14,277 research outputs found
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large
dataset of off-axis iris regions and train a low-complexity deep neural
network. Although of low complexity the resulting network achieves a high level
of accuracy in iris region segmentation for challenging off-axis eye-patches.
Interestingly, this network is also shown to achieve high levels of performance
for regular, frontal, segmentation of iris regions, comparing favorably with
state-of-the-art techniques of significantly higher complexity. Due to its
lower complexity, this network is well suited for deployment in embedded
applications such as augmented and mixed reality headsets
Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies
The election voting system is one of the essential pillars of democracy to elect the representative for ruling the country. In the election voting system, there are multiple areas such as detection of fake voters, illegal activities for fake voting, booth capturing, ballot monitoring, etc., in which Industry 4.0 can be adopted for the application of real-time monitoring, intelligent detection, enhancing security and transparency of voting and other data during the voting. According to previous research, there are no studies that have presented the significance of industry 4.0 technologies for improving the electronic voting system from a sustainability standpoint. To overcome the research gap, this study aims to present literature about Industry 4.0 technologies on the election voting system. We examined individual industry enabling technologies such as blockchain, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) that have the potential to strengthen the infrastructure of the election voting system. Based upon the analysis, the study has discussed and recommended suggestions for the future scope such as: IoT and cloud computing-based automatic systems for the detection of fake voters and updating voter attendance after the verification of the voter identity; AI-based illegal, and fake voting activities detection through vision node; blockchain-inspired system for the data integrity in between voter and election commission and robotic assistance system for guiding the voter and also for detecting disputes in the premises of election booth
Surveillant assemblages of governance in massively multiplayer online games:a comparative analysis
This paper explores governance in Massively Multiplayer Online Games (MMOGs), one sub-sector of the digital games industry. Informed by media governance studies, Surveillance Studies, and game studies, this paper identifies five elements which form part of the system of governance in MMOGs. These elements are: game code and rules; game policies; company community management practices; player participatory practices; and paratexts. Together these governance elements function as a surveillant assemblage, which relies to varying degrees on lateral and hierarchical forms of surveillance, and the assembly of human and nonhuman elements.Using qualitative mixed methods we examine and compare how these elements operate in three commercial MMOGs: Eve Online, World of Warcraft and Tibia. While peer and participatory surveillance elements are important, we identified two major trends in the governance of disruptive behaviours by the game companies in our case studies. Firstly, an increasing reliance on automated forms of dataveillance to control and punish game players, and secondly, increasing recourse to contract law and diminishing user privacy rights. Game players found it difficult to appeal the changing terms and conditions and they turned to creating paratexts outside of the game in an attempt to negotiate the boundaries of the surveillant assemblage. In the wider context of self-regulated governance systems these trends highlight the relevance of consumer rights, privacy, and data protection legislation to online games and the usefulness of bringing game studies and Surveillance Studies into dialogue
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Open-Source, Open-Architecture SoftwarePlatform for Plug-InElectric Vehicle SmartCharging in California
This interdisciplinary eXtensible Building Operating System–Vehicles project focuses on controlling plug-in electric vehicle charging at residential and small commercial settings using a novel and flexible open-source, open-architecture charge communication and control platform. The platform provides smart charging functionalities and benefits to the utility, homes, and businesses.This project investigates four important areas of vehicle-grid integration research, integrating technical as well as social and behavioral dimensions: smart charging user needs assessment, advanced load control platform development and testing, smart charging impacts, benefits to the power grid, and smart charging ratepayer benefits
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