scholarly journals A Self-Supervised Tibetan-Chinese Vocabulary Alignment Method

2021 ◽  
Vol 12 (4) ◽  
pp. 13-20
Author(s):  
Enshuai Hou ◽  
Jie zhu ◽  
Liangcheng Yin ◽  
Ma Ni
Keyword(s):  
The Self ◽  
Experimental Results ◽  
Learning Method ◽  
Training Method ◽  
Alignment Method ◽  
Adversarial Learning ◽  
Parallel Corpus ◽  
Data Alignment ◽  
Similarity Calculation ◽  
Adversarial Training

Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved selfsupervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. The seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy.

scholarly journals A Self-Supervised Tibetan-Chinese Vocabulary Alignment Method based on Adversarial Learning

2021 ◽  
Author(s):  
Enshuai Hou ◽  
Jie zhu
Keyword(s):  
The Self ◽  
Experimental Results ◽  
Chinese Characters ◽  
Training Method ◽  
Alignment Method ◽  
Adversarial Learning ◽  
Semantic Correlation ◽  
Data Alignment ◽  
Similarity Calculation ◽  
Adversarial Training

Tibetan is a low-resource language. In order to alleviate the shortage of parallel corpus between Tibetan and Chinese, this paper uses two monolingual corpora and a small number of seed dictionaries to learn the semi-supervised method with seed dictionaries and self-supervised adversarial training method through the similarity calculation of word clusters in different embedded spaces and puts forward an improved self-supervised adversarial learning method of Tibetan and Chinese monolingual data alignment only. The experimental results are as follows. First, the experimental results of Tibetan syllables Chinese characters are not good, which reflects the weak semantic correlation between Tibetan syllables and Chinese characters; second, the seed dictionary of semi-supervised method made before 10 predicted word accuracy of 66.5 (Tibetan - Chinese) and 74.8 (Chinese - Tibetan) results, to improve the self-supervision methods in both language directions have reached 53.5 accuracy.

scholarly journals Harnessing the Adversarial Perturbation to Enhance Security in the Autoencoder-Based Communication System

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 294
Author(s):  
Zhixiang Deng ◽  
Qian Sang
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Communication System ◽  
Deep Neural Network ◽  
The Self ◽  
Full Duplex ◽  
Training Method ◽  
Adversarial Training ◽  
Simulation Results ◽  
Secure Transmission

Given the vulnerability of deep neural network to adversarial attacks, the application of deep learning in the wireless physical layer arouses comprehensive security concerns. In this paper, we consider an autoencoder-based communication system with a full-duplex (FD) legitimate receiver and an external eavesdropper. It is assumed that the system is trained from end-to-end based on the concepts of autoencoder. The FD legitimate receiver transmits a well-designed adversary perturbation signal to jam the eavesdropper while receiving information simultaneously. To defend the self-perturbation from the loop-back channel, the legitimate receiver is re-trained with the adversarial training method. The simulation results show that with the scheme proposed in this paper, the block-error-rate (BLER) of the legitimate receiver almost remains unaffected while the BLER of the eavesdropper is increased by orders of magnitude. This ensures reliable and secure transmission between the transmitter and the legitimate receiver.

Lateral Tire Forces on Wet Roads

1977 ◽  
Vol 5 (2) ◽  
pp. 75-82 ◽  
Author(s):  
A. Schallamach
Keyword(s):  
Normal Load ◽  
The Self ◽  
Experimental Results ◽  
Slip Angle ◽  
Tire Model ◽  
Side Force ◽  
Tire Forces

Abstract Expressions are derived for side force and self-aligning torque of a simple tire model on wet roads with velocity-dependent friction. The results agree qualitatively with experimental results at moderate speeds. In particular, the theory correctly predicts that the self-aligning torque can become negative under easily realizable circumstances. The slip angle at which the torque reverses sign should increase with the normal load.

METODE DEMONSTRASI DAN LATIHAN GUNA MENINGKATKAN HASIL BELAJAR SKETSA PADA SISWA KELAS X DKV DI SMK NEGERI 9 MEDAN

2019 ◽  
Vol 8 (2) ◽  
pp. 435
Author(s):  
Lystia Nurhaliza Hasibuan ◽  
R. Triyanto ◽  
Raden Burhan ◽  
Mangatas Mangatas
Keyword(s):  
Action Research ◽  
Learning Outcomes ◽  
Research Method ◽  
Initial Conditions ◽  
Research Subject ◽  
Learning Method ◽  
Training Method ◽  
Classroom Action Research ◽  
Academic Year ◽  
And Training

