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2022 International Conference on Business Analytics for technology and Security, ICBATS 2022

作者： Ali, Atif Qasim, Muhammad Dilawar, Malik Usman Khan, Zulqarnain Fareed Jadoon, Yasir Khan Faiz, Tauqeer Pmas Arid Agriculture University School of Computer Science Rawalpindi Pakistan Cardiff University United Kingdom Sir Syed Case Institute of Technology School of Computer Science Islamabad Pakistan University of Karachi Department of Criminology Karachi Pakistan Hitech University Taxila Pakistan Skyline University College School of Information Technology Sharjah United Arab Emirates

ISBN: (纸本)9781665409209

Nanorobotics is a scientific discipline gaining in popularity due to the numerous possibilities it provides. Materials science, space exploration, ecology, information technology, electronics, and communications are just a few of the domains where nano-robots can be used. Military weaponry and applications, on the other hand, are being transformed by these new nanorobotics applications. As a result, after a brief introduction to nanoworld theory, the remainder of this article focuses on military applications. The most recent breakthroughs in the military application of nanorobots have been summarised in this report. Military nanotechnologies have been suggested as more devastating weapons than nuclear weapons for the entire planet, with the potential for application in all military locations, due to their fundamentally revolutionary benefits. © 2022 IEEE.

关键词： Microelectronics

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Emergence of Advanced Multi-Terminal HVDC Transmission Systems and DC Grids 6

Emergence of Advanced Multi-Terminal HVDC Transmission Syste...

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6th International Multi-Topic ICT Conference, IMTIC 2021

作者： Ud Din, Ghulam Muhay Husain, Nusrat Arfeen, Zeeshan Ahmad Yahya, Ashraf Iqbal, Najeeb Shaukat, Fawad Electronics Power Engineering Department Islamabad Pakistan Universiti Teknologi Malaysia The Islamia University of Bahawalpur School of Electrical Engineering Bahawalpur Pakistan Sir Syed University of Engineering and Technology Electrical Engineering Department Karachi Pakistan

ISBN: (纸本)9781665482943

The transfer of bulk electrical power over long distances can be done by high voltage alternating current (HV AC) transmission systems. These HV AC power transmission systems have their perfections and imperfections. To enhance the existing power transmission systems, high voltage direct current (HVDC) power transmission systems are a sustainable solution. The emergence of advanced HVDC systems is so rapid that they are replacing their counterpart HV AC systems in many parts of the world. In this paper, the prominence of modern HVDC power transmission systems is highlighted. The topologies, converter assortments, contrasts, and modeling methods are discussed. The renewable energy sources (RES) including solar photovoltaic (PV) parks and mainland/ onshore/ offshore wind farms can be assimilated into the existing AC grids via advanced HVDC converters. The perceptions of multi-terminal HVDC systems and DC grids are presented, whereas, the challenges concomitant with the future DC grids are also emphasized. © 2021 IEEE.

关键词： Electric power transmission networks

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Frameworks, Applications and Challenges in Streaming Big Data Analytics: A Review

Frameworks, Applications and Challenges in Streaming Big Dat...

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Innovations in computer Science & Software engineering (ICONICS), International Conference on

作者： syed Muhammd Nabeel Mustafa Muhammad Umer Farooque Muhammad Tahir Shariq Mahmood Khan Rohail Qamar Dept. of Computer Science & I.T NED University of Engineering and Technology Karachi Pakistan Dept. of Software Engineering Sir Syed University of Engineering and Karachi Pakistan

Data output has increased dramatically in the twenty-first century. The speed at which data is introduced into the stream has increased as a result of the digitization of practically all industries. Big data refers to this enormous amount of data. A complex network of data with volume, velocity, diversity, authenticity, and value makes up this information. To derive useful insights from the data, it became necessary to examine the data. The term "streaming Big data" refers to data that changes very quickly. Big data analytics that are live or streaming have significantly improved analytics. Instantaneous analytics of the real-time data are provided by streaming big data analytics, assisting the decision-makers. Big data analytics in real-time has taken center stage in business. We thoroughly examine the phenomenon of streaming Big data analytics in this review study. We also look at the various streaming analytics frameworks in use. Additionally, we look into the fields in which streaming Big Data analytics are applied as well as the difficulties encountered.

关键词： Transportation Medical services Big Data Real-time systems Smart grids Internet of Things Sparks

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Mango Farming Optimization With AI: Boosting Cultivation Efficiency

Mango Farming Optimization With AI: Boosting Cultivation Eff...

