scholarly journals Leading industry standards

2021 ◽  
Vol 34 (9) ◽  
pp. 10-11
Author(s):  
David Westgarth
Keyword(s):  
Industry Standards ◽  
Leading Industry

Rancang Bangun Sistem Komunikasi Data Antara Mikrokontroller Atmega8 Dengan Arduino Pada Mesin Roaster Coffe Digital

2020 ◽  
Vol 3 (2) ◽  
pp. 103-113
Author(s):  
Rachmad Ikhsan ◽  
Effendi Effendi
Keyword(s):  
Temperature Sensor ◽  
Data Communication ◽  
Test Results ◽  
Industry Standards ◽  
Long Time ◽  
Roasting Time

Roasting coffee manually is widely applied by coffee producers. This process takes a very long time and is less efficient in terms of productivity for industry standards. This machine  is equipped with a thermocouple sensor as a temperature sensor that will measure the temperature in the roasting cylinder, then equipped with a timer as a reminder of roasting time that ranges from 15 minutes at a temperature of 200 degrees Celsius, this machine  is also equipped with android as a timer controller on the coffee roaster machine. This machine is also equipped with a microcontroller and Bluetooth as a media transmitter and data receiver. From the test results obtained data that Bluetooth can be used for data communication between the microcontroller and Android with a distance of 30 meters in the room, and 12 meters outside the room. If it exceeds that distance, then Bluetooth will not respond back

Features of phosphorus-calcium metabolism in children with neurogenic disorders of urination

2020 ◽  
Vol 24 (1) ◽  
pp. 45-50
Author(s):  
Yu. F. Lobanov ◽  
D. Y. Latyshev ◽  
Ya. F. Zverev ◽  
N. A. Tekuteva ◽  
N. M. Mikheeva
Keyword(s):  
Connective Tissue ◽  
Calcium Metabolism ◽  
Point System ◽  
Industry Standards ◽  
Muscular Dysfunction ◽  
Connective Tissue Dysplasia ◽  
Calcium And Phosphorus ◽  
Comparison Of The Results ◽  
Neurogenic Disorders

THE AIM: To study the characteristics of phosphorus-calcium metabolism in patients with neurogenic disorders of urination, taking into account the severity of the manifestations of connective tissue dysplasia. PATIENTS AND METHODS. The study included 90 children, including 60 children with neuro-muscular dysfunction of the bladder (NMDB) and 30 children with enuresis from the age of 5 to 15 years. The diagnosis was established based on a comprehensive examination and according to industry standards. Connective tissue dysplasia was diagnosed in children with the detection of 6 or more small external or visceral manifestations involving 3 or more organs from different systems. Assessment of the severity (severity) of connective tissue dysplasia was carried out according to the point system proposed by T.I. Kadurina et al. Each group was divided into subgroups depending on the severity of the manifestations of connective tissue dysplasia. The determination of the level of calcium and phosphorus in the blood and urine, as well as the calculation of the calcium-creatinine coefficient followed by a comparison of the results in these groups and subgroups. To assess the significance of differences, the Mann-Whitney test was calculated, p <0.05 was considered significant. RESULTS. he level of calcium and phosphorus in the urine was slightly higher in children with enuresis, especially in the morning portion of urine, where the concentration of calcium was 26% higher than in patients with NMDB. At the same time, the value of calcium /creatinine coefficient was significantly higher in the group of patients with enuresis and was 2 times higher than the normative indicators, which indicates the importance of hypercalciuria in the development of enuresis. СONCLUSION. According to the obtained data, the severity of calciuria, determined by the value of the calcium-creatinine coefficient, is significantly higher in patients with enuresis than with NMDB.

