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Prof. KeeHyun Park
Keimyung University

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0 Internet of Things
0 Operating Systems
0 Performance Analysis
0 Blockchain
0 smart dust system

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Conference paper
Published: 11 July 2021 in Advances in Security, Networks, and Internet of Things
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In Smart Dust environments, millions of Smart Dust nodes are scattered over an area, particularly in areas that are difficult to access by human, controlling the Smart Dust nodes and gathering the sensed data are challenging tasks. In this paper, we propose a network traffic reduction method for a dust IoT system by sensor clustering as an attempt to solve the problem. We propose a method to lessen network traffic loads further and hence to alleviate the bottleneck problem by the clustering of smart nodes. The method proposed in this paper reduces the size of transmission data from a Relay Dust Device to the Smart Dust IoT Server by sending a single representative sensed data value, instead of sending the data from all the SDDs. The proposed method is based on the assumption that the Smart Dust Devices that are in very close proximity to each other may send very similar sensed data values. Experiments show that the transmission data size of the proposed work is reduced by as much as 24% to 26% of that of our earlier work.

ACS Style

Joonsuu Park; Keehyun Park. A Network Traffic Reduction Method for a Smart Dust IoT System by Sensor Clustering. Advances in Security, Networks, and Internet of Things 2021, 693 -697.

AMA Style

Joonsuu Park, Keehyun Park. A Network Traffic Reduction Method for a Smart Dust IoT System by Sensor Clustering. Advances in Security, Networks, and Internet of Things. 2021; ():693-697.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2021. "A Network Traffic Reduction Method for a Smart Dust IoT System by Sensor Clustering." Advances in Security, Networks, and Internet of Things , no. : 693-697.

Conference paper
Published: 17 December 2020 in Lecture Notes in Electrical Engineering
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A smart dust environment can be useful for obtaining information on rough terrain that is difficult for humans to access. Information can be obtained by using aircraft in the Amazon rainforest to scatter fine sensors, or by using unmanned spacecraft to throw sensors on the moon's surface. Extreme environments usually have limited network performance. Given this limited network performance, it may be very inefficient to deliver or obtain all information sequentially. Therefore, we propose a method to prioritize and reduce the load by layering the measured data in the same network to solve this problem by use 2-phase methods. In the first phase, we applied the threshold delay transmission, which transmits data only when a change above the threshold occurs. This procedure is very concise and requires very little computing power, so it can be used well in a dust device. In the next phase, we apply a way of integrating the data and forwarding it to the parent node so that the matching information is shared by different data. We actually implemented two-phase methods and measured the baud rate. Where the system proposed in the experiment transmits 100% of both normal and urgent data, in the ordinary system 25.4% of normal data and 100% of urgent data are transmitted. Where the proposed system transmits 21.3% of normal data and 100% of urgent data, the ordinary system sends only 4.1% of normal data and 97.2% of urgent data. The results of these experiments validate the proposed system.

ACS Style

Joonsuu Park; Keehyun Park. Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment. Lecture Notes in Electrical Engineering 2020, 11 -18.

AMA Style

Joonsuu Park, Keehyun Park. Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment. Lecture Notes in Electrical Engineering. 2020; ():11-18.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2020. "Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment." Lecture Notes in Electrical Engineering , no. : 11-18.

Conference paper
Published: 17 December 2020 in Lecture Notes in Electrical Engineering
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In a smart dust IoT (Internet of Things) environment, thousands of sensors are deployed and hence a great number of sensed data is to be processed. In this paper, an IP-NDN (Named Data Networking) gateway is proposed in order to enhance data processing performance in a smart dust IoT environment. An IP-NDN gateway provides links between IP networks and named data networks. The gateway is designed to allocate cores in an IP side and a NDN side separately in such a way that it provides location independence and hence achieves enhanced data processing performance.

ACS Style

Jugeon Pak; Joonsuu Park; Keehyun Park. Design of a Multi-core IP-NDN Gateway for Smart Dust IoT Environments. Lecture Notes in Electrical Engineering 2020, 49 -53.

