scholarly journals Characterization with dense array data of seismic sources in the shallow part of the San Jacinto fault zone

2020 ◽  
Vol 224 (2) ◽  
pp. 1133-1140
Author(s):  
Chloé Gradon ◽  
Philippe Roux ◽  
Ludovic Moreau ◽  
Albanne Lecointre ◽  
Yehuda Ben Zion
Keyword(s):  
Array Processing ◽  
Meteorological Data ◽  
Processing Technique ◽  
Dense Array ◽  
Data Set ◽  
San Jacinto Fault ◽  
San Jacinto Fault Zone ◽  
Hand Part ◽  
Processing Techniques

SUMMARY We analyse dominant sources identified in a catalogue of more than 156 000 localizations performed using a 26-d data set recorded by a dense array set on the San Jacinto fault near Anza, in California. Events were localized using an array processing technique called Match Field Processing. As for all array processing techniques, the quality of the event position decrease when the events are outside of the array. We thus separate localizations in and outside the array using simple geometrical conditions. We compare the time distribution of the localization to additional data such as meteorological data, day of human activity as well as existing catalogues to determine the nature of the dominant events located using our method. We find that most of the events located outside of the array could be attributed to a surface structure excited by wind. On the other hand, part of the localizations under the array occur during regional earthquakes and could correspond to diffraction on the fault's heterogeneities. The rest of the localizations inside the array could be generated by the fault itself.

scholarly journals EFFECT OF PROCESSING TECHNIQUES ON FLAVOUR AND CHARACTERISTICS OF COCOA PROCESSED AND CHOCOLATE PRODUCTS. (Pengaruh Cara Pengolahan Terhadap Citarasa dan Karakteristik Produk Olahan Kakao dan Cokelat)

2017 ◽  
Vol 12 (1) ◽  
pp. 1-13
Author(s):  
Agus Sudibyo
Keyword(s):  
Manufacturing Process ◽  
Processing Technique ◽  
Cocoa Beans ◽  
Post Harvest ◽  
Cocoa Products ◽  
Potential Benefits ◽  
Processed Products ◽  
Processing Techniques

Flavour is important factor and central to acceptability of cocoa products such as chocolate and contributes to determining the quality.  The quality of chocolate flavour is influence by several variable factors since in the stage of post-harvest treatments and handling till in manufacturing process. The aim of this paper was review and discuss all relevant studies in relation to cocoa beans and chocolate production, and identify their influence of processing techniques on flavour and characteristics of the cocoa processed products.  This information hopefully has potential benefits on the making process of a chocolate manufacture.Keywords: cocoa, processing technique, flavour, characteristic, chocolate.ABSTRAK. Citarasa merupakan salah satu faktor penting dan sebagai salah satu pusat penerimaan produk olahan kakao seperti cokelat dan berkontribusi dalam penetapan mutu. Mutu citarasa produk cokelat dipengaruhi oleh beberapa variabel faktor, sejak pada tahap penanganan pasca-panen hingga tahap proses pengolahan di pabrik. Tulisan ini disajikan bertujuan untuk mengulas dan membahas serta mendiskusikan semua hasil studi yang pernah dilakukan, yang berhubungan dengan biji kakao dan produksi cokelat serta mengidentifikasi pengaruh cara pengolahannya terhadap citarasa dan karaketeristik produk olahan kakao. Informasi ini diharapkan mempunyai potensi yang bermanfaat pada proses pengolahan kakao di pabrik cokelat.Kata kunci : kakao, cara pengolahan, citarasa, karakteristik, cokelat.

scholarly journals Improved Image Processing Techniques for User Immersion Problem Alleviation in Virtual Reality Environments

2020 ◽  
Vol 2 (2) ◽  
pp. 77-84
Author(s):  
Dr. Dhaya R.
Keyword(s):  
Image Processing ◽  
Virtual Reality ◽  
Processing Speed ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Image Processing Techniques ◽  
Processing Techniques

