1,168 research outputs found
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
Get PDFIrrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
QoT Estimation for Light-path Provisioning in Un-Seen Optical Networks using Machine Learning
Get PDFWe propose the use of machine-learning based regression model to predict the quality of transmission (QoT) of an un-established lightpath (LP) in an un-seen network prior to its actual deployment, based on telemetry data of already established LPs of different network. This advance prediction of the QoT of un-established LP in an un-seen network has a promising factor not only for the optimal designing of this network but also enables the possibility to automatically deploy the LPs with a minimum margin in a reliable manner. The QoT metric of the LPs are defined by the Generalized Signal-to-Noise Ratio (GSNR) which includes the effect of both Amplified Spontaneous Emission (ASE) noise and Non-Linear Interference (NLI) accumulation. In the response of present simulation scenario, the real field telemetry data is mimicked by using a well reliable and tested network simulation tool GNPy. Using the generated data set, a machine-learning technique is applied, demonstrating the GSNR prediction of an un-established LP in an unrevealed network with maximum error of 0.53 dB
Pengaruh al-Quran terhadap kesediaan Imam Bilal Muda UTM dalam menyumbang kepada ummah / Muhammad Dhiauddin Ahmad Termizi and Abdul Hafiz Abdullah
Get PDFSejak al-Quran diturunkan kepada umat manusia, pengaruh yang dibawanya dalam mencorakkan manusia daripada pelbagai aspek tidak dapat disangkal lagi. Sehubungan itu, timbul persoalan sejauh mana kesan atau pengaruh al-Quran terhadap imam dan bilal muda UTM dalam usaha mereka berkhidmat kepada masyarakat. Justeru, kajian ini dijalankan untuk menjawab persoalan tersebut. Kajian ini menggunakan kaedah kuantitatif dengan seramai 27 orang calon imam dan bilal muda UTM sebagai responden. Setelah dianalisis, didapati imam dan bilal muda UTM mempunyai hubungan yang baik dengan al-Quran. Mereka juga bermotivasi dan bersedia untuk menyumbang khidmat kepada masyarakat di UTM dan kawasan sekitarnya. Selain itu, analisis korelasi Pearson mendapati hubungan yang kuat antara hubungan responden dengan al-Quran dan kesediaan mereka untuk berkhidmat kepada ummah. Akhir sekali, diharapkan kajian ini mampu memberikan kesedaran kepada banyak pihak akan kepentingan al-Quran sebagai sumber inspirasi bagi manusia
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
ProofChain: An X.509-compatible blockchain-based PKI framework with decentralized trust
No full textPublic Key Infrastructure (PKI) is the most widely accepted cryptography protocol to enable secure communication over the web. PKI comprises digital certificates managed by the certificate authorities (CAs) to verify the user's identity, thus providing secure communication channels. However, the security of PKI is profoundly reliant on the reliability of these third-party CAs, which serves as a single point of failure for PKI. Over the past, there have been several incidents of popular CA breaches, where the centralized operation model of CAs caused numerous targeted attacks due to the spread of rogue certificates. In this paper, we aim to make the CA pool completely decentralized and concurrently build our decentralized solution cooperative with established PKI standards (i.e., X.509) for effective real-world integration. In particular, we harness blockchain technology to propose a decentralized PKI framework named ProofChain, which provides complete trust among a decentralized group of CAs. Our proposed solution provides all the traditional X.509 PKI operations (i.e., registration, validation, verification, and revocation), making it compatible with existing PKI standards. We have also evaluated ProofChain against popular security standards (i.e., the CIA triad model) and PKI adversarial attacks. Besides, to demonstrate the practicality of our proposed system, we have also evaluated the performance of the ProofChain by implementing it on the private testbed of the Ethereum network across various real-world PKI scenarios
Cross-feature trained machine learning models for QoT-estimation in optical networks
