scholarly journals Temporal feature analysis method describing for automata models of computation systems

2021 ◽  
Vol 2094 (3) ◽  
pp. 032043
Author(s):  
M P Sinev ◽  
M A Mitrokhin ◽  
A I Martyshkin ◽  
I N Doroshenko ◽  
A V Dubravin ◽  
...  
Keyword(s):  
Measurement Accuracy ◽  
Time Measurement ◽  
Feature Analysis ◽  
Analysis Method ◽  
Work Process ◽  
Final State ◽  
Models Of Computation ◽  
Temporal Features ◽  
Temporal Feature ◽  
Modified Algorithm

Abstract The paper reported the temporal feature analysis method describing for automata models of computation systems. The method is based on from source algorithm to modified algorithm expanding makes it possible to take characteristics of work process related to execution time measurement. The paper considers the transition method from source algorithm representation to modification a final state machine with additional states providing registration of temporal features. The paper demonstrates method usage example on computer system authorization algorithm, approves an algorithm complexity for features registration O(n) for n-states automata algorithm. The method can be used for a large class algorithm, but is recommended to apply it to an algorithm, separated on procedure thus mean of commands amount should be more than 500 for more time measurement accuracy.

TDC Implementation Based on Internal Delay Module of FPGA

2013 ◽  
Vol 816-817 ◽  
pp. 1063-1068
Author(s):  
Rou Gang Zhou ◽  
Yun Fei Zhou ◽  
Guang Dou Liu ◽  
Xiao Tu
Keyword(s):  
Nuclear Physics ◽  
Measurement Accuracy ◽  
Laser Interferometer ◽  
Interpolation Method ◽  
Time Measurement ◽  
Clock Signal ◽  
Signal Delay ◽  
Digital Conversion ◽  
Sampling Points ◽  
Stable Performance

Currently the time to digital converter (TDC) integrated in FPGA performs time-to-digital conversion in the carry chain mode and inter-slot offset is caused to be severe by internal wiring in the FPGA. Based on the carry chain interpolation method, this paper proposes the method for using a delay module in FPGA to achieve accurate signal delay. By calculating the phase difference of multi-clock signal between two latch sampling points, the interval between two sampling points was obtained. Experimental results indicate a measurement accuracy of 78ps or 52ps can be reached by precisely collecting time through the delay module in FPGA. Compared to the carry chain interpolation method, this method is significantly advantageous in small inter-slot offset, stable performance and convenient design and can meet the requirement for time measurement or requirement by laser interferometer with a nm-level accuracy in nuclear physics.

scholarly journals Video-Based Person Re-Identification by an End-To-End Learning Architecture with Hybrid Deep Appearance-Temporal Feature

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3669 ◽  
Author(s):  
Rui Sun ◽  
Qiheng Huang ◽  
Miaomiao Xia ◽  
Jun Zhang
Keyword(s):  
Feature Representation ◽  
Visual Sensor ◽  
Stream Structure ◽  
Temporal Features ◽  
Feature Structure ◽  
End To End ◽  
Global And Local ◽  
Siamese Networks ◽  
Appearance Feature ◽  
Temporal Feature

Video-based person re-identification is an important task with the challenges of lighting variation, low-resolution images, background clutter, occlusion, and human appearance similarity in the multi-camera visual sensor networks. In this paper, we propose a video-based person re-identification method called the end-to-end learning architecture with hybrid deep appearance-temporal feature. It can learn the appearance features of pivotal frames, the temporal features, and the independent distance metric of different features. This architecture consists of two-stream deep feature structure and two Siamese networks. For the first-stream structure, we propose the Two-branch Appearance Feature (TAF) sub-structure to obtain the appearance information of persons, and used one of the two Siamese networks to learn the similarity of appearance features of a pairwise person. To utilize the temporal information, we designed the second-stream structure that consisting of the Optical flow Temporal Feature (OTF) sub-structure and another Siamese network, to learn the person’s temporal features and the distances of pairwise features. In addition, we select the pivotal frames of video as inputs to the Inception-V3 network on the Two-branch Appearance Feature sub-structure, and employ the salience-learning fusion layer to fuse the learned global and local appearance features. Extensive experimental results on the PRID2011, iLIDS-VID, and Motion Analysis and Re-identification Set (MARS) datasets showed that the respective proposed architectures reached 79%, 59% and 72% at Rank-1 and had advantages over state-of-the-art algorithms. Meanwhile, it also improved the feature representation ability of persons.

scholarly journals Deep Temporal–Spatial Aggregation for Video-Based Facial Expression Recognition

Symmetry ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 52 ◽  
Author(s):  
Xianzhang Pan ◽  
Wenping Guo ◽  
Xiaoying Guo ◽  
Wenshu Li ◽  
Junjie Xu ◽  
...  
Keyword(s):  
Facial Expression ◽  
Facial Expression Recognition ◽  
State Of The Art ◽  
Spatial Aggregation ◽  
Expression Recognition ◽  
Temporal Features ◽  
Visual Descriptors ◽  
Feature Aggregation ◽  
Temporal Feature ◽  
Video Descriptor

