Digital Memory Research Articles

Категория памяти в поэзии В. Кирюшина: онтологический аспект

The aim of the study is to identify the features of the phenomenon of memory in the poetry of the modern poet Victor Kiryushin. The object of the article is the ontological dimension of memory in the Russian artistic verbal culture, which in the work of the modern author is associated with the image of a soldier, the image of war, the image of an old woman-mother, poetics and aesthetics of the “saying thing”. The subject of the study is the figurative realization of the phenomenon of memory in V. Kiryushin’s poetic selection from the literary and socio-political almanac “Day of Poetry – XXI Century” (2023). Considerable attention is paid to the interaction between digital memory and contemporary art, Russian poetry, which has the qualities of cultural entelechy. Digital memory and cultural memory are compared. Great culturological potential of modern poetry for studying the national existence of Russia is revealed. The results of the study can be applied in the course of teaching courses on the culture and history of Russia in secondary and higher schools.

DIGITAL HISTORICAL MEMORY AND CIVIC IDENTITY OF STUDENTS IN THE REGION

The article poses the problem of the need to study the influence of digitalization on the formation of the historical memory of young people. Based on data from an online questionnaire (multi-stage combined sample, n = 700), the main vectors of constructing digital historical memory and its influence on the formation of civic identity of college and university students are presented using the example of the Republic of Mordovia. The calculation of the “digital historical memory” index made it possible to determine the directions of digital memory influence on the young people self-identity and on the assessment of the main factors of civic identity. A statistically significant relationship was revealed between the choice of “new media” as a source of historical memory formation and such indicators as age, level of education received. The objectives of the study also included the study of memory nodes (selection of the most significant events from the history of the country), digital practices (activities related to historical Internet resources and portals). The article makes an attempt to sociologically comprehend the production of digital historical memory in modern conditions, which, on the one hand, is hyperconnective, i.e. accessible to a large number of users and hyper-meditated - formed on the basis of various and many sources, and on the other hand, there is a great risk of producing a fake story and its different versions, far from scientific character and objectivity, The authors make the assumption, based on the data obtained, that in the new geopolitical conditions the influence of the “digital memory” index on the formation of Russian identity among young people can be described as positive, although this issue requires further research.

Neural Network-Based prediction for Cross-Temperature induced VT distribution shift in 3D NAND flash memory

In this study, a neural network (NN) was proposed for predicting the VT characteristics of NAND flash memories under cross-temperature conditions. The training data were obtained from commercial NAND flash memory chip measurements at various temperatures. The VT distribution shift caused by cross-temperature was accurately predicted by investigating the optimum data dimensions while minimizing the data generation process. Two types of NNs were used to achieve an accurate VT distribution prediction, and each network was optimized using specific parameters based on the data characteristics at various program verify levels. Finally, quantitative and visual evaluations were conducted to verify the performance of the trained NNs. When the program-measured temperature varied from low to high, the NNs achieved mean errors of 1.87%, 1.41% at low and 0.34%, 0.77% at high for the average and width of the VT distribution, respectively. Similarly, when the temperature varied from high to low, the corresponding mean errors were 2.01%, 0.74% at high and 0.23%, 1.59% at low. These findings demonstrate that NNs can minimize the procedures for detecting the VT distribution shift caused by cross-temperature, thereby offering a promising approach to enhance reliability in the presence of such effects.

High-Performance Ferroelectric Thin Film Transistors with Large Memory Window Using Epitaxial Yttrium-Doped Hafnium Zirconium Gate Oxide.

Preventing ferroelectric materials from losing their ferroelectricity over a low thickness of several nanometers is crucial in developing multifunctional nanoelectronics. Epitaxially grown 5 at. % yttrium-doped Hf0.5Zr0.5O2 (YHZO) thin films exhibit an atomically smooth surface, an ability to maintain ferroelectricity even at a thickness of 10 nm, and excellent insulating properties, making them suitable for use as gate oxides in ferroelectric thin film transistors (FeTFTs). Through the epitaxial growth of a YHZO/La0.67Sr0.33MnO3 (LSMO)/SrTiO3 (STO) heterostructure, YHZO effectively retains its ferroelectricity and orthorhombic single phase, leading to enhancing electron mobility (∼19.74 cm2 V-1 s-1) and memory window (3.7 V) in the amorphous InGaZnO4 (a-IGZO)/YHZO/LSMO/STO FeTFTs. These FeTFTs demonstrate a consistent memory function with remarkable endurance (∼106 cycles) and retention (∼104 s). Furthermore, they sustain a constant memory window even under ±6 V bias stress for 104 s and exhibit excellent stability even under ±6 V/1 ms pulse cycling for 107 cycles. For comparison, a transistor with the same structure was fabricated using epitaxial nonferroelectric LaAlO3 (LAO) and epitaxial undoped Hf0.5Zr0.5O2 (HZO) as alternatives to YHZO. This study presents a novel approach to exploit the potential of YHZO in FeTFTs, contributing to the development of next-generation logic-in-memory.

