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Multilevel feedback queue: Efficient scheduling and implementation by using dynamic quantum

AIP Conference Proceedings 2023年第1期2554卷

作者： Muhammad Kashif Rab Nawaz Riries Rulaningtyas Shuaib Iqbal Aisha Zulfiqar 1Biomedical Engineering Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 2Computer Engineering Department College of Electrical and Mechanical Engineering National University of Sciences and Technology Rawalpindi Pakistan 3Computer Science Department Comsats University Islamabad Pakistan

A multitasking operating system allows many programs to run at the same time. We need to schedule our Central Processing Units (CPUs) efficiently to handle these services. CPU scheduling algorithms come in a score of forms and any strategy has advantages and disadvantages. We implemented a Multi-Level Feedback Queue (MLFQ) algorithm with static time quantum for the first queue, making an efficient scheduling algorithm of MLFQ dynamic time quantum used in the second queue. Other than that, we compared both results and observed which dynamic time quantum delivers the best result. In the first queue, we used the Round Robin (RR) algorithm with less quantum time for processes that have a short burst time. The process that had more burst time than the defined quantum in the first queue was allowed to move into the second queue. Here, we calculated the average burst time of all remaining processes and defined that burst time as a quantum for the second queue after the Shortest Job First (SJF) scheme was applied in this queue. As a result, 70% of the processes in the second queue was received CPU. Other processes moved into the lower queue (the last queue). Hence, this technique prevented the starvation problem for those processes which have large burst times.

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Deception technology companions with IOT-a platform of connected world and bluff

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AIP Conference Proceedings 2022年第1期2555卷

作者： Jalaj Pateria Laxmi Ahuja Kirti Seth 1Capgemini India 2Computer Science and Engineering Amity Institute of Information Technology Noida India 3Computer Science and Engineering School of Computer and Information Technology INHA University in Tashkent Uzbekistan

Internet of Things (IoT) networks securityis one of the most crucial issue what informationtechnology (IT) community faces. As IoT ecosystem continues to accelerate, so do the cyber security threats associated with connected devices. Any IOT device compromised becomes a backdoor into the organization network. IOT devices are new exploitable agents due to its weaknesses such as less secured firmware, missing with high-grade authentication. Hence, intruders can take advantage of weaker level of security and management of the devices is much labour intensive and are considered as soft targets. Deception which is an amalgamation of analytics and Machine Learning can act as a silver harpoon and adds extra layer of security of IOT device where deception platform is introduced into set of devices deceiving attackers into thinking they are authentic. This paper describes the limitations of Internet of Things End Points and how Deception Technology can be used to create a layer of confusion against intruder. We have done experiments on raw logs to interpret IOT and NON-IOT devices, Type of IOT device, device anomalous behaviour and what type of anomaly device is facing by using multiple machine learning algorithms and predicting possible attacks by performing effective feature selection and classification. Our results showed comparison statistics of multiple models based on various metrics and derive deceptive strategy the defender adopt to keep attackers success rate low.

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Ant based routing algorithm for balanced the load and optimized the AMNET lifetime

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AIP Conference Proceedings 2023年第1期2523卷

作者： H. Azath A. K. Velmurugan K. Padmanaban A. M. Senthil Kumar Murugan Subbiah 1School of Computing Science and Engineering VIT Bhopal University India. 2Computer Science and Engineering Koneru Lakshmaiah Education Foundation Green Field Vaddeswaram Guntur Dist. Vijayawada Andhra Pradesh-522502 India. 3Computer Science and Engineering Koneru Lakshmaiah Education Foundation Green Field Vaddeswaram Guntur Dist. Vijayawada Andhra Pradesh 522502 India 4Computer Science and Engineering Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India 5Embedded System Vee Eee Technologies Chennai Tamil Nadu India

Mobile ad hoc networks (MANETs) are perfect for positions here lacking preset structure. Nowadays, may experience from partitioning network. This restriction builds MANETs incompatible for applications for example, crisis management and battleground communications. To deal with this weakness, an Autonomous Mobile Mesh Network (AMMNET) is used. AMMNET introduce a disseminated tracking the client clarification to handle with the active nature of client movement, and this approach for dynamic topology alteration in accordance with the movement sample of the clients. However, the significant problems in AMMNET are to utilize an energy-efficient routing approach to extend the network lifetime. This approach introduced Ant Based Routing Algorithm for balanced the load and Optimized the AMNET lifetime (ARAB). It utilizes a well-organized heuristic update technique to optimize the path concern. This algorithm using pheromone trail revises to balance the utilization of energy. As a result, minimize the energy utilization induced with the control overhead. This approach balances the energy between clusters and evades preliminary network partitioning. Our simulation outcomes specify that ARAB is healthy against partitioning and accomplished of offering high forwarder throughput for the mobile clients.

