3 research outputs found
INTEGRATING CMP-BLOCKCHAIN WITH NLP AND MACHINE LEARNING FOR TRUST VERIFICATION AND EVENT DETECTION
No full textAn integral part of our everyday lives is spent on social networks, and one of the most important parts of these networks is the so-called social reviewing system (SRS), which allows us to access data, usually in the form of reviews. The significance of social networks necessitates that they be trustworthy and secure, preventing assaults and misuses and allowing users to freely utilise the information they provide. False reviews are a major weapon in the fight against the reputation system. Since even verified members of the network are capable of launching such attacks, a strong defence is to take advantage of trust management by giving each user a trust level and then having them use it to evaluate the collected data. Because it is subjective and difficult to completely automate the process of detecting improper behaviours, trust management within the framework of SRSs is especially complex. Despite several proposals in the existing literature, this matter has not yet been fully addressed. By using the innovative notion of time-dependent and content-dependent crown consensus and modelling trust management as a multicriteria multiexpert decision making, this work proposes a remedy against mendacious reviews that integrates fuzzy logic with the theory of evidence. Even when faced with sockpuppet assaults, our method proved to be more effective than the primary methodologies described in related literature
Radiation Sensing Using Chalcogenide Glass Materials
No full textabstract: The dissolution of metal layers such as silver into chalcogenide glass layers such as germanium selenide changes the resistivity of the metal and chalcogenide films by a great extent. It is known that the incorporation of the metal can be achieved by ultra violet light exposure or thermal processes. In this work, the use of metal dissolution by exposure to gamma radiation has been explored for radiation sensor applications. Test structures were designed and a process flow was developed for prototype sensor fabrication. The test structures were designed such that sensitivity to radiation could be studied. The focus is on the effect of gamma rays as well as ultra violet light on silver dissolution in germanium selenide (Ge30Se70) chalcogenide glass. Ultra violet radiation testing was used prior to gamma exposure to assess the basic mechanism. The test structures were electrically characterized prior to and post irradiation to assess resistance change due to metal dissolution. A change in resistance was observed post irradiation and was found to be dependent on the radiation dose. The structures were also characterized using atomic force microscopy and roughness measurements were made prior to and post irradiation. A change in roughness of the silver films on Ge30Se70 was observed following exposure. This indicated the loss of continuity of the film which causes the increase in silver film resistance following irradiation. Recovery of initial resistance in the structures was also observed after the radiation stress was removed. This recovery was explained with photo-stimulated deposition of silver from the chalcogenide at room temperature confirmed with the re-appearance of silver dendrites on the chalcogenide surface. The results demonstrate that it is possible to use the metal dissolution effect in radiation sensing applications.Dissertation/ThesisM.S. Electrical Engineering 201
Urban Infrastructure Design and Heat Vulnerability: Rethinking Infrastructure in Mesa, Arizona
No full textabstract: As the number of heat waves are expected to increase significantly into the future in the U.S. Southwest, new insight is needed into how urban infrastructure can be repositioned to protect people. In the Phoenix metro area infrastructure have largely been deployed over the past half century, during a time when climate change was not a concern. Now, as the county struggles to protect people from heat, there is a need to reassess how existing and new infrastructure can be positioned to reduce health impacts while improving sustainability. Using a neighborhood in Mesa, Arizona as a case study, we assess how changes to transportation infrastructure, building infrastructure, and landscaping can reduce heat exposure. A number of strategies are considered including the optimal deployment of heat refuges, deploying less convective surface materials, and deploying more thermally preferable building materials. The suite of strategies could be considered by cities throughout the Phoenix metro area
