Computing Technologies to Construct an Islamic Geometric Patterns Respecting the “Hasba” Method

2021 ◽  
pp. 249-260
Author(s):  
Yassine Ait Lahcen ◽  
Abdelaziz Jali ◽  
Ahmed El Oirrak ◽  
Youssef Aboufadil
Keyword(s):  
Geometric Patterns ◽  
Computing Technologies

Pengembangan Alat Pengenalan Bentuk Bangun Geometri Untuk Anak Usia Dini Berbasis Mikrokontroler

CCIT Journal ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 186-196
Author(s):  
Mochamad Fajar Wicaksono ◽  
Muammar Qhadafhi
Keyword(s):  
Early Childhood ◽  
Success Rate ◽  
Geometric Patterns ◽  
Selection Mode ◽  
Geometry Learning

The purpose of this study is to design geometry learning media for early childhood. The tool designed is an interactive introduction tool, so it is hoped can attract early childhood children to learn to recognize and remember geometric patterns. The main brain of the system created is Arduino Mega with microcontroller ATMega2560. The tool created has two modes, namely learning mode and question mode. In learning mode, early childhood can insert geometry objects into the tool, then the tool will provide a description of the image on the LCD and the sound associated with the object entered. In question mode, early childhood will be challenged to enter the geometry objects into the tool according to the question, then the tool will determine whether the geometry entered is correct or false. This learning media is expected to help early childhood to be able to recognize and remember every form of geometry, where based on the results of the test, the selection mode on the tool was 100% successful, the process in the learning mode and the question mode had a success rate of more than 80%.

Decomposition of tasks in a group of robots using cloud computing technologies

2017 ◽  
Vol 12 (1) ◽  
pp. 83-88
Author(s):  
O.V. Darintsev ◽  
A.B. Migranov
Keyword(s):  
Cloud Computing ◽  
Experimental Verification ◽  
Decomposition Algorithms ◽  
Complex Task ◽  
Large Problem ◽  
Working Capacity ◽  
Linear Distribution ◽  
Effective Teams ◽  
Computing Technologies

In this paper, various variants of decomposition of tasks in a group of robots using cloud computing technologies are considered. The specifics of the field of application (teams of robots) and solved problems are taken into account. In the process of decomposition, the solution of one large problem is divided into a solution of a series of smaller, simpler problems. Three ways of decomposition based on linear distribution, swarm interaction and synthesis of solutions are proposed. The results of experimental verification of the developed decomposition algorithms are presented, the working capacity of methods for planning trajectories in the cloud is shown. The resulting solution is a component of the complex task of building effective teams of robots.

Erratum: Distributed Anonymous Mobile Robots: Formation of Geometric Patterns

2006 ◽  
Vol 36 (1) ◽  
pp. 279-280 ◽  
Author(s):  
Ichiro Suzuki ◽  
Masafumi Yamashita
Keyword(s):  
Mobile Robots ◽  
Geometric Patterns

scholarly journals Visual Attention Software: A New Tool for Understanding the “Subliminal” Experience of the Built Environment

2021 ◽  
Vol 11 (13) ◽  
pp. 6197
Author(s):  
Alexandros A. Lavdas ◽  
Nikos A. Salingaros ◽  
Ann Sussman
Keyword(s):  
Visual Attention ◽  
Eye Tracking ◽  
Wearable Sensors ◽  
Computer Gaming ◽  
Geometric Patterns ◽  
Relative Design ◽  
Fixation Points ◽  
High Degree ◽  
Artificial Intelligence Application ◽  
Intelligence Application

Eye-tracking technology is a biometric tool that has found many commercial and research applications. The recent advent of affordable wearable sensors has considerably expanded the range of these possibilities to fields such as computer gaming, education, entertainment, health, neuromarketing, psychology, etc. The Visual Attention Software by 3M (3M-VAS) is an artificial intelligence application that was formulated using experimental data from eye-tracking. It can be used to predict viewer reactions to images, generating fixation point probability maps and fixation point sequence estimations, thus revealing pre-attentive processing of visual stimuli with a very high degree of accuracy. We have used 3M-VAS software in an innovative implementation to analyze images of different buildings, either in their original state or photographically manipulated, as well as various geometric patterns. The software not only reveals non-obvious fixation points, but also overall relative design coherence, a key element of Christopher Alexander’s theory of geometrical order. A more evenly distributed field of attention seen in some structures contrasts with other buildings being ignored, those showing instead unconnected points of splintered attention. Our findings are non-intuitive and surprising. We link these results to both Alexander’s theory and Neuroscience, identify potential pitfalls in the software’s use, and also suggest ways to avoid them.

Pattern Writing by Implantation in a Large-Scale PSII System With Planar Inductively Coupled Plasma Source

2000 ◽  
Vol 624 ◽  
Author(s):  
Lingling Wu ◽  
Hongjun Gao ◽  
Dennis M. Manos
Keyword(s):  
Inductively Coupled Plasma ◽  
Large Scale ◽  
Lateral Diffusion ◽  
Plasma Source ◽  
Direct Writing ◽  
Large Area ◽  
Depth Profiles ◽  
Geometric Patterns ◽  
Planar Coil ◽  
Rf Antenna

ABSTRACTA large-scale plasma source immersion ion implantation (PSII) system with planar coil RFI plasma source has been used to study an inkless, deposition-free, mask-based surface conversion patterning as an alternative to direct writing techniques on large-area substrates by implantation. The apparatus has a 0.61 m ID and 0.51 m tall chamber, with a base pressure in the 10−8 Torr range, making it one of the largest PSII presently available. The system uses a 0.43 m ID planar rf antenna to produce dense plasma capable of large-area, uniform materials treatment. Metallic and semiconductor samples have been implanted through masks to produce small geometric patterns of interest for device manufacturing. Si gratings were also implanted to study application to smaller features. Samples are characterized by AES, TEM and variable-angle spectroscopic ellipsometry. Composition depth profiles obtained by AES and VASE are compared. Measured lateral and depth profiles are compared to the mask features to assess lateral diffusion, pattern transfer fidelity, and wall-effects. The paper also presents the results of MAGIC calculations of the flux and angle of ion trajectories through the boundary layer predicting the magnitude of flux as a function of 3-D location on objects in the expanding sheath

Sign in / Sign up

Export Citation Format

Share Document