Reviewerly/exHarmony huggingface dataset:
Robust Syndrome Extraction via BCH Encoding

Quantum data-syndrome (QDS) codes are a class of quantum error-correcting codes that protect against errors both on the data qubits and on the syndrome itself via redundant measurement of stabilizer group elements. One way to define a QDS code is to choose a syndrome measurement code, a classical block code that encodes the syndrome of the underlying quantum code by defining additional stabilizer measurements. We propose the use of primitive narrow-sense BCH codes as syndrome measurement codes. We show that these codes asymptotically require $O(t\log\ell)$ extra measurements, where $\ell$ is the number of stabilizer generators of the quantum code and $t$ is the number of errors corrected by the BCH code. Previously, the best known general method of constructing QDS codes out of quantum codes requires $O(t^3\log\ell)$ extra measurements. As the number of additional syndrome measurements is a reasonable metric for the amount of additional time a general QDS code requires, we conclude that our construction protects against the same number of syndrome errors with significantly less time overhead.
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective

This review paper takes a comprehensive look at malicious attacks against FL, categorizing them from new perspectives on attack origins and targets, and providing insights into their methodology and impact. In this survey, we focus on threat models targeting the learning process of FL systems. Based on the source and target of the attack, we categorize existing threat models into four types, Data to Model (D2M), Model to Data (M2D), Model to Model (M2M) and composite attacks. For each attack type, we discuss the defense strategies proposed, highlighting their effectiveness, assumptions and potential areas for improvement. Defense strategies have evolved from using a singular metric to excluding malicious clients, to employing a multifaceted approach examining client models at various phases. In this survey paper, our research indicates that the to-learn data, the learning gradients, and the learned model at different stages all can be manipulated to initiate malicious attacks that range from undermining model performance, reconstructing private local data, and to inserting backdoors. We have also seen these threat are becoming more insidious. While earlier studies typically amplified malicious gradients, recent endeavors subtly alter the least significant weights in local models to bypass defense measures. This literature review provides a holistic understanding of the current FL threat landscape and highlights the importance of developing robust, efficient, and privacy-preserving defenses to ensure the safe and trusted adoption of FL in real-world applications.
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

This work focuses on the potential of Vision LLMs (VLLMs) in visual reasoning. Different from prior studies, we shift our focus from evaluating standard performance to introducing a comprehensive safety evaluation suite, covering both out-of-distribution (OOD) generalization and adversarial robustness. For the OOD evaluation, we present two novel VQA datasets, each with one variant, designed to test model performance under challenging conditions. In exploring adversarial robustness, we propose a straightforward attack strategy for misleading VLLMs to produce visual-unrelated responses. Moreover, we assess the efficacy of two jailbreaking strategies, targeting either the vision or language component of VLLMs. Our evaluation of 21 diverse models, ranging from open-source VLLMs to GPT-4V, yields interesting observations: 1) Current VLLMs struggle with OOD texts but not images, unless the visual information is limited; and 2) These VLLMs can be easily misled by deceiving vision encoders only, and their vision-language training often compromise safety protocols. We release this safety evaluation suite at https://github.com/UCSC-VLAA/vllm-safety-benchmark.
GART: Gaussian Articulated Template Models

We introduce Gaussian Articulated Template Model GART, an explicit, efficient, and expressive representation for non-rigid articulated subject capturing and rendering from monocular videos. GART utilizes a mixture of moving 3D Gaussians to explicitly approximate a deformable subject's geometry and appearance. It takes advantage of a categorical template model prior (SMPL, SMAL, etc.) with learnable forward skinning while further generalizing to more complex non-rigid deformations with novel latent bones. GART can be reconstructed via differentiable rendering from monocular videos in seconds or minutes and rendered in novel poses faster than 150fps.
CG-HOI: Contact-Guided 3D Human-Object Interaction Generation

We propose CG-HOI, the first method to address the task of generating dynamic 3D human-object interactions (HOIs) from text. We model the motion of both human and object in an interdependent fashion, as semantically rich human motion rarely happens in isolation without any interactions. Our key insight is that explicitly modeling contact between the human body surface and object geometry can be used as strong proxy guidance, both during training and inference. Using this guidance to bridge human and object motion enables generating more realistic and physically plausible interaction sequences, where the human body and corresponding object move in a coherent manner. Our method first learns to model human motion, object motion, and contact in a joint diffusion process, inter-correlated through cross-attention. We then leverage this learned contact for guidance during inference synthesis of realistic, coherent HOIs. Extensive evaluation shows that our joint contact-based human-object interaction approach generates realistic and physically plausible sequences, and we show two applications highlighting the capabilities of our method. Conditioned on a given object trajectory, we can generate the corresponding human motion without re-training, demonstrating strong human-object interdependency learning. Our approach is also flexible, and can be applied to static real-world 3D scene scans.
ToddlerDiffusion: Flash Interpretable Controllable Diffusion Model

