7,432 research outputs found
Beam scanning by liquid-crystal biasing in a modified SIW structure
A fixed-frequency beam-scanning 1D antenna based on Liquid Crystals (LCs) is designed for application in 2D scanning with lateral alignment. The 2D array environment imposes full decoupling of adjacent 1D antennas, which often conflicts with the LC requirement of DC biasing: the proposed design accommodates both. The LC medium is placed inside a Substrate Integrated Waveguide (SIW) modified to work as a Groove Gap Waveguide, with radiating slots etched on the upper broad wall, that radiates as a Leaky-Wave Antenna (LWA). This allows effective application of the DC bias voltage needed for tuning the LCs. At the same time, the RF field remains laterally confined, enabling the possibility to lay several antennas in parallel and achieve 2D beam scanning. The design is validated by simulation employing the actual properties of a commercial LC medium
Machine learning and mixed reality for smart aviation: applications and challenges
The aviation industry is a dynamic and ever-evolving sector. As technology advances and becomes more sophisticated, the aviation industry must keep up with the changing trends. While some airlines have made investments in machine learning and mixed reality technologies, the vast majority of regional airlines continue to rely on inefficient strategies and lack digital applications. This paper investigates the state-of-the-art applications that integrate machine learning and mixed reality into the aviation industry. Smart aerospace engineering design, manufacturing, testing, and services are being explored to increase operator productivity. Autonomous systems, self-service systems, and data visualization systems are being researched to enhance passenger experience. This paper investigate safety, environmental, technological, cost, security, capacity, and regulatory challenges of smart aviation, as well as potential solutions to ensure future quality, reliability, and efficiency
Lost in the City? - A Scoping Review of 5G Enabled Location-Based Urban Scenarios
5G mobile network technologies and scenarios with the associated innovations receive growing interest among academics and practitioners. Current literature on 5G technologies discusses several scenarios and specific chances and challenges. However, 5G literature is fragmented and not systematically reviewed. We conducted a scoping review on 5G applications in urban scenarios. We reviewed 1,394 papers and identified 20 studies about urban logistics and emergency indoor localization. Our review accumulates current academic knowledge on these scenarios and identifies six further research directions in four research fields. It reveals several further research opportunities, e.g., regarding trust and privacy concerns. We review and discuss 5G literature for academics and practitioners, contribute towards more tailored 5G research and reflect on cost- efficient 5G applications in urban scenarios
Key technologies for safe and autonomous drones
Drones/UAVs are able to perform air operations that are very difficult to be performed by manned aircrafts. In addition, drones' usage brings significant economic savings and environmental benefits, while reducing risks to human life. In this paper, we present key technologies that enable development of drone systems. The technologies are identified based on the usages of drones (driven by COMP4DRONES project use cases). These technologies are grouped into four categories: U-space capabilities, system functions, payloads, and tools. Also, we present the contributions of the COMP4DRONES project to improve existing technologies. These contributions aim to ease dronesâ customization, and enable their safe operation.This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 826610. The JU receives support from the European Unionâs Horizon 2020 research and innovation programme and Spain, Austria, Belgium, Czech Republic, France, Italy, Latvia, Netherlands. The total project budget is 28,590,748.75 EUR (excluding ESIF partners), while the requested grant is 7,983,731.61 EUR to ECSEL JU, and 8,874,523.84 EUR of National and ESIF Funding. The project has been started on 1st October 2019
Intelligent architecture to support second generation general accounting
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementThis study aimed to innovate the world of accounting software. After so many years, accountants are faced
with an unbelievable amount of work, which is not always productive, effective and efficient for both the
accountant and the company that provided him with the data required to carry out the accounting. There is
already accounting software with various automation processes, from ornamentation to profitability analysis
and management reporting. There is also software that is updated in accordance with the accounting laws,
i.e., the platform changes its mechanisms according to the changes in the law.
Despite the existence of this software, manual work remains, and the amount of information accountants are
faced with is still very large. It is difficult for accountants to do a 100% reliable job with so much information
and data they have. One of the most common situations in the accounting world is undoubtedly the
miscalculation or forgetting of some financial or non-financial data found in accounting operations (income
statements, balance sheets, etc.). To render accounting operations efficient, effective and productive, errorfree
and 100% reliable, an intelligent architecture has been developed to support second generation general
accounting. This architectural design was developed with a view to make the existing software smarter with
the help of artificial intelligence.
