Automatic Traceability Research Articles

The traceability method of electronic transformer calibrators based on time series-weighted correlation degree extension integrating Hilbert phase-shift.

The traceability method directly affects the reliability and accuracy of the measurement of electronic transformers. The stability and unreliable traceability performance of analog devices would affect the traditional analog differential method. Thus, we propose a digital differential method combining a time series-weighted correlation degree extension integrating Hilbert phase-shift of four-term continuous third-derivative Nuttall window function, effectively suppressing the end effect problem and realizing the high-precision addition of the differential. Results of simulation experiments showed that the differential's deviation was <10-10, much less than that (1.32 × 10-4) due to the analog differential. The voltage and current ratio difference's combined standard uncertainty was 5.01 × 10-5 and 5.08 × 10-5, respectively, and 0.1718' in the phase error. Finally, an automatic traceability detection system was constructed. Compared with the traditional method, the accuracy and stability of the automatic system were better and could meet the traceability requirements for 0.05-accuracy electronic voltage transformer calibrator.

Automatic traceability link recovery via active learning

Traceability link recovery (TLR) is an important and costly software task that requires humans establish relationships between source and target artifact sets within the same project. Previous research has proposed to establish traceability links by machine learning approaches. However, current machine learning approaches cannot be well applied to projects without traceability information (links), because training an effective predictive model requires humans label too many traceability links. To save manpower, we propose a new TLR approach based on active learning (AL), which is called the AL-based approach. We evaluate the AL-based approach on seven commonly used traceability datasets and compare it with an information retrieval based approach and a state-of-the-art machine learning approach. The results indicate that the AL-based approach outperforms the other two approaches in terms of F-score.

Implementation of a RFID Technology-Based Automatic Traceability System for Industry 4.0

One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless technologies, such as wireless local area networks, sensor networks, and radiofrequency identification (RFID) systems, has favored the creation of mobile services related to the ??computing aspect. Therefore, this paper presents a model of the implementation of an electronic identification system based on RFID technology, for application in automatic traceability of products in a didactic manufacturing cell installed in the programmable logic controller (PLC) network laboratory of the São Paulo Institute, Brazil.

Implementation of a RFID Technology-Based Automatic Traceability System for Industry 4.0

One of the main problems encountered in production processes is data acquisition on the factory floor. With the increase in production complexity, the amount of data to be collected increases. Currently, data are collected both manually and automatically. The manual collection involves documentation in a folder and storing in a separate room. However, there are other types of data that are automatically recorded into an information system. The data are registered and processed in different systems, which depend on the production stage in which the data are collected. The evolution of wireless technologies, such as wireless local area networks, sensor networks, and radiofrequency identification (RFID) systems, has favored the creation of mobile services related to the ​​computing aspect. Therefore, this paper presents a model of the implementation of an electronic identification system based on RFID technology, for application in automatic traceability of products in a didactic manufacturing cell installed in the programmable logic controller (PLC) network laboratory of the São Paulo Institute, Brazil.

Personal Software Process with Automatic Requirements Traceability to Support Startups

This paper applies Personal Software Process (PSP) for software development activities, and uses PSP scripts to follow the activities in software development. In particular, we have adapted a development script in order to enable automatic traceability. The script is the cyclical process that is designed for developing a large program in a sequence of small incremental steps. Moreover, we have extended an XTraQue tool to enable an automatic traceability during using PSP. This enables the completeness of traceability during using PSP. The Part-of-Speech (POS) embedded XML-based templates of software artefacts for PSP-based development, that is, functional requirements (FR), use case, and class diagram are defined. We perform an explanatory case study in order to evaluate the effectiveness between manual and automatic traceability during the personal software process (PSP). In particular, the causal links between software artefacts created during software development are so-called traceability relations. The result evaluation are concerned with precision and recall measures on the creation of traceability relations.

Monitoring environmental performance of the forestry supply chain using RFID

It is estimated that wood raw material worth of approximately €5 billion is wasted annually in Europe. The major reason for this is that the raw material is not used in the most efficient way as information needed regarding the wood raw material is not available throughout the supply chain. An automatic traceability system makes it possible to utilise raw material information efficiently throughout the forestry-wood production chain and to maximize the raw material yield, and to optimise and to monitor the environmental impact, by linking the relevant information to the traced objects. This paper describes novel RFID technology and traceability solutions that have been developed for the wood products industry. RFID-marking connects the physical objects with their database counterparts thus allowing automatic tracing of the objects. The architecture is needed to the dynamic and decentralised nature of the wood industry. The developed novel RFID based technology allows tracing of individual logs from the tree felling to the sawing of the logs at the saw mill. By combining the traceability and process information systems, new methods are enabled for analysing the performance of the supply chain. As an example, the environmental performance of a product can be traced and analysed even on an individual level. This means that not only the performance from the own production of a manufacturer will be accessible, but also the upstream processes that constitute the product value chain and the life cycle performance for the product leaving the manufacturer.