silvia Serranti
Keyword(s):  
Quality Control ◽  
End Of Life ◽  
Hyperspectral Imaging ◽  
Recognition System ◽  
Automatic Recognition ◽  
Recycling Industry ◽  
Control Actions ◽  
Important Target ◽  
Set Up ◽  
Concrete Recycling

AbstractThe recovery of materials from DW is an important target of the recycling industry and it is important to know which materials are present in order to set up efficient sorting and/or quality control actions. The implementation of an automatic recognition system of recovered products from

Automatic Recognition of Hub Classification Based on Machine Vision

2013 ◽  
Vol 380-384 ◽  
pp. 3694-3697
Author(s):  
Guang Wei Wang ◽  
Ji Ping Zhang
Keyword(s):  
Machine Vision ◽  
Recognition System ◽  
Automatic Recognition ◽  
Moment Analysis ◽  
Different Types ◽  
Set Up ◽  
Hu Moment ◽  
Dark Room ◽  
Environmental Interference

Based on machine vision principle, automatic recognition system is advanced to distinguish hub classification with different types. Firstly, the dark room environment is set up to eliminate the environmental interference. Secondly, the height of automobile hub is obtained with the grating ruler, and the diameter of automobile hub is achieved through image contours analysis. Finally, hub classification is accomplished through the Hu moment analysis of hub holes. Experiments show that the system can meet the needs of recognition online for hub classification, which can improve productivity effectively, and is of great application value.

Near infrared hyperspectral imaging-based approach for end-of-life flat monitors recycling

2020 ◽  
Vol 68 (4) ◽  
pp. 265-276 ◽  
Author(s):  
Giuseppe Bonifazi ◽  
Riccardo Gasbarrone ◽  
Roberta Palmieri ◽  
Silvia Serranti
Keyword(s):  
End Of Life ◽  
Hyperspectral Imaging ◽  
Near Infrared ◽  
Low Cost ◽  
Rapid Change ◽  
Identification Approach ◽  
Important Amount ◽  
Chemical Attributes ◽  
Improved Performance ◽  
Set Up

AbstractThe technological innovation and the relentless marketing of new electronic products with improved performance generate increasing quantities of Waste from Electrical and Electronic Equipment (WEEE). In this scenario, End-Of-Life (EOL) flat monitors and screens represent a category generating, as a consequence of the rapid change in technology, an important amount of waste. Considering future estimations, the implementation of an adequate recycling infrastructure is necessary. An efficient, reliable and low-cost analytical tool is thus needed to perform detection/control actions in order to assess: i) waste composition and ii) physical-chemical attributes of the resulting materials. The knowledge of these information is a requirement to set-up and to implement correct recycling actions.In this study, a cascade identification approach, based on Near InfraRed (NIR) – HyperSpectral Imaging (HSI), was carried out. More in detail, a four-steps classification was designed, implemented and set-up in order to recognize different materials occurring in a specific WEEE stream: EOL milled monitors and flat screens. Adopting the proposed approach, different material categories are correctly recognized and classified. Obtained results can be useful not only to set-up a quality control system, but also to improve sorting actions in this specific recycling sector.

DRUG REGULATORY PROCEDURES IN TANZANIA: A GLIMPSE

2015 ◽  
Vol 3 (2) ◽  
pp. 1-7 ◽  
Author(s):  
Achin Jain ◽  
M P Venkatesh M P ◽  
Pramod T.M. Kumar
Keyword(s):  
Quality Control ◽  
Medical Devices ◽  
Emerging Market ◽  
Well Being ◽  
New Drugs ◽  
Regulatory Body ◽  
Herbal Drugs ◽  
Drug Products ◽  
Set Up

In Tanzania, Tanzania Food and Drugs Authority (TFDA), is a regulatory body responsible for controlling the quality,safety and effectiveness of food, drugs, herbal drugs, cosmetics and medical devices. The Authority has been ensuringsafety, efficacy and quality of medicines by quality control tests; in addition to other quality assessment mechanisms.The guidelines laid by TFDA have also emanated from commitment to democracy and gives strong emphasis to thefulfilment of the needs of the less privileged rural population.Tanzania is an emerging market; the pharmaceutical market is valued at over US$250 million, and is growing at anannual rate of around 16.5% and is expected to reach approximately US$550 billion in 2020. Currently, the market ishighly dependent on imports, which account for around 75% of the total pharmaceutical market.The procedures and approval requirements of new drugs, variations, import, export and disposal have been set up bythe TFDA, which help in maintaining quality of the drug products that are imported as well being produced locally 

scholarly journals The human checkpoint sensor and alternative DNA clamp Rad9–Rad1–Hus1 modulates the activity of DNA ligase I, a component of the long-patch base excision repair machinery

