Design and Research of Remote Monitoring Terminal of Tomato Harvester Based on BDS and GPRS

Bin Li,Danyang Li,Jiangquan Li 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.5

코퍼스 언어학, 체계적인 기능 문법 및 문화적 의미: 소설 Cat in the Rain의 분석

이단양 ( Danyang Li ) 아시아문화학술원 2018 인문사회 21 Vol.9 No.4

코퍼스 언어는 문학을 분석하는데 있어 기본적인 자원이다. 이것은 컴퓨터 소프트웨어를 통해 실제 언어 자료를 분석하는 것을 기반으로 한다. 최근에는 코퍼스 언어 분석이 직관적으로 감지 할 수 없는 데이터의 의미와 구조적 특징을 나타내 주기 때문에, 코퍼스 기반의 연구에 중시되고 있다. 이 논문에서는 AntConc3.5.7(mac) 2018 소프트웨어가 Ernest Miller Hemingway의 단편소설 『비를 맞고 있는 고양이』을 분석하기 위해 적용되었다. 『비를 맞고 있는 고양이』의 텍스트 분석에는 두 가지 목표가 있다. 먼저, 코퍼스 용어 색인을 사용하여 텍스트의 단어 빈도를 나열한다. 그런 다음, 녹음 된 단어를 transitivity을 적용하여 분석한다. 문학 분석에서 등장인물과 구성을 빈도와 이행에 따라 분석하는 것이 효과적임이 증명되었다. 이 방법은 교수법에도 적용될 수 있다. 그리고 이는 보다 창의적인 교수 방법과 보다 질 좋은 교수법을 가능하게 한다. 전통적인 교육과 코퍼스의 결합을 사용함으로써 교사는 학생들에게 문학을 보다 쉽게 접근 할 수 있는 과목으로 만들어 주고, 궁극적으로 학생의 이해력과 문해력을 향상시킬 수 있다. Corpus linguistics is a fundamental resource in analyzing literature. It is based on analyzing actual linguistic materials through the computer software. Recently, there has been a significant emphasis on studies based on the corpus, because corpus linguistic analyses reveal meanings and structural features of data, which cannot be detected intuitively. In this paper, AntConc3.5.7 (mac) 2018 software was applied to analyze Ernest Miller Hemingway’s short story of Cat in the Rain. There are two aims in the text analysis of Cat in the Rain. Firstly, corpus concordance is used to list the frequency of words in the text. Then, transitivity is applied to analyze the recorded words. Analyzing the characters and the plot by frequency and transitivity is proven effective in literature analysis. This method can also be applied to teaching, and it allows a more creative method of teaching and better quality of teaching. By using the combination of traditional education and corpus, teachers could make literature a more accessible subject for students and, ultimately, improve student comprehension and literacy level.

A Hydrogel-based First-Aid Tissue Adhesive with Effective Hemostasis and Anti-bacteria for Trauma Emergency Management

Dongjie Zhang,Li Mei,Yuanping Hao,Bingcheng Yi,Jilin Hu,Danyang Wang,Yaodong Zhao,Zhe Wang,Hailin Huang,Yongzhi Xu,Xuyang Deng,Cong Li,Xuewei Li,Qihui Zhou,Yun Lu 한국생체재료학회 2023 생체재료학회지 Vol.27 No.00

Background Clinical tissue adhesives remain some critical drawbacks for managing emergency injuries, such as inadequate adhesive strength and insufficient anti-infection ability. Herein, a novel, self-healing, and antibacterial carboxymethyl chitosan/polyaldehyde dextran (CMCS/PD) hydrogel is designed as the first-aid tissue adhesive for effective trauma emergency management. Methods We examined the gel-forming time, porosity, self-healing, antibacterial properties, cytotoxicity, adhesive strength, and hemocompatibility. Liver hemorrhage, tail severance, and skin wound infection models of rats are constructed in vivo, respectively. Results Results demonstrate that the CMCS/PD hydrogel has the rapid gel-forming (~ 5 s), good self-healing, and effective antibacterial abilities, and could adhere to tissue firmly (adhesive strength of ~ 10 kPa and burst pressure of 327.5 mmHg) with excellent hemocompatibility and cytocompatibility. This suggests the great prospect of CMCS/ PD hydrogel in acting as a first-aid tissue adhesive for trauma emergency management. The CMCS/PD hydrogel is observed to not only achieve rapid hemostasis for curing liver hemorrhage and tail severance in comparison to commercial hemostatic gel (Surgiflo ®) but also exhibit superior anti-infection for treating acute skin trauma compared with clinical disinfectant gel (Prontosan ®). Conclusions Overall, the CMCS/PD hydrogel offers a promising candidate for first-aid tissue adhesives to manage the trauma emergency. Because of the rapid gel-forming time, it could also be applied as a liquid first-aid bandage for mini-invasive surgical treatment.

Enhancing immune responses to inactivated foot-and-mouth virus vaccine by a polysaccharide adjuvant of aqueous extracts from Artemisia rupestris L.

