title: AI-enabled automated common vulnerability scoring from common vulnerabilities and exposures descriptions

authors: Zhang, Zijing

subjects: computer science

abstract: With the sheer amount of vulnerabilities, manually evaluating the impact of them is challenging. This paper proposes employing artificial intelligence models as substitutes for humans or as aides to human experts in estimating vulnerabilities. We compare the precision, recall, and F1 score amongst the Universal Sentence Encoder, Generative Pre-trained Transformer, and Support Vector Machine, trained on 118,000 vulnerabilities and tested on 51,000 vulnerabilities, with human experts on mean estimation error and variance for each type of vulnerability from the state of the art work in estimating vulnerability severity scores. The Universal Sentence Encoder demonstrates superior performance with results (72/77 % accuracy on severity level prediction) that significantly outperform human experts in assessment tasks for various types of vulnerabilities with high efficiency for memory consumption and low running time. Additionally, we examine the efficacy of our models in predicting the components of vulnerability evaluation metrics and the severity level of vulnerabilities. The findings highlight the potential of artificial intelligence agents to assist cybersecurity experts in this task which in the current state of the art is entirely manual.

text: AI-enabled automated common vulnerability scoring from common vulnerabilities and exposures descriptions With the sheer amount of vulnerabilities, manually evaluating the impact of them is challenging. This paper proposes employing artificial intelligence models as substitutes for humans or as aides to human experts in estimating vulnerabilities. We compare the precision, recall, and F1 score amongst the Universal Sentence Encoder, Generative Pre-trained Transformer, and Support Vector Machine, trained on 118,000 vulnerabilities and tested on 51,000 vulnerabilities, with human experts on mean estimation error and variance for each type of vulnerability from the state of the art work in estimating vulnerability severity scores. The Universal Sentence Encoder demonstrates superior performance with results (72/77 % accuracy on severity level prediction) that significantly outperform human experts in assessment tasks for various types of vulnerabilities with high efficiency for memory consumption and low running time. Additionally, we examine the efficacy of our models in predicting the components of vulnerability evaluation metrics and the severity level of vulnerabilities. The findings highlight the potential of artificial intelligence agents to assist cybersecurity experts in this task which in the current state of the art is entirely manual.

year: 2025

title: Battery performance assessment method and apparatus

authors: Scott, Jonathan B.

abstract: The invention provides a battery performance assessment apparatus which includes two terminal connectors configured to electrically connect the assessment apparatus to the positive and negative terminals of a battery being assessed, and a response measurement system configured to measure the terminal voltage and current of the battery when supplied with at least one alternating test current having a frequency less than the impedance transition frequency associated with the battery being assessed and preferably between 100uHz and 1mHz, and a processor in communication with the response measurement system and being configured to output a performance assessment indicator for the battery being assessed by calculating at least one impedance for the battery using terminal voltage and current measurements communicated by the response measurement system.

text: Battery performance assessment method and apparatus The invention provides a battery performance assessment apparatus which includes two terminal connectors configured to electrically connect the assessment apparatus to the positive and negative terminals of a battery being assessed, and a response measurement system configured to measure the terminal voltage and current of the battery when supplied with at least one alternating test current having a frequency less than the impedance transition frequency associated with the battery being assessed and preferably between 100uHz and 1mHz, and a processor in communication with the response measurement system and being configured to output a performance assessment indicator for the battery being assessed by calculating at least one impedance for the battery using terminal voltage and current measurements communicated by the response measurement system.

year: 2020

title: The contested shift to a bicultural understanding of place heritage in Aotearoa New Zealand

authors: Passey, Emma

abstract: This article explores contemporary threads in the heritage history of Aotearoa New Zealand, as we witness in real-time the emergence of alternative narratives of Indigenous heritage, in contrast to those of Western dominated modernity and colonial hegemony. Moves to actively decolonise heritage studies is creating shifts in the bicultural understanding of culture and heritage to overtly include place heritage. As this new framing emerges, wider acknowledgement of the significance of Māori heritage landscapes is growing. This is explored here in a series of four case-studies. Each account illustrates how Indigenous Māori voices have gained momentum, and reinforces how Aotearoa New Zealand is transitioning to greater bicultural appreciation through inclusion, changes in social and cultural conventions, and new interpretations of dominant narratives using tools like critical heritage studies and existing legal conventions. This evolution of heritage values is not without repeated contestation, however. Positively, increasing numbers of settler-Pākehā (non-Māori) as well as those colonised, no longer believe or accept the histories previously told. Much needed, robust, and sometimes difficult discussions are taking place, enabling New Zealanders to reconsider the significance of what heritage means to all its people.

text: The contested shift to a bicultural understanding of place heritage in Aotearoa New Zealand This article explores contemporary threads in the heritage history of Aotearoa New Zealand, as we witness in real-time the emergence of alternative narratives of Indigenous heritage, in contrast to those of Western dominated modernity and colonial hegemony. Moves to actively decolonise heritage studies is creating shifts in the bicultural understanding of culture and heritage to overtly include place heritage. As this new framing emerges, wider acknowledgement of the significance of Māori heritage landscapes is growing. This is explored here in a series of four case-studies. Each account illustrates how Indigenous Māori voices have gained momentum, and reinforces how Aotearoa New Zealand is transitioning to greater bicultural appreciation through inclusion, changes in social and cultural conventions, and new interpretations of dominant narratives using tools like critical heritage studies and existing legal conventions. This evolution of heritage values is not without repeated contestation, however. Positively, increasing numbers of settler-Pākehā (non-Māori) as well as those colonised, no longer believe or accept the histories previously told. Much needed, robust, and sometimes difficult discussions are taking place, enabling New Zealanders to reconsider the significance of what heritage means to all its people.

year: 2023-01-01