scholarly journals WATER DISCHARGE MEASURING INSTRUMENTS: AN UP TO DATE OVERVIEW

Author(s):  
Artem Iukhno ◽  
Sergei Buzmakov ◽  
Alisa Zorina

Technological progress could not but affect the sphere of hydrometric measurements. New instruments have been implemented to add to such traditional measuring instruments as mechanical current meters or to replace them. Over the past 20 years, the number of different types measuring instruments has increased dramatically. That is why the analytical review and classification of these devices are needed to help with making appropriate management decisions in the field of streamflow monitoring and surveys. The article presents the multivariable classification of measuring instruments, based on such factors as: morphology scaling (channel width and depth), measuring conditions (open, weed or ice-covered channel), logistical factor (mobile or stationary) and required accuracy. Characteristics of each type of measuring instruments were also considered and the limitations of their applicability were described. The results presented in the paper are expected to expand the horizons of approaches used for estimation of water discharge.

1991 ◽  
Vol 44 (7) ◽  
pp. 329-345 ◽  
Author(s):  
Gary T. Chapman ◽  
Leslie A. Yates

In recent years there has been extensive research on three-dimensional flow separation. There are two different approaches: the phenomenological approach and a mathematical approach using topology. These two approaches are reviewed briefly and the shortcomings of some of the past works are discussed. A comprehensive approach applicable to incompressible and compressible steady-state flows as well as incompressible unsteady flow is then presented. The approach is similar to earlier topological approaches to separation but is more complete and in some cases adds more emphasis to certain points than in the past. To assist in the classification of various types of flow, nomenclature is introduced to describe the skin-friction portraits on the surface. This method of classification is then demonstrated on several categories of flow to illustrate particular points as well as the diversity of flow separation. The categories include attached, two-dimensional separation and three different types of simple, three-dimensional primary separation, secondary separation, and compound separation. Hypothetical experiments are utilized to illustrate the topological terminology and its role in characterizing these flows. These hypothetical experiments use colored oil injected onto the surface at singular points in the skin-friction portrait. Actual flow-visualization information, if available, is used to corroborate the hypothetical examples.


2013 ◽  
Vol 16 (1) ◽  
pp. 123-142
Author(s):  
Joanna Romaniuk ◽  
Anna Sznajderska

Over the past 23 years the financial sectors in both Poland and the Czech Republic have changed beyond recognition. The process of transformation was a tough and challenging task in both countries. There were significant differences in the initial conditions, as well as approaches to the transformation process, in Poland and the Czech Republic. It seems that according to the classification of Knell and Srholec (2005), the two countries represent different types of capitalism. In this article we try to demonstrate that the organization and development level of the financial systems in these seemingly similar countries are different as well. The primary objective of the study is to compare the path of development and today’s performance of the financial systems in Poland and in the Czech Republic.


1979 ◽  
Vol 8 (2-3) ◽  
pp. 337-359 ◽  
Author(s):  
Roy F. Ellen

ABSTRACTThe ethnographic analysis of categories is still largely based on assumptions of cultural uniformity, although, during the past decade, the significance of variation has become increasingly evident as attempts have been made to measure it. Delineation and measurement are themselves complex tasks, however. In a single body of data there may be variation according to many criteria which are often cross-cutting and reinforce each other irregularly. These issues are discussed in this paper in relation to different types and contexts of variation evident in animal classifications of the Nuaulu of eastern Indonesia. Yet, the kinds of assumptions made in formal studies of individual variation are as problematic as those concerning cultural uniformity. It is important to appreciate that the techniques and representations employed to describe classifications and their variation are often inadequate, concealing those things that are operationally of most significance and reifying ‘classifications’ which do not always exist in practice. The products of classifying behaviour inevitably reflect the immediate social conditions of the situations in which they are used. (Analysis of categories, cultural variability, ethnozoology, social context; Nuaulu of eastern Indonesia.)


Author(s):  
Roshidi Din ◽  
Osman Ghazali ◽  
Alaa Jabbar Qasim

This paper reviews the method of classification of the types of images used in data concealment based on the perspective of the researcher’s efforts in the past decade. Therefore, all papers were analyzed and classified according to time periods. The main objective of the study is to infer the best types of images that researchers have discussed and used, several reasons will be shown in this study, which started from 2006 to 2017, through this paper the pros and the cons in the use of favourite types in the concealment of data through previous studies.


1906 ◽  
Vol 12 ◽  
pp. 259-276 ◽  
Author(s):  
Ramsay Traquair

The troubled state of the Peloponnesus during the Middle Ages left its mark on no buildings more evidently than on its castles. Each successive owner obtained his title at the cost of some part of the building, and his first thought on gaining possession was either to strengthen the fortress he had just captured, or to dismantle it utterly and leave behind him a useless pile of ruins. Military architecture too, is little influenced by respect for the past and the more important castles must have been frequently modernised, so but little is left of their original structure. The lack of those ornamental details which are the main clue to the age of more elaborate buildings renders a classification of the different types of plan and of masonry of some importance; where mouldings or other details are found their evidence is usually conclusive, but in their absence we must be guided by the form of the plan and by the masonry.


