Hasil untuk "Museums. Collectors and collecting"

Uma Mahesh Boda, Mallikharjuna Rao Nuka

Mobile data collection using controllable sinks is an effective approach to improve energy efficiency and data freshness in densely deployed wireless sensor networks (WSNs). However, existing path-planning methods are often heuristic-driven and lack the flexibility to adapt to high-level operational objectives under dynamic network conditions. In this paper, we propose ID2P2, a intent-driven diffusion-based path planning framework for jointly addresses rendezvous point selection and mobile data collector (MDC) tour construction in IoT-enabled dense WSNs. High-level intents, such as latency minimization, energy balancing, or coverage prioritization, are explicitly modeled and incorporated into a generative diffusion planning process that produces feasible and adaptive data collection trajectories. The proposed approach learns a trajectory prior that captures spatial node distribution and network characteristics, enabling the MDC to generate paths that align with specified intents while maintaining collision-free and energy-aware operation. Extensive simulations are conducted to evaluate the effectiveness of the proposed framework against conventional path-planning baselines. The results demonstrate that ID2P2 consistently outperforms representative baselines, achieving up to 25-30% reduction in tour completion time and travel overhead, approximately 10-30% improvement in data freshness, and 15-30% gains in energy efficiency and packet delivery performance, while maintaining higher throughput and fairness as network density increases, confirming its robustness and scalability for WSNs.

Joseph Damouni, Wadia Tanus, Naomi Unkelos-Shpigel

Static information presentation in VR cultural heritage often causes cognitive overload or under-stimulation. We introduce a closed-loop adaptive interface that tailors content depth to real-time visitor behavior through implicit multimodal sensing. Our approach continuously monitors gaze dwell, head kinematics, and locomotion to infer engagement via a transparent rule-based classifier, which drives a Large Language Model to dynamically modulate explanation complexity without interrupting exploration. We implemented a proof-of-concept in the Berat Ethnographic Museum and conducted a preliminary evaluation (N=16) comparing adaptive versus static content. Results indicate that adaptive participants demonstrated 2-3x increases in reading engagement and exploration time while maintaining high usability (SUS = 84.3). Technical validation confirmed sub-millisecond engagement inference latency on consumer VR hardware. These preliminary findings warrant larger-scale investigation and raise questions about engagement validation, AI transparency, and generative models in heritage contexts. We present this work-in-progress to spark discussion about implicit AI-driven adaptation in immersive cultural experiences.

Moisés J. B. B. Davi, Felipe V. Lopes, Vinícius A. Lacerda et al.

The ongoing global transition towards low-carbon energy has propelled the integration of offshore wind farms, which, when combined with Modular Multilevel Converter-based High-Voltage Direct Current (MMC-HVDC) transmission, present unique challenges for power system protection. In collector cables connecting wind turbines to offshore MMC, both ends are supplied by Inverter-Based Resources (IBRs), which modify the magnitude and characteristics of fault currents. In this context, this paper investigates the limitations of conventional differential protection schemes under such conditions and compares them with enhanced strategies that account for sequence components. Using electromagnetic transient simulations of a representative offshore wind farm modeled in PSCAD/EMTDC software, internal and external fault scenarios are assessed, varying fault types and resistances. The comparative evaluation provides insights into the sensitivity and selectivity of differential protection and guides a deeper conceptual understanding of the evolving protection challenges inherent to future converter-dominated grids.

Youssef Ahmed, Arnob Ghosh, Chih-Chun Wang et al.

For status update systems operating over unreliable energy-constrained wireless channels, we address Weaver's long-standing Level-C question: do my packets actually improve the plant's behavior? Each fresh sample carries a stochastic expiration time -- governed by the plant's instability dynamics -- after which the information becomes useless for control. Casting the problem as a coupon-collector variant with expiring coupons, we (i) formulate a two-dimensional average-reward MDP, (ii) prove that the optimal schedule is doubly thresholded in the receiver's freshness timer and the sender's stored lifetime, (iii) derive a closed-form policy for deterministic lifetimes, and (iv) design a Structure-Aware Q-learning algorithm (SAQ) that learns the optimal policy without knowing the channel success probability or lifetime distribution. Simulations validate our theoretical predictions: SAQ matches optimal Value Iteration performance while converging significantly faster than baseline Q-learning, and expiration-aware scheduling achieves up to 50% higher reward than age-based baselines by adapting transmissions to state-dependent urgency -- thereby delivering Level-C effectiveness under tight resource constraints.

