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Việt Nguyễn

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Kati (Katalin) Prajda

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Viacheslav Kuleshov

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Papers by Việt Nguyễn

The Impact of Corporate Social Responsibility, Green Supply Chain Management on The Performance of Small and Medium Enterprises in Vietnam: A Systematic Literature Review and Directions for Future Research

International Journal of Research and Review

The topics of green supply chain management (GSCM) and corporate social responsibility (CSR) have... more The topics of green supply chain management (GSCM) and corporate social responsibility (CSR) have attracted many research works as the sustainable economic model is growing. Most of the previous research on CSR and GSCM has focused on large enterprises and corporations. However, there are very few studies in Vietnam written about CSR and GSCM applications and their impact on firm performance, especially in small and medium-sized enterprises (SMEs). Therefore, this study was carried out to analyze the impact of CSR on firm performance of SMEs in Vietnam with the intermediaries of GSCM. The study was conducted using qualitative research methods, from previously related studies and based on the theory of CSR, GSCM, firm performance, and stakeholder theory. On that basis, the study points to research gaps that could be carried out in the future. Keywords: Corporate social responsibility, Green supply chain management, Firm performance, SMEs.

Domain Specific Language Approach on Model-driven Development of Web Services

Acta Polytechnica Hungarica

As modern distributed and cloud architecture keep gaining their popularity, web services have bec... more As modern distributed and cloud architecture keep gaining their popularity, web services have become the programmatic backbones of more and more systems. Developing web services requires gathering information from different aspects. Model-driven engineering promises to ease the burden of development and promote reuse of web services by focusing more on a higher level of abstraction. Current approach of modeling web services using UML is not well-suited since UML is created for multiple disciplines and is not specific for web service development. With current growing scale of distributed systems, the challenge is not only in development but also integration and maintenance of web services. Introducing a domain specific language (DSL) for modeling of web services promises to become a novel approach and could be the solution to the current problem with web service modeling and development. This article outlines the analysis as well as the current state of the problem domain and introduces an approach to model-driven development of web services by implementing a domain specific language called SWSM (Simple Web Service Modeling). This approach aims to solve problems that UML could not effectively resolve and promote efficiency with a non-complex language facility for modeling and code generation of web services. Our best practices and observation during the design of SWSM are also presented.

Total Variation Reconstruction For Compressive Sensing Using Nonlocal Lagrangian Multiplier

Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014

A Novel Method to Determine Blower Capacity of Wastewater Treatment Plants for Dry and Wet Weather Conditions

Journal of Water and Environment Technology, 2021

Ascertaining peak oxygen demand is crucial for plant designers to determine blower capacities of ... more Ascertaining peak oxygen demand is crucial for plant designers to determine blower capacities of wastewater treatment plants in planning phase. To obtain this technical information without cumbersome influent sampling and analysis, a set of field-test activated sludge reactors equipped with DO and nitrate-N sensors was installed at 3 sites and continuously operated for a couple of months in each field. Under the controlled aeration and hydraulics of the reactors, the hourly influent oxygen demands were back-calculated as biodegradable constituents using the IWA-Activated Sludge Model #1. The daily maximum concentrations (rounded to last for 1-hour) of biodegradable organics and nitrogen were ranged between 45~258 mg-COD/L and 10.4~32.3 mg-N/L in Site #1; 119~244 mg-COD/L and 28.3~38.7 mg-N/L in Site #2; 194~552 mg-COD/L and 30.2~51.7 mg-N/L in Site #3 respectively. The marginal blower capacities to maintain at least 1.0 mg-O 2 /L of DO in the daily maximum oxygen demand were estimated based on the datasets using the statistical method, Extreme Value Distribution analysis. To maintain the DO concentration for 99 days out of 100 days of the plant operations, the blower capacity was supposed to be designed as high as 1.4~2.2 times than those of the blower calculated from the daily average concentration.

