Robotic Platform with Medical Applications in the Smart City Environment

Author(s):  
S.D. Grigorescu ◽  
F.C. Argatu ◽  
S.V. Paturca ◽  
C. Cepisca ◽  
G.C. Seritan ◽  
...  
2021 ◽  
pp. 2141007
Author(s):  
Mengyi Lian ◽  
Xiaowei Liu

Building information modeling (BIM) is one of the most exciting recent construction, engineering, and architecture developments. Built environments play a significant role in Smart City worldwide, and they are used to convey useful information to achieve smart city strategic goals. In modern project management, optimizing resources, BIM data integration, and data sharing in a smart city environment is challenging. Hence, in this paper, IoT-based Improved Building Information modeling (IoT-IBIM) has been proposed to overcome the challenges in building information modeling in modern project management for sustainable smart city applications. This paper discusses the efforts to create and integrate built-in environment data with IoT sensors for effective communication. The Internet of Things provides efficient resource control, increased efficiency, and improved human quality of life. As a result, the Internet of Things is a critical enabler of smart societies, including smart homes, smart cities, and smart factories. Building Information Modeling is an advanced asset allocation framework that generates high-quality output, reduces resource use, reduces environmental effects of development, and secures resources and availability for future generations. The experimental results show that the proposed IoT-IBIM method enhances the performance ratio and improves data integration and data sharing in a smart city environment.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 163301-163312 ◽  
Author(s):  
Fayez Alqahtani ◽  
Zafer Al-Makhadmeh ◽  
Omar Said ◽  
Amr Tolba

2020 ◽  
Vol 32 (4) ◽  
pp. 85-111
Author(s):  
Brij B. Gupta ◽  
Pooja Chaudhary ◽  
Shashank Gupta

Cross-site scripting is one of the notable exceptions effecting almost every web application. Hence, this article proposed a framework to negate the impact of the XSS attack on web servers deployed in one of the major applications of the Internet of Things (IoT) i.e. the smart city environment. The proposed framework implements 2 approaches: first, it executes vulnerable flow tracking for filtering injected malicious scripting code in dynamic web pages. Second, it accomplished trusted remark generation and validation for unveiling any suspicious activity in static web pages. Finally, the filtered and modified webpage is interfaced to the user. The prototype of the framework has been evaluated on a suite of real-world web applications to detect XSS attack mitigation capability. The performance analysis of the framework has revealed that this framework recognizes the XSS worms with very low false positives, false negatives and acceptable performance overhead as compared to existent XSS defensive methodologies.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 47962-47971 ◽  
Author(s):  
Shaheena Khatoon ◽  
Sk Md Mizanur Rahman ◽  
Majed Alrubaian ◽  
Atif Alamri

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