Song Miaomiao

• Doctor of Engineering
• Research Associate at Qilu University of Technology (Shandong Academy of Sciences)

Ocean moored buoys are essential ocean monitoring devices that are permanently moored in the sea to collect real-time hydrological and meteorological data. In response to the anomalies and missing data in datasets collected from ocean moored buoys, this paper innovatively established an intelligent quality control Transformer-Encoder-BiLSTM model....

In this study, a diagnostic model for lower atmospheric ducts was developed using the polar weather research and forecasting model. A five-year simulation was then conducted across the entire Arctic region to investigate the temporal and spatial characteristics of lower atmospheric ducts. The model demonstrated excellent performance in simulating m...

Waves are crucial in ocean observation and research. Stereo vision-based wave measurement, offering non-contact, low-cost, and intelligent processing, is an emerging method. However, improving accuracy remains a challenge due to wave complexity. This paper presents a novel approach to measure wave height, period, and direction by combining deep lea...

Accurately predicting the long-term trajectory of a surface drifting buoy (SDB) is challenging. This paper proposes a promising solution to the SDB trajectory prediction based on artificial intelligence (AI) technologies. Initially, a scalable mathematical model for trajectory prediction is developed, transforming the challenge of predicting trajec...

The stability and reliability of sensors significantly influence the quality of the ocean buoy data. The long-time submersion of sensors increases the risk of biofouling, leading to a decline in data quality and malfunctions. To resolve this problem, this paper presents an automatic seawater sampling and drainage system based on the formation princ...

This research is motivated by the practical requirements in the sustainable deployment of ocean moored buoy observing networks. Ocean moored buoys play an important role in the global marine environment monitoring. Ocean buoy station layout planning is a typical multiple-objective spatial optimization problem that aims to reduce the spatial correla...

Offshore air temperature is an important parameter in marine scientific research. The change of offshore air as an indicator of the marine ecological environment is not only related to the growth of offshore organisms but also affects the development of the marine economy. Effective prediction of offshore air temperature is significant. The predict...

Ocean-moored buoys play an important role in global ocean environment monitoring. Motivated by building a sustainable ocean buoy observational network, a spatial optimization approach is proposed to site buoy stations to maximize spatial monitoring efficiency (SME). To achieve this goal, a non-linear, continuous maximum coverage location model name...

The proliferation of geospatial data from diverse sources, such as Earth observation satellites, social media, and unmanned aerial vehicles (UAVs), has created a pressing demand for cross-platform data integration, interoperation, and intelligent data analysis. To address this big data challenge, this paper reports our research in developing a rule...

Oceanographic sciences are facing big challenges due to the deluge of big data. As of 2010, the amount of new data stored in the world main countries, led by the US, has grown over 7 exabytes. Although the computer hardware is quickly evolving, with faster processor frequency, multi-core technology, and larger memory, traditional reprocessing parad...

This paper reports our research in developing a cyberinfrastructure platform to support multivariate visualization of data collected from distributed sensor network. Three new techniques were introduced in this platform: (1) a hybrid data caching strategy that takes advantages of a scalable and distributed time series database, OpenTSDB, to realize...

The vastness of ocean decides ocean observation data is spatially distributed and temporally continuous. As the ocean-observing means becomes much diverser, mass ocean observation data is accumulated. These data are heterogeneous and distributive, so the utilization of ocean observation data occurs many difficulties Focusing on heterogeneous and ge...

The platform of China Geological Survey Information Grid (CGSI Grid) which is constructed in the distributed heterogeneous network environment is confronted with troubles of discovering, exchanging and describing spatial Data, because it is distributed in different grid nodes and of different formats and types. In order to solve these problems, Ont...

The spatial data sharing mechanisms is important in the technical infrastructure of cloud computing or GRID computing, Many researchers have focused on the centralized resource pool and global-local two-layer model but little work considers the availability and practicability of universal discovery description and integration and mechanisms of supp...

In this paper, Aiming at the characteristic of simple feature class polygon aggregation in multi-core environment, the improved algorithm divides spatial data for the polygon in simple feature class using STR (Sort-Tile-Recursive) tree index, it reduces the number of reading disk during searching polygons in the spatial database. The algorithm is b...

In the platform of China Geological Survey Information Grid(CGSIG), variety of spatial data of large storage capacity and different data format and spatial services which are various and powerful are collected and put together, therefore it needs a effective mechanism to store, manage, retrieve and discover these geo-resources. Catalogue Service Sy...

Spatial information grid is established in the environment of distributed grid. With the capability of offering required services, it can immediately customize specific services and resolve the problem in sharing and cooperation of distributed massive heterogeneous spatial data. Based on spatial information grid, aim of resource and information sha...