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2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

作者： Tsilikas, Ioannis Tsirigotis, Aris Deligiannidis, Stavros Tsigaridas, Georgios N. Bogris, Adonis Mesaritakis, Charis National Technical University of Athens Dept. Physics Iroon Polytechniou 9 Zografou Athens15772 Greece University of the Aegean Dept. Information and Communication Systems Engineering Palama 2 str. 83200 Karlovasi Samos Greece University of West Attica Dept. Informatics and Computer Engineering Ag. Spiridonos Egaleo12243 Greece

ISBN: (纸本)9798350345995

In this work, we investigate the compression capabilities of a photonic neuromorphic accelerator relying on an optical spectrum slicing technique [1], following a high-flow 1D imaging cytometry setup, able to image 62000 particles/sec. The utilized image scheme relies on a technique, where spatial information is transfered to the spectrum and subsequently through dispersion to the temporal domain. Therefore, it can replace high speed spectrometers with a single photodetector [2]. On the other hand, the elevated image acquisition rate, trigger the generation of a staggering amount of data, which can cause a processing backlog at the digital backend. In this context, we explore, for the first time, the use of a photonic neuromorphic pre-processing unit, following the cytometer that can reduce the number of trainable parameters at a lightweight digital backend by a factor of 2.5, while at the same time, it can project incoming data to a high dimensional space boosting accuracy. © 2023 IEEE.

关键词： Photonics

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Analysis of Emotions through the Use of Physiological Signals 7

Analysis of Emotions through the Use of Physiological Signal...

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7th South-East Europe Design Automation, computer engineering, computer Networks and Social Media Conference, SEEDA-CECNSM 2022

作者： Sakkas, Konstantinos Tsogka, Alexandra Gkimitzoudis, Athanasios Giannakeas, Nikolaos Tzimourta, Katerina D. Tsipouras, Markos Glavas, Euripidis Tzallas, Alexandros T. University of Ioannina Department of Informatics and Telecommunication Arta Greece University of Western Macedonia Dept. of Electrical and Computer Engineering Kozani Greece

ISBN: (数字)9798350398588

ISBN: (纸本)9798350398588

Emotion is a psychosomatic process that is caused either by a conscious or non-conscious perception of an object or a situation whereas, the result of that process is depicted either by the expression of the face, or physically, or with a combination of the above. An important mechanism playing a significant role in the recognition of emotions is the encephalogram, which enables us to detect significant signals of the brain. The methodology developed aims to the identification of basic emotions by using an electroencephalogram through an experimental process where participants were asked to evaluate the experiment according to the valence, arousal and dominance of each emotion inflicted on them by videos they were subjected to watching. Through the experimental process, a vector of characteristics is analyzed for each of the electrodes of the electroencephalogram and for a series of videos. The training of a model and classification of algorithms were the key to finding the best methods in terms of sensitivity, accuracy, and specification of our data. © 2022 IEEE.

关键词： Machine learning

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Adaptation of Natural Gradient Boosting Model for Production Environment 4

Adaptation of Natural Gradient Boosting Model for Production...

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4th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Tyurin, Alexey Sergeevich Saraev, Pavel Viktorovich Lipetsk State Technical University Dept. of Informatics and Computer Engineering Lipetsk Russia Lipetsk State Technical University Lipetsk Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

Application of mathematical models in a production environment is associated with solving many complex engineering and analytical problems, one of which is to evaluate the quality of such a model and assess the economic and technological effect. The paper shows how the worst model according to classical metrics can show the best results in production. © 2022 IEEE.

关键词： Training Economics Adaptation models Temperature distribution Time series analysis Production Mathematical models

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Indonesian Hate Speech and Abusive Tweets Classification with Deep Learning Pre-trained Language Models

Indonesian Hate Speech and Abusive Tweets Classification wit...

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International Conference of computer and informatics engineering (IC2IE)

作者： Bagus Tri Yulianto Darmawan Bassamtiano Renaufalgi Irnawan Yoshimi Suzuki Dept. of Computer and Informatics Engineering Politeknik Negeri Jakarta Depok Indonesia Dept. of Computer Science and Engineering University of Yamanashi Kofu Japan

Hate speech and abusive language on social media can spread massively and escalate into conflict between two or more individuals or parties. Previous studies about multi-label classification to identify whether the tweet contains hate speech, abusive language, or not have been conducted with machine learning techniques. They applied machine learning with a combination of feature extraction and achieved a good result in recognizing the tweet with hate speech content. In this research, we apply two approaches: first, we use vanilla pre-trained models of IndoBERT, IndoBERTweet, and Indonesian RoBERTa; second, we combine the three previous models with CNN. Our experiment shows that our proposed method has better results compared to previous research with the best performance achieved by IndoBERTweet+CNN with 93.9% Accuracy.