Noémie Etienne

The restitution of colonial collections is often hampered by a recurring argument: that of conservation. According to this rhetoric, only Western museums have the necessary expertise to conserve material heritage, thereby imposing the idea that museums elsewhere should adapt and conform to international standards. In recent years, however, this perspective has been challenged by a growing recognition of the diversity of conservation traditions and practices. In this article I would like to highlight an additional dimension: the appropriate flexibility of European museums in managing and loaning cultural heritage. The case of the puppets in the North of France will serve as an illustration of this dynamic. I will stress the importance of understanding the fluidity of museum practices worldwide and of moving beyond the often assumed epistemological opposition between, for example, 'African museums' and 'European museums'. Rather than reinforcing this divide, I will highlight the diversity and adaptability of different museum models, drawing on examples from France and Cameroon. For example, I will highlight cases where museums have found innovative solutions to allow different users to access their collections. In this context, repair emerges as both a material and immaterial practice, involving the physical transformation, activation, and circulation of collections.

Richele Grenge Vignoli

Resumo Esta pesquisa define, apresenta e discute a informação líquida na Ciência da Informação, assim como demonstra seus atributos diante das tecnologias da informação e comunicação. Utiliza os métodos de pesquisa bibliográfica com abordagem qualitativa e vasta busca bibliográfica. Como um objeto em construção, a informação líquida foi definida e seus atributos caracterizados como desafios à reflexão na Ciência da Informação. A pesquisa não objetivou trazer soluções aos problemas complexos da Ciência da Informação, mas instaurar discussões para refletir a informação nas ações da Ciência da Informação na contemporaneidade. A partir de sua definição e atributos, a informação líquida não visa fomentar dicotomias e, por isso, não é contrária ao que é material ou está em uma materialidade; ao que está sistematizado ou hierarquizado em sistemas; do conhecimento científico versus o de senso comum e à informação apenas no polo virtual e sob uso de tecnologias. Mas é favorável e propulsora de debates e práticas que rompam barreias que impeçam que a informação e a Ciência da Informação alcancem cientificidade e notoriedade social entre sujeitos da informação da pós-modernidade. Pretendeu-se constituir um corpus para os estudos da informação líquida no contexto da Ciência da Informação, assim como para a construção de seus atributos. A pesquisa e o objeto informação líquida foram apresentados como modo de reflexão para a Ciência da Informação e sua comunidade científica, e não apresenta, portanto, soluções, mas indagações e inquietações a serem pensadas e questionadas nas prerrogativas de suas práticas e escrutínio científico.

Suvir Mirchandani, Mia Tang, Jiafei Duan et al.

Imitation learning from human demonstrations has become a dominant approach for training autonomous robot policies. However, collecting demonstration datasets is costly: it often requires access to robots and needs sustained effort in a tedious, long process. These factors limit the scale of data available for training policies. We aim to address this scalability challenge by involving a broader audience in a gamified data collection experience that is both accessible and motivating. Specifically, we develop a gamified remote teleoperation platform, RoboCade, to engage general users in collecting data that is beneficial for downstream policy training. To do this, we embed gamification strategies into the design of the system interface and data collection tasks. In the system interface, we include components such as visual feedback, sound effects, goal visualizations, progress bars, leaderboards, and badges. We additionally propose principles for constructing gamified tasks that have overlapping structure with useful downstream target tasks. We instantiate RoboCade on three manipulation tasks -- including spatial arrangement, scanning, and insertion. To illustrate the viability of gamified robot data collection, we collect a demonstration dataset through our platform, and show that co-training robot policies with this data can improve success rate on non-gamified target tasks (+16-56%). Further, we conduct a user study to validate that novice users find the gamified platform significantly more enjoyable than a standard non-gamified platform (+24%). These results highlight the promise of gamified data collection as a scalable, accessible, and engaging method for collecting demonstration data.