Water-reuse concepts for industrial parks in water-stressed regions in South East Asia

Water Supply, 2019

With regard to the water shortage in several regions of South East Asia, the paper focuses on the... more With regard to the water shortage in several regions of South East Asia, the paper focuses on the development of a sustainable Industrial WasteWater Management Concept with the focus on Reuse (brand name: IW2MC → R) to reduce water consumption from natural resources. The IW2MC → R includes the sustainable treatment of wastewater in industrial parks (IP) to provide reuse water for different purposes. The main objective is to reach the highest possible Industrial Park Reuse Factor (IPRF). The IPRF describes the relation between wastewater inflow to the central wastewater treatment plant and the outflow of reuse water for different applications. The Infrastructure Reuse Factor (IRF), one component of the IPRF, relates to infrastructural reuse applications (e.g. irrigation, street cleaning, toilet flushing). To determine the IRF, a model industrial park is applied. A first calculation resulting in an IRF of ∼25% includes reuse applications for irrigating green spaces, street cleaning, a...

Primary education in Vietnam and pupil online engagement

International Journal of Educational Management, 2018

Purpose The purpose of this paper is to explore the disparities in social awareness and use of th... more Purpose The purpose of this paper is to explore the disparities in social awareness and use of the internet between urban and rural school children in the North of Vietnam. Design/methodology/approach A total of 525 pupils, aged 9-11 years old, randomly selected from seven urban and rural schools, who are internet users, participated in the study and consented to responding to a questionnaire adapted from an equivalent European Union study. A comparative statistical analysis of the responses was then carried out, using IBM SPSS v21, which consisted of a descriptive analysis, an identification of personal self-development opportunities, as well as issues related to pupils’ digital prowess and knowledge of internet use and internet safety, including parental engagement in their offspring’s online activities. Findings The study highlights the fact that children from both the urban and rural regions of the North of Vietnam mostly access the internet from home, but with more children in ...

Measurement Coding for Compressive Sensing of Color Images

IEIE Transactions on Smart Processing and Computing, 2014

From the perspective of reducing the sampling cost of color images at high resolution, block-base... more From the perspective of reducing the sampling cost of color images at high resolution, block-based compressive sensing (CS) has attracted considerable attention as a promising alternative to conventional Nyquist/Shannon sampling. On the other hand, for storing/transmitting applications, CS requires a very efficient way of representing the measurement data in terms of data volume. This paper addresses this problem by developing a measurement-coding method with the proposed customized Huffman coding. In addition, by noting the difference in visual importance between the luma and chroma channels, this paper proposes measurement coding in YCbCr space rather than in conventional RGB color space for better rate allocation. Furthermore, as the proper use of the image property in pursuing smoothness improves the CS recovery, this paper proposes the integration of a low pass filter to the CS recovery of color images, which is the block-based 20-norm minimization. The proposed coding scheme shows considerable gain compared to conventional measurement coding.

Supervised Discriminative Hashing for Compact Binary Codes

Proceedings of the 22nd ACM international conference on Multimedia, 2014

Binary hashing has been increasingly popular for efficient similarity search in large-scale visio... more Binary hashing has been increasingly popular for efficient similarity search in large-scale vision problems. This paper presents a novel Supervised Discriminative Hashing (SDH) method by jointly modeling the global and local manifold structures. Specifically, a family of discriminative hash functions is designed to map data points of the original highdimensional space into nearby compact binary codes while preserving the geometrical similarity and discriminant properties in both global and local neighborhoods. Furthermore, the quantization loss between the original data and the binary codes together with the even binary code distribution are also taken into account in the optimization to generate more efficient and compact binary codes. Experimental results have demonstrated the proposed method outperforms the state-of-the-art.

