Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
378
result(s) for
"ios"
Sort by:
Distributed Tuning of Boundary Resources
The digital age has seen the rise of service systems involving highly distributed, heterogeneous, and resource-integrating actors whose relationships are governed by shared institutional logics, standards, and digital technology. The cocreation of service within these service systems takes place in the context of a paradoxical tension between the logic of generative and democratic innovations and the logic of infrastructural control. Boundary resources play a critical role in managing the tension as a firm that owns the infrastructure can secure its control over the service system while independent firms can participate in the service system. In this study, we explore the evolution of boundary resources. Drawing on Pickering’s (1993) and Barrett et al.’s (2012) conceptualizations of tuning, the paper seeks to forward our understanding of how heterogeneous actors engage in the tuning of boundary resources within Apple’s iOS service system. We conduct an embedded case study of Apple’s iOS service system with an in-depth analysis of 4,664 blog articles concerned with 30 boundary resources covering 6 distinct themes. Our analysis reveals that boundary resources of service systems enabled by digital technology are shaped and reshaped through distributed tuning, which involves cascading actions of accommodations and rejections of a network of heterogeneous actors and artifacts. Our study also shows the dualistic role of power in the distributed tuning process.
Journal Article
Technology Trends for Massive MIMO towards 6G
At the dawn of the next-generation wireless systems and networks, massive multiple-input multiple-output (MIMO) in combination with leading-edge technologies, methodologies, and architectures are poised to be a cornerstone technology. Capitalizing on its successful integration and scalability within 5G and beyond, massive MIMO has proven its merits and adaptability. Notably, a series of evolutionary advancements and revolutionary trends have begun to materialize in recent years, envisioned to redefine the landscape of future 6G wireless systems and networks. In particular, the capabilities and performance of future massive MIMO systems will be amplified through the incorporation of cutting-edge technologies, structures, and strategies. These include intelligent omni-surfaces (IOSs)/intelligent reflecting surfaces (IRSs), artificial intelligence (AI), Terahertz (THz) communications, and cell-free architectures. In addition, an array of diverse applications built on the foundation of massive MIMO will continue to proliferate and thrive. These encompass wireless localization and sensing, vehicular communications, non-terrestrial communications, remote sensing, and inter-planetary communications, among others.
Journal Article
Enhancing reliability and spectral efficiency in future wireless networks via intelligent omni-surface enhanced MU-MIMO cooperative hybrid NOMA
The growing demand for high-capacity next-generation networks drives the need for efficient and scalable multiple access schemes. This study proposes a unified integrated analytical framework for intelligent omni-surface (IOS)-enhanced multi-user MIMO cooperative hybrid NOMA (MU-MIMO-C-HNOMA) system employing maximal ratio transmission (MRT) at the gNodeB (gNB) to enhance reliability, throughput, and sum spectral efficiency (SSE). Closed-form mathematical models for outage probability and throughput expressions are derived, and an optimal power allocation strategy is formulated to maximize SSE under the dual impairments due to imperfect successive interference cancellation (iSIC) and hardware distortions (HWD). Crucially, the analysis establishes a compelling energy-efficient scaling paradigm, revealing that leveraging passive IOS elements is fundamentally superior to scaling active transmit antennas. Furthermore, the study validates real-world feasibility by demonstrating that practical discrete-phase and blind-IOS configurations offer robust performance that asymptotically approaches the ideal benchmarks. The proposed system with strong-weak strong-weak (SWSW) user pairing achieves SNR gains of approximately 0.36–3.14 dB for weaker user equipment (WUE) and 0.13–2.5 dB for stronger UE (SUE) at a target outage of
resulting in throughput gains of about 0.03 - 0.33 bps/Hz and SSE gains of 0.02 - 0.14 bps/Hz over other pairing schemes. Furthermore, optimal power allocation achieves 0.48 - 1.02 bps/Hz higher SSE than sub-optimal and minimum power allocation schemes, confirming robustness against dual-impairments due to iSIC and HWD effects. Compared to the conventional IOS-aided HNOMA system, the proposed framework demonstrates superior scalability, reliability, and performance, achieving up to 0.31 bps/Hz SSE improvement for two antennas, confirming its potential as a highly promising solution for next-generation wireless networks.
Journal Article
Developing conversational interfaces for iOS : add responsive voice control to your apps
\"Learn how to incorporate your own conversational interfaces into iOS applications. This book will help you work comfortably multiple frameworks, including Apple's Speech and SiriKit frameworks; Google's API. AI conversational interfaces platform; and Facebook's Wit.ai. You'll explore the basics of natural language processing on iOS and see how to develop sentiment analysis with Apple's new Core ML framework. You'll also understand the primary challenges conversational interfaces face, and how to future proof your design. With the introduction of SiriKit and the Speech framework, iOS developers now have huge opportunities to work with conversational interfaces in their apps. The latest advancements in natural language processing and machine learning allow for the development of complex conversational interfaces. This book incorporates all aspects of conversational interfaces on iOS--from voice transcription to natural language processing and entities extraction to text to speech commands.\"-- Provided by publisher.
Book
The challenges, approaches, and used techniques of CPS for manufacturing in Industry 4.0: a literature review
This work aims to review literature related to the latest cyber-physical systems (CPS) for manufacturing in the revolutionary Industry 4.0 for a comprehensive understanding of the challenges, approaches, and used techniques in this domain. Different published studies on CPS for manufacturing in Industry 4.0 paradigms through 2010 to 2019 were searched and summarized. We, then, analyzed the studies at a different granularity level inspecting the title, abstract, and full text to include in the prospective study list. Out of 626 primarily extracted relevant articles, we scrutinized 78 articles as the prospective studies on CPS for manufacturing in Industry 4.0. First, we analyzed the articles’ context to identify the major components along with their associated fine-grained constituents of Industry 4.0. Then, we reviewed different studies through a number of synthesized matrices to narrate the challenges, approaches, and used techniques as the key-enablers of the CPS for manufacturing in Industry 4.0. Although the key technologies of Industry 4.0 are the CPS, Internet of Things (IoT), and Internet of Services (IoS), the human component (HC), cyber component (CC), physical component (PC), and their HC-CC, CC-PC, and HC-PC interfaces need to be standardized to achieve the success of Industry 4.0.
Journal Article
ESMira: A decentralized open-source application for collecting experience sampling data
This paper introduces ESMira, a server and mobile app (Android, iOS) developed for research projects using experience sampling method (ESM) designs. ESMira offers a very simple setup process and ease of use, while being free, decentralized, and open-source (source code is available on GitHub). The ongoing development of ESMira started in early 2019, with a focus on scientific requirements (e.g., informed consent, ethical considerations), data security (e.g., encryption), and data anonymity (e.g., completely anonymous data workflow). ESMira sets itself apart from other platforms by both being free of charge and providing study administrators with full control over study data without the need for specific technological skills (e.g., programming). This means that study administrators can have ESMira running on their own webspace without needing much technical knowledge, allowing them to remain independent from any third-party service. Furthermore, ESMira offers an extensive list of features (e.g., an anonymous built-in chat to contact participants; a reward system that allows participant incentivization without breaching anonymity; live graphical feedback for participants) and can deal with complex study designs (e.g., nested time-based sampling). In this paper, we illustrate the basic structure of ESMira, explain how to set up a new server and create studies, and introduce the platform’s basic functionalities.
Journal Article