Ventricular rate during acute atrial fibrillation and outcome of electrical cardioversion: The FinCV Study

The impact of ventricular rate (VR) on the outcome of electrical cardioversion (ECV) of acute atrial fibrillation (AF) is currently unknown. We aimed to determine the effect of VR during acute AF on the success of ECV, recurrence of AF and occurrence of post-cardioversion complications in 30 days follow-up. All ECVs performed in patients with acute atrial fibrillation lasting <48 hours in 2 Finnish university hospitals during 2003-2010 and 1 central hospital during 2010 were retrospectively identified. A total of 6,624 ECVs were performed in 2,821 consecutive patients. VR≤60 BPM was defined low and VR≥160 BPM high. The median VR before ECV was 109 BPM. The success rate of ECV was 94.2%. Bradycardia occurred in 62 (0.9%) and thromboembolic complications in 39 (0.6%) ECVs. Low VR was observed before 75 (1.1%) ECVs and male sex was its only independent predictor. High VR was observed in 165 (2.5%) ECVs. The independent predictors of high VR were younger age, <12 h episode duration, no previous history of AF and alcohol abuse. Low or high VR were not related to the success of ECV, incidence of thromboembolic or bradycardic complications, or recurrence of AF, although VR was significantly (p<0.001) lower in the patients in whom AF recurred. In conclusion, ECV of acute AF is an effective procedure and VR during AF does not affect its efficacy, the maintenance of sinus rhythm or the incidence of bradycardic, thromboembolic or other complications during 30 days follow-up after ECV. Low VR is predominately observed in male patients, while high VR was a feature related to a shorter history of AF and high alcohol-intake.

Applying software performance engineering methods to development of IT device management systems

Ohjelmiston suorituskyky on kokonaisvaltainen asia, johon kaikki ohjelmiston elinkaaren vaiheet vaikuttavat. Suorituskykyongelmat johtavat usein projektien viivästymisiin, kustannusten ylittymisiin sekä joissain tapauksissa projektin täydelliseen epäonnistumiseen. Software performance engineering (SPE) on ohjelmistolähtöinen lähestysmistapa, joka tarjoaa tekniikoita suorituskykyisen ohjelmiston kehittämiseen. Tämä diplomityö tutkii näitä tekniikoita ja valitsee niiden joukosta ne, jotka soveltuvat suorituskykyongelmien ratkaisemiseen kahden IT-laitehallintatuotteen kehityksessä. Työn lopputuloksena on päivitetty versio nykyisestä tuotekehitysprosessista, mikä huomioi sovellusten suorituskykyyn liittyvät haasteet tuotteiden elinkaaren eri vaiheissa.

Tuotetiedon muutoshallinta materiaalinkäsittelylaitteiden toimitusprosessissa

Tässä diplomityössä käsitellään tuotetiedon muutoshallintaa valmistavassa teollisuudessa. Työn tavoitteena oli kehittää tuotetiedon muutoshallintamalli materiaalinkäsittelytoimialalla toimivan kohdeyrityksen käyttöön, huomioiden mahdollinen tuotetiedonhallintasovelluksen integraatio. Tutkimus toteutettiin laadullisena tutkimuksena. Kirjallisuuskatsauksessa keskityttiin tuotetiedonhallinnan muutostarpeisiin, haasteisiin ja muutoshallintamalleihin. Tutkimuksen empiirisen osan tieto kerättiin hyödyntäen puolistrukturoituja haastatteluita. Tutkimuksen keskeisenä tuloksena esitettiin muutoshallintamalli ja tuotetiedonhallintasovelluksen integroitavuus kuvattuun muutoshallintamalliin. Mallin toimivuutta ja kehitystä nykyiseen toimintatapaan arvioitiin prosessin suorituskykymittauksella.

