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Human-centric Computing and Information Sciences
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  1. 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 result, many brain-wave ...

    Authors: Ting-Mei Li, Han-Chieh Chao and Jianming Zhang

    Citation: Human-centric Computing and Information Sciences 2019 9:42

    Content type: Review

    Published on:

  2. 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 pervasive in our m...

    Authors: QianCheng Yu, ZhiWen Yu, Zhu Wang, XiaoFeng Wang and YongZhi Wang

    Citation: Human-centric Computing and Information Sciences 2019 9:41

    Content type: Research

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  3. 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 linear decision and supp...

    Authors: Fuquan Zhang, Tsu-Yang Wu, Jeng-Shyang Pan, Gangyi Ding and Zuoyong Li

    Citation: Human-centric Computing and Information Sciences 2019 9:40

    Content type: Research

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  4. 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 individuals (potential of...

    Authors: Ana Nieto and Ruben Rios

    Citation: Human-centric Computing and Information Sciences 2019 9:39

    Content type: Review

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  6. 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 study presents a Ma...

    Authors: Syed Nasir Danial, Jennifer Smith, Faisal Khan and Brian Veitch

    Citation: Human-centric Computing and Information Sciences 2019 9:37

    Content type: Research

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  7. 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 proposed methodolog...

    Authors: Syed Nasir Danial, Jennifer Smith, Brian Veitch and Faisal Khan

    Citation: Human-centric Computing and Information Sciences 2019 9:36

    Content type: Research

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  8. 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 text like a human ...

    Authors: Ning Liu, Bo Shen, Zhenjiang Zhang, Zhiyuan Zhang and Kun Mi

    Citation: Human-centric Computing and Information Sciences 2019 9:35

    Content type: Research

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  9. Multimodal sensors in healthcare applications have been increasingly researched because it facilitates automatic and comprehensive monitoring of human behaviors, high-intensity sports management, energy expend...

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

    Citation: Human-centric Computing and Information Sciences 2019 9:34

    Content type: Research

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  10. 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 attention. The rapid d...

    Authors: Chunyong Yin, Biao Zhou, Zhichao Yin and Jin Wang

    Citation: Human-centric Computing and Information Sciences 2019 9:33

    Content type: Research

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  11. 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 larger ciphertext an...

    Authors: Peng Zeng, Siyuan Chen and Kim-Kwang Raymond Choo

    Citation: Human-centric Computing and Information Sciences 2019 9:32

    Content type: Research

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  12. 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, such as manual imag...

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

    Citation: Human-centric Computing and Information Sciences 2019 9:31

    Content type: Research

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  14. In the recent era, artificial intelligence (AI) is being used to support numerous solutions for human beings, such as healthcare, autonomous transportation, and so on. Cognitive computing is represented as a n...

    Authors: Jin-ho Park, Mikail Mohammed Salim, Jeong Hoon Jo, Jose Costa Sapalo Sicato, Shailendra Rathore and Jong Hyuk Park

    Citation: Human-centric Computing and Information Sciences 2019 9:29

    Content type: Research

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  15. Fog computing network is designed as an extension of the cloud due to the need for a supporting platform capable of ensuring the requirements of Internet of Thing (IoT). The growth of fog based fifth generatio...

    Authors: Wided Ben Daoud, Mohammad S. Obaidat, Amel Meddeb-Makhlouf, Faouzi Zarai and Kuei-Fang Hsiao

    Citation: Human-centric Computing and Information Sciences 2019 9:28

    Content type: Research

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  16. In the original publication of this article [1], the Acknowledgements and Funding section in Declarations need to be revised.

    Authors: Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi and Irfanullah Awan

    Citation: Human-centric Computing and Information Sciences 2019 9:27

    Content type: Correction

    Published on:

    The original article was published in Human-centric Computing and Information Sciences 2019 9:24

  17. Group key agreement protocol permits a set of users to create a common key to make sure security of information exchange among members of the group. It is extensively used in secure multiparty computation, res...

    Authors: Vankamamidi S. Naresh, Sivaranjani Reddi and Nistala V. E. S. Murthy

    Citation: Human-centric Computing and Information Sciences 2019 9:26

    Content type: Research

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  19. Identification and classification of extremist-related tweets is a hot issue. Extremist gangs have been involved in using social media sites like Facebook and Twitter for propagating their ideology and recruit...

    Authors: Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi and Irfanullah Awan

    Citation: Human-centric Computing and Information Sciences 2019 9:24

    Content type: Research

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    The Correction to this article has been published in Human-centric Computing and Information Sciences 2019 9:27

  20. Constructing an ontology-based machine-readable knowledge base system from different sources with minimum human intervention, also known as ontology-based machine-readable knowledge base construction (OMRKBC),...

    Authors: Shirin Akther Khanam, Fei Liu and Yi-Ping Phoebe Chen

    Citation: Human-centric Computing and Information Sciences 2019 9:23

    Content type: Research

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  22. The spectrum sensing performance depends on the accuracy of the detection about whether primary users are busy or idle. Previous studies on cognitive radio spectrum sensing have shown that the cooperation betw...

    Authors: Runze Wan, Lixin Ding, Naixue Xiong, Wanneng Shu and Li Yang

    Citation: Human-centric Computing and Information Sciences 2019 9:22

    Content type: Research

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  23. Internet of Things (IoT) creates a world where smart objects and services interacting autonomously. Taking into account the dynamic-heterogeneous characteristic of interconnected devices in IoT, demand for a t...

