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6th IEEE Symposium on Future Telecommunication Technologies, SOFTT 2022

作者： Mohd Alias, Mohamad Razin Naim Mohd Dzaki, Dzahir Rashidi Din, Norashidah Md Deros, Siti Noratiqah Mohd Passarella, Rossi Amier Chaai, Azzam Eusuf Chaai Malaysia Universitas Sriwijaya Computer Networking and Information System Faculty of Computer Science Department Palembang Indonesia Malaysia

ISBN: (纸本)9781665455978

Transmission tower fault monitoring has always been a challenge for power system engineers. Vertical and horizontal displacement monitoring is important for evaluating health status of transmission tower's infrastructures. Quick fault detection can help protect the equipment by allowing the disconnection of transmission tower before any significant damage of the equipment. The purpose of this study is to propose an IoT monitoring system for transmission towers. The monitoring system adheres to Three-Layer IoT architecture. In the perception layer, sensors MPU6050 and Anemometer are used to measure a specific parameter. The data, which includes the Roll, Pitch, Yaw, and wind velocity, is gathered and delivered to the ESP32 through network layer using WiFi, which then stored the information in the cloud using InfluxDB. For visualization purposes in the application layer, Grafana is utilized which is hosted in the web dashboard and the mobile application. Flutter framework is used to develop the mobile application. An alert will be displayed in the mobile application when the threshold of the wind speed exceeds 10m/s. © 2022 IEEE.

关键词： Wind

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An Optimal Distribution of RSU for Improving Self-Driving Vehicle Connectivity

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computers, Materials & Continua 2022年第2期70卷 3311-3319页

作者： Khattab Alheeti Abdulkareem Alaloosy Haitham Khalaf Abdulkareem Alzahrani Duaa Al_Dosary Department of Computer Networking System College of Computer Sciences and Information TechnologyUniversity of AnbarRamadiIraq College of Medicine University of AnbarRamadiIraq Department of Computer Science Faculty of Computer Science and Information TechnologyAlbaha UniversityAlbahaSaudi Arabia College of Computer Sciences and Information Technology University of AnbarRamadiIraq

Self-driving and semi-self-driving cars play an important role in our daily *** effectiveness of these cars is based heavily on the use of their surrounding areas to collect sensitive and vital ***,external infrastructures also play significant roles in the transmission and reception of control data,cooperative awareness messages,and caution *** this case,roadside units are considered one of themost important communication *** distribution of these infrastructures will overburden the spread of self-driving vehicles in terms of cost,bandwidth,connectivity,and radio coverage *** this paper,a new distributed roadside unit is proposed to enhance the performance and connectivity of these ***,this approach is based primarily on k-means to find the optimal location of each roadside *** addition,this approach supports dynamicmobility with a long period of connectivity for each ***,this system can adapt to various locations(e.g.,highways,rural areas,urban environments).The simulation results of the proposed system are reflected in its efficiency and ***,the system can achieve a high connectivity rate with a low error rate while reducing costs.

关键词： Self-driving cars roadside unit autonomous vehicles distributed systems connectivity

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Driver Behavior Assessment with Different ML Models Using EEG and Physiological Data - A Comparative Study 16

Driver Behavior Assessment with Different ML Models Using EE...

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16th International Conference on Electronics, computers and Artificial Intelligence, ECAI 2024

作者： Al-Gburi, Sama Hussein Al-Sammak, Kanar Alaa Alheeti, Khattab M. Ali Suciu, George Abdulqader, Abedulqader Gailan Faculty of Electronics Telecommunications and Information Technology Bucharest Romania University of Anbar College of Computer Sciences and Information Technology Faculty of Department of Computer Networking System Ramadi Iraq Beia Consult International Faculty of Electronics Telecommunications and Information Technology Bucharest Romania Ministry of Education Karkh Second Directorate of Education Baghdad Iraq

ISBN: (纸本)9798350371154

Ensuring road safety is becoming more and more significant for researchers and for all the society. One of the main issues in this area considers driver drowsiness. Therefore, the focus of this paper is the comprehensive analysis and comparison of four distinct machine learning models: Logistic Regression, Random Forest, Support Vector Machine (SVM), and Gradient Boosting. The ultimate goal is to gain insights into the intricate factors that shape driver behavior. When assessing the effectiveness of each model, four key metrics are taken into account: precision, recall, F1 score, and accuracy. In this study, we used a 'TRYOUT' dataset. The study yielded several significant findings regarding the performance of the machine learning models employed. Remarkably, the accuracy scores for all models were notably high, falling within a range of 0.8651 to 0.9999. Among all the models, the Random Forest model stood out as the most effective, displaying an impressive accuracy score of 0.9999 on the merged data. The SVM model, while not as proficient as the Random Forest, still managed a respectable performance, particularly on the MPM39 dataset where it achieved an accuracy of 7 5. 0 6 %. The Logistic Regression model demonstrated its strength on the CVD08 dataset, although its performance was comparatively weaker on the other datasets. Lastly, the Gradient Boosting model demonstrated consistent competency across all datasets, underscoring its reliability in a range of circumstances. © 2024 IEEE.

