IUID Method-Mix: Towards a Systematic Approach for Intercultural User Interface Design (IUID)

A method-mix for intercultural user interface design (IUID) is explained and exemplified by application examples based on a hybrid approach covering cultural contexts in human-computer interaction (HCI) design using a model of culturally influenced HCI. Cultural influence on HCI is described using cultural variables for user interface design. Assumptions and empirical results regarding the influence of culture on HCI, considering the path of the information processing and the interaction style between Chinese and German users are explained based on cultural models. Subsequent indicators represent the relationship between culture and HCI (culturally imprinted by the user). Correlations adopted theoretically between cultural dimensions and variables for HCI design were investigated. These correlations represent relevant constituents of a model for culturally influenced HCI. Considerations applying this model and evidence for the proper application of the IUID method-mix are presented elucidating why and how cultural aspects play a role in HCI design and usability/UX engineering. The IUID method-mix serves to inspire HCI engineers in the requirement analysis phase as well as HCI designers in the design phase. The readers are thereby sensitized to the challenges of intercultural usability/UX engineering and intercultural HCI design and will be equipped with methodological knowledge relevant to the derivation of design recommendations for user interface design for and in their desired cultural contexts. Finally, implications for practitioners are shown, including HCI style scores and practical design recommendations, to prognosticate the effort and the expenditures for considering the cultural context in IUID.

Computational Methods in the Theory of Synthesis of Radio and Acoustic Radiating Systems

A brief review of the works of the author and his co-authors on the application of nonlinear analysis, numerical and analytical methods for solving the nonlinear inverse problems (synthesis problems) for optimizing the different types of radiating systems, is presented in the paper. The synthesis problems are formulated in variational statements and further they are reduced to research and numerical solution of nonlinear integral equations of Hammerstein type. The existence theorems are proof, the investigation methods of nonuniqueness problem of solutions and numerical algorithms of finding the optimal solutions are proved.

Improvement Detecting Method of Optical Axes Parallelism of Shipboard Photoelectrical Theodolite Based on Image Processing

An improvement detecting method was proposed according to the disadvantages of testing method of optical axes parallelism of shipboard photoelectrical theodolite (short for theodolite) based on image processing. Pointolite replaced 0.2'' collimator to reduce the errors of crosshair images processing and improve the quality of image. What’s more, the high quality images could help to optimize the image processing method and the testing accuracy. The errors between the trial results interpreted by software and the results tested in dock were less than 10'', which indicated the improve method had some actual application values.

Induction Heating in the Processing of Ti &Zr

Induction heating has important applications in science and industry. The method of induction heating can be successfully used for melting and heat treatment of titanium and zirconium alloys. Different applications using induction precise heating before plastic deformation are discussed in this paper. For alloys of many metals such as titanium, zirconium, niobium, tantalum, etc., it is important to provide precision heating with a high degree of homogeneity of the temperature field and strict adherence to the condition of heating. This is explained by polymorphism of the alloys based on these metals, their chemical activity at high temperatures and the specific thermal and electrical properties. It is very important for induction heating to define the extreme achievable unevenness of the temperature field. For special alloys it is necessary to use resistance furnaces for homogenization of billets’ temperature after heating in the inductors. Optimal control can be used for massive billets to reduce significantly the heating time, energy expenses and to improve the quality of the temperature field distribution. Optimization of induction heating process can be achieved by synchronous solution of the problem of optimal control and design with specially developed models.

Modified Differential Transform Method (DTM) Simulation of Hydromagnetic Multi-Physical Flow Phenomena from a Rotating Disk

A similarity solution for the steady hydromagnetic convective heat and mass transfer with slip flow from a spinning disk with viscous dissipation and Ohmic heating yields a system of non-linear, coupled, ordinary differential equations. These equations are analytically solved by applying a newly developed method namely the DTM-Padé technique which is a combination of the Differential Transform Method (DTM) and the Padé approximation. A full analytical solution is presented, as a benchmark for alternative numerical solutions. DTM-Padé is implemented without requiring linearization, discretization, or perturbation, and holds significant potential for solving strongly nonlinear differential equations which arise frequently in fluid dynamics. The regime studied is shown to be controlled by the slip parameter (γ), magnetohydrodynamic body force parameter (M), Eckert (viscous heating) number (Ec), Schmidt number (Sc), Soret number (Sr), Dufour number (Du) and Prandtl number (Pr). The influence of selected parameters on the evolution of dimensionless velocity, temperature and concentration distributions is studied graphically. Increasing magnetic field (M) is found to significantly inhibit the radial (f) and tangential (g) velocities, but to accentuate the axial velocity field (h);furthermore temperature (θ) and concentration (φ) are both enhanced with increasing M. Increasing Soret number (Sr) acts to boost the dimensionless concentration (φ). Temperatures are significantly elevated in the boundary layer regime with a rise in Eckert number (Ec). Excellent correlation between the DTM-Padé technique and numerical (shooting) solutions is achieved. The model has important applications in industrial energy systems, process mechanical engineering, electromagnetic materials processing and electro-conductive chemical transport processes.

