scholarly journals BEHAVIOUR OF THE "ATHENIAN SCHIST" IN EXCAVATION BY AN OPEN FACE SHIELD BORING MACHINE. EXTENSION LINE TO PERISTERI OF THE METROPOLITAN RAILWAY OF ATHENS.

2004 ◽  
Vol 36 (4) ◽  
pp. 1790
Author(s):  
Π. Μαρίνος ◽  
Β. Μαρίνος ◽  
Γ. Στούμπος ◽  
M. Νόβακ ◽  
K. Κορκάρης ◽  
...  
Keyword(s):  
Rock Mass ◽  
Shear Zones ◽  
Poor Quality ◽  
Remedial Measures ◽  
Rock Masses ◽  
Tectonic Disturbance ◽  
The Face ◽  
Open Face

The excavation of the Metropolitan Railway of Athens is being opening mainly through the system of "Athenian Schist" which basically is constituted by a sequence of schists and metasandstones and presents high heterogeneity and tectonic disturbance due to faults and shear zones. The excavation is either mechanized or conventional. This paper is focused on the extension line to Peristeri, where an OFS (Open Face Shield) ΤΒΜ was used. This machine is effective in controlling any instabilities in fair quality rock mass, but not when poor quality rock masses are present where the stand-up time is limited. In such cases immediate support of the face or even improvement of the quality of the material is necessary. In this paper a specific classification of "Athenian Schist" is described in order to provide predictions for the behaviour of the rock masses under the conditions of an excavation with an OFS and, to access the risks but also the need of remedial measures

scholarly journals The engineering geological behaviour of disturbed and weatherd gneiss in slopes. The case of the "vertical axis" of Egnatia motorway, Komotini - Nymfea, Northern Greece.

2013 ◽  
Vol 47 (4) ◽  
pp. 1749
Author(s):  
V. Marinos ◽  
A. Goricki
Keyword(s):  
Rock Mass ◽  
Case Studies ◽  
Back Analysis ◽  
Vertical Axis ◽  
Shear Zones ◽  
Slope Instability ◽  
Rock Masses ◽  
Northern Greece ◽  
Tectonic Disturbance ◽  
Laboratory Test Results

Sound gneiss forms evidently very competent rock masses with minor problems in geotechnical works. However, poor rock masses and problematic behaviour can be encountered in engineering projects in a geological environment characterized by intensive and sequent tectonic disturbance, where, weathering may be strongly favoured. Case studies with slope instability problems are analysed from the Egnatia Motorway along the vertical axis from Komotini to Nymfea, in Northern Greece. The basic engineering geological consideration focuses on the weathering degree, the tectonic disturbance, the foliated structure and the presence of shear zones. In the paper the gneissic rock masses are categorized in a number of specific rock mass types according to key engineering geological characteristics that define the rock mass behaviour in slopes. Subsequently, the slope behaviour of each rock mass type is discussed. The geotechnical properties of such failure surfaces are very difficult to be estimated due to the heterogeneous nature of these planes and back analysis is the best method to obtain reliable parameters. Back analysis results from two case studies showed significant differences to the laboratory test results. Finally, the concepts of the appropriate support measures based on the mechanism of failure of two case studies are presented in the paper.

scholarly journals Electronic nose sensor development using ANN backpropagation for Lombok Agarwood classification

2020 ◽  
Vol 66 (No. 3) ◽  
pp. 97-103
Author(s):  
Farel Ahadyatulakbar Aditama ◽  
Lalu Zulfikri ◽  
Laili Mardiana ◽  
Tri Mulyaningsih ◽  
Nurul Qomariyah ◽  
...  
Keyword(s):  
Electronic Nose ◽  
Gas Sensors ◽  
Poor Quality ◽  
Backpropagation Algorithm ◽  
The Poor ◽  
Quality Classification ◽  
Electronic Nose System ◽  
System Prototype

The aim of the present study is the development of an electronic nose system prototype for the classification of Gyrinops versteegii agarwood. The prototype consists of three gas sensors, i.e., TGS822, TGS2620, and TGS2610. The data acquisition and quality classification of the nose system are controlled by the Artificial Neural Network backpropagation algorithm in the Arduino Mega2650 microcontroller module. The testing result shows that an electronic nose can distinguish the quality of Gyrinops versteegii agarwood. The good-quality agarwood has an output of [1 –1], while the poor-quality agarwood has an output of [–1 1].