The latest advertisements on the advancements of the virtual reality has paved way for diverse studies, in manifold fields that can benefit by utilizing the technologies of the virtual reality, not excluding the design, gaming and the simulated understanding. Yet whenever a virtual reality device conveys information in form of images with the assistance of the display that is positioned closer to the user’s eyes it faces problems like minimizing the speed of the process and degradation in the quality of images ending up in huge variations across the virtual realism and the realism causing user immersion problems. So to mitigate the immersion problems of the user because of the low quality of image and the minimization of processing speed in the virtual reality environments the paper puts forth an improved image processing technique to improvise the sharpness of the images in order to enhance quality of the images and heighten the processing speed.

scholarly journals Automatic detection of avalanches combining array classification and localization

2019 ◽  
Vol 7 (2) ◽  
pp. 491-503 ◽  
Author(s):  
Matthias Heck ◽  
Alec van Herwijnen ◽  
Conny Hammer ◽  
Manuel Hobiger ◽  
Jürg Schweizer ◽  
...  
Keyword(s):  
Seismic Data ◽  
Markov Models ◽  
Array Processing ◽  
Learning Algorithm ◽  
Processing Technique ◽  
Winter Period ◽  
Multiple Signal Classification ◽  
Training Event ◽  
Processing Techniques

Abstract. We used continuous data from a seismic monitoring system to automatically determine the avalanche activity at a remote field site above Davos, Switzerland. The approach is based on combining a machine learning algorithm with array processing techniques to provide an operational method capable of near real-time classification. First, we used a recently developed method based on hidden Markov models (HMMs) to automatically identify events in continuous seismic data using only a single training event. For the 2016–2017 winter period, this resulted in 117 events. Second, to eliminate falsely classified events such as airplanes and local earthquakes, we implemented an additional HMM-based classifier at a second array 14 km away. By cross-checking the results of both arrays, we reduced the number of classifications by about 50 %. In a third and final step we used multiple signal classification (MUSIC), an array processing technique, to determine the direction of the source. As snow avalanches recorded at our arrays typically generate signals with small changes in source direction, events with large changes were dismissed. From the 117 initially detected events during the 4-month period, our classification workflow removed 96 events. The majority of the remaining 21 events were on 9 and 10 March 2017, in line with visual avalanche observations in the Davos region. Our results suggest that the classification workflow presented could be used to identify major avalanche periods and highlight the importance of array processing techniques for the automatic classification of avalanches in seismic data.

Progress in Single Crystal Growth of Wide Bandgap Semiconductor SiC

2019 ◽  
Vol 954 ◽  
pp. 35-45
Author(s):  
Chun Jun Liu ◽  
T.H. Peng ◽  
B. Wang ◽  
Y. Guo ◽  
Y.F. Lou ◽  
...  
Keyword(s):  
Crystal Growth ◽  
Processing Technique ◽  
Wide Bandgap ◽  
High Quality ◽  
Wafer Processing ◽  
Increasing Demand ◽  
Control Wafer ◽  
Processing Techniques ◽  
Sic Wafer

The research and commercialization of SiC based power device have been burgeoning over the last decade worldwide, which is bringing about an increasing demand on lost-cost and low-defect SiC wafers. To meet this challenge, we have been continuously making efforts on improving the crystal growth and wafer processing techniques. Now, the mass-production of high quality 4-inch, 6-inch n-type and semi-insulating SiC wafers has been realized. Statistically, the micropipe density is lower than 0.5 cm-2. The resistivity of the wafers is lower than 0.02 Ω·cm and up to 108 Ω·cm for n-type and semi-insulating SiC single crystals, respectively. A state of the art processing technique has been developed to control wafer deformation and thickness within the desired values for subsequent epitaxy. The total defect number of the epitaxial layers grown on the "epi-ready" 4-inch SiC wafer is 63, and the usable area is 97.6%, indicating the high quality of our SiC substrates.

scholarly journals A New Dataset method for Biomechanical Training Model of the Free Throws Shots in Basketball Using Image Processing Technique

