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  • Open Access

    ARTICLE

    Mechanism Design and Mechanical Analysis of Multi-Suction Sliding Cleaning Robot Used in Glass Curtain Wall

    Jianxun Deng1, Jing Chen2, Dingcheng Wang3

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 201-206, 2019, DOI:10.32604/csse.2019.34.201

    Abstract In order to meet the needs of high-altitude glass curtain wall cleaning, a multi-suction sliding cleaning robot was designed. The sliding robot sucker, cleaning system, obstacle avoidance and rotation ability, walking circuit and mobile working principle of the cleaning robot were designed. This involved the analysis of the robot’s anti-rollover mechanics during adsorption, of robotic winds when working at height, and of anti-sliding mechanics during robot movement, in order to explore feasible ways to improve the robot’s adsorption performance. The relationship between the effective diameter D of the suction cup, the vacuum degree △ P, More >

  • Open Access

    ARTICLE

    Construction of an International Digital Sharing Platform of Dongba Manuscripts and Dongba Hieroglyphs

    Xu Xiaoli1,∗, Li Dong1, Jiang Zhanglei1, Li Ning1, Wu Guoxin1, Wang Hongjun1, Zhang Xu2, Bai Feng2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 191-199, 2019, DOI:10.32604/csse.2019.34.191

    Abstract With the aim of protecting, bequeathing, and sharing globally the Dongba manuscripts of the Chinese Naxi minority, the memory and heritage of which is under threat, this paper proposes ideas and plans for building a digital sharing platform to fulfil this aim using computer technology, information processing, online dissemination, multimedia display and other technologies to build an international digital platform for the sharing of Dongba manuscripts. This platform provides digital resources comprising Dongba manuscripts and related literature, tools for deciphering Dongba manuscripts, an environment for undertaking and sharing research, and dynamic information on the research… More >

  • Open Access

    ARTICLE

    Intelligent Power Compensation System Based on Adaptive Sliding Mode Control Using Soft Computing and Automation

    Qidan Zhua, Zhibo Yanga,*

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 179-189, 2019, DOI:10.32604/csse.2019.34.179

    Abstract The approach power compensator system (APCS) plays a role in the automatic carrier landing system (ACLS), and the performance of the APCS is affected by the carrier air-wake in the final-approach . In this paper, the importance of the APCS is verified through the analysis of the signal flow chart of the ACLS. Hence, it is necessary to suppress the carrier air-wake in order to improve the anti-interference ability. The adaptive sliding mode control (ASMC) not only has better dynamic tracking performance compared to the nonlinear mode, but also can efficiently resist the disturbance caused More >

  • Open Access

    ARTICLE

    An Upper Bound of Task Loads in a Deadline-D All Busy Period for Multiprocessor Global EDF Real-Time Systems

    Fengxiang Zhang

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 171-178, 2019, DOI:10.32604/csse.2019.34.171

    Abstract This paper addresses a number of mathematical issues related to multiprocessor global EDF platforms. We present a deadline-d all busy period and backward interference which are important concepts for multiprocessor EDF systems, and some general schedulability conditions for any studied job are proposed. We formally prove that at most m-1 different tasks’ jobs could contribute their execution time to an interval starting with a Pbusy−d, and we propose an approach for computing an exact upper bound of the total deadline-d task load in a given interval. Therefore, the proposed results are important foundations for constructing exact More >

  • Open Access

    ARTICLE

    Applications and Techniques in Cyber Intelligence

    Zheng Xu

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 169-170, 2019, DOI:10.32604/csse.2019.34.169

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Teensensor: Gaussian Processes for Micro-Blog Based Teen’S Acute and Chronic Stress Detection

    Yuanyuan Xue1,2, Qi Li1, LingFeng1

    Computer Systems Science and Engineering, Vol.34, No.3, pp. 151-164, 2019, DOI:10.32604/csse.2019.34.151

