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2021 International Conference of Modern Trends in Information and Communication technology Industry, MTICTI 2021

作者： Abdaljabar, Zainab Hussam Ucan, Osman Nuri Ali Alheeti, Khattab M. University of Altinbaş Institute of Graduate Studies Department of Electrical and Computer Engineering Turkey University of Anbar College of Computer Science and Information Technology Department of Computer Networking Systems Iraq

ISBN: (纸本)9781665414449

The Internet of Things (IoT) has grown rapidly in recent years, intending to affect everything from everyday life to large industrial systems. Regrettably, this has attracted the attention of hackers, who have turned the Internet of Things into a target for malicious activity, exposing end nodes to attack. IoT devices' sheer volume and diversity make protecting the IoT infrastructure with a traditional intrusion detection system difficult. So to protect IoT devices, the data flow was investigated in an IoT context to protect these devices from hackers. We used two machine learning classifiers in this work: KNN (K-Nearest Neighbors) and DT (Decision Tree). We calculated the Error Rate, Accuracy, Precision, Recall, and F1 score for each method. When we combined these two classifiers, we obtained outstanding results (100 %). We have a high rate of detection of attacks. The findings are summarized. © 2021 IEEE.

关键词： Decision trees

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A New Classification Method for Drone-Based Crops in Smart Farming

International Journal of Interactive Mobile Technologies

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International Journal of Interactive Mobile Technologies 2022年第9期16卷 164-174页

作者： Al-Rami, Bandar Alheeti, Khattab M. Ali Aldosari, Waleed M. Alshahrani, Saeed Matar Al-Abrez, Shahad Mahdi Dean of Faculty of Computer Studies Arab open University Riyadh Saudi Arabia College of Computer Sciences and Information Technology Computer Networking Systems Department University of Anbar Ramadi Iraq Department of Computer Engineering Prince Sattam Bin Abdulaziz University Al Kharj Saudi Arabia Faculty of Computer Science and Information Technology Saudi Electronic University Riyadh Saudi Arabia

During the past decades, smart farming became one of the most important revolutions in the agriculture industry. Smart farming makes use of different communication technologies and modern information sciences for in-creasing the quality and quantity of the product. On the other hand, drones showed a major potential for enhancing imagery systems and re-mote sensing usage for many different applications such as crop classification, crop health monitoring and weed management. In this paper, an intelligent method for classifying crops is proposed to use a transfer learning approach based on a number of drone images. Moreover, the Convolution-al Neural Network (CNN) method is used as a classifier to improve efficiency for obtaining more accurate results in the training and testing phases. Various metrics are measured to evaluate the efficiency of the proposed model such as accuracy rate of detection, error rate and confusing matrix. It is found to be proven from the experimental results that the proposed method presents more efficient results with an accuracy detection rate of 92.93% © 2022. International Journal of Interactive Mobile *** Rights Reserved.

关键词： Drones

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E-cost estimation using expert judgment and COCOMO II

E-cost estimation using expert judgment and COCOMO II

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2010 International Symposium on Information technology, ITSim'10

作者： Mansor, Zulkefli Bin Kasirun, Zarinah Mohd Arshad, Noor Habibah Hj Yahya, Saadiah Department of Computer Science Faculty of Industrial Information Technology Universiti Industri Selangor Selangor Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur Malaysia System Science Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Malaysia Computer Technology and Networking Studies Faculty of Computer Science and Mathematics Universiti Teknologi Mara Selangor Malaysia

ISBN: (纸本)9781424467181

The accuracy and efficiency of cost estimation methodology for web-based application is very important for software development as it would be able to assist the management team to estimate the cost. Furthermore, it will ensure that the development of cost is within the planned budget and provides a fundamental motivation towards the development of web-based application proíéct. The literature review reveals that COCOMO II provides accurate result because more variables are considered including reuse parameter. The parameter is one of the essential variables in estimating the cost in web-based application development. This research investigates the feasibility to combine and implement COCOMO II and el pert I Udgment technil be in a tool called WebCost. In estimating a cost, the tool considers all variables in COCOMO II and rei bires el pert l udgment to key-in the input of the variables such as pro I éct size, pro I éct type, cost ad i Ustment factor and cost driven factor. I leveloped in JA I A, WebCost is proven able to estimate cost and generate its estimation result. The usability evaluation conducted had shown that WebCost is usable when compared with other tools I lit has its own advantages. WebCost is evidence suitable for everyone especially the prolect managers, software practitioners or software engineering student in handling the cost estimation tasks. © 2010 IEEE.

