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Bremang, Asante. "Information systems design to support demand-driven supply chains." Thesis, University of Liverpool, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.419012.
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Ліпчанська, Оксана Валентинівна. "Методи обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/41022.
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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019.
У дисертації вирішена задача розробки методів обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива. На підставі вивчення сучасних методів і засобів обробки і передачі даних на залізничному транспорті встановлено, що існує суперечність між підвищенням швидкості та інтенсивності руху залізничного транспорту, збільшенням кількості аварійно-небезпечних ділянок, ускладненням системи управління залізничним транспортом, підвищенням вимог до якості інформаційного забезпечення машиніста локомотива та застосовуваними математичним апаратом і технологіями управління кодування/декодування. Обґрунтовано вибір технології математичної формалізації на основі мереж масового обслуговування та нейронних мереж. Розроблено концептуальну модель бездротового сегменту підсистеми інформаційного забезпечення машиніста локомотива, яка побудована з використанням технології 4G і враховує тип модуляції QPSK та процедуру перемежіння при передачі кадрів для зниження ймовірності помилкового прийому при забезпеченні високої швидкості передачі даних. Розроблено математичну модель процесу передачі даних по фізичному розподіленому uplink каналу, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці і дозволяє оцінити ймовірносно-часові характеристики процесу передачі даних в підсистемі інформаційного забезпечення машиніста локомотива. Розроблено математичну модель управління доступом до сегменту комп'ютеризованої системи залізничного транспорту, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці. Удосконалено процедуру завадостійкого декодування потокового відео, що передається в бездротовому сегменті 4G мережі підсистеми інформаційного забезпечення машиніста локомотива, що дозволяє підвищити оперативність при передачі даних, скоротити загальну кількість обчислень при декодуванні і звільнити обчислювальні ресурси комп'ютеризованої системи. Розроблено інтелектуальну систему контролю стану небезпечних ділянок залізничного шляху із застосуванням адаптованої згортальної нейронної мережі, що дозволяє підвищити достовірність розпізнавання небезпечних ситуацій на залізничних переїздах і інформувати машиніста в разі виникнення критичної ситуації. Обґрунтовано практичні рекомендації щодо застосування розроблених методів.The thesis is in candidacy for a scientific degree of candidate of technical sciences in specialty 05.13.05 – computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis solves the problem of developing methods for processing and transmitting data for the locomotive driver's information support subsystem. Based on the study of modern methods and means of processing and transmitting data on railway transport, it is established that there is a contradiction between the increase in the speed and intensity of railway traffic, the increase in the number of emergency areas, the complexity of the railway transport management system, the increase in the requirements for railway transport safety and the applied mathematical apparatus and technologies of coding / decoding. The choice of technology of mathematical formalization based on queuing networks and neural networks is justified. A conceptual model of the wireless segment of the locomotive driver's information support subsystem has been developed, which is built using 4G technology and takes into account the QPSK modulation type and the interleaving procedure for frame transmission to reduce the probability of erroneous reception while ensuring a high data rate. A mathematical model of the process of transmitting video data over a physical distributed uplink channel that takes into account the peculiarities of video data transmission in accordance with the LTE standard under dynamic conditions of the railway main line is developed and allows to estimate a wide range of robabilitytemporal characteristics of the video data transmission process in the locomotive driver's information support subsystem. A mathematical model of access control to the segment of a locomotive driver's information support subsystem has been developed, which takes into account the peculiarities of video data transmission in accordance with the LTE standard in the dynamic conditions of the railway line. The procedure for noiseless decoding of streaming video in the wireless 4G network segment of the locomotive driver’s information support subsystem is improved. It allows to increase efficiency in data transfer, to reduce the total number of calculations during decoding and to release the computing resources of the computerized system. An intelligent system for monitoring the state of dangerous sections of the railway using an adapted convolution neural network has been developed, which makes it possible to increase the reliability of the recognition of dangerous situations at railway crossings and inform the driver in the event of a critical situation. Practical recommendations as for the developed methods application are substantiated.
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Ліпчанська, Оксана Валентинівна. "Методи обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива." Thesis, Національний технічний університет "Харківський політехнічний інститут", 2019. http://repository.kpi.kharkov.ua/handle/KhPI-Press/40900.
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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.05 – комп'ютерні системи та компоненти. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2019.
У дисертації вирішена задача розробки методів обробки та передачі даних для підсистеми інформаційного забезпечення машиніста локомотива. На підставі вивчення сучасних методів і засобів обробки і передачі даних на залізничному транспорті встановлено, що існує суперечність між підвищенням швидкості та інтенсивності руху залізничного транспорту, збільшенням кількості аварійно-небезпечних ділянок, ускладненням системи управління залізничним транспортом, підвищенням вимог до якості інформаційного забезпечення машиніста локомотива та застосовуваними математичним апаратом і технологіями управління кодування/декодування. Обґрунтовано вибір технології математичної формалізації на основі мереж масового обслуговування та нейронних мереж. Розроблено концептуальну модель бездротового сегменту підсистеми інформаційного забезпечення машиніста локомотива, яка побудована з використанням технології 4G і враховує тип модуляції QPSK та процедуру перемежіння при передачі кадрів для зниження ймовірності помилкового прийому при забезпеченні високої швидкості передачі даних. Розроблено математичну модель процесу передачі даних по фізичному розподіленому uplink каналу, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці і дозволяє оцінити ймовірносно-часові характеристики процесу передачі даних в підсистемі інформаційного забезпечення машиніста локомотива. Розроблено математичну модель управління доступом до сегменту комп'ютеризованої системи залізничного транспорту, яка враховує особливості передачі даних відповідно до стандарту LTE в динамічних умовах магістралі залізниці. Удосконалено процедуру завадостійкого декодування потокового відео, що передається в бездротовому сегменті 4G мережі підсистеми інформаційного забезпечення машиніста локомотива, що дозволяє підвищити оперативність при передачі даних, скоротити загальну кількість обчислень при декодуванні і звільнити обчислювальні ресурси комп'ютеризованої системи. Розроблено інтелектуальну систему контролю стану небезпечних ділянок залізничного шляху із застосуванням адаптованої згортальної нейронної мережі, що дозволяє підвищити достовірність розпізнавання небезпечних ситуацій на залізничних переїздах і інформувати машиніста в разі виникнення критичної ситуації. Обґрунтовано практичні рекомендації щодо застосування розроблених методів.The thesis is in candidacy for a scientific degree of candidate of technical sciences in specialty 05.13.05 – computer systems and components. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2019. The thesis solves the problem of developing methods for processing and transmitting data for the locomotive driver's information support subsystem. Based on the study of modern methods and means of processing and transmitting data on railway transport, it is established that there is a contradiction between the increase in the speed and intensity of railway traffic, the increase in the number of emergency areas, the complexity of the railway transport management system, the increase in the requirements for railway transport safety and the applied mathematical apparatus and technologies of coding / decoding. The choice of technology of mathematical formalization based on queuing networks and neural networks is justified. A conceptual model of the wireless segment of the locomotive driver's information support subsystem has been developed, which is built using 4G technology and takes into account the QPSK modulation type and the interleaving procedure for frame transmission to reduce the probability of erroneous reception while ensuring a high data rate. A mathematical model of the process of transmitting video data over a physical distributed uplink channel that takes into account the peculiarities of video data transmission in accordance with the LTE standard under dynamic conditions of the railway main line is developed and allows to estimate a wide range of robabilitytemporal characteristics of the video data transmission process in the locomotive driver's information support subsystem. A mathematical model of access control to the segment of a locomotive driver's information support subsystem has been developed, which takes into account the peculiarities of video data transmission in accordance with the LTE standard in the dynamic conditions of the railway line. The procedure for noiseless decoding of streaming video in the wireless 4G network segment of the locomotive driver’s information support subsystem is improved. It allows to increase efficiency in data transfer, to reduce the total number of calculations during decoding and to release the computing resources of the computerized system. An intelligent system for monitoring the state of dangerous sections of the railway using an adapted convolution neural network has been developed, which makes it possible to increase the reliability of the recognition of dangerous situations at railway crossings and inform the driver in the event of a critical situation. Practical recommendations as for the developed methods application are substantiated.