    Abstract Stress is a common problem all over the world. More and more teenagers today have to cope with different stressor events coming from school, family, peer relation, self-cognition, romantic relation, etc. Over-stress without proper guidance will lead to a series of potential problems including physical and mental disorders, and even suicide due to the shortage of teen’ s psychological endurance and controllability. Therefore, it is necessary and important to timely sense adolescents’ stress and help them release the stress properly. In this paper, we present a micro-blog based system called TeenSensor, aiming to detect teens… More >

  • Open Access

    ARTICLE

    Application of Radial Basis Function Networks with Feature Selection for GDP Per Capita Estimation Based on Academic Parameters

    Abdullah Erdal Tümer1,∗, Aytekin Akku¸s2

    Computer Systems Science and Engineering, Vol.34, No.3, pp. 145-150, 2019, DOI:10.32604/csse.2019.34.145

    Abstract In this work, a system based on Radial Basis Function Network was developed to estimate Gross Domestic Product per capita. The data set based on 180 academic parameters of 13 Organisation for Economic Co-operation and Development countries was used to verify the effectiveness and accuracy of the proposed method. Gross Domestic Product per capita was studied to be estimated for the first time with academic parameters in this study. The system has been optimized using feature selection method to eliminate unimportant features. Radial Basis Function network results and Radial Basis Function network with feature selection More >

  • Open Access

    ARTICLE

    Non-Deterministic Outlier Detection Method Based on the Variable Precision Rough Set Model

    Alberto Fernández Oliva1, Francisco Maciá Pérez2, José Vicente Berná-Martinez2,*, Miguel Abreu Ortega3

    Computer Systems Science and Engineering, Vol.34, No.3, pp. 131-144, 2019, DOI:10.32604/csse.2019.34.131

    Abstract This study presents a method for the detection of outliers based on the Variable Precision Rough Set Model (VPRSM). The basis of this model is the generalisation of the standard concept of a set inclusion relation on which the Rough Set Basic Model (RSBM) is based. The primary contribution of this study is the improvement in detection quality, which is achieved due to the generalisation allowed by the classification system that allows a certain degree of uncertainty. From this method, a computationally efficient algorithm is proposed. The experiments performed with a real scenario and a More >

  • Open Access

    ARTICLE

    A Novel Fuzzy Rough Sets Theory Based CF Recommendation System

    C. Raja Kumar1, VE. Jayanthi2

    Computer Systems Science and Engineering, Vol.34, No.3, pp. 123-129, 2019, DOI:10.32604/csse.2019.34.123

    Abstract Collaborative Filtering (CF) is one of the popular methodology in recommender systems. It suffers from the data sparsity problem, recommendation inaccuracy and big-error in predictions. In this paper, the efficient advisory tool is implemented for the younger generation to choose their right career based on their knowledge. It acquires the notions of indiscernible relation from Fuzzy Rough Sets Theory (FRST) and propose a novel algorithm named as Fuzzy Rough Set Theory Based Collaborative Filtering Algorithm (FRSTBCF). To evaluate the model, data is prepared using the cross validation method. Based on that, ratings are evaluated by… More >

  • Open Access

    ARTICLE

    A Two-Level Morphological Description of Bashkir Turkish

    Can Eyupoglu

    Computer Systems Science and Engineering, Vol.34, No.3, pp. 113-121, 2019, DOI:10.32604/csse.2019.34.113

    Abstract In recent years, the topic of Natural Language Processing (NLP) has attracted increasing interest. Many NLP applications including machine translation, machine learning, speech recognition, sentiment analysis, semantic search and natural language generation have been developed for most of the existing languages. Besides, two-level morphological description of the language to be used is required for these applications. However, there is no comprehensive study of Bashkir Turkish in the literature. In this paper, a two-level description of Bashkir Turkish morphology is described. The description based on a root word lexicon of Bashkir Turkish is implemented using Extensible More >

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