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This paper aims to introduce recently an unregulated unsupervised algorithm focused on voice activity detection by data clustering maximum margin, i.e. support vector machine. The algorithm for clustering K-mean used to solve speech behaviour detection issues was later applied, the application, therefore, did not permit the identification of voice detection. This is critical in demands for speech recognition.

Here, the authors find a voice activity detection detector based on a report provided by a K-mean algorithm that permits sliding window detection of voice and noise. However, first, it needs an initial detection pause. The machine initialized by the algorithm will work on health-care infrastructure and provides a platform for health-care professionals to detect the clear voice of patients.

Timely usage discussion on many histories of NOISEX-92 var reveals the average non-speech and the average signal-to-noise ratios hit concentrations which are higher than modern voice activity detection.

Research work is original.

The purpose of this paper is to explain how post-1997 Hong Kong has been perceived in Taiwan and to critically evaluate the demonstration effects of Hong Kong under the “One Country, Two Systems” policy on cross-strait relations.

“Today’s Hong Kong, Tomorrow’s Taiwan” has become a dominant discourse in cross-strait relations in recent years. The paper has adopted discourse analysis of selected texts during and after the 2014 Sunflower Movement to elucidate the disapproval of the developments of post-handover Hong Kong and the construction of the Movement’s self-identity.

It has observed the following arguments which shaped the prevailing perceptions among critics of the “One Country, Two Systems” policy: political infiltration of China in Hong Kong could be extended to Taiwan in the sense that the Beijing authorities would adopt the identical approach to manipulate Taiwan through the cross-strait trading agreements; negative perceptions and images of China and Chinese capitals as a collective aggressor and a threat, raising fear and worries in both Hong Kong and Taiwan; and Kuomintang, as a ruling party at that time under the leadership of President Ma Ying-jeoh, was dismissed by protesters as an incompetent gatekeeper and defender of Taiwan’s interests.

The pervasive sentiments and perceptions about post-1997 Hong Kong has been articulated discursively by the young activists in Taiwan and Hong Kong into a statement – “Today’s Hong Kong, Tomorrow’s Taiwan” – which has brought about a somewhat unexpected bonding effect between Hong Kong and Taiwan through a strong disapproval of “One Country, Two Systems” and the China factor, which has be reproduced, delivered and circulated in both societies since 2014.

Renovation philosophy and residential construction mode are key problems encountered in the renovation of urban villages in China. Existing research fruits on renovation philosophy, and policies consider fairness and efficiency and cover-sharing research consensus. However, research on residential construction mode in renovation still faces challenges, such as weak relevant policy pertinence, insufficient objective references, and poor universality. In this study, the changes of the architectural spaces of a typical urban village community in Xi'an City from the beginning to the end of the renovation were discussed. The space requirements of different user groups were analyzed and summarized, and then adapted to the different types of building spaces. In addition, the residential construction model applicable to the inclusive renovation philosophy was established. Research results corroborated that the renovation of urban village should refer to its functional orientations in the community. The community-centered renovation residential district should also meet the requirements of different user groups in the community, including residential, living, and entertainment functions. Community-subcentered residential district should meet the space demands of residential and living functions. Community-subordinated residential district meets space demands of internal residents for residential and living. Moreover, residential district space is relieved by combining practical and certain spatial factors. In this research, the building space compositions of different user groups were reviewed and refined in the “bottom-up” pattern. Research conclusions provide design references for the practical renovation of urban villages.

Many tourism-related industries, such as hotels, use social media as a marketing tool for promotion and distribution. This paper aims to use a model that explores the impact of social media platform image (SMPI) on customers’ visit intention (VI) in a hotel context, using hotel image (HI), motivation (Mot) and anticipated service quality (ASQ) as mediators. The objectives of this study are then: to understand the interactions between the two brand images, to test the mediation effect of HI, Mot and ASQ and to investigate how this interaction contributes to customers’ VI to hotel.

This study used a convenience sampling method that targeted respondents who are willing to book a hotel using a social media platform such as Facebook and a hotel reservation website (Agoda, Airbnb, Booking.com, Hotels.com and Trivago) that have forums that allow customers to share their experiences. The survey was conducted through various social media platforms, with 349 responses being collected.

This study finds that SMPI contributes to Mot largely through HI, Mot partly mediates the relationship between HI and ASQ and Mot contributes to VI mostly through direct impact and a small part through ASQ. The findings also indicate that SMPI is less potent in terms of contributing to the later constructs if HI is low.

This research provides practical implications for marketers serving the hotel industry, and social media sites, and establishes the interrelationship between them. This research also offers insight to the hotel managers for using social media platforms to attract potential visitors because social media platforms in recent years have become significant contributors to customers’ decision-making process of booking and visiting a hotel.

This study provides results on how social media platforms can be caused to become a more effective hotel promotion channel.

The purpose of this paper is to examine the production of smart tourism knowledge, thereby revealing the development of the concept through collaborative networks.

A bibliometric analysis, which enables visual mapping and observation of the domain, was conducted using journal articles retrieved during the period of 2000 to 2018.

