Jinhui Zhao

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The paper introduces three texture analysis methods of ultrasonic images based on spatial domain method. Feature parameters, including mean, variance, contrast, homogeneity, angular second moment and entropy, are achieved from gray histogram statistic, gray level difference statistic (GLDS), gray level co-occurrence matrix (GLCM). Then the above statistical(More)
To broaden the range of laser’s application, continuous near infrared semiconductor diode laser (wavelength 808nm, power 2W) was used to evaluate the effect on Locusta Migratoria Manilensis locusts by laser irradiation. The heads of¿-¿ instar nymphs were irradiated at the 4cm distance from the output light pane of laser and 2s /4s irradiation time(More)
Histone acetyltransferases (HATs) play an important role in eukaryotic transcription. Eight HATs identified in rice (OsHATs) can be organized into four families, namely the CBP (OsHAC701, OsHAC703, and OsHAC704), TAFII250 (OsHAF701), GNAT (OsHAG702, OsHAG703, and OsHAG704), and MYST (OsHAM701) families. The biological functions of HATs in rice remain(More)
Sugarcane cotton aphis is a common insect pest in China. Rough set and fuzzy C-means clustering were applied to identify the insect pest of sugarcane cotton aphis. Rough set was used to obtain the characteristic parameters of identify insect pest of sugarcane cotton aphis. Then, fuzzy C-means clustering was used to extract the regions of the insect pest of(More)
Information security evaluation has become an important part of information management. The methods of safety evaluation impact the veracity and objectivity of the results, and also impact the overall capacity of information management in enterprises. Based on the thought of variable fuzzy set, a novel risk evaluation model is proposed. This model can(More)
BACKGROUND While substantive epidemiological literature suggests that alcohol drinking and obesity are potential risk factors of colorectal cancer (CRC), the possible interaction between the two has not been adequately explored. We used a case-control study to examine if alcohol drinking is associated with an increased risk of CRC and if such risk differs(More)
This paper presents a novel approach for human identification at a distance using gait recognition. The proposed work introduces a nonlinear machine learning method, Kernel Principal Component Analysis (KPCA), and K nearest neighbor classification (KNN) classifier for gait recognition. Kernel Principal Component Analysis (KPCA) is first applied to(More)
Breast cancer is the second leading cause of cancer death in women. Serum biomarkers such as cancer antigen 15-3 (CA15-3), cancer antigen 125 (CA125), and carcinoembryonic antigen (CEA) can be used as diagnostic and prognostic factors and can also provide valuable information during follow-up. However, serum protein biomarkers show limited diagnostic(More)
Research on a possible causal association between alcohol consumption and risk of prostate cancer is inconclusive. Recent studies on associations between alcohol consumption and other health outcomes suggest these are influenced by drinker misclassification errors and other study quality characteristics. The influence of these factors on estimates of the(More)