The revealing power of a test case

‘Propagation, infection, and execution analysis’ (termed PIE) is used for predicting where faults can more easily hide in software. To make such predictions, programs are dynamically executed with test cases, and information concerning the test cases is collected into a histogram, each bin of which represents a single test case. The score in a bin predicts the likelihood that the test case will reveal a fault through the production of a failure (if a fault exists in the set of program locations that the test case executes). Preliminary experiments using program mutations suggest that the histogram technique presented in this paper can rank test cases according to their fault revealing ability.     

基于梯度方向直方图的干枯植物与裸土偏振光谱识别研究

从地物光谱图像识别的关键问题出发,将改进的梯度方向直方图(光谱梯度方向直方图)与"光谱总反射率"应用到偏振光谱识别研究中,实现了对5种干枯植物与3种裸土的识别.在研究中,先联合光谱梯度方向直方图特征向量的模与光谱总反射率进行层次聚类分析,可以识别6种研究对象,再单独利用光谱梯度方向直方图特征的模进行层次聚类分析识别其余2种研究对象,从而可以实现全部研究对象偏振光谱识别.     

一种直接直方图修正方法

本文提出了的方法通过将直方图均衡作为直方图规定的特例考虑,既可实现直方图均衡又可实现直方图规定,从而实现了这２种方法的统一,而且直方图规定的结果好于文献「１」方法。     

Reversible data hiding based on automatic contrast enhancement using histogram expansion

A lot of Reversible Data Hiding (RDH) methods aim to generate a stego image infinitely approaches the original image while the quality of the original image is leaved out of consideration. Juxtaposed with a plain image, a contrast enhanced version always improves the user experience significantly. Reversible Data Hiding with Contrast Enhancement (RDHCE) enhances the stego image contrast combined with its payloads and enables the cover image to be regained accurately after the payloads have been extracted. This study presents a novel RDHCE method using histogram expansion. First, a new local histogram selecting strategy is proposed to improve the contrast of the whole image. Meanwhile, the global average brightness is used as a reference to determine the shifting direction of the local histogram to prevent the image from being over-enhanced. Moreover, the contrast can be improved adaptively when a reasonable number of data is embedded at the selected embedding points. Experimental results show that, with a given payload, the proposed method achieves better contrast and maintains good visual quality compared with state-of-the-arts.     

水果在冷藏过程中的干耗研究

用湿迁移规律研究水果冷藏过程中的干耗问题，说明冷藏中库温保持恒定下水果的干耗与库内空气的温度、湿度以及水果的散湿因子有关。为实际中采用的各种减少干耗的有效措施提供理论根据，也为提出新的措施提供技术指导。