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Jong Hyuk Park; Young-Sik Jeong; Gangman Yi; Neil Y. Yen. Guest Editorial: Technologies and Applications for Interactive NUX/NUI. Multimedia Tools and Applications 2016, 75, 15151 -15156.
AMA StyleJong Hyuk Park, Young-Sik Jeong, Gangman Yi, Neil Y. Yen. Guest Editorial: Technologies and Applications for Interactive NUX/NUI. Multimedia Tools and Applications. 2016; 75 (23):15151-15156.
Chicago/Turabian StyleJong Hyuk Park; Young-Sik Jeong; Gangman Yi; Neil Y. Yen. 2016. "Guest Editorial: Technologies and Applications for Interactive NUX/NUI." Multimedia Tools and Applications 75, no. 23: 15151-15156.
Neighbor discovery is one of the emerging research areas in a wireless sensor network. After sensors are distributed, neighbor discovery is the first process to set up a communication channel with neighboring sensors. This paper proposes a new block design–based asymmetric neighbor discovery protocol for sensor networks. We borrow the concept of combinatorial block designs for our block combination scheme for neighbor discovery. First, we introduce an asymmetric neighbor discovery problem and define a target research question. Second, we propose a new asymmetric block design–based neighbor discovery protocol and explain how it works. Third, we analyze the worst-case neighbor discovery latency numerically between our protocol and some well-known protocols in the literature, and compare and evaluate the performance between the proposed protocol and others. Our protocol reveals that the worst-case latency is much lower than that of Disco and U-Connect. Finally, we conclude that the minimum number of slots per a neighbor schedule shows the lowest discovery time in terms of discovery latency and energy consumption.
Sangil Choi; Gangman Yi. Asymmetric Block Design-Based Neighbor Discovery Protocol in Sensor Networks. Sustainability 2016, 8, 431 .
AMA StyleSangil Choi, Gangman Yi. Asymmetric Block Design-Based Neighbor Discovery Protocol in Sensor Networks. Sustainability. 2016; 8 (5):431.
Chicago/Turabian StyleSangil Choi; Gangman Yi. 2016. "Asymmetric Block Design-Based Neighbor Discovery Protocol in Sensor Networks." Sustainability 8, no. 5: 431.
As people get interested in health issues, different types of human activity trackers or monitoring systems are emerging these days. Therefore, many researchers have been interested in this issue and have proposed various monitoring systems based on accelerometer sensors. However, few systems focus on energy consumption of sensor devices. In this paper, we focus on an application-level solution for saving energy consumption of a human daily activity monitoring system using a wireless wearable sensor. We propose an on-board data processing mechanism for monitoring daily activity in humans. This technique focuses on reducing the size of processed data and transmission rate to save the energy of the sensors. In addition, we develop an activity classification algorithm based on both an inclination angle and a standard deviation value. The proposed system is capable of monitoring most daily activities of the human body: standing, sitting, walking, lying, running, and so on. Furthermore, one of our key contributions is that all functionalities including data processing, activity classification, wireless communication, and storing classified activities were achieved in a single sensor node without compromising the accuracy of activity classification. Our experimental results show that the accuracy of our classification system is over 95 %.
Sangil Choi; Gangman Yi. Energy Consumption and Efficiency Issues in Human Activity Monitoring System. Wireless Personal Communications 2016, 91, 1799 -1815.
AMA StyleSangil Choi, Gangman Yi. Energy Consumption and Efficiency Issues in Human Activity Monitoring System. Wireless Personal Communications. 2016; 91 (4):1799-1815.
Chicago/Turabian StyleSangil Choi; Gangman Yi. 2016. "Energy Consumption and Efficiency Issues in Human Activity Monitoring System." Wireless Personal Communications 91, no. 4: 1799-1815.
