Reviewerly/exHarmony huggingface dataset:
GAN fingerprint for active detection/attribution of fake media

The continuous progress of generative models is fostering impressive advances in a variety of applications ranging from videoconferencing through virtual reality, passing from fast and seamingless creation of personalized media. At the same time, the availability of increasingly powerful tools for the generation of synthetic contents raises concerns about the possibility of distinguishing synthetic and genuine contents. Possible misuses of generative models, in fact, include the creation of fake media to support misinformation campaigns, defamation, polarization of public opinion and so on. For this reason, several multimedia forensic techniques have been developed to distinguish fake and real contents and trace back the manipulation history of any piece of media. However, such techniques fall short of keeping the pace of technological advancements, in addition they are not suitable to be applied in the wild even because they rely on subtle traces that are usually washed away by common processing tools (e.g. lossy compression). In this talk, I will advocate the use of active forensics techniques relying on the introduction within the to-be-authenticated content of a unique fingerprint (a.k.a. watermark). The fingerprint should be introduced within the media at creation time and should not be possible to remove it without degrading the hosting content in a significant way. In contrast to classical watermarking, here the fingerprint is embedded within the generative model, rather than directly in the generated content. In fact, to retain its effectiveness the generative models should still introduce a detectable fingerprint also in the presence of model finetuning, pruning and compression. In this webinar, I will outline the main challenges and opportunities associated to generative model fingerprinting and and describe some recent works of mine in this field.
Surface Deformation Analysis of Facial Expressions Using Stereo Digital Image Correlation

Facial expression is an important way to reflect human emotions. Analyzing facial movements is an effective means of understanding expressions. In this paper, a classic optical measuring method called stereo digital image correlation (stereo-DIC or 3D-DIC) is employed to analyze the deformation of facial expressions. The forming processes of six basic facial expressions of certain experimental subject are analyzed through the strain calculated by 3D-DIC. Based on the calculated results, a novel deformation analysis strategy is introduced to dissect the details of facial expressions. The observations especially deal with the areas that deform first and the strain variation of the most active areas on the human face in the expressions. The presented investigations demonstrate the superior performance of 3D-DIC in the quantitative analysis of facial expressions. Such measuring method and analytical strategy might have potential value to further reveal the underlying human emotional fluctuation.
DETopK: training for DETR based models with Top K predictions noise

DETR is one of the first object detection models to apply the attention mechanism, which was proven to be very strong for many machine learning models. There have been many variants of DETR that can achieve competitive results on the COCO dataset, proving the DETR line’s capabilities of creating state-of-the-art models. In this paper, we present DETopK - a simple training method for DETR based models that focus on the detection area of object queries. Because of hardware limitation (2080Ti GPU), our experiment was performed with Deformable DETR multi-scale, on COCO-minitrain - a subset of the COCO dataset for a reasonable training time. It is very encouraging that the experimental results show that the proposed method helps Deformable DETR gain 0.27% in AP, 0.36% in AR and better accuracy overall when trained with our method.
New Research Trends in Designing E-Government Architecture Based on Blockchain Technology

Blockchain has garnered the most attention as the most important new technology that supports recent digital transactions via e-government. The most critical challenge for public e-government systems is reducing bureaucracy and increasing the efficiency and performance of administrative processes in these systems since blockchain technology can play a role in a decentralized environment and execute a high level of security transactions and transparency. So, the main objectives of this work are to survey different proposed models for e-government system architecture based on blockchain technology implementation and how these models are validated. This work studies and analyzes some research trends focused on blockchain and the future of e-governance for connecting citizens and smart cities, such as Using Blockchain in the Notarial Office (NO), using blockchain technology in the management of police complaints, exploring blockchain-enabled end-to-end security e-voting, using blockchain and smart contract technology for trusted and safe property registration and record management, and using a blockchain-enabled Vehicle Certification (BVC) framework. Finally, this work has proven that the issue of transforming governments from the traditional system to electronic governments based on blockchain technology has become an inevitable matter of time.
ClusROC: An R Package for ROC Analysis in Three-Class Classification Problems for Clustered Data

