scholarly journals Experience Control Analysis of English Reading Software Based on Wireless Binocular Line-of-Sight Sensing

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cheng Feng
Keyword(s):  
Blended Learning ◽  
High Precision ◽  
Semantic Segmentation ◽  
Image Sensor ◽  
English Word ◽  
Word Boundary ◽  
English Text ◽  
English Reading ◽  
Reading Software ◽  
Word Boundaries

This paper proposes a segmented combined English text measurement method based on two sets of orthogonal linear image sensors and one area image sensor. This method fully combines the advantages of the linear image sensor and the area image sensor in long-distance and short-distance English text measurement and can continuously perform high-precision English text tracking within a large range of viewing distance. Based on this method, a set of segmented English text measurement system is designed and constructed. This paper presents a method for extracting English word boundaries based on semantic segmentation to solve the problem of global positioning and horizontal initialization of English reading text. The semantic segmentation method based on fully convolutional networks (FCN) is analyzed, and the target classification is defined. We used the classic FCN framework and model, fine-tuned with manually annotated data, and achieved good segmentation results. For the definition and extraction of English word boundaries in English text, a piecewise linear model is used to measure the projection confidence of each English word boundary point, and the overall observation of the English word boundary is measured. When the observation confidence is high enough, combined with the English word boundaries marked in the high-precision image, the horizontal positioning is obtained by matching the weights. This paper concludes that English reading software can help learners in English learning to a certain extent, which proves that the English reading software is an effective supplement based on blended learning classrooms. Through the analysis of learners and teaching content, an English teaching model based on English reading software blended learning is designed. Experimental studies have proved that English reading software can help learners learn English, which not only expands their vocabulary but also broadens their horizons.

scholarly journals Perception of Allophonic Cues to English Word Boundaries by Polish Learners: Approximant Devoicing in English

2016 ◽  
Vol 14 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Arkadiusz Rojczyk ◽  
Geoffrey Schwartz ◽  
Anna Balas
Keyword(s):  
Reaction Times ◽  
English Word ◽  
Word Boundary ◽  
Chance Level ◽  
Limited Knowledge ◽  
Word Boundaries ◽  
Boundary Location ◽  
Sonorant Voicing

The study investigates the perception of devoicing of English /w, r, j, l/ after /p, t, k/ as a word-boundary cue by Polish listeners. Polish does not devoice sonorants following voiceless stops in word-initial positions. As a result, Polish learners are not made sensitive to sonorant devoicing as a segmentation cue. Higher-proficiency and lower-proficiency Polish learners of English participated in the task in which they recognised phrases such as buy train vs. bite rain or pie plot vs. pipe lot. The analysis of accuracy scores revealed that successful segmentation was only above chance level, indicating that sonorant voicing/devoicing cue was largely unattended to in identifying the boundary location. Moreover, higher proficiency did not lead to more successful segmentation. The analysis of reaction times showed an unclear pattern in which higher-proficiency listeners segmented the test phrases faster but not more accurately than lower-proficiency listeners. Finally, #CS sequences were recognised more accurately than C#S sequences, which was taken to suggest that the listeners may have had some limited knowledge that devoiced sonorants appear only in word-initial positions, but they treated voiced sonorants as equal candidates for word-final and word-initial positions.

Word boundaries in L2 speech: Evidence from Polish learners of English

2016 ◽  
Vol 32 (3) ◽  
pp. 397-426 ◽  
Author(s):  
Geoffrey Schwartz
Keyword(s):  
Second Language ◽  
First Language ◽  
English Word ◽  
Word Boundary ◽  
Integrity Constraint ◽  
Word Boundaries ◽  
The Cross ◽  
Cross Language

Acoustic and perceptual studies investgate B2-level Polish learners’ acquisition of second language (L2) English word-boundaries involving word-initial vowels. In production, participants were less likely to produce glottalization of phrase-medial initial vowels in L2 English than in first language (L1) Polish. Perception studies employing word monitoring and word counting tasks found that glottalization of word-initial vowels had a negligible impact on the processing of L2 word boundaries. Taken together, these experiments suggest that B2-level learners are relatively successful in acquiring word-boundary linking processes that are for the most part absent from L1 Polish, and challenge the notion of an L2 ‘Word Integrity’ constraint. The cross-language interactions observed in these experiments are compatible with the claim that the realization of word-initial vowels is governed by a representational parameter, which may be derived in the Onset Prominence framework.

High-speed, high-precision focal length measurement using double-hole mask and advanced image sensor software

2018 ◽  
Vol 74 ◽  
pp. 239-244
Author(s):  
Binh Xuan Cao ◽  
Phuong Le Hoang ◽  
Sanghoon Ahn ◽  
Jeng-o Kim ◽  
Heeshin Kang ◽  
...  
Keyword(s):  
High Precision ◽  
High Speed ◽  
Focal Length ◽  
Image Sensor ◽  
Length Measurement

A CMOS Image Sensor with a Novel Passive Pixel Array and High Precision Current Amplifier for a Compact Digital X-ray Detector

2020 ◽  
Vol 10 (11) ◽  
pp. 2745-2753
Author(s):  
Jimin Cheon ◽  
Dongmyung Lee ◽  
Hojong Choi
Keyword(s):  
High Precision ◽  
Dynamic Range ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Total Power ◽  
Cmos Process ◽  
Current Amplifier ◽  
X Ray ◽  
Total Power Consumption ◽  
Pixel Array

