Ability In Terms Of Accuracy Research Articles

ROPDet: real-time anchor-free detector based on point set representation for rotating object

Remote-sensing object detection is a challenging task due to the difficulties of separating the objects with arbitrary direction from complex backgrounds. Though substantial progress has been made, there still exist challenges for object detection under the scenario of small scale, large aspect ratio, and dense distribution. Besides, the current mainstream approach falls under anchor-based multi-stage method, which has a serious shortcoming of slower inference speed. To conquer the aforementioned issues, this paper used RoPoints (points in rotation objects), a new better representation of objects as a set of sample points to perform object localization and classification. Then, we propose an anchor-free refined rotation detector:ROPDet based on RoPoints for more accurate and faster object detection. In our method, there is no need to predefine a large number anchors with different shapes. We only need to learn RoPoints for each object followed by converting to the corresponding bounding box, which greatly accelerates the inference process. Extensive experiments on two public remote-sensing datasets DOTA and HRSC-2016 demonstrate the competitive ability in terms of accuracy and inference speed.

Mental Rotation of Pictures, Letters and Symbols in Children with Dyslexia: Evidence for Stimulus Type Effect

ABSTRACT We report the results of three tasks of two-dimensional pictures, letters and symbols mental rotation (MR) among 9–11 years aged Arabic readers with dyslexia, in order to examine a potential stimulus type effect on MR ability in terms of accuracy and speed. Results showed that readers with dyslexia (n = 32) performed significantly lower and were slower than typical readers (n = 44) in the three MR tasks. Furthermore, ‘group’ and ‘type of stimuli’ effects were obtained for accuracy and speed of MR implementation, indicating impaired visual spatial orientation processing in children with dyslexia. Furthermore, repeated measures of ANOVA showed that letter MR is significantly slower than pictures and symbols in dyslexic group but no difference in terms of accuracy. These results are interpreted as support for the notion of linguistic based mental rotation impairment in developmental dyslexia, without being restricted to orthographic material.

RRep: A composite index to assess and test rater precision

AbstractIn subjective evaluation systems, raters act as measurement instruments providing useful evaluations for taking strategic and/or operational decisions. The assessment of rater evaluative ability in terms of accuracy and precision is of critical importance since rater unreliability may compromise the quality of the decision‐making process. The focus of this paper is on rater precision: we propose a novel composite index to assess the rater ability to provide evaluations repeatable over time and reproducible over scales. The extent of rater precision is qualified via a nonparametric benchmarking procedure. The properties of both proposed index and benchmarking procedure have been analysed via a Monte Carlo simulation study.

IMPROVING THE STUDENTS’ SPEAKING ABILITY THROUGH ROTATING TRIO EXCHANGE STRATEGY

This research purposed to find out how the improvement of the students’ speaking accuracy and fluency through Rotating Trio Exchange Strategy at the eighth year of SMPN 1 Pallangga. This research was a classroom action research (C.A.R) which consisted of two cycles in which every cycle consisted of four meetings. The subject of this research was one of the classes with the total of students is 33 students. The instruments were oral test and observation sheet. The research findings of this research indicated the students’speaking ability in terms of accuracy and fluency through Rotating Trio Exchange Strategy was effective and significant in improving the students’ speaking ability. It was proved that the findings indicate that the mean score of cycle II was greater than the mean score of cycle I (7.55 > 5.84) and the mean score of cycle I also was greater than the mean score of D-test (5.84 > 4.19), it means that Rotating Trio Exchange Strategy improved the students’ speaking ability in English. Besides, it is better to use in teaching speaking ability than the conventional strategies because this was also improved the students' interest to make them active in learning the speaking ability. The conclusion of the research, Rotating Trio Exchange Strategy improved the student improved the student ability in accuracy and fluency.

International Consensus Diagnostic Criteria for Autoimmune Pancreatitis and Its Japanese Amendment Have Improved Diagnostic Ability over Existing Criteria

Objectives. The recent International Consensus Diagnostic Criteria (ICDC) for autoimmune pancreatitis (AIP) and its Japanese amendment developed by the Japanese Pancreas Society (JPS 2011) may have overcome the drawbacks of earlier criteria and achieved a higher diagnostic ability for AIP. The aim of the present study is to evaluate this possibility and identify the underlying causes of this change. Methods. We compared the diagnostic abilities of the ICDC and JPS 2011 with those of the Japanese diagnostic criteria 2006 (JPS 2006), Korean diagnostic criteria (Korean), Asian diagnostic criteria (Asian), and HISORt diagnostic criteria in 110 patients with AIP and 31 patients with malignant pancreatic cancer. Results. The ICDC achieved the highest diagnostic ability in terms of accuracy (95.0%), followed by JPS 2011 (92.9%), Korean (92.2%), HISORt (88.7%), Asian (87.2%), and JPS 2006 (85.1%). Nearly all criteria systems exhibited a high specificity of 100%, indicating that the enhanced diagnostic ability of the ICDC and JPS 2011 likely stemmed from increased sensitivity brought about by inclusion of diagnostic items requiring no endoscopic retrograde pancreatography. The diagnostic ability of JPS 2011 was nearly equivalent to that of the ICDC. Conclusions. The ICDC and JPS 2011 have improved diagnostic ability as compared with earlier criteria sets because of an increase in sensitivity.

GA-ILP Method for Optimization of Water Distribution Networks

Optimization of water distribution networks has been of central importance for recent decades. Genetic Algorithms (GA) are the most famous metaheuristics widely used for this purpose with great success. However, the fact that GA basically requires a large number of computations, has led to investigate for faster solvers. In this research, a new approach is proposed in which a simple GA is linked with the Integer-Linear Programming (ILP) method resulting in a hybrid optimization scheme. Using the mathematical method of ILP, the search space is significantly reduced thereby a limited number of evaluations are required to achieve a good solution. The approach is applied to two benchmark pipe-networks in order to show its ability in terms of accuracy and speed. The results are then compared with the previous works. The obtained results indicate that the proposed model is computationally efficient, like classic methods, while is still very promising in finding the global optimum like the nature-inspired metaheuristics.