Teleimmersive Audio-Visual Communication Using Commodity Hardware [Applications Corner]

IEEE Signal Processing Magazine, 2014

Teleimmersive Audio-Visual Communication Using Commodity Hardware N atural human communication in... more Teleimmersive Audio-Visual Communication Using Commodity Hardware N atural human communication involves complex visual and audio behavior, and often context and joint interaction with the surrounding environment, to create a rich and satisfying experience. However, widely used virtual meeting systems such as WebEx and Skype still provide rather limited functionalities and hardly maintain the experience of an in-person meeting. In particular, traditional systems lack a sense of colocation and interaction as in a face-to-face meeting due to the separate displays of remote participants and poor integration with the shared collaborative contents. As a result, teleimmersive (TI) systems that aim to provide natural user experiences and interaction have attracted increasing research interest [1]. High-end telepresence products such as Cisco TelePresence or HP's Halo were expressly designed to create the perception of meeting in the same physical space. But to achieve such an experience, these systems require a proprietary installation and high setup costs. Recently, some three-dimensional (3-D) TI systems have been developed to enhance remote collaboration by merging remote participants into the same 3-D virtual space [2]-[4]. However, these systems still fall short of simulating a face-to-face collaboration with the presence of shared contents. Also, the required bulky and expensive hardware with nontrivial calibration and setup hinders their wide adoption. With the wide availability of low-cost, commodity computing devices with embedded video cameras, microphones,

Weighted mode filtering and its applications to depth video enhancement and coding

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

This paper presents a novel approach for improving the quality of depth video. Given a high-quali... more This paper presents a novel approach for improving the quality of depth video. Given a high-quality color image and its corresponding low-quality depth image, we handle various artifacts which may exist on the depth video by applying a weighted mode filtering method based on a joint histogram. When the histogram is generated, the weight based on color similarity between reference and neighboring pixels on the color image is computed and then used for counting each bin on the joint histogram of the depth map. A final solution is determined by seeking a global mode on the histogram. Experimental results show that the proposed method has outstanding performance and is very efficient in various applications such as depth video enhancement and compression.

Combining Replicates and Nearby Species Data: A Bayesian Approach

Lecture Notes in Computer Science, 2010

Enhance total transmission in stacking meta material and positive index material

2008 IEEE PhotonicsGlobal@Singapore, 2008

Abstract Meta material has been demonstrated and applied in fabricating novel structures such as ... more

Giant and Tunable Mechanical Impulse of Energetic Nanocrystalline Porous Silicon

Journal of Propulsion and Power, 2015

A Combinatorial Auction Framework for Solving Decentralized Scheduling Problems (Extended Abstract)

Lecture Notes in Computer Science

Computing an optimal solution to an integer program for a realistic scheduling problem can often ... more Computing an optimal solution to an integer program for a realistic scheduling problem can often be very time consuming. As a result, ad-hoc and hand-crafted heuristics have become popular alternatives. These methods, however, suffer from the inability to guarantee good or optimal solutions. Our objective in this work is to leverage on prior theoretical results from the OR literature and agent technology from the AI literature to derive a computational framework that can be easily implemented for solving decentralized scheduling problems. In decentralization, there is an issue that information and control are inherently private to individual agents, even though a solution has to be jointly derived. In this paper, we are concerned about the following class of decentralized scheduling problems: 1 There is a central pool of limited resources that comprises multiple units of resources for each machine type; 1 There are multiple self-interested agents and each has to obtain resources from the central pool to solve its own scheduling problem (job shop, flow shop, etc).

Recovery Algorithm for Compressive Image Sensing with Adaptive Hard Thresholding

Lecture Notes in Electrical Engineering, 2013

Iterative hard thresholding (IHT) algorithm is one of the representative compressive sensing (CS)... more Iterative hard thresholding (IHT) algorithm is one of the representative compressive sensing (CS) reconstruction algorithms. For applying to images, however, it has a problem of lacking in addressing human visual system (HVS) characteristics—its hard thresholding process treats all of coefficients in transform domain equally. To overcome the problem, this paper addresses an adaptive hard thresholding method accounting for the HVS characteristics. For this purpose, a suitable threshold level is adaptively selected for each coefficient in transform domain by utilizing the standard weighting matrix table used in JPEG together with the threshold value which is estimated over the noisy version of image. Experimental results show that the performance of the block compressive sensing with smooth projected Landweber (BCS-SPL) with the proposed adaptive hard thresholding algorithm remarkably outperforms that of the conventional BCS-SPL algorithm.

