The Diploma’s thesis deals with a construction design of a service platform for a horizontal boring machine. Input parameters are cabin dimensions, length and velocity of lift and shift. In the first part of the thesis is design arrangement solved. The lift is solved by a rack and a pinion. By the lift is drive design and gear calculation performed. Shift of the service platform is done by toothed belt. Air distribution with pneumatic parts choice is included in this thesis. Next part is divided to supporting frame and cabin design. It is made by welded profiles, in which a stress-strength analysis is performed. The last part of the thesis is divided to linear guide design. A part of this thesis is a drawing of an assembly facility and a movie about this service platform in a real service.

Eine umfängliche Berücksichtigung der qualitativen Zusammensetzung von beschreibenden Artefakten im Internet der Dienste über dafür ausgelegte Dienstplattformen steigert die Erlebnisqualität für die Benutzer der angebotenen Dienstleistungen. In dieser Dissertation sind die existierenden Verfahren zur Erkennung, Propagierung und Verbesserung von Qualitatsmetriken in dienstorientierten Architekturen in Hinblick auf diese gesteigerten Anforderungen systematisch in Verfahren eingebunden. Die Arbeit liefert zwei wissenschaftliche Beiträge. Der erste ist beinhaltet ein Konzept für inkrementelle Qualiẗatsverbesserungen von Diensten durch Nutzung von Laufzeitmechanismen zur dynamischen Beschreibung und Bewertung nichtfunktionaler Eigenschaften. Der zweite liefert eine Definition eines abstrakten Zusammenspiels von Architekturmustern und Prozessen zur vertraglich abgesicherten Gewahrleistung von Dienstgüteeigenschaften in Dienstlandschaften in Form einer Referenzarchitektur. / A holistic consideration of the qualitative composition of descriptive artefacts in the Internet of Services through specifically designed service platforms increases the quality of experience for the users of the offered services. In this dissertation, the existing methods for the recognition, propagation and improvement of quality metrics in service-oriented architectures are systematically included in methods related to these increased requirements. The work delivers two scientific contributions. The first one encompasses a concept for the incremental improvement of quality of services via the use of runtime mechanisms for the dynamic description and rating of non-functional properties. The second one carries a definition of an abstract interplay of architecture patterns and processes for the contractually safeguarded guarantee of quality of service properties in service ecosystems in the form of a reference architecture.

Estudos de expressão gênica geralmente envolvem a realização de processos de análise integrados para a obtenção de respostas biológicas de interesse. A realização destes processos frequentemente requer o uso combinado de uma série de ferramentas de software. No entanto, o processo de integração manual de ferramentas pode ser demorado e propenso a erros devido ao crescente número de ferramentas e formatos de dados disponíveis no domínio. De modo a automatizar o processo de integração, algumas abordagens têm sido propostas tanto para a adaptação das ferramentas de análise existentes como serviços web semânticos, quanto para o desenvolvimento de ambientes de suporte à integração (composição) de serviços web semânticos. Embora estas abordagens representem avanços, nenhuma solução adequada para o desenvolvimento e composição de serviços foi especificamente definida para o domínio de genômica funcional. Neste contexto, o principal objetivo deste projeto foi investigar uma solução completa para o desenvolvimento e composição de serviços web semânticos para a análise de expressão gênica. Como parte da solução proposta, definimos uma metodologia integrada para a implementação de serviços web semânticos criados a partir de ferramentas de software existentes e para a anotação semântica destes serviços. Nossa metodologia fornece diretrizes concretas para o desenvolvimento sistemático de serviços, considerando também os principais aspectos técnicos associados ao processo de desenvolvimento. Esta metodologia foi aplicada a um conjunto representativo de serviços que fornecem suporte às principais atividades de análise realizadas em diferentes tipos de dados de expressão gênica. De forma complementar, definimos uma solução completa para a composição semântica de serviços no domínio de análise de expressão gênica. A solução proposta foi implementada