Techniques for analyzing genome sequences in high performance environments to predict the function and structure of a protein have been developing. The function of a protein is determined by its characteristics and the sequence pattern, and a protein is classified as belonging to a family according to its genealogy and structure. This study determines the protein family of unknown proteins by analyzing the sequence database of the proteins, which is classified using a clustering algorithm. The analysis of the experimental clustering results verified that, by applying the proposed pf_cluster algorithm, the protein family of new proteins can be found using their sequence information.
Seok-Hyeon Han; Gangman Yi. High performance clustering algorithm for analysis of protein family clusters. The Journal of Supercomputing 2016, 72, 1878 -1896.
AMA StyleSeok-Hyeon Han, Gangman Yi. High performance clustering algorithm for analysis of protein family clusters. The Journal of Supercomputing. 2016; 72 (5):1878-1896.
Chicago/Turabian StyleSeok-Hyeon Han; Gangman Yi. 2016. "High performance clustering algorithm for analysis of protein family clusters." The Journal of Supercomputing 72, no. 5: 1878-1896.
Recently, there is a growing interest in the sequence analysis. In particular, the next generation sequencing (NGS) technique fragments the base sequence and analyzes the functions thereof. Its essential role is to arrange pieces of the base sequence together based on sequencing and to define the functions. The organization of unarranged piece of sequence is one of the active research areas; moreover, definition of gene function automatically is a popular research topic. The previous studies about the automatic gene function have mainly utilized the method that automatically defines protein functions by using the similarities of base sequence or the disclosed database and the protein interaction or context free method. This study aims to predict the category of protein whose function was not defined after learning automatically with GO by extracting the characteristics of protein inside the cluster. This study conducts clustering by using the protein interaction that is generated by the similarities of base sequence under the assumption that the proteins inside the cluster have similar function. The proposed method is to show an optimized result in accordance with the option after finding the option value that can give the outperformed prediction of GO, which classifies the functions based on the IPR and keywords inside the same cluster as the unique features.
Gangman Yi. An Optimized Prediction Model Based on Feature Probability for Functional Identification of Large-Scale Ubiquitous Data. Mathematical Problems in Engineering 2015, 2015, 1 -7.
AMA StyleGangman Yi. An Optimized Prediction Model Based on Feature Probability for Functional Identification of Large-Scale Ubiquitous Data. Mathematical Problems in Engineering. 2015; 2015 ():1-7.
Chicago/Turabian StyleGangman Yi. 2015. "An Optimized Prediction Model Based on Feature Probability for Functional Identification of Large-Scale Ubiquitous Data." Mathematical Problems in Engineering 2015, no. : 1-7.
In the past, we used to call the name of members for the purpose of attendance checking by managers (or instructors). They verify the identity of member's participation by human recognition using facial and voice matching. This approach is time-consuming because the number of members is getting increased. Moreover, they may have to recheck any of the students’ presence at the end of the period manually. In this research, we offer a convenient novel attendance checking method to take advantage of Wi-Fi 802.11x technology. Our application initiates AP mode Wi-Fi service for checking attendance of users in which a token is generated only to a person who is close to a manager. If a member has the token, the smart application of the member will connect and report to attendance server. Otherwise, the smart application of the member will report to the server that the users/students are not near the manager. By this way managers/instructors can easily check the member's attendance. In addition, this research proposes a novel concept that unlimited number of devices can be supported. We make use of Wi-Fi scan (rather than connect) to the manager's AP enabled smart devices, resulting in an enhanced scalability.
Min Choi; Jong-Hyuk Park; Gangman Yi. Attendance Check System and Implementation for Wi-Fi Networks Supporting Unlimited Number of Concurrent Connections. International Journal of Distributed Sensor Networks 2015, 11, 1 .
AMA StyleMin Choi, Jong-Hyuk Park, Gangman Yi. Attendance Check System and Implementation for Wi-Fi Networks Supporting Unlimited Number of Concurrent Connections. International Journal of Distributed Sensor Networks. 2015; 11 (7):1.