AMA Style

Jugeon Pak, Joonsuu Park, Keehyun Park. Design of a Multi-core IP-NDN Gateway for Smart Dust IoT Environments. Lecture Notes in Electrical Engineering. 2020; ():49-53.

Chicago/Turabian Style

Jugeon Pak; Joonsuu Park; Keehyun Park. 2020. "Design of a Multi-core IP-NDN Gateway for Smart Dust IoT Environments." Lecture Notes in Electrical Engineering , no. : 49-53.

Journal article
Published: 14 December 2020 in Applied Sciences
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Since a smart dust Internet of Things (IoT) system includes a very large number of devices sometimes deployed in hard-access areas, it is very difficult to prevent security attacks and to alleviate bottleneck phenomena. In this paper, we propose a lightweight blockchain scheme that helps device authentication and data security in a secure smart dust IoT environment. To achieve our goals, (1) we propose the structure of the lightweight blockchain and the algorithm of processing the blockchain. In addition, (2) we reorganize the linear block structure of the conventional blockchain into the binary tree structure in such a way that the proposed blockchain is more efficient in a secure smart dust IoT environment. Experiments show that the proposed binary tree-structured lightweight blockchain scheme can greatly reduce the time required for smart dust device authentication, even taking into account the tree transformation overhead. Compared with the conventional linear-structured blockchain scheme, the proposed binary tree-structured lightweight blockchain scheme achieves performance improvement by up to 40% (10% in average) with respect to the authentication time.

ACS Style

Joonsuu Park; Keehyun Park. A Lightweight Blockchain Scheme for a Secure Smart Dust IoT Environment. Applied Sciences 2020, 10, 8925 .

AMA Style

Joonsuu Park, Keehyun Park. A Lightweight Blockchain Scheme for a Secure Smart Dust IoT Environment. Applied Sciences. 2020; 10 (24):8925.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2020. "A Lightweight Blockchain Scheme for a Secure Smart Dust IoT Environment." Applied Sciences 10, no. 24: 8925.

Journal article
Published: 26 October 2020 in Sensors
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In smart dust IoT environments, a large number of devices with low computing power/resources are deployed to collect surrounding information. There are many issues to consider for an efficient and secure smart dust IoT environment. Sometimes the urgent sensed data needs to be transmitted immediately. In addition, there are potential problems related to security issues since the smart dust IoT systems may be deployed in hard-to-access areas. In this paper, we propose an effective transmission method for two-class sensed data for secure smart IoT systems. We divide the sensed data into two classes which consist of the urgent sensed data class (requiring urgent data transmission) and the normal sensed data class (with a slight transmission delay due to yielding to the urgent data transmission). In addition, for security reasons, the proposed transmission method uses two kinds of blockchains with the following two ledgers: (1) the urgent sensed data ledger, which is a ledger of data that needs urgent transmission; and (2) the normal sensed data ledger, which is a ledger of data that allows some delay. To be specific, the lightweight blockchain based on our earlier work is used for the normal sensed data transmission, whereas the modified conventional blockchain is used for the normal sensed data transmission. The experiments show that the performance of the proposed transmission method is better than the conventional transmission method in almost all sections. There is a 53% performance increase on average with regard to the transmission time. When the ratio of urgent sensed data is 0% (i.e., no urgent sensed data at all), the proposed transmission method is greater improved by as much as about 96%. This means that the lightweight blockchain scheme used in the proposed transmission method for the normal sensed data is very efficient.

ACS Style

Joonsuu Park; Keehyun Park. A Two-Class Data Transmission Method Using a Lightweight Blockchain Structure for Secure Smart Dust IoT Environments. Sensors 2020, 20, 6078 .

AMA Style

Joonsuu Park, Keehyun Park. A Two-Class Data Transmission Method Using a Lightweight Blockchain Structure for Secure Smart Dust IoT Environments. Sensors. 2020; 20 (21):6078.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2020. "A Two-Class Data Transmission Method Using a Lightweight Blockchain Structure for Secure Smart Dust IoT Environments." Sensors 20, no. 21: 6078.

