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The first purpose of this paper is to propose a scalable video coding scheme providing flexibility in video transmission, especially under wireless environment. The second purpose is to analyze the problem of lengthening the key frame interval in distributed video coding (DVC), and propose an approach to improve the rate‐distortion (RD) performance of DVC for long group‐of‐frames (GOF) size.

In the proposed scheme, a base layer is first obtained from an H.264 coder. When a DVC coder is then used to code the enhancement layer, information in processing the base layer is extracted and analyzed to make multiple side‐information available and reduce error accumulation for DVC coding, thus further improving the performance of the DVC coder.

By dividing video into base and enhancement layers, the combined video coding architecture enables a flexible video transmission. In addition, several methods are used to improve the RD performance in DVC coding. Simulation shows that the proposed scheme outperforms non‐scalable DVC for long GOF size.

Prediction from the decoding loop in base layer encoder largely reduces enhancement layer spatial redundancy. Multiple side‐information provides better estimation for DVC reconstruction. Long prediction loop is more reliable because error accumulation is effectively compensated.

Despite the widespread use of univariate empirical mode decomposition (EMD) in financial market forecasting, the application of multivariate empirical mode decomposition (MEMD) has not been fully investigated. The purpose of this study is to forecast the stock price index more accurately, relying on the capability of MEMD in modeling the dependency between relevant variables.

Quantitative and comprehensive assessments were carried out to compare the performance of some selected models. Data for the assessments were collected from three major stock exchanges, namely, the standard and poor 500 index from the USA, the Hang Seng index from Hong Kong and the Shanghai Stock Exchange composite index from China. MEMD-based support vector regression (SVR) was used as the modeling framework, where MEMD was first introduced to simultaneously decompose the relevant covariates, including the opening price, the highest price, the lowest price, the closing price and the trading volume of a stock price index. Then, SVR was used to set up forecasting models for each component decomposed and another SVR model was used to generate the final forecast based on the forecasts of each component. This paper named this the MEMD-SVR-SVR model.

The results show that the MEMD-based modeling framework outperforms other selected competing models. As per the models using MEMD, the MEMD-SVR-SVR model excels in terms of prediction accuracy across the various data sets.

This research extends the literature of EMD-based univariate models by considering the scenario of multiple variables for improving forecasting accuracy and simplifying computability, which contributes to the analytics pool for the financial analysis community.

Currently, the Tang tomb mural cultural relic resources are presented in a multi-source and heterogeneous manner, with a lack of effective organization and sharing between resources. Therefore, this study aims to propose a multidimensional knowledge discovery solution for Tang tomb mural cultural relic resources.

Taking the Tang tomb murals collected by the Shaanxi History Museum as an example, based on clarifying the relevant concepts of Tang tomb mural resources and considering both dynamic and static dimensions, a top-down approach was adopted to first construct an ontology model of Tang tomb mural type cultural relics resources. Then, the actual case data was imported into the Neo4J graph database according to the defined pattern hierarchy to complete the static organization of knowledge, and presented in a multimodal form in knowledge reasoning and retrieval. In addition, geographic information system (GIS) technology is used to dynamically display the spatiotemporal distribution of Tang tomb mural resources, and the distribution trend is analysed from a digital humanistic perspective.

The multi-dimensional knowledge discovery of Tang tomb mural cultural relics resources can help establish the correlation and spatiotemporal relationship between resources, providing support for semantic retrieval and navigation, knowledge discovery and visualization and so on.

This study takes the murals in the collection of the Shaanxi History Museum as an example, revealing potential knowledge associations in a static and intelligent way, achieving knowledge discovery and management of Tang tomb murals, and dynamically presents the spatial distribution of Tang tomb murals through GIS technology, meeting the knowledge presentation needs of different users and opening up new ideas for the study of Tang tomb murals.

The purpose of this paper is to explain how institutional elements and market conditions shape and then reshape the development of high‐tech industries in large emerging countries.

This paper develops a new framework to assess the impact of market and institutions on the high‐tech industry evolution in large emerging economies such as China. The qualitative approach based on historical data and interviews are provided to support the framework.

The framework and empirical research suggest that the institution systems and market dynamics will interact and influence the transformation process of industrial structure and the strategic choice of partnership arrangement between the domestic and foreign firms. The complementary assets which are considered as proxy to the resource accessibility in the market are also identified in the framework and it was verified in the case study.

This study has important implications for business strategy in emerging economies. The authors' observations indicate building close ties with domestic firms is an important asset to minimize the liability of foreignness for multinational firms. The paper has alluded to co‐evolutionary dynamics in the development of high‐tech industry in China by linking market initiative with institutional environment.

First, the study contributes to institutional‐based view of business strategy by explaining the choice of strategic partnerships between indigenous and foreign players arising from institutional and market considerations. Second, the study extends our understanding of technological catch up in newly‐industrializing countries by showing the interrelation between market elements and institutional arrangements and the corresponding changes to meet technological development needs.

