The Experts below are selected from a list of 31872 Experts worldwide ranked by ideXlab platform

Sahrim Lias - One of the best experts on this subject based on the ideXlab platform.

  • classification of Intelligence quotient via brainwave sub band power ratio features and artificial neural network
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: A. H. Jahidin, Mohd Nasir Taib, Md N Tahir, I M Yassin, Sahrim Lias
    Abstract:

    This paper elaborates on the novel Intelligence Assessment method using the brainwave sub-band power ratio features. The study focuses only on the left hemisphere brainwave in its relaxed state. Distinct Intelligence quotient groups have been established earlier from the score of the Raven Progressive Matrices. Sub-band power ratios are calculated from energy spectral density of theta, alpha and beta frequency bands. Synthetic data have been generated to increase dataset from 50 to 120. The features are used as input to the artificial neural network. Subsequently, the brain behaviour model has been developed using an artificial neural network that is trained with optimized learning rate, momentum constant and hidden nodes. Findings indicate that the distinct Intelligence quotient groups can be classified from the brainwave sub-band power ratios with 100% training and 88.89% testing accuracies.

  • Brainwave sub-band power ratio characteristics in Intelligence Assessment
    2012 IEEE Control and System Graduate Research Colloquium, 2012
    Co-Authors: A. H. Jahidin, Mohd Nasir Taib, N. Md Tahir, M. S. A. Megat Ali, Sahrim Lias, N. Fuad, W. R. W. Omar
    Abstract:

    This paper discusses on the brainwave sub-band characteristics for different Intelligence groups based on electroencephalogram (EEG) power ratio technique. The EEG datasets have been collected from 50 healthy subjects for two sessions; at relaxed, closed eye (CE) state as reference and at cognitively-stimulated state. In the stimulated state, subjects need to answer the Intelligence quotient (IQ) test based on Raven's Standard Progressive Matrices (RPM). Sub-band power ratio from the two sessions were calculated and further analyzed to observe the pattern among different IQ groups. The results show that by implementing power ratio technique, the pattern of IQ groups, especially in the relaxed state can be clearly observed. It can be concluded that the value for alpha ratio is higher for high IQ group compared to low IQ group. In contrast to beta and theta ratio where high IQ groups have lower value compared to the low IQ group. This indicates that the ESD ratios can discriminate the characteristic of brainwaves for Intelligence Assessment.

Guoa Luo - One of the best experts on this subject based on the ideXlab platform.

  • from quality markers to data mining and Intelligence Assessment a smart quality evaluation strategy for traditional chinese medicine based on quality markers
    Phytomedicine, 2018
    Co-Authors: Tieju Zhang, Yuanyua Hou, Guoyu Ding, Mi Jiang, Guoa Luo
    Abstract:

    Abstract Background The quality of traditional Chinese medicine (TCM) forms the foundation of its clinical efficacy. The standardization of TCM is the most important task of TCM modernization. In recent years, there has been great progress in the quality control of TCM. However, there are still many issues related to the current quality standards, and it is difficult to objectively evaluate and effectively control the quality of TCM. Purpose To face these challenge, we summarized the current quality marker (Q-marker) research based on its characteristics and benefits, and proposed a reasonable and intelligentized quality evaluation strategy for the development and application of Q-markers. Methods Ultra-performance liquid chromatography-quadrupole/time-of-flight with partial least squares-discriminant analysis was suggested to screen the chemical markers from Chinese medicinal materials (CMM), and a bioactive-guided evaluation method was used to select the Q-markers. Near-infrared spectroscopy (NIRS), based on the distinctive wavenumber zones or points from the Q-markers, was developed for its determination. Then, artificial Intelligence algorithms were used to clarify the complex relationship between the Q-markers and their integral functions. Internet and mobile communication technology helped us to perform remote analysis and determine the information feedback of test samples. Chapters The quality control research, evaluation, standard establishment and quality control of TCM must be based on the systematic analysis of Q-markers to study and describe the material basis of TCM efficacy, define the chemical markers in the plant body, and understand the process of herb drug acquisition, change and transmission laws affecting metabolism and exposure. Based on the advantages of chemometrics, new sensor technologies, including infrared spectroscopy, hyperspectral imaging, chemical imaging, electronic nose and electronic tongue, have become increasingly important in the quality evaluation of CMM. Inspired by the concept of Q-marker, the quantitation can be achieved with the help of artificial Intelligence, and these subtle differences can be discovered, allowing the quantitative analysis by NIRS and providing a quick and easy detection method for CMM quality evaluations. Conclusion The concept of Q-markers focused on unique CMM differences, dynamic changes and their transmission and traceability to establish an overall quality control and traceability system. Based on the basic attributes, an integration model and artificial Intelligence research path was proposed, with the hope of providing new ideas and perspectives for the TCM quality management.

Michael Heazle - One of the best experts on this subject based on the ideXlab platform.

  • Policy Lessons from Iraq on Managing Uncertainty in Intelligence Assessment: Why the Strategic/Tactical Distinction Matters
    Intelligence and National Security, 2010
    Co-Authors: Michael Heazle
    Abstract:

    Abstract This paper focuses on how pre-existing policy priorities and goals among policy elites in the US, UK, and Australia encouraged the blurring of strategic and tactical Intelligence Assessment as a mechanism for legitimising the Iraq invasion. Through the selective use and interpretation of sometimes vague or unsubstantiated tactical and technical Intelligence and the many uncertainties it contained, proponents of the war were able to undermine existing strategic Assessments on Iraq by introducing a range of possible, but largely unsubstantiated, threat scenarios as justification for military action. The paper argues that in so far as Intelligence reforms are needed, they should be focused primarily on the interface between analysis and policy making, and the issue of how policy makers interpret and understand the uncertainties that Intelligence Assessments necessarily contain.