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Computing and Information technology (ICCIT-1441), 2020 International Conference on

作者： syed Umaid Ahmed Mohammad Rafay Khan Muhammad Emmad Siddiqui Department of Computer Sciences National University of Computer & Emerging Sciences (FAST) Karachi Pakistan Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Department of Industrial & Manufacturing Engineering NED University of Engineering and Technology Karachi Pakistan

Mangoes have long played an important role in global import and export, but a fall in mango commerce has been seen over the past few years, preventing producers from meeting market demand. The predominant cause of this loss is the prevalence of mango tree disease, which finally transforms healthy and fruitful mango orchids into low-yield varieties. Our proposed approach offers a "Mango Leaf Health Detection Dataset" for mango tree health detection. The dataset has been validated and tested with YOLO v5s, YOLO v7, and YOLO v8s. The YOLO Algorithm analyzes the image of the leaf by passing it through a pipeline consisting of redefining the image in grid cells, constructing bounding boxes, and predicting the class. This not only saves time, but also delivers accurate and effective results, thereby designating the area of the orchid where pesticide must be treated. Our trained YOLO v7 detection video can be found ${\color{Blue}\text{here}}$, and the dataset used can be accessed ${\color{Blue}\text{here}}$.

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Anti Depression and Anti Suicidal Application 2

Anti Depression and Anti Suicidal Application

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： Mustafa, syed M. Nabeel Zaki, Hassan Alam, Shahzaib Khan, Muhammad Shahbaz Zafar, Hassaan Sir Syed University of Engineering and Technology Software Engineering Department Karachi Pakistan

ISBN: (纸本)9781728168999

Depression is the mood disorder which causes change in the thinking of the human. A depressed person starts thinking negative and overthinks about the bad events of life. Depression leads to suicide. Depression is the major reason of high suicidal rate in the world. Depression is curable. The person suffering from depression have to undergo traditional clinical therapies, which are time taking and are slow in giving the results. Anti depression and Anti Suicidal application replaces the old clinical cure of depression by giving therapies using neuro linguistic programming. Equipped with powerful feature of emotion detection using Microsoft cognitive services, Anti Depression and Anti Suicidal aims to give accurate therapies to user to help them fight the depression. © 2020 IEEE.

关键词： Linguistics

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CABTAB -A Factual Analysis Concerned with Travelling Issues, Specifically for An Organization 2

CABTAB -A Factual Analysis Concerned with Travelling Issues,...

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： syed, Abeer Javed Saba, Sara Zain-Ul-Abideen Noman, Muhammad Talib, Adnan Sir Syed University of Engineering and Technology Department of Software Engineering Karachi Pakistan

ISBN: (纸本)9781728168999

In this advanced time, innovations have been indulged deeply and has brought draconian change in one's lifestyle, adding with it the current era of technologies-network connectivity and Wi-Fi connections has raised an extensive platform which has risen to on-demand services like Ridesharing. Being inclined by the Ridesharing /Carpooling App-based services such as Easy Taxi, Metro Cab, etc. which superintends bookings by means of Request. Uber, one of the most leading competitors in the ridesharing business have grabbed a traction on the market and serving citizens effectively but the underlying contest is none of them workings contained by a distinct association. Therefore, we have portrayed the concept of ridesharing for an organization, an IOS Application version 12.3.1, XCode 9 as an IDE for the coding of the Application. For our endeavor contemplating the present database which will be administered across MySQL and Firebase for real-time that supports student/teachers to acquiesce their request and within moments unites you with the driver. Front-end devised on WordPress and Servers will be connected using PHP Web Servers. We are considering Algorithms of Careem, Uber for supervision of the ride's charge and the perception of E-Wallet has also been gathered whose set of rules will be designed. We hope to lay such a groundwork to make better appreciate that how this alternative can diminish the proportion of transit systems and upcoming augmentations may start it on Android Application with more upgradations. © 2020 IEEE.

关键词： Web services

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Safeguard Identification-Safety as an Essential Aspect 2

Safeguard Identification-Safety as an Essential Aspect

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2nd International Conference on Information Science and Communication technology, ICISCT 2020

作者： Ashar, Muhammad Usama, Muhammad Khan, Zargham Ashraf, Sitwat Agha, Dur-E-Shawar Sir Syed University of Engineering and Technology Department of Software Engineering Karachi Pakistan

ISBN: (纸本)9781728168999

As technology has brought a drastic change in the lives of human and adaptions to these technologies has risen to the peak, as we all are familiar with the concept of object detection which has brought an extraordinary ease in many of the fields of computer as well as in industry. Many of the researches are being done on it and still in process but it is not implemented for the purpose of industrial safety. Therefore, being embolden by the idea of object detection we have introduced our idea comparable to it known as 'Safeguard Identification', a model designed for safety purpose of the employees working in an industry where safety is a fundamental approach. Our model comprises of a camera which is trained for image classification and object detection from a Custom model using Tensorflow Object Detection API. For our project we have used MySql database for maintaining the data of workers. Future upgrades may lead this project by generating safety alerts on the phones of the individuals or by adding more features like detecting workers smoking in a prohibited area. © 2020 IEEE.