Chicago/Turabian StyleMin Choi; Jong-Hyuk Park; Gangman Yi. 2015. "Attendance Check System and Implementation for Wi-Fi Networks Supporting Unlimited Number of Concurrent Connections." International Journal of Distributed Sensor Networks 11, no. 7: 1.
The ubiquitous cloud computing environment supports software as service that allows for an efficient usage by the developer, user, and manager. But within ubiquitous cloud computing, numerous services are being provided by various service providers, making it difficult for the developer to find the service needed for system development or to apply and adopt it during development. In this paper, we propose a service composition model based on user experience where the user can find the type of service that he needs, construct a composition and apply it to the overall system development. The proposed model has three factors: service characteristics, personal information, and user preference. The service characteristics to apply the most appropriate service that the user intends to apply was taken into consideration, personal information that takes into account individual characteristics of the user and a user preference that takes into account the preferred parts in the field that the user seeks to develop was applied. To evaluate the suggested method, 100 people were recruited and surveyed on user satisfaction. The result shows that the proposed method performed better than the existing methods.
Hwa-Young Jeong; Gangman Yi; Jong Hyuk Park. A service composition model based on user experience in Ubi-cloud comp. Telecommunication Systems 2015, 61, 897 -907.
AMA StyleHwa-Young Jeong, Gangman Yi, Jong Hyuk Park. A service composition model based on user experience in Ubi-cloud comp. Telecommunication Systems. 2015; 61 (4):897-907.
Chicago/Turabian StyleHwa-Young Jeong; Gangman Yi; Jong Hyuk Park. 2015. "A service composition model based on user experience in Ubi-cloud comp." Telecommunication Systems 61, no. 4: 897-907.
A real-time smart metering system has strict requirements, since every piece of data gathered from various meters every hour is of importance, and each component consisting of metering infrastructure should be sustainable. Therefore, it is necessary to efficiently manage the meter data set in smart metering networks as well as in a server. Therefore, we propose a dedicated file system, a LIght-weight Metering File System (LIMFS), which is capable of not only efficiently storing and searching meter data but also performing distributed fault-tolerant meter data management for real-time smart meter devices. The proposed LIMFS exploits accumulated data sliding storage (ADSS) for lost data recovery and latest-first error-ignorant data management (LEDM) to reduce memory wastage, coping with dynamic report interval. Experimental results demonstrate that LIMFS has as a small enough overhead to be considered negligible, and provides flexible memory capacity according to dynamic report interval, in spite of lost data recovery functionality.
Gangman Yi; Seok-Jun Choi; Kwang-Il Hwang. A Light-Weight Metering File System for Sustainable Real-Time Meter Data Management. Sustainability 2014, 6, 6351 -6361.
AMA StyleGangman Yi, Seok-Jun Choi, Kwang-Il Hwang. A Light-Weight Metering File System for Sustainable Real-Time Meter Data Management. Sustainability. 2014; 6 (9):6351-6361.
Chicago/Turabian StyleGangman Yi; Seok-Jun Choi; Kwang-Il Hwang. 2014. "A Light-Weight Metering File System for Sustainable Real-Time Meter Data Management." Sustainability 6, no. 9: 6351-6361.
Even though existing low-power listening (LPL) protocols have enabled ultra-low-power operation in wireless sensor networks (WSN), they do not address trade-off between energy and delay, since they focused only on energy aspect. However, in recent years, a growing interest in various WSN applications is requiring new design factors, such as minimum delay and higher reliability, as well as energy efficiency. Therefore, in this paper we propose a novel sensor multiple access control (MAC) protocol, transmission rate based adaptive low-power listening MAC protocol (TRA-MAC), which is a kind of preamble-based LPL but is capable of controlling preamble sensing cycle adaptively to transmission rates. Through experiments, it is demonstrated that TRA-MAC enables LPL cycle (LC) and preamble transmission length to adapt dynamically to varying transmission rates, compensating trade-off between energy and response time.