The onset of type 2 diabetes: proposal for a multi-scale model

JMIR research protocols, Jan 31, 2013

Type 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, pa... more Type 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, particularly in developed countries where the population is aging, including Europe. The multi-scale immune system simulator for the onset of type 2 diabetes (MISSION-T2D) is a European Union-funded project that aims to develop and validate an integrated, multilevel, and patient-specific model, incorporating genetic, metabolic, and nutritional data for the simulation and prediction of metabolic and inflammatory processes in the onset and progression of T2D. The project will ultimately provide a tool for diagnosis and clinical decision making that can estimate the risk of developing T2D and predict its progression in response to possible therapies. Recent data showed that T2D and its complications, specifically in the heart, kidney, retina, and feet, should be considered a systemic disease that is sustained by a pervasive, metabolically-driven state of inflammation. Accordingly, there is an...

A Context - Aware Mobile Learning Adaptive System for Supporting Foreigner Learning English

2010 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010

Abstract This paper represents a personalized context-aware mobile learning architecture for supp... more

Transmission of helminth eggs through hands in a high-risk community

Transactions of the Royal Society of Tropical Medicine and Hygiene, 2014

The role that hands play in the transmission of Ascaris is not well understood. A newly developed... more The role that hands play in the transmission of Ascaris is not well understood. A newly developed method to quantify the presence helminth eggs on hands was tested among a group of farmers in Vietnam. High turbidity in hand rinse samples meant that the adopted sugar solution had to be replaced by zinc sulphate as a flotation solution. The survey found 34% (31/90) of study participant hands' were positive for helminth eggs, though concentrations were low and ranged from 0-10 eggs/2 hands. The use of fresh excreta in agriculture was the only variable that showed an association with the concentrations of eggs found on hands. The results highlight the need to promote handwashing with soap to prevent the transmission of soil-transmitted helminth infections.

Block-based compressive sensing of video using local sparsifying transform

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), 2014

Block-based compressive sensing is attractive for sensing natural images and video because it mak... more Block-based compressive sensing is attractive for sensing natural images and video because it makes large-sized image/video tractable. However, its reconstruction performance is yet to be improved much. This paper proposes a new block-based compressive video sensing recovery scheme which can reconstruct video sequences with high quality. It generates initial key frames by incorporating the augmented Lagrangian total variation with a nonlocal means filter which is well known for being good at preserving edges and reducing noise. Additionally, local principal component analysis (PCA) transform is employed to enhance the detailed information. The non-key frames are initially predicted by their measurements and reconstructed key frames. Furthermore, regularization with PCA transform-aided side information iteratively seeks better reconstructed solution. Simulation results manifest effectiveness of the proposed scheme.

Proceedings of the 20th ACM international conference on Multimedia, 2012

ABSTRACT This paper presents an Immersive Telepresence system for Entertainment and Meetings (ITE... more ABSTRACT This paper presents an Immersive Telepresence system for Entertainment and Meetings (ITEM). The system aims to provide a radically new video communication experience by seamlessly merging participants into the same virtual space to allow a natural interaction among them and shared collaborative contents. With the goal to make a scalable, flexible system for various business solutions as well as easily accessible by massive consumers, we address the challenges in the whole pipeline of media processing, communication, and displaying in our design and realization of such a system. Extensive experiments show the developed system runs reliably and comfortably in real time with a minimal setup requirement (e.g., a webcam, a laptop/desktop connected to the public Internet) for tele-immersive video communication. With such a really minimal deployment requirement, we present a variety of interesting applications and user experiences created by ITEM.

