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5th International Conference on Advancements in Computational Sciences, ICACS 2024

作者： Alam, Abeera Farooq Tabassum, Maham Shabbir, Mubaraka Raza, Muhammad Ali Khan, Farhan Habib University Computer Engineering Program Karachi Pakistan Habib University Electrical Engineering Program Karachi Pakistan

ISBN: (纸本)9798350394764

In the realm of coal mining, safety and risk management stand as paramount challenges, underscored by the inherent perils like structural failures and the presence of hazardous gases such as methane. Recognizing the urgent need for enhanced safety measures, this paper introduces a novel system seamlessly integrating structural integrity assessment with gas concentration analysis to ascertain the warning level in coal mines. The core objective revolves around fortifying safety protocols by implementing effective monitoring and early warning systems. This multifaceted approach encompasses addressing potential hazards, preventing accidents, reducing environmental impact, and, above all, safeguarding the well-being of mine workers. The system, intertwining structural monitoring and gas concentration measurement, dynamically generates real-time risk assessments and alerts based on the integrated data. Against the backdrop of these intricate challenges, the research strives to propel substantial advancements in mining safety practices. By harnessing the capabilities of camera imagery, machine learning, and gas sensors, it envisions a future marked by elevated safety standards and a noteworthy reduction in incidents within coal mines. © 2024 IEEE.

关键词： Structural integrity

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Impact Analysis of Time-of-Use pricing enabled Electric Vehicle charging to the uncoordinated charging on a Distribution Network

Impact Analysis of Time-of-Use pricing enabled Electric Vehi...

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2023 IEEE Power and Energy Society General Meeting, PESGM 2023

作者： Sohail, Muhammad Abeer Khan, Rashna Mukhtar, Syed Hammad Usman, Ahmad Program Habib University Electrical and Computer Engineering Karachi Pakistan

ISBN: (纸本)9781665464413

Increased adoption of Electric Vehicles (EVs) result in appearance of high energy demand clusters in a distribution network. This has adverse effects on the distribution network resulting in voltage drop, increased losses, overloading of distribution feeders, transformers, and critical components. This results in degradation of power quality and network stability. In this work, a modified IEEE 13 bus system has been used to model and simulate 11 kV distribution grid using the actual network parameters, network topology, and an identified cluster region, based on the information from a distribution company in Pakistan. A scheduling strategy for EV charging using the the time-of-use pricing (ToUP) mechanism is devised and compared to the uncoordinated EV charging approach. The performance evaluation of these strategies for various degrees of EV penetration has been conducted and new challenges are identified. © 2023 IEEE.

关键词： Electric vehicles

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From light sensing to adaptive learning:hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing

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Light(Science & Applications) 2025年第1期14卷 215-226页

作者： Bashayr Alqahtani Hanrui Li Abdul Momin Syed Nazek El-Atab Electrical and Computer Engineering Program Computer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)ThuwalSaudi Arabia Electrical Engineering Department College of EngineeringPrincess Nourah Bint Abdulrahman University(PNU)RiyadhSaudi Arabia

Advancements in neuromorphic computing have given an impetus to the development of systems with adaptive behavior,dynamic responses,and energy efficiency *** charge-based or emerging memory technologies such as memristors have been developed to emulate synaptic plasticity,replicating the key functionality of neurons—integrating diverse presynaptic inputs to fire electrical impulses—has remained *** this study,we developed reconfigurable metal-oxide-semiconductor capacitors(MOSCaps)based on hafnium diselenide(HfSe2).The proposed devices exhibit(1)optoelectronic synaptic features and perform separate stimulus-associated learning,indicating considerable adaptive neuron emulation,(2)dual light-enabled charge-trapping and memcapacitive behavior within the same MOSCap device,whose threshold voltage and capacitance vary based on the light intensity across the visible spectrum,(3)memcapacitor volatility tuning based on the biasing conditions,enabling the transition from volatile light sensing to non-volatile optical data *** reconfigurability and multifunctionality of MOSCap were used to integrate the device into a leaky integrate-and-fire neuron model within a spiking neural network to dynamically adjust firing patterns based on light stimuli and detect exoplanets through variations in light intensity.

关键词： integrate volatile integrating

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Rate Distortion Analysis of Wavefield Coding in Wireless Geophone Networks 8th

Rate Distortion Analysis of Wavefield Coding in Wireless G...

