1,721,193 research outputs found
Muhammad latif abdullah's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Muhammad latif abdullah's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Muhammad latif abdullah's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Synthesis, Characterization, and Biological Evaluation of Oxadiazole Derivatives Bearing 5-Phenyl-tetrazole as Osteoclast Differentiation Inhibitors
No full textNovel oxadiazoles bearing 5-phenyl-tetrazole (5a-k) were designed and efficiently synthesized by treating 2-(5-phenyl-2H-tetrazole-2-yl)acetohydrazide (4) with aromatic carboxylic acids in POCl3 , and their in vitro anti-osteoclastogenic activities were evaluated. In the cell-based osteoclast differentiation model, all compounds (5a-k) inhibited the formation of osteoclasts. In addition, the potential target molecules of compound 5 analogs were predicted with their chemical substructures via a web-based interface, and some of them were found to be related to osteoclast differentiation. Consequently, the scaffold containing oxadiazole-tetrazole in a single molecule and their analogs are of potential use in the design of novel anti-osteoclastogenic therapeutics101sciescopuskc
Wasl al-fiqh bi al-Hadith: Pelaksanaan di Dayah Tradisional Aceh / Lazuardi Muhammad Latif
No full textWasl al-Fiqh bi al-lfadith is a concept which integrates the study of jurisprudence and hadith so that fuqaha' will have access to better guidance in formulating their rulings. The concept will also help the muhaddithiun in deriving a more accurate interpretation of the hadith they study. Traditional dayah is the oldest Islamic educational institution in the Malay Archipelago, which is highly respectable among the people of Aceh and is often relied upon for religious rulings and Islamic teachings. This study, which was a field study, took place at Dayah Mudi Mesra, Samalanga, Aceh. It was selected as the site of the study due to its long-established reputation and great influence among the people of Aceh. The study was carried out to shed some light on the concept of Wasl al-Fiqh bi al-Hadith as discussed by Islamic scholars throughout the history of Islamic law, analyze the challenge of traditional dayah in implementing
the concept of Wasl al-Fiqh bi al-lfad/ih, analyze the role of Dayah Mudi Mesra in implementing the concept of Wasl al-Fiqh bi al-Hadith, and analyze the detailed aspects of its implementation and implications for the students and its alumni. The study employs a mixed method, combining qualitative and quantitative data collection instruments consisting of library data, interviews, questionnaires, observations, and documentation. Inductive, deductive, and comparative methods were used for data analysis. The study found, according to some historical accounts, that the concept of Wasl al-Fiqh bi al Hadith is actually a method to reinforce the use of hadith as the second source of law from which fiqh is derived. Overall, traditional dayah in Aceh still face challenges in combining the teaching of fiqh and hadith. Dayah Mudi Mesra, in particular, has not assumed a pivotal role in carrying out the task as it should have. The study also found that the implementation of this concept at dayah has been synonymous to the exclusive adoption of the mazhab of al-Shafi'i as learned from a number of Shafi' i books or as taught by some Shafi' i scholars as a primary reference. This has led to some negative implications both in the socio··religious aspect, such as the emergence of ghuluww in specific religious practices and the rejection of any possible differing\ opinions, and in the socio-political aspect, such as efforts to influence government officials or government policies and to take control of government's strategic positions in order to legitimatize certain religious practices and to force people into subscribing to such practices
Syed Muhammad Latif: A Pioneer Man of Regional Historiography of Punjab
No full textHistorians have tried to state past reality in terms of certainty but what they have been able to achieve is that they wrote nothing more than a mere impression of it. This applies also to Syed Muhammad Latif to whom, however, “the great end of history is the exact illustration of events as they occurred, and there should neither be exaggeration nor concealment, to suit angry feelings or personal disappointment.” The subject which makes on imaginative reconstruction of the past from the date derived by historical methods is known as historiography. In reality, it is a part of historical study, and in rudimentary and perhaps unconscious form, a preliminary to any important historical endeavour. Arthur Marwick considers, nineteenth century is regarded as the renaissance period of modern historiography and also for regional historiograph
Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM
No full textReliable and consistent tracking is essential to realize the dream of power-on-and-go autonomy in mobile robots. Our investigation with state-of-the-art visual navigation and mapping tools (e.g. ORB-SLAM) reveals that these tools suffer from frequent and unexpected tracking failures, especially when tested in the wild. This hinders the ability of robots to reach a goal position less than 10 meters away, without tracking failure, thereby limiting the prospects of real autonomy. We present an introspection-based approach (Introspective-SLAM) that enables SLAM to evaluate safety of navigation steps with respect to tracking failure, before the steps are actually taken. Navigation steps that appear unsafe are thereby avoided, and an alternative path to the goal is planned. We propose a novel deep reinforcement learning (DQN) based network to evaluate safety of future navigation steps using a single image only. Surprisingly, training of our DQN completes in a short amount of time (< 60 h). Even then, this network outperforms several handcrafted and Q-learning based pipelines to achieve state-of-the-art performance. Interestingly, training the DQN in realistic simulators (MINOS), consisting of reconstructed interiors, shows good generalization across real world indoor-outdoor settings. Finally, extensive testing of visual SLAM, equipped with our DQN, shows that tracking failures occur frequently and are a major hindrance in reaching the goal. Currently, there is no standard benchmark to evaluate active visual SLAM approaches. We have released a benchmark of 50 episodes with this work. We hope these findings/benchmark will encourage progress for power-on-and-go visual SLAM without any manual supervision.
Geographical Variations in Implementing Result-Based Management to School Improvement Plans in Punjab's Public Secondary Schools
No full text<p>This research examines geographical variations in the implementation of School Improvement Plans (SIPs) utilizing a Results-Based Management (RBM) approach in public secondary schools across Punjab. The study aims to identify differences among districts, focusing on the practices and perceptions of head teachers and senior school teachers regarding the use of RBM in SIPs. Data was collected through surveys, employing a descriptive research methodology. The findings reveal significant success in central Punjab, where schools' physical and co-curricular environments have benefitted markedly from the application of RBM, fostering a positive perception of SIP achievements among educators. The study suggests enhancing alignment between RBM and SIP indicators and improving communication among schools, communities, and stakeholders, advocating the use of ICT technologies to facilitate these improvements.</p>
Sensor Data Fusion Using Unscented Kalman Filter for VOR-Based Vision Tracking System for Mobile Robots
Full text linkThis paper presents sensor data fusion using Unscented Kalman Filter (UKF) to implement high performance vestibulo-ocular reflex (VOR) based vision tracking system for mobile robots. Information from various sensors is required to be integrated using an efficient sensor fusion algorithm to achieve a continuous and robust vision tracking system. We use data from low cost accelerometer, gyroscope, and encoders to calculate robot motion information. The Unscented Kalman Filter is used as an efficient sensor fusion algorithm. The UKF is an advanced filtering technique which outperforms widely used Extended Kalman Filter (EKF) in many applications. The system is able to compensate for the slip errors by switching between two different UKF models built for slip and no-slip cases. Since the accelerometer error accumulates with time because of the double integration, the system uses accelerometer data only for the slip case UKF model. Using sensor fusion by UKF, the position and orientation of the robot is estimated and is used to rotate the camera mounted on top of the robot towards a fixed target. This concept is derived from the vestibule-ocular reflex (VOR) of the human eye. The experimental results show that the system is able to track the fixed target in various robot motion scenarios including the scenario when an intentional slip is generated during robot navigation
Using time proportionate intensity images with non-linear classifiers for hand gesture recognition
No full textGestures are spatiotemporal signals that contain valuable information. Humans can understand gestures with ease, but for computers or robots it is a challenging task involving thousands of computations per video frame. Current state of the art gesture recognition systems treat gestures as Markov Chains. Then the task of gesture recognition is to match the incoming video sequence to these Markov Chains. Each Markov State is modeled with spatial features such as hand location and temporal features like the motion vectors. The main problem with this approach is the high order of computational complexity. In this paper we propose a novel gesture recognition technique based on projecting the temporal axis information onto the spatial plane. Then this spatial intensity image is fed to a machine learning classifier (SVM in our case) for recognition. We show that the proposed algorithm achieves an accuracy that is comparable to the current state of the art approaches, but with a (much) reduced computational burde
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