Sound and Vibration最新文献_第5页

1) Listening Awakes 1)倾听唤醒

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Sound and Vibration Pub Date : 2020-12-31 DOI: 10.1515/9780822374824-002

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3) Sound and Time 3)声音和时间

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Sound and Vibration Pub Date : 2020-12-31 DOI: 10.1515/9780822374824-004

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2) The Ear 2)耳朵

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Sound and Vibration Pub Date : 2020-12-31 DOI: 10.1515/9780822374824-003

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6) The Sound That You Cause: Ergo-Audition 6)你发出的声音:因此，试镜

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Sound and Vibration Pub Date : 2020-12-31 DOI: 10.1515/9780822374824-007

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8) Sound and What It Causes: 8)声音及其成因:

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Sound and Vibration Pub Date : 2020-12-31 DOI: 10.1515/9780822374824-009

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Position and Velocity Time Delay for Suppression Vibrations of a HybridRayleigh-Van der Pol-Duffing Oscillator 位置和速度时滞抑制混合雷-范德波尔-达夫芬振荡器振动

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Sound and Vibration Pub Date : 2020-01-01 DOI: 10.32604/sv.2020.08469

Y. A. Amer, A. T. El-Sayed, M. El-Salam

引用次数: 3

Assessment of Trafﬁc Noise Pollution in Burla Town, India; An Inclusive Annoyance Study 印度Burla镇交通噪声污染评价包容性烦恼研究

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Sound and Vibration Pub Date : 2020-01-01 DOI: 10.32604/sv.2020.08586

A. Sahu, M. Pradhan, C. R. Mohanty, P. Pradhan

{"title":"Assessment of Trafﬁc Noise Pollution in Burla Town, India; An Inclusive Annoyance Study","authors":"A. Sahu, M. Pradhan, C. R. Mohanty, P. Pradhan","doi":"10.32604/sv.2020.08586","DOIUrl":"https://doi.org/10.32604/sv.2020.08586","url":null,"abstract":"Noise pollution is one of the major public health problems in urban areas throughout the world. Noise is unwanted sound which produces undesirable problems in day to day life of human being (e.g., physiological and psychological problems). Rapid increase of the industrialization, urbanization, infrastructure, volume of motor vehicles, and increase in the road networks brought noise pollution to the highest level of disaster in a current situation. In urban areas, road traffic noise plays commanding role among all noise sources and affects the exposed inhabitants. The present work is done to evaluate and assess the traffic noise and its effects in Burla town. Burla, Vidyanagari of Odisha, is an emerging town in India, as it hosts national level of teaching and research institutions like IIM Sambalpur, a medical college-cum-hospital (VIMSAR), a technical university (VSSUT) and Sambalpur University. In last two decade, the road traffic volume has been increased and is facing severe noise pollution to its inhabitants. Noise pollution assessment was made at different locations of the town. This study unveiled the dismal state of noise pollution in the town. Noise contour maps were drawn to visualize the noise level at the traffic and its surroundings. The numbers of hearing impaired patients in different hospitals of the locality are increasing. That shows grim picture of the situation. Regression equations were established taking noise levels with percentage of highly annoyed people during study indicates strong correlation.","PeriodicalId":49496,"journal":{"name":"Sound and Vibration","volume":"28 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72942170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Weighing and Prioritizing Noise Control Methods Using the Delphi Techniqueand the Technique for Order of Preference by Similarity to Ideal Solution(TOPSIS) in an Iranian Tire Manufacturing Factory 利用德尔菲法和TOPSIS法对伊朗某轮胎制造厂噪声控制方法进行加权和优选

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Sound and Vibration Pub Date : 2020-01-01 DOI: 10.32604/SV.2020.08651

M. Ghotbi-Ravandi, D. Hassanvand, S. Zare, Milad Beytollahi

{"title":"Weighing and Prioritizing Noise Control Methods Using the Delphi Technique\u0000and the Technique for Order of Preference by Similarity to Ideal Solution\u0000(TOPSIS) in an Iranian Tire Manufacturing Factory","authors":"M. Ghotbi-Ravandi, D. Hassanvand, S. Zare, Milad Beytollahi","doi":"10.32604/SV.2020.08651","DOIUrl":"https://doi.org/10.32604/SV.2020.08651","url":null,"abstract":"Undoubtedly, noise has become a major hazardous issue in today’s industrial world, with a lot of people suffering from exposure to excessive noise in their work environments. This study was conducted to weigh and prioritize noise control methods in an Iranian tire manufacturing complex in Iran. The Delphi method and the Technique for Order Preference by Similarity and an Ideal Solution (TOPSIS) were utilized for this purpose. This cross-sectional, descriptive study was conducted in the baking hall of an Iranian tire manufacturing factory in 2016. To weigh and prioritize noise control methods, Analytic Hierarchy Process (AHP) and TOPSIS were applied. In total, 4 criteria and 8 alternatives were examined. An AHP and TOPSIS questionnaire was then designed to prioritize noise control methods in the light of the objectives, criteria, and alternatives. Then, the collected data were fed into Expert Choise. V. 11 and Excel and data analysis was carried out using TOPSIS. The results of data analysis indicated that the inconsistency rate in all the cases was smaller than 10%, hence the consistency of the responses was verified. According to the TOPSIS results and experts’ opinions about the criteria, implementation and maintenance cost (with a weight of 0.481) and method effectiveness and efficiency (with a weight of 0.046) had the highest and lowest priority respectively. Based on the weights TOPSIS, the appropriate methods for controlling noise in tire manufacturing are designing and manufacturing silencer, requiring people in charge to quickly fix the leaks and change baking press washers on time.","PeriodicalId":49496,"journal":{"name":"Sound and Vibration","volume":"207 0 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89760551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Implementation of a Biometric Interface in Voice Controlled Wheelchairs 语音控制轮椅中生物识别接口的实现