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Neuromorphic Camera Assisted High-Flow Imaging Cytometry for Particle Classification

Neuromorphic Camera Assisted High-Flow Imaging Cytometry for...

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2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023

作者： Tsilikas, Ioannis Deligiannidis, Stavros Tsirigotis, Aris Tsigaridas, Georgios N. Bogris, Adonis Mesaritakis, Charis National Technical University of Athens Dept. Physics Iroon Polytechniou 9 Zografou Athens15772 Greece University of West Attica Dept. Informatics and Computer Engineering Ag. Spiridonos Egaleo12243 Greece University of the Aegean Dept. Information and Communication Systems Engineering Palama 2 str. Karlovasi Samos83200 Greece

ISBN: (纸本)9798350345995

In this work we combine a high flow cytometry experimental setup and a 10Kframe/sec capable neuromorphic event-based camera, followed by lightweight machine learning schemes, thus allowing the simultaneous imaging and real-time classification of test particles, moving at a speed of 0.8m/sec with an accuracy of 97.6%. The key advantage of the utilized microscopy system, is the use of an event-based camera, generating spiking events, triggered by pixel's contrast changes. This bio-inspired operation, contrary to conventional CMOS cameras [1], alleviates bandwidth constraints and can significantly boost frame-rate capabilities, thus capturing high speed events. Following this paradigm, medical imaging modalities, where the detection and analysis of fast-moving particles is a necessity, such as high-flow cytometry, can greatly proliferate from the proposed approach. © 2023 IEEE.

关键词： Cameras

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Analysis of *** Email Domain Security Status Using DMARC (Domain-Based Message Authentication, Reporting, and Conformance)

Analysis of *** Email Domain Security Status Using DMARC (Do...

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International Conference of computer and informatics engineering (IC2IE)

作者： Defiana Arnaldy Regina Patricia Theyser Dept. of Informatics and Computer Engineering Politeknik Negeri Jakarta Depok Indonesia

The rapid development of technology not only provides benefits that facilitate all human activities. However, it also encourages more security loopholes due to a person's lack of awareness in maintaining data security. Phishing emails are one of the fastest growing security crimes and harm both businesses and individuals. This research aims to implement DMARC (Domain-based Message Authentication, Reporting, and Conformance) as an email authentication method that can monitor the security status of all types of messages that enter *** email domains. This research uses email phishing and spoofing as penetration testing techniques to analyze how good that email security method is. DMARC is implemented in three types of scenarios (none, quarantine, and reject) which manage to get different delivery rates and the success rate of DMARC work performance reaches 90% in monitoring and managing all email messages that go to the *** email domain. In the situation without policy enforcement, the DMARC system effectively observed a 100.0% external delivery rate during the phishing email delivery test. In the scenario where a quarantine policy was implemented, the DMARC system successfully monitored the external sending of phishing emails at a rate of 88.5%. Similarly, in the case of the reject policy scenario, DMARC effectively oversaw incoming phishing emails with an external delivery rate of 97.7%.

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Automatic Decomposition of a Sequential Algorithm for MapReduce Frameworks

Automatic Decomposition of a Sequential Algorithm for MapRed...

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2022 IEEE International Multi-Conference on engineering, computer and Information Sciences, SIBIRCON 2022

作者： Simonov, Victor S. Khairetdinov, Marat S. Novosibirsk State Technical University Dept. Computer Engineering Novosibirsk Russia Institute of Computational Mathematics and Mathematical Geophysics SB RAS Dept. Geophysical Informatics Novosibirsk Russia

ISBN: (纸本)9781665464802

Effective programming of parallel architectures has always been a difficult t ask. T o d ate, programming languages and technologies have been developed that simplify the programmer's work, but do not make parallelization automatic. MapReduce is a model of programming for the development of large-scale computations with intensive use of data. There are many frameworks where the implementation of this paradigm has been recently developed. There is a need to rewrite existing serial code to use the frameworks listed. The researcher must be familiar with the problems of parallelization, the API of the framework, and also have considerable experience. This prompted us to develop a new tool that automatically translates sequential programs into ready-made versions suitable for execution in the MapReduce paradigm. The code fragment from the serial version is converted in two stages. At the first stage, the synthesis of the program, the functional specification, was made. It was necessary to find information about the calculation structure for each block of code. The result was stored as a high-level intermediate language, reminiscent of the program format for MapReduce frameworks. Checking for semantic equivalence to the original has done using the proof of the theorem. At the second stage, executable code is created, which was the result of generation from a sequential program using the Hadoop or Spark instruction set. Creating a parallelizing compiler is one way to solve this problem. This will allow you to translate code written in a different paradigm (for example, imperative code) into a parallel version for the framework. Classical compilers, such as logical plan-to-physical compilers, use pattern matching rules. The compiler contains a set of rules that identify different patterns of code input (for example, list-sequential looping) and transform consistent code. © 2022 IEEE.