Research on the Processing Methods of the Computer Format Information Flow in the Network English Translation System

The development o f the network technology, and especially the web search engine, has brought great changes to the field of the English translation. Translators can acquire the background information of the translated texts by using the web search engine correctly, inquire about the correct translation methods of the rare professional terms, apply the fixed sentence patterns, and check the correctness of the translation, so as to improve the translation speed and quality.

Rapid Determination of Seed Number and Thousand Kernel Weight of Asparagus officinalis L.Using Image Processing Method

Asparagus officinalis L.is favored by its high health function,but its hybrid seeds are expensive.The amount of seed,seed plumpness and germination rate are related to the production costs of breeding enterprises and large growers.Therefore,it is necessary to investigate the seed number and thousand kernel weight of A.officinalis L.This study developed a quick and accurate method to measure the seed number and thousand kernel weight of A.officinalis L.using image processing technology.Seed sample of A.officinalis L.was scanned with 200 dpi resolution,and the seed number was then obtained using Image-ProPlus software.After weighing the seeds,thousand kernel weight was finally calculated.By recording‘macro’,the batch processing of the samples can also be realized.This method is simple and accurate,and can greatly save the time of investigation.

Wireless Infrared Pyrometer with Fiber Optic: Construction and Processing Algorithms

In this paper, developed wireless portable infrared pyrometer with dual channel fiber optic is described. The pyrometer measures surface temperature in wide infrared spectral range of 2 - 25 um. A data processing algorithm based on the methods of synchronous detection providing

A new PAT application: Optimization of processing methods for honeysuckle flower (Lonicerae Japonicae Flos) and wild honeysuckle flower (Lonicerae Flos)

Objective:A novel processing analytical framework of Chinese Material Medica (CMM) includes breeding process analysis,planting process analysis,producing process analysis and manufacture process analysis.In order to study this framework,we used quality control of honeysuckle flower (Lonicerae japonicae Flos) including diploid and tetraploid Lonicera japonica,and wild honeysuckle flower (Lonicerae Flos) including Lonicerae hypoglauca,Lonicerae confusa,Lonicerae fulvotomentosa and Lonicerae macranthoides as an example.Methods:A total of 360 samples were analyzed from three variables including species,growing areas,and optimization of processing methods.For quantitative analysis,chlorogenic acid (CA),isochlorogenic acid A (3,5-DCA),and isochlorogenic acid C (4,5-DCA) were measured with high performance liquid chromatography (HPLC).Results:The three organic acids contents are higher in wild honeysuckle flower than honeysuckle flower;L.japonica (tetraploid) is higher than L.japonica (diploid).Modern processing methods (kill-enzyme torrefaction and fixing machine drying) are popular in growing areas and are superior to traditional methods (sun and shade drying).Conclusions:Novel process analysis concepts in processing analytical technology (PAT) enriched the Chinese MateHal Medica contents.

常压盐溶液法制备α-半水石膏的工艺参数研究

二水石膏在盐介质中部分脱水可制得高强度α-半水石膏.采用单因素实验考察了媒晶剂、盐介质、洗涤水温度、产品干燥温度、产品粒度等因素对常压盐溶液法制备α-半水石膏的抗压强度的影响,实验结果表明:当媒晶剂为柠檬酸钠与Al3 + 等的复合物(占盐溶液的质量百分比为1.0 % )、盐介质为15 % (质量百分比)的KCl水溶液、洗涤水温度在98℃以上、产品干燥温度为110 - 130℃、产品粒度控制在7- 4 μm时,产品抗压强度可达4 4MPa .

基于组合评价方法的绿色性焊接工艺规划评价研究

结合焊接工艺的特点,确立由时间T、质量Q、成本C、资源消耗R、环境影响E五个方面构成的绿色性焊接工艺规划评价指标体系,并在此基础上,建立一种将熵权法、模糊评价法分别作用于评价过程中各个阶段的组合评价方法,该方法能较好地避免评价过程中的主观性和不确定性,最后通过实例验证该方法的科学性和可行性。

线性随机系统振动模态参数变异规律的研究

采用MonteCarlo随机有限元方法,对多自由度线性振动系统中由于结构参数的随机变异而引起的模态参数(模态频率、模态振型和模态阻尼比)变异的规律进行了研究.文中首次提出了相对均差系数的概念,应用相对均差系数和变异系数这两个无量纲量,从不同角度定量分析随机系统模态参数的变异性.数值试验结果表明,对于小阻尼比例模型,随着结构参数变异性的增大,系统模态频率均值单调变化,较低阶模态频率均值单调减小,高阶模态频率均值单调增加;模态阻尼比均值单调增加;第一阶模态振型相对均值系统的变化很小.一般地,结构参数的随机变异对模态振型均值的影响大于对模态频率、模态阻尼比均值的影响.

