Traditional Architecture Research Articles

A Coarse- and Fine-Grained Co-Exploration Approach for Optimizing DNN Spatial Accelerators: Improving Speed and Performance

The rapid advancement of deep neural networks has significantly increased demands for computational complexity and data volume. This trend is especially evident with the emergence of large language models, which have rendered traditional architectures such as CPUs and GPGPUs insufficient in meeting performance and energy efficiency requirements. Spatial accelerators present a promising solution by optimizing on-chip compute, storage, and communication resources. In exploring spatial accelerator design spaces, analytical model-based simulators and cycle-accurate simulators are commonly employed, each offering distinct advantages: high computational speed and superior simulation accuracy, respectively. However, the limited accuracy of analytical models and the slow simulation speed of cycle-accurate simulators impede the achievement of globally optimal solutions during design space exploration. Therefore, effectively leveraging the strengths of both simulator types while mitigating their inherent trade-offs is a critical challenge in designing customized spatial accelerators. In this work, we introduce a novel co-exploration methodology that integrates both coarse-grained and fine-grained approaches to navigate design and mapping spaces effectively. We utilize the rapid simulation capabilities of analytical models to perform coarse-grained global exploration, quickly eliminating designs and mapping configurations with inferior performance. Building on the results of this initial exploration, we employ cycle-accurate simulators to conduct fine-grained local exploration within the identified promising regions of the design and mapping spaces. This dual-phase approach aims to identify optimal hardware designs and dataflow mapping strategies that enhance performance and energy efficiency. The experimental results demonstrate that, compared to state-of-the-art methods, our approach reduces the number of exploration points by up to 99%, while achieving a 17.9% reduction in latency, a 2.5% decrease in energy consumption, and a 30.3% improvement in throughput.

O imaginaci českých rozvojových inženýrů

On the imagination of Czech development engineers. When it comes to designing buildings, the architects‘ or civil engineers‘ imagination plays an irreplaceable role. However, it remains a relatively unexplored topic in contemporary anthropology. In this study, I focus on the mobilization of imagination in the context of Czech development engineering, as taught and practised in the broader engineering community centred around the International Centre for Development Projects of the Czech Technical University. Here, imagination allows development civil engineers to replace elements to which they lack access while working on their designs (be it the development needs and characteristics of the target locality or its residents). At the same time, it allows them to test their solutions beforehand by means of thought experiments. Nevertheless, the broad use of imagination within the design process comes at a cost. While development constructions aspire to remain grounded in the local architectural tradition, the overuse of imagination might render such “tradition” a hollow concept. Replacing the local with the imaginary at the designing stage also leads to problems with the subsequent acceptance of the designs by the locals. However, most importantly, by reproducing and widening the divide between donors and recipients, an insufficiently critical deployment of imagination may undermine the main principles which underpin contemporary development engineering.

The Transmission and Development of Beijing Local Culture in Traditional Quadrangle Courtyards: A Comparison with Japanese Samurai Residences

Quadrangle courtyards have been the main living spaces for Beijing residents since the Ming and Qing dynasties, serving as a cultural calling card for Beijing and embodying the local culture and architectural features of the city for nearly a thousand years. This paper examines the unique traditional culture of the Beijing area through the study of Tan Zongjuns former residence and his hobbies, focusing on the inheritance and development of culture in the new era. It also compares with traditional Japanese architecture, such as the samurai residences. Through the research and comparison, this research finds that the quadrangle courtyard, as a place of residence for ancient and modern people, can not only reflect peoples class status but also their way of life. Although the construction of the quadrangle courtyard shares similarities with the culturally similar Japanese samurai residences, it still has its own uniqueness.

Enhancing Site Reliability Engineering (SRE) Observability: A Comprehensive Approach

The subject of applying software engineering techniques to IT operations to create scalable and highly reliable software systems is known as site reliability engineering, or SRE for short. To preserve system’s health, it heavily emphasizes automation, ongoing improvement, and efficient incident response. Observability, is the tracking and examination of system outputs in the form of metrics, logs, and traces with the goal of providing insight into the system's internal state, is one of the fundamental principles of SRE. This keeps systems reliable and effective by enabling the early detection and resolution of problems. SRE and observability work together to help businesses achieve high IT operations performance and reliability. The contemporary IT environment is becoming more and more complex as industries growing infrastructure use on-premises and cloud hosting, adding microservice design along with traditional monolithic application architectures. In the pursuit of observability, this diversity presents unique difficulties for SRE. This article sheds light on the significance of SRE observability, tools and tactics used by enterprises, and how site reliability engineering could be improved across numerous industries with the use of an open-source framework like Open Telemetry to strengthen observability.

