Abstract
This paper proposes the linear frequency cepstral coefficients as highly discriminative features for anomaly detection in ball bearings using vibration sensor data. These features are based on cepstral analysis and are capable of encoding the patterns of a spectral magnitude profile. Incipient damages on bearings can grow rapidly under normal use resulting in vibration and harsh noise. If left undetected, this damage will worsen, leading to high maintenance costs or even injury. Multiple interferences in an industrial environment contaminate the signal, making it a challenge to correctly identify the bearings' condition. Many studies have attempted to overcome this issue at the signal level. However, the discriminative capacity of the current vibration signal features is still vulnerable to interference, which motivates this work. In order to demonstrate the benefits of these features, we (1) show that they are computationally efficient and suitable for real-time incremental training; (2) conduct discriminative analysis by evaluating the separability performance and comparing it with the state of the art; and (3) test the robustness of the proposed features under noise interference, which is ideal for use in the harsh operating conditions of industrial machinery. The data was obtained from a laboratory workbench setting that reproduces bearing fault scenarios. Results show that the proposed features are fast, competitive when compared to state-of-the-art features, and resilient to high levels of interference. Despite the higher performance when using the quadratic model, the proposed features remain highly discriminative when used with several other discriminant function.

Abstract
Innovation stills on the world's agenda as the holy grail of business success. Nevertheless, it stills hard for some communities to understand and embrace innovation processes in a systematic way as a continuum for regional development. Our stance is that innovation seeds, feeds innovation. That means, innovation won't work in a closed cycle, but rather in an open and cross-entity manner, forming a knowledge-managed regional development ecosystem. Accordingly, this paper describes a knowledge lab, designed as an intel structure to offer knowledge-intensive services towards the regional development of the "Tamega e Sousa" (NUTIII) Region. This knowledge lab aims at complementing the installed dynamics on innovation support and economic stimulus in a knowledge-based innovation management approach.

Abstract
Education is the most successful strategy for a country's growth and development. It is widely agreed that it is the most effective means that society possesses for dealing with the challenges of the future. Nevertheless, higher education has been confronted and needs, therefore, to redefine its historic role as the center of universal knowledge and understanding. This chapter analyzes the importance of internationalization on higher education institutions and enable us to better understand how they are changing as a consequence of the globalization process. Using the University of Aveiro as a case study, we will be studying what internationalization is in a higher education context and which rationales, approaches, and activities are associated with the internationalization process. Furthermore, the appropriateness of theories of internationalization specifically developed for business contexts will be portrayed at the end of the chapter.

Abstract
Considering the importance of innovation and supply chain (SC) management for firms' competitiveness and the growing interest for the relationship between these two areas, this conceptual paper aims to answer the following research question: how does the fit between the different innovation strategies and SC strategies influence business performance? A literature review was conducted as the basis for developing a conceptual framework, using the principles of resource-based view and contingency theory. Different innovation and SC strategies are studied and discussed with respect to the expected effects of fit on business performance. Five propositions and a conceptual framework are presented showing the complexity of the relationship between both strategies. The conceptual model put forward helps to advance research in the area allowing for an interrelationship between innovation and SC strategies, something that has not been adequately researched, and provides insights for managers who are seeking substantive improvement of business performance.

Abstract

Abstract
This chapter analyzes the retail banking behavior in Portugal for the period between 2008 and 2010. The data collection took place through the accounting consultation of the reports and accounts of the years under analysis. The selected variables reflect the strategic actions of retail banking during the period under analysis, and it can be argued that retail banking in Portugal has clear differences among players over time. In particular, banking institutions have different competitive strategies, the strategic groups do not have similar resources, and strategies also differ between strategic groups. This reflects the competitive structure of the national retail banking industry.