330 research outputs found
Repetitive current control of two-level and interleaved three-phase PWM utility connected converters
This thesis is mainly concerned with investigations into digital repetitive current controlof two-level and interleaved utility connected PWM converters. The research ismotivated by the relatively poor performance of classical (PI) controllers when theutility voltage harmonic distortion is high. This is due to the low gain, and poordisturbance rejection of the PI controller at the utility harmonic frequencies. Repetitivefeedback controllers have the ability to track or reject periodic disturbances, such asutility harmonics, as they naturally have high gains at the utility voltage harmonicfrequencies, assuming that these frequencies do not change.Repetitive controllers (RC) are known for being sensitive to variations in systemparameters and disturbance frequency, which in practice renders them either ineffectiveor unstable. Another challenge arises from the memory requirements of RC in case ofthe absence of even harmonics, which can make its practical implementation difficultand expensive. In addition, another problem that has not been investigated extensivelyin the literature is that the effectiveness of RC is severely limited by the limitedbandwidth of the plant (the utility connected converter and its filter). Theoreticalanalysis and simulation results presented in this thesis show that RC could noteffectively reject disturbances at frequencies above the closed loop system bandwidth.The design of the converter's output filter bandwidth and the values of its componentsneed to be selected carefully, to enable RC to be used effectively.The research in this thesis focuses on investigating the practical implementation andperformance limits of two types of repetitive controllers (conventional and oddharmonics),used for current control of two-level utility connected converter with LCLoutput filter. The odd-harmonic repetitive controller halves the memory requirementand offers higher gains only at odd harmonic frequencies of interest. The overall controlscheme consists of the traditional classical tracking controller with a dual loop feedbacksystem and RC. The results indicate that the repetitive controller improves the steadystate error and the total harmonic distortion of the output current, provided that theplant's bandwidth is sufficiently large.Finally, a repetitive controller for an interleaved utility connected converter has beendesigned and investigated in this study. The interleaved converter system has higherbandwidth than the two-level converter, which improves the effectiveness of RC. Itprovides good disturbance rejection compared to classical controllers which results inlow output current THD. The RC was demonstrated to be robust despite uncertainty inutility impedance, while achieving a fast almost zero error convergence. The proposedRC has been experimentally implemented using a DSP and the results indicate that thequality of output current complies with international standards on harmonic limits andmatches simulation results obtained from the Matlab/Simulink model of the system
Dr. Jamil Jalibi: The Fragrence of Personal Relation and Research
Dr Jamil Jalibi (1929-2019) is a well-known writer, literary historian and critic. There are over thirty books on these genres, to his credit. He wrote a matchless History of Urdu Literature and edited a legendary literary magazine, Naya Daur, for many years. In this article, the author has remembered him, through his personal reflections. Unpublished letters of Dr Jamil Jalibi, addressed to the author, have also been produced here. These letters not only express his sentiments towards his addressee but also reflect his own personality through the words of affection and literature. Questions raised by the author are also answered by the literary genius. Issues requiring explanations have been expounded on, in the endnotes
Dr. Jamil Jalibi: The Fragrence of Personal Relation and Research
Dr Jamil Jalibi (1929-2019) is a well-known writer, literary historian and critic. There are over thirty books on these genres, to his credit. He wrote a matchless History of Urdu Literature and edited a legendary literary magazine, Naya Daur, for many years. In this article, the author has remembered him, through his personal reflections. Unpublished letters of Dr Jamil Jalibi, addressed to the author, have also been produced here. These letters not only express his sentiments towards his addressee but also reflect his own personality through the words of affection and literature. Questions raised by the author are also answered by the literary genius. Issues requiring explanations have been expounded on, in the endnotes
Dr. Jamil Jalibi: The Fragrence of Personal Relation and Research
Dr Jamil Jalibi (1929-2019) is a well-known writer, literary historian and critic. There are over thirty books on these genres, to his credit. He wrote a matchless History of Urdu Literature and edited a legendary literary magazine, Naya Daur, for many years. In this article, the author has remembered him, through his personal reflections. Unpublished letters of Dr Jamil Jalibi, addressed to the author, have also been produced here. These letters not only express his sentiments towards his addressee but also reflect his own personality through the words of affection and literature. Questions raised by the author are also answered by the literary genius. Issues requiring explanations have been expounded on, in the endnotes
Reflective Practices among Postgraduate Medical Students to Improve their Learning Outcomes - A Qualitative Exploratory Study
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Corrigendum
Boyer TD, Medicis JJ, Pappas SC, Potenziano J, Jamil K. A randomized, placebo-controlled, double-blind study to confirm the reversal of hepatorenal syndrome type 1 with terlipressin: the REVERSE trial design. Open Access Journal of Clinical Trials. 2012;4:39–49.Dr Jamil’s first name was incorrectly spelt as Khuramm Jamil in the author list. The correct spelling is Khurram Jamil.Read the original articl
ڈاکٹرجمیل جالبی کا حاسئہ تحقیق : میرا جی، راشد اور میرکے خصوصی حوالےسے: SENSATION OF RESEARCH OF DR JAMIL JALBI:WITH SPECIAL REFERENCE TO MIRA.G, RASHID & MEER
Dr. Jamil Jalbi being an authentic reference of Urdu literature, Research and criticism has no alternative in Reseach specially. He has reviewed critically work of many literary personalites. Critical analysis of Mira.G, Rashid and Meer by Dr Jamil Jalbi are significantly known in Urdu literature. The purpose of this article is to explore Reseach expertise of Dr. Jamil Jalbi regarding Kulyat-e-Meera G, Noon-Meem Rashid-Aik Mutalia, Muhammad Taqi Meer. Author has concluded that criterion and standards of Research established by Dr. Jamil Jalbi are road map for new scholars and Researchers
Developing and Validating Sense of Belongingness (SoB) Scale in Online Distance Learning (ODL) in Postgraduates
Transforming Medical and Dental Curriculum in the era of Artificial Intelligence (AI)
The dawn of artificial intelligence (AI) signifies a pivotal shift in medical and dental education. Integrating AI into the curriculum modernizes learning and equips future healthcare professionals with crucial tools for the 21st century. The COVID-19 pandemic revealed the limitations of conventional educational models, necessitating rapid adaptation to remote and online learning environments. This disruption expedited the transition to digital platforms, laying the foundation for further integration of technology, including AI, into medical education. What began as an emergency response has now become a permanent feature of the educational landscape, evolving from static textbooks to dynamic digital platforms that offer greater accessibility, inclusivity, and personalization of learning experiences.1 In the AI era, it is insufficient to merely digitize the curriculum; a comprehensive transformation is essential. The digital curriculum opens new avenues for interactive learning environments, simulation-based practices, and adaptive learning algorithms that respond to the individual needs of students. AI-driven tools such as virtual patient simulations, diagnostic decision-making platforms, and predictive analytics have the potential to revolutionize how medical students learn, practice, and apply their knowledge in clinical settings.2 These innovations allow for an enhanced learning experience where students can interact with realistic patient cases and make informed decisions, fostering a deeper understanding of clinical practice.
One of the most promising applications of AI in medical education is its role as an educational partner. AI-powered platforms can function as personalized tutors, providing real-time feedback, adjusting learning modules based on student performance, and even predicting areas where additional support may be required.3 Adaptive learning systems can analyze the learner’s pace and comprehension, offering tailored resources to bridge knowledge gaps. This personalized approach to education ensures that no student is left behind, addressing one of the longstanding challenges of traditional, one-size-fits-all curricula. Additionally, AI can enhance clinical reasoning through simulation and data-driven case scenarios. By analyzing patterns in patient data, AI algorithms can help medical students gain deeper insights into complex clinical decision-making processes. This data-driven approach can significantly improve learners’ ability to diagnose and plan treatments, thereby improving clinical outcomes. While AI and digital tools offer substantial benefits, the role of educators remains essential in this new educational paradigm. Rather than replacing teachers, AI will augment their roles, allowing them to focus on mentorship, critical thinking, and the ethical dimensions of healthcare.4 Educators will need to reimagine their roles, becoming facilitators of learning who guide students in interpreting and applying AI-generated data in clinical settings. As AI takes on administrative tasks such as grading, educators can dedicate more time to meaningful interactions with students.5 However, this shift toward AI-driven curricula also requires significant investment in faculty development. Educators must be trained in the use of AI tools and possess a thorough understanding of their applications to ensure that AI is used responsibly and effectively in shaping future healthcare professionals.
As AI becomes more integrated into medical education, addressing the ethical challenges associated with this technology becomes crucial. While AI-driven tools hold great promise, they must be designed and deployed with an acute awareness of biases, data privacy concerns, and the risk of over-reliance on algorithms in clinical decision-making.6 The digital curriculum must provide students with technical skills and a strong ethical foundation for AI use in healthcare. Students must be trained to critically evaluate AI outputs, understand their limitations, and ensure that human judgment remains central to patient care. Transforming medical curricula in the AI era is not without challenges. Digital divides, access to technology, and the initial cost of AI-driven platforms may pose barriers to widespread adoption. Institutions must ensure equitable access to resources for all students, regardless of their geographic or socioeconomic backgrounds. Moreover, regulatory bodies such as the Higher Education Commission (HEC) and the Pakistan Medical and Dental Council (PMDC) must revise standards to accommodate these technological advancements. In conclusion, the transformation of medical and dental curricula into a digital, AI-enhanced model represents not only a modernization of education but also a fundamental shift in preparing future healthcare professionals. By embracing AI as an educational partner, medical institutions can create personalized, data-driven learning environments that equip students with the skills and knowledge needed to thrive in an increasingly complex healthcare landscape. The integration of AI into the curriculum offers an opportunity to empower the next generation of doctors, enabling them to navigate future challenges with confidence and competence. Now is the time for this transformation, and it is a journey that we must embark on collectively to ensure the future of education, healthcare, and patient care
ترجمےکافن اور ڈاکٹر جمیل جالبی کی ترجمہ نگاری: THE ART OF TRANSLATION AND THE RENDERINGS OF DR. JAMIL JALBI (WITH SPECIAL REFERENCE OF JANWARASTAN)
Translation and discourse analysis are the best sources of uniformity and conformity among societies and civilizations regarding meanings, ideologies, concepts and beliefs. Dr. Jamil Jalbi transforms from English language to Urdu aphoristically with same sense of meaning and context. The Researcher has critically evaluated translation of George Orwell’s novel “Animal Farm” in Urdu Language entitled “Janwarstan” by Dr. Jamil Jalbi where idioms, phrases, phrasal verbs and slangs have been transformed as Lingua Franca. The reader feels originality that is real sense of Dr. Jamil Jalbi. A sociological system allegorically has been revealed by the author and conveyed the 2nd language with contextual aspect of civilization. Political differences how run among societies are real theme and how the misuse of power handles the situations
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