scholarly journals Classification of indicators of poor quality display of the plantar surface of bare feet of living persons

2021 ◽  
Vol 3 ◽  
pp. 54-59
Author(s):  
V.I. Balko ◽  
Keyword(s):  
Information System ◽  
Poor Quality ◽  
Chronological Order ◽  
Plantar Surface ◽  
Competent Person ◽  
Soles Of The Feet ◽  
Near Future ◽  
Practical Recommendations

12 indicators of poor quality of papillary prints of the plantar surface of bare feet were revealed during traditional fingerprinting of living persons. Indicators are classified and arranged in chronological order as the total quantitative indicator decreases when studying 700 special fingerprint cards over two periods of time. It was concluded that the bulk of the indicators of poor quality of the plantar surface prints is associated with such indicators as prints from wet and dirty soles of the feet, repainted and smeared prints. A specific indicator only for the sole of the feet - “smeared print of the upper part of the big toe” was identified. These indicators are divided according to three more indicators for poor quality of footprints. It has been established that the quality of footprints depends on the quality of the technique and technology used to obtain them and the appropriate control by a competent person. This makes it possible to optimize measures to improve the quality of a special fingerprint card for displaying papillary prints of the plantar surface of the bare feet of living persons for comparative studies, especially when it is impossible to identify a person by the fingers and palms of the hands, as well as in connection with the use of biometric plantar terminals in the near future. Theoretical and practical recommendations for taking prints of the papillary sole of the feet are given in the development of the author’s previous works. This will affect the encoding of the image in the automatic fingerprint information system and its search characteristics, and most importantly, the final result for the prompt and objective identification of the person.

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 Strategic Information System Planning in Healthcare Organizations

2015 ◽  
Vol 27 (2) ◽  
pp. 1-31 ◽  
Author(s):  
Theresa Lee ◽  
Amir Hossein Ghapanchi ◽  
Amir Talaei-Khoei ◽  
Pradeep Ray
Keyword(s):  
Systematic Review ◽  
Information System ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Strategic Information ◽  
System Planning ◽  
Strategic Information System ◽  
Goals And Objectives

The healthcare industry is a critical and growing part of economies worldwide. To provide better quality of care, and value for money, billions of dollars are being spent on bettering information systems in healthcare organizations. Strategic Information System Planning (SISP) is instrumental in making informed decisions to achieve the health organizations' goals and objectives. This paper undertakes a systematic review to gain insight into existing studies on SISP in healthcare organizations. Our systematic review of papers on SISP from 1985 to 2011 examines the background and trend of research into SISP in the healthcare industry, classification of topics in SISP, as well as sets of tools and guidelines to aid practitioners and the research community alike.

scholarly journals Incompleteness and inaccuracies in Certificates of Live Birth in a city in Southern Brazil

2021 ◽  
Vol 24 (suppl 1) ◽  
Author(s):  
Daiane dos Santos ◽  
Leo Lynce Valle de Lacerda ◽  
Luciane Peter Grillo ◽  
Tatiana Mezadri
Keyword(s):  
Information System ◽  
Birth Weight ◽  
Live Birth ◽  
Maternal Age ◽  
Southern Brazil ◽  
Pregnancy And Childbirth ◽  
Using Data ◽  
Type Of Delivery

ABSTRACT: Objective: To evaluate inadequacies in Certificates of Live Birth in a city in Southern Brazil between 2011 and 2015. Methods: This is a retrospective quantitative study based on Certificates of Live Birth of mothers living in Itapema, Santa Catarina, issued from 2011 to 2015, using data from the Live Birth Information System. Results: Among 3,537 certificates, we found no mistakes in the variables newborn's sex, birth weight, maternal age, type of pregnancy, and type of delivery. Concerning incompleteness, the variable “cesarean section was performed before the start of labor” had a mean rate considered poor, while occupation was classified as good (above 6%), neighborhood as excellent (between 0.8 and 4.5%), and induction also as excellent (0.7 to 2.9%). Inaccuracies were greater in the ethnicity (up to 0.7%) and neighborhood (up to 1.3%) variables, both considered excellent. In the comparison between sections, the pregnancy and childbirth section was the most incomplete. Conclusion: Data completeness in Certificates of Live Birth was considered excellent for most variables, and the classification of inaccuracies was excellent for all variables, evidencing the quality of the information found in these certificates.

scholarly journals Russian population reproduction: challenges, trends, factors and possible results by 2024

