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In our modern world, neural networks are ubiquitous. Their functionality and complexity keep increasing while the feature size of the hardware that runs today’s neural networks keeps continuously shrinking. In addition, the number of attacks keeps ...

This paper proposes a method for correcting character-recognition errors in Japanese handwritten answers to writing-type questions from exercise books. We created a model to correct character-recognition errors by fine-tuning the text-to-text-...

The digitization of historical documents faces challenges with the accuracy of Optical Character Recognition (OCR). Noting the success of large language models (LLMs) on many text-based tasks, this paper explores the potential of OpenAI's GPT models (3.5-...

Physical Unclonable Functions (PUFs) are widely researched in the field of security because of their unique, robust, and reliable nature, PUFs are considered device-specific root keys that are hard to duplicate. There are many variants of PUFs that are ...

A clinical dialogue is a conversation between a clinician and a patient to share medical information, which is critical in clinical decision-making. The reliance on manual note-taking is highly inefficient and leads to transcription errors when ...

This work introduces a comprehensive methodology aimed at enhancing security and immunity in automotive networks, placing a primary focus on the detection, prediction, and forecasting of errors in autonomous vehicles. Conventional approaches to ...

Existing research primarily focuses on spelling and grammatical errors in English, such as missing or wrongly adding characters. This kind of shallow error has been well-studied. Instead, there are many unsolved deep-level errors in real ...

This paper provides an overview of the Chinese Spelling Check shared task 8, held at NLPCC 2023. The task aims to correct spelling errors in Chinese sentences, including homophonic errors, visually similar errors, and other types of errors found ...

The present paper introduces a novel benchmark data set for automatic error detection as well as error correction in text documents based on language models or other techniques. The data set contains a large number of sentences from various ...

In this paper we use code-based public key encryption schemes to construct key exchange protocols that are suitable for use in the presence of transmission bit-errors, such as in mobile ad hoc networks.

Building upon the security model by Bellare ...

This paper describes a method of combining cryptographic encoding and low density parity check (LDPC) encoding for the purpose of enhancing privacy. This method uses pseudorandom number generators (PRNGs) to create parity check matrices that are ...

Smart meters are the backbone of smart grids. They provide real time electricity consumption data and and are widely used for measuring, monitoring and analyzing energy consumption. Sometimes, they enable users to perform corrective actions. But, to ...

Hardware performance counters (HPCs) that measure low-level architectural and microarchitectural events provide dynamic contextual information about the state of the system. However, HPC measurements are error-prone due to non determinism (e.g., ...

The authors are trying to construct a real-time vital sensing system during exercise where humans wearing sensor nodes move quickly and their density becomes sometimes higher. In this case, existing multi-hop networking using RSSI or GPS to gather vital ...

One significant feature of liberalisation for India has been a greater openness to foreign direct investment (FDI) as a means of acquiring technologies, skills and access to international markets, and of entering dynamic trade and production. The ...

Speech interfaces have become an increasingly popular input method for smartphone-based virtual assistants, smart speakers, and Internet of Things (IoT) devices. While they facilitate rapid and natural interaction in the form of voice commands, current ...

The key objective of database systems is to reliably manage data, whereby high query throughput and low query latency are core requirements. To satisfy these requirements, database systems constantly adapt to novel hardware features. Although it has ...

Successful training of artificial neural networks depends primarily on used architecture and suitable algorithm that is able to train given network. During training process error for many patterns reach low level very fast while for other patterns ...

Reliable target distance measurement at long range during the night is crucial for security surveillance at night. We present a practical method for low-light-level ranging using a motionless stereo vision system. The approach can measure the target ...

In this paper, a novel visual secret sharing VSS scheme using QR codes is investigated. The proposed visual secret sharing scheme based on QR codesVSSQR can visually reveal secret image by stacking sufficient shadow images shares as well as scan the QR ...