The Impact of Corporate Social Responsibility, Green Supply Chain Management on The Performance of Small and Medium Enterprises in Vietnam: A Systematic Literature Review and Directions for Future Research

International Journal of Research and Review

The topics of green supply chain management (GSCM) and corporate social responsibility (CSR) have... more The topics of green supply chain management (GSCM) and corporate social responsibility (CSR) have attracted many research works as the sustainable economic model is growing. Most of the previous research on CSR and GSCM has focused on large enterprises and corporations. However, there are very few studies in Vietnam written about CSR and GSCM applications and their impact on firm performance, especially in small and medium-sized enterprises (SMEs). Therefore, this study was carried out to analyze the impact of CSR on firm performance of SMEs in Vietnam with the intermediaries of GSCM. The study was conducted using qualitative research methods, from previously related studies and based on the theory of CSR, GSCM, firm performance, and stakeholder theory. On that basis, the study points to research gaps that could be carried out in the future. Keywords: Corporate social responsibility, Green supply chain management, Firm performance, SMEs.

Domain Specific Language Approach on Model-driven Development of Web Services

Acta Polytechnica Hungarica

As modern distributed and cloud architecture keep gaining their popularity, web services have bec... more As modern distributed and cloud architecture keep gaining their popularity, web services have become the programmatic backbones of more and more systems. Developing web services requires gathering information from different aspects. Model-driven engineering promises to ease the burden of development and promote reuse of web services by focusing more on a higher level of abstraction. Current approach of modeling web services using UML is not well-suited since UML is created for multiple disciplines and is not specific for web service development. With current growing scale of distributed systems, the challenge is not only in development but also integration and maintenance of web services. Introducing a domain specific language (DSL) for modeling of web services promises to become a novel approach and could be the solution to the current problem with web service modeling and development. This article outlines the analysis as well as the current state of the problem domain and introduces an approach to model-driven development of web services by implementing a domain specific language called SWSM (Simple Web Service Modeling). This approach aims to solve problems that UML could not effectively resolve and promote efficiency with a non-complex language facility for modeling and code generation of web services. Our best practices and observation during the design of SWSM are also presented.

Total Variation Reconstruction For Compressive Sensing Using Nonlocal Lagrangian Multiplier

Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014

A Novel Method to Determine Blower Capacity of Wastewater Treatment Plants for Dry and Wet Weather Conditions

Journal of Water and Environment Technology, 2021

Ascertaining peak oxygen demand is crucial for plant designers to determine blower capacities of ... more Ascertaining peak oxygen demand is crucial for plant designers to determine blower capacities of wastewater treatment plants in planning phase. To obtain this technical information without cumbersome influent sampling and analysis, a set of field-test activated sludge reactors equipped with DO and nitrate-N sensors was installed at 3 sites and continuously operated for a couple of months in each field. Under the controlled aeration and hydraulics of the reactors, the hourly influent oxygen demands were back-calculated as biodegradable constituents using the IWA-Activated Sludge Model #1. The daily maximum concentrations (rounded to last for 1-hour) of biodegradable organics and nitrogen were ranged between 45~258 mg-COD/L and 10.4~32.3 mg-N/L in Site #1; 119~244 mg-COD/L and 28.3~38.7 mg-N/L in Site #2; 194~552 mg-COD/L and 30.2~51.7 mg-N/L in Site #3 respectively. The marginal blower capacities to maintain at least 1.0 mg-O 2 /L of DO in the daily maximum oxygen demand were estimated based on the datasets using the statistical method, Extreme Value Distribution analysis. To maintain the DO concentration for 99 days out of 100 days of the plant operations, the blower capacity was supposed to be designed as high as 1.4~2.2 times than those of the blower calculated from the daily average concentration.

