Automated Mobile App QoE Diagnosis with Cross-layer Analysis
This work presents the QoE Doctor, a solution for accurate and repeatable QoE measurements and analysis in mobile apps. By introducing UI automation, it enables the replay of user behavior to measure UI layer QoE metrics without modifying app source code. The QoE Doctor also supports multi-layer dia
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APL - The Advanced Physical Layer in Industrial Networks
APL, the Advanced Physical Layer, is transforming the process industry by offering an Ethernet-based alternative to traditional fieldbus methods like PROFIBUS PA. Through APL, enhanced connectivity, efficiency, and flexibility are achieved. The technology involves topologies, cabling specifications,
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Layer 2 Token Marketing Services
Layer-2 token marketing promotes tokens built on scalable layer-2 solutions, highlighting benefits like faster transactions and lower fees. Get connected with our experts today and launch a lucrative \ntoken platform.
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Understanding Ozone Depletion: Causes and Impact
The ozone layer, found in the stratosphere at 15 to 40 km altitude, plays a crucial role in absorbing harmful ultraviolet radiation. However, due to the use of Chlorofluorocarbons (CFCs), the ozone layer has been depleted, leading to the formation of the ozone hole. This depletion is caused by chemi
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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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Understanding Back-Propagation Algorithm in Neural Networks
Artificial Neural Networks aim to mimic brain processing. Back-propagation is a key method to train these networks, optimizing weights to minimize loss. Multi-layer networks enable learning complex patterns by creating internal representations. Historical background traces the development from early
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Understanding Multi-Layer Perceptrons in Neural Networks
In this lecture by Dr. Erwin Sitompul at President University, the focus is on Multi-Layer Perceptrons (MLP) in neural networks, discussing their architecture, design considerations, advantages, learning algorithms, and training process. MLPs with hidden layers and sigmoid activation functions enabl
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NASA Platform Layer Updates for the CAELUM (7.0) Release
The National Aeronautics and Space Administration (NASA) discusses platform layer updates for the CAELUM (7.0) release of the Core Flight System in the 2021 Flight Software Workshop. The platform layer consists of the Operating System Abstraction Layer (OSAL) and Platform Support Package (PSP), whic
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Understanding Communication Layers in Computer Networks
Communication in computer networks is facilitated through different layers such as the data link, network, and transport layers. Each layer has specific responsibilities in ensuring data delivery from one point to another. The data link layer handles communication between adjacent nodes, the network
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Understanding Perceptron Learning Algorithm in Neural Networks
Perceptron is the first neural network learning model introduced in the 1960s by Frank Rosenblatt. It follows a simple and limited (single-layer model) approach but shares basic concepts with multi-layer models. Perceptron is still used in some current applications, especially in large business prob
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Understanding Boundary Layer and Drag Forces in Fluid Dynamics
Boundary layer module explains the presence of viscous forces near a surface due to fluid flow, leading to laminar or turbulent boundary layers. Flow separation occurs when a boundary layer detaches from a surface, impacting lift and drag forces. Adverse pressure gradients and flow separation phenom
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Understanding Paper and Thin Layer Chromatography (TLC) in Biochemistry
Chromatography techniques are used in laboratories to separate and identify components of mixtures. Paper chromatography is a type where a developing solution travels up a filter paper, separating compounds based on their affinity to the stationary phase. Thin Layer Chromatography (TLC) is a similar
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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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Layered QoS and Multi-Layer Transmission in IEEE 802.11-22 for Enhanced WLAN Performance
The document discusses the importance of layered Quality of Service (QoS) and multi-layer transmission in meeting the high throughput and real-time requirements of metaverse applications over WLAN. It emphasizes the need for enhanced throughput, reliability, reduced latency, and improved power effic
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Understanding the OSI Model and Layered Tasks in Networking
The content highlights the OSI model and layered tasks in networking, explaining the functions of each layer in the OSI model such as Physical Layer, Data Link Layer, Network Layer, Transport Layer, Session Layer, Presentation Layer, and Application Layer. It also discusses the interaction between l
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Enhancing Throughput in Multi-Hop Wireless Networks Using Reconfigurable Antennas
In this study presented at IEEE SECON 2018, the authors investigate the throughput limits of multi-hop wireless networks employing reconfigurable antennas (RAs). Challenges such as unreliable links, interference, and large overhead are addressed, with existing approaches at both the link/network lay
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Bedforms in Unidirectional Flow: Characteristics and Formation
Bedforms in unidirectional flow exhibit various characteristics such as sediment layer thicknesses, boundary layer dynamics, presence of ripples and dunes, and the interplay between flow velocity and sediment deposition. These bedforms, including ripples and dunes, form due to interactions between t
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Virtual Carrier Sense in Asynchronous Multi-Link Networks
Exploring the implementation of virtual carrier sense in asynchronous multi-link networks based on IEEE 802.11 standards. The presentation discusses the benefits of using NAV (Network Allocation Vector) in asynchronous multi-link setups to avoid hidden node issues, improve throughput, and latency. I
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Virtual Carrier Sense in Multi-Link Networks
This document discusses the implementation and advantages of virtual carrier sense in multi-link networks under the IEEE 802.11 standard. It explores the operation of multi-link setups, asynchronous communication benefits, and the necessity of multiple contention channels. The concept of NAV (Networ
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Understanding Internet Transport Layer Services and Protocols
In the realm of networking, exploring the principles of transport layer services is crucial. This involves concepts like multiplexing/demultiplexing, reliable data transfer, flow control, and congestion control, which are facilitated by protocols such as UDP and TCP. The transport layer acts as a br
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Understanding Data Link Layer Communication in Computer Networks