Journal article
Published: 02 March 2020 in Sensors
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Internet of Things (IoT) technologies are undeniably already all around us, as we stand at the cusp of the next generation of IoT technologies. Indeed, the next-generation of IoT technologies are evolving before IoT technologies have been fully adopted, and smart dust IoT technology is one such example. The concept of smart dust IoT technology, which features very small devices with low computing power, is a revolutionary and innovative concept that enables many things that were previously unimaginable, but at the same time creates unresolved problems. One of the biggest problems is the bottlenecks in data transmission that can be caused by this large number of devices. The bottleneck problem was solved with the Dual Plane Development Kit (DPDK) architecture. However, the DPDK solution created an unexpected new problem, which is called the mixed packet problem. The mixed packet problem, which occurs when a large number of data packets and control packets mix and change at a rapid rate, can slow a system significantly. In this paper, we propose a dynamic partitioning algorithm that solves the mixed packet problem by physically separating the planes and using a learning algorithm to determine the ratio of separated planes. In addition, we propose a training data model eXtended Permuted Frame (XPF) that innovatively increases the number of training data to reflect the packet characteristics of the system. By solving the mixed packet problem in this way, it was found that the proposed dynamic partitioning algorithm performed about 72% better than the general DPDK environment, and 88% closer to the ideal environment.

ACS Style

Joonsuu Park; Keehyun Park. A Dynamic Plane Prediction Method Using the Extended Frame in Smart Dust IoT Environments. Sensors 2020, 20, 1364 .

AMA Style

Joonsuu Park, Keehyun Park. A Dynamic Plane Prediction Method Using the Extended Frame in Smart Dust IoT Environments. Sensors. 2020; 20 (5):1364.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2020. "A Dynamic Plane Prediction Method Using the Extended Frame in Smart Dust IoT Environments." Sensors 20, no. 5: 1364.

Conference paper
Published: 04 December 2019 in Lecture Notes in Electrical Engineering
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In a smart dust environment, throughout which small devices are spread to communicate with each other, the unique properties of the smart dust make it difficult to use a typical dual plane network structure. Therefore, we propose in this paper a dynamic scaling method that allows the resources of control and data plane to fluctuate organically. Our proposed method achieves this goal by unifying various variables into critical values, introducing the concept of a neutral (available) plane, and using predictive algorithms.

ACS Style

Joonsuu Park; Keehyun Park. A Dynamic Plane Scaling Method for Smart Dust Environments. Lecture Notes in Electrical Engineering 2019, 381 -384.

AMA Style

Joonsuu Park, Keehyun Park. A Dynamic Plane Scaling Method for Smart Dust Environments. Lecture Notes in Electrical Engineering. 2019; ():381-384.

Chicago/Turabian Style

Joonsuu Park; Keehyun Park. 2019. "A Dynamic Plane Scaling Method for Smart Dust Environments." Lecture Notes in Electrical Engineering , no. : 381-384.

Original article
Published: 11 November 2019 in Personal and Ubiquitous Computing
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According to the development of deep learning technologies, a wide variety of research is being performed to detect intrusion data by using vast amounts of data. Although deep learning performs more accurately than machine learning algorithms when learning large amounts of data, the performance declines significantly in the case of learning from imbalanced data. And, while there are many studies on imbalanced data, most have weaknesses that can result in data loss or overfitting. The purpose of this study is to solve data imbalance by using the Generative Adversarial Networks (GAN) model, which is an unsupervised learning method of deep learning which generates new virtual data similar to the existing data. It also proposed a model that would be classified as Random Forest to identify detection performance after addressing data imbalances based on a GAN. The results of the experiment showed that the performance of the model proposed in this paper was better than the model classified without addressing the imbalance of data. In addition, it was found that the performance of the model proposed in this paper was excellent when compared with other models that were previously used widely for the data imbalance problem.

ACS Style

Joohwa Lee; Keehyun Park. GAN-based imbalanced data intrusion detection system. Personal and Ubiquitous Computing 2019, 25, 121 -128.

