Cyber-Physical Systems integrate hardware withsoftware in complex applications. To mitigate the complexity, engineers rely on model-based systems engineering approaches. Updates and function enhancements lead to freq...
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Physiological status diagnosis plays an important role in clinical practice. Different personal information hinders the practical application heavily. To address this issue, we propose a tensor-based physiological sta...
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ISBN:
(数字)9781665490429
ISBN:
(纸本)9781665490429
Physiological status diagnosis plays an important role in clinical practice. Different personal information hinders the practical application heavily. To address this issue, we propose a tensor-based physiological status diagnosis approach, fused the subject-variant information with physiological data. the subject-variant information guided similarity information matrix is employed to regularize the tensor-based formulation so that the subject-variant information can be appropriately adopted. We proposed an alternating direction method of multipliers (ADMM) inbuilt withthe block coordinate descent (BCD) algorithm to solve this formulation. A real-case dataset has been used to validate the proposed diagnosis method, which shows satisfactory results compared with other existing methods.
River network management presents a significant challenge in the field of water conservancy, and the subsequent advancements in digital technology offer a promising avenue for addressing this challenge. However, the u...
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We study optimization problems on a continuous decision space using the Ordinal Transformation framework. the original method was proposed to exploit the advantages of bi-fidelity simulation models, so observations fr...
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ISBN:
(数字)9781665490429
ISBN:
(纸本)9781665490429
We study optimization problems on a continuous decision space using the Ordinal Transformation framework. the original method was proposed to exploit the advantages of bi-fidelity simulation models, so observations from the low-fidelity can efficiently guide sampling on the high-fidelity model. However, this framework only worked on a discrete decision space. We extend the framework to continuous cases and through preliminary analysis, we show promising performance and present future research directions.
this paper focuses on dataset class imbalances to address Named Entity Recognition (NER) difficulties in low-resource languages like Malayalam. the main goal is to draw attention to how important data sampling is for ...
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Millions of new cases of breast cancer are discovered worldwide each year, which is a serious health risk. For treatment options to be directed and patient outcomes to be improved, a timely and correct diagnosis is es...
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Cyber physical systems security is gaining vital importance and hence insider attacks pose a major threat to cyber-physical systems, allowing attackers to cause significant harm while evading detection. In the propose...
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Ceiling Radiation Cooling Panel (CRCP) is an effective mean of reducing building energy consumption while improving indoor thermal comfort. Although this technology is currently widely used, there is a lack of relevan...
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this project aims to develop a solar powered auto irrigation system that incorporates image processing techniques to monitor and maintain the health of the plants. the system utilizes solar energy to power the irrigat...
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[Context/Motivation] Crowd-based Requirements engineering (CrowdRE) promises to overcome limitations of traditional requirements engineering by actively involving a larger number of users. A common theme in CrowdRE re...
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ISBN:
(纸本)9783031573262;9783031573279
[Context/Motivation] Crowd-based Requirements engineering (CrowdRE) promises to overcome limitations of traditional requirements engineering by actively involving a larger number of users. A common theme in CrowdRE research is the development and deployment of online platforms where users can autonomously provide their feedback about software. [Problems] Current platforms only provide minimal guidance regarding the topics mentioned in the feedback. therefore, it is difficult tomap the feedback to existing requirements and identify gaps. [Principal ideas] To address the problems, we present a systematic process for collecting feedback through a variety of structured questions and an online platform which supports the process. We evaluate the process and the platform in the large-scale interdisciplinary research project SMART-AGE. [Contribution] To our best knowledge, this is the first platform that gathers feedback from a large number of users simultaneously through structured queries. Our contributions include a tailored list of questions for feedback collection, an analysis of how the question characteristics influence the answers and an evaluation of the user acceptance. Our findings indicate that boththe quality and quantity of feedback are high, with variations based on the characteristics of the questions. Additionally, our platform is well accepted by its users.
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