Hilal Esra Yaldiz, Ozgur B. Akan

This study proposes a novel molecular communication (MC)-inspired nanomachine, PArticle COllector-Transmitter (PaCoT), to remove toxic heavy metals from the human circulatory system. PaCoT collects these toxic metals and transmits them to release nodes, such as lymph capillaries, before they reach critical organs. The design incorporates key physical parameters and operates through particle reception and release mechanisms. In the reception process, described as ligand-receptor binding reactions, modeled as a continuous-time Markov process (CTMP), PaCoT uses metallothionein proteins as receptors and heavy metals (e.g., Zn, Pb, Cd) as ligands. We assume that the toxicity condition (toxic (bit-1), non-toxic (bit-0)) is encoded into the concentration of heavy metal molecules. Thus, we consider that heavy metal concentration within the MC channel (e.g., human circulatory system) employs binary concentration shift keying (binary CSK). The concentration ratio of specific heavy metals is estimated to infer toxicity, i.e., a high ratio indicates toxicity and a low ratio suggests non-toxicity. Toxicity detection is achieved by monitoring the receptor bound duration in the presence of interferers and various types of heavy metals. After detecting and collecting toxic heavy metals, PaCoT securely retains them in a liquid medium (e.g., water) until release, employing two mechanisms: (1) a single-disc viscous micropump to regulate flow rate, and (2) Brownian motion to facilitate diffusion. PaCoT's performance is evaluated through MATLAB simulations, focusing on bit error probability (BEP) of the toxicity detection method, release time of molecules from PaCoT and energy consumption.

Manuel Moreno Alcaide, Julio M. Román Punzón, Miguel Valdivia García

Lo más destacado: • Este trabajo profundiza en el estudio de la villa romana de Salar (Granada)a partir de la aplicación de técnicas digitales para su recreación 3D con la intención de contribuir con los Objetivos de Desarrollo Sostenible(ODS). • Desarrollo metodológico para la recreación virtual de las estructuras excavadas con el uso de procedimientos fotogramétricos y aplicación de programas basados en motores de videojuego. • El resultado de este trabajo tiene como objetivo final la divulgación y puesta en carga social de la villa romana de Salar a través de su transferencia en una página web. Resumen: La villa romana de Salar (Salar, Granada) se ha convertido en uno de los principales referentes de la arquitectura rural de época romana en Hispania. El proyecto de investigación iniciado desde el año 2016, en colaboración entre el Ayuntamiento de Salar y la Universidad de Granada, ha supuesto el desarrollo de campañas de excavación estivas ininterrumpidas hasta la fecha. Estas intervenciones se han centrado en tres zonas (A, B y C), siendo objeto de este artículo las zonas A y B donde se ha excavado una zona de la pars urbana de una lujosa villa construida en el siglo IV d.C., sobre estructuras previas de época altoimperial. Destacan especialmente su articulación en torno a un peristilo, así como sus espacios de representación, triclinio, su rica decoración musiva, parietal y escultórica y sus innovadoras técnicas constructivas, como la empleada en la sala abovedada. Respecto al proyecto de investigación, desde su inicio se ha caracterizado por perseguir tres objetivos fundamentales: de investigación, conservación y transferencia del conocimiento generado a la sociedad, partiendo de una metodología de trabajo interdisciplinar, donde la implementación de técnicas digitales para la documentación arqueológica ha sido base imprescindible para su desarrollo. En la presente publicación presentamos la aplicación de técnicas digitales para la documentación arqueológica de la villa romana de Salar y su posterior reconstrucción hipotética, partiendo de un riguroso estudio científico previo y basado en los principios de la arqueología virtual. El resultado puede consultarse a través de una web de uso público donde se puede realizar la visita al estado actual de la excavación y a la interpretación reconstructiva en 3D, con diferentes informaciones sobre las fases históricas y edilicias, la planimetría y localización, un audiovisual e infografías en 3D, tanto en español como inglés.

CJ Martonchik

Francesc Net, Lluis Gomez

The intersection of Artificial Intelligence and Digital Humanities enables researchers to explore cultural heritage collections with greater depth and scale. In this paper, we present EUFCC-CIR, a dataset designed for Composed Image Retrieval (CIR) within Galleries, Libraries, Archives, and Museums (GLAM) collections. Our dataset is built on top of the EUFCC-340K image labeling dataset and contains over 180K annotated CIR triplets. Each triplet is composed of a multi-modal query (an input image plus a short text describing the desired attribute manipulations) and a set of relevant target images. The EUFCC-CIR dataset fills an existing gap in CIR-specific resources for Digital Humanities. We demonstrate the value of the EUFCC-CIR dataset by highlighting its unique qualities in comparison to other existing CIR datasets and evaluating the performance of several zero-shot CIR baselines.