Kwang-Il Hwang; Gangman Yi. Adaptive Low-Power Listening MAC Protocol Based on Transmission Rates. The Scientific World Journal 2014, 2014, 1 -6.
AMA StyleKwang-Il Hwang, Gangman Yi. Adaptive Low-Power Listening MAC Protocol Based on Transmission Rates. The Scientific World Journal. 2014; 2014 ():1-6.
Chicago/Turabian StyleKwang-Il Hwang; Gangman Yi. 2014. "Adaptive Low-Power Listening MAC Protocol Based on Transmission Rates." The Scientific World Journal 2014, no. : 1-6.
Resource management of the main memory and process handler is critical to enhancing the system performance of a web server. Owing to the transaction delay time that affects incoming requests from web clients, web server systems utilize several web processes to anticipate future requests. This procedure is able to decrease the web generation time because there are enough processes to handle the incoming requests from web browsers. However, inefficient process management results in low service quality for the web server system. Proper pregenerated process mechanisms are required for dealing with the clients’ requests. Unfortunately, it is difficult to predict how many requests a web server system is going to receive. If a web server system builds too many web processes, it wastes a considerable amount of memory space, and thus performance is reduced. We propose an adaptive web process manager scheme based on the analysis of web log mining. In the proposed scheme, the number of web processes is controlled through prediction of incoming requests, and accordingly, the web process management scheme consumes the least possible web transaction resources. In experiments, real web trace data were used to prove the improved performance of the proposed scheme.
Heung Ki Lee; Jaehee Jung; Gangman Yi. Resource Management Scheme Based on Ubiquitous Data Analysis. The Scientific World Journal 2014, 2014, 1 -11.
AMA StyleHeung Ki Lee, Jaehee Jung, Gangman Yi. Resource Management Scheme Based on Ubiquitous Data Analysis. The Scientific World Journal. 2014; 2014 ():1-11.
Chicago/Turabian StyleHeung Ki Lee; Jaehee Jung; Gangman Yi. 2014. "Resource Management Scheme Based on Ubiquitous Data Analysis." The Scientific World Journal 2014, no. : 1-11.
In order to construct an efficient wireless sensor system, it is necessary to increase the lifetime of its battery-operated sensor nodes. To this end, a wireless body sensor system adopts a transmission power control (TPC) mechanism. However, existing TPC mechanisms adjust the transmission power level (TPL) according to the received signal strength indication (RSSI) value of the most recently received data packet. Therefore, they do not effectively cope with dynamically changing wireless body channel environments. In particular, when a wireless channel is unstable, changes in the TPL should be avoided to prevent energy consumption due to unnecessary transmission and reception of control packets. Accordingly, this paper proposes a new TPC mechanism that adaptively changes the control packet transmission interval on the basis of the current channel condition. Further, actual sensors are used to experimentally verify that the proposed mechanism (1) performs well in all channel environments and (2) facilitates the construction of an efficient wireless body sensor system.
Gangman Yi; Daeun Yu; Namgi Kim. Adjusting Control Packet Transmission Intervals in Low Power Sensor Systems. International Journal of Distributed Sensor Networks 2014, 10, 1 .
AMA StyleGangman Yi, Daeun Yu, Namgi Kim. Adjusting Control Packet Transmission Intervals in Low Power Sensor Systems. International Journal of Distributed Sensor Networks. 2014; 10 (8):1.
Chicago/Turabian StyleGangman Yi; Daeun Yu; Namgi Kim. 2014. "Adjusting Control Packet Transmission Intervals in Low Power Sensor Systems." International Journal of Distributed Sensor Networks 10, no. 8: 1.