The proposed method has 30 streams, i.e., 15 spatial streams and 15 temporal streams. Each spatial stream corresponds to each temporal stream. Therefore, this work correlates with the symmetry concept. It is a difficult task to classify video-based facial expression owing to the gap between the visual descriptors and the emotions. In order to bridge the gap, a new video descriptor for facial expression recognition is presented to aggregate spatial and temporal convolutional features across the entire extent of a video. The designed framework integrates a state-of-the-art 30 stream and has a trainable spatial–temporal feature aggregation layer. This framework is end-to-end trainable for video-based facial expression recognition. Thus, this framework can effectively avoid overfitting to the limited emotional video datasets, and the trainable strategy can learn to better represent an entire video. The different schemas for pooling spatial–temporal features are investigated, and the spatial and temporal streams are best aggregated by utilizing the proposed method. The extensive experiments on two public databases, BAUM-1s and eNTERFACE05, show that this framework has promising performance and outperforms the state-of-the-art strategies.

Heat Transfer-Based Reconstruction of the Concepts and Laws of Classical Thermodynamics

1988 ◽  
Vol 110 (1) ◽  
pp. 243-249 ◽  
Author(s):  
A. Bejan
Keyword(s):  
Heat Transfer ◽  
Point Of View ◽  
Second Law ◽  
Work Processes ◽  
Work Process ◽  
Initial State ◽  
Final State ◽  
Integral Number ◽  
Number Of Cycles ◽  
Classical Thermodynamics

As an alternative to the mechanistic point of view expressed in Carathe´odory’s axioms, it is shown that the laws and concepts of thermodynamics are covered also by two statements made from a purely heat transfer perspective: Axiom I′—The heat transfer is the same in all zero-work processes that take a system from a given initial state to a given final state. Axiom II′—In the immediate neighborhood of every state of a system there are other states that cannot be reached from the first via a zero-work process. The primary concepts of this formulation are heat transfer, temperature, entropy, and zero-work boundary. Axiom I′ is used to define the property “energy,” and to deduce the secondary (derived) concept of “work transfer.” Axiom II′ is used to define the thermodynamic properties of “volume” and “pressure.” In this new heat transfer-based scheme, the analog of the Kelvin–Planck statement of the second law is: “∮δW < 0 is impossible” for an integral number of cycles executed by a closed system while in communication with no more than one pressure reservoir.

Precise Time Measurement Using CTMU

2012 ◽  
Vol 214 ◽  
pp. 232-236
Author(s):  
Xiao Qiong Zuo ◽  
Ya Xian Liu
Keyword(s):  
Measurement Accuracy ◽  
Low Cost ◽  
Time Measurement ◽  
Analog To Digital Converters ◽  
Analog To Digital ◽  
Current Consumption ◽  
Measurement Resolution ◽  
Precise Time

Numerous applications require very precise time measurement. Usually, the measurement accuracy is increased by improve the MCU MIPS. It will take the high cost and current consumption, and the accuracy is limited in the MCU MIPS. Using CTMU channels work in conjunction with Analog to Digital converters, the high precise time measurement with low cost MCU can be achieved, and make the time measurement resolution to 1 nanosecond. CTMU module is available in many Microchip microcontrollers.

Quasi-Static Flooding Analysis Method of a Damaged Ship Considering Oil Spill and Cargo Load

2022 ◽  
pp. 1-21
Author(s):  
Ki-Su Kim ◽  
Myung-Il Roh ◽  
Seung-Min Lee
Keyword(s):  
Equilibrium Position ◽  
Pressure Effect ◽  
Design Stage ◽  
Analysis Method ◽  
Final State ◽  
Damage Stability ◽  
The Time Domain ◽  
Reference Pressure ◽  
Spilled Oil ◽  
Damaged Ship

When a ship is damaged at sea, it is important to predict its behavior as well as whether it is to sink or not. If the ship comes to an equilibrium, the equilibrium position and time should be estimated; otherwise, the time to sink should be estimated. Furthermore, flooding analysis should be carried out not only during the design stage of the ship for preventive reasons, but also after an accident for a better investigation of its causes. In addition, flooding analysis methods that can provide predictions in case of an accident are of particular importance, as there is no time for the required calculations in an emergency. For this purpose, a quasi-static flooding analysis method for the damaged ship in the time domain is proposed in this study. There are a number of studies in which the equilibrium position and time were estimated by flooding analysis. However, most of them have not considered the air pressure effect in fully flooded compartments, and the method of determining the fluid volume in these compartments was not accurate. In the present study, the virtual vent and accumulator method are used to calculate the reference pressure in the fully flooded compartments, and the compartment shape is considered by using polyhedral integration. Also, spilled oil and solid cargo items from the damaged ship are taken into account for realistic flooding analysis. Finally, the damage stability criteria were checked not only in the final state, but also during the entire time of the flooding, as the intermediate states can be more hazardous than the final state. To validate the feasibility of the proposed method, it was applied to a naval ship, which is considerably more stringent for damage stability. As a result, we checked the availability of this study.

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