Get PDFThe ever-increasing demand for global internet traffic, together with evolving concepts of software-defined networks and elastic-optical-networks, demand not only the total capacity utilization of underlying infrastructure but also a dynamic, flexible, and transparent optical network. In general, worst-case assumptions are utilized to calculate the quality of transmission (QoT) with provisioning of high-margin requirements. Thus, precise estimation of the QoT for the lightpath (LP) establishment is crucial for reducing the provisioning margins. We propose and compare several data-driven machine learning (ML) models to make an accurate calculation of the QoT before the actual establishment of the LP in an unseen network. The proposed models are trained on the data acquired from an already established LP of a completely different network. The metric considered to evaluate the QoT of the LP is the generalized signal-to-noise ratio (GSNR), which accumulates the impact of both nonlinear interference and amplified spontaneous emission noise. The dataset is generated synthetically using a well-tested GNPy simulation tool. Promising results are achieved, showing that the proposed neural network considerably minimizes the GSNR uncertainty and, consequently, the provisioning margin. Furthermore, we also analyze the impact of cross-features and relevant features training on the proposed ML models’ performance
Evaluating Cross- feature Trained Machine Learning Models for Estimating QoT of Unestablished Lightpaths
Get PDFThe rapid increase in bandwidth-driven applications has resulted in exponential internet traffic growth, especially in the backbone networks. To address this growth of internet traffic, operators always demand the total capacity utilization of underlying infrastructure. In this perspective, precise estimation of the quality of transmission (QoT) of the lightpaths (LPs) is vital for reducing the margins provisioned by uncertainty in network equipment's working point. This article proposes and compares several data-driven Machine learning (ML) based models to estimate QoT of unestablished LP before its deployment in the future deploying network. The proposed models are cross-trained on the data acquired from an already established LP of an entirely different in-service network. The metric considered to evaluate the QoT of LP is the Generalized Signal-to-Noise Ratio (GSNR). The dataset is generated synthetically using well tested GNPy simulation tool. Promising results are achieved to reduce the GSNR uncertainty and, consequently, the provisioning margin
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No full textNisar Ahmad-Essay-The Role of Stereotypes in the Development of the Female Personality. pp. 1-2; M. Moazzam Zubair-Essay-By Love Serve One Another. pp. 3; Jehanzeb Anwar-Essay-A Great Escape. pp. 4-5; Ahmed Ilyas Butt-Essay-War: A Solution for Peace. pp. 6-7; Fatima Zahra-Essay-Proliferation of Electronic Media and Youth. pp. 8; M. Imran-Essay-Environmental Pollution and Our Responsibility. pp. 9; Muiz Junaid Khan-Essay-Intelligence. pp. 10; Safa Aleem-Essay-A Wake-up Call. pp. 11; Fareeha Tahir-Essay-Karo Kari: The Cruelest Reality in Pakistan. pp. 12-13; Adnan Farooqui-Essay-Democracy. pp. 14; Riaz Akbar-Essay-Politics: a Dirty Game or a Human Necessity? pp. 15-16; Mujtaba Chaudhry-Essay-Emancipation of Women. pp. 17; Adeel Riaz-Essay-The Unheard Miseries of Bonded Laborers. pp. 18-19; Nazeef Ishtiaq-Essay-Pakistan Today. pp. 20; Muhammad Adeel-Short Story-Broken Threads. pp. 21-23; Tehreem Fatima-Short Story-But Still. pp. 24; Naima Fatima-Short Story-Once Upon a Time. pp. 25-26; Syed Irfan Haider Shah-Short Story-By The Riverside, I Sat and Wept! pp. 27-28; Faiqa Javed-Short Story-Ghosts. pp. 29; M. Bilal Aslam-Short Story-A Mysterious Night. pp. 30-31; Sabrina Asim-Short Story-A Dismal Encounter. pp. 32; Umair Vahidy-Short Story-Uncertain Ambiguities. pp. 33-36; Jahanzaib Aslam-Interview-Jamsheed Marker. pp. 37-43; U. Vahidy, H. Aslam-Interview-Cecil Chaudhry's Interview. pp. 44-48; N. Ahmad, K. Shah-Interview-Muhammad Junaid. pp. 49-51; N. Ishtriaq, U. Vahidy-Interview-Qazi Laeeque Ahmed. pp. 52-56; S. Aleem, S. Ahmad-Interview-Bilal Bajwa. pp. 57-58; M. Mesam Ismail-Reflections-Loneliness. pp. 59; Haya Fatima-Reflections-I Love to Fantasize. pp. 60; Jahanzeb Anwar-Reflections-A Faith for the Faithless. pp. 61; Fizza Ali Shah-Reflections-Where Are We Heading To. pp. 62; Rabia Shad-Reflections-Need of Revolution. pp. 63; Mariam Iqbal-Reflections-An Extract from a Mother�s Diary. pp. 64; Ali Abbas-Reflections-Sense of Responsibility. pp. 65; Sabrina Asim-Reflections-Painting in Words. pp. 66; Dr. Waseem Anwar-Poetry-Reading Between Silences. pp. 67; Muhammad Adeel-Poetry-The Hand. pp. 67; Nauman Ahmad-Poetry-Fragrance, Piercing Through My Heart. pp. 68; Shumyila Imam-Poetry-Human Right. pp. 68; M. Y. Sandhu-Poetry-To the Mausoleum. pp. 69; Mumtaz Hussain Kherani-Poetry-The Real Inventor. pp. 69; Shakeel Fiaz-Poetry-God Almighty. pp. 70; Jahanzaib-Poetry-My Mother. pp. 70; Ahmed Ilyas Butt-Poetry-A Walk in the Park. pp. 70; Tajwar Ali Buber-Poetry-My Craze. pp. 70; Samra Zafarullah-Poetry-How can we Forget? pp. 71; Tanzeel Ahmad Khan Niazy-Poetry-My Daddy. pp. 71; Toqeer Ahamad Wazir Gilgity-Poetry-Heart and Mind. pp. 71; Faisal Nizami-Poetry-I am... pp. 71; Basit Zafar-Poetry-Lord! pp. 72; Nauman Ahmad-Poetry-I Try Reaching You. pp. 72; Muiz Khan-Poetry-Untitled. pp. 72; Warda Tahseen-Poetry-I am Not a Perfect Girl. pp. 72; Nisar Ahmed-Poetry-Chaos. pp. 73; Furqan Farukh-Poetry-I'll Die Another Day. pp. 73; Nisar Ahmed-Poetry-Secret Joy. pp. 74; Jahangir Jan Khokhar-Poetry-I Want To. pp. 74; Arman Ahmed-Poetry-On the Edge of Dreaming. pp. 74; Professor Arif Qureshi-Poetry-Mother, O' Dear Mother! pp. 74; Furqan Farrukh-Poetry-Love at First Sight. pp. 75; Faisal Karim Nomali-Poetry-Hazrat Muhammad (P.B.U.H.). pp. 75; Saad Akmal-Poetry-Laid Forgotten. pp. 75; Zamzam Rizvi-Poetry-A Lonely Island. pp. 76; Jahanzaib Aslam-Poetry-O My Beloved! pp. 76; Society Reports. pp. 77-80; [Urdu]. 