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Design and deployment fashion marketplace with responsive web-based using 3D model viewing

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AIP Conference Proceedings 2024年第1期3222卷

作者： Iwan Sonjaya Noorlela Marcheta Chris Mulyawarman Chandra Department of Computer and Informatics Engineering Politeknik Negeri Jakarta Depok Jawa Barat Indonesia

The purchasing fashion products online often causes problems with inappropriate sizes or models. This can happen because buyers cannot confirm the size of clothes correctly before buying them. As a result, buyers may have to experience disappointment and difficulty when it comes to exchanging or requesting a refund for items that do not fit their size. To overcome the problem of inappropriate clothing sizes, the “Wear It” design was carried out, which is a responsive web-based e-commerce by implementing 3D clothing model visualization. The waterfall system development methodology and user-centered design were used in this research. In this study, 3D assets were created for a Marketplace that implements 3D visualization that can depict various body sizes. This allows the user to view different types of clothing and visualize how the clothing looks on the body according to their preferences. This system was tested using black box testing with 63 test scenarios and achieved 100% success. Tests were also carried out on usability with the system usability scale, achieving a final score of 82,875 in the category acceptable, grade A, and rating excellence. The result is an e-commerce platform that can display 3D visualization of the buyers’ body regarding the selected item.

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VILMA: A ZERO-SHOT BENCHMARK FOR LINGUISTIC AND TEMPORAL GROUNDING IN VIDEO-LANGUAGE MODELS

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arXiv 2023年

作者： Kesen, Ilker Pedrotti, Andrea Dogan, Mustafa Cafagna, Michele Acikgoz, Emre Can Parcalabescu, Letitia Calixto, Iacer Frank, Anette Gatt, Albert Erdem, Aykut Erdem, Erkut Koç University KUIS AI Center 2 Koç University Department of Computer Engineering Turkey University of Pisa Department of Computer Science Italy Institute of Information Science and Technologies "Alessandro Faedo" Italy Hacettepe University Department of Computer Engineering 6 Aselsan Research Turkey University of Malta Institute of Linguistics and Language Technology Malta Heidelberg University Department of Computational Linguistics Germany Amsterdam UMC University of Amsterdam Department of Medical Informatics Netherlands Amsterdam Public Health Methodology & Mental Health Amsterdam Netherlands Utrecht University Department of Information and Computing Sciences Netherlands

With the ever-increasing popularity of pretrained Video-Language Models (VidLMs), there is a pressing need to develop robust evaluation methodologies that delve deeper into their visio-linguistic capabilities. To address this challenge, we present VILMA1 (Video Language Model Assessment), a task-agnostic benchmark that places the assessment of fine-grained capabilities of these models on a firm footing. Task-based evaluations, while valuable, fail to capture the complexities and specific temporal aspects of moving images that VidLMs need to process. Through carefully curated counterfactuals, VILMA offers a controlled evaluation suite that sheds light on the true potential of these models, as well as their performance gaps compared to human-level understanding. VILMA also includes proficiency tests, which assess basic capabilities deemed essential to solving the main counterfactual tests. We show that current VidLMs’ grounding abilities are no better than those of vision-language models which use static images. This is especially striking once the performance on proficiency tests is factored in. Our benchmark serves as a catalyst for future research on VidLMs, helping to highlight areas that still need to be explored. © 2023, CC BY.

