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

2 views • 27 slides

This contribution explores Coordinated Spatial Reuse (Co-SR) as a potential multi-AP feature for the IEEE 802.11bn standard. It discusses the trade-offs, proposes a method for downlink channel access, and evaluates its impact on goodput and packet delivery delay. The background highlights the gains

1 views • 17 slides

Speech delay can hinder a child's ability to develop language skills, impacting areas such as listening, attention, and socialization. In Indonesia, 20% of children face speech delay, posing challenges in listening and language production. This study delves into the difficulties encountered by child

7 views • 10 slides

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

10 views • 52 slides

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,

2 views • 88 slides

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

0 views • 13 slides

Independent expert witness services play a crucial role in construction disputes by providing high-quality expert witness and tribunal services. Blackrock Expert Services, with a team of experienced professionals, offers a wide range of construction consulting services. The presentation covers the i

0 views • 36 slides

Explore the fundamental concepts of counters and time delays in electronic systems as explained by Pavithra D.R. from BMSCW. Learn about the design and operation of counters, time delay procedures, label states, time delay using register pairs, flowcharts for time delays, and illustrative programmin

5 views • 10 slides

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

0 views • 12 slides

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

0 views • 11 slides

Explore the world of optimization through convex and general problems, understanding the concepts, constraints, and the difference between convex and non-convex optimization. Discover the significance of local and global optima in solving complex optimization challenges.

0 views • 24 slides

Explore the basic components of optimization problems, such as objective functions, constraints, and global vs. local optima. Learn about single vs. multiple objective functions and constrained vs. unconstrained optimization problems. Dive into the statement of optimization problems and the concept

0 views • 96 slides

The content discusses the impact of asymmetrical delay in networking scenarios, focusing on how it can affect different applications such as audio, video, and industrial machinery. Through examples and diagrams, the potential issues of accumulated delays and closed gates in protocols like 802.1Qbv a

0 views • 16 slides

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

1 views • 47 slides

In this case study, a 2-year-old male presenting with developmental delay and seizures was evaluated for a CNV at the 12p13.1p12.3 region. The CNV was found to overlap with the GRIN2B gene, a known haploinsufficient gene associated with developmental disorders. Despite potential additional scoring c

0 views • 17 slides

Real-time games are highly sensitive to even milliseconds of delay, impacting player performance and quality of experience. This research explores the use of delay compensation techniques to mitigate these effects, focusing on moving target selection with a mouse. The study aims to measure and model

0 views • 34 slides

Stakeholder insights on RP3 performance plan and target proposals highlight challenges faced in meeting RP2 targets, such as lack of consideration for interdependencies and local circumstances. Observations on traffic evolution, forecast, and volatility in FABEC region are discussed, emphasizing the

0 views • 12 slides

Targeted at improving multi-link and low-latency capabilities in IEEE 802.11be, this document proposes a mode of operation utilizing multiple links to decrease latency effectively. By addressing channel access delay reduction and discussing the benefits of multi-link definitions, the document emphas

0 views • 17 slides

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

0 views • 33 slides

The procedures and configurations for testing cell switch delay in LTM involve introducing test cases T1 to T5, each with specific actions related to UE timing information, LTM configuration, TCI activation, RACH triggering, and cell switch verification. Different UE capabilities dictate the testing

0 views • 7 slides

Sources 1 to 4 provide insights into the reasons behind the delay in reaching an armistice during the Korean War. Source 1 discusses the POW question's impact, Source 2 presents Eisenhower's stance on peace efforts, Source 3 outlines Syngmam Rhee's opposition to a divided Korea, and Source 4 reflect

0 views • 9 slides

The exploration of cosmography involves mapping the general features of the universe to understand its large-scale geometry and kinematics. This study delves into measuring time delay distances, optimizing spectroscopic follow-up, and addressing systematics such as redshift distribution and model sy