Danyang Wang,Yu Yang,Jinyu Li,Bin Wang,Ailian Zhang 대한수의학회 2021 Journal of Veterinary Science Vol.22 No.3

Background: New-generation adjuvants for foot-and-mouth disease virus (FMDV) vaccines can improve the efficacy of existing vaccines. Chinese medicinal herb polysaccharide possesses better promoting effects. Objectives: In this study, the aqueous extract from Artemisia rupestris L. (AEAR), an immunoregulatory crude polysaccharide, was utilized as the adjuvant of inactivated FMDV vaccine to explore their immune regulation roles. Methods: The mice in each group were subcutaneously injected with different vaccine formulations containing inactivated FMDV antigen adjuvanted with three doses (low, medium, and high) of AEAR or AEAR with ISA-206 adjuvant for 2 times respectively in 1 and 14 days. The variations of antibody level, lymphocyte count, and cytokine secretion in 14 to 42 days after first vaccination were monitored. Then cytotoxic T lymphocyte (CTL) response and antibody duration were measured after the second vaccination. Results: AEAR significantly induced FMDV-specific antibody titers and lymphocyte activation. AEAR at a medium dose stimulated Th1/Th2-type response through interleukin-4 and interferon-γ secreted by CD4+ T cells. Effective T lymphocyte counts were significantly elevated by AEAR. Importantly, the efficient CTL response was remarkably provoked by AEAR. Furthermore, AEAR at a low dose and ISA-206 adjuvant also synergistically promoted immune responses more significantly in immunized mice than those injected with only ISA-206 adjuvant and the stable antibody duration without body weight loss was 6 months. Conclusions: These findings suggested that AEAR had potential utility as a polysaccharide adjuvant for FMDV vaccines.

Soft‑template‑assisted synthesis of N‑doping layered CoS2 nanoparticles as an advanced anode for sodium‑ion batteries

Danyang Han,Guo Yu,An Liu,Gangyong Li,Wei Wang,Binhong He,Zhaohui Hou,Hong Yin 한국탄소학회 2023 Carbon Letters Vol.33 No.6

As a promising anode for sodium-ion batteries (SIBs), cobalt sulfide ( CoS2) has attracted extensive attention due to its high theoretical capacity, easy preparation, and superior electrochemical activity. However, its intrinsic low conductivity and large volume expansion result in poor cycling ability. Herein, nitrogen-doped carbon-coated CoS2 nanoparticles (N–C@ CoS2) were prepared by a C3N4 soft-template-assisted method. Carbon coating improves the conductivity and prevents the aggregation of CoS2 nanoparticles. In addition, the C3N4 template provides a porous graphene-like structure as a conductive framework, affording a fast and constant transport path for electrons and void space for buffering the volume change of CoS2 nanoparticles. Benefitting from the superiorities, the Na-storage properties of the N–C@CoS2 electrode are remarkably boosted. The advanced anode delivers a long-term capacity of 376.27 mAh g? 1 at 0.1 A g? 1 after 500 cycles. This method can also apply to preparing other metal sulfide materials for SIBs and provides the relevant experimental basis for the further development of energy storage materials.

Research on a Point Cloud Registration Method of Mobile Laser Scanning and Terrestrial Laser Scanning

Bori Cong,Qingying Li,Rufei Liu,Fei Wang,Danyang Zhu,Jiben Yang 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.12

Mobile laser scanning can quickly and dynamically obtain a wide range of urban scene point clouds. However, due to factors such as occlusion and field of view limitation, it needs to be supplemented by terrestrial laser scanning. The acquisition methods and data quality of mobile point clouds and terrestrial point clouds are quite different, the target of urban scene point clouds is complex and diverse, and the corresponding feature is difficult to extract, so the point cloud fusion is difficult. To this end, a point cloud registration method of mobile and terrestrial scanning based on the target features of artificial ground objects is proposed. Firstly, the data features of mobile laser scanning point clouds and terrestrial laser scanning point clouds are analyzed, and the point clouds are diluted with equal density. Then, the artificial ground objects are extracted as the registration primitives to reduce the scene complexity, and the features of urban scenes and the features of point cloud eigenvalues and principal curvature attributes are analyzed. Combined with the octree voxel index, the multi-scale key point extraction method is constructed to extract the multi-scale key points of registration primitives. Finally, the key point constraint is used to improve the deficiencies of 4PCS (4-Points Congruent Sets) algorithm and ICP (Iterative Closest Point) algorithm to complete the registration of mobile and terrestrial point clouds in different road scenes. Experiments show that the point cloud registration accuracy can reach 2.6 cm, which provides a feasible method for high precision fusion of multi-platform laser point clouds.

Self-supervised feature matched virtual try-on

Jiang Shiyi,Xu Yang,Li Danyang,Fan Runze 한국CDE학회 2023 Journal of computational design and engineering Vol.10 No.5

Virtual try-on is a technology that enables users to preview the effect of wearing a target garment without wearing the actual garment. However, existing image-based virtual try-on methods often require additional human parsing or segmentation operations to generate intermediate representations required for garment deformation and texture fusion. These operations not only increase the computational complexity and memory consumption, but also limit the real-time and portability of virtual try-on. Additionally, inaccurate parsing results can lead to misleading final generated images. To overcome these challenges, we propose a self-supervised feature matched virtual try-on network, which can directly generate high-quality try-on results from human body images and target clothing images without any additional input. Specifically, we design an optical flow warp module, which focuses on the optical flow changes between the person image and the clothing image to achieve accurate clothing alignment and deformation. Furthermore, a feature refine warp module is designed to enhance the features of the extracted optical flow information and the original character segmentation and analysis operations, reducing the influence of background clutter features on the content, and ensuring that the wrinkles and deformation of the replacement clothes are close to the original clothes. The feature match module is developed to calculate the feature matching loss of the converted clothing and the generated results of the teacher network and the student network, and the corresponding knowledge is distilled and passed to the student network to assist in self-supervised training. We conduct experiments on the VITON dataset and show that our model can generate high quality and high resolution, and our proposed method outperforms the state-of-the-art virtual try-on methods both qualitatively and quantitatively.