2021 6th International Multi-Topic ICT Conference (IMTIC)最新文献

Reducing Impact of Doppler Effect by Employing Distributed Compressive Sensing 采用分布式压缩感知降低多普勒效应的影响

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719817

Syed Zaka Haider, Omer Rasheed, F. Kulsoom, Hassan Nazeer Chaudhry

引用次数: 1

Impacts of Converting Overhead Distribution Network of 132/11.5 kV Qasimabad Grid Station Into Underground Distribution Network 132/11.5 kV卡西马巴德并网站架空配电网改地下配电网的影响

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719834

A. A. Memon, Shahryar Ghirana, Abdul Rahim Junejo, Muhammad Fahad Memon, M. H. Baloch

{"title":"Impacts of Converting Overhead Distribution Network of 132/11.5 kV Qasimabad Grid Station Into Underground Distribution Network","authors":"A. A. Memon, Shahryar Ghirana, Abdul Rahim Junejo, Muhammad Fahad Memon, M. H. Baloch","doi":"10.1109/IMTIC53841.2021.9719834","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719834","url":null,"abstract":"In this research paper a load flow model of an existing overhead network of 132/11.5 kV at Qasimabad grid station has been developed through Electrical transient analyzer program (ETAP). Through the simulations, current distribution losses and voltage regulation have been computed. Then an efficient model has been developed through ETAP in which current overhead 11.5kV distribution feeders are replaced by 11.5kV underground distribution feeders. In underground power distribution network, aluminum conductor steel reinforced (ACSR) overhead lines are replaced by cross linked polyethylene (non mag) cables keeping other all parameters same. Then effects of underground cables on 132/11.5 kV at Qasimabd grid station is determined. Results shows that if current power distribution network of the grid is converted into underground power network active distribution power losses can be reduced about 71.53% and reactive distribution power losses can be reduced about 74.91 %. Likewise, voltage drop in the lines can also be reduced at greater extent.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129483173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aspects of Security for Accelerating Artificial Intelligence inside Internet of Things Centric Distributed Storage Network 加速以物联网为中心的分布式存储网络内人工智能的安全问题

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719866

Fawad Mustafa, Murtaza Hussain Shaikh

{"title":"Aspects of Security for Accelerating Artificial Intelligence inside Internet of Things Centric Distributed Storage Network","authors":"Fawad Mustafa, Murtaza Hussain Shaikh","doi":"10.1109/IMTIC53841.2021.9719866","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719866","url":null,"abstract":"The centricity of in-network storage is a methodology that allows the generated sensor data readings to be stored in slices, known as data fragments. Within the sensor network, fragments are stored at various storage nodes. As a result, the data is more secure. The IoT network shows failures and unauthorized admittance to the users. The role played, herein, by the storage nodes make them prone to various security attacks. In this research work, the preliminary investigation and the methods to employ to provide the solution for security and privacy problems in distributed sensor network storage. Deep learning technologies that are already in use in ioT contexts cannot assign compute tasks reasonably which leads to resources wasting. Artificial intelligence is made up of capabilities that assist gadgets in learning and processing information in the same way that people do. A quantifiable blend of artificial intelligence with the internet of things, popularly known as AAIoT, is something that is holding a promise of a more connected future. This article proposes an AAIoT based method for allocating each network layer's inference computation in a multi-layer internet of things system to each device This is, to the best of my knowledge, the first attempt to track down this criminal. When considering the cost of computing and communication, the design of this study effort is a programming algorithm to lower the response time. The simulation findings demonstrate that a method could improve the system's response time significantly.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124310094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Paradigm Shift of Machine Learning to Deep Learning in Side Channel Attacks - A Survey 侧信道攻击中机器学习向深度学习的范式转变——综述

