scholarly journals RFID in Libraries: Automatic Identification and Data Collection Technology for Library Documents

2020 ◽  
Author(s):  
Timoshenko Igor
Keyword(s):  
Data Collection ◽  
Automatic Identification

scholarly journals THE IMPLEMENTATION OF AUTOMATIC IDENTIFICATION IN THE DISTRIBUTION PROCESS

2020 ◽  
Vol 15 (1) ◽  
pp. 59-64
Author(s):  
Lucia Madleňáková ◽  
Anna Paďourová
Keyword(s):  
Data Collection ◽  
Industry 4.0 ◽  
Data Exchange ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Chain Management ◽  
Distribution Process ◽  
Data Volume ◽  
Level Of Importance ◽  
Correct Data

Information is an important competitive tool, nowadays. Those, who dispose of them on time, gain the advantage of being able to take decisions sooner than competition. The recency and relevance of information is becoming a necessity also in the field of logistics chain management, especially the 100% traceability of the movement of shipments or goods is crucial not only for the distribution service provider but also for the customer who wants to know where his shipment or goods is. As “Industry 4.0” trends suggest, these requirements are increasingly extended to include data not only on the location of shipments, but on the identification of the owner of the goods, where the shipment was moved from and for what purpose and finally what triggered the activity. This “traceability” is based on the implementation of “perfect” information systems that must be filled with quality and correct data. In addition to data volume growing that will be generated by the various devices, same level of importance seems to be the electronic data exchange among stakeholders. The use of Automatic Identification Tools (AIDC) is the key to data collection in the field of logistics and distribution activities. The paper discusses the possibilities of implementing AIDC using RFID technology in the specific field.

scholarly journals Developing an automatic identification and early warning and monitoring web based system of fall army worm based on machine learning in developing countries

2019 ◽  
Vol 3 (1) ◽  
pp. 13-20
Author(s):  
Francis Chulu ◽  
Jackson Phiri ◽  
Mayumbo Nyirenda ◽  
Monica M. Kabemba ◽  
Phillip Nkunika ◽  
...  
Keyword(s):  
Machine Learning ◽  
Data Collection ◽  
Negative Impact ◽  
Automatic Identification ◽  
Web Based ◽  
Collection Process ◽  
Data Collection Process ◽  
World Food Security ◽  
Army Worm ◽  
The Web

To combat the fall Army worm (FAW-Spodoptera frugiperda) pest which has a negative impact on world food security, there is need to come up with methods that can be used alongside conventional methods of spraying. Therefore this paper proposes a machine learning based system for automatic identification and monitoring of Fall Army worm Moths. The system will aim to address challenges that are associated with trap based FAW monitoring such as manual data collection as the system will automate the data collection process. The study will aim to automate the data collection process by developing a machine learning algorithm for FAW moth identification. The study will develop web and mobile applications integrated with Geographic information system (GIS) technology in addition to trap automation. The tools developed in this study will aim to improve the accuracy and efficiency of FAW monitoring by reducing the aspect of human intervention. At the time of writing this paper, only the web based tool prototype has been developed, therefore this paper mostly focuses on the design of the web based tool. The paper also provides a brief quantification of the chosen machine learning technique to be used in the study.

scholarly journals Cross-Matching VIIRS Boat Detections with Vessel Monitoring System Tracks in Indonesia

2019 ◽  
Vol 11 (9) ◽  
pp. 995 ◽  
Author(s):  
Feng-Chi Hsu ◽  
Christopher D. Elvidge ◽  
Kimberly Baugh ◽  
Mikhail Zhizhin ◽  
Tilottama Ghosh ◽  
...  
Keyword(s):  
Data Collection ◽  
Monitoring System ◽  
Infrared Imaging ◽  
Automatic Identification ◽  
Identification System ◽  
Large Numbers ◽  
Long Line ◽  
Activity Types ◽  
The Cross ◽  
Cross Matching

A methodology had been proposed for cross-matching visible infrared imaging radiometer suite (VIIRS) boat detections (VBD) with vessel monitoring system (VMS) tracks. The process involves predicting the probable location of VMS vessels at the time of each VIIRS data collection with an orbital model. Thirty-two months of Indonesian VMS data was segmented into fishing and transit activity types and then cross-matched with the VBD record. If a VBD record is found within 700 m and 5 s of the predicted location, it is marked as a match. The cross-matching indicates that 96% of the matches occur while the vessel is fishing. Small pelagic purse seiners account for 27% of the matches. Other gear types with high match rates include hand line tuna, squid dip net, squid jigging, and large pelagic purse seiners. Low match rates were found for gillnet, trawlers, and long line tuna. There is an indication that VMS vessels using submersible lights can be identified based on consistently low average radiances and match rates under 45%. Overall, VBD numbers exceed VMS vessel numbers in Indonesia by a nine to one ratio, indicating that VIIRS detects large numbers of fishing boats under the 30 Gross Tonnage (GT) level set for the VMS requirement. The cross-matching could be used to identify “dark” vessels that lack automatic identification system (AIS) or VMS.

