Intellectual Property management in publicly funded R&D centres—A comparison of university-based and company-based research centres

Recent thinking on open innovation and the knowledge-based economy have stressed the importance of external knowledge sources in stimulating innovation. Policy-makers have recognised this, establishing publicly funded Centres of R&D Excellence with the objective of stimulating industry–science links and localised innovation spillovers. Here, we examine the contrasting IP management practices of a group of 18 university- and company-based R&D centres supported by the same regional programme. Our analysis covers all but one of the Centres supported by the programme and suggests marked contrasts between the IP strategies of the university-based and company-based centres. This suggests the potential for very different types of knowledge spillovers from publicly funded R&D centres based in different types of organisations, and a range of alternative policy approaches to the future funding of R&D centres depending on policy-makers’ objectives.

The physical activity loyalty card scheme:Development and application of a novel system for incentivizing behaviour change

In the Public Health White Paper "Healthy Lives, Healthy People" (2010), the UK Government emphasised using incentives and "nudging" to encourage positive, healthy behaviour changes. However, there is little evidence that nudging is effective, in particular for increasing physical activity. We have created a platform to research the effectiveness of health-related behaviour change interventions and incentive schemes. The system consists of an outward-facing website, incorporating tools for incentivizing behaviour change, and a novel physical activity monitoring system. The monitoring system consists of the "Physical Activity Loyalty Card", which contains a passive RFID tag, and a contactless sensor network to detect the cards. This paper describes the application of this novel web-based system to investigate the effectiveness of non-cash incentives to "nudge" adults to undertake more physical activity. © 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.

EXPERT-SYSTEM SUPPORT USING BAYESIAN BELIEF NETWORKS IN THE DIAGNOSIS OF FINE-NEEDLE ASPIRATION BIOPSY SPECIMENS OF THE BREAST

Aim-To develop an expert system model for the diagnosis of fine needle aspiration cytology (FNAC) of the breast.

Methods-Knowledge and uncertainty were represented in the form of a Bayesian belief network which permitted the combination of diagnostic evidence in a cumulative manner and provided a final probability for the possible diagnostic outcomes. The network comprised 10 cytological features (evidence nodes), each independently linked to the diagnosis (decision node) by a conditional probability matrix. The system was designed to be interactive in that the cytopathologist entered evidence into the network in the form of likelihood ratios for the outcomes at each evidence node.

Results-The efficiency of the network was tested on a series of 40 breast FNAC specimens. The highest diagnostic probability provided by the network agreed with the cytopathologists' diagnosis in 100% of cases for the assessment of discrete, benign, and malignant aspirates. A typical probably benign cases were given probabilities in favour of a benign diagnosis. Suspicious cases tended to have similar probabilities for both diagnostic outcomes and so, correctly, could not be assigned as benign or malignant. A closer examination of cumulative belief graphs for the diagnostic sequence of each case provided insight into the diagnostic process, and quantitative data which improved the identification of suspicious cases.

Conclusion-The further development of such a system will have three important roles in breast cytodiagnosis: (1) to aid the cytologist in making a more consistent and objective diagnosis; (2) to provide a teaching tool on breast cytological diagnosis for the non-expert; and (3) it is the first stage in the development of a system capable of automated diagnosis through the use of expert system machine vision.

A sparse representation based fast detection method for surface defect detection of bottle caps

A practical machine-vision-based system is developed for fast detection of defects occurring on the surface of bottle caps. This system can be used to extract the circular region as the region of interests (ROI) from the surface of a bottle cap, and then use the circular region projection histogram (CRPH) as the matching features. We establish two dictionaries for the template and possible defect, respectively. Due to the requirements of high-speed production as well as detecting quality, a fast algorithm based on a sparse representation is proposed to speed up the searching. In the sparse representation, non-zero elements in the sparse factors indicate the defect's size and position. Experimental results in industrial trials show that the proposed method outperforms the orientation code method (OCM) and is able to produce promising results for detecting defects on the surface of bottle caps.

An Extended Event Reasoning Framework for Decision Support under Uncertainty

To provide in-time reactions to a large volume of surveil- lance data, uncertainty-enabled event reasoning frameworks for CCTV and sensor based intelligent surveillance system have been integrated to model and infer events of interest. However, most of the existing works do not consider decision making under uncertainty which is important for surveillance operators. In this paper, we extend an event reasoning framework for decision support, which enables our framework to predict, rank and alarm threats from multiple heterogeneous sources.

A Characteristic Function Approach to Inconsistency Measures for Knowledge Bases.

Knowledge is an important component in many intelligent systems.
Since items of knowledge in a knowledge base can be conflicting, especially if
there are multiple sources contributing to the knowledge in this base, significant
research efforts have been made on developing inconsistency measures for
knowledge bases and on developing merging approaches. Most of these efforts
start with flat knowledge bases. However, in many real-world applications, items
of knowledge are not perceived with equal importance, rather, weights (which
can be used to indicate the importance or priority) are associated with items of
knowledge. Therefore, measuring the inconsistency of a knowledge base with
weighted formulae as well as their merging is an important but difficult task. In
this paper, we derive a numerical characteristic function from each knowledge
base with weighted formulae, based on the Dempster-Shafer theory of evidence.
Using these functions, we are able to measure the inconsistency of the knowledge
base in a convenient and rational way, and are able to merge multiple knowledge
bases with weighted formulae, even if knowledge in these bases may be
inconsistent. Furthermore, by examining whether multiple knowledge bases are
dependent or independent, they can be combined in different ways using their
characteristic functions, which cannot be handled (or at least have never been
considered) in classic knowledge based merging approaches in the literature.