关键词： Computational linguistics

Experimental Investigation of a Recurrent Optical Spectrum Slicing Receiver for Intensity Modulation/Direct Detection systems using Programmable Photonics

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arXiv 2024年

作者： Sozos, Kostas Da Ros, Francesco Yankov, Metodi P. Sarantoglou, George Deligiannidis, Stavros Mesaritakis, Charis Bogris, Adonis The University of the Aegean Dept. of Information and Communication Systems Engineering Palama 2 Samos Karlovassi83200 Greece The Technical University of Denmark Department of Electrical and Photonics Engineering Ørsteds Plads Building 343 Kgs. LyngbyDK-2800 Denmark The University of West Attica Dept. of Informatics and Computer Engineering. Aghiou Spiridonos Egaleo Athens12243 Greece

Photonic computing and signal processing are rapidly regaining attention, capitalizing on the saturation of digital electronics capabilities, owed to the ending of the Moore’s law era. Optical communications are among the fields in which digital signal processing (DSP) struggles to offer a viable long-term solution, as its power consumption rises significantly in the latest generation optical links. For example, the traditional intensity modulation and direct detection (IM/DD) systems suffer from challenging problems as the chromatic dispersion induced power fading effect, which necessitates the use of powerful digital equalizers in the 800G and 1.6T optical transceivers. In this paper, we experimentally validate our previous numerical works in recurrent optical spectrum slicing (ROSS) accelerators for dispersion compensation in high-speed IM/DD links. For this, we utilize recurrent filters implemented both through a waveshaper and by exploiting novel integrated programmable photonic platforms. Different recurrent configurations are tested. The ROSS accelerators exploit frequency processing through recurrent optical filter nodes in order to mitigate the power fading effect, which hinders the transmission distance and baudrate scalability of IM/DD systems. By equalizing even 80 km of 64 Gb/s PAM-4 transmission in C-band, we prove that our system can offer an appealing solution in highly dispersive channels. We employ the simplest digital equalization in the form of a feed-forward equalizer (FFE), avoiding throughput, latency, and complexity restrictions that the decision feedback equalizer (DFE) and the maximum-likelihood sequence estimator (MLSE) impose. We achieve, with the use of programmable photonics, to reduce the bit error rate (BER) from 0.11 to less than 1x10-2 with the use of only two filter nodes, whereas BER approaches 10-3 when three nodes are incorporated. These results correspond to almost two orders of magnitude BER gain. © 2024 The Authors © 2024, CC

关键词： Optical fiber communication

Near-Field Channel Modeling for Holographic MIMO Communications

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arXiv 2024年

作者： Gong, Tierui Wei, Li Huang, Chongwen Alexandropoulos, George C. Debbah, Mérouane Yuen, Chau School of Electrical and Electronics Engineering Nanyang Technological University Singapore639798 Singapore Information Science and Electronic Engineering Zhejiang University Hangzhou310027 China Department of Informatics and Telecommunications National and Kapodistrian University of Athens Athens15784 Greece Department of Electrical Engineering and Computer Science Khalifa University of Science and Technology Abu Dhabi127788 United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France

Empowered by the latest progress on innovative metamaterials/metasurfaces and advanced antenna technologies, holographic multiple-input multiple-output (H-MIMO) emerges as a promising technology to fulfill the extreme goals of the sixth-generation (6G) wireless networks. The antenna arrays utilized in H-MIMO comprise massive (possibly to extreme extent) numbers of antenna elements, densely spaced less than half-a-wavelength and integrated into a compact space, realizing an almost continuous aperture. Thanks to the expected low cost, size, weight, and power consumption, such apertures are expected to be largely fabricated for near-field communications. In addition, the physical features of H-MIMO enable manipulations directly on the electromagnetic (EM) wave domain and spatial multiplexing. To fully leverage this potential, near-field H-MIMO channel modeling, especially from the EM perspective, is of paramount significance. In this article, we overview near-field H-MIMO channel models elaborating on the various modeling categories and respective features, as well as their challenges and evaluation criteria. We also present EM-domain channel models that address the inherit computational and measurement complexities. Finally, the article is concluded with a set of future research directions on the topic. Copyright © 2024, The Authors. All rights reserved.