Savaxay: An Assessment of a Traditional Ivatan House the Case of Teresita Nobleza House in Brgy: Raele, Itbayat, Batanes (Addressing Perspective of SDG 11)

Objective: The objective of this study is to investigate the structural integrity and cultural significance of the traditional Ivatan house, known as savaxay, in Itbayat, Batanes. The research aims to explore the application of modern engineering techniques to enhance the resilience of these traditional structures while preserving their cultural identity, addressing the perspective of SDG 11. Theoretical Framework: This study is framed within the concepts of vernacular architecture, resilience, and sustainable development. It draws on theories of disaster risk reduction, cultural preservation, and the integration of local building materials with modern engineering practices to promote the long-term sustainability of traditional structures in disaster-prone areas. Method: A mixed-methods approach was adopted, incorporating on-site observations, structural analysis, interviews with local artisans, and validation from community members. The study assessed the anatomy of the savaxay in terms of site conditions, foundation, stone walls, wood framing, roofing, and mechanical fasteners to understand the building technology used in the traditional construction of these houses. Results and Discussion: The study reveals that the traditional Ivatan house design, though resilient to past storm conditions, is no longer fully adequate for the increasing intensity of natural disasters. The findings suggest the need for modern engineering interventions, such as incorporating reinforced concrete to enhance stability, while maintaining the cultural identity through local materials like thatch cogon roofing and wood framing. Research Implications: This research provides insights into integrating cultural preservation with modern construction techniques to improve disaster resilience. The findings offer valuable recommendations for other disaster-prone areas that seek to preserve their traditional architecture while adapting to contemporary challenges. Originality/Value: This study contributes to the literature by highlighting the need to innovate traditional construction practices without compromising cultural identity. The research emphasizes the importance of sustainable, resilient architecture and serves as a model for other communities facing similar challenges in disaster resilience and cultural preservation.

Assessment of Traditional Ivatan Houses: The Case of Itbayat, Batanes, Philippines (Addressing Perspective of SDG 11)

Objective: The objective of this study is to investigate the traditional Ivatan houses in Itbayat, Batanes, Philippines, with the aim of assessing their architectural significance and alignment with Sustainable Development Goal (SDG) 11, focusing on sustainable cities and communities. Theoretical Framework: This study is grounded in the concepts of sustainable architecture and cultural heritage conservation. Theories on indigenous architecture, climate-responsive design, and sustainable development, particularly SDG 11, serve as the basis for evaluating the Ivatan houses' design and resilience. Method: The methodology adopted for this research comprises a qualitative case study approach, focusing on the architectural analysis of traditional Ivatan houses. Data collection was carried out through structured interviews with local residents, site visits, and photographic documentation of the structures. Observations and secondary data on the historical and cultural significance of these houses were also incorporated. Results and Discussion: The results revealed that traditional Ivatan houses are well-adapted to the local climate, utilizing local materials and sustainable building techniques. In the discussion, these findings are contextualized with SDG 11, highlighting how these houses contribute to sustainable living in the region. The study also discusses the preservation challenges and the impact of modern development on these structures. Research Implications: The practical and theoretical implications of this research include providing insights into the integration of traditional architecture with modern sustainability practices. The results can influence policies on heritage conservation and sustainable building practices in the region and beyond, promoting the preservation of cultural identity while supporting environmental sustainability. Originality/Value: This study contributes to the literature by offering a unique analysis of Ivatan houses within the context of SDG 11, focusing on their cultural, environmental, and architectural value. The relevance of this research is evident in its potential to guide future efforts in preserving indigenous architectural knowledge while promoting sustainable practices in local communities

