A Comprehensive Survey of Deep Learning in Remote Sensing: Theories, Tools and Challenges for the Community

In recent years, deep learning (DL), a re-branding of neural networks (NNs), has risen to the top in numerous areas, namely computer vision (CV), speech recognition, natural language processing, etc. Whereas remote sensing (RS) possesses a number of unique challenges, primarily related to sensors and applications, inevitably RS draws from many of the same theories as CV; e.g., statistics, fusion, and machine learning, to name a few. This means that the RS community should be aware of, if not at the leading edge of, of advancements like DL. Herein, we provide the most comprehensive survey of state-of-the-art RS DL research. We also review recent new developments in the DL field that can be used in DL for RS. Namely, we focus on theories, tools and challenges for the RS community. Specifically, we focus on unsolved challenges and opportunities as it relates to (i) inadequate data sets, (ii) human-understandable solutions for modelling physical phenomena, (iii) Big Data, (iv) non-traditional heterogeneous data sources, (v) DL architectures and learning algorithms for spectral, spatial and temporal data, (vi) transfer learning, (vii) an improved theoretical understanding of DL systems, (viii) high barriers to entry, and (ix) training and optimizing the DL.Comment: 64 pages, 411 references. To appear in Journal of Applied Remote Sensin

A Survey for Graphic Design Intelligence

Graphic design is an effective language for visual communication. Using complex composition of visual elements (e.g., shape, color, font) guided by design principles and aesthetics, design helps produce more visually-appealing content. The creation of a harmonious design requires carefully selecting and combining different visual elements, which can be challenging and time-consuming. To expedite the design process, emerging AI techniques have been proposed to automatize tedious tasks and facilitate human creativity. However, most current works only focus on specific tasks targeting at different scenarios without a high-level abstraction. This paper aims to provide a systematic overview of graphic design intelligence and summarize literature in the taxonomy of representation, understanding and generation. Specifically we consider related works for individual visual elements as well as the overall design composition. Furthermore, we highlight some of the potential directions for future explorations.Comment: 10 pages, 2 figure

Benchmark Portfolio for ASCI 451/851: Livestock on Range and Pasture, Fall 2021

The aim of this portfolio is twofold: first, the portfolio serves to provide a means for the author to reflect on and improve their approach to teaching an ACE 10 course. The Livestock on Range and Pasture course (ASCI 451/851) serves seniors and graduate students with a major and/or minor in Animal Science, Grazing Livestock Systems, Agronomy and Horticulture, or Range. Since taking over the course, the last two semesters have included students primarily from Animal Science or Agribusiness with a major or minor in Grazing Livestock Systems, respectively. This Peer Review of Teaching project evaluated student feedback from the experiential learning component of the course which was data compiled from a survey at the end of the trip. The second learning evaluation is from the lecture component of the course that incorporates the Ranch Plan Assignment and post-course survey responses. Through the portfolio process, it has allowed the author to re-evaluate course objectives, add peer-review processes, be purposeful with surveys/student evaluations, and dive into what implementations and changes can be integrated to make this course and the final project better

IoT and Industry 4.0 technologies in Digital Manufacturing Transformation

The evolution of internet of things, cyber physical system, digital twin and artificial intelligence is stimulating the transformation of the product-centric processes toward smart control digital service-oriented ones. With the implementation of artificial intelligence and machine learning algorithms, IoT has accelerated the movement from connecting devices to the Internet to collecting and analyzing data by using sensors to extract data throughout the lifecycle of the product, in order to create value and knowledge from the huge amount of the collected data, such as the knowledge of the product performance and conditions. The importance of internet of things technology in manufacturing comes from its ability to collect real time data and extract valuable knowledge from these huge amount of data which can be supported through the implementation of smart IoT-based servitization framework which was presented in this research together with a 10-steps approach diagram. Moreover, literature review has been carried out to develop the research and deepen the knowledge in the field of IoT, CPS, DT and Artificial Intelligence, and then interviews with experts have been conducted to validate the contents, since DT is a quite new technology, so there are different points of view about certain concepts of this technology. The main scope and objective of this research is to allow organizational processes and companies to benefit form the value added information that can be achieved through the right implementation of advanced technologies such as IoT, DT, CPS, and artificial intelligence which can provide financial benefits to the manufacturing companies and competitive advantages to make them stand among the other competitors in the market. The effectiveness of such technologies can not only improve the financial benefits of the companies, but the workers\u2019 safety and health through the real time monitoring of the work environment. Here in this research the main aim is to present the right frameworks that can be used in the literature through companies and researchers to allow them to implement these technologies correctly in the boundaries of their businesses. In addition to that, the Smart factory concept, as introduced in the context of Industry 4.0, promotes the development of a new interconnected manufacturing environment where human operators cooperate with machines. While the role of the operator in the smart factory is substantially being rediscussed, the industrial approach towards safety and ergonomics still appears frequently outdated and inadequate. This research approaches such topic referring to the vibration risk, a well-known cause of work-related pathologies, and proposes an original methodology for mapping the risk exposure related to the performed activities. A miniaturized wearable device is employed to collect vibration data, and the obtained signals are segmented and processed in order to extract the significant features. An original machine learning classifier is then employed to recognize the worker\u2019s activity and evaluate the related exposure to vibration risks. Finally, the results obtained from the experimental analysis demonstrate feasibility and the effectiveness of the proposed methodology