2019 ◽  
Vol 13 (2) ◽  
pp. 132
Author(s):  
Sumaia Saraireh ◽  
Ahmad Hassanat ◽  
Mohammad Abu Al-Taieb ◽  
Hashem A Kilani
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Sagittal Plane ◽  
Training Model ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Data Set ◽  
Free Throw ◽  
Basketball Game ◽  
Processing Techniques

This work provides a new dataset method intended to build a biomechanical training model for the free-throws shots in basketball. Eight youth players from Jordanian secondary public school were video recorded from the sagittal plane executing free throw shots in basketball. Collectively (480) video clips were recorded and analyzed using image processing techniques to identify the ball track. Video processing involves extracting (11) different parameters that may affect the free throw in basketball game after detecting the ball trajectory. Creation of this dataset and its subsequent use for extracting free-throws information yielded several insights. First, a set of most important features were identified as those affecting the free-throws score in basketball. Second, our data set can be trained and tested using machine learning classifiers for building a new biomechanical training model based on set of rules that can be useful for both trainers and trainee to rehearse on successful free-throws in basketball. The dataset is being made publicly available at www.ju.edu.jo.

scholarly journals The Processing Technique of Urutan Celeng as A Superior Product for Culinary Tour in Sangeh Abiansemal Tourism Village, Badung, Bali, Indonesia

2020 ◽  
Vol 11 ◽  
pp. 292-300
Author(s):  
I Nyoman Tri Sutaguna ◽  
I Ketut Sirna ◽  
I Gusti Bagus Rai Utama
Keyword(s):  
Research Method ◽  
Cultural Theory ◽  
Local Food ◽  
Processing Technique ◽  
Qualitative Approach ◽  
Culinary Tourism ◽  
Processed Products ◽  
Processing Techniques ◽  
Depth Interviews

one of the goals of tourism development in Indonesia is to develop local food in an area including traditional Balinese food globally. For now, this goal has not been achieved as expected. This happens because the local food in the villages is still abundant and not fully utilized. One example is the food that is usually used as a presentation/offering in Sangeh Tourism Village. This research will discuss the types of “Urutan Celeng” that can be developed into superior culinary tourism products as well as what cooking techniques can be done to improve the quality of “Urutan Celeng” in Sangeh Tourism Village, Abiansemal District, Badung Regency. The research method was carried out with a qualitative approach using several The informants were selected purposely and the data collection techniques were carried out by the method of observation, in-depth interviews and documentation studies with the theory developed in the form of the theory of culinary tourism and its several microforms, and cultural theory. The results showed the types of processed products such as urutan celeng metunu (smoked), urutan celeng medendeng (dried in the sun), the urutan celeng mekukus (steamed), and “Urutan Celeng” (just finished processing). Processing techniques that can be done to develop culinary tourism are related to the preparation of ingredients, processing of ingredients, and serving of food to be able to create new variations and good quality products for tourists to enjoy. 

Deep Learning Approaches for Whiteboard Image Quality Enhancement

2019 ◽  
Vol 2019 (1) ◽  
pp. 360-368
Author(s):  
Mekides Assefa Abebe ◽  
Jon Yngve Hardeberg
Keyword(s):  
Deep Learning ◽  
Image Quality ◽  
Image Data ◽  
Quality Enhancement ◽  
Network Architectures ◽  
Learning Approaches ◽  
Data Set ◽  
Image Quality Enhancement ◽  
Processing Techniques ◽  
White Balancing

Different whiteboard image degradations highly reduce the legibility of pen-stroke content as well as the overall quality of the images. Consequently, different researchers addressed the problem through different image enhancement techniques. Most of the state-of-the-art approaches applied common image processing techniques such as background foreground segmentation, text extraction, contrast and color enhancements and white balancing. However, such types of conventional enhancement methods are incapable of recovering severely degraded pen-stroke contents and produce artifacts in the presence of complex pen-stroke illustrations. In order to surmount such problems, the authors have proposed a deep learning based solution. They have contributed a new whiteboard image data set and adopted two deep convolutional neural network architectures for whiteboard image quality enhancement applications. Their different evaluations of the trained models demonstrated their superior performances over the conventional methods.

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