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Spönemann, Miro [Verfasser]. "Graph Layout Support for Model-Driven Engineering / Miro Spönemann." Kiel : Universitätsbibliothek Kiel, 2015. http://d-nb.info/1069290076/34.
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Helquist, Joel. "Participant-Driven Group Support Systems: An Approach to Distributed, Asynchronous Collaborative Systems." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196028.
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This dissertation presents the Participant-driven Group Support System (PD-GSS)framework. This framework presents an approach for Group Support System (GSS)designers to accommodate distributed or asynchronous groups through the use ofdifferent technologies and processes than traditional GSS.The goal of the PD-GSS framework is to further involve the collaborativeparticipants during the workflow in an effort to reduce the load on the meetingfacilitator. As the name implies, it is the participants that are increasingly responsiblefor conducting and executing the required actions during a collaborative processes. Thesystem empowers the participants in the meeting to conduct the meeting themselves,reducing the need for a dedicated facilitator to guide the process.One of the modules from the PD-GSS framework, Peer-reviewed Brainstorming,was developed into a prototype and tested experimentally. This module requires eachbrainstorming idea to be routed through a peer-review process whereby the originalbrainstorming idea is edited for clarity and completeness. The goal of this new moduleis to reduce the number of low quality, noisy comments while increasing the quantity ofhigh quality comments.Ten six-person groups participated in the first experiment. Five groups wereplaced in a traditional electronic brainstorming GSS while the other five groups wereplaced in the peer-review treatment. The results indicate that the peer-review processdid control the brainstorming process, yielding a higher percentage of validbrainstorming ideas.The second module examined was the categorization module, allowing groups towork autonomously to identify similar ideas that should be grouped together in the samecategory or bucket. This new approach to the categorization of brainstorming ideasenables groups to work independently, asynchronously, and anonymously to organizethe brainstorming input.An existing GSS, ThinkTank by GroupSystems, was utilized. Eighty-one groupswere used in the second experiment to test the ability of groups to work independently,without a facilitator, in an attempt to organize brainstorming ideas. The groups workingsynchronously outperformed the groups working in a mock asynchronous setting.Likewise, the groups that had to categorize the fewest number of brainstorming ideasreceived the highest performance measures.
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Muntermann, Jan. "Event-driven mobile financial Information-Services : design of an intraday decision support System /." Wiesbaden : Dt. Univ.-Verl, 2007. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016494719&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
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Cavallin, Petter. "Data driven support of production through increased control of information parameters : A case study." Thesis, Uppsala universitet, Institutionen för samhällsbyggnad och industriell teknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-419891.
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The current manufacturing business environment becomes more dependent of digital tools to increase business opportunities and customer value. The organizations ability to embrace the digital tools is dependent of a its digital maturity position. The organization structure, information systems, and communication are variables affecting the position and enables or disables possibility of data-based decisions-making (DBDM). To determine the ability information system and information flow is analyzed through a case study at one of the production departments. The areas studied in the case study are information flow of metal powder and compression tools. The case study is performed to study the organizations ability to connecting information, study information flow and assess potential information disruption. It is assessed by using digital maturity assessments. This result provides an insight of how it affects the DBDM abilities within the department. These areas are common in a general production setting. The metal powder area is analyzed by an experiment where the metal powder containers is manually measured and evaluate the real weight compared to the depreciated weight in the information system. The compression tool analysis is performed by extracting and analyzing structured- and unstructured machine data from the production. This analytical angle is dependent of reliable data, and information disruption between the production processes and the servers is noticed during the extraction of data. This extraction process and analysis resembles the need when implementing machine learning and other automatic applications. The 360DMA assess a general view of the organizations position and follow up with a method how to reach certain goals to increase one of the five levels. The Acatech-model is used to assess two structural areas, resources and information systems. The metal powder container analysis shows that there is a problem between the information stored in the systems regarding weight of the metal powder containers. The compression tool analysis result is that the stored data about the compression tools and the count of the different components is not correct. This and difficulties with manually- and automatically extracting data from server’s cause information disruptions and decrease the production process information reliability and validity. This decrease the ability to use the production data to make data driven decisions and gain insights about the production. The digital maturity assessment position the organization on a connectivity level (Acatech model) regarding information systems and resources means that data is unreliable and once its reliable the next level is in reach. The varying position within the 360DMA model call for management to synchronize development between processes by introducing strategies, define responsibilities and understand the information flow.
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CHAMARTY, VINOD. "INVESTIGATION OF AN INFORMATION STRUCTURE TO SUPPORT THE ELABORATION OF SIMULTANEOUS STATEMENTS IN COMPILE-DRIVEN MIXED-SIGNAL SIMULATION." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1100641876.
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Huatuco, Santos Gustavo. "Soccer Coach Decision Support System." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15136/.
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The savage essence and nature of sports means those who work on it hunt for the win. The sport enterprise is undergoing a gigantic digital transformation focused on imaging, real time and data analysis employed in the competitions. Conventional process methods in sports management such as fitness and health establishments, training, growth and match or game realisation are all being revolutionized by the sport digitization. In team sports it is well known that is needful an enough and simple digital methodology to organize and construct a feasible strategy. Digitization in sports is perpetually evolving and requires pervasive challenges. The sports and athletics digitization success is based on what is being done with collection of more data. Competitive advantages go to those who produce powerful operations using the data and acting on it in real time. The potential impact of these sport features in sport team operations is powerful. Data does not ride all decisions, but it empowers knowledgeable decisions. In these world circumstances, our vision with this system was born from a dream helping soccer sport management systems embrace and improve its contest success. Our perspective problem is how a decision support system for soccer coaches helps them to take enhancement decisions better. To face this problem we have created a soccer coach decision support system. This system is organised in two joined components; the first simulates the prediction of the soccer match winner through a data driven neural network. This component output activates the second to operate the logic rules learning and provides the stats, analysis, decision making and additionally plans improvements like drills and training procedures. This helps on the preparation towards upcoming matches as well as being aligned with their style and playing concepts.
Future scalability and development, will analyse the mental and moral features of the teams by virtue of their athlete’s behavior changes.
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Gulden, Jens [Verfasser], Ulrich [Akademischer Betreuer] Frank, and Stefan [Akademischer Betreuer] Eicker. "Methodical support for model-driven software engineering with enterprise models / Jens Gulden. Gutachter: Ulrich Frank ; Stefan Eicker. Betreuer: Ulrich Frank." Duisburg, 2013. http://www.seem-method.info/.
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Wang, Disi [Verfasser], and Heinz Ulrich [Akademischer Betreuer] Hoppe. "A Model-driven Approach to Developing a Web-based Environment to Support Problem-based Learning / Disi Wang ; Betreuer: Heinz Ulrich Hoppe." Duisburg, 2019. http://d-nb.info/1191694283/34.
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Alhassan, Mohammed. "Enterprise architecture driven design of an artefact to support strategic Information Technology decision-making of Small Enterprises in Nigeria and South Africa." Thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/28345.
