A Semantic-Sensitive Approach to Indoor and Outdoor 3D Data Organization

Building model data organization is often programmed to solve a specific problem,resulting in the inability to organize indoor and outdoor 3D scenes in an integrated manner.In this paper,existing building spatial data models are studied,and the characteristics of building information modeling standards(IFC),city geographic modeling language(CityGML),indoor modeling language(IndoorGML),and other models are compared and analyzed.CityGML and IndoorGML models face challenges in satisfying diverse application scenarios and requirements due to limitations in their expression capabilities.It is proposed to combine the semantic information of the model objects to effectively partition and organize the indoor and outdoor spatial 3D model data and to construct the indoor and outdoor data organization mechanism of“chunk-layer-subobject-entrances-area-detail object.”This method is verified by proposing a 3D data organization method for indoor and outdoor space and constructing a 3D visualization system based on it.

TD-SCDMA Networking Strategy with Interference Between Indoor and Outdoor Networks

The High Speed Downlink Packet Access (HSDPA) technology is employed for the data service in the Time Division Synchronous Code Division Multiple Access (TD-SCDMA) mobile communication system.Theoretically,the HSDPA peak data throughput per Time Slot (TS) available in the terminals reaches 560kb/s.Since the data service often occurs indoors,flexible TS allocation between uplink and downlink is applied in TD-SCDMA networking.That is,TS1 and TS2 are uplink time slots and TS3,TS4,TS5 and TS6 are downlink time slots in the indoor cell;and symmetry TS allocation is made for the outdoor cell.In the intra-frequency cell network,it can cause intra-frequency interference between cells.So the research on the intra-frequency crossed time slots interference is done and the suggestions on the intra-frequency crossed time slots networking strategy are proposed in this paper.

Pollution characteristics of 15 gas- and particle-phase phthalates in indoor and outdoor air in Hangzhou

Phthalate esters(PAEs),typical pollutants widely used as plasticizers,are ubiquitous in various indoor and outdoor environments.PAEs exist in both gas and particle phases,posing risks to human health.In the present study,we chose four typical kinds of indoor and outdoor environments with the longest average human residence times to assess the human exposure in Hangzhou,including newly decorated residences,ordinary residences,offices and outdoor air.In order to analyze the pollution levels and characteristics of 15 gasand particle-phase PAEs in indoor and outdoor environments,air and particulate samples were collected simultaneously.The total PAEs concentrations in the four types of environments were 25,396,25,466.8,15,388.8 and 3616.2 ng/m^3,respectively.DEHP and DEP were the most abundant,and DMPP was at the lowest level.Distinct variations in the distributions of indoor/outdoor,gas/particle-phase and different molecular weights of PAEs were observed,showing that indoor environments were the main sources of PAEs pollution.While most PAEs tended to exsit in indoor sites and gas-phase,the high-molecular-weight chemicals tended to exist in the particle-phase and were mainly found in PM2.5.PAEs were more likely adsorbed by small particles,especially for the indoor environments.There existed a good correlation between the particle matter concentrations and the PAEs levels.In addition,neither temperature nor humidity had obvious effects on the distributions of the PAEs concentrations.

RELATIVE LEVELS OF INDOOR AND OUTDOOR PARTICLE NUMBER CONCENTRATIONS IN A RESIDENTIAL BUILDING IN XI'AN

The time series of indoor and outdoor particle number concentrations in a naturally ventilated residential building in Xi＇an were tested simultaneously for 7 days in summer. The relationships between indoor and outdoor concentrations were examined and discussed, and linear regression analysis was employed to correlate the indoor and outdoor concentrations. The diurnal cycles of indoor and outdoor particle concentrations of different particle size ranges all showed positive correlations between indoor and outdoor number concentrations, The I/O ratios of number concentrations varied with the increase of particle size in the range of 0.89 （±0.19） to 0.99 （±0.15）.