A study was carried out on accounting keys and concepts, on AI and main process automation techniques to
build the model. With these studies it was intended to acquire all possible requirements for the creation of the
architecture. Towards the end of the thesis the model was validated
Coworking through the Pandemic: Flexibly Yours
Coworking can be defined as a paid for service (usually) providing shared workspace and amenities to users. When the pandemic hit, owing to the business modelâs in-person foundations of physical proximity and shared amenities, the coworking industry was expected to be seriously impacted. Yet fast forward, and as the pandemic has played out, coworking businesses are uniquely positioned in this uncertain and changing workscape.
This dissertation presents one of the first academic explorations into how independent coworking businesses fared in the initial year of the pandemic. Specifically, the research explores the following questions:
1. How did independent coworking businesses manage and adapt to the pandemic?
2. What is virtual coworking and what are the experiences of workers in these virtual coworking spaces?
3. How does coworking flexibility affect social support and connection?
Using a critically interpretive poststructural approach, this ethnography included virtual fieldwork and interviews. Sixty hours of virtual participant observation and 30 loosely structured interviews were conducted with coworking stakeholders (i.e., owner-operators, managers, and users) over videoconferencing platforms. Secondary data included written fieldnotes and coworking documents.
Results capture the strategies used by coworking business owner-operators and managers to sustain their businesses and the attendant relationships with coworking users, irrespective of whether or not a physical location could be provided under pandemic lockdowns. Given the expansion of coworking businesses into virtual service offerings, a key contribution of my research is the finding that co-location in a physical coworking space is not necessary to cultivate vibes and a sense of community. By removing the physical infrastructure of coworking, the virtual coworking product in which I participated points to both a reinforcement of and an emphasis on the centrality of social connection, support, and community. By de-centering the priority of a physical co-location, I conceptualize coworking businesses as commodified support infrastructuresâaffective atmospheres produced through the entanglement of human bodies, other living things, objects, and technologies in a space.
In viewing coworking businesses as fluid affective atmospheres of support, my research adds to the emerging coworking scholarship that attends to the atmospheric qualities of coworking, the role of affective labour, and the possibilities of encounters and interactions as bodies, objects, and technologies interconnect. My results reinforce the deep ambivalence of coworking, capturing tensions between productivity and sociality, and a blurring of boundaries between professional and private, and work and leisure. The analysis also suggests that the inherent flexibility, informality, turnover, and autonomy in coworking practices can make creating stable social connections and support difficult. Finally, the COVID-19 crisis brought to light how coworking lies primarily outside the scope of current employment legislation, which includes occupational health and safety, employment standards, and workersâ compensation. In the absence of well-defined policy directions, coworking business owner-operators and managers made individualized decisions, thereby ultimately downloading further risk and responsibility onto their coworking users
A Secure and Distributed Architecture for Vehicular Cloud and Protocols for Privacy-preserving Message Dissemination in Vehicular Ad Hoc Networks
Given the enormous interest in self-driving cars, Vehicular Ad hoc NETworks (VANETs) are likely to be widely deployed in the near future. Cloud computing is also gaining widespread deployment. Marriage between cloud computing and VANETs would help solve many of the needs of drivers, law enforcement agencies, traffic management, etc. The contributions of this dissertation are summarized as follows: A Secure and Distributed Architecture for Vehicular Cloud: Ensuring security and privacy is an important issue in the vehicular cloud; if information exchanged between entities is modified by a malicious vehicle, serious consequences such as traffic congestion and accidents can occur. In addition, sensitive data could be lost, and human lives also could be in danger. Hence, messages sent by vehicles must be authenticated and securely delivered to vehicles in the appropriate regions. In this dissertation, we present a secure and distributed architecture for the vehicular cloud which uses the capabilities of vehicles to provide various services such as parking management, accident alert, traffic updates, cooperative driving, etc. Our architecture ensures the privacy of vehicles and supports secure message dissemination using the vehicular infrastructure. A Low-Overhead Message Authentication and Secure Message Dissemination Scheme for VANETs: Efficient, authenticated message dissemination in VANETs are important for the timely delivery of authentic messages to vehicles in appropriate regions in the VANET. Many of the approaches proposed in the literature use Road Side Units (RSUs) to collect events (such as accidents, weather conditions, etc.) observed by vehicles in its region, authenticate them, and disseminate them to vehicles in appropriate regions. However, as the number of messages received by RSUs increases in the network, the computation and communication overhead for RSUs related to message authentication and dissemination also