A very high level programming language for data processing applications

1977 ◽  
Vol 20 (11) ◽  
pp. 832-840 ◽  
Author(s):  
Michael Hammer ◽  
W. Gerry Howe ◽  
Vincent J. Kruskal ◽  
Irving Wladawsky
Keyword(s):  
Data Processing ◽  
Programming Language ◽  
High Level ◽  
Very High

scholarly journals Analyzing User Experience of Website for the Learning of Programming Language

2020 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Derisma Derisma
Keyword(s):  
Data Processing ◽  
Programming Languages ◽  
Programming Language ◽  
User Experience ◽  
Measurement Method ◽  
Efficiency Score ◽  
Learning Effectiveness ◽  
Programming Framework ◽  
High Level ◽  
Experience Questionnaire

User experience is a term for the experience of users in having an easiness and efficiency in the interaction between humans and computers. CodeSaya is an easy, fun, and free place to learn about coding. There are some Programming Languages which can be learned. This research aimed to analyze the effectiveness of the codesaya.com website to learn the basics of programming by using a measurement method of the User Experience Questionnaire (UEQ). There are six examined scales, namely attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty. The testing results showed that those six scales positively affected the students' attentions to use the programming framework with 1.722 of attractiveness score, 1.456 of perspicuity score, 1.718 of efficiency score, 1.46 of dependability score, and 1.44 of stimulation score, these scores showed that the five scales were at a high level, while novelty was at a moderate level with 1.147 of the score. According to the whole data processing and analysis were done in this study, it can be concluded that CodeSaya Website can improve the learning effectiveness of Programming Languages.

English as a command language for robot control (HIROB)

Robotica ◽  
1983 ◽  
Vol 1 (1) ◽  
pp. 19-24 ◽  
Author(s):  
Peter Bock
Keyword(s):  
Programming Language ◽  
Management System ◽  
Robot Control ◽  
Lexical Analysis ◽  
Command Language ◽  
Low Level ◽  
High Level ◽  
User Friendly ◽  
Very High

SUMMARYTo facilitate expedient communication with robots, a very-high level hierarchical robot command language (HIROB) has been designed and implemented. HIROB uses the full and comprehensive syntax of the English imperative, allowing users to control a robot without the need of learning an esoteric programming language. A Parser/Scanner/Recognizer (PSR) performs a lexical analysis of a HIROB command stream, and identifies which portions of the command stream already exist as fully defined procedures in the files of the Procedure Management System (PMS). Those portions which do not exist must be defined using either existing HIROB procedures (English phrases), or by using the primitive commands of the low-level robot command language (LOROB). This process is fully recursive, so that HIROB procedures may consist of defined or undefined HIROB procedures, as well as LOROB commands, with the understanding that a high-level command cannot be executed until all of its hierarchical sub-commands have been fully defined. A user-friendly editor has been incorporated into the PMS to allow convenient creation, modification, and testing of HIROB commands.

التغير المناخي واثره في المقنن المائي لمحصول العنب في محافظة ديالى

2019 ◽  
Vol 1 (34) ◽  
pp. 391-422
Author(s):  
اشواق حسن حميد صالح
Keyword(s):  
Climate Change ◽  
Statistical Analysis ◽  
Wind Speed ◽  
Extreme Temperature ◽  
Solar Brightness ◽  
The Subject ◽  
Climate Station ◽  
The Times ◽  
High Level ◽  
Very High

Climate change and its impact on water resources is the problem of the times. Therefore, this study is concerned with the subject of climate change and its impact on the water ration of the grape harvest in Diyala Governorate. The study was based on the data of the Khanaqin climate station for the period 1973-2017, (1986-2017) due to lack of data at governorate level. The general trend of the elements of the climate and its effect on the water formula was extracted. The equation of change was extracted for the duration of the study. The statistical analysis was also used between the elements of the climate (actual brightness, normal temperature, micro and maximum degrees Celsius, wind speed m / s, relative humidity% The results of the statistical analysis confirm that the water ration for the study area is based mainly on the X7 evaporation / netting variable, which is affected by a set of independent variables X1 Solar Brightness X4 X5 Extreme Temperature Wind Speed ​​3X Minimal Temperature and Very High Level .