关键词： Antenna arrays

Comprehensive Classification of Web Tracking Systems: Technological Insights and Analysis

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arXiv 2025年

作者： Tasoulas, Theofanis Gazis, Alexandros Tsohou, Aggeliki Ionian University Department of Informatics Corfu Greece Democritus University of Thrace Department of Electrical Engineering and Computer Greece

Web tracking (WT) systems are advanced technologies used to monitor and analyze online user behavior. Initially focused on HTML and static webpages, these systems have evolved with the proliferation of IoT, edge computing, and Big Data, encompassing a broad array of interconnected devices with APIs, interfaces and computing nodes for interaction. WT systems are pivotal in technological innovation and business development, although trends like GDPR complicate data extraction and mandate transparency. Specifically, this study examines WT systems purely from a technological perspective, excluding organizational and privacy implications. A novel classification scheme based on technological architecture and principles is proposed, compared to two preexisting frameworks. The scheme categorizes WT systems into six classes, emphasizing technological mechanisms such as HTTP protocols, APIs, and user identification techniques. Additionally, a survey of over 1,000 internet users, conducted via Google Forms, explores user awareness of WT systems. Findings indicate that knowledge of WT technologies is largely unrelated to demographic factors such as age or gender but is strongly influenced by a user's background in computer science. Most users demonstrate only a basic understanding of WT tools, and this awareness does not correlate with heightened concerns about data misuse. As such, the research highlights gaps in user education about WT technologies and underscores the need for a deeper examination of their technical underpinnings. This study provides a foundation for further exploration of WT systems from multiple perspectives, contributing to advancements in classification, implementation, and user awareness. © 2025, CC BY.

关键词： HTTP

Development of Buffer Zone into Living Lab - Garuda Smart City Framework: Systematic Review

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Development of Buffer Zone into Living Lab - Garuda Smart Ci...

International Conference on ICT For Smart Society (ICISS)

作者： Gunadi Emmanuel Suhono Harso Supangkat Ford Lumban Gaol Benny Ranti Doctor of Computer Science Bina Nusantara University Jakarta Indonesia Fakultas Sains dan Teknologi Univ. Katolik Musi Charitas Palembang Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Computer Science Department Binus Graduate Program - Doctor of Computer Science Bina Nusantara University Jakarta Indonesia

The phenomenon of urbanization in Indonesia is inevitable. The new residential and economic centers in suburban areas is also a problem in city development. The gradual planning and development of smart cities in a living lab require consideration of the right location for a living lab. This study wants to show that suburban areas as city buffer zones can become living laboratories for smart city development. The diversity of situations in cities and regencies across Indonesia, the potential for resources, and the problems faced are the challenges of developing a living lab - Garuda Smart City Framework. This research uses the method of reviewing the literature of research publications for the last five years (2019–2023) to obtain information on Smart City development in Indonesia. We collected selected articles from databases in Google Scholar, IEEE, and Scopus using the Publish and Perish 8. The search keywords used were garuda AND Smart city AND Framework. The findings show the potential and dynamics of buffer zones to become appropriate living laboratories. Smart city regional planning can more holistically involve neighborhoods and address urban issues.

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Predicting Gene Relations with a Graph Transformer Network Integrating DNA, Protein, and Descriptive Data

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Predicting Gene Relations with a Graph Transformer Network I...

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yibo Chen Dong Xu Richard Hammer Mihail Popescu Institute for Data Science and Informatics University of Missouri Columbia Columbia Missouri USA Department of Electrical Engineering and Computer Science University of Missouri Columbia Columbia Missouri USA Department of Pathology and Anatomical Sciences University of Missouri Columbia Columbia Missouri USA School of Medicine University of Missouri Columbia Columbia Missouri USA

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

Gene relation prediction is crucial for understanding cancer pathways and developing targeted treatments. This study proposes a novel Graph Transformer Network to predict gene relations by integrating DNA sequences, amino acids sequences, and gene descriptions. Utilizing the KEGG pathway database, our model aggregates diverse gene information to enhance gene regulatory pathway predictions. We encoded DNA sequences using DNA-BERT2, protein sequences using ESM2, and generated gene descriptions using ChatGPT, subsequently encoded by Bio-BERT. These embeddings were integrated and processed through a graph transformer with multi-head and single-head attention layers. Our results demonstrate that incorporating protein and description embeddings significantly improves predictive performance, while including DNA sequences shows marginal impact. The proposed model outperforms traditional machine learning and graph neural network-based methods, achieving an F-1 score of 0.893 on identifying whether two genes interact. This study highlights the potential of integrating multi-faceted genomic data to advance gene relation prediction, offering valuable insights for precision medicine and bioinformatics.