Water-reuse concepts for industrial parks in water-stressed regions in South East Asia

Water Supply, 2019

With regard to the water shortage in several regions of South East Asia, the paper focuses on the... more With regard to the water shortage in several regions of South East Asia, the paper focuses on the development of a sustainable Industrial WasteWater Management Concept with the focus on Reuse (brand name: IW2MC → R) to reduce water consumption from natural resources. The IW2MC → R includes the sustainable treatment of wastewater in industrial parks (IP) to provide reuse water for different purposes. The main objective is to reach the highest possible Industrial Park Reuse Factor (IPRF). The IPRF describes the relation between wastewater inflow to the central wastewater treatment plant and the outflow of reuse water for different applications. The Infrastructure Reuse Factor (IRF), one component of the IPRF, relates to infrastructural reuse applications (e.g. irrigation, street cleaning, toilet flushing). To determine the IRF, a model industrial park is applied. A first calculation resulting in an IRF of ∼25% includes reuse applications for irrigating green spaces, street cleaning, a...

Primary education in Vietnam and pupil online engagement

International Journal of Educational Management, 2018

Purpose The purpose of this paper is to explore the disparities in social awareness and use of th... more Purpose The purpose of this paper is to explore the disparities in social awareness and use of the internet between urban and rural school children in the North of Vietnam. Design/methodology/approach A total of 525 pupils, aged 9-11 years old, randomly selected from seven urban and rural schools, who are internet users, participated in the study and consented to responding to a questionnaire adapted from an equivalent European Union study. A comparative statistical analysis of the responses was then carried out, using IBM SPSS v21, which consisted of a descriptive analysis, an identification of personal self-development opportunities, as well as issues related to pupils’ digital prowess and knowledge of internet use and internet safety, including parental engagement in their offspring’s online activities. Findings The study highlights the fact that children from both the urban and rural regions of the North of Vietnam mostly access the internet from home, but with more children in ...

Measurement Coding for Compressive Sensing of Color Images

IEIE Transactions on Smart Processing and Computing, 2014

From the perspective of reducing the sampling cost of color images at high resolution, block-base... more From the perspective of reducing the sampling cost of color images at high resolution, block-based compressive sensing (CS) has attracted considerable attention as a promising alternative to conventional Nyquist/Shannon sampling. On the other hand, for storing/transmitting applications, CS requires a very efficient way of representing the measurement data in terms of data volume. This paper addresses this problem by developing a measurement-coding method with the proposed customized Huffman coding. In addition, by noting the difference in visual importance between the luma and chroma channels, this paper proposes measurement coding in YCbCr space rather than in conventional RGB color space for better rate allocation. Furthermore, as the proper use of the image property in pursuing smoothness improves the CS recovery, this paper proposes the integration of a low pass filter to the CS recovery of color images, which is the block-based 20-norm minimization. The proposed coding scheme shows considerable gain compared to conventional measurement coding.

Supervised Discriminative Hashing for Compact Binary Codes

Proceedings of the 22nd ACM international conference on Multimedia, 2014

Binary hashing has been increasingly popular for efficient similarity search in large-scale visio... more Binary hashing has been increasingly popular for efficient similarity search in large-scale vision problems. This paper presents a novel Supervised Discriminative Hashing (SDH) method by jointly modeling the global and local manifold structures. Specifically, a family of discriminative hash functions is designed to map data points of the original highdimensional space into nearby compact binary codes while preserving the geometrical similarity and discriminant properties in both global and local neighborhoods. Furthermore, the quantization loss between the original data and the binary codes together with the even binary code distribution are also taken into account in the optimization to generate more efficient and compact binary codes. Experimental results have demonstrated the proposed method outperforms the state-of-the-art.