An active pixel sensor (APS) in a digital X-ray detector is the dominant circuitry for a CMOS image sensor (CIS) despite its lower fill factor (FF) compared to that of a passive pixel sensor (PPS). Although the PPS provides higher FF, its overall signal-to-noise ratio (SNR) is lower than that of the APS. The required high resolution and small focal plane can be achieved by reducing the number of transistors and contacts per pixel. We proposed a novel passive pixel array and a high precision current amplifier to improve the dynamic range (DR) without minimizing the sensitivity for diagnostic compact digital X-ray detector applications. The PPS can be an alternative to improve the FF. However, size reduction of the feedback capacitor causes degradation of SNR performance. This paper proposes a novel PPS based on readout and amplification circuits with a high precision current amplifier to minimize performance degradation. The expected result was attained with a 0.35-μm CMOS process parameter with power supply voltage of 3.3 V. The proposed PPS has a saturation signal of 1.5 V, dynamic range of 63.5 dB, and total power consumption of 13.47 mW. Therefore, the proposed PPS readout circuit improves the dynamic range without sacrificing the sensitivity.

scholarly journals High-Precision Detection of Defects of Tire Texture Through X-ray Imaging Based on Local Inverse Difference Moment Features

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2524 ◽  
Author(s):  
Guo Zhao ◽  
Shiyin Qin
Keyword(s):  
High Precision ◽  
Defect Detection ◽  
Detection Algorithm ◽  
Image Sensor ◽  
Production Quality ◽  
Background Suppression ◽  
Texture Image ◽  
X Ray ◽  
Feature Map ◽  
Detection Of Defects

Automatic defect detection is an important and challenging issue in the tire industrial quality control. As is well known, the production quality of tire is directly related to the vehicle running safety and passenger security. However, it is difficult to inspect the inner structure of tire on the surface. This paper proposes a high-precision detection of defects of tire texture image obtained by X-ray image sensor for tire non-destructive inspection. In this paper, the feature distribution generated by local inverse difference moment (LIDM) features is proposed to be an effective representation of tire X-ray texture image. Further, the defect feature map (DFM) may be constructed by computing the Hausdorff distance between the LIDM feature distributions of original tire image and each sliding image patch. Moreover, DFM may be enhanced to improve the robustness of defect detection algorithm by a background suppression. Finally, an effective defect detection algorithm is proposed to achieve the pixel-level detection of defects with high precision over the enhanced DFM. In addition, the defect detection algorithm is not only robust to the noise in the background, but also has a more powerful capability of handling different shapes of defects. To validate the performance of our proposed method, two kinds of experiments about the defect feature map and defect detection are conducted to demonstrate its good performance. Moreover, a series of comparative analyses demonstrate that the proposed algorithm can accurately detect the defects and outperforms other algorithms in terms of various quantitative metrics.

scholarly journals More On the Voicing of English Obstruents: Voicing Retention vs. Voicing Loss

2012 ◽  
Vol 10 (2) ◽  
pp. 183-199 ◽  
Author(s):  
Wiktor Gonet ◽  
Radosław Święciński
Keyword(s):  
Knowledge Base ◽  
English Word ◽  
The Other ◽  
General Tendency ◽  
Word Boundaries

In Gonet (2010), one of the present authors found out that English word-final phonologically voiced obstruents in the voicing-favouring environment exhibit asymmetrical, if not erratic, behaviour in that voicing in plosives is most often retained while in fricatives voicing retention concerns only about 1/3 of the cases, with the other possibilities (partial and complete devoicing) occurring in almost equal proportions. The present study is an attempt at exploring the intricacies of devoicing in English to examine to what extent the general tendency towards obstruent devoicing is overridden by voicing retention triggered by adjacent voiced segments both within words and across word boundaries. This study is based on a relatively large knowledge base obtained from recordings of spontaneous R. P. pronunciation.

scholarly journals When too many vowels impede language processing: An eye-tracking study of Danish-learning children

2019 ◽  
Author(s):  
Fabio Trecca ◽  
Dorthe Bleses ◽  
Anders Højen ◽  
Thomas O. Madsen ◽  
Morten H. Christiansen
Keyword(s):  
Language Acquisition ◽  
Eye Tracking ◽  
Real Time ◽  
Language Processing ◽  
Speech Processing ◽  
Word Segmentation ◽  
Word Boundary ◽  
Early Language ◽  
Acquisition Process ◽  
Word Boundaries

Research has suggested that Danish-learning children lag behind in early language acquisition. The phenomenon has been attributed to the opaque phonetic structure of Danish, which features an unusually large number of non-consonantal sounds (i.e., vowels and semivowels/glides). The large amount of vocalic sounds in speech is thought to provide fewer cues to word segmentation and to make language processing harder, thus hindering the acquisition process. In this study, we explored whether the presence of vocalic sounds at word boundaries impedes real-time speech processing in 24-month-old Danish-learning children, compared to word boundaries that are marked by consonantal sounds. Using eye-tracking, we tested children’s real-time comprehension of known consonant-initial and vowel-initial words, when presented in either a consonant-final carrier phrase or in a vowel-final carrier phrase, thus resulting in the four boundary types C#C, C#V, V#C, and V#V. Our results showed that the presence of vocalic sounds around a word boundary—especially before—impedes processing of Danish child-directed sentences.

Sign in / Sign up

Export Citation Format

Share Document