Short-Time Information Entropy as a Complexity Measure

1998 ◽  
Vol 37 (Part 2, No. 11B) ◽  
pp. L1415-L1417 ◽  
Author(s):  
Masahiro Agu ◽  
Mitsuhiro Yamada
Keyword(s):  
Information Entropy ◽  
Complexity Measure ◽  
Short Time ◽  
Time Information

scholarly journals Monitoring a sudden crack of beam-like bridge during earthquake excitation

2013 ◽  
Vol 35 (3) ◽  
Author(s):  
Nguyen Viet Khoa
Keyword(s):  
Fourier Transform ◽  
Crack Detection ◽  
Crack Depth ◽  
Sudden Change ◽  
Wavelet Spectrum ◽  
Cracked Beam ◽  
Earthquake Excitation ◽  
Time Frequency ◽  
Short Time ◽  
Time Information

This paper presents a wavelet spectrum technique for monitoring a sudden crack of a beam-like bridge structure during earthquake excitation. When there is a sudden crack caused by earthquake excitation the stiffness of the structure is changed leading to a sudden change in natural frequencies during vibration. It is difficult to monitor this sudden change in the frequency using conventional approaches such as Fourier transform because in Fourier transform the time information is lost so that it is impossible to analyse short time events. To overcome this disadvantage, wavelet spectrum, a time-frequency analysis, is used for monitoring a sudden change in frequency duringearthquake excitation for crack detection. In this study, a model of 3D crack is applied. The derivation of the stiffness matrix of a 3D cracked beam element with rectangular section adopted from fracture mechanics is presented. Numerical results showed that the sudden occurrence of the crack during earthquake excitation can be detected by the sudden change in frequency using wavelet power spectrum. When the crack depth increases, the instantaneous frequency (IF) of the structure is decreased.

scholarly journals Information entropy and complexity measure in generalized Kratzer potential

2019 ◽  
Vol 716 ◽  
pp. 257-264 ◽  
Author(s):  
Sangita Majumdar ◽  
Neetik Mukherjee ◽  
Amlan K. Roy
Keyword(s):  
Information Entropy ◽  
Complexity Measure

scholarly journals An Analysis of the Short Utterance Problem for Speaker Characterization

2019 ◽  
Vol 9 (18) ◽  
pp. 3697 ◽  
Author(s):  
Ignacio Viñals ◽  
Alfonso Ortega ◽  
Antonio Miguel ◽  
Eduardo Lleida
Keyword(s):  
Deep Neural Network ◽  
State Of The Art ◽  
Significant Loss ◽  
Point Of View ◽  
Speaker Variability ◽  
Phonetic Similarity ◽  
Short Time ◽  
Short Utterances ◽  
Time Information ◽  
Short Utterance

Speaker characterization has always been conditioned by the length of the evaluated utterances. Despite performing well with large amounts of audio, significant degradations in performance are obtained when short utterances are considered. In this work we present an analysis of the short utterance problem providing an alternative point of view. From our perspective the performance in the evaluation of short utterances is highly influenced by the phonetic similarity between enrollment and test utterances. Both enrollment and test should contain similar phonemes to properly discriminate, being degraded otherwise. In this study we also interpret short utterances as incomplete long utterances where some acoustic units are either unbalanced or just missing. These missing units are responsible for the speaker representations to be unreliable. These unreliable representations are biased with respect to the reference counterparts, obtained from long utterances. These undesired shifts increase the intra-speaker variability, causing a significant loss of performance. According to our experiments, short utterances (3–60 s) can perform as accurate as if long utterances were involved by just reassuring the phonetic distributions. This analysis is determined by the current embedding extraction approach, based on the accumulation of local short-time information. Thus it is applicable to most of the state-of-the-art embeddings, including traditional i-vectors and Deep Neural Network (DNN) xvectors.

scholarly journals EDUCATING FOR FUTURE JOBS

2018 ◽  
Vol 5 ◽  
pp. 338
Author(s):  
Jaonna Lizut ◽  
Gilberto Marzano ◽  
Miroslaw Grewinski
Keyword(s):  
Communication Technology ◽  
Industrial Applications ◽  
Digital Revolution ◽  
Digital Era ◽  
Information And Communication ◽  
Education Support ◽  
Short Time ◽  
Time Information ◽  
New Jobs ◽  
Key Questions

In a relatively short time, information and communication technology (ICT) has spread worldwide, from defense to space to large industrial applications, and to the commercial, healthcare, entertainment, and educational sectors. As a consequence, experts argue that it is urgent and critical to prepare educational programs in order to re-train the current workforce. However, there are some key questions that are very relevant, since they concern crucial and challenging issues: 1) Which jobs have a future in the digital era? 2) How can education support the acquisition of new skills required by the new jobs?This article focuses on the above questions, and presents the main opportunities that the digital revolution offers for sustaining education for future jobs in a lifelong perspective.

