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The paper concerns the measurement and forecasting of technological change, a topic relevant to many high-tech organizations and their customers. We revisit recent and classic data sets from technology forecasting data envelopment analysis (TFDEA) research and technometrics in light of a new visualization technique known as t-Distributed Stochastic Neighbor Embedding (t-SNE). The technique is a non-linear...
We present a sport skill classification using time series motion picture data, focused on table tennis. We do not use body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and...
Gliderpalooza represented a grass-roots coordinated field demonstration of ocean observing technologies spanning the eastern seaboard of North America. The overarching goal was to coordinate disparate ocean research efforts, funded by disparate programs from a variety of agencies to demonstrate continental scale coordination of various ocean observing technologies to sample ecologically relevant scales...
Technology drives advances in science. Giving scientists access to more powerful tools for collecting and understanding data enables them to both ask and answer new kinds questions that were previously beyond their reach. Of these new tools at their disposal, machine learning offers the opportunity to understand and analyze data at unprecedented scales and levels of detail. The standard machine learning...
As the core of the supply chain management, the inventory management deserves more of our attention, and in the complicated supply chain, especially under the circumstance of spending a long cycle, the inventory management becomes very difficult, which we need to balance the amount of circulating funds used by overmuch inventory and the loss of stock-out. The demand of marketing is viewed as the foundation...
The authors present a complex of computer laboratories that simulates major subsystems of electrophysical facilities. Lab software interface creates a research environment with diverse electrophysical equipment, including assembly of the experimental circuits, setting their parameters and characteristics, starting and carrying out the necessary research. Models of subsystems are based on both mathematical...
Out of sample fusion is a computational method where real and independent computer generated data are fused. The method hinges on a density ratio model whereby the distributions of the real and the generated data are related. The method is applied in the interval estimation of very small binomial proportions from moderately large samples.
In this paper, we tackle a novel problem of ranking multivalued objects, where an object has multiple instances in a multidimensional space, and the number of instances per object is not fixed. Given an ad hoc scoring function that assigns a score to a multidimensional instance, we want to rank a set of multivalued objects. Different from the existing models of ranking uncertain and probabilistic...
Recently, a second generation of advanced open government data (OGD) infrastructures has emerged, influenced by the principles of the Web 2.0 paradigm, and oriented towards the elimination of the clear distinction between providers and consumers of such data, and the support of data 'pro-sumers'. This paper presents and validates a methodology for evaluating these advanced second generation of ODG...
Asset quality is the foundation of enterprise survival and development we choose one-class support vector machine (OCSVM) is chosen to deal with asset quality abnormal detection for it pays great roles to acquire the abnormal data. As well as flexible to be constructed, Biorthogonal wavelet consists linear-phase nature and high vanishing moment, therefore, corresponding wavelet kernel functions are...
In the field of bioinformatics, many types of data can be represented as the topological graph, such as protein-protein interaction network. Milo proposed the concept of biological motif 0 on Science, which is referred as a substructure that appears in different parts of a network, and appears significantly more frequently than in a random network. Research shows that the motif recognition is important...
With the accelerating level of global integration, the volatilities across exchange markets are co-moving with higher level of fluctuation as well as more complicated dynamic inter correlations, which are key to the deeper understanding and proper measurement of risk. Thus, we propose the multivariate wavelet based Value at Risk estimation algorithm to account for the multiscale dynamic correlation...
This study aims to model the characteristics of volatility of the exchange rate of the Chinese Yuan, based on the daily data of CNY and CNH over the period from August 23, 2010 to September 10, 2013, in the backdrop of RMB internationalization. By introducing both symmetric and asymmetric models of the generalized autoregressive conditional heteroscedastic (GARCH) family, we use the daily data to...
Data envelopment analysis (DEA) is a non-parametric technique for measuring the efficiency of decision making units (DMU) with exact input and output terms. So far, a number of DEA models with interval data have been developed. The radial DEA model such as CCR or BCC model with interval data are well known as basic DEA models with interval data. However, these radial DEA models have some defects....
Among many applications of Shuttle Radar Topography Mission (SRTM) and digital elevation model (DEM), the suitability of this data for simulating potential insolation (PI) has not been fully examined. This study examined the accuracy of potential insolation simulation based on 3 arc-second resolution SRTM. The National Elevation Dataset (NED) was used as reference data. Using a method which does not...
Application dependability issues depend on increasingly sophisticated activities during operation time for deployment, upgrade, scaling out/in and reactions to various failures. Traditional approaches to improving application dependability focus on artifact-oriented troubleshooting and improvements. In this paper, we present an approach using process models to represent and analyze operations with...
This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, the Clinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis...
If in general the transparency of an initially absorbing medium for a probe field is increased by the presence of a control field on an adjacent transition, two very different processes can be invoked to explain it. One of them is a quantum Fano interference between two paths in the three-level system, which occurs even at low control intensity and gives rise to electromagnetically-induced transparency...
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