Computational Physics (Lecture 18)
Neural networks explained with the example of feedforward vs. recurrent networks. Feedforward networks propagate data, while recurrent models allow loops for cascade effects. Recurrent networks are less influential but closer to the brain's function. Introduction to handwritten digit classification
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Proposed Approach for MAC Address Assignment in IEEE 802.11
IEEE 802.1CQ is working on a mechanism to assign local MAC address blocks to end nodes specifically related to IEEE 802.11 standards. The current draft lacks a pre-association mechanism for IEEE 802.11 stations to obtain a local MAC address before association. The proposed remedy suggests specifying
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IEEE 802.11-23/2092r2 AIML Report Summary
This document conveys the findings of the AIML Technical Report for IEEE 802.11 networks. It covers AIML use cases in WLANs, performance enhancement opportunities, IEEE 802.11 feature requirements, standard impacts, and proposed next steps for AIML integration. AIML's significance in various technol
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Understanding Computer Networks: Types and Characteristics
In the realm of computer networks, nodes share resources through digital telecommunications networks. These networks enable lightning-fast data exchange and boast attributes like speed, accuracy, diligence, versatility, and vast storage capabilities. Additionally, various types of networks exist tod
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Proposal for Random Access Efficiency Enhancement in IEEE 802.11be Networks
This document presents a proposal for enhancing random access efficiency in IEEE 802.11be networks through a Random-Access NFRP (RA-NFRP) principle. The proposal addresses the challenges of low efficiency in the current UORA procedure and introduces modifications based on the 802.11ax standard to im
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Understanding Artificial Neural Networks From Scratch
Learn how to build artificial neural networks from scratch, focusing on multi-level feedforward networks like multi-level perceptrons. Discover how neural networks function, including training large networks in parallel and distributed systems, and grasp concepts such as learning non-linear function
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Exploring Machine Learning Applications in Enhancing 802.11 Performance
This document delves into recent research on utilizing machine learning (ML) to enhance 802.11 performance, focusing on emerging use cases and the increased interest in ML applications in the field since 2019. It outlines the ML areas frequently used, such as supervised learning (SL) and reinforceme
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Discussion on IEEE 802.11be MLD Architecture Alignment
IEEE 802.11 TGbe is exploring MLDs within the 802 architecture, focusing on aligning MLD operations with existing 802.11 features for enhanced compatibility. The MLD architecture aims to facilitate the flow of data between MAC SAPs and PHY SAPs, extending the current framework for APs and non-AP STA
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IEEE 802.11-23-1689r1 Vice Chair Report - November 2023 Plenary Session
The document presents the Vice Chair report by Jon Rosdahl from Qualcomm at the IEEE 802.11-23-1689r1 meeting in Honolulu on November 17, 2023. It covers agenda items, session information, meeting logistics, successful meeting protocols, and important event summaries. Additionally, it provides detai
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Discussion on Enabling MIMO in IMMW: IEEE 802.11-23/1991
Enabling MIMO in mmWave technology is essential for improving throughput performance. While IEEE 802.11ad supports single-stream communications, 802.11ay introduces SU-MIMO, MU-MIMO, and hybrid beamforming. This document discusses the necessity of MIMO in IMMW and explores various MIMO options for e
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Understanding Interconnection Networks in Multiprocessor Systems
Interconnection networks are essential in multiprocessor systems, linking processing elements, memory modules, and I/O units. They enable data exchange between processors and memory units, determining system performance. Fully connected interconnection networks offer high reliability but require ext
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IEEE 802.11-20/0021-00 Priority Access Support for NS/EP Services Overview
This document discusses the importance of priority access support in IEEE 802.11be for National Security and Emergency Preparedness (NS/EP) services. It outlines the need for standardized mechanisms to ensure priority services in WLAN networks during NS/EP events when cellular coverage is unavailabl
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IEEE 802.11-19-0202/r1 TGbd Agreed Terminology and Requirements
This document outlines the agreed terminology and requirements for the development of the next generation of IEEE 802.11p technology within IEEE 802.11bd Task Group. It covers aspects such as interoperability, co-existence, backward compatibility, and fairness between IEEE 802.11p and IEEE 802.11bd
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IEEE 802.11be MLD Architecture Discussion
