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Many countries are concerned about high particulate matter (PM) concentrations caused by rapid industrial development, which can harm both human health and the environment. To manage PM, the prediction of PM concentrations based on historical data is actively being conducted. Existing technologies for predicting PM mostly assess the model performance for the prediction of existing PM concentrations; however, PM must be forecast in advance, before it becomes highly concentrated and causes damage to the citizens living in the affected regions. Thus, it is necessary to conduct research on an index that can illustrate whether the PM concentration will increase or decrease. We developed a model that can predict whether the PM concentration might increase or decrease after a certain time, specifically for PM
Junbeom Park; Seongju Chang. A Particulate Matter Concentration Prediction Model Based on Long Short-Term Memory and an Artificial Neural Network. International Journal of Environmental Research and Public Health 2021, 18, 6801 .
AMA StyleJunbeom Park, Seongju Chang. A Particulate Matter Concentration Prediction Model Based on Long Short-Term Memory and an Artificial Neural Network. International Journal of Environmental Research and Public Health. 2021; 18 (13):6801.
Chicago/Turabian StyleJunbeom Park; Seongju Chang. 2021. "A Particulate Matter Concentration Prediction Model Based on Long Short-Term Memory and an Artificial Neural Network." International Journal of Environmental Research and Public Health 18, no. 13: 6801.
Semi-transparent photovoltaic (STPV) windows, one of the building façade elements, can generate electricity and provide a certain amount of daylight for occupants. Nevertheless, expensive cost and unsatisfying indoor daylight performance in the room are common problems with STPV windows. This study investigates the thermal, daylight, energy, and life-cycle cost performance of STPV windows by considering varied window-to-wall ratios, building orientations, and STPV module types. The electricity balance index (elBI) indicator is proposed as one of the performance evaluation criteria. Two types of building models are established for this study: a rig-test building as the baseline building model and a KAIST campus research facility as the test building model along with the actual measurements and simulations using DesignBuilder. Results show that the STPV window in the Mediterranean climate demonstrates higher efficiency based on the elBI indicator. Decision-making analysis using the analytic hierarchy process and PROMETHEE II found weighting rates of 0.309, 0.076, and 0.465 for elBI, comfort, and cost criteria, respectively. Furthermore, lighting energy consumption becomes a critical variable for STPV module type selection, while a simple ON/OFF lighting control system can improve the elBI value by 0.02 ~ 0.04. Our research findings could potentially improve the decision-making process for building and urban energy systems selection in different climate types.
Gigih Setyantho; Hansaem Park; Seongju Chang. Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts. Sustainability 2021, 13, 2198 .
AMA StyleGigih Setyantho, Hansaem Park, Seongju Chang. Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts. Sustainability. 2021; 13 (4):2198.
Chicago/Turabian StyleGigih Setyantho; Hansaem Park; Seongju Chang. 2021. "Multi-Criteria Performance Assessment for Semi-Transparent Photovoltaic Windows in Different Climate Contexts." Sustainability 13, no. 4: 2198.
Even in case ventilation system is operating in optimal fashion, indoor air quality could be varied depending on the indoor contaminant release occasions. Thus, accurate and rapid identification of contaminant source locations in indoor environment is critical for occupants’ health as well as building safety and integrity. This study presented a novel method to locate indoor contaminant source using local mean residual-life-time (LMR). Based on the theoretical definition of LMR, a characteristic quantitative relationship between the LMR at source location and the contaminant concentration profile of a room was derived and assessed through two stages of studies: experimental and numerical explorations. In the experiments, by changing contaminant release location under limited condition, the LMR at the source location and the contaminant concentration profile of a test chamber were measured. Then, the outcomes were examined to verify whether the derived equation was established in the chamber. Computational Fluid Dynamics (CFD) technique was also used to make up for the experimental limitations. CFD simulations were carried out to analyze the validity of the equation in response to different release locations of the contaminant in a more complex physical environment by obtaining high-resolution information. Both experimental and numerical results showed that the presented equation was well established and could be used to locate indoor contaminant source even in non-ideal situation or in complicated spaces.
Dong Yoon Park; Seongju Chang. Tracing indoor contaminant release location based on local mean residual-life-time of air. International Journal of Ventilation 2020, 20, 135 -157.
AMA StyleDong Yoon Park, Seongju Chang. Tracing indoor contaminant release location based on local mean residual-life-time of air. International Journal of Ventilation. 2020; 20 (2):135-157.