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8th EAI International Conference on Smart Grid and Innovative Frontiers in Telecommunications, SmartGIFT 2024

作者： Khan, Hamood ur Rehman Khan, Farhan Sir Syed Center for Advanced Studies in Engineering Islamabad Pakistan Electrical and Computer Engineering Program Habib University Karachi Pakistan

ISBN: (纸本)9783031788055

Current and future trends in seismic acquisition point towards higher geophone densities (forecasted to be 1M nodes per survey). The geophones’ high operating precision and a sampling rate of a few milliseconds leads to a huge aggregate data rate in the geophone array. To handle this large data rate a hierarchy of multiplexed lines (including fiber optic cables) are used, resulting in substantial deployment costs. This work considers wireless geophone networks to mitigate these costs. Because of limited bandwidth of the wireless medium, compression of acquired data is needed. We assess lossy source coding (signal compression) performance using a rate-distortion tradeoff based on a physical model of the earth. The distortion criterion used is mean squared error. The earth’s physical model considered here consists of a randomly layered subsurface structure where the acoustic impedance of the earth varies as a homogeneous spatial random process. The rate distortion performance is assessed in terms of the parameters of this physical model e.g., the speed of sound underground and correlation length of acoustic impedance process. In comparison with previous work, this paper derives a closed form expression for the autocorrelation function for the reflection process for the 3D subsurface volume. We also show from the resulting rate-distortion curves that the compression performance improves both as the coding bock length increases and as the correlation length of the medium properties increases. The rate-distortion surface as a function of normalized MSE and sound of speed underground is also computed and validated through extensive simulations. © ICST Institute for computer Sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Signal distortion

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Sexism Identification in Tweets using BERT and XLM - Roberta 25

Sexism Identification in Tweets using BERT and XLM - Roberta

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25th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024

作者： Usmani, Maha Siddiqui, Rania Rizwan, Samin Khan, Faryal Alvi, Faisal Samad, Abdul Computer Science Program Dhanani School of Science and Engineering Habib University Karachi Pakistan

The rapid growth of social media platforms has led to an increase in offensive content, often targeting specific demographic groups. This paper focuses on identifying and categorizing sexism in tweets collected from various social media platforms. We address three tasks from the EXIST 2024 lab, involving the classification of tweets in English and Spanish. These tasks include binary classification for sexism identification, source intention categorization of sexist tweets, and multi-label classification for different facets of sexism. Our approach employs BERT multilingual and XLM-RoBERTa models, along with an ensemble technique to enhance prediction accuracy. We evaluate the models using both hard labels, determined by majority vote, and soft labels, based on class probabilities. © 2022 Copyright for this paper by its authors.

关键词： Tweets

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Design and Implementation of Smart Inertial Profilometer System for Road Quality Assessment 49

Design and Implementation of Smart Inertial Profilometer Sys...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Khan, Muhammad Aqib Tariq, Mohammad Hasan Ali, Ahsan Bakhtiar, Yabudullah Ahmed Kamal, Tariq Habib University Electrical and Computer Engineering Dsse Karachi Pakistan

ISBN: (纸本)9798350331820

Roads are one of the most essential element in maintaining the socioeconomic backbone of any region due to their facilitation of mobility, connectivity, social integration, and regional development. For growing urban cities like Karachi, Pakistan, accurate and precise monitoring of road health is vital for economic and infrastructural growth. This paper presents the design of a highly cost-effective, power-efficient, IoT-enabled Road Health Monitoring System (RHMS) for real-time quantification of the International Roughness Index (IRI). The study details the node architecture, including essential modules, sensors, and BMS, as well as their integration and deployment in the field. Results of the conducted experiment are presented for IRI calculation, power consumption, and device reliability. The developed system can be deployed on a large scale in dense urban regions with intricate transportation networks to realistically analyze road conditions, identify efficient routes, and address repair demands, thereby enabling the construction of sustainable socio-political policies for urban planning. © 2023 IEEE.

