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Silchar Subsection Conference (SILCON), IEEE

作者： Himadri Mukherjee Matteo Marciano Ankita Dhar Kaushik Roy Dept. of Computer Science West Bengal State University India Gazelien Records Lab Dept. of Arts and Humanities Music Program New York University Abu Dhabi UAE Dept. of Computer Science & Engineering Sister Nivedita University India

The number of songs is increasing at an explosive rate which has led to the development of automatic song categorization systems. Songs are categorized in different ways like genre, artist, beats per minute (BPM), etc. It is also very important to categorize songs based on their emotional content as the audience often prefers songs of a particular mood. The lyrics of a song become available online instantly after the release of the song itself. This sets the stage for an automated song classification system based on lyrics. In this paper, a system is presented to address this problem. The system was tested with 400 songs from 2 categories namely happy and sad. The dataset was composed of disparate artists, genres, and timelines wherein the highest accuracy of 83.25% was obtained using a heterogeneous ensemble learning-based approach.

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Implementation of a Physically Unclonable Function using LEDs and LDRs 12

Implementation of a Physically Unclonable Function using LED...

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12th International Conference on Modern Circuits and systems Technologies, MOCAST 2023

作者： Hristov, Emil Picos, Rodrigo De Benito, Carol Stavrinides, Stavros G. Arul, Tolga Anagnostopoulos, Nikolaos A. Moner Al Chawa, M. Universitat de les Illes Balears Industrial Engineering Dept. Palma Spain International Hellenic University Physics Department Kavala Greece University of Passau Faculty of Computer Science and Mathematics Passau Germany Technical University Dresden Institute of Circuits and Systems Dresden Germany

ISBN: (纸本)9798350321074

This work introduces a novel Physically Unclonable Function (PUF) based on the characteristics of Light-Emitting Diodes (LEDs) and Light-Detecting Resistors (LDRs) as long as these are combined. Specifically, we profit from the variations in the optical output of an LED caused by process variations, as well as from the variations in LDRs. In this way, our work allows for providing a PUF based on optical components, whose electrical response is a function of the used components. Notice that the electrical response refers not only to the static but also to the dynamical behavior. This way, a unique, double-component system can be easily constructed. © 2023 IEEE.

关键词： Light emitting diodes

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Regression Model for Optimum Solar Collectors' Tilt Angles in Libya 8

Regression Model for Optimum Solar Collectors' Tilt Angles i...

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8th International engineering Conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Nassar, Yasser F. Khozondar, Hala J. El- Abouhmod, Nasser M. Abubaker, Ahmed A. Ahmed, Abdussalam A. Alsharif, Abdulgader Khaleel, Mohamed M. Elnaggar, Mohamed El-Khozondar, Rifa J. Wadi Alshatti University Mechancal & Renewable Energy. Eng. Dept. Brack Libya The Islamic University of Gaza Electrical Eng. and Smart Systems Dept. Gaza Palestine Wadi Alshatti University Eng. Faculty Electrical and Electronic Eng. Dept. Brack Libya Bani Waleed University Mechanical Eng. Dept. Bani Waleed Libya Faculty of Engineering Johor Malaysia Karabu University Dept. of Electrical and Electronic Eng. Karabuk Turkey Palestine Technical College - Deir ElBalah Engineering Program Department Deir El-Balah Palestine Al-Aqsa University Faculty of Science Physics Departments Gaza Palestine

ISBN: (纸本)9798350300758

The present study presents a regression function for optimum tilt angle for fixed mode flat-plate solar harvesters suitable for different locations in Libya, sky conditions and albedo values. The research based on 14 years -15 minutes time series solar irradiation components which provided by Solargis database platform for 24 different locations in Libya, based on the contract signed between the Solargis Company and Wadi AlShatti University. Several transposition models are applied - corresponding to each location - for estimating the tilted global solar irradiance components according to recommendation of a local recent study. The proposed model corrects the optimum tilt angle by involving the three components of the solar irradiation: direct beam, sky-diffused and ground reflected solar irradiances. The results proved the applicability and reliability of the obtained regression model. In addition, results showed the high potential of the proposed model for use in engineering design, eco-energetic analysis and optimum design processes. © 2023 IEEE.

关键词： Location

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Optical Evanescent Field for Direct Observation of Sub-100nm Particle Motion on Glass Surface

Optical Evanescent Field for Direct Observation of Sub-100nm...

