HCIS

Abstract Content cache as well as data cache is vital to Content Centric Network (CCN). A sophisticated cache scheme is necessary but unsatisfied currently. Existing content cache scheme wastes route…

Hsin-Te Wu, Hsin-Hung Cho, Sheng-Jie Wang & Fan-Hsun Tseng

Abstract Unlike retail stores, in which the user is forced to be physically present and active during restricted opening hours, online shops may be more convenient, functional and efficient. However,…

Huiyue Wu, Weizhou Luo, Neng Pan, Shenghuan Nan, Yanyi Deng, Shengqian Fu & Liuqingqing Yang

Abstract Brain wave emotion analysis is the most novel method of emotion analysis at present. With the progress of brain science, it is found that human emotions are produced by the brain. As a resul…

Ting-Mei Li, Han-Chieh Chao & Jianming Zhang

Abstract Detecting network overlapping community has become a very hot research topic in the literature. However, overlapping community detection for count-value networks that naturally arise and are…

QianCheng Yu, ZhiWen Yu, Zhu Wang, XiaoFeng Wang & YongZhi Wang

Abstract In order to solve the problem of human motion recognition in multimedia interaction scenarios in virtual reality environment, a motion classification and recognition algorithm based on linea…

Fuquan Zhang, Tsu-Yang Wu, Jeng-Shyang Pan, Gangyi Ding & Zuoyong Li

Abstract This paper proposes a methodology based on the concept of Human Factors to obtain Cybersecurity profiles. The profiles are determined by a set of parameters that help model the skills of ind…

Ana Nieto & Ruben Rios

Abstract Wireless sensor networks (WSNs) comprise tiny devices known as sensors. These devices are frequently employed in short-range communications and can perform various operations such as monitor…

Turki Ali Alghamdi

Abstract Situation awareness is the first and most important step in emergency management. It is a dynamic step involving evolving conditions and environments. It is an area of active research. This …

Syed Nasir Danial, Jennifer Smith, Faisal Khan & Brian Veitch

Abstract This work proposes a methodology to program an artificial agent that can make decisions based on a naturalistic decision-making approach called recognition-primed decision model (RPDM). The …

Syed Nasir Danial, Jennifer Smith, Brian Veitch & Faisal Khan

Abstract Aspect-based sentiment analysis (ABSA) is a powerful way of predicting the sentiment polarity of text in natural language processing. However, understanding human emotions and reasoning from…

Ning Liu, Bo Shen, Zhenjiang Zhang, Zhiyuan Zhang & Kun Mi

Abstract Multimodal sensors in healthcare applications have been increasingly researched because it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity sports manage…

Henry Friday Nweke, Ying Wah Teh, Ghulam Mujtaba, Uzoma Rita Alo & Mohammed Ali Al-garadi

Abstract Human-centric computing is becoming an important part of data-driven artificial intelligence (AI) and the importance of data mining under Human-centric computing is getting more and more att…

Chunyong Yin, Biao Zhou, Zhichao Yin & Jin Wang

Abstract Code-based public key encryption (PKE) is a popular choice to achieve post-quantum security, partly due to its capability to achieve fast encryption/decryption. However, code-based PKE has l…

Peng Zeng, Siyuan Chen & Kim-Kwang Raymond Choo

Abstract Image retrieval is the process of retrieving images from a database. Certain algorithms have been used for traditional image retrieval. However, such retrieval involves certain limitations, …

Mudhafar Jalil Jassim Ghrabat, Guangzhi Ma, Ismail Yaqub Maolood, Shayem Saleh Alresheedi & Zaid Ameen Abduljabbar

Abstract With the increasing advance of computer and information technologies, numerous research papers have been published online as well as offline, and as new research fields have been continuingl…

Sang-Woon Kim & Joon-Min Gil