Chicago/Turabian StyleDong Yoon Park; Seongju Chang. 2020. "Tracing indoor contaminant release location based on local mean residual-life-time of air." International Journal of Ventilation 20, no. 2: 135-157.
Significant amounts of energy are consumed in the commercial building sector, resulting in various adverse environmental issues. To reduce energy consumption and improve energy efficiency in commercial buildings, it is necessary to develop effective methods for analyzing building energy use. In this study, we propose a data cube model combined with association rule mining for more flexible and detailed analysis of building energy consumption profiles using the Commercial Buildings Energy Consumption Survey (CBECS) dataset, which has accumulated over 6700 existing commercial buildings across the U.S.A. Based on the data cube model, a multidimensional commercial sector building energy analysis was performed based upon on-line analytical processing (OLAP) operations to assess the energy efficiency according to building factors with various levels of abstraction. Furthermore, the proposed analysis system provided useful information that represented a set of energy efficient combinations by applying the association rule mining method. We validated the feasibility and applicability of the proposed analysis model by structuring a building energy analysis system and applying it to different building types, weather conditions, composite materials, and heating/cooling systems of the multitude of commercial buildings classified in the CBECS dataset.
Byeongjoon Noh; Juntae Son; Hansaem Park; Seongju Chang. In-Depth Analysis of Energy Efficiency Related Factors in Commercial Buildings Using Data Cube and Association Rule Mining. Sustainability 2017, 9, 2119 .
AMA StyleByeongjoon Noh, Juntae Son, Hansaem Park, Seongju Chang. In-Depth Analysis of Energy Efficiency Related Factors in Commercial Buildings Using Data Cube and Association Rule Mining. Sustainability. 2017; 9 (11):2119.
Chicago/Turabian StyleByeongjoon Noh; Juntae Son; Hansaem Park; Seongju Chang. 2017. "In-Depth Analysis of Energy Efficiency Related Factors in Commercial Buildings Using Data Cube and Association Rule Mining." Sustainability 9, no. 11: 2119.
The aim of this research is to investigate the effectiveness of vertical vegetation in terms of energy savings for a residential facility situated at KAIST campus. The research has been established through analyzing different building orientations to find out the most suitable combination of vegetation and orientation for reduced heating and cooling energy consumption. A simulation model has been developed where leaf area index, one of the contributing plant physiological parameters for improving building thermal performance, has been incorporated as per seasonal variations. This allowed observing thermal performance patterns of green wall throughout the year. Approximately 60 % savings in heating energy and 31 % increase in overall energy efficiency were achieved with the non-insulated studied building case, and the results showed extreme weather conditions lead to greater energy savings in winter. In cooling season, plant layers were found to be less effective in terms of facade thermal performance especially during relatively higher temperature period, with an average of 17 % cooling energy savings. The North-oriented green wall was observed to be the most effective in increasing heating energy efficiency, while the East-oriented wall was observed to be greatest in cooling energy savings. A higher LAI value proved to be beneficial in improving both heating and cooling energy performance for the studied building.
Sinchita Poddar; Dong Yoon Park; Seongju Chang. Energy performance analysis of a dormitory building based on different orientations and seasonal variations of leaf area index. Energy Efficiency 2016, 10, 887 -903.
AMA StyleSinchita Poddar, Dong Yoon Park, Seongju Chang. Energy performance analysis of a dormitory building based on different orientations and seasonal variations of leaf area index. Energy Efficiency. 2016; 10 (4):887-903.
Chicago/Turabian StyleSinchita Poddar; Dong Yoon Park; Seongju Chang. 2016. "Energy performance analysis of a dormitory building based on different orientations and seasonal variations of leaf area index." Energy Efficiency 10, no. 4: 887-903.
Nah-Oak Song; Dongjun Suh; Dan Keun Sung; Seongju Chang. Apartment to grid (A2G) paradigm for demand and cost sensitive residential complex energy management. Energy and Buildings 2015, 107, 191 -203.
AMA StyleNah-Oak Song, Dongjun Suh, Dan Keun Sung, Seongju Chang. Apartment to grid (A2G) paradigm for demand and cost sensitive residential complex energy management. Energy and Buildings. 2015; 107 ():191-203.
Chicago/Turabian StyleNah-Oak Song; Dongjun Suh; Dan Keun Sung; Seongju Chang. 2015. "Apartment to grid (A2G) paradigm for demand and cost sensitive residential complex energy management." Energy and Buildings 107, no. : 191-203.
