HCIS

Abstract Based on the stimulus-organism-reaction model, we study the direct effects of the three interpersonal attraction factors (perceived similarity, perceived familiarity, and perceived expertise…

Yaqin Liu, Xinxing Luo & Yi Cao

Abstract Recommender systems are most often used to predict possible ratings that a user would assign to items, in order to find and propose items of possible interest to each user. In our work, we a…

Georgios Tsakalakis & Polychronis Koutsakis

Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition proce…

Song Zhou & Sheng Xiao

Abstract This paper investigates various structures of neural network models and various types of stacked ensembles for singing voice detection. The studied models include convolutional neural networ…

Shingchern D. You, Chien-Hung Liu & Woei-Kae Chen

Abstract In this paper, we report an effective facial expression recognition system for classifying six or seven basic expressions accurately. Instead of using the whole face region, we define three …

Ai Sun, Yingjian Li, Yueh-Min Huang, Qiong Li & Guangming Lu

Abstract Due to recent developments in IT technology, various Fintech technologies composing of finance and technology are being developed. Especially, because of rapidly growing online market and su…

Jungho Kang

Abstract Virtual reality technologies (VR) have advanced rapidly in the last few years. Prime examples include the Oculus RIFT and HTC Vive that are both head-worn/mounted displays (HMDs). VR HMDs en…

Vijayakumar Nanjappan, Hai-Ning Liang, Feiyu Lu, Konstantinos Papangelis, Yong Yue & Ka Lok Man

Abstract Emerging technological advances in wireless communication and networking have led to the design of large scale networks and small sensor units with minimal power requirements and multifuncti…

Hana Rhim, Karim Tamine, Ryma Abassi, Damien Sauveron & Sihem Guemara

Abstract Due to object recognition accuracy limitations, unmanned ground vehicles (UGVs) must perceive their environments for local path planning and object avoidance. To gather high-precision inform…

Wei Song, Shuanghui Zou, Yifei Tian, Simon Fong & Kyungeun Cho

Abstract This article describes the design and verification of the indirect method of predicting the course of CO2 concentration (ppm) from the measured temperature variables Tindoor (°C) and the rel…

Jan Vanus, Jaroslav Machac, Radek Martinek, Petr Bilik, Jan Zidek, Jan Nedoma & Michal Fajkus

Abstract Research and education through computer simulation has been actively conducted in various scientific and engineering fields including computational science engineering. Accordingly, there ha…

Young-Kyoon Suh & Ki Yong Lee

Abstract Efficient resource management in dynamic cloud computing is receiving more and more attentions. Many works are still ongoing, since federated cloud computing is an open environment. We prese…

Sofiane Kemchi, Abdelhafid Zitouni & Mahieddine Djoudi

Abstract Objective To provide a parsimonious clustering pipeline that provides comparable performance to deep learning-based clustering methods, but without using deep learning algorithms, such as a…

Eren Gultepe & Masoud Makrehchi

Abstract Online social networks have become demanded ways for users to show themselves and connect and share information with each other among these social networks. Facebook is the most popular soci…

Alireza Souri, Shafigheh Hosseinpour & Amir Masoud Rahmani

Abstract In the new era of the Internet of Things (IoT), all information related to the environment, things and humans is connected to networks. Humans, too, can be considered an integral part of the…

Pradip Kumar Sharma, Jung Hyun Ryu, Kyung Yeob Park, Jin Ho Park & Jong Hyuk Park