scholarly journals A novel AE algorithm-based approach for the detection of cracks in spot welding in view of on-line monitoring: case study

Author(s):  
Slah Yaacoubi ◽  
Fethi Dahmene ◽  
Mahjoub El Mountassir ◽  
Abd Ennour Bouzenad

Abstract The detection of cracks in spot welding is a major issue especially on-line. This paper deals with this topic using acoustic emission monitoring. It proposes an approach based on Shannon entropy with a novel criterion that allows increasing the detection sensitivity. A data-based model is built, coded and then applied on acoustic emission signals. The obtained crack detection results are satisfactory. The cracks are revealed using fluorescent dye penetrant, which enables validating the method. A flowchart of whole the proposed approach is described so that practitioners can benefit from the authors experience, towards successful implementation in laboratory as well as in production-line. The current approach is applied on resistance spot welding as a case of study, but it could be applicable in non-stationary environment such as other kinds of spot welding, and more hopefully for other manufacturing processes.

1987 ◽  
Vol 26 (02) ◽  
pp. 73-76 ◽  
Author(s):  
Kathryn Rowan ◽  
P. Byass ◽  
R. W. Snow

SummaryThis paper reports on a computerised approach to the management of an epidemiological field trial, which aimed at determining the effects of insecticide-impregnated bed nets on the incidence of malaria in children. The development of a data system satisfying the requirements of the project and its implementation using a database management system are discussed. The advantages of this method of management in terms of rapid processing of and access to data from the study are described, together with the completion rates and error rates observed in data collection.


Author(s):  
Robekhah Harun ◽  
Zetty Harisha Harun ◽  
Laura Christ Dass

The increase in student enrolment and the need  to cater to students of diverse backgrounds have led to the adoption of blended learning in many higher learning institutions. Blended learning, which allows both face to face interaction and on-line delivery, has been adopted into many curricula. One such institution is University Technology MARA which is slowly introducing features of blended learning in its course syllabus beginning with practice to online assessments. However, to ensure successful implementation of blended learning as part of the curricula, there are several aspects for consideration such as learner and teacher readiness for blended learning. This paper examines issues regarding the use of blended learning as a delivery method at UiTM Kedah . The discussion in this paper focuses on learner’ readiness and perceptions of the blended learning environment. The data collected for this study are responses from learners to a questionnaire survey. The research findings form the basis for recommendations for the development of learning and teaching practices using blended learning approaches to enhance learners' learning experiences.  


2007 ◽  
Vol 2 (4) ◽  
Author(s):  
A. Hurlimann

This paper reports results from a study comparing perceived risk associated with various recycled water uses in two Australian locations, both in the state of Victoria: the capital city Melbourne, and Bendigo a regional urban centre. Both locations are experiencing ‘drought’, but Bendigo is experiencing this in a more acute manner. A case study is used in each location. Both case studies involve future use of recycled water in new commercial buildings. An on-line survey was used to measure attitudes to recycled water of the future occupants of both buildings. The study found perceived risk associated with 11 uses of recycled water increased as the use became increasingly personal. Interestingly, no difference in perceived risk associated with 11 uses of recycled water was found between locations. Prior experience (use) of recycled water was found to be a significant and positive factor in reducing risk perception. Various attitudinal variables were found to be significant influences on perceived risk. Results indicate that reducing perceived risk of recycled water use may increase satisfaction with its use.


Author(s):  
Markus M Bugge ◽  
Fazilat Siddiq

Abstract In the literature on mission-oriented innovation supply side and tech-oriented approaches have been complemented by broader and more inclusive societal approaches. Here, it is highlighted that both directionality and broad anchoring of diverse stakeholders across private, public, and civic domains are key to successful implementation. Still, it is unclear how these dimensions relate and unfold in practice. Using digital literacy in education as an example of mission-oriented innovation, this paper investigates what prerequisites and capabilities are needed to envision and govern such processes. Based upon a case study of innovative teaching practices in twenty-five classes at ten primary schools in Norway, the paper finds that the motivation, dedication, and engagement of the teachers is not primarily related to the digital technologies themselves, but to the professional and pedagogical anchoring of the digital teaching tools. The mobilization of the professionalism of the teachers is enabled by a process of balanced empowerment.


Author(s):  
Zuzhen Ji ◽  
Dirk Pons ◽  
John Pearse

Successful implementation of Health and Safety (H&S) systems requires an effective mechanism to assess risk. Existing methods focus primarily on measuring the safety aspect; the risk of an accident is determined based on the product of severity of consequence and likelihood of the incident arising. The health component, i.e., chronic harm, is more difficult to assess. Partially, this is due to both consequences and the likelihood of health issues, which may be indeterminate. There is a need to develop a quantitative risk measurement for H&S risk management and with better representation for chronic health issues. The present paper has approached this from a different direction, by adopting a public health perspective of quality of life. We have then changed the risk assessment process to accommodate this. This was then applied to a case study. The case study showed that merely including the chronic harm scales appeared to be sufficient to elicit a more detailed consideration of hazards for chronic harm. This suggests that people are not insensitive to chronic harm hazards, but benefit from having a framework in which to communicate them. A method has been devised to harmonize safety and harm risk assessments. The result was a comprehensive risk assessment method with consideration of safety accidents and chronic health issues. This has the potential to benefit industry by making chronic harm more visible and hence more preventable.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 405
Author(s):  
Marcos Lupión ◽  
Javier Medina-Quero ◽  
Juan F. Sanjuan ◽  
Pilar M. Ortigosa

Activity Recognition (AR) is an active research topic focused on detecting human actions and behaviours in smart environments. In this work, we present the on-line activity recognition platform DOLARS (Distributed On-line Activity Recognition System) where data from heterogeneous sensors are evaluated in real time, including binary, wearable and location sensors. Different descriptors and metrics from the heterogeneous sensor data are integrated in a common feature vector whose extraction is developed by a sliding window approach under real-time conditions. DOLARS provides a distributed architecture where: (i) stages for processing data in AR are deployed in distributed nodes, (ii) temporal cache modules compute metrics which aggregate sensor data for computing feature vectors in an efficient way; (iii) publish-subscribe models are integrated both to spread data from sensors and orchestrate the nodes (communication and replication) for computing AR and (iv) machine learning algorithms are used to classify and recognize the activities. A successful case study of daily activities recognition developed in the Smart Lab of The University of Almería (UAL) is presented in this paper. Results present an encouraging performance in recognition of sequences of activities and show the need for distributed architectures to achieve real time recognition.


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