http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Middleware Technology Research and Interface Design Based on Internet of Things
Yingmei Wang 보안공학연구지원센터 2015 International Journal of Smart Home Vol.9 No.12
With the advent of Internet of Things (IoT) technology, communications between physical objects and humans become realistic, and smart devices can be monitored and controlled remotely. It promotes the development of smart home, smart city and even smart planet, which greatly improves the quality and efficiency of human life. As a kind of common services, middleware technology plays an importance role in IoT system. This paper firstly introduces the research background of IoT and middleware technology. Then three main middleware access scenes are analyzed in IoT system, which is determined by the sensing device functions. Lastly, this paper defines the middleware interface, and proposes the interface design method. The middleware interface is classified into three categories: device side interface, application side interface and middleware management interface, in which device side interface defines the data transmission method between the device layer and the platform layer; application side interface defines the middleware opening resources and services between the application layer and the platform layer; and middleware management interface is mainly for devices and middleware management functions. It indicates the message interaction process, and separates different message information, thus improving the data transmission efficiency and enhancing the services open ability of IoT system.
Development of Scale of Critical Factors for China's Tourism Industry in E-commerce Environment
Yingmei We,Runsheng Fang,Yuqiang Feng 보안공학연구지원센터 2014 International Journal of u- and e- Service, Scienc Vol.7 No.6
Considering the tourism industry technologies in e-commerce environment and other basic conditions are perfect, but the profit is still very little. In this study, a draft questionnaire scale is designed based on critical success factors (CSF) combined with some theories and the opinions of 23 senior managers in tourism enterprise who constructed the judgment matrix introducing innovative and legalization modules. The approaches, analytic hierarchy process (AHP), group eigenvalue method (GEM) and corrected item-total correlation (CITC), are respectively used to test. After removing those bad items on the basis of comprehensive output results while comparing three test approaches, the scale is modified to finalize the formal survey questionnaire to complete the preliminary work of research on tourist industry innovation and services spiral development in e-commerce environment. The research shows that there is a big gap between the primary concern of Chinese enterprises and the sustainable tourism economy in the world.
Study of Data Stream Clustering Based on MSF
Yingmei Li,Min Li,Jingbo Shao,Gaoyang Wang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.1
Nowadays with the rapid development of wireless sensor networks, and network traffic monitoring, stream data gradually becomes one of the most popular data models. Stream data is different from the traditional static data. Clustering analysis is an important technology for data mining, so that many researchers pay their attention to the clustering of stream data. In this paper, MSFS algorithm is proposed. By means of the experimental verification analysis, based on biologically inspired computational model, higher clustering purity on both the real dataset and the simulation datasets existence is demonstrated for the proposed algorithm. In other words, the cluster result of MSFS algorithm is advantageous over previous method.
Yingmei Wang,Shiqian Zhang,Lihui Wei,Zhongqiu Lin,Xinyu Wang,Jianliu Wang,Keqin Hua,Manhua Cu,Jiandong Wang,Shixuan Wang,Wen Di,Yudong Wang,Ruifang An,Mingrong Xi,Ruixia Guo,Qi Zhou,Xing Xie,Fengxia X 대한부인종양학회 2020 Journal of Gynecologic Oncology Vol.31 No.4
The outbreak of coronavirus disease 2019 (COVID-19) caused by the severe acute respiratorysyndrome coronavirus 2 has rapidly spread globally. Cancer patients are at a higher risk ofbeing infected with the coronavirus and are more likely to develop severe complications, ascompared to the general population. The increasing spread of COVID-19 presents challengesfor the clinical care of patients with gynecological malignancies. Concerted efforts should beput into managing gynecological malignancies in an orderly manner by strictly implementingthe measures that are specifically developed for controlling the spread of COVID-19. We havedrafted Recommendations on Management of Gynecological Malignancies during the COVID-19 Pandemicbased on our experience on controlling COVID-19 pandemic in China. We recommendthat patients with gynecological malignancies should be managed in hierarchical andindividualized manners in combination with local conditions related to COVID-19. Medicalcare decision should be balanced between controlling COVID-19 pandemic spread and timelydiagnosis and treatment for gynecologic oncology patients.
TSDnet: 적외선과 가시광선 이미지 융합을 위한 규모-3 밀도망
장영매 ( Yingmei Zhang ),이효종 ( Hyo Jong Lee ) 한국정보처리학회 2022 한국정보처리학회 학술대회논문집 Vol.29 No.2
The purpose of infrared and visible image fusion is to integrate images of different modes with different details into a result image with rich information, which is convenient for high-level computer vision task. Considering many deep networks only work in a single scale, this paper proposes a novel image fusion based on three-scale dense network to preserve the content and key target features from the input images in the fused image. It comprises an encoder, a three-scale block, a fused strategy and a decoder, which can capture incredibly rich background details and prominent target details. The encoder is used to extract three-scale dense features from the source images for the initial image fusion. Then, a fusion strategy called l1-norm to fuse features of different scales. Finally, the fused image is reconstructed by decoding network. Compared with the existing methods, the proposed method can achieve state-of-the-art fusion performance in subjective observation.
An adaptive nonlocal filtering for low-dose CT in both image and projection domains
Wang, Yingmei,Fu, Shujun,Li, Wanlong,Zhang, Caiming Society for Computational Design and Engineering 2015 Journal of computational design and engineering Vol.2 No.2
An important problem in low-dose CT is the image quality degradation caused by photon starvation. There are a lot of algorithms in sinogram domain or image domain to solve this problem. In view of strong self-similarity contained in the special sinusoid-like strip data in the sinogram space, we propose a novel non-local filtering, whose average weights are related to both the image FBP (filtered backprojection) reconstructed from restored sinogram data and the image directly FBP reconstructed from noisy sinogram data. In the process of sinogram restoration, we apply a non-local method with smoothness parameters adjusted adaptively to the variance of noisy sinogram data, which makes the method much effective for noise reduction in sinogram domain. Simulation experiments show that our proposed method by filtering in both image and projection domains has a better performance in noise reduction and details preservation in reconstructed images.
이중스케일분해기와 미세정보 보존모델에 기반한 다중 모드 의료영상 융합연구
장영매 ( Yingmei Zhang ),이효종 ( Hyo Jong Lee ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.2
The purpose of multimodal medical image fusion (MMIF) is to integrate images of different modes with different details into a result image with rich information, which is convenient for doctors to accurately diagnose and treat the diseased tissues of patients. Encouraged by this purpose, this paper proposes a novel method based on a two-scale decomposer and detail preservation model. The first step is to use the two-scale decomposer to decompose the source image into the energy layers and structure layers, which have the characteristic of detail preservation. And then, structure tensor operator and max-abs are combined to fuse the structure layers. The detail preservation model is proposed for the fusion of the energy layers, which greatly improves the image performance. The fused image is achieved by summing up the two fused sub-images obtained by the above fusion rules. Experiments demonstrate that the proposed method has superior performance compared with the state-of-the-art fusion methods.