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Information Technology (IT) is inevitably influencing the way enterprises operate, compete, and grow. The contemporary disruption has not excluded small companies. Small enterprises play a significant role in the growth of every economy but are hindered by limited skills, time, and money. The attributes of small enterprises influence the strategic and day-to-day operations. Small enterprise owners are often the managers who make the strategic decisions in order to solve specific problems. The decision style of small enterprise owner-managers limits the leveraging of IT. To ensure the sustainability of small enterprises in a contemporary business ecosystem, it is pertinent to strategise IT investment decisions. Enterprise architecture is a well-known approach to business and IT alignment. This study aimsto discover and develop how the complex enterprise architecture principles can strategise the IT decisionmaking process in small enterprises with limited resources and informal structures. The pragmatic philosophic stance was the premise for understanding the decision challenges and the development of a roadmap to intervene the problems the researcher identified. The Vaishnavi and Kuechler design science research methodology guided this study. The qualitative research approach was employed to collect verbal data with eleven small enterprise ownermanagers to understand the processes and the challenges of making IT decision in small enterprises. A thematic analysis of the findings revealed that lack of formalisation, limited information, and lack of IT skill created a critical bottleneck of IT investment decisions in small enterprises. An enterprise architecture-driven framework was developed to overcome the bounded rationality approach to IT choices in small enterprises. The framework holistically assesses organisational business-IT capabilities, constraints, and criteria to guide the decisionmaker's choice. The characteristics of small enterprises limit the successful implementation of the enterprise architecture-driven framework as a theoretical guideline for making optimal IT decisions in small enterprises. This study further developed an online IT decision-assistive tool informed by the framework. The instantiation artefact was demonstrated with six small enterprise owners from Nigeria and South Africa. The findings affirmed the prospect, potential, and relevance of an enterprise architecture-driven artefact as a tool to optimise strategic IT decisions in small manufacturing, service, and retail enterprises. The artefact developed in this study provided a practical intervention to the challenges of IT investment decisions in small enterprises.
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Schliephake, Hanna Josephina, and Charlotte Laila Niemann. "Digital Institutions to Support Data-Driven Circularity Innovation : The Improvement of Textile and Apparel Recycling Processes through Blockchain Technology." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-26415.
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Purpose - The purpose of this master thesis is to explore if and how blockchain technology can improve textile and apparel recycling processes. It further aims to investigate which institutional and infrastructural preconditions have to be met for it to do so. This research seeks to extend the understanding of the technology’s potential and to derive theoretical and managerial implications. Design/ Methodology/ Approach - The study applies a qualitative, explorative research approach, following a deductive research strategy. Thereby, a theoretical framework was derived based on the results of a literature review. Primary data was collected using the method of semi-structured expert interviews and analysed using the method Thematic Analysis. The sample contained experts from different entities of the textile and apparel recycling industry, namely textile waste collectors, textile waste sorters, textile-to-textile recyclers, manufacturers, recycling experts and digital service-providers. Findings - The results show that blockchain technology in fact holds the potential to improve industry processes through its ability to verify data and assign value. However, the findings suggest that the main challenges of the textile and apparel recycling industry are grounded in its institutional complexity. Therefore, the lack of sufficient infrastructure, information exchange and value creation inhibit the industry from using blockchain technology to its full potential. Implications - To overcome this, it is advised that the individual industry players must collaborate to fulfil the essential institutional and infrastructural requirements. This means creating an inter-organisational network that relies on the exchange of recycling-relevant information, uniform data structures and unified norms and practices. Originality/ Value - Scientific research lacks a coherent understanding of the relation between blockchain technology and textile and apparel recycling. This research bridges this gap by illustrating the industry’s challenges and exploring blockchains potential to address them, while laying out the institutional and infrastructural preconditions for blockchain to contribute to an improved textile and apparel recycling.
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Smogner, Peter, and Johnson Niklas. "How to enhance Shareholder Value through a Customer support in the Insurance industry : A business driven approach towards business intelligence." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-133314.
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An increased competitive climate has enhanced the importance for companies to differentiate from other companies. Today, the customer support within service organizations are often disregarded as a source of value due to the focus on costs. Further, it has become more important to leverage the contact with the customer at all encounters. New technological advancements within Business Intelligence have also enabled companies to increase their competitiveness through improved decision support. The objective of this thesis is through a case study investigate how an insurance company could leverage its customer support as a source of creating shareholder value as well as how to apply trends within Business Intelligence for increased decision support. This was done through developing a conceptual model based on academic theory in order to provide a tool for analysis and development of a customer support. The research questions intends to investigate how an customer support can contribute to, and balance a focus on service quality, costs and sales in order to enhance shareholder value. A business driven approach was further used in order to understand how a customer support could leverage the emerging trends of Business Intelligence. This since the thesis also aims to provide some first insights into how to leverage the trends of mobile- and Self-Service- Business Intelligence within the customer support within insurance companies. The research emphasizes the need to have a holistic view of what drives value and costs with regard to the retention, growth and acquisition of customers when viewing the customer support as a source of value. The thesis concludes that both the trends of mobile- and Self-Service- Business Intelligence could enable an insurance company to gain new insights through utilizing existing internal as well as external data in order to conduct a more continuous and flexible analysis of important matters.Insurance industry, Customer Support, Call-Centre, Business Intelligence, Self-Service Business Intelligence, Mobile Business Intelligence, Shareholder Value, Value creation, Value drivers, Lean Service, Systems Thinking, Strategic Management, Operational Strategy, Outside-in thinking, Performance Management, Customer Retention, Customer Satisfaction, Service Quality.
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Wendin, Ingrid, and Per Bark. "Data at your service! : A case study of utilizing in-service data to support the B2B sales process at a large information and communications technology company." Thesis, Linköpings universitet, Industriell ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176403.
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The digitalization of our society and the creation of data intense industries are transforming how industrial sales can be made. Large volumes of data are generated when businesses and people use digital products and services which are available in the modern world. Some of this data describes the digital products and services when they are in use, i.e., it is in-service data. Furthermore, data has during the last decade been seen as an asset which can improve decision-making and has made sales activities become increasingly customer specific. The purpose of this study was to explore how knowledge from in-service data can serve B2B selling. To realize this purpose the following three research questions were answered by conducting a single case study of a large company in the information and communications technology (ICT) industry. (RQ1) How does a company in a data intense industry use knowledge from in-service data in the B2B sales process? (RQ2) What opportunities does knowledge from in-service data create in the B2B sales process? (RQ3) What challenges hinder a company from using knowledge from in-service data in the B2B sales process? RQ1: This study has concluded that, in the context of a data intense industry, throughout the steps in the B2B sales process, knowledge from in-service data is actively used by the sales team, however, to varying degrees. In-service data is used in six categories of sales activities: (1) to understand the customer in terms of their technical and strategical needs, which enables lead generation and cross-selling, (2) to make information from in-service data available through data collection, storage, and analyses, (3) to nurture the relationship between buyer and seller by creating understanding, trust and satisfactory offers to the customer, (4) to present solutions with convincing arguments, (5) to solve problems and satisfy the customer’s needs, and (6) to provide post-sale value-adding services. Moreover, three general resources which are used in the activities were identified: An audit report which presents the information of the data, a plan which presents strategic expansions of the solution, and simulations of the solution. Furthermore, four general actors who are performing the activities were identified: the Key Account Manager (KAM) who is responsible for conducting the sales interactions with the customer, the sales team, and the presales team who both support the KAM, and the customer. In addition to the general resources and actors, companies may use step-specific resources and actors. RQ2: Four categories of opportunities were identified: knowledge from in-service data (1) assists KAMs in discovering customer needs, (2) guides the KAM in creating better customer specific solutions, (3) helps the KAM move the sale faster through the sales process, and (4) assists the company in becoming a true partner who provides strategic services, rather than acting as a supplier. RQ3: Finally, four categories of challenges were identified: (1) organizational, (2) technological, (3) cultural, and (4) legal & security. Out of these, obtaining access to the data was identified as the greatest challenge to use in-service data. The opportunities and the challenge to access data are deemed to be general for companies in data intense industries, while the other challenges are depending on the structure, size, and culture of the individual company. The findings of this study contribute to a general understanding of how companies in data intense industries may use knowledge from in-service data, what opportunities this data create for their B2B sales process, and which challenges they face when they pursue activities which use the knowledge from in-service data. To conclude, in-service data serves B2B selling especially as a source of customer knowledge. It is used by salespeople to understand the customer in terms of its technical and strategical needs and salespeople use this knowledge to conduct various customer-oriented sales activities. In-service data creates several opportunities in B2B sales. However, several challenges must be overcome to seize the opportunities. Especially the question of data access.