O desenvolvimento dos sistemas de valor do sector segurador em Portugal

A investigação em apreço tem como horizonte de ocorrência o espaço inter-organizacional onde as empresas se relacionam entre si, com os seus fornecedores, canais e Clientes. É pretendido estudar o actual estado das parcerias inter-organizacionais do sector segurador nacional e definir uma estratégia de desenvolvimento integrado dos sistemas de valor. Com base num modelo de análise ancorado na (1) racionalidade económica inscrita na TCE (teoria dos custos de transacção) e (2) na óptica das Capacidades Dinâmicas, é proposto o Modelo GPS (Gestão Integrada de Parcerias) compaginável com uma visão holística e dinâmica. A metodologia de verificação empírica compreendeu (1) recolha de dados através de questionário, dirigido a Companhias e Parceiros e (2) entrevistas semi-estruturadas. A análise descritiva dos dados permitiu validar o modelo GPS e caracterizar um sistema de valor heterogéneo, complexo e diversificado relativamente à natureza e intensidade de relacionamentos. O sistema de relacionamentos foi enquadrado numa escala de maturidade onde foram posicionadas as várias práticas de gestão de parcerias. Actualmente nos seguros estamos perante um sistema mais economic-intensive, transaccional, do que knowledge-intensive. No teste de hipóteses, efectuado com a ferramenta SPSS, assinalam-se as correlações que se esperavam encontrar, bem como as (principais) ausências. De facto, a ausência de vestígios de correlação entre governance social/confiança e colaboração nos seguros não era esperada e constitui uma chamada de atenção para uma dimensão sub-explorada, conducente a um quadro tensional. No final, com base na realidade captada, foram traçadas recomendações de desenvolvimento dos sistemas de valor visando alcançar níveis colaborativos mais eficazes, assentes na força dos laços fortes. Todavia, esta nova narrativa de gestão não é neutral face aos modelos vigentes, implicando algum grau de ruptura. A continuação de especialização em actividades core, desconstruindo de forma (mais) pronunciada a cadeia de valor, secundada por maior níveis de colaboração e socialização entre pares, são elementos constitutivos da realidade futura. Vendo para além da linha do horizonte, os gestores seguradores não podem ficar indiferentes à projecção de uma matriz de fundo de relacionamentos mais colaborativos enquanto terreno fértil de inovação e renovação de fontes de vantagem competitiva.

Bacterial algorithm applied for fuzzy rule extraction

This paper presents a method of using the so-colled "bacterial algorithm" (4,5) for extracting a fuzzy rule base from a training set. The bewly proposed bacterial evolutionary algorithm (BEA) is shown. In our application one bacterium corresponds to a fuzzy rule system.

virtX - Ein rechnergestütztes System zum Training des intraoperativen Einsatzes eines mobilen Bildverstärkers

Hintergrund und Fragestellung: Die korrekte intraoperative Positionierung und Einstellung eines mobilen Bildverstärkers (auch C-Bogen) kann zurzeit theoretisch mit Hilfe von Lehrbüchern erlernt, am Gerät selbst aber nur ohne visuelle Rückmeldung, d.h. ohne ein zur Ausrichtung korrespondierendes Röntgenbild, trainiert werden. Hieraus ergibt sich die Fragestellung, inwiefern das Training der Handhabung und richtigen Einstellung des C-Bogens in verschiedenen Operationsszenarien durch ein C-Bogen Simulationssystem als Teil eines CBT-Systems (Computer Based Training) unterstützt werden kann. Methoden: In Kooperation mit Ärzten aus Unfallchirurgie und Radiologie wurde das computer-basierte Trainingssystem virtX entwickelt. virtX kann dem Nutzer verschiedene Aufgaben zur Einstellung eines C-Bogens stellen und die Ausführung und das Ergebnis bewerten. Die Aufgaben können mit Hilfe eines Autorensystems erstellt und vom Trainierenden in verschiedenen Modi erfüllt werden: im rein virtuellen Modus oder im kombinierten virtuell-realen Modus. Im rein virtuellen Modus steuert der Nutzer den virtuellen C-Bogen in einem virtuellen OP-Saal mittels einer grafisch-interaktiven Benutzungsoberfläche. Im virtuell-realen Modus hingegen wird die Ausrichtung eines realen C-Bogens erfasst und auf den virtuellen C-Bogen übertragen. Während der Aufgabenerfüllung kann der Benutzer zu jeder Zeit ein realitätsnahes, virtuelles Röntgenbild erzeugen und dabei alle Parameter wie Blendenstellung, Röntgenintensität, etc. wie bei einem realen C-Bogen steuern. virtX wurde auf einem dreitägigen Kurs für OP-Personal mit 120 Teilnehmern eingesetzt und auf der Basis von Fragebögen evaluiert. Ergebnisse: Von den Teilnehmern gaben 79 einen ausgefüllten Evaluations-Fragebogen ab. Das Durchschnittsalter der 62 weiblichen und 15 männlichen Teilnehmer (zwei o.A.) lag bei 34 ± 9 Jahren, die Berufserfahrung bei 8,3 ± 7,6 Jahren. 18 Personen (23%) gaben an, gelegentlich mit einem C-Bogen zu arbeiten, 61 (77%) arbeiteten regelmäßig damit. Über 83% der befragten Teilnehmer empfanden virtX als eine sinnvolle Ergänzung zur herkömmlichen Ausbildung am C-Bogen. Das virtuelle Röntgen wurde mit einer Zustimmung von 91% der befragten Teilnehmer als besonders wichtig für das Verständnis der Arbeitsweise eines C-Bogens beurteilt. Ebenso erhielt der kombinierte virtuell-reale Modus mit 84% Zustimmung einen vergleichsweise hohen Stellenwert. Schlussfolgerung: Die Befragung zeichnet ein positives Bild der Akzeptanz des virtX-System als substanzielle Ergänzung zur herkömmlichen Ausbildung am C-Bogen.

