Tiriamojo darbo objektas: Stabatiškės aikštelė. Tiriamojo darbo tikslas: išanalizuoti esamą Stabatiškės aikštelės situaciją ir parinkti galimus sausinimo sistemos techninius sprendinius. Tiriamojo darbo uždaviniai: 1. Išanalizuoti kalvotų žemių sausinimo ypatumus ir drėgmės pertekliaus priežastis; 2. Išanalizuoti Stabatiškės aikštelės gamtines sąlygas, numatyti bei parinkti tinkamas sausinimo priemones; 3. Įvertinti Stabatiškės aikštelės topografines, geologines bei hidrogeologines sąlygas; 4. Parinkti galimas sausinimo schemas ir apibūdinti atskirus jų elementus. Tiriamojo darbo metodika: tyrimams panaudoti geologinių, hidrologinių ir hidrogeologinių tyrimų duomenys, jie apibendrinti, susisteminti ir išanalizuoti. Atsižvelgiant į ilgaamžiškumo faktorių, pasiūlyti sausinimo sistemos techniniai sprendiniai. Tiriamojo darbo rezultatai: • atlikus Stabatiškės aikštelės tyrimų analizę, buvo nustatytos pagrindinės priežastys, kodėl teritorijoje toks drėgmės perteklius; • pagal turimus duomenis parinkta optimaliausia sausinimo priemonių sistema; • nustatyta jog teritorija geografiniu, geologiniu ir geotechniniu požiūriu tinkama žemo aktyvumo radioaktyviųjų atliekų saugyklos statybai; • atviri melioraciniai grioviai bei daugiasluoksnis drenažas, tinkamiausias būdas kontroliuoti perteklinį vandenį Stabatiškės aikštelėje. Išvados: Pagrindinis veiksnys lemiantis parinktą sausinimo sistemos tipą yra teritorijos paskirtis. Žinant saugyklos eksploatavimo trukmę (300 metų), reikia... [toliau žr. visą tekstą] / The subject of the research work: Stabatiske site. The aim of the study: analyze current situation of the Stabatiske site and choose drainage potential technical solutions. The specific aims of this study: 1. Analise the hilly land drainage characteristics and causes of excess moisture; 2. Analise Stabatiske site natural conditions and provide adequate drainage measures; 3. Evaluate Stabatiske site topography, geological and hydro-geological conditions; 4. Select the possible drainage schemes, and describe their individual elements. The methodology of the study: for research was using geological, hydrological and hydro-geological data which was summarized, analyzed and structured. To take account of long-lived factor was offer drainage system technical solutions. Results: • Carried out Stabatiske site research and analysis was identified the main reasons why the territory is in the excess moisture; • According to available data was choose optimal drainage system; • Established the geographic, geological and geotechnical point of view appropriate low-level radioactive waste storage facility construction; • Open reclamation ditches and multi-drainage, is the best way to control excess water in Stabatiske site. Conclusions: The main factor determining the selected type of drainage system is designed area. Knowing the storage lifetime (300 years), need for know suitable drainage complex for that period. Knowing the local water regime and soil composition, the best option to... [to full text]

At the moment social exclusion is a topical problem in a whole Europe. That’s why innovative decisions are prompted for social exclusive group of people in order to facilitate their integration process into the labour market. The stepping-stone of this work is e-advisor for choosing possibilities within social isolation environment. This e-advisor is created in accordance with artificial neural network and considering to individual person’s features give suggestions for the most suitable professions. Also in this work is presented disease diagnostic model, which is defined by artificial neural network.