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Farooq, Kamran. "A novel ontology and machine learning driven hybrid clinical decision support framework for cardiovascular preventative care." Thesis, University of Stirling, 2015. http://hdl.handle.net/1893/22328.
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Clinical risk assessment of chronic illnesses is a challenging and complex task which requires the utilisation of standardised clinical practice guidelines and documentation procedures in order to ensure consistent and efficient patient care. Conventional cardiovascular decision support systems have significant limitations, which include the inflexibility to deal with complex clinical processes, hard-wired rigid architectures based on branching logic and the inability to deal with legacy patient data without significant software engineering work. In light of these challenges, we are proposing a novel ontology and machine learning-driven hybrid clinical decision support framework for cardiovascular preventative care. An ontology-inspired approach provides a foundation for information collection, knowledge acquisition and decision support capabilities and aims to develop context sensitive decision support solutions based on ontology engineering principles. The proposed framework incorporates an ontology-driven clinical risk assessment and recommendation system (ODCRARS) and a Machine Learning Driven Prognostic System (MLDPS), integrated as a complete system to provide a cardiovascular preventative care solution. The proposed clinical decision support framework has been developed under the close supervision of clinical domain experts from both UK and US hospitals and is capable of handling multiple cardiovascular diseases. The proposed framework comprises of two novel key components: (1) ODCRARS (2) MLDPS. The ODCRARS is developed under the close supervision of consultant cardiologists Professor Calum MacRae from Harvard Medical School and Professor Stephen Leslie from Raigmore Hospital in Inverness, UK. The ODCRARS comprises of various components, which include: (a) Ontology-driven intelligent context-aware information collection for conducting patient interviews which are driven through a novel clinical questionnaire ontology. (b) A patient semantic profile, is generated using patient medical records which are collated during patient interviews (conducted through an ontology-driven context aware adaptive information collection component). The semantic transformation of patients’ medical data is carried out through a novel patient semantic profile ontology in order to give patient data an intrinsic meaning and alleviate interoperability issues with third party healthcare systems. (c) Ontology driven clinical decision support comprises of a recommendation ontology and a NICE/Expert driven clinical rules engine. The recommendation ontology is developed using clinical rules provided by the consultant cardiologist from the US hospital. The recommendation ontology utilises the patient semantic profile for lab tests and medication recommendation. A clinical rules engine is developed to implement a cardiac risk assessment mechanism for various cardiovascular conditions. The clinical rules engine is also utilised to control the patient flow within the integrated cardiovascular preventative care solution. The machine learning-driven prognostic system is developed in an iterative manner using state of the art feature selection and machine learning techniques. A prognostic model development process is exploited for the development of MLDPS based on clinical case studies in the cardiovascular domain. An additional clinical case study in the breast cancer domain is also carried out for the development and validation purposes. The prognostic model development process is general enough to handle a variety of healthcare datasets which will enable researchers to develop cost effective and evidence based clinical decision support systems. The proposed clinical decision support framework also provides a learning mechanism based on machine learning techniques. Learning mechanism is provided through exchange of patient data amongst the MLDPS and the ODCRARS. The machine learning-driven prognostic system is validated using Raigmore Hospital's RACPC, heart disease and breast cancer clinical case studies.
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Oger, Raphaël. "A decision support system for long-term supply chain capacity planning : a model-driven engineering approach." Thesis, Ecole nationale des Mines d'Albi-Carmaux, 2019. http://www.theses.fr/2019EMAC0013.
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La planification capacitaire des chaînes logistiques (SCCP) sur un horizon long-terme a pour objectif de définir un plan d’actions contenant l’ensemble des actions qui vont façonner la capacité disponible et requise des chaînes logistiques sur plusieurs années. Lorsque les entreprises réalisent leur SCCP sur un horizon long-terme, elles sont confrontées à une multitude d’options décisionnelles et de sources d’incertitudes, ainsi qu’à un environnement très dynamique. Chaque entreprise met en place son propre système d’aide à la décision (SCCP DSS) pour réaliser sa SCCP. Ce DSS est composé d’un processus de prise de décisions, d’un système d’information, et de personnes. Les entreprises peuvent utiliser les processus de prise de décisions et systèmes d'information existants pour créer leur propre SCCP DSS. Cependant, la revue de littérature relative aux processus de prise de décisions et systèmes d'information existants pouvant servir à la création d’un SCCP DSS a révélé les trois limitations suivantes : premièrement, les solutions existantes sont très chronophages. Cette limitation contraint les entreprises à ne prendre en compte qu’un nombre limité de scénarios alternatifs associés aux options décisionnelles et aux sources d’incertitudes. De plus, cela rend difficile le maintien à jour des analyses SCCP. Deuxièmement, les solutions existantes sont conçues pour réaliser les analyses SCCP sur des chaines logistiques prédéfinies et figées, sans considération de l’ensemble des potentielles alternatives structurelles. Troisièmement, les décideurs sont parfois réticents face aux méthodes d’optimisation du fait du manque de visibilité sur le processus d’obtention de la solution recommandée. Ainsi, cette thèse décrit la proposition d’un nouveau SCCP DSS ayant pour objectif de solutionner ces limitations. Il est composé d’une proposition de processus de prise de décisions SCCP tirant profit d’une proposition de système d'information SCCP. Le processus de prise de décisions SCCP est composé de deux processus : implémentation et routine. Le système d'information SCCP est composé de deux logiciels : un logiciel calculatoire et un logiciel de business intelligence. La proposition de SCCP DSS a été validée en réalisant deux projets pilotes avec deux partenaires industriels. Deux bénéfices majeurs ont été identifiés : premièrement, cela permet de prendre en compte une multitude d’options décisionnelles et de sources d’incertitudes durant les analyses SCCP à un rythme permettant un maintien à jour de ces analyses. Deuxièmement, cela permet aux décideurs d’avoir de la visibilité sur l’impact que leurs options décisionnelles et sources d’incertitudes auraient sur l’entreprise, ce qui renforce leur confiance vis-à-vis des décisions qu’ils peuvent prendre. Finalement, des perspectives de recherche ont été identifiées, incluant notamment la conception d’un SCCP DSS hyperconnecté qui collecterait automatiquement les informations et déclencherait des réunions de prises de décisions seulement quand cela est nécessaire plutôt qu’à une fréquence prédéfinieLong-term Supply Chain Capacity Planning (SCCP) aims to define the plan of all actions to perform that will shape the available and required capacity of supply chains over several years. When performing long-term SCCP, companies are confronted with a multitude of decision options and uncertainty sources as well as a highly dynamic supply chain environment. Each company configures its own Decision Support System (DSS) to perform SCCP, composed of a decision-making process, an information system, and people. Companies can take advantage of existing decision-making processes and information systems to build their own SCCP DSS. However, the literature review on existing decision-making processes and information systems for SCCP revealed the following three major limitations: first, existing solutions are time-consuming. This constrains companies to consider only a small number of alternative scenarios associated with decision options and uncertainty sources. And it makes it difficult to keep SCCP analysis up to date. Second, existing solutions are designed to perform SCCP analysis on predefined supply chains without considering the whole set of potential alternative configurations. Third, decision-makers are reluctant to accept optimization methods because of the lack of visibility of the analysis leading to the recommended solution. Therefore, this thesis describes a new SCCP DSS proposal aiming to overcome these limitations. It is composed of an SCCP decision-making process proposal relying on an SCCP information system proposal. The SCCP decision-making process proposal contains two processes: implementation and routine. The SCCP information system proposal contains two software programs: a computational software program and a business intelligence software program. The SCCP DSS proposal was validated by undertaking two industrial pilot projects with two industrial partners. The following two major benefits have been confirmed: first, SCCP analysis can be performed in encompassing a multitude of decision options and uncertainty sources at a pace allowing updates in accordance with the pace of supply chain changes. Second, it provides decision-makers with the visibility and understanding of the impacts of their respective decisions and uncertainty sources which bolster their confidence in the decisions they can make. Finally, avenues for future research have been identified, including an opportunity for designing a hyperconnected SCCP DSS that automatically gathers information and triggers decision-making meetings when necessary rather than on a predefined frequency
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Lindblom, Ellen, and Isabelle Almquist. "Data-Driven Predictions of Heating Energy Savings in Residential Buildings." Thesis, Uppsala universitet, Byggteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-387395.
