178 research outputs found

    Cognitive Machine Individualism in a Symbiotic Cybersecurity Policy Framework for the Preservation of Internet of Things Integrity: A Quantitative Study

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    This quantitative study examined the complex nature of modern cyber threats to propose the establishment of cyber as an interdisciplinary field of public policy initiated through the creation of a symbiotic cybersecurity policy framework. For the public good (and maintaining ideological balance), there must be recognition that public policies are at a transition point where the digital public square is a tangible reality that is more than a collection of technological widgets. The academic contribution of this research project is the fusion of humanistic principles with Internet of Things (IoT) technologies that alters our perception of the machine from an instrument of human engineering into a thinking peer to elevate cyber from technical esoterism into an interdisciplinary field of public policy. The contribution to the US national cybersecurity policy body of knowledge is a unified policy framework (manifested in the symbiotic cybersecurity policy triad) that could transform cybersecurity policies from network-based to entity-based. A correlation archival data design was used with the frequency of malicious software attacks as the dependent variable and diversity of intrusion techniques as the independent variable for RQ1. For RQ2, the frequency of detection events was the dependent variable and diversity of intrusion techniques was the independent variable. Self-determination Theory is the theoretical framework as the cognitive machine can recognize, self-endorse, and maintain its own identity based on a sense of self-motivation that is progressively shaped by the machine’s ability to learn. The transformation of cyber policies from technical esoterism into an interdisciplinary field of public policy starts with the recognition that the cognitive machine is an independent consumer of, advisor into, and influenced by public policy theories, philosophical constructs, and societal initiatives

    WiFi-Based Human Activity Recognition Using Attention-Based BiLSTM

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    Recently, significant efforts have been made to explore human activity recognition (HAR) techniques that use information gathered by existing indoor wireless infrastructures through WiFi signals without demanding the monitored subject to carry a dedicated device. The key intuition is that different activities introduce different multi-paths in WiFi signals and generate different patterns in the time series of channel state information (CSI). In this paper, we propose and evaluate a full pipeline for a CSI-based human activity recognition framework for 12 activities in three different spatial environments using two deep learning models: ABiLSTM and CNN-ABiLSTM. Evaluation experiments have demonstrated that the proposed models outperform state-of-the-art models. Also, the experiments show that the proposed models can be applied to other environments with different configurations, albeit with some caveats. The proposed ABiLSTM model achieves an overall accuracy of 94.03%, 91.96%, and 92.59% across the 3 target environments. While the proposed CNN-ABiLSTM model reaches an accuracy of 98.54%, 94.25% and 95.09% across those same environments

    Understanding, assessing, and facilitating entrepreneurship competence in the digital age

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    Entrepreneurship and entrepreneurship education become mainstream inside and outside business schools after scholarships and educators from this field made efforts in the past two decades. Nutrition of entrepreneurship competence is an emergency task for the economy and society especially during economic shock and uncertainty. Digital entrepreneurship competence brings new possibilities for learners living in this digital world. This study facilitates digital entrepreneurship and digital entrepreneurship competence as 21st-century skills at the higher education level, experimenting in Chinese universities and colleges. In addition, this research will help stakeholders in Germany and other countries whose learners lack such knowledge and skills. I propose a methodology set consisting of three main ingredients. Initially, a systematic review was undertaken by the researcher in collaboration with two educators who specialized in entrepreneurship theories and practice to extract insights on the utilization of educational technologies in the context of entrepreneurship education. In response to the current trend of educational technology, a comprehensive examination was conducted to scrutinize the regulations and potential of AI within entrepreneurship learning and teaching. Secondly, the present study endeavored to assess the effectiveness of virtual team learning in online entrepreneurship education during the COVID-19 pandemic, taking into consideration the dimensions of teamwork, taskwork, and information and communication technology. In the final investigation, a digital entrepreneurship training program was administered through an online platform, with the aim of obtaining both quantitative and qualitative feedback regarding the program’s effectiveness and assessing the participants’ digital entrepreneurship competence. The following presents a summary of each study: Regarding the systematic review on the utilization of educational technologies in entrepreneurship education, Study 1 uncovered that social media, serious games, and digital platforms emerged as three prominent technological approaches. In light of extensive application of artificial intelligence in various educational domains, Study 2 delved into its utilization within the context of entrepreneurship education. The findings indicated the prevalence of machine learning, big data analysis, and adaptive learning systems in this field. Meanwhile, the investigation identified potential prospects for the integration of natural language processing and chatbots in entrepreneurship teaching and learning. I evaluated online entrepreneurship education courses, supported by virtual teams from existing freely available learning content and multimedia materials. Evaluation of the content and materials is whether they fit the needs of educators and learners with various demographic backgrounds. Specifically, we evaluated the influence of gender and other demographic backgrounds on virtual team learning and its impact on entrepreneurship competence. Furthermore, experiential learning in online settings was explored in the field of entrepreneurship, focusing on the evaluation of an online practical entrepreneurship training program using the digital entrepreneurship competence framework. The research showed that digital opportunity identification competence is apparently improved from a complete novice to a nascent entrepreneur who understands the theory and practice of digital entrepreneurship. However, the effectiveness of online practical learning is limited because of participants’ isolation. If possible, tutorials and project guides are conducted online whereas experiential learning is partly moved into face-to-face contexts. To analyze entrepreneurship competence in the digital age, this thesis construct and discuss theoretical frameworks, namely entrepreneurship education, educational technology, and digital entrepreneurship competence. The current studies seldom analyze entrepreneurship competence in online entrepreneurship education programs. Therefore, this research attempts to understand, assess, and facilitate entrepreneurship competence and digital entrepreneurship competence in the digital age. The thesis consists of two qualitative studies (Study 1 and 3) and two quantitative studies (Study 2 and 4). This research aims to offer valuable insights for developing countries engaging in entrepreneurship education with limited resources, enabling the younger generation to navigate the path of venture creation. It holds practical and theoretical implications, establishing a solid foundation for online entrepreneurship education and fostering digital entrepreneurship competence. It is hoped that this thesis will inspire scholars and policy-makers to actively contribute to this field and work collaboratively