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Sign language detection and conversion to text using CNN and OpenCV

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AIP Conference Proceedings 2022年第1期2555卷

作者： Hemant Kumar Mohit Kumar Sharma Rohit Kunal Singh Bisht Ashish Kumar Rachna Jain Preeti Nagrath Pritpal Singh 1Electronics and Communication Engineering Department Bharati Vidyapeeth’s College of Engineering New Delhi India 110063 2Information Technology Department Bharati Vidyapeeth’s College of Engineering New Delhi India 110063 3Computer Science and Engineering Department Chandigarh University Punjab India 140413

It becomes very difficult to converse with deaf and mute people, so we need a language structure to understand what they are trying to say. Language is a barrier in between normal people and mute people. Our aim is to create an interface that convert sign language to the text by which everyone can understand the sign language of the peoples who are unable to speak. For this purpose, we will train a model to recognize hand gestures. The model can be trained using KNN, support vector machine, Logistic regression and CNN. But CNN is more accurate and effective in case of image recognition, that’s why we have train our model using CNN algorithm. After training the model on the American sign language dataset we can predict the text with good accuracy, but the model fails when we use OpenCV to recognize hand gestures. To further improve the model, we have created our own dataset to train the model using the dataset of images captured and then predict the text by taking the input from webcam. Also integrate the inputs to black and white after background subtraction. This will recognize hand gestures more accurately.

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Orthogonal Boubaker-Turki polynomials algorithm for problems arising in engineering

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AIP Conference Proceedings 2022年第1期2386卷

作者： Osama Alabdali Suha Shihab Mohammed Rasheed Taha Rashid 1College of Education for Pure Sciences University Of Anbar Al-Anbar Iraq 2Applied Science Department University of Technology Baghdad Iraq 3Computer and Microelectronics System Faculity of Engineering University Technology Malaysia (UTM) Skudai 81310 Johor Bahru Malaysia

The approximate solutions of optimal control problems are investigated in this article with Duffing oscillator model. Duffing oscillator models have lots of interesting engineering application. The orthogonal Boubaker-Turki polynomials first are presented with some new interesting properties. Then, an algorithm based on iterative technique is considered with orthogonal Boubaker-Turki polynomials as a basis functions. By utilizing OBTPs, the proposed technique produces a simple procedure to get an optimal approximate solution that can use to problems that are more complex. Convergence of the algorithm is discussed and numerical examples are solved. The results obtained illustrate and emphasize the efficiency of the suggested algorithm when comparing the results with results obtained in previous works.

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Covid heuristic analysis using machine learning

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AIP Conference Proceedings 2022年第1期2393卷

作者： Pravin R. Kshirsagar Makarand Upadhyaya Pankaj Dadheech T. Yuvaraj C. A. Sathiya Moorthy 1Department of Electronics and Communication Engineering AVNIET Hyderabad India 2Department of management & marketing University of Bahrain Bahrain 3Computer science & Engineering Swami Keshvanand institute of technology Jaipur Rajasthan India 4Department of Electrical and Electronics Engineering Saveetha School of Engineering Chennai India 5Department of Electronics and Communication Engineering CMS College of engineering Namakkal India

The newer avid-19 corona virus created havoc for patients with a variety of complications that prompted health practitioners around the world to develop new technologies and treatment plans. Technologies based on Machine Learning (ML) have been a major factor in addressing complex issues and many businesses have been able to develop and adapt to the COVID-19 challenges. The diagnosis of illness can be used with different AI methods to monitor the present havoc. Since Machine Learning (ML) approaches have been commonly used in other domain fields, a great deal of demand is now being made for ML-supported diagnostic systems to screen, monitor, and forecast void-19 spread and find a cure. The article presents an overview of the role of ML to combat the virus so far, especially from the perspective of screening, prognosis, and vaccine.

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Halal industry 4.0 model for SMEs

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AIP Conference Proceedings 2022年第1期2617卷

作者： Raja Mohd Tariqi Raja Lope Ahmad Wan Azlan Wan Hassan Suziyanti Marjudi Azhar Hamid Mohd Fahmi Mohamad Amran 1Computing Department Faculty of Communication Visual Art and Computing University Selangor 45600 Bestari Jaya Selangor Malaysia 2Software Engineering Department Faculty of Computer Science & Information Technology Universiti Tun Hussein Onn Malaysia 86400 Johor Malaysia 3Computer Science Department Faculty of Science and Defense Technology Universiti Pertahanan Nasional Malaysia Kem Sungai Besi 57000 Kuala Lumpur Malaysia

The commitment between SMEs and stakeholders is very important in coordinating interrelated Halal business functions. However, Halal SMEs players have major obstacles in integrating information that can support their stakeholders with operational and functional requirements. Moreover, there are scanty supply chain comprehensive models that can engage Halal SMEs participants for digitalization. Therefore, the purpose of this study is to construct the Halal Industry 4.0 Model (HI4.0) in order to improve business engagement among SMEs within the Halal Industry 4.0 supply chain. Analysis and evaluation were conducted based on application of previous research work by using systematic literature review and thematic analysis to identify the elements and processes involved in the implementation of Halal related businesses. The outcomes show that HI4.0 consists of five main components which are Halal Knowledge Repository, Halal Supply Chain Management Systems Implementation Framework, Halal Smart Application Ecosystem, Halal Infrastructure, and Halal Integrity Assurance System. The findings contribute to the Halal Industry 4.0 framework development in which the model can benefit stakeholders' engagement with governing bodies, consumers and SMEs.

