Evaluation of Waft Awareness Effectiveness LED on the Substance via a Mutational-Status Method: Correlation with Dot Fractal Activity



Dot fractal activity, Diffuse awareness outward-form, Glimmer awareness rate, Imbalance awareness rate


Dot fractal activity (DFA) became a very useful tool in the physical sciences, with a wide range of applications to characterize different substances. The most commonly used method for calculating the DFA inside a substance is the circular arithmetic operation. This technique is often performed on images and dots. However, there is some weakness when dealing with inner circular porous surfaces in images. In this study, we present a mutational-status method for calculating the DFA of a circular porous surface based on LEDs. We used a new program, called Di-aof which is based on the LED DFA algorithm, which overcomes the limitations of existing line calculation algorithms when processing circular porous surfaces. LEDs also allow us to dealing with both global and local level evaluations at each circular porous surface vertex. Express a uneven mutational-status of the GAR-IAR, of the max-med in terms of the diffuse-tuner outward-form, and the diffuse value of the far mutational-status of the Di-aof-FA-ΨMAX-MED was 10.32±7.44 units, and the diffuse value of the convenient mutational-status of the Di-aof-CO-ΨMAX-MED was 2.73±0.39 units, and the diffuse value of the flank mutational-status of the Di-aof-FL-ΨMAX-MED was 0.97±0.32 units, and the diffuse value of the edge mutational-status of the Di-aof-VI-ΨMAX-MED was (0.16±0.09) units. Di-aof is specially designed and tested for the assessment of the circular porous surface obtained from the LED DFA algorithm based on diffuse awareness outward-form (DAOF). Nevertheless, the program can also dealing with any kind of surface in the form of a glimmer awareness rate-imbalance awareness rate (GAR-IAR).

Proving usefulness by applying Di-aof to a complex study, that observes the progress of transmission and scattering in a substance. Di-aof used to develop a circular porous surface analysis of DFA calculations, and to investigate mutational-status in the distribution and spreading and scattering morphology of gels.


Download data is not yet available.


B. Mandelbrot, in: Freeman (Ed.), The Fractal Geometry of Nature, 1983.

B.B. Mandelbrot, D.E. Passoja, A. Paullay, Fractal character of fracture surfaces of metals, Nature 308 (1984) 721–722.

J.G. Amar, F. Family, P.M. Lam, Dynamic scaling of the island-size distribution and percolation in a model of submonolayer molecular-beam epitaxy, Phys. Rev. B. Condens. Matter, 50, 8781–8797, 1994.

M.F. Barnsley, S. Demko, Iterated function systems and the global construction of fractals, Proc. Roy. Soc. London A, 399, 243–275, 1985.

A. Annadhason, Fractal geometry in image processing, International Journal of Recalculate in Management & Technology, 2 (1), 110–114, 2012.

P. Long, W.G. Lv, D.D. Ordinario, Camouflage coatings: reconfigurable infrared camouflage coatings from a cephalopod protein, Adv Mater, 25(39), 5621, 2013.

Krishna, P. R. ., and P. . Rajarajeswari. “EapGAFS: Microarray Dataset for Ensemble Classification for Diseases Prediction”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 10, no. 8, Aug. 2022, pp. 01-15, doi:10.17762/ijritcc.v10i8.5664.

U. Goudarzi, J. Mokhtari, M. Nouri, Camouflage of cotton fabrics in visible and NIR region using three selected vat dyes, Color Res Appl, 39(2) 200e7, 2014.

J.R. Hall, I.C. Cuthill, R. Baddeley, Camouflage, detection and identification of moving targets, Proc Biol Sci, 280, 20130064, 2013.

Sehirli, E., & Alesmaeil, A. (2022). Detecting Face-Touch Hand Moves Using Smartwatch Inertial Sensors and Convolutional Neural Networks. International Journal of Intelligent Systems and Applications in Engineering, 10(1), 122–128. https://doi.org/10.18201/ijisae.2022.275

Kim J.L., Choi J.S. and Hwang K.S., A Study on Anticipation System of Shudder Distinction by the Physical Shift Alteration in Static Condition. The Journal of IIBC (JIIBC), 17(3) 2017, 115-120. DOI 10.7236/JIIBC.2017.17.3.115

Kim J.L. and Kim K.D., Prediction of shiver differentiation by the form alteration on the stable condition. International Journal of Internet Broadcasting and Communication (IJIBC), 9(4) (2017), 8-13. DOI 10.7236/IJIBC.2017.9.4.8

Kim J.L. and Hwang K.S., Study of quake wavelength of dynamic changing-status with posture. International Journal of Advanced Smart Convergence (IJASC), 4(1) (2015), 99-103.

Borgohain, U., Borkotokey, S., & Deka, S. (2022). A Coalition Formation Game for Cooperative Spectrum Sensing in Cognitive Radio Network under the Constraint of Overhead. International Journal of Communication Networks and Information Security (IJCNIS), 13(3). https://doi.org/10.17762/ijcnis.v13i3.5077

Kim J.L. and Kim K.D., Denoteation of central motion techniques: limpness motion function and limpness sensory unit function. International Journal of Advanced Culture Technology (IJACT), 4(3) (2016), 56-61. DOI 10.17703/IJACT.2016.4.3.56

Huiting J., Flisijn H., Kokkeler A.B.J. and Smit G.J.M., Exploiting phase measurements of EPC Gen2 RFID structures. IEEE Int Conf RFID-Technol Appl (RFID-TA), (2013), 1–6.

Bekkali A., Zou S..C, Kadri A., Crisp M. and Penty R.V., Performance analysis of passive UHF RFID systems under cascaded fading channels and interference effects. IEEE Trans Wirel Commun., 14(3) (2015), 1421–33.

DiGiampaolo E. and Martinelli F., Mobile robot localization using the phase of passive UHF RFID signals. IEEE Trans Ind Electron, 61(1) (2014), 365–76.

Gill, D. R. . (2022). A Study of Framework of Behavioural Driven Development: Methodologies, Advantages, and Challenges. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 8(2), 09–12. https://doi.org/10.17762/ijfrcsce.v8i2.2068

López Y. Á., Gómez M.E. and Andrés F.L.H., A received signal strength RFID-based indoor location system, Sensors and Actuators A, 255 (2017), 118–133.

Chawla K., McFarland C., Robins G. and Shope C., Real-time RFID localization using RSS, in: 2013 International Conference on Localization and GNSS (ICL-GNSS), Turin (Italy), (2013)(25–27 June), 1–6

Mutational-Status LED from Glimmer and imbalancefunctionsof red-sight dot tuner location on the substance




How to Cite

J.-L. . Kim, E.-Y. . Kang, H.-C. . Song, G.-S. . Choi, and J.-J. . Kang, “Evaluation of Waft Awareness Effectiveness LED on the Substance via a Mutational-Status Method: Correlation with Dot Fractal Activity ”, Int J Intell Syst Appl Eng, vol. 10, no. 1s, pp. 215 –, Oct. 2022.

Most read articles by the same author(s)