In recent years, traditional development techniques for e-learning systems have been changing to become more convenient and efficient. One new technology in the development of application systems includes both cloud and ubiquitous computing. Cloud computing can support learning system processes by using services while ubiquitous computing can provide system operation and management via a high performance technical process and network. In the cloud computing environment, a learning service application can provide a business module or process to the user via the internet. This research focuses on providing the learning material and processes of courses by learning units using the services in a ubiquitous computing environment. And we also investigate functions that support users’ tailored materials according to their learning style. That is, we analyzed the user’s data and their characteristics in accordance with their user experience. We subsequently applied the learning process to fit on their learning performance and preferences. Finally, we demonstrate how the proposed system outperforms learning effects to learners better than existing techniques.
Hwa-Young Jeong; Gangman Yi. A Service Based Adaptive U-Learning System Using UX. The Scientific World Journal 2014, 2014, 1 -9.
AMA StyleHwa-Young Jeong, Gangman Yi. A Service Based Adaptive U-Learning System Using UX. The Scientific World Journal. 2014; 2014 ():1-9.
Chicago/Turabian StyleHwa-Young Jeong; Gangman Yi. 2014. "A Service Based Adaptive U-Learning System Using UX." The Scientific World Journal 2014, no. : 1-9.
Automated protein function prediction defines the designation of functions of unknown protein functions by using computational methods. This technique is useful to automatically assign gene functional annotations for undefined sequences in next generation genome analysis (NGS). NGS is a popular research method since high-throughput technologies such as DNA sequencing and microarrays have created large sets of genes. These huge sequences have greatly increased the need for analysis. Previous research has been based on the similarities of sequences as this is strongly related to the functional homology. However, this study aimed to designate protein functions by automatically predicting the function of the genome by utilizing InterPro (IPR), which can represent the properties of the protein family and groups of the protein function. Moreover, we used gene ontology (GO), which is the controlled vocabulary used to comprehensively describe the protein function. To define the relationship between IPR and GO terms, three pattern recognition techniques have been employed under different conditions, such as feature selection and weighted value, instead of a binary one.
Jaehee Jung; Heung Ki Lee; Gangman Yi. A Novel Method for Functional Annotation Prediction Based on Combination of Classification Methods. The Scientific World Journal 2014, 2014, 1 -9.
AMA StyleJaehee Jung, Heung Ki Lee, Gangman Yi. A Novel Method for Functional Annotation Prediction Based on Combination of Classification Methods. The Scientific World Journal. 2014; 2014 ():1-9.
Chicago/Turabian StyleJaehee Jung; Heung Ki Lee; Gangman Yi. 2014. "A Novel Method for Functional Annotation Prediction Based on Combination of Classification Methods." The Scientific World Journal 2014, no. : 1-9.
In cloud computing environment, identifying and making an ontology model to use SaaS application is very important role in order to find the software applications and use their services efficiently. However, recently, the research about ontology model for SaaS lacked. In this research, we proposed an ontology model for SaaS applications in cloud computing environment. In this model, in order to considered their relation between the SaaS applications, we made Topic Map model on the ontology. The Topic was SaaS applications, systems, and servers. In the Topic Model, we defined the Topic relation and matching function with the Topics. Finally, we made Topic Map based ontology model by 4 layers, Topic, Instance, Association and Occurrence.
Hwa Young Jeong; Jae Dong Lee; Deok Gyu Lee; Gangman Yi; Jong Hyuk Park. Topic Map Based Ontology Model for SaaS Application in Cloud Computing. 2014 7th International Conference on Ubi-Media Computing and Workshops 2014, 22 -25.
AMA StyleHwa Young Jeong, Jae Dong Lee, Deok Gyu Lee, Gangman Yi, Jong Hyuk Park. Topic Map Based Ontology Model for SaaS Application in Cloud Computing. 2014 7th International Conference on Ubi-Media Computing and Workshops. 2014; ():22-25.
Chicago/Turabian StyleHwa Young Jeong; Jae Dong Lee; Deok Gyu Lee; Gangman Yi; Jong Hyuk Park. 2014. "Topic Map Based Ontology Model for SaaS Application in Cloud Computing." 2014 7th International Conference on Ubi-Media Computing and Workshops , no. : 22-25.
