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The traditional dual differential luminance algorithm was influenced by the surrounding environment, and was not applicable to accurate detection at night. In view of the interference factors of reality, this paper improved the dual differential luminance algorithm by using the method of amending coefficient. Meanwhile, combined with the traffic emergency control measures under different visibility, ten detection modes were subdivided. The next, an experimental system was built in the Meteorological Observatory of Beijing, and the detection software was developed. At last, the experimental data was compared with the correlation values of scatterometer. The results show that the detection accuracies are raised, and the optimized algorithm and system can be used for highway network visibility detection.

People's travel and traffic safety are affected by low visibility. With the development of transportation in recent years, the detection of license plate area under low visibility has become one of the hot topics of research. This article studies the license plate detection under low visibility based on video images. The research content is divided into two parts: defogging and license plate inspection. First of all, the collected image is processed in grayscale, the related defogging coefficient is set, and the dark channel algorithm is used to remove the fog component in the image, which greatly improves the clarity of the image. Second, using the top hat calculation related theory, combined with the image edge extraction, opening and closing operation steps to detect the license plate area. Finally with the help of MATLAB software for test verification, the results show that the algorithm has a good detection effect.

Background In order to better understand the possible role of fungi in giant panda reproduction and overall health, it is important to provide a baseline for the normal fungal composition in the reproductive system. Using morphology and internal transcribed spacer (ITS) sequence analysis, we systematically isolated and identified fungal species from the vagina, foreskin, and semen of 21 (11 males and 10 females) healthy giant pandas to understand the normal fungal flora of the genital tracts. Results A total of 76 fungal strains were obtained, representing 42 genera and 60 species. Among them 47 fungal strains were obtained from vaginal samples, 24 from foreskins, and 5 from semen samples. Several fungal strains were isolated from more than one sample. More fungal species were isolated from females from males. The predominant genera were Aspergillus, Trichosporon, and Penicillium, followed by Candida, Cladosporium, Sordariomycetes, and Diaporthe. The average number of strains in the female vagina was significantly higher than in the foreskin and semen of male. Conclusions A total of 60 fungal species (belonging to 42 genera) were identified in the giant panda’s genital tract. Some of the species were commonly shared in both males and females. These findings provide novel information on the fungal community in the reproductive tracts of giant pandas.

This paper presents a new recognition algorithm for plant pathology images based on the Non-negative Matrix Factorization, the proposed algorithm is combined with optimal wavelet packet basis to recognize patterns and conduct data encoding in the internet of things oriented intelligent agricultural system. The experimental results show that the performance of the proposed recognition algorithm is far better than those of the principal component analysis and linear discriminant analysis, and the recognition rate are improved, on average, about 14.65% and 11.18% higher than the rates of the above algorithms respectively. The presented algorithm is characterized by the fast speed, high calculation accuracy and easy hardware implementation.

We report here a clinical case of phaeohyphomycosis in an 18-year-old male giant panda (Ailuropoda melanoleuca). Skin lesions on the giant panda disappeared following 2 months of treatment with ketoconazole. Three months after discontinuing the treatment, there was a clinical and mycological relapse. The disease progression was no longer responsive to ketoconazole. Microscopy and polymerase chain reaction (PCR) analysis revealed that the infection was caused by Cladosporium cladosporioides. A 4-month treatment regime with Itraconazole oral solution (700 mg per day) successfully terminated the infection.

The concept, Traffic Calming, was introduced to China nearly more than 10 years ago. However, no engineering practice emerges for a long time. As a typical small rural town for tour in Beijing, Zhaitang Town requires more attention on the beautiful site and pedestrian safety. In 2008, Beijing Mentougou Highway Sub-bureau decided to change the reconstruction of Zhaitang Avenue into a pilot engineering project of traffic calming. According with the research results of the traffic features in Zhaitang, the combination of mainly physical measures that reduce the negative effects of motor vehicle use, alter driver behavior and improve conditions for non-motorized street users were applied, such as Speed Humps, Raised Crosswalks, Raised Intersections, Speed Cushions, Roundabouts, Chicanes, Neckdowns, Center Island Narrowings, Lateral Shifts, Median Diverters, Boom Barrier, Pedestrian Refuges, and so on. After a half year observation, the before-andafter data of the first traffic calming engineering project has been achieved. The principles, methods, techniques to set traffic calming facilities resulted from the project and the outcome evaluation are described in the paper.

Based on the survey and analysis of current status of VMS systems application in China, this paper makes innovative study on the information disseminating strategies of Intelligent Motorway Fog Information Dissemination System (IMFIDS) via connected VMS, and then brings forward detailed strategies for two conditions: road opening but visibility under 200 meters and road closed down respectively. The strategies have been demonstrated in the pilot project - Huning Motorway Fog Semiautomatic Information Dissemination System.

Thermally induced transformation fatigue experiments of Shape Memory Alloy (SMA) actuator wires are performed under different heat treatment conditions and different stress levels. The effect of various heat treatment conditions on the thermal transformation fatigue life of Ti-Ni-Cu (K-alloy) SMA wires is analyzed first and the optimal heat treatment condition is found. Results are then presented for the plastic strain accumulation as a function of the number of cycles to failure for different stress levels, and a relationship similar to the Manson-Coffin law is considered. Finally, fatigue results for partial phase transformation cycles are discussed.