Search

In this paper, we present a novel simulation technique for generating high-quality images of any predefined resolution. This method can be used to synthesize sonar scans of size equivalent to those collected during a full-length mission, with across-track resolutions of any chosen magnitude. In essence, our model extends generative adversarial network (GAN)-based architecture into a conditional recursive setting that facilitates the continuity of the generated images. The data produced are continuous and realistically looking and can also be generated at least two times faster than the real speed of acquisition for the sonars with higher resolutions, such as EdgeTech. The seabed topography can be fully controlled by the user. The visual assessment tests demonstrate that humans cannot distinguish the simulated images from real ones. Moreover, experimental results suggest that, in the absence of real data, the autonomous recognition systems can benefit greatly from training with the synthetic data, produced by the double-recursive double-discriminator GANs (R2D2-GANs).

Darba autora vārds, uzvārds: Jūlija Jegorova Darba nosaukums: 5-6 gadīgu bērnu valodas prasmju apguves veicināšana bilingvālās mācības pirmsskolā Kvalifikācijas darba mērķis: izpētīt 5-6 gadīgu bērnu valodas prasmju apguves veicināšanu bilingvālās mācības pirmsskolā un pārbaudīt metodiskos paņēmienus 5-6 gadīgu mazākumtautību bērnu latviešu valodas apguves sekmēšanai. Pētījuma jautājums: kādi metodiskie paņēmieni palīdz efektīvi un produktīvi apgūt latviešu valodu bilingvālajā izglītībā 5-6 gadīgiem bērniem? Pētījuma satura apraksts: Kvalifikācijas darbs sastāv no trijām nodaļām. Pirmajā nodaļā tiek analizēti bilingvālās izglītības pamatmodeļi, aplūkotas otrās valodas apguves īpatnības pirmsskolā un to problemātika. Otrajā nodaļā tiek apkopota informācija par faktoriem, kuri ietekmē valodas un runas attīstību 5-6 gadus veciem bērniem. Tiek izpētīta un analizēta zinātniskā literatūra par bilingvālo izglītību, balstoties uz kuru tiek atlasītas, sistematizētas un analizētas mācību metodes un metodiskie paņēmieni sekmīgai latviešu valodas apguvei mazākumtautību bērnu pirmsskolas izglītības procesā. Trešajā nodaļā praksē tiek pielietotas mācību metodes un metodiskie paņēmieni latviešu valodas apguvei, kas bija aprakstīti kvalifikācijas darba otrajā daļā. Praktiskajā darbā ar bērniem tiek fiksēti runas attīstības rādītāji latviešu valodā pētījuma sākumā un pētījuma beigās, apkopota un analizēta informācija par pētījuma gaitu un tā rezultātiem. Secinājumos izcelti pamatprincipi sekmīgai latviešu valodas apguvei bilingvālajā izglītībā. Kvalifikācijas darba apjoms: 44.lpp., ietverot 3 tabulas, 3 attēlus, 6 pielikumus. Kvalifikācijas darbā tika izmantoti 40 literatūras avoti. Atslēgas vārdi: latviešu valodas аpguve, bilingvāla izglītība, pirmsskolas izglītība, valodas attīstība., Name, surname of the author of the qualification paper: Julija Jegorova. The title of the qualification paper: fostering the acquisition of language skills of children aged 5-6 years in bilingual pre-school education. The aim of the qualification paper: to explore fostering the acquisition of language skills of children aged 5-6 years in bilingual pre-school education and test methodological techniques for facilitation of Latvian language learning by children aged 5-6 years. Question of the qualification paper: what methodological techniques help to learn Latvian language effectively and efficiently by children aged 5-6 years in bilingual pre-school education? Description of the qualification paper content: The qualification paper consists of three parts. In the first part basic models of bilingual education are analysed and peculiarities with problematic of learning of the second language in the pre-school are examined. The second part summarizes information on the factors that influence the development of language and speech skills for children aged of 5-6 years. In this part, on the basis of explored and analysed scientific literature about bilingual education, learning methods and methodological techniques are selected, systemized and analysed for effective learning of Latvian language in pre-school educational process for minorities. In the third part learning methods and methodological techniques for learning Latvian language, that were described in the second part of the qualification paper, are used in practice. In the practical work with children, the indicators of speech development in Latvian language are recorded at the beginning and at the end of the research, information about the course of the research and its results is summarized and analysed. The conclusions highlight key principles for successful learning of Latvian language in bilingual education. The volume of the qualification paper: 44 pages including 3 tables, 3 figures and 6 annexes. In the qualification paper 40 literary sources were used. Key words: learning of Latvian language, bilingual education, pre-primary education, language development

