Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
Reach Us +44-330-822-4832

GET THE APP

Fish Behavior Characterization Research In Aquaculture Pond With Mechanically Scanned Imaging Sonar | 66005
ISSN: 2332-2608

Journal of Fisheries & Livestock Production
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Journal of Fisheries & Livestock Production peer review process verified at publons
Indexed In
  • Index Copernicus
  • Google Scholar
  • Sherpa Romeo
  • Open J Gate
  • Academic Keys
  • Electronic Journals Library
  • RefSeek
  • Directory of Research Journal Indexing (DRJI)
  • Hamdard University
  • EBSCO A-Z
  • OCLC- WorldCat
  • Scholarsteer
  • SWB online catalog
  • Virtual Library of Biology (vifabio)
  • Publons
  • Euro Pub
  • Cardiff University
Share This Page

Fish behavior characterization research in aquaculture pond with mechanically scanned imaging sonar

6th Global Summit on Aquaculture and Fisheries 2017

Chih-yung Shen and Wen-Miin Tian

CNA, Taiwan National Sun Yat-sen University, Taiwan

ScientificTracks Abstracts: J Fisheries Livest Prod

DOI: 10.4172/2332-2608-C1-008

Abstract
For a comprehensive management of fishery aquaculture, knowledge regarding fish size, quantity and behavior in the pond or cage are important controlling parameters. However, due to the constraint of underwater environment, underwater information is hard to collect and controlling parameters for aquaculture management are basically measured or estimated through indirectly procedures. Underwater acoustic systems are standard tools for monitoring fish and other mobile objects in marine and freshwater environments. Among them, the mechanically scanned imaging sonar systems with bottom-fixed, side-looking working configuration can collect high resolution underwater imagery and were employed for the quantification of fish length, fish position, fish swimming speed as well as fish behavior pattern. The current research was conducted at a milk fish pond (85*52*2 m in dimensions, with 10,800 milk fish of 40~42 cm in length) in Mituo, Kaohsiung city, Taiwan, with emphasis in the quantification of fish length and fish behavior. The pond bank can be covered or depicted by the sonogram with slant range at 40 m. Acoustic imagery with slant range setting at 5 m was selected and used for the measurement of the acoustic fish length. The echo with spindle shape, relative strong intensity was identified to be a fish target. Target images that parallel to the scanning direction were selected for the evaluation of the fish true length. The conclusion of the calculated fish length, based on 116 measurements and a statistical estimation procedure, was 45.4 cm, which is close to the initially estimated fish length (40~42 cm). As fish behavior concerned, it was evident that fish swam counter-clockwise more frequently than swam clockwise in the acoustical scanning area and revealed the preferred swimming route or behavior of the fish in this specific monitoring time and area.
Biography

Chih-Yung Shen has his expertise in underwater targets detection, and behavior analysis by using acoustic, noninvasive method. He is an Instructor in Chinese Naval Academy, Kaohsiung, Taiwan and taught physics, investigated method and technology, and astronomy. He is also a PhD candidate majoring in Department of Marine Environment and Engineering in National Sun Yet-Sen University, Kaohsiung, Taiwan. The foundation is a methodology that detected, identified, located fish and analyzed the fish behavior pattern by using mechanical scanned sonar system. This approach is responsive to underwater targets detection methods which cannot be done before.

Email: chihyung0213@yahoo.com.tw

Top