em uma plataforma de suporte semi-automático à composição de serviços web semânticos, chamada SemanticSCo. Esta plataforma fornece suporte flexível a todas as atividades envolvidas no processo de composição de serviços, incluindo a criação, publicação, requisição, descoberta, seleção, composição e execução de serviços. Além disto, a plataforma SemanticSCo foi projetada para prover suporte adequado a diferentes tipos de usuários, incluindo biologistas e bioinformatas. Neste sentido, a plataforma fornece aos usuários um alto nível de abstração para a definição de seus processos de análise, permitindo que os mesmos se concentrem mais nas questões de pesquisa biológicas do que nos aspectos subjacentes do processo de composição. Adicionalmente, a plataforma SemanticSCo suporta a definição e incorporação não apenas de serviços simples, definidos em termos de uma única operação, mas também de serviços complexos, definidos em termos de um conjunto de condições que restringem a ordem de invocação de suas operações. Finalmente, de modo a avaliar a plataforma de suporte desenvolvida, definimos diferentes cenários de composição para a análise (integrada) de dados de expressão gênica. O uso da plataforma SemanticSCo facilitou a definição destes cenários, permitindo assim a reprodução dos resultados obtidos a partir de diferentes estudos de expressão gênica previamente documentados na literatura / Gene expression studies usually involve the creation of integrated analysis processes for obtaining responses for a biological question. The creation of such processes often require the combined use of a number of software tools. However, the manual integration of tools can be cumbersome and error prone due to the increasing number of tools and data formats available in the domain. In order to automate the integration process, some approaches have been proposed for the adaptation of existing analysis tools as semantic web services as well as for the development of software environments to support the integration (composition) of semantic web services. Although these approaches present advances, to the best of our knowledge, no suitable solution has been proposed for the development and composition of web services in the functional genomics domain. In this context, this project aimed at investigating a complete solution for the development and composition of semantic web services to support gene expression analysis. As part of the proposed solution, we have defined an integrated methodology for the implementation of semantic web services created from existing software tools and the semantic annotation of such services. Our methodology provides concrete guidelines for the systematic development of services, also taking into account the main technical aspects associated with the development process. This methodology has been applied in the development of a representative set of services that support the main analysis activities performed on different types of gene expression data. Complementary to our methodology, we have defined a complete solution for the semantic composition of web services in the gene expression analysis domain. The proposed solution has been implemented in a software platform to support the semi-automatic composition of semantic web services, named SemanticSCo. This platform provides flexible support to all activities involved in the service composition process including service creation, publication, request, discovery, selection, composition and execution. Additionally, the SemanticSCo platform has been designed to support different types of users, including biologists and bioinformaticians. In this sense, the platform provides users with a high level of abstraction in the definition of their analysis processes, thus allowing them to focus more on biological research issues rather than on underlying details of the composition process. In addition, the SemanticSCo platform supports not only the definition and incorporation of (simple) services defined in terms of a single operation, but also (complex) services defined in terms of a set of conditions that constrain the order in which service operations should be invoked. Finally, in order to evaluate the developed support platform, we have defined a number of composition scenarios for the (integrated) analysis of gene expression data. The use of the SemanticSCo platform has facilitated the definition of these scenarios, thus allowing the reproduction of the results obtained from different gene expression studies previously documented in the literature.