Diffusion-based generative models excel in perceptually impressive synthesis but face challenges in interpretability. This paper introduces ToddlerDiffusion, an interpretable 2D diffusion image-synthesis framework inspired by the human generation system. Unlike traditional diffusion models with opaque denoising steps, our approach decomposes the generation process into simpler, interpretable stages; generating contours, a palette, and a detailed colored image. This not only enhances overall performance but also enables robust editing and interaction capabilities. Each stage is meticulously formulated for efficiency and accuracy, surpassing Stable-Diffusion (LDM). Extensive experiments on datasets like LSUN-Churches and COCO validate our approach, consistently outperforming existing methods. ToddlerDiffusion achieves notable efficiency, matching LDM performance on LSUN-Churches while operating three times faster with a 3.76 times smaller architecture. Our source code is provided in the supplementary material and will be publicly accessible.
Extending statistical data of EEG biofeedback quality improvement with soft computing

Aim. Automatic processing of the data in order to determine the status of work and identification of the activity and brain-wave frequencies becomes necessary for the modern systems in the in the diagnosis of biofeedback among athletes.&#x0D; Concept. The study aimed to explore the effects of physical exertion on alterations in the manifestation of brain wave frequencies (pre/post exercises) in a group of 15 endurance athletes.&#x0D; Results and conclusion. Statistic methods allowed an identification of data anomalies, such as extreme, outliers and missing values. Combining information with soft computing tool can distinguish the level of electrical activity of the analysed muscles. Used Big Data and Data Mining tools solution with a statistical approach while maintaining high measurement accuracy indicates the effectiveness of this method in medical diagnosis.
DEVELOPMENT OF ANDROID-BASED LEARNING MEDIA TO IMPROVE STUDENT UNDERSTANDING IN DIESEL MOTOR COURSES

This study aims to create an android-based learning media that is feasible to be applied in research and used in assisting the learning process and to determine the effect of using learning media in increasing student understanding of Diesel Motor courses, this is because face-to-face learning is replaced by online learning The two-way learning process is difficult to do and causes a lack of understanding of students regarding Diesel Motor courses, to overcome this, interesting and interactive learning media are needed. The method in this study uses RD (Research and Development) with a learning media development model in the form of ADDIE (Analysis, Design, Development, Implementation, Evaluation), and uses aresearch one group pretest posttest design. The sample in this study used a purposive sampling technique with the research subject of 2019 Automotive Engineering Education undergraduate students who were contracting Diesel Motor courses, researchers took a sample of 40 people. The learning media products that have been made are suitable for use based on the validation of material experts and media experts with very feasible categories. The results of this study indicate an increase in learning outcomes when viewed from the average pre-test score of 31.20 and the average post-test score of 37.80 as well as the acquisition of a significance test using the t-test (Paired Sample t-test). with a significance value of 0.000, this increase is caused by the use of learning media that has been made, so the use of this learning media has a good impact in increasing student understanding of the Diesel motor course, in addition, this learning media also adds insight to students in using technology, especially Android for learning purposes.
A Case Study on Behavior of Performing Art Appreciators in Public Space: Indonesian Puppet (Wayang) Performance Arts and Video Mapping

The presence of video mapping performances in Indonesia influences the behavior of appreciators in public spaces through acculturation. The propagation of Islamic teachings through wayang (puppet) shows had a fascinating impact on the history of public performances in Indonesia. Cultural acculturation can affect the behavior of public space appreciators or vice versa. This situation depends on the adaptability of appreciators with an Indonesian cultural background to changes in the format of public space performances. This change pertains to performance art incorporating innovative technology, such as wayang performances and video mapping. In order to conduct research on changes in appreciator behavior in public spaces, a descriptive-analytic method with an ethnographic and ethnological approach was required to examine Indonesian appreciators' ethnicity through wayang performances and literature studies. Then, it was compared to how the observatory video mapping performance was analyzed, such as Carl Gustav Jung's theory or Pierre Bourdieu's habitus perception, where the memory of previous inherited behavior influences current behavior or individual behavior is influenced by its social experience. This study's analysis revealed that the behavior of appreciators in public spaces, such as video mapping performances in Indonesia, which are renewable with the use of technology, is nearly similar to that of wayang performance appreciators.
Evacuation Preparation Equipment for Infant in a Flood Disaster a Case Study in Baleendah, Bandung Regency