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Pulmonary X-ray images. A fractal analysis

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AIP Conference Proceedings 2020年第1期2218卷

作者： Mihai-Virgil Nichita Maria-Alexandra Paun Vladimir-Alexandru Paun Viorel-Puiu Paun 1Doctoral School Faculty of Applied Sciences University POLITEHNICA of Bucharest Romania 2Department of Engineering Swiss Federal Institute of Technology (EPFL) Lausanne Switzerland 3Computer Science and Systems Engineering Department Ecole Nationale Superiore de Techniques Avancées (ENSTA) ParisTech Paris France 4Physics Department Faculty of Applied Sciences University POLITEHNICA of Bucharest Romania

A method of analyzing human pulmonary X-rays using a few software procedures to process the images will be presented. Photographs of the lungs were investigated and images of the arteries were illustrated, successfully extracting the shadows due to the ribs and the lung itself through an advanced algorithm. This paper presents a solution for processing and interpretation of pulmonary X-ray images in order to deploy a better fractal analysis, to find out the fractal dimension and lacunarity for arteries network.

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Exchange rate analysis by nonlinear time series method

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AIP Conference Proceedings 2020年第1期2218卷

作者： Dragos-Alin Dragomir Maria-Alexandra Paun Vladimir-Alexandru Paun Viorel-Puiu Paun 1Doctoral School Faculty of Applied Sciences University POLITEHNICA of Bucharest Romania 2Department of Engineering Swiss Federal Institute of Technology (EPFL) Lausanne Switzerland 3Computer Science and Systems Engineering Department Ecole Nationale Superiore de Techniques Avancées (ENSTA) ParisTech Paris France 4Physics Department Faculty of Applied Sciences University POLITEHNICA of Bucharest Romania

A financial data analysis using the time series method has been performed. At the same time a correct interpretation of daily exchange rates fluctuations, for Eur foreign currencies is presented. The fractal dimension evaluation has been performed using the box-counting method, which allows for a rapid analysis of 2D images on two bits (white-black). A perfected version of this method has been employed to investigate the temporal evolution of a currency rate, which has oscillations predominantly on the vertical direction.

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Minimizing thin film thickness in TiN coatings using genetic algorithms

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AIP Conference Proceedings 2018年第1期2016卷

作者： M. I. Jarrah A. S. M. Jaya M. A. Azam M. R. Muhamad H. Akbar 1Faculty of Information and Communication Technology Universiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia 2Faculty of Manufacturing Engineering Universiti Teknikal Malaysia Melaka (UTeM) Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia 3Computer Science Department BINUS Graduate Program-Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480

Optimization of coating parameters is important in the machining process, as an optimized coating layer enhances efficient machining result by providing high wear resistance, saving time and effort, reducing cost, increasing productivity and leading to extend tool life for better surface finish. In terms of tool wear resistance, tools with suitable film coating are forty times better than uncoated tools. Cutting tools are usually coated by Titanium Nitride (TiN), since it has properties such as resistance to wear and hardness resulting in increased cutting performance. Genetic algorithms (GAs) belong to the powerful artificial intelligence optimization family of evolutionary algorithm-based metaheuristic techniques. Since their inception, they have been successfully applied in numerous areas of industrial sectors as material design, tools coating and cutting, alloy design, and so on. In this research work, predicting thin film coating thickness of titanium nitride (TiN) on tungsten carbide (WC) inserts is presented. First, (WC) inserts were coated by TiN in different conditions using Physical Vapor Deposition (PVD), and the surface profilometer was used to measure thickness of the WC coated specimens. Second, Response Surface Methodology (RSM) was used to generate the objective function which represents the process parameters and coating thickness. Third, using a fitness function model, GAs were established to optimize the thickness value of TiN layer with respect to changes in three process parameters, namely Nitrogen gas pressure (N2), Argon gas pressure (Ar), and Turntable Speed (TT). Finally, for performance measurement, three real experimental tests were carried out in terms of Prediction Interval (PI) and Residual Error (e) to validate the RSM model. The actual coating thickness of validation data fell within the 95% (PI) and the (e) values percentage were very low. In terms of optimization, GAs is capable optimizing thickness better than the average experimen

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