scholarly journals Parameter Tuning of the Autonomous Boat in Fish Farming Industry with Design of Experiment

2020 ◽  
Vol 24 (5) ◽  
pp. 217-225
Author(s):  
Mongkol Thianwiboon
Keyword(s):  
Design Of Experiment ◽  
Autonomous Vehicle ◽  
Fish Farming ◽  
Turn Angle ◽  
Response Variable ◽  
23 Factorial Design ◽  
Parameters Tuning ◽  
Farming Industry ◽  
The Impact ◽  
Turn Rate

This research studied the feasibility in applying the flight controller of the unmanned aerial vehicle on a pontoon boat in fish farming industry. A small-scale autonomous pontoon boat has been built, equipped with the open-hardware flight controller, GPS receiver, Inertial Measurement Units (IMU) and the magnetometer. A 23 factorial design based on Design of Experiment (DOE) is carried out to study the influence of three parameters (turn_rate, turn_angle and damping) on the response variable (peak-to-peak deviation from the desired trajectory). Total 24 experiments have been conducted by setting the desired trajectory as a circle with diameter 20 m. The peak-to-peak deviation in each experiment has been observed. The analyses revealed that the damping has low interaction with the turn angle and turn rate while there is a stronger interaction between the turn angle and turn rate. And the peak-to-peak deviation of the trajectory tends to decrease when the parameter damping was set to high value. The regression model has been derived and plotted as a response surface. The optimized parameters were selected from the plot and perform the experiment with three replications. The results confirm that parameters tuning has improved the performance of the boat significantly. With the DOE approach, the impact of two or more parameters on a response, the interaction between parameters can be investigated systematically. This approach is an effective way to tuning the parameters and can be applied to various kinds of the autonomous vehicle. A 23 factorial design based on Design of Experiment (DOE) is carried out to study the influence of three parameters (turn_rate, turn_angle and damping) on the response variable (peak-to-peak deviation from the desired trajectory). Total 24 experiments have been conducted by setting the desired trajectory as a circle with diameter 20 m. The peak-to-peak deviation in each experiment has been observed. The analyses revealed that the damping has low interaction with the turn angle and turn rate while there is a stronger interaction between the turn angle and turn rate. And the peak-to-peak deviation of the trajectory tends to decrease when the parameter damping was set to high value. The regression model has been derived and plotted as a response surface. The optimized parameters were selected from the plot and perform the experiment with three replications. The results confirm that parameters tuning has improved the performance of the boat significantly. With the DOE approach, the impact of two or more parameters on a response, the interaction between parameters can be investigated systematically. This approach is an effective way to tuning the parameters and can be applied to various kinds of the autonomous vehicle.

The Salmon Sea Fish Farming Industry in Iceland: A Review

2019 ◽  
Vol 10 (4) ◽  
Author(s):  
Arnar Bjarnason ◽  
Soffia Karen Magnúsdóttir
Keyword(s):  
Fish Farming ◽  
Farming Industry ◽  
Sea Fish

Fish farming in Denmark: environmental impact of regulative legislation

1995 ◽  
Vol 31 (10) ◽  
pp. 73-84 ◽  
Author(s):  
T. M. Iversen
Keyword(s):  
Organic Matter ◽  
Environmental Impact ◽  
Freshwater Fish ◽  
Aquatic Environment ◽  
Action Plan ◽  
Fish Farming ◽  
Fish Farms ◽  
Nitrogen And Phosphorus ◽  
Local Impact ◽  
The Impact

The main environmental problems associated with fish farming in Denmark are attributable to the dam, the “dead reach” and nutrient and organic matter discharge. The environmental regulation of fish farming in Denmark started with the Environmental Protection Act of 1974, the Statutory Order of 1985 forbidding wet feed, and the Action Plan on the Aquatic Environment of 1987. In the case of freshwater fish farms, the latter was implemented through the measures stipulated in the 1989 Statutory Order on Fish Farms. The impact of Danish legislative measures to reduce and regulate the environmental effects of freshwater fish farms can be summarized as follows: - the number of fish farms has been reduced from about 800 in 1974 to about 500 at present; - production has tripled since 1974 and has been stable since 1989; - a change from wet to dry feed has reduced the environmental impact of the farms; - the national goals of the Action Plan on the Aquatic Environment of 1987 for reducing fish farm discharges of organic matter, nitrogen and phosphorus have been fulfilled. The main remaining problems are that: - the local impact of fish farms on downstream stream quality is still much too high in about 15% of cases; - the problem of the passage of migrating invertebrates and fish is still unsolved at some farms; - the problems posed by “dead reaches” are still unsolved. It is concluded that sustainable fish farming is possible in Denmark, but with the present technology production will have to be significantly reduced.