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Sound and Vibration Pub Date : 2020-01-01 DOI: 10.32604/sv.2020.08665

Lamia Bouaﬁf, N. Ellouze

{"title":"Implementation of a Biometric Interface in Voice Controlled Wheelchairs","authors":"Lamia Bouaﬁf, N. Ellouze","doi":"10.32604/sv.2020.08665","DOIUrl":"https://doi.org/10.32604/sv.2020.08665","url":null,"abstract":": In order to assist physically handicapped persons in their movements, we developed an embedded isolated word speech recognition system (ASR) applied to voice control of smart wheelchairs. However, in spite of the existence in the industrial market of several kinds of electric wheelchairs, the problem remains the need to manually control this device by hand via joystick; which lim-its their use especially by people with severe disabilities. Thus, a signi ﬁ cant number of disabled people cannot use a standard electric wheelchair or drive it with dif ﬁ culty. The proposed solution is to use the voice to control and drive the wheelchair instead of classical joysticks. The intelligent chair is equipped with an obstacle detection system consisting of ultrasonic sensors, a moving navigation algorithm and a speech acquisition and recognition module for voice control embedded in a DSP card. The ASR architecture consists of two main modules. The ﬁ rst one is the speech parameterization module (features extraction) and the second module is the classi ﬁ er which identi ﬁ es the speech and generates the control word to motors power unit. The training and recognition phases are based on Hidden Markov Models (HMM), K-means, Baum-Welch and Viterbi algorithms. The database consists of 39 isolated speaker words (13 words pronounced 3 times under different environments and conditions). The simulations are tested under Matlab environment and the real-time implementation is performed by C language with code composer studio embedded in a TMS 320 C6416 DSP kit. The results and experiments obtained gave promising recognition ratio and accuracy around 99% in clean environment. However, the system accuracy decreases considerably in noisy environments, especially for SNR values below 5 dB (in street: 78%, in factory: 52%).","PeriodicalId":49496,"journal":{"name":"Sound and Vibration","volume":"105 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86431978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Cost Optimized Non-Contacting Experimental Modal Analysis Using aSmartphone 基于智能手机的成本优化非接触实验模态分析

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Sound and Vibration Pub Date : 2020-01-01 DOI: 10.32604/sv.2020.011513

J. Hallal, M. Hammoud, M. Fakih, A. Hallal

{"title":"Cost Optimized Non-Contacting Experimental Modal Analysis Using a\u0000Smartphone","authors":"J. Hallal, M. Hammoud, M. Fakih, A. Hallal","doi":"10.32604/sv.2020.011513","DOIUrl":"https://doi.org/10.32604/sv.2020.011513","url":null,"abstract":"The vibrations behavior analysis is an essential step in the mechanical design process. Several methods such as analytical modelling, numerical analysis and experimental measurements can be used for this purpose. However, the numerical or analytical models should be validated through experimental measurements, usually expensive. This paper introduces an inexpensive smartphone as an accurate, non-intrusive vibrations’ behavior measurement device. An experimental measurement procedure based on the video processing method is presented. This procedure allows the measurement of the natural frequencies and the mode shapes of a vibrating structure, simply by using a smartphone built-in camera. The experimental results are compared to those obtained using an accurate analytical model, where the natural frequencies error is less than 2.7% and the modal assurance criterion is higher than 0.89. In order to highlight the obtained results, a comparison has been done using a high quality and high frame per second (fps) camera-based measurement of material properties. Since the highest recovered natural frequency and its associated mode shape depend on the frame per second rate of the recorded video, this procedure has great potential in low frequencies problems such as for big structures like buildings and bridges. This validated technique re-introduces the personal smartphone as an accurate inexpensive non-contacting vibration measurement tool.","PeriodicalId":49496,"journal":{"name":"Sound and Vibration","volume":"8 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89680211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1