Quality of data on intra-EU trade in goods

2019 ◽  
Vol 64 (6) ◽  
pp. 5-15
Author(s):  
Iwona Markowicz ◽  
Paweł Baran
Keyword(s):  
Poor Quality ◽  
Study Data ◽  
Quality Of Data ◽  
Member States ◽  
Eu Member States ◽  
Country Level ◽  
The Poor ◽  
Made In

Official statistics on trade in goods between EU member states are collect-ed on country-level and then aggregated by Eurostat. Methodology of data collecting differs slightly between member states(e.g. various statistical thresholds and coverage), including differences in exchange rates as well as undeclared or late-declared transac-tions, errors in classification of goods and other mistakes. It often involves incomparability of mirror data (nominally concerning the same transactions recorded in statistics of both dispatcher and receiver countries). A huge part of these differences can be explained with the variable quality of data resources in the Eurostat database. In the study data quality on intra-EU trade in goods for 2017 was compared between Poland and neigh-bouring EU countries, i.e.:Germany, Czech Republic, Slovakia, Lithuania,and other Baltic states–Latvia and Estonia. The additional aim was to indicate the directions hav-ing the greatestinfluence on the observed differences in mirror data. The results of the study indicate that the declarations made in Estonia affect the poor quality of data on trade in goods between the countries mentioned above to the greatest extent.

scholarly journals Quality of Educational Resources: A Comparative Evaluation of Schools That Joined PISA 2015 from Turkey and Singapore

2018 ◽  
Vol 11 (4) ◽  
pp. 132
Author(s):  
Metin Ozkan ◽  
Suphi Balci ◽  
Selman Kayan ◽  
Engin Is
Keyword(s):  
Logistic Regression ◽  
School Success ◽  
Poor Quality ◽  
Educational Material ◽  
Educational Resources ◽  
Chi Square ◽  
Physical Infrastructure ◽  
Accuracy Level

The objective of the study was to make a comparison among the two countries according to the level of sufficiency of educational resources and to determine the accuracy level at which variables related to educational resources can classify the schools on the basis of countries. Relational survey model was used. The sample group of the study was comprised of 186 schools from Turkey and 174 schools from Singapore for a total of 360 schools. Descriptive analyses and chi-square statistics were used to put forth whether there are differences with regard to the items. Logistic regression analysis was used to make an accurate classification of the schools according to their countries. Statistically significant differences between Turkish and Singapore schools were attained as a result of the chi-square analyses in all variables including lack of educational material, inadequate or poor quality educational material, lack of physical infrastructure and inadequate or poor quality physical infrastructure variables. A total of four variables included in the study explain about 60 % of the variance of Turkish and Singapore schools in having adequate educational resources. The equation obtained from analysis shows that lack of educational material is more important than lack of physical infrastructure. This alone puts forth that school success is related more to the quality of educational material than to physical inadequacies. As a result of the logistic regression with these variables, it was determined that the equation classifies 82% of the total number of 360 schools accurately. As a general conclusion of the study, it was observed with regard to its contributions to the model acquired via logistic regression.

scholarly journals Analysis of engineering geology conditions based on the quality of rock mass in the Tiga Dihaji Dam’s diversion tunnel, South Sumatera, Indonesia

2021 ◽  
Vol 325 ◽  
pp. 05001
Author(s):  
Zekrinaldi ◽  
Ferian Anggara ◽  
Hendy Setiawan
Keyword(s):  
Rock Mass ◽  
Geological Strength Index ◽  
Strength Index ◽  
Diversion Tunnel ◽  
Rock Mass Quality ◽  
Geological Conditions ◽  
Q System

This research has examined the rock mass quality case study in the Tiga Dihaji Dam’s diversion tunnel. Observations of geological conditions were carried out on the surface and subsurface of the study site and show that the study area consists of tuffaceous sandstone and carbonate interbeds. The method of this study is based on the classification of the Geological Strength Index (GSI), Rock Mass Rating (RMR), and the Q-system. The results indicate that tuffaceous sandstone has a GSI value of 15 - 87.5 (very poor - very good), RMR 48 - 82 (fair - very good), and Q-system 0.01 – 60.0 (exceptionally poor - very good). Meanwhile, carbonate interbeds have a low value, with a GSI value of 10.5 - 77.5 (very poor to very good), RMR 17.0 – 56.0 (very - poor fair), and Q-system 0 - 35.2 (exceptionally poor - good). Moreover, a correlation was made between rock mass quality for conditions in the study area. The correlation between GSI and RMR was obtained by the equation GSI = 2.2885RMR 82.567 (R2 = 0.6653), RMR and Q-system RMR = 2.0175ln(Q) + 63.061 (R2 = 0.4987), and GSI and Q-system GSI = 7.2119ln(Q) 54.578 (R2 = 0.8095).