Environmental impact of nutrients from nordic fish farming

1995 ◽  
Vol 31 (10) ◽  
pp. 61-71 ◽  
Author(s):  
M. Enell
Keyword(s):  
Major Part ◽  
Fish Farming ◽  
Fish Farms ◽  
Feed Composition ◽  
The North ◽  
Comprehensive Development ◽  
The Baltic ◽  
Inland Water Bodies ◽  
The Impact ◽  
Feed Coefficient

During the last 20 years there has been an interesting development of the Nordic fish farming, with regard to the feeding and farming technology and to the increase in production quantities. During the period 1974-1994 the production increased from 15,800 to about 250,000 tonnes/year. In 1974 the major part of the production was in Denmark, and in 1994 the major part was in Norway. The nutrient impact of fish farming on surrounding sea areas is mainly a function of the feed coefficient, the feed composition and metabolic processes in the fish. The comprehensive development of the feed composition and the feeding technology has resulted in reduced load of unmetabolized nutrients from fish farms, calculated per tonne fish produced. In 1974 the mean Nordic feed coefficient was 2.08 and in 1994 the coefficient was 1.25. Feed coefficients of 1.0-1.1 are now reported for Danish and Norwegian freshwater and marine fish farms. The nitrogen (N) and phosphorus (P) content of the feed has decreased, in addition the quality of the nutrient substances in the feed has changed, especially for N. The N content has decreased from 7.8 to 6.8% during the period 1974-1994 and the content of P has decreased from 1.7 to 0.7% during the same period. This development of the feed coefficient and the feed composition has resulted in a present load from a typical Nordic fish farm of 55 kg N and 4.8 kg P/t fish produced. The figures for 1974 were 132 kg N and 31 kg P/t fish produced. The Nordic fish farming production in 1994 resulted in a load of about 13,750 t N and about 1,200 t P on the actual recipients. The load from the Swedish, Finnish and Danish fish farming operations, with the Baltic Sea and the Skagerrak as the recipients, is negligible in comparison with other pollution sources. The quantities of N and P from the fish farming are equal to 0.5% of the atmospheric deposition on the sea surface and 3% of the atmospheric P load. Norwegian, Icelandic and the Faroe Islands fish farming operations are using the North Sea and the Norwegian Sea as the recipients. However, the nutrient load from single fish farms in certain coastal and inland water bodies can be significant and must be considered in the impact assessment together with other sources.

scholarly journals An Efficiency Enhancing Methodology for Multiple Autonomous Vehicles in an Urban Network Adopting Deep Reinforcement Learning

2021 ◽  
Vol 11 (4) ◽  
pp. 1514 ◽  
Author(s):  
Quang-Duy Tran ◽  
Sang-Hoon Bae
Keyword(s):  
Reinforcement Learning ◽  
Traffic Congestion ◽  
Autonomous Vehicles ◽  
Penetration Rate ◽  
Autonomous Vehicle ◽  
Effective Means ◽  
Urban Network ◽  
Learning Agents ◽  
Policy Optimization ◽  
The Impact

To reduce the impact of congestion, it is necessary to improve our overall understanding of the influence of the autonomous vehicle. Recently, deep reinforcement learning has become an effective means of solving complex control tasks. Accordingly, we show an advanced deep reinforcement learning that investigates how the leading autonomous vehicles affect the urban network under a mixed-traffic environment. We also suggest a set of hyperparameters for achieving better performance. Firstly, we feed a set of hyperparameters into our deep reinforcement learning agents. Secondly, we investigate the leading autonomous vehicle experiment in the urban network with different autonomous vehicle penetration rates. Thirdly, the advantage of leading autonomous vehicles is evaluated using entire manual vehicle and leading manual vehicle experiments. Finally, the proximal policy optimization with a clipped objective is compared to the proximal policy optimization with an adaptive Kullback–Leibler penalty to verify the superiority of the proposed hyperparameter. We demonstrate that full automation traffic increased the average speed 1.27 times greater compared with the entire manual vehicle experiment. Our proposed method becomes significantly more effective at a higher autonomous vehicle penetration rate. Furthermore, the leading autonomous vehicles could help to mitigate traffic congestion.

scholarly journals Impact of fish cage-culture on the community structure of zooplankton in a tropical reservoir

2011 ◽  
Vol 101 (1-2) ◽  
pp. 75-84 ◽  
Author(s):  
Juliana D Dias ◽  
Érica M Takahashi ◽  
Natália F Santana ◽  
Cláudia C Bonecker
Keyword(s):  
Community Structure ◽  
Food Availability ◽  
Community Dynamics ◽  
Zooplankton Community ◽  
Fish Farming ◽  
Spatial And Temporal Variation ◽  
Cage Culture ◽  
Tropical Reservoir ◽  
Zooplankton Community Structure ◽  
The Impact