Pagrindinis darbo tikslas – atlikti kelių tiesioginio sklidimo neuroninių tinklų sistemų lyginamąją analizę siekiant įvertinti jų funkcionalumą. Šiame darbe apžvelgiama: biologinio ir dirbtinio neuronų modeliai, neuroninių tinklų klasifikacija pagal jungimo konstrukciją (tiesioginio sklidimo ir rekurentiniai neuroniniai tinklai), dirbtinių neuroninių tinklų mokymo strategijos (mokymas su mokytoju, mokymas be mokytojo, hibridinis mokymas). Analizuojami pagrindiniai tiesioginio sklidimo neuroninių tinklų metodai: vienasluoksnis perceptronas, daugiasluoksnis perceptronas realizuotas „klaidos skleidimo atgal” algoritmu, radialinių bazinių funkcijų neuroninis tinklas. Buvo nagrinėjama 14 skirtingų tiesioginio sklidimo neuroninių tinklų sistemos. Programos buvo suklasifikuotos pagal kainą, tiesioginio sklidimo neuroninių tinklo mokymo metodų taikymą, galimybę vartotojui keisti parametrus prieš apmokant tinklą ir techninį programos įvertinimą. Programos buvo įvertintos dešimtbalėje vertinimo sistemoje pagal mokymo metodų įvairumą, parametrų keitimo galimybes, programos stabilumą, kokybę, bei kainos ir kokybės santykį. Aukščiausiu balu įvertinta „Matlab” programa (10 balų), o prasčiausiai – „Sharky NN” (2 balai). Detalesnei analizei pasirinktos keturios programos („Matlab“, „DTREG“, „PathFinder“, „Cortex“), kurios buvo įvertintos aukščiausiais balais, galėjo apmokyti tiesioginio sklidimo neuroninį tinklą daugiasluoksnio perceptrono metodu ir bent dvi radialinių bazinių funkcijų... [toliau žr. visą tekstą] / The main aim – to perform a comparative analysis of several feedforward neural system networks in order to identify its functionality. The work presents both: biological and artificial neural models, also classification of neural networks, according to connections’ construction (of feedforward and recurrent neural networks), studying strategies of artificial neural networks (with a trainer, without a trainer, hybrid). The main methods of feedforward neural networks: one-layer perceptron, multilayer perceptron, implemented upon “error feedback” algorithm, also a neural network of radial base functions have been considered. The work has included 14 different feedforward neural system networks, classified according its price, application of study methods of feedforward neural networks, also a customer’s possibility to change parameters before paying for the network and a technical evaluation of a program. The programs have been evaluated from 1 point to 10 points according to the following: variety of training systems, possibility to change parameters, stability, quality and ratio of price and quality. The highest evaluation has been awarded to “Matlab” (10 points), the lowest – to “Sharky NN” (2 points). Four programs (”Matlab“, “DTREG“, “PathFinder“,”Cortex“) have been selected for a detail analysis. The best evaluated programs have been able to train feedforward neural networks using multilayer perceptron method, also at least two radial base function networks. “Matlab“ and... [to full text]

In the presented master paper: Analysis of car number plate recognition, optical character recognition (OCR), OCR software, OCR devices and systems are reviewed. Image processing operators and artificial neural networks are presented. Analysis and application of image processing operators for detection of number plate is done. Experimental results of estimation of Kohonen and multilayer feedforward artificial neural network learning parameters are presented. Number plate recognition is performed by the use of multilayer feedforward artificial neural network. Model of number plate recognition system is created. Number plate recognition software works in Microsoft© Windows™ operating system. Software is written with C++ language. Experimental results of system model operation are presented.

