scholarly journals Revitalisation in control of business

2008 ◽  
Vol 53 (No. 12) ◽  
pp. 531-538 ◽  
Author(s):  
J. Hron
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Procedural Knowledge ◽  
Control Process ◽  
Reference Value ◽  
Self Control ◽  
Information Architecture ◽  
Logical Function ◽  
Flip Flop ◽  
Control Subsystem

This paper deals with the design of information architecture for the revitalisation of business processes. The proposal of a control system for a formalised decision-making process of revitalisation is in accordance with this information architecture. The entire methodology proposed relates to the application of consumer’s value renewal of the product. Experts’ standpoints are utilised in the procedural knowledge base which includes the information about the time sequence of starting and leaving some developmental activities. The product revitalisation control subsystem originates from this procedural knowledge base. The control subsystem converts this information into a binary format to enable detection of whether a consumer’s quality lies below/above the reference value and at that the procedural knowledge base also receives this reference value. The control process is based on a synthesis of sequential (logical) function, the self-control mechanism of experts’ decision-making (for the product value resumption regulation) is achieved via a reset-set (RS) flip-flop.

EXPERT MANAGEMENT SYSTEMS OF AGROTECHNOLOGIES IN CLOUD INFORMATION TECHNOLOGY

1970 ◽  
pp. 12-17
Author(s):  
I. М. Mikhaylenko ◽  
V. N. Timoshin
Keyword(s):  
Decision Making ◽  
Pattern Recognition ◽  
Information System ◽  
Knowledge Base ◽  
Information Technologies ◽  
Agricultural Sector ◽  
Perennial Grasses ◽  
Management Decision ◽  
Agricultural Technologies ◽  
Automation Systems

The transition to "intellectual" agriculture is the main vector of modernization of the agricultural sector of the economy. It is based on integrated automation and robotization of production, the use of automated decision-making systems. This is inevitably accompanied by a significant increase in data flow from sensors, monitoring systems, meteorological stations, drones, satellites and other external systems. Farm management has the opportunity to use various online applications for accurate recommendations and making various kinds of management decisions. In this regard, the most effective use of cloud information technologies, allowing implementing the most complex information and technical level of automation systems for management of agricultural technologies. The purpose of this work is to test the approach to creating expert management decision support systems (DSS) through the knowledge base (KB), formed in the cloud information system. For this, we consider an example of constructing a DSS for choosing the optimal date for preparing forage from perennial grasses. A complete theoretical and algorithmic database of the analytical DSS implemented in the data processing center of the cloud information system is given. On its basis, a KB is formed for a variety of different decision-making conditions. This knowledge base is transmitted to the local DSS. To make decisions about the optimal dates for the preparation of the local DSS, two variants of algorithms are used. The first option is based on management models, and the second uses the pattern recognition method. The approbation of the algorithms was carried out according to the BZ from 50 cases. According to the results of testing, the method of pattern recognition proved to be more accurate, which provides a more flexible adjustment of the situation on the local DSS to a similar situation in the KB. The considered technique can be extended to other crops.

A multilevel analysis of the influence of bullying participant roles upon the trajectories of adolescents’ social and emotional competencies

2021 ◽  
pp. 014303432198897
Author(s):  
Vítor Alexandre Coelho ◽  
Marta Marchante
Keyword(s):  
Decision Making ◽  
Self Control ◽  
Social Emotional ◽  
Emotional Competencies ◽  
Social And Emotional ◽  
Self Reports ◽  
One Year ◽  
Competencies Development ◽  
Bullying Participant Roles ◽  
Social And Emotional Competencies

This study analyzed how social and emotional competencies evolved according to adolescents’ involvement in bullying, and whether gender influenced social and emotional competencies’ development. Five-hundred-fourteen students ( Mage = 12.71; SD = 1.09) were assessed through self-reports at three different time points for one year. Results showed that students involved in the three analyzed bullying roles displayed a more negative trajectory in all but one social emotional competence analyzed compared to students not involved in bullying. The exception was students who bullied others for responsible decision making. Additionally, gender differences were only found in self-esteem trajectories; boys displayed a more pronounced decrease. In larger classes, students displayed higher levels of self-control, social awareness and responsible decision-making. These results showed that reduced social and emotional competencies were a consequence of bullying involvement for every bullying role analyzed.