关键词： Proteins Protein engineering Biological system modeling Precision medicine DNA Genomics Machine learning Predictive models Transformers Bioinformatics

Your Eyes Show What Your Eyes See (Y-EYES): Challenge-Response Anti-Spoofing Method for Mobile Security Using Corneal Specular Reflections 1

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Your Eyes Show What Your Eyes See (Y-EYES): Challenge-Respon...

1st Workshop on Security and Privacy for Mobile AI, MAISP 2021

作者： Mohzary, Muhammad Almalki, Khalid J. Choi, Baek-Young Song, Sejun School of Computing and Engineering University of Missouri Kansas CityMO United States Department of Computer Science Jazan University Jazan Saudi Arabia College of Computing and Informatics Saudi Electronic University Riyadh Saudi Arabia

ISBN: (纸本)9781450386012

As the need for contactless biometric authentication becomes more significant during COVID-19, and beyond, the popular biometric authentication method for mobile devices, iris detection, and facial recognition confronts various usability, security, and privacy concerns, including mask-wearing and various Presentation Attacks (PA). Specifically, liveness detection against spoofed artifacts is one of the most challenging tasks as many existing methods cannot conclusively assess the user's physical presence in unsupervised environments. Even though several methods have been proposed for tackling PA with motion challenges and 3D mapping, most of them require expensive depth sensors and fail to detect sophisticated 3D reconstruction attacks. We present a software-based face PA Detection (PAD) method named "Your Eyes Show What Your Eyes See (Y-EYES),"which creates challenges and detects meaningful corneal specular reflection responses from human eyes. To detect human liveness, Y-EYES creates multiple screen image patterns as a challenge, then captures the response of corneal specular reflections using the front camera and analyzes the images using lightweight Machine Learning (ML) techniques. Y-EYES system components include challenge pattern generation, reflection image augmentation (e.g., super-resolution), and ML-based analyses. We have implemented Y-EYES as Android, iOS, and web apps. Our extensive experimental results show that Y-EYES achieves liveness detection with high accuracy at around 200 ms against various types of sophisticated PA. Y-EYES liveness detection can be applied for multiple contactless biometric authentications accurately and efficiently without any costly extra sensors. © 2021 ACM.

关键词： Mobile security

Exploring the Prediction of Personality Traits from Drug Consumption Profiles 28

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Exploring the Prediction of Personality Traits from Drug Con...

28th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2020

作者： Ferwerda, Bruce Tkalčič, Marko Department of Computer Science and Informatics School of Engineering Jonkoping University Jonkoping Sweden University of Primorska Koper Slovenia

ISBN: (纸本)9781450367110

The number of people that have been in touch with drugs is continuously increasing. Excessive intake of drugs becomes problematic when it turns into disorderly behaviors, such as addictions. In order to treat these disorderly behaviors, treatment plans often adhere to a one-size-fits-all approach with fixed and standardized steps. However, for effective treatment of disorderly behaviors it has been acknowledged that personalized treatment programs are necessary. The personality of people has been argued to be a factor that plays an important role in setting up effective treatment plans. In this work we explored the predictability of people's personality traits based on their drug consumption profile. Based on self-reported consumption frequencies of "abusable psychoactive drugs,"we found among 1878 respondents that drug consumption profiles can be used to predict people's personality traits. The prediction of personality traits can be used to circumvent intruding questionnaires and to implicitly create personalized treatment programs. © 2020 ACM.

关键词： Forecasting