关键词： Support vector machines

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A Comparative Analysis on Three Duplication Elements in Copy-Move Forgery using PatchMatch-Based Detection Method 8

A Comparative Analysis on Three Duplication Elements in Copy...

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8th IEEE International Conference on Software Engineering and computer systems, ICSECS 2023

作者： Nor Azaimi, Nur Izzati Abd Warif, Nor Bakiah Ismail, Nor-Syahidatul N Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Johor Malaysia Centre for Information Security Research Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Johor Malaysia Universiti Malaysia Pahang Al-Sultan Abdullah Faculty of Computing Department of Computer System and Networking Pekan Pahang Malaysia

ISBN: (纸本)9798350310931

Image forgery is the alteration of a digital image to hide some of the important and useful information. Copy-move forgery (CMF) is one of the most difficult to detect because the copied part of the image has the same characteristics as the original image. Most of the existing datasets only highlight additional attacks in the copied part. Since there are no categories of duplication elements in the datasets, this research analyzed three categories of duplication elements in CMF which are animals, food and non-living things using DEFACTO and CoMo3Dataset. The analysis is performed on PatchMatch-based detection method and the results show that the method able to maintain at least 83% for all duplication elements in both DEFACTO and CoMo3Dataset. Furthermore, the method is able to detect a minimum 92% score for the food category in both datasets. © 2023 IEEE.

关键词： Copy-Move forgery DEFACTO duplication regions PatchMatch

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IoT Based Accident Detection and Tracking system with Telegram and SMS Notifications 6

IoT Based Accident Detection and Tracking System with Telegr...

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6th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2021

作者： Razali, Sharifah Nadiyah Fariza Abu Samah, Khyrina Airin Ahmad, Mohd Hafiez Riza, Lala Septem Computer System and Networking Program Kolej Komuniti Selandar Malacca Malaysia Universiti Teknologi MARA Cawangan Faculty of Science Mathematics and Computer Malacca Malaysia Jabatan Pengajian Politeknik Dan Kolej Komuniti Putrajaya Malaysia Universitas Pendidikan Indonesia Department of Computer Science Education Bandung Indonesia

ISBN: (纸本)9781665434027

The most important factor influencing the percentage of deaths due to road accident injuries is the time between the occurrence of the accident and the arrival of emergency responders at the scene of the accident. Kolej Komuniti Selandar (KKSL) received the report on the frequency of non-residence students involved in accidents outside working hours. It will only be reported to the KKSL if their friends or family reports them. Thus, an innovative Accident Detection and Tracking system (AD-Tracksys) is proposed using the Internet of Things approach to overcome the problem. AD-Tracksys works to track the location of an accident and notify a designated individual in the event of an accident. Existing products use GSM for location tracking and notification purposes. However, it cannot detect the location and provide notifications in real-time, sending messages through SMS. Therefore, implementing node MCU, GSM, and IFTTT protocol in AD-Tracksys allows the system to detect an accident and send notifications in real-time via Telegram or SMS. We tested the system using three test cases, and as a result, we managed to prove the study's success. In the future, this system can be enhanced by adding alert functions of assistance services such as clinics, police stations and fire stations. © 2021 IEEE.

关键词： Internet of things

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Model-Based Testing of Access Control Requirement in Multi-tenant Application: An Extensive Life Cycle 1

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3rd International Conference on computer Science, Electrical and Electronic Engineering, ICCEE 2021

作者： Duraisamy, Gunavathi Ghani, Abdul Azim Abd Zulzalil, Hazura Abdullah, Azizol Faculty of Computer Science and Information Technology Department of Software Engineering and Information System Universiti Putra Malaysia Selangor Serdang Malaysia Faculty of Computer Science and Information Technology Department of Communication Technology and Networking Universiti Putra Malaysia Selangor Serdang Malaysia Lee Kong Chian Faculty of Engineering and Science Department of Internet Engineering and Computer Science Universiti Tunku Abdul Rahman Sungai Long Campus Selangor Kajang Malaysia