Teleimmersive Audio-Visual Communication Using Commodity Hardware [Applications Corner]

IEEE Signal Processing Magazine, 2014

Teleimmersive Audio-Visual Communication Using Commodity Hardware N atural human communication in... more Teleimmersive Audio-Visual Communication Using Commodity Hardware N atural human communication involves complex visual and audio behavior, and often context and joint interaction with the surrounding environment, to create a rich and satisfying experience. However, widely used virtual meeting systems such as WebEx and Skype still provide rather limited functionalities and hardly maintain the experience of an in-person meeting. In particular, traditional systems lack a sense of colocation and interaction as in a face-to-face meeting due to the separate displays of remote participants and poor integration with the shared collaborative contents. As a result, teleimmersive (TI) systems that aim to provide natural user experiences and interaction have attracted increasing research interest [1]. High-end telepresence products such as Cisco TelePresence or HP's Halo were expressly designed to create the perception of meeting in the same physical space. But to achieve such an experience, these systems require a proprietary installation and high setup costs. Recently, some three-dimensional (3-D) TI systems have been developed to enhance remote collaboration by merging remote participants into the same 3-D virtual space [2]-[4]. However, these systems still fall short of simulating a face-to-face collaboration with the presence of shared contents. Also, the required bulky and expensive hardware with nontrivial calibration and setup hinders their wide adoption. With the wide availability of low-cost, commodity computing devices with embedded video cameras, microphones,

Weighted mode filtering and its applications to depth video enhancement and coding

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012

This paper presents a novel approach for improving the quality of depth video. Given a high-quali... more This paper presents a novel approach for improving the quality of depth video. Given a high-quality color image and its corresponding low-quality depth image, we handle various artifacts which may exist on the depth video by applying a weighted mode filtering method based on a joint histogram. When the histogram is generated, the weight based on color similarity between reference and neighboring pixels on the color image is computed and then used for counting each bin on the joint histogram of the depth map. A final solution is determined by seeking a global mode on the histogram. Experimental results show that the proposed method has outstanding performance and is very efficient in various applications such as depth video enhancement and compression.

Combining Replicates and Nearby Species Data: A Bayesian Approach

Lecture Notes in Computer Science, 2010

Enhance total transmission in stacking meta material and positive index material

2008 IEEE PhotonicsGlobal@Singapore, 2008

Abstract Meta material has been demonstrated and applied in fabricating novel structures such as ... more

Giant and Tunable Mechanical Impulse of Energetic Nanocrystalline Porous Silicon

Journal of Propulsion and Power, 2015

A Combinatorial Auction Framework for Solving Decentralized Scheduling Problems (Extended Abstract)

Lecture Notes in Computer Science

Computing an optimal solution to an integer program for a realistic scheduling problem can often ... more Computing an optimal solution to an integer program for a realistic scheduling problem can often be very time consuming. As a result, ad-hoc and hand-crafted heuristics have become popular alternatives. These methods, however, suffer from the inability to guarantee good or optimal solutions. Our objective in this work is to leverage on prior theoretical results from the OR literature and agent technology from the AI literature to derive a computational framework that can be easily implemented for solving decentralized scheduling problems. In decentralization, there is an issue that information and control are inherently private to individual agents, even though a solution has to be jointly derived. In this paper, we are concerned about the following class of decentralized scheduling problems: 1 There is a central pool of limited resources that comprises multiple units of resources for each machine type; 1 There are multiple self-interested agents and each has to obtain resources from the central pool to solve its own scheduling problem (job shop, flow shop, etc).

Recovery Algorithm for Compressive Image Sensing with Adaptive Hard Thresholding

Lecture Notes in Electrical Engineering, 2013

Iterative hard thresholding (IHT) algorithm is one of the representative compressive sensing (CS)... more Iterative hard thresholding (IHT) algorithm is one of the representative compressive sensing (CS) reconstruction algorithms. For applying to images, however, it has a problem of lacking in addressing human visual system (HVS) characteristics—its hard thresholding process treats all of coefficients in transform domain equally. To overcome the problem, this paper addresses an adaptive hard thresholding method accounting for the HVS characteristics. For this purpose, a suitable threshold level is adaptively selected for each coefficient in transform domain by utilizing the standard weighting matrix table used in JPEG together with the threshold value which is estimated over the noisy version of image. Experimental results show that the performance of the block compressive sensing with smooth projected Landweber (BCS-SPL) with the proposed adaptive hard thresholding algorithm remarkably outperforms that of the conventional BCS-SPL algorithm.

