Evaluation of the determinism of the actuator sensor interface (ASI) on programmable logic controllers (PLC), personal computers (PC) and real-time operating systems (RTOS)

The purpose of this study was to evaluate the determinism of the AS-lnterface network and the 3 main families of control systems, which may use it, namely PLC, PC and RTOS. During the course of this study the PROFIBUS and Ethernet field level networks were also considered in order to ensure that they would not introduce unacceptable latencies into the overall control system. This research demonstrated that an incorrectly configured Ethernet network introduces unacceptable variable duration latencies into the control system, thus care must be exercised if the determinism of a control system is not to be compromised. This study introduces a new concept of using statistics and process capability metrics in the form of CPk values, to specify how suitable a control system is for a given control task. The PLC systems, which were tested, demonstrated extremely deterministic responses, but when a large number of iterations were introduced in the user program, the mean control system latency was much too great for an AS-I network. Thus the PLC was found to be unsuitable for an AS-I network if a large, complex user program Is required. The PC systems, which were tested were non-deterministic and had latencies of variable duration. These latencies became extremely exaggerated when a graphing ActiveX was included in the control application. These PC systems also exhibited a non-normal frequency distribution of control system latencies, and as such are unsuitable for implementation with an AS-I network. The RTOS system, which was tested, overcame the problems identified with the PLC systems and produced an extremely deterministic response, even when a large number of iterations were introduced in the user program. The RTOS system, which was tested, is capable of providing a suitable deterministic control system response, even when an extremely large, complex user program is required.

A Clinical Decision Support using a Terminology Server to improve Patient Safety.

Clinical Decision Support Systems (CDSS) are software applications that support clinicians in making healthcare decisions providing relevant information for individual patients about their specific conditions. The lack of integration between CDSS and Electronic Health Record (EHR) has been identified as a significant barrier to CDSS development and adoption. Andalusia Healthcare Public System (AHPS) provides an interoperable health information infrastructure based on a Service Oriented Architecture (SOA) that eases CDSS implementation. This paper details the deployment of a CDSS jointly with the deployment of a Terminology Server (TS) within the AHPS infrastructure. It also explains a case study about the application of decision support to thromboembolism patients and its potential impact on improving patient safety. We will apply the inSPECt tool proposal to evaluate the appropriateness of alerts in this scenario.

Centralized password management in a global enterprise

Käyttäjien tunnistaminen tietojärjestelmissä on ollut yksi tietoturvan kulmakivistä vuosikymmenten ajan. Ajatus käyttäjätunnuksesta ja salasanasta on kaikkein kustannustehokkain ja käytetyin tapa säilyttää luottamus tietojärjestelmän ja käyttäjien välillä. Tietojärjestelmien käyttöönoton alkuaikoina, jolloin yrityksissä oli vain muutamia tietojärjestelmiä ja niitä käyttivät vain pieni ryhmä käyttäjiä, tämä toimintamalli osoittautui toimivaksi. Vuosien mittaan järjestelmien määrä kasvoi ja sen mukana kasvoi salasanojen määrä ja monimuotoisuus. Kukaan ei osannut ennustaa, kuinka paljon salasanoihin liittyviä ongelmia käyttäjät kohtaisivat ja kuinka paljon ne tulisivat ruuhkauttamaan yritysten käyttäjätukea ja minkälaisia tietoturvariskejä salasanat tulisivat aiheuttamaan suurissa yrityksissä. Tässä diplomityössä tarkastelemme salasanojen aiheuttamia ongelmia suuressa, globaalissa yrityksessä. Ongelmia tarkastellaan neljästä eri näkökulmasta; ihmiset, teknologia, tietoturva ja liiketoiminta. Ongelmat osoitetaan esittelemällä tulokset yrityksen työntekijöille tehdystä kyselystä, joka toteutettiin osana tätä diplomityötä. Ratkaisu näihin ongelmiin esitellään keskitetyn salasanojenhallintajärjestelmän muodossa. Järjestelmän eri ominaisuuksia arvioidaan ja kokeilu -tyyppinen toteutus rakennetaan osoittamaan tällaisen järjestelmän toiminnallisuus.