关键词： MapReduce

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An Implementation of Automatic Dart Code Verification for Mobile Application Programming Learning Assistance System Using Flutter

An Implementation of Automatic Dart Code Verification for Mo...

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2022 International Conference on Electrical and Information Technology, IEIT 2022

作者： Syaifudin, Yan Watequlis Hatjrianto, Agus Salim Funabiki, Nobuo Liliana, Dewi Yanti Kaswar, Andi Baso Nurhasan, Usman Dept. of Information Technology State Polytechnic of Malang Malang Indonesia Dept. of Elec. and Comm. Engineering Okayama University Okayama Japan Dept. of Informatics Engineering State Polytechnic of Jakarta Jakarta Indonesia Dept. of Computer Engineering State University of Makassar Makassar Indonesia

ISBN: (数字)9781665453035

ISBN: (纸本)9781665453035

The popularity of smartphone devices has rapidly increased in recent years and many people utilize smartphones for various needs. The development of mobile applications has been aimed at various fields that make the demand for mobile application programmers increase. Recently, Flutter has become a software development kit for cross-platform applications development, including Android and iOS, so many software developers have adopted it. To provide a self-learning system for studying mobile programming with Flutter, we propose a learning assistance system with an automatic Dart code verification feature. Based on our previous studies in Android Programming Learning Assistance System (APLAS), the automatic code verification process can adopt software testing process for Android applications. The learning model provides learning materials for studying and practicing by solving an assignment. A learning topic of developing a simple application is prepared for the proposed system evaluation. 40 university students in IT department have been appointed to study Flutter and solve the assignment. Finally, they can solve the assignment correctly and give positive opinions about using this system. © 2022 IEEE.

关键词： Smartphones

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Design and Implementation of Cloud Computing Using the NDLC Method Combined with Tunnel Link Split

Design and Implementation of Cloud Computing Using the NDLC ...

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Information Technology and Computing (ICITCOM), International Conference on

作者： Iqbal Tri Wibowo Asep Kurniawan Noviandri Nur Fauzi Sulaiman Prihatin Oktivasari Dept. of Informatics and Computer Engineering Politeknik Negeri Jakarta Depok Idonesia

Today's education system increasingly incorporates information technology, such as the use of computers, the internet, and mobile devices. Utilization of this information technology can facilitate the teaching and learning process and increase the effectiveness, efficiency and productivity of users, both teachers, students and school administrators. However, given the growing number of users and the amount of data processed, school infrastructure often cannot meet these needs. The system development method will use the NDLC (Network Development Life Cycle) method which will be combined with the Tunnel Link Split to become a system that can be used remotely (remoting). The results of this research are that the results of designing and implementing cloud computing with the NDLC method combined with tunneling can be successful and used. Implementation is also carried out with additional monitoring using observium software and for access to the cloud using additional software, namely owncloud by obtaining an extended processor observium value of 99.90% (idle), detailed observium memory 69% (% of ram), swap storage observium 218.48kb/ s, observium ping response 86.4m/s, and observium traffic port wlo15.63m.

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Unveiling the Evolution of Mobile Networks: From 1G to 7G

arXiv

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arXiv 2023年

作者： Zontou, Ellie Dept. of Computer Engineering and Informatics University of Patras Patras26504 Greece

The evolution of cellular networks has played a pivotal role in shaping the modern telecommunications landscape. This paper explores the journey of cellular network generations, beginning with the introduction of Japan’s first commercial 1G network by Nippon Telegraph and Telephone (NTT) Corporation in 1979. This analog wireless network quickly expanded to become the country’s first national 1G network within a remarkably short period. The transition from analog to digital networks marked a significant turning point in the wireless industry, enabled by advancements in MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) technology. MOSFET, originally developed at Bell Labs in 1959, underwent modifications to suit cellular networks in the early 1990s, facilitating the shift to digital wireless mobile networks. The advent of the 2G generation brought forth the first commercial digital cellular network in 1991, sparking recognition among manufacturers and mobile network operators of the importance of robust networks and efficient architecture. As the wireless industry continued to experience exponential growth, the significance of effective network infrastructure became increasingly evident. In this research, our aim is to provide a comprehensive overview of the entire spectrum of cellular network generations, ranging from 1G to the potential future of 7G. By tracing the evolution of these networks, we aim to shed light on the transformative developments that have shaped the telecommunications landscape and explore the possibilities that lie ahead in the realm of cellular technology. Copyright © 2023, The Authors. All rights reserved.

关键词： Wireless networks

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