HYBRID ARTIFICIAL NEURAL NETWORK APPLIEDTO MODELING SCFE OF BASIL AND ROSEMARY OILS

This work presents the results of a Hybrid Neural Network (HNN) technique as applied to modeling SCFE curves obtained from two Brazilian vegetable matrices. A series Hybrid Neural Network was employed to estimate the parameters of the phenomenological model. A small set of SCFE data of each vegetable was used to generate an extended data set, sufficient to train the network. Afterwards, other sets of experimental data, not used in the network training, were used to validate the present approach. The series HNN correlates well the experimental data and it is shown that the predictions accomplished with this technique may be promising for SCFE purposes.

Visuell läsning som kompetensområde : en pedagogisk studie i visuell grammatik inom multimodal digital kommunikation

Avhandlingens primära syfte är att upprätta en förståelse för visuell kompetens som en del av visuell litteracitet inom multimodal digital kommunikation i undervisningen. Avhandlingens sekundära syfte är att ur ett pedagogiskt perspektiv lyfta fram visuell litteracitet och visuell kompetens i multimodala diskussioner kring digital pedagogik. Forskningen är kvalitativ och har både teoretisk och empirisk förankring. Den empiriska studien har en fenomenologisk metodansats. Visuell kompetens innebär att visuell läsning behärskas, vilket förutsätter fungerande vokabulär, kritiskt förhållningssätt och kunskaper i läsning och tolkning och användning av bilder. Den visuella grammatikteorin innefattar bildens syntax och semantik. Bilden är ett kontextbundet fenomen, där kontexten berör sociala aspekter, bildens fysiska omgivning samt innehåll. Det empiriska resultatet är att visuell inverkan i undervisningen präglar förberedelser och lektionsmål, berör visuell kommunikationskompetens, inkluderar visuella element som verktyg, strävar involvera flera element i inlärningen och strävar efter att undvika passiva demonstrationer som undervisningsmetod. Bilder behövs som kommunikativt stöd, som inlärningsmetod och som en del i aktivitetspedagogisk undervisning. Genom stöd från läraren kan barnet nå visuell litteracitet som ett kompetensmål, vilket kan ske genom multimodal undervisning.

The role of network competence and international business competence in multinational corporations: Subsidiary perspective

On-going process of globalization makes companies all over the world to go beyond the national markets and internationalize. Organizational form of multinational corporation (MNC) has capabilities for establishing the affiliate companies in several countries. Thus, the relocation of resources occurs and particularly, the cross-border transfer of knowledge which possesses the competitive advantage. However, differences in countries` business environments and cultures may constrain this capability. The research aim of this thesis is to investigate the role of subsidiary’s network competence (ability to build and manage the relationships with other local business units) and international business competence in relation to the benefits that MNC receives from a subsidiary. Additionally, subsidiary’s business adaptation, partnerships and knowledge transfer mechanism with parent company and external partners are investigated. This research, conducted in the Finnish-Russian context, consists of theoretical and empirical parts. The qualitative approach in the form of multiple case studies is employed. The empirical data incorporated primary and secondary data in the form of interviews collected in 2013 and 2015 years. Interviews were collected from four Finnish case companies in Saint-Petersburg and Kaluga region and five Russian partner companies. Results are drawn from two cases from Saint-Petersburg. The abductive research approach for the results analysis is adopted. The results indicate that both competencies lead to the subsidiary’s local embeddedness in the form of mutual business activities with local business partners and product adaptation for the local market needs. In addition to the monetary benefits in form of payments or turnover share, local embeddedness brings the knowledge of the local environment which is utilized by an MNC in the long-term planning. Another found tacit benefit is the access to the national market. This is strategically useful benefit not only for parent MNC but also for the subsidiary’s partners, i.e. international suppliers.