Dragon Images in Japanese Culture: Genesis and Semantics

The article deals with the genesis, semantics, and functions of the dragon image in Japanese culture. The relevance of the study is due to the increased attention of researchers to the basic values of local cultures, issues of symbolism, inextricably linked to the problems of national self-identification. The methodological basis of the study is the structural-semiotic approach, which was used to analyze the value content of the dragon image, the descriptive-analytical method, and the method of cognitive interpretation of the semantics of linguistic means verbalizing the dragon image in the Japanese language. In contrast to the Western tradition, in the culture of the peoples of East Asia, a dragon is a revered and significant symbol of power, strength, and authority.Stories about dragons are found in ancient texts of both Hinduism and Buddhism. It is established that the formation and evolution of the dragon cult in Japan was influenced by the mythical Chinese dragons, Indian Naga snakes, and the belief in dragons as deities of the water element. The author examines the genesis and evolution of the dragon image in different historical epochs, the influence of cultural-historical, natural, and religious factors on its transformation. It is shown that, in medieval Japan, the dragon was considered the protector of Buddhism, personifying strength, wisdom, prosperity, good luck, and images of these mythical creatures became an organic element of Buddhist culture. Particular attention is paid to the analysis of the image of the dragon as a sign of the Chinese zodiacal calendar, the representations of dragons in Japanese mythology, fairy tales and legends, in Hitachi Fudoki, Kojiki, Nihon Shoki. In the mythological picture of the world of the Japanese, the dragon is ambivalent and has both positive and negative features.It is revealed that the image of the dragon occupies an important place in Japanese traditional culture, painting, architecture, arts and crafts, calendar holidays, is widely represented in proverbs and sayings, set phrases and idioms. The reference to Japanese phraseology allowed to expand the base of the study and to reveal the totality of ideas about the dragon in the worldview of native speakers of the Japanese language. The author concludes that, nowadays, the image of the dragon in Japan has lost its sacral significance and is mainly used as tribute to tradition.

Blockchain-Driven Optimized Chaotic Encryption Scheme for Medical Image Transmission in IoT-Edge Environment

Internet of Things (IoT) is adopted in a wide spectrum of applications in which a vast amount of data are produced and distributed to centralized cloud platforms to deliver various services. It involves smart devices that collect thousands of terabytes of heterogeneous data and deployed this to make instant decision that aids for the better performance and most comfort life. Traditional IoT architecture is heavily centralized, where it stores the most sensitive information that creates the multiple threats and security breaches as the attackers target towards these centralized cloud systems. To improve the security chain in IoT environment, edge computing (EC) was introduced to distribute the applications of IoT at the edge of the communication networks. However, these edge-based IoT are also vulnerable to many threats due to their decentralized and in secured management. Block chain (BC) technology offers a most trusted solution to resolve the security issues in the IoT-Edge computing environment. This research study presents the block chain driven medical image encryption technique using modified honey badger optimization with the ensemble chaotic systems. The proposed block chain framework uses the divergent methods that integrates differential scroll, Hénon chaotic maps and modified honey badger optimization to generate the optimum keys and high secured image data. These high secured data are stored in the block chain, ensuring the image security to be stored in edge nodes. The complete framework was experimented using Ethereum using Ganache API and Python3.19 are utilized as the major programs for designing the varied interfaces of the recommended model. The comprehensive experimentation is undertaken to assess the security strength of the recommended encryption scheme. The evaluation metrics like as NACI, UACI, Entropy and standard verification methods such as NIST standard tests are deployed and analyzed. To prove it security strength, proposed secured BC framework is compared with the wide-variety of secured frameworks. The experimental findings reveal that the suggested framework establishes a more robust and secure environment for image exchange, surpassing the performance of other blockchain-based systems in terms of integrity, robustness and security. Finally, the paper spreads the bright light of advantages in deploying the proposed framework to formulate the most secured environment in the IoT-Edge environment for medical image transmission.

THE USE OF DIRECT OBSERVATION TO EVALUATE THE DEGREE OF VISUAL COMFORT IN THE LIBRARY OF GUELMA UNIVERSITY

In libraries, the integration of natural light through illuminated spaces has long been a hallmark of aesthetically pleasing and comfortable environments, fostering an enjoyable reading experience without glare. This practice has been deeply rooted in architectural tradition for centuries. In reading rooms, proper lighting is essential for effectively supporting reading activities. The study employs various methods to collect data, including both data analysis and observation. For our research, we will specifically use observation as the primary investigative technique. This approach will allow us to analyze photographs taken in the library. The objective of this study is to assess visual comfort in relation to the quality of natural light in the reading room of the Guelma library, using an evaluation grid applied on two different days, one in winter and one in summer. The results will reflect the level of discomfort or comfort experienced during reading activities within the room. The grid will help explain the critical role of observation in this evaluation and provide insight into the current lighting conditions, along with the sensory experience related to the required visual comfort standards.

Research on the Classification of Traditional Building Materials in Southern Fujian Using the Reflection Intensity Values of Ground-Based LiDAR.