    Electronic Evidence and Electronic Signatures

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    In this updated edition of the well-established practitioner text, Stephen Mason and Daniel Seng have brought together a team of experts in the field to provide an exhaustive treatment of electronic evidence and electronic signatures. This fifth edition continues to follow the tradition in English evidence text books by basing the text on the law of England and Wales, with appropriate citations of relevant case law and legislation from other jurisdictions. Stephen Mason (of the Middle Temple, Barrister) is a leading authority on electronic evidence and electronic signatures, having advised global corporations and governments on these topics. He is also the editor of International Electronic Evidence (British Institute of International and Comparative Law 2008), and he founded the innovative international open access journal Digital Evidence and Electronic Signatures Law Review in 2004. Daniel Seng (Associate Professor, National University of Singapore) is the Director of the Centre for Technology, Robotics, AI and the Law (TRAIL). He teaches and researches information technology law and evidence law. Daniel was previously a partner and head of the technology practice at Messrs Rajah & Tann. He is also an active consultant to the World Intellectual Property Organization, where he has researched, delivered papers and published monographs on copyright exceptions for academic institutions, music copyright in the Asia Pacific and the liability of Internet intermediaries

    Using Active Learning to Teach Critical and Contextual Studies: One Teaching Plan, Two Experiments, Three Videos.

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    Since the 1970s, art and design education at UK universities has existedas a divided practice; on the one hand applying active learning in thestudio and on the other hand enforcing passive learning in the lecturetheatre. As a result, art and design students are in their vast majorityreluctant about modules that may require them to think, read and writecritically during their academic studies. This article describes, evaluatesand analyses two individual active learning experiments designed todetermine if it is possible to teach CCS modules in a manner thatencourages student participation. The results reveal that opting foractive learning methods improved academic achievement, encouragedcooperation, and enforced an inclusive classroom. Furthermore, andcontrary to wider perception, the article demonstrates that activelearning methods can be equally beneficial for small-size as well aslarge-size groups

    Head-Driven Phrase Structure Grammar

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    Head-Driven Phrase Structure Grammar (HPSG) is a constraint-based or declarative approach to linguistic knowledge, which analyses all descriptive levels (phonology, morphology, syntax, semantics, pragmatics) with feature value pairs, structure sharing, and relational constraints. In syntax it assumes that expressions have a single relatively simple constituent structure. This volume provides a state-of-the-art introduction to the framework. Various chapters discuss basic assumptions and formal foundations, describe the evolution of the framework, and go into the details of the main syntactic phenomena. Further chapters are devoted to non-syntactic levels of description. The book also considers related fields and research areas (gesture, sign languages, computational linguistics) and includes chapters comparing HPSG with other frameworks (Lexical Functional Grammar, Categorial Grammar, Construction Grammar, Dependency Grammar, and Minimalism)

    The evolution of language: Proceedings of the Joint Conference on Language Evolution (JCoLE)

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    Africa–Europe Cooperation and Digital Transformation

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    Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere. Digitalisation and digital technologies are not only essential for building competitive and dynamic economies; they transform societies, pose immense challenges for policymakers, and increasingly play a pivotal role in global power relations. Digital transformations have had catalytic effects on African and European governance, economies, and societies, and will continue to do so. The COVID-19 pandemic has already accelerated the penetration of digital tools all over the globe and is likely to be perceived as a critical juncture in how and to what purpose the world accepts and uses new and emerging technologies. This book offers a holistic analysis of how Africa and Europe can manage and harness digital transformation as partners in a globalised world. The authors shed light on issues ranging from economic growth, youth employment, and gender, to regulatory frameworks, business environments, entrepreneurship, and interest-driven power politics. They add much-needed perspectives to the debates that shape the two continents’ digital transformation and innovation environments. This book will interest practitioners working in the areas of innovation, digital technologies, and digital entrepreneurship, as well as students and scholars of international relations. It will also be relevant for policymakers, regulators, decision-makers, and leaders in Africa and Europe
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