The transforming network of a foreign company operating in Mongolia. Case: A Finnish firm in Mongolia

In the globalising business environment ever fewer market areas remain unknown. Mongolia is yet only considered as an isolated strip between two power states. The purpose of this study is to put Mongolia on the map of academic business research. This is done by describing the transforming network of a foreign company operating in Mongolia. The objective of the study is approached through a case study, which presents the transformation of a Finnish company operating in Mongolia. This study aims at providing understanding on how the foreign case company observes the transformations of its network. The transformation within the case company is reflected to the transformations that occur in the Mongolian business environment. This study was conducted through a qualitative, intrinsic case study approach. The empirical data was gathered by using the method of network pictures. The network pictures were completed with the assistance of themed interviews. In order to be able to analyse the transformation within a network, three different time periods were observed: the past period around 2000, the present around 2014, and the estimated future around 2020. The data was collected from four executives positioned either in Finland, Russia or Mongolia. The respondents have a long experience within the case company, they hold managerial position, and therefore were able to offer valuable data for this study. The analytical framework used to analyse the collected data was built on the industrial network model, the ARA (actors-resources-activities)-model. The study shows that the changing business environment of Mongolia was utilised by the case company. In order to better meet the transforming customer wishes, the case company transformed from being a retailer to being a manufacturer. The case company was able to become a pioneer in the market. Thus, the case company has undergone similar kind of rapid transformation as the economy of Mongolia in entirety. This study shows that the general nature of the ARA-model makes it usable for new research contexts. The initial ARA-model offers a way to identify the dimensions of a network and a mean to understand these dimensions. The ARA-model can be applied to different contexts and to all time dimensions, past, present and future. The managerial recommendations offered in this study are directed towards the managers that plan to start operations in Mongolia. While this study is the first of its kind, it offers a good starting point for the future research on the change of Mongolian business networks. Valuable information could, for example, be obtained from a comparative study between the case company of this study and a multinational mining company operating in Mongolia.

Ozônio e ultra-som: processos alternativos para o tratamento do café despolpado

Há um crescente interesse em tecnologias que melhorem a qualidade dos alimentos, bem como o aspecto segurança alimentar. Após a água, o café é a bebida mais consumida no planeta, existindo uma demanda crescente por tipos especiais em alguns países importadores, como o café despolpado. Este tipo é obtido pela remoção da mucilagem, ao se submeter o café à fermentação, cujo processo varia com o clima e a microbiota associada, entre outros fatores, podendo levar ao detrimento da qualidade do produto e da saúde do consumidor. Assim, faz-se necessário investigar novas tecnologias que possam auxiliar na obtenção de produtos com melhor padronização, qualidade e que ofereçam maior segurança alimentar. O ozônio e o ultra-som são tecnologias usadas em diversas áreas, com grande flexibilidade e resultados promissores na obtenção e no tratamento de uma infinidade de alimentos. São conhecidas as potentes características oxidantes e microbicidas de ambos, mas seus mecanismos ainda não são bem esclarecidos quando utilizados em tecidos vivos. Seus efeitos sobre os vários parâmetros de qualidade devem ser estudados, compreendidos e ajustados, antes de serem utilizados em larga escala na indústria. No presente trabalho, foi aplicado o ozônio ou o ultra-som como tratamentos prévios à fermentação do café, demonstrando sua eficácia na melhoria da segurança alimentar do café despolpado, sem alteração perceptível da qualidade da bebida.

Optimizing the Performance of a Heat Exchanger Network

This research is the continuation and a joint work with a master thesis that has been done in this department recently by Hemamali Chathurangani Yashika Jayathunga. The mathematical system of the equations in the designed Heat Exchanger Network synthesis has been extended by adding a number of equipment; such as heat exchangers, mixers and dividers. The solutions of the system is obtained and the optimal setting of the valves (Each divider contains a valve) is calculated by introducing grid-based optimization. Finding the best position of the valves will lead to maximization of the transferred heat in the hot stream and minimization of the pressure drop in the cold stream. The aim of the following thesis will be achieved by practicing the cost optimization to model an optimized network.

An artificial neural network model for prediction of quality characteristics of apples during convective dehydration

In this study, the effects of hot-air drying conditions on color, water holding capacity, and total phenolic content of dried apple were investigated using artificial neural network as an intelligent modeling system. After that, a genetic algorithm was used to optimize the drying conditions. Apples were dried at different temperatures (40, 60, and 80 °C) and at three air flow-rates (0.5, 1, and 1.5 m/s). Applying the leave-one-out cross validation methodology, simulated and experimental data were in good agreement presenting an error < 2.4 %. Quality index optimal values were found at 62.9 °C and 1.0 m/s using genetic algorithm.