This paper introduces an R package for ROC analysis in three-class classification problems, for clustered data in the presence of covariates, named ClusROC. The clustered data that we address have some hierarchical structure, i.e., dependent data deriving, for example, from longitudinal studies or repeated measurements. This package implements point and interval covariate-specific estimation of the true class fractions at a fixed pair of thresholds, the ROC surface, the volume under the ROC surface, and the optimal pairs of thresholds. We illustrate the usage of the implemented functions through two practical examples from different fields of research.
Efficient preparation of the AKLT State with Measurement-based Imaginary Time Evolution

Abstract Quantum state preparation plays a crucial role in several areas of quantum information science, in applications such as quantum simulation, quantum metrology and quantum computing. However, typically state preparation requires resources that scale exponentially with the problem size, due to their probabilistic nature or otherwise, making studying such models challenging. In this article, we propose a method to prepare the ground state of the Affleck-Lieb-Kennedy-Tasaki (AKLT) model deterministically using an measurement-based imaginary time evolution (MITE) approach. By taking advantage of the special properties of the AKLT state, we show that it can be prepared efficiently using the MITE approach. Estimates based on the convergence of a sequence of local projections, as well as direct evolution of the MITE algorithm suggest a constant scaling with respect to the number of AKLT sites, which is an exponential improvement over the naive estimate for convergence. We show that the procedure is compatible with qubit-based simulators, and show that using a variational quantum algorithm for circuit recompilation, the measurement operator required for MITE can be well approximated by a circuit with a much shallower circuit depth compared with the one obtained using the default Qiskit method.
Cross-Platform Mobile App Development: The IscteSpots experience

Cross-platform development frameworks allow producing a single codebase for an app targeting web browsers and native mobile operating systems. However, detractors stress their limitations in accessing platform-specific features or achieving optimal performance compared to native platform development. Although interest in cross-platform development has increased recently, few case studies are published on using them, often on toy examples. Therefore, it is important to provide sound evidence on the usage of a cross-development platform for a full-fledged app development case study, from requirements specification to quality assurance, using well-understood standard modeling notations (UML and BPMN). This case study is about IscteSpots, a gamified app developed in the scope of Iscte's commemoration of its 50 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> anniversary to promote its heritage and history. Iscte is one of three public uni-versities based in Lisbon, Portugal. IscteSpots provides publicly organized access to a chronological corpus of the university's past and is available on web browsers and on Android and iOS smartphones. IscteSpots is specifically targeted to mobile devices, implementing a contest with gamification strategies, specially targeted to the current community members (students mostly, but also teaching and administrative staff). Development went through several iterations, including validations with groups of users that were instrumental in the app's continuous improvement. The vast majority of the suggested changes had repercussions at the Graphical user interface (GUI) level, that had to be propagated to the web, Android, and iOS platforms. The agility achieved by generating versions for the three target platforms, without noticeable degradation of execution efficiency and requiring only minor adaptations, amply proved the advantage of using a cross-platform framework.
Hybrid Model Transfer Learning ResNet50 and Support Vector Machine for Face Mask Detection

The Covid-19 virus caused a health crisis in Indonesia. This virus is so deadly that it has caused many fatalities which have caused the whole world including the government to pay major attention to the Covid-19 pandemic. The Indonesian government has issued several policies to prevent the spread of this epidemic, one of which is wearing a mask in public places. One approach that is widely used in the field of computer vision is the Convolutional Neural Network (CNN) transfer learning. In this study, Hybrid Model Transfer Learning ResNet50 and SVM with RGB to HSV preprocessing is presented to detect masks in facial images. This model consists of three process components. The first is preprocessing RGB images to HSV, the second component is for Feature Extraction with ResNet50 and the third is mask classification on face images with Support Vector Machine (SVM). From dataset of 7328 training and testing data were carried out. The first model, without preprocessing the image data with ResNet50, produces an accuracy of 86.52%. The second model, the model with preprocessing converts image data from RGB to HSV with ResNet50 resulting in an accuracy of 99.18%. In the third model, without preprocessing with ResNet50 and SVM which has an accuracy of 90.55%. The fourth model, the model with preprocessing converts image data from RGB to HSV with ResNet50 and SVM resulting in an accuracy of 98.36%.
Background: What Is a Chatbot?

