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Three-Dimensional Ocean Sensor Networks:A Survey

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Journal of Ocean University of China 2012年第4期11卷 436-450页

作者： WANG Yu LIU Yingjian guo zhongwen Department of Computer Science University of North Carolina at Charlotte Charlotte North Carolina 28223 USA Department of Computer Science and Technology Ocean University of China Qingdao 266100 P. R. China

The past decade has seen a growing interest in ocean sensor networks because of their wide applications in marine research,oceanography,ocean monitoring,offshore exploration,and defense or homeland *** sensor networks are generally formed with various ocean sensors,autonomous underwater vehicles,surface stations,and research *** make ocean sensor network applications viable,efficient communication among all devices and components is *** to the unique characteristics of underwater acoustic channels and the complex deployment environment in three dimensional(3D) ocean spaces,new efficient and reliable communication and networking protocols are needed in design of ocean sensor *** this paper,we aim to provide an overview of the most recent advances in network design principles for 3D ocean sensor networks,with focuses on deployment,localization,topology design,and position-based routing in 3D ocean spaces.

关键词：传感器网络海洋学三维自治水下机器人网络应用海洋空间网络设计海洋监测

OceanRoute: Vessel Mobility Data Processing and Analyzing Model Based on MapReduce

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Journal of Ocean University of China 2018年第3期17卷 594-602页

作者： LIU Chao LIU Yingjian guo zhongwen JING Wei Department of Computer Science and Technology Ocean University of China

The network coverage is a big problem in ocean communication, and there is no low-cost solution in the short term. Based on the knowledge of Mobile Delay Tolerant Network(MDTN), the mobility of vessels can create the chances of end-to-end communication. The mobility pattern of vessel is one of the key metrics on ocean MDTN network. Because of the high cost, few experiments have focused on research of vessel mobility pattern for the moment. In this paper, we study the traces of more than 4000 fishing and freight vessels. Firstly, to solve the data noise and sparsity problem, we design two algorithms to filter the noise and complement the missing data based on the vessel's turning feature. Secondly, after studying the traces of vessels, we observe that the vessel's traces are confined by invisible boundary. Thirdly, through defining the distance between traces, we design MR-Similarity algorithm to find the mobility pattern of vessels. Finally, we realize our algorithm on cluster and evaluate the performance and accuracy. Our results can provide the guidelines on design of data routing protocols on ocean MDTN.

关键词：活动性容器数据处理分析基模型度量标准路由协议海洋

DPOI: Distributed Software System Development Platform for Ocean Information Service

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Journal of Ocean University of China 2015年第1期14卷 65-74页

作者： guo zhongwen HU Keyong JIANG Yongguo SUN Zhaosui College of Information Science and Engineering Ocean University of China College of Computer Engineering Qingdao Technological University

Ocean information management is of great importance as it has been employed in many areas of ocean science and technology. However, the developments of Ocean Information Systems(OISs) often suffer from low efficiency because of repetitive work and continuous modifications caused by dynamic requirements. In this paper, the basic requirements of OISs are analyzed first, and then a novel platform DPOI is proposed to improve development efficiency and enhance software quality of OISs by providing off-the-shelf resources. In the platform, the OIS is decomposed hierarchically into a set of modules, which can be reused in different system developments. These modules include the acquisition middleware and data loader that collect data from instruments and files respectively, the database that stores data consistently, the components that support fast application generation, the web services that make the data from distributed sources syntactical by use of predefined schemas and the configuration toolkit that enables software customization. With the assistance of the development platform, the software development needs no programming and the development procedure is thus accelerated greatly. We have applied the development platform in practical developments and evaluated its efficiency in several development practices and different development approaches. The results show that DPOI significantly improves development efficiency and software quality.

关键词：系统开发平台海洋科学分布式软件信息服务应用开发平台海洋信息系统软件质量开发效率

Research of Marine Sensor Web Based on SOA and EDA

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Journal of Ocean University of China 2015年第2期14卷 261-268页

作者： JIANG Yongguo DOU Jinfeng guo zhongwen HU Keyong Department of Computer Science and Technology College of Information Science and Engineering Ocean University of China Shandong Provincial Key Laboratory of Marine Ecology and Environment and Disaster Prevention and Mitigation

A great deal of ocean sensor observation data exists, for a wide range of marine disciplines, derived from in situ and remote observing platforms, in real-time, near-real-time and delayed mode. Ocean monitoring is routinely completed using sensors and instruments. Standardization is the key requirement for exchanging information about ocean sensors and sensor data and for comparing and combining information from different sensor networks. One or more sensors are often physically integrated into a single ocean ‘instrument' device, which often brings in many challenges related to diverse sensor data formats, parameters units, different spatiotemporal resolution, application domains, data quality and sensors protocols. To face these challenges requires the standardization efforts aiming at facilitating the so-called Sensor Web, which making it easy to provide public access to sensor data and metadata information. In this paper, a Marine Sensor Web, based on SOA and EDA and integrating the MBARI's PUCK protocol, IEEE 1451 and OGC SWE 2.0, is illustrated with a five-layer architecture. The Web Service layer and Event Process layer are illustrated in detail with an actual example. The demo study has demonstrated that a standard-based system can be built to access sensors and marine instruments distributed globally using common Web browsers for monitoring the environment and oceanic conditions besides marine sensor data on the Web, this framework of Marine Sensor Web can also play an important role in many other domains' information integration.

