Channel design involves creating a plan for the efficient distribution and movement of products and services from the producer to the customer. This process includes determining the channel flow, identifying channel members, setting channel objectives, and developing a channel strategy.

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Explore Microsoft's innovative approach to query optimization in production environments, addressing challenges with general-purpose optimization and introducing specialized cloud-based optimizers. Learn about the implementation details, experiments conducted, and the solution proposed. Discover how

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Marketing channel decisions play a crucial role in the success or failure of products in both B2C and B2B markets. This chapter explores the importance of effective channel management, types of channels, the role of intermediaries in streamlining transactions, and the distinction between marketing c

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Channel design involves planning the distribution of products and services from producers to customers through different business entities or individuals. It encompasses elements like channel flow, channel members, objectives, alternatives, and strategy. Successful channel design aligns with busines

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Optimization in process engineering involves obtaining the best possible solution for a given process by minimizing or maximizing a specific performance criterion while considering various constraints. This process is crucial for achieving improved yields, reducing pollutants, energy consumption, an

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The paper discusses using machine learning to classify IEEE channel models and improve WLAN performance. It demonstrates how neural networks can accurately classify channel types, leading to efficient beamforming and signal processing. Simulation results show the classification performance even at l

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Swarm Intelligence (SI) is an artificial intelligence technique inspired by collective behavior in nature, where decentralized agents interact to achieve goals. Swarms are loosely structured groups of interacting agents that exhibit collective behavior. Examples include ant colonies, flocking birds,

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The DNN Inference Optimization Challenge, organized by Liya Yuan from ZTE, focuses on optimizing deep neural network (DNN) models for efficient inference on-device, at the edge, and in the cloud. The challenge addresses the need for high accuracy while minimizing data center consumption and inferenc

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Channel modification projects aim to accelerate the recovery of stable, sustainable channel forms in dynamic balance with sediment, large wood, and flow regimes. Successful modifications lead to improved habitat quality, stability, and diversity, benefiting sediment transport and riparian zones. Phy

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Discrete Optimization is a field of applied mathematics that uses techniques from combinatorics, graph theory, linear programming, and algorithms to solve optimization problems over discrete structures. This involves creating mathematical models, defining objective functions, decision variables, and

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This study delves into the generalization of Empirical Risk Minimization (ERM) in stochastic convex optimization, focusing on minimizing true objective functions while considering generalization errors. It explores the application of ERM in machine learning and statistics, particularly in supervised

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The success of marketing channels lies in making right channel design decisions and effectively implementing them through channel management decisions. From selecting channel members to training and motivating them, companies must focus on building strong partnerships to drive success in the competi

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Channel conflict in marketing refers to disputes between different channel partners, such as manufacturers, wholesalers, and retailers, that impact business operations and goals. These conflicts can arise at different levels within the distribution channel, leading to issues like price wars, custome

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The document discusses the adaptation of the 802.11be channel model to modern scenarios where devices are mobile. It explores the impact of movement on channel models, providing lab measurement results of Doppler Power Spectral Density. The study aims to enhance the evaluation of communication schem

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This contribution presents preliminary THz channel modeling results for future wireless data center scenarios. Ray tracing simulations are conducted for various channel types, utilizing RMS delay spread and RMS angular spread to measure multipath richness. A stochastic channel model is developed and

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This document covers the discussion on PDSCH demodulation parameters and requirements for UE demodulation and CSI reporting in FR2 DL 256QAM, specifically focusing on static channel mode, TDL-D channel mode, and TDL-A channel mode. The document also explores rank options, channel bandwidth, PRB allo

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Recent research highlights advancements in solving sampling problems in convex optimization, exemplified by works by Yin Tat Lee and Santosh Vempala. The complexity of convex problems, such as the Minimum Cost Flow Problem and Submodular Minimization, are being unraveled through innovative formulas

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This document discusses key concepts related to NPCA (Neighbor-Primary Channel Announcement) and Virtual Access Points (APs) in the context of IEEE 802.11 standards. It covers topics such as multiple BSSID sets, co-hosted APs, NPCA primary channel configurations, and criteria for channel switching.

