Improvements of the Maximum Intersection Method for 3D Absolute Earthquake Locations

2012 ◽  
Vol 102 (4) ◽  
pp. 1764-1785 ◽  
Author(s):  
T. Theunissen ◽  
Y. Font ◽  
S. Lallemand ◽  
S. Gautier
Keyword(s):  
Earthquake Locations ◽  
Intersection Method ◽  
Maximum Intersection

scholarly journals Hypocentre determination offshore of eastern Taiwan using the Maximum Intersection method

2004 ◽  
Vol 158 (2) ◽  
pp. 655-675 ◽  
Author(s):  
Yvonne Font ◽  
Honn Kao ◽  
Serge Lallemand ◽  
Char-Shine Liu ◽  
Ling-Yun Chiao
Keyword(s):  
Intersection Method ◽  
Maximum Intersection

Intra-scan intersection method for the determination of pointing biases of an airborne altimeter

2016 ◽  
Vol 37 (3) ◽  
pp. 648-668 ◽  
Author(s):  
Robert Harpold ◽  
James Yungel ◽  
Matthew Linkswiler ◽  
Michael Studinger
Keyword(s):  
Intersection Method

On the inapproximability of maximum intersection problems

2012 ◽  
Vol 112 (19) ◽  
pp. 723-727 ◽  
Author(s):  
Min-Zheng Shieh ◽  
Shi-Chun Tsai ◽  
Ming-Chuan Yang
Keyword(s):  
Maximum Intersection

scholarly journals 3-DP- andS-wave velocity structure and low-frequency earthquake locations in the Parkfield, California region

2016 ◽  
Vol 206 (3) ◽  
pp. 1574-1585 ◽  
Author(s):  
Xiangfang Zeng ◽  
Clifford H. Thurber ◽  
David R. Shelly ◽  
Rebecca M. Harrington ◽  
Elizabeth S. Cochran ◽  
...  
Keyword(s):  
Wave Velocity ◽  
Velocity Structure ◽  
Low Frequency ◽  
Earthquake Locations

Use of macroseismic and instrumental data to reassess earthquake locations: Examples from pre-digital earthquakes in Colombia

2021 ◽  
Vol 111 ◽  
pp. 103467
Author(s):  
Domenico Di Giacomo ◽  
Ana Milena Sarabia
Keyword(s):  
Instrumental Data ◽  
Earthquake Locations

scholarly journals Message Integration Authentication in the Internet-of-Things via Lattice-Based Batch Signatures

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4056 ◽  
Author(s):  
Xiuhua Lu ◽  
Wei Yin ◽  
Qiaoyan Wen ◽  
Kaitai Liang ◽  
Liqun Chen ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Processing Speed ◽  
Quantum Computer ◽  
The Internet ◽  
Small Integer ◽  
Computer Attacks ◽  
Intersection Method ◽  
Small Integer Solution Problem ◽  
The Internet Of Things ◽  
Batch Signature

The internet-of-things (also known as IoT) connects a large number of information-sensing devices to the Internet to collect all kinds of information needed in real time. The reliability of the source of a large number of accessed information tests the processing speed of signatures. Batch signature allows a signer to sign a group of messages at one time, and signatures’ verification can be completed individually and independently. Therefore, batch signature is suitable for data integration authentication in IoT. An outstanding advantage of batch signature is that a signer is able to sign as many messages as possible at one time without worrying about the size of signed messages. To reduce complexity yielded by multiple message signing, a binary tree is usually leveraged in the construction of batch signature. However, this structure requires a batch residue, making the size of a batch signature (for a group of messages) even longer than the sum of single signatures. In this paper, we make use of the intersection method from lattice to propose a novel generic method for batch signature. We further combine our method with hash-and-sign paradigm and Fiat–Shamir transformation to propose new batch signature schemes. In our constructions, a batch signature does not need a batch residue, so that the size of the signature is relatively smaller. Our schemes are securely proved to be existential unforgeability against adaptive chosen message attacks under the small integer solution problem, which shows great potential resisting quantum computer attacks.

Non-cooperative maritime target position and velocity measuring method based on monocular trajectory intersection for video satellite

2017 ◽  
Vol 233 (1) ◽  
pp. 44-56 ◽  
Author(s):  
Shengyi Chen ◽  
Haibo Liu ◽  
Xiaochun Liu ◽  
Qifeng Yu
Keyword(s):  
Target Position ◽  
Measuring Method ◽  
Observation Time ◽  
Measuring Error ◽  
Target Movement ◽  
Practical Applications ◽  
High Measurement ◽  
Velocity Measuring ◽  
Elevation Model ◽  
Intersection Method

This paper presents a passive measuring method based on monocular trajectory intersection, aimed at realizing the position and velocity measurement of a non-cooperative maritime target for video satellite. Due to the fact that the target’s moving range is relatively small in comparison to that of the satellite during the observation time, a large measuring error results when directly using the monocular trajectory intersection method for 3D motion measurement. Therefore, the dynamic sea surface elevation model is employed to increase the maritime target movement constraints, which simplifies the 3D spatial motion of the target to 2D surface motion. By combining the surface constraint and monocular trajectory intersection method, measurement robustness for a non-cooperative maritime target can be greatly improved. Furthermore, a line-surface intersection method is proposed to obtain the initial solution for motion parameters, which increases the nonlinear optimization efficiency. Simulation experiments are conducted to analyze the effect of different error factors on position and velocity accuracy. The results indicate that the proposed method achieves high measurement accuracy and is feasible in practical applications for video satellite.

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