Ground-based LiDAR technology has been widely applied in various fields for acquiring 3D point cloud data, including spatial coordinates, digital color information, and laser reflectance intensities (I-values). These datasets preserve the digital information of scanned objects, supporting value-added applications. However, raw point cloud data visually represent spatial features but lack attribute information, posing challenges for automated object classification and effective management. Commercial software primarily relies on manual classification, which is time-intensive. This study addresses these challenges by using the laser reflectance intensity (I-value) for automated classification. Boxplot theory is applied to calibrate the data, remove noise, and establish polynomial regression equations correlating intensity with scanning distances. These equations serve as attribute functions for classifying datasets. Focusing on materials in traditional Minnan architecture on Kinmen Island, controlled indoor experiments and outdoor case studies validate the approach. The results show classification accuracies of 74% for wood, 98% for stone, and 93% for brick, demonstrating this method's effectiveness in enhancing point cloud data applications and management.

Braided interferometer mesh for robust photonic matrix-vector multiplications with non-ideal components.

Matrix-vector multiplications (MVMs) are essential for a wide range of applications, particularly in modern machine learning and quantum computing. In photonics, there is growing interest in developing architectures capable of performing linear operations with high speed, low latency, and minimal loss. Traditional interferometric photonic architectures, such as the Clements design, have been extensively used for MVM operations. However, as these architectures scale, improving stability and robustness becomes critical. In this paper, we introduce a novel photonic braid interferometer architecture that outperforms both the Clements and Fldzhyan designs in these aspects. Using numerical simulations, we evaluate the performance of these architectures under ideal conditions and systematically introduce non-idealities such as insertion losses, beam splitter imbalances, and crosstalk. The results demonstrate that the braid architecture offers superior robustness due to its symmetrical design and reduced layer count. Further analysis shows that the braid architecture is particularly advantageous in large-scale implementations, delivering better performance as the size of the interferometer increases. We also assess the footprint and total insertion losses of each architecture. Although waveguide crossings in the braid architecture slightly increase the footprint and insertion loss, recent advances in crossing technology significantly minimize these effects. Our study suggests that the braid architecture is a robust solution for photonic neuromorphic computing, maintaining high fidelity in realistic conditions where imperfections are inevitable.

Disappearance of vernacular character in rural residences: An assessment of residents’ requirements for rural residential façades and environments in Suzhou, Jiangsu, China

This study, framed within the context of the Harmonious and Beautiful Countryside policy, focuses on optimizing the living environment of rural housing by addressing the loss of diverse heritage in rural architecture and landscapes. Through fieldwork and importance-performance analysis methods, the research investigates the façades and environments of rural houses in Suzhou, Jiangsu, China. By incorporating the “vernacular” evaluation factors identified in previous studies, this study adopts a user-centered perspective to provide practical insights into rural cultural landscapes, thereby augmenting existing literature. The study reconstructs elements of rural residences and their environments to enhance residents’ comprehension and yield more objective evaluation outcomes. Analysis reveals that both native and non-native residents share similar views on the importance and performance of various factors. Environmental quality and building functionality emerge as top priorities for residents, while Suzhou’s efforts to preserve traditional architectural esthetics are notably effective. However, field observations also highlight urbanization’s impact on rural housing, such as the use of non-native materials that compromise traditional rural architectural styles. To tackle these challenges, this study proposes the following strategies for rural regeneration: (i) permit integration of new materials, technologies, and spatial configurations with traditional rural architecture; (ii) incorporate historical context, cultural continuity, traditional materials, and lifestyle needs into building renovations; and (iii) establish a dynamic regulatory mechanism for rural residential architecture to aid residents in optimizing their buildings and surroundings. These strategies aim to mitigate the effects of excessive urbanization and provide a user-centered approach for future research on rural cultural landscapes.

An Analysis of Components and Enhancement Strategies for Advancing Memristive Neural Networks.

Advancements in artificial intelligence (AI) and big data have highlighted the limitations of traditional von Neumann architectures, such as excessive power consumption and limited performance improvement with increasing parameter numbers. These challenges are significant for edge devices requiring higher energy and area efficiency. Recently, many reports on memristor-based neural networks (Mem-NN) using resistive switching memory have shown efficient computing performance with a low power requirement. Even further performance optimization can be made using engineering resistive switching mechanisms. Nevertheless, systematic reviews that address the circuit-to-material aspects of Mem-NNs, including their dedicated algorithms, remain limited. This review first categorizes the memristor-based neural networks into three components: pre-processing units, processing units, and learning algorithms. Then, the optimization methods to improve integration and operational reliability are discussed across materials, devices, circuits, and algorithms for each component. Furthermore, the review compares recent advancements in chip-level neuromorphic hardware with conventional systems, including graphic processing units. The ongoing challenges and future directions in the field are discussed, highlighting the research to enhance the functionality and reliability of Mem-NNs.

