Information and Material Flows in Project Business

Tavoitteena diplomityössä oli kuvata projektiliiketoimintaa harjoittavan yrityksen informaatio- ja materiaalivirrat toimitusprojekteissa. Selvitys haluttiin tehdä tulevia kehitysprojekteja varten. Diplomityö toteutettiin kahessa osassa: laatimalla aiheeseen liittyvä teoriakatsaus ja kartoittamalla todellinen tilanne yrityksen sisällä.Teoriaosassa kuvattiin tarkastelualue ja projektiliiketoiminnan erityispiirteitä sekä käsiteltiin tietojärjestelmiä ja materiaalivirran hallintaan liittyviä asioita. Yrityksen informaatio- ja materiaalivirtojen nykytila kartoitettiin laatimalla vuokaaviot kolmen esimerkkituotteen toimitusprojekteista. Kaaviot laadittiin yrityksen sisäisten dokumenttien ja kvalitatiivisten haastattelujen pohjalta. Kaavioiden sisältöä täydennettiin taulukoimalla kaavioissa esiintyvien dokumettien sisältöä. Työn tuloksena muodostui kuva tiedonkäsittelyn nykytilasta myynti- ja toimitusprojekteissa, pelkistetty visio tulevaisuuden tietojärjestelmien rooleista sekä ehdotuksia tulevia kehitysprojekteja varten.

Online drawings for dementia diagnose: in-air and pressure information analysis

In this paper we present experimental results comparing on-line drawings for control population (left and right hand) as well as Alzheimer disease patients. The drawings have been acquired by means of a digitizing tablet, which acquires time information angles and pressures. Experimental measures based on pressure and in-air movements appear to be significantly different for both groups, even when control population performs the tasks with the non-dominant hand.

Describing and Analyzing Information Technology through Total Quality Management and Process Management: Case Stora Enso Newsprint

Laatu on osaltaan vahvistamassa asemaansa liike-elämässä yritysten kilpaillessa kansainvälisillä markkinoilla niin hinnalla kuin laadulla. Tämä suuntaus on synnyttänyt useita laatuohjelmia, joita käytetään ahkerasti yritysten kokonais- valtaisen laatujohtamisen (TQM) toteuttamisessa. Laatujohtaminen kattaa yrityksen kaikki toiminnot ja luo vaatimuksia myös yrityksen tukitoimintojen kehittämiselle ja parantamiselle. Näihin lukeutuu myös tämän tutkimuksen kohde tietohallinto (IT). Tutkielman tavoitteena oli kuvata IT prosessin nykytila. Tutkielmassa laadittu prosessikuvaus pohjautuu prosessijohtamisen teoriaan ja kohdeyrityksen käyttämään laatupalkinto kriteeristöön. Tutkimusmenetelmänä prosessin nykytilan selvittämiseksi käytettiin teemahaastattelutta. Prosessin nykytilan ja sille asetettujen vaatimusten selvittämiseksi haastateltiin IT prosessin asiakkaita. Prosessianalyysi, tärkeimpien ala-prosessien tunnistaminen ja parannusalueiden löytäminen ovat tämän tutkielman keskeisemmät tulokset. Tutkielma painottui IT prosessin heikkouksien ja parannuskohteiden etsimiseen jatkuvan kehittämisen pohjaksi, ei niinkään prosessin radikaaliin uudistamiseen. Tutkielmassa esitellään TQM:n periaatteet, laatutyökaluja sekä prosessijohtamisen terminologia, periaatteet ja sen systemaattinen toteutus. Työ antaa myös kuvan siitä, miten TQM ja prosessijohtaminen niveltyvät yrityksen laatutyössä.

Integração RIS/PACS no Hospital das Clínicas de Ribeirão Preto: uma solução baseada em "web"

OBJETIVO: Integração dos Sistemas de Informação em Radiologia (RIS - "Radiology Information System") e de Arquivamento e Comunicação de Imagens (PACS - "Picture Archiving and Communication System") no Serviço de Radiodiagnóstico do Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo, para possibilitar a consulta remota de laudos e imagens associadas. MATERIAIS E MÉTODOS: A integração RIS/PACS implementada é feita em tempo real, no momento da consulta, utilizando tecnologias "web" e técnicas de programação para "intranet/internet". RESULTADOS: A aplicação "web" permite a consulta pela "intranet" do hospital dos laudos de exames e imagens associadas através de nome, sobrenome, número de registro hospitalar dos pacientes ou por modalidade, dentro de um determinado período. O visualizador possibilita que o usuário navegue pelas imagens, podendo realizar algumas funções básicas como "zoom", controle de brilho e contraste e visualização de imagens lado a lado. CONCLUSÃO: A integração RIS/PACS diminui o risco de inconsistências, através da redução do número de interfaces entre bases de dados com grande redundância de informação, proporcionando um ambiente de trabalho rápido e seguro para consulta de laudos radiológicos e visualização de imagens associadas.