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719689

Mehwish Shaikh, Q. Arain, Salahuddin Saddar

{"title":"Paradigm Shift of Machine Learning to Deep Learning in Side Channel Attacks - A Survey","authors":"Mehwish Shaikh, Q. Arain, Salahuddin Saddar","doi":"10.1109/IMTIC53841.2021.9719689","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719689","url":null,"abstract":"A side-channel attack is a sort of computer security attack depending on data obtain from program implementation rather than flaws in the program itself. Additional data sources that might be exploited include timing data, power consumption, electromagnetic leakage, and even sound. Since the 1990's, when side channel attacks were first introduced, a lot of effort is done in improving their effectiveness and efficiency. Many machine learning methods were designed for side-channel attacks. The researchers have recently noticed a growing trend in the SCA community to use deep learning techniques, which has resulted in more precise side-channel studies, even when countermeasures are in effect. Machine learning algorithms, on the other hand, have the drawback of requiring human engineering to function and some performance fluctuations in some cases. Recent research has focused on using deep learning techniques to extract characteristics from data automatically. Concepts of side channel attacks, machine learning, deep learning, and current breakthroughs in deep learning-based side-channel attacks are described in this paper. This discussion provides an overview of contemporary machine and deep learning research in the context of SCA. Machine Learning is not completely negated, or Deep Learning is not completely supported but their competitiveness and trend is discussed as a baseline to new challenges in context of side channel attack. Thus, a paradigm shift of ML to DL in SCAs is the focus of this paper.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129515258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Towards the Constraint Learning and Optimization Approach to Document Clustering 文档聚类的约束学习与优化方法研究

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719790

M. Rafi, Fizza Abid, Hamza Mustafa Khan, Anum Mirza

{"title":"Towards the Constraint Learning and Optimization Approach to Document Clustering","authors":"M. Rafi, Fizza Abid, Hamza Mustafa Khan, Anum Mirza","doi":"10.1109/IMTIC53841.2021.9719790","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719790","url":null,"abstract":"This research proposed autonomous constraint learning from a document collection to incorporate these constraints into an effective document clustering process. Constraint Clustering is based on semi-supervised approach towards document clustering, where some prior knowledge about the collection is readily available for clustering. The paper proposes algorithms based on sampling to find three different kind of constraints from the document collection (i) instance level (ii) cluster level and (iii) corpus level. The constraints integrated into constraint K-Mean produced multiple clusters satisfying the constraints. A boosting method is suggested to adaptively learn the constraint's priorities, constraint satisfaction criteria and optimal clustering solution from multiple possible solutions. The proposed algorithms are implemented and tested over standard text mining dataset. The evaluation measures for testing the algorithm involves purity, entropy, and F-measure. This experimental studies achieved encouraging results for constraint learning and on average, 6% improvements are achieved on clustering results.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134167645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pattern Recognition approach to Predict Renewable Energy Consumption 模式识别方法预测可再生能源消耗

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719779

Asif Gulraiz, S. S. Zaidi, Abdul Samad

{"title":"Pattern Recognition approach to Predict Renewable Energy Consumption","authors":"Asif Gulraiz, S. S. Zaidi, Abdul Samad","doi":"10.1109/IMTIC53841.2021.9719779","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719779","url":null,"abstract":"The microgrid has been presented in recent years to meet energy requirements as a complementary option. The micro grid comprises of renewable generation, energy storage units and demand management via the low-voltage distribution network, which are part of the intelligent grid implementation. Renewable energy resources, including solar and wind energy, are now used worldwide because of the quick technological progress and environmental benefits. However, it is important to integrate renewable production in the micro grid in advance, for this reason, future power generation from renewable sources must now be predicted. Predicting future energy generation will be helpful in finding requirement for grid integration. Forecasting is the ability to determine periods of stable generation from renewable sources. In this paper a renewable energy generation is predicted which is comprised of solar and wind energy to know the requirements for energy in future. With the help of these results Grid will be configured well in advance to fulfill electricity generation requirements from renewable energy resources. ANN (Artificial Neural Network) and ARMA (Auto-Regressive Moving Average) models are used for prediction of different energy resources. Raw data is first processed using feature extraction technique and then it is used in ANN and ARMA modelling.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129232991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Brain Tumor Detection based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations 基于分割、阈值和形态学操作的磁共振成像分析脑肿瘤检测

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719773

Misha Urooj Khan, Hareem Khan, A. Arshad, N. K. Baloch, Aneela Shaheen, Faizan Tariq