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Robotics, engineering, Science, and Technology (RESTCON), International Conference on

作者： Panart Khajornrungruang Thitipat Permpatdechakul Keisuke Suzuki Aran Blattler Yutaka Terayama Daiki Goto Pipat Phaisalpanumas Natthaphon Bun-Athuek Amornphun Phunopas Dept. of Intelligent and Control System Faculty of Computer Science and Systems Engineering Mechanical Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Interdisciplinary Informatics Graduate School of Computer Science and Systems Engineering Mechanical Information Science and Technology Division Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Production and Robotics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Intelligent and Control System Graduate School of Computer Science and Systems Engineering Mechanical Science and Technology Course Kyushu Institute of Technology Iizuka-Shi Fukuoka Japan Dept. of Industiral Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand Dept. of Mechanical Engineering Technology College of Industrial Technology King Mongkut’s University of Technology North Bangkok Bangsue Bangkok Thailand

To directly investigate the dynamic nanoscale phenomenon on the surface being processed in wet conditions such as precision polishing, and cleaning in semiconductor industrial, an optical method for visualization and observation of each sub-100 nm sized particle that is moving on an interface such as a silica glass surface by applying an evanescent field have been proposing. Subsequently, we developed an experimental apparatus equipped with an optical microscopy system for verifying the moving particle observation method in a laboratory scale. This article introduces some experimentally direct observation results of duplicated wet processes.

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Defensive Adversarial Training for Enhancing Robustness of ECG based User Identification∗

Defensive Adversarial Training for Enhancing Robustness of E...

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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Jeong, Hongbi Son, Junggab Kim, Hyunbum Kang, Kyungtae Hanyang University Dept. Applied Artificial Intelligence Major in Bio Artificial Intelligence Ansan Korea Republic of University of Nevada Las Vegas Dept. Computer Science Las VegasNV89154 United States Incheon National University Dept. Embedded Systems Engineering Incheon Korea Republic of Hanyang University Dept. Applied Artificial Intelligence Ansan Korea Republic of

ISBN: (纸本)9781665468190

Electrocardiogram (ECG) based user identification has received considerable attention with the advent of wearable devices. It provides emerging applications including personal healthcare a convenient way to authenticate users as the process can be performed at the moment the user makes contact with the device. However, a recent study discovered that injecting noise into the signal transmitted from the user to an application can effectively hinder the classification process. Many efforts have been made to deal with this noise injection attack, but most approaches have focused on noise removal. In contrast, this paper proposes Defensive Adversarial Training (DAT), which involves training a model with various noisy data to enhance the robustness of deep learning-based identification algorithms. We used two types of noise, Gaussian and Laplacian, to create noisy data. In addition, a sliding-window technique was used to effectively extract useful features and to achieve better accuracy. Our simulation results demonstrate that the proposed approach is highly robust to noise injection attacks and even against random noise. A comparative analysis with noise removal schemes also shows that the proposed DAT significantly enhances the robustness of ECG-based user identification. © 2022 IEEE.

关键词： Electrocardiograms

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Arabic Sentiment Analysis of Food Delivery Services Reviews

Arabic Sentiment Analysis of Food Delivery Services Reviews

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International Symposium on Networks, computers and Communications (ISNCC)

作者： Dheya Mustafa Safaa M. Khabour Ahmed S. Shatnawi Eyad Taqieddin Dept. of Computer Engineering Faculty of Engineering The Hashemite University Zarqa Jordan Dept. of Information Systems Faculty of Information Technology and Computer Sciences Yarmouk University Irbid Jordan Dept. of Software Engineering Jordan University of Science & Technology Irbid Jordan Dept. of Cyber Security School of Computing and Informatics Al-Hussein Technical University Amman Jordan

Customer reviews on online platforms have grown to become an important source of insight into a company's performance. Food delivery services (FDS) companies aim to effectively use customers' feedback to identify areas for improvement of customer satisfaction. Although Arabic is becoming one of the most widely used languages on the Internet, only a few studies have focused on Arabic sentiment analysis to date. The present study conducts an extensive emotion mining and sentiment analysis on FDS-related reviews in Arabic, exploiting natural language processing, and machine learning techniques to extract information that reflects customers' subjective viewpoints, recognize their feelings, and determine polarity in the FDS domain. This work begins with collecting the FDS dataset (Talabat), and then extracting and creating a dialects lexicon for Arabic dialects, followed by walking the reader through detailed steps of cleaning and pre-processing a manually annotated dataset. Finally, we examined classification algorithms including Decision Tree (DT), and Support Vector Machine (SVM). We achieved a maximum accuracy of about 82% using the SVM classifier.

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Current Vector Control of AC Servo Motor Considering Output Delay of PWM Inverter

Current Vector Control of AC Servo Motor Considering Output ...

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International Workshop on Advanced Motion Control (AMC)

作者： Haruta Shimamoto Takashi Yoshioka Shiro Urushihara Advanced Course in Industrial and Systems Engineering National Institute of Technology Kagawa College Takamatsu Japan Dept. of Electrical and Computer Engineering National Institute of Technology Kagawa College Takamatsu Japan

In this paper, to expand a control bandwidth of AC servo motor, a new current vector control considering an output delay of PWM Inverter is proposed. The proposed current control is a I-P control with an additional feedback gain, which is based on an extended state feedback consisted from a d-q motor model, the output delay of PWM inverter and an integrator of ACR. In addition, the proposed method is easy to implement to the existing AC servo system. The effectiveness of proposed method is validated in a computer simulation and an experiments using a 3.7 kW class motor test bench. In the condition that a cut-off frequency of ACR is close to a carrier frequency, the simulation results show that the proposed method dramatically improves the current response at the higher cut-off frequency. Moreover, the experimental results show that the proposed method dramatically improves the current response at each operating point. From the results, the proposed method is effective to the expand the bandwidth of AC servo motor.