scholarly journals DOAÇÃO DE ÓRGÃOS E TECIDOS PARA TRANSPLANTES: motivos de não autorização

2013 ◽  
Vol 20 (3) ◽  
pp. 93
Author(s):  
Flaviana de Souza Marques ◽  
Maria das Dores Perpétua Barbosa ◽  
Ivete Maria Ribeiro
Keyword(s):  
Organ Donation ◽  
Tissue Donation ◽  
Santa Catarina ◽  
Potential Donor ◽  
Organ And Tissue Donation ◽  
Calidad De Vida ◽  
The Face ◽  
Unrelated Donors

Trata-se de uma pesquisa documental, de abordagem qualitativa e quantitativa. Ela objetivou conhecer os motivos que levam o familiar a não autorizar a doação de órgãos. Esses registros foram feitos por uma equipe da Comissão Intra-Hospitalar de Doação de Órgãos e Tecidos para Transplantes de um hospital do sul de Santa Catarina. A coleta de dados foi realizada mediante um formulário com questões abertas e fechadas e registradas no próprio instrumento. Os sujeitos deste estudo foram os não doadores registrados nos formulários de notificação de potencial doador com coração parado e de morte encefálica, que fazem parte dos registros desta comissão. Os formulários analisados compreendem os anos de janeiro de 2011 até abril de 2013. De acordo com os registros da Comissão, a recusa familiar atingiu 135 casos, além de 21 casos específicos de que o paciente em vida não desejava ser doador. Portanto, a notificação incompleta impediu a classificação da recusa familiar neste estudo. Conhecer os fatores que dificultam a doação de órgãos poderá contribuir na dinâmica da equipe, uma vez que esta poderá atuar de maneira mais efetiva diante das negativas, elevando, desta forma, os índices de transplantes e melhorando a qua-lidade de vida dos indivíduos que estão à espera de um doador.Palavras-chave: Transplante de tecido. Transplante de órgãos. Triagem de doadores. Doadores não re-lacionados. ORGAN AND TISSUE DONATION FOR TRANSPLANTATION:reasons for non-authorizationAbstract: This is a documentary research, of a qualitative and quantitative approach. It aimed to identifythe reasons that lead family members not to allow organ donation. These records were made by an Intra-Hospital Commission on Organ and Tissue Donation for Transplantation team of a hospital in the south of Santa Catarina. The data collection was conducted using a form with open and closed questions and registered on the instrument itself. The subjects of this study were the non-donors registered in the notification forms of potential donor with cardiac arrest and brain death, which are part of the records of this committee. The forms analysed comprise the years from January 2011 to April 2013. According to the records of the Commission, refusal family reached 135 cases, and 21 specific cases that the patient in life didn’t want to be a donor. Therefore, underreporting prevented the classification of family refusal in this study. Knowing the factors that hinder organ donation can contribute to team dynamics, since it can act more effectively in the face of negatives, increasing, thus, the rates of transplantation and improving the quality of life of individuals who are waiting for a donor.Keywords: Tissue transplantation. Organ transplantation. Donor selection. Unrelated donors. DONACIÓN DE ÓRGANOS Y TEJIDOS PARA TRANSPLANTES:motivos de no autorizacionesResumen: Tratase de una investigación documental, de abordaje cualitativo y cuantitativo. Esta tiene como objetivo conocer los motivos que llevan al familiar a no autorizar la donación de órganos. Estos registrosfueron hechos por un equipo de la Comisión Intrahospitalaria de Donaciones de Órganos y Tejidos para Trasplantes de un hospital del sur de Santa Catarina. La colecta de datos fue realizada mediante preguntasabiertas, cerradas y registradas en el propio instrumento. Los sujetos de este estudio fueron los no donantes registrados en los formularios de notificación de donante potencial con corazón parado y de muerte encefálica, que hacen parte de los registros de esta comisión. Los formularios analizados comprendenlos años de enero de 2011 hasta abril de 2013. De acuerdo con los registros de la Comisión, la negativa familiar alcanzó el número de 135 casos, además de 21 casos específicos en los que el paciente en vida no deseaba ser donante. Por lo tanto, la notificación incompleta impidió la clasificación de la negativa familiar en este estudio. Conocer los factores que dificultan la donación de órganos podrá contribuir en la dinámica del equipo, una vez que esta podrá actuar de manera más efectiva delante de las negativas, elevando, de esta forma, los índices de trasplantes y mejorando la calidad de vida de los individuos que están a la espera de un donante.Palabras clave: Trasplante Transplante de tejidos. Trasplante Transplante de órganos. Selección de donante. Donante no emparentado93

scholarly journals Engineering geological investigations for evaluation of excavation method and stand-up time of the DK99-DK100 Jakarta – Bandung high-speed railway tunnel, Indonesia