  • policy lessons from iraq on managing uncertainty in Intelligence Assessment why the strategic tactical distinction matters
    Intelligence & National Security, 2010
    Co-Authors: Michael Heazle
    Abstract:

    Abstract This paper focuses on how pre-existing policy priorities and goals among policy elites in the US, UK, and Australia encouraged the blurring of strategic and tactical Intelligence Assessment as a mechanism for legitimising the Iraq invasion. Through the selective use and interpretation of sometimes vague or unsubstantiated tactical and technical Intelligence and the many uncertainties it contained, proponents of the war were able to undermine existing strategic Assessments on Iraq by introducing a range of possible, but largely unsubstantiated, threat scenarios as justification for military action. The paper argues that in so far as Intelligence reforms are needed, they should be focused primarily on the interface between analysis and policy making, and the issue of how policy makers interpret and understand the uncertainties that Intelligence Assessments necessarily contain.

A. H. Jahidin - One of the best experts on this subject based on the ideXlab platform.

  • classification of Intelligence quotient via brainwave sub band power ratio features and artificial neural network
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: A. H. Jahidin, Mohd Nasir Taib, Md N Tahir, I M Yassin, Sahrim Lias
    Abstract:

    This paper elaborates on the novel Intelligence Assessment method using the brainwave sub-band power ratio features. The study focuses only on the left hemisphere brainwave in its relaxed state. Distinct Intelligence quotient groups have been established earlier from the score of the Raven Progressive Matrices. Sub-band power ratios are calculated from energy spectral density of theta, alpha and beta frequency bands. Synthetic data have been generated to increase dataset from 50 to 120. The features are used as input to the artificial neural network. Subsequently, the brain behaviour model has been developed using an artificial neural network that is trained with optimized learning rate, momentum constant and hidden nodes. Findings indicate that the distinct Intelligence quotient groups can be classified from the brainwave sub-band power ratios with 100% training and 88.89% testing accuracies.

  • Brainwave sub-band power ratio characteristics in Intelligence Assessment
    2012 IEEE Control and System Graduate Research Colloquium, 2012
    Co-Authors: A. H. Jahidin, Mohd Nasir Taib, N. Md Tahir, M. S. A. Megat Ali, Sahrim Lias, N. Fuad, W. R. W. Omar
    Abstract:

    This paper discusses on the brainwave sub-band characteristics for different Intelligence groups based on electroencephalogram (EEG) power ratio technique. The EEG datasets have been collected from 50 healthy subjects for two sessions; at relaxed, closed eye (CE) state as reference and at cognitively-stimulated state. In the stimulated state, subjects need to answer the Intelligence quotient (IQ) test based on Raven's Standard Progressive Matrices (RPM). Sub-band power ratio from the two sessions were calculated and further analyzed to observe the pattern among different IQ groups. The results show that by implementing power ratio technique, the pattern of IQ groups, especially in the relaxed state can be clearly observed. It can be concluded that the value for alpha ratio is higher for high IQ group compared to low IQ group. In contrast to beta and theta ratio where high IQ groups have lower value compared to the low IQ group. This indicates that the ESD ratios can discriminate the characteristic of brainwaves for Intelligence Assessment.

Tieju Zhang - One of the best experts on this subject based on the ideXlab platform.

  • from quality markers to data mining and Intelligence Assessment a smart quality evaluation strategy for traditional chinese medicine based on quality markers
    Phytomedicine, 2018
    Co-Authors: Tieju Zhang, Yuanyua Hou, Guoyu Ding, Mi Jiang, Guoa Luo
    Abstract:

    Abstract Background The quality of traditional Chinese medicine (TCM) forms the foundation of its clinical efficacy. The standardization of TCM is the most important task of TCM modernization. In recent years, there has been great progress in the quality control of TCM. However, there are still many issues related to the current quality standards, and it is difficult to objectively evaluate and effectively control the quality of TCM. Purpose To face these challenge, we summarized the current quality marker (Q-marker) research based on its characteristics and benefits, and proposed a reasonable and intelligentized quality evaluation strategy for the development and application of Q-markers. Methods Ultra-performance liquid chromatography-quadrupole/time-of-flight with partial least squares-discriminant analysis was suggested to screen the chemical markers from Chinese medicinal materials (CMM), and a bioactive-guided evaluation method was used to select the Q-markers. Near-infrared spectroscopy (NIRS), based on the distinctive wavenumber zones or points from the Q-markers, was developed for its determination. Then, artificial Intelligence algorithms were used to clarify the complex relationship between the Q-markers and their integral functions. Internet and mobile communication technology helped us to perform remote analysis and determine the information feedback of test samples. Chapters The quality control research, evaluation, standard establishment and quality control of TCM must be based on the systematic analysis of Q-markers to study and describe the material basis of TCM efficacy, define the chemical markers in the plant body, and understand the process of herb drug acquisition, change and transmission laws affecting metabolism and exposure. Based on the advantages of chemometrics, new sensor technologies, including infrared spectroscopy, hyperspectral imaging, chemical imaging, electronic nose and electronic tongue, have become increasingly important in the quality evaluation of CMM. Inspired by the concept of Q-marker, the quantitation can be achieved with the help of artificial Intelligence, and these subtle differences can be discovered, allowing the quantitative analysis by NIRS and providing a quick and easy detection method for CMM quality evaluations. Conclusion The concept of Q-markers focused on unique CMM differences, dynamic changes and their transmission and traceability to establish an overall quality control and traceability system. Based on the basic attributes, an integration model and artificial Intelligence research path was proposed, with the hope of providing new ideas and perspectives for the TCM quality management.