Author(s):  
Chanjong Im ◽  
Yongho Kim ◽  
Thomas Mandl

AbstractPrinting technology has evolved through the past centuries due to technological progress. Within Digital Humanities, images are playing a more prominent role in research. For mass analysis of digitized historical images, bias can be introduced in various ways. One of them is the printing technology originally used. The classification of images to their printing technology e.g. woodcut, copper engraving, or lithography requires highly skilled experts. We have developed a deep learning classification system that achieves very good results. This paper explains the challenges of digitized collections for this task. To overcome them and to achieve good performance, shallow networks and appropriate sampling strategies needed to be combined. We also show how class activation maps (CAM) can be used to analyze the results.


The digital mammogram has developed as the standard screening approach for breast cancer detection and further defects in human breast tissue problem. Early detection is an efficient manner to decrease mortality in worldwide. In the past decades, several researchers implemented many methods to consistently identify the breast cancer by mammogram images. Those methods were employed to produce systems to support radiologists and physicians attain more accurate diagnosis. Accurate segmentation and classification of various tumors in the mammography plays a complex role in the early diagnosis of breast cancer. This paper defines the research on Breast Cancer Detection (BCD) methods which includes two major steps such as segmentation and classification. This research presented the different types of BCD methods with their main contributions. Additionally, it assists the researchers in the area of breast cancer detection by providing the basic knowledge and common understanding of the newest BCD methods.


2021 ◽  
Author(s):  
Ciprian - Alin Farcas

Bridges have evolved over time from the simplest forms made from materials found in nature – wood and stone - to the complex shapes of today, made of concrete, steel, steel-concrete, and composite materials. If in the past the large dimensions of an obstacle impeded building a bridge, today this problem can be solved by choosing suitable materials, an advantageous structural system, and an erection method that favors the chosen solutions. The composite superstructures made of steel-concrete have started to be used more often in the construction of bridges due to their advantages. The scope of this paper is to analyze the evolution of road bridges with steel-concrete composite superstructure. There can be distinguished mainly 4 stages in the evolution of these types of structures. In the first two stages during 1850-1925 the connection between concrete and steel was achieved by the adhesion between the contact surfaces of the two materials. Starting with 1932 (stage III), a connection was realized that takes over the forces of friction that develop at the contact between the two materials. These connecting elements took different forms: loops the reinforcement, U, L, or ⊥ metal parts, shear stud connectors, and more recently composite dowels. The advantages of different types of connectors have been highlighted by various calculation methods, practical applications, and high productivity. Nowadays the construction of an impressive bridge has become a source of pride at an international level, a way to demonstrate the technological progress in the field. But what does the future hold in the field of composite structures made of steel-concrete?


1965 ◽  
Vol 111 (475) ◽  
pp. 489-495 ◽  
Author(s):  
John D. Pollitt

Depression is the commonest of mental illnesses and fortunately it has a better outcome with treatment than any other psychiatric condition. It shows itself in a variety of guises, and as there is no universal formula for treating the different types, a classification is essential. During the past ten years the arrival of the tranquillizers and particularly antidepressants has revolutionized our view of depressive illness, yet we are still using terms which are purely descriptive, determined by administrative needs long forgotten, or loosely related to aetiology about which we still know little. The time has come to link the classification of depression with rational treatment, but before offering a scheme to do this, a brief consideration of the inadequacies of existing terminology may help to explain the need for a new scheme.


2019 ◽  
Vol 8 (4) ◽  
pp. 11788-11795

The rapid growth of mobile messaging apps has led to an important process to manage social networks based on the localization of internet traffic in different types of use of in-app services. In the past researches, Improved Multi-Context Trajectory Embedding Model with Service Usage Classification Method (IMC-TEM-SUCM) has been proposed to recommend the locations based on the trajectory data of individuals and their service usage types. In this model, the traffic features were classified by using Random Forest (RF) classifier whereas the outlier was detected by clustering Hidden Markov Model (HMM). However, the RF was supervised classifier which requires knowledge about the class label of data. Also, a huge amount of data was needed to train a clustering HMM. Therefore, in this article, an IMC-TEM with Enhanced SUCM (IMC-TEM-ESUCM) is proposed in which an unsupervised classifier, namely K-means clustering is proposed to classify the service usage types. Initially, traffic flows are split into different sessions and dialogs using a combined hierarchical clustering and thresholding heuristics technique. Then, the traffic features are extracted based on the packet length and time delay. After that, K-means classification is proposed to classify the service usage types and also DBSCAN is proposed to detect the outliers. Finally, the experimental results on two different datasets show that the proposed model achieves higher performance than the existing model in terms of precision, recall, f-measure and accuracy.


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