Bandung Regency is one of the areas located on the banks of the Citarum River. Therefore, it risks flooding, especially in the rainy season. One of the flood disaster victims is an infant. When a flood occurs, infants rely on help from adults to survive. Currently, there is no special equipment to support the pre-evacuation and evacuation of the infant during the flood. Based on the abovementioned concerns, a means for evacuation is required so infants can avoid the flood and ease the evacuation. The method used in this design is Human Centered Design through three stages: inspiration, ideation, and implementation. The result of this research is the design of an infant evacuation preparation facility with the concept of a baby crib. This crib functions as a means for evacuating the infant safely and can also be used in daily activities to help with the bathing and lulling of the infant.
“REVIVE OR BECOME A SITE” DOCUMENTARY VIDEO OF THE JOURNEY OF MBETEK POTTERY AS AN EDUCATIONAL MEDIA

Malang is a city in East Java. Malang offers not only natural resources as tourist attractions, but also many others, one of which is pottery. Pottery is the art of crafting and shaping clay as desired. Pottery craftsmen who are still active in Malang reside in Pottery Village (Kampung Gerabah). There is a decline in the region’s pottery production center during the crisis. In fact, many pottery businesses went bankrupt; some residents left the profession and searched for new livelihoods. But lately the craftsmen who are still active produce pottery only by order, such as small pots, souvenirs, and wall decorations.&#x0D; The solution offered in this research is a documentary video to educate the audience, since the visual and audio elements of video can convey information such that it can easily be accepted by the audience. The research method used is observation, namely direct observation of the intended location and by conducting interviews with the craftsmen, which were then supported by literature studies sourced from books and journals. The process of designing this documentary video began with pre-production including concepts, storylines, storyboards, and continued with the shooting and editing production stages. The editing stage combined visual and audio elements including text, images, and backsound. Finally, post-production is the process of rendering, whereby all elements are converted into one format, a video form, so that it can be played on several media.&#x0D; &#x0D; Keywords: Pottery, Documentary, Craft, Video, Malang
Product Development Of Illustrated Children's Storybook Entitled "Senja" Into Children's Animated Video Stories

Product of illustrated story book for children are very commonly found. In the illustrated story books, there are 2 elements, namely image and text. The image content keeps the child interested with the book as well as helps to tell the event that happened. Existing text describes events and stories. This research discusses the product development of an illustrated story book entitled “Senja” into children's animated video stories. This research uses the research and development methodology. This research was limited to discuss on how to process existing data and images into animation and then merged with narration, background music, and put together to form animated videos. This study also discusses whether additional scenes are needed to improve the storytelling quality in animation. The results obtained from this study that the existing image assets in the illustrated children's storybook can be processed and developed into decent children's animated video stories by adding scenes to support storytelling. Background music that suitable with the scene was also needed to build the atmosphere in the animated video. Narration was also needed to strengthen the scene and storytelling.
Text-to-Speech Software and Reading Comprehension: The Impact for Students with Learning Disabilities

This literature review examines the use of text-to-speech (TTS) software as an accommodation for students with learning disabilities and its impact on improving reading comprehension. As the development and availability of TTS tools and assistive technologies have increased over the past decade, it is significant to explore how they are used to accommodate students at all levels of education to promote a universal design of learning. Based on a review of the current literature and utilizing self-regulated learning theory as a framework, four significant themes have emerged: (a) TTS being seen as a compensatory tool; (b) improving reading abilities and comprehension; (c) increasing student motivation and self-efficacy; and (d) the need for training for students, educators, and parents. Findings of this literature review revealed that overall, TTS software is commonly used as a compensatory tool (mainly at the postsecondary level), has assisted in students improving reading speed, fluency, and content retention, resulted in increased student self-efficacy in reading abilities and independent learning, and that there is a significant need to allocate training and technological resources to support students. As there are various directions for future research, exploring this area can contribute to schools promoting inclusive and accommodating learning environments.
SIMVR-SOLAR