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Along with the increasing use of intermittent electricity sources, such as wind and sun, comes a growing demand for user flexibility. This has paved the way for a new market of services that provide electricity customers with energy saving solutions. These include a variety of techniques ranging from sophisticated control of the customers’ home equipment to information on how to adjust their consumption behavior in order to save energy. This master thesis work contributes further to this field by investigating an additional incentive; predictions of future energy savings related to indoor temperature. Five different machine learning models have been tuned and used to predict monthly heating energy consumption for a given set of homes. The model tuning process and performance evaluation were performed using 10-fold cross validation. The best performing model was then used to predict how much heating energy each individual household could save by decreasing their indoor temperature by 1°C during the heating season. The highest prediction accuracy (of about 78%) is achieved with support vector regression (SVR), closely followed by neural networks (NN). The simpler regression models that have been implemented are, however, not far behind. According to the SVR model, the average household is expected to lower their heating energy consumption by approximately 3% if the indoor temperature is decreased by 1°C.
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Snow, Janet P. "Information and communication technology driven teaching and learning opportunities in support of environmental education processes : a case of the eno-environment online programme at Treverton Preparatory School, South Africa /." Thesis, Rhodes University, 2008. http://eprints.ru.ac.za/1623/.
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Brunetti, Pietro. "Eco-sistemi informatici, distribuiti, real-time, a supporto del lavoro cooperativo in scenari di emergenza: Studio e realizzazione di un caso applicativo." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7886/.
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I sistemi software nati dall'esigenza di supportare agevolmente ed efficacemente il lavoro cooperativo, in particolare quelli orientati al supporto di azioni di soccorso in scenari di emergenza, appaiono tutt'ora fortemente limitati e frammentati.
In molti casi vengono affrontate solamente specifiche dimensioni del problema complessivo, anche se il livello al quale è giunto lo sviluppo tecnologico e i risultati osservati in ambito di ricerca permettono di delineare soluzioni complete e significative per l'impiego in ambiti reali.
Tale tipologia di sistemi è stata scelta per il grande interesse che desta sia dal punto di vista accademico, essendo costituita da molteplici sotto--sistemi spesso eterogenei che debbono necessariamente interagire e supportare l'azione umana, sia dal punto di vista industriale, interpretando la necessità crescente di iniettare nel maggior numero possibile di livelli sociali la forte dipendenza (il supporto allo stesso tempo) dalle scienze tecnologiche ed informatiche, per rafforzare e talvolta estendere le possibilità dell'essere umano in quanto tale.
Dopo una prima fase in cui verrà delineato un quadro concettuale piuttosto dettagliato circa i principali elementi e problematiche che caratterizzano la classe di sistemi considerati, sarà dato spazio alla validazione di tali principi e considerazioni emerse, confrontandosi con la progettazione e sviluppo in forma prototipale di un sotto--sistema relativo ad un caso di studio reale, significativo per l'ambito di applicazione, nato dalla collaborazione con l'Università degli Studi di Bologna di un'azienda della regione Emilia--Romagna.
Il sistema software realizzato vuole essere innanzi tutto la risposta alle esigenze emerse nel caso di studio trattato, in modo tale da potersi sostituire agli attuali limitati supporti alla cooperazione, ma anche un esperimento che possa essere considerato un artefatto centrale da utilizzare come base di conoscenza condivisa, in cui vengano fattorizzati i concetti e meccanismi chiave, fondamentali per sviluppi futuri.
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Heusinger, Marcel [Verfasser], Heimo H. [Akademischer Betreuer] Adelsberger, and Volker [Akademischer Betreuer] Gruhn. "The design of 'possible worlds' as a contribution to the unfinished project of modernity : development of a reference architecture to support the decision-making processes of community-driven sustainable human development initiatives / Marcel Heusinger. Gutachter: Volker Gruhn. Betreuer: Heimo H. Adelsberger." Duisburg, 2015. http://d-nb.info/1075456169/34.
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Heusinger, Marcel [Verfasser], Heimo H. Akademischer Betreuer] Adelsberger, and Volker [Akademischer Betreuer] [Gruhn. "The design of 'possible worlds' as a contribution to the unfinished project of modernity : development of a reference architecture to support the decision-making processes of community-driven sustainable human development initiatives / Marcel Heusinger. Gutachter: Volker Gruhn. Betreuer: Heimo H. Adelsberger." Duisburg, 2015. http://nbn-resolving.de/urn:nbn:de:hbz:464-20150813-114051-5.
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Page, T., M. Lehtonen, G. Thorsteinsson, E. Yokoyama, and H. Ruokamo. "A Virtual Learning Environment in Support of Blended and Distance Learning in Technology & Design Education." 名古屋大学大学院教育発達科学研究科 技術・職業教育学研究室, 2005. http://hdl.handle.net/2237/12015.
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Pitka, Lukáš. "Podpora rozhodování pomocí podnikových informačních systémů společnosti Exact Software." Master's thesis, Vysoká škola ekonomická v Praze, 2009. http://www.nusl.cz/ntk/nusl-10486.
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This diploma thesis deals with an information technology support of organization's decision making processes using Exact Software's enterprise information systems. The main goal of this paper is a demonstration of various Exact Software applications using real world examples from several Czech enterprises. Illustration of various benefits of integrated enterprise systems architecture is another goal of this paper. Possible benefits gained during the process of implementation of Exact Software's applications and necessary requirements that have to be fulfilled create the last goal. Risks and issues that can be encountered during the implementation process are mentioned along with benefits. To achieve these goals this diploma paper contains a lot of practical illustrations supplemented by theoretic explanation. Paper includes four parts. First part is an introduction into decision making processes in enterprises and provides a general overview of Exact Software's enterprise information systems portfolio. Another area covered by the first part is an overview of possible benefits of these systems in according to the level of organization management. Second part is dedicated to Exact Synergy Enterprise. At the beginning of this part there are outlined procedures, benefits and assumptions necessary for successful system implementation. The following text in part two contains many real world examples from the decision making point of view. Third part covers Business Intelligence application Exact Business Analytics from the standpoint of implementation guidelines, prerequisites and benefits. Subsequent subchapters contain practical examples of usage of this system. The last part is comprised from two case studies of Exact Software's systems implementation -- first one is a financial counseling company, second one is a company from the IS/ICT area. The paper as a whole represents unique material for companies that are looking for solutions on their decision making and analytical procedures problems. On the basis of this paper the reader can create an overview of current capabilities of enterprise information systems. A vast majority of presented solutions are system independent i.e. the usage of systems from Exact Software is only exemplary. Case studies of complex enterprise IS architectures in real world enterprises represents another great contribution to this diploma paper.
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PiQUILLOUD, IMBODEN Lise. "Apport de la physiologie dans l’optimisation de l’assistance ventilatoire : l’exploration de la commande respiratoire Information conveyed by electrical diaphragmatic activity during unstressed, stressed and assisted spontaneous breathing: a physiological study A diaphragmatic electrical activity-based optimization strategy during pressure support ventilation improves synchronization but does not impact work of breathing Accuracy of P0.1 measurements performed by ICU ventilators: a bench study." Thesis, Angers, 2019. http://www.theses.fr/2019ANGE0042.