In this research, a smart mechanism to automatically configure the relative locations of clustered intelligent nodes arranged in a grid pattern is introduced. If an intelligent node knows the relative location of more than one neighboring node, its location can be recognized. By studying the feature of the grid structure and the short-range infrared signal communication method between the adjacent nodes, the location of an intelligent node and the location map construction of the whole system are configured automatically at each node. The algorithms in this study are tested by a cross-module image or video display task with modularized and reconfigurable digital surface, a modular Cyber-Physical System platform which has stacked ‘smart modules’ each of which has smart sensing and multimedia node with infra-red transceivers at four corners. Exemplary applications demonstrate the feasibility of the system in its scalability and practicality as well as performance by being applied to various spatially reconfigurable multimedia platforms.
Dongjun Suh; Kil Jeon; Seongju Chang; Jungdae Kim; Jinsul Kim. Auto-localized multimedia platform based on a modular Cyber Physical System aligned in a two-dimensional grid. Cluster Computing 2015, 18, 1449 -1464.
AMA StyleDongjun Suh, Kil Jeon, Seongju Chang, Jungdae Kim, Jinsul Kim. Auto-localized multimedia platform based on a modular Cyber Physical System aligned in a two-dimensional grid. Cluster Computing. 2015; 18 (4):1449-1464.
Chicago/Turabian StyleDongjun Suh; Kil Jeon; Seongju Chang; Jungdae Kim; Jinsul Kim. 2015. "Auto-localized multimedia platform based on a modular Cyber Physical System aligned in a two-dimensional grid." Cluster Computing 18, no. 4: 1449-1464.
Numerical Analysis on the Coupled Operation of Ventilation Window System and Central Cooling System Ventilation window system;Cooling system;Thermal comfort;Indoor air quality;Computational fluid dynamics (CFD); This study evaluated indoor environmental characteristics in an office room equipped both with ventilation window system and central cooling system. Fresh air is supplied only by the central cooling system whereas indoor air is discharged outside through both ceiling diffuser and a ventilation window system. Numerical study is conducted by changing the volumetric flow rates of exhaust ports of each system. For estimating the performance of this coupled system, $CO_2$ concentration and Predicted Mean Vote (PMV) were calculated using Computational Fluid Dynamics (CFD) simulation. The more the ceiling diffuser exhausts indoor air, the more the $CO_2$ concentration decreases. However, when the ventilation window system exhausts more indoor air, thermal comfort level gets improved in the office room with cooling system. Therefore, when the ventilation window system is operated, the coupled operation with central cooling system should be considered for enhancing indoor air quality and thermal comfort, together.
Dong Yoon Park; Seongju Chang. Numerical Analysis on the Coupled Operation of Ventilation Window System and Central Cooling System. Journal of Korean Society for Atmospheric Environment 2015, 31, 385 -395.
AMA StyleDong Yoon Park, Seongju Chang. Numerical Analysis on the Coupled Operation of Ventilation Window System and Central Cooling System. Journal of Korean Society for Atmospheric Environment. 2015; 31 (4):385-395.
Chicago/Turabian StyleDong Yoon Park; Seongju Chang. 2015. "Numerical Analysis on the Coupled Operation of Ventilation Window System and Central Cooling System." Journal of Korean Society for Atmospheric Environment 31, no. 4: 385-395.
Sungil Ham; Seongju Chang; Dongjun Suh; Amartuvshin Narangerel. Exploratory Methodology for Acquiring Architectural Plans Based on Spatial Graph Similarity. Architectural research 2015, 17, 57 -64.
AMA StyleSungil Ham, Seongju Chang, Dongjun Suh, Amartuvshin Narangerel. Exploratory Methodology for Acquiring Architectural Plans Based on Spatial Graph Similarity. Architectural research. 2015; 17 (2):57-64.
Chicago/Turabian StyleSungil Ham; Seongju Chang; Dongjun Suh; Amartuvshin Narangerel. 2015. "Exploratory Methodology for Acquiring Architectural Plans Based on Spatial Graph Similarity." Architectural research 17, no. 2: 57-64.