J. M. Díaz-Bañez, J. M. Higes-López, M. A. Pérez-Cutiño et al.

In Concentrated Solar Power (CSP) plants based on Parabolic Trough Collectors (PTC), the Sun is tracked at discrete time intervals, with each interval representing a movement of the collector system. The act of moving heavy mechanical structures can lead to the development of cracks, bending, and/or displacements of components from their optimal optical positions. This, in turn, diminishes the overall performance of the entire system for energy capture. In this context, we introduce two combinatorial optimization problems to limit the number of tracking steps of the collector and hence the risk of failure incidents and contaminant leaks. On the one hand, the Minimum Tracking Motion (MTM)-Problem aims at detecting the minimum number of movements while maintaining the production within a given range. On the other hand, the Maximal Energy Collection (MEC)-Problem aims to achieve optimal energy production within a predetermined number of movements. Both problems are solved assuming scenarios where the energy collection function contains any number of local maximum/minimum due to optical errors of the elements in the PTCsystem. The MTM- and MEC-Problems are solved in O(n) time and O(n2mw*) time, respectively, being n the number of steps in the energy collection function, m the maximum number of movements of the solar structure, and w* the maximal amplitude angle that the structure can cover. The advantages of the solutions are shown in realistic experiments. While these problems can be solved in polynomial time, we establish the NP-hardness of a slightly modified version of the MEC-Problem. The proposed algorithms are generic and can be adapted to schedule solar tracking in other CSP systems.

Ricardo Arencibia-Jorge, Ibis Anette Lozano-Díaz, José Luis Jiménez-Andrade et al.

Abstract The current work aims to characterize the Mexican scientific production in 22 main fields and 151 thematic subfields, using a multidimensional methodology based on productivity, impact and Altmetric measures. Data were extracted from Dimensions database. Indicators available at Dimensions Analytics service were used and represented via LabSOM software and ViBlioSOM methodology, based on artificial neural networks. The characteristics of the major fields and their corresponding subfields were studied. Multidimensional maps based on the Kohonen algorithm were constructed. Activity index, attractivity index, relative impact, field citation ratio, percentage of publications with Altmetric Attention, and Altmetric Attention Score were the indicators chosen for visual representation. Mexican scientific production experimented an exponential growth during the period 2010-2019. Agricultural and Veterinary Sciences, Environmental Sciences, Physical Sciences, Biological Sciences, Earth Sciences, Mathematical Sciences and, surprisingly, History and Archeology achieved the best bibliometric performances in relation to the world. The artificial intelligence-based method allowed the analysis of specific characteristics of Mexican scientific activities and common links among research practices in different knowledge domains.

Rüdiger Kelm

At the end of September 2023 the third face-to-face meeting of the partners from the RETOLD-project took place in Albersdorf in Northern Germany, hosted by the Stone Age Park Dithmarschen (Steinzeitpark Dithmarschen). The meeting took place in the recently opened new museum “Stone Age House” and in the open-air area of the Museum. The Stone Age Park Dithmarschen presents the oldest history in this region of Middle Europe, beginning with Palaeolithic times with reindeer hunters at the end of the ice age, continuing with the Mesolithic times of the last hunter-gatherer societies and ending, finally, in the Neolithic “village” of the first farmers. Special attention is given to educational work in front of the visitors.

J. Ostapkowicz, Cecilia Pennacini

Abstract This article charts the collection history of the only surviving precolumbian cotton reliquary (cemí) from the Dominican Republic, establishing its provenance from the mid-nineteenth century through a previously unpublished manuscript written by the collector, Rodolfo Domingo Cambiaso Sosa, and using archival documents in Italy. The cemí, found in a cave in the southwest of the country near the town of Petitrou (Enriquillo), was purchased in 1882 by Admiral Giuseppe Giovanni Battista Cambiaso, one of the founders of the Dominican Navy. It emerged in international publications commemorating the quadricentennial of the Spanish–Indigenous encounter in 1892 and shortly thereafter was sent to Genoa, Italy. It entered the collections of Turin's Royal Museum of Antiquities in 1928 before being passed to the newly established Museum of Anthropology and Ethnography. It was rediscovered by Dominican scholars in the 1970s and has inspired numerous investigations since, including renewed collaborative links between the Dominican Republic and Italy.

Tieming Chen, Qijie Song, Xuebo Qiu et al.