POPULATION ◽  
2020 ◽  
Vol 23 (1) ◽  
pp. 53-66
Author(s):  
Oleg L. Rybakovsky
Keyword(s):  
Causes Of Death ◽  
Poor Quality ◽  
Reproductive Age ◽  
Migration Routes ◽  
Current Trends ◽  
Quality Of Food ◽  
And Migration ◽  
Near Future ◽  
Circulatory Diseases

The article assesses the probability of fulfilling the tasks set by the President of the Russian Federation in the May 2018 Decree in the field of population reproduction. Each of the tasks outlines the current situation, current trends and the most likely results. Factors that contribute to or counteract solutions to the designated problems are identified. In particular, increase or even preservation of the number of births will be hindered by constant reduction since 2015 in the number of women of active reproductive age (25-39 years), who account for 4/5 of all births [1]. Their number will reduce from 17.9 million in 2015 to 15.0 million in 2024, and up to 12.0 million in 2030 [1]. Reduction in deaths from circulatory diseases and neoplasm will be prevented by: the tendency of population ageing; persistence and impossibility of rapid eradicating bad habits, such as smoking, regular excessive drinking; poor quality of food and alcohol, etc. In addition, in the future, with increase in the life expectancy (LE) in Russia, those, who have been cured of diseases related to other major causes of death, eventually will start dying from circulatory diseases or oncology. It is these diseases that are the leading causes of death in countries with high LE. There are made the following conclusions: it will be actually impossible to achieve the goal of “increasing the population of the country” (set in the Decree) only by reproductive means in the near future in Russia. To solve Russia's general demographic problems (ensuring a positive overall population growth; optimizing the placement of the population on its territory not only in the economic, but also in the geopolitical interests of the state; redemption of the structural demographic wave volatility; etc.), it is necessary to follow coordinated reproduction and migration routes.

scholarly journals Assessment of the Quality of Diesel Fuel from Some Selected Filling Stations in Tarkwa, Ghana

2020 ◽  
Vol 4 (4) ◽  
pp. 1-6
Author(s):  
Broni-Bediako E
Keyword(s):  
Diesel Fuel ◽  
Poor Quality ◽  
Sulphur Content ◽  
Fuel Quality ◽  
X Ray ◽  
American Standard ◽  
The Government ◽  
Fluorescence Spectrometer ◽  
Near Future

Automobile fuel quality is becoming a subject of concern across the world and particularly in Ghana because of potential problems associated with poor quality fuel. Poor quality fuel leads to health and environmental problems, reduced performance and lifetime of engine and other components of an automobile. This paper presents the assessment of the quality of diesel fuel from selected filling stations in Tarkwa. Fifteen fuel samples were collected from Reseller Outlets (Gao Gao), Local Oil Marketing Companies (LOMCs) and International Oil Marketing Companies (IOMCs). Density, flashpoint and sulphur content of the sampled fuels were examined in the laboratory using hydrometer, Cleveland closed cup flash point tester and energy dispersive x-ray fluorescence spectrometer respectively. All the tests were conducted based on the American Standard for Testing Materials (ASTM) and the results were compared with the requirements of Ghana Standards Authority (GSA). The results from the tests indicated variations in the fuel properties among all the oil marketing companies. All the samples tested were found to be within the required density limit set by GSA. Also, about 81% of the fuels had the flashpoint within the required limit. In general, all the diesel samples had high sulphur content above the GSA limit of 0.005 wt% (50 ppm). It is recommended that; the Government of Ghana should ensure that all oil marketing companies operate within the acceptable sulphur content limit in Ghana and should also consider reducing the acceptable sulphur content to meet international standard in the near future.

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 Strategic Information System Planning in Healthcare Organizations

2018 ◽  
pp. 1048-1077
Author(s):  
Theresa Lee ◽  
Amir Hossein Ghapanchi ◽  
Amir Talaei-Khoei ◽  
Pradeep Ray
Keyword(s):  
Systematic Review ◽  
Information System ◽  
Healthcare Industry ◽  
Healthcare Organizations ◽  
Strategic Information ◽  
System Planning ◽  
Strategic Information System ◽  
Goals And Objectives

The healthcare industry is a critical and growing part of economies worldwide. To provide better quality of care, and value for money, billions of dollars are being spent on bettering information systems in healthcare organizations. Strategic Information System Planning (SISP) is instrumental in making informed decisions to achieve the health organizations' goals and objectives. This paper undertakes a systematic review to gain insight into existing studies on SISP in healthcare organizations. Our systematic review of papers on SISP from 1985 to 2011 examines the background and trend of research into SISP in the healthcare industry, classification of topics in SISP, as well as sets of tools and guidelines to aid practitioners and the research community alike.

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.  

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