AMA Style

Joohwa Lee, Keehyun Park. GAN-based imbalanced data intrusion detection system. Personal and Ubiquitous Computing. 2019; 25 (1):121-128.

Chicago/Turabian Style

Joohwa Lee; Keehyun Park. 2019. "GAN-based imbalanced data intrusion detection system." Personal and Ubiquitous Computing 25, no. 1: 121-128.

Journal article
Published: 10 October 2019 in Applied Sciences
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In this paper, a high-performance network intrusion detection system based on deep learning is proposed for situations in which there are significant imbalances between normal and abnormal traffic. Based on the unsupervised learning models autoencoder (AE) and the generative adversarial networks (GAN) model during deep learning, the study aim is to solve the imbalance of data and intrusion detection of high performance. The AE-CGAN (autoencoder-conditional GAN) model is proposed to improve the performance of intrusion detection. This model oversamples rare classes based on the GAN model in order to solve the performance degradation caused by data imbalance after processing the characteristics of the data to a lower level using the autoencoder model. To measure the performance of the AE-CGAN model, data is classified using random forest (RF), a typical machine learning classification algorithm. In this experiment, we used the canadian institute for cybersecurity intrusion detection system (CICIDS)2017 dataset, the latest public dataset of network intrusion detection system (NIDS), and compared the three models to confirm efficacy of the proposed model. We compared the performance of three types of models. These included single-RF, a classification model using only a classification algorithm, AE-RF which is processed by classifying data features, and the AE-CGAN model which is classified after solving the data feature processing and data imbalance. Experimental results showed that the performance of the AE-CGAN model proposed in this paper was the highest. In particular, when the data were unbalanced, the performances of recall and F1 score, which are more accurate performance indicators, were 93.29% and 95.38%, respectively. The AE-CGAN model showed much better performance.

ACS Style

Joohwa Lee; Keehyun Park. AE-CGAN Model based High Performance Network Intrusion Detection System. Applied Sciences 2019, 9, 4221 .

AMA Style

Joohwa Lee, Keehyun Park. AE-CGAN Model based High Performance Network Intrusion Detection System. Applied Sciences. 2019; 9 (20):4221.

Chicago/Turabian Style

Joohwa Lee; Keehyun Park. 2019. "AE-CGAN Model based High Performance Network Intrusion Detection System." Applied Sciences 9, no. 20: 4221.

Journal article
Published: 02 April 2018 in Applied Sciences
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An IoT (Internet of Things) system typically encompasses a number of devices and sensors and is required to process a large number of messages at a high speed. To address this requirement, we propose a dual plane architecture, which consists of a control plane and a data plane. The control plane processes signaling messages and the data plane takes charge of processing user data messages. This allows the system to process messages separately and simultaneously in the different planes according to the type of incoming message. In this paper, we present the each plane’s role and how messages are processed in the different planes. We also present the interworking method between both planes. To verify the proposed architecture, we implement and apply the architecture to our previous single plane IoT system. We also compare the performance of the proposed system with that of the single plane IoT system in terms of throughput and packet loss ratio. The results reveal that the performance of the proposed architecture is much higher than that of the previous single plane IoT systems. The results prove that the proposed architecture is highly appropriate for IoT environments.

ACS Style

Jugeon Pak; Keehyun Park. A High-Performance Implementation of an IoT System Using DPDK. Applied Sciences 2018, 8, 550 .

AMA Style

Jugeon Pak, Keehyun Park. A High-Performance Implementation of an IoT System Using DPDK. Applied Sciences. 2018; 8 (4):550.

Chicago/Turabian Style

Jugeon Pak; Keehyun Park. 2018. "A High-Performance Implementation of an IoT System Using DPDK." Applied Sciences 8, no. 4: 550.

