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21st International Electronics Symposium, IES 2019

作者： Rasyid, Alfandino Albaab, Mochammad Rifki Ulil Falah, Muhammad Fajrul Panduman, Yohanes Yohanie Fridelin Yusuf, Alviansyah Arman Basuki, Dwi Kurnia Tjahjono, Anang Budiarti, Rizqi Putri Nourma Sukaridhoto, Sritrusta Yudianto, Firman Wicaksono, Hendro Informatics and Computer Departement Electronics Engineering Polytechnic Institute of Surabaya Surabaya Indonesia Electrical Engineering Departement Electronics Engineering Polytechnic Institute of Surabaya Surabaya Indonesia Departement of Engineering Nadhlatul Ulama Univesity of Surabaya Surabaya Indonesia Intelligent Systems and Production Engineering Karlsruhe Institute of Technology Karlsruhe Germany

ISBN: (纸本)9781728144498

A good condition of road was very needed by the people, because the movement of goods and services, and also a lot of people activities is indirectly depending on the road condition. So for keeps the road on good quality, early detection of road damage, especially pothole must be held. This thing is very important because a small damage that is not immediately handled can be large, so that the danger will decreased. It also make the cost that needed for repair it become greater. In the other hand, detecting road damage cannot be done with a manual checking, because it will take a lot of time and money. So supporting technology is needed to detect this kind of roads hazard. One of the technology easily used to detect road damage is computer vision. In this research, we build a system that can detect a pothole on the road which is captured by the camera. The camera used here is a wireless portable camera. Also for the location tagging, the GPS sensor is used here. The vision object detection system using imageZMQ library for stream the frames and process it in the processor PC. The capturing and streaming activity performed very well from the mini portable computer camera which is attached in the vehicle. the next step of this research is making the detection performed well in the more robust computational device. © 2019 IEEE.

关键词： computer vision

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Ubiquitous data

Ubiquitous data

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作者： Hotho, Andreas Pedersen, Rasmus Ulslev Wurst, Michael University Kassel Depart. of Electrical Engineering/Computer Science Knowledge and Data Engineering Group Germany Copenhagen Business School Dept. of Informatics Embedded Software Lab. Copenhagen Denmark Technical University Dortmund Computer Science LS8 44221 Dortmund Germany

ISBN: (纸本)3642163912

Ubiquitous knowledge discovery systems must be captured from many different perspectives. In earlier chapters, aspects like machine learning, underlying network technologies etc. were described. An essential component, which we shall discuss now, is still missing: Ubiquitous Data. While data themselves are a central part of the knowledge discovery process, in a ubiquitous setting new challenges arise. In this context, the emergence of data itself plays a large role, therefore we label this part of KDubiq systems ubiquitous data. It clarifies the KDubiq challenges related to the multitude of available data and what we must do before we can tap into this rich information source. © 2010 Springer-Verlag.

关键词： Taps

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Topic Relation Graph Construction to Identify Challenges in Introducing Programming in Indonesian K-12 Education 1

Topic Relation Graph Construction to Identify Challenges in ...

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1st IEEE International Conference on Smart Technology, ICE-SMARTec 2023

作者： Ayub, Mewati Karnalim, Oscar Toba, Hapnes Wijanto, Maresha Caroline Dulimarta, Hans Saputra, Williyandie Kotambunan, Tabitha Emanuella Master Program of Computer Science Maranatha Christian University Bandung Indonesia Ewha Womans University Dept. of Computer Science and Engineering Seoul Korea Republic of School of Computing Grand Valley State University MI United States Informatics Engineering Maranatha Christian University Bandung Indonesia

ISBN: (纸本)9798350306156

Programming can help K-12 students to develop their 21st-century core skills. Despite the benefits, programming is not common to be delivered in Indonesian K-12 education. There is a need to understand potential challenges in introducing programming to K-12 students. We developed a questionnaire survey covering four identified dimensions of challenges: administrative, facilities, teachers, and students. We also asked about common programming assessments and their preferred software features for teaching programming. Forty K-12 teachers were invited to complete the survey. The responses were analyzed with thematic analysis using a bigram-based Latent Dirichlet Allocation topic modeling and descriptive statistics. Our study shows that the challenges include limited learning modules, an insufficient number of computers, limited programming skills, and limited computational thinking skills. Scratch was the most common programming language used and many programming assessments were about debugging a program or writing a small program. Visualization and animation can be helpful in teaching programming. © 2023 IEEE.

