Deep learning-based prediction of fish catch for the offshore waters in south korea

2020 ◽  
Author(s):  
You jeong yoon ◽  
Yang won lee
Keyword(s):  
Deep Learning ◽  
Fish Species ◽  
Satellite Images ◽  
Research Area ◽  
Biological Factors ◽  
Factors Affecting ◽  
Fish Catch ◽  
Intelligence Modeling ◽  
The Relationship ◽  
Fishing Area

<p>Recently in Korea, the fish catch of offshore waters recorded less than 1 million tons in 44 years due to climate change and drastic changes in the fishing environment. Therefore, it is essential to produce and provide accurate fishing forecast information, such as the location of fishing fields and the amount of fish production, that varies in time and space according to fishing conditions to enhance the competitiveness of the fishing industry. Since the factors affecting the fish catch have various and nonlinear relationships, so this study predicted the catch based on deep learning. The study was selected as the three major fish species of the Korean coast -- anchovy, mackerel and squid. The research area was selected as four fishing area. (One fishing area is 14 km * 14 km). In order to produce accurate forecasted fishing information, it is necessary to identify major marine weather and biological factors affecting the fish catch by fish species and artificial intelligence modeling using marine and weather satellite images. The satellite data used in the study are from the Korea Meteorological Administration (KMA). So far, research on the relationship between two or more factors and fish catches has been insufficient in the previous research, so this study may contribute to the prediction of fishing trends.</p>

scholarly journals The relationship between self-efficacy and accounting students' academic performance at a South African university

2021 ◽  
Author(s):  
Riley Carpenter ◽  
Sihaam Shamsoodien
Keyword(s):  
Academic Performance ◽  
Academic Success ◽  
South African ◽  
Self Efficacy ◽  
Research Area ◽  
Accounting Education ◽  
Accounting Students ◽  
Factors Affecting ◽  
South African Higher Education ◽  
The Relationship

Racial transformation is crucial for South African higher education institutions, the accounting profession and the country as a whole. Consequently, determinants of students’ academic success must be at the forefront of accounting education research. Understanding these determinants will assist universities to better assist students with their learning. This study focused on self-efficacy in academic performance—a previously limited research area in South African accounting education. The aim was to determine the relationship between self-efficacy and academic performance amongst students registered in a second-year undergraduate course for an accounting degree at a South African university. It was found that self-efficacy was moderately positively correlated with academic performance. The findings indicate that it is worthwhile performing further empirical research on self-efficacy, especially while controlling for other significant factors affecting students’ academic performance. 

scholarly journals The relationship between mangrove ecosystem and fish diversity in Pabean Ilir and Pagirikan, Indramayu District, West Java

2016 ◽  
Vol 6 (1) ◽  
pp. 43-58 ◽  
Author(s):  
RANA DESCASARI ◽  
ISDRADJAD SETYOBUDIANDI ◽  
RIDWAN AFFANDI
Keyword(s):  
Fish Species ◽  
Avicennia Marina ◽  
Mangrove Ecosystem ◽  
Fish Diversity ◽  
Importance Value Index ◽  
Importance Value ◽  
West Java ◽  
High Productivity ◽  
Fish Catch ◽  
The Relationship

Descasari R, Setyobudiandi I, Affandi R. 2016. The relationship between mangrove ecosystem and fish diversity in Pabean Ilir and Pagirikan, Indramayu District, West Java. Bonorowo Wetlands 6: 43-58. Mangrove ecosystem has high productivity because it has the ability to a nutrient trap, which supports aquatic biota, especially fish. The purpose of this study was to determine the relationship between mangrove densities with total fish catch, number of fish species, and fish diversity. The data collections were mangrove condition, fish, physical, and chemical parameters. The results showed that mangrove density in Pabean Ilir Village higher than Pagirikan village. The highest importance value index of mangrove was Rhizophora mucronata and Avicennia marina. Total number of fish caught in two locations were 1093 individuals, consisting of 80 species belonging to 38 families. The dominant fish species were Ambassis nalua, Johnius belangerii, Leiognathus equulus, and Platycephalus indicus. There was positive relationship between the mangrove density with the total number of fish catch, number of fish species, and fish diversity in Pabean Ilir Village and Pagirikan Village, Pasekan Subdistrict, Indramayu District, West Java.

scholarly journals Keragaman dan pengelompokan ikan berdasarkan karakter morfologi di ekosistem Bendungan Colo Sukoharjo Jawa Tengah