Social Metadata and Public-Contributed Contents in Memory Institutions: “Crowd Voice” Versus “Authenticated Heritage”?

2016 ◽  
Vol 45 (3) ◽  
pp. 122-133 ◽  
Author(s):  
Chern Li Liew
Keyword(s):  
Decision Making ◽  
Cultural Heritage ◽  
Knowledge Base ◽  
Participatory Culture ◽  
Collective Memories ◽  
Digital Cultural Heritage ◽  
The Social ◽  
Social Technologies ◽  
Determining Factor ◽  
Shed Light

AbstractSocial technologies have led to increasing participatory activities and institutions are interested in the potential of using these for outreach and engagement. Through offering new spaces and tools that allow users to consume and also to contribute content, institutions are expanding their traditional services which could redefine their role and relevance in the digital cultural heritage landscape. This study investigates the decision-making and practices underpinning current handling of social metadata and public-contributed contents (PCC). The focus is on examining the motivations for soliciting contributions, if and how these are moderated and managed, if they are integrated into the institutional data and knowledge base, and the extent to which public stakeholders moderate. The study also involves an investigation of whether, and how, memory institutions consider diversity and inclusiveness in soliciting participation and contributions, and the values placed on PCC, as compared to institutional resources. The aim of this study is to shed light on these by surveying libraries, archives, museums, and other institutions.How institutions deal with the social metadata and PCC they gather, and what they do with the contributions, could be a key determining factor of the success of their participatory practice as part of their larger effort to capture and preserve collective memories. This survey shows that the profession still has a way to go towards these goals. There is little evidence that demonstrates integration of a participatory culture and activities into the strategic directions and documentary practices of institutions.

Inhibitory Control of Information in Memory Across Domains

2021 ◽  
Vol 30 (5) ◽  
pp. 444-453
Author(s):  
M. Teresa Bajo ◽  
Carlos J. Gómez-Ariza ◽  
Alejandra Marful
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Side Effects ◽  
Inhibitory Control ◽  
Language Production ◽  
Personal Information ◽  
Control Process ◽  
Control Mechanisms ◽  
Types Of Information ◽  
Behavioral Signature

Knowledge in memory is vast and not always relevant to the task at hand. Recent views suggest that the human cognitive system has evolved so that it includes goal-driven control mechanisms to regulate the level of activation of specific pieces of knowledge and make distracting or unwanted information in memory less accessible. This operation is primarily directed to facilitate the use of task-relevant knowledge. However, these control processes may also have side effects on performance in a variety of situations when the task at hand partly relies on access to suppressed information. In this article, we show that various types of information to be used in a variety of different contexts (problem solving, decision making based on personal information, language production) may be the target of inhibitory control. We also show that the control process may leave a behavioral signature if suppressed information turns out to be relevant shortly after being suppressed.

scholarly journals Use of Linked Data principles for semantic management of scanned documents

2016 ◽  
Vol 28 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Luciane Lena Pessanha Monteiro ◽  
Mark Douglas de Azevedo Jacyntho
Keyword(s):  
Decision Making ◽  
Knowledge Base ◽  
Web Application ◽  
Linked Data ◽  
World Wide ◽  
Decision Making Process ◽  
Whole Process ◽  
The World ◽  
Scanned Documents ◽  
The Web

The study addresses the use of the Semantic Web and Linked Data principles proposed by the World Wide Web Consortium for the development of Web application for semantic management of scanned documents. The main goal is to record scanned documents describing them in a way the machine is able to understand and process them, filtering content and assisting us in searching for such documents when a decision-making process is in course. To this end, machine-understandable metadata, created through the use of reference Linked Data ontologies, are associated to documents, creating a knowledge base. To further enrich the process, (semi)automatic mashup of these metadata with data from the new Web of Linked Data is carried out, considerably increasing the scope of the knowledge base and enabling to extract new data related to the content of stored documents from the Web and combine them, without the user making any effort or perceiving the complexity of the whole process.

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