Recently, APT attacks have frequently happened, which are increasingly complicated and more challenging for traditional security detection models. The system logs are vital for cyber security analysis mainly due to their effective reconstruction ability of system behavior. existing log collection tools built on ETW for Windows suffer from working shortages, including data loss, high overhead, and weak real-time performance. Therefore, It is still very difficult to apply ETW-based Windows tools to analyze APT attack scenarios. To address these challenges, this paper proposes an efficient and lossless kernel log collector called Kellect, which has open sourced with project at www.kellect.org. It takes extra CPU usage with only 2%-3% and about 40MB memory consumption, by dynamically optimizing the number of cache and processing threads through a multi-level cache solution. By replacing the TDH library with a sliding pointer, Kellect enhances analysis performance, achieving at least 9 times the efficiency of existing tools. Furthermore, Kellect improves compatibility with different OS versions. Additionally, Kellect enhances log semantics understanding by maintaining event mappings and application callstacks which provide more comprehensive characteristics for security behavior analysis. With plenty of experiments, Kellect demonstrates its capability to achieve non-destructive, real-time and full collection of kernel log data generated from events with a comprehensive efficiency of 9 times greater than existing tools. As a killer illustration to show how Kellect can work for APT, full data logs have been collected as a dataset Kellect4APT, generated by implementing TTPs from the latest ATT&CK. To our knowledge, it is the first open benchmark dataset representing ATT&CK technique-specific behaviors, which could be highly expected to improve more extensive research on APT study.

Amin Mekacher, Alberto Bracci, Matthieu Nadini et al.

We quantify Non Fungible Token (NFT) rarity and investigate how it impacts market behaviour by analysing a dataset of 3.7M transactions collected between January 2018 and June 2022, involving 1.4M NFTs distributed across 410 collections. First, we consider the rarity of an NFT based on the set of human-readable attributes it possesses and show that most collections present heterogeneous rarity patterns, with few rare NFTs and a large number of more common ones. Then, we analyze market performance and show that, on average, rarer NFTs: (i) sell for higher prices, (ii) are traded less frequently, (iii) guarantee higher returns on investment (ROIs), and (iv) are less risky, i.e., less prone to yield negative returns. We anticipate that these findings will be of interest to researchers as well as NFT creators, collectors, and traders.

Gonzalo Maire

This article focuses on the study of the terms “collecting” or “collection”— particularly of the Asian type—in Chile, through the lens of the following working thesis: the term “collecting”, which involves both an acquisition practice and a particular relationship with its elements, has been fundamentally studied as an extension of, or in dependence to, the domain of the museum. This cardinal tenet involves, on the one hand, the decidability adopted by the phenomenon of collecting that is determined by its power to be registered or interpreted based on the enunciative dynamics of the museum field; on the other hand, I shall argue that this stems from its failure to constitute itself as an object which can exist outside the museum’s jurisdiction. Regarding this dependence or analogy of Asian Collecting on the area of influence of the museum, this investigation will describe the rules of formation which inform said dependence. By rules of formation, I shall refer to the possibility of a “language”, or special enunciation, dominion of the Museum over its objects, articulations, and its reproducible and verifiable scope areas. Specifically, two laws of museality will be developed in the present article, the museum’s heterotopia and the taxonomy of what is real. The Museum’s domain shall constitute, or rather, express, the positivity which is englobed in the concept of museality in reference to Michel Foucault’s definition. As such, this article focuses on the description of norms and rules which make up museality, and the manner in which Asian Collecting is subsumed to and made visible by the concept. For this article, catalogues of Asian collections—once belonging to private Chilean collectors—available in Chile will be used.

J. Mcaleer

Abstract In recent decades, historians have become increasingly interested in the logistical challenges and difficulties encountered by those responsible for the collection, preservation and safe transport of specimens from the field to the museum or laboratory. This article builds on this trend by looking beyond apparent successes to consider the practices and practicalities of shipboard travel and maritime and coastal collecting activities. The discussion focuses on the example of William Henry Harvey, who travelled to Australia in pursuit of cryptogams – non-flowering plants like mosses, lichens and algae – in 1853. In his private correspondence to family and friends, Harvey offered insights into the challenges and obstacles faced by all collectors in the period. His experiences were fundamentally shaped by the material culture, embodied knowledge and physical constraints he encountered on the way. On one level, shipboard and onshore collecting activities were facilitated by the connections forged by new technologies and Britain's global empire. But they also depended on specific contexts and relied on local agents and actors, as well as on the physical and technical facilities (and limitations) of those doing the collecting. The examples of Harvey and others shed light on the real, ‘lived’ experiences of individual collectors, the difficulties and challenges they encountered in amassing their collections, and the networks of people on which they relied.

Frances Joanna Guy