| 1. |
- Abuimara, Tareq, et al.
(författare)
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Detailed Case Studies
- 2023
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Ingår i: Occupant-Centric Simulation-Aided Building Design. - 9781000865752 ; , s. 257-367
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Wireless body area networks (WBANs) are one of the key technologies that support the development of pervasive health monitoring (remote patient monitoring systems), which has attracted more attention in recent years. These WBAN applications requires stringent security requirements as they are concerned with human lives. In the recent scenario of the corona pandemic, where most of the healthcare providers are giving online services for treatment, DDoS attacks become the major threats over the internet. This chapter particularly focusses on detection of DDoS attack using machine learning algorithms over the healthcare environment. In the process of attack detection, the dataset is preprocessed. After preprocessing the dataset, the cleaned dataset is given to the popular classification algorithms in the area of machine learning namely, AdaBoost, J48, k-NN, JRip, Random Committee and Random Forest classifiers. Those algorithms are evaluated independently and the results are recorded. Results concluded that J48 outperform with accuracy of 99.98% with CICIDS dataset and random forest outperform with accuracy of 99.917, but it takes the longest model building time. Depending on the evaluation performance the appropriate classifier is selected for further DDoS detection at real-time.
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| 2. |
- Bukovszki, Viktor, et al.
(författare)
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Coding Engines in Participatory Social Housing Design-A Case to Revisit Pattern Languages
- 2021
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Ingår i: Sustainability. - : MDPI AG. - 2071-1050. ; 13:6
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Tidskriftsartikel (refereegranskat)abstract
- Participation has been touted as a critical instrument for both citizen empowerment and responsibility-sharing in sustainability. In architecture, participation allows for the progression of green building to sustainable habitation that integrates environmental, economic, and social dimensions. However, participation in practice rarely delegates meaningful decisions to marginalized groups and is mostly a one-sided process. This study seeks to investigate which factors of the participatory method afford both empowerment and behavioral change to a sustainable lifestyle in low-income groups. To do so, a case study of designing a social housing estate in Hungary is presented, where participatory design was used to codevelop a building that considers and adjusts to the sustainable lifestyle envisioned by the future residents. A coding engine based on the concept of pattern languages was developed that places conditions and experience of everyday activities at the center of design, translating them to spatial features. As a result, a focus group of social housing tenants and cohousing experts were able to define explicit shared spaces, allocate square meters to them, and articulate legible design criteria. Of the early-stage design decisions, 45% were made with or by the participants, and the bilateral process made it possible to convince the tenants to adopt a more sustainable habitation format.
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