Towards an Integration of Biochemical and Biophysical Models of Neuronal Information Processing: A Case Study in the Nigro-striatal System

1999 ◽  
Vol 10 (3-4) ◽  
Author(s):  
Rolf Kotier ◽  
Dirk Schirok
Keyword(s):  
Information Processing ◽  
Biophysical Models ◽  
Striatal System

Linking biophysical models and public preferences for ecosystem service assessments: a case study for the Southern Rocky Mountains

2015 ◽  
Vol 16 (7) ◽  
pp. 2005-2018 ◽  
Author(s):  
Kenneth J. Bagstad ◽  
James M. Reed ◽  
Darius J. Semmens ◽  
Benson C. Sherrouse ◽  
Austin Troy
Keyword(s):  
Rocky Mountains ◽  
Ecosystem Service ◽  
Public Preferences ◽  
Southern Rocky Mountains ◽  
Biophysical Models

scholarly journals Information processing for Similar Source code using LSH Algorithm

2021 ◽  
Vol 23 (07) ◽  
pp. 23-34
Author(s):  
Mrs. Vani Dave ◽  
◽  
Mr Sanjeev Kumar shukla ◽  
Keyword(s):  
Information Processing ◽  
Execution Time ◽  
Source Code ◽  
Locality Sensitive Hashing ◽  
Source File ◽  
C Language ◽  
Fast Search

In this study, we propose a method to quickly search for similar source files for a given source file as a method to examine the origin of reused code. By outputting not only the same contents but also similar contents, it corresponds to the source file that has been changed during reuse. In addition, locality-sensitive hashing is used to search from a large number of source files, enabling fast search. By this method, it is possible to know the origin of the reused code. A case study was conducted on a library that is being reused written in C language. Some of the changes were unique to the project, and some were no longer consistent with the source files. As a result, it was possible to detect the source files that were reused from among the 200 projects with 92% accuracy. In addition, when we measured the execution time of the search using 4 files, the search was completed within 1 second for each file.

Extending the Information-Processing View of Coordination in Public Sector Crisis Response

2012 ◽  
pp. 326-345
Author(s):  
Rafael A. Gonzalez ◽  
Alexander Verbraeck ◽  
Ajantha Dahanayake
Keyword(s):  
Information Processing ◽  
Public Sector ◽  
Communication Technology ◽  
Large Scale ◽  
Crisis Response ◽  
Public Agencies ◽  
The Public ◽  
Information And Communication ◽  
Emergent Coordination

Coordinating the response of multiple public agencies to a large-scale crisis is a challenge that has been studied predominantly according to the information-processing view. In this paper, the authors extend this view with the notion of emergence giving special attention to information and communication technology (ICT). The extended framework is applied in a case study of crisis response exercises in the public sector. The findings suggest that current practices concentrate on standards and hierarchy, but mutual adjustment and emergent coordination also occur and are susceptible to analysis and equally relevant to understand coordination practices. In addition, ICT can provide information processing capabilities needed for coordination but may also create information processing needs by increasing the volume of data and the interconnectedness of responders. Applying the extended framework improves the understanding of coordination and forms the basis for its future use in designing ICT to support coordination in crisis response and e-government.

Extending the Information-Processing View of Coordination in Public Sector Crisis Response

2010 ◽  
Vol 6 (4) ◽  
pp. 25-44 ◽  
Author(s):  
Rafael A. Gonzalez ◽  
Alexander Verbraeck ◽  
Ajantha Dahanayake
Keyword(s):  
Information Processing ◽  
Public Sector ◽  
Communication Technology ◽  
Large Scale ◽  
Crisis Response ◽  
Public Agencies ◽  
The Public ◽  
Information And Communication ◽  
Emergent Coordination

Coordinating the response of multiple public agencies to a large-scale crisis is a challenge that has been studied predominantly according to the information-processing view. In this paper, the authors extend this view with the notion of emergence giving special attention to information and communication technology (ICT). The extended framework is applied in a case study of crisis response exercises in the public sector. The findings suggest that current practices concentrate on standards and hierarchy, but mutual adjustment and emergent coordination also occur and are susceptible to analysis and equally relevant to understand coordination practices. In addition, ICT can provide information processing capabilities needed for coordination but may also create information processing needs by increasing the volume of data and the interconnectedness of responders. Applying the extended framework improves the understanding of coordination and forms the basis for its future use in designing ICT to support coordination in crisis response and e-government.

scholarly journals Information processing for end-of-life coordination: a multiple-case study

2020 ◽  
Vol 20 (4) ◽  
pp. 647-671
Author(s):  
Marc van den Berg ◽  
Hans Voordijk ◽  
Arjen Adriaanse
Keyword(s):  
Information Processing ◽  
End Of Life ◽  
Multiple Case Study ◽  
Coordination Mechanisms ◽  
Refined Theory ◽  
Life Strategies ◽  
Case Study Methodology ◽  
Content Type ◽  
Multiple Case

Purpose The purpose of this study is to explore how demolition contractors coordinate project activities for buildings at their end-of-life. The organizations are thereby conceptualized as information processing systems facing uncertainty. Design/methodology/approach A multiple-case study methodology was selected to gain in-depth insights from three projects with different end-of-life strategies: a faculty building (material recycling), a nursing home (component reuse) and a psychiatric hospital (element reuse). Using a theory elaboration approach, the authors sought to explain how and why demolition contractors process information for end-of-life coordination. Findings End-of-life strategies differ in the degree of building, workflow and environmental uncertainty posed to the demolition contractor. Whether or not a strategy is effective depends on the (mis)match between the specific levels of uncertainty and the adopted coordination mechanisms. Research limitations/implications The explanatory account on end-of-life coordination refines information processing theory for the context of (selective) demolition projects. Practical implications The detailed case descriptions and information processing perspective enable practitioners to select, implement and reflect on coordination mechanisms for demolition/deconstruction projects at hand. Originality/value Reflecting its dual conceptual-empirical and inductive-deductive focus, this study contributes with new opportunities to explain building end-of-life coordination with a refined theory.

Enabling integrated business planning through big data analytics: a case study on sales and operations planning

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alexander Schlegel ◽  
Hendrik Sebastian Birkel ◽  
Evi Hartmann
Keyword(s):  
Big Data ◽  
Information Processing ◽  
Data Analytics ◽  
Single Case ◽  
Big Data Analytics ◽  
Business Planning ◽  
Operations Planning ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this study is to investigate how big data analytics capabilities (BDAC) enable the implementation of integrated business planning (IBP) – the advanced form of sales and operations planning (S&OP) – by counteracting the increasing information processing requirements.Design/methodology/approachThe research model is grounded in the organizational information processing theory (OIPT). An embedded single case study on a multinational agrochemical company with multiple geographically distinguished sub-units of analysis was conducted. Data were collected in workshops, semistructured interviews as well as direct observations and enriched by secondary data from internal company sources as well as publicly available sources.FindingsThe results show the relevancy of establishing BDAC within an organization to apply IBP by providing empirical evidence of BDA solutions in S&OP. The study highlights how BDAC increase an organization's information processing capacity and consequently enable efficient and effective S&OP. Practical guidance toward the development of tangible, human and intangible BDAC in a particular sequence is given.Originality/valueThis study is the first theoretically grounded, empirical investigation of S&OP implementation journeys under consideration of the impact of BDAC.

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