Here we discuss what constitutes an entity with the designation of ChatbotChatbot? We will discuss what attributes and conditions determine what determines whether softwareSoftware can be considered a ChatbotChatbot and how they may differ across geographical and cultural boundaries.
Blockchain Based Decentralized Web Hosting System

Abstract: In today’s digital era, the internet heavily depends on a centralized framework where powerful servers support content on well-known platforms such as Facebook and Twitter. Although this centralization is proficient in content delivery, it comes with significant drawbacks, including a single point of failure and vulnerability to censorship. The need for a decentralized web hosting structure is growing due to its promise of content accessibility regardless of a user’s geographical location, while still maintaining the speed and reliability of conventional web services. Currently, the internet’s structure is defined by centralization, introducing risks related to cyber-attacks and service disturbances. For example, even a brief disruption to a large platform like Facebook can leave millions without internet access. Additionally, large corporations and government bodies possess significant control over the internet, enabling them to alter and censor content. To confront these problems, it becomes essential to develop a decentralized web structure that is publicly owned. This study delves into the issues arising from the centralized internet and investigates potential solutions by utilizing blockchain technology to decentralize web structure, subsequently improving traditional web services and fortifying the internet’s robustness and accessibility
Legal technology: A comprehensive analysis of their impact on legal industry and enhancing entrepreneurial opportunities

The continuous development of technology, showed an ongoing discussion about the impact of robots, artificial intelligence, and digitalization on our daily lives and professions. This article aims to analyze the advantages, disadvantages, and regulatory issues related to legal technologies in business. Specifically, it focuses on the use of technological tools in legal work and how lawyers can adapt and acquire the necessary skills. A thorough literature review was conducted to examine the influence of legal technology on commercial legal science. The findings reveal that legal technology plays a vital role in automating tedious tasks, improving efficiency, and reducing human errors within the field. Legal technology is intended to enhance lawyers' work rather than replace them entirely. Overcoming obstacles requires investing in adequate training programs while gradually adopting new behaviors within the industry.
Crafting Bodies and Auras: Speculative Designs for Transhuman Communication

Bodies exhibit communicative qualities, including gestures, facial expressions, body odors, and changes in proximity, like tattoos, clothing, and accessories. However, a transformative shift in human bodies looms ahead, propelled by transhumanism’s proposition of integrating machines with humans to enhance physical, sensorial, cognitive, and emotional capacities. This poster explores communication opportunities and potential consequences around transhuman technologies for the temporal alterations on the body through speculative designs. These speculations are formed based on four co-speculation workshops with the attendance of participants (N=35) with varying experiences in fiction creation and technology development. By envisioning flexible bodies, transforming into objects, detachable body parts, chameleon skin, and multimodal auras, our work contributes design speculations to spark discussions on the transformative impact of transhuman technologies on communication, prompting innovative investigations into this uncharted territory.
Exploring Temporal Context in Human Pose Estimation: Benefits of 2D vs. 3D Input Data

Abstract The human body pose estimation is a challenging task that has been tackled by many different approaches over the last decades. The importance of solving this problem is rooted in an ability to automatically identify the pose of a subject in visual data. Even though numerous methods have been proposed to address the task, there is still ambiguity over what input data format is more efficient to use. Moreover, studies have shown that incorporating temporal information can be beneficial in one setting while leading to excessive computational complexity in others. In this paper, we investigate the effect of spatio-temporal context on the accuracy of the final estimations in end-to-end pose estimation methods, most importantly, whether it offers any additional value over the single-frame pose data. Furthermore, to address the question of the appropriate input data format, we compare experiments using the most widely used 2D and 3D visual input data structures.
Research on Curriculum Reform of Physical Education Specialty in Colleges and Universities Based on OBE Concept

Physical Education Major in Colleges and universities is the main force to cultivate excellent physical education reserve talents in China. In order to improve the training quality of compound talents in physical education, this study takes the curriculum of physical education major in colleges and universities as the research object, and studies the curriculum structure, curriculum teaching mode, curriculum practice and curriculum evaluation of the curriculum of physical education major. The research shows that optimizing physical education curriculum based on OBE concept can meet the needs of physical education curriculum construction, deepen the curriculum reform of physical education, and help achieve the goal of training physical education professionals. However, based on the current research results, it is found that there are corresponding deficiencies in the implementation of each part. Therefore, this study puts forward the corresponding reform strategies according to the five contents emphasized by the OBE concept: everyone can succeed, personalized evaluation, proficiency, performance responsibility and ability standard. For the course structure, we should increase the types of elective courses and improve the proportion of technical courses; For the classroom teaching mode, adopt the flexible organization form of the course, update the design structure of the course and enrich the teaching methods of the course; For curriculum practice, we should pay attention to curriculum teaching practice and strengthen educational practice; For curriculum evaluation, comprehensive evaluation content and diversified evaluation methods are adopted.
About Some Features of Rationality

