Thesis is focused on the impact of the inside noise of the car on conditional driver safety, which is presented by reaction times on simulated stimulus. In introduction, there is a theoretical definition of the security of the vehicles, inside noise, and its methods of measurement. Practical part consists of description and realization of the measurements of the impact on the inside noise in the car on reaction time of drivers. Conclusion includes evaluations of the measurements and findings, which results from them.

No description available.

The diploma thesis deals with noise measurement. The theoretical part contains the knowledge gained by studying literature. I have described acoustics, sound and noise, noise and health and legislative contexts as well as noise reduction methods. The practical part contains information about the company and individual machinery, the results of measurements and their evaluation according to valid legislation. I have suggested appropriate measures to reduce the noise burden on operators.

This work seeks to more fully characterize how the representation of English vowels changes with increasing sound level in the frequency following response (FFR) of normal-hearing adult subjects. It further seeks to help inform the design of brain-computer interfaces (BCI) that exploit the FFR for hearing aid (HA) applications. The results of three studies are presented, followed by a theoretical examination of the potential BCI space as it relates to HA design. The first study examines how the representation of a long vowel changes with level in normal hearing subjects. The second study examines how the representation of four short vowels changes with level in normal hearing subjects. The third study utilizes machine learning techniques to automatically classify the FFRs captured in the second study. Based in-part on the findings from these three studies, potential avenues to pursue with respect to the utilization of the FFR in the automated fitting of HAs are proposed. The results of the first two studies suggest that the FFR to vowel stimuli presented at levels in the typical speech range provide robust and differentiable representations of both envelope and temporal fine structure cues present in the stimuli in both the time and frequency domains. The envelope FFR at the fundamental frequency (F0) was generally not monotonic-increasing with level increases. The growth of the harmonics of F0 in the envelope FFR were consistent indicators of level-related effects, and the harmonics related to the first and second formants were also consistent indicators of level effects. The third study indicates that common machine-learning classification algorithms are able to exploit features extracted from the FFR, both in the time and frequency domains, in order to accurately predict both vowel and level classes among responses. This has positive implications for future work regarding BCI-based approaches to HA fitting, where controlling for clarity and loudness are important considerations.

<p>Disertacija obuhvata opis osnovnih pojmova i metoda merenja iz oblasti muzičke akustike, detaljnije razrađeni teorijski model pona&scaron;anja zvučnog talasa u cevi frule i detaljnu analizu frekvencijskog spektra tonova odsviranih na jednodelnim i dvodelnim frulama, na glavi dvodelnih frula i tonova dobijenih upotrebom različitih vrsta prigu&scaron;ivača.</p> / <p>The dissertation presents a description of the Musical acoustics basic facts and<br />measuring methods , a profoundly developed theoretical model of behaviour of sound waves in sheperd&#39;s flute, and very detailed frequency spectrum analysis of musical tones played on simple Serbian flute, two-piece Serbian flute, tones played only on the had of the flute and musical tones played on the two-piece Serbian flute using different typesof mutes.</p>

For many undersea research application scenarios, instruments need to be deployed for more than one month which is the basic time interval for many phenomena. With limited power supply and memory, management strategies are crucial for the success of data collection. For acoustic recording of undersea activities, in general,either preprogrammed duty cycle is configured to log partial time series,or spectrogram of signal is derived and stored,to utilize the available memory storage efficiently.To overcome this limitation, we come up with an algorithm to classify different and store only the sound data of interest. Features like characteristic frequencies, large amplitude of selected frequencies or intensity threshold are used to identify or classify different patterns. On main limitation for this type of approaches is that the algorithm is generally range-dependent, as a result, also sound-level-dependent. This type of algorithms will be less robust to the change of the environment.One the other hand, one interesting observation is that when human beings look at the spectrogram, they will immediately tell the difference between two patterns. Even though no knowledge about the nature of the source, human beings still can discern the tiny dissimilarity and group them accordingly. This suggests that the recognition and classification can be done in spectrogram as a recognition problem. In this work, we propose to modify Principal Component Analysis by generating feature points from moment invariant and sound Level variance, to classify sounds of interest in the ocean. Among all different sound sources in the ocean, we focus on three categories of our interest, i.e., rain, ship and whale and dolphin. The sound data were recorded with the Passive Acoustic Listener developed by Nystuen, Applied Physics Lab, University of Washington. Among all the data, we manually identify twenty frames for each cases, and use them as the base training set. Feed several unknown clips for classification experiments, we suggest that both point-based feature extraction are effective ways to describe whistle vocalizations and believe that this algorithm would be useful for extracting features from noisy recordings of the callings of a wide variety of species.