关键词： Object detection

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Robust Feature engineering Techniques for Designing Motor Imagery-Based Bci Systems

SSRN

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SSRN 2025年

作者： Gardezi Ahmed, syed Saim Khan, Mahnoor Bukhari, syeda Muneeba Khan, Rizwan Ahmed Jawed, Soyiba Department of Biomedical Engineering Faculty of Engineering Salim Habib University Karachi Pakistan Department of Computer Software Engineering College of Electrical and Mechanical Engineering NUST Islamabad Pakistan Department of Physics Faculty of Applied Sciences Riphah International University Islamabad Pakistan Department of Biomedical Engineering Faculty of Engineering NED University Karachi Pakistan Department of Computer Science Faculty of Information Technology Salim Habib University Karachi Pakistan

A multitude of individuals across the globe grapple with motor disabilities. Neural prosthetics utilizing Brain-computer Interface (BCI) technology exhibit promise for improving motor rehabilitation outcomes. The intricate nature of EEG data poses a significant hurdle for current BCI systems. Recently, a qualitative repository of EEG signals tied to both upper and lower limb execution of motor and motor imagery tasks has been unveiled. Despite this, the productivity of the Machine Learning (ML) Models that were trained on this dataset was alarmingly deficient, and the evaluation framework seemed insufficient. To enhance outcomes, robust feature engineering (signal processing) methodologies are implemented. A collection of time domain, frequency domain, and wavelet-derived features was obtained from 16-channel EEG signals, and the Maximum Relevance Minimum Redundancy (MRMR) approach was employed to identify the four most significant features. For classification K Nearest Neighbors, Support Vector Machine, Decision Tree, and Naive Bayes models were implemented with these selected features, evaluating their effectiveness through metrics such as testing accuracy, precision, recall, and F1 Score. By leveraging SVM with a Gaussian Kernel, a remarkable maximum testing accuracy of 92.50% for motor activities and 95.48% for imagery activities is achieved. These results are notably more dependable and gratifying compared to the previous study, where the peak accuracy was recorded at 74.36%. This research work provide an in-depth analysis of the MI Limb EEG dataset and it will help in designing and developing simple, cost-effective and reliable BCI systems for neuro-rehabilitation. © 2025, The Authors. All rights reserved.

关键词： Image enhancement

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Underwater Channel Characterization for Effective Communication Link 3

Underwater Channel Characterization for Effective Communicat...

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3rd International Conference on Computing, Mathematics and engineering Technologies, iCoMET 2020

作者： Shaikh, Hammad Nadeem, M. Asim Yasir Zaheen, Muhammad Khan, Abid Muhammad Rauf, Muhammad Sir Syed University of Engineering and Technology Electronic Engineering Department Karachi Pakistan

ISBN: (纸本)9781728149707

Generating effective communication links in an offshore environment is a vital need for the oil and gas industry as well as the military domain. The highly conductive medium of the environment is yet the biggest hurdle to develop the channel. Focusing towards the challenges lies in underwater communication channel, this paper first presents an efficient transmitter and receiver design using the conduction current method. Subsequent to the design development, a comparative analysis is presented that can be used to model an optimum underwater communication channel through electromagnetic conduction. Effect of different channel characterization parameters is discussed such as conductivity, frequency and transmitter and receiver antenna separation. Through an efficient circuit design for transmitter and receiver, increasing frequencies increased the signal strength is proved. Further statistical analysis revealed that in the developed experimental setup, 100 kHz has a greater possibility in designing an efficient demodulation circuit design. The promising results have proved the possibilities in way forward for the technology. © 2020 IEEE.

关键词： Transmitters

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Adaptive Control Design for Robust Quality Control of an Online Checkweighing and Rejection System

Adaptive Control Design for Robust Quality Control of an Onl...

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IEEE Conference on Systems, Process & Control (ICSPC)

作者： Narmeen Aamir syed Muhammad Sabih Masood Rasheed Abid Department of Electrical & Computer Engineering Illinois Institute of Technology Chicago Illinois Department of Electrical Engineering NED University of Engineering & Technology Karachi Pakistan Department of Biomedical Engineering Illinois Institute of Technology Chicago Illinois

ISBN: (数字)9798350391398

ISBN: (纸本)9798350391404

In modern process industries, maintaining precise weight measurements is critical for ensuring product quality and operational efficiency. Accurate weight measurement systems not only aid in meeting regulatory standards but also play a crucial role in minimizing waste and optimizing production processes. This paper provides an overview of an online checkweighing system installed in a process industry and introduces an adaptive control algorithm that calculates the running average of box weights using the Simple Moving Average (SMA) algorithm. This average is applied recursively to account for the impact of process parameter variations, such as temperature or density, on the accuracy of the checkweighing and rejection system. The proposed algorithm was successfully implemented to verify product count and detect underweight and overweight conditions in packed products. The results show that the rejection accuracy of the proposed algorithm is unaffected by weight variations caused by process variables, unlike the existing control algorithm, which could only accommodate weight variations within the limits of a single soap bar weight.

关键词： Weight measurement Industries Accuracy Process control Quality control Production Throughput Quality assessment Adaptive control Standards

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