Clustering and International Competitiveness of Information Technology Industry in the Saint Petersburg Area

The main objective of this study is to assess the potential of the information technology industry in the Saint Petersburg area to become one of the new key industries in the Russian economy. To achieve this objective, the study analyzes especially the international competitiveness of the industry and the conditions for clustering. Russia is currently heavily dependent on its natural resources, which are the main source of its recent economic growth. In order to achieve good long-term economic performance, Russia needs diversification in its well-performing industries in addition to the ones operating in the field of natural resources. The Russian government has acknowledged this and started special initiatives to promote such other industries as information technology and nanotechnology. An interesting industry that is basically less than 20 years old and fast growing in Russia, is information technology. Information technology activities and markets are mainly concentrated in Russia’s two biggest cities, Moscow and Saint Petersburg, and areas around them. The information technology industry in the Saint Petersburg area, although smaller than Moscow, is especially dynamic and is gaining increasing foreign company presence. However, the industry is not yet internationally competitive as it lacks substantial and sustainable competitive advantages. The industry is also merely a potential global information technology cluster, as it lacks the competitive edge and a wide supplier and manufacturing base and other related parts of the whole information technology value system. Alone, the industry will not become a key industry in Russia, but it will, on the other hand, have an important supporting role for the development of other industries. The information technology market in the Saint Petersburg area is already large and if more tightly integrated to Moscow, they will together form a huge and still growing market sufficient for most companies operating in Russia currently and in the future. Therefore, the potential of information technology inside Russia is immense.

Clustering and international competitiveness of information technology industry in the Saint Petersburg area

The main objective of this study is to assess the potential of the information technology industry in the Saint Petersburg area to become one of the new key industries in the Russian economy. To achieve this objective, the study analyzes especially the international competitiveness of the industry and the conditions for clustering. Russia is currently heavily dependent on its natural resources, which are the main source of its recent economic growth. In order to achieve good long-term economic performance, Russia needs diversification in its well-performing industries in addition to the ones operating in the field of natural resources. The Russian government has acknowledged this and started special initiatives to promote such other industries as information technology and nanotechnology. An interesting industry that is basically less than 20 years old and fast growing in Russia, is information technology. Information technology activities and markets are mainly concentrated in Russia’s two biggest cities, Moscow and Saint Petersburg, and areas around them. The information technology industry in the Saint Petersburg area, although smaller than Moscow, is especially dynamic and is gaining increasing foreign company presence. However, the industry is not yet internationally competitive as it lacks substantial and sustainable competitive advantages. The industry is also merely a potential global information technology cluster, as it lacks the competitive edge and a wide supplier and manufacturing base and other related parts of the whole information technology value system. Alone, the industry will not become a key industry in Russia, but it will, on the other hand, have an important supporting role for the development of other industries. The information technology market in the Saint Petersburg area is already large and if more tightly integrated to Moscow, they will together form a huge and still growing market sufficient for most companies operating in Russia currently and in the future. Therefore, the potential of information technology inside Russia is immense.

Security and Privacy in a Ubiquitous Information Screen

We expose the ubiquitous interaction between an information screen and its’ viewers mobile devices, highlights the communication vulnerabilities, suggest mitigation strategies and finally implement these strategies to secure the communication. The screen infers information preferences’ of viewers within its vicinity transparently from their mobile devices over Bluetooth. Backend processing then retrieves up-to-date versions of preferred information from content providers. Retrieved content such as sporting news, weather forecasts, advertisements, stock markets and aviation schedules, are systematically displayed on the screen. To maximise users’ benefit, experience and acceptance, the service is provided with no user interaction at the screen and securely upholding preferences privacy and viewers anonymity. Compelled by the personal nature of mobile devices, their contents privacy, preferences confidentiality, and vulnerabilities imposed by screen, the service’s security is fortified. Fortification is predominantly through efficient cryptographic algorithms inspired by elliptic curves cryptosystems, access control and anonymity mechanisms. These mechanisms are demonstrated to attain set objectives within reasonable performance.