The document discusses the architecture of MLD (Multicast and Local Delivery) within the IEEE 802.11be framework. It highlights how MLD will align with existing 802.11 basic architecture, emphasizing the management of access to PHY and media for both AP and non-AP devices. The goal is to integrate M
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Time-Aware Scheduling Capabilities in IEEE 802.11be
Describing necessary enhancements to enable Time-Aware Scheduling in IEEE 802.11be for time-sensitive applications. The focus is on aligning with the 802.1Qbv standard to address latency, jitter, and reliability issues, presenting a structured outline of requirements and configurations essential for
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Analyzing and Improving Latency in IEEE 802.11 Networks
The document discusses controlling latency in IEEE 802.11 networks to meet the demands of emerging applications that require not only high throughput but also low latency. It covers aspects such as latency analysis, potential improvements, latency vs. reliability trade-offs, and latency improvement
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Wireless TSN in 802.11: New Requirements and Integration with 802.1
This document discusses the extension of TSN capabilities from wired to wireless networks, focusing on potential enhancements for 802.11be and integration with Ethernet-based TSN standards. It covers topics such as time-sensitive applications, TSN toolbox overview, status of TSN capabilities support
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Introduction to Neural Networks in IBM SPSS Modeler 14.2
This presentation provides an introduction to neural networks in IBM SPSS Modeler 14.2. It covers the concepts of directed data mining using neural networks, the structure of neural networks, terms associated with neural networks, and the process of inputs and outputs in neural network models. The d
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LDPC Investigation for IEEE 802.11bd Technology in March 2019
In March 2019, the document IEEE 802.11-19/0346r3 delves into the investigation of LDPC (Low-Density Parity-Check) codes for the advancement of 11bd technology. The authors from Marvell explore the potential benefits of LDPC over BCC (Block Code Concatenation) in achieving better sensitivity for 802
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Evolution of Standards: IEEE 802.11 and 802.1D Relationship
Explore the relationship between IEEE 802.11 and 802.1D standards, discussing the necessity of referencing old standards, the state of 802.1D, and the potential for removing outdated references in 802.11. The submission proposes a migration model while emphasizing the importance of staying current w
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IEEE Std. 802.11-22/1017r0 Overview and Architecture Presentation
This presentation by Dorothy Stanley from HP Enterprise delves into the utilization of IEEE Std. 802.11-2020 standards focusing on the IEEE Std. 802 overview and architecture. It covers topics such as the use of LLC, MAC address formats, QoS mechanisms, MSDU formats, and various MAC services and pro
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Enhanced AP Coordination in IEEE 802.11 Networks
The document discusses the implementation of Restricted Transmit Wait Time (R-TWT) scheduling in IEEE 802.11 networks. It covers topics such as AP coordination, announcement of R-TWT schedules by APs, usage of 1-hop and 2-hop neighbor information for scheduling, and STA's notification of neighbor AP
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P-Rank: A Comprehensive Structural Similarity Measure over Information Networks
Analyzing the concept of structural similarity within Information Networks (INs), the study introduces P-Rank as a more advanced alternative to SimRank. By addressing the limitations of SimRank and offering a more efficient computational approach, P-Rank aims to provide a comprehensive measure of si
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Enhancing Support for Wider Bandwidth OFDMA in IEEE 802.11 Networks
The document discusses the implementation of Selective Spatial Transmission (SST) and Dynamic Subband Operation (DSO) to enable wider bandwidth OFDMA in IEEE 802.11be and 802.11bn standards. It covers enhancements for 80MHz, 160MHz, and 320MHz EHT DL and UL OFDMA transmissions, emphasizing the benef
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Privacy Issues in IEEE 802.11 Networks: Tracking and MAC Randomization
This presentation delves into the privacy concerns surrounding 802.11 networks, focusing on tracking vulnerabilities and the limitations of MAC randomization in preventing tracking. It discusses the ease of tracking devices, the risk of passive tracking due to MAC addresses being visible in frames,
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Advanced Coding Techniques for Wireless Personal Area Networks - IEEE 802.15.4ab
This document discusses advanced coding techniques proposed for IEEE 802.15.4ab to enhance data communication in wireless personal area networks. The focus is on interference mitigation, coexistence improvement, link budget enhancement, additional channels, and operating frequencies for improved rel
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IEEE 802.15 Standards Progress Report July 2024
The document provides updates on various IEEE 802.15 standards development activities in March 2024. Progress reports on IEEE 802.15.4 Rev.E, TG.4ad Amendment, and 802.15.4ab Next Generation UWB are outlined. Resolutions, approval statuses, and future development plans are detailed for each standard
