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Record W2117692617 · doi:10.1109/trustcom.2011.88

Dependable Context-Sensitive Services in Cyber Physical Systems

2011· article· en· W2117692617 on OpenAlexaff
Kaiyu Wan, Vangalur Alagar

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSmart Grid Security and Resilience
Canadian institutionsConcordia University
Fundersnot available
KeywordsDependabilityCyber-physical systemComputer scienceContext (archaeology)Computer securityReliability (semiconductor)TrustworthinessService (business)Resource (disambiguation)Software engineeringComputer networkOperating systemBusiness

Abstract

fetched live from OpenAlex

A Cyber-Physical System (CPS) is a network of hybrid systems, combinations of physical entities and software systems that control them. A CPS offers a set of diverse services under stringent real-time and physical resource constraints. In contrast with embedded systems, a CPS interacts directly with the physical world. Consequently, services in a CPS must be guaranteed with high dependability assurance. In literature the terms dependability and trustworthiness are used interchangeably to denote a compound property, emerging from safety, security, reliability, and availability features that govern the behavior of system components, their services, and their compositions. In this paper we introduce a service-oriented view of CPS and investigate accountability and dependability within context- awareness capabilities of CPS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.645
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.188
Teacher spread0.178 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2011
Admission routes1
Has abstractyes

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