HCIS

Abstract Ground segmentation is an important step for any autonomous and remote-controlled systems. After separating ground and nonground parts, many works such as object tracking and 3D reconstructi…

Phuong Minh Chu, Seoungjae Cho, Jisun Park, Simon Fong & Kyungeun Cho

Abstract Software defined networking (SDN) is becoming more and more popular due to its key features, such as monitoring, fine-grained control, flexibility and scalability. The centralized control of…

Muhammad Imran, Muhammad Hanif Durad, Farrukh Aslam Khan & Abdelouahid Derhab

Abstract In data center companies, cloud computing can host multiple types of heterogeneous virtual machines (VMs) and provide many features, including flexibility, security, support, and even better…

Shayem Saleh Alresheedi, Songfeng Lu, Mohamed Abd Elaziz & Ahmed A. Ewees

Abstract Location-based mobile marketing recommendation has become one of the hot spots in e-commerce. The current mobile marketing recommendation system only treats location information as a recomme…

Chunyong Yin, Shilei Ding & Jin Wang

Abstract The threat to critical water system infrastructure has increased in recent years as is evident from the increasing number of reported attacks against these systems. Preventative security mec…

Daniel T. Ramotsoela, Gerhard P. Hancke & Adnan M. Abu-Mahfouz

Abstract With the rapid development of networks and Information technologies, cloud computing is not only becoming popular, the types of cloud services available are also increasing. Through cloud se…

Chao-Tung Yang, Shuo-Tsung Chen, Yu-Wei Chan & Yu-Chuan Shen

The original publication of this article has been corrected. Reference 1. Legg P, Smith J, Downing A (2019) Visual analytics for collaborative human-machine confidence in human-centric active lea…

Phil Legg, Jim Smith & Alexander Downing

Abstract Today the key technology of high-performance computing systems is the emergence of interconnect technology that makes multiple computers into one computer cluster. This technique is a genera…

Cheol Shim, Rupali Shinde & Min Choi

Abstract Case-based reasoning (CBR) is a nature inspired paradigm of machine learning capable to continuously learn from the past experience. Each newly solved problem and its corresponding solution …

Malik Jahan Khan, Hussain Hayat & Irfan Awan

Abstract Leap Motion has become widely used due to its ability to recognize intuitive hand gestures or accurate finger positions. Attaching a Leap Motion to a virtual reality head-mounted display (VR…

San Park, Seoungjae Cho, Jisun Park, Kaisi Huang, Yunsick Sung & Kyungeun Cho

Abstract The main down-top attention model usually uses some characteristics of audio signal to extract the auditory saliency map at present. But existing audio attention computational model based im…

Yu Liu, Cong Zhang, Bo Hang, Song Wang & Han-Chieh Chao

Abstract Various technologies such as WiFi, Bluetooth, and RFID are being used to provide indoor location-based services (LBS). In particular, a WiFi base using a WiFi AP already installed in an indo…

Sunmin Lee, Jinah Kim & Nammee Moon

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