scholarly journals Tampering Detection Approach of Arabic-Text Based on Contents Interrelationship

2021 ◽  
Vol 27 (2) ◽  
pp. 483-498
Author(s):  
Fahd N. Al-Wesabi ◽  
Abdelzahir Abdelmaboud ◽  
Adnan A. Zain ◽  
Mohammed M. Almazah ◽  
Ammar Zahary
Keyword(s):  
Arabic Text ◽  
Tampering Detection ◽  
Detection Approach

scholarly journals Speech Watermarking for Tampering Detection Based on Modifications to LSFs

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Xiangning Chen ◽  
Weitao Yuan ◽  
Shengbei Wang ◽  
Chao Wang ◽  
Lin Wang
Keyword(s):  
Auditory System ◽  
Digital Watermarking ◽  
Linear Prediction ◽  
Speech Signals ◽  
Quantization Index Modulation ◽  
Tampering Detection ◽  
Speech Watermarking ◽  
Dither Modulation ◽  
Detection Approach ◽  
Index Modulation

There have been serious issues concerning the protection of speech signals from malicious tampering. Digital watermarking has been paid much attention in solving this problem. This paper proposes a tampering detection approach based on speech watermarking by modifying the line spectral frequencies (LSFs). Watermarks are embedded into LSFs that derived from linear prediction (LP) analysis with dither modulation-quantization index modulation (DM-QIM). Minor modifications to LSFs introduced by quantization not only enable the watermarks to be inaudible to human auditory system but also provide the possibility of robustness against meaningful processing and fragility against tampering. We evaluated the proposed approach with objective evaluations with respect to inaudibility, robustness, and fragility. The results indicated that the proposed approach for tampering detection not only satisfied inaudibility but also provided good robustness against meaningful processing and fragility against malicious tampering.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

Taʾwīl and the Meaning of the Text in the Arabic Language: An Introduction to Understanding the Qur'an

2010 ◽  
Vol 12 (1-2) ◽  
pp. 337-314
Author(s):  
ʿAbd Allāh Muḥammad al-Shāmī
Keyword(s):  
Figurative Language ◽  
Arabic Language ◽  
Literary Text ◽  
Arabic Text ◽  
Comprehensive Understanding ◽  
Original Meaning ◽  
High Literature

The question of clarifying the meaning of a given Arabic text is a subtle one, especially as high literature texts can often be read in more than one way. Arabic is rich in figurative language and this can lead to variety in meaning, sometimes in ways that either adhere closely or diverge far from the ‘original’ meaning. In order to understand a fine literary text in Arabic, one must have a comprehensive understanding of the issue of taʾwīl, and the concept that multiplicity of meaning does not necessarily lead to contradiction. This article surveys the opinions of various literary critics and scholars of balāgha on this issue with a brief discussion of the concepts of tafsīr and sharḥ, which sometimes overlap with taʾwīl.

The Qur'an, Faith and the Impact of the Feminist Interpretative Movement on the Arabic Text and its Legacy

2004 ◽  
Vol 6 (2) ◽  
pp. 170-183
Author(s):  
Hassan al-Shafīe
Keyword(s):  
Arabic Text ◽  
Historical Events ◽  
Religious Texts ◽  
Islamic World ◽  
The Impact ◽  
Intellectual Movement ◽  
Qur'anic Interpretation

The present study discusses the cultural and intellectual movement, now on the point of prevalence in the contemporary Islamic world, which adopts the Western ‘hermeneutical method’ and applies it to the Qur'an in particular, and Islamic religious texts in general. The author shows this movement's complete disregard for the established principles of tafsīr, the traditional Arab-Islamic rules of Qur'anic interpretation and the related Prophetic aḥādīth as preserved in the authenticated Sunna. The author argues that the ‘hermeneutical method’ starts from the preconceived notion that the Islamic heritage is male-centred and biased against women, both theoretically and practically, and, on this basis, proposes that the time has come for an intellectual break with this premise and the re-interpretation of the Qur'an and faith in the light of Western Christian hermeneutics. This paper proposes that this method fails to take historical events and the civilisational Islamic experience into account.

Associations between collectivism and perception of social threat: a signal detection approach

2019 ◽  
Author(s):  
Tuong-Van Vu ◽  
Catrin Finkenauer ◽  
Lydia Krabbendam
Keyword(s):  
Signal Detection ◽  
Response Bias ◽  
Social Adjustment ◽  
Emotional Expressions ◽  
Social Threat ◽  
Threat Detection ◽  
Perceptual Sensitivity ◽  
Detection Approach ◽  
Self Construal ◽  
The Individual

Collectivistic orientation, which entails interdependent self-construal and concern for interpersonal harmony and social adjustment, has been suggested to be associated with detecting emotional expressions that signal social threat than individualistic orientation, which entails independent self-construal. The present research tested if this detection is a result of enhanced perceptual sensitivity or of response bias. We used country as proxy of individualism and collectivism (Country IC), measured IC of individuals with a questionnaire (Individual IC) and manipulated IC with culture priming (Situational IC). Dutch participants in the Netherlands (n = 143) and Chinese participants in China (n = 151) performed a social threat detection task where they had to categorize ambiguous facial expressions as “angry” or “not angry”. As the stimuli varied in degrees of scowling and frequency of presentation, we were able to measure the participants' perceptual sensitivity and response bias following the principles of the Signal Detection Theory. On the Country IC level, the results indicated that individualism-representative Dutch participants had higher perceptual sensitivity than collectivism-representative Chinese participants; whereas, Chinese participants were more biased towards categorizing a scowling face as “angry” than the Dutch (i.e. stronger liberal bias). In both groups, collectivism on the Individual IC was associated with a bias towards recognizing a scowling face as “not angry” (i.e. stronger conservative bias). Culture priming (Situational IC) affected neither perceptual sensitivity nor response bias. Our data suggested that cultural differences were in the form of behavioral tendency and IC entails multiple constructs linked to different outcomes in social threat detection.

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