The understanding of smart tourism is shaped and enhanced through collaborative network of researchers. As the domain develops, its reach expands across different networks as well as core themes.

Data for the study was generated from English-written journal articles that were produced from a database search of specific keywords associated with smart tourism.

Findings can prove useful to academic researchers and industry practitioners to aid their understanding of smart tourism research development, identify the underlying context and aid in coherent development of the concept.

The paper is one of the first articles to provide a greater understanding of smart tourism as a research topic by examining its evolution in an academic context through bibliometric analysis.

本论文对智慧旅游相关知识进行审阅, 并通过协作网络对其概念发展进行梳理。

本论文采用Gephi文献计量分析方法, 对其相关领域的发展进行视觉化处理, 构建出发展图。研究样本为2000年至2018年发表的期刊文章, 通过在线搜索数据库获得。

通过研究者之间的协作网络, 本论文研究结果对智慧旅游的认识清晰形成并且更加深刻。自智慧旅游领域发展以来, 其发展扩展到不同网络以及多个核心主题。

研究样本只局限于数据库中的英文期刊文章, 以及采用有限的智慧旅游的关键词搜索。

研究结果对学术学者和业界人士有着深刻效用, 以帮助他们对智慧旅游研究发展构筑清晰理解, 找到其研究背景以及概念发展的核心过程。

Partial alignment for 3 D point sets is a challenging problem for laser calibration and robot calibration due to the unbalance of data sets, especially when the overlap of data sets is low. Geometric features can promote the accuracy of alignment. However, the corresponding feature extraction methods are time consuming. The purpose of this paper is to find a framework for partial alignment by an adaptive trimmed strategy.

First, the authors propose an adaptive trimmed strategy based on point feature histograms (PFH) coding. Second, they obtain an initial transformation based on this partition, which improves the accuracy of the normal direction weighted trimmed iterative closest point (ICP) method. Third, they conduct a series of GPU parallel implementations for time efficiency.

The initial partition based on PFH feature improves the accuracy of the partial registration significantly. Moreover, the parallel GPU algorithms accelerate the alignment process.

This study is applicable to rigid transformation so far. It could be extended to non-rigid transformation.

In practice, point set alignment for calibration is a technique widely used in the fields of aircraft assembly, industry examination, simultaneous localization and mapping and surgery navigation.

Point set calibration is a building block in the field of intelligent manufacturing.

The contributions are as follows: first, the authors introduce a novel coarse alignment as an initial calibration by PFH descriptor similarity, which can be viewed as a coarse trimmed process by partitioning the data to the almost overlap part and the rest part; second, they reduce the computation time by GPU parallel coding during the acquisition of feature descriptor; finally, they use the weighted trimmed ICP method to refine the transformation.

The purpose of this paper is to test the existence of stylized facts, such as the volatility clustering, heavy tails seen on financial series, long-term dependence and multifractality on the returns of four real estate indexes using different types of indexes: conventional and Islamic by comparing pre and during COVID-19 pandemic.

Firstly, the authors examined the characteristics of the indexes. Secondly, the authors estimated the parameters of the stable distribution. Then, the long memory is detected via the estimation of the Hurst exponents. Afterwards, the authors determine the graphs of the multifractal detrended fluctuation analysis (MF-DFA). Finally, the authors apply the WTMM method.

The results suggest that the real estate indexes are far from being efficient and that the lowest level of multifractality was observed for Islamic indexes.

The inefficiency behavior of real estate indexes gives us an idea about the prediction of the behavior of future returns in these markets on the basis of past informations. Similarly, market participants would do well to reassess their investment and risk management framework to mitigate new and somewhat higher levels of risk of their exposures during the turbulent period.

To the authors’ knowledge, this is the first real estate market study employing STL decomposition before applying the MF-DFA in the context of the COVID-19 crisis. Likewise, the study is the first investigation that focuses on these four indexes.

Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of construction engineering and management, and traditionally, it has been treated as a random phenomenon. However, there are many types of uncertainty that are not naturally modelled by probability theory, such as subjectivity, ambiguity and vagueness. Fuzzy logic provides an approach for handling such uncertainties. However, fuzzy logic alone has some limitations, including its inability to learn from data and its extensive reliance on expert knowledge. To address these limitations, fuzzy logic has been combined with other techniques to create fuzzy hybrid techniques, which have helped solve complex problems in construction. In this chapter, a background on fuzzy logic in the context of construction engineering and management applications is presented. The chapter provides an introduction to uncertainty in construction and illustrates how fuzzy logic can improve construction modelling and decision-making. The role of fuzzy logic in representing uncertainty is contrasted with that of probability theory. Introductory material is presented on key definitions, properties and methods of fuzzy logic, including the definition and representation of fuzzy sets and membership functions, basic operations on fuzzy sets, fuzzy relations and compositions, defuzzification methods, entropy for fuzzy sets, fuzzy numbers, methods for the specification of membership functions and fuzzy rule-based systems. Finally, a discussion on the need for fuzzy hybrid modelling in construction applications is presented, and future research directions are proposed.