Frequent packet loss of media data is a critical problem that degrades the quality of streaming services over mobile networks. Packet loss invalidates frames containing lost packets and other related frames at the same time. Indirect loss caused by losing packets decreases the quality of streaming. A scalable streaming service can decrease the amount of dropped multimedia resulting from a single packet loss. Content providers typically divide one large media stream into several layers through a scalable streaming service and then provide each scalable layer to the user depending on the mobile network. Also, a scalable streaming service makes it possible to decode partial multimedia data depending on the relationship between frames and layers. Therefore, a scalable streaming service provides a way to decrease the wasted multimedia data when one packet is lost. However, the hierarchical structure between frames and layers of scalable streams determines the service quality of the scalable streaming service. Even if whole packets of layers are transmitted successfully, they cannot be decoded as a result of the absence of reference frames and layers. Therefore, the complicated relationship between frames and layers in a scalable stream increases the volume of abandoned layers. For providing a high-quality scalable streaming service, we choose a proper relationship between scalable layers as well as the amount of transmitted multimedia data depending on the network situation. We prove that a simple scalable scheme outperforms a complicated scheme in an error-prone network. We suggest an adaptive set-top box (AdaptiveSTB) to lower the dependency between scalable layers in a scalable stream. Also, we provide a numerical model to obtain the indirect loss of multimedia data and apply it to various multimedia streams. Our AdaptiveSTB enhances the quality of a scalable streaming service by removing indirect loss.
Heung Ki Lee; Jaehee Jung; Kyung Jin Ahn; Hwa-Young Jeong; Gangman Yi. Numeric Analysis for Relationship-Aware Scalable Streaming Scheme. Journal of Applied Mathematics 2014, 2014, 1 -12.
AMA StyleHeung Ki Lee, Jaehee Jung, Kyung Jin Ahn, Hwa-Young Jeong, Gangman Yi. Numeric Analysis for Relationship-Aware Scalable Streaming Scheme. Journal of Applied Mathematics. 2014; 2014 ():1-12.
Chicago/Turabian StyleHeung Ki Lee; Jaehee Jung; Kyung Jin Ahn; Hwa-Young Jeong; Gangman Yi. 2014. "Numeric Analysis for Relationship-Aware Scalable Streaming Scheme." Journal of Applied Mathematics 2014, no. : 1-12.
The definition of the automatic protein function means designating the function with the automation by utilizing the data that already revealed unknown protein function. The demand for analysis on the sequencing technology such as the next generation genome analysis (NGS) and the subsequent genome are on the rise; thus, the need for the method of predicting the protein function automatically has been more and more highlighted. As for the existing methods, the studies on the definition of function between the similar species based on the similarities of sequence have been primarily conducted. However, this paper aims to designate by automatically predicting the function of genome by utilizing InterPro (IPR) that can represent the properties of the protein family, which similarly groups the protein function. Moreover, the gene ontology (GO), which is the controlled vocabulary to describe the protein function comprehensively, is to be used. As for the data used in the experiment, the analysis on properties was conducted in the sparse state that is deflected to one side. Thus, this paper aims to analyze the prediction method for protein function automatically through selecting the features, assigning the data processing and weights and applying a variety of classification methods to overcome that property.
Jaehee Jung; Heung Ki Lee; Gangman Yi. Functional Annotation of Proteins by a Novel Method Using Weight and Feature Selection. Lecture Notes in Electrical Engineering 2014, 301, 785 -797.
AMA StyleJaehee Jung, Heung Ki Lee, Gangman Yi. Functional Annotation of Proteins by a Novel Method Using Weight and Feature Selection. Lecture Notes in Electrical Engineering. 2014; 301 ():785-797.