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Les centres respiratoires du tronc cérébral régulent la ventilation. Les signaux qu’ils émettent sont transmis aux muscles inspiratoires. La commande respiratoire peut être monitorée au lit du patient au moyen de l’activité électrique diaphragmatique (Eadi) ou de la pression d’occlusion à 100 ms (P0.1). Le monitorage de ces paramètres devrait permettre d’optimiser l’assistance ventilatoire délivrée.Il n’existe que peu de données relatives aux valeurs normales d’Eadi et de P0.1 et à leurs variations en situations non physiologiques. La question de la fiabilité des mesures réalisables au lit du patient reste également débattue. Ce projet de thèse visait à augmenter les connaissances relatives à l’Eadi et à la P0.1.Les travaux réalisés ont permis de : 1. mieux caractériser l’amplitude de l’Eadi en situations physiologique et non physiologiques, 2. démontrer que la valeur maximale d’Eadi reflète bien l’intensité de la commande, 3. démontrer que le monitorage de l’Eadi est complémentaire à celui du profil ventilatoire et de l’effort inspiratoire, 4. démontrer que Eadi et P0.1 sont bien corrélés,5. démontrer que l’Eadi peut être utilisé pour optimiser les réglages en aide inspiratoire et que ceci améliore la synchronisation patient-ventilateur, 6. démontrer que les variations de P0.1 sont bien reflétées par les mesures de P0.1 réalisées par les ventilateurs et 7. démontrer que les ventilateurs sous-estiment les P0.1 de référence. Des études complémentaires sur de plus grands collectifs et portant sur le devenir des patients doivent être réalisées avant que le monitorage de l’Eadi et de la P0.1 puissent être recommandés comme techniques de routine chez les patients ventilésThe brainstem respiratory centers are in charge of breathing regulation. Their output is transmitted to the inspiratory muscles. Respiratory drive monitoring can be performed using the electrical activity of the diaphragm (Eadi) or the measurement of the occlusion pressure at 100 ms (P0.1). Monitoring these parameters should allow improving the delivered ventilator assist. Few data regarding the normal values of Eadi and P0.1 and their variations in non-physiological situations are available. The question of the reliability of the bedside measurements also remains opened.This thesis project aimed at increasing our knowledge on Eadi and P0.1 measurements. The studies performed allowed 1. better characterizing Eadi and P0.1 normal values in physiological and non-physiological situations. 2. demonstrating that Eadi maximal value well reflects inspiratory drive intensity, 3. demonstrating that Eadi monitoring provides additional information compared to respiratory profile and inspiratory effort monitoring, 4. demonstrating that Eadi and P0.1 are well correlated, 5. demonstrating that Eadi can be used to improve the ventilator settings during pressure support and that this strategy allows improving patient-ventilator synchrony. 6. showing that the P0.1 variations are well reflected by the P0.1 measured by the ventilators, 7. demonstrating that overall the P0.1 measured by the ventilators underestimate the reference P0.1. Additional studies in more patients and studies designed to assess the impact on patient’s outcome of using Eadi and P0.1 monitoring should be perform before recommaending these monitorings as a standard procedure in ventilated patients
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Pinho, Cláudia Sofia Borges. "Information systems driven to decision support and institutions’ success in the higher education context." Doctoral thesis, 2019. http://hdl.handle.net/10400.6/7154.
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The main aim of this Ph.D. thesis in Management is to provide better understanding of the role of Information Systems (ISs) in the decision-making process and successful performance of Higher Education Institutions (HEIs), exploring the antecedents of technology acceptance. To achieve the objectives defined, four articles were elaborated: a Systematic Literature Review (SLR) and three articles of an empirical nature.
Therefore, the first article aimed to identify, explore and systematize the main topics regarding the role of web portals as tools to support information management in HEIs. Based on 126 articles published up to 5 November 2016 on the Web of Science and SCOPUS databases, four major topics were identified, namely, the software used in web portals, internal and external benefits of using web portals, technology acceptance and information storage and management. The main contribution of this research lies in identifying the main topics and trends in scientific production for each topic identified, and in identifying gaps and future lines of research in this field of study.
The second article aimed to study the influence of web portals in supporting HEI management and performance, considering personality traits, perceived usefulness and perceived ease of use, through an empirical study. To achieve the aim proposed, Structural Equation Modelling (SEM) was used together with a structured questionnaire administered to teaching and non-teaching staff in Portuguese HEIs. The results obtained, through 338 valid responses, indicate a positive influence of personality traits on the use of web portals and that their use also has a positive influence on HEIs’ performance.
The third chapter sought to identify the factors influencing the use of e-learning platforms in the Portuguese academic context through an empirical study. A structured questionnaire was used to collect information. Based on 631 valid responses, SEM was applied, leading to the conclusion that, in accordance with Innovation Diffusion Theory (IDT), the characteristics of e-learning platforms and Personal Innovativeness in Information Technology (PIIT) have a positive influence on the use of this tool.
The fourth and final article aimed to identify and explain the factors of successful operation, implementation and use of e-libraries in the academic context of Portuguese higher education. To achieve this goal, a qualitative approach was adopted, through a case study of the e-library at the University of Beira Interior (UBI). Primary data were obtained from interviews with staff of the library, computer services and administration of this teaching institution holding leadership positions and directly involved in the implementation, maintenance or use of the e-library. The empirical evidence highlights the importance of minimizing costs, particularly by forming cooperation protocols, the use of open-source software and training of UBI library staff.
Acceptance and use of the e-library depends on the platform’s characteristics, the ease of access to information, actions to publicise and make the whole academic community aware of the e-library and its functions, and implementation of appealing, intuitive User Interfaces (UIs). In addition, the training of students and library staff was revealed as a relevant factor for acceptance of this tool. For the future, the creation of a functional search aggregator is suggested, to allow a simultaneous search in all the databases and creating the least noise possible. This function could be implemented based on multi-disciplinary teams with skills acquired through specific training. This study was based on Resource-Based View (RBV) and Social Learning Theory (SLT).
In this thesis, considering the four studies developed, it was possible to support the influence of IS acceptance on HEIs’ performance and determine the role of ISs in supporting these institutions’ management, in the Portuguese academic context. This research also presents contributions to theory and implications for practice, as well as future lines of study on the topic.O principal objetivo desta tese de doutoramento em Gestão consistiu em proporcionar uma melhor compreensão acerca do papel dos Sistemas de Informação (SIs) no processo de tomada de decisão e no sucesso da performance das Higher Education Institutions (HEIs), explorando os antecedentes da aceitação das tecnologias. Para conseguir alcançar os propósitos definidos, foram elaborados quatro artigos: uma Systematic Literature Review (SLR) e três artigos de natureza empírica. Neste sentido, o primeiro artigo teve por objetivo a identificação, exploração e sistematização dos principais temas sobre o papel dos portais web como ferramentas para apoiar a gestão da informação nas HEI. Tendo por base 126 artigos publicados até ao dia 5 de novembro de 2016, nas bases de dados Web of Science e SCOPUS foi possível identificar quatro grandes temáticas, nomeadamente, software utilizado em Portais Web, benefícios internos e externos da utilização de Portais Web, aceitação das tecnologias e o armazenamento e gestão da informação. O principal contributo desta investigação prende-se com a identificação das principais temáticas e tendências da produção científica em cada temática identificada, bem como, a identificação de lacunas e futuras linhas de investigação dentro deste campo de investigação. O segundo artigo teve por objetivo estudar a influência dos portais web no apoio à gestão e no desempenho das HEIs, tendo em consideração os traços de personalidade, a perceção acerca da utilidade e da facilidade de utilização, através de um estudo empírico. Para conseguir alcançar o objetivo proposto, recorreu-se ao Strucutral Equation Modeling (SEM) e a um questionário estruturado, dirigido a pessoal docente e não docente de HEIs portuguesas. Os resultados obtidos, através de 338 respostas válidas, indicam que existe uma influência positiva entre os traços de personalidade e a utilização dos portais web e que a sua utilização também influencia positivamente o desempenho das HEIs. No terceiro artigo procurou-se identificar os fatores que influenciam a utilização de plataformas de e-learning no contexto académico português, através de um estudo empírico. Recorreu-se a um questionário estruturado como objeto de recolha de informação. Tendo por base 631 respostas válidas, aplicou-se o SEM e podemos concluir que, em concordância com a Teoria da Difusão da inovação (TDI), as caraterísticas das plataformas de e-learning e o Personal Innovativeness in Information Technology (PIIT) influenciam de forma positiva a utilização desta ferramenta. O quarto e último artigo teve por objetivo a identificação e explicação de fatores para o bom funcionamento, implementação e utilização de e-librarys no contexto académico do ensino superior português. Para alcançar o objetivo proposto adotou-se uma abordagem qualitativa, através de um estudo de caso da e-library da Universidade da Beira Interior (UBI). Os dados primários obtiveram-se com recurso a entrevistas ao Staff da Biblioteca, dos Serviços de informática e da Administração desta instituição de ensino, com posições de chefia e envolvidos de forma direta na implementação, manutenção ou utilização da e-library. As evidências empíricas ressaltam a importância para a minimização de custos, nomeadamente, a celebração de protocolos de cooperação, a utilização de software open source e a formação do staff da biblioteca da UBI. A aceitação e utilização da e-library, depende das caraterísticas da plataforma, da facilidade do acesso à informação, de ações de divulgação que deem a conhecer a toda a academia a e-library e as suas funcionalidades e da implementação de User Interfaces (UIs) apelativas e intuitivas. Adicionalmente, a formação de alunos e do staff da biblioteca revelou ser um fator relevante para a aceitação desta ferramenta. De futuro sugere-se a criação de um agregador de pesquisa funcional, que pesquise em simultâneo em todas as bases de dados e crie o menor ruido possível. Esta funcionalidade será possível ser implementada com base em equipas multidisciplinares com as skills adquiridas através de formação especifica. Este estudo teve por base a Resource-Based View (RBV) e a Social Learning Theory (SLT). Neste trabalho de tese, tendo em consideração os quatro estudos desenvolvidos, foi possível sustentar a influência da aceitação de SIs no desempenho das HEIs e averiguar o papel dos SIs no apoio dado à gestão destas instituições, no contexto académico português. Esta investigação apresenta também contributos para a teoria e implicações para a prática, bem como, futuras linhas de investigação acerca da temática em estudo.
