Effects of Different Live Food Extracts on Fish Attraction Activities

[Objective] This study was to determine the effect of green biological feeds that little affected natural environment on fish attraction activities with the aim to explore new research direction for the recreational fishing area. [Method] The ef- fective constituents of live natural foods, including chironomid larvae, earthworm, mussels, winkles, were separated by using soaking solution extraction and centrifu- gal extraction. The extracted live foods were used to attract the carp, young cru- cian, and fishes of 100-150 days old and over 1 year old, respectively. The feed nutrition formulation of the added food attractants was designed and applied to feed- ing in the aquaculture farm. The test results were practised in bait study to conduct field fishing test and collect the data. [Results] Compared with the control group, feeding with live foods had significantly improved the growth rates of fishes at dif- ferent ages, and greatly reduced food coefficients. [Conclusion] The feeds made from live food addictives had excellent attraction ability, which not only reduced the negative effects on natural environment but also made the aquaculture mode more organic and greener.

Put Others Before Itself:A Multi-Leader One-Follower Anti-Jamming Stackelberg Game Against Tracking Jammer

This paper mainly investigates the coordinated anti-jamming channel access problems in multiuser scenarios where there exists a tracking jammer who senses the spectrum and traces the channel with maximal receiving power.To cope with the challenges brought by the tracking jammer,a multi-leader onefollower anti-jamming Stackelberg(MOAS)game is formulated,which is able to model the complex interactions between users and the tracking jammer.In the proposed game,users act as leaders,chose their channel access strategies and transmit firstly.The tracking jammer acts as the follower,whose objective is to find the optimal jamming strategy at each time slot.Besides,the existence of Stackelberg equilibriums(SEs)is proved,which means users reach Nash Equilibriums(NEs)for each jamming strategy while the jammer finds its best response jamming strategy for the current network access case.An active attraction based anti-jamming channel access(3ACA)algorithm is designed to reach SEs,where jammed users keep their channel access strategies unchanged to create access chances for other users.To enhance the fairness of the system,users will adjust their strategies and relearn after certain time slots to provide access chances for those users who sacrifice themselves to attract the tracking jammer.