This research presents an evaluative energy model for estimating the energy efficiency of the design choices of architects and engineers in the early design phase. We analyze the effects of various parameters with different characteristics in various combinations for building energy consumption. With this analysis, we build a database that identifies a set of heuristic rules for energy-efficient building design to facilitate the design of sustainable apartment housing. Perturbation studies are based on a sensitivity analysis used to identify the thermal influence of the input design parameters on various simulation outputs and compare the results to a reference case. Energy sensitivity weight factors are obtained from an extensive sensitivity study using building energy simulations. The results of the energy sensitivity study summarized in a set of heuristic rules for evaluating architectural features are estimated through case studies of Korean apartment buildings. This study offers valuable guidelines for developing energy-efficient residential housing in Korea and will help architects in considering appropriate design schemes and provide a ready reference to generalized test cases for both architects and engineers so that they can zero in on a set of effective design solutions.
Dongjun Suh; Seongju Chang. A Heuristic Rule-Based Passive Design Decision Model for Reducing Heating Energy Consumption of Korean Apartment Buildings. Energies 2014, 7, 6897 -6929.
AMA StyleDongjun Suh, Seongju Chang. A Heuristic Rule-Based Passive Design Decision Model for Reducing Heating Energy Consumption of Korean Apartment Buildings. Energies. 2014; 7 (11):6897-6929.
Chicago/Turabian StyleDongjun Suh; Seongju Chang. 2014. "A Heuristic Rule-Based Passive Design Decision Model for Reducing Heating Energy Consumption of Korean Apartment Buildings." Energies 7, no. 11: 6897-6929.
This paper explores the possibility of enhancing consensus achievement of decentralized sensors by establishing cooperative behavior between sensor agents. To these ends, a novel particle swarm optimization framework to achieve robust consensus of decentralized sensors is devised to distribute sensing information via local fusing with neighbors rather than through centralized control; the new framework showed a 16.5 percent improvement in consensus achievement as compared to the classic majority rule method. Noteworthy enhancements in consensus achievement are also pertinent to the comparable situation of decentralized sensor systems.
Hyunseok Kim; Seongju Chang; Jinsul Kim. Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm. International Journal of Distributed Sensor Networks 2014, 10, 1 .
AMA StyleHyunseok Kim, Seongju Chang, Jinsul Kim. Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm. International Journal of Distributed Sensor Networks. 2014; 10 (4):1.
Chicago/Turabian StyleHyunseok Kim; Seongju Chang; Jinsul Kim. 2014. "Consensus Achievement of Decentralized Sensors Using Adapted Particle Swarm Optimization Algorithm." International Journal of Distributed Sensor Networks 10, no. 4: 1.
We propose an improvement of particle swarm optimization (PSO) based on the stabilization of particle movement (PM). PSO uses a stochastic variable to avoid an unfortunate state in which every particle quickly settles into a unanimous, unchanging direction, which leads to overshoot around the optimum position, resulting in a slow convergence. This study shows that randomly located particles may converge at a fast speed and lower overshoot by using the proportional-integralderivative approach, which is a widely used feedback control mechanism. A benchmark consisting of representative training datasets in the domains of function approximations and pattern recognitions is used to evaluate the performance of the proposed PSO. The final outcome confirms the improved performance of the PSO through facilitating the stabilization of PM.
Hyunseok Kim; Seongju Chang; Tae‐Gyu Kang. Enhancement of Particle Swarm Optimization by Stabilizing Particle Movement. ETRI Journal 2013, 35, 1168 -1171.
AMA StyleHyunseok Kim, Seongju Chang, Tae‐Gyu Kang. Enhancement of Particle Swarm Optimization by Stabilizing Particle Movement. ETRI Journal. 2013; 35 (6):1168-1171.
Chicago/Turabian StyleHyunseok Kim; Seongju Chang; Tae‐Gyu Kang. 2013. "Enhancement of Particle Swarm Optimization by Stabilizing Particle Movement." ETRI Journal 35, no. 6: 1168-1171.
Dong Yoon Park; Seong-Teak Jang; Seong-Ju Chang. Numerical Study on the Thermal Environment of a Natural Light Based Multi-layered Plant Factory. Journal of the Korea Institute of Ecological Architecture and Environment 2013, 13, 43 -50.
AMA StyleDong Yoon Park, Seong-Teak Jang, Seong-Ju Chang. Numerical Study on the Thermal Environment of a Natural Light Based Multi-layered Plant Factory. Journal of the Korea Institute of Ecological Architecture and Environment. 2013; 13 (5):43-50.
Chicago/Turabian StyleDong Yoon Park; Seong-Teak Jang; Seong-Ju Chang. 2013. "Numerical Study on the Thermal Environment of a Natural Light Based Multi-layered Plant Factory." Journal of the Korea Institute of Ecological Architecture and Environment 13, no. 5: 43-50.