Šajā laika periodā pasaules un arī Latvijas iedzīvotāji bieži saskaras ar stresu. Daudzi cilvēki meklē produktus, kuru sastāvā ir augu izcelsmes vielas. Dažu zāļu un daudzu uztura bagātinātāju sastāvā ir iekļauti ārstniecības augu ekstrakti, kuru darbība vērsta uz stresa radīto sajūtu mazināšanu. Bakalaura darba mērķis ir noskaidrot Latvijas iedzīvotāju viedokli un izpratni par ārstniecības augiem, kuru ekstrakti lietojami stresa un trauksmes mazināšanai. Rezultāti liecina, ka cilvēki ar stresa izraisītiem traucējumiem šajā laika periodā meklē alternatīvus pašārstēšanās līdzekļus. Nomierinošo preparātu lietošana, kuru sastāvā ir ārstniecības augu ekstrakti, stresa un trauksmes mazināšanai ir diezgan plaša, bet nomierinošo efektu sājūt tikai daļa no respondentiem., People around the world and in Latvia, often fill stressed during current period. Many people look for products with plant ingredients. Some drugs and many dietary supplements contain extracts of medicinal plants that are aimed at relieving feelings of stress. The bachelor's thesis aims to find out the opinion and understanding of the Latvian population about the effects of a group of plant extracts for stress and anxiety relief on the human body and health. The results show that people with stress-caused disorders seek alternatives of self-treatment during this period. The use of sedative preparations with plant extracts for stress and anxiety reduction is widespread, but only a part of respondents perceive a sedative effect.

Bakalaura darba tēma ir “McDonald’s” lietotnes uzlabošanas iespējas”. Bakalaura darba mērķis ir izpētīt esošo “McDonald’s” mobilo lietotni, izstrādāt priekšlikumus kā uzlabot lietotni, lai vairāk pievērst uzmanību lietotnei un vēl vairāk palielināt klientu skaitu. Darbs sastāv no četrām nodaļām. Pirmajā nodaļa tiek analizēta SIA “Premier Restaurants Latvia”, uzņēmuma biznesa procesi un lietotnes ietekme uz tiem. Otrajā nodaļā tiek raksturota esošā mobilā lietotne un analizēti lietotnes statistiskie dati. Trešajā nodaļā tiek analizēta cilvēku aptauja par “McDonald’s” lietotnes uzlabošanas iespējam. Ceturtajā nodaļā tiek izvirzīti priekšlikumi “McDonald’s” mobilās lietotnes uzlabošanā. Bakalaura darba noslēguma daļā tiek sniegti secinājumi par darbā izstrādātajiem pētījumiem. Bakalaura darbs sastāv no 70 lpp, 14 grafiskiem attēliem, 5 tabulām un 1 pielikuma., Bachelor thesis topic is “Options for improving the Mcdonald's application”. Bachelor thesis aim is to explore the existing “McDonald’s” application, develop suggestions on how to improve the app, so it has more attention from clients and further it can increase the number of customers even more. Thesis consists of 4 chapters. The first chapter analyzes SIA “Premier Restaurants Latvia”, the company's business processes and the impact of the application on them. The second chapter describes the existing mobile application and analyzes the application statistics. The third chapter analyzes a survey results about how “McDonald’s” application can be improved. The fourth chapter makes suggestions on how to improve “McDonald’s” application. Bachelor thesis consists of 70 pages, 14 images, 5 tables and 1 appendix.