The article discusses some problems of the philosophical understanding of ratio­nality. When trying to answer the question about the specifics of rationality, we are faced with the need to define its criteria. Often, to identify them, they turn to the study of science as a normative form of rationality. Analysis of the history of science shows the existence of “crazy ideas” that can change the course of sci­entific research and contradict the previously accepted standards of scientific ra­tionality. This demonstrates that scientific rationality relies on existing para­digms and research programs. They are accepted by scientists due to their success. An important condition for considering a certain set of ideas as rational is that they have a history of successful application and use. This creates a con­ceptual space for the creation of “crazy ideas” that can “establish” new research worlds. It is shown that representatives of different cultures can follow different types of rationality, which conceptualize and “establish” the worlds of their own existence in different ways. They may be based on various intuitions and seem irrational to representatives of another culture. In this case, rationality should be considered as a mechanism for “establishing” and describing the world. It should allow solving problems related to existence in the world. This gives us reason to talk about the similarity of scientific rationality and other rationalities in the pos­sibility of “establishing” new worlds. As a result, there are many rationalities and the possibility of constructing projects for building communication between them.
Enhanced data security for file sharing: A hybrid approach combining RSA and Modified DES ciphers

This paper presents a hybrid implementation of the RSA and Modified DES encryption and decryption ciphers, combining the strengths of both algorithms for enhanced security and performance. The RSA algorithm, based on the difficulty of factoring large prime numbers, provides strong encryption capabilities using a public-key system. However, it can be computationally expensive for large amounts of data. To address this limitation, the Modified DES algorithm, known for its efficiency, is incorporated. The key generation process involves generating the RSA key pair and a symmetric key for Modified DES. The encryption process converts plaintext blocks into numerical values, encrypts them using the RSA public key, and then further encrypts them using Modified DES with the symmetric key. This hybrid encryption technique offers a double layer of security. For decryption, the process is reversed, with Modified DES decryption followed by RSA decryption. Extensive experimentation and analysis are conducted to evaluate performance and security. The results show that the hybrid implementation achieves a balance between security and efficiency. By combining asymmetric and symmetric encryption, the approach provides enhanced protection against attacks while mitigating computational overhead. The hybrid implementation of RSA and Modified DES is a promising solution for secure communication and data protection in various applications.
Geochemical distribution and ecological risk level of inorganic pollutant of River Ethiope sediment

This study assessed heavy metals concentration of River Ethiope, Delta State. The sediments was geochemically partitioned and analyzed using atomic absorption spectrophotometer in order to determined the concentration level and heavy fractions in Ethiope river sediments. Geochemically fraction results proved that 50% of the assessed metals were associated with Fe-Mn oxide fraction. &#x0D; Environmental risk factor revealed that cu will posed a greater potential threat to aquatic organisms among the investigated metals. It is therefore, recommended that agencies of government such as federal ministry of environment should routinely monitored Ethiope river sediments in order to ensure reduction in the level of contamination by heavy metals.
Bi-commutative digital contraction mapping and fixed point theorem on digital image and metric spaces

The contraction mapping theorem is a powerful and most useful method in constructing the solution of linear and nonlinear systems. The principle of Banach fixed point guarantees that a self-contraction mapping of a complete metric space has a unique fixed point which can be obtain using the limit of iteration technique defined by repeated images under mapping of an arbitrary starting point in space. In this paper, we propose a Bi-commutative (II-commuting) digital maps for Kannan and Reich contraction mapping theorem and analyze the existence and uniqueness of the fixed point in the framework of digital metric spaces. We applied the contraction and commutative maps methods in proving our results. The results obtained satisfies the existence and uniqueness condition of the Banach contraction principle for a digital contraction mapping in digital metric space.