This study analyses the performance characteristics of combined variable ceiling and floor-based air distribution systems in an office room using a numerical method to optimize the level of thermal comfort and indoor air quality. To validate the computational fluid dynamics simulations, temperature, air velocity and CO2 concentration were measured and compared. The simulation results of various combinations of ceiling and floor-based air distribution systems show that the exhaust should be located above the occupant and the window in summer; due to the large thermal plume as heat sources that could be generated by the window and the occupant. Whereas in winter, the supply should be located on the ceiling far from the window and the exhaust should be positioned on the floor near the occupant; as the downward airflow around the cold window surface would become more dominant when compared to the upward airflow associated with any other heat sources. The results have indicated that having both ceiling and floor-based air conditioning systems would allow the flexibility to change supply and exhaust air diffuser locations to optimize thermal and ventilation performance more efficiently in countries that are subject to distinct seasonal changes.
Dong Yoon Park; Seongju Chang. Numerical analysis to determine the performance of combined variable ceiling and floor-based air distribution systems in an office room. Indoor and Built Environment 2013, 23, 971 -987.
AMA StyleDong Yoon Park, Seongju Chang. Numerical analysis to determine the performance of combined variable ceiling and floor-based air distribution systems in an office room. Indoor and Built Environment. 2013; 23 (7):971-987.
Chicago/Turabian StyleDong Yoon Park; Seongju Chang. 2013. "Numerical analysis to determine the performance of combined variable ceiling and floor-based air distribution systems in an office room." Indoor and Built Environment 23, no. 7: 971-987.
Context-awareness is associated with the concept of machines being able to both recognize and react to the surrounding environment, which has accelerated multimedia computing technology to provide user-oriented intelligent services. The goal of this research focuses on the modeling of video quality measurement in seamless video service delivery process considering the mobility patterns of users. Mobility supporting schemes providing seamless multimedia services are classified into host mobility and user mobility. The former refers to a host-level handoff while the latter indicates a user-level handoff. In host-level handoff, the decisive factors affecting the quality of video contents consumption are the total distance between hosts, the distance to resume streaming while the user is in mobility mode as well as the screen size of the end host. The influential parameters affecting the degree of video quality and seamlessness are evaluated by a subjective quality assessment and then a perceived video quality model was developed, accordingly. In addition, the optimal video delivery switching point to enable user mobility based video service is studied through the quality analysis of host mobility services at varying distances among the hosts. Experimental results show that the proposed quality model has high correlation with assessed quality and is useful to enable an adequate seamless mobility for multimedia service delivery.
Dongjun Suh; Jinsul Kim; Seongju Chang. Perceived Quality Measurement Model Supporting Full Session Mobility in Multimedia Service Delivery. Wireless Personal Communications 2013, 73, 233 -242.
AMA StyleDongjun Suh, Jinsul Kim, Seongju Chang. Perceived Quality Measurement Model Supporting Full Session Mobility in Multimedia Service Delivery. Wireless Personal Communications. 2013; 73 (2):233-242.
Chicago/Turabian StyleDongjun Suh; Jinsul Kim; Seongju Chang. 2013. "Perceived Quality Measurement Model Supporting Full Session Mobility in Multimedia Service Delivery." Wireless Personal Communications 73, no. 2: 233-242.
A touch floor system, based on force sensitive resistors, capable of identifying user position and motion with high resolution, is proposed in this paper. A particle swarm optimization-based neural network (NN), initialized with the output of a Levenberg-Marquardt-based NN, allows inaccuracy drawbacks of the trilateration method in position estimation due to sensor's nonlinearity to be reduced to one fifth under non-stationary conditions. Furthermore, position-tracking accuracy is improved by a Kalman filter and a motion recognition algorithm is suggested for mimicking computer mouse clicks. Experimental results show non-uniformly sized icons displayed with high-resolution coordinates can be selected on the floor by the participants of diversified weights. This proves the feasibility of a high-resolution touch floor interface scalable for large area, by facilitating digitally mediated human-architecture interactions.
Hyunseok Kim; Seongju Chang. High-Resolution Touch Floor System Using Particle Swarm Optimization Neural Network. IEEE Sensors Journal 2013, 13, 2084 -2093.
AMA StyleHyunseok Kim, Seongju Chang. High-Resolution Touch Floor System Using Particle Swarm Optimization Neural Network. IEEE Sensors Journal. 2013; 13 (6):2084-2093.
