The existing clustering validity indexes (CVIs) show some difficulties to produce the correct cluster number when centers are close each other, and separation processing mechanism appears simple. results imperfect in case of noisy data sets. For this reason, study, we come up with a novel CVI for fuzzy clustering, referred as triple center relation (TCR) index. originality index is twofold. On one hand, new cardinality built on strength maximum membership degree, compactness formula...

Sink mobility has long been recognized as an efficient method of improving system performance in wireless sensor networks (WSNs), e.g. relieving traffic burden from a specific set nodes. Though tremendous research efforts have devoted to this topic during the last decades, yet little attention paid for summarization and guidance. This paper aims fill blank presents up-to-date survey on sink issue. Its main contribution is review management schemes evolutionary point view. The related divided...

Indoor human activity recognition remains a hot topic and receives tremendous research efforts during the last few decades. However, previous solutions either rely on special hardware, or demand cooperation of subjects. Therefore, scalability issue great challenge. To this end, we present an online system, which explores WiFi ambient signals for received signal strength indicator (RSSI) fingerprint different activities. It can be integrated into any existing WLAN networks without additional...

Insect pests are one of the main threats to commercially important crops. An effective insect pest recognition method can avoid economic losses. In this paper, we proposed a new and simple structure based on original residual block named as feature reuse which combines from input signal with signal. each block, it enhances capacity representation by learning half feature. By stacking obtained network (FR-ResNet) evaluated performance IP102 benchmark dataset. The experimental results showed...

Motion is a critical indicator of human presence and activities. Recent developments in the field indoor motion detection have revealed their potentials enhancing our living experiences through applications like intrusion sleep monitoring. However, existing solutions still face several downsides such as availability (specialized hardware), reliability (illumination line-of-sight constraints), privacy issues (being watched). To overcome shortages, radio frequency (RF) based device-free system...

Medical images are playing an important role in the medical domain. A mature visual question answering system can aid diagnosis, but there is no satisfactory method to solve this comprehensive problem so far. Considering that many different types of questions, we propose a model called CGMVQA, including classification and answer generation capabilities turn complex into multiple simple problems paper. We adopt data augmentation on tokenization texts. use pre-trained ResNet152 extract image...

Textual language is the most natural carrier of human emotion. In processing, textual emotion recognition (TER) has become an important topic due to its significant academic and commercial potential. With advanced development deep learning technologies, TER attracted growing attention significantly been promoted in recent years. This article provides a systematic survey latest advances, focusing on approaches using neural networks. According how works at each stage, are reviewed word...

Wireless Body Area Network (WBAN) is a promising cost-effective technology for the privacy confined military applications and healthcare like remote health monitoring, telemedicine, e-health services. The use of Software-Defined (SDN) approach improves control management processes complex structured WBANs also provides higher flexibility dynamic network structure. To seamless routing performance in SDN-based WBAN, energy-efficiency problems must be tackled effectively. main contribution this...

The steel strip is an essential raw material in the machinery industry. Besides, surface defects of directly determine its performance. To achieve rapid and effective detection defects, a CP-YOLOv3-dense (classification priority YOLOv3 DenseNet) neural network was proposed present study. model used as basic network, implemented classification on images, then replaced two residual modules with dense modules. Therefore, can receive multi-layer convolution features output by connection block...

Remote photoplethysmography (rPPG) technology is widely used to measure heart rate (HR) from facial video. However, the accuracy of rPPG signal extraction affected by slow content changes in long-range videos, and process also susceptible interference illumination variation head movement noise. To address above problems, this article, we propose an end-to-end effective time-domain attention network (ETA-rPPGNet). First, order overcome video redundancy information, construct segment subnet....

Domain knowledge can be introduced into fuzzy clustering with the aid of information granules, embodied by concept viewpoints. For such kind methods, strategy acquisition viewpoints has not been fully developed. Furthermore a way determining related granules deserves more attention. Having these problems in mind, this study, density Viewpoint-based Weighted Kernel Fuzzy Clustering (VWKFC) algorithm is proposed. First, kernel-based hypersphere initialization (KHDI) presented as certain...

There is plenty of evidence that emotion analysis has many valuable applications. In this study a blog corpus constructed for Chinese emotional expression analysis. This contains manual annotation eight categories (expect, joy, love, surprise, anxiety, sorrow, angry and hate), intensity, holder/target, word/phrase, degree word, negative conjunction, rhetoric, punctuation other linguistic expressions indicate emotion. Annotation agreement analyses classes words phrases are described. Then,...

With popular microblogging services like Twitter, users are able to online share their real-time feelings in a more convenient way. The user generated data Twitter is thus regarded as resource providing individuals' spontaneous emotional information, and has attracted much attention of researchers. Prior work measured the expressions users' tweets then performed various analysis learning. However, how utilize those learned knowledge from observed context information predict opinions toward...

The wealth of interaction information provided in biomedical articles motivated the implementation text mining approaches to automatically extract relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing deal with relation extraction. Pattern algorithm is Polynomial Kernel method, which identifies words from unlabeled data; these are then used extraction between entity pairs. Dependency phrase structure combined for Based semi-supervised KNN...

Indoor localization of smart hand-held devices is essential for location-based services pervasive applications. The previous research mainly focuses on exploring wireless signal fingerprints this purpose, and several shortcomings need to be addressed first before real-world usage, e.g., demanding a large number access points or labor-intensive site survey. In paper, through systematic empirical study, we gain in-depth understandings Bluetooth characteristics, i.e., the impact various...