80 p.Mr Jamsheed Marker. before page 37; Mr Cecil Chaudhry. after page 48; Qazi Laeeque Ahmed. after page 56; Mr Bilal Bajwa. before page 57; Presidents 2009-2010. after page 76; FCC Dramatic Club. before page 77; 20 pages covering different activities at FC, i.e. Alumni Reunion, Commencement, Honors Convocation, Drama, Class of 2010, Sports, Debates and Societies. after page 80; Professor Dr Agha Sohail. before page 7 Urdu section; Professor Dr Ehson Raza Khan. before page 15 Urdu sectio
Conversion of African Americans to Islam : a sociological analysis of the Nation of Islam and associated groups
Get PDF'Conversion of African Americans to Islam: A Sociological Analysis of the Nation of
Islam Associated groups' is an empirical study of the religious experience of people
who had/have distinctive features in terms of race, ethnicity and historical experience.
The purpose of this thesis is to demonstrate how African Americans' (AAs) conversion
experience in general, and the Nation of Islam associated groups' conversion in
particular, differ from the studies of recruitment and conversion in the sociology of
religion and New Religion Movements (NRMs). More specifically, their recruitment
and conversion experiences to Islam diverge from those who converted to mainstream
Islam. The study investigates how AAs' historical experience, soci-economic
difficulties and the racism they encountered shaped and influenced their religious
understanding.
Research methods involved participant observations, a survey questionnaire, interviews,
conversations, personal communications and correspondence. To collect ethnographic
data eleven months field research was conducted mainly in the Chicago area and on two
short visits to Detroit, and three years continued communications with Muslim officials
and academics in the area. During the field research and afterwards through personal
communication 181 survey questionnaire responses were received, and 23 Muslim
officials, academics and ordinary Muslims were interviewed through semi-structured,
unstructured interviews, conversation and correspondence.
The thesis begins with a brief history of Islam and Muslims in general and the African
American Muslims (AAMs) in particular. More emphasis is given on the historical
development of the Nation of Islam (NOl). Then in Chapter III, discussions of schisms
in the history of the NOT are examined from sociological perspectives of social and
religious movements. In Chapter IV I aimed to formulate my own perspective to
analyse and study the conversion experiences of AAMs to Islam. I used a multivariate
approach, considering selectively widely held conversion and recruitment theories in the
sociology of the religion. I consider in Chapter V the predisposing conditions for AAMs
that influence their decision-making to join in the NOT, for example, political and
nationalistic sentiments and socio-economic deprivations. In Chapter VI I have applied
different terms to describe their religious experiences, such as conversion, alteration and
reversion. I have analysed further their encounters with the NOT, the methods of
recruitment they used and their major motives for joining the NOT and converting to
Tslam. In the concluding chapters (Chapter VII VTTT) I describe the different responses
of AAMS to Islam following the death of Elijah Muhammad. It is found out that the
Islamic appeal has polarised. While Farakhan's NOT appeared to continue the tradition
and style of the old NOI with the emphasis on nationalistic and socio-economic factors,
Tmam W. D. Mohammed's community turned more to the religious and spiritual aspects
of Tslam. These different approaches led to a polarisation of the appeal of Tslam to
AAMS.
This thesis contributes to knowledge in four key areas; the sociology of religion and
religious movements, the sociology of social and nationalistic movements, religious and
Islamic studies
Dataset: Efficientnet-based robust recognition of peach plant diseases in field images
No full textThe dataset consists of field images captured from healthy and diseased peach fruits and leaves. If you use this dataset in your research, please consider citing the below article. Thank youFarman, Haleem, Jamil Ahmad, Bilal Jan, Yasir Shahzad, Muhammad Abdullah, and Atta Ullah. "Efficientnet-based robust recognition of peach plant diseases in field images." Comput. Mater. Contin 71 (2022): 2073-2089.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV
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