关键词： Software design

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New Intrusion Detection System to Protect MANET Networks Employing Machine Learning Techniques

New Intrusion Detection System to Protect MANET Networks Emp...

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2021 International Conference of Modern Trends in Information and Communication technology Industry, MTICTI 2021

作者： Khalifa, Marwa Mohammed Ucan, Osman Nuri Ali Alheeti, Khattab M. University of Altinbaş Institute of Graduate Studies Department of Computer Engineering / Information Technologies Turkey University of Altinbaş School of Science and Engineering Department of Electrical and Computer Engineering Turkey University of Anbar College of Computer Science and Information Technology Department of Computer Networking Systems Iraq

ISBN: (纸本)9781665414449

The Intrusion Detection System (IDS) is one of the technologies available to protect mobile ad hoc networks. The system monitors the network and detects intrusion from malicious nodes, aiming at passive (eavesdropping) or positive attack to disrupt the network. This paper proposes a new Intrusion detection system using three Machine Learning (ML) techniques. The ML techniques were Random Forest (RF), support vector machines (SVM), and Naïve Bayes(NB) were used to classify nodes in MANET. The data set was generated by the simulator network simulator-2 (NS-2). The routing protocol was used is Dynamic Source Routing (DSR). The type of IDS used is a Network Intrusion Detection System (NIDS). The dataset was pre-processed, then split into two subsets, 67% for training and 33% for testing employing Python Version 3.8.8. Obtaining good results for RF, SVM and NB when applied randomly selected features in the trial and error method from the dataset to improve the performance of the IDS and reduce time spent for training and testing. The system showed promising results, especially with RF, where the accuracy rate reached 100%. © 2021 IEEE.

关键词： Support vector machines

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Success factors in cost estimation for software development project

Success factors in cost estimation for software development ...

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2nd International Conference on Software Engineering and computer Systems, ICSECS 2011

作者： Mansor, Zulkefli Yahya, Saadiah Hj Arshad, Noor Habibah Faculty of Information Technology Industry Universiti Selangor Jalan Timur Tambahan Bestari Jaya Selangor 45600 Malaysia Computer Technology and Networking Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia System Science Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia

ISBN: (纸本)9783642221699

Cost estimation process becomes a crucial factor in any software development project. There are many previous researches discussed the success factors that influence in software development project. This paper aimed to discuss factors that influences to the successful of cost estimation process in software development project. Literature survey is carried out from the past researches. Then, this paper presents the success factors that bring to the effectiveness of cost estimation in software development project. From the review, a conceptual model was developed to show the influence factors in cost estimation process. Realisation these factors will help software development communities contribute positively to the success of cost estimation process in software development project. © 2011 Springer-Verlag.

关键词： Project management

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Delay-Constrained Profit Maximization for Data Deposition in Mobile Opportunistic Device-to-Device Networks 19

Delay-Constrained Profit Maximization for Data Deposition in...