Bakalaura darba “Integrētā mārketinga komunikācija kā pārdošanas veicināšanas instruments. Zīmolu “BMW” un “Audi” Latvijā gadījumu salīdzinājums” pētījuma mērķis ir noskaidrot paņēmienus, ar kādiem komunikācijā tiek piesaistīta patērētāju uzmanība pārdošanas veicināšanai. Tai skaitā, tiks noskaidrots, kāda ir automašīnu zīmolu stratēģija mērķauditorijas sasniegšanai un pārdošanas veicināšanai caur integrētās mārketinga komunikācijas kanāliem. Darba teorētiskā daļa sniedz ieskatu literatūrā par integrētā mārketinga komunikāciju, tās kanāliem un mērķiem, kā arī ļauj izprast zīmola komunikācijas galvenās vadlīnijas. Trešā nodaļa atvēlēta interneta mārketingam un sociālajiem tīkliem, to pielietojumu mārketinga funkcionalitātei. Pētījumā izmantotās metodes ir strukturētas intervijas un kontentanalīze. Šāda metožu izvēle palīdzēs secināt, kādi ir zīmolu integrētās mārketinga komunikācijas paņēmieni pārdošanas veicināšanai Latvijā., The main goal of bachelor’s thesis: “Integrated marketing communication as a tool of sales promotion. Comparing brand “BMW” and “Audi” cases in Latvia,” is to find out the ways in which communication attracts the attention of consumers in sales promotion. Also, the strategy of car brands to reach the target audience and promote sales through integrated marketing communication channels will be clarified. Theoretical part provides insight in the literature about integrated marketing communication, its channels and goals, also allows to understand main guidelines in brand communication. Third chapter is allocated to internet marketing and social media and its application to provide marketing functionality. Methods that are used in research are structured interviews and content analysis. Choice of these methods are used to help to conclude what are the types of brand integrated marketing communication techniques for sales promotion in Latvia.

Cross functional companies with a complex organizational structure as for example matrix companies face with many challenges. To survive the intense competitive market environment an organization needs to have a permanent focus on business performance towards achieving targets under the stress of daily operations and dynamics. Even within one company, business units’ targets may not be aligned in terms of resources, deadlines, competencies, and needs for IT systems, including digitalization, automation and analytics supported by Big data. Moreover, the needs for information technologies for particular functions can rise conflicts for other strategic themes and projects. High pace of changes can impact negatively alignment and communication among business units. In some cases, information technologies still can be considered just a supportive function instead of being a vital leverage for business maturity. The current paper suggests IT Roadmap as leverage for business maturity growth through improving business process transparency, inventing clarity in business expectations and establishing communication among business units.

Due to the expensive nature of field data gathering, the lack of training data often limits the performance of Automatic Target Recognition (ATR) systems. This problem is often addressed with domain adaptation techniques, however the currently existing methods fail to satisfy the constraints of resource and time-limited underwater systems. We propose to address this issue via an online fine-tuning of the ATR algorithm using a novel data-selection method. Our proposed data-mining approach relies on visual similarity and outperforms the traditionally employed hard-mining methods. We present a comparative performance analysis in a wide range of simulated environments and highlight the benefits of using our method for the rapid adaptation to previously unseen environments., Accepted for publication in IEEE OCEANS2020

In this paper we present a novel simulation technique for generating high quality images of any predefined resolution. This method can be used to synthesize sonar scans of size equivalent to those collected during a full-length mission, with across track resolutions of any chosen magnitude. In essence, our model extends Generative Adversarial Networks (GANs) based architecture into a conditional recursive setting, that facilitates the continuity of the generated images. The data produced is continuous, realistically-looking, and can also be generated at least two times faster than the real speed of acquisition for the sonars with higher resolutions, such as EdgeTech. The seabed topography can be fully controlled by the user. The visual assessment tests demonstrate that humans cannot distinguish the simulated images from real. Moreover, experimental results suggest that in the absence of real data the autonomous recognition systems can benefit greatly from training with the synthetic data, produced by the R2D2-GANs., Comment: Accepted to 2020 IEEE OCEANS (Singapore)