THE END OF BETTERMENT ACCOUNTING: A STUDY OF THE ECONOMIC, PROFESSIONAL, AND REGULATORY FACTORS THAT FOSTERED STANDARDS CONVERGENCE IN THE U.S. RAILROAD INDUSTRY, 1955–1983

2007 ◽  
Vol 34 (1) ◽  
pp. 25-55 ◽  
Author(s):  
Jan R. Heier ◽  
A. Lee Gurley
Keyword(s):  
21St Century ◽  
Accounting Standards ◽  
Interstate Commerce Commission ◽  
Early 21St Century ◽  
Railroad Industry ◽  
Tax Legislation ◽  
Industry Standards ◽  
Securities Industry ◽  
Arthur Andersen ◽  
The U.S

On January 26, 1983, the Interstate Commerce Commission (ICC) announced that it would require all railroads under its regulatory jurisdiction to change from Retirement-Replacement-Betterment (RRB) accounting, to a more theoretically sound depreciation accounting for matching revenues and expenses. The change was needed because RRB did not allow for the recapture of track investment, leaving the railroads with limited capital to replace aging track lines. Over the previous three decades, it had become painfully obvious to everyone that the industry's economic woes were the result of archaic accounting procedures that lacked harmony with the rest of American accounting standards, but the ICC was reluctant to change until new tax legislation in the early 1980s forced the issue. The decision was a culmination of a debate that started in the mid-1950s when Arthur Andersen, with the help of the securities industry, began an effort to harmonize railroad and industry standards using arguments that mirror those supporting the international accounting harmonization efforts of the early 21st century.

scholarly journals Modeling Recoveries of US Leading Banks Based on Publicly Disclosed Data

Mathematics ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 188
Author(s):  
Pawel Siarka
Keyword(s):  
Recovery Rate ◽  
Credit Card ◽  
Factor Model ◽  
Critical Element ◽  
Federal Reserve Bank ◽  
Rate Analysis ◽  
Industry Standards ◽  
Risk Management Process ◽  
Credit Portfolio ◽  
Asset Correlation

The credit risk management process is a critical element that allows financial institutions to withstand economic downturns. Unlike the methods regarding the probability of default, which have been deeply addressed after the financial crisis in 2008, recovery rate models still need further development. As there are no industry standards, leading banks are modeling recovery rates using internal models developed with different assumptions. Therefore, the outcomes are often incomparable and may lead to confusion. The author presents the concept of a unified recovery rate analysis for US banks. He uses data derived from FR Y-9C reports disclosed by the Federal Reserve Bank of Chicago. Based on the historical recoveries and credit portfolio book values, the author examines the distribution function of recoveries. The research refers to a credit card portfolio and covers nine leading US banks. The author leveraged Vasicek’s one-factor model with the asset correlation parameter and implemented it for recovery rate analysis. This experiment revealed that the estimated latent correlation ranges from 0.2% to 1.5% within the examined portfolios. They are large enough to impact the recovery rate volatility and cannot be treated as negligible. It was shown that the presented method could be applied under US Comprehensive Capital Analysis and Review exercise.

scholarly journals Calibrating the CreditRisk+ Model at Different Time Scales and in Presence of Temporal Autocorrelation †

Mathematics ◽  
2021 ◽  
Vol 9 (14) ◽  
pp. 1679
Author(s):  
Jacopo Giacomelli ◽  
Luca Passalacqua
Keyword(s):  
Time Series ◽  
Default Risk ◽  
Real Life ◽  
Statistical Error ◽  
Real Data ◽  
Sampling Period ◽  
Calibration Procedure ◽  
Industry Standards ◽  
Default Rate

The CreditRisk+ model is one of the industry standards for the valuation of default risk in credit loans portfolios. The calibration of CreditRisk+ requires, inter alia, the specification of the parameters describing the structure of dependence among default events. This work addresses the calibration of these parameters. In particular, we study the dependence of the calibration procedure on the sampling period of the default rate time series, that might be different from the time horizon onto which the model is used for forecasting, as it is often the case in real life applications. The case of autocorrelated time series and the role of the statistical error as a function of the time series period are also discussed. The findings of the proposed calibration technique are illustrated with the support of an application to real data.

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

Work begins at the gas industry standards board

Natural Gas ◽  
2007 ◽  
Vol 11 (9) ◽  
pp. 15-18
Author(s):  
Rae McQuade
Keyword(s):  
Gas Industry ◽  
Industry Standards
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