Sovellusintegraation toteutus pk-yrityksen projektijärjestelmiin

Tässä diplomityössä käydään läpi lähestymistapoja sovellusintegraatioon ja niiden käyttöä yritysmaailmassa. Sovellusintegraatiolla tarkoitetaan prosessia jolla yhdistetään toimintoja tai tietoa kahdesta tai useammasta sovelluksesta ja luodaan yhtenäinen kokonaisuus toiminnallisuuksia tai tietoa. Sovellusintegraation toteuttamiseksi on olemassa erilaisia lähestymistapoja ja menetelmiä. Näillä prosesseilla pyritään linkittämään kaksi tai useampia sovelluksia toisiinsa. Sovellusintegraation avulla saadaan jo olemassa olevista järjestelmistä tietoa, pystytään hyödyntämään elektronista kaupankäyntiä, saadaan integroituja toimitusketjuja, ja saadaan jaettua tarpeelliset prosessit. Sovellusintegraatio on strateginen lähestymistapa monen tietojärjestelmän yhteensitomiseksi. Tietojen vaihto ja reaaliaikainen toiminta on tärkeää. Sovellusintegraation tuloksena käytettävissä oleva informaatio ja prosessit sisäisten- ja ulkoisten systeemien välillä tuottavat selkeää strategista etua. Työssä toteutettiin kohdeyritykselle järjestelmä jonka avulla voidaan siirtää työtunnit projektinhallintajärjestelmästä taloushallinnon järjestelmään.

Mitigating uncertainty in logistics outsourcing with ERP systems

Outsourcing is a common strategy for companies looking for cost savings and improvements in performance. This has been especially prevalent in logistics, where warehousing and transporting are typical targets for outsourcing. However, while the benefits from logistics outsourcing are clear on paper, there are several cases companies fail to reach these benefits. The most commonly cited reasons for this are poor information flow between the company and the third party logistics partner, and a lack of integration between the two partners. Uncertainty stems from lack of information, and it can cripple the whole outsourcing operation. This is where enterprise resource planning (ERP) systems step in, as they can have a significant role in improving the flow of information, and integration, which consequently mitigates uncertainty. The purpose of the study is to examine if ERP systems have an effect on a company's decision to outsource logistics operations. Along the rapid advancements in technology during the past decades, ERP systems have also evolved. Therefore, empirical research on the subject needs constant revision as it can quickly become outdated due to ERP systems having more advanced capabilities every year. The research was conducted using a qualitative single-case study of a Finnish manufacturing firm that had outsourced warehousing and transportation operations in the Swedish market. The empirical data was gathered with use of semi-structured interviews with three employees from the case company that were closely related to the outsourcing operation. The theoretical framework that was used to analyze the empirical data was based on Transaction Cost Economics theory. The results of the study were align with the theoretical framework, in that the ERP system of the case company was seen as an enabler for their logistics outsourcing operation. However, the full theoretical benefits from ERP systems concerning extended enterprise functionality and flexibility were not attained due to the case company having an older version of their ERP system. This emphasizes the importance of having up-to-date technology if you want to overcome the shortcomings of ERP systems in outsourcing situations.

A Survey about Integration of Journal Systems with Repositories in Brazil

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

Replacing traditional ERP with EAI - the next generation’s ERP

Organizations often consider investing in a new Enterprise Resource Planning (ERP) system as a way to enhance their business processes, as it allows integrating information used by multiple different departments into a harmonized computing system. The hope of gaining significant business benefits, such as reducing operating costs, is the key reason why organizations have decided to invest in ERP systems since 1990’s. Still, all ERP projects do not end up in success, and deployment of ERP system does not necessarily guarantee the results people were waiting for. This research studies why organizations invest in ERP, but also what downsides ERP projects currently have. Additionally Enterprise Application Integrations (EAI) as next generation’s ERP solutions are studied to challenge and develop traditional ERP. The research questions are: What are the weaknesses in traditional ERP deployment in today’s business? How does the proposed next generation’s ERP answer to these weaknesses? At the beginning of the thesis, as an answer to the first research question, the basics of ERP implementation are introduced with both the pros and cons of investing in ERP. Key concepts such as IS integration and EAI are also studied. Empirical section of the thesis focuses on answering the second research question from the integration approach. A qualitative research is executed by interviewing five experienced IT professionals about EAI benefits, limitations, and problems. The thematic interview and questionnaire follow the presented ERP main elements from literature. The research shows that adopting traditional ERP includes multiple downsides, e.g. inflexibility and requiring big investments in terms of money. To avoid these critical issues, organizations could find a solution from integrations between their current IS. Based on the empirical study a new framework for the next generation’s ERP is created, consisting of a model and a framework that deal with various features regarding IS adoption. With this framework organizations can assess whether they should implement EAI or ERP. The model and framework suggest that there are multiple factors IT managers needs to consider when planning their IT investments, including their current IS, role of IT in the organization, as well as new system’s flexibility, investment level, and number of vendors. The framework created in the thesis encourages IT management to assess holistically their i) organization, ii) its IT, and iii) solution requirements in order to determine what kind of IS solution would suit their needs the best.