Exploring the data link layer in computer networks, this lecture discusses the node-to-node communication, services provided, such as framing, flow control, error control, and congestion control. Through a series of images, the concept of links and nodes, as well as the responsibilities of the data
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Understanding Data Link Layer in Computer Networking
The Data Link Layer (DLL) is the second layer of the OSI model, responsible for error detection and correction, framing, addressing, synchronization, flow control, and multi-access protocols. It deals with logical link control and media access control, addressing destination hardware, avoiding data
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Understanding Advanced Classifiers and Neural Networks
This content explores the concept of advanced classifiers like Neural Networks which compose complex relationships through combining perceptrons. It delves into the workings of the classic perceptron and how modern neural networks use more complex decision functions. The visuals provided offer a cle
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Enhancing Vacuum Performance with Activated Charcoal Fabric in Multi-Layer Insulation Systems
Multi-layer insulation (MLI) systems play a crucial role in cryogenic applications, affecting vacuum quality and efficiency. This study explores the use of activated charcoal fabric (ACF) as a potential replacement for traditional spacer materials in MLI, enhancing cryopumping performance. By incorp
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Performance Aspects of Multi-link Operations in IEEE 802.11-19/1291r0
This document explores the performance aspects, benefits, and assumptions of multi-link operations in IEEE 802.11-19/1291r0. It discusses the motivation for multi-link operation in new wireless devices, potential throughput gains, classification of multi-link capabilities, and operation modes. The s
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Understanding Artificial Neural Networks (ANN) and Perceptron in Machine Learning
Artificial Neural Networks (ANN) are a key component of machine learning, used for tasks like image recognition and natural language processing. The Perceptron model is a building block of ANNs, learning from data to make predictions. The LMS/Delta Rule is utilized to adjust model parameters during
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Understanding ZFS: Structure and Operations
Explore the comprehensive structure and operations of ZFS, covering aspects like MOS layer, object-set layer, Dnode, Block Pointer, and TRIM operations. Learn about the meta-object set (MOS), dataset and snapshot layer (DSL), and storage pool allocator (SPA) modules within ZFS. Understand how ZVOLs,
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Understanding the Planetary Boundary Layer in Atmospheric Science
The Planetary Boundary Layer (PBL) plays a crucial role in atmospheric dynamics, divided into surface, mixed, stable, and residual layers. During the day, the mixed layer experiences convective motions due to surface heating, while the stable layer dominates during the night. Understanding these lay
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Multi-Stage, Multi-Resolution Beamforming Training for IEEE 802.11ay
In September 2016, a proposal was introduced to enhance the beamforming training procedures in IEEE 802.11ay for increased efficiency and MIMO support. The proposal suggests a multi-stage, multi-resolution beamforming training framework to improve efficiency in scenarios with high-resolution beams a
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Understanding Transport Layer Security (TLS) and Secure Sockets Layer (SSL)
This content delves into the concepts of Transport Layer Security (TLS) and Secure Sockets Layer (SSL), exploring their origins, application in web security, and protocol stack integration. It covers the TLS/SSL handshake process, key derivation, data transfer mechanisms, and the significance of the
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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 Neural Networks for Machine Learning
Explore the learning process of linear neurons, why the perceptron learning procedure cannot be generalized to hidden layers, and the importance of iterative methods in solving complex problems in the context of neural networks. The content delves into the minimization of errors, the use of real-val
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Understanding Application-layer Protocols in Computer Communication and Networks
Explore Chapter 2 of the course on Computer Communication and Networks, focusing on the application-layer protocols in the client-server paradigm, specific protocols like HTTP and SMTP, client-server architecture, peer-to-peer architecture, and addressing needs in the network application layer.
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Understanding Application Layer Protocols in Communication Networks
Explore the fundamentals of application layer protocols in communication networks, including HTTP, DNS, FTP, and email. Learn about the client-server model, peer-to-peer communication, and the basic workings of TCP sockets. Discover the importance of message syntax, semantics, and processing rules i
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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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Enhancing Bitcoin Network Through Trust Extraction and Blockchain Scalability
Explore methods to extract trust from the blockchain and enhance scalability through Layer 1 and Layer 2 changes, including parameters adjustment, consensus algorithm modifications, sharding, payment networks, and side chains. Learn about payment channels, Bitcoin throughput, and strategies to incre
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Understanding ARP, ICMP, and DHCP in TCP/IP Protocol Stack
ARP (Address Resolution Protocol) plays a crucial role in bridging the Layer 2/Layer 3 addressing boundary in the TCP/IP protocol stack, allowing IP to be agnostic about layer 2 addressing while still using layer 2 for packet delivery. Machines ARP for MAC addresses within their local network, where
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Understanding the Link Layer in Computer Communication and Networks
The link layer, an essential component in computer networks, is implemented at every host through adapters like NICs or Ethernet/802.11 cards. It handles tasks such as frame encapsulation, error checking, and flow control to ensure reliable data transmission between nodes. Link layer services includ
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Understanding Link Layer in Computer Networking
The link layer, also known as the data link layer, plays a crucial role in transferring data between adjacent nodes over communication links. This layer is responsible for framing, access control, reliable delivery, error detection and correction, flow control, and more. It is implemented in network
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Overview of DICOM WG21 Multi-Energy Imaging Supplement
The DICOM WG21 Multi-Energy Imaging Supplement aims to address the challenges and opportunities in multi-energy imaging technologies, providing a comprehensive overview of imaging techniques, use cases, objectives, and potential clinical applications. The supplement discusses the definition of multi
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