关键词：传感器网络海洋学 EDA SOA Web浏览器元数据信息海洋仪器信息集成

FVID: Fishing Vessel Type Identification Based on VMS Trajectories

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Journal of Ocean University of China 2019年第2期18卷 403-412页

作者： HUANG Haiguang HONG Feng LIU Jing LIU Chao FENG Yuan guo zhongwen College of Information Science and Engineering Ocean University of China Wenzhou Ocean and Fishery Vessel Safety Rescue Information Center

Vessel Monitoring System(VMS) provides a new opportunity for quantified fishing research. Many approaches have been proposed to recognize fishing activities with VMS trajectories based on the types of fishing vessels. However, one research problem is still calling for solutions, how to identify the fishing vessel type based on only VMS trajectories. This problem is important because it requires the fishing vessel type as a preliminary to recognize fishing activities from VMS trajectories. This paper proposes fishing vessel type identification scheme(FVID) based only on VMS trajectories. FVID exploits feature engineering and machine learning schemes of XGBoost as its two key blocks and classifies fishing vessels into nine types. The dataset contains all the fishing vessel trajectories in the East China Sea in March 2017, including 10031 pre-registered fishing vessels and 1350 unregistered vessels of unknown types. In order to verify type identification accuracy, we first conduct a 4-fold cross-validation on the trajectories of registered fishing vessels. The classification accuracy is 95.42%. We then apply FVID to the unregistered fishing vessels to identify their types. After classifying the unregistered fishing vessel types, their fishing activities are further recognized based upon their types. At last, we calculate and compare the fishing density distribution in the East China Sea before and after applying the unregistered fishing vessels, confirming the importance of type identification of unregistered fishing vessels.

关键词： VMS vessel type identification fishing density trajectory analysis classification

Reconstruction Model of Ocean Observing Complex Virtual Instrument

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Journal of Ocean University of China 2018年第5期17卷 1159-1170页

作者： QIU Zhijin guo zhongwen WANG Yu HU Tong LIU Chao LI Ting Institute of Oceanographic Instrumentation Qilu University of Technology(Shandong Academy of Sciences) Department of Computer Science and Technology College of Information Science and EngineeringOcean University of China Department of Computer Science College of Computing and InformaticsUniversity of North Carolina at Charlotte

With the newly proposed Global Ocean Observing Integration,ocean observing scope has been expanded from the region to the global,therefore the need of large-scale ocean observing system integration has become more and more ***,ocean observing systems enabled ocean sensor networks are commonly developed by different organizations using specific technologies and platforms,which brings several challenges in ocean observing instrument(OOI) access and ocean observing system seamless ***,the development of ocean observing systems often suffers from low efficiency due to the complex programming and debugging *** solve these problems,a novel model,Complex Virtual Instrument(CVI) Model,is *** model provides formal definitions on observing instrument description file,CVI description file,model calculation method,development model and interaction *** addition,this model establishes mathematical expressions of two model calculation operations,meanwhile builds the mapping relationship between observing instrument description file and CVI description *** CVI based on the new model can achieve automatic access to different OOIs,seamless integration and communication for heterogeneous environments,and further implement standardized data access and management for the global unified ocean observing *** the development,integration and application of such CVI,the rationality and feasibility of the model have been *** results confirm that the proposed model can effectively implement heterogeneous system integration,improve development efficiency,make full usage of reusable components,reduce development cost,and enhance overall software system *** believe that our new model has great significance to promote the large-scale ocean observing system integration.

