10,892 research outputs found
Pioneers of Library Movement in Pakistan
Full text linkThe paper aims to describe in brief the contribution of seven leaders of Pakistan librarianship, viz. K.B. Khalifa M. Asadullah, Prof. Dr. Abdul Moid, Dr. Abdus Subuh Qasimi, Muhammad Shafi, Fazal Elahi, Khawaja Nur Elahi and S. V. Hussain. The early library developments are given for better understanding of the role of these leaders
Educational multimedia adaptation for power-saving in mobile learning
No full textLimited-battery power is a major constraint in mobile learning. It is important to adopt battery power-saving mechanisms in mobile learning applications in order to extend the duration of learning activities. This thesis explores issues related to power-saving in mobile learning. Streaming of online educational multimedia on mobile devices is a power hungry activity due to large amount of wireless data transfer. A number of power-saving multimedia adaptation techniques for streaming multimedia have been developed in the past. Most of these existing approaches achieve power-saving by uniformly lowering the presentation quality of an entire multimedia stream. These generic techniques will typically lower the visual quality of an entire multimedia stream uniformly, without considering its impact on perceived loss of visual information at different points of the multimedia stream.In this thesis, through a user study we suggest that reducing the quality of educational multimedia beyond a certain level - for power-saving adaptation - can cause perceived loss of visual information in quality-sensitive portions of a multimedia. This could have a negative impact on perceived learning effects and leave the resource unsuitable for learning. The results of the study suggest that different parts of a learning multimedia may have different lowest acceptable presentation quality requirements for avoiding perceived loss of visual information. The participants of the study were able to comprehend visual information in one fragment at a lower visual quality but could not comprehend visual information of some other fragments at the same quality level. To address this problem, we proposed a Content-Aware Power Saving Educational Multimedia Adaptation (CAPS-EMA) approach that suggests a way of delivering each portion of a multimedia in a lowest acceptable quality based on the visual contents of each fragment. We demonstrate an implementation of this approach using a prototype system called MoBELearn. The results of our evaluation studies suggest that the way CAPS-EMA adapts multimedia resources is acceptable to users in power-saving situations. CAPS-EMA requires some authoring processes in order to identify fragments and lowest acceptable quality constraints. An expert evaluation described the activities involved in the authoring process as easy to understand and performPower-saving multimedia adaptation mostly results in some compromises in terms of visual quality and information content. Existing techniques offer users little control over the adaptation process and they are obliged to accept the consequences of the adaptation. We propose a Learner Battery Interaction (LBI) mechanism that suggests offering users power-saving options and relevant feedback about the expected compromises for each power-saving option. This would enable users to make informed choices about power-saving. We evaluated the concept of LBI through a user study. The results of the study suggest a positive perceived usefulness of the system and that mobile learning applications may benefit from the idea.In the end, we propose a search mechanism for online adaptive learning resources that would help find a personalised learning resource that would fulfil the information needs of a learner in a battery-efficient way. This proposed mechanism is based on the concept of discovery of online open adaptive learning resources. For this purpose, we proposed an ontology model to describe adaptive learning resources, in terms of its adaptive features: learning and presentation features. This model could be used as a basis for implementing the proposed concept of the discovery of versions of adaptive learning resources in order to enable learners to engage in learning activities in a battery-efficient way by searching for online learning resources
Virtual Machine (VM) Memory Dumps for Ransomware Forensics
No full textThis dataset is for digital forensics of those machines which are infected by ransomware
The Complete Muhammad Ali