Replacing traditional ERP with EAI - the next generation’s ERP

Organizations often consider investing in a new Enterprise Resource Planning (ERP) system as a way to enhance their business processes, as it allows integrating information used by multiple different departments into a harmonized computing system. The hope of gaining significant business benefits, such as reducing operating costs, is the key reason why organizations have decided to invest in ERP systems since 1990’s. Still, all ERP projects do not end up in success, and deployment of ERP system does not necessarily guarantee the results people were waiting for. This research studies why organizations invest in ERP, but also what downsides ERP projects currently have. Additionally Enterprise Application Integrations (EAI) as next generation’s ERP solutions are studied to challenge and develop traditional ERP. The research questions are: What are the weaknesses in traditional ERP deployment in today’s business? How does the proposed next generation’s ERP answer to these weaknesses? At the beginning of the thesis, as an answer to the first research question, the basics of ERP implementation are introduced with both the pros and cons of investing in ERP. Key concepts such as IS integration and EAI are also studied. Empirical section of the thesis focuses on answering the second research question from the integration approach. A qualitative research is executed by interviewing five experienced IT professionals about EAI benefits, limitations, and problems. The thematic interview and questionnaire follow the presented ERP main elements from literature. The research shows that adopting traditional ERP includes multiple downsides, e.g. inflexibility and requiring big investments in terms of money. To avoid these critical issues, organizations could find a solution from integrations between their current IS. Based on the empirical study a new framework for the next generation’s ERP is created, consisting of a model and a framework that deal with various features regarding IS adoption. With this framework organizations can assess whether they should implement EAI or ERP. The model and framework suggest that there are multiple factors IT managers needs to consider when planning their IT investments, including their current IS, role of IT in the organization, as well as new system’s flexibility, investment level, and number of vendors. The framework created in the thesis encourages IT management to assess holistically their i) organization, ii) its IT, and iii) solution requirements in order to determine what kind of IS solution would suit their needs the best.

" Nonlinear Signal Processing of Electroencephalogram .' Application in the Study of Neurodynamics. "

Interfacings of various subjects generate new field ofstudy and research that help in advancing human knowledge. One of the latest of such fields is Neurotechnology, which is an effective amalgamation of neuroscience, physics, biomedical engineering and computational methods. Neurotechnology provides a platform to interact physicist; neurologist and engineers to break methodology and terminology related barriers. Advancements in Computational capability, wider scope of applications in nonlinear dynamics and chaos in complex systems enhanced study of neurodynamics. However there is a need for an effective dialogue among physicists, neurologists and engineers. Application of computer based technology in the field of medicine through signal and image processing, creation of clinical databases for helping clinicians etc are widely acknowledged. Such synergic effects between widely separated disciplines may help in enhancing the effectiveness of existing diagnostic methods. One of the recent methods in this direction is analysis of electroencephalogram with the help of methods in nonlinear dynamics. This thesis is an effort to understand the functional aspects of human brain by studying electroencephalogram. The algorithms and other related methods developed in the present work can be interfaced with a digital EEG machine to unfold the information hidden in the signal. Ultimately this can be used as a diagnostic tool.

Memory Hierarchy Hardware-Software Co-design in Embedded Systems

The memory hierarchy is the main bottleneck in modern computer systems as the gap between the speed of the processor and the memory continues to grow larger. The situation in embedded systems is even worse. The memory hierarchy consumes a large amount of chip area and energy, which are precious resources in embedded systems. Moreover, embedded systems have multiple design objectives such as performance, energy consumption, and area, etc. Customizing the memory hierarchy for specific applications is a very important way to take full advantage of limited resources to maximize the performance. However, the traditional custom memory hierarchy design methodologies are phase-ordered. They separate the application optimization from the memory hierarchy architecture design, which tend to result in local-optimal solutions. In traditional Hardware-Software co-design methodologies, much of the work has focused on utilizing reconfigurable logic to partition the computation. However, utilizing reconfigurable logic to perform the memory hierarchy design is seldom addressed. In this paper, we propose a new framework for designing memory hierarchy for embedded systems. The framework will take advantage of the flexible reconfigurable logic to customize the memory hierarchy for specific applications. It combines the application optimization and memory hierarchy design together to obtain a global-optimal solution. Using the framework, we performed a case study to design a new software-controlled instruction memory that showed promising potential.

