389 research outputs found
A negation query engine for complex query transformations
Natural language interfaces to ontologies allow users to query the system using natural language queries. These systems take natural language query as input and transform it to formal query language equivalent to retrieve the desired information from ontologies. The existing natural language interfaces to ontologies offer support for handling negation queries; however, they offer limited support for dealing with them. This paper proposes a negation query handling engine which can handle relatively complex natural language queries than the existing systems. The proposed engine effectively understands the intent of
the user query on the basis of a sophisticated algorithm, which is governed by a set of techniques and transformation rules. The proposed engine was evaluated using the Mooney data set and AquaLog dataset, and it manifested encouraging results
Adaptive optimal control of under-actuated robotic systems using a self-regulating nonlinear weight-adjustment scheme: Formulation and experimental verification
This paper formulates an innovative model-free self-organizing weight adaptation that strengthens the robustness of a Linear Quadratic Regulator (LQR) for inverted pendulum-like mechatronic systems against perturbations and parametric uncertainties. The proposed control procedure is devised by using an online adaptation law to dynamically adjust the state weighting factors of LQR's quadratic performance index via pre-calibrated state-error-dependent hyperbolic secant functions (HSFs). The updated state-weighting factors re-compute the optimal control problem to modify the state-compensator gains online. The novelty of the proposed article lies in adaptively adjusting the variation rates of the said HSFs via an auxiliary model-free online self-regulation law that uses dissipative and anti-dissipative terms to flexibly re-calibrate the nonlinear function's waveforms as the state errors vary. This augmentation increases the controller's design flexibility and enhances the system's disturbance rejection capacity while economizing control energy expenditure under every operating condition. The proposed self-organizing LQR is analyzed via customized hardware-in-loop (HIL) experiments conducted on the Quanser's single-link rotational inverted pendulum. As compared to the fixed-gain LQR, the proposed SR-EM-STC delivers an improvement of 52.2%, 16.4%, 55.2%, and 42.7% in the pendulum's position regulation behavior, control energy expenditure, transient recovery duration, and peak overshoot, respectively. The experimental outcomes validate the superior robustness of the proposed scheme against exogenous disturbances
Assessment of Knowledge among Dental Patients regarding Second wave of Corona virus Disease
Objective The objective of this study was to assess the dental patients' knowledge and perspectives with respect to the second wave of COVID-19.
Materials and methods A self-designed questionnaire was sent as a google forms link via WhatsApp and a few patients who had no access to WhatsApp, were asked to fill out a hand printed form. The completed questionnaires were then analyzed using the statistical package for social sciences (IBM version 22).
Results: A total of 350 participants were included in the study, out of which 38% were male and 62% were female. Result was calculated using binary logistic regression analysis for different variables to predict the confidence level based on their knowledge, attitude and practice regarding second wave of COVID-19.
Conclusion: Our study concluded that there is more than satisfactory level of knowledge regarding COVID-19 and People are aware of the basic protocols which help in protection against the virus owing to easy access of information
Career Development an Imperative of Job Satisfaction and Career Commitment: Empirical Evidence from Pakistani Employees in Banking Sector
The idea of strengthening human capital to beginning creativeness, business soul, and advancement through preparing the careers of institutional members using HRM policies and methods to develop different skills, mindsets and expertise with the ultimate aim to provide a range of innovative goods and services is gaining attention. The overall perspective for the research study was to discover the effects and outcomes of profession growth initiatives on companies and employees. The survey is conducted to collect data from the Banking sector in Islamabad and sample selected is of five major private banks. The data is analyzed by using SPSS and Amos to authenticate the model and propositions made by the researcher. Organizations invest resources in profession growth kinds of actions for recruiting, there tends to be less investment in similar kinds of actions for worker retention. This paper examines the link between profession preparing and profession control as antecedents of profession growth and job fulfillment, and profession dedication as its outcome. There is a significant link between the factors of profession preparing and profession control, and profession growth, and in turn, with job fulfillment and profession dedication. The paper converses about the significances of these conclusions for career development
A Bibliometric Analysis of Board Gender Diversity in the Perceptive of Social Equity: A Science Mapping and Performance Analysis in the Banking Sector
Gender equality is becoming a well-discussed phenomenon among scholars, policymakers, and governments, particularly after the emphasis on gender equality goals by the United Nations. As a result, women increasingly occupy higher managerial positions within the firm hierarchy in the banking sector to achieve social equity which is only possible to address the gender disparity issue. That is why the literature on female representation in corporate boards has dramatically increased in recent years, proving unequivocally that specific traits of women favorably influence many domains inside the organization. However, the conflicting empirical evidence regarding the significance of gender board diversity (GBD) leads scholars to revisit the underpinning theories and literature. The current study conducted a bibliometric analysis to evaluate scholarly papers concerning female participation on governing boards from 2012-22. The Scopus database was used for document extractions, and 792 publications were included in the bibliometric analysis. The findings emphasize important journals, institutes, countries, pertinent authors, and research on this issue. The United States, the United Kingdom, and Spain are the most dominant regions, and University Utara Malaysia is the leading institute in publications. Journal of Business Ethics is the primary source of publication, and García-Sánchez is the most contributing author based on article metric. The study also reported the five major research themes: board structure and composition, CSR disclosure and sustainability, the financial impact of board gender diversity (BGD), demographic diversity, and the significance of female CEOs in decision-making opening new research areas for scholars and practitioners. The study will be helpful in theoretically supporting the concept of GBD in the banking sector and highlighting the reasons for conflicting findings from the prior studies that will be useful in achieving sustainable organizational goals
Quantitative assessment of concept maps for conceptualizing domain ontologies: a case of Quran
The use of graphical knowledge representation formalisms with a representational vocabulary agreement of terms of conceptualization of the universe of discourse is a new high potential approach in the ontology engineering and knowledge management context. Initially, concept maps were used in the fields of education and learning. After that, it became popular in other areas due to its flexible and intuitive nature. It was also proven as a useful tool to improve communication in corporate environment. In the field of ontologies, concept maps were explored to be used to facilitate different aspects of ontology development. An essential reason behind this motivation is the structural resemblance of concept maps with the hierarchical structure of ontologies. This research aims to demonstrate quantitative evaluation of 4 different hypotheses related to the effectiveness of using concept maps for ontology conceptualization. The domain of Quran was selected for the purpose of this study and it was conducted in collaboration with the experts from the Centre of Quranic Research, Universiti Malaya, Kuala Lumpur, Malaysia. The results of the hypotheses demonstrated that concept mapping was easy to learn and implement for the majority of the participants. Most of them experienced improvement in domain knowledge regarding the vocabularies used to refer to the structure of organization of the Quran, namely Juz, Surah, Ayats, tafsir, Malay translation, English translation, and relationships among these entities. Therefore, concept maps instilled the element of learning through the conceptualization process and provided a platform for participants to resolve conflicting opinions and ambiguities of terms used immediately
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