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19th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2018

作者： Liu, Yang Elman Bashar, A.M.A. Wu, Baijun Wu, Hongyi Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology China Plymouth State University Department of Computer Science Technology United States University of Louisiana at Lafayette Center for Advanced Computer Studies United States Old Dominion University Department of Electrical Computer Engineering United States

ISBN: (纸本)9781538647257

Device-to-device (D2D) is a new paradigm in cellular networks that enhances network performance by introducing increased spectral efficiency and reduced communication delay. Efficient data dissemination is indispensable for supporting many D2D applications such as content distribution and location-aware advertisement. In this work, we investigate a new and interesting data dissemination problem where the receivers are not explicitly known and data must be disseminated to the receivers within a probabilistic delay budget. We propose to exploit data depositories, which can temporarily house data and deliver them to interested receivers upon requests. We formally formulate the delay-constrained profit maximization problem for data deposition in D2D networks and show its NP-hardness. Under the unique mobile opportunistic network setting, a practical solution must be distributed, localized, and online. To this end, we introduce three algorithms for Direct Online Selection of 1-Depository, Direct Online Selection of L-Depositories, and Mixed Online Selection of L-Depositories. To demonstrate and evaluate the system, we implement a prototype using Google Nexus handsets and conduct experiments for five weeks. We further carry out simulations based on real-world mobility traces for evaluation of large-scale networks and various network settings that are impractical to experiment. © 2018 IEEE.

关键词： Deposition

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Current practices of software cost estimation technique in Malaysia context

Current practices of software cost estimation technique in M...

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International Conference on Informatics Engineering and Information Science, ICIEIS 2011

作者： Mansor, Zulkefli Mohd Kasirun, Zarinah Yahya, Saadiah Hj Arshad, Noor Habibah Faculty of Information Technology Industry Universiti Selangor Jalan Timur Tambahan Bestari Jaya Selangor 45600 Malaysia Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya Kuala Lumpur 50603 Malaysia Computer Technology and Networking Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia System Science Studies Faculty of Computer and Mathematical Sciences Universiti Teknologi MARA Shah Alam Selangor 40450 Malaysia

ISBN: (纸本)9783642253263

Software cost estimation process is frequently debated by software development community for decades. In order to estimate the cost, numerous methods can be used such as an expert judgment, algorithmic model or parametric, top-down approach, price-to-win, bottom-up and many more. Questionnaire and literature survey were carried out in this study. The result from the survey shows that the expert judgment method, which is based on experience and past estimation histories, is commonly use to estimate cost in software development project while the result from the literature shows that COCOMO II provides accurate result because many variables are being considered including the reuse of parameter besides the expert judgment. As a conclusion, expert judgment and algorithmic model are widely used as methods in software cost estimation process and the process was done manually. The integration of these two methods helps in producing accurate result for cost estimation process. © 2011 Springer-Verlag.

关键词： Project management

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WSN Data Collection and Routing Protocol with Time Synchronization in Low-cost IoT Environment 18

WSN Data Collection and Routing Protocol with Time Synchroni...

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18th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2021, The 16th International Conference on Future Networks and Communications, FNC 2021 and the 11th International Conference on Sustainable Energy Information technology, SEIT 2021

作者： Co, Kimberly Jane Ong, Arlyn Verina Peradilla, Marnel Advanced Research Institute for Informatics Computing and Networking De la Salle University 2401 Taft Ave. Philippines Manila City1004 Philippines Computer Technology Department College of Computer Studies De la Salle University 2401 Taft Ave. Philippines Manila City1004 Philippines

The Internet of Things (IoT) is rapidly growing as a topic of research and conversation. IoT includes monitoring applications such as environment, healthcare, and military, requiring real-time gathering and data delivery. In dealing with time-sensitive applications, time synchronization is essential to collaborative wireless sensor network (WSN) nodes' data collection and routing information sharing. This paper proposes an ad hoc routing and data collection protocol with a time synchronization function. A hybrid packet-based time synchronization is introduced, wherein reference time is sourced from the sink node (centralized) and sourced from the adjacent nodes (distributed). The time synchronization process is integrated into the routing and data transmissions in the network as it lessens overheads and transmission exchanges, which would be beneficial for large-scale WSN. Finally, we evaluate the protocol's performance using a realistic low-cost WSN testbed. Our proposed protocol has achieved an averaged time offset of less than 100 milliseconds for a 15-minute test duration in multiple topology scenarios. © 2021 Elsevier B.V.. All rights reserved.

