PurposeThe impact of thermal comfort in educational buildings continues to be of major importance in both the design and construction phases. Given this, it is also equally important to understand and appreciate the impact of design decisions on post-occupancy performance, particularly on staff and students. This study aims to present the effect of IEQ on teachers’ performance. This study would provide thermal environment requirements to BIM-led school refurbishment projects.Design/methodology/approachThis paper presents a detailed investigation into the direct impact of thermal parameters (temperature, relative humidity and ventilation rates) on teacher performance. In doing so, the research methodological approach combines explicit mixed-methods using questionnaire surveys and physical measurements of thermal parameters to identify correlation and inference. This was conducted through a single case study using a technical college based in Saudi Arabia.FindingsFindings from this work were used to develop a model using an artificial neural network (ANN) to establish causal relationships. Research findings indicate an optimal temperature range between 23 and 25°C, with a 65% relative humidity and 0.4 m/s ventilation rate. This ratio delivered optimum results for both comfort and performance.Originality/valueThis paper presents a unique investigation into the effect of thermal comfort on teacher performance in Saudi Arabia using ANN to conduct data analysis that produced indoor environmental quality optimal temperature and relative humidity range.
Traditional authentication systems rely on the possession of a token, generally a password or smartcard. Token-based identity transactions are relatively easy to repudiate since unauthorized persons may possess the token. A system that can guarantee a user's presence during authentication would greatly enhance the nonreputability of these transactions. Biometrics can provide this strong link between users and their identities. By measuring and comparing a feature of the user, we can increase the assurance that the user is present during authentication.
Fingerprint biometrics are increasingly used for identity verification. However, these require a careful balance of accuracy and privacy that is missing in many implementations.This dissertation describes a new biometric matching system, the protection of an existing datatype, and a model for matching security with error correction codes.My research develops the Vaulted Verification (VV) system into Vaulted Fingerprint Verification (VFV) by implementing VV on a fingerprint minutia triangle representation.VFV is fully compatible with protected biometric datatypes. This is demonstrated by including PMCC, as well as a protected modification of PMCC. VFV allows for key exchange using the protected biometric template.Due to the importance of error correcting codes (ECC) in VFV, a model of security with ECC is developed. It is used to identify non-trivial potential attacker uses of ECC bits.To my parents and my family.
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