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9 results for “Safety Metrics”
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Research ArticleOpen accessEvery word in the titleA GQM Based Approach towards the Development of Metrics for Software SafetyKotti Jayasri, Panchumarthy SeetharamaiahSoftware sometimes safety-critical if it resides in a safety-critical computer systems and it causes or contributes to hazards. Therefore, Safety-critical software intensive systems require verification and validation to confirm that they function as per the safety requirements. Software Safety is a combination of many factors. Metrics are commonly used in engineering as measures for the performance of a system on … …Journal of Computer Science, Vol. 11, Issue 6 · 30 Sep 2015 · 6,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-NFV for Smart Digital and Secure Physical Structures in E-Government, Healthcare, and Network SystemsHayder Abdulsattar Nahi, Ebtehal Akeel Hamed, Rusul A. Salman, Akmam Majed MosaThis paper proposed a combined model that melds Blockchain technology with Network Function Virtualization (NFV) to promote many areas, such as smart, secure, and scalable physical and digital infrastructures in E-Government, Healthcare, and Network Systems. The model treats the principal objections in conventional systems, including centralization, slowed service deployment, and restricted safety. By employing decentralized Digital Identity Decentralized identifiers (DIDs), … …Journal of Computer Science, Vol. 22, Issue 4 · 21 Apr 2026 · 1,319 accessesView PDFCite
Research ArticleOpen accessIn the abstractError Identification and Mitigation Analysis Method Using HFACS on VR HMDNkingo June Thomas, Yan SuHuman error has long been recognized as a key factor influencing safety, performance, and efficiency in complex tasks, including those involving advanced technologies. In the context of Virtual Reality (VR) Head-Mounted Displays (HMDs), which are increasingly applied in fields such as aviation maintenance, the presence of human errors can compromise both user experience and operational reliability. This paper presents a … …Journal of Aircraft and Spacecraft Technology, Vol. 9, Issue 1 · 24 Nov 2025 · 2,937 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Privacy Preservation Using Improved Squeezenet Based Data Sanitization and Improved Lyrebird Optimization-Based Optimal Key GenerationSmita Sharma, Sanjay TyagiMaintaining privacy in the cloud is critical, which implies reliable and effective models that are adapted to the difficulties presented by cloud settings. This paper introduces a comprehensive privacy preservation model tailored specifically for cloud environments, comprising five important phases such as data acquisition, normalization, feature extraction, sanitization and restoration. It begins with the meticulous collection of data from diverse … …Journal of Computer Science, Vol. 21, Issue 7 · 20 Aug 2025 · 3,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of the Smart City Architecture, Speed and Traffic Density of Vehicles on the Performances of VanetsAbdallah Rhattoy, Mohamed Lahmer, Idriss ChanaVehicular Ad-hoc Networks (VANET) is one of the emerging and actual research fields in automotive companies and Intelligent Transportation Systems (ITS) designers. In the Smart City the presence of such networks opens the way for a wide range of applications such as safety applications, mobility and connectivity for both driver and passengers to exploit the transport systems in a smoothly … …Journal of Computer Science, Vol. 13, Issue 11 · 15 Nov 2017 · 7,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractRouting and the Impact of Group Mobility Model in VANETsRaad S. Al-QassasGroup vehicular applications could play a vital role in our life, whether these applications are safety-oriented or convenience-oriented applications. The group concept has also been used in support of many solutions in VANETs. Reference Point Group Mobility model (RPGM) is a popular group mobility model and has been used heavily in the literature. In order to study the impact of … …Journal of Computer Science, Vol. 12, Issue 4 · 17 May 2016 · 7,159 accessesView PDFCite
Research ArticleOpen accessIn the abstractTRAFFIC CONTROLLED-DEDICATED SHORT RANGE COMMUNICATION: A SECURE COMMUNICATION USING TRAFFIC CONTROLLED DEDICATED SHORT RANGE COMMUNICATION MODEL IN VEHICULAR AD HOC NETWORKS FOR SAFETY RELATED SERVICESK. Chandramohan, P. KamalakkannanTo increase the road safety and secure communication among the vehicles in the network environment, Dedicated Short Range Communication (DSRC) is followed. Nowadays, research over DSRC is dramatically increased for enhancing the road safety applications. The main task of DSRC is to protect the vehicles by communicating the warning message regarding the vehicle changing conditions, traffic occurrence and dangers over … …Journal of Computer Science, Vol. 10, Issue 7 · 17 Jun 2014 · 6,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach to Modeling Software Safety in Safety-Critical SystemsBen Swarup Medikonda, Seetha Ramaiah PanchumarthySoftware for safety-critical systems has to deal with the hazards identified by safety analysis in order to make the system safe, risk-free and fail-safe. Software safety is a composite of many factors. Problem statement: Existing software quality models like McCall’s and Boehm’s and ISO 9126 were inadequate in addressing the software safety issues of real time safety-critical embedded systems. At … …Journal of Computer Science, Vol. 5, Issue 4 · 30 Apr 2009 · 7,732 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEnhancing Dam Safety and Management: Long Short-Term Memory Based Predictive Models for Accurate Alert ForecastingNisha C. M, N. ThangarasuDam management and early alert systems are critical for effective water resource management. Accurate prediction of dam alert signals facilitates proactive decision-making, thereby aiding in the effective management and reduction of potential risks linked to dam operations. Within this research, Long Short-Term Memory (LSTM) networks are utilized to forecast dam alert signals issued from the dam by leveraging daily parameters, … …Journal of Computer Science, Vol. 22, Issue 1 · 6 Feb 2026 · 1,626 accessesView PDFCite