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Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements 36

Digital Map Generation Workflow Demonstrated on ZalaZONE Aut...

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36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023

作者： Somogyi, Árpád Tettamanti, Tamás Varga, Pál Szalay, Zsolt Baranyai, Dániel Lovas, Tamás Budapest University of Technology and Economics Fac. of Civil Engineering Dept. of Photogrammetry and Geoinformatics Budapest Hungary Institute for Computer Science and Control The Eötvös Loránd Research Network Systems and Control Laboratory Budapest Hungary Budapest University of Technology and Economics Fac. of Electrical Engineering and Informatics Dept. of Telecommunications and Media Informatics Budapest Hungary Budapest University of Technology and Economics Fac. of Transportation Eng. and Vehicle Eng. Dept. of Automotive Technologies Budapest Hungary

ISBN: (纸本)9781665477161

One major goal of digital twin technology applied in the Architecture, engineering, and Construction (AEC) Industry is the mapping of roads and road environments with their associated information. Such digital twins can support cost-effective testing, simulations, and the production of mapping backgrounds for automated vehicles and generally for Cooperative, Connected and Automated Mobility (CCAM) developments. The efficient workflow that leads from data acquisition to finished products depends on a number of requirements and knowledge sets. The main contribution of the paper is a general methodology of creating HD-map from point cloud and image data set. Accordingly, the most widely used survey techniques are presented and the requirements for the objects to be derived are summarized. The paper then outlines a general implementation procedure as an expert knowledge through a real-life example, where the results obtained for the ZalaZONE Automotive Proving Ground are demonstrated. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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EPA ECC: Error-Pattern-Aligned ECC for HBM2E

EPA ECC: Error-Pattern-Aligned ECC for HBM2E

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International Technical Conference o Circuits/systems, computers and Communications (ITC-CSCC)

作者： Kiheon Kwon Dongwhee Kim Soyoung Park Jungrae Kim Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Republic of Korea Dept. of Semiconductor and Display Engineering Sungkyunkwan University Suwon Republic of Korea Dept. of Artificial Intelligence Sungkyunkwan University Suwon Republic of Korea Dept. of Semiconductor Systems Engineering Sungkyunkwan University Suwon Republic of Korea

DRAM vendors introduced On-Die Error Correction Codes (OD-ECC) to correct errors internally. Most OD-ECCs are based on Single Error Correction to correct individual bit errors. However, recent soft error experiments on HBM2 reveal that DRAM frequently experiences multi-bit errors, necessitating a stronger OD-ECC solution. This paper introduces a novel OD-ECC, EPA ECC, specifically designed to correct frequently-observed multi-bit error patterns. The key innovation of EPA ECC is the construction of multi-bit symbols aligned with common error patterns, and the application of Reed-Solomon codes to correct severe errors without increasing the redundancy ratio. Our evaluation demonstrates that EPA ECC provides higher memory reliability than the current SEC-DED OD-ECC without incurring significant system performance degradation.

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Zero-Shot Vision-and-Language Navigation with Collision Mitigation in Continuous Environment

arXiv

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arXiv 2024年

作者： Jeong, Seongjun Kang, Gi-Cheon Kim, Joochan Zhang, Byoung-Tak Interdisciplinary Program in Artificial Intelligence Seoul National University Korea Republic of Dept. of Computer Science and Engineering Seoul National University Korea Republic of Korea Republic of

We propose the zero-shot Vision-and-Language Navigation with Collision Mitigation (VLN-CM), which takes these considerations. VLN-CM is composed of four modules and predicts the direction and distance of the next movement at each step. We utilize large foundation models for each modules. To select the direction, we use the Attention Spot Predictor (ASP), View Selector (VS), and Progress Monitor (PM). The ASP employs a Large Language Model (e.g. ChatGPT) to split navigation instructions into attention spots, which are objects or scenes at the location to move to (e.g. a yellow door). The VS selects from panorama images provided at 30-degree intervals the one that includes the attention spot, using CLIP similarity. We then choose the angle of the selected image as the direction to move in. The PM uses a rule-based approach to decide which attention spot to focus on next, among multiple spots derived from the instructions. If the similarity between the current attention spot and the visual observations decreases consecutively at each step, the PM determines that the agent has passed the current spot and moves on to the next one. For selecting the distance to move, we employed the Open Map Predictor (OMP). The OMP uses panorama dept. information to predict an occupancy mask. We then selected a collision-free distance in the predicted direction based on the occupancy mask. We evaluated our method using the validation data of VLN-CE. Our approach showed better performance than several baseline methods, and the OPM was effective in mitigating collisions for the agent. © 2024, CC BY-NC-ND.

关键词： Visual languages

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