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44 articles for “fire protection systems”
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Study of Fire Safety Management for Hospitals in Amravati City
Abstract: Hospitals are considered a place of hope and offers sense of security in the aftermath of a disaster situation. Safe hospitals have symbolic social value; losing a health facility leads to a sense of insecurity and social instability. Disaster-resilient hospitals must be able to protect the lives of patients and staff and continue to function. Hospitals need to ensure structural safety, non-structural safety and functional safety. The responsibility to take …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 3, 2015 · pp. 17–16 Read article
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Data Security using Cloud Computing Adaption Framework
Abstract: AbstractIt is important to provide real-time data security for huge amount of data in cloud computing. A recent survey on cloud security stated that security of users’ data has the highest priority as well as concern. This can be able to achieve with an approach, which is systematic, adoptable and well structured. Therefore, here a framework called as Cloud Computing Adoption Framework (CCAF) has been developed which has been customized …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 25–32 Read article
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Review on the Effects of Chemical Compounds Toxicity on Workers in Chemical Laboratories.
Abstract: Chemical laboratories are considered high-risk work environments due to the wide range of chemicals that workers handle, which may be toxic, corrosive, or flammable. Improper handling of these substances can lead to serious health problems, ranging from mild irritation to death in cases of exposure to chemical compounds such as phenols and amines, which cause various types of lung and laryngeal cancers and respiratory diseases in laboratory workers who are …
Published in International Journal of Toxins and Toxics · Vol. 3, Issue 2, 2026 · pp. 17–26 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article