increases. We address this issue and present a low-overhead message authentication and dissemination scheme in this dissertation. On-Board Hardware Implementation in VANET: Design and Experimental Evaluation: Information collected by On Board Units (OBUs) located in vehicles can help in avoiding congestion, provide useful information to drivers, etc. However, not all drivers on the roads can benefit from OBU implementation because OBU is currently not available in all car models. Therefore, in this dissertation, we designed and built a hardware implementation for OBU that allows the dissemination of messages in VANET. This OBU implementation is simple, efficient, and low-cost. In addition, we present an On-Board hardware implementation of Ad hoc On-Demand Distance Vector (AODV) routing protocol for VANETs. Privacy-preserving approach for collection and dissemination of messages in VANETs: Several existing schemes need to consider safety message collection in areas where the density of vehicles is low and roadside infrastructure is sparse. These areas could also have hazardous road conditions and may have poor connectivity. In this dissertation, we present an improved method for securely collecting and disseminating safety messages in such areas which preserves the privacy of vehicles. We propose installing fixed OBUs along the roadside of dangerous roads (i.e., roads that are likely to have more ice, accidents, etc., but have a low density of vehicles and roadside infrastructure) to help collect data about the surrounding environment. This would help vehicles to be notified about the events on such roads (such as ice, accidents, etc.).Furthermore, to enhance the privacy of vehicles, our scheme allows vehicles to change their pseudo IDs in all traffic conditions. Therefore, regardless of whether the number of vehicles is low in the RSU or Group Leader GL region, it would be hard for an attacker to know the actual number of vehicles in the RSU/GL region
A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey
The growing interest in the Metaverse has generated momentum for members of
academia and industry to innovate toward realizing the Metaverse world. The
Metaverse is a unique, continuous, and shared virtual world where humans embody
a digital form within an online platform. Through a digital avatar, Metaverse
users should have a perceptual presence within the environment and can interact
and control the virtual world around them. Thus, a human-centric design is a
crucial element of the Metaverse. The human users are not only the central
entity but also the source of multi-sensory data that can be used to enrich the
Metaverse ecosystem. In this survey, we study the potential applications of
Brain-Computer Interface (BCI) technologies that can enhance the experience of
Metaverse users. By directly communicating with the human brain, the most
complex organ in the human body, BCI technologies hold the potential for the
most intuitive human-machine system operating at the speed of thought. BCI
technologies can enable various innovative applications for the Metaverse
through this neural pathway, such as user cognitive state monitoring, digital
avatar control, virtual interactions, and imagined speech communications. This
survey first outlines the fundamental background of the Metaverse and BCI
technologies. We then discuss the current challenges of the Metaverse that can
potentially be addressed by BCI, such as motion sickness when users experience
virtual environments or the negative emotional states of users in immersive
virtual applications. After that, we propose and discuss a new research
direction called Human Digital Twin, in which digital twins can create an
intelligent and interactable avatar from the user's brain signals. We also
present the challenges and potential solutions in synchronizing and
communicating between virtual and physical entities in the Metaverse
IoMT-Blockchain based Secured Remote Patient Monitoring Framework for Neuro-Stimulation Device
Biomedical Engineering's Internet of Medical Things (IoMT) is helping to
improve the accuracy, dependability, and productivity of electronic equipment
in the healthcare business. Real-time sensory data from patients may be
delivered and subsequently analyzed through rapid development of wearable IoMT
devices, such as neuro-stimulation devices with a range of functions. Data from
the Internet of Things is gathered, analyzed, and stored in a single location.
However, single-point failure, data manipulation, privacy difficulties, and
other challenges might arise as a result of centralization. Due to its
decentralized nature, blockchain (BC) can alleviate these issues. The viability
of establishing a non-invasive remote neurostimulation system employing
IoMT-based transcranial Direct Current Stimulation is investigated in this work
(tDCS). A hardware-based prototype tDCS device has been developed that can be
operated over the internet using an android application. Our suggested
framework addresses the problems of IoMTBC-based systems, meets the criteria of
real-time remote patient monitoring systems, and incorporates literature best
practices in the relevant fields.Comment: 8 Figures and 2 Table
2023-2024 Boise State University Undergraduate Catalog
This catalog is primarily for and directed at students. However, it serves many audiences, such as high school counselors, academic advisors, and the public. In this catalog you will find an overview of Boise State University and information on admission, registration, grades, tuition and fees, financial aid, housing, student services, and other important policies and procedures. However, most of this catalog is devoted to describing the various programs and courses offered at Boise State
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