This paper discusses the main benefits of ZNS and shows why can be deprived internal parallelism when downsizing its zone writable capacity. To this end, we use two production SSDs quantitively analyze performance degradation caused by inter-zone interference. We then suggest a simple mechanism to detect zone-to-zone relationships generating interference schedule I/O requests being aware parallelism. Our evaluation results using real devices show that our improve bandwidth latency Linux's...

This study presents a respiration sensor that is dependent on parallel capacitor, including connection lines and electrodes embroidered textiles. First, characterizations of the capacitor using silver thread, combination porous Eco-flex simulating air in lungs due to respiration, were evaluated an LCR meter. Second, effects gaps detection motions according change electrode distance under pressure presented. The data values measured from 1 300 kHz meter dielectric test fixture. Third, actual...

Flexible strain sensors are receiving a great deal of interest owing to their prospective applications in monitoring various human activities. Among efforts enhance the sensitivity sensors, pre-crack generation has been well explored for elastic polymers but rarely on textile substrates. Herein, highly sensitive textile-based sensor was fabricated via dip-coat-stretch approach: polyester woven band dipped into ink containing single-walled carbon nanotubes coated with silver paste and...

This study evaluates the mapping accuracy between textile stretch sensor data and surface electromyography (sEMG) signals using Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Residual (ResNet) models. Data from forearm, biceps brachii, triceps brachii were analyzed Root Mean Square Error (RMSE) R2 as performance metrics. ResNet achieved lowest RMSE (e.g., 0.1285 for brachii) highest (0.8372), outperforming CNN (RMSE: 0.1455; R2: 0.7639) MLP 0.1789; 0.6722). The residual...

Measuring breathing changes during exercise is crucial for healthcare applications. This study used wearable capacitive sensors to capture abdominal motion and extract patterns. Data preprocessing methods included filtering normalization, followed by feature extraction classification. Despite the growing interest in respiratory monitoring, research on a deep learning-based analysis of data remains limited. To address this gap, we optimized CNN ResNet through systematic hyperparameter tuning,...

We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with corpus categorical emotion annotations. Our is trained by minimizing EMD (Earth Mover's Distance) loss between predicted VAD score distribution distributions sorted VAD, it can simultaneously classify categories scores for given sentence. use pre-trained RoBERTa-Large fine-tune on three different corpora labels evaluate EmoBank scores. show that our approach...

Many studies have been conducted to develop electronic skin (e-skin) and flexible wearable textiles which transform into actual “skin”, using different approaches. Moreover, many reports investigated self-healing materials, multifunctional sensors, etc. This study presents a systematic approach embroidery pressure sensors dependent on interdigitated capacitors (IDCs), for applications surrounding intelligent devices, robots, e-skins. The method proposed broad range of highly sensitive based...

New health status instruments can be administered by computerized adaptive test or short forms. The Prosthetic Limb Users Survey of Mobility (PLUS-M

Abstract This paper presented a systematic approach to electro-textile pressure sensors dependent on interdigitated capacitors (IDCs) printed fabric. In this study, we proposed highly sensitive, broad-range sensor based the combination of porous Ecoflex, carbon nanotubes (CNTs), and electrodes. Firstly, characterizations capacitor using silver ink Cotton Polyester fabric were completed by precision LCR meter across frequency range from 1 300 kHz. The effect performance sensitivity was...

Research on healthcare and body monitoring has increased in recent years, with respiratory data being one of the most important factors. Respiratory measurements can help prevent diseases recognize movements. Therefore, this study, we measured using a capacitance-based sensor garment conductive electrodes. To determine stable measurement frequency, conducted experiments porous Eco-flex selected 45 kHz as frequency. Next, trained 1D convolutional neural network (CNN) model, which is type deep...

We introduce EfficientCL, a memory-efficient continual pretraining method that applies contrastive learning with novel data augmentation and curriculum learning. For augmentation, we stack two types of operation sequentially: cutoff PCA jittering. While steps proceed, apply by incrementing the degree for each difficulty step. After is finished, applied on projected embeddings original augmented examples. When finetuned GLUE benchmark, our model outperforms baseline models, especially...