scholarly journals TRACEABILITY OF AIRCRAFT COMPONENTS STATE IN REAL TIME

2020 ◽  
pp. 32-42
Author(s):  
Yu. I. Buryak ◽  
M. P. Lyubovnikov
Keyword(s):  
Life Cycle ◽  
Data Collection ◽  
Real Time ◽  
Product Life Cycle ◽  
Technical Condition ◽  
Automatic Identification ◽  
Mobile Computer ◽  
Technical Parameters ◽  
Automated Technology ◽  
Software And Hardware

It is shown that the task of increasing the relevance, reliability and completeness of information on the technical condition of products must be solved within the framework of automation of data collection directly in the processes of the product life cycle. New approaches to the organization of information processes for tracking the technical condition of aircraft components (Aircraft) based on the widespread use of mobile computer devices, electronic workflow and automatic identification tools combined with the appropriate software components are proposed. Mathematical models and automated technology have been developed for organizing data collection and monitoring technical state parameters in real time. A software and hardware complex has been formed as a part of stationary and moving parts, which provides an increase in the reliability and efficiency of the technical parameters control of the aircraft components both within this stage and taking into account the previous stages of the life cycle. Examples of modeling and software implementation of automated technology for organizing data collection and monitoring the parameters of the technical condition in real time are given.

Electron Diffraction of Wet Biological Membranes

1974 ◽  
Vol 32 ◽  
pp. 158-159
Author(s):  
S.W. Hui ◽  
D.F. Parsons
Keyword(s):  
Electron Diffraction ◽  
Data Collection ◽  
Biological Membranes ◽  
Small Areas ◽  
Electron Diffraction Technique ◽  
Electron Microscopes ◽  
Collection Time ◽  
Camera Length

The development of the hydration stages for electron microscopes has opened up the application of electron diffraction in the study of biological membranes. Membrane specimen can now be observed without the artifacts introduced during drying, fixation and staining. The advantages of the electron diffraction technique, such as the abilities to observe small areas and thin specimens, to image and to screen impurities, to vary the camera length, and to reduce data collection time are fully utilized. Here we report our pioneering work in this area.

Automated electron tomography: from data collection to image processing

1995 ◽  
Vol 53 ◽  
pp. 26-27
Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  
Keyword(s):  
Image Processing ◽  
Data Collection ◽  
Structural Information ◽  
Imaging Technique ◽  
Electron Tomography ◽  
Ccd Camera ◽  
Automated Data Collection ◽  
Full Control ◽  
Transmission Electron ◽  
Amorphous Structures

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.

Accuracy of Four Language Analysis Procedures Performed Automatically

2001 ◽  
Vol 10 (2) ◽  
pp. 180-188 ◽  
Author(s):  
Steven H. Long ◽  
Ron W. Channell
Keyword(s):  
Automatic Identification ◽  
Published Data ◽  
Typically Developing ◽  
Language Impaired ◽  
Productivity Data ◽  
Language Analysis ◽  
Word Classes ◽  
Human Coder ◽  
Impaired Children ◽  
Metalinguistic Skills

Most software for language analysis has relied on an interaction between the metalinguistic skills of a human coder and the calculating ability of the machine to produce reliable results. However, probabilistic parsing algorithms are now capable of highly accurate and completely automatic identification of grammatical word classes. The program Computerized Profiling combines a probabilistic parser with modules customized to produce four clinical grammatical analyses: MLU, LARSP, IPSyn, and DSS. The accuracy of these analyses was assessed on 69 language samples from typically developing, speech-impaired, and language-impaired children, 2 years 6 months to 7 years 10 months. Values obtained with human coding and by the software alone were compared. Results for all four analyses produced automatically were comparable to published data on the manual interrater reliability of these procedures. Clinical decisions based on cutoff scores and productivity data were little affected by the use of automatic rather than human-generated analyses. These findings bode well for future clinical and research use of automatic language analysis software.

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