Development of High-resolution Exciting Source Identification System

2016 ◽  
Author(s):  
Masanori Watanabe ◽  
Yosuke Tanabe ◽  
Naoki Yoneya
Keyword(s):  
High Resolution ◽  
Source Identification ◽  
Identification System ◽  
Exciting Source

scholarly journals Interactive key (Lucid) for identification of fungi in vegetable seeds

2020 ◽  
Vol 46 (1) ◽  
pp. 14-19
Author(s):  
Caroline Geraldi Pierozzi ◽  
Ricardo Toshio Fujihara ◽  
Efrain de Santana Souza ◽  
Marília Pizetta ◽  
Maria Márcia Pereira Sartori ◽  
...  
Keyword(s):  
High Resolution ◽  
Prior Knowledge ◽  
Undergraduate Students ◽  
Morphological Characters ◽  
Fungal Species ◽  
Ease Of Use ◽  
Identification Accuracy ◽  
Difficulty Level ◽  
Identification System ◽  
Correct Identification

ABSTRACT Interactive keys are tools that aid research and technical work since identification of organisms has become increasingly present in the scientific and academic context. An interactive key was developed with the software Lucid v. 3.3 for the identification of eleven fungal species associated with onion, carrot, pepper and tomato seeds. It was based on a matrix composed of six features: crop, conidium, conidiophore, color of long conidiophore, color of mycelium and presence of setae, besides 21 character states. In addition, descriptions, illustrations and high-resolution photographs of the morphological characters and states were made available to aid in the correct identification of fungal species. Validation of the interactive key was performed by distinct groups of volunteers: (i) graduate students with prior knowledge and using the interactive key; (ii) undergraduate students with little prior knowledge and using the interactive key, and (iii) undergraduate students with little prior knowledge and using the conventional identification system such as the printed manuals used in seed pathology laboratories. We analyzed the time spent by each volunteer to evaluate 25 seeds infected with the fungal species in the key, as well as the percentage of success and the difficulty level for each participant. The high percentage of correct answers with the use of the interactive key and the ease of use by the volunteers confirmed its efficiency because there was an increase in the identification accuracy when compared to the conventional system. Furthermore, the rate of success and the difficulty level presented low variability within groups (i) and (ii). These results are a consequence of the interaction of the user with characteristics of the developed tool, such as high-resolution photographs, which faithfully reproduce the fungal characteristics observed in the seeds under a stereomicroscope. Thus, the interactive key presented here can aid in teaching, institutional and commercial research, inspection and certification of seeds, making diagnosis safer and more accurate. The key is available for free at https://keys.lucidcentral.org/keys/v3/seed_fungi/.

scholarly journals Defining high-resolution dredge fishing grounds with Automatic Identification System (AIS) data

2017 ◽  
Vol 30 ◽  
pp. 39 ◽  
Author(s):  
Damien Le Guyader ◽  
Cyril Ray ◽  
Françoise Gourmelon ◽  
David Brosset
Keyword(s):  
High Resolution ◽  
Data Access ◽  
Relevant Information ◽  
Fishing Effort ◽  
Automatic Identification ◽  
Identification System ◽  
Automatic Identification System ◽  
Local Decision ◽  
Bay Of Brest ◽  
Maritime Spatial Planning

High resolution estimates of bottom towed fishing gears are needed to provide relevant information for natural resource management, impact assessment and maritime spatial planning. The use of satellite-based vessel monitoring system (VMS) data is constrained by data access restrictions as well as rather coarse data resolution. This study focuses on mapping dredge gear fishing grounds using fishing effort estimates at the métier level based on automatic identification system (AIS) data. The performance of the approach was evaluated in terms of correct discrimination between fishing and non-fishing activities for known fishing positions as well as appropriate error propagation. The test was conducted in the Bay of Brest (France) in partnership with a committee of local fishers. The results identified dredge fishing grounds for great scallop (Pecten maximus) in the western part of the Bay of Brest and provided high-resolution information for scientists and local decision makers on the spatial and temporal seasonal variability of fishing effort. The proposed method is semi-automatic and generic making it suitable for other applications.

Newly Automated EPMA with Phase Identification System

2001 ◽  
Vol 7 (S2) ◽  
pp. 980-981
Author(s):  
S. Notoya ◽  
H. Takahashi ◽  
T. Okumura ◽  
C.H. Nielsen
Keyword(s):  
High Resolution ◽  
Optical Microscope ◽  
Image Display ◽  
Identification System ◽  
Phase Identification ◽  
Analysis Software ◽  
X Ray ◽  
Electron Probe Microanalyzer ◽  
Mouse Pointer ◽  
Live Image

We have developed a new Electron Probe Microanalyzer (EPMA), JXA-8100/8200, with improved basic capabilities such as X-ray intensities of wavelength dispersive spectrometers (WDS), imaging functions, automated functions and analysis software. Fig. 1 shows the appearance of JXA-8200, WD/ED combined microanalyzer. in this session, we report mainly on the improved imaging functions, automated functions and analysis software.The JXA-8100/8200 is the first EPMA in the world to feature 1280 x 1024 pixels high resolution live scanning image display. Regarding scanning image, two or four different signal live images, of course including X-ray images, can be displayed simultaneously. Further, image mixing is also possible to display. On the high resolution image, an operator can choose the probe position or the stage position by mouse clicking. The stage position can also be chosen on the optical microscope (OM) live image. Another new “Swing Mouse” function, which is the seamless movement of mouse pointer between the scanning image display and the computer display, has been developed.Advanced automated functions, such as autofocus, auto astigmatism and auto contrast brightness, are effective to optimize the scanning image.

scholarly journals Early Warning and Source Identification System Design for Chemical Spill Incidents of Jinhua River

2021 ◽  
Vol 787 (1) ◽  
pp. 012185
Author(s):  
Guangpeng Zhang ◽  
Tao Ding ◽  
Guangjie Zhan ◽  
Xinyi Du ◽  
Danjia Yan
Keyword(s):  
System Design ◽  
Early Warning ◽  
Source Identification ◽  
Identification System
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