The automotive domain is changing. On the way to more convenient, safe, and efficient vehicles, the role of electronic controllers and particularly software has increased significantly for many years, and vehicles have become software-intensive systems. Furthermore, vehicles are connected to the Internet to enable Advanced Driver Assistance Systems and enhanced In-Vehicle Infotainment functionalities. This widens the automotive software and system landscape beyond the physical vehicle boundaries to presently include as well external backend servers in the cloud. Moreover, the connectivity facilitates new kinds of distributed functionalities, making the vehicle a part of an Intelligent Transportation System (ITS) and thus an important example for a future Internet of Things (IoT). Manufacturers, however, are confronted with the challenging task of integrating these ever-increasing range of functionalities with heterogeneous or even contradictory requirements into a homogenous overall system. This requires new software platforms and architectural approaches. In this regard, the connectivity to fixed side backend systems not only introduces additional challenges, but also enables new approaches for addressing them. The vehicle-to-backend approaches currently emerging are dominated by proprietary solutions, which is in clear contradiction to the requirements of ITS scenarios which call for interoperability within the broad scope of vehicles and manufacturers. Therefore, this research aims at the development and propagation of a new concept of a universal distributed Automotive Service Delivery Platform (ASDP), as enabler for future automotive functionalities, not limited to ITS applications. Since Machine-to-Machine communication (M2M) is considered as a primary building block for the IoT, emergent standards such as the oneM2M service platform are selected as the initial architectural hypothesis for the realisation of an ASDP. Accordingly, this project describes a oneM2M-based ASDP as a reference configuration of the oneM2M service platform for automotive environments. In the research, the general applicability of the oneM2M service platform for the proposed ASDP is shown. However, the research also identifies shortcomings of the current oneM2M platform with respect to the capabilities needed for efficient communication and data exchange policies. It is pointed out that, for example, distributed traffic efficiency or vehicle maintenance functionalities are not efficiently treated by the standard. This may also have negative privacy impacts. Following this analysis, this research proposes novel enhancements to the oneM2M service platform, such as application-data-dependent criteria for data exchange and policy aggregation. The feasibility and advancements of the newly proposed approach are evaluated by means of proof-of-concept implementation and experiments with selected automotive scenarios. The results show the benefits of the proposed enhancements for a oneM2M-based ASDP, without neglecting to indicate their advantages for other domains of the oneM2M landscape where they could be applied as well.

The rapid increase in car ownership has caused rigorous issues for people living in the major cities in China, which is observe from traffic pressure, the inconvenience of city travelling, and air pollution. While the fast development of digital service platforms based on the Internet provides an alternative approach to touch the problems, leading a researchable phenomenon, online car-sharing service in China. This paper strives to explore the impact of car sharing on millennial sustainability attitudes by using the daily service on apps to ‘drive less, share more’. The paper is conducted using mixed research methods in Suzhou, China. Principally, the researchers interviewed ten car- sharing consumers during shared ride. To ensure the creditability and reliability, the paper collected 326 online survey responses from local car-sharing platforms as comparable data. The results show that most millennials agree car-sharing service makes their traffic modes more convenient, and taking shared ride more compared to self-driving has a significant influence on social and environmental issues in cities. Also, some respondents present willingness or already take actions on giving up car ownerships. However, the result also emphasises the fundamental reasons for millennials to participate in car-sharing service, which is personalised service and reasonable price. The paper closes with three outcomes, sharing economy as ‘Development’, digital service as ‘Innovation’, and sustainability as ‘The future’. They not only enrich the current literature research between Millennials and sharing economy, but also promote further strategies for car-sharing companies with empirical data.