DEPIK ◽  
2018 ◽  
Vol 7 (1) ◽  
pp. 9-21
Author(s):  
Ragil Nur Cahyono ◽  
Agung Budiharjo ◽  
Sugiyarto Sugiyarto
Keyword(s):  
Fish Species ◽  
Sampling Method ◽  
Diversity Index ◽  
Abiotic Factors ◽  
Morphological Characteristics ◽  
Cluster Method ◽  
Factors Affecting ◽  
Central Java ◽  
Regression Test ◽  
The Relationship

The objective of the present study was to determine the diversity fishes in Colo Dam  ecosystem and grouping its based on morphological characteristics. Sampling was conducted in September to October 2017 at Sukoharjo Colo Dam Central Java used the  purposive random sampling method. Identification of fish species based Kottelat (1993). The diversity of fish was calculated using Shannon Wiener's diversity index. The relationship between abiotic factors and the diversity of fish was analyzed by regression test. Grouped fish with the Ntsys cluster method (2.02i). The results showed that the diversity of Colo Dam fish at station III was higher (1.16) than at stations I, II, and IV (0.84, 0.82, and 1.15), the abiotic factors affecting the diversity of fish species, and fish species that have large morphological equations have a high coefficient of similarity value in dendogram analysis.Penelitian ini bertujuan untuk menganalisis keanekaragaman dan pengelompokan  ikan pada di Bendungan Colo. Pengambilan sampel dilakukan pada bulan September-Oktober 2017 di Bendungan Colo Sukoharjo menggunakan metode Purposive sampling. Identifikasi spesies ikan berdasarkan Kottelat (1993). Keanekaragaman ikan dihitung menggunakan indeks keragaman Shannon Wiener. Hubungan antar faktor abiotik dengan keanekaragaman ikan dianalisis dengan uji regresi. Pengelompokan ikan dengan metode cluster Ntsys (2.02i). Hasil penelitian menunjukkan bahwa keragaman ikan Bendungan Colo di stasiun III lebih tinggi (1,16) dari pada stasiun I, II, dan IV (0,84; 0,82; dan 1,15), faktor abiotik mempengaruhi keanekeragaman jenis ikan, dan jenis-jenis ikan yang memiliki persamaan morfologi yang besar memiliki nilai koefisien kemiripan yang tinggi dalam analisis dendogram.

Deep Learning Based High-Resolution Remote Sensing Image classification

2017 ◽  
Vol 7 (10) ◽  
pp. 22
Author(s):  
Sumit Kaur
Keyword(s):  
Machine Learning ◽  
Remote Sensing ◽  
Deep Learning ◽  
Image Classification ◽  
Language Processing ◽  
Object Perception ◽  
Remote Sensing Image ◽  
Research Area ◽  
Remote Sensing Image Classification ◽  
Unsupervised Algorithms

Abstract- Deep learning is an emerging research area in machine learning and pattern recognition field which has been presented with the goal of drawing Machine Learning nearer to one of its unique objectives, Artificial Intelligence. It tries to mimic the human brain, which is capable of processing and learning from the complex input data and solving different kinds of complicated tasks well. Deep learning (DL) basically based on a set of supervised and unsupervised algorithms that attempt to model higher level abstractions in data and make it self-learning for hierarchical representation for classification. In the recent years, it has attracted much attention due to its state-of-the-art performance in diverse areas like object perception, speech recognition, computer vision, collaborative filtering and natural language processing. This paper will present a survey on different deep learning techniques for remote sensing image classification. 

The number of employed as a macroeconomic indicator of working time dynamics

2020 ◽  
Vol 16 (5) ◽  
pp. 935-945
Author(s):  
I.A. Zaikova
Keyword(s):  
Comparative Analysis ◽  
Manufacturing Sector ◽  
Working Hours ◽  
Working Time ◽  
Labor Costs ◽  
Factors Affecting ◽  
Time Dynamics ◽  
Developed Economies ◽  
The Relationship ◽  
Macroeconomic Indicator

Subject. The working time of workers at any stage of economic development is a value reflecting the level of labor productivity. Any progress in productivity contributes to changes in the volume of labor costs and the number of employed. Depending on the relationship between the total volume of labor costs and the number of employed, the duration of working time per one worker may change (it may increase, decrease, or remain unchanged). Objectives. The study aims to confirm the importance of such a macroeconomic indicator as the number of employed in varying working hours. Methods. The study rests on the comparative analysis of countries with developed economies based on some indicators like dynamics of the working time fund, dynamics of the number of employed, average number of hours worked during the year per employee, etc. The analyzed timespan is 25 years (from 1991 to 2016). Results. The comparative analysis revealed that in the non-production sphere and the economy as a whole the macroeconomic determinants correlate so that the length of working time per worker reduces. When considering the analysis results for the manufacturing sector, no single trend was identified. Conclusions. One of the key factors affecting the change in working hours is the number of employed. The relationship between the working time fund and the number of employed directly determines the dynamics of working time per worker.