Data and Inventory Management in Spare Part Business: Developing Operations in the Case Company

After sales business is an effective way to create profit and increase customer satisfaction in manufacturing companies. Despite this, some special business characteristics that are linked to these functions, make it exceptionally challenging in its own way. This Master’s Thesis examines the current situation of the data and inventory management in the case company regarding possibilities and challenges related to the consolidation of current business operations. The research examines process steps, procedures, data requirements, data mining practices and data storage management of spare part sales process, whereas the part focusing on inventory management is reviewing the current stock value and examining current practices and operational principles. There are two global after sales units which supply spare parts and issues reviewed in this study are examined from both units’ perspective. The analysis is focused on the operations of that unit where functions would be centralized by default, if change decisions are carried out. It was discovered that both data and inventory management include clear shortcomings, which result from lack of internal instructions and established processes as well as lack of cooperation with other stakeholders related to product’s lifecycle. The main product of data management was a guideline for consolidating the functions, tailored for the company’s needs. Additionally, potentially scrapped spare part were listed and a proposal of inventory management instructions was drafted. If the suggested spare part materials will be scrapped, stock value will decrease 46 percent. A guideline which was reviewed and commented in this thesis was chosen as the basis of the inventory management instructions.

GIS-based approach for optimization of onshore wind park infrastructure alignment in Finland

Wind power is a rapidly developing, low-emission form of energy production. In Fin-land, the official objective is to increase wind power capacity from the current 1 005 MW up to 3 500–4 000 MW by 2025. By the end of April 2015, the total capacity of all wind power project being planned in Finland had surpassed 11 000 MW. As the amount of projects in Finland is record high, an increasing amount of infrastructure is also being planned and constructed. Traditionally, these planning operations are conducted using manual and labor-intensive work methods that are prone to subjectivity. This study introduces a GIS-based methodology for determining optimal paths to sup-port the planning of onshore wind park infrastructure alignment in Nordanå-Lövböle wind park located on the island of Kemiönsaari in Southwest Finland. The presented methodology utilizes a least-cost path (LCP) algorithm for searching of optimal paths within a high resolution real-world terrain dataset derived from airborne lidar scannings. In addition, planning data is used to provide a realistic planning framework for the anal-ysis. In order to produce realistic results, the physiographic and planning datasets are standardized and weighted according to qualitative suitability assessments by utilizing methods and practices offered by multi-criteria evaluation (MCE). The results are pre-sented as scenarios to correspond various different planning objectives. Finally, the methodology is documented by using tools of Business Process Management (BPM). The results show that the presented methodology can be effectively used to search and identify extensive, 20 to 35 kilometers long networks of paths that correspond to certain optimization objectives in the study area. The utilization of high-resolution terrain data produces a more objective and more detailed path alignment plan. This study demon-strates that the presented methodology can be practically applied to support a wind power infrastructure alignment planning process. The six-phase structure of the method-ology allows straightforward incorporation of different optimization objectives. The methodology responds well to combining quantitative and qualitative data. Additional-ly, the careful documentation presents an example of how the methodology can be eval-uated and developed as a business process. This thesis also shows that more emphasis on the research of algorithm-based, more objective methods for the planning of infrastruc-ture alignment is desirable, as technological development has only recently started to realize the potential of these computational methods.

Strategic divide management in pharmaceutical alliances: A partner’s strategic evolution as a reason for strategic divide

Strategic alliances are widely used in the pharmaceutical industry and, ideally, they are long-lasting structures that bring many benefits and value to the alliance partners. However, organizations continuously encounter pressures to enhance performance, while the environment in which they operate evolves. Therefore, an alliance partner might be forced to change its strategy, which can lead to the partners’ misaligned priorities and strategic divide. The academic literature acknowledges the impact a partner’s strategic change can have on the value of the alliance, but the phenomenon is not studied further, which is why the purpose of this study is to understand the role that a partner’s strategic evolution plays in strategic alliances within the pharmaceutical industry. The main purpose is further divided into three sub-objectives: 1) Describe reasons behind the strategic direction change of a partner firm, 2) Understand the consequences of partners’ misaligned priorities, and 3) Describe proactive and reactive ways to manage strategic divide between alliance partners. Since the phenomenon is not studied much, the empirical part of the study was conducted as a qualitative analysis using expert interviews to better understand, how the partner’s strategic evolution affects the alliance. The empirical data was organized into themes, according to the researcher’s interpretations on the interviews. The research findings demonstrated, how the partners change their strategies if the external or organizational environments change. The strategic changes, again, cause strategic divides between the alliance partners that are likely to have an impact on the alliance value. The findings revealed that the interviewees consider anticipation of the partner’s strategic change to be really difficult, but, at the same time, it was noted that a proactive strategic divide management could help to prevent and detect some divides. Additionally, the results showed that, after the detection, a reactive approach in a controlled manner was seen to be the most beneficial for the alliance’s future performance. This study proved that a partner’s strategic evolution affects the partners’ priority alignment and alliance value, which is why the strategic divide management is important in organizations that are involved with strategic alliances. In order to understand the role of a partner’s strategic evolution and provide managers with a tool to manage alliances and strategic divides, the study combined the alliance lifecycle as well as the proactive and reactive approaches to strategic divide, and presented a framework for strategic divide management.

