• Smart Structures and Systems
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• v.25 no.6
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• pp.765-778
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• 2020

The present study intends to find a proper solution for the estimation of the physical behaviors of enlarged piles through a combination of small-scale laboratory tests and a hybrid computational predictive intelligence process. In the first step, experimental program is completed considering various critical influential factors. The results of the best multilayer perceptron (MLP)-based predictive network was implemented through three mathematical-based solutions of dragonfly algorithm (DA), whale optimization algorithm (WOA), and ant lion optimization (ALO). Three proposed models, after convergence analysis, suggested excellent performance. These analyses varied based on neurons number (e.g., in the basis MLP hidden layer) and of course, the level of its complexity. The training R² results of the best hybrid structure of DA-MLP, WOA-MLP, and ALO-MLP were 0.996, 0.996, and 0.998 where the testing R² was 0.995, 0.985, and 0.998, respectively. Similarly, the training RMSE of 0.046, 0.051, and 0.034 were obtained for the training and testing datasets of DA-MLP, WOA-MLP, and ALO-MLP techniques, while the testing RMSE of 0.088, 0.053, and 0.053, respectively. This obtained result demonstrates the excellent prediction from the optimized structure of the proposed models if only population sensitivity analysis performs. Indeed, the ALO-MLP was slightly better than WOA-MLP and DA-MLP methods.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.746-748
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• 2022

투자 분배 시스템은 지속성, 수익성, 변동성, 하방경직성 등 각각의 지표를 찾아내는 데이터 분석을 조합한 시스템으로 MLP 신경망을 통한 시황을 예측으로 투자 경험이 부족한 일반 사용자에게 안정적인 투자 분배 전략을 제공한다. 투자분배 시스템 구현을 위하여 추가적으로 금융시장에 대한 회귀분석, 켈리 공식과 같은 도구를 활용하였다.

• Computers and Concrete
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• v.32 no.2
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• pp.217-232
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• 2023

Numerous studies have been performed on the behavior of pile foundations in cold regions. This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing capacity focusing on pile data recorded primarily on cold regions. As the ANN technique has disadvantages such as finding global minima or slower convergence rates, this study in the second phase deals with the development of an ANN-based predictive model improved with an Elephant herding optimizer (EHO), Dragonfly Algorithm (DA), Genetic Algorithm (GA), and Evolution Strategy (ES) methods for predicting the piles' bearing capacity. The network inputs included the pile geometrical features, pile area (m²), pile length (m), internal friction angle along the pile body and pile tip (Ø°), and effective vertical stress. The MLP model pile's output was the ultimate bearing capacity. A sensitivity analysis was performed to determine the optimum parameters to select the best predictive model. A trial-and-error technique was also used to find the optimum network architecture and the number of hidden nodes. According to the results, there is a good consistency between the pile-bearing DA-MLP-predicted capacities and the measured bearing capacities. Based on the R2 and determination coefficient as 0.90364 and 0.8643 for testing and training datasets, respectively, it is suggested that the DA-MLP model can be effectively implemented with higher reliability, efficiency, and practicability to predict the bearing capacity of piles.

• International Journal of Industrial Entomology and Biomaterials
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• v.9 no.1
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• pp.149-153
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• 2004

Here we report the molecular cloning of a LIM protein cDNA of the CRP (cysteine-rich protein) family from the mulberry longicorn beetle, Apriona, geramri. The A. germari LIM protein cDNA contains an open reading frame of 276 bp encoding 92 amino acid residues with a calculated molecular weight of approximately 10 kDa. The A. germari LIM protein contains the cysteine-rich consensus sequence of LIM domain and the glycine-rich consensus sequence observed in cysteine-rich protein family 1 (CRP1). The potential nuclear targeting signal is retained. The deduced amino acid sequence of the A. germari LIM protein cDNA showed 81 % identity to both Bombyx mori muscle LIM protein (Mlp) and Drosophila melanogaster Mlp60A and 77% to Epiblema scudderiana Mlp. Northern blot analysis showed that A. germari LIM protein is highly expressed in epidermis and muscle, and less strongly in midgut, but not in the fat body.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.9
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• pp.4367-4385
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• 2016

With millions of people across the globe suffering from Parkinson's disease (PD), an objective, confirmatory test for the same is yet to be developed. This research aims to develop a system which can assist the doctor in objectively saying whether the patient is normal or under risk of PD. The proposed work combines the eye-hand co-ordination behaviour with the DaTscan images in order to determine the risk of this disorder. Initially, eye-hand coordination level of the patient is assessed through a hardware module. Then, the DaTscan image is analysed and used to extract certain geometrical parameters which shall indicate the presence of PD. These parameters are then finally fed into a Multi-Layer Perceptron Neural Network using Levenberg-Marquardt (LM) Back propagation training algorithm. Experimental results indicate that the proposed system exhibits an accuracy of around 93%.

• Tuberculosis and Respiratory Diseases
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• v.43 no.5
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• pp.728-735
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• 1996

Background : Recognition and ingestion of opsonized microorganisms by neutrophils induces the burst of oxidative metabolic activity. Products of the respiratory burst activity provide powerful oxygen dependent killing mechanism. Measurement of respiratory burst activity has been a major indicator of the functional capacity of neutrophils. We determined the respiratory burst activity of neutrophils in patients with pneumonia and observed the changes during the clinical course of pneumonia. Methods: The EDTA blood was drawn from 24 normal controls and same numbers of pneumonia patients. The respiratory burst activity(with the production of $H_2O_2$ which changes nonfluorescent DCF-DA to green fluorescent DCF) in the non-stimulated state and the stimulated state with fMLP and PMA of neutrophils was measured by flowcytometry at day 1, 3, 5, 7 and 9 of admission. Results: The respiratory burst activity of neutrophils was mildly increased by stimulation with fMLP. But there was no statistical significance between normal control and patients with pneumonia. The respiratory burst activity of neutrophils was markedly increased by stimulation with PMA in both groups. There was a significant difference in response to PMA between normal control and patients with pneumonia. The production of hydrogen peroxide from neutrophils was decreased during early course of pneumonia and it was recuperated gradually to normal level in 9 days. Conclusion : Hydrogen peroxide production from neutrophils was suppressed during early course of pneumonia and restored after treatment. It is suggested that the production of oxygen radical in response to PMA stimulation from each neutrophils is decreased rather than increased during the early course of pneumonia.