Jiangxi University of Finance and Economics

About: Jiangxi University of Finance and Economics is a education organization based out in Nanchang, China. It is known for research contribution in the topics: Fuzzy logic & China. The organization has 2865 authors who have published 3556 publications receiving 41567 citations.

What are the Key Indicators of Mega Sustainable Construction Projects? —A Stakeholder-Network Perspective

Abstract: Mega sustainable construction projects (MSCPs) require complex system engineering. There are various indicators available to evaluate sustainable construction, and it is difficult to determine which the key indicators are among them. Existing studies do not adequately consider the stakeholders associated with the indicators of sustainable construction, leading to key decision-makers’ lack of targeted management strategies to improve the sustainability level of MSCPs. Using literature analysis and expert interviews, this study identified the key evaluation indicators of MSCPs from a stakeholder-network perspective. Social network analysis (SNA) was used to explore the relationships between the key evaluation indicators and corresponding stakeholders. The results showed that the government and designers significantly impacted other stakeholders and played as the key stakeholders in MSCPs. Regarding the indicators, applying energy-saving and intelligent technologies plays a key role in the MSCPs. This study links key indicators of MSCPs with the associated stakeholders, which helps decision-makers to develop targeted strategies to improve the sustainability level of MSCPs, thereby not only improving the efficiency and effectiveness of the intervention strategies, but also helping to save decision-makers’ monetary and human resources which are usually limited.

Plaintext Related Two-level Secret Key Image Encryption Scheme

Abstract: Some chaos-based image encryption schemes using plain-images independent secret code streams have weak encryption security and are vulnerable to chosen plaintext and chosen cipher-text attacks. This paper proposed a two-level secret key image encryption scheme, where the first-level secret key is the private symmetric secret key, and the second-level secret key is derived from both the first-level secret key and the plain image by iterating piecewise linear map and Logistic map. Even though the first-level key is identical, the different plain images will produce different second-level secret keys and different secret code streams. The results show that the proposed has high encryption speed, and also can effectively resist the existing cryptanalytic attacks. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1599 Full Text: PDF

Spatial disparities of regional forest land change based on ESDA and GIS at the county level in Beijing-Tianjin-Hebei area

Abstract: Forest land is the essential and important natural resource that provides strong support for human survival and development. Research on forest land changes at the county level about its characteristics, rules, and spatial patterns is, therefore, important for regional resource protection and the sustainable development of the social economy. In this study we selected the GIS and Geoda software package to explore the spatial disparities of forest land changes at the Beijing-Tianjin-Hebei area county level, based on the global and local spatial autocorrelation analyses of exploratory spatial data. The results show that: 1) during 1985–2000, the global spatial autocorrelation of forest land change is significant in the study area. The global Moran’s I value is 0.3122 for the entire time period and indicates significant positive spatial correlation (p < 0.05). Moran’s I value of forest land change decreases from 0.3084 at the time stage I to 0.3024 at the time stage II; 2) the spatial clustering characteristics of forest land changes appear on the whole in Beijing-Tianjin-Hebei area. Moran’s I value decreases from the time stage I to time stage II, which means that trend of spatial clustering of forest land change is weakened in the Beijing-Tianjin-Hebei area; 3) the grid map of the local Moran’s I for each county reflects local spatial homogeneity of forest land change, which means that spatial clustering about regions of high value and low value is especially significant. The regions with “High-High” correlation are mainly located in the north hilly area. However, the regions with “Low-Low” correlation were distributed in the middle of the study area. Therefore, protection strategies and concrete measures should be put in place for each regional cluster in the study area.

Remote Sensing Image Fusion Based on Adaptively Weighted Joint Detail Injection

Abstract: Remote sensing image fusion based on the detail injection scheme consists of two steps: spatial details extraction and injection. The quality of the extracted spatial details plays an important role in the success of a detail injection scheme. In this paper, a remote sensing image fusion method based on adaptively weighted joint detail injection is presented. In the proposed method, the spatial details are first extracted from the multispectral (MS) and panchromatic (PAN) images through a trous wavelet transform and multiscale guided filter. Different from the traditional detail injection scheme, the extracted details are then sparsely represented to produce the primary joint details by dictionary learning from the subimages themselves. To obtain the refined joint details information, we subsequently design an adaptive weight factor considering the correlation and difference between the previous joint details and PAN image details. Finally, the refined joint details are injected into the MS image using modulation coefficient to achieve the fused image. The proposed method has been tested on QuickBird, IKONOS, and WorldView-2 datasets and compared to several state-of-the-art fusion methods in both subjective and objective evaluations. The experimental results indicate that the proposed method is effective and robust to images from various satellites sensors.