{"title":"Brain Tumor Detection based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations","authors":"Misha Urooj Khan, Hareem Khan, A. Arshad, N. K. Baloch, Aneela Shaheen, Faizan Tariq","doi":"10.1109/IMTIC53841.2021.9719773","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719773","url":null,"abstract":"The brain tumor is one of the most dangerous and deadly diseases in the world. Almost 95% of the patient die due to this disease. The main two classes of brain tumors are benign and malignant tumors. The first failure towards their cure is the late detection and diagnosis. Researchers are on their way to find and discover an accessible and easy method for its earlier detection so that its uncontrollable spread can be controlled before a life-threatening situation. MRI (Magnetic Resonance Imaging) is the best technique for image processing and makes it easier to detect a tumor area in the brain. In this paper, we used preprocessing, segmentation, thresholding, feature extraction, and classification to detect brain tumors in MRI images. A GUI (Graphical User Interface) is also designed to load the images, plot the results, and tell the user/doctor whether the MRI is of a healthy subject or a Tumor patient. The total algorithm takes less than 5 seconds to give complete classification results and accurately classifies 98.99% times.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129652690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Realization of a Novel, Lightweight and Secured CoAP Based Monitoring System in Smart Logistics 智能物流中一种新型、轻量化、安全的CoAP监控系统的实现

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719796

Salva Hasan, Salman Ahmed, Safdar Nawaz Khan Marwat

{"title":"Realization of a Novel, Lightweight and Secured CoAP Based Monitoring System in Smart Logistics","authors":"Salva Hasan, Salman Ahmed, Safdar Nawaz Khan Marwat","doi":"10.1109/IMTIC53841.2021.9719796","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719796","url":null,"abstract":"Internet of Things (IoT)-where the physical components are able to communicate with each other and with the internet-is one of the driving forces behind the Fourth Industrial Revolution. Nowadays, IoT applications have become widespread across many industries. However, due to the resource-constrained nature of IoT devices, they cannot be secured using conventional security protocols that are already developed. Hence, lightweight implementations of IoT security are the need of the hour. This paper proposes a secure and tamper-resistant system for monitoring the status of items in a container during transportation and storage using IoT devices. As smart logistics often transport items that are sensitive to environmental changes such as temperature and humidity, the security of data obtained from these sensors is the main focus of this research. To evaluate the performance of the system, a pilot-scale silo has been fabricated. Constrained Application Protocol (CoAP) is used as the communication protocol and a lightweight implementation of Datagram Transport Layer Security (DTLS) protocol has been adapted for the smart container architecture to incorporate cryptographic security. The low power consumption of the lightweight DTLS-secured CoAP implementation will drastically increase the efficiency of the smart logistics architecture without compromising its security.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128824022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Projection Type Interactive Head-up Display Based on Retroreflective Surface and Leap Motion Sensor 基于反射面和跳跃运动传感器的投影式交互式平视显示器

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719788

Zulifqar Ali Shaikh, Syed Aftab Hussain, Shafat Ali Bangwar, Shoaib R. Soomro

{"title":"Projection Type Interactive Head-up Display Based on Retroreflective Surface and Leap Motion Sensor","authors":"Zulifqar Ali Shaikh, Syed Aftab Hussain, Shafat Ali Bangwar, Shoaib R. Soomro","doi":"10.1109/IMTIC53841.2021.9719788","DOIUrl":"https://doi.org/10.1109/IMTIC53841.2021.9719788","url":null,"abstract":"An automotive head-up display (HUD) is a display medium that provides the digital information in-front of the user or driver without causing any deviation from their direct view. The early head-up-displays were primarily developed for military aviation to project flight information in front of the pilot. However, with the recent development in optics, electronics and multimedia applications, the HUD have found its way into variety of applications including automotive interactive information systems. In this paper, we present a high luminant and transparent interactive HUD display enabled by the micro-structured retroreflective surface. The high brightness is supported by exploiting the narrow angle scattering property of the retroreflective surfaces while the transparency is achieved by using a transparent glass screen at 45 degrees. The real-time interaction with the displayed content is provided by using leap motion sensor. The interactive user interface is developed in Unity3D. The experimental setup is demonstrated using the commercial retroreflective fabric and DLP multimedia projector. The developed system is tested in a regular car in outdoor settings. Our results show high perceived brightness of the display within the viewing angle of ±10 degrees. Transmission efficiency of the developed prototype was > 60%.","PeriodicalId":172583,"journal":{"name":"2021 6th International Multi-Topic ICT Conference (IMTIC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-Supervised Learning in Smart Agriculture: A Systematic Literature Review 智能农业中的半监督学习:系统文献综述

2021 6th International Multi-Topic ICT Conference (IMTIC) Pub Date : 2021-11-10 DOI: 10.1109/IMTIC53841.2021.9719809

Tazeen Fatima, T. Mahmood

引用次数: 4