Journal article
Published: 08 March 2017 in Applied Sciences
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Application areas that utilize the concept of IoT can be broadened to healthcare or remote monitoring areas. In this paper, a remote monitoring system for patients at home in IoT environments is proposed, constructed, and evaluated through several experiments. To make it operable in IoT environments, a protocol conversion scheme between ISO/IEEE 11073 protocol and oneM2M protocol, and a Multiclass Q-learning scheduling algorithm based on the urgency of biomedical data delivery to medical staff are proposed. In addition, for the sake of patients’ privacy, two security schemes are proposed—the separate storage scheme of data in parts and the Buddy-ACK authorization scheme. The experiment on the constructed system showed that the system worked well and the Multiclass Q-learning scheduling algorithm performs better than the Multiclass Based Dynamic Priority scheduling algorithm. We also found that the throughputs of the Multiclass Q-learning scheduling algorithm increase almost linearly as the measurement time increases, whereas the throughputs of the Multiclass Based Dynamic Priority algorithm increase with decreases in the increasing ratio.

ACS Style

Keehyun Park; Joonsuu Park; Jongwhi Lee. An IoT System for Remote Monitoring of Patients at Home. Applied Sciences 2017, 7, 260 .

AMA Style

Keehyun Park, Joonsuu Park, Jongwhi Lee. An IoT System for Remote Monitoring of Patients at Home. Applied Sciences. 2017; 7 (3):260.

Chicago/Turabian Style

Keehyun Park; Joonsuu Park; Jongwhi Lee. 2017. "An IoT System for Remote Monitoring of Patients at Home." Applied Sciences 7, no. 3: 260.

Journal article
Published: 01 September 2015 in Information Sciences
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ACS Style

Keehyun Park; SeungHyeon Lim. A multipurpose smart activity monitoring system for personalized health services. Information Sciences 2015, 314, 240 -254.

AMA Style

Keehyun Park, SeungHyeon Lim. A multipurpose smart activity monitoring system for personalized health services. Information Sciences. 2015; 314 ():240-254.

Chicago/Turabian Style

Keehyun Park; SeungHyeon Lim. 2015. "A multipurpose smart activity monitoring system for personalized health services." Information Sciences 314, no. : 240-254.

Research article
Published: 13 July 2015 in BioMed Research International
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In this paper, a multilayer secure biomedical data management system for managing a very large number of diverse personal health devices is proposed. The system has the following characteristics: the system supports international standard communication protocols to achieve interoperability. The system is integrated in the sense that both a PHD communication system and a remote PHD management system work together as a single system. Finally, the system proposed in this paper provides user/message authentication processes to securely transmit biomedical data measured by PHDs based on the concept of a biomedical signature. Some experiments, including the stress test, have been conducted to show that the system proposed/constructed in this study performs very well even when a very large number of PHDs are used. For a stress test, up to 1,200 threads are made to represent the same number of PHD agents. The loss ratio of the ISO/IEEE 11073 messages in the normal system is as high as 14% when 1,200 PHD agents are connected. On the other hand, no message loss occurs in the multilayered system proposed in this study, which demonstrates the superiority of the multilayered system to the normal system with regard to heavy traffic.

ACS Style

Keehyun Park; SeungHyeon Lim. A Multilayer Secure Biomedical Data Management System for Remotely Managing a Very Large Number of Diverse Personal Healthcare Devices. BioMed Research International 2015, 2015, 1 -17.

AMA Style

Keehyun Park, SeungHyeon Lim. A Multilayer Secure Biomedical Data Management System for Remotely Managing a Very Large Number of Diverse Personal Healthcare Devices. BioMed Research International. 2015; 2015 ():1-17.

Chicago/Turabian Style

Keehyun Park; SeungHyeon Lim. 2015. "A Multilayer Secure Biomedical Data Management System for Remotely Managing a Very Large Number of Diverse Personal Healthcare Devices." BioMed Research International 2015, no. : 1-17.

Book chapter
Published: 01 January 2014 in Lecture Notes in Electrical Engineering
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Various PHDs (Personal Healthcare Devices) have been developed to enable the easy monitoring of individual bio-signals. But while most of the related studies have dealt only with 1:1 communication between a PHD and a monitoring server, serious bottleneck problems at the monitoring server are inevitable in real world in which a very large number of PHD users are monitored. In this paper, data synchronization operations for a hierarchical monitoring system to be applied when a very large number of PHD clients are used are proposed. Detailed execution mechanisms for data synchronization operations are described. After every component uses XOR operations to calculate the difference between what it had in the past and what it has now, it stores the difference in its own table and sends the difference to the component in the upper layer in order to reduce storage/communication costs.

