Ancient astronomy: Mechanical inspiration

Marchant, Jo

doi:10.1038/468496a

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…Thinking in analogies, and learning elements of analog computing and cybernetics (Ashby 1957) can be of assistance in connecting models to real-world entities. One of the earliest, sophisticated examples of analog computing was the Antikythera mechanism (Marchant 2010), capturing the mathematics of the solar system as known circa 100BCE.…”

Section: Philosophy and Educationmentioning

confidence: 99%

Computing as model-based empirical science

Fishwick

2014

Proceedings of the 2nd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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Is computer science a science? This question has been asked since the inception of the field in the 1940s. Computer Science is certainly a science in the sense of a mature body of knowledge, including systematic method and practice. Many in the field have argued that the body of knowledge argument is sufficient. To provide a more substantive argument in favor of a science interpretation, other researchers have suggested that computer science is an artificial, experimental science not unlike economics. To build from, and complement prior views, we claim that computing is an empirical science, similar to that of physics or biology. Demonstrating this claim requires broadening the foundations of computing to include analog systems, and employing modeling and simulation as a fundamental approach toward observing computing in natural and artificial contexts. An example model of mixed discrete-event/continuous information is presented in support of this claim.

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Section: Philosophy and Educationmentioning

confidence: 99%

Computing as model-based empirical science

Fishwick

2014

Proceedings of the 2nd ACM SIGSIM Conference on Principles of Advanced Discrete Simulation

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“…A wonderful example of clock with gears is the al-Jazari (1136-1206) elephant clock, [6,7,8]. Although gears have been known for over 2000 years as can be seen in the Antikythera mechanism [9,10,11], whose complexity suggests that gears technology may be even older and could be known in Anatolia and beyond.…”

Section: Early Historymentioning

confidence: 99%

“…Similarly to the force, one assumes that mechanical torque can be written as a surface integral. (11) As a consequence the stress tensor has to be symmetric, σ ki = σ ik , [21].…”

Section: B Microscopic Theorymentioning

confidence: 99%

Evolution of Timekeeping from Water Clock to Quartz Clock - the Curious Case of the Bulova ACCUTRON 214 the First Transistorized Wristwatch

Santos

2022

JICS

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The technological discoveries and developments since dawn of civilization that resulted in the modern wristwatch are linked to the evolution of Science itself. A history of over 6000 years filled with amazing technical prowess since the emergence of the first cities in Mesopotamia established by the \v{S}umer civilization. Usage of gears for timekeeping has its origin in the Islamic Golden Age about 1000 years ago. Although gears have been known for over 2000 years such as found in the Antikythera Mechanism. Only in the seventeenth century springs started to be used in clock making. In the eighteenth century the amazing \textit{Tourbillon} was designed and built to increase clock accuracy. In the nineteenth century the tuning fork was used for the first time as timebase. Wristwatches started to become popular in the beginning of the twentieth century. Later in the second half of the twentieth century the first electronic wristwatch was designed and produced, which brings us to the curious case of the Bulova \textit{ACCUTRON} caliber 214 the first transistorized wristwatch, another marvel of technological innovation and craftsmanship whose operation is frequently misunderstood. In this paper the historical evolution of timekeeping is presented. The goal is to show the early connection between Science and Engineering in the development of timekeeping devices. This linked development only became common along the twentieth century and beyond.

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“…

The interest and success in creating robotic machines with diverse functions can be dated back to the Iron Age. [1] Notable examples include the astronomical calculator that displays celestial information made at least 2000 years ago in ancient Greece [2] and the 470-year-old machinery monk that still walks and prays as exhibited in the Smithsonian in Washington, D.C. Nevertheless, only the past half-century has witnessed advanced technologies for underpinning the first commercial robot, Unimate, that replaced the human workforce in transporting and welding giant metal casts in the automobile industry.

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confidence: 99%

Next‐Generation Energy Harvesting and Storage Technologies for Robots Across All Scales

Liang

et al. 2022

Advanced Intelligent Systems

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Self‐powered untethered robots that can meander unrestrictedly, squeeze into small spaces, and operate in diverse harsh environments have received immense attention in recent years. As there is not a universal solution that can be applied to power robots with diverse forms, service functions, and a broad size range from nanometers to meters, the design, fabrication, and implementation of power systems with a suitable weight, desired power and operation duration, and adaptiveness to confined spaces and operation conditions represent one of the greatest challenges in robotic research. Herein, an overview of recent progress and challenges in developing the next‐generation energy harvesting and storage technologies is provided, including direct energy harvesting, energy storage and conversion, and wireless energy transmission for robots across all scales.

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Ancient astronomy: Mechanical inspiration

Cited by 8 publications

References 4 publications

Computing as model-based empirical science

Computing as model-based empirical science

Evolution of Timekeeping from Water Clock to Quartz Clock - the Curious Case of the Bulova ACCUTRON 214 the First Transistorized Wristwatch

Next‐Generation Energy Harvesting and Storage Technologies for Robots Across All Scales

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