Entangled semantics

In the context of monolingual and bilingual retrieval, Simple Knowledge Organisation System (SKOS) datasets can play a dual role as knowledge bases for semantic annotations and as language-independent resources for translation. With no existing track of formal evaluations of these aspects for datasets in SKOS format, we describe a case study on the usage of the Thesaurus for the Social Sciences in SKOS format for a retrieval setup based on the CLEF 2004-2006 Domain-Specific Track topics, documents and relevance assessments. Results showed a mixed picture with significant system-level improvements in terms of mean average precision in the bilingual runs. Our experiments set a new and improved baseline for using SKOS-based datasets with the GIRT collection and are an example of component-based evaluation.

Success or failure in knowledge management systems: a universal issue

This paper takes a sociotechnical viewpoint of knowledge management system (KMS) implementation in organizations considering issues such as stakeholder disenfranchisement, lack of communication, and the low involvement of key personnel in system design asking whether KMS designers could learn from applying sociotechnical principles to their systems. The paper discusses design elements drawn from the sociotechnical principles essential for the success of IS and makes recommendations to increase the success of KMS in organizations. It also provides guidelines derived from Clegg’s Principles (2000) for KMS designers to enhance their designs. Our data comes from the application of a plurality of analysis methods on a large comprehensive global survey conducted from 2007 to 2011 of 1034 participants from 76 countries. The survey covers a variety of organizations of all types and sizes from a comprehensive selection of economic sectors and industries. Our results showed that users were not satisfied with the information and knowledge systems that they were being offered. In addition to multiple technology and usability issues, there were human and organisational barriers that prevented the systems from being used to their full potential. We recommend that users of KMS are integrated into the design team so that these usability and other barriers can be addressed during the feasibility stage as well as the actual design and implementation phases.

Residential heat pump installations: the role of vocational education and training

Meeting European emissions targets is reliant on innovative renewable technologies, particularly ‘renewable heat’ from heat pumps. Heat pump performance is driven by Carnot efficiency and optimum performance requires the lowest possible space heating flow temperatures leading to greater sensitivity to poor design, installation and operation. Does sufficient training and installer capacity exist for this technology? This paper situates the results of heat pump field trial performance in a socio-technical context, identifying how far installer competence requirements are met within the current vocational education and training (VET) system and considers possible futures. Few UK installers have formal heat pump qualifications at National Vocational Qualification (NVQ) level 3 and heat pump VET is generally through short-course provision where the structure of training is largely unregulated with no strict adherence to a common syllabus or a detailed training centre specification. Prerequisites for short-course trainees, specifically the demand for heating system knowledge based on metric design criteria, is limited and proof of ‘experience’ is an accepted alternative to formal educational qualifications. The lack of broader educational content and deficiencies in engineering knowledge will have profound negative impacts on both the performance and market acceptance of heat pumps. Possible futures to address this problem are identified.

The European challenge of KMN and innovation: a skills and competence portfolio for knowledge worker in SME's

Versão editor: http://www.isegi.unl.pt/docentes/acorreia/documentos/European_Challenge_KM_Innovation_2004.pdf

An intelligent tutoring approach to support students and technicians in electrical installation design

Designing electric installation projects, demands not only academic knowledge, but also other types of knowledge not easily acquired through traditional instructional methodologies. A lot of additional empirical knowledge is missing and so the academic instruction must be completed with different kinds of knowledge, such as real-life practical examples and simulations. On the other hand, the practical knowledge detained by the most experienced designers is not formalized in such a way that is easily transmitted. In order to overcome these difficulties present in the engineers formation, we are developing an Intelligent Tutoring System (ITS), for training and support concerning the development of electrical installation projects to be used by electrical engineers, technicians and students.

Embedded platform for ECG biometric recognition

Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia de Electrónica e Telecomunicações