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This document outlines a proposal for channel operation and BSS operation in the 45 GHz frequency bands for 802.11aj in China. It includes details on channelization, spectrum allocation, maximum transmit power, and BSS configuration rules. The aim is to meet the functional requirements specified whi

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This piece discusses approximation algorithms for stochastic optimization problems, focusing on modeling uncertainty in inputs, adapting to stochastic predictions, and exploring different optimization themes. It covers topics such as weakening the adversary in online stochastic optimization, two-sta

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This document submitted to the IEEE P802.15 Working Group discusses the importance of advanced channel coding for IEEE 802.15.4ab standard to achieve higher throughput and reliability. It outlines technical guidance on proposed solutions, safeguards, interference mitigation techniques, and backward

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The proposal addresses the inefficiencies in utilizing secondary channels in IEEE 802.11 networks, aiming to enhance access to wideband channels (>20 MHz) when the primary channel is busy. It introduces a mechanism for APs and STAs to access available secondary channels while the primary channel is

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This presentation discusses the concept of using secondary channels for PPDU transmission in IEEE 802.11 networks to improve efficiency in large bandwidth scenarios. It covers topics such as channel access, backoff mechanisms, and channel switching thresholds. Design principles emphasize minimal imp

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In the May 2024 document IEEE 802.11-24/72r0, a uniform MAP coordination framework is discussed, involving procedures like M-AP discovery, coordinated transmissions, and channel access mechanisms. All APs in a coordination group can compete for channel access and share transmission opportunities. Th

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Investigating the impact of different channel configurations in detecting artifacts in scalp EEG records for seizure detection. A deep learning algorithm, CNN/LSTM, was employed on various channel setups to minimize loss of spatial information. Results show sensitivities between 33%-37% with false a

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Discussion on implementing EDCA for Non-Primary Channel Access (NPCA) in IEEE 802.11, focusing on mitigating frame collisions and enhancing medium efficiency. Various considerations for EDCA procedure on the Non-Primary Channel (NPCH) are explored to optimize channel access and reduce wastage. Topic

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Explore the discussions on secondary channel usage in IEEE 802.11-23/1935r0, including topics like RU index, BW negotiation, avoiding medium synchronization loss, and single/multiple secondary backoff 20MHz channels. Discover insights on non-primary backoff 20MHz channel locations, transitioning del

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Real-world design problems often require multi-objective optimization, and the Flower Pollination Algorithm (FPA) developed by Xin-She Yang in 2012 mimics the pollination process of flowering plants to efficiently solve such optimization tasks. FPA has shown promising results in extending to multi-o

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This document discusses a method for reducing feedback overhead in smooth beamforming to optimize phase rotations for V matrix in IEEE 802.11-23 standard. It explores V matrix optimization, column-wise phase shift, and beamformer side optimization to achieve channel smoothing gain at the receiver si

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STAs in IEEE 802.11-24 can dynamically switch to secondary channels per the AP's request for frame exchanges. The process involves soliciting control frames, determining parking channels, managing frame exchanges, and switching back to the primary channel at the end of a TXOP. Various examples illus

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This presentation by Haiming Wang and team from SEU/CWPAN discusses the process of channel realization and generation in the 45 GHz bandwidth. It covers the generation of the channel impulse response, modeling of parameters, statistical measurements, and future work related to the 802.11ad standard.

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Channel estimation in IEEE 802.11 standards, such as 11n, 11ac, and 11ax, is crucial for efficient MIMO systems. The noise impact during data reception affects the quality of the channel estimate, leading to SNR reduction post-equalizer. Techniques like channel smoothing and averaging of training se

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This presentation discusses the application of machine learning for optimizing EBIS beam intensity and RHIC luminosity. It covers topics such as motivation, EBIS beam intensity optimization, luminosity optimization, and outlines the plan and summary of the project. Collaborators from MSU, LBNL, and

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This document from September 2015 discusses issues related to updating channel information in wireless communication systems, focusing on MU-MIMO and TxBF precoding techniques. It explains the challenges of channel aging, the importance of refreshing channel information, and the impact of different

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IEEE 802.11 is exploring nonprimary channel access to address underutilization of spectrum and improve latency and throughput. This approach involves enabling nonprimary channel access with simple modifications to existing rules, such as limiting TXOP duration and using control frames for coordinati

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The document discusses the introduction of 35/45MHz channel bandwidth in UE RF requirements for various bands. It covers equation-based requirements and limitations in UL configurations based on bandwidth allocation. The scope includes capturing content from the first round discussions and clarifyin

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Gain insights into open channel hydraulics covering topics like types of channels, various flows, velocity distribution, discharge mechanisms, and economical channel sections. Delve deeper into specific energy, hydraulic jump, gradually varied flow, and the distinction between steady/unsteady and un

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The document discusses the UL sync channel access procedure in IEEE 802.11, focusing on the conditions under which an STA affiliated with an MLD can initiate transmission, manage its backoff counter, and follow specific rules for accessing the channel. It proposes a straw poll to gather support for

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Fast Bayesian Optimization optimizes hyperparameters for machine learning on large datasets efficiently. It involves black-box optimization using Gaussian Processes and acquisition functions. Regular Bayesian Optimization faces challenges with large datasets, but FABOLAS introduces an innovative app

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This presentation by Ardimas Purwita from the University of Edinburgh delves into the challenges faced in implementing MU-MIMO for light communications (LC) and offers potential solutions. It discusses issues such as highly-correlated channel gain matrices, varying delay of channel impulse responses

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