Research and application of sidewall stability predic-tion method based on analytic hierarchy process and fuzzy integrative evaluation method

As a difficult problem, sidewall instability has been beset drilling workers all the time. Not only does it cause huge economic losses, but also it determines the success or failure of drilling engineering. Due to complex relationship between various factors which influence sidewall stability, it hasn’t been found a widely applied method to predicate sidewall stability so far. Therefore, in order to formulate corresponding measures to ensure successful drilling, searching for a kind of better method to forecast sidewall stability before drilling becomes an imperative and significant topic for drilling engineering. On the basis of traditional sidewall stability analytical method, we have put forward the Fuzzy Comprehensive Evaluation Method to forecast sidewall stability regulation using physico-chemical performance parameters of the clay mineral. This method has been improved by introducing the Analytic Hierarchy Process (AHP) and the Maximum Subjection Principle in the application process. After introducing Analytic Hierarchy Process to identify weight, and Maximum Subjection Principle to obtain evaluation results, it has reduced the influence of human factors and enhanced the accuracy of the fuzzy evaluation results. The application in Hailaer Area indicates that this method can predict sidewall stability of gas-oil well with high credibility and strong practicability.

Landfill Site Selection Using GIS and Multi-Criteria Decision-Making AHP and SAW Methods: A Case Study in Sulaimaniyah Governorate, Iraq

Lack of land for waste disposal is one of the main problems facing urban areas in developing countries. The Sulaimaniyah Governorate, located in northern Iraq, is one of the main cities of the country in the Kurdistan Region, covering an area of 2400 km2. Currently, there is no landfill site in the study region that meets scientific and environmental requirements, inappropriate dumping of solid waste causes adverse effects on the environment, economic and urban aesthetic. To overcome with this phenomenon, it is very crucial to suggest a landfill site, even in countries that recycle or burn their waste to protect the environment. Landfill sites should be carefully selected by considering all regulations and other restrictions. The integration of geographic information systems and multi-criteria decision analysis is used in this study to select suitable landfill locations in the region, for this purpose, thirteen layers are prepared according to their importance including urban area, villages, rivers, groundwater depth, slope, elevation, soil types, geological formations, roads, oil and gas field, land use classification, archaeological site and power lines. Two different methods (simple additive weighting and analytic hierarchy process) are implemented in a geographical information system to obtain the suitability index map for candidate landfill sites, where all these sites satisfied the scientific and environmental criteria which were adopted in this study. The comparison of the maps resulting from these two different methods demonstrates that both methods produced consistent results.

基于方向微分的运动模糊方向鉴别

在曝光的瞬间,造成图像模糊的被摄景物与相机的相对运动,虽可近似作为直线运动来处理,但模糊图像中的运动模糊方向未知。若能由模糊图像出发,估计出运动模糊方向,则可以通过图像旋转将运动模糊方向旋转到水平轴,这样图像恢复就可由2维问题转化为1维问题,这就大大降低了图像恢复的难度,并为图像恢复的并行计算创造了有利条件。为实现这一目的,将原图像看作是各向同性的一阶马尔科夫过程,提出了一种新的基于方向微分的运动模糊方向鉴别方法,该方法不仅可以高精度鉴别匀速运动、加速运动、振动等各种运动的模糊方向,而且具有鉴别范围大、鉴别精度高、稳定性好的优点。另外,为了具体实现这种鉴别,还给出了采用双线性插值或三次C样条插值进行方向鉴别的详细计算方法,其中双线性插值方法计算量小,但三次C样条插值方法的鉴别精度比双线性插值方法高,而且通过加权平均,还可进一步降低各种随机因素引起的鉴别误差,这不仅提高了鉴别精度,而且增强了运动模糊方向鉴别的稳定性,因此能够更加有效地进行方向鉴别。

制备工艺对氧化铝包裹铝复合材料性能的影响

采用非匀相沉淀法和常压烧结的方法制备出了Al2O3包裹Al复合陶瓷。研究了起始Al(NO3)3浓度、氨水滴定速度、反应体系pH值以及煅烧温度等工艺条件对包裹粉体性能的影响,同时对Al2O3/Al复合陶瓷的微观结构和性能进行了研究。结果表明,Al(NO3)3溶液浓度控制在0.2mol/L,滴定速度为25ml/min,反应体系pH值为8￣9时可以获得团聚少、分散性好的Al(OH)3包裹Al粉体,α-Al2O3的转变温度降至1000°C左右。Al2O3/Al复合陶瓷结构致密,包裹层中的Al2O3为500nm左右,复合材料的断裂韧性有显著提高。