The purpose of this paper is to manifest how intellectual capital statement (ICS) adapts the Chinese management scenario. ICS has become a key management instrument for securing competitiveness and sustainable growth in European small- and medium-sized enterprises (SMEs). However, if the approach rooted in Europe can have a good effect in China is still unknown.

The paper analyzes the reasons why ICS appears in Europe on a macro-level including innovation culture, innovation policy and innovation paths. These aspects are also characterized for China to describe the Chinese management scenario and innovation environment. Further, the paper divides ICS into three parts: model layer, indicators layer and operating layer on a micro-level. For the management scenario of China, it explains the adaptation of the three layers for application in a Chinese context.

The innovation culture, innovation policy and innovation paths are different in Europe and China. Therefore, the applications of model, indicator and operating layers of ICS are also different in China. The paper indicates that it needs some adjustments when applying ICS in Chinese enterprises.

There are no application practices of ICS in China until now, so the analysis of this paper is based on the theoretical level. Moreover, in the part of innovation culture, the paper is limited to comparing the cultures of Germany and China.

This is the first paper which investigates the application of ICS in China.

The historic Belt and Road Initiative (BRI) is an economic reform policy proposed by the Chinese Government that focuses on connectivity, improved collaboration and more robust economic relations. This paper aims to identify risks involved in BRI infrastructure project and establish a hierarchical relationship among them.

The methodology includes two phases, namely, identification of significant risks involved in the BRI project using systematic literature review and to develop a hierarchical relationship between the risks using interpretive structural modeling followed by the MICMAC analysis.

This work has identified the 11 risks of BRI infrastructure projects through academic literature. Based on the analysis, economic risk (R3), environmental risk (R1) and political risk (R2) are placed at level six in the ISM model and can significantly influence BRI infrastructure projects. These risks have high driving power, which exaggerates other risks.

This study would help Engineering Procurements and Construction contractors in strategic decision-making select risk mitigation strategies and make robust and efficient infrastructure projects. However, additional factors may be considered, which are essential for the BRI infrastructure project.

This research’s novelty lies in the advancement of expertise in project risk assessment. This study contributes by identifying the most significant risks involved in the BRI project. The integrated ISM-MICMAC approach provides a macro picture of BRI project risks to formulate better strategies for its success.

Green energy as a transportation supply trend is irreversible. In this paper, a highway energy supply system (HESS) evolution model is proposed to provide highway transportation vehicles and service facilities with a clean electricity supply and form a new model of a source-grid-load-storage-charge synergistic highway-PV-WT integrated system (HPWIS). This paper aims to improve the flexibility index of highways and increase CO₂ emission reduction of highways.

To maximize the integration potential, a new energy-generation, storage and information-integration station is established with a dynamic master–slave game model. The flexibility index is defined to evaluate the system ability to manage random fluctuations in power generation and load levels. Moreover, CO₂ emission reduction is also quantified. Finally, the Lianhuo Expressway is taken as an example to calculate emission reduction and flexibility.

The results show that through the application of the scheduling strategy to the HPWIS, the flexibility index of the Lianhuo Expressway increased by 29.17%, promoting a corresponding decrease in CO₂ emissions.

This paper proposed a new model to capture the evolution of the HESS, which provides highway transportation vehicles and service facilities with a clean electricity supply and achieves energy transfer aided by an energy storage system, thus forming a new model of a transportation energy system with source-grid-load-storage-charge synergy. An evaluation method is proposed to improve the air quality index through the coordination of new energy generation and environmental conditions, and dynamic configuration and dispatch are achieved with the master–slave game model.

The purpose of this paper is to investigate the liability of foreignness (LOF) concept when entering a new market. Drawing on the past literature, the current research provides a summary of issues of the main LOF that companies face, as well as suggestions to help avoid such burdens. The research also attempts to provide a bibliographic analysis of the topic.

Articles were collected from All Database of ISI Web of Knowledge, using “all years,” “social science,” and “business economics” as search terms. Relevant papers on the LOF topic were retrieved and sorted to identify the main issues. Furthermore, a bibliographic analysis of the LOF concept was elaborated. HistCite software was used to create a table and a graph for the most relevant papers. A summary of issues on LOF strategies was created along with guidance for companies entering a new market.

The study sorts strategies to avoid LOF, including operational capabilities, entry modes, country of origin, legitimacy achievement, risk of politico-economic changes, and location selection. The study identified strategies for small- and medium-sized businesses (SMEs) entering emerging and transitional economies, as well as suggestions when entering sophisticated economies.

The current data summary informs managers from diverse organizations who attempt to enter a new market with particular sociopolitical contexts.

A summary of issues on LOF and suggestions for overcoming these problems to help companies enter new markets have not been available. The current study attempts to fill that void, providing suggestions to managers and business owners who have moved or expanded their businesses to a foreign country or contemplate an international move.