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An overview of selected pseudo-stereophonic techniques
Michele Perrone, 2020, undergraduate thesis

Abstract: Stereophony is a method of sound recording and sound reproduction that uses two separate audio channels, two for each process. In contrast, monophony uses only one audio channel. Stereophonic sound is thus affine, to some degree, to human binaural hearing because it can reproduce some of the ambience and localization cues that were present during the recording session. For this reason, stereophonic music recordings are generally preferred over their monophonic counterparts. To make the sound of monophonic recordings more natural, many pseudo-stereophonic techniques have been developed; these techniques process monophonic sound into stereophonic sound. In this thesis, we review in detail five such techniques, of which we implemented and tested two. Our results show that pseudo-stereophony, when applied appropriately, can create more natural nuances in monophonic recordings and can reduce listening fatigue.
Keywords: Pseudo-stereophony, audio processing, music
Published: 14.12.2020; Views: 348; Downloads: 41
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Signal processor for optical fiber sensors based on MEMS Fabry-Perot interferometer
Nikola Uremović, 2020, master's thesis

Abstract: In the master thesis, we have created an interrogation system for measuring the change of the optical path in the Fabry-Perot interferometer caused by the strain of the surface at which it was attached to. The change of strain can be calculated via a change in optical path length which is visible as a shift in phase angle. The system will be used as a system for measuring strain, although it can be used for measuring various physical parameters that can cause a change in optical path length, such as pressure, force, temperature, etc. Initially, the theoretical background of the system and project components are represented and explained, following the building process of the electronic and optical part of the project. Lastly, the working principle and programming algorithms of a system are presented and explained. Measurement results are shown at the end, as well as the conclusion that is drawn from the thesis.
Keywords: optical fibers, sensors, interferometer, signal processing
Published: 04.11.2020; Views: 165; Downloads: 40
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Estimating the size of plants by using two parallel views
Barbara Videc, Jurij Rakun, 2017, original scientific article

Abstract: This paper presents a method of estimating the size of plants by using two parallel views of the scene, taken by a common digital camera. The approach relays on the principle of similar triangles with the following constraints: the resolution of the camera is known; the object is always in parallel to the camera sensor and the intermediate distance between the two concessive images is available. The approach was first calibrated and tested using one artificial object in a controlled environment. After that real examples were taken from agriculture, where we measured the distance and the size of a vine plant, apple and pear tree. By comparing the calculated values to measured values, we concluded that the average absolute error in distance was 0.11 m or around 3.7 %, and the absolute error in high was 0.09 m or 4.6 %.
Keywords: digital image processing, size, digital camera, pixels, similar triangles
Published: 10.10.2018; Views: 564; Downloads: 233
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Determining the grain size distribution of granular soils using image analysis
Nihat Dipova, 2017, original scientific article

Abstract: Image-processing technology includes storing the images of objects in a computer and processing them with the computer for a specified purpose. Image analysis is the numerical expression of the images of objects by means of mimicking the functioning of the human visual system and the generation of numerical data for calculations that will be made later. Digital image analysis provides the capability for rapid measurement, which can be made in near-real time, for numerous engineering parameters of materials. Recently, image analysis has been used in geotechnical engineering practices. Grain size distribution and grain shape are the most fundamental properties used to interpret the origin and behaviour of soils. Mechanical sieving has some limitations, e.g., it does not measure the axial dimension of a particle, particle shape is not taken into consideration, and especially for elongated and flat particles a sieve analysis will not yield a reliable measure. In this study the grain size distribution of sands has been determined following image-analysis techniques, using simple apparatus, non-professional cameras and open-code software. The sample is put on a transparent plate that is illuminated with a white backlight. The digital images were acquired with a CCD DSLR camera. The segmentation of the particles is achieved by image thresholding, binary coding and particle labeling. The geometrical measurements of each particle are obtained using an automated pixel-counting technique. Local contacts or limited overlaps were overcome using a watershed split. The same sample was tested by traditional sieve analysis. An image-analysis-based grain size distribution has been compared with a sieve-analysis distribution. The results show that the grain size distribution of the image-based analysis and the sieve analysis are in good agreement.
Keywords: image analysis, image processing, grain size, sand
Published: 18.06.2018; Views: 535; Downloads: 64
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Processing methodology and dialectological aspects of the Dictionary of Moravian and Silesian anoikonyms (minor place names)
Libuše Čižmárová, 2010, original scientific article

Abstract: This paper presents the routines used by Brno linguists working on the Dictionary of Moravian and Silesian Anoikonyms (preparing collective entries introduced by abstract headwords). The output will be primarily a multifunctional interactive digital dictionary. Since most of the material has been recorded in dialect form, the authors must be experienced in dialectology. The computer program offers the possibility to generate maps enabling comparison with dialectological maps of the Czech Linguistic Atlas.
Keywords: anoikonyma, onomastics, toponomastics, dictionaries, digitization, computer data processing, Moravia, Silesia, Czech Republic, dialectology, geolinguistics
Published: 05.02.2018; Views: 443; Downloads: 281
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Dialect materials in the Estonian etymological dictionary
Iris Metsmägi, 2010, original scientific article

