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8 results on '"Silviya, Hasana"'

4. A Study on Enhanced Spatial Clustering Using Ensemble DBscan and UMAP to Map Fire Zone in Greater Jakarta, Indonesia

Author

Silviya Hasana and Devi Fitrianah

Subjects
fires, clustering, dbscan, umap, Electronic computers. Computer science, QA75.5-76.95, Computer engineering. Computer hardware, TK7885-7895
Abstract

This research investigated ensemble clustering algorithms and dimensionality reduction for fire zone mapping, specifically DBSCAN + UMAP. We evaluated six clustering methods: DBSCAN, ensemble DBSCAN, DBSCAN + UMAP, ensemble DBSCAN + UMAP, HDBSCAN and Gaussian Mixture Model (GMM). We evaluated our results based on the Silhouette Score and the Davies-Bouldin (DB) index, emphasizing handling irregular cluster shapes, smaller clusters and resolving incompact clusters. Our findings suggested that ensemble DBSCAN + UMAP outperformed five other methods with zero noise clusters indicating clustering results are resistant to outliers, leading to a clearer identification of fire-prone areas, a high Silhouette Score of 0.971, indicating accurate cluster separation of distinct areas of potential fire hazards and an exceptionally low DB Index of 0.05 that indicates compact clusters to identify well-defined and geographically concentrated areas prone to fire hazards. Our findings contribute to the advanced techniques for minimizing the impacts of fires and improving fire hazard assessments in Indonesia.

Published
2023
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6. Improving Color Discrimination for Color Vision Deficiency (CVD) with Temporal-domain Modulation

Author

Silviya, Hasana, Fujimoto, Yuichiro, Plopski, Alexander, Kanbara, Masayuki, Kato, Hirokazu, Silviya, Hasana, Fujimoto, Yuichiro, Plopski, Alexander, Kanbara, Masayuki, and Kato, Hirokazu

Abstract

Color Vision Deficiency (CVD) is often characterized by the inabilityto distinguish color due to a defective or missing cone in the eye.Although it is possible to modify the observed color to make iteasier for users to distinguish, this can lead to color confusion withunaffected colors. To address this problem we investigate how flickercan assist distinguishing colors for CVD patients. In preliminarystudy, we evaluated the efficiency of color and brightness modulationwith 4 participants with normal vision. Our findings suggests thatwhile brightness modulation was ineffective, color modulation canhelp users distinguish between different colors

Published
2023

7. Improving Color Discrimination for Color Vision Deficiency (CVD) with Temporal-domain Modulation

Author

Masayuki Kanbara, Hirokazu Kato, Silviya Hasana, Yuichiro Fujimoto, and Alexander Plopski

Subjects
Brightness, genetic structures, Computer science, Color vision, business.industry, Flicker, 05 social sciences, food and beverages, 020207 software engineering, Pattern recognition, Color blind, 02 engineering and technology, Color discrimination, Modulation (music), 0202 electrical engineering, electronic engineering, information engineering, medicine, 0501 psychology and cognitive sciences, Artificial intelligence, Normal vision, medicine.symptom, business, 050107 human factors, Confusion
Abstract

Color Vision Deficiency (CVD) is often characterized by the inability to distinguish color due to a defective or missing cone in the eye. Although it is possible to modify the observed color to make it easier for users to distinguish, this can lead to color confusion with unaffected colors. To address this problem we investigate how flicker can assist distinguishing colors for CVD patients. In preliminary study, we evaluated the efficiency of color and brightness modulation with 4 participants with normal vision. Our findings suggests that while brightness modulation was ineffective, color modulation can help users distinguish between different colors.

Published
2019

8. Improving Color Discrimination for Color Vision Deficiency (CVD) with Temporal-domain Modulation

Author

Silviya, Hasana, 13968, Fujimoto, Yuichiro, 219, 30755971, Plopski, Alexander, 13969, Kanbara, Masayuki, 80, 10346306, Kato, Hirokazu, 84, 70221182, Silviya, Hasana, 13968, Fujimoto, Yuichiro, 219, 30755971, Plopski, Alexander, 13969, Kanbara, Masayuki, 80, 10346306, Kato, Hirokazu, 84, and 70221182

Abstract

application/pdf, Color Vision Deficiency (CVD) is often characterized by the inabilityto distinguish color due to a defective or missing cone in the eye.Although it is possible to modify the observed color to make iteasier for users to distinguish, this can lead to color confusion withunaffected colors. To address this problem we investigate how flickercan assist distinguishing colors for CVD patients. In preliminarystudy, we evaluated the efficiency of color and brightness modulationwith 4 participants with normal vision. Our findings suggests thatwhile brightness modulation was ineffective, color modulation canhelp users distinguish between different colors, conference paper

Published
2019

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