Autofocus technique for ISAR imaging of uniformly rotating targets based on the ExCoV method

The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characterized by the unknown rotation rate of a moving target, thus the rotation rate and the sparse signal should be jointly estimated. Especially due to the imperfect coarse motion compensation, we consider the phase error correction problem in the context of the sparse signal reconstruction. To address this issue, we propose an iterative reweighted method, which jointly estimates the rotation rate, corrects the phase error and reconstructs a high resolution ISAR image. The proposed method gives a gradual and interweaved iterative process to refine the unknown parameters to achieve the best sparse representation for the ISAR signals. Particularly, in ISAR image reconstruction, the l1norm minimization algorithm is sensitive to user parameters. Setting these user parameters are not trivial and the reconstruction performance depends significantly on their choices. Then, we consider an expansion-compression variance-component (ExCoV) based method, which is automatic and demands no prior knowledge about signal-sparsity or measurement-noise levels. Both numerical and electromagnetic data experiments are implemented to show the effectiveness of the proposed method. It is shown that the proposed method can estimate the rotation rate and correct the phase errors simultaneously, and its superior performance is proved in terms of high resolution ISAR image. © 2017 Beijing Institute of Aerospace Information.

结构可靠度分析的高斯过程重要抽样方法

针对传统复杂水工结构可靠度分析方法的局限性,提出了结构可靠度分析的高斯过程重要抽样方法。通过高斯过程机器学习方法实现结构功能函数及其偏导数的显式表达,进而结合传统重要抽样法计算结构的失效概率与可靠指标。实例验证了方法的可行性,与传统方法相比较,高斯过程重要抽样方法具有计算精度高、计算效率高和参数自适应化等优点。

Analysis of DAR(1)/D/s Queue with Quasi-Negative Binomial-II as Marginal Distribution

In this paper we consider the arrival process of a multiserver queue governed by a discrete autoregressive process of order 1 [DAR(1)] with Quasi-Negative Binomial Distribution-II as the marginal distribution. This discrete time multiserver queueing system with autoregressive arrivals is more suitable for modeling the Asynchronous Transfer Mode(ATM) multiplexer queue with Variable Bit Rate (VBR) coded teleconference traffic. DAR(1) is described by a few parameters and it is easy to match the probability distribution and the decay rate of the autocorrelation function with those of measured real traffic. For this queueing system we obtained the stationary distribution of the system size and the waiting time distribution of an arbitrary packet with the help of matrix analytic methods and the theory of Markov regenerative processes. Also we consider negative binomial distribution, generalized Poisson distribution, Borel-Tanner distribution defined by Frank and Melvin(1960) and zero truncated generalized Poisson distribution as the special cases of Quasi-Negative Binomial Distribution-II. Finally, we developed computer programmes for the simulation and empirical study of the effect of autocorrelation function of input traffic on the stationary distribution of the system size as well as waiting time of an arbitrary packet. The model is applied to a real data of number of customers waiting for checkout in an airport and it is established that the model well suits this data.

Cognitive Control and Brain Network Dynamics during Word Generation Tasks Predicted Using a Novel Event-Related Deep Brain Activity Method

There is a growing interest in the diagnosis and treatment of patients with dementia and cognitive impairment at an early stage. Recent imaging studies have explored neural mechanisms underlying cognitive dysfunction based on brain network architecture and functioning. The dorsal anterior cingulate cortex (dACC) is thought to regulate large-scale intrinsic brain networks, and plays a primary role in cognitive processing with the anterior insular cortex (aIC), thus providing salience functions. Although neural mechanisms have been elucidated at the connectivity level by imaging studies, their understanding at the activity level still remains unclear because of limited time-based resolution of conventional imaging techniques. In this study, we investigated temporal activity of the dACC during word (verb) generation tasks based on our newly developed event-related deep brain activity (ER-DBA) method using occipital electroencephalogram (EEG) alpha-2 powers with a time resolution of a few hundred milliseconds. The dACC exhibited dip-like temporal waveforms indicating deactivation in an initial stage of each trial when appropriate verbs were successfully generated. By contrast, monotonous increase was observed for incorrect responses and a decrease was detected for no responses. The dip depth was correlated with the percentage of success. Additionally, the dip depth linearly increased with increasing slow component of the DBA index at rest across all subjects. These findings suggest that dACC deactivation is essential for cognitive processing, whereas its activation is required for goal-oriented behavioral outputs, such as cued speech. Such dACC functioning, represented by the dip depth, is supported by the activity of the upper brainstem region including monoaminergic neural systems.