2021 ◽  
Vol 325 ◽  
pp. 01005
Author(s):  
Linda Ali ◽  
I Gde Budi Indrawan ◽  
Hendarto Hendarto
Keyword(s):  
Rock Mass ◽  
High Speed ◽  
Poor Quality ◽  
Geological Strength Index ◽  
Rock Masses ◽  
Railway Tunnel ◽  
Tunnel Excavation ◽  
High Speed Railway ◽  
Geological Conditions ◽  
Subsurface Engineering

This paper presents the investigation of surface geology and subsurface engineering geology to analyze the excavation method and stand-up time of the DK99-DK100 Jakarta-Bandung high-speed railway Tunnel, Indonesia. Rock mass quality, tunnel excavation method, and stand-up time determined using Geological Strength Index (GSI), Basic Quality (BQ) systems, converted to Rock Mass Rating (RMR) and The Japan Society of Civil Engineering (JSCE) for comparison. The result shows that the study area consists of slightly to completely weathered andesite breccia and slightly weathered andesite lava. The rock masses at the tunnel elevation had very poor to poor quality and were associated with high weathering degrees. The recommended rock excavation method based on the GSI is digging. The recommended tunnel excavation method based on RMR is multiple drifts, top heading, and bench, while based on JSCE is bench cut method. The tunnel stand-up time is 30 minutes - 2 hours based on the RMR, while it is predicted to be unstable without support based on the BQ. The recommended design is expected to be applied effectively according to the geological conditions. It is expected to understand better the tunnel excavation method in poor rock masses, especially in Indonesia.

scholarly journals Klasifikasi Kualitas Mutu Daun Gambir Ladang Rakyat Menggunakan Metode Convolutional Neural Network

2021 ◽  
pp. 102-107
Author(s):  
Teddy Winanda ◽  
Yuhandri Yunus ◽  
H Hendrick
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Data Augmentation ◽  
Poor Quality ◽  
Leaf Quality ◽  
Manual Inspection ◽  
West Sumatra ◽  
Python Programming

Indonesia is one of the countries which have the best Gambier quality in the world. Those are a few areas in Indonesia which have best gambier quality such as Aceh, Riau, North Sumatera, Bengkulu, South Sumatera and West Sumatra. Kabupaten 50 Kota is one of the regencies in west Sumatra that supplies gambier in Indonesia. The gambier leaf selection is mostly done by manual inspection or conventional method. The leaf color, thickness and structure are the important parameters in selecting gambier leaf quality. Farmers usually classify the quality of gambier leaves into good and bad. Computer Vision can help farmers to classify gambier leaves automatically. To realize this proposed method, gambier leaves are collected to create a dataset for training and testing processes. The gambier image leaves is captured by using DLSR camera at Kabupaten 50 Koto manually. 60 images were collected in this research which separated into 30 images with good and 30 images with bad quality. Furthermore, the gambier leaves image is processed by using digital image processing and coded by using python programming language. Both TensorFlow and Keras were implemented as frameworks in this research. To get a faster processing time, Ubuntu 18.04 Linux is selected as an operating system. Convolutional Neural Network (CNN) is the basis of image classification and object detection. In this research, the miniVGGNet architecture was used to perform the model creation. A quantity of dataset images was increased by applying data augmentation methods. The result of image augmentation for good quality gambier produced 3000 images. The same method was applied to poor quality images, the same results were obtained as many as 3000 images, with a total of 6000 images. The classification of gambier leaves produced by the Convolutional Neural Network method using miniVGGNet architecture obtained an accuracy rate of 0.979 or 98%. This method can be used to classify the quality of Gambier leaves very well.

scholarly journals Diagnóstico da oferta hídrica do município de Russas (CE): Uma análise descritiva como subsídio à gestão sustentável dos recursos hídricos

2021 ◽  
Vol 14 (3) ◽  
pp. 1612
Author(s):  
Luzia Suerlange Araujo dos Santos Mendes ◽  
Tomaz Alexandre Da Silva Neto ◽  
Joyce Shantala Fernandes de Oliveira SouSA ◽  
Cláudio Ângelo Da Silva Neto ◽  
Itabaraci Nazareno Cavalcante ◽  
...  
Keyword(s):  
Water Supply ◽  
Sustainable Management ◽  
Descriptive Analysis ◽  
Poor Quality ◽  
The State ◽  
State Agencies ◽  
Water Shortages ◽  
Historical Series