Estudos de expressão gênica geralmente envolvem a realização de processos de análise integrados para a obtenção de respostas biológicas de interesse. A realização destes processos frequentemente requer o uso combinado de uma série de ferramentas de software. No entanto, o processo de integração manual de ferramentas pode ser demorado e propenso a erros devido ao crescente número de ferramentas e formatos de dados disponíveis no domínio. De modo a automatizar o processo de integração, algumas abordagens têm sido propostas tanto para a adaptação das ferramentas de análise existentes como serviços web semânticos, quanto para o desenvolvimento de ambientes de suporte à integração (composição) de serviços web semânticos. Embora estas abordagens representem avanços, nenhuma solução adequada para o desenvolvimento e composição de serviços foi especificamente definida para o domínio de genômica funcional. Neste contexto, o principal objetivo deste projeto foi investigar uma solução completa para o desenvolvimento e composição de serviços web semânticos para a análise de expressão gênica. Como parte da solução proposta, definimos uma metodologia integrada para a implementação de serviços web semânticos criados a partir de ferramentas de software existentes e para a anotação semântica destes serviços. Nossa metodologia fornece diretrizes concretas para o desenvolvimento sistemático de serviços, considerando também os principais aspectos técnicos associados ao processo de desenvolvimento. Esta metodologia foi aplicada a um conjunto representativo de serviços que fornecem suporte às principais atividades de análise realizadas em diferentes tipos de dados de expressão gênica. De forma complementar, definimos uma solução completa para a composição semântica de serviços no domínio de análise de expressão gênica. A solução proposta foi implementada em uma plataforma de suporte semi-automático à composição de serviços web semânticos, chamada SemanticSCo. Esta plataforma fornece suporte flexível a todas as atividades envolvidas no processo de composição de serviços, incluindo a criação, publicação, requisição, descoberta, seleção, composição e execução de serviços. Além disto, a plataforma SemanticSCo foi projetada para prover suporte adequado a diferentes tipos de usuários, incluindo biologistas e bioinformatas. Neste sentido, a plataforma fornece aos usuários um alto nível de abstração para a definição de seus processos de análise, permitindo que os mesmos se concentrem mais nas questões de pesquisa biológicas do que nos aspectos subjacentes do processo de composição. Adicionalmente, a plataforma SemanticSCo suporta a definição e incorporação não apenas de serviços simples, definidos em termos de uma única operação, mas também de serviços complexos, definidos em termos de um conjunto de condições que restringem a ordem de invocação de suas operações. Finalmente, de modo a avaliar a plataforma de suporte desenvolvida, definimos diferentes cenários de composição para a análise (integrada) de dados de expressão gênica. O uso da plataforma SemanticSCo facilitou a definição destes cenários, permitindo assim a reprodução dos resultados obtidos a partir de diferentes estudos de expressão gênica previamente documentados na literatura / Gene expression studies usually involve the creation of integrated analysis processes for obtaining responses for a biological question. The creation of such processes often require the combined use of a number of software tools. However, the manual integration of tools can be cumbersome and error prone due to the increasing number of tools and data formats available in the domain. In order to automate the integration process, some approaches have been proposed for the adaptation of existing analysis tools as semantic web services as well as for the development of software environments to support the integration (composition) of semantic web services. Although these approaches present advances, to the best of our knowledge, no suitable solution has been proposed for the development and composition of web services in the functional genomics domain. In this context, this project aimed at investigating a complete solution for the development and composition of semantic web services to support gene expression analysis. As part of the proposed solution, we have defined an integrated methodology for the implementation of semantic web services created from existing software tools and the semantic annotation of such services. Our methodology provides concrete guidelines for the systematic development of services, also taking into account the main technical aspects associated with the development process. This methodology has been applied in the development of a representative set of services that support the main analysis activities performed on different types of gene expression data. Complementary to our methodology, we have defined a complete solution for the semantic composition of web services in the gene expression analysis domain. The proposed solution has been implemented in a software platform to support the semi-automatic composition of semantic web services, named SemanticSCo. This platform provides flexible support to all activities involved in the service composition process including service creation, publication, request, discovery, selection, composition and execution. Additionally, the SemanticSCo platform has been designed to support different types of users, including biologists and bioinformaticians. In this sense, the platform provides users with a high level of abstraction in the definition of their analysis processes, thus allowing them to focus more on biological research issues rather than on underlying details of the composition process. In addition, the SemanticSCo platform supports not only the definition and incorporation of (simple) services defined in terms of a single operation, but also (complex) services defined in terms of a set of conditions that constrain the order in which service operations should be invoked. Finally, in order to evaluate the developed support platform, we have defined a number of composition scenarios for the (integrated) analysis of gene expression data. The use of the SemanticSCo platform has facilitated the definition of these scenarios, thus allowing the reproduction of the results obtained from different gene expression studies previously documented in the literature.

