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Colonel Ian R. Cartwright,박홍식 해군대학 1981 海洋戰略 Vol.- No.5
부대장의 실제적인 한 관심사항은 전투의 혼란속에서 부대통제의 어려움을 극복하는 문제이다. 이 글은 그러한 문제를 검토하고 전투의 순간이 다가왔을때 부대작전을 용이하게 하기위하여 사전에 부대장이 취할 수있는 가능한 조치를 제시하고 있다.
THE METAVERSE AND ITS IMPACT ON DIGITAL SUSTAINABILITY
Marta Blazquez Cano, Dr. Jo Cartwright 글로벌지식마케팅경영학회 2023 Global Marketing Conference Vol.2023 No.07
In recent years, Metaverse has become one of the most popular buzzwords in digital transformation and marketing. The concept of the metaverse refers to a new paradigm for how we will use and interact with digital technologies within an immersive virtual environment (Dwivedi, et al., 2022).
A high-precision spread spectrum clock generator based on a fractional-N phase locked loop
Yen Nguyen, D. B.,Cartwright, J. A.,Ko, Young-Hun,Lee, Sang-Gug,Ha, D. S. Springer-Verlag 2013 Analog integrated circuits and signal processing Vol.74 No.3
<P>A low jitter Spread Spectrum Clock Generator (SSCG) based on a fractional-N Phase Locked Loop (PLL) capable of generating various Electromagnetic Interference (EMI) reduction levels is proposed. A digital compensation filter is fully integrated in the design to prevent various triangular modulation profiles from being distorted by the prohibitively small PLL loop bandwidth. A simple but comprehensive logic design included in the digital filter provides independently controllable modulation frequency, f <SUB>m</SUB>, and modulation ratio, δ<SUB>m</SUB> within all modulation modes (up, down, center). The proposed SSCG is designed in a 0.18 μm CMOS standard cell library and operates at 72 MHz with f<SUB>m</SUB> ranging from 58 to 112.5 kHz and δ<SUB>m</SUB> ranging from 0.75 to 2 %.</P>
Machine learning for molecular and materials science
Butler, Keith T.,Davies, Daniel W.,Cartwright, Hugh,Isayev, Olexandr,Walsh, Aron Nature Publishing Group UK 2018 Nature Vol.559 No.7715
<P>Here we summarize recent progress in machine learning for the chemical sciences. We outline machine-learning techniques that are suitable for addressing research questions in this domain, as well as future directions for the field. We envisage a future in which the design, synthesis, characterization and application of molecules and materials is accelerated by artificial intelligence.</P>