关键词： Students

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Early Detection of Covid-19 in Canadian Provinces and its Anticipatory Measures for a Medical Emergency

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SN computer Science 2020年第6期1卷 349页

作者： Kamboj, Vikram Kumar Verma, Chaman Gupta, Anish Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary Canada Department of Media and Educational Informatics Eötvös Loránd University Budapest Hungary Domain of Power System School of Electronics and Electrical Engineering Lovely Professional University Phagwara India ABES Engineering College Ghaziabad India

The spread of COVID-19 is incearsing day by day and it has put the entire world and the whole humankind at the stack. The assets of probably the biggest economies are worried because of the enormous infectivity, and transmissibility of this ailment. Because of the developing extent of the number of cases and its ensuing weight on the organization and wellbeing experts, some expectation strategies would be required to anticipate the quantity of evidence in the future. In this paper, we have utilized time series forecasting approach entitled autoregressive integrated moving average, and bend fitting for the forecast of the quantity of COVID-19 cases in Canadian Province for 30 days ahead. The estimates of different parameters (number of positive cases, number of recouped cases, and decrease cases) got by the proposed strategy is exact inside a specific range, and will be a beneficial apparatus for overseers, and wellbeing officials to organize the clinical office in the distinctive Canadian Province. © 2020, The Author(s).

关键词： ARIMA Canadian province Confirmed Covid-19 Decease

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A new efficient decision-aided ISI canceler for mobile communication systems

A new efficient decision-aided ISI canceler for mobile commu...

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IEEE Conference on Vehicular Technology (VTC)

作者： P. Karaivazoglou K. Berberidis Department of Computer Engineering and Informatics School of Engineering University of Patras Rio-Patras Greece

Intersymbol interference (ISI) can be effectively cancelled by using a decision-aided canceler (DAC). Such a scheme exploits the fact that the introduced ISI may be adequately modeled as a linear combination of past and future decisions. Since future decisions are unavailable, a first stage is required, which provides tentative decisions to the second (the cancellation) stage. In the new DAC presented here, block adaptive schemes, implemented in the frequency domain, are used in both stages. The new DAC outperforms the existing DAC schemes in both steady-state performance and convergence speed and at the same time it exhibits a much lower computational complexity. Its good performance is retained even under hostile conditions such as those encountered in wideband mobile communication systems.

关键词： Intersymbol interference Mobile communication Decision feedback equalizers Filters Noise cancellation Wideband informatics Interference cancellation Steady-state Convergence

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Application for heart abnormalities detection through Iris

Application for heart abnormalities detection through Iris

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International Electronics Symposium (IES)

作者： K. Entin Martiana Ali Ridho Barakbah S. Syarifa Akmilis Aditya Afgan Hermawan Department of Informatics and Computer Engineering Electronic Engineering Polytechnic Institute of Surabaya Surabaya Indonesia

ISBN: (纸本)9781509016419

Iridology is the science that allows a health practitioner or non expert to learn the signs in the iris of the eye that is capable of indicating the presence of abnormalities in the body, including basic genetics, toxin deposition, dam circulation, and other weaknesses. Research on computerized iridology had been done before. This paper present a computerized iridology system for detecting heart conditions which is designed through several stages such as pre-processing, auto cropping, segmentation, feature extraction and classification using Thresholding Algorithm. Put a sample of the patient's iris shows the condition of normal and abnormal heart. Our proposed heart abnormalities detection system performs in Mugi Barokah Clinic Surabaya. We made an experimental study of our proposed system by using 40 data of normal and abnormal patients to determine the effectiveness of our application system. Our heart abnormalities detection system gives contribution for the patient with 86,4% accuration.

关键词： Iris Heart Histograms Feature extraction Iris recognition Biomedical imaging Diseases

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Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution 11th

Model-Based Rate-Distortion Optimized Video-Based Point Clou...

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11th International Conference on Image and Graphics, ICIG 2021

作者： Yuan, Hui Hamzaoui, Raouf Neri, Ferrante Yang, Shengxiang School of Engineering and Sustainable Development De Montfort University Leicester United Kingdom School of Control Science and Engineering Shandong University Jinan China School of Computer Science University of Nottingham Nottingham United Kingdom School of Computer Science and Informatics De Montfort University Leicester United Kingdom

ISBN: (纸本)9783030873547

The Moving Picture Experts Group (MPEG) video-based point cloud compression (V-PCC) standard encodes a dynamic point cloud by first converting it into one geometry video and one color video and then using a video coder to compress the two video sequences. We first propose analytical models for the distortion and bitrate of the V-PCC reference software, where the models’ variables are the quantization step sizes used in the encoding of the geometry and color videos. Unlike previous work, our analytical models are functions of the quantization step sizes of all frames in a group of frames. Then, we use our models and an implementation of the differential evolution algorithm to efficiently minimize the distortion subject to a constraint on the bitrate. Experimental results on six dynamic point clouds show that, compared to the state-of-the-art, our method achieves an encoding with a smaller error to the target bitrate (4.65% vs. 11.94% on average) and a slightly lower rate-distortion performance (on average, the increase in Bjøntegaard delta (BD) distortion is 0.27, and the increase in BD rate is 8.40%). © 2021, Springer Nature Switzerland AG.