ISBN: (数字)9789811697814

ISBN: (纸本)9789811697807

Model-based testing is a substantial approach that is based on and involving models. It is well known for achieving test coverage and for generating and executing test cases automatically. The main and core activity of model-based testing is the modelling activity. Models are used to explain and represent the behaviour of the product. The requirement will be translated into models and those models will be used in generating the test cases automatically in model-based testing. The modelling activity clarifies test requirement and contribute to automatic generation and execution of large test suites with tool support. Model-based testing provides numerous advantages in testing;mainly on achieving appropriate test coverage and reduce manual effort and time spent since it can execute the test cases automatically. Despite all the benefit it can provide, there are some drawbacks too. However, the challenges faced can overcome by implementing proper test modelling activity and by adopting a well-versed test management activity. Thus, in this paper, we have studied the existing testing process, the taxonomy of model-based testing and model-based testing steps and proposed an extensive lifecycle for model-based testing with detail activities and steps to be carried out in order to test and validate access control requirement for multi-tenant application. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Access control

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Machine Learning and Network Traffic to Distinguish Between Malware and Benign Applications 1st

Machine Learning and Network Traffic to Distinguish Between ...

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1st International Conference on Pervasive Knowledge and Collective Intelligence on Web and Social Media, PerSOM 2022

作者： Abualigah, Laith Abualigah, Sayel Almahmoud, Mothanna Forestiero, Agostino Sachdeva, Gagan Hanandeh, Essam S. Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Faculty of Information Technology Middle East University Amman Jordan Applied Science Research Center Applied Science Private University Amman Jordan School of Computer Sciences Universiti Sains Malaysia Pulau Pinang George Town Malaysia Computer Science Department Prince Hussein Bin Abdullah Faculty for Information Technology Al Al-Bayt University Mafraq25113 Jordan Department of Computer Information Systems Jordan University of Science and Technology Ar-Ramtha Jordan Performance Computing and Networking National Research Council of Italy Rende87036 Italy First Abu Dhabi Bank Abu Dhabi United Arab Emirates Department of Computer Information System Zarqa University Zarqa Jordan

ISBN: (纸本)9783031314681

Virus detection software is widely used for servers, systems, and devices that seek to maintain security and reliability. Although these programs provide an excellent safety level, the traditional defense methods fail to detect new Malware. The more advanced approach relies on predicting malicious behavior with dynamic analysis of the process executed. This paper presents a new method for detecting malware using machine learning algorithms applied to data obtained from the Cuckoo sandbox. The Cuckoo sandbox isolates the file being analyzed, providing detailed dynamic analysis reports. The machine learning algorithms were compared and the most important features were identified. The results were obtained using six popular classifiers, including SVM, Random Forest, and LightGBM, and the XGBOOST algorithm had the highest accuracy, at an average of 97%. However, the research on machine learning-based malware analysis is limited in terms of computational complexity and detection accuracy. © 2023, ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Software reliability

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A Comparative Analysis on Three Duplication Elements in Copy-Move Forgery using PatchMatch-Based Detection Method

A Comparative Analysis on Three Duplication Elements in Copy...

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International Conference on Software Engineering and computer systems (ICSECS)

作者： Nur Izzati Nor Azaimi Nor Bakiah Abd Warif Nor-Syahidatul N Ismail Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Johor Malaysia Faculty of Computer Science and Information Technology Centre for Information Security Research Universiti Tun Hussein Onn Malaysia Johor Malaysia Department of Computer System and Networking Faculty of Computing Universiti Malaysia Pahang Al-Sultan Abdullah Pekan Pahang Malaysia

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Effects of Impulse Noise on Massive MIMO

Effects of Impulse Noise on Massive MIMO

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2019 Imam Al-Kadhum International Conference for Modern Applications of Information and Communication Technology, MAICT 2019

作者： Dawod, Adnan Yousif Abdulqader, Mohammed Fakhrulddin Hameed, Saif Saad University of Kirkuk Iraq Department of Computer Networking System Faculty of Computer Science and Information Technology University of Anbar Iraq

The usage range of nowadays wireless communications become wide, all of the develop applications uses wireless communication which improve the mobility and improve the mobility of the network subscribers. As known that the antenna diversity scheme developed from "SISO" to "MIMO" that has a maximum capacity and ability to improve the communication quality with a good shields among the fading effects and other impairments. In this research work study and analysis to the antenna systems and antenna schemes was done taking into consideration the central antenna system and the distributed antenna system "CAS" and "DAS". A Matlab simulation was developed to test antenna configuration system in term of effeteness of fading channel while using different modulation order. © Published under licence by IOP Publishing Ltd.

关键词： Impulse noise

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Performance Comparison of Centralized and Distributed Antenna system in 5G

Performance Comparison of Centralized and Distributed Antenn...

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2019 Imam Al-Kadhum International Conference for Modern Applications of Information and Communication Technology, MAICT 2019

作者： Hameed, Saif Saad Mohammed Saleh, Hadeel Department of Computer Networking System Faculty of Computer Science and Information Technology University of Anbar Iraq Faculty Pharmacy University of Anbar Anbar-Iraq Iraq

关键词： Fading channels

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