SAP: Ensamblado a la medida de GM Colmotores

Los sistemas y las tecnologías de información son un elemento vital de las organizaciones exitosas. Por eso constituyen un área esencial de estudio en la administración y dirección de un negocio. Actualmente, la investigación sobre la TI y el desempeño de negocios ha descubierto que cuanto más tenga éxito una empresa para alinear la tecnología de la información con sus objetivos de negocios, mayor será su rentabilidad, y solo una cuarta parte de las empresas logran una alineación entre la TI y los negocios (Luffman, 2003) Esta fuerte tendencia ha tenido un auge interesante en compañías colombianas de todos los tamaños y sectores de la economía; por esta razón hemos buscado abordar una compañía colombiana de talla internacional para describir el proceso de implementación de su sistema de gestión de recursos empresariales (ERP) SAP ECC y su integración dentro de General Motors Colmotores; principalmente con el fin de realizar un análisis del uso que la compañía le está dando a los principales módulos y sub-módulos de contabilidad, ventas y compras de SAP. Este proyecto es muy pertinente especialmente para todos aquellos estudiantes e interesados en el uso y aprovechamiento de los sistemas de información de una compañía, por lo cual se sintetizara la experiencia durante su preparación para la implementación, el desarrollo de la misma y los principales resultados, percibidos por los empleados directamente involucrados, los cuales serán abordados por medio de visitas programadas y entrevistas a profundidad; esto facilitara y permitirá evidenciar de cerca la realidad de la compañía General Motors Colmotores con SAP.

Analysis of the dominant enterprise information assurance mechanisms

The purpose of this study is to analyse current data continuity mechanisms employed by the target group of businesses and to identify any inadequacies in the mechanisms as a whole. The questionnaire responses indicate that 47% of respondents do perceive backup methodologies as important, with a total of 70% of respondents having some backup methodology already in place. Businesses in Moulton Park perceive the loss of data to have a significant effect upon their business’ ability to function. Only 14% of respondents indicated that loss of data on computer systems would not affect their business at all, with 54% of respondents indicating that there would be either a “major effect” (or greater) on their ability to operate. Respondents that have experienced data loss were more likely to have backup methodologies in place (53%) than respondents that had not experienced data loss (18%). Although the number of respondents clearly affected the quality and conclusiveness of the results returned, the level of backup methodologies in place appears to be proportional to the company size. Further investigation is recommended into the subject in order to validate the information gleaned from the small number of respondents.

A novel approach for distributed application scheduling based on prediction of communication events

The evolution of commodity computing lead to the possibility of efficient usage of interconnected machines to solve computationally-intensive tasks, which were previously solvable only by using expensive supercomputers. This, however, required new methods for process scheduling and distribution, considering the network latency, communication cost, heterogeneous environments and distributed computing constraints. An efficient distribution of processes over such environments requires an adequate scheduling strategy, as the cost of inefficient process allocation is unacceptably high. Therefore, a knowledge and prediction of application behavior is essential to perform effective scheduling. In this paper, we overview the evolution of scheduling approaches, focusing on distributed environments. We also evaluate the current approaches for process behavior extraction and prediction, aiming at selecting an adequate technique for online prediction of application execution. Based on this evaluation, we propose a novel model for application behavior prediction, considering chaotic properties of such behavior and the automatic detection of critical execution points. The proposed model is applied and evaluated for process scheduling in cluster and grid computing environments. The obtained results demonstrate that prediction of the process behavior is essential for efficient scheduling in large-scale and heterogeneous distributed environments, outperforming conventional scheduling policies by a factor of 10, and even more in some cases. Furthermore, the proposed approach proves to be efficient for online predictions due to its low computational cost and good precision. (C) 2009 Elsevier B.V. All rights reserved.

An Architectural Description Language for Enterprise Computing

Architectural description languages (ADLs) are used to specify high-level, compositional view of a software application. ADLs usually come equipped with a rigourous state-transition style semantics, facilitating specification and analysis of distributed and event-based systems. However, enterprise system architectures built upon newer middleware (implementations of Java’s EJB specification, or Microsoft’s COM+/ .NET) require additional expressive power from an ADL. The TrustME ADL is designed to meet this need. In this paper, we describe several aspects of TrustME that facilitate specification and anlysis of middleware-based architectures for the enterprise.

Fuzzy distributed artificial intelligence systems

In this paper, we introduce a DAI approach called hereinafter Fuzzy Distributed Artificial Intelligence (FDAI). Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve current DAI systems, giving much more flexibility and providing the subsidies which a formal theory can bring. The appropriateness of the FDAI approach is explored in an important application, a fuzzy distributed traffic-light control system, where we have been able to aggregate and study several issues concerned with fuzzy and distributed artificial intelligence. We also present a number of current research directions necessary to develop the FDAI approach more fully.