Early investigation towards defining and measuring sustainability as a quality attribute in software systems

Sustainability in software system is still a new practice that most software developers and companies are trying to incorporate into their software development lifecycle and has been largely discussed in academia. Sustainability is a complex concept viewed from economic, environment and social dimensions with several definitions proposed making sometimes the concept of sustainability very fuzzy and difficult to apply and assess in software systems. This has hindered the adoption of sustainability in the software industry. A little research explores sustainability as a quality property of software products and services to answer questions such as; How to quantify sustainability as a quality construct in the same way as other quality attributes such as security, usability and reliability? How can it be applied to software systems? What are the measures and measurement scale of sustainability? The Goal of this research is to investigate the definitions, perceptions and measurement of sustainability from the quality perspective. Grounded in the general theory of software measurement, the aim is to develop a method that decomposes sustainability in factors, criteria and metrics. The Result is a method to quantify and access sustainability of software systems while incorporating management and users concern. Conclusion: The method will empower the ability of companies to easily adopt sustainability while facilitating its integration to the software development process and tools. It will also help companies to measure sustainability of their software products from economic, environmental, social, individual and technological dimension.

Developing smart services by Internet of Things in manufacturing business

Manufacturing companies have passed from selling uniquely tangible products to adopting a service-oriented approach to generate steady and continuous revenue streams. Nowadays, equipment and machine manufacturers possess technologies to track and analyze product-related data for obtaining relevant information from customers’ use towards the product after it is sold. The Internet of Things on Industrial environments will allow manufacturers to leverage lifecycle product traceability for innovating towards an information-driven services approach, commonly referred as “Smart Services”, for achieving improvements in support, maintenance and usage processes. The aim of this study is to conduct a literature review and empirical analysis to present a framework that describes a customer-oriented approach for developing information-driven services leveraged by the Internet of Things in manufacturing companies. The empirical study employed tools for the assessment of customer needs for analyzing the case company in terms of information requirements and digital needs. The literature review supported the empirical analysis with a deep research on product lifecycle traceability and digitalization of product-related services within manufacturing value chains. As well as the role of simulation-based technologies on supporting the “Smart Service” development process. The results obtained from the case company analysis show that the customers mainly demand information that allow them to monitor machine conditions, machine behavior on different geographical conditions, machine-implement interactions, and resource and energy consumption. Put simply, information outputs that allow them to increase machine productivity for maximizing yields, save time and optimize resources in the most sustainable way. Based on customer needs assessment, this study presents a framework to describe the initial phases of a “Smart Service” development process, considering the requirements of Smart Engineering methodologies.

Developing strategies to mitigate the energy consumed by network infrastructures

The energy consumption by ICT (Information and Communication Technology) equipment is rapidly increasing which causes a significant economic and environmental problem. At present, the network infrastructure is becoming a large portion of the energy footprint in ICT. Thus the concept of energy efficient or green networking has been introduced. Now one of the main concerns of network industry is to minimize energy consumption of network infrastructure because of the potential economic benefits, ethical responsibility, and its environmental impact. In this paper, the energy management strategies to reduce the energy consumed by network switches in LAN (Local Area Network) have been developed. According to the lifecycle assessment of network switches, during usage phase, the highest amount of energy consumed. The study considers bandwidth, link load and traffic matrixes as input parameters which have the highest contribution in energy footprint of network switches during usage phase and energy consumption as output. Then with the objective of reducing energy usage of network infrastructure, the feasibility of putting Ethernet switches hibernate or sleep mode was investigated. After that, the network topology was reorganized using clustering method based on the spectral approach for putting network switches to hibernate or switched off mode considering the time and communications among them. Experimental results show the interest of this approach in terms of energy consumption