• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.39 no.1
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• pp.50-55
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• 2003

In order to study on the improvement of gill nets and trap nets fishing for the management of fisheries resource in the coastal area of Yellow Sea, we have investigated the general present condition of those fishing, and the actual fishing operation of gill nets for croaker and trap nets for rock shell which is called the the other trap nets, and then measured the body length of croaker and blue shell caught by their fishing vessels. The results are as follows ; 1. The total number of permission for coastal fishing are 12,944 cases, but the number of operation for coastal fishing are 7,558 cases in the coastal area of Yellow Sea. Among the total number of permission, the gill nets fishing are 5,154 cases with 39.8% but even so the number of operation are 3,724 cases, the trap nets fishing are 1,025 cases with 7.6% but even so the number of operation are 662 cases. On the fishing ratio, the gill nets and trap nets fishing are comparatively higher than the other fishing with 72.3% and 64.6%, respectively. 2. The main fishing period of gill nets for croaker is from the middle of July to early of September, and the main fishing grounds are sandymud bottom of 15-50m in depth around the islands of southern parts of western coastal area, and the fishing operation carry out 1∼2 times per day in flood tide and nets hauling conduct in 1∼2 hours after drifting with current. 3. The distribution range of body length of 139 croakers, which are caught in the gill nets, are 43.0∼120.0㎝ and the mode is 85.0㎝. 4. The main fishing period of trap nets for rock shell which is called the other trap nets is all the year round except the catching period of blue crab from early of September to the middle of October, and the main fishing ground are the sandymud bottom of 10∼20m in depth, and nets hauling conduct in next day after nets casting. 5. The distribution range of maximum carapace of 5,372 rock shells are 4.5∼8.5㎝ and the mode is 7.5㎝.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.79-94
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• 2013

Recently, the high value added business is steadily growing in the culture and art area. To generated high value from a performance, the satisfaction of audience is necessary. The flow in a critical factor for satisfaction, and it should be induced from audience and measures. To evaluate interest and emotion of audience on contents, producers or investors need a kind of index for the measurement of the flow. But it is neither easy to define the flow quantitatively, nor to collect audience's reaction immediately. The previous studies of the group flow were evaluated by the sum of the average value of each person's reaction. The flow or "good feeling" from each audience was extracted from his face, especially, the change of his (or her) expression and body movement. But it was not easy to handle the large amount of real-time data from each sensor signals. And also it was difficult to set experimental devices, in terms of economic and environmental problems. Because, all participants should have their own personal sensor to check their physical signal. Also each camera should be located in front of their head to catch their looks. Therefore we need more simple system to analyze group flow. This study provides the method for measurement of audiences flow with group synchronization at same time and place. To measure the synchronization, we made real-time processing system using the Differential Image and Group Emotion Analysis (GEA) system. Differential Image was obtained from camera and by the previous frame was subtracted from present frame. So the movement variation on audience's reaction was obtained. And then we developed a program, GEX(Group Emotion Analysis), for flow judgment model. After the measurement of the audience's reaction, the synchronization is divided as Dynamic State Synchronization and Static State Synchronization. The Dynamic State Synchronization accompanies audience's active reaction, while the Static State Synchronization means to movement of audience. The Dynamic State Synchronization can be caused by the audience's surprise action such as scary, creepy or reversal scene. And the Static State Synchronization was triggered by impressed or sad scene. Therefore we showed them several short movies containing various scenes mentioned previously. And these kind of scenes made them sad, clap, and creepy, etc. To check the movement of audience, we defined the critical point, ${\alpha}$and ${\beta}$. Dynamic State Synchronization was meaningful when the movement value was over critical point ${\beta}$, while Static State Synchronization was effective under critical point ${\alpha}$. ${\beta}$ is made by audience' clapping movement of 10 teams in stead of using average number of movement. After checking the reactive movement of audience, the percentage(%) ratio was calculated from the division of "people having reaction" by "total people". Total 37 teams were made in "2012 Seoul DMC Culture Open" and they involved the experiments. First, they followed induction to clap by staff. Second, basic scene for neutralize emotion of audience. Third, flow scene was displayed to audience. Forth, the reversal scene was introduced. And then 24 teams of them were provided with amuse and creepy scenes. And the other 10 teams were exposed with the sad scene. There were clapping and laughing action of audience on the amuse scene with shaking their head or hid with closing eyes. And also the sad or touching scene made them silent. If the results were over about 80%, the group could be judged as the synchronization and the flow were achieved. As a result, the audience showed similar reactions about similar stimulation at same time and place. Once we get an additional normalization and experiment, we can obtain find the flow factor through the synchronization on a much bigger group and this should be useful for planning contents.