Deep Transfer Learning Applications in Intrusion Detection Systems: A Comprehensive Review

Globally, the external Internet is increasingly being connected to the contemporary industrial control system. As a result, there is an immediate need to protect the network from several threats. The key infrastructure of industrial activity may be protected from harm by using an intrusion detection system (IDS), a preventive measure mechanism, to recognize new kinds of dangerous threats and hostile activities. The most recent artificial intelligence (AI) techniques used to create IDS in many kinds of industrial control networks are examined in this study, with a particular emphasis on IDS-based deep transfer learning (DTL). This latter can be seen as a type of information fusion that merge, and/or adapt knowledge from multiple domains to enhance the performance of the target task, particularly when the labeled data in the target domain is scarce. Publications issued after 2015 were taken into account. These selected publications were divided into three categories: DTL-only and IDS-only are involved in the introduction and background, and DTL-based IDS papers are involved in the core papers of this review. Researchers will be able to have a better grasp of the current state of DTL approaches used in IDS in many different types of networks by reading this review paper. Other useful information, such as the datasets used, the sort of DTL employed, the pre-trained network, IDS techniques, the evaluation metrics including accuracy/F-score and false alarm rate (FAR), and the improvement gained, were also covered. The algorithms, and methods used in several studies, or illustrate deeply and clearly the principle in any DTL-based IDS subcategory are presented to the reader

Normative Isomorphism: Is Irish Academic Work-Life the Same in Different Institutional Types in the Universal Phase of Higher Education?

Academic work-life in the universal phase of higher education has reportedly involved an extreme intensification and diversification of academic roles. International empirical research supports the hypothesis that academic staff are spending more time at work, are reporting diminishing morale, and are experiencing erosion of their values of academic freedom, autonomy and collegiality. What has not yet been adequately investigated is the extent to which this experience of academic work-life is the same or different depending on institutional type, thus identifying the research problem addressed in this thesis. This study takes a historical investigative approach to the initial literature review, illustrating the fluid creation and re-creation of different institutional types, internationally and in Ireland, and describing the academic work-lives they define. The research employs social institutional theory to hypothesise that normative isomorphism is occurring at the academic staff level in different institutional types in Ireland, making them more homogenous. The study uses a comparative cross sectional research design to test a range of hypotheses through an extensive survey instrument. It employs a quantitative data analysis plan that facilitates controlling for other possible factors aside from institutional type that may influence academic work-lives, thereby isolating the particular influence of institutional type

Deep Learning Detected Nutrient Deficiency in Chili Plant

Chili is a staple commodity that also affects the Indonesian economy due to high market demand. Proven in June 2019, chili is a contributor to Indonesia's inflation of 0.20% from 0.55%. One factor is crop failure due to malnutrition. In this study, the aim is to explore Deep Learning Technology in agriculture to help farmers be able to diagnose their plants, so that their plants are not malnourished. Using the RCNN algorithm as the architecture of this system. Use 270 datasets in 4 categories. The dataset used is primary data with chili samples in Boyolali Regency, Indonesia. The chili we use are curly chili. The results of this study are computers that can recognize nutrient deficiencies in chili plants based on image input received with the greatest testing accuracy of 82.61% and has the best mAP value of 15.57%

Radial Basis Function Neural Network in Identifying The Types of Mangoes

Mango (Mangifera Indica L) is part of a fruit plant species that have different color and texture characteristics to indicate its type. The identification of the types of mangoes uses the manual method through direct visual observation of mangoes to be classified. At the same time, the more subjective way humans work causes differences in their determination. Therefore in the use of information technology, it is possible to classify mangoes based on their texture using a computerized system. In its completion, the acquisition process is using the camera as an image processing instrument of the recorded images. To determine the pattern of mango data taken from several samples of texture features using Gabor filters from various types of mangoes and the value of the feature extraction results through artificial neural networks (ANN). Using the Radial Base Function method, which produces weight values, is then used as a process for classifying types of mangoes. The accuracy of the test results obtained from the use of extraction methods and existing learning methods is 100%

Educational Theory in the 21st Century

This open access book reviews the effects of the twenty-first century scientific-technological and social developments on the educational theory. The first part handles the subject, focusing on technology and educational philosophy. In the second part, the implications of new human and social conceptions towards the education paradigms are examined. In the chapters of the last part of the book, more practical dimensions of education are discussed. Transforming school designs, school management, learning-teaching approaches and teacher competencies are discussed in the context of broader social, cultural and technological changes

Robotix-Academy Conference for Industrial Robotics (RACIR) 2019

Robotix-Academy Conference for Industrial Robotics (RACIR) is held in University of Liège, Belgium, during June 05, 2019. The topics concerned by RACIR are: robot design, robot kinematics/dynamics/control, system integration, sensor/ actuator networks, distributed and cloud robotics, bio-inspired systems, service robots, robotics in automation, biomedical applications, autonomous vehicles (land, sea and air), robot perception, manipulation with multi-finger hands, micro/nano systems, sensor information, robot vision, multimodal interface and human-robot interaction.

Modernity, Selfhood, and the Demonic: Anthropological Perspectives on "Chaos Magick" in the United Kingdom

The thesis is based upon fieldwork conducted in London (between 1997 - 2001) amongst the practitioners of "Chaos magick" -a form of magical practice which appeared in United Kingdom during the late 1970's as part of the wider neo-pagan and magical subculture. Chaos magicians utilise trance states as means of attaining an unmediated experience of the inchoate and indeterministic ground of being known as "Chaos". Within trance, Chaos magicians believe that they are able to transform both their perception and the substance of the world by magically reshaping the Chaos force in accordance with their own desires. Merged with the therapeutics of spirit possession, such practices also aim to render visible and subject to control the "demons" of the psyche - conceived of as the socially-inculcated fears, desires and patterns of behaviour which "possess" the magician's persona. I show that, for Chaos magicians, the demonic represents a highly ambivalent category through which the equally ambivalent and uncertain experience of modernity is mirrored and made explicable. Possession by alien and demonic powers may also be positively valued as a source of "creativity" and self-empowerment, allowing practitioners to construct contextual and contingent narratives of the self - narratives commensurable with the uncertainties and insecurities of their daily lives. I also demonstrate that the broadly therapeutic goals of Chaos magick are indented within a set of discursive practices that shape practitioners' sense of selfhood to the social, economic and ideological requirements of late modernity. As a consequence, the thesis challenges prior anthropological conceptions of the contemporary magical subculture as a subaltern discourse engaged in resisting the rationalising and alienating effects of modem consumer capitalism; in doing so, the thesis demonstrates that this subculture is neither "Irrational" nor "pre-modern", but does in fact recapitulate many of the core values and assumptions of modernity