    Authors: Venus Mohammadi, Amir Masoud Rahmani, Aso Mohammed Darwesh and Amir Sahafi

    Citation: Human-centric Computing and Information Sciences 2019 9:21

    Content type: Research

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  24. In wireless sensor networks (WSNs), sensor devices must be equipped with the capabilities of sensing, computation and communication. These devices work continuously through non-rechargeable batteries under har...

    Authors: Jin Wang, Xiujian Gu, Wei Liu, Arun Kumar Sangaiah and Hye-Jin Kim

    Citation: Human-centric Computing and Information Sciences 2019 9:18

    Content type: Research

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  26. 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 reconstruction can be performed...

    Authors: Phuong Minh Chu, Seoungjae Cho, Jisun Park, Simon Fong and Kyungeun Cho

    Citation: Human-centric Computing and Information Sciences 2019 9:17

    Content type: Research

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  27. 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 SDN makes it vulne...

    Authors: Muhammad Imran, Muhammad Hanif Durad, Farrukh Aslam Khan and Abdelouahid Derhab

    Citation: Human-centric Computing and Information Sciences 2019 9:16

    Content type: Research

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  29. 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 mechanisms are often n...

    Authors: Daniel T. Ramotsoela, Gerhard P. Hancke and Adnan M. Abu-Mahfouz

    Citation: Human-centric Computing and Information Sciences 2019 9:13

    Content type: Research

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  30. 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 maintenance than t...

    Authors: Shayem Saleh Alresheedi, Songfeng Lu, Mohamed Abd Elaziz and Ahmed A. Ewees

    Citation: Human-centric Computing and Information Sciences 2019 9:15

    Content type: Research

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  31. 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 services, users can u...

    Authors: Chao-Tung Yang, Shuo-Tsung Chen, Yu-Wei Chan and Yu-Chuan Shen

    Citation: Human-centric Computing and Information Sciences 2019 9:12

    Content type: Research

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  32. In the original publication of this article [1], some labels in the left column are incorrect in Fig. 3. They are revised in the updated figure below:

    Authors: Phil Legg, Jim Smith and Alexander Downing

    Citation: Human-centric Computing and Information Sciences 2019 9:11

    Content type: Correction

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    The original article was published in Human-centric Computing and Information Sciences 2019 9:5

  33. 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 is retained in its ...

    Authors: Malik Jahan Khan, Hussain Hayat and Irfan Awan

    Citation: Human-centric Computing and Information Sciences 2019 9:9

    Content type: Research

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  34. 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 general method in which e...

    Authors: Cheol Shim, Rupali Shinde and Min Choi

    Citation: Human-centric Computing and Information Sciences 2019 9:10

    Content type: Research

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  35. 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 HMD) is highly int...

    Authors: San Park, Seoungjae Cho, Jisun Park, Kaisi Huang, Yunsick Sung and Kyungeun Cho

    Citation: Human-centric Computing and Information Sciences 2019 9:8

    Content type: Research

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  36. 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 image saliency mostly...

    Authors: Yu Liu, Cong Zhang, Bo Hang, Song Wang and Han-Chieh Chao

    Citation: Human-centric Computing and Information Sciences 2019 9:7

    Content type: Research

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  37. 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 indoor space is widely ...

    Authors: Sunmin Lee, Jinah Kim and Nammee Moon

    Citation: Human-centric Computing and Information Sciences 2019 9:6

    Content type: Research

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  38. 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 collaboration. As new ...

    Authors: Phil Legg, Jim Smith and Alexander Downing

    Citation: Human-centric Computing and Information Sciences 2019 9:5

    Content type: Research

    Published on:

    The Correction to this article has been published in Human-centric Computing and Information Sciences 2019 9:11

  39. 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 such as operations, ...

    Authors: Alireza Souri, Amir Masoud Rahmani, Nima Jafari Navimipour and Reza Rezaei

    Citation: Human-centric Computing and Information Sciences 2019 9:4

    Content type: Research

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  40. 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, synchronization phenomena...

    Authors: Tinggui Chen, Jiawen Shi, Jianjun Yang and Gongfa Li

    Citation: Human-centric Computing and Information Sciences 2019 9:3

    Content type: Research

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  43. 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 want a system that ...

    Authors: Phonexay Vilakone, Doo-Soon Park, Khamphaphone Xinchang and Fei Hao

    Citation: Human-centric Computing and Information Sciences 2018 8:38

    Content type: Research

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  45. 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) on purchase inten...

    Authors: Yaqin Liu, Xinxing Luo and Yi Cao

    Citation: Human-centric Computing and Information Sciences 2018 8:37

    Content type: Research

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  46. 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 networks (CNN), long shor...

    Authors: Shingchern D. You, Chien-Hung Liu and Woei-Kae Chen

    Citation: Human-centric Computing and Information Sciences 2018 8:34

    Content type: Research

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  47. 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 process and a wide range...

    Authors: Song Zhou and Sheng Xiao

    Citation: Human-centric Computing and Information Sciences 2018 8:35

    Content type: Review

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  48. 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 kinds of active reg...

    Authors: Ai Sun, Yingjian Li, Yueh-Min Huang, Qiong Li and Guangming Lu

    Citation: Human-centric Computing and Information Sciences 2018 8:33

    Content type: Research

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  50. 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 enable a sense of imm...

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

    Citation: Human-centric Computing and Information Sciences 2018 8:31

    Content type: Research

    Published on:

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  • ISSN: 2192-1962 (electronic)