Ferrihydrite, which is known to form in the presence of oxygen and be stabilized by adsorption Si, PO4 SO4, ubiquitous fine-grained fractions permeable reactive barrier (PRB) samples from U.S. Coast Guard Support Center (Elizabeth City, NC) Denver Federal (Lakewood, CO) studied high-resolution transmission electron microscopy selected area diffraction. The concurrent energy-dispersive X-ray data indicate a strong association between ferrihydrite metals such as Ca, Cr. Magnetite, green rust...

Objective Gait analysis plays a pivotal role in evaluating walking abilities, with recent advancements digital health stressing the importance of efficient data collection methods. This study aims to classify nine gait types including one normal and eight abnormal gaits, using sequential network-based models diverse feature combinations obtained from insole sensors. Methods The dataset was collected sensors subjects performing 15 m designated types. incorporated pressure inertial measurement...

<abstract> <p>Early detection of the risk sarcopenia at younger ages is crucial for implementing preventive strategies, fostering healthy muscle development, and minimizing negative impact on health aging. In this study, we propose a novel technique that combines surface electromyography (sEMG) signals empirical mode decomposition (EMD) with machine learning algorithms. First, recorded preprocessed sEMG data from both at-risk individuals during various physical activities,...

Cognitive impairment in the elderly causes a significant decline quality of life and substantial economic burden on society. Yet, diagnosing cognitive is apt to be missed or delayed due its assessment being laborious. This study aimed propose new approach classifying risk using sequential gait characteristics machine learning techniques. A total 108 community-dwelling individuals participated this study. The participants were categorized into three groups based their scores mini-mental state...

We propose a wearable sensor-based gait classification system. Our approach assumes that multiple IMU sensors attached to various body parts can capture the characteristics are used predict whether subject has foot abnormalities or athletic performance. first transform raw sensor signals into spectrogram images and feed this visual representation deep CNN models. The data were acquired from 7 pelvis, thighs, shanks, feet while 69 people in three groups walked on 20-m straight path....

Faced with the rapidly aging world population, frailty has emerged as a major health burden among elderly. This study aimed to investigate feasibility of using temporal gait characteristics and long short-term memory network for assessing frailty. Seventy-four community-dwelling elderly individuals participated in this study. The participants were categorized into three groups by their FRAIL scale: robust, pre-frail, frail groups. completed 7-meter walking at self-selected pace gyroscope on...

The conventional method of measuring foot-arch parameters is highly dependent on the measurer’s skill level, so accurate measurements are difficult to obtain. To solve this problem, we propose an autonomous geometric analysis platform that capable capturing sole foot and yields three parameters: arch index (AI), width (AW) height (AH). proposed system captures 3D color data plantar surface in a static standing pose using commercial RGB-D camera. It detects region contact with footplate by...

Human gait has served as a useful barometer of health. Existing studies for automatic categorization have been limited to binary classification pathological and non-pathological provided low accuracy in multi-classification. This study aimed propose novel approach that can multi-classify with no visually discernible difference characteristics. Sixty-nine participants without disturbance were recruited. Twenty-nine the semi-professional athletes, 19 ordinary people. The remaining 21 people...

Human gait has been regarded as a useful behavioral biometric trait for personal identification and authentication. This study aimed to propose an effective approach classifying gait, measured using wearable inertial sensors, based on neural networks. The 3-axis accelerometer gyroscope data were acquired at the posterior pelvis, both thighs, shanks, feet while 29 semi-professional athletes, 19 participants with normal foot, 21 patients foot deformities walked 20-meter straight path....

Frailty is a common and critical condition in elderly adults, which may lead to further deterioration of health. However, difficulties complexities exist traditional frailty assessments based on activity-related questionnaires. These can be overcome by monitoring the effects gait. In this paper, it shown that encoding gait signals as images, deep learning-based models utilized for classification type. Two learning (a) SS-CNN, single stride input (b) MS-CNN, 3 consecutive strides were...

The world population is aging, and this phenomenon expected to continue for the next decades. This study aimed propose a simple reliable method that can be used daily in-home monitoring of frailty cognitive dysfunction in elderly based on their walking-in-place characteristics. Fifty-four community-dwelling people aged 65 years or older participated study. participants were categorized into robust non-robust groups according FRAIL scale. mini-mental state examination was classify impairment...

Accurate gait detection is crucial in utilizing the ample health information embedded it. Vision-based approaches for have emerged as an alternative to exacting sensor-based approaches, but their application has been rather limited due complicated feature engineering processes and heavy reliance on lateral views. Thus, this study aimed find a simple vision-based approach that view-independent accurate. A total of 22 participants performed six different actions representing standard peculiar...

