A Fine-grained Building Height Control Method for Heritage Areas from the Perspective of Visual Integrity

This study proposes a refined methodology for controlling building heights in heritage areas.In order to protect the visual integrity of the heritage area,buildings should not obstruct the view from important site points and viewpoints to the periphery.By calculating the building height thresholds that buildings should not obscure the view from each viewpoint,the results of which are weighted and superimposed,and the values are extracted to each building unit as a refined building height control guideline.This study takes the Zhoukoudian area as a case study,applies the refined building height control criterion to the Zhoukoudian Site,and relies on this refined criterion to assess the visual integrity of the Zhoukoudian area,so as to realize the scientific planning and monitoring of the Zhoukoudian area.The refined building height control method can be applied to building height planning and visual landscape protection in large heritage areas.

GPU Accelerated Marine Data Visualization Method

The study of marine data visualization is of great value. Marine data, due to its large scale, random variation and multiresolution in nature, are hard to be visualized and analyzed. Nowadays, constructing an ocean model and visualizing model results have become some of the most important research topics of ‘Digital Ocean'. In this paper, a spherical ray casting method is developed to improve the traditional ray-casting algorithm and to make efficient use of GPUs. Aiming at the ocean current data, a 3D view-dependent line integral convolution method is used, in which the spatial frequency is adapted according to the distance from a camera. The study is based on a 3D virtual reality and visualization engine, namely the VV-Ocean. Some interactive operations are also provided to highlight the interesting structures and the characteristics of volumetric data. Finally, the marine data gathered in the East China Sea are displayed and analyzed. The results show that the method meets the requirements of real-time and interactive rendering.

Identification of metastasis-associated genes in colorectal cancer through an integrated genomic and transcriptomic analysis

Objective： Identification of colorectal cancer （CRC） metastasis genes is one of the most important issues in CRC research. For the purpose of mining CRC metastasis-associated genes, an integrated analysis of mJcroarray data was presented, by combined with evidence acquired from comparative genornic hybridization （CGH） data. Methods： Gene expression profile data of CRC samples were obtained at Gene Expression Omnibus （GEO） website. The 15 important chromosomal aberration sites detected by using CGH technology were used for integrated genomic and transcriptomic analysis. Significant Analysis of Microarray （SAM） was used to detect significantly differentially expressed genes across the whole genome. The overlapping genes were selected in their corresponding chromosomal aberration regions, and analyzed by using the Database for Annotation, Visualization and Integrated Discovery （DAVID）. Finally, SVM-T-RFE gene selection algorithm was applied to identify ted genes in CRC. Results： A minimum gene set was obtained with the minimum number [14] of genes, and the highest classification accuracy （100%） in both PRI and META datasets. A fraction of selected genes are associated with CRC or its metastasis. Conclusions- Our results demonstrated that integration analysis is an effective strategy for mining cancer- associated genes.

Identifying visual sensitive areas:an evaluation of view corridors to support nature-culture heritage conservation in Chiang Mai historic city

The visual integrity of mountains contributing to cultural landscapes as nature-culture attributes is often obscured by the vertical intrusive built environment,especially in bufer areas of protected heritage zones.Therefore,this study argued that even low/medium-rise buildings that inappropriately appear in the horizontal visual plane could be a factor increasing sensitivity to this panoramic view.An integrative tool–visual sensitivity assessment–consists of Viewshed and Skyline analysis considering the pedestrian’s visual limitation in identifying the sensitive areas of the mountain view corridor in the historic city of Chiang Mai.The visible mountain areas(VMAs)were determined as a baseline,and their relationship with the visible building areas(VBAs)was then examined using statistical correlation to defne a strong negative relationship as the visual sensitive areas in fve zones.The results showed that the bufer zone was found to have more areas with visual sensitivity values,but this varies depending on the characteristics of buildings and the assessment from the view corridor.Meanwhile,in height-restricted areas,such as historic area zone 5,there are some concerns about the visual intrusion,which necessitates continuous monitoring using the assessment result as a guideline.Incorporating the results into implementation could support cultural landscape conservation in Chiang Mai city.The method is applicable in historic cities with similar settings to produce the baseline for the built environment that is harmonious with the cultural and historical characteristics of the city and with respect to its broader setting.

Perspectives on point cloud-based 3D scene modeling and XR presentation within the cloud-edge-client architecture

With the support of edge computing,the synergy and collaboration among central cloud,edge cloud,and terminal devices form an integrated computing ecosystem known as the cloud-edge-client architecture.This integration unlocks the value of data and computational power,presenting significant opportunities for large-scale 3D scene modeling and XR presentation.In this paper,we explore the perspectives and highlight new challenges in 3D scene modeling and XR presentation based on point cloud within the cloud-edge-client integrated architecture.We also propose a novel cloud-edge-client integrated technology framework and a demonstration of municipal governance application to address these challenges.

Neurofeedback Treatment Study for ADHD by Using the Brain-Computer Interface Neurofeedback System

Neurofeedback or electroencephalogram(EEG) biofeedback technology is widely used in clinical rehabilitation field. In this paper, we used a brain-computer interface(BCI) neurofeedback system for attention deficit hyperactivity disorder(ADHD) children treatment.After 20 training sessions, integrated visual and auditory-conhnuous performance test(IVA-CPT), DSM-IV and conner scale results suggested that the attention ofsubjectshad been strengthened, which showed that the BCI neurofeedback system could provide an effective therapyfor treating ADHDchildren.