The brand, culture & stakeholder-based brand management phenomenon: an international Delphi study

This thesis was submitted for the degree of Docter of Philosophy and awarded by Brunel University.Most recently in academic literature, over the past decade, it has been observed that the cultural approach to brand management represents a new school of thought. This has emerged from relational and community based brand perspectives: which chart the rising role, significance and influence in brand management of connected and savvy consumers. Furthermore, the researcher has identified that economic migrancy; the increase in multi-racial and multicultural relations, evident in childbirth; urbanism and urbanization; Globalization; conspicuous branded consumption; and Web2.0 continue to drive new methods and channels for information exchanges, collaboration and societal understanding. These in turn are shaping and changing the way in which branding, management and consumption are being understood and practiced. Brands have gravitated towards a position of offering individual and societal meaning. In doing so they have become cultural artefacts and language shapers. In tandem the conceptual argument for a brand being understood and used as a ‘human’ has grown in prominence. Collectively, these represent a global cultural phenomenon where the management of brands appears to be a cultural, diffused and self-defined practice. The purpose of this study was to examine this identified phenomenon in greater detail, from a brand management perspective. The aim was to investigate the nature of the relationship between culture and brands – to the benefit of brand managers. The method of qualitative investigation elicited iterated views from an international panel of academics and practitioners -­ in the form of a 16 month Expert Delphi Study. Through the Delphi process, they were encouraged to arrive at a consensus of opinions and understanding. Findings of this doctoral study suggest that culture and brands share strong relationship bonds, brought into existence by human desires. Equally, brands and culture both have the ability to influence each other. Furthermore, the successful management of brands requires a cultural approach, which mediates dynamic and complex networks of brand stakeholder relations. It was concluded that the understandings of brands, culture and management have to take into account: context, space and time – as porous boundaries of transience and transcendence. A new, grounded theoretical framework for brand management was developed - which took its inspiration from Aristotle’s Praedicamenta. In addition, alternative criteria for collecting and analysing biographical data were proposed

An exploration of the cultural context and consequences of perceptions of illness and health-seeking behaviour of the Baloch

Human beliefs about health and illness structure the explanations for health and illness in a society and these explanations rationalise preventive or therapeutic strategies. The purpose of this research was to discover, identify and understand the perceptions of health, illness and health seeking behaviour of the Baloch people in a cultural perspective. More specifically, it was to document their perception regarding the origin and cause of illness and disease as revealed in their system of disease-classification and their etiological categories. It was also to describe the context in which Baloch access the traditional health care system as well as conventional health care. Participant observations and in-depth interviews were the tools for data collection in this ethnographic study. Four districts of Pakistani Balochistan were selected for fieldwork. Traditional or folk healers of different categories, medical professionals, sufferers, family heads, community elders, tribal chiefs and medical doctors were interviewed in depth during fieldwork and many socio-cultural phenomena and ritual healing practices were participated in and observed. It was observed that Baloch beliefs regarding health and illness revolve either on the concept of natural causes that are mainly due to humoral imbalance or supernatural causes: spirit possession, sorcery or evil eye. In contemporary Balochistan, despite the availability of the basic health care system in the majority of Baloch settlements, for all practical purposes, Baloch use their traditional medical practices alongside biomedicine. These medical practices mainly consist of herbal remedies and spiritual healing practices. Folk medical beliefs are inseparable from other elements of Baloch cultural life and in this context health planners and medical practitioners in Balochistan, mutually can do much to balance and integrate biomedicine and folk and traditional medicine. Working together, they can optimise the benefits for their client populations

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

With an increase in deep learning-based methods, the call for explainability of such methods grows, especially in high-stakes decision making areas such as medical image analysis. This survey presents an overview of eXplainable Artificial Intelligence (XAI) used in deep learning-based medical image analysis. A framework of XAI criteria is introduced to classify deep learning-based medical image analysis methods. Papers on XAI techniques in medical image analysis are then surveyed and categorized according to the framework and according to anatomical location. The paper concludes with an outlook of future opportunities for XAI in medical image analysis.Comment: Submitted for publication. Comments welcome by email to first autho