Design Transformation Pathways for AI-Generated Images in Chinese Traditional Architecture

This study introduces a design transformation model for AI-generated Chinese traditional architectural images (SD Lora&Canny) based on Stable Diffusion (SD). By integrating parameterization techniques such as Low-Rank Adaptation (Lora) and edge detection algorithms (Canny), the model achieves precise restoration of the architectural form, color elements, and decorative symbols in Chinese traditional architecture. Using the Beijing Drum Tower as the experimental subject, statistical analysis software (SPSS V28.0) was employed to conduct a quantitative evaluation and comparative analysis of architectural images generated by the DALL-E, MidJourney, SD, and SD Lora&Canny models. The results demonstrate that the SD Lora&Canny model significantly outperforms traditional generation tools in restoration accuracy and visual fidelity. Finally, this study applied the SD Lora&Canny model to create the digital cultural product AR Drum and Bell Tower Fridge Magnet, showcasing its practical application in digital cultural creation and verifying its innovative potential in the digital preservation and transmission of Chinese traditional architecture.

National Heritage of Yakutsk and its Traditions in Modern Urban Architecture

This work studies the influence of the national heritage of Yakutsk on its architectural development and preservation of traditions in modern architecture. Considered are mogol urasa, winter log yurt (balagan), contiguous serge poles and traditional Yakut ornaments. The analysis of national sites identify traditional buildings and elements affecting modern architectural solutions. Buildings in Yakutsk are described, in which the influence and implementation of national symbols and forms in their architectural appearance is observed. It is shown that the modern architecture of Yakutsk continues to use traditional materials, symbols, shapes and colors of the Yakut culture, while integrating innovative and modern functionality. It is important to continue and preserve traditions of Yakutsk architecture, emphasizing their essential role in the formation of the modern architecture of the city. Material objects created in accordance with traditions give the houses a special atmosphere and uniqueness, retrospectively reflecting the spirit and cultural heritage of the Yakut people in the modern urban environment. The importance of preserving these architectural traditions lies in the preservation and transmission of unique cultural values.Purpose: The aim of the work is to identify continuity in the modern architecture of Yakutsk.Methodology: Interpretation of historical forms and Yakut culture in modern architecture. It focuses on Yakut national houses, the analysis of religious symbols, their sacred significance and applicability in the architectural landscape.Value: Systematization and conceptualization of formative methods typical for national buildings and symbols, while studying their integration in architecture of Yakutsk.

IMPACT: In-Memory ComPuting Architecture based on Y-FlAsh Technology for Coalesced Tsetlin machine inference.

The increasing demand for processing large volumes of data for machine learning (ML) models has pushed data bandwidth requirements beyond the capability of traditional von Neumann architecture. In-memory computing (IMC) has recently emerged as a promising solution to address this gap by enabling distributed data storage and processing at the micro-architectural level, significantly reducing both latency and energy. In this article, we present In-Memory comPuting architecture based on Y-FlAsh technology for Coalesced Tsetlin machine inference (IMPACT), underpinned on a cutting-edge memory device, Y-Flash, fabricated on a 180 nm complementary metal oxide semiconductor (CMOS) process. Y-Flash devices have recently been demonstrated for digital and analogue memory applications; they offer high yield, non-volatility and low power consumption. IMPACT leverages the Y-Flash array to implement the inference of a novel ML algorithm: coalesced Tsetlin machine (CoTM) based on propositional logic. CoTM utilizes Tsetlin automata (TA) to create Boolean feature selections stochastically across parallel clauses. IMPACT is organized into two computational crossbars for storing the TA and weights. Through validation on the MNIST dataset, IMPACT achieved [Formula: see text] accuracy. IMPACT demonstrated improvements in energy efficiency, e.g. factors of 2.23 over CNN-based ReRAM, 2.46 over neuromorphic using NOR-Flash and 2.06 over DNN-based phase-change memory (PCM), suited for modern ML inference applications.This article is part of the theme issue 'Emerging technologies for future secure computing platforms'.

