Technology and Mathematics

Hansson, Sven Ove

doi:10.1007/s13347-019-00348-9

Cited by 22 publications

(13 citation statements)

References 94 publications

(66 reference statements)

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“…Arithmetic operation is one of the bases of computing. , Therefore, it is very meaningful to implement basic arithmetic functions by using artificial synapses for the development of neural computing networks. , We found that the EPSC showed an excellent linearity with the light pulse number in a range of 20 (Figure S8a). The Pearson correlation coefficient was 0.998 obtained from the linear fitting of the data (Figure S8b), proving that the device has the ability of establishing a one-to-one relationship between a specific number e in the range from 1 to 20 and EPSC e triggered by e light pulses (Figure a).…”

Section: Resultsmentioning

confidence: 95%

“…Arithmetic operation is one of the bases of computing. 51,52 Therefore, it is very meaningful to implement basic arithmetic functions by using artificial synapses for the development of neural computing networks. 53,54 We found that the EPSC showed an excellent linearity with the light pulse number in a range of 20 (Figure S8a).…”

Section: ■ Results and Discussionmentioning

confidence: 99%

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Transparent Optoelectronic Synapse Based on a CuI Electrode for Arithmetic Operation

Zhao

et al. 2022

ACS Appl. Electron. Mater.

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Transparent optoelectronic synapses are attracting great attention due to their great potentials in constructing "invisible" electronic products. In this work, CuI, a p-type semiconductor with good conductivity and transparency, is adopted as the electrode material. A transparent optoelectronic synapse is fabricated with a structure of CuI/copper-phthalocyanine (CuPc)/indium-tin oxide. The device shows a sensitive and linear response to the light stimulation with a wavelength of 660 nm. Some basic functions of biological synapses, such as pairedpulse facilitation, spike-rate-dependent plasticity, spike-numberdependent plasticity, and so forth, are successfully simulated by this transparent optoelectronic synapse. Furthermore, based on the high linear relationship between the device response and the number of light pulses, basic arithmetic operations of addition, subtraction, multiplication, and division within 20 are realized. The experimental results not only show the good performance of the device as an artificial synapse but also illustrate the great application potential of CuI in transparent and metallic electrode-free optoelectronics.

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Section: Resultsmentioning

confidence: 95%

Section: ■ Results and Discussionmentioning

confidence: 99%

Transparent Optoelectronic Synapse Based on a CuI Electrode for Arithmetic Operation

Zhao

et al. 2022

ACS Appl. Electron. Mater.

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“…The history of humanity also shows its connections to technology and mathematical thinking from the: a) use of simple aide-memoires for counting and arithmetic in weaving, b) constructions of buildings, c) elaboration of trade routes, d) introduction of calculus to solve technological problems faced by societies; and e) use of computers to solve both technological and mathematical problems (BUCHANAN, 2019;HANSSON, 2019).…”

Section: C) Technoracymentioning

confidence: 99%

“…For example, one of the earliest uses of mathematics was involved in the crafts of weaving and drum construction. In this context, advanced hand-weaving traditions have arisen in all parts of the world, as demonstrated by the complex weaving techniques developed by members of many cultures, often geometrical patterns with intricate symmetries (HANSSON, 2019). These technological resources were informed by patterns from the past that transformed into current roles of advanced technologies that promoted the development of mathematical thinking and education (PEA, 1986).…”

Section: C) Technoracymentioning

confidence: 99%

An Ethnomathematical Perspective of STEM Education in a Glocalized World

Rosa

Orey

2021

Bolema

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An Ethnomathematics-based curriculum helps students demonstrate consistent mathematical processes as they reason, solve problems, communicate ideas, and choose appropriate representations through the development of daily mathematical practices. As well, it recognizes connections with Science, Technology, Engineering, and Mathematics (STEM) disciplines. Our pedagogical work, in relation to STEM Education, is based on the Trivium Curriculum for mathematics and ethnomodelling, which provides communicative, analytical, material, and technological tools to the development of emic, etic, and dialogic approaches that are necessary for the elaboration of the school curricula. STEM Education facilitates pedagogical action that connects ethnomathematics; mathematical modelling, problem-solving, critical judgment, and making sense of mathematical and non-mathematical environments, which involves distinct ways of thinking, reasoning, and developing mathematical knowledge in distinct sociocultural contexts. The ethnomathematical perspective for STEM Education proposed here provides a transformative pedagogy that exposes its power to transform students into critical and reflective citizens in order to enable them to transform society in a glocalized world.

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“…This axiomatization shows that the development of new technology is most likely related to the availability of data, human capability, as well as resources attached to the modeling process and the willingness of researchers [13] to develop the new technology. It is also important to mention that many countries are increasing their efforts in developing their own new technology and mathematical modeling research output is crucial in producing new technology [14]. Hence, obtaining scientific support in designing the optimal path of mathematical modeling that impacts new technology development programs is of paramount importance under the certain limit of modeling categorization.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling Research Output Impacting New Technological Development: An Axiomatization to Build Novelty

Bajuri

Siri

Abdullah

2022

Axioms

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The mathematical modeling of research-based output impacting new technology development is crucial for a developing country. However, the complexity of modern mathematical modeling research output makes it unclear over how it can impact the development of new technology. Therefore, this study aims to explore, categorize and formulize the axioms of mathematical modeling research output that impacts the development of new technology. Seven participants were involved in this research. Interviews were conducted to explore their remarkable mathematical modeling output and how the output can impact the development of new technology. The categorization axioms are: i. mathematical modeling for theorizing, ii. mathematical modeling for simulations, iii. mathematical modeling for useable innovation and iv. patent and product commercialization. Finally, the categorization can be formulized as an axiom of mathematical modeling novelty, which is the desired research output. Moreover, patents and commercialization are the elements that mathematical modeling should possess for new technological development. The limited number of participants involved in this study makes this study formulation limited to only some types of mathematical modeling output. However, this substantive formulation could give some ideas in proposing the path and processes on how to enhance the effort for society to develop the culture of mathematical modeling in developing new technology.

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Technology and Mathematics

Cited by 22 publications

References 94 publications

Transparent Optoelectronic Synapse Based on a CuI Electrode for Arithmetic Operation

Transparent Optoelectronic Synapse Based on a CuI Electrode for Arithmetic Operation

An Ethnomathematical Perspective of STEM Education in a Glocalized World

Mathematical Modeling Research Output Impacting New Technological Development: An Axiomatization to Build Novelty

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