INTEGRATED CIRCUITS AND THEIR APPLICATIONS IN ELECTRONICS

The article deals with the integrated circuits and their applications in electronics. Integrated circuits (ICs) have revolutionized the field of electronics by enabling the integration of multiple components onto a single chip. This miniaturization has led to significant advancements in various electronic devices and systems. ICs offer numerous benefits, including compact size, energy efficiency, reliability, high speed, cost-effectiveness, flexibility, and scalability. The ability to combine different functions on a single chip has made ICs indispensable in a wide range of applications, from consumer electronics to industrial automation. The integration of digital signal processing, memory management, communication interfaces, and other functions on a single IC has enabled the development of sophisticated and high-performance devices.

When Monument Battles Go Digital: Russian–Ukrainian Conflicts over Material Heritage on Telegram

In the context of increasing conflicts over material heritage around the world, this article examines the role digital media play in battles over monuments. The rise of digital media brought significant changes to the cultural dynamics of heritage conflicts, which have not been adequately addressed in existing literature. Bringing together work on monuments, (digital) memory conflicts, and digital activism, we identify three key dimensions of monument battles in which the impact of digital media is most clearly visible: (a) participation, democratization, and deterritorialization; (b) reframing and contestation; and (c) mobilization and the online-offline movement of heritage battles. We illustrate these arguments drawing on a critical discourse analysis of monument battles on the messaging application Telegram in the context of Russia’s full-scale invasion of Ukraine, using a sample of 940 posts from both pro-Ukrainian and pro-Russian channels. We demonstrate that despite potentially providing space for alternative memory interpretations, online memory contestations over heritage contributed to the construction of polarized and mutually exclusive worlds.

Ferromagnetic materials for Josephson π junctions

The past two decades have seen an explosion of work on Josephson junctions containing ferromagnetic materials. Such junctions are under consideration for applications in digital superconducting logic and memory. In the presence of the exchange field, spin–singlet Cooper pairs from conventional superconductors undergo rapid phase oscillations as they propagate through a ferromagnetic material. As a result, the ground-state phase difference across a ferromagnetic Josephson junction oscillates between 0 and π as a function of the thickness of the ferromagnetic material. π-junctions have been proposed as circuit elements in superconducting digital logic and in certain qubit designs for quantum computing. If a junction contains two or more ferromagnetic layers whose relative magnetization directions can be controlled by a small applied magnetic field, then the junction can serve as the foundation for a memory cell. Success in all of those applications requires careful choices of ferromagnetic materials. Often, materials that optimize magnetic properties do not optimize supercurrent propagation, and vice versa. In this review, we discuss the significant progress that has been made in identifying and testing a wide range of ferromagnetic materials in Josephson junctions over the past two decades. The review concentrates on ferromagnetic metals, partly because eventual industrial applications of ferromagnetic Josephson junctions will most likely start with metallic ferromagnets (either in all metal junctions or junctions containing an insulating layer). We will briefly mention work on non-metallic barriers, including ferromagnetic insulators, and some of the exciting work on spin–triplet supercurrent in junctions containing non-collinear magnetic inhomogeneity.

Semiconductor Memory Technologies: State-of-the-Art and Future Trends

Semiconductor Memory Technologies: State-of-the-Art and Future Trends

Photonics-based wideband multi-format tunable radar jamming signal generator

A photonics-based radar jamming signal generator is proposed in this paper. By adjusting a polarization controller, interrupted-sampling repeater jamming (ISRJ), comb spectrum modulation jamming (CSMJ), ISRJ and CSMJ composite jamming can be respectively generated after photoelectric conversion. We have experimentally verified the generation of ISRJ signals with duty cycles of 50% and 25%, the generation of CSMJ signals with comb spectrum frequency intervals of 5 MHz and 10 MHz, and the generation of their composite jamming signals in the Ku band. Additionally, the ISRJ and CSMJ composite jamming effect of radar signals in the Ka band has been tested. After matched filtering processing, multiple false targets are produced and the total number of jamming targets can be up to 25, demonstrating significant jamming effects. The proposed structure can generate multi-format jamming signals without using digital radio frequency memory, which is suitable for producing high-frequency and large-bandwidth jamming signals. It can be applied in electronic countermeasure systems.

