Programmable Logic Controllers (PLCs) are crucial in industrial automation, making proficiency in their use an essential skill for engineering students. Choosing the right platform for teaching PLC programming in univ...
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ISBN:
(纸本)9798350349795;9798350349788
Programmable Logic Controllers (PLCs) are crucial in industrial automation, making proficiency in their use an essential skill for engineering students. Choosing the right platform for teaching PLC programming in universities, however, may be challenging. this paper summarizes, compares and evaluates various software platforms used in universities. the leading platforms could be identified based on a defined criteria framework encompassing cost, accessibility, learning curve, industry relevance, supported languages, and additional features. through detailed examination and discussion, the platforms that offer the most efficient and effective learning experience for PLC programming education in universities could be identified. this selection should further be justified by considering additional factors like instructor experience, student preferences, institutional support, and geographical location. this paper not only highlights the strengths and weaknesses of different platforms but also provides valuable insights and recommendations for universities seeking to optimize their PLC programming curriculum. the findings hold the potential to enhance the quality of PLC programming education, better preparing students for successful careers in automation-driven industries.
the proposed work is a therapeutic system based on the Internet of Medical things (IoMT) designed for an accurate and efficient management of Parkinson9;s disease. the system is proposed to use advanced techniques ...
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Extracting multiple kinds of knowledge from large ship technical specification texts plays an important role in improving the efficiency of designers in acquiring and applying knowledge. In view of the huge number of ...
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作者：
Picek, RubenUniversity of Zagreb
Faculty of Organization and Informatics Department of Information Systems Development Varaždin Croatia
the idea of low-code/no-code (LCNC) platforms is not new. It roots back in time of softwareengineering approach called Model Driven Development (MDD) [1]. But since new technological development, growing business dem...
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We tried to assess the actual demand for biomedical engineers (BMEs) in Tanzania comparing it withthe figure of 7,000 BMEs reported by the Tanzanian Minister of Education in 2017. To estimate the present demand and w...
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ISBN:
(纸本)9783031616242;9783031616259
We tried to assess the actual demand for biomedical engineers (BMEs) in Tanzania comparing it withthe figure of 7,000 BMEs reported by the Tanzanian Minister of Education in 2017. To estimate the present demand and whether existing degree programs would cover it an extensive literature review was conducted. In addition, both a quantitative and a qualitative survey answered by 30 Tanzanian BMEs was analyzed. Local staffing guidelines, the number of registered hospitals and results of the survey were used to further calculate the current staffing requirements considering degree courses offered in this field and the associated number of graduates. Our results show an actual need of at least 2,500 BME graduates which can be covered within 11 years by the existing degree programs. However, it remains open whether the present training courses will meet the demand also in the face of the actual rapid growth of technologization in the healthcare sector. We conclude that our solidly based results highlight the imperative for further measures in order to enhance the future development of the biomedical engineering sector in Tanzania.
Automatic speech recognition (ASR) for the Turkish language faces significant challenges due to its agglutinative structure and diverse phonetic variations. In this study, we evaluate the performance of OpenAI9;s W...
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the proceedings contain 161 papers. the topics discussed include: intrusion detection model for university networks based on BP neural network;research on deep forgery defense technology based on artificial intelligen...
ISBN:
(纸本)9798400718137
the proceedings contain 161 papers. the topics discussed include: intrusion detection model for university networks based on BP neural network;research on deep forgery defense technology based on artificial intelligence security;a survey of information network security research from the perspective of big data;research on blockchain and attribution algorithm for advertising privacy protection;SymFL-Net: branch information enhanced network protocol fuzzing;a flow for Bluetooth data secure transmission process based on private algorithm and national secret algorithm;cluster routing protocol of wireless sensor network based on virtual cluster heads and improved differential evolution algorithm;a fingerprint scheme for deep neural network models based on adversarial samples;and an intellectual property protection platform based on blockchain technology.
LinkedIn is the largest professional network in the world. As such, it can serve to build bridges between practitioners, whose daily work is softwareengineering (SE), and researchers, who work to advance the field of...
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ISBN:
(纸本)9798400704994
LinkedIn is the largest professional network in the world. As such, it can serve to build bridges between practitioners, whose daily work is softwareengineering (SE), and researchers, who work to advance the field of softwareengineering. We know that such a metaphorical bridge exists: SE research findings are sometimes shared on LinkedIn and commented on by software practitioners. Yet, we do not know what state the bridge is in. therefore, we quantitatively and qualitatively investigate how SE practitioners and researchers approach each other via public LinkedIn discussions and what both sides can contribute to effective science communication. We found that a considerable proportion of LinkedIn posts on SE research are written by people who are not the paper authors (39%). Further, 71% of all comments in our dataset are from people in the industry, but only every second post receives at least one comment at all. based on our findings, we formulate concrete advice for researchers and practitioners to make sharing new research findings on LinkedIn more fruitful.
In the past recent years, social value or social impact has been an increasing trend among social enterprises and public sectors. Making many organizations are required to evaluate and report the social and economic v...
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software logs play a vital role in ensuring the reliability and availability of large-scale software systems. In recent years, researchers have made significant efforts to build log analysis approaches to manage softw...
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ISBN:
(纸本)9798400705007
software logs play a vital role in ensuring the reliability and availability of large-scale software systems. In recent years, researchers have made significant efforts to build log analysis approaches to manage software systems. However, these approaches focus on log compression, log parsing and log anomaly detection. In the current context, engineers continue to spend substantial time and effort on resolving errors once anomalous logs have been detected. To achieve truly automated software system management and high-level Artificial Intelligence for IT Operations (AIOps), it's necessary to bridge the gap between anomalous logs and their resolutions. In this paper, we propose a novel framework LogExpert to automatically generate recommended resolutions for anomalous logs. Specifically, we build a log recognizer to utilize the wealth of softwareknowledge in technical forums such as Stack Overflow (SO). In addition, LogExpert combines the great power of a Large Language Model (LLM) with domain-specific knowledge to generate the resolution. We conducted a preliminary evaluation of our framework on datasets from SO. Our log recognizer achieves the F1 score of 0.936. Our lexical metrics and human evaluation show the overall LogExpert framework achieves excellent performance in log-based resolution generation.
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