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IEEE 802.11-19/1099r2 Preamble Structure Overview
The document discusses the specific preamble structures of IEEE standards such as 802.11n, 802.11ac, and the newer 802.11ax (11ax). It explores the functionalities provided by these preambles including synchronization, auto-detection, channel estimation, and more. The focus is on how different stand
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Understanding Overlay Networks and Distributed Hash Tables
Overlay networks are logical networks built on top of lower-layer networks, allowing for efficient data lookup and reliable communication. They come in unstructured and structured forms, with examples like Gnutella and BitTorrent. Distributed Hash Tables (DHTs) are used in real-world applications li
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Understanding Networks: An Introduction to the World of Connections
Networks define the structure of interactions between agents, portraying relationships as ties or links. Various examples such as the 9/11 terrorists network, international trade network, biological networks, and historical marriage alliances in Florence illustrate the power dynamics within differen
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IEEE 802.1CQ: Address Assignment and Validation Protocols
This document explores the assignment and validation of unicast addresses within IEEE 802 networks, emphasizing the need for uniqueness to prevent operational errors and security breaches. It discusses the challenges of ensuring globally-unique addresses, proposing the implementation of a single val
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Understanding Network Analysis: Whole Networks vs. Ego Networks
Explore the differences between Whole Networks and Ego Networks in social network analysis. Whole Networks provide comprehensive information about all nodes and links, enabling the computation of network-level statistics. On the other hand, Ego Networks focus on a sample of nodes, limiting the abili
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IEEE 802 Wireless Meeting Venue Reports and Future Plenary Contracts Update
Jon Rosdahl from Qualcomm provided updates on the current status of 802 Wireless Interim Session venue plans, a recap of 802 Executive Committee decisions, and future 802 Plenary venue contract statuses up to 2027. The presentation highlighted selected venues, open dates, and upcoming contracts for
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Evolution of Networking: Embracing Software-Defined Networks
Embrace the future of networking by transitioning to Software-Defined Networks (SDN), overcoming drawbacks of current paradigms. Explore SDN's motivation, OpenFlow API, challenges, and use-cases. Compare the complexities of today's distributed, error-prone networks with the simplicity and efficiency
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Suitability of IEEE 802.11ah for LPWAN Applications Analysis
This document analyzes the suitability of IEEE 802.11ah for Low Power Wide Area Network (LPWAN) applications. It examines the features of IEEE 802.11ah, such as OFDM-based FEC and its performance in fulfilling LP-WAN use-cases. The document also discusses channel models, interference resistance, and
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Revisiting DMG Multi-Band Discovery Assistance for 802.11ay Networks
Presentation by Kazuyuki Sakoda from Sony proposing the extension of DMG multi-band discovery assistance in 802.11ay networks to improve neighbor device discovery beyond AP coverage. The focus is on enhancing network efficiency, low-latency communication, and robustness for VR applications in high-f
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Future Vision for IEEE 802.11 in 5G Networks
This submission discusses the potential role of IEEE 802.11 as a component in future 5G networks, addressing challenges and opportunities. It presents insights on managing 802.11 within non-proprietary interfaces, emphasizing compatibility and defined functions for seamless integration in advanced n
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IEEE 802.11-17/0130r1 Link Maintenance for Distribution Networks Overview
Presented in January 2018, the document IEEE 802.11-17/0130r1 discusses functions for maintaining operational links in mmWave Distribution Networks, including link adaptation, bandwidth request, reservation, and time synchronization. It provides a comprehensive insight into the tools and protocols r
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Understanding Interconnection Networks in Embedded Computer Architecture
Explore the intricacies of interconnection networks in embedded computer architecture, covering topics such as connecting multiple processors, topologies, routing, deadlock, switching, and performance considerations. Learn about parallel computer systems, cache interconnections, network-on-chip, sha
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Understanding Deep Generative Bayesian Networks in Machine Learning
Exploring the differences between Neural Networks and Bayesian Neural Networks, the advantages of the latter including robustness and adaptation capabilities, the Bayesian theory behind these networks, and insights into the comparison with regular neural network theory. Dive into the complexities, u
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