Deep neural networks are trained so as to achieve a kind of the maximum overall accuracy through learning process using given training data. Therefore, it is difficult fix them improve accuracies specific problematic classes or interest that may be valuable some users applications. To address this issue, we propose synaptic join method tweak by adding certain additional synapses from intermediate hidden layers output layer across and additionally only these synapses, if necessary. select...

Accurate sports field registration plays a crucial role in computer vision for effective team analysis, as it provides the ability to track and recognize positions, movements, interactions of players from image space real-world space. In this paper, we propose two-stage deep learning framework registration. first-stage network, utilize Residual EfficientNet-Attention U-Net architecture estimate initial homography matrix using predefined keypoints register fields. Subsequently, our...

<title>Abstract</title> <bold>Background</bold> Gait deviation by leg length discrepancy limits development of motor skills and causes lower limb injuries pains. Orthopaedic shoes (OSs) have been a widely used treatment for the gait problems. However, their effects on performance at customisation not studied due to high complexity cost in measuring analysing changes. It misses an opportunity providing optimally lifted OSs individuals. This study therefore aimed assess through simple pattern...

Abstract Pliocene-Recent marine sediments, recovered at site 1125 by ODP Leg 181 on the eastern New Zealand margin, were subjected to laboratory consolidation tests and analyzed scanning electron microscopy (SEM) before after test. The primary objective of this study is document effects microfabric petrophysical properties. X-ray diffraction grain-size distribution data indicate that samples are mineralogically texturally similar thus ideal for present role solely Porosity was measured each...

This paper proposes a hybrid gate-level leakage model for the use with Monte Carlo (MC) analysis approach, which combines lookup table (LUT) first-order exponential-polynomial (first-order model, herein). For process parameters having strong nonlinear relationships logarithm of current, proposed uses LUT approach sake modeling accuracy. other parameters, it increased efficiency. During library characterization each type logic gates, determines will model. And, number data points, can...

This study aimed to investigate the contribution of medial longitudinal arch and lateral in human gait correlation between foot features characteristics. The plays a significant role movements, understanding its spatiotemporal parameters is vital predicting rectifying patterns. To serve objectives, developed new feature measurement system measured 17 young healthy subjects without any structure abnormality. foot-feature were under three movement conditions which sitting, standing, one-leg...

Accurate gait events detection from the video would be a challenging problem. However, most vision-based methods for event highly rely on features that are estimated using silhouettes and human pose information accurate data acquisition. This paper presented an accurate, multi-view approach with deep convolutional neural networks efficient practical without requiring additional feature engineering. Especially, we aimed to detect frontal views as well lateral views. We conducted experiments...

스트레이트 휜 히트 싱크가 장착된 공간에 팁 클리어런스(tip clearance)와 바이패스 유동이 열성능에 미치는 영향을 실험적으로 규명하고자 한다. 수평 및 수직 방향으로의 유동에 의한 열성능 평가는 열식 질량 유량계(MFC)와 소형 풍동으로 이루어진다. 클리어런스와 싱크의 열성능은 열저항을 통하여 평가한다. 실험 결과, 열저항은 클리어런스가 증가함에 따라 점진적으로 증가하며, 유동 가이드 장치는 유동을 감소하는 역할을 본 연구에서는 동일 유량 조건에서 입구에서 장치까지의 거리에 최적값이 존재함을 확인하였다. 싱크로 유입되는 유량이 장치에 개선 정도는 증가한다.

We propose a new technique of measuring user similarity in collaborative filtering using electric circuit analysis. Electric analysis is used to measure the potential differences between nodes on an circuit. In this paper, by applying method transaction networks comprising users and items, i.e., user-item matrix, full information about relationship structure perspective item adoption, we overcome limitations one-to-one calculation approach, such as Pearson correlation, Tanimoto coefficient,...

The incredible pace at which the world's elderly population is growing will put severe burdens on current healthcare systems and resources. To alleviate this concern health care must rely transformation of eldercare old homes to use Ambient Assisted Living (AAL). Human identification one most common critical tasks for condition monitoring, human-machine interaction, providing assistive services in such environments. Recently, human gait has gained new attention as a biometric achieve...

Accurate gait detection is crucial in utilizing the ample health information embedded it. As an alternative of laborious and demanding sensor-based detection, vision-based approaches emerged.Yet, its complicate feature engineering process heavy reliance on lateral views serve as challenges. This study aimed to propose a view-independent event using deep learning networks that requires no pre-processing. A total 22 participants performed seven different walking running-related actions...