Project

Designing, implementing, and deploying a next generation oceanic information system

Goal: Designing, implementing, and deploying a next-generation oceanic information system is a key to future fisheries management. This project focuses on creating such a system, providing a basis for future development. Besides being extensible, stable, and easy to use, this system must also contain the following elements. It must use big data storage technologies, which allows sharding, parallelism, load balancing, and data integrity. The final system will integrate existing VDR databases with VMS database, fisheries management database, the Torch system, and report databases. The management component of this system will be designed according to the regulations and requirements of the government. We will also consider to process electronic files such as word and excel files and automatically parse them into the database to lessen human tasks.

We will also design the new way or integrate the existing way in which the electronic information is relayed into our system. Cross-references, assertions to input data will be conducted automatically to filter out problems early to conserve time and labor. Future management and research can take benefit from the completeness and speed with the establishment of this system.

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Project log

W.W.Y. Hsu
added a research item
The size overseas fisheries fleet of Taiwan ranks second in the world. Following the development of the DeepSea 9 (DS9), which is installed and operating at the Fisheries Monitoring Control (FMC) center at the Fisheries Agency, Council of Agriculture of Taiwan, overseas fisheries monitoring system has helped in preventing illegal, unreported, and unregulated using remote sensing means. Hence, the European Commission has lifted the yellow card warning in recognizing the progress that Taiwan made. However, DS9 still lacks eyes that CubeSats can provide. First, CubeSats can provide real-time images when it travels in the orbit and can be layered on DS9 to confirm fishing activities legitimacy. Second, CubeSats with sensors can detect climate and biological indices, i.e., ocean temperature and chlorophyll, to assist DS9 in predicting potential fishing grounds. Third, by continually monitoring the global weather, CubeSat can enhance DS9’s early warning system by providing weather data in much more detail and prompt manner. Last, as the global fisheries society and the regional fisheries management organizations are working on laws to enforce electronic monitoring systems onboard, relaying the information back to the DeepSea 9 is very costly by purchasing communication channels from other systems. For these systems to work, we need larger channels and bandwidths to transmit images captured by the electronic monitoring systems. With the installments of these capabilities in CubeSats, it can serve as an active sentry for the DS9 system in helping the management of Taiwan’s overseas fishery industry, which travels in every ocean around the world.
W.W.Y. Hsu
added a project goal
Designing, implementing, and deploying a next-generation oceanic information system is a key to future fisheries management. This project focuses on creating such a system, providing a basis for future development. Besides being extensible, stable, and easy to use, this system must also contain the following elements. It must use big data storage technologies, which allows sharding, parallelism, load balancing, and data integrity. The final system will integrate existing VDR databases with VMS database, fisheries management database, the Torch system, and report databases. The management component of this system will be designed according to the regulations and requirements of the government. We will also consider to process electronic files such as word and excel files and automatically parse them into the database to lessen human tasks.
We will also design the new way or integrate the existing way in which the electronic information is relayed into our system. Cross-references, assertions to input data will be conducted automatically to filter out problems early to conserve time and labor. Future management and research can take benefit from the completeness and speed with the establishment of this system.