Magistro baigiamojo darbo objektas – su maistu susijusios kultūrinės reikšmės maisto reklamose. Darbo tikslas – teoriškai nustatyti reklamoje kuriamas su maistu susijusias kultūrines reikšmes ir jas išanalizuoti remiantis semiotinio metodo instrumentarijumi. Darbo uždaviniai: aptarti semiotikos mokyklas – jų raidą, pagrindines kryptis, svarbiausius autorius, metodo instrumentarijų, atskleisti pagrindines sąvokas; pristatyti reklamą, jos raidą, pagrindinius principus ir vaidmenį šiuolaikinėje vartotojų visuomenėje, atskleisti semiotinį požiūrį į reklamą; ištirti maisto funkcijas šiuolaikinėje visuomenėje ir su maistu susijusias reikšmes skritinguose kultūros sluoksniuose; taikant semiotinį metodą, išanalizuoti, kaip maisto reklamose kuriama kultūrinė reikšmė, kokie socialiniai ir kultūriniai kodai veikia reikšmės kūrime. Išanalizavus mokslinę literatūrą, atskleista, kad semiotikos modelis yra tinkamas kultūrinių reikšmių kūrimui reklamoje tirti. Pristatant su maistu susijusias kultūrines reikšmes, analizuota sociologijos, antropologijos, kultūros studijų ir kitų mokslo sričių literatūra, o jai susisteminti panaudotas Geerto Hofstede‘o daugiasluoksnis kultūros modelis (Hofstede, 1984). Maistas atlieka diferenciacijos funkciją tarp kultūrų ir kultūros viduje – tarp jos skirtingų sluoksnių, o kai kuriose kultūrose – ir tarp individų. Šiuolaikinėje modernioje visuomenėje jis taip pat yra privačią ir viešąją erdvę, o kartu – ir moteriškąją bei vyriškąją sritį skiriantis elementas... [toliau žr. visą tekstą] / The object of this study is food-related cultural meanings in food advertising. This study attempts to theoretically establish the food-related cultural meanings that are being created via advertisements and to analyze them using the instrumentation of the semiotic method. In this study two main semiotic schools are introduced, including their development, main directions, most significant authors, the instrumentation of the method, main concepts that will be used. There has been a concept of advertising as such analyzed, also its development, main principles and the role it plays in a consumer society. The functions of food in a contemporary society and food-related meanings in different cultural layers have been investigated. It was investigated both how food advertising creates the cultural meaning and what social/cultural codes work in this process by using the semiotic method. The analyzed scientific studies show that the semiotic model is suitable for exhibiting the creation of cultural meanings in advertising. In order to examine the food-related cultural meanings, various works of sociology, anthropology, culture and other fields of science were taken into account. The findings of those works were systematized using the Geert Hofstede’s model (Hofstede, 1984). Food separates both the cultures and layers or individuals in a culture from each other. In the contemporary society, food is a marker of private and public spaces, as well as feminine and masculine fields. Food... [to full text]

Modern methods of speech synthesis are not suitable for restoration of song signals due to lack of vitality and intonation in the resulted sounds. The aim of presented work is to synthesize melismas met in Lithuanian folk songs, by applying Artificial Neural Networks. An analytical survey of rather a widespread literature is presented. First classification and comprehensive discussion of melismas are given. The theory of dynamic systems which will make the basis for studying melismas is presented and finally the relationship for modeling a melisma with nonlinear and dynamic systems is outlined. Investigation of the most widely used Linear Prediction Coding method and possibilities of its improvement. The modification of original Linear Prediction method based on dynamic LPC frame positioning is proposed. On its basis, the new melisma synthesis technique is presented. Developed flexible generalized melisma model, based on two Artificial Neural Networks – a Multilayer Perceptron and Adaline – as well as on two network training algorithms – Levenberg- Marquardt and the Least Squares error minimization – is presented. Moreover, original mathematical models of Fortis, Gruppett, Mordent and Trill are created, fit for synthesizing melismas, and their minimal sizes are proposed. The last chapter concerns experimental investigation, using over 500 melisma records, and corroborates application of the new mathematical models to melisma synthesis of one performer.

Modern methods of speech synthesis are not suitable for restoration of song signals due to lack of vitality and intonation in the resulted sounds. The aim of presented work is to synthesize melismas met in Lithuanian folk songs, by applying Artificial Neural Networks. An analytical survey of rather a widespread literature is presented. First classification and comprehensive discussion of melismas are given. The theory of dynamic systems which will make the basis for studying melismas is presented and finally the relationship for modeling a melisma with nonlinear and dynamic systems is outlined. Investigation of the most widely used Linear Prediction Coding method and possibilities of its improvement. The modification of original Linear Prediction method based on dynamic LPC frame positioning is proposed. On its basis, the new melisma synthesis technique is presented. Developed flexible generalized melisma model, based on two Artificial Neural Networks – a Multilayer Perceptron and Adaline – as well as on two network training algorithms – Levenberg- Marquardt and the Least Squares error minimization – is presented. Moreover, original mathematical models of Fortis, Gruppett, Mordent and Trill are created, fit for synthesizing melismas, and their minimal sizes are proposed. The last chapter concerns experimental investigation, using over 500 melisma records, and corroborates application of the new mathematical models to melisma synthesis of one performer.