关键词： Internet of things

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Geometric Optimisation of Unmanned Aerial Vehicle Trajectories in Uncertain Environments

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Vehicular Communications 2025年 54卷

作者： Akshya, J. Sundarrajan, M. Amutha, S. Dhanaraj, Rajesh Kumar Khadidos, Adil O. Khadidos, Alaa O. Selvarajan, Shitharth Department of Computational Intelligence SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India Department of Networking and Communications SRM Institute of Science and Technology Tamil Nadu Kattankulathur 603203 India Department of Computer Science and Engineering School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Symbiosis Institute of Computer Studies and Research (SICSR) Symbiosis International (Deemed University) Pune India Department of Information Technology Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology King Abdulaziz University Jeddah 21589 Saudi Arabia Center of Research Excellence in Artificial Intelligence and Data Science King Abdulaziz University Jeddah Saudi Arabia School of Built Environment Engineering and Computing Leeds Beckett University LS6 3HF Leeds United Kingdom Department of Computer Science and Engineering Chennai Institute of Technology Chennai India Centre for Research Impact & Outcome Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura 140401 India

The problem of efficient trajectory optimisation for Unmanned Aerial Vehicles (UAVS) in dynamic and constrained environments is one where energy efficiency, spatial coverage, and path smoothness need to be balanced. The existing methods, namely RRT*, A*, and Dijkstra, are popular but generally heuristic and do not provide globally optimal solutions. They face significant limitations while dealing with complex geometries, dynamic obstacles, and multi-objective requirements. These challenges call for a mathematically sound framework that seamlessly integrates convex analysis and computational geometry to provide an optimal trajectory planning framework. This research work introduces a convex optimisation framework for UAV trajectory planning which unifies multiple objectives, like minimising energy consumption, maximising spatial coverage, and ensuring the smoothness of the path, into a single convex objective function. More importantly, it indicates that obstacle dynamics and uncertain environmental conditions are handled better by it, so it is relatively easier for safe and efficient navigation. Proven to converge faster and with higher precision than RRT*, A*, and Dijkstra, the approach proposed here enjoys intrinsic convex properties, which ensure global optimality. Qualitative measurements show the efficiency of the proposed framework. The result is energy efficiency of 90%, with 92% coverage, 98% constraint satisfaction, and 95% path smoothness, which is 15-25% better on all metrics than traditional approaches can offer. By bridging between theory in convex optimisation and practice for solving multi-objective problems in a dynamic setting, this study provides a more robust solution for UAV trajectory planning. © 2025 The Author(s)

关键词： Computational Geometry Convex Optimisation Delaunay Triangulations Spatial Coverage UAV Trajectory Voronoi Diagrams

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A Study of Feature-Based and Pixel-Level Image Fusion Techniques 1

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3rd International Conference on Information technology, InCITe 2023

作者： Kumar, Vivek Khanduja, Manisha Anandaram, Harishchander Joshi, Kapil Gupta, Ashulekha Diwakar, Manoj Department of Computer Science Uttaranchal Institute of Technology Uttaranchal University Dehradun India Uttaranchal School of Computing Sciences Uttaranchal University Dehradun India Centre for Excellence in Computational Engineering and Networking Amrita Vishwa Vidyapeetham Tamil Nadu Coimbatore India Department of Management Studies Uttarakhand Dehradun India Uttarakhand Dehradun India

ISBN: (数字)9789819959976

ISBN: (纸本)9789819959969

In order to offer a single, more precise representation of the display than any one of the original origin photographs, image fusion attempts to combine the original images of the same scenario. Symbol, feature, pixel and signal levels are only a few of the levels at which image fusion can be applied. The starting point for more image fusion approaches to the range of IF is pixel-level and feature based, and multi-scale decomposition multi-resolution image fusion is a significant area of image processing. In the research, we investigate different image fusion methods for the standard enhancement and performance evaluation of the merge image and get some relevant results. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Discrete wavelet transforms

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