scholarly journals A Novel Comprehensive Detection Method for the Dynamic Characteristics of Coalface Overburden: A Case Study in China

Minerals ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 21 ◽  
Author(s):  
Wei Zhang ◽  
Zhi Yang ◽  
Dongsheng Zhang ◽  
Xufeng Wang ◽  
Peng Li ◽  
...  
Keyword(s):  
Dynamic Characteristics ◽  
Detection Method

scholarly journals Monitoring and Analysis of Dynamic Characteristics of Super High-rise Buildings using GB-RAR: A Case Study of the WGC under Construction, China

2020 ◽  
Vol 10 (3) ◽  
pp. 808 ◽  
Author(s):  
Lv Zhou ◽  
Jiming Guo ◽  
Xuelin Wen ◽  
Jun Ma ◽  
Fei Yang ◽  
...  
Keyword(s):  
Wavelet Analysis ◽  
Dynamic Characteristics ◽  
Horizontal Displacement ◽  
Dynamic Monitoring ◽  
High Rise ◽  
The North ◽  
Study Results ◽  
Under Construction ◽  
East West

Accurate dynamic characteristics of super high-rise buildings serve as a guide in their construction and operation. Ground-based real aperture radar (GB-RAR) techniques have been applied in monitoring and analyzing the dynamic characteristics of different buildings, but only few studies have utilized them to derive the dynamic characteristics of super high-rise buildings, especially those higher than 400 m and under construction. In this study, we proposed a set of technical methods for monitoring and analyzing the dynamic characteristics of super high-rise buildings based on GB-RAR and wavelet analysis. A case study was conducted on the monitoring and analysis of the dynamic characteristics of the Wuhan Greenland Center (WGC) under construction (5–7 July 2017) with a 636 m design height. Displacement time series was accurately derived through GB-RAR and wavelet analysis, and the accuracy reached the submillimeter level. The maximum horizontal displacement amplitudes at the top of the building in the north–south and east–west directions were 18.84 and 15.94 mm, respectively. The roof displacement trajectory of the WGC was clearly identified. A certain negative correlation between the temperature and displacement changes at the roof of the building was identified. Study results demonstrate that the proposed method is effective for the dynamic monitoring and analysis of super high-rise buildings with noninvasive and nondestructive characteristics.

Temperature Dynamic Characteristics of Power-Generation Cabin in Antarctic: Case Study for Dome A

2018 ◽  
Vol 144 (1) ◽  
pp. 05017004 ◽  
Author(s):  
Zilong Deng ◽  
Ying Zhou ◽  
Xiangdong Liu ◽  
Chengbin Zhang ◽  
Yongping Chen
Keyword(s):  
Power Generation ◽  
Dynamic Characteristics ◽  
Dome A ◽  
Temperature Dynamic

scholarly journals New Edge Detection Method Using Elisabeth Method: Case Study Javanese Batiks

2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Elisabeth Denis Setiani ◽  
Suyoto Suyoto
Keyword(s):  
Image Processing ◽  
Edge Detection ◽  
Detection Method ◽  
New Method ◽  
Unique Pattern ◽  
Low Level ◽  
Edge Detection Method

Abstract. This article will introduce a new edge detection method called Elisabeth method to analyze image. The case study here is Javanese Batik’s motif. Edges are basic low level primitives for image processing. It helps to identify pictures. Methods used are the combination between Sobel and Prewitt. This method is completely new to analyze Javanese Batik’s motif. Every batik motif has unique pattern. The purpose of this research is to improving edge detection method that already known now. The result is a new method in edge detection problems. Batik is one of the Indonesian Heritage that avowed as a Heritage World Cultures. With this research it hoped can help our country to classify and identify Batik’s motif items in Indonesia. Keywords: Prewitt, Sobel, Elisabeth, Javanese Batik, Parang, Kawung Abstrak. Metode Baru Deteksi Tepi Menggunakan Metode Elisabeth: Studi Kasus Batik Jawa. Artikel ini akan memperkenalkan sebuah metode baru deteksi tepi yang disebut dengan metode Elisabeth untuk menganalisis citra. Studi kasus yang digunakan disini adalah motif Batik Jawa. Tepi adalah primitif level dasar untuk pemrosesan citra. Ini membantu mengidentifikasi gambar. Metode yang digunakan adalah kombinasi antara Sobel dan Prewitt. Metode ini benar-benar baru untuk menganalisis motif Batik Jawa. Setiap motif batik memiliki pola yang unik. Tujuan dari penelitian ini adalah untuk meningkatkan metode deteksi tepi yang sudah dikenal sekarang. Hasilnya adalah metode baru dalam masalah deteksi tepi. Batik adalah salah satu Warisan Indonesia yang diakui sebagai Warisan Budaya Dunia. Dengan penelitian ini diharapkan dapat membantu negara kita untuk mengklasifikasikan dan mengidentifikasi motif Batik di Indonesia. Kata Kunci: Prewitt, Sobel, Elisabeth, Batik Jawa, Parang, Kawung

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