Bi-tooth flux-switching permanent magnet (FSPM) machine is an interesting brushless machine having magnets and excitation windings in the stator, which exhibits larger back EMF and requires only half the number and volume of PMs compared to conventional FSPM machine. However, air gap magnetic field is difficult to be regulated due to PM excitation alone. In this paper, by introducing an additio...

This paper presents the Malmö Breast Tomosynthesis project. The tomosynthesis equipment is described as well as the patient selection and image acquisition. Special focus is given to one of the studies of the project, which is a comparison of the diagnostic performance between breast tomosynthesis (BT), digital mammography (DM) and ultrasonography (US): Tumor classification according to the BIR...

In this Internet age, recommender systems (RS) have become popular, offering new opportunities and challenges to the business world. With a continuous increase in global competition, e-businesses, information portals, social networks and more, websites are required to become more user-centric and rely on the presence and role of RS in assisting users in better decision making. However, with con...

Focusing on the working relationship between Marketing Managers and Sales Managers, our study examines two dimensions of interpersonal conflict: dysfunctional conflict and functional conflict. Drawing on relevant theory, we include three communication variables – frequency, bidirectionality, and quality – as antecedents in our structural model. Using these explanatory variables we predict the t...

This paper presents two new dynamic programming (DP) algorithms to find the exact Pareto frontier for the bi-objective integer knapsack problem. First, a property of the traditional DP algorithm for the multiobjective integer knapsack problem is identified. The first algorithm is developed by directly using the property. The second algorithm is a hybrid DP approach using the concept of the boun...

In this report, we study stochastic local search (SLS) algorithms for biobjective optimization problems. In particular, we study multi-objective algorithms that belong to two different classes of approaches, those that use a scalarized acceptance criterion (SAC) and those that use a componentwise acceptance criterion (CWAC). As a representative example of a SAC algorithm, we study Two-Phase Loc...

The future of business intelligence (BI) is to integrate intelligence into operational systems that works in real-time analyzing small chunks of data based on requirements on continuous basis. This is moving away from traditional approach of doing analysis on ad-hoc basis or sporadically in passive and off-line mode analyzing huge amount data. Various AI techniques such as expert systems, case-...

Business Intelligence (BI) is a set of techniques that help improve business decision making. From a technical point of view, BI relies on a set of tools which includes performance dashboards: layered services that combine monitoring, analysis, and reporting. However, most dashboard solutions today are based on data warehouses which face a problem of data staleness—a circumstance caused by the ...

Understanding and Improving Operating System Effects in Control Flow Prediction Abstract Many modern applications exercise the operating system kernel significantly, resulting in several implications including affecting the control flow transfer in the execution environment. This paper focuses on understanding the operating system effects on control flow transfer and prediction, and designing a...

The future of business intelligence (BI) is to integrate intelligence into operational systems that works in real-time analyzing small chunks of data based on requirements on continuous basis. This is moving away from traditional approach of doing analysis on ad-hoc basis or sporadically in passive and off-line mode analyzing huge amount data. Various AI techniques such as expert systems, case-...