Approaches of Integrating Outdoor and Indoor Spaces of Urban Landscape Buildings

With the economic development and increase of income, urban citizens have attached more importance to the comfort of living environment, and aesthetic property of buildings. Exterior design is the extension and redesign on the basis of interior design, interior and exterior spatial design and architectural design are closely related. This paper explored the approaches of integrating indoor and outdoor spaces of urban landscape buildings by analyzing excellent building cases.

Indoor and outdoor particle concentration distributions of a typical meeting room during haze and clear-sky days

Air quality has increasingly been a great concern all over the world,and the good command of indoor and outdoor air qualities is of

Spatial Processing and Coordination Design of Indoor and Outdoor Space

From the review of development history of indoor design in China, we can see that it develops rapidly from sprout to expansion, and has large professional scale. It goes through ignorance, misconception and comprehensive understanding. And it has developed into a perfect and independent composite subject. From the perspective of interior design continuing architectural design in time-space dimension, the paper focuses on observing the application analysis of coordinated interior design, which not only provides reference for interior design in China, but also improves the interior design in China.

An indoor air aerosol model for outdoor contaminant transmission into occupied rooms

The paper presents a simple model for outdoor air contaminant transmission into occupied rooms. In the model, several factors such as filtration, ventilation, deposition, re-emission, outdoor concentration and indoor sources are included. The model results show that the air exchange rate plays an important role in the transmission of outdoor contaminants into the indoor environment. The model shows that increasing the value of the filtration efficiency decreases the mass concentration of indoor particles. In addition, if outdoor aerosol particles have a periodic behaviour, indoor aerosol particles also behave periodically but smoother. Indoor sources are found to be able to increase indoor concentrations greatly and continuously.

Deep Pyramidal Residual Network for Indoor-Outdoor Activity Recognition Based on Wearable Sensor

Recognition of human activity is one of the most exciting aspects of time-series classification,with substantial practical and theoretical impli-cations.Recent evidence indicates that activity recognition from wearable sensors is an effective technique for tracking elderly adults and children in indoor and outdoor environments.Consequently,researchers have demon-strated considerable passion for developing cutting-edge deep learning sys-tems capable of exploiting unprocessed sensor data from wearable devices and generating practical decision assistance in many contexts.This study provides a deep learning-based approach for recognizing indoor and outdoor movement utilizing an enhanced deep pyramidal residual model called Sen-PyramidNet and motion information from wearable sensors(accelerometer and gyroscope).The suggested technique develops a residual unit based on a deep pyramidal residual network and introduces the concept of a pyramidal residual unit to increase detection capability.The proposed deep learning-based model was assessed using the publicly available 19Nonsens dataset,which gathered motion signals from various indoor and outdoor activities,including practicing various body parts.The experimental findings demon-strate that the proposed approach can efficiently reuse characteristics and has achieved an identification accuracy of 96.37%for indoor and 97.25%for outdoor activity.Moreover,comparison experiments demonstrate that the SenPyramidNet surpasses other cutting-edge deep learning models in terms of accuracy and F1-score.Furthermore,this study explores the influence of several wearable sensors on indoor and outdoor action recognition ability.

ADAPTIVE BUILDING AND SKIN:AN INNOVATIVE COMPUTATIONAL WORKFLOW TO DESIGN ENERGY EFFICIENT BUILDINGS IN DIFFERENT CLIMATE ZONES

This research aims at developing an innovative methodology and the related computational workflow to design energy efficient buildings equipped with climate responsive building skins able to respond dynamically to environmental conditions changing over the time.This methodology,called Adaptive Building and Skin(AB&S),is applicable in different climate zones and consists of a computational form-finding method,which supports architects and engineers in the buildings’design process resulting in buildings with optimized energy performance and a high level of indoor and outdoor comfort under changing environmental conditions.The innovativeness of AB&S lies in the fact that it includes the entire design process and considers several internal and external inputs to find the best solutions at all scales of a project:starting from the micro urban-scale with the design of the site and of the building shape,down to the building-scale and finally the skin-scale.Applicability and functionality of AB&S has been tested and improved in the design of office buildings located in specific cities located in different climate zones(cold,temperate,tropical and subtropical).Results of the application in Berlin,Germany,are presented in detail in this paper.