• Smart Structures and Systems
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• 제25권6호
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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.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2022년도 추계학술발표대회
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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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• 제32권2호
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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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• 제9권1호
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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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• 제10권9호
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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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• 제43권5호
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• pp.728-735
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• 1996

연구배경: 말초혈액내 백혈구의 약 60%를 차지하는 호중구는 세균 및 진균 감염시 일차 방어기전으로 염증부위에 모여 세균 및 진균을 탐식하고 이때 활성화된 호중구는 산화율을 생성하고 이와 함께 탈과립된 효소 등에 의해서 살균작용이 이루어진다. Respiratory burst에 의하여 생성된 산화물은 감염에서의 살균 작용 외에, 염증반응의 중추 역할을 하는 물질로서 조직손상, 약물대사, 노화, 발암과정에 관여하여 각종 질환과의 연관성을 제시하고 있다. 본 연구는 폐렴환자에 있어서 폐렴의 경과 중에 중요한 역할을 하는 호중구로부터 산화물의 생성능력을 보기 위해 Respi ratory burst 활성도를 측정하였다. 방법: 건강인 24명과 폐렴으로 진단된 24명의 환자를 대상으로 혈액내 호중구의 respiratory burst 활성도를 입원 1일, 3일, 5일, 7일, 9일째에 자극하지 않은 상태 및 fMLP(formyl- MethionylLeucyl-Phenylalanine)와 PMA(phorbol myristate acerate)로 자극한 상태에서 DCF-DA를 이용한 유세포분석법으로 측정하였다. 결과: 정상인 호중구는 생리적 자극제인 fMLP에 대해 통계학적으로 의미는 없지만 약간 높은 활성도를 보였고 비생리적 자극제인 PMA에 대해서는 통계학적으로 의미있는 높은 활성도를 나타냈다. 그러나 폐렴환자의 호중구는 PMA에 자극은 되었으나 정상인 호중구보다 활성도가 덜 증가하였다(p<0.01). 호중구의 respiratory burst 활성도를 폐렴과 정상인에서 비교할 때, 자극 전에는 양군간에 차이가 없었고 fMLP로 자극한 경우에도 의미있는 차이는 없었다. 그러나 PMA로 자극한 경우 내원 1일부터 10일까지 폐렴환자는 정상인에 비해 자극에 대한 respiratory burst 활성도의 증가폭이 통계적으로 의미있게 폐렴 초기에 저하되었다가 치료가 진행됨에 따라 정상화되는 양상을 보였다. 결론: 폐렴으로 진단된 환자의 치료과정 중 혈중 호중구로부터의 과산화수소 생성능은 항생제 투여전에는 감소된 상태였으며 이후 치료 개시와 함께 점차 증가하여 9일째에는 정상인 수준으로 회복되었다.