台灣觀光外匯的成長力度高，外國旅客來台灣包車旅遊的需求漸增，因應而生的包車平台興起，本研究期望針對既有個案探討包車平台如何去設定付費方與被捕貼方，並且提供其他同質性平台商業模式設計更多元的思考方式。 透過黃勇及周學春提出之平台商業模式研究之框架及陳威如及余卓軒提出的平台補貼策略之考慮因素，以質性研究方式，選取UTAXI、台灣小旅行、DingTAXI叮叮包車三個包車平台個案進行訪談與分析。 UTAXI媒合“旅客-司機”，致力“您的專屬司機”，選擇司機作為付費方，自由行旅客為被補貼方，定價較市場平均價格高；台灣小旅行媒合“旅客-司機”，致力“體驗台灣在地感動，訴說土地故事”，選擇自由行旅客作為付費方，計程車學院協會司機為被補貼方，定價為市場平均價格；DingTAXI叮叮包車媒合“旅客-車隊“，致力”解決自由行旅客交通困擾“，選擇自由行旅客作為付費方，合作車行、車隊為被補貼方。 本研究得知個案其各自商業模式之創建、如何選擇付費方與被補貼方以及包車平台之定價策略，也可從個案中得知，思考角度與立場不同，運用補貼模式的準則得出之結果也截然不同，提供未來同質性平台於發展時多元的思考方式及依據。 / From 2007 to 2015, visitors to Taiwan increased from 3.71 million to more than 10 million. As a result, foreign exchange earnings from tourism surged by 2.6 times, from NT$17.12 billion (US$521.95 million) to an estimated NT$44.50 billion (US$1.36 billion). These results and reviews demonstrate that Taiwan is becoming a major destination for travelers worldwide. Car carter service become a popular way for visitors to explore Taiwan on their own, therefore more and more online car carter service platforms are being set up. Platform pricing model is not set up by user charge alone, how users interact on the platform is also considered. Platform controller attract users who can cause positive cross-side network effect by offering them better price so that they can attract users who are willing to pay the fee. This research depends on two-side market theory to explain how online car carter platforms attract users to enter their platforms, design interaction mechanism and set rules to allow users to use platforms easily. Depending on different point of views, every online car carter service platform has its own design. Therefore, this research also depends on the business model and the eco-system on platform theory to analyze car carter service platform. After understanding how platforms design interaction mechanism, platform pricing model is then discussed. Every platform has its own pricing model, because of different design. This research analyzes platform pricing model by subsidy rules from previous studies. By analyzing three online car carter service platform cases, this research concludes that platforms have different interacting mechanisms because of website design purpose and user dating purpose. This research demonstrates which subsidy rules are used on online dating platform and how these platform create their own eco-system to maintain the platform.

服務產業已在近代成為了世界各個國家的重要產業，台灣尤其，因此推動服務經濟一直是政府主要的推展政策之一。政大服務科學研究中心（SSRC）及資管所AeSL實驗室將服務科學的知識運用在實務上的服務創新，為本國較弱勢的觀光產業中小型商家提升競爭力，進而發展了一個以旅遊意象為引擎的全新網路服務平台，uVoyage。 此平台的目的為幫助弱勢的中小型觀光商家將自己的產品及服務自行行銷，推廣到全國大眾。本經營計畫的最高宗旨為提供一個互動性平台，讓觀光業中小型商家與旅客一起共創價值，達到永續經營。專案在初始挑選了宜蘭縣枕頭山休閒農業區作為開發平台的實驗標的，並於去年就已經完成POC（Proof of Concept）。在持續開發平台的同時，本研究所著重的方向為研討uVoyage平台的實際經營模式，並將其營運計畫做完善的提案。此研究在進行的過程也定時與枕山村休閒農業區的商家辦說明會蒐集意見回饋，讓平台的功能更能夠符合商家的需求。 此論文延續平台的基礎，持續進行完整性的開發，同時將組織管理、財務、營運及獲利模式做完整個規劃。本研究最終目標為完成最後階段的POS（Proof of Service），並提出實際可行的經營計畫。促進台灣地方特色發展、幫助觀光中小企業為uVoyage的最高使命。

本篇論文將針對線上遊戲產業之雲端運算服務平台之發展進行研究與探討。從線上遊戲產業發展的現況與趨勢中，看到線上遊戲仍是市場的主流，更是付費機制的成熟產品，但也看到新興遊戲如SNS網頁遊戲、App遊戲的衝擊下，線上遊戲已不再是大型遊戲或是只有大型公司才有能力開發製作的產品，而中小型團隊也開始蜂擁加入開發的行列。 在線上遊戲產品開發流程與產業價值鏈的文獻探討中，看到線上遊戲的開發與營運價值單元，且這些價值單元都是非常符合雲端運算的功能與架構，並再透過詳細解析產品開發流程與營運價值鏈的每個環節中去對應雲端運算架構與功能，分析雲端運算對線上遊戲之開發端及消費端所提昇之價值與效益面，以及線上遊戲之雲端運算服務平台的可能功能與服務模式。 線上遊戲因為具備文件、物件資料量龐大、即時運算需求極高、中小型開發團隊須降低軟硬體開發成本需求殷切以及需要共用之伺服器軟硬體環境，還有備援且不允許因維運、修改、除錯等而可能停機或當機之風險產生等特性，使得在這一波雲端運算的潮流與趨勢中，選擇提供線上遊戲開發與營運之雲端運算平台服務，應是一項可預期的發展機會。 本研究最後透過一家已推出線上遊戲雲端運算服務平台的個案研究，再呼應前面線上遊戲與雲端運算功能與架構的關聯框架及分析，最後提出對個案公司應以大量即時運算為核心能力，提供跨業服務、以核心技術發展技轉與合作營運模式、結合HTML5或Yahoo的YUI等技術，全力搶攻新興連線遊戲市場、研發雲端Server端引擎產品等建議外，也對線上遊戲之雲端運算服務平台提出可發展SaaS、PaaS、IaaS等各別專業及可具備彈性且可發展成機動組合的混合型雲端服務模式之結論與建議等。 / This report is the research and investigation of the cloud computing platform development in online game industry. We find that online game is still the mainstream as well as a developed product under the paid mechanisms through the condition and trend of online game industry. However, because of the impact of SNS website game and App game, the online game no longer just a hug online game or develop by big companies, instead the medium and small groups can develop the online game as well now. We find out that there are some unites in the literature investigated the development process and industrial value chain of online fit in with the function of cloud computing and its framework. In addition, we will do the detailed analysis of production developing process and operation value to correspond to the function and framework of cloud computing, analyze the value and benefit the cloud computer can do to improve the beginning and consumption-side of online game and its possible function and service mode for online game. The online game needs huge quantity of data in document and object, so the need of instant cloud computing is high. For that reason, when develop the software and hardware, the medium and small groups need to reduce the cost. Moreover, they need the server that can use in both new software and hardware, the backup, un-interruptible power supply and the feature of operating normally while doing the maintenance, modification, debug, etc. So, in the trend of current cloud computing, one of the predictable development opportunity is have the cloud computing platform service that can help to develop and operate online game. In the end, the study will take the case study of cloud computing platform that have released online game as example, correspond to the relevant framework and analysis from the previous online game and the function and framework of cloud computing and finally give the suggests and conclusion to the case company, which is taking great amount of instant cloud computing as core ability, provide cross-field services, use core technology development transformation and cooperation service mode, The use of HTML5 or Yahoo's YUI technology put in all effort to earn the new market of online game and research and develop the cloud computer server engine. Other than that, we also bring up the individual professional service that can develop in the cloud computing platform of online game such as SaaS, PaaS, IaaS and the suggestions and conclusions relate to the flexible and assembling-based complex cloud service.

Title: Impact of covid 19 Pandemic situation on customers purchasing Behavior: Adoption of online services platforms. Level: Final assignment for Master degree in Business Administration (MBA) Authors: Sheratun Jannat and Sajjad Aslam Toor Supervisor: Dr. Olivia Kang Examiner: Professor Akmal Hyder Date: 2021- January  Aim: The study aims to find the factors that impact consumer purchasing behavior on the Covid-19 pandemic and adaptation of online services platform. Methodology: A qualitative study was applied with the semi-structured online interview conducted with nine respondents from Stockholm and Gävle of Sweden. The collected primary data were transcribed, compared, and thematically analyzed with the literature reviews.  Findings and Conclusion: We conclude that Covid-19 impacts consumer purchase behavior. Besides, consumers adopted online services to purchase different items as per their needs. We have also found that various factors impact consumer online purchase behavior. Furthermore, trustworthiness and transparency is the essential factor that has implications on consumer online purchase behavior.  Contributions of the Thesis: This study suggests that online purchase behavior during Covid-19 significantly impacts the consumer. Besides, consumers face various impacts on online purchase such as product, price and quality, personality and characteristics, psychological, cultural and social, and trustworthiness and transparency. It is recommended for the managers to determine the impacts and develop strategies to maintain online business effectively.  Suggestion for future research: We suggest future research on a similar topic using a larger sample size. We also recommend a comparative study with two or more countries on a similar case to determine the differences and results. Focusing on different issues or services with a larger audience might be done for future research. Keywords: Covid-19 pandemic, Consumer purchase behavior, Online purchase behavior, Adoption of online service platform, and Factors impacting online purchase behavior.