ACS Style

Keehyun Park; SeungHyeon Lim; Joonsuu Park. Data Synchronization Operations for a Monitoring System with a Very Large Number of PHDs. Lecture Notes in Electrical Engineering 2014, 308, 417 -422.

AMA Style

Keehyun Park, SeungHyeon Lim, Joonsuu Park. Data Synchronization Operations for a Monitoring System with a Very Large Number of PHDs. Lecture Notes in Electrical Engineering. 2014; 308 ():417-422.

Chicago/Turabian Style

Keehyun Park; SeungHyeon Lim; Joonsuu Park. 2014. "Data Synchronization Operations for a Monitoring System with a Very Large Number of PHDs." Lecture Notes in Electrical Engineering 308, no. : 417-422.

Conference paper
Published: 21 November 2013 in International Conference on Interdisciplinary Research Theory and Technology
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ACS Style

Keehyun Park; Joonsuu Park; Heo Du Yeong; SeungHyeon Lim. Application of an XML Processing Scheme to an Indoor Golf Simulator. International Conference on Interdisciplinary Research Theory and Technology 2013, 138 -143.

AMA Style

Keehyun Park, Joonsuu Park, Heo Du Yeong, SeungHyeon Lim. Application of an XML Processing Scheme to an Indoor Golf Simulator. International Conference on Interdisciplinary Research Theory and Technology. 2013; ():138-143.

Chicago/Turabian Style

Keehyun Park; Joonsuu Park; Heo Du Yeong; SeungHyeon Lim. 2013. "Application of an XML Processing Scheme to an Indoor Golf Simulator." International Conference on Interdisciplinary Research Theory and Technology , no. : 138-143.

Journal article
Published: 01 July 2013 in International Journal of Distributed Sensor Networks
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A motion tracking system for objects can track and display the movement of objects, including sporting equipment. Recently, it has become evident that individuals who actively participate in sport or fitness activities can benefit from the feedback provided by such a system. A motion tracking system for sporting equipment can improve the sporting skills of users and help prevent injury. In this study, a ubiquitous motion tracking system that tracks sporting equipment using the sensors installed in an activity monitor is proposed and constructed. The activity monitor with the tracking sensors can be attached to places on the body or on sports equipment to calculate the speed and acceleration of these objects. The ubiquitous motion tracking system consists of four modules: a tracking sensor module and a communication module in an activity monitor, a communication module in a USB dongle, and a motion analyzer module in a laptop PC. For experiments, an activity monitor with the tracking sensor module and the communication module is attached to a golf club, and a golf swing is taken. The results of the experiments show that the motion data of sporting equipment can be captured and analyzed easily, in both an indoor environment and an outdoor environment.

ACS Style

Keehyun Park. A Ubiquitous Motion Tracking System Using Sensors in a Personal Health Device. International Journal of Distributed Sensor Networks 2013, 9, 1 .

AMA Style

Keehyun Park. A Ubiquitous Motion Tracking System Using Sensors in a Personal Health Device. International Journal of Distributed Sensor Networks. 2013; 9 (7):1.

Chicago/Turabian Style

Keehyun Park. 2013. "A Ubiquitous Motion Tracking System Using Sensors in a Personal Health Device." International Journal of Distributed Sensor Networks 9, no. 7: 1.