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Wege, Christian [Verfasser]. "Automated support for process assessment in test-driven development / vorgelegt von Christian Wege." 2004. http://d-nb.info/972344446/34.
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(8746482), Calvin Yau. "Three-Component Visual Summary: A Design to Support Casual Experts in Making Data-Driven Decisions." Thesis, 2020.
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Recent advancements in data-collecting technologies have posed new opportunities and challenges to making data-driven decisions. While visual analytics can be a powerful tool for exploring large datasets and extracting relevant insights to support data-driven decisions, many decision-makers lack the time or the technical expertise to utilize visual analytics effectively. It is more common for data analysts to explore data through visual analytics and report their findings to the decision-makers. However, the communication gap between data analysts and decision-makers limits the decision-maker's ability to make optimal data-driven decisions. I present a Three-Component Visual Summary to allow accurate and efficient extraction of insights relevant to the decisions and provide context to validate the insights retrieved. The Three-Component Visual Summary design creates visual summaries by combining visual representations of representative data, analytical highlights, and the data envelope. This design incorporates a high-level summary, the relevant analytical insights, and detailed explorations into one coherent visual representation which addresses the potential training gaps and limited available time for visual analytics. I demonstrate how the design can be applied to four major data types commonly used in commercial visual analytics tools. The evaluations prove the design allows more accurate and efficient knowledge retrieval and a more comprehensive understanding of the data and of the insights generated, making it more accessible to decision-makers that are casual experts. Finally, I summarize the insights gained from the design process and the feedback received, and provide a list of recommendations for designing a Three-Component Visual Summary.
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Sarstedt, Stefan [Verfasser]. "Semantic foundation and tool support for model-driven development with UML 2 activity diagrams / Stefan Sarstedt." 2006. http://d-nb.info/99534048X/34.
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Gouveia, António Alexandre Sousa. "Rule-based and user feedback-driven decision support system for transforming automatically-generated alignments into information-integration alignments." Doctoral thesis, 2020. http://hdl.handle.net/10348/9780.
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This work is presented to Universidade de Trás-os-Montes e Alto Douro for
compliance with the requirements for obtaining the degree of Doctor of Philosophy in Computer ScienceA conceção de ontologias é amplamente influenciada pelos conhecimentos e experiências dos autores, sua interpretação do domínio e aplicação alvo, resultando em ontologias distintas. Portanto, quando duas organizações precisam de interagir usando ontologias, não está garantido um entendimento comum do domínio. O alinhamento de ontologias (ou esquemas), como processo de criação de correspondências entre entidades de duas ontologias (ou esquemas) diferentes, é visto como uma solução para ultrapassar as heterogeneidades encontradas. Apesar da existência de algoritmos de alinhamento automático, estes geram alinhamentos incompletos, incorretos e contraditórios, o que impede a sua aplicação direta em cenários de interoperabilidade baseada em ontologias. De facto, os resultados obtidos com os sistemas de alinhamento automático encontram-se abaixo do exigido por algumas tarefas de mediação de ontologias, tal como consulta e transformação de dados entre sistemas, exigindo por isso a intervenção do perito. O objetivo deste trabalho é o de propor um método que auxilie o perito a corrigir e completar os alinhamentos gerados automaticamente de modo a obter alinhamentos capazes de suportar a integração de informação. O processo de corrigir e completar os alinhamentos consiste em identificar e resolver os cenários de alinhamento que necessitam de uma decisão contextualizada, semântica e muitas vezes baseada no ser-humano: aceitar ou rejeitar correspondências. Como as decisões influenciam outros cenários, tanto as decisões de aceitação como as de rejeição de correspondências são consideradas no processo, influenciando e ajudando a resolver outros cenários. Para isso, são definidas regras que capturam as condições nas quais uma correspondência requer uma decisão do ser-humano. Propõe-se um Sistema de Apoio à Decisão (SAD) que aplica essas regras de modo a reduzir o número de decisões do utilizador, (i) permitindo diferentes níveis de participação (variando de automático a dependente do utilizador) e (ii) propagando as decisões a outras situações. Para proporcionar uma prova de conceito para a arquitetura, bem como para realizar experiências, é desenhado e implementado um protótipo que incorpora a investigação teórica e que oferece uma interface gráfica intuitiva e fácil de usar na tomada de decisão. O protótipo é ainda aplicado a um caso de negócio. A avaliação do protótipo é realizada utilizando conjuntos de dados disponíveis on-line e os resultados das experiências são avaliados qualitativamente através de métricas analíticas padrão. As experiências mostram que os resultados obtidos com o Sistema de Apoio à Decisão melhoram (i) independentemente do modo de operação e (ii) à medida que a participação do perito no processo aumenta.
The design of ontologies is largely influenced by the ontology designers’ backgrounds, their interpretation of the domain and targeting application. For that reason, when two organizations adopting ontologies need to interact, a common understanding of the domain is not guaranteed due to the heterogeneity of their ontologies. Ontology (or schema) matching, as a process of establishing correspondences between entities of two different ontologies (or schemas), known as alignment, is seen as a solution in overcoming the heterogeneities that are found. Despite the existence of automatic matching algorithms, they generate incomplete, incorrect and contradictory alignments; preventing their direct application in ontology-based interoperability scenarios. In fact, the ontology matching results obtained with automatic systems are below the requirement for certain ontology mediation tasks, such as query and data transformation between systems; thus, it requires the expert intervention. The goal of this work is to propose a method that assists the expert in correcting and completing automatically-generated alignments, towards information-integration suitable alignments. The correction and completion process consists in identifying and resolving the matching scenarios that need a contextualized, semantic and often human-based decision: accepting or rejecting correspondences. Because the decisions have influence in other scenarios, both the acceptance and rejection correspondence decisions are considered in the process, influencing and helping in resolving other scenarios. For that, declarative rules are defined in order to capture the conditions in which a correspondence requires a human-based decision A rule-based Decision Support System (DSS) applies these rules in order to reduce the number of user decisions, both by (i) allowing different participation levels (ranging from automatic to humandependent) and (ii) propagating the decisions to other situations. To provide a proof of concept for the architecture, as well as a testbed for the experiments, a working prototype that embodies the theoretical research is designed and implemented, offering an intuitive, easy to use and clear graphical interface, to assist the users deciding. The prototype is also applied to a business case. The prototype evaluation is performed using available online data sets and the experiment results are evaluated qualitatively through standard analytical metrics. The experiments show that the accuracy attained with the DSS improves (i) regardless of the operation mode and (ii) as the participation of the expert in the process increases.
