The proceedings contain 98 papers. The topics discussed include: capacity planning and performance: tips and techniques;capacity planning: why are we still counting angels on a pinhead?;classical comparative analysis ...
The proceedings contain 98 papers. The topics discussed include: capacity planning and performance: tips and techniques;capacity planning: why are we still counting angels on a pinhead?;classical comparative analysis procedures and deterministic chaos;performance monitor - the view from the drivers seat;performance testing & analysis of distributed client/server database systems;planning domino email servers using notes transactions;data warehouse performance a methodology for analysis illustrated using TPC-D SF1000 results;performance measurement of the PeopleSoft multi-tier remote computing application;end-to-end response time and beyond: direct measurement of service levels;performance engineering models of CORBA-based distributed-object systems;performance evaluation of a distributed software architecture;and the incredible shrinking performance staff vs. the colossal expanding server farm.
Artificial intelligence (AI) has significantly impacted the field of healthcare by advancing medical diagnostics and decision-making processes. This paper presents a unified framework that integrates Convolutional Mul...
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Crowdsourcing is a way to solve complex tasks by publicly collecting solutions on the network. The crowdsourcing system that provides task completion and solution reuse facilitates human life and promotes economic dev...
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The Adaptive Neural Evolutionary Framework for Building Dynamic systems with Hybrid Intelligent Architectures is designed to address challenges in real-time adaptability, optimization, and performance of complex syste...
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The proceedings contain 44 papers and 37 PowerPoint presentations. The topics discussed include: monitoring performance QoS using outliers;IT contingency planning for a financial crisis;when performance/capacity plann...
The proceedings contain 44 papers and 37 PowerPoint presentations. The topics discussed include: monitoring performance QoS using outliers;IT contingency planning for a financial crisis;when performance/capacity planning becomes a performance/capacity planning problem or, the emperor has no clothes;demystifying extended distance FICON AKA persistent IU pacing;memory virtualization and performance on TLB misses;migrating applications to the cloud;instrumentation strategies for the cloud;performance engineering for massive systems;case study: federal agency capacity planning success factors;custom code profiling;non-linear scaling of long running batch jobs: 'the twelve days of degradation';a structured approach to performance testing for efficient eliminations of common bottlenecks;and performance testing challenges & solutions for asynchronous systems.
The proceedings contain 20 papers. The topics discussed include: computer performance evaluation for policy support;data collection and analysis of the distribution of computing resources at the University of Nebraska...
The proceedings contain 20 papers. The topics discussed include: computer performance evaluation for policy support;data collection and analysis of the distribution of computing resources at the University of Nebraska – Lincoln;improving computer performance in a large scale environment - an overview of data processing at American Airlines;performance evaluation of a minicomputer cluster with shared memory;performance monitoring in a shared DASD environment;data processing authority workload history, characterization, and forecast description;further investigation into a software science relationship;performance evaluation of the computer and the role of the costing system;management guidelines for planning, controlling, and evaluating an ADP system;and a methodology for the performance evaluation of information systems under multiple criteria.
Ultrasonic flow sensing offers significant advantages for non-invasive, adaptive monitoring in various scenarios. Traditional ultrasonic flowmeters are composed of paired transducers, which are used as TX/RX alternate...
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A social media platform is a form of service offered by an online platform that facilitates easy communication between individuals, as well as the establishment of interpersonal connections and social exchanges. Addit...
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This paper provides an overview of microgrid control strategies, examining differences between centralized and decentralized approaches, and focusing on classical hierarchical control schemes as well as the structure ...
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Various methods for acoustic impulse event detection and identification are available. They are usually based on time or frequency domain algorithms. Both these domains have their limitations and disadvantages. This a...
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ISBN:
(纸本)9783031713965;9783031713972
Various methods for acoustic impulse event detection and identification are available. They are usually based on time or frequency domain algorithms. Both these domains have their limitations and disadvantages. This article presents acoustic impulse events (such as gunshots) identification based on the Cepstral domain, combining the advantages of both frequency and time domains. It compares the efficiency of classification based on four different frequency Cepstral coefficients, namely Mel-frequency Cepstral Coefficients (MFCC), Inverse Mel-frequency Cepstral Coefficients (IMFCC), Linear-frequency Cepstral Coefficients (LFCC) and Gammatone-frequency Cepstral Coefficients (GFCC). These, originally speech features, showed to be promising in the other applications with good results. This work compares the classification accuracy of gunshots from several short and rifle guns and multiple impulse acoustic events (various types of slams, slaps, etc.) to represent false alarms. In total, more than four hundred acoustic event records have been acquired, where approx. 70% has been used for training, and the rest for validation. For a classification, a Support Vector Machine (SVM) classifier with 26 frequency Cepstral Coefficients from each MFCC, IMFCC, LFCC, and GFCC served as features are used. Accuracy and Matthew's correlation coefficient measure the classification success rate. The results confirm the superiority of GFCC to other analyzed methods.
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