scholarly journals The Mediating Effect of Marital Intimacy on the Relationship between Spouse-Related Stress and Prenatal Depression in Pregnant Couples: An Actor–Partner Interdependent Model Test

2021 ◽  
Vol 18 (2) ◽  
pp. 487
Author(s):  
Miyoung Lee ◽  
Yeon-Suk Kim ◽  
Mi-Kyoung Lee
Keyword(s):  
Mediating Effect ◽  
Prenatal Depression ◽  
Mediating Effects ◽  
Factors Affecting ◽  
Marital Intimacy ◽  
Paternal Factors ◽  
Two Cities ◽  
Related Stress ◽  
The Relationship ◽  
Structured Questionnaire

Prenatal depression is an important factor in predicting postpartum depression. Most studies have assessed factors affecting prenatal depression by focusing on pregnant wives. However, the emotional and psychological aspects of both expectant parents need to be considered. Therefore, the purpose of this study was to examine the effect of spouse-related stress in expectant couples on prenatal depression and investigate the mediating effects of marital intimacy on this relationship. A total of 120 expectant couples from two cities in Korea at more than 15 weeks of completed pregnancy participated in the study. Using a structured questionnaire, we assessed the general characteristics of the participants, spouse-related stress, prenatal depression, and marital intimacy. The results revealed that four actor effects and one partner effect were significant. Marital intimacy and prenatal depression among expectant parents were affected by spouse-related stress. Moreover, spouse-related stress in the husbands completely mediated marital intimacy in pregnant wives, demonstrating partner effects on prenatal depression in pregnant wives. Therefore, it was observed that paternal factors affect prenatal depression in pregnant wives. This warrants the inclusion of husbands in marital interventions and strategies to improve marital intimacy in pregnant wives.

scholarly journals Domain randomization-enhanced deep learning models for bird detection

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xin Mao ◽  
Jun Kang Chow ◽  
Pin Siang Tan ◽  
Kuan-fu Liu ◽  
Jimmy Wu ◽  
...  
Keyword(s):  
Deep Learning ◽  
Continuous Monitoring ◽  
Bird Species ◽  
Training Data ◽  
Learning Models ◽  
Fine Grained ◽  
Bird Detection ◽  
Relationship Of ◽  
The Relationship

AbstractAutomatic bird detection in ornithological analyses is limited by the accuracy of existing models, due to the lack of training data and the difficulties in extracting the fine-grained features required to distinguish bird species. Here we apply the domain randomization strategy to enhance the accuracy of the deep learning models in bird detection. Trained with virtual birds of sufficient variations in different environments, the model tends to focus on the fine-grained features of birds and achieves higher accuracies. Based on the 100 terabytes of 2-month continuous monitoring data of egrets, our results cover the findings using conventional manual observations, e.g., vertical stratification of egrets according to body size, and also open up opportunities of long-term bird surveys requiring intensive monitoring that is impractical using conventional methods, e.g., the weather influences on egrets, and the relationship of the migration schedules between the great egrets and little egrets.

scholarly journals Comparison of the sensitivity of Western blotting between PVDF and NC membranes

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yufang Xiang ◽  
Yuanyuan Zheng ◽  
Shaobo Liu ◽  
Gang Liu ◽  
Zhi Li ◽  
...  
Keyword(s):  
Western Blotting ◽  
Polyvinylidene Fluoride ◽  
Staining Intensity ◽  
Detection Sensitivity ◽  
Key Factors ◽  
Post Translational Modifications ◽  
Factors Affecting ◽  
Molecular Weights ◽  
Direct Blue ◽  
The Relationship

AbstractWestern blotting (WB) is one of the most widely used techniques to identify proteins as well as post translational modifications of proteins. The selection of electroblotted membrane is one of the key factors affecting the detection sensitivity of the protein which is transferred from gel to membrane in WB. The most common used membranes are polyvinylidene fluoride (PVDF) and nitrocellulose (NC) membranes. Which membrane of these two is more suitable for WB has not been reported so far. Here, by incubating proteins which were transferred to PVDF or NC membranes with a series of antibodies and different types of lectins, we investigated the relationship between the binding ability of these two membranes to proteins or glycoproteins and the molecular weight of the target protein. The antibody re-probed ability of the two membranes was also explored. Moreover, we verified the above results by directly incubating proteins having different molecular weights onto PVDF or NC membranes. Bound proteins were stained with direct blue-71, and the staining intensity was quantitated by scanning and densitometry.

scholarly journals The Influence of Pre-Procedural Imaging and Cystic Duct Cholangiography on Endoscopic Transpapillary Gallbladder Drainage in Acute Cholecystitis

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1286
Author(s):  
Junya Sato ◽  
Kazunari Nakahara ◽  
Yosuke Michikawa ◽  
Ryo Morita ◽  
Keigo Suetani ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Acute Cholecystitis ◽  
Cystic Duct ◽  
Magnetic Resonance Cholangiopancreatography ◽  
Procedure Time ◽  
Technical Success ◽  
Factors Affecting ◽  
Gallbladder Drainage ◽  
Procedural Evaluation ◽  
The Relationship

Endoscopic transpapillary gallbladder drainage (ETGBD) for acute cholecystitis is challenging. We evaluated the influence of pre-procedural imaging and cystic duct cholangiography on ETGBD. Patients who underwent ETGBD for acute cholecystitis were retrospectively examined. The rate of gallbladder contrast on cholangiography, the accuracy of cystic duct direction and location by computed tomography (CT) and magnetic resonance cholangiopancreatography (MRCP), and the relationship between pre-procedural imaging and the technical success of ETGBD were investigated. A total of 145 patients were enrolled in this study. Gallbladder contrast on cholangiography was observed in 29 patients. The accuracy of cystic duct direction and location (proximal or distal, right or left, and cranial or caudal) by CT were, respectively, 79%, 60%, and 58% by CT and 68%, 55%, and 58% by MRCP. Patients showing gallbladder contrast on cholangiography underwent ETGBD with a significantly shorter procedure time and a lower rate of cystic duct injury. No other factors affecting procedure time, technical success, and cystic duct injury were identified. Pre-procedural evaluation of cystic duct direction and location by CT or MRCP was difficult in patients with acute cholecystitis. Patients who showed gallbladder contrast on cholangiography showed a shorter procedure time and a lower rate of cystic duct injury.

scholarly journals Stimulation of mitochondrial calcium ion efflux by thiol-specific reagents and by thyroxine. The relationship to adenosine diphosphate retention and to mitochondrial permeability

1979 ◽  
Vol 182 (2) ◽  
pp. 455-464 ◽  
Author(s):  
E J Harris ◽  
M Al-Shaikhaly ◽  
H Baum
Keyword(s):  
Thyroid Hormones ◽  
Calcium Ion ◽  
Adenine Nucleotides ◽  
Adenosine Diphosphate ◽  
Ruthenium Red ◽  
Reduced Form ◽  
Factors Affecting ◽  
Ph Values ◽  
Rat Heart Mitochondria ◽  
The Relationship

Respiring rat heart mitochondria were loaded with Ca2+ and then treated with Ruthenium Red. The factors affecting the subsequent Ca2+-efflux were studied. Addition of rotenone or antimycin led to a decline of efflux except at pH values above 7.2, provided the load was less than about 80 nmol per mg of protein. Oligomycin reversed the effect of the respiratory inhibitors. Independently of respiration, efflux was stimulated by the uncoupler trifluoromethyltetrachlorbenzimadazole, by mersalyl and by thyroid hormones. The stimulated efflux could be diminished by ADP, with Mg2+ as cofactor if efflux was rapid. With respiration in progress, efflux could be stimulated by N-ethylmaleimide and 5,5′-dithiobis-(2-nitrobenzoate). The effects of mersalyl and of thyroid hormones could be diminished with dithiothreitol. In the absence of stimulating agents, the Ca2+ efflux was proportional to the load up to some critical amount, this critical amount was decreased by the agents. Thyroxine and mersalyl caused not only loss of Ca2+, but also simultaneous, but not necessarily proportional, loss of internal adenine nucleotides. Both efflux rates were kept at a low value by bongkrekic acid added before the stimulating agent. It is concluded that Ca2+ efflux is a measure of a permeability controlled by the binding of ADP (an Mg2+) to the inner membrane, and that this in turn depends on the maintenance of certain thiol gropus in a reduced form by a reaction that uses NADH and ATP and the energy-linked transhydrogenase.

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