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24 results for “surface error”
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Research ArticleOpen accessIn the keywordsThe Ultra-Precision Polishing of Large Aperture Reaction Bonded Silicon Carbide MirrorYong Shu, Yifan Dai, Ziwen Zheng, Shengyi LiProblem statement: Silicon Carbide (SiC) optical materials have become the first choice for mirrors in space optical systems and large ground-based optical systems due to their outstanding mechanical, physical and optical properties. Compared with traditional optical glasses, SiC optical materials are provided with the characteristics of high hardness and multiphase, which embarrass the high efficient fabrication of SiC mirrors with … …Current Research in Nanotechnology, Vol. 1, Issue 2 · 21 Jun 2011 · 10,826 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWeighted Centroid Modified Simplex and Linear Constrained Response Surface Optimization Methods for the Xbar-R Chart Variable DeterminationPongchanun LuangpaiboonProblem statement: Although economic Xbar-R chart designs do guarantee the minimal operating cost, they typically have poor levels of statistical performance measures. The obvious limitation of the economic design is that the Type I error rate seems to be very high for many situations and will cause a large number of false alarms. This situation leads to an investigation of … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,120 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Faulty Solar Panel Detecting and Mapping Method Using aDrone with RGB and Thermal Cameras in Solar Power PlantSoobin Jeon, Dongmahn SeoA solar panel generates electricity power using the sun's rays. It isusually located on a rooftop or open field without shadow. This solar panelis hard to be tested by nonprofessionals. Therefore, we propose a detectingsystem for a faulty solar panel using a drone with an RGB camera and athermal camera. The drone is applied for collecting aerial videos. The RGBcamera … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 4,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,975 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Observation Study for Cold and Freezing Injury of Sugarcane Based on China Meteorological Administration Land Data Assimilation System, CLDAS Temperature DataYanli Chen, Yongming Luo et al.Based on the China meteorological administration Land Surface Data Assimilation System (CLDAS), the CLDAS temperature product is examined and analyzed using remote sensing information, and a revised temperature model is established for the monitoring and evaluation of sugarcane chilling and freezing damage. The results show that: (1) The CLDAS temperature products are highly positively correlated with the measured temperatures of … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 21 Dec 2023 · 5,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Data Security Approach Based on GAN Teganographyand AES-RSA Encryption in a Distributed SystemDerrick Méthode Bagaza, Abraham Walake, Mamoudou Kourouma, Blaise Omer YenkeData security in distributed environments has become a major challenge due to the dispersion of resources, the expansion of the attack surface, and the increasing sophistication of cyber threats. Although traditional mechanisms such as data encryption, multi-factor authentication, and access control systems help to strengthen information protection, these approaches still have certain limitations when faced with advanced attacks and human … …Journal of Computer Science, Vol. 22, Issue 8 · 28 Jul 2026 · 1,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractMesh Simplification by Curvature-Enhanced Quadratic Error MetricsPaolo Pellizzoni, Gianpaolo SavioPolygonal meshes have a significant role in computer graphics, design and manufacturing technology for surface representation and it is often required to reduce their complexity to save memory. An efficient algorithm for detail retaining mesh simplification is proposed; in particular, the method presented is an iterative edge contraction algorithm based on the work of Garland and Heckberts. The original algorithm … …Journal of Computer Science, Vol. 16, Issue 8 · 7 Sep 2020 · 8,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Detection on 3D Print Products and in Concrete Structures Using Image Processing and Convolution Neural NetworkSelorm Garfo, M.A. Muktadir, Sun YiThis paper explores the automated detection of surface defects on 3-D printed products and concrete structures. They are the main factors to evaluate their quality in addition to dimension and roughness. Traditional detection by human inspectors is far from satisfactory. Manual inspection is time-consuming, error-prone and often leads to loss of resources. For this purpose, image processing and deep learning-based … …Journal of Mechatronics and Robotics, Vol. 4, Issue 1 · 26 May 2020 · 12,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Energy Detection and Matched Filter Receivers in Human Body Communication ChannelMohamad Abou El-Nasr, Heba Shaban, Mohammed Al-AbyadhThis study studies the Bit-Error-Rate (BER) performance of matched filter and energy detection receivers in Human Body Communication (HBC) channel model. HBC, as defined by the IEEE 802.15 Task Group (TG) 6, is a Body Area Network (BAN) at frequency band 5-50 MHz, where communication is from body surface to body surface. The Bit-Error-Rate (BER) performance is investigated for Energy … …American Journal of Applied Sciences, Vol. 9, Issue 12 · 5 Jan 2013 · 6,699 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,080 accessesView PDFCite