Received two awards at the Technical College Wireless IoT Contest 2022

 This time, two ideas proposed by our school were awarded at the "Technical College Wireless IoT Contest: WiCON 2022".
 WiCON2022 is a public call for proposals from students of technical colleges nationwide to promote the effective use of radio waves in the region, solve regional issues, and create new services with original ideas. It will be a contest to demonstrate the technology and judge the results. WiCON2022 consists of two divisions, "Radio Wave Effective Utilization Technology Division" and "Radio Wave Utilization System Utilization Division", and two proposals from our school were awarded in the "Radio Wave Utilization System Utilization Division".

[Award details]
〇Umi no Work Style Reform Grand Prize
Team name: masuyama-lab.teichi
Proposal name: Small set net fishing support system for female fishermen
(Overview)
 This proposal is an effort to support female fishermen in fishing with small set nets.We have constructed a real-time monitoring system using underwater cameras for set-net fishing in various parts of Japan, and are taking on the challenge of catching fish when they are sure to catch.However, due to the structure of the net, the entrance is left open except when the entrance is pulled up, so fish that have entered the net may escape.Therefore, by realizing the closing function of the box net, we will build a mechanism that does not let the fish that have entered the net escape.

〇 Oceanographic Monitoring Utilization Grand Prize
Team name: nakakoga-lab
Proposal name: Three-dimensional oceanographic monitoring of Ago Bay and Matoya Bay using oceanographic observation equipment via LPWA communication
(Overview)
 Ago Bay and Matoya Bay in Mie Prefecture are culturing areas for Akoya oysters to produce pearls, but in recent years, a large number of bivalves have died due to rising water temperature and lack of oxygen in the bay. .Therefore, in this proposal, for the purpose of investigating the optimal aquaculture environment in the bay and predicting the risk of mortalities in advance, a large number of oceanographic observation devices that transmit oceanographic data via LPWA communication will be installed in the bay, and the oceanographic conditions at each depth at each point will be analyzed. Based on the data, patterns of sea conditions in the entire bay are estimated, and three-dimensional sea conditions including water depth are monitored in real time.

masuyama-lab.teichi commendation (represented by Associate Professor Nakaga (right))

nakakoga-lab commendation (Associate Professor Nakakoga (right))

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