Research article
Published: 09 August 2012 in Journal of Biomedicine and Biotechnology
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Pulse oximetry data such as saturation of peripheral oxygen (SpO2) and pulse rate are vital signals for early diagnosis of heart disease. Therefore, various pulse oximeters have been developed continuously. However, some of the existing pulse oximeters are not equipped with communication capabilities, and consequently, the continuous monitoring of patient health is restricted. Moreover, even though certain oximeters have been built as network models, they focus on exchanging only pulse oximetry data, and they do not provide sufficient device management functions. In this paper, we propose an advanced pulse oximetry system for remote monitoring and management. The system consists of a networked pulse oximeter and a personal monitoring server. The proposed pulse oximeter measures a patient’s pulse oximetry data and transmits the data to the personal monitoring server. The personal monitoring server then analyzes the received data and displays the results to the patient. Furthermore, for device management purposes, operational errors that occur in the pulse oximeter are reported to the personal monitoring server, and the system configurations of the pulse oximeter, such as thresholds and measurement targets, are modified by the server. We verify that the proposed pulse oximetry system operates efficiently and that it is appropriate for monitoring and managing a pulse oximeter in real time.

ACS Style

Ju Geon Pak; Kee Hyun Park. Advanced Pulse Oximetry System for Remote Monitoring and Management. Journal of Biomedicine and Biotechnology 2012, 2012, 1 -8.

AMA Style

Ju Geon Pak, Kee Hyun Park. Advanced Pulse Oximetry System for Remote Monitoring and Management. Journal of Biomedicine and Biotechnology. 2012; 2012 ():1-8.

Chicago/Turabian Style

Ju Geon Pak; Kee Hyun Park. 2012. "Advanced Pulse Oximetry System for Remote Monitoring and Management." Journal of Biomedicine and Biotechnology 2012, no. : 1-8.

Research article
Published: 31 July 2012 in Journal of Biomedicine and Biotechnology
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We propose an integrated gateway for various personal health devices (PHDs). This gateway receives measurements from various PHDs and conveys them to a remote monitoring server (MS). It provides two kinds of transmission modes: immediate transmission and integrated transmission. The former mode operates if a measurement exceeds a predetermined threshold or in the case of an emergency. In the latter mode, the gateway retains the measurements instead of forwarding them. When the reporting time comes, the gateway extracts all the stored measurements, integrates them into one message, and transmits the integrated message to the MS. Through this mechanism, the transmission overhead can be reduced. On the basis of the proposed gateway, we construct a u-healthcare system comprising an activity monitor, a medication dispenser, and a pulse oximeter. The evaluation results show that the size of separate messages from various PHDs is reduced through the integration process, and the process does not require much time; the integration time is negligible.

ACS Style

Keehyun Park; Jugeon Pak. An Integrated Gateway for Various PHDs in U-Healthcare Environments. Journal of Biomedicine and Biotechnology 2012, 2012, 1 -7.

AMA Style

Keehyun Park, Jugeon Pak. An Integrated Gateway for Various PHDs in U-Healthcare Environments. Journal of Biomedicine and Biotechnology. 2012; 2012 ():1-7.

Chicago/Turabian Style

Keehyun Park; Jugeon Pak. 2012. "An Integrated Gateway for Various PHDs in U-Healthcare Environments." Journal of Biomedicine and Biotechnology 2012, no. : 1-7.

Conference paper
Published: 01 January 2012 in Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications
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ACS Style

Ju-Geon Pak; Kee-Hyun Park. Efficient message encoding method for personal health device monitoring system. Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications 2012, 1 .

AMA Style

Ju-Geon Pak, Kee-Hyun Park. Efficient message encoding method for personal health device monitoring system. Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications. 2012; ():1.

Chicago/Turabian Style

Ju-Geon Pak; Kee-Hyun Park. 2012. "Efficient message encoding method for personal health device monitoring system." Proceedings of the 6th International Conference on Informatics, Environment, Energy and Applications , no. : 1.

Book chapter
Published: 07 December 2011 in Lecture Notes in Electrical Engineering
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As mobile devices are being used extensively, for both personal and business applications, Data Synchronization (DS) technology faces a new challenge. Unlike personal data, it is sometimes necessary to share or propagate business data between co-workers. Therefore, mobile devices should be fully synchronized as a group. This paper refers to this operation a “group data synchronization (Group DS)”. In this paper, a new Group DS protocol that is compatible with the Open Mobile Alliance (OMA) DS protocol is proposