scholarly journals Verification of the Deck Arrangement of a Small-Scale Trawl Fishing Boat Using Virtual Space Simulation Technique

2021 ◽  
Vol 145 (0) ◽  
pp. 12-18
Author(s):  
Hideyuki TAKAHASHI ◽  
Jun MIYOSHI ◽  
Ryuzo TAKAHASHI ◽  
Kenji YASUDA
Keyword(s):  
Simulation Technique ◽  
Virtual Space ◽  
Small Scale ◽  
Fishing Boat ◽  
Trawl Fishing

scholarly journals Quantitative Estimates of Improvements of Deck Arrangements of Fishing Boat Using a Virtual Space Simulation Technique

2012 ◽  
Vol 127 (0) ◽  
pp. 89-94
Author(s):  
Hideyuki TAKAHASHI ◽  
Yoshihiro NOZAWA ◽  
Reiko FUSEYA ◽  
Kazutoshi WATANABE
Keyword(s):  
Simulation Technique ◽  
Virtual Space ◽  
Fishing Boat ◽  
Quantitative Estimates

scholarly journals CHARACTERISTIC OF SMALL SCALE TUNA FISHERIES ASSOCIATED WITH FADs IN LABUHAN LOMBOK, WEST NUSA TENGGARA-INDONESIA

2019 ◽  
Vol 25 (1) ◽  
pp. 45
Author(s):  
Fathur Rochman ◽  
Irwan Jatmiko ◽  
Zulkarnaen Fahmi
Keyword(s):  
Species Richness ◽  
Small Scale ◽  
Fish Diversity ◽  
Fishing Boat ◽  
Tuna Fisheries ◽  
Distribution Type ◽  
Catch Composition ◽  
Ecological Pressure ◽  
Fish Aggregating Devices ◽  
Fish Productivity

Fish aggregating devices, or FADs are used extensively in developing countries to attract and to collect pelagic fish and give positive impacts on fish production. Use of FADs has started in early 20th century with different names among the countries and regions. This study investigated the design, deployment, distribution, density and the number of FADs used by small scale tuna fisherman in Labuhan Lombok, including characteristics of fishing boat, fishing gear, catch composition, catch per unit of effort (CPUE), fish diversity and species richness. There were 65 FADs identified in this study and 47 of them were in normal distribution. Type of the FADs used was anchored FADs, spreading between 56.63 to 267.70 NM from Labuhan Lombok fishing port. The placement of FADs were arranged in such a way as to resemble a fence, in which the distance from one to another was close. It is expected to disrupt tuna movement towards the strait in the small islands around West Nusa Tenggara. The dimensional size of vessels used to catch fish was small boat (< 7 GT) with handline as fishing gears. Fish catches were dominated by skipjack (40.30%) followed by yellowfin tuna (30.90%), tuna juvenile (13.44%), frigate tuna (4.19%), albacore (3.41%), bigeye tuna (2.71%) and others (5.03%). The highest nominal CPUE occurred in January and February, accounted for 278 kg and 285 kg per day at sea respectively. The average diversity of fish and species richness in FADs area were 1.07674 and 1.3573 correspondingly. Overall results inform that diversity of fish, productivity and ecosystem were at sufficient condition and mid ecological pressure but species richness was in low condition. If this continues, it is possible that tuna diversity will decrease and endanger the survival of tuna species and others species related to the tuna.

scholarly journals Virtual Class Management

2021 ◽  
Vol 97 ◽  
pp. 01023
Author(s):  
Margarita Kiseleva ◽  
Victoria Pogosian
Keyword(s):  
Virtual Space ◽  
University Teaching ◽  
Small Scale ◽  
Teaching Staff ◽  
Online Classes ◽  
Learning Platform ◽  
Main Challenge ◽  
Class Management ◽  
Virtual Class ◽  
On Line

The COVID-19 outbreak locked down the university classrooms and transferred the teaching and learning activities to a virtual space. This paper discusses the challenges the teachers faced due to this dramatic transfer from habitual classrooms to virtual on-line classes. This small-scale empirical research focuses on two research questions: Which challenges and problems did the teachers face, which solutions did they find to overcome them? The study also investigates the techniques of synchronous on-line classes management employed by the teachers after the COVID-19 restrictions were imposed on traditional delivery modes in higher education. The data were collected through semi-structured interviews with 10 university teaching staff members who commenced giving online classes in March 2020. The research findings revealed that the main challenge for teachers was to find a learning platform providing videoconferencing tools, and the solutions were found basically through asking their colleagues for advice. The findings also identified one of the teachers’ concerns related to handling students’ misbehaviour during online classes, and a general need in developing teachers’ virtual class management skills.

scholarly journals Designs and configurations of small-scale otter trawl fishing gear used in Ise-wan Bay, Aichi, Japan

2005 ◽  
Vol 71 (3) ◽  
pp. 318-327 ◽  
Author(s):  
YOSHIKI MATSUSHITA ◽  
TAISEI KUMAZAWA ◽  
MINORU TOMIYAMA ◽  
KAORU FUJITA ◽  
SHINTARO YAMASAKI
Keyword(s):  
Otter Trawl ◽  
Small Scale ◽  
Fishing Gear ◽  
Trawl Fishing

A novel integrated radar sounder simulation technique for modelling large and small-scale surface scattering phenomena.

2021 ◽  
Author(s):  
Elisa Sbalchiero ◽  
Sanchari Thakur ◽  
Marco Cortellazzi ◽  
Lorenzo Bruzzone
Keyword(s):  
Simulation Technique ◽  
Surface Scattering ◽  
Small Scale ◽  
Radar Sounder ◽  
Scale Surface

Profitability analysis of small-scale fishing along Coastal Areas of Ondo State, Nigeria

2021 ◽  
Vol 20 (1) ◽  
pp. 41-50
Author(s):  
S.S. Ashley-Dejo ◽  
O.A.B. Adelaja
Keyword(s):  
Sampling Procedure ◽  
Coastal Areas ◽  
Small Scale ◽  
Cost Ratio ◽  
Output Level ◽  
Gross Margin ◽  
Benefit Cost Ratio ◽  
Fishing Boat ◽  
Profitability Analysis ◽  
Ondo State

This study evaluated the profitability analysis of small-scale fishing along coastal areas of Ondo State, Nigeria. Structured questionnaire was used to collect data from 400 small-scale fishermen which were selected via multi-stage sampling procedure. Data collected was analyzed using descriptive statistics and profitability indicators. Results revealed that mean age of respondents was 39 years, among the fixed assets for fishing, outboard engine has the largest percentage cost (88.32%) while among variable assets, fuel has the largest percentage cost (67.16%). Profitability indicators such as Benefit Cost Ratio (BCR) 1.29, Gross margin ₦1,261,476.60k/fisherman/year, Return on Investment (ROI) 0.29, Net Profit Margin (NPM) 0.23 and Gross Revenue Ratio (GRR) 0.77 were used to estimate the profitability of small-scale fishing. The findings further revealed that fishing boat (1.284), outboard engine (0.352), fishing nets (1.342) and fuel (0.193) were positively and statistically significant at p<0.05 level with fish output level while accessories (floats, sinks and hooks) (0.142) was positively and statistically significant at p<0.1 with fish output level. The R2 value was 72.1% showing that the independent variable was well explained by the exogenous variables. Problems encountered by small-scale fishermen include inadequate infrastructural facilities, poor road networking system and inadequate credit facilities. Based on the findings, it was recommended that small-scale fishermen should organize themselves into cooperatives in order to increase their credit accessibility. Likewise, government should embark on construction of good road network in order to ease transportation of fish harvested to the neighboring towns.

scholarly journals ANALISIS OPTIMASI ARMADA PENANGKAPAN MADIDIHANG SKALA KECIL DI KABUPATEN SERAM BAGIAN BARAT (Fishing Fleet Optimization Analysis of Small Scale Yellowfin Tuna in West Seram Regency)

2016 ◽  
Vol 5 (2) ◽  
pp. 129
Author(s):  
Ruslan H.S. Tawari ◽  
Domu Simbolon ◽  
Ari Purbayanto ◽  
Am Azbas Taurusman
Keyword(s):  
Goal Programming ◽  
Optimum Allocation ◽  
Small Scale ◽  
Actual Number ◽  
Optimization Analysis ◽  
Fishing Fleet ◽  
Fish Resources ◽  
Fishing Boat ◽  
Linear Goal Programming ◽  
Fishing Area

