A Cost-sensitive Intelligent Prediction Model for Outsourced Software Project Risk

Outsourced software project is one of the main ways of software development, which is of high failure rate. Intelligent risk prediction model can help identify high risk project in time. However, the existing models are mostly based on such a hypothesis that all the cost of misclassification is equal, which is not consistent with the reality that in the domain of software project risk prediction, the cost of predicting a fail-prone project as a success-prone project is different from predicting a success-prone project as a fail-prone project. To the best of our knowledge, the cost-sensitive learning method has not yet been applied in the domain of outsourced software project risk management though it has been widely used in a variety of fields. Based on this situation, we selected five classifiers, and introduced cost-sensitive learning method to build intelligent prediction models respectively. This paper totally collected 292 real data of outsourced software project for modeling. Experiment results showed that, under cost-sensitive scenario, the polynomial kernel support vector machine is the best classifier for outsourced software project risk prediction among the five classifiers due to its high prediction accuracy, stability and low cost

Quantitative analysis of contrast-enhanced ultrasound in neoadjuvant treatment of locally advanced rectal cancer: a retrospective study

PurposeTo explore the clinical value of contrast-enhanced ultrasound (CEUS) quantitative analysis in the evaluation and prognosis of neoadjuvant chemoradiotherapy for locally advanced rectal cancer (LARC).MethodsEighty-three consecutive patients undergoing neoadjuvant chemoradiotherapy and total mesorectal excision for LARC were retrospectively included. According to pathological results, patients were categorized into complete or incomplete response groups. Differences in ultrasonic parameters, pathological results, and clinical data between groups were evaluated. The cutoff point for a complete response as determined by quantitative analysis of CEUS was assessed using a receiver operating characteristic curve; additionally, overall survival (OS) and progression-free survival (PFS) were analyzed.ResultsOf the 83 patients, 12 (14.5%) achieved a complete response and 71 (85.5%) did not. There were significant between-group differences in carcinoembryonic antigen (CEA) levels, differentiation degree, proportion of tumor occupying the lumen, anterior-posterior and superior-inferior diameters of the lesion, and intensity of enhancement (P<0.05). CEUS quantitative analysis showed significant between-group differences in peak intensity (PI) and area under the curve (AUC) values (P<0.05). The OS and PFS of patients with high PI, high AUC value, and poorly differentiated cancer were significantly worse than those with low PI, low AUC values, and moderately to highly differentiated cancer (P<0.05). High CEA levels (hazard ratio: 1.02, 95% confidence interval: 1.01–1.04; P=0.002) and low differentiation (2.72, 1.12–6.62; P=0.028) were independent risk factors for PFS and OS.ConclusionsCEUS can predict the response to neoadjuvant treatment in patients with LARC. CEUS quantitative analysis is helpful for clinical prognosis

An asymmetric upwind flow, Yellow Sea Warm Current : 1. New observations in the western Yellow Sea

Author Posting. © American Geophysical Union, 2011. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research 116 (2011): C04026, doi:10.1029/2010JC006513.The winter water mass along the Yellow Sea Trough (YST), especially on the western side of the trough, is considerably warmer and saltier than the ambient shelf water mass. This observed tongue-shape hydrographic feature implies the existence of a winter along-trough and onshore current, often referred to as the Yellow Sea Warm Current (YSWC). However, the YSWC has not been confirmed by direct current measurements and therefore skepticism remains regarding its existence. Some studies suggest that the presence of the warm water could be due to frontal instability, eddies, or synoptic scale wind bursts. It is noted that in situ observations used in most previous studies were from the central and eastern sides of the YST even though it is known that the warm water core is more pronounced along the western side. Data from the western side have been scarce. Here we present a set of newly available Chinese observations, including some from a coordinated effort involving three Chinese vessels in the western YST during the 2006–2007 winter. The data show unambiguously the existence of the warm current on the western side of YST. Both the current and hydrography observations indicate a dominant barotropic structure of YSWC. The westward deviation of YSWC axis is particularly obvious to the south of 35°N and is clearly associated with an onshore movement of warm water. To the north of 35°N, the YSWC flows along the bathymetry with slightly downslope movement. We conclude that the barotropic current is mainly responsible for the warm water intrusion, while the Ekman and baroclinic currents play an important but secondary role. These observations help fill an observational gap and establish a more complete view of the YSWC.The authors have been supported by China’s National Basic Research Priorities Programmer (2007CB411804 and 2005CB422303), the Ministry of Education’s 111 Project (B07036), the Program for New Century Excellent Talents in University (NECT‐07‐0781), and the China National Science Fundation (40976004, 40921004. and 40930844). J.Y. is supported by the U.S. National Science Foundation and the Woods Hole Oceanographic Institution’s Coastal Ocean Institute

Estimating the 3-D flow rates of the Lowell Glacier using spaceborn InSAR

Glacier motion data is very important for glaciology research, but traditional methods for collecting such data need to overcome staggering financial and logistical hurdles. During the period from July 1995 to May 1996, ERS-1/2 operated under Tandem Mission Mode with one satellite following the other one day apart. This gives a great opportunity to using Synthetic Aperture Radar (SAR) interferometry (InSAR) technology to measure the relative large displacement on the ground between the observation pair. Pioneer research work shows that this short time interval can maintain relatively high coherence for most glacier movement investigations. Some good results have been achieved to measure the velocity field of ice fields, ice streams and Alpine glaciers [1, 2, 3, 4]. In this study, the rationale and processing scheme of differential InSAR are discussed and examined first. Then 10 Tandem raw data sets (4 descending passes, 6 ascending passes) over the Lowell glacier at the boundary of B.C. and the Yukon, Canada, have been processed. 6 interferograms with enough coherence magnitude (3 ascending passes, 3 descending passes) have been generated. In concert with three different flow assumptions on the glacier movement direction, the line of sight (LOS) displacements along the glacier centreline measured from the ascending orbit and the descending orbit are converted into the 3-D velocity vectors. Our results show that the surface parallel assumption is more suitable for most part of the glacier. An overall accuracy around 4 cm/day rms has been achieved in measuring the surface motion of the Lowell Glacier. However, the 3-D projection model does not apply for the glaciers at all locations on this planet. The glacier has to be away from the critical regions caused by the projection geometry. Also, in order to achieve high estimation accuracy, the flow direction of the candidate glacier has be approximately aligned with the radar LOS. But with specifical satellite missions, this technique can provide a feasible method for monitoring the global glaciers and ice sheets in the future.Applied Science, Faculty ofElectrical and Computer Engineering, Department ofGraduat