Comprehensive Analysis of Advancements and Challenges in Smartphone Semiconductor Technology

The unprecedented proliferation of smartphones globally has revolutionized communication, information access, and daily life activities. This remarkable growth is largely attributed to rapid advancements in semiconductor technology, which is at the heart of these devices. Semiconductor technology, encompassing processors, memory, and sensors, has been pivotal in enhancing the performance, efficiency, and functionality of smartphones. This paper presents a comprehensive analysis of semiconductor technology in modern smartphones, addressing the principles and advancements of core components such as processors, memory, and sensors. It highlights how miniaturization of transistors, advanced storage solutions, and innovative sensor technologies enhance smartphone performance, efficiency, and functionality. The challenges faced by semiconductor technology, including physical limitations, energy efficiency, heat management, and environmental sustainability, are also explored. Additionally, the paper discusses future prospects, emphasizing potential breakthroughs with extreme ultraviolet lithography, two-dimensional materials like graphene, and intelligent manufacturing techniques. These advancements promise to overcome current limitations, offering faster computational speeds, lower energy consumption, and reduced environmental impact. The study underscores the pivotal role of semiconductor technology in driving smartphone innovation while acknowledging the critical challenges that need addressing for future development.

A remote digital memory composite to detect cognitive impairment in memory clinic samples in unsupervised settings using mobile devices

Remote monitoring of cognition holds the promise to facilitate case-finding in clinical care and the individual detection of cognitive impairment in clinical and research settings. In the context of Alzheimer’s disease, this is particularly relevant for patients who seek medical advice due to memory problems. Here, we develop a remote digital memory composite (RDMC) score from an unsupervised remote cognitive assessment battery focused on episodic memory and long-term recall and assess its construct validity, retest reliability, and diagnostic accuracy when predicting MCI-grade impairment in a memory clinic sample and healthy controls. A total of 199 participants were recruited from three cohorts and included as healthy controls (n = 97), individuals with subjective cognitive decline (n = 59), or patients with mild cognitive impairment (n = 43). Participants performed cognitive assessments in a fully remote and unsupervised setting via a smartphone app. The derived RDMC score is significantly correlated with the PACC5 score across participants and demonstrates good retest reliability. Diagnostic accuracy for discriminating memory impairment from no impairment is high (cross-validated AUC = 0.83, 95% CI [0.66, 0.99]) with a sensitivity of 0.82 and a specificity of 0.72. Thus, unsupervised remote cognitive assessments implemented in the neotiv digital platform show good discrimination between cognitively impaired and unimpaired individuals, further demonstrating that it is feasible to complement the neuropsychological assessment of episodic memory with unsupervised and remote assessments on mobile devices. This contributes to recent efforts to implement remote assessment of episodic memory for case-finding and monitoring in large research studies and clinical care.

A processing advantage in favor of animate entities in incidental word learning in young children

Because of their evolutionary importance, it has been proposed that animate entities would be better remembered than inanimate entities. Although a growing body of evidence supports this hypothesis, it is still unclear whether the animacy effect persists under incidental learning conditions. Furthermore, few studies have tested the robustness of this effect in young children, with conflicting results. Using an incidental learning paradigm, we investigated whether young children (4- and 5-year-olds) would be better at learning words that refer to either human or animal entities rather than vehicle entities using pictures as stimuli. A sample of 79 children were asked to play digital Memory games while associations between pictures and words were presented incidentally. Consistent with the adaptive view of memory, the results showed that words associated with human and animal entities were better learned incidentally than words associated with vehicle entities. The visual complexity of the pictures did not influence this animacy effect. In addition, the more exposure to the pictures, the more incidental learning occurred. Overall, the results confirm the robustness of the animacy effect and show that this processing advantage can be found in an incidental learning task in children as young as 4 or 5 years. Furthermore, it is the first study to show that this effect can be obtained with pictures in children. The demonstration of the animacy effect with pictures, and not just words, is a prerequisite for an ultimate explanation of this effect in terms of survival.

Optimal Design of Group Orthogonal Phase-Coded Waveforms for MIMO Radar

Digital radio frequency memory (DRFM) has emerged as an advanced technique to achieve a range of jamming signals, due to its capability to intercept waveforms within a short time. multiple-input multiple-output (MIMO) radars can transmit agile orthogonal waveform sets for different pulses to combat DRFM-based jamming, where any two groups of waveform sets are also orthogonal. In this article, a group orthogonal waveform optimal design model is formulated in order to combat DRFM-based jamming by flexibly designing waveforms for MIMO radars. Aiming at balancing the intra- and intergroup orthogonal performances, the objective function is defined as the weighted sum of the intra- and intergroup orthogonal performance metrics. To solve the formulated model, in this article, a group orthogonal waveform design algorithm is proposed. Based on a primal-dual-type method and proper relaxations, the proposed algorithm transforms the original problem into a series of simple subproblems. Numerical results demonstrate that the obtained group orthogonal waveforms have the ability to flexibly suppress DRFM-based deceptive jamming, which is not achievable using p-majorization–minimization (p-MM) and primal-dual, two of the most advanced orthogonal waveform design algorithms.