关键词：重建模型全球海洋虚拟仪器传感器网络观察系统观察仪器数据存取统集成

Distinct Effects of Three Tea Varieties Made Green Teas on Improving Diabetic Dyslipidemia Induced by High-Fat Diet in C57BL/6J Mice

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Food Science and Human Wellness 2024年

作者： Wei Gu Zhutong Wang guohuo Wu Huimin guo Huijun Cheng Cong Li Linbo Chen Daxiang Li zhongwen Xie State Key Laboratory of Tea Plant Biology and Utilization School of Tea and Food Sciences & Technology Anhui Agricultural University Center for Biotechnology Anhui Agricultural University College of Life Sciences Anhui Agricultural University Tea Research Institute Yunnan Academy of Agricultural Sciences

Currently， cultivated tea plants are classified into three varieties， namely， C. sinensis var. sinensis， C. sinensis var. assamica， and C. sinensis var. kucha. Three tea varieties made green teas (TVGTs) are widely consumed worldwide. However， a comparative investigation of the beneficial effects， mechanism， and characteristic compounds of TVGTs has not been reported. Here， three representative tea plant varieties， namely， C. sinensis var. sinensis cv. Fuding (FD)， C. sinensis var. assamica cv. Yunkang 10 (YK)， and C. sinensis var. kucha (KC)， planted in the same garden， were used to make green teas utilizing the same standard procedure. Our findings show that the TVGTs effectively improved hyperglycemia， obesity， dyslipidemia， fatty liver， and mesenteric artery (MA) hypercontractility in mice with diabetes and obesity induced by a high-fat diet (HFD) after 11- and 22-week interventions， with YK being the most effective at 22 weeks. Liver lipidomics indicated that the TVGTs restored the glycerophospholipid and sphingolipid balance and reduced triglycerides， with YK demonstrating superior effects. The TVGTs， particularly YK， suppressed triglyceride synthesis through the ARV1-FXR-SHP-SREBP-1c pathway. A chemical profile analysis revealed that YK green tea had enriched active compounds， including caffeine， quinic acid， L-theanine， gallic acid， and catechins， compared with FD and KC green teas， which may contribute to ameliorating diabetic dyslipidemia via synergistic action. As a representative tea variety of C. sinensis var. assamica， YK green tea was found to be superior to the other two green teas in preventing and treating diabetic dyslipidemia， especially with long-term consumption. These data provide important information for tea plant breeders and tea consumers.

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Path Planning and Navigation of Oceanic Autonomous Sailboats and Vessels: A Survey

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Journal of Ocean University of China 2020年第3期19卷 609-621页

作者： JING Wei LIU Chao LI Ting RAHMAN A B M Mohaimenur XIAN Lintao WANG Xi WANG Yu guo zhongwen BRENDA Gumede TENDAI Wachi Kelvin Department of Computer Fundamentals Ocean University of ChinaQingdao 266100China College of Information Science and Engineering Ocean University of ChinaQingdao 266100China Department of Computer Science University of North Carolina at CharlotteCharlotteNC 28233USA Department of Computer and Information Sciences Temple UniversityPhiladelphiaPennsylvania 19122USA

Oceanic autonomous surface vehicles(ASVs) are one kind of autonomous marine robots that have advantages of energy saving and is flexible to use. Nowadays, ASVs are playing an important role in marine science, maritime industry, and national defense. It could improve the efficiency of oceanic data collection, ensure marine transportation safety, and protect national security. One of the core challenges for ASVs is how to plan a safe navigation autonomously under the complicated ocean environment. Based on the type of marine vehicles, ASVs could be divided into two categories: autonomous sailboats and autonomous vessels. In this article, we review the challenges and related solutions of ASVs' autonomous navigation, including modeling analysis, path planning and implementation. Finally, we make a summary of all of those in four tables and discuss about the future research directions.

关键词： autonomous sailboats autonomous vessels model analysis path planning

HSMA:面向物联网异构数据的模式分层匹配算法

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计算机研究与发展 2018年第11期55卷 2522-2531页

作者：郭帅郭忠文仇志金中国海洋大学信息科学与工程学院山东青岛266100

随着物联网技术的快速发展,万物互联已经成为必然趋势.物联网技术涉及智能家居、智慧交通等多个领域,使得人们能够随时随地地连接任何人或者设备.然而目前大多数物联网异构数据是孤立的存储,阻碍了万物互联的步伐.数据模式匹配被广泛应... 详细信息

随着物联网技术的快速发展,万物互联已经成为必然趋势.物联网技术涉及智能家居、智慧交通等多个领域,使得人们能够随时随地地连接任何人或者设备.然而目前大多数物联网异构数据是孤立的存储,阻碍了万物互联的步伐.数据模式匹配被广泛应用于数据互联并且能够较好地解决以上问题.由于海量物联网数据的异构性以及高增长性,目前的模式匹配方式人工参与度高,与实际应用的契合度低,难以解决物联网新环境下的模式自动匹配问题.提出了一种面向物联网异构数据的模式分层匹配算法,构建3层映射匹配:特征分类匹配、关系特征聚类匹配和混合元素匹配.该算法通过逐层匹配,不断缩小匹配空间,从而提高了匹配质量,减少了元素间匹配次数和人工参与度,较好地实现了自动模式匹配.运用大量数据样本来检验算法的效率和性能,结果证明该算法可行有效.

关键词：物联网数据互联模式匹配异构数据时间序列