Garso lygio matavimai Šiaulių mieste buvo atlikti geguţės mėnesį. Tyrimų vietos buvo pasirinktos gyvenamojoje aplinkoje prie didţiųjų prekybos centų „Akropolis“, „Tilţė“, „Bruklinas“ ir „Saulės miestas“, gyvenamojoje aplinkoje prie geleţinkelio stoties, Šiaulių reabilitacijos centro aplinkoje, prie J. Janonio gimnazijos, kuriai didţiausią triukšmą sukelia autotransportas ir šalia Jovaro progimnazijos. Palyginimui, tose pačiose vietose matavimai buvo ir savaitgalio metu. Didţiausias ekvivalentinis garso lygis išmatuotas šalia prekybos centro „Saulės miestas“. Aukštas triukšmo lygis uţfiksuotas taip pat prie J. Janonio gimnazijos.. Vidutinis triukšmo lygis šalia gyvenamųjų namų išmatuotas netoli prekybos centrų „Tilţė“, „Akropolis“, „Bruklinas“ bei Jovaro progimnazijos aplinkoje, kuriuose garso lygiai viršija leistiną ribą 1 - 4 dBA. Šiaulių reabilitacijos centro aplinkoje neleistinų viršijimų nebuvo aptikta. Savaitgalio matavimuose didţiausias ekvivalentinis garso lygis buvo išmatuotas prie prekybos centro „Saulės miestas“. Gyvenamojoje zonoje prie geleţinkelio stoties ekvivalentinis garso lygis, lyginant su autotransporto skleidţiamais lygiais viršijamas net 12 dBA. / Sound levels were measured in month of May. Research test sites were near residential areas next to shopping centres „Saulės miestas“, „Bruklinas“, „Akropolis“, „Tilţė“, also in residential area near city railway station, in Šiauliai rehabilitation centre area, nearby J.Janonis gymnasium, whereat majority of noise is caused by motor transport, and next to Jovaras progymnasium. In comparison all the measurements have been conducted also in weekend. Highest equivalent sound level was measured near J. Janonis gymnasium. Average sound levels were detected in residential areas near shopping centres „Tilţė“, „Akropolis“, „Bruklinas“ and also in Jovaras progymnasium area, in which the equivalent sound level was exceeded by 1-4 dBA respectively. The sound levels in area near Šiauliai rehabilitation centre did not exceed the limits. The results that were conducted in weekend showed that the highest equivalent sound level was measured near the shopping centre „Saulės miestas“. Utmost sound level was measured near the railway station, where equivalent sound level was exceeded by 12 dBA. Specific noise of the railway transport is the major cause for it.

The aim of this diploma paper was to characterize sound level meters by Brüel and Kjaer Company and especially to offer the description of the Type 2250 and characterization of its functions. One Type 2250 Sound Level Meter was available to the author when working on the diploma paper. This measuring instrument was used for obtaining data from measuring in several different situations. These measuring results were thereafter presented.

The diploma thesis deals with the measurement of noise from road transport. The goal of the thesis is to get acquainted with the issue of noise measurement from road traffic and the subsequent creation of noise maps. Noise measurement is carried out using Raspberry Pi.

Swedish railway network is old, it is in need for maintenance and there is an ever-increasing volume oftraffic on todays railroads. Special trackwork component has taken increased abuse, leading to a stop intrain traffic and many delays occur, especially during the winter season. The most sensitive parts of therailway network are turnout frogs and they require the most maintenance and cause delays. Therefore, TheSwedish Transport Administration is planning to investigate and introduce a new type av railwayswitches, called flange bearing technology. Flange bearing frogs and diamonds are already in use in USand there are already benefits in both reduced maintenance and increased life expectancy and possiblyreduced noise level.Therefore, this bachelor thesis is investigating flange bearing technology with an accent on sound levelmeasurement. It is studied how flange bearing frogs works and how they differ from conventional treadbearing frogs. In addition, there is a field study with sound level measurement and interviews withemployees at The Swedish Transport Administration. Furthermore, it is investigated how flange bearingtechnology is used in US. This bachelor thesis is limited to a field research with sound level measurement,interviews, and a theoretical description of railway switches. Field study is located at a flange bearingfrog, station Globen-Gullmarsplan in Stockholm. This flange bearing frog is used as a connection betweenthe tram railway and the metro railway.Flange bearing technology has a simpler design compared to conventional tread bearing frogs. This simpledesign can provide benefits by reducing vertical dynamic loads. Flange bearing means that unsupportedflangeway gap is eliminated from the running surface of the frog. For that reason, there is no speedreduction on the main track. Conventional tread bearing frogs have unsupported flangeway gap thatwheels must cross.Field study at Globen-Gullmarsplan was carried out with the help of a sound level meter and it wasperformed eight measurements at both flange bearing frog and conventional tread bearing frog. This studyshows that flange bearing frogs causes less noise than conventional tread bearing frog. Interviews showsthat The Swedish transport Administration is working to reduce noise interference from rail traffic andthat flange bearing technology can be a good solution for achieving lower noise level. However, moreresearch is required about maintenance, comfort, cost, and life expectancy of flange bearing technology.