C-Axis Aligned Composite InZnO via Thermal Atomic Layer Deposition for 3D Nanostructured Semiconductor.

Amorphous oxide semiconductors have been widely studied for various applications, including thin-film transistors (TFTs) for display backplanes and semiconductor memories. However, the inherent instability, limited mobility, and complexity of multicomponent oxide semiconductors for achieving high aspect ratios and conformality of cation distribution remain challenging. Indium-zinc oxide (IZO), known for its high mobility, also faces obstacles in instability resulting from high carrier doping density and low ionization energy. To address these issues and attain a balance between mobility and stability, adopting a highly aligned structure such as a c-axis aligned crystalline IGZO could be advantageous. However, limited studies have reported enhanced electrical performance using crystalline IZO, likely attributed to the high thermal stability of the individual components (In2O3 and ZnO). Here, we first propose a c-axis aligned composite (CAAC) IZO with superior TFT properties, including a remarkable performance of field-effect mobility (μFE) of 55.8 cm2/(V s) and positive-bias-temperature-stress stability of +0.16 V (2 MV/cm, 60 °C, 1 h), as well as a low subthreshold swing of 0.18 V/decade and hysteresis as 0.01 V, which could be obtained through optimization of growth temperature and composition using thermal atomic layer deposition. These results surpass those of TFTs based on nanocrystalline/polycrystalline/amorphous-IZO. We conducted a thorough investigation of CAAC-IZO and revealed that the growth temperature and cation distribution profoundly influence the crystal structure and device properties. Finally, we observed excellent compositional conformality and 97% step coverage of IZO on a high-aspect-ratio (HAR) structure with an aspect ratio reaching 40:1, which is highly promising for future applications. Our results include a detailed investigation of the influence of the crystal structure of IZO on the film and TFT performance and suggest an approach for future applications.

Deep Learning-Based Active Jamming Suppression for Radar Main Lobe

Due to the development of digital radio frequency memory (DRFM), active jamming against the main lobe of the radar has become mainstream in electronic warfare. The jamming infiltrates the radar receiver via the main lobe, covering up the target echo information. This greatly affects the detection, tracking, and localization of targets by radar. In this study, we consider jamming suppression based on the independence of RF features. First, two stacked sparse auto-encoders (SSAEs) are built to extract the RF characteristics and signal features carried out by the actual radar signal for subsequent jamming suppression. This method can effectively separate RF features from signal features, making the extracted RF features more efficient and accurate. Then, an SSAE-based jamming suppression auto-encoder (JSAE) is proposed; the mixed signal, including the radar signal, jamming signal, and noise, is input to JSAE for dimensionality reduction. Therefore, the radar signal and RF features, extracted by the two SSAEs in the previous step, are used to constrain the features of the reduced mixed signal. Moreover, we integrate the feature level and signal level to jointly achieve jamming suppression. The original radar signal is used to assist the radar signal reconstructed by the decoder. By first filtering out interference-related features and then reconstructing the signal, we can achieve better jamming suppression performance. Finally, the effectiveness of the proposed method is verified by simulating the actual collected data.

Underwater Visible Light Communication for Scuba Divers Health Monitoring System

Diving has become a common way of performing research in the underwater living world. One of the major problems with diving is the health issues faced by the divers during diving and there comes the need for monitoring diver’s health. This paper mainly focuses on the health monitoring systems for divers by transferring the data using Li-Fi (Light Fidelity). This system senses different health specifications like heartbeat, body temperature and body position. The monitored health specifications are recorded as a database in a memory chip for further analysis. To reduce the power consumption, the system transfers the data to the nearby divers and ships only during the abnormal health issue. The uniqueness of this system lies in its combination of advanced technologies for diver safety, communication, and submarine surveillance. This is crucial for ensuring their safety, especially in challenging underwater environments. This is perhaps one of the most unique aspects. Li-Fi, which uses light to transmit data, is a breakthrough for underwater communication. This system provides real-time data on the diver's condition and an immediate way to request assistance in case of an emergency. By incorporating temperature and gyro monitoring, the system collects valuable data on diver conditions and movements. This data could be analyzed for research or used to improve safety protocols in the future.

