Abstract This study categorised the fishery districts in Iwate Prefecture, which were severely damaged by Great East Japan Earthquake, using data on agriculture and fishery. Subsequently, changes industrial structure of coastal rural areas before after earthquake clarified through an examination both fisheries at same time. Using cluster analysis, district categories classified into three types...

The purpose of this study is to identify healthy phenotypes in knee kinematics based on clustering data analysis. Our analysis uses the 3D curves, namely, flexion/extension, abduction/adduction, and tibial internal/external rotation, measured via a KneeKG™ system during gait task. We investigated two representation approaches that are joint three dimensions. first global approach considered con...

Background Quantitative myocardial T1 mapping shows promise for assessment of various cardiomyopathies. Most available sequences are generally acquired within a breath-hold using a balanced SSFP (bSSFP) imaging readout. However, the signal obtained from a bSSFP imaging readout is T2 dependent, sensitive to magnetization transfer and has increased susceptibility to the B0 field inhomogeneity lea...

As their pace of change accelerates as a result of technological and environmental factors, organizations are faced with challenges in measuring performance. The Balanced Scorecard (BSC) enables managers to translate an organization’s strategic goals into both financial and non-financial performance measures (Kaplan & Norton, 2001). Since being initially proposed by Robert Kaplan and David Nort...

Among the techniques of video processing, video summarization is a promising approach to process the multimedia content. In this paper we present a novel summarization algorithm, Balanced Audio Video Maximal Marginal Relevance (Balanced AV-MMR or BAV-MMR), for multi-video summarization based on both audio and visual information. Balanced AVMMR exploits the balance between audio information and ...

Many applications in data analysis begin with a set of points in a Euclidean space that is partitioned into clusters. Common tasks then are to devise a classifier deciding which of the clusters a new point is associated to, finding outliers with respect to the clusters, or identifying the type of clustering used for the partition. One of the common kinds of clusterings are (balanced) least-squa...

Impact of insecticide resistance in Anopheles arabiensis on effectiveness of malaria vector control in Sudan – Hmooda Kafy, National Malaria Control Programme, Sudan The objective of the trial was to assess the impact of insecticide resistance on the effectiveness of malaria vector control in Sudan and to determine the effects of different combinations of vector control intervention combination...

The value returned by Enterprise Architecture (EA) is increasingly under consideration by researchers and practitioners. They struggle to justify the EA investments made. Quantifying the Enterprise Architecture benefits has always been a challenge because measurements and real value delivered can not often be expressed in simple technical oriented metrics only. In this paper we suggest a multi-...