HCIS

Abstract Active machine learning is a human-centric paradigm that leverages a small labelled dataset to build an initial weak classifier, that can then be improved over time through human-machine col…

Phil Legg, Jim Smith & Alexander Downing

Abstract Model checking is an influential method to verify complex interactions, concurrent and distributed systems. Model checking constructs a behavioral model of the system using formal concepts s…

Alireza Souri, Amir Masoud Rahmani, Nima Jafari Navimipour & Reza Rezaei

Abstract With the deeper study on complex networks, more and more attention has been paid to the research on the cluster synchronization phenomena based on complex networks. In the real world, synchr…

Tinggui Chen, Jiawen Shi, Jianjun Yang & Gongfa Li

Abstract Worldwide sensor streams are expanding continuously with unbounded velocity in volume, and for this acceleration, there is an adaptation of large stream data processing system from the homog…

Bhaskar Gautam & Annappa Basava

Abstract The current bare Internet of Things (IoT) infrastructure has recently been extended to include smarter and more effective user interactions. Individual or meaningful sets and groups of IoT o…

Dongsik Jo & Gerard Jounghyun Kim

Abstract The amount of movie has increased to become more congested; therefore, to find a movie what users are looking for through the existing technologies are very hard. For this reason, the users …

Phonexay Vilakone, Doo-Soon Park, Khamphaphone Xinchang & Fei Hao

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