<p>ABSTRACT<br />Optimum allocation of catching fleet must be determined optimally so that the level of utilization of fish resources is not excessive and prevent horizontal conflicts among fishermen in getting the same fishing area in the future. This study aims to determine the optimum allocation of catching yellowfin small-scale units in the district of West Seram. Research using the linear goal programming (LGP). To optimize the number of fishing unit, this study suggested that increasing number of the 40 HP fishing boat size from 25 to 38 units, while for the boat of 18 and 15 HP sizes should be maintained on the actual number of 55 and 45 units, respectively. The allocation does not reduce unit allocation of certain existing arrest, thus avoiding conflict and socially friendly.</p><p>Keywords: allocation, optimum, fishing fleet, small-scale</p><p>-------</p><p><br />ABSTRAK</p><p>Alokasi optimum armada penangkapan harus ditentukan secara optimal agar tingkat pemanfaatan potensi sumber daya ikan tidak berlebihan dan mencegah timbulnya konflik horizontal antar nelayan dalam memperebutkan daerah penangkapan yang sama di kemudian hari. Penelitian ini bertujuan menentukan alokasi optimum unit penangkapan madidihang skala kecil di Kabupaten Seram Bagian Barat. Penelitian menggunakan metode Linier Goal Programming (LGP). Optimasi unit penangkapan madidihang, menunjukkan terjadi peningkatan pada alokasi unit penangkapan armada 40 PK dari 25 unit menjadi 38 unit, sedangkan armada 18 PK dan armada 15 PK dipertahankan sesuai kondisi aktualnya masing-masing 55 unit dan 45 unit. Pengaturan alokasi ini tidak mengurangi alokasi unit penangkapan tertentu yang sudah ada, sehingga menghindari konflik dan ramah secara sosial.</p><p><br />Kata kunci: alokasi, optimum, armada penangkapan, skala kecil</p>

scholarly journals Automated Container Terminal Production Operation and Optimization via an AdaBoost-Based Digital Twin Framework

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Yu Li ◽  
Daofang Chang ◽  
Yinping Gao ◽  
Ying Zou ◽  
Chunteng Bao
Keyword(s):  
Real Time ◽  
Production Control ◽  
Container Terminal ◽  
Virtual Space ◽  
Experimental Results ◽  
Small Scale ◽  
Production Operation ◽  
Adaboost Algorithm ◽  
Digital Twin ◽  
Loading And Unloading

Digital twin (DT), machine learning, and industrial Internet of things (IIoT) provide great potential for the transformation of the container terminal from automation to intelligence. The production control in the loading and unloading process of automated container terminals (ACTs) involves complex situations, which puts forward high requirements for efficiency and safety. To realize the real-time optimization and security of the ACT, a framework integrating DT with the AdaBoost algorithm is proposed in this study. The framework is mainly composed of physical space, a data service platform, and virtual space, in which the twin space and service system constitute virtual space. In the proposed framework, a multidimensional and multiscale DT model in twin space is first built through a 3D MAX and U3D technology. Second, we introduce a random forest and XGBoost to compare with AdaBoost to select the best algorithm to train and optimize the DT mechanism model. Third, the experimental results show that the AdaBoost algorithm is better than others by comparing the performance indexes of model accuracy, root mean square error, interpretable variance, and fitting error. In addition, we implement empirical experiments by different scales to further evaluate the proposed framework. The experimental results show that the mode of the DT-based terminal operation has higher loading and unloading efficiency than that of the conventional terminal operation, increasing by 23.34% and 31.46% in small-scale and large-scale problems, respectively. Moreover, the visualization service provided by the DT system can monitor the status of automation equipment in real time to ensure the safety of operation.

ROVvstrawling approaches in the study of benthic communities: the case ofPennatula rubra(Cnidaria: Pennatulacea)

2018 ◽  
Vol 98 (8) ◽  
pp. 1859-1869 ◽  
Author(s):  
Giovanni Chimienti ◽  
Lorenzo Angeletti ◽  
Lucia Rizzo ◽  
Angelo Tursi ◽  
Francesco Mastrototaro
Keyword(s):  
Benthic Communities ◽  
Point Of View ◽  
Small Scale ◽  
Protection Measures ◽  
Habitat Features ◽  
Trawl Fishing ◽  
Presence Data ◽  
Gear Efficiency ◽  
Non Destructive ◽  
Visual Technologies

Megabenthic soft bottom communities of trawlable grounds have been studied since the first few decades of the last century, thanks to trawl fishing technologies. Despite providing an extensive amount of presence data, trawling cannot be considered reliable from a quantitative point of view, frequently giving only weak information about sessile species density, large and small-scale distribution and main habitat features. The recent development of visual technologies on remotely operated vehicles (ROVs) can give a more accurate approach for the study of mega-epibenthic communities. The present study reports the application of both ROV imaging and trawling approaches for the study of a large aggregation (i.e. field) of the red sea penPennatula rubrain the Ionian Sea. Density, biomass and population structure were studied in the same population ofP. rubra. The density assessed by ROV was significantly higher than that estimated with a three-year series of trawling surveys. Trawling gear efficiency in the removal ofP. rubrawas low overall. Incidental mortality can be very high due to damage to those specimens that encounter the trawl net but are not directly captured. However, sampling of several colonies by trawling was necessary to establish biometric correlations to estimates of size and biomass from ROV imaging. Trawling catch abundance/biomass data could be useful to identify areas of higher concentration of sea pens, while ROV imaging can be used to monitor these fields in a non-destructive manner that would be consistent with protection measures.

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