关键词： Encoding (symbols)

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An Ontology-based Approach for User Modelling and Personalization in E-Learning Systems

An Ontology-based Approach for User Modelling and Personaliz...

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International Conference on computer and Information Science (ACIS)

作者： Foteini Grivokostopoulou Isidoros Perikos Michael Paraskevas Ioannis Hatzilygeroudis Computer Engineering & Informatics Department University of Patras and Computer Technology Institute & Press "Diophantus" Patras Greece Department of Electrical & Computer Engineering University of Peloponnese and Computer Technology Institute & Press "Diophantus" Patras Greece Computer Engineering & Informatics Department University of Patras Patras Greece

Intelligent tutoring systems are becoming an important mean of education delivery and have changed the ways of teaching and learning. One of their most important aspects concerns the personalization and the adaptation of the learning procedures to learners' characteristics. This is mainly achieved with the use of student modelling which is employed to record user context and to enhance the learning experience of the students. In this work, we present a generic ontology that incorporates concepts and properties used to model user profiles in order to formulate concrete, complete and extensible user modelling in e-learning systems. The ontology consists of learners' personal, cognitive and social information as well as information about their performance and skills. In order to keep the student model updated, semantic rules are utilized to analyse student learning and to extract knowledge regarding their performance. The ontological approach is domain independent and can be utilized as a reference model for learner representation in intelligent tutoring systems in higher and distance education.

关键词： Adaptation models Ontologies Computational modeling Electronic learning Cognition Adaptive systems

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Implementation of intelligent motor speed control using rotary encoder

Implementation of intelligent motor speed control using rota...

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1st International Conference on Robot, Vision and Signal Processing, RVSP 2011

作者： Chao, Min Hsieh, Kunta Wang, Chin-Yu Chang, Hsinchiu Department of Civil Engineering and Engineering Informatics Cheng Shiu University Kaohsiung Taiwan Institute of Mechatronics Engineering Cheng Shiu University Kaohsiung Taiwan Graduate Institute of Mechatronics Engineering Cheng Shiu University Kaohsiung Taiwan Department of Computer Science and Information Engineering Cheng Shiu University Kaohsiung Taiwan

ISBN: (纸本)9780769545813

The project will try to implement the system with the NI Labview DAQ-6211 capture card to make intelligent motor speed control system, expect this architecture to learn new construction methods, and can develop new applications. Ideas in the hope of a simple feedback information, that is, to determine whether the current speed should be to accelerate or decelerate the motor commands. As the motor control system uses a PWM signal, so the time interval within the same time continuing the level of the signal width is different from the motor speed will result in different. We make a default speed under the control of motor speed in Labview to automatically achieve, so constantly adjust the speed target, the system will change the speed at any time, in order to achieve the set target speed. © 2011 IEEE.

关键词： Speed

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Social engineering Attacks Detection Approach 13

Social Engineering Attacks Detection Approach

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13th International Conference on Dependable Systems, Services and Technologies, DESSERT 2023

作者： Lysenko, Sergii Vorobiov, Volodymyr Bokhonko, Oleksandr Gaj, Piotr Savenko, Oleg Woloszyn, Jacek Khmelnitsky National University Department of Computer Engineering and Information Systems Khmelnitsky Ukraine Silesian University of Technology Gliwice Poland Khmelnitsky National University Department of Computer Engineering and System Programming Khmelnitsky Ukraine Kazimierz Pulaski University of Technology and Humanities in Radom Department of Informatics and Teleinformatics Radom Poland

ISBN: (纸本)9798350396119

The paper focuses on the problem of technical social engineering attacks that encompass the manipulation of individuals to reveal sensitive information, execute actions, or breach security systems. These exploits frequently capitalize on human psychology, trust, and a lack of vigilance to attain unauthorized entry to networks, systems, or data. In contrast to traditional social engineering tactics that center on psychological manipulation, technical social engineering attacks employ technological means and strategies to manipulate and beguile individuals. The paper presents an attempt to detect social engineering attacks. The approach utilized four machine learning algorithms (decision tree, random forest, K-nearest neighbor, and extreme gradient boosting). The analysis is centered on data collected from network hosts, which may serve as indicators of a potential social engineering attack. The empirical results demonstrated high detection accuracy. © 2023 IEEE.

关键词： Cybersecurity

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