A água é um dos recursos essenciais para sustentação da vida de todas as espécies do planeta. A oferta de água nas regiões semiáridas brasileira está intrinsecamente ligada aos fatores e características naturais da área: Instabilidades climáticas e as características litológicas.  O Estado do Ceará é marcado por intensos períodos de escassez hídrica, na qual a população fica vulnerável a uma má qualidade de vida e de saúde. O município de Russas situa-se porção nordeste do estado, onde o déficit hídrico está associado aos longos períodos de estiagem. A água subterrânea aparece como uma das principais fontes para suprir a carência hídrica. O objetivo deste trabalho foi realizar um diagnóstico hídrico da quantidade de água disponível do município no ano de 2019, usando banco de dados governamentais, disponíveis na internet, e informações de Órgãos do estado que gerenciam esses recursos. Foram analisados a quantidade de poços cadastrados e suas vazões, foi realizada a classificação dos reservatórios de superfície, com possível vazões; e a série histórica da pluviometria do município de Russas, no período de 1980 a 2018. O município apresenta um quadro hídrico quantitativo bastante delicado, com longos períodos de estiagem. Os reservatórios superficiais foram classificados de pequenos a muitos pequenos, onde o maior açude do município, apresenta vazão de 12 m3/h. Russas possui um total de 358 poços cadastrados, dos quais apenas 35% estão bombeando com uma vazão de total de 668,95m3/h. O município necessita de uma gestão mais sustentável na questão da oferta hídrica. Diagnosis of the water supply of the municipality of Russas – CE: A descriptive analysis as a subsidy to the sustainable management of water resources A B S T R A C TThe water supply in the Brazilian semi-arid regions is intrinsically linked to the natural characteristics of the area, like climate and lithological settings. The State of Ceará is marked by intense periods of water scarcity, in which the population is vulnerable to a poor quality of life and health. The municipality of Russas is located in the northeastern part of the state, where the hydric deficit is associated with long periods of drought. Groundwater appears as one of the main sources to supply water shortages. The objective of this work was to carry out a hydric diagnosis of the amount of water available in Russas in 2019, using government databases and information from state agencies that manage these resources. The number of registered wells and their flows were analyzed, the classification of surface reservoirs was carried out, with possible flows; and the historical series of rainfall in the municipality of Russas, from 1980 to 2018. The municipality has a very delicate quantitative hydric situation, with long periods of drought. The superficial reservoirs were classified from small to many small, where the largest reservoir in the municipality, has a flow of 12 m3/h. Russas has a total of 358 registered wells, of which only 35% are pumping with a total flow of 668.95 m3/h. The municipality needs more sustainable management in terms of hydric supply.Keywords: Hydric demand, Semiarid, Hydric infrastructure.  

scholarly journals Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders

Sensors ◽  
2020 ◽  
Vol 20 (23) ◽  
pp. 6992
Author(s):  
Rana Zia Ur Rehman ◽  
Yuhan Zhou ◽  
Silvia Del Din ◽  
Lisa Alcock ◽  
Clint Hansen ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Fall Risk ◽  
Clinical Decision Making ◽  
Principal Component ◽  
Clinical Decision ◽  
Poor Quality ◽  
Neurological Patients ◽  
Stride Duration

Falls are the leading cause of mortality, morbidity and poor quality of life in older adults with or without neurological conditions. Applying machine learning (ML) models to gait analysis outcomes offers the opportunity to identify individuals at risk of future falls. The aim of this study was to determine the effect of different data pre-processing methods on the performance of ML models to classify neurological patients who have fallen from those who have not for future fall risk assessment. Gait was assessed using wearables in clinic while walking 20 m at a self-selected comfortable pace in 349 (159 fallers, 190 non-fallers) neurological patients. Six different ML models were trained on data pre-processed with three techniques such as standardisation, principal component analysis (PCA) and path signature method. Fallers walked more slowly, with shorter strides and longer stride duration compared to non-fallers. Overall, model accuracy ranged between 48% and 98% with 43–99% sensitivity and 48–98% specificity. A random forest (RF) classifier trained on data pre-processed with the path signature method gave optimal classification accuracy of 98% with 99% sensitivity and 98% specificity. Data pre-processing directly influences the accuracy of ML models for the accurate classification of fallers. Using gait analysis with trained ML models can act as a tool for the proactive assessment of fall risk and support clinical decision-making.

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