Relations between carbon removal rates, biofilm size and density of a novel anaerobic reactor: the inverse turbulent bed

2000 ◽  
Vol 41 (4-5) ◽  
pp. 253-260 ◽  
Author(s):  
P. Buffière ◽  
R. Moletta
Keyword(s):  
Removal Rate ◽  
Removal Rates ◽  
Carbon Removal ◽  
Biofilm Growth ◽  
Loading Rates ◽  
Biomass Activity ◽  
High Turbulence ◽  
The One ◽  
High Level ◽  
Very High

An anaerobic inverse turbulent bed, in which the biogas only ensures fluidisation of floating carrier particles, was investigated for carbon removal kinetics and for biofilm growth and detachment. The range of operation of the reactor was kept within 5 and 30 kgCOD· m−3· d−1, with Hydraulic Retention Times between 0.28 and 1 day. The carbon removal efficiency remained between 70 and 85%. Biofilm size were rather low (between 5 and 30 μm) while biofilm density reached very high values (over 80 kgVS· m−3). The biofilm size and density varied with increasing carbon removal rates with opposite trends; as biofilm size increases, its density decreases. On the one hand, biomass activity within the reactor was kept at a high level, (between 0.23 and 0.75 kgTOC· kgVS· d−1, i.e. between 0.6 and 1.85 kgCOD·kgVS · d−1).This result indicates that high turbulence and shear may favour growth of thin, dense and active biofilms. It is thus an interesting tool for biomass control. On the other hand, volatile solid detachment increases quasi linearly with carbon removal rate and the total amount of solid in the reactor levels off at high OLR. This means that detachment could be a limit of the process at higher organic loading rates.

A Tight Connection Among Wealth, Income, Sustainability, and Accounting in an Ultra-Simplified Setting

2017 ◽  
Author(s):  
Martin L. Weitzman
Keyword(s):  
Economic Theory ◽  
Quantitative Relationship ◽  
Theoretical Relationship ◽  
Level Of Abstraction ◽  
Tight Connection ◽  
Basic Concepts ◽  
High Level ◽  
Very High

In theory, and under some very strong assumptions, there exists a tight quantitative relationship among the following four fundamental economic concepts: (1) ‘wealth’; (2) ‘income’; (3) ‘sustainability’; (4) ‘accounting’. These four basic concepts are placed in quotation marks here because a necessary first step will be to carefully and rigorously define what exactly is meant by each. This chapter reviews what is known about this important fourfold quantitative relationship in an ultra-simplified setting. It identifies some basic applications of this simplified economic theory of wealth and income (and sustainability and accounting). While the contents of this chapter are expressed at a very high level of abstraction and require many restrictive assumptions, the fundamental fourfold relationship it sharply highlights should be useful for conceptualizing, at least in principle, what is ‘wealth’ and what is its theoretical relationship to ‘income’, ‘sustainability’, and ‘accounting’.

scholarly journals Evolution of the ALICE Software Framework for Run 3

2019 ◽  
Vol 214 ◽  
pp. 05010 ◽  
Author(s):  
Giulio Eulisse ◽  
Piotr Konopka ◽  
Mikolaj Krzewicki ◽  
Matthias Richter ◽  
David Rohr ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Model ◽  
Message Passing ◽  
Software Framework ◽  
Distributed Software ◽  
Central Collisions ◽  
Modular Software ◽  
Level Trigger ◽  
Data Throughput ◽  
High Level

ALICE is one of the four major LHC experiments at CERN. When the accelerator enters the Run 3 data-taking period, starting in 2021, ALICE expects almost 100 times more Pb-Pb central collisions than now, resulting in a large increase of data throughput. In order to cope with this new challenge, the collaboration had to extensively rethink the whole data processing chain, with a tighter integration between Online and Offline computing worlds. Such a system, code-named ALICE O2, is being developed in collaboration with the FAIR experiments at GSI. It is based on the ALFA framework which provides a generalized implementation of the ALICE High Level Trigger approach, designed around distributed software entities coordinating and communicating via message passing. We will highlight our efforts to integrate ALFA within the ALICE O2 environment. We analyze the challenges arising from the different running environments for production and development, and conclude on requirements for a flexible and modular software framework. In particular we will present the ALICE O2 Data Processing Layer which deals with ALICE specific requirements in terms of Data Model. The main goal is to reduce the complexity of development of algorithms and managing a distributed system, and by that leading to a significant simplification for the large majority of the ALICE users.

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