AbstrakPenelitian ini dilaksanakan di SMK Negeri 9 Medan, Jenis penelitian yaitu Penelitian Tindakan Kelas. Subjek penelitian ini adalah siswa kelas X DKV 1 yang berjumlah 36 orang siswa terdiri dari 20 laki-laki dan 16 perempuan, Penelitian ini bertujuan untuk meningkatkan hasil belajar sketsa, melalui motode demonstrasi dan latihan. Berdasarkan hasil observasi awal yang di temukan oleh peneliti, masih rendahnya hasil belajar sketsa siswa. Peneliti melakukan pre test untuk mengetahui kondisi awal sebelum dilaksanakannya tindakan persiklus. Hasil pre test menunjukkan masih rendahnya ketuntasan belajar siswa, dari 36 orang siswa hanya 7 orang siswa (19,4%) yang tuntas dalam pembelajaran sketsa. Penelitian ini menggunakan motode pembelajaran demonstrasi dan latihan. Pada siklus I diperoleh 24 orang siswa (66,7%) yang tuntas dan 12 orang siswa (33,3%) yang tidak tuntas. Dengan begitu, peneliti melanjutkan ke siklus II dengan perolehan 35 orang siswa (97,2%) yang tuntas dan 1 orang siswa (2,8%) tidak tuntas dalam pembelajaran sketsa. Terdapat peningkatan dari siklus I ke siklus II sebesar 30,5%, maka peneliti tidak melanjutkan ke siklus berikutnya. Dengan demikian dapat disimpulkan bahwa penggunaan motode pembelajaran demonstrasi dan latihan dapat meningkatkan kemampuan belajar sketsa pada siswa kelas X DKV 1 di SMK Negeri 9 Medan Tahun Pembelajaran 2019/2020.Kata Kunci: hasil belajar, sketsa, demonstrasi, latihan.AbstractThis research was conducted at SMK Negeri 9 Medan. The research employs a classroom action research method. The research subject was the ten grade students of DKV 1 with a total of 36 students consist of 20 men and 16 women. This research aims to improve skectch learning outcomes through demonstration and training method. Based on the results of preliminary observations found by researcher, the researcher found the low student sketch learning outcomes. The researcher used a pre-test to determine the initial conditions before the pre-cycle action was carried out. The result of pre-test showed that students' learning completeness was still low. From 36 students only 7 students (19,4%) who complete in sketching learning. This research was taught by using demonstration and training learning method. In cycle I, there were 24 students (66,7%) was complete and 12 students (33,3%) was incomplete. Therefore, the researcher proceed to cycle II with the acquisition of 35 students (97,2%) was complete and 1 students (2,8%) was incomplete in sketch learning. There was increase from cycle I to cycle II of 30,5%, the researcher does not proceed to the next cycle. Thus, it can be concluded that the use of demonstration and training method can improve the ability in sketch learning of the ten grade students DKV I at SMK Negeri 9 Medan in the academic year 2019/2020. Keywords: learning outcomes, sketch, demonstration, training.

scholarly journals Adaptability of Ultrasonic Lamb Wave Touchscreen to the Variations in Touch Force and Touch Area

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1736
Author(s):  
Zengchong Yang ◽  
Xiucheng Liu ◽  
Bin Wu ◽  
Ren Liu
Keyword(s):  
Lamb Wave ◽  
Weight Coefficient ◽  
The Self ◽  
Reference Database ◽  
Learning Method ◽  
Improved Method ◽  
Large Area ◽  
Localization Model ◽  
Reference Databases ◽  
First Time

Previous studies on Lamb wave touchscreen (LWT) were carried out based on the assumption that the unknown touch had the consistent parameters with acoustic fingerprints in the reference database. The adaptability of LWT to the variations in touch force and touch area was investigated in this study for the first time. The automatic collection of the databases of acoustic fingerprints was realized with an experimental prototype of LWT employing three pairs of transmitter–receivers. The self-adaptive updated weight coefficient of the used transmitter–receiver pairs was employed to successfully improve the accuracy of the localization model established based on a learning method. The performance of the improved method in locating single- and two-touch actions with the reference database of different parameters was carefully evaluated. The robustness of the LWT to the variation of the touch force varied with the touch area. Moreover, it was feasible to locate touch actions of large area with reference databases of small touch areas as long as the unknown touch and the reference databases met the condition of equivalent averaged stress.

scholarly journals Diversity Adversarial Training against Adversarial Attack on Deep Neural Networks

Symmetry ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 428
Author(s):  
Hyun Kwon ◽  
Jun Lee
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Diversity Training ◽  
Original Data ◽  
Training Method ◽  
Learning Framework ◽  
Adversarial Examples ◽  
Adversarial Training ◽  
Adversarial Attack ◽  
Accuracy Rates