Kernel-Based Ranking. Methods for Learning and Performance Estimation

Machine learning provides tools for automated construction of predictive models in data intensive areas of engineering and science. The family of regularized kernel methods have in the recent years become one of the mainstream approaches to machine learning, due to a number of advantages the methods share. The approach provides theoretically well-founded solutions to the problems of under- and overfitting, allows learning from structured data, and has been empirically demonstrated to yield high predictive performance on a wide range of application domains. Historically, the problems of classification and regression have gained the majority of attention in the field. In this thesis we focus on another type of learning problem, that of learning to rank. In learning to rank, the aim is from a set of past observations to learn a ranking function that can order new objects according to how well they match some underlying criterion of goodness. As an important special case of the setting, we can recover the bipartite ranking problem, corresponding to maximizing the area under the ROC curve (AUC) in binary classification. Ranking applications appear in a large variety of settings, examples encountered in this thesis include document retrieval in web search, recommender systems, information extraction and automated parsing of natural language. We consider the pairwise approach to learning to rank, where ranking models are learned by minimizing the expected probability of ranking any two randomly drawn test examples incorrectly. The development of computationally efficient kernel methods, based on this approach, has in the past proven to be challenging. Moreover, it is not clear what techniques for estimating the predictive performance of learned models are the most reliable in the ranking setting, and how the techniques can be implemented efficiently. The contributions of this thesis are as follows. First, we develop RankRLS, a computationally efficient kernel method for learning to rank, that is based on minimizing a regularized pairwise least-squares loss. In addition to training methods, we introduce a variety of algorithms for tasks such as model selection, multi-output learning, and cross-validation, based on computational shortcuts from matrix algebra. Second, we improve the fastest known training method for the linear version of the RankSVM algorithm, which is one of the most well established methods for learning to rank. Third, we study the combination of the empirical kernel map and reduced set approximation, which allows the large-scale training of kernel machines using linear solvers, and propose computationally efficient solutions to cross-validation when using the approach. Next, we explore the problem of reliable cross-validation when using AUC as a performance criterion, through an extensive simulation study. We demonstrate that the proposed leave-pair-out cross-validation approach leads to more reliable performance estimation than commonly used alternative approaches. Finally, we present a case study on applying machine learning to information extraction from biomedical literature, which combines several of the approaches considered in the thesis. The thesis is divided into two parts. Part I provides the background for the research work and summarizes the most central results, Part II consists of the five original research articles that are the main contribution of this thesis.

What are the opportunities and challenges of cloud computing technology in the healthcare information systems

This thesis discusses the opportunities and challenges of the cloud computing technology in healthcare information systems by reviewing the existing literature on cloud computing and healthcare information system and the impact of cloud computing technology to healthcare industry. The review shows that if problems related to security of data are solved then cloud computing will positively transform the healthcare institutions by giving advantage to the healthcare IT infrastructure as well as improving and giving benefit to healthcare services. Therefore, this thesis will explore the opportunities and challenges that are associated with cloud computing in the context of Finland in order to help the healthcare organizations and stakeholders to determine its direction when it decides to adopt cloud technology on their information systems.

Social media and public libraries : exploring information activities of library professionals and users

Social media has become a part of many people’s everyday lives. In the library field the adoption of social media has been widespread and discussions of the development of “Library 2.0” began at an early stage. The aim with this thesis is to study the interface between public libraries, social media, and users, focusing on information activities. The main research question is: How is the interface between public libraries and social media perceived and acted upon by its main stakeholders (library professionals and users)? The background of Library 2.0 is strongly associated with the development of the Web and social media, as well as with the public libraries and their user-centered and information technological development. The theoretical framework builds on the research within the area of Library and Information Science concerning information behavior, information practice, and information activities. Earlier research on social media and public libraries is also highlighted in this thesis. The methods survey and content analysis were applied to map the interface between social media and public libraries. A questionnaire was handed out to the users and another questionnaire was sent out to the library professionals. The results were statistically analyzed. In the content analysis public library Facebook pages were studied. All the empirical investigations were conducted in the area of Finland Proper. An integrated analysis of the results deepens the understanding of the key elements of the social media and public library context. These elements are interactivity, information activities, perceptions, and stakeholders. In this context seven information activities were distinguished: reading, seeking, creating, communicating, informing, mediating, and contributing. This thesis contributes to develop the research concerning information activities and draws a realistic picture of the challenges and opportunities in the social media and public library context. It also contributes with knowledge on library professionals and library users, and the existing differences in their perceptions of the interface between libraries and social media.