Abstract: Estonian Etymological Dictionary being compiled at the Institute of the Estonian Language. A limited number of dialect words will be included in the headword list of the dictionary. Dialect data may be vital for etymologization as well. In the case of genuine words and older loanwords, the archaic phonological traits that have survived in dialects are essential; in the case of more recent loanwords, the dialectal variants show different degrees of adaptation. Sometimes the areal distribution of a word may prove a valuable cue to its original background. Etymologization may also be based on the dialectal meaning of a word. A specific group consists of dialect words adopted into standard usage in a different sense as technical terms.
Keywords: Estonian, etymological dictionaries, computer data processing, dialectology, linguistic geography
Published: 02.02.2018; Views: 596; Downloads: 261
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Computerisation of a corpus of personal correspondence spanning the 19th and 20th centuries
Maria-Pilar Perea, 2010, original scientific article

Abstract: The article presents the contents and the technical resources of the CD-ROM “Epistolari d’Antoni M. Alcover (1880–1931)” [Antoni M. Alcover’s correspondence], published in 2008, which contains the complete transcription of the Majorcan dialectologist’s personal correspondence between 1880 and 1931. It shows how the computer program can help to study the linguistic variation throughout the 3,529,159 words of the corpus of correspondence. Among many other features, we pay special attention to the presence of dialect features and to the linguistic interference between Catalan and Castilian at the beginning of the 20th century.
Keywords: Catalan, Castilian, correspondence, language variations, dialectology, computer data processing, linguistics
Published: 02.02.2018; Views: 465; Downloads: 59
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Technological, marketing and complementary competencies driving innovative performance of Slovenian manufacturing firms
Tanja Rajkovič, Janez Prašnikar, 2009, original scientific article

Abstract: The paper discusses innovative performance of firms and underlying competencies, namely technological, marketing and complementary. Competencies are regarded as networks of various capabilities and other firm assets and can be used for cross-industry comparisons. The study is based on a survey carried out among 50 established Slovenian manufacturing companies addressing competencies which they employ in their 65 distinct product lines. Three distinct segments of firms are established based on innovative performance indicators. Used are techniques of multivariate statistics, including cluster analysis and analysis of variance. The results imply that the most innovative firms simultaneously develop technological, marketing and complementary competencies. The implications of our findings are valuable to the firms aligning their competencies with their strategy, as well as to policy makers in technology following countries.
Keywords: Slovenia, processing industry, technological development, innovations, marketing
Published: 22.01.2018; Views: 504; Downloads: 282
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Application of fuzzy AHP approach to selection of organizational structure with consideration to contextual dimensions
Alireza Aslani, Feryal Aslani, 2012, original scientific article

Abstract: The literature of organizational structure design is relatively rich along with conceptual and complex patterns. This complexity arising from the number of elements and numerous relations in addition to the nature of variables. Thereby, the lack of operational decision-making models is felt to propose adequate structural designs in practice. In this article, the researchers employ a fuzzy multi attribute decision making model (FMADM) to select the most suitable organizational structure based on expert’s judgments and by deploying contextual dimensions of the organization. Since the organizational changes especially in the structural levels are along with resistances among involved staffs, the implementation of this model is a supportive tool in addition to help the managers to make a qualified decision and change.
Keywords: organizational structure designing, business process reengineering, development management, integration, fuzzy ahpimage analysis, probabilistic modeling, signal processing, license plate recognition
Published: 28.11.2017; Views: 697; Downloads: 278
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An overview of image analysis algorithms for license plate recognition
Khalid Aboura, Rami Al-Hmouz, 2017, original scientific article

Abstract: Background and purpose: We explore the problem of License Plate Recognition (LPR) to highlight a number of algorithms that can be used in image analysis problems. In management support systems using image object recognition, the intelligence resides in the statistical algorithms that can be used in various LPR steps. We describe a number of solutions, from the initial thresholding step to localization and recognition of image elements. The objective of this paper is to present a number of probabilistic approaches in LPR steps, then combine these approaches together in one system. Most LPR approaches used deterministic models that are sensitive to many uncontrolled issues like illumination, distance of vehicles from camera, processing noise etc. The essence of our approaches resides in the statistical algorithms that can accurately localize and recognize license plate. Design/Methodology/Approach: We introduce simple and inexpensive methods to solve relatively important problems, using probabilistic approaches. In these approaches, we describe a number of statistical solutions, from the initial thresholding step to localization and recognition of image elements. In the localization step, we use frequency plate signals from the images which we analyze through the Discrete Fourier Transform. Also, a probabilistic model is adopted in the recognition of plate characters. Finally, we show how to combine results from bilingual license plates like Saudi Arabia plates. Results: The algorithms provide the effectiveness for an ever-prevalent form of vehicles, building and properties management. The result shows the advantage of using the probabilistic approached in all LPR steps. The averaged classification rates when using local dataset reached 79.13%. Conclusion: An improvement of recognition rate can be achieved when there are two source of information especially of license plates that have two independent texts.
Keywords: image analysis, probabilistic modeling, signal processing, license plate recognition
Published: 28.11.2017; Views: 636; Downloads: 276
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