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The 8th International Seminar on New Paradigm and Innovation on Natural Science and Its Application

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Kategori publikasi dalam jurnal ilmiah: √ Prosiding Forum Ilmiah Internasional (tambahkan  pada kategori yang sesuai) Prosiding Forum Ilmiah Nasional Hasil peer review. Kategori publikasi jurnal ilmiah: √ Prosiding Forum Sains Internasional (tambahkan  pada kategori yang sesuai) Prosiding Forum Sains Nasional. Artikel ditulis lengkap mulai dari judul, abstrak, pengantar literatur dan sesuai usulan Jurnal Fisika: Conf.

The 8th International Seminar on New Paradigm and Innovation on Natural Science and its Application. The 8th International Seminar on New Paradigm and Innovation on Natural Sciences and its Application (ISNPINSA-8) is annual seminars organized by the Faculty of Sciences and Mathematics (FSM) Diponegoro University and has been held successfully since 2011. The objectives of ISNPINSA are to facilitate brainstorming and modern information in the field of sciences and mathematics; to increase innovation of technology that can be applied in industries; to contribute to the formulation of strategy to increase the role of science for society; and to stimulate collaboration between industry, researchers and government to increase community welfare.

The number of participants in the seminar was 272, including keynote speakers, invited speakers, speakers, poster presenters and non-presenters from various institutions from different countries including Japan, Philippines, Thailand, Malaysia, Australia, Bangladesh, China, Kazakhstan, Vietnam and those who they come from all parts of Indonesia, consist of researchers, lecturers, graduate and undergraduate students from various universities. This seminar featured 272 papers consisting of 5 keynote speakers, 237 oral presentations and 30 poster presentations. The scope of the field of participants comes from a variety of fields, including biology, physics, chemistry, statistics, mathematics, informatics, environment, public health, and relevant fields that contribute to sustainable development.

All articles published in this volume of the Journal of Physics: Conference Series have been peer reviewed through processes managed by the editors.

Anto Budiharjo, Ph.D

Dr. Redemtus Heru Tjahyana

Dinar Mutiara Kusumo Nugraheni, Ph.D

Steering Committee

Alan Prahutama, M.Si (Member) Fajar Arianto, M.Si (Member)

Bagus Rahmawan Trianto, S.Kom (Member) Alik Maulidiyah, S.Si (Member)

Peer review statement

A SIMPLIFIED METHOD for WATER-EQUIVALENT DIAMETER CALCULATION to ESTIMATE PATIENT Dosage in CT EXAMS. Information system prediction with weighted moving average (WMA) method and optimization distribution using Vehicle Routing Problem (VRP) model for Batik product. Application mail tracking using RSA algorithm as security data and HOT-Fit an evaluation system model.

Lung cancer target volume calculation from chest computed tomography images using an active contour segmentation method for a treatment planning system. Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Indonesia Department of Informatics, Faculty of Science and Mathematics, Diponegoro University, Indonesia. Nevertheless, some negative aspects, including the increasing number of traffic accidents, cannot be taken for granted.

Factors that trigger traffic accidents range from human error, car accidents to the environment itself. This research aims to propose a method to detect drowsiness using the total pixel algorithm for drivers, using video cameras connected to a computer. The method used in this research is to detect drivers' faces by segmenting RGB images in YCbCr color spectrum, determine the area of ​​the eyes and classify the state of the eyes using total pixel algorithm.

The developed system has been able to detect drowsiness in drivers without glasses with 90.5% to 92% accuracy. Search Source lists SciVal ↗ Create account Log in. 2013) International Journal on Recent and Innovation Trends in Computing and Communication, 1, p. 2002) IEEE Transactions on Pattern Analysis and Machine Intelligence, 24 (1), p. 2013) International Journal of Vehicular Technology, 2013. 2014) International Journal of Advanced Trends in Computer Science and Engineering, 3, pp. 2016) International Journal of Computer Applications, 147, pp. Source Type: Conference Proceeding Original Language: English.

2014) International Journal of Innovative Research & Development, 3, str. 2016) Zbornik predavanj - 2016 3rd International Conference on Information Technology, Computer, and Electrical Engineering, ICITACEE 2016, art.

  • Introduction
  • Method
  • Results
  • Discussion
  • Conclusions
  • Experimental Details
  • Results and Discussion
  • Conclusion

In this study, we modified the noise reduction algorithm presented earlier [13] using a combination of Wiener filter and edge detection. A filtering post-processing algorithm using a combination of Wiener filtering and edge detection. Images of an anthropomorphic phantom were used to visually evaluate the new noise reduction method.

The ROI for noise calculation was 100 x 100 pixels located in a homogeneous area of ​​the image. The spatial resolution of the image was significantly reduced after Wiener filtering, with the edges of the temporal bones becoming noticeably blurred. In contrast, using a modified Wiener filter edge detection, the spatial resolution remained as good as the original image, i.e. the edges of the temporal bones were still very sharp.

Series: Journal of Physics: Conf. a) Axial CT image of an anthropomorphic head phantom, (a) original image, (b) Wiener filtering result, (c) modified Wiener filter edge detection result. The first row shows a zoomed-in view of the temporal bones (spatial resolution), and the second row shows a zoomed-in view of the center of the images (noise). MTF curves of the original image after Wiener filtering and after filtering with a combination of Wiener filter edge detection.

MTF10%, MTF50%, and noise of the original image, after Wiener filtering and after modified Wiener filter edge detection. It is clear that increasing the threshold value decreased the spatial resolution of the image, but its effect on image noise is not straightforward. Dilation results in a wider border around objects in the image, depending on the range of the structuring element (strel) used.

To overcome this effect, several noise reduction methods have been developed that maintain the spatial resolution of the image [9-11]. The current study examined the performance of the algorithm and improved the method by adding a dilation process after edge detection. The spatial resolution and noise of the image are affected by many parameters in this method, including the kernel size in the Wiener filter, the edge detection threshold, and the size of the structuring element used for dilation.

The spatial resolution and noise of the filtered images were affected by the values ​​of Wiener filter kernel size, edge detection threshold, and structuring element size. Low-dose CT of the abdomen: evaluation of image enhancement using noise reduction filters - pilot study.

Figure 1. The algorithm of the post-processing filtering using a combination of Wiener filtering and  edge detection
Figure 1. The algorithm of the post-processing filtering using a combination of Wiener filtering and edge detection

Gambar

Figure 1. The algorithm of the post-processing filtering using a combination of Wiener filtering and  edge detection
Figure 2. (a) Adult anthropomorphic phantom, (b) self-built wire phantom.
Figure 3. Region of interest for (a) MTF calculation, and (b) noise calculation.
Table 1. MTF10%, MTF50%, and noise of the original image, after Wiener filtering and after  modified Wiener-filter-edge detection
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