The onset of type 2 diabetes: proposal for a multi-scale model

JMIR research protocols, Jan 31, 2013

Type 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, pa... more Type 2 diabetes mellitus (T2D) is a common age-related disease, and is a major health concern, particularly in developed countries where the population is aging, including Europe. The multi-scale immune system simulator for the onset of type 2 diabetes (MISSION-T2D) is a European Union-funded project that aims to develop and validate an integrated, multilevel, and patient-specific model, incorporating genetic, metabolic, and nutritional data for the simulation and prediction of metabolic and inflammatory processes in the onset and progression of T2D. The project will ultimately provide a tool for diagnosis and clinical decision making that can estimate the risk of developing T2D and predict its progression in response to possible therapies. Recent data showed that T2D and its complications, specifically in the heart, kidney, retina, and feet, should be considered a systemic disease that is sustained by a pervasive, metabolically-driven state of inflammation. Accordingly, there is an...

A Context - Aware Mobile Learning Adaptive System for Supporting Foreigner Learning English

2010 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2010

Abstract This paper represents a personalized context-aware mobile learning architecture for supp... more

Transmission of helminth eggs through hands in a high-risk community

Transactions of the Royal Society of Tropical Medicine and Hygiene, 2014

The role that hands play in the transmission of Ascaris is not well understood. A newly developed... more The role that hands play in the transmission of Ascaris is not well understood. A newly developed method to quantify the presence helminth eggs on hands was tested among a group of farmers in Vietnam. High turbidity in hand rinse samples meant that the adopted sugar solution had to be replaced by zinc sulphate as a flotation solution. The survey found 34% (31/90) of study participant hands' were positive for helminth eggs, though concentrations were low and ranged from 0-10 eggs/2 hands. The use of fresh excreta in agriculture was the only variable that showed an association with the concentrations of eggs found on hands. The results highlight the need to promote handwashing with soap to prevent the transmission of soil-transmitted helminth infections.

Block-based compressive sensing of video using local sparsifying transform

2014 IEEE 16th International Workshop on Multimedia Signal Processing (MMSP), 2014

Block-based compressive sensing is attractive for sensing natural images and video because it mak... more Block-based compressive sensing is attractive for sensing natural images and video because it makes large-sized image/video tractable. However, its reconstruction performance is yet to be improved much. This paper proposes a new block-based compressive video sensing recovery scheme which can reconstruct video sequences with high quality. It generates initial key frames by incorporating the augmented Lagrangian total variation with a nonlocal means filter which is well known for being good at preserving edges and reducing noise. Additionally, local principal component analysis (PCA) transform is employed to enhance the detailed information. The non-key frames are initially predicted by their measurements and reconstructed key frames. Furthermore, regularization with PCA transform-aided side information iteratively seeks better reconstructed solution. Simulation results manifest effectiveness of the proposed scheme.

Proceedings of the 20th ACM international conference on Multimedia, 2012

ABSTRACT This paper presents an Immersive Telepresence system for Entertainment and Meetings (ITE... more ABSTRACT This paper presents an Immersive Telepresence system for Entertainment and Meetings (ITEM). The system aims to provide a radically new video communication experience by seamlessly merging participants into the same virtual space to allow a natural interaction among them and shared collaborative contents. With the goal to make a scalable, flexible system for various business solutions as well as easily accessible by massive consumers, we address the challenges in the whole pipeline of media processing, communication, and displaying in our design and realization of such a system. Extensive experiments show the developed system runs reliably and comfortably in real time with a minimal setup requirement (e.g., a webcam, a laptop/desktop connected to the public Internet) for tele-immersive video communication. With such a really minimal deployment requirement, we present a variety of interesting applications and user experiences created by ITEM.