Chicago/Turabian StyleHyunseok Kim; Seongju Chang. 2013. "High-Resolution Touch Floor System Using Particle Swarm Optimization Neural Network." IEEE Sensors Journal 13, no. 6: 2084-2093.
Context-awareness has empowered advanced multimedia computing technology to provide user-oriented services and environment. This research aims at achieving a seamless video delivery service concentrating on the user’s mobility patterns during a multimedia streaming service session. Mobility supporting technology providing seamless services are categorized into host mobility and user mobility. The former corresponds to host-level handoff while the latter refers to user-level handoff. In host-level handoff, the influential parameters affecting the quality of video consumption are the total distance between the hosts, the distance for streaming to resume while user is in mobility mode and the screen size of the end host. The interdependency amongst the parameters is evaluated by a user subjective assessment and a befitting video quality model is developed, accordingly. Additionally, the optimal video delivery switching point to enable user mobility based video service is studied based on a quality analysis of host mobility services at varying distances among hosts. This quality model supporting a complete mobilization has a high correlation with the assessed quality and enables an adequate seamless mobility for multimedia service delivery.
Dongjun Suh; Jinsul Kim; Seongju Chang. Perceived Quality Model for Supporting Full Session Mobility in Multimedia Service Delivery Process. Lecture Notes in Electrical Engineering 2012, 215, 897 -904.
AMA StyleDongjun Suh, Jinsul Kim, Seongju Chang. Perceived Quality Model for Supporting Full Session Mobility in Multimedia Service Delivery Process. Lecture Notes in Electrical Engineering. 2012; 215 ():897-904.
Chicago/Turabian StyleDongjun Suh; Jinsul Kim; Seongju Chang. 2012. "Perceived Quality Model for Supporting Full Session Mobility in Multimedia Service Delivery Process." Lecture Notes in Electrical Engineering 215, no. : 897-904.
This paper proposes and develops a residential energy and resource consumption estimation model in the context of multi-family residential housing in Korea using a multi-layer perceptron (MLP) neural network. Eight indicators are introduced which affect the energy and water resource usage characteristics of Korean residential complexes. The proposed model precisely estimated the electricity, gas energy and water consumption for each examined residential complex. In terms of validation, the results showed the highest level of agreement with actually collected datasets. The model shows promising prospects in providing necessary estimations, not only for optimally scaling and sizing energy- and water-related infrastructures, but also to promote reliable energy and resource savings through greenhouse gas (GHG) reduction planning in multi-family housing complexes. The model could also be of use in framing guidelines for the better planning of national or regional energy and resource policies and for forming a foundation of decision-making with definite references regarding the facility management of each apartment complex to enhance the energy and resource use efficiency at these locations.
Dongjun Suh; Seongju Chang. An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea. Energies 2012, 5, 4497 -4516.
AMA StyleDongjun Suh, Seongju Chang. An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea. Energies. 2012; 5 (11):4497-4516.
Chicago/Turabian StyleDongjun Suh; Seongju Chang. 2012. "An Energy and Water Resource Demand Estimation Model for Multi-Family Housing Complexes in Korea." Energies 5, no. 11: 4497-4516.
Smart Architectural Surface is a novel and highly integrated planar construct for diversified smart home services with networked smart cell units equipped with various sensing, cognition and actuation capabilities that would allow run-time polymorphism as the basis for functional changes for various event-driven operation scenarios. The SAS system can demonstrate the outcomes of collective intelligence that are mediated by various multi-modal interactions. Current SAS prototype is capable of polymorphous functional changes for dynamically adjustable electronic wallpaper, location/distance-aware video conferencing, personalized information browser, and automatic responses to various unintended events. Future applications would harness machine learning and machine vision techniques and will explore the advantages of having computational ecology of its digital modular units constituting smart wall system for multi-modal and multi-functional interactions.
Seongju Chang; Jaedo Chung; Kiwon Seo; Dongjun Suh. Modularized multimedia framework for multi-modal and multi-functional interactions. Multimedia Tools and Applications 2010, 56, 331 -349.
AMA StyleSeongju Chang, Jaedo Chung, Kiwon Seo, Dongjun Suh. Modularized multimedia framework for multi-modal and multi-functional interactions. Multimedia Tools and Applications. 2010; 56 (2):331-349.
Chicago/Turabian StyleSeongju Chang; Jaedo Chung; Kiwon Seo; Dongjun Suh. 2010. "Modularized multimedia framework for multi-modal and multi-functional interactions." Multimedia Tools and Applications 56, no. 2: 331-349.