关键词： Cost effectiveness

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Hardware-in-Loop-enabled Controller Design for Isolated Boost Converter using Ziegler-Nichols Method for Electric Vehicle Applications 49

Hardware-in-Loop-enabled Controller Design for Isolated Boos...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Bharmal, Arwa Hasnain Khan, Manaal Dilawar, Agha Ali, Ahsan Baig, Saad Umer Makda, Ishtiyaq Ahmad Usman, Ahmad Qamar, Haleema Habib University Electrical and Computer Engineering Dsse Karachi Pakistan

ISBN: (纸本)9798350331820

The paper presents the design of a controller for an Isolated DC-DC Boost Converter with voltage doubler (IBVD) topology, utilizing the Ziegler-Nichols (ZN) tuning method. The presence of load variations and disturbances in the power electronic converters used in Electric Vehicles (EV) necessitates the use of a controller to ensure stable operation. Moreover, achieving a smooth and safe driving experience requires improvements in the transient response. This work address these challenges by demonstrating an efficient controller design for voltage regulation. To validate its effectiveness, the controller is tested using FPGA-enabled hardware-in-loop (HIL) technique, where the controller is implemented on the FPGA while the converter operates in a simulated environment using MATLAB Simulink. The results demonstrate that the controller successfully achieves the desired steady state and transient output both for stable operation and load variations. © 2023 IEEE.

关键词： Controllers

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Team Sharingans at SimpleText: Fine-Tuned LLM based approach to Scientific Text Simplification 25

Team Sharingans at SimpleText: Fine-Tuned LLM based approach...

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25th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF 2024

作者： Ali, Syed Muhammad Sajid, Hammad Aijaz, Owais Waheed, Owais Alvi, Faisal Samad, Abdul Computer Science Program Dhanani School of Science and Engineering Habib University Karachi75290 Pakistan

This paper reports habib university's Team Sharingans' participation in the CLEF 2024 SimpleText track, which aims to simplify scientific texts for improved readability and comprehension for non-experts. Our goal is to use state-of-the-art language models for simple yet accurate explanations of scientific texts for the general public. Our solution is based on a multi-step approach utilizing the GPT-3.5 model to solve Tasks 1, 2, and 3 i.e. passage extraction, identification and explanation of difficult concepts, and summarization. Our approach for Task 1 involved sentence embedding-based vector database for narrowing the corpus, MS-Marco for document ranking, and GPT-3.5 for selecting informative passages. For Task 2, we fine-tuned the GPT-3.5 model to identify and explain difficult terms and generate explanations. For Task 3 also, we fine-tuned the GPT-3.5 model with a specific prompt to simplify given scientific abstracts and sentences. The effectiveness of our approach was assessed based on the quality of results, demonstrating the potential of advanced language models in making scientific education more accessible to the general public. Our solution proposes using fine-tuned large language models as a reliable source for scientific education. © 2024 Copyright for this paper by its authors.

关键词： BERT Elastic Search GPT-3.5 Turbo Large Language Models SimpleText Text simplification

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A Comparative Survey of Solutions to Russel's Paradox 4

A Comparative Survey of Solutions to Russel's Paradox

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4th International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2023

作者： Rubab, Fizza Hafeez, Shamsa Qazi, Muhammad Hasham Syed, Mujtaba Hassan Azeemi, Badar Irfan Kayani, Aeyaz Jamil Habib University Computer Science Karachi Pakistan Habib University Electrical Engineering Karachi Pakistan Habib University Integrated Sciences and Mathematics Karachi Pakistan

ISBN: (纸本)9798350335316

This comparative study examines various solutions to Russel's Paradox, a well-known problem in set theory first identified by Bertrand Russell in 1901. The paradox arises from the question of whether a set can be a member of itself. This study compares and contrasts the different solutions proposed by various mathematicians and logicians, including Theory of Types, Zermelo-Fraenkel set theory, von Neumann-Bernays-Gödel set theory, and Paraconsistent set theory and Fuzzy set theory. The study also examines the pros and cons of each of these proposed solutions and suggests the reason why Zermelo- Frankael Set theory seems to be the simplest and most-suited solution to Russel's paradox as compared to others. © 2023 IEEE.

关键词： Fuzzy set theory

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A Monitoring and Warning System for Hazards in Coal Mines using CNN and Sensor Fusion

A Monitoring and Warning System for Hazards in Coal Mines us...

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International Conference on Advancements in Computational Sciences (ICACS)

作者： Abeera Farooq Alam Maham Tabassum Mubaraka Shabbir Muhammad Ali Raza Farhan Khan Computer Engineering Program Habib University Karachi Pakistan Electrical Engineering Program Habib University Karachi Pakistan

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