Abstract Warning: This paper contains examples of stereotypes and biases. The Bias Benchmark for Question Answering (BBQ) is designed to evaluate social biases language models (LMs), but it not simple adapt this benchmark cultural contexts other than the US because depend heavily on context. In paper, we present KoBBQ, a Korean bias dataset, propose general framework that addresses considerations adaptation dataset. Our includes partitioning BBQ dataset into three classes—Simply-Transferred...

This study compared various panel designs of the multistage test (MST) using mixed-format tests in context classification testing. Simulations varied design first-stage module. The first stage was constructed according to three levels information functions (TIFs) with different TIF centers. Additional computerized adaptive (CAT) conditions provided baseline comparisons. Three passing rate were also included. MST properly and performed well. When TIFs at higher, simulations produced a greater...

In 2000s, the interest of ROHAS has been increased and environmental problem begun to be discussed as global value, not individual perspective. And standard value for eco-friendly awareness expanded economic category. The trend fabric can divided into 3 periods depending on property. period natural with visual effects(2002~2004) summarized creation shape using image, interaction cotton technology from functional conjunction eco-friendliness technology(2005~2008), through nature re-cycling,...

With detailed sensor and visual data from automobiles, a data-driven model can learn to classify crash-related events during drive. We propose neural network accepting time-series vehicle forward-facing videos as input for learning classification of varying types such events. To elaborate, novel recurrent structure is introduced, namely, denoising gated unit with decay, in order deal automobile missing value noises. Our detects crash near-crash based on large set collected naturalistic...

건강의 사회적 결정요인 패러다임은 건강에 영향을 주는 요인으로 사회적, 환경적, 정치적, 경제적 조건들을 강조한다. 즉, 건강과 안녕은 신체적 상태 뿐 아니라 상황을 반영하는 것임을 주장한다. 본 연구는 결정요인의 틀을 적용하여 분석기간 중 우울하지 않았던 사람이 처음으로 우울을 경험하는 데 미치는 요인을 종단적으로 검증하였다. 이를 위해 한국복지패널의 3차부터 14차까지 12년간 자료를 활용하였으며 이산시간위험모형분석을 수행하였다. 주요 변수로는 우울, 학력, 저소득층가구여부, 건강상태, 고용형태, 자본(신뢰, 호혜성), 박탈경험, 주거빈곤여부를 포함하였다. 연구결과 소득이 낮을수록, 교육수준이 그리고 고용형태가 불안정할수록 이들이 경험할 위험이 높아지는 것으로 나타났다. 주거상황과 사회경제적 박탈 역시 예측하는 요인이었으며, 자본으로 투입한 변수 신뢰수준은 그 정도가 호혜수준은 높을수록 우울경험 가능성이 높아졌다. 우울에 대한 개입과 예방을 위해서는 개인차원의 접근 요인의...

We present a model to predict fine-grained emotions along the continuous dimensions of valence, arousal, and dominance (VAD) with corpus categorical emotion annotations. Our is trained by minimizing EMD (Earth Mover's Distance) loss between predicted VAD score distribution distributions sorted VAD, it can simultaneously classify categories scores for given sentence. use pre-trained RoBERTa-Large fine-tune on three different corpora labels evaluate EmoBank scores. show that our approach...

The Bias Benchmark for Question Answering (BBQ) is designed to evaluate social biases of language models (LMs), but it not simple adapt this benchmark cultural contexts other than the US because depend heavily on context. In paper, we present KoBBQ, a Korean bias dataset, and propose general framework that addresses considerations adaptation dataset. Our includes partitioning BBQ dataset into three classes--Simply-Transferred (can be used directly after translation), Target-Modified...

JPLEX, short for Java simPLEX, is an automated test assembly (ATA) program. It a mixed integer linear programming (MILP) solver written in Java. reads configuration file, solves the minimization problem, and produces output file postprocessing. implements simplex algorithm to create fully relaxed solution branch-and-bound (BB) method find (Bazaraa, Jarvis, & Sherali, 1990). The input format (LP) modeling (van der Linden, 2005) tailored ATA easy build without help of other languages. was...