In this study, we developed a novel heart rate (HR) monitoring approach in which measure the pressure variance of surface ear canal. A scissor-shaped apparatus equipped with piezoelectric film sensor and hardware circuit module was designed for high wearability to obtain stable measurement. proposed device, converts in-ear pulse waves (EPW) into electrical current, enhances EPW suppresses noise. real-time algorithm embedded performs morphological conversions make more distinct...

Determining the exact positional relationship between mandibular third molar (M3) and inferior alveolar nerve (IAN) is important for surgical extractions. Panoramic radiography most common dental imaging test. The purposes of this study were to develop an artificial intelligence (AI) model determine two relationships (true contact bucco-lingual position) M3 IAN when they overlapped in panoramic radiographs compare its performance with that oral maxillofacial surgery (OMFS) specialists. A...

Dental panoramic radiography (DPR) is a method commonly used in dentistry for patient diagnosis. This study presents new technique that combines regional convolutional neural network (RCNN), Single Shot Multibox Detector, and heuristic methods to detect number the teeth implants with only fixtures DPR image. technology highly significant providing statistical information personal identification based on separating images of individual teeth, which serve as basic data various DPR-based AI...

Abstract Obesity can cause various diseases and is a serious health concern. BMI, which currently the popular measure for judging obesity, does not accurately classify obesity; it reflects height weight but ignores characteristics of an individual’s body type. In order to overcome limitations classifying obesity using we considered 3-dimensional (3D) measurements human body. The scope our study was limited Korean subjects. expand 3D scan data clinically, scans, Dual-energy X-ray...

In the future, with advent of smart factory era, manufacturing and logistics processes will become more complex, complexity criticality traceability further increase. This research aims at developing a performance assessment method to verify scalability when implementing systems based on key technologies for factories, such as Internet Things (IoT) BigData. To this end, existing research, we analyzed requirements an event schema storing data in MongoDB, document-based Not Only SQL (NoSQL)...

Temporomandibular joint osteoarthritis (TMJ OA) is a degenerative condition of the TMJ led by pathological tissue response under mechanical loading. It characterized progressive destruction internal surfaces joint, which can result in debilitating pain and noise. Panoramic imaging be used as basic screening tool with thorough clinical examination diagnosing OA. This paper proposes an algorithm that extract condylar region determine its abnormality using convolutional neural networks (CNNs)...

This study demonstrates how to generate a three-dimensional (3D) body model through small number of images and derive values similar the actual using generated 3D data. In this study, that can be used for type diagnosis was developed two full-body pictures front side taken with mobile phone. For data training, 400 datasets (male: 200, female: 200) provided by Size Korea were used, four models, i.e., recurrent reconstruction neural network, point cloud generative adversarial skinned...

The global healthcare market is expanding, with a particular focus on personalized care for individuals who are unable to leave their homes due the COVID-19 pandemic. However, implementation of challenging need additional devices, such as smartwatches and wearable trackers. This study aims develop human body simulation that predicts visualizes an individual’s 3D changes based 2D images taken by portable device. proposed in this uses semantic segmentation image-based reconstruction techniques...

The aim of this study was to predict chronic diseases in individual patients using a character-recurrent neural network (Char-RNN), which is deep learning model that treats data each class as word when large portion its input values missing. An advantage Char-RNN it does not require any additional imputation method because implicitly infers missing considering the relationship with nearby points. We applied classify cases Korea National Health and Nutrition Examination Survey (KNHANES) VI...

As many as 40% to 50% of patients do not adhere long-term medications for managing chronic conditions, such diabetes or hypertension. Limited opportunity medication monitoring is a major problem from the perspective health professionals. The availability prompt error reports can enable professionals provide immediate interventions patients. Furthermore, it clinical researchers modify experiments easily and predict levels based on compliance. This study proposes method in which videos taking...

The purpose of this paper was to develop a radio-frequency identification (RFID)-based autoscoring system for the Progressive Aerobic Cardiovascular Endurance Run (PACER) and 6-min walk tests, which are two popular aerobic fitness tests. RFID is commonly used technology tracking tracing, replacing barcode in various industries. However, its measurement advantages have not yet been taken up field physical testing, human errors often occur due difficulty scoring test takers simultaneously. An...

Abstract Increasingly, research has analyzed human behavior in various fields. The fourth industrial revolution technology is very useful for analyzing behavior. From the viewpoint of residential space monitoring system, life patterns living spaces vary widely, and it difficult to find abnormal situations. Therefore, this study proposes a space-based system. system includes behavioral analysis monitored subjects using deep learning methodology, pattern derivation PrefixSpan algorithm,...

Objective:The objectives of this study are (1) to establish a ubiquitous healthcare (u-healthcare) center for those who wish use u-healthcare, allowing them experience the service, and (2) evaluate users' awareness expectations service based on their overall assessment.Materials Methods:To u-healthcare center, kiosk, devices health checkup, body-type examination system, physical fitness assessment system were installed. Also, Web site was developed. A survey conducted 280 individuals visited...

Factories of the future are foreseen to evolve into smart factories with autonomous and adaptive manufacturing processes. However, increasing complexity network processes is expected complicate rapid detection process anomalies in real time. This paper proposes an architecture framework method for implementation Scalable On-line Anomaly Detection System (SOADS), which can detect via real-time processing analyze large amounts execution data context The design this system entailed derivation...

Die casting is a suitable process for producing complex and high precision parts, but it faces challenges in terms of quality degradation due to inevitable defects. The parameters play significant role quality, many cases, producers rely on their experience manage these parameters. In order address this, domestic small medium sized die companies have established smart factories (MES) collected data. This study aims utilize this data construct machine learning based optimal parameter model...

In this research, an Internet of things–based smart factory was established for a die-casting company that produces automobile parts, and the effect casting parameters on quality analyzed using data collected from system. Most industry in Korea consists small- medium-sized enterprises with inferior finances skeptical views about establishment factory. response, Korean government is providing various types support to spread implementation factories enterprises. Although have become more...

The shape of the human body plays an important role in many applications, such as those involving personal healthcare and virtual clothing try-ons. However, accurate measurements typically require user to be wearing a minimal amount clothing, which is not practical situations. To resolve this issue using deep learning techniques, we need paired dataset ground-truth naked shapes their corresponding color images with clothes. As it practically impossible collect enough kind data from...

The purpose of the current study is (1) to apply Internet-based N-Screen (this used like term "emultiscreen"; as technology that provides services shared content or application via N devices, it includes all screens such personal computers [PCs], TV, and mobile devices) healthcare by developing games for improving one's health (2) present ways activate use promotion contents in future investigating user satisfaction whether there any intention accept and/or continuously.In order evaluate...