Chicago/Turabian StyleJaehee Jung; Heung Ki Lee; Gangman Yi. 2014. "Functional Annotation of Proteins by a Novel Method Using Weight and Feature Selection." Lecture Notes in Electrical Engineering 301, no. : 785-797.
Quality of streaming service is determined by bandwidth constriction and error rate of link in wireless environments. The layered video coding provides attraction for streaming service at wireless environments through adaptation of streaming size. However, these dependency also increases the possibility that streaming data are thrown out even though they are transmitted successfully. It wastes a lot of link bandwidth and drops the efficiency of transmission. To understand the structure of layered streams increases the performance of layered video streaming. In this paper, we proposed the active streaming schemes of layered video streaming depending on the available bandwidth. The intermediate nodes figured out the structure of layered video streaming and then change the format of scalable streaming scheme. The complicated relationship between layered streams increases the availability of layered stream, but also risks to waste the transmitted layered streams. Additionally, we added the comparison between simple referred layered streams and complicated layered streams.
Heung Ki Lee; Kyung Jin Ahn; Jaehee Jung; Gangman Yi. ActiveSTB: Scalable Scheme Over Wireless Networks. Lecture Notes in Electrical Engineering 2014, 305 -312.
AMA StyleHeung Ki Lee, Kyung Jin Ahn, Jaehee Jung, Gangman Yi. ActiveSTB: Scalable Scheme Over Wireless Networks. Lecture Notes in Electrical Engineering. 2014; ():305-312.
Chicago/Turabian StyleHeung Ki Lee; Kyung Jin Ahn; Jaehee Jung; Gangman Yi. 2014. "ActiveSTB: Scalable Scheme Over Wireless Networks." Lecture Notes in Electrical Engineering , no. : 305-312.
MapReduce is an effective tool for processing large amounts of data in parallel using a cluster of processors or computers. One common data processing task is the join operation, which combines two or more datasets based on values common to each. In this paper, we present a network aware multi-way join for MapReduce (SmartJoin) that improves performance and considers network traffic when redistributing workload amongst reducers. SmartJoin achieves this by dynamically redistributing tuples directly between reducers with an intelligent network aware algorithm. We show that our presented technique has significant potential to minimize the time required to join multiple datasets. In our evaluation, we show that SmartJoin has up to 39 % improvement compared to the non-redistribution method, a 26.8 % improvement over random redistribution and 27.6 % improvement over worst join redistribution.
Kenn Slagter; Ching-Hsien Hsu; Yeh-Ching Chung; Gangman Yi. SmartJoin: a network-aware multiway join for MapReduce. Cluster Computing 2014, 17, 629 -641.
AMA StyleKenn Slagter, Ching-Hsien Hsu, Yeh-Ching Chung, Gangman Yi. SmartJoin: a network-aware multiway join for MapReduce. Cluster Computing. 2014; 17 (3):629-641.
Chicago/Turabian StyleKenn Slagter; Ching-Hsien Hsu; Yeh-Ching Chung; Gangman Yi. 2014. "SmartJoin: a network-aware multiway join for MapReduce." Cluster Computing 17, no. 3: 629-641.
The current article describes the belief propagation in Bayesian Network. Existing books or online tutorials do not contain explanations with enough detail for a novice to understand the mathematics behind the method. Using a real example of Water Quality model, this report will help anyone to understand the belief propagation in Bayesian Network without much knowledge in probability calculus.
Ji Ryang Chung; Gangman Yi. Belief Propagation in Bayesian Network. Lecture Notes in Electrical Engineering 2014, 279, 353 -361.
AMA StyleJi Ryang Chung, Gangman Yi. Belief Propagation in Bayesian Network. Lecture Notes in Electrical Engineering. 2014; 279 ():353-361.
Chicago/Turabian StyleJi Ryang Chung; Gangman Yi. 2014. "Belief Propagation in Bayesian Network." Lecture Notes in Electrical Engineering 279, no. : 353-361.