Automaton Fault Diagnosis Based on Motion Morphology and Information Entropy

2011 ◽  
Vol 121-126 ◽  
pp. 3175-3179
Author(s):  
Ming Zhi Pan ◽  
Hong Xia Pan ◽  
Run Peng Zhao
Keyword(s):  
Fault Diagnosis ◽  
Information Entropy ◽  
Theoretical Research ◽  
Practical Application ◽  
Transient Vibration ◽  
New Ideas ◽  
Weak Fault ◽  
Short Time ◽  
Time Diagnosis ◽  
General Concern

Online monitoring and fault diagnosis is an important link of guaranteeing the equipment smooth operation and reliable working, which receives general concern. This subject uses the strategy of combining theoretical research and experimental research, and establishes a set of automaton fault diagnosis theory and method based on motion morphology and information entropy. It solves the following problems, the weak fault signals in the short-time and transient vibration response signals are easy to be drowned in practical application, effective and sensitive characteristic parameters are difficult to be extracted, accurate positioning of fault and real-time diagnosis are difficult to be realized. Use the motion morphology and information entropy to put forward new ideas and methods for the short-time and transient vibration signals analysis processing and feature extraction, and is applied in artillery automaton field, which expands the research scope of mechanical fault diagnosis subject.

scholarly journals DEVELOPMENT OF ELECTRONIC TRADE IN AZERBAIJAN AND SOLUTIONS TO THE PROBLEMS IN THIS FIELD

2021 ◽  
Author(s):  
Shamxal Mammadov
Keyword(s):  
Credit Cards ◽  
Electronic Trade ◽  
Payment Cards ◽  
Short Time ◽  
Time Information

The article provides information on the establishment and development of e-commerce in Azerbaijan, emphasizing that the scale of this field will expand in our country in a short time. Information was provided on the number of payment cards in Azerbaijan in 2016-2020, the volume of non-cash payments, transactions with debit and credit cards, transactions per ATM and one POS-terminal. The article also notes the volume of transactions carried out by foreigners visiting Azerbaijan through bank cards in January-October 2021 and e-commerce in Azerbaijan in January-October 2019-2021.

scholarly journals Meningkatkan Kompetensi Pendidik di Era Pembelajaran Abad 21 dengan Menjadi Guru Blogger

2019 ◽  
Vol 4 (1) ◽  
pp. 330-338
Author(s):  
Nurmida Catherine Sitompul ◽  
Rufi'i Rufi'i ◽  
Ibut Priono Leksono ◽  
Heri Wahyu Rejeki
Keyword(s):  
Critical Thinking ◽  
Learning Process ◽  
Creative Thinking ◽  
Problem Solver ◽  
Information Communication ◽  
Learning Skill ◽  
Almost All ◽  
Short Time ◽  
Communication And Technology ◽  
Time Information

Thoughtful Learning has formulated that in 21st Centuries, each students should have 4 C’s learning skill. The 4 C’s skill are critical thinking, creative thinking, communicating, and collaborating. These skills will help students becoming a problem solver.  Method of 4 C’s in the classroom needs materials more variaties, contextual, from many resources  and  differences formats of datas (word, spreadsheed, ppt, video, animation).  Materials for learning should be easy to acces in short time.  Information Communication and Technology (ICT) can facilitates all these conditions. Generally almost all schools in cities have computers  and internet acces but are used as information or school’s publication and do not use yet for learning. The purpose of this activity is to help teachers to create their own Blog to facilitating student’s learning.  The result showed that all teachers can create a Blog for their Subject.  The next activity is about how to integrating Blog into learning process.

scholarly journals Dynamic Path Optimization with Real-Time Information for Emergency Evacuation

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Huajun Zhang ◽  
Qin Zhao ◽  
Zihui Cheng ◽  
Linfan Liu ◽  
Yixin Su
Keyword(s):  
Real Time ◽  
Optimal Path ◽  
Emergency Evacuation ◽  
Path Optimization ◽  
Breadth First Search ◽  
Exit Port ◽  
Dynamic Path ◽  
Short Time ◽  
Real Time Information ◽  
Time Information

In order to find the optimal path for emergency evacuation, this paper proposes a dynamic path optimization algorithm based on real-time information to search the optimal path and it takes fire accident as an example to introduce the algorithm principle. Before the accidents, it uses the Dijkstra algorithm to get the prior evacuation network which includes evacuation paths from each node to the exit port. When the accidents occur, the evacuees are unable to pass through the passage where the accident point and the blocking point are located, then the proposed method uses the breadth-first search strategy to solve the path optimization problem based on the prior evacuation network, and it dynamically updates the evacuation path according to the real-time information. Because the prior evacuation network includes global optimal evacuation paths from each node to the exit port, the breadth-first search algorithm only searches local optimal paths to avoid the blockage node or dangerous area. Because the online optimization solves a local pathfinding problem and the entire topology optimization is an offline calculation, the proposed method can find the optimal path in a short time when the accident situation changes. The simulation tests the performances of the proposed algorithm with different situations based on the topology of a building, and the results show that the proposed algorithm is effective to get the optimal path in a short time when it faces changes caused by the factors such as evacuee size, people distribution, blockage location, and accident points.

What the replication reformation wrought

2018 ◽  
Vol 41 ◽  
Author(s):  
Barbara A. Spellman ◽  
Daniel Kahneman
Keyword(s):  
Reform Movement ◽  
Short Time

AbstractReplication failures were among the triggers of a reform movement which, in a very short time, has been enormously useful in raising standards and improving methods. As a result, the massive multilab multi-experiment replication projects have served their purpose and will die out. We describe other types of replications – both friendly and adversarial – that should continue to be beneficial.

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