scholarly journals An analysis of human-error factors using Fuzzy Integral-Measure model and natural languages.

1993 ◽  
Vol 29 (5) ◽  
pp. 289-297 ◽  
Author(s):  
Hiroki SADATOKU ◽  
Mitsuo NAGAMACHI ◽  
Yukihiro MATSUBARA ◽  
Takehisa ONISAWA
Keyword(s):  
Human Error ◽  
Fuzzy Integral ◽  
Natural Languages ◽  
Integral Measure ◽  
Measure Model

An Alternative Method for Identifying a Failed Engine in Twin-Engine Propeller Aircraft

2020 ◽  
Vol 10 (2) ◽  
pp. 103-111
Author(s):  
Andrey K. Babin ◽  
Andrew R. Dattel ◽  
Margaret F. Klemm
Keyword(s):  
Human Error ◽  
Flight Simulator ◽  
Traditional Group ◽  
Aircraft Accidents ◽  
Alternative Method ◽  
Indicator Group ◽  
Group A ◽  
The Dead ◽  
Engine Failure ◽  
And Performance

Abstract. Twin-engine propeller aircraft accidents occur due to mechanical reasons as well as human error, such as misidentifying a failed engine. This paper proposes a visual indicator as an alternative method to the dead leg–dead engine procedure to identify a failed engine. In total, 50 pilots without a multi-engine rating were randomly assigned to a traditional (dead leg–dead engine) or an alternative (visual indicator) group. Participants performed three takeoffs in a flight simulator with a simulated engine failure after rotation. Participants in the alternative group identified the failed engine faster than the traditional group. A visual indicator may improve pilot accuracy and performance during engine-out emergencies and is recommended as a possible alternative for twin-engine propeller aircraft.

Air Traffic Control: Human Error Type Interactions

2006 ◽  
Author(s):  
Larry Bailey ◽  
Julia Pounds ◽  
Carol Manning ◽  
David Schroeder
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
Error Type

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

EVALUASI ATAS PENGENDALIAN SISTEM INFORMASI AKUNTANSI PENJUALAN PADA PT PENGELOLA PUSAT PERDAGANGAN CARINGIN UNTUK MENGUKUR EFEKTIVITAS DAN EFISIENSI PENGELOLAAN PENDAPATAN LISTRIK

2018 ◽  
Vol 1 (2) ◽  
pp. 1-10
Author(s):  
Nano Suyatna
Keyword(s):  
Human Resources ◽  
Human Error ◽  
Accounting Information ◽  
Good Control ◽  
Accounting Information System ◽  
Accounting Information Systems ◽  
Payment Methods ◽  
Reasonable Cost ◽  
Financial Transactions ◽  
A Company

In an effort to improve electricity services to customers, there needs to be a balance between the supply of electricity and revenue. Payment methods made by the Perusahaan Listrik Negara (PLN) use Postpaid and Prepaid methods. Because services with postpaid methods better meet customer satisfaction, this method is chosen. Sales Accounting Information System is an information technology-based accounting application to support financial transactions in a company to run faster, more precisely and accurately at a reasonable cost. In its operation, it takes competent human resources to not be a source of problems (human error) and adequate infrastructure. To overcome the obstacles that will arise, whether triggered by the application or by the human resources themselves, it is necessary to control both aspects. Based on this research it shows that the application  of  Sales Accounting Information Systems and existing human resources is sufficiently supportive  and  reliable  in  supporting the creation of good control as it is proven that the level of acceptance of sales targets is realized effectively and efficiently.    

MONITORING OF OPERATIONAL LOGISTIC PROCESSES IN GENERAL CARGO WAREHOUSES USING PREDICTIVE ANALYSIS

2019 ◽  
Vol 13 (1) ◽  
pp. 27-36
Author(s):  
Andreas Neubert
Keyword(s):  
Data Mining ◽  
Human Error ◽  
Predictive Analysis ◽  
Data Mining Algorithm ◽  
It Infrastructure ◽  
Monitoring Procedure ◽  
Manual Recording ◽  
Mining Tool ◽  
General Cargo ◽  
Different Characteristics

Due to the different characteristics of the piece goods (e.g. size and weight), they are transported in general cargo warehouses by manually-operated industrial trucks such as forklifts and pallet trucks. Since manual activities are susceptible to possible human error, errors occur in logistical processes in general cargo warehouses. This leads to incorrect loading, stacking and damage to storage equipment and general cargo. It would be possible to reduce costs arising from errors in logistical processes if these errors could be remedied in advance. This paper presents a monitoring procedure for logistical processes in manually-operated general cargo warehouses. This is where predictive analysis is applied. Seven steps are introduced with a view to integrating predictive analysis into the IT infrastructure of general cargo warehouses. These steps are described in detail. The CRISP4BigData model, the SVM data mining algorithm, the data mining tool R, the programming language C++ for the scoring in general cargo warehouses represent the results of this paper. After having created the system and installed it in general cargo warehouses, initial results obtained with this method over a certain time span will be compared with results obtained without this method through manual recording over the same period.

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