Concepedia

Concept

performance improvement

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113.2K

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9.7K

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Integrated Performance Enhancement

2002 - 2008

This period is defined by a systems-level drive to improve performance across engineering, organizational, computational, and human domains. Research emphasizes empirical and theory-informed performance practices, standards-based competency development, and evidence-based management, alongside information technology-enabled optimization through information systems success and enterprise resource planning initiatives. Additionally, computational and hardware innovations, including adaptive signal processing and specialized architectures, underpin rapid performance gains in perception, processing, and energy-device applications.

Energy-device performance is elevated through materials engineering at interfaces: surface-modified LiCoO2 cathodes, insulating/buffer layer engineering, and TiO2 electrode modifications enabling improved charge transfer, stability, and efficiency in energy storage and solar cell devices [6], [18], [5], [13].

Empirical and theory-informed development of performance improvement practices in human performance technology and HRD, including empirical PI analyses, standards-based practice, competency mapping, and organization development theory selection to guide evidence-based improvements [1], [3], [19], [15].

IT-enabled performance improvement emphasizes IS success and ERP implementation variables, with several studies focusing on the drivers, measures, and outcomes of performance gains from information systems investments [4], [1], [3].

Computational performance gains come from algorithmic and hardware innovations: adaptive signal processing, efficient STAP training, Viterbi-decoding architectures, machine-learning function discovery, and FPGA-accelerated co-processing for complex tasks [9], [10], [11], [8], [2], [17].

Specialized hardware approaches for perception and processing deliver performance improvements through brain-inspired visual processing and density-focused hardware, illustrating how dedicated architectures can accelerate computation and data handling [17], [2], [16].

Energy-Efficient Perception Hardware

2009 - 2015

Edge-Optimized AI Hardware

2016 - 2023