2005 ◽  
Vol 389 (1) ◽  
pp. 13-17 ◽  
Author(s):  
Ekaterina SMIRNOVA ◽  
Magali TOUEILLE ◽  
Enni MARKKANEN ◽  
Ulrich HÜBSCHER
Keyword(s):  
Quality Control ◽  
Dna Polymerase ◽  
Base Excision Repair ◽  
Excision Repair ◽  
Dna Ligase ◽  
Dna Polymerase Β ◽  
Flap Endonuclease 1 ◽  
Important Target ◽  
Dna Ligase I ◽  
Base Excision

The human checkpoint sensor and alternative clamp Rad9–Rad1–Hus1 can interact with and specifically stimulate DNA ligase I. The very recently described interactions of Rad9–Rad1–Hus1 with MutY DNA glycosylase, DNA polymerase β and Flap endonuclease 1 now complete our view that the long-patch base excision machinery is an important target of the Rad9–Rad1–Hus1 complex, thus enhancing the quality control of DNA.

scholarly journals Smart Care Using a DNN-Based Approach for Activities of Daily Living (ADL) Recognition

2020 ◽  
Vol 11 (1) ◽  
pp. 10
Author(s):  
Muchun Su ◽  
Diana Wahyu Hayati ◽  
Shaowu Tseng ◽  
Jiehhaur Chen ◽  
Hsihsien Wei
Keyword(s):  
Neural Network ◽  
Health Care ◽  
Activities Of Daily Living ◽  
Video Processing ◽  
Daily Living ◽  
Deep Neural Network ◽  
Recognition System ◽  
Automatic Recognition ◽  
Data Filtering ◽  
Accuracy Rate

Health care for independently living elders is more important than ever. Automatic recognition of their Activities of Daily Living (ADL) is the first step to solving the health care issues faced by seniors in an efficient way. The paper describes a Deep Neural Network (DNN)-based recognition system aimed at facilitating smart care, which combines ADL recognition, image/video processing, movement calculation, and DNN. An algorithm is developed for processing skeletal data, filtering noise, and pattern recognition for identification of the 10 most common ADL including standing, bending, squatting, sitting, eating, hand holding, hand raising, sitting plus drinking, standing plus drinking, and falling. The evaluation results show that this DNN-based system is suitable method for dealing with ADL recognition with an accuracy rate of over 95%. The findings support the feasibility of this system that is efficient enough for both practical and academic applications.

scholarly journals Fast and Efficient 5′P Degradome Library Preparation for Analysis of Co-Translational Decay in Arabidopsis

Plants ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 466
Author(s):  
Marie-Christine Carpentier ◽  
Cécile Bousquet-Antonelli ◽  
Rémy Merret
Keyword(s):  
Gene Expression ◽  
Quality Control ◽  
Transcriptional Regulation ◽  
High Throughput ◽  
Library Preparation ◽  
Working Day ◽  
Set Up ◽  
Post Transcriptional Regulation ◽  
Commercial Kit

The recent development of high-throughput technologies based on RNA sequencing has allowed a better description of the role of post-transcriptional regulation in gene expression. In particular, the development of degradome approaches based on the capture of 5′monophosphate decay intermediates allows the discovery of a new decay pathway called co-translational mRNA decay. Thanks to these approaches, ribosome dynamics could now be revealed by analysis of 5′P reads accumulation. However, library preparation could be difficult to set-up for non-specialists. Here, we present a fast and efficient 5′P degradome library preparation for Arabidopsis samples. Our protocol was designed without commercial kit and gel purification and can be easily done in one working day. We demonstrated the robustness and the reproducibility of our protocol. Finally, we present the bioinformatic reads-outs necessary to assess library quality control.

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