We investigated the impact of fish cage culture on the zooplankton community structure in a tropical reservoir. We hypothesized that community abundance is greater near cages and increases over time due to the increase in food availability. Samplings were performed near, upstream and downstream from net cages, and before and after net cage installation. The abundance of zooplankton increased 15 days after the experiment was set up, followed by a reduction and finally increased. Rotifer abundance showed significant differences among sites (p<0.05) and sampling periods (p<0.001). Significant differences were also observed in total zooplankton and cladoceran abundance (p<0.001). The spatial and temporal variation of the physical and chemical variables were indirectly correlated with the structure and dynamic of the zooplankton community, as they indicated the primary production in the environment. Our hypothesis was rejected, since the zooplankton was abundant at the reference site. Only rotifers showed higher abundance near cages, due to the influence of food availability. Community dynamics during the experiment was also correlated to food availability. Our results suggest an impact of fish farming on the zooplankton community.

scholarly journals Retraction: Jelic-Mrcelic G, Sliskovic M. The evaluation of fish farming impact by nutrient content and chlorophyll a in Mala Lamljana bay. Arch biol sci. 2013;65(2):567-70. DOI: 10.2298/ABS1302567J

2015 ◽  
Vol 67 (4) ◽  
pp. 1437-1437
Author(s):  
E Editorial
Keyword(s):  
Biological Sciences ◽  
Water Quality ◽  
Chlorophyll A ◽  
Fish Farming ◽  
Nutrient Content ◽  
Fish Farm ◽  
Significant Part ◽  
Retracted Article ◽  
The Impact ◽  
Font Color

This is a notice of retraction of the article: The evaluation of fish farming impact by nutrient content and chlorophyll A in Mala Lamljana bay, published in the Archives of Biological Sciences in 2013, Vol. 65, Issue 3. The Editor-in-Chief has been informed that the data in this article has already been published in the following article: Jelic Mrcelic G, Sliskovic M. The impact of fish cages on water quality in one fish farm in Croatia. Int Sci Index. 2010;4(8):775-8. Inspection of these articles has revealed the following: a significant part of the data in the article published in the Archives of Biological Sciences was published without proper cross-referencing to the data already published in the earlier paper. This issue was discussed with one of the two authors and it was mutually agreed to retract the article. <br><br><font color="red"><b> Link to the retracted article <u><a href="http://dx.doi.org/10.2298/ABS1302567J">10.2298/ABS1302567J</a></b></u>

scholarly journals F.E.M. Stress-Investigation of Scolios Apex

2018 ◽  
Vol 12 (1) ◽  
pp. 51-71 ◽  
Author(s):  
A. Daghighi ◽  
H. Tropp ◽  
N. Dahlström ◽  
A. Klarbring
Keyword(s):  
Vertebral Column ◽  
Parameter Extraction ◽  
Surrounding Tissue ◽  
P Value ◽  
Shear Stresses ◽  
Response Variable ◽  
Geometric Models ◽  
Number Of Patients ◽  
Distortion Energy ◽  
The Impact

Background:In scoliosis, kypholordos and wedge properties of the vertebrae should be involved in determining how stress is distributed in the vertebral column. The impact is logically expected to be maximal at the apex.Aim:To introduce an algorithm for constructing artificial geometric models of the vertebral column from DICOM stacks, with the ultimate aim to obtain a formalized way to create simplistic models, which enhance and focus on wedge properties and relative tilting.Material/Methods:Our procedure requires parameter extraction from DICOM image-stacks (with PACS,IDS-7), mechanical FEM-modelling (with Matlab and Comsol). As a test implementation, models were constructed for five patients with thoracal idiopathic scoliosis with varying apex rotation. For a selection of load states, we calculated a response variable which is based upon distortion energy.Results:For the test implementation, pairwise t-tests show that our response variable is non-trivial and that it is chiefly sensitive to the transversal stresses (transversal stresses where of main interest to us, as opposed to the case of additional shear stresses, due to the lack of explicit surrounding tissue and ligaments in our model). Also, a pairwise t-test did not show a difference (n = 25, p-value≈0.084) between the cases of isotropic and orthotropic material modeling.Conclusion:A step-by-step description is given for a procedure of constructing artificial geometric models from chest CT DICOM-stacks, such that the models are appropriate for semi-global stress-analysis, where the focus is on the wedge properties and relative tilting. The method is inappropriate for analyses where the local roughness and irregularities of surfaces are wanted features. A test application hints that one particular load state possibly has a high correlation to a certain response variable (based upon distortion energy distribution on a surface of the apex), however, the number of patients is too small to draw any statistical conclusions.

scholarly journals Economics of ornamental fish farming industry in Madurai District, Tamil Nadu

