A Methodology to Capture Fine-Grained Internal Visibility During Multisession Silicon Debug

Kumar, Binod; Adhaduk, Jay; Basu, Kanad; Fujita, Masahiro; Singh, Virendra

doi:10.1109/tvlsi.2019.2958989

“…Designing an improved algorithm of data mining can further improve the efficiency of existing data mining algorithms and improve the results of data mining.The legitimacy of characterization results straightforwardly influences the exactness of data mining results [8]. The development strategies for classifiers mostly incorporate the accompanying: choice tree grouping strategy, numerical measurements technique, man-made consciousness technique, neural organization strategy, and so on as per different examination headings of order calculation, it tends to be partitioned into the accompanying classifications: choice tree arrangement calculation, Bayesian grouping calculation, affiliation rule, neural organization, k-closest neighbor calculation, hereditary calculation, unpleasant set, and so on [9]. This part first introduces the concept and theoretical techniques of Bayesian method, and then proposes a new incremental decision tree algorithm combining Bayesian method and decision tree algorithm.…”

Section: Naive Bayesian Methodsmentioning

confidence: 99%

RETRACTED ARTICLE: Construction of feature analysis model for demeanor evidence investigation based on data mining algorithm

Zhang

¹

,

Qi

²

,

Guo

³

2023

J Supercomput

0

2

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Demeanor evidence refers to the authoritative opinions of experts using analytical instruments to collect and interpret the formation of external physiological symptoms of the entire human body.The use of man-made reasoning in the field of legal settling has become increasingly broad.Specialists are giving increasingly more consideration to the securing of modular proof. This paper proposes the development of a component examination model for modular proof examination applications. The technique for this paper is to apply the guileless Bayes strategy, propose a superior information mining calculation, and lay out a model for proof observation and examination. The function of these methods is to systematically explore the basic theoretical issues of demeanor evidence based on the status quo of judicial application of demeanor evidence. Through the prediction of individual demeanor based on data mining algorithm, the evidence analysis model is designed, the neurobiological experiment is carried out, and the demeanor evidence animal stress model is constructed to verify the scientific basis of multidemeanor evidence observation. The experimental results showed that after repeated stimulation of SD rats, the maximum changes in the expression of HSP70 gene and SAA gene were 10.77 and 14.1 respectively, reflecting the high reliability of demeanor evidence biological experiments.

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“…Designing an improved algorithm of data mining can further improve the e ciency of existing data mining algorithms and improve the results of data mining.The legitimacy of characterization results straightforwardly in uences the exactness of data mining results [8]. The development strategies for classi ers mostly incorporate the accompanying: choice tree grouping strategy, numerical measurements technique, man-made consciousness technique, neural organization strategy, and so on as per different examination headings of order calculation, it tends to be partitioned into the accompanying classi cations: choice tree arrangement calculation, Bayesian grouping calculation, a liation rule, neural organization, k-closest neighbor calculation, hereditary calculation, unpleasant set, and so on [9]. This part rst introduces the concept and theoretical techniques of Bayesian method, and then proposes a new incremental decision tree algorithm combining Bayesian method and decision tree algorithm.…”

Section: Naive Bayesian Methodsmentioning

confidence: 99%

Construction of Feature Analysis Model for Demeanor Evidence Investigation Based on Data Mining Algorithm

Zhang

¹

,

Qi²,

Guo³

2022

Preprint

0

View full text Add to dashboard Cite

Demeanor evidence refers to the authoritative opinions of experts using analytical instruments to collect and interpret the formation of external physiological symptoms of the entire human body.The use of man-made reasoning in the field of legal settling has become increasingly broad.Specialists are giving increasingly more consideration to the securing of modular proof. This paper proposes the development of a component examination model for modular proof examination applications. The technique for this paper is to apply the guileless Bayes strategy, propose a superior information mining calculation, and lay out a model for proof observation and examination. The function of these methods is to systematically explore the basic theoretical issues of demeanor evidence based on the status quo of judicial application of demeanor evidence. Through the prediction of individual demeanor based on data mining algorithm, the evidence analysis model is designed, the neurobiological experiment is carried out, and the demeanor evidence animal stress model is constructed to verify the scientific basis of multidemeanor evidence observation. The experimental results showed that after repeated stimulation of SD rats, the maximum changes in the expression of HSP70 gene and SAA gene were 10.77 and 14.1 respectively, reflecting the high reliability of demeanor evidence biological experiments.

show abstract

On Decomposing Complex Test Cases for Efficient Post-silicon Validation

Harshitha,

Harikrishna,

Rohith

et al. 2024

2024 29th Asia and South Pacific Design Automation Conference (ASP-DAC)

0

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A Methodology to Capture Fine-Grained Internal Visibility During Multisession Silicon Debug

Cited by 6 publications

References 18 publications

RETRACTED ARTICLE: Construction of feature analysis model for demeanor evidence investigation based on data mining algorithm

RETRACTED ARTICLE: Construction of feature analysis model for demeanor evidence investigation based on data mining algorithm

Construction of Feature Analysis Model for Demeanor Evidence Investigation Based on Data Mining Algorithm

On Decomposing Complex Test Cases for Efficient Post-silicon Validation

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