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Abormegah, Jude Edem, and Tarik Dashti Bahadin. "Transitioning Business Intelligence from reactive to proactive decision-making systems : A qualitive usability study based on Technology Acceptance Model." Thesis, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25429.
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Nowadays companies are in a dynamic environment leading to competition in finding new revenue streams to strengthen their positions in their markets by using new technologies to provide capabilitiesto organize resources whilst taking into account changes that can occur in their environment. Therefore, decision making is inevitable to combat uncertainties where taking the optimal action by leveraging concepts and technologies that support decision making such as Business Intelligence (BI)tools and systems could determine a company’s future. Companies can optimize their decision making with BI features like Data-Driven Alerts that sends messages when fluctuations occur within a supervised threshold that reflects the state of business operations. The purpose of this research was to conduct an empirical study on how Swedish companies and enterprises located in different industries apply BI tools and with Data-driven Alerts features for decision making whereby we further studied the characteristics of Data-driven Alerts in terms of usability from the perspectives of different industry professionals through the thematic lens of the Technology acceptance model (TAM) in a qualitative approach. We conducted interviews with professionals from diverse organizations where we applied the Thematic Coding technique on empirical results for further analysis. We found out that by allowing possibilities for users to analyze data in their own preferences for decisions, it will provide managers and leaders with sufficient information needed to empower strategic and tactical decision-making. Despite the emergence of state-of-the-art predictive analytics technologies such as Machine Learning and AI, the literature clearly states that these processes are technical and complex to be comprehended by the decision maker. At the end of the day, prescriptive analytics will end up providing descriptive options being presented to the end user as we move towards automated decision making. This we see as an opportunity for reporting tools and data-driven alerts to be in contemporary symbiotic relationship with advanced analytics in decision making contexts to improve its outcome, quality and user friendliness.
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Sivarajah, Uthayasankar, Habin Lee, Zahir Irani, and Vishanth J. P. Weerakkody. "Fostering Smart Cities through ICT Driven Policy-Making: Expected Outcomes and Impacts of DAREED Project." 2014. http://hdl.handle.net/10454/14082.
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YesThe concept of smart city is emerging as a key strategy to tackle the problems generated by the urban population growth and rapid development. It is widely recognised that Information and Communications Technology (ICT) play a key role in addressing some of the urban societal challenges such as improving energy efficiency and reducing carbon emissions. Although there are various ICT tools providing intelligence and services relating to energy consumption and monitoring processes, they mostly tend to work in isolation. Therefore, this paper presents the outcomes and impacts of the concept of DAREED which aims to deliver an integrated ICT service platform to drive energy efficiency and low carbon activities at neighbourhood, city and district levels. Furthermore, the research highlights the need for ICT-driven policy making using platforms such as DAREED in the context of e-Government. This paper contributes to the current understandings of e-Government literature in terms of how ICT can help public authorities and stakeholders such as policy makers to achieve and drive energy efficiency. From a practical stance, the paper offers valuable insights to public administrations on how ICT can be used to address pressing societal challenges such as efficient energy use and facilitate better policy making.
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Memmel, Thomas [Verfasser]. "User interface specification for interactive software systems : process-, method- and tool-support for interdisciplinary and collaborative requirements modelling and prototyping-driven user interface specification / vorgelegt von Thomas Memmel." 2009. http://d-nb.info/994257430/34.
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Maghsoud-Lou, Ehsan. "Integrating Protocol-driven Decision Support within E-Referral System: Supporting Primary Care Practitioners for Spinal Care Consultation and Triaging." 2014. http://hdl.handle.net/10222/50390.
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Referrals to the Halifax Infirmary Neurosurgery Department are submitted with regards to spinal conditions with different degrees of complications. Although there exists a Spinal Condition Consultation Protocol to standardize spinal referrals, the information provided from referring physicians is frequently inadequate to accurately triage the patient's condition, partly due to missing diagnostic therapies. The Neurosurgery Department receives a high volume of referrals each year, which imposes a significant administrative workload on the staff.
We propose to develop a protocol-driven decision support system to: 1) Provide primary care physicians with timely access to condition specific consultation treatment protocols; and 2) Automate the referral assessment process to eliminate processing delays and administration burden. To this aim, we transformed the Consultation Protocol into a semantic knowledgebase. The decision support services are integrated within a standardized electronic referral system. We believe this system can significantly improve the referral process at the Neurosurgery Division.
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(8921381), Ali Lenjani. "Developing Artificial Intelligence-Based Decision Support for Resilient Socio-Technical Systems." Thesis, 2020.
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During 2017 and 2018, two of the costliest years on record regarding natural disasters, the U.S. experienced 30 events with total losses of $400 billion. These exuberant costs arise primarily from the lack of adequate planning spanning the breadth from pre-event preparedness to post-event response. It is imperative to start thinking about ways to make our built environment more resilient. However, empirically-calibrated and structure-specific vulnerability models, a critical input required to formulate decision-making problems, are not currently available. Here, the research objective is to improve the resilience of the built environment through an automated vision-based system that generates actionable information in the form of probabilistic pre-event prediction and post-event assessment of damage. The central hypothesis is that pre-event, e.g., street view images, along with the post-event image database, contain sufficient information to construct pre-event probabilistic vulnerability models for assets in the built environment. The rationale for this research stems from the fact that probabilistic damage prediction is the most critical input for formulating the decision-making problems under uncertainty targeting the mitigation, preparedness, response, and recovery efforts. The following tasks are completed towards the goal.
First, planning for one of the bottleneck processes of the post-event recovery is formulated as a decision making problem considering the consequences imposed on the community (module 1). Second, a technique is developed to automate the process of extracting multiple street-view images of a given built asset, thereby creating a dataset that illustrates its pre-event state (module 2). Third, a system is developed that automatically characterizes the pre-event state of the built asset and quantifies the probability that it is damaged by fusing information from deep neural network (DNN) classifiers acting on pre-event and post-event images (module 3). To complete the work, a methodology is developed to enable associating each asset of the built environment with a structural probabilistic vulnerability model by correlating the pre-event structure characterization to the post-event damage state (module 4). The method is demonstrated and validated using field data collected from recent hurricanes within the US.
The vision of this research is to enable the automatic extraction of information about exposure and risk to enable smarter and more resilient communities around the world.
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Sharma, Govind. "Sentiment-Driven Topic Analysis Of Song Lyrics." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2472.
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Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided into Opinion Mining and Emotion Analysis, the latter of which is the basis for the present work. Work on songs is aimed at building affective interactive applications such as music recommendation engines. Using song lyrics, we are interested in both supervised and unsupervised analyses, each of which has its own pros and cons.
For an unsupervised analysis (clustering), we use a standard probabilistic topic model called Latent Dirichlet Allocation (LDA). It mines topics from songs, which are nothing but probability distributions over the vocabulary of words. Some of the topics seem sentiment-based, motivating us to continue with this approach. We evaluate our clusters using a gold dataset collected from an apt website and get positive results. This approach would be useful in the absence of a supervisor dataset.
In another part of our work, we argue the inescapable existence of supervision in terms of having to manually analyse the topics returned. Further, we have also used explicit supervision in terms of a training dataset for a classifier to learn sentiment specific classes. This analysis helps reduce dimensionality and improve classification accuracy. We get excellent dimensionality reduction using Support Vector Machines (SVM) for feature selection. For re-classification, we use the Naive Bayes Classifier (NBC) and SVM, both of which perform well. We also use Non-negative Matrix Factorization (NMF) for classification, but observe that the results coincide with those of NBC, with no exceptions. This drives us towards establishing a theoretical equivalence between the two.