LIT: Lightning-fast In-memory Temporal Indexing

We study the problem of temporal database indexing, i.e., indexing versions of a database table in an evolving database. With the larger and cheaper memory chips nowadays, we can afford to keep track of all versions of an evolving table in memory. This raises the question of how to index such a table effectively. We depart from the classic indexing approach, where both current (i.e., live) and past (i.e., dead) data versions are indexed in the same data structure, and propose LIT, a hybrid index, which decouples the management of the current and past states of the indexed column. LIT includes optimized indexing modules for dead and live records, which support efficient queries and updates, and gracefully combines them. We experimentally show that LIT is orders of magnitude faster than the state-of-the-art temporal indices. Furthermore, we demonstrate that LIT uses linear space to the number of record indexed versions, making it suitable for main-memory temporal data management.

Crossing Number of Infinite Family of Extension Kochol's Periodic Graphs

At this time, technology is developing very quickly and is increasingly sophisticated. This technological development is certainly closely related to the development of computer technology. A computer is able to control a series of electronic devices using an IC chip that can be filled with programs and logic called microprocessor technology. A microprocessor is a digital component of the VLSI (Very Large Scale Integration) type with very high circuit complexity that is capable of carrying out the functions of a CPU (Central Processing Unit). Among many applications, the problem of crossing number very interesting and important because of its application in the optimization of chip are required in a circuit layout of VLSI. Crossing number used to obtain the lower bound on the amount of chip area of VLSI devices like microprocessor and memory chips additionally, crossings in the circuit layout could cause short circuit and therefore worth minimized independent of the chip area consideration. Some graph can be seen as built by small pieces. A principal tool used in construction of crossing-critical graphs are tiles. In the tile concept, tiles can be arranged by gluing one tile to another in a linear or circular fashion. The series of tiles with circular fashion form an infinite graph family. In this way, the intersection number of this family of graphs can be determined. In this research, has been formed an infinite family graphs The graph formed by gluing together many copies of the tile in circular fashion, where the tile consists of identical tile sections. The results obtained show that the graph has 3-crossing-critical of a graph.

Artificial Intelligence (AI) Based Game Development ``Memory Game'' for Training Functions Alzheimer and Dementia Cognitive

Smart games, especially crossword puzzles can be an effective tool in aiding cognitive and physical exercise by stimulating the brain and strengthening brain connections, which can help prevent or slow the progression of Alzheimer’s and dementia. This research aimed to develop a crossword puzzle game into a digital version in Bahasa Indonesia with Artificial Intelligence (AI) features. The benefit of this game product can be used as a cognitive therapy for Alzheimer’s and dementia sufferers. The research method used is game development using the Game Development Life Cycle (GDLC) model with stages of initiation, pre-production, implementation/development, testing, launch, and maintenance. Implementation of digital version using Unity 3D game engine with AI feature of hint generating. This research was carried out for 8 months. Game testing results were carried out by testing the functionality of game features and the results were that all features functioned well. The innovation and importance of this work was to implement the memory crossword puzzle game design into a digital version in Bahasa by implementing artificial intelligence methods for the hints feature. This work will inspire developers to do greater work on Bahasa and implement various features based on AI methods.
 Keywords: digital memory games, artificial intelligence, crosswords, game development

Art in circulation: Creating content and context for digital reproduction of artworks

AbstractThe use of digital museum objects has become an essential part of museums' communication and marketing strategies, research and teaching, and curatorial practices. This new visibility, amplified by the COVID‐19 crisis, has not only revealed the possibilities of digital museum objects but has also underscored significant challenges, including the intricate relationship between digital museum objects and physical objects, the impact of digital museum objects on knowledge creation, and the online interaction with art and cultural heritage. Furthermore, it has drawn attention to the digital platforms that host digital museum objects, ranging from museum collection databases to online encyclopedias, cultural heritage platforms, and social media. The present paper explores these issues by examining how digital platforms are changing the way digital reproductions of artworks are used and reimagined, both inside and outside the institutions that house the artworks. To illuminate these dynamics, it looks at specific case studies, including the Getty Challenge, the online circulation of Delacroix's La liberté guidant le peuple, and the collection databases of Belgian museums and of the Mauritshuis. Theoretically, it combines the art historical concept of circulation with the notion of gray and colored memory drawn from digital memory studies. In doing so, it conceives of museum databases and cultural heritage platforms, as spaces of participation and neglect, of memory and oblivion, with a vast potential for producing new perspectives on art and cultural heritage and telling new (art) histories. In conclusion, the paper advocates for “circulation” as a key concept for revitalizing online collections of digital reproductions of artworks.