2017 ◽  
Vol 64 ◽  
Author(s):  
T. Umamaheswari ◽  
M. Rajakumar ◽  
P. Chidambaram
Keyword(s):  
Tamil Nadu ◽  
Sampling Technique ◽  
Fish Farming ◽  
Ornamental Fish ◽  
Expected Profit ◽  
Profit Margin ◽  
Fish Farms ◽  
The Cost ◽  
Farming Industry ◽  
Ranking Technique

India has enormous potential for the development of ornamental fish business. Although the country has conducive environmental conditions for breeding and culture of ornamental fishes, its share in export of ornamental fishes is less than 1%. The present study was undertaken to address the constraints prevailing in ornamental fish farming. Study was carried out among 44 ornamental fish farms in Madurai District, Tamil Nadu by adopting random sampling technique. The selected farms were classified into small (<0.5 ha) and medium farms (0.5-2 ha) and the data were collected by personally interviewing the fish farmers. The study attempted to analyse the socio-economic characteristics of respondents, existing supply chain, constraints involved in ornamental fish farming, annual revenue loss due to major constraints, treatment cost and expected profit margin. Various constraints were classified as production, marketing and others and were ranked using Garrett ranking technique. Tabular and percentage analyses were used to estimate the cost of treatment, revenue loss and expected profit margin. Four types of marketing channels were observed in the study area. Disease outbreak was found to be the major constraint faced by the farmers and hence, the revenue loss was estimated for the same. The annual revenue loss was found to be higher for the small ornamental units when compared to medium farms, which showed higher profit margin than small ornamental fish farms.

scholarly journals Teknologi pengolahan hasil perikanan untuk meningkatkan perekonomian petani ikan di Desa Sungai Geringging, Kecamatan Kampar Kiri, Kabupaten Kampar, Riau

2020 ◽  
Vol 2 ◽  
pp. 498-505
Author(s):  
Sukendi Sukendi ◽  
Dewita Dewita ◽  
Thamrin Thamrin ◽  
Ridwan Manda Putra ◽  
Windarti Windarti ◽  
...  
Keyword(s):  
Fish Farming ◽  
Food Products ◽  
Business Group ◽  
B Value ◽  
Snack Food ◽  
Service Activity ◽  
Group Members ◽  
C Value ◽  
Fishery Products ◽  
The Impact

The purpose of this community service activity is to provide knowledge and technology to the community from the Sinar Mentari Business Group, Sungai Geringging Village, Kampar Kiri District, Kampar Regency, in terms of processing fishery products into snack food products in the form of fish brains, fish dragon feet, and processing methods. packing and the process of presenting the resulting product better. The method used is the method of lectures, discussions, and direct practice on how to process fishery products. The results of this evaluation found that there had been a change in knowledge of 6 members of the Sinar Mentari Business Group, which showed that 5 people (83.33%) had been able to absorb the material given with a very good predicate (grade A), 1 person (16.67 %) can absorb the material given with a good predicate (B value), while those who get a sufficient predicate (C value) and poor predicate (D value) are not found. Based on the results of this evaluation, it is known that the skill level of the members of the Sinar Mentari Business group, it turns out that they have been able to process fishery products into snack food products in the form of fish brains, fish dragon legs and the process of packing as well as the process of presenting products independently and better. Meanwhile, the impact of this activity is that the housewives of Karya Mandiri Cultivator Group members have succeeded in having side activities to help their family's economy in the form of processing fish farming products.

scholarly journals Tuned Forest Fire Prediction: Static Calibration of the Evolutionary Component of ‘ESS’

2014 ◽  
Vol 17 (2) ◽  
Author(s):  
Germán Bianchini ◽  
Paola Caymes Scutari
Keyword(s):  
Forest Fires ◽  
High Performance ◽  
Strong Impact ◽  
Statistical System ◽  
Static Calibration ◽  
Parameters Tuning ◽  
System Output ◽  
The Impact ◽  
Performance Computing

Forest fires are a major risk factor with strong impact at eco-environmental and socio- economical levels, reasons why their study and modeling are very important. However, the models frequently have a certain level of uncertainty in some input parameters given that they must be approximated or estimated, as a consequence of diverse difficulties to accurately measure the conditions of the phenomenon in real time. This has resulted in the development of several methods for the uncertainty reduction, whose trade-off between accuracy and complexity can vary significantly. The system ESS (Evolutionary- Statistical System) is a method whose aim is to reduce the uncertainty, by combining Statistical Analysis, High Performance Computing (HPC) and Parallel Evolutionary Al- gorithms (PEAs). The PEAs use several parameters that require adjustment and that determine the quality of their use. The calibration of the parameters is a crucial task for reaching a good performance and to improve the system output. This paper presents an empirical study of the parameters tuning to evaluate the effectiveness of different configurations and the impact of their use in the Forest Fires prediction.

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