This paper presents research focusing on visualization and pattern recognition based on computer science. Although deep neural networks demonstrate satisfactory performance regarding image and voice recognition, as well as pattern analysis and intrusion detection, they exhibit inferior performance towards adversarial examples. Noise introduction, to some degree, to the original data could lead adversarial examples to be misclassified by deep neural networks, even though they can still be deemed as normal by humans. In this paper, a robust diversity adversarial training method against adversarial attacks was demonstrated. In this approach, the target model is more robust to unknown adversarial examples, as it trains various adversarial samples. During the experiment, Tensorflow was employed as our deep learning framework, while MNIST and Fashion-MNIST were used as experimental datasets. Results revealed that the diversity training method has lowered the attack success rate by an average of 27.2 and 24.3% for various adversarial examples, while maintaining the 98.7 and 91.5% accuracy rates regarding the original data of MNIST and Fashion-MNIST.

The Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Method

2020 ◽  
Author(s):  
Yu-Xiang Zhao ◽  
Yi-Zeng Hsieh ◽  
Shih-Syun Lin
Keyword(s):  
Deep Learning ◽  
Experimental Results ◽  
Automatic Annotation ◽  
Learning Method ◽  
Facial Region ◽  
Facial Landmarks ◽  
Image Capturing ◽  
The Face ◽  
Facial Contours

With advances in technology, photo booths equipped with automatic capturing systems have gradually replaced the identification (ID) photo service provided by photography studios, thereby enabling consumers to save a considerable amount of time and money. Common automatic capturing systems employ text and voice instructions to guide users in capturing their ID photos; however, the capturing results may not conform to ID photo specifications. To address this issue, this study proposes an ID photo capturing algorithm that can automatically detect facial contours and adjust the size of captured images. The authors adopted a deep learning method (You Only Look Once) to detect the face and applied a semi-automatic annotation technique of facial landmarks to find the lip and chin regions from the facial region. In the experiments, subjects were seated at various distances and heights for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm can effectively and accurately capture ID photos that satisfy the required specifications.

scholarly journals Application of Sensors in Intelligent Clothing Design

2018 ◽  
Vol 14 (06) ◽  
pp. 4
Author(s):  
Shali Jiang ◽  
Qiong Ren
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Experimental Results ◽  
Machine Learning Method ◽  
Learning Method ◽  
Clothing Design ◽  
Artificial Intelligence Technology ◽  
Contact Sensor ◽  
Intelligent Clothing ◽  
Contact Sensors

<p class="0abstract"><span lang="EN-US">In order to study the application of sensors in intelligent clothing design, the artificially intelligent cutting-edge technology -machine learning method was proposed to combine a variety of signals of non-contact sensors in several different positions. Higher accuracy was achieved, while maintaining the comfort brought by a non-contact sensor. The experimental results showed that the proposed strategy focused on the combination of clothing design technology and artificial intelligence technology. As a result, without changing the sensor materials, it enhances the comfort and precision of clothing, eliminates the comfort reduced by sensor close to the skin, and transforms inaccurate measurement into accurate measurement. </span></p>

RAMAN SPECTRA OF THE H2SO4–SO3 AND D2SO4–SO3 SYSTEMS: EVIDENCE FOR THE OCCURRENCE OF POLYSULPHURIC ACIDS

1962 ◽  
Vol 40 (4) ◽  
pp. 658-674 ◽  
Author(s):  
R. J. Gillespie ◽  
E. A. Robinson
Keyword(s):  
Sulphuric Acid ◽  
Raman Spectra ◽  
Ionic Species ◽  
The Self ◽  
Experimental Results ◽  
Similar Work ◽  
Stretching Vibrations ◽  
Sulphur Trioxide ◽  
High Concentrations

The Raman spectra of oleums, i.e. mixtures of sulphur trioxide and sulphuric acid, have been re-examined. Similar measurements on the sulphur trioxide – deuterosulphuric acid (D2SO4) system are also reported. The experimental results and conclusions of previous similar work on oleums are discussed. By comparison of the spectra of oleums with those of the polysulphuryl halides it is shown that the polysulphuric acids H2S2O7 and H2S3O10 are present in this system. The increase in the frequency of the SO2 stretching vibrations with increasing concentration of sulphur trioxide gives evidence for the existence of higher polysulphuric acids such as H2S4O13 at high concentrations of sulphur trioxide. In relatively concentrated oleum, sulphur trioxide monomer and trimer are also present. It is shown that the self-dissociation of liquid H2S2O7 gives mainly molecular H2S2O10 and H2SO4 and not ionic species. The conclusions reached from the interpretation of the Raman spectra of the D2SO4–SO3 system are similar to those arrived at for sulphuric acid oleums. The spectra of solutions of NaHSO4 in oleums were also examined, and are discussed.

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