Sustainability Concept Uma Lisan Manekawaik Space of Suku Suai Loro in Timor-Leste

Abstract Uma Lisan Manekawaik is one of the rumah adat in the suku Suai Loro, which was built by the Tetum Terik community according to tradition and cultural heritage. Symbolically, it represents a group of descendants and is passed down from generation to generation. This study aims to identify the sustainability concept in the Uma Lisan Manekawaik space of suku Suai Loro in Timor-Leste. This research uses a qualitative approach with descriptive methods. The results of this research indicate that Uma Lisan Manekawaik is a stage building built for various community life activities according to environmental conditions. There are five concepts of space division, namely Tatetek, Labis Kraik, Labis Leten, Uma Laran, and Labisraen. Studying the sustainability concept in the Uma Lisan space has an important role in the preservation of traditional houses in Timor-Leste. This research contributes to the development of knowledge in the field of preserving the built environment, especially traditional residential architecture.

Traditional Architecture in the Central-Northern Mediterranean Region: Tectonics and Typological Analysis of Traditional Mut Houses

Architectural tectonics is a crucial starting point for comprehending traditional houses in terms of their form and usage. The components of land use, material use and construction technique, and plan layout, which reveal "tectonic integrity," are the criteria that are considered. This study employs the typology method to question the tectonics of traditional housing architecture located in the central northern part of the Mediterranean Region, specifically through the example of Mut Houses in Mersin province. The typology study has facilitated the identification and quantification of the diverse array of architectural solutions and details that are characteristic of the region. Mut is a medium-sized district situated in the mountainous parts of the Central Taurus Mountains, with a settlement history dating back to the Roman Period. The fact that microclimatic conditions impact the supply of materials and construction techniques, and the cultural context influences the use of land, garden, and space, ensures that traditional Mut houses possess a distinct appearance in this region. Regrettably, these houses, which contain important details of the region, are at risk of extinction. This article documents the tectonic values of traditional Mut houses and conducts a typological analysis of them.

Wooden temple as a marker of the Russian traditional identity

Wooden architecture is a special independent direction of the Russian traditional architecture. It is represented in Russia in its unique quality and diversity. This is truly a national architecture that has absorbed the mythopoetic and Christian worldview of the people. The concept of “Russian North” reflects the significant “Russianness” of the region. Here, all those perfect forms of wooden architecture were developed to continuously influence the entirety of Russian art for centuries. A wooden temple is the pinnacle of culture, its iconic heritage. The best religious buildings were created and preserved in the North.

Realizing linear synaptic plasticity in electric double layer-gated transistors for improved predictive accuracy and efficiency in neuromorphic computing

Abstract Neuromorphic computing offers a low-power, parallel alternative to traditional von Neumann architectures by addressing the sequential data processing bottlenecks. Electric double layer-gated transistors (EDLTs) resemble biological synapses with their ionic response and offer low power operations, making them suitable for neuromorphic applications. A critical consideration for artificial neural networks (ANNs) is achieving linear and symmetric plasticity (i.e. weight updates) during training, as this directly affects accuracy and efficiency. This study uses finite element modeling to explore EDLTs as artificial synapses in ANNs and investigates the underlying mechanisms behind the nonlinear weight updates observed experimentally in previous studies. By solving modified Poisson–Nernst–Planck equations, we examined ion dynamics within an EDL capacitor and their effects on plasticity, revealing that the rates of EDL formation and dissipation are concentration-dependent. Fixed-magnitude pulse inputs result in decreased formation and increased dissipation rates, leading to nonlinear weight updates. For a pulse magnitude of 1 V, both 1 ms 500 Hz and 5 ms 100 Hz pulse inputs saturated at less than half of the steady state EDL concentration, limiting the number of accessible states and operating range of devices. To address this, we developed a predictive linear ionic weight update solver (LIWUS) in Python to predict voltage pulse inputs that achieve linear plasticity. We then evaluated an ANN with linear and nonlinear weight updates on the Modified National Institute of Standards and Technology classification task. The ANN with LIWUS-provided linear weight updates required 19% fewer (i.e. 5) epochs in both training and validation than the network with nonlinear weight updates to reach optimal performance. It achieved a 97.6% recognition accuracy, 1.5–4.2% higher than with nonlinear updates, and a low standard deviation of 0.02%. The network model is amenable to future spiking neural network applications, and the performance with linear weight updates is expected to improve for complex networks with multiple hidden layers.