Backpacker 2.0 - Contemporary backpackers and their use of social media as an information and communication platform

Long-term independent budget travel to countries far away has become increasingly common over the last few decades, and backpacking has now entered the tourism mainstream. Nowadays, backpackers are a very important segment of the global travel market. Backpacking is a type of tourism that involves a lot of information search activities. The Internet has become a major source of information as well as a platform for tourism business transactions. It allows travelers to gain information very effortlessly and to learn about tourist destinations and products directly from other travelers in the form of electronic word-of-mouth (eWOM). Social media has penetrated and changed the backpacker market, as now modern travelers can stay connected to people at home, read online recommendations, and organize and book their trips very independently. In order to create a wider understanding on modern-day backpackers and their information search and share behavior in the Web 2.0 era, this thesis examined contemporary backpackers and their use of social media as an information and communication platform. In order to achieve this goal, three sub-objectives were identified: 1. to describe contemporary backpacker tourism 2. to examine contemporary backpackers’ travel information search and share behavior 3. to explore the impacts of new information and communications technologies and Web 2.0 on backpacker tourism The empirical data was gathered with an online survey, thus the method of analysis was mainly quantitative, and a qualitative method was used for a brief analysis of open questions. The research included both descriptive and analytical approaches, as the goal was to describe modern-day backpackers, and to examine possible interdependencies between information search and share behavior and background variables. The interdependencies were tested for statistical significance with the help of five research hypotheses. The results suggested that backpackers no longer fall under the original backpacker definitions described some decades ago. Now, they are mainly short-term travelers, whose trips resemble more those of mainstream tourists. They use communication technologies very actively, and particularly social media. Traditional information sources, mainly guide books and recommendations from friends, are of great importance to them but also eWOM sources are widely used in travel decision making. The use of each source varies according to the stage of the trip. All in all, Web 2.0 and new ICTs have transformed the backpacker tourism industry in many ways. Although the experience has become less authentic in some travelers’ eyes, the backpacker culture is still recognizable.

A platform for assessing the current state of data repositories in Korea, Japan and China

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

University Institutional Repository and its Place in the University Information Infrastructure

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

Quality of eggs sold in different commercial establishments and the study of the conditions of storage

The objective of this study was to investigate the influence of storage conditions on the physicochemical (mass, albumen height, pH, and Haugh unit) and microbiological (Salmonella spp., determination of the Total and Thermotolerant Coliforms, and Counting of the Mesophilic Aerobic Bacteria) quality of eggs. In the first experiment, a questionnaire was applied, and 33 samples of eggs were collected for the Salmonella spp analysis. In the second experiment, the eggs were collected from supermarkets, open markets, and distributors for physicochemical analysis. In the third experiment, 175 eggs were collected from the distributor, packaged in cardboard boxes lined with plastic wrapping, stored at 5 °C and 28 °C, and the physicochemical and microbiological analyses were performed at 7, 14, and 21 days of storage. In the first experiment, 100% of the samples analyzed showed no Salmonella spp. In the second experiment, it was found that the values of physicochemical parameters were in agreement with those in the literature. However, in the third experiment, the physicochemical parameter results showed statistical difference during storage and temperatures studied. Salmonella spp. were found in the samples stored at room temperature and in the refrigerated samples. Mesophilic microorganisms with values ranging from <10 CFU g- 1 (estimated) to 8.0 × 10³ CFU g- 1 and coliforms to 4 NMP.g- 1 were also found, but the presence of E. coli was not confirmed.

Forced-air, vacuum, and hydro precooling of cauliflower (Brassica oleracea L. var. botrytis cv. Freemont): Part II. Determination of quality parameters during storage

Cauliflower heads, which were precooled using four different methods including vacuum, forced-air, and high and low flow hydro precooling, were stored under controlled atmosphere and room conditions. Controlled atmosphere conditions (CA) were as follows: 1°C temperature, 90 ± 5% relative humidity, and 0:21 [(%CO2:%O2) – (0:21) control] atmosphere composition. Room conditions (RC) were: 22±1°C temperature and 55-60% humidity. Various quality parameters of the cauliflower heads were assessed during storage (days 0, 7, 14, 21, 28, and 35) under controlled atmosphere and room conditions (days 0, 5, and 10). During storage, weight loss, deterioration rate, overall sensory quality score, hardness, and colour (L, a, b, C and α) were evaluated. In the present study, the strength and quality parameters of cauliflower under CA and RC conditions were obtained. Vacuum precooling was found to be most suitable method before cauliflower was submitted to cold storage and sent to market. Furthermore, the storage of cauliflower without precooling resulted in a significant decrease in quality parameters.