Assessment on the economic damage of trading households due to urban inundation

Floods impact most of the subjects living and producing in Ho Chi Minh City (HCMC). Trading households are one of the important economic sectors in the economic development of HCMC. This subject contributes greatly to development from GDP to creating jobs and attracting a large workforce cooperating with them such as goods traffic and business services. Because the trading households are of small business scale and very diverse, they are often scattered in residential areas, along roads. They are also adversely affected and suffer economic losses due to inundation like citizens. The determination of damage level to all objects including trading households is one of the flood management activities and the basis for infrastructure development projects as well as social support policies of the city. Through a direct survey of more than 3,419 trading households and applying the economic loss curve method, the research has established a correlative function for economic losses due to inundation with flood depth and duration. With the correlative function of flood damage for trading households, the district and city's agencies will have a new tool to assess and analyze the damage level of trading households selling in the area.

ỨNG DỤNG PHƯƠNG PHÁP CỰC ĐẠI WAVELET VÀ SỰ CHUẨN HÓA THAM SỐ TỈ LỆ ĐỂ XÁC ĐỊNH CÁC NGUỒN DỊ THƯỜNG TRỌNG LỰC LIỀN KỀ

Nowadays, the wavelet transform is frequently used in processing and interpretaion of potential field data, to detect accurately the location of the anomaly sources and their properties. For gravity anomalies of adjacent sources, they always superimpose upon each other not only in the spatial domain but also in the frequency domain, making the identification of these sources significantly problematic. In this paper, a new mother wavelet for effective analysis of the locations of the close potential field sources was introduced. By theoretical modeling, using the wavelet transform modulus maxima (WTMM) method, we set up a correlative function between the scale parameter and gravity source depth. Moreover, a scale normalization on the wavelet coefficients was applied to enhance resolution for the separation of these sources in the scalograms, thereby determining their depth. After verifying the reliability of the proposed method on the modeling data, we proposed a process for the location of the gravity anomalies of adjacent sources using the wavelet transform, and then application for analysing some of the gravity profiles in the Mekong Delta. The results of this interpretation were consistent with previously published results, but the level of resolution for this technique was quite coincidental with other methods using different geological data.

Identification of magnetic anomalies of adjacent sourses using the wavelet transform modulus maxima and scale normalization

In the potential field inverse problems, accurate determination of the location for the anomaly sources and their properties played an important role. For geomagnetic anomalies of adjacent sources, they always superimpose upon each other not only in the spatial domain but also in the frequency domain, making the identification of these sources significantly problematic. In this paper, a new mother wavelet for effective analysis the properties of the close potential field sources was used. By theoretical modeling, using the wavelet transform modulus maxima (WTMM) method, we set up a correlative function between the scale parameter and geomagnetic source depth. Moreover, a scale normalization on the wavelet coefficients was introduced to enhancethe resolution for the separation of these sources in the scalograms, thereby determining their depth. After verifying the reliability of the proposed method on the modeling data, we have analysed the geomagnetic data in the Mekong delta. The results of this interpretation were consistency with previously published ones, furthermore, the level of resolution for this technique was quite coincidental with other methods using different geological data.

Is There an Emphatic μέν? A Consideration of the Particle's Development and its Function in Koine

Traditionally in Koine Greek grammar, the particle μέν has been described as having two functions: (1) correlating its sentence with forthcoming content, typically introduced by δέ, and (2) communicating emphasis or affirmation. Of these two functions, the first is readily apparent in Koine, but with regard to the second, communicating emphasis, it is not clearly evident that it can be posited for the particle. The propagation of ‘emphatic μέν’ seems to be the result of diachronic confusion. Those handful of instances of μέν in the New Testament that are sometimes labelled ‘emphatic’ can be more satisfactorily and consistently explained by an awareness of how the particle is used in the Koine period and a fuller understanding of its correlative function.

Extension Model for Multi-Risk Evaluation in Equipment R&D Project

In order to improve the successful probability of equipment research and development project, new risk evaluation model should be provided. This paper expanded the dimension of project risk, and ameliorated the extenics method to construct the risk evaluation model. In this method, used the plus correlative function value between risk state to risk grading interval to multiply the middle value of risk grading interval to calculate the risk degree of single risk index in multi-dimensional risk measure index, then integrated the geometrical mean and arithmetic mean of single risk index to count the synthetical risk degree of equipment research and development project. Which provide new technique for equipment project risk evaluation.

Research on Ceramic Title Automatic Packaging Corner Machine Based on Extension Theory

In order to improve automatic level of packaging for lump material,extension knowledge that contains matter-element,extension transformation,correlative function,rhombus thought model,was applied in conceptual design.Extension theory was used to depicted the requirements of product design that adapt ceramic title automatic packaging corner machine and then the optimal scheme was obtained through optimal degree evaluation method, which verified the validity of Extension Theory.

Multi-Scale Semantic Model for Unsupervised Object Segmentation

It is difficult to segment instances of object classes accurately unsupervised in images, because of the complexity of structures, inter-class differences, background interference and so on. A multi-scale semantic model method is proposed to overcome the disadvantages existing in most of the relative methods. This method uses generative model to deal with the objects obtained by multi-scale segmentations instead of whole image, and calculates kinds of visual features to mine the topic information of every object. In the segmentation process, a semantic correlative function of every segment block based on KL divergence is built up and minimized to select the object correct regions. Experimental results demonstrate the effectiveness of the proposed method.

Wear Characteristics of the Sub-Aperture Tools and Material Removal Rate in Precision Grinding with Loose Abrasives

This paper proposes a sub-aperture grinding tool for loose abrasive computer controlled surfacing, which is designed to perform epicyclic motion and rotate around its centre at a rapid rate, whilst the entire mechanism revolves around a secondary centre at a slower rate. In actual process, the wear of the tool could affect the material removal function, and make the process unstable, thus in fact, it is difficult to make a deterministic manufacturing. The focus of the present paper is on wearing characteristics of sub-aperture tools and the wear evenness as the main objectives. To make a further study, material removal function of the tool is firstly established through theoretically modelling, next, a correlative function with weighted factors is built, which is suitable for specifying the wearing degree of the tool. Finally, to discover the relationship between the material removal rate and the tool wearing characteristics, and to optimize the grinding process, analysis and experiments are then carried out on a K9 glass specimen by means of three kinds of tool materials, i.e., polyurethane pad, aluminum plate and pitch based on the proposed technique and model. The results indicated that the required high efficiency and precision could be achieved by choosing proper processes.