0 views • 23 slides

This presentation discusses the challenges faced by TCP in high bandwidth-delay product networks, highlighting issues such as oscillations and instability. It explores solutions like adjusting aggressiveness based on feedback delay, decoupling efficiency and fairness control, and introduces XCP as a

0 views • 23 slides

This guide provides detailed instructions on how to file a trip delay claim with iNext Insurance, including completing the claim form, submitting necessary documentation, and understanding the reimbursement process. It covers the information needed for both pages of the claim form, types of delays c

0 views • 4 slides

The modernization of the NSRS faces delays beyond 2022, impacting users who rely on GPS/geoid/leveling data. Recommendations are being developed to guide users, with some decisions requiring real-time adjustments. Key issues include the lack of GPS access and internet connection for OPUS services, w

0 views • 19 slides

This research paper explores the use of machine learning to study interconnect coupling delay and transition effects in VLSI design. It discusses the challenges of calibrating non-SI to SI timing reports, the impact of clock period adjustments on path slack, and the complexities involved in the cali

0 views • 32 slides

Delve into the intricacies of timing models for cells in design environments, exploring factors affecting delay, output transitions, linear and non-linear models, and the use of table models in cell libraries to specify delays and timing checks. Discover how input transitions and output capacitance

0 views • 11 slides

Pervasive multimedia communications face challenges like channel fading and interference, making end-to-end delay control crucial in multi-hop wireless networks. This study discusses QoS requirements, upper-layer adaptation, and frameworks for ensuring optimal multimedia packet delivery. Techniques

0 views • 18 slides

This study explores delay jitter management policies to support interactive audio over LANs, focusing on display queue management to minimize gaps in playout. The paper evaluates different queue management policies, including I-policy and E-policy, along with queue monitoring in the context of an em

0 views • 37 slides

Explore the process of technology mapping on a Directed Acyclic Graph (DAG) using a linear delay model. Learn about transforming circuits into subject graphs, utilizing sample cell libraries, and implementing circuits to meet user requirements. The challenges of technology mapping, circuit recovery,

0 views • 23 slides

This paper proposes innovative methods for multi-server placement and topology control in multi-party video conferences. It introduces a three-step procedure to minimize end-to-end delays between client pairs using D-Grouping and convex optimization. The study demonstrates how combining D-Grouping,

0 views • 13 slides

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

0 views • 15 slides

This study delves into the intricate realm of gate sizing in VLSI design, focusing on optimizing power and delay through effective approaches and addressing challenges such as interconnect delay, inaccurate internal timers, and critical paths. Previous gate sizing techniques are evaluated, and a met

0 views • 34 slides

This research presents a hybrid optimization heuristic approach for efficient instruction scheduling in programmable accelerator codesign. It discusses Google's TPU architecture, problem-solving strategies, and computation graph mapping, routing, and timing optimizations. The technique overview high

0 views • 33 slides

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

0 views • 23 slides

Bayesian optimization is being used at LCLS to tune the Free Electron Laser (FEL) pulse energy efficiently. The current approach involves a tradeoff between human optimization and numerical optimization methods, with Gaussian processes providing a probabilistic model for tuning strategies. Prior mea

0 views • 16 slides

The evolution of metalearning in the machine learning community is traced from the initial workshop in 1998 to recent developments in hyper-parameter optimization. Challenges in classifier selection and the validity of hyper-parameter optimization claims are discussed, urging the exploration of spec

1 views • 32 slides

Discussing the connection between Artificial Intelligence (AI)/Machine Learning (ML) and Wireless LAN networks, this document explores how AI/ML can improve IEEE 802.11 features, enhance Wi-Fi performance through optimized data sharing, and enable network slicing for diverse application requirements

0 views • 11 slides

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

0 views • 12 slides

This presentation delves into the concept of price optimization in the auto insurance industry, covering actuarial, economic, and regulatory aspects. It addresses the controversy surrounding price optimization, various state definitions, concerns, and the use of sophisticated tools to quantify busin

5 views • 29 slides