Based on an innovative strategy in which the three-dimensional viewing was a starting point and not only a secondary feature, the SimVR-Solar was developed with the purpose to provide information for the development of design and simulation of photovoltaic systems in a more efficient and intuitive way to the user. The main associated idea is the possibility to provide the designer with several information and local conditions through a more systematic and comprehensive approach of the context in which the project will be implemented by analyzing the local shading effect caused by relief or obstacles and the instantaneous power generation data. In this context, this paper describes the computational tool until its present development stage, showing its main features and functionalities. The presentation is performed by an application example, whose development stages of design and simulation results are compared with ones obtained by some tools widely used in the photovoltaic area, demonstrating the potential and reliability of the tool.
ESTUDO DE PERFORMANCE DE SISTEMA FOTOVOLTAICO OPERANDO NA BAIXADA SANTISTA

The Brazilian coast, especially the Baixada Santista Metropolitan Region (RMBS), is in great demand for social, economic and environmental development. The photovoltaic (PV) solar energy generation sector is in growing expansion and exceeded 10 GW of installed power in Brazil, in 2021. This makes it a source of development opportunities to be included in the RMBS — an area of high populational density. The present work presents the performance evaluation of a PV system installed at the Federal University of São Paulo, campus Baixada Santista, in Santos/SP. The PV system operates close to the largest port in Latin America, responsible for a large portion of particulate matter emissions into the atmosphere. Santos has a tropical climate with well characterized seasons of dry winter and wet summer. This master’s research seeks to understand the performance of the PV system installed in Santos (between October/2020 and September/2021) and to estimate the financial impact of the investment. The methodology involved the description of the study area; the acquisition of environmental meteorological data with an impact on the PV generation, and output data from the studied PV system; and the use of computational tools for the operation simulation and for the evaluation of the performance indicators of the studied PV system. The performance parameters showed higher or similar values than to others operating systems in non-coastal Brazilian cities and in coastal cities abroad. Finally, the PV system showed better performance than that simulated by the SOLergo tool with regard to generated energy, probably due to the influence of local environmental variables not considered in the numerical simulations.
ESTUDO E AVALIAÇÃO DE DIFERENTES METODOLOGIAS PARA MODELAGEM MATEMÁTICA DE MÓDULOS FOTOVOLTAICOS

The P&amp;D Oásis-UFMG project, with the objective of reducing electricity costs, is installing a microgrid with photovoltaic generation systems on the Pampulha campus of the Federal University of Minas Gerais. Within this project, the PVOasis software was developed in MATLAB® 2021a, a tool to support future analysis and monitoring of GDFV. For this development, a study of three different methodologies for the modeling of photovoltaic modules was carried out, based on the one-diode model. All models were computationally implemented and their respective performances were obtained through comparison with datasheets and data obtained from photovoltaic plants in operation. It was observed, by the simulation results, a functioning consistent with reality, with values that correctly followed the variation of generated power measured in the module in operation, according to the change in irradiance and temperature of the cell. The best result found revealed a MAPE of 6.38% and an NRMSE of 11.00% for the power at the point of maximum power, with a greater influence of current on this result, as it presents a MAPE of 8.56% and a NRMSE of 11.09%, compared to the voltage results, which were much closer to reality, by the MAPE of 3.10% and the NRMSE of 4.31%. Due to the positive MBE values for most parameters, the methodologies overestimated the generation, but still showed great potential to compose the software under development.
DESEMPENHO ENERGÉTICO DE SISTEMAS FOTOVOLTAICOS CONECTADOS À REDE LOCALIZADOS NA EUROPA E NO SUL DO BRASIL A PARTIR DE ANÁLISE MULTI-ÍNDICES

The movement in favor of renewable energies is growing worldwide because of climate agreements that have as a main objective the reduction of greenhouse gases. Among the clean energy sources, solar energy shows a great growth both nationally and internationally. As a consequence of the expansion of the PV market, studies and research that have as a main goal avail the impacts and performance of this technology are gaining a larger space. A way of verify the behavior of photovoltaic systems is through the analysis of performance index, this index support the monitoring of photovoltaic systems and as a result, they reflect the main features of a system, like efficiency, productivity, loss of energy and performance, beyond that, the use of performance index allow the comparison of photovoltaic systems independently of geographic location and technology. This study presents the analysis of performance index using historic data of two systems located in Europe, in the cities of Delft (Netherlands) and Bratislava (Slovakia), and five systems located in the state of Santa Catarina (Brazil), in the cities of Araranguá, Criciúma, Meleiro, Meleiro/Sapiranga and Turvo. The main goal of this study is to use these data to compare and to verify the behavior of each of these systems installed in the South of Brazil, Slovakia and Netherlands, through the analysis of the performance index. The result of the analysis for each system is presented in the form of bar and line graphs. At the end of this study it is clear to see the oscillation of the capacity factor, productivity index and performance ratio, according to the solar incidence over the solar system and the temperature variation during the year.