A Study of Optimum Switching Problem for Production Systems Considering Efficiency, Delivery Time and Green Evaluation

This paper aims to derive the optimal switching strategy for production system considering efficiency, delivery time and green evaluation. Nowadays more and more manufacturing and logistics systems not only pursue better work efficiency, but also focus on green energy evaluation issues. Cost reduction and shortening of delivery time are always important management issues in pursuit of efficiency and optimization of the entire production system because of global production competition. In a market situation where customer needs change in various ways, in particular, due to inadequate quality, changes in the local environment, natural disasters and so on. Therefore, prompt planning of management measures such as switching work processes and changing production methods has become an important issue. On the other hand, since the Paris Agreement came into effect, the construction of an environment-friendly production system has been required as an approach to environmental problems such as global warming. In this paper, we propose an optimum switching model of production systems considering efficiency, delivery time and green evaluation using a green evaluation index (GEC: Green Energy Coefficient). We also discuss the optimal switching strategy by numerical observation.

Design Support Method Based on Analysis of Shape Impression

In recent years, aesthetic design is becoming increasingly important in industrial product development due to the growing maturity of product functions. The designer is required to reflect consumer needs in the aesthetic design while giving consideration to the applications and functions of the product. For this reason, effective techniques enabling design creation based on consumer preference and needs are indispensable. The Taguchi method has been effectively used for the robust design of products. In this study, we proposed a design support method applying the Taguchi Method to robust design in respect to the inconsistencies of human kansei（sensitivity）, and specifically applied it for quantitatively analyzing the robustness of design solutions created in accordance with the design concept of a digital camera.

Anisotropic brittle-ductile transition of monocrystalline sapphire during orthogonal cutting and nanoindentation experiments

Single-crystal sapphire is utilized as a high-performance engineering material,especially in extreme and harsh environments.However,due to its extreme hardness and brittleness,the machinability of sapphire is still a challenge.By means of nanoindentation and plunge-cut experiments,the anisotropic brittle-ductile transition of the prismatic M-plane and rhombohedral R-plane is examined by analyzing crack morphologies and the critical depth-of-cut(CDC).The experimental results of the nanoindentation tests are correlated to the plunge-cut experiment.Both the prism plane and the rhombohedral crystal plane exhibit a two-fold symmetry of ductility with various crack patterns along the machined grooves.The direction-dependent plasticity of the hexagonal sapphire crystal is mainly connected to a twinning process accompanied by slip dislocation.

Feasibility Study of Parameter Identification Method Based on Symbolic Time Series Analysis and Adaptive Immune Clonal Selection Algorithm

The feasibility of a parameter identification method based on symbolic time series analysis (STSA) and the adaptive immune clonal selection algorithm (AICSA) is studied. Data symbolization by using STSA alleviates the effects of harmful noise in raw acceleration data. The effect of the parameters in STSA is theoretically evaluated and numerically verified. AICSA is employed to minimize the error between the state sequence histogram (SSH) that is transformed from raw acceleration data by STSA. The proposed methodology is evaluated by comparing it with AICSA using raw acceleration data. AICSA combining STSA is proved to be a powerful tool for identifying unknown parameters of structural systems even when the data is contaminated with relatively large amounts of noise.

Homeostasis Lighting Control System Using a Sensor Agent Robot

In this study, “homeostasis”, the function by which living things keep their constancy, was emulated as a lighting control for a building space. The algorithm we developed mimics the mechanisms of the endocrine and immune systems. The endocrine system transmits information entirely, whereas the immune system transmits information with a concentration gradient. A lighting control system using the proposed algorithm was evaluated in a simulation and experiment using a sensor agent robot. In this algorithm, a robot recognizes a person’s behavior and uses it to decide his or her preference as to the illuminance. The results indicate that the algorithm can be used to realize a comfortable lighting control in several situations.

Magnesium Alloy Wheel Structure Design and Wheel Casting Process Performance Analysis

Recently,as the automotive industry is increasingly demanding on energy saving and environmental protection,people are paying more attention to the lightweight design and comfort of automobiles.Casting is a very important part of wheel manufacturing.Casting method includes centrifugal casting,sand casting,high pressure casting,low pressure casting and so on.In this research,magnesium alloy wheel casting numerical simulation was carried out.Analysis of casting process was researched based on finite element theory,filling and solidification data at the end of the simulation were obtained for guidance of produce.

Improved Capon Estimator for High-Resolution DOA Estimation and Its Statistical Analysis

Despite some efforts and attempts have been made to improve the direction-of-arrival(DOA)estimation performance of the standard Capon beamformer(SCB)in array processing,rigorous statistical performance analyses of these modified Capon estimators are still lacking.This paper studies an improved Capon estimator(ICE)for estimating the DOAs of multiple uncorrelated narrowband signals,where the higherorder inverse(sample)array covariance matrix is used in the Capon-like cost function.By establishing the relationship between this nonparametric estimator and the parametric and classic subspace-based MUSIC(multiple signal classification),it is clarified that as long as the power order of the inverse covariance matrix is increased to reduce the influence of signal subspace components in the ICE,the estimation performance of the ICE becomes equivalent to that of the MUSIC regardless of the signal-to-noise ratio(SNR).Furthermore the statistical performance of the ICE is analyzed,and the large-sample mean-squared-error(MSE)expression of the estimated DOA is derived.Finally the effectiveness and the theoretical analysis of the ICE are substantiated through numerical examples,where the Cramer-Rao lower bound(CRB)is used to evaluate the validity of the derived asymptotic MSE expression.

一种基于蚁群算法的聚类组合方法

蚂蚁等群居类昆虫被看作能解决复杂问题的分布式系统,研究者从它们的协作性能以及自组织、信息素通信、任务划分等机理中获得灵感,已在组合优化、通信网络、机器人等许多应用领域找到解决问题的新方法。聚类作为一种无监督的学习,能根据数据间的相似程度自动地进行分类。基于蚁群算法的聚类方法已经在当前数据挖掘研究中得到应用。本文提出的基于蚁群算法的聚类组合新方法,模仿多蚁群的协作性能,将运动速度类型各异的多个蚁群,独立而并行地进行聚类分析,然后组合其聚类结果为超图,再用蚁群算法对超图进行2次划分。实验结果表明,该方法能自动决定聚类的数目,聚类组合方法能明显改善聚类质量。

On Turbulent Contribution to Frictional Drag in Wall-Bounded Turbulent Flow

我们为对摩擦医生的狂暴的贡献建议一个简单模型反对一围住墙狂暴怎么基于狂暴的爆炸事件的典型参数。它在水和流动在实验由粒子 imagevelocimetry 调查了的拖减少表面活化剂答案上被验证。对皮肤磨擦因素的狂暴的贡献与空间频率的产品线性地成正比，狂暴的爆炸的强度从墙发源，这被获得。

Hybrid Methodology for Structural Health Monitoring Based on Immune Algorithms and Symbolic Time Series Analysis

This hybrid methodology for structural health monitoring (SHM) is based on immune algorithms (IAs) and symbolic time series analysis (STSA). Real-valued negative selection (RNS) is used to detect damage detection and adaptive immune clonal selection algorithm (AICSA) is used to localize and quantify the damage. Data symbolization by using STSA alleviates the effects of harmful noise in raw acceleration data. This paper explains the mathematical basis of STSA and the procedure of the hybrid methodology. It also describes the results of an simulation experiment on a five-story shear frame structure that indicated the hybrid strategy can efficiently and precisely detect, localize and quantify damage to civil engineering structures in the presence of measurement noise.

Damage Detection Method Using Support Vector Machine and First Three Natural Frequencies for Shear Structures

A method is proposed for detecting damage to shear structures by using Support Vector Machine (SVM) and only the first three natural frequencies of the translational modes. This method is able to determine the damage location in any story of a shear building with only two vibration sensors;to obtain modal frequencies, one sensor on the ground detects an input and the other on the roof detects the output. Based on the shifts in the first three natural frequencies, damage location indicators are proposed, and used as new feature vectors for SVM. Simulations of five-story, nine-story and twenty-one-story shear structures and experiments on a five-story steel model were used to test the performance of the proposed method.

Insert geometry effects on surface roughness in turning process of AISI D2 steel

Surface roughness is an important parameter for ensuring that the dimension of geometry is within the permitted tolerance.The ideal surface roughness is determined by the feed rate and the geometry of the tool.However,several uncontrollable factors including work material factors,tool angle,and machine tool vibration,may also influence surface roughness.The objective of this study was to compare the measured surface roughness (from experiment) to the theoretical surface roughness (from theoretical calculation) and to investigate the surface roughness resulting from two types of insert,‘C’ type and ‘T’ type.The experiment was focused on the turning process,using a lathe machine Colchester 6000.The feed rate was varied within the recommended feed rate range.We found that there were large deviations between the measured and theoretical surface roughness at a low feed rate (0.05 mm/r) from the application of both inserts.A work material factor of AISI D2 steel that affects the chip character is presumably responsible for this phenomenon.Interestingly,at a high feed rate (0.4 mm/r),the ‘C’ type insert resulted in 40% lower roughness compared to the ‘T’ type due to the difference in insert geometry.This study shows that the geometry of an insert may result in a different surface quality at a particular level of feed rate.

A study of optimal switching problem in limited-cycle with multiple periods

In a social system or production line,the restrictions of the cost and the due-time exist in each period.Generally,whether these restrictions are satisfied is dependent not only on the risks of this period,but also on the risks generated beforehand.We consider controlling the production process by switching the processing rate to a faster one at a given period.This paper deals with the optimal switching period to minimize the total expected cost of the production process.We first propose the optimal switching period model,and then the mathematic formulation of the total expectation is presented.Finally,the policy of optimal switching period is investigated in detail by numerical experiments.

West of Japan/East of Europe: Translating Architectural Legacies and the Case of Bruno Taut’s Hyuga Villa

Based on communications presented at the international symposium‘West of Japan/East of Europe’,hosted by the Department of Architecture at Xi’an Jiaotong-Liverpool University in concomitance with the exhibi­tion‘Bruno Taut’s Hyuga Villa in Atami,Japan’,this text discusses the question of cultural translation in architecture departing from the example of Hyuga Villa,realised by Taut in 1936.Despite the inherently immobile status of archi­tecture,architectural ideas travel widely,as well as their conceivers,the architects.The cultural passage implicit to translation is never flawless,though.Hyuga Villa offers a good case in point,since it was conceived by an architect who had only a partial grasp of local culture and who tried to integrate elements of both Western and Japanese design.But what are the implications of‘translating’architecture?Can we translate not only words but also images,details,building conventions,even aesthetic sensitivities?And is everything translatable?Applied to an artifact recognised today as an important testimony to the encounter between Western and Eastern design cultures,these questions relate to issues that are central to the debate on both architectural history and built heritage,proposing an alternative approach in terms of method and scope.

Decentralized load frequency control for two-area interconnected power system

This paper proposes a decentralized output feedback control scheme applied to two-area interconnected power system. The controller synthesis problem is formulated as the scaled H∞control problem and a new LMI-based algorithm is proposed to compute the decentralized controller. The proposed controller provides robustness with regard to parametric uncertainties and also attenuates bounded exogenous disturbances in the sense of L2-gain. Simulation results clearly show the effectiveness of developed decentralized output feedback control scheme.

Nodes2STRNet for structural dense displacement recognition by deformable mesh model and motion representation

Displacement is a critical indicator for mechanical systems and civil structures.Conventional vision-based displacement recognition methods mainly focus on the sparse identification of limited measurement points,and the motion representation of an entire structure is very challenging.This study proposes a novel Nodes2STRNet for structural dense displacement recognition using a handful of structural control nodes based on a deformable structural three-dimensional mesh model,which consists of control node estimation subnetwork(NodesEstimate)and pose parameter recognition subnetwork(Nodes2PoseNet).NodesEstimate calculates the dense optical flow field based on FlowNet 2.0 and generates structural control node coordinates.Nodes2PoseNet uses structural control node coordinates as input and regresses structural pose parameters by a multilayer perceptron.A self-supervised learning strategy is designed with a mean square error loss and L2 regularization to train Nodes2PoseNet.The effectiveness and accuracy of dense displacement recognition and robustness to light condition variations are validated by seismic shaking table tests of a four-story-building model.Comparative studies with image-segmentation-based Structure-PoseNet show that the proposed Nodes2STRNet can achieve higher accuracy and better robustness against light condition variations.In addition,NodesEstimate does not require retraining when faced with new scenarios,and Nodes2PoseNet has high self-supervised training efficiency with only a few control nodes instead of fully supervised pixel-level segmentation.

Integrated in-process chatter monitoring and automatic suppression with adaptive pitch control in parallel turning

Simultaneous processes such as parallel turningor milling offer great opportunities for more efficientmanufacturing because of their higher material removalrates. To maximize their advantages, chatter suppressiontechnologies for simultaneous processes must be devel-oped. In this study, we constructed an automatic chattersuppression system with optimal pitch control for shared-surface parallel turning with rigid tools and a flexibleworkpiece, integrating in-process chatter monitoring basedon the cutting force estimation. The pitch angle betweentwo tools is tuned adaptively in a position control system inaccordance with the chatter frequency at a certain spindlespeed, in a similar manner as the design methodology forvariable-pitch cutters. The cutting force is estimatedwithout using an additional external sensor by employing amulti-encoder-based disturbance observer. In addition, thechatter frequency is measured during the process by per-forming a low-computational-load spectrum analysis at acertain frequency range, which makes it possible to cal-culate the power spectrum density in the control system ofthe machine tool. Thus, the constructed system for automatic chatter suppression does not require any addi-tional equipment.