No full textIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Intro -- DEDICATION -- INTRODUCTION -- The Curious History of an Icon -- CHAPTER 1 -- CHAPTER 2 -- CHAPTER 3 -- CHAPTER 4 -- CHAPTER 5 -- CHAPTER 6 -- CHAPTER 7 -- Did the Secret Government Fear a U.S. Muslim/Overseas Muslim Alliance? -- CHAPTER 8 -- CHAPTER 9 -- The Break Between the Prophet and his Disciple -- CHAPTER 10 -- CHAPTER 11 -- CHAPTER 12 -- The GOAT (Greatest Of All Time): Ali or Louis? -- CHAPTER 13 -- The Nation of Islam, the Mob, Showdowns in Canada and Sonny Liston -- CHAPTER 14 -- CHAPTER 15 -- The Taunts: Marketing or Racism? -- CHAPTER 16 -- CHAPTER 17 -- CHAPTER 18 -- CHAPTER 19 -- Boxing and the Brain -- CHAPTER 20 -- Ali's Feet -- CHAPTER 21 -- Mr. Dick -- CHAPTER 22 -- CHAPTER 23 -- The Opening Ceremonies, November 2005 -- CHAPTER 24 -- December 2005, Las Vegas -- CHAPTER 25 -- CHAPTER 26 -- June 16, 2004 -- CHAPTER 27 -- CHAPTER 28 -- CHAPTER 29 -- Aix-en-Provence -- CHAPTER 30 -- Ali as a Black Nationalist -- San Francisco, January 2004 Black Liberation Book Fair -- CHAPTER 31 -- January 31, 2004 -- CHAPTER 32 -- October 2005, Chicago -- CHAPTER 33 -- Why Ali remained with Elijah instead of following Malcolm -- CHAPTER 34 -- CHAPTER 35 -- February 4, 2006, Oakland, California -- CHAPTER 36 -- Like Zeus Descending from Mount Olympus -- CHAPTER 37 -- CHAPTER 38 -- Tuesday, February 28, 2006, New York -- CHAPTER 39 -- Bigger Than Boxing -- CHAPTER 40 -- Tribes Gallery, New York, April 2006 -- CHAPTER 41 -- June 2006, Louisville, Kentucky -- CHAPTER 42 -- CHAPTER 43 -- CHAPTER 45 -- Bad Company -- CHAPTER 46 -- Coxson, A Very Charming Rogue -- CHAPTER 47 -- Ali and the largest embezzlement scheme in Wells Fargo history -- CHAPTER 48 -- CHAPTER 49 -- "Lonnie is a stabilizing force."-Harry Belafonte -- October 29, 2006 -- CHAPTER 50 -- Abdul Rahman -- CHAPTER 51 -- CHAPTER 52 -- CHAPTER 53How Will Ali Be Remembered? New York, January 8, 2005 -- CHAPTER 54 -- CONCLUSION -- AFTERWORD -- Boxers' Rights? -- BIBLIOGRAPHY -- MUHAMMAD ALI -- ISLAM AND NATION OF ISLAM -- BOXING -- RELATED SUBJECTS -- ALSO AVAILABLE FROM BARAKA BOOKSIncluding material and photographs not included in most of the 100 other books about the champion, Ishmael Reed's The Complete Muhammad Ali is more than just a biography-it is a fascinating portrait of the 20th century and the beginning of the 21st. An honest, balanced portrayal of Ali, the book includes voices that have been omitted from other books. It charts Ali's evolution from Black Nationalism to a universalism, but does not discount the Nation of Islam and Black Nationalism's important influence on his intellectual development. Filipino American author Emil Guillermo speaks about how "The Thrilla' In Manila" brought the Philippines into the 20th century. Fans of Muhammad Ali, boxing fans, and those interested in modern African American history and the Nation of Islam will be fascinated by this biography by an accomplished American author.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
AI-Driven Precision Clothing Classification: Revolutionizing Online Fashion Retailing with Hybrid Two-Objective Learning
No full textIn the ever-expanding online fashion market, businesses in the clothing sales sector are presented with substantial growth opportunities. To utilize this potential, it is crucial to implement effective methods for accurately identifying clothing items. This entails a deep understanding of customer preferences, niche markets, tailored sales strategies, and an improved user experience. Artificial intelligence (AI) systems that can recognize and categorize clothing items play a crucial role in achieving these objectives, empowering businesses to boost sales and gain valuable customer insights. However, the challenge lies in accurately classifying diverse attire items in a rapidly evolving fashion landscape. Variations in styles, colors, and patterns make it difficult to consistently categorize clothing. Additionally, the quality of images provided by users varies widely, and background clutter can further complicate the task of accurate classification. Existing systems may struggle to provide the level of accuracy needed to meet customer expectations. To address these challenges, a meticulous dataset preparation process is essential. This includes careful data organization, the application of background removal techniques such as the GrabCut Algorithm, and resizing images for uniformity. The proposed solution involves a hybrid approach, combining the strengths of the ResNet152 and EfficientNetB7 architectures. This fusion of techniques aims to create a classification system capable of reliably distinguishing between various clothing items. The key innovation in this study is the development of a Two-Objective Learning model that leverages the capabilities of both ResNet152 and EfficientNetB7 architectures. This fusion approach enhances the accuracy of clothing item classification. The meticulously prepared dataset serves as the foundation for this model, ensuring that it can handle diverse clothing items effectively. The proposed methodology promises a novel approach to image identification and feature extraction, leading to impressive classification accuracy of 94%, coupled with stability and robustness
Part of speech (POS) tagging in Roman Urdu: datasets and models
No full textRoman Urdu is a prevalent medium of expression on social media, news websites, and text messages in the subcontinent, making it a valuable data source for social media and text analytics, particularly in the Indo-Pak perspective. However, despite the immense potential, limited efforts have been made in the area of Roman Urdu text analytics due to various complexities, such as a lack of a standard lexicon, the informal nature of the text, and the lack of text processing tools. The development of the Roman Urdu Part-of-Speech (POS) dataset and the implementation of a robust tagger hold immense importance for text analytics in Roman Urdu. In this work, we created a comprehensive, large-scale Roman Urdu POS dataset and developed a Roman Urdu POS tagger, laying the foundation for future advancements in advanced text analysis. Our approach involved the utilization of Hidden Markov Models, Neural Networks, state-of-the-art transformer models, and Large Language Models as baselines. In our work, we curated two distinct test datasets: one with lexical variation and the other without such variation. This approach allowed us to test the model’s robustness in handling different linguistic challenges posed by lexical variations. Our tagger yields high-quality output with an accuracy score of 96% without lexical variation and 86% on test data with lexical variations. We also evaluated state-of-the-art Large Language Models (GPT-4o and Llama-3-8B) in zero-shot and few-shot settings, with GPT-4o achieving up to 53.78% accuracy in the few-shot configuration, demonstrating a substantial performance gap compared to specialized models. This work establishes a comprehensive framework for Roman Urdu POS tagging that effectively addresses lexical variation challenges, providing essential resources and benchmarks for advancing Roman Urdu natural language processing research
Nilai Pendidikan Karakter Dalam Kitab Washaya Al-Aba’ Li Al-Abna Karya Muhammad Syakir Al-Iskandari
Full text linkThis research aims to identify the character education values contained in the book Washaya al-Aba' li al-Abna Muhammad Syakir and the role of his opinion on the richness of character education values. It is hoped that this research can be used as a source or reference in efforts to develop education and character as a whole, especially character education according to Islam. It can also be used as a reference to facilitate understanding of character education and as a reference for relevant research in the future. This research method is qualitative and uses a narrative biography method. By using a descriptive presentation approach, this autobiography of the character's thoughts combines the ideas of character education from his work. Library research, or library research, is a research method that involves books, articles, notes and electronic media. with primary sources from the book Washaya al Aba Li al-Abna and secondary sources from study books. In this research, data collection was carried out through the documentation method, which includes searching for data through variables such as notes, books, and articles, among others. The author used a content analysis study to analyze the data; they analyzed the data textually based on the contents of the book. The research results show that the book Washaya al Aba Li al-Abna contains 17 educational character values, divided into two categories: 10 character values fall into the moral category and 7 character values fall into the performance category. Faith and piety, love and obedience to the Messenger of Allah, respect for parents, respect for teachers, truth or honesty, nobility or self-respect, patience, sincerity and a simple life are moral characters. Performance characteristics also include trust, discipline, hard work, never giving up, love of the country, interest in reading or literacy knowledge, and concern for the environment
Smart Scheduling of EVs Through Intelligent Home Energy Management Using Deep Reinforcement Learning
No full textThis article presents the deep reinforcement learning (DRL) based smart scheduling in intelligent home energy management system (SSIHEMS) for electric vehicles (EVs) scheduling by utilizing the photovoltaic (PV) on the rooftop for economic dispatch problems. Therefore, optimizing home appliances to minimize consumption cost is challenging because of the randomness of electricity prices and poses a challenge for efficient scheduling. The data-driven model-free DRL-based SSIHEMS is utilized to optimize the decision by managing different home appliances and offering appropriate scheduling EVs to overcome the shortcomings. The decision includes the proper scheduling of battery charging, discharging, and EV to reduce the dependency on the electric grid through a collaborative approach. In addition, the proposed work covers designing a gym-based environment that incorporates the states fed to an agent and receives the reward based on the action taken for scheduling. Hence, the case study is performed to validate the proposed approach. It is verified that the decisions for battery charging, discharging, and EV scheduling are managed well through PV generation with respect to time. Furthermore, to verify the robustness and effectiveness, a comparison of different algorithms such as deep Q-network (DQN), double DQN, and dueling DQN
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