Optimizing ANN models with PSO for predicting short building seismic response

The present study aimed to optimize the artificial neural network (ANN) with one of the well-established optimization algorithms called particle swarm optimization (PSO) for the problem of ground...     

Compartmental residence time estimation in batch granulators using a colourimetric image analysis algorithm and Discrete Element Modelling

In this paper we present an experimental technique and a novel colourimetric image analysis algorithm to economically evaluate particle residence times within regions of batch granulators for use in compartmental population balance models. Residence times are extracted using a simple mixing model in conjunction with colourimetric data. The technique is applied to the mixing of wet coloured granules (binary and ternary systems) in a laboratory scale mixer. The resulting particle concentration evolutions were in qualitative agreement with those from the mixing model. It was seen that the algorithm was most stable in the case of the binary colour experiments. Lastly, simulations using the Discrete Element Method (DEM) were also performed to further validate the assumptions made in the analysis of the experimental results. Particle concentrations from the simulations showed the same trends as the experiment and highlighted the importance of particle size distributions on the DEM residence times.     

Quality management systems: a study of authority and empowerment

This paper examines the types of power in organizations, authority, empowerment, organization politics, employees' resistance to change, leadership style and conflicts within construction organizations which may negate the effective development, implementation and maintenance of quality management systems. The results of a questionnaire and in-depth interviews are analysed. Diverse management factors including support of senior management, appropriate leadership style, cultivating employee's enthusiasm and participation, open communication and feedback must be managed properly to achieve quality management systems in the construction industry. Cet article examine les differents types de pouvoir dans les societes industrielles, l'autorite, le renforcement des moyens d'action, les principes d'organisation, la resistance du personnel au changement, les styles de direction et les conflits a l'interieur des societes du batiment et de la construction qui peuvent avoir un effet negatif sur le developpement efficace, la mise en oeuvre et le maintien en l'etat de systemes de gestion de la qualite. Les auteurs analysent les reponses a un questionnaire et les resultats d'entretiens approfondis. Un certain nombre de facteurs de gestion, notamment le soutien fourni par les cadres superieurs, le style de direction approprie, l'enthousiasme du personnel a cultiver, la participation du personnel, la transparence dans la communication et l'information en retour, doivent etre geres correctement pour que l'industrie du batiment dispose de systemes de gestion de la qualite.     

Swarm-based analysis through social behavior of grey wolf optimization and genetic programming to predict friction capacity of driven piles

Engineering with Computers - The advantage of new data mining-based solutions, and more recently, optimization algorithms (i.e., basically swarm-based solutions) have enhanced traditional...     

Optimal occlusion of teeth using planar structure information

In orthodontics, occlusion is defined as the relationship between the upper and lower sets of teeth when the jaws are brought together. Understanding the nature of occlusion has important significance for the diagnosis and treatment of occlusal dysfunction and for planning reconstructive dentistry. The materials of study are 31 pairs of manually aligned dental study models. The upper and lower models are independently digitized using a laser surface scanner. Occlusion can be recovered by detecting and aligning a set of planes on the models. We describe a two-step procedure for determining the occlusal relationship using digitized dental models. The first step is a coarse alignment using four planar structures that are detected by K-means clustering, followed by principal component analysis. The second step is a refinement process using a variant of the iterative closest point technique. The quantitative results show that the algorithm is accurate, with an average measurement discrepancy of 0.74 mm between the physical and virtual models.     

英国排水管网建模技术实例分析

基于排水管网水力模型软件(InfoWorks CS),介绍了一个英国小城镇排水管网建模过程.在实例中详述了英国管网建模规范、数据管理、模型构建以及模型检验等方面内容,最后针对我国现阶段的排水管网建模提出了值得借鉴的地方.     

Sine cosine grey wolf optimizer to solve engineering design problems

Balancing the exploration and exploitation in any nature-inspired optimization algorithm is an essential task, while solving the real-world global optimization problems. Therefore, the search agents of an algorithm always try to explore the unvisited domains of a search space in a balanced manner. The sine cosine algorithm (SCA) is a recent addition to the field of metaheuristics that finds the solution of an optimization problem using the behavior of sine and cosine functions. However, in some cases, the SCA skips the true solutions and trapped at sub-optimal solutions. These problems lead to the premature convergence, which is harmful in determining the global optima. Therefore, in order to alleviate the above-mentioned issues, the present study aims to establish a comparatively better synergy between exploration and exploitation in the SCA. In this direction, firstly, the exploration ability of the SCA is improved by integrating the social and cognitive component, and secondly, the balance between exploration and exploitation is maintained through the grey wolf optimizer (GWO). The proposed algorithm is named as SC-GWO. For the performance evaluation, a well-known set of benchmark problems and engineering test problems are taken. The dimension of benchmark test problems is varied from 30 to 100 to observe the robustness of the SC-GWO on scalability of problems. In the paper, the SC-GWO is also used to determine the optimal setting for overcurrent relays. The analysis of obtained numerical results and its comparison with other metaheuristic algorithms demonstrate the superior ability of the proposed SC-GWO.

     

High Temperature Microhardness of Single Crystal Mullite

The microhardness ( H ) of single crystal, orthorhombic mullite was measured on (010) and (001) faces from room temperature up to 1400°C. The microhardness versus temperature curves display sigmoidal shapes. The mean microhardness at room temperature is ∼16 Gpa and it decreases with temperature to H is ∼ 13 GPa at 300°C. At >300°C, the microhardness is only slightly reduced with temperature to H is ∼10 GPa at 1000°C. Above this temperature limit, it markedly decreases again, to a mean value of ≈6 GPa at 1400°C. Up to ∼1000°C the (010) and (001) microhardnesses are very similar. Above ∼1000°C, however, the hardness gradually becomes anisotropic, with H ₍₀₁₀₎ being twice as high as H ₍₀₀₁₎ at 1400°C ( H ₍₀₁₀₎∼ 8 GPa, H ₍₀₀₁₎∼ 4 GPa).     

Intelligent Handover Triggering Mechanism in 5G Ultra-Dense Networks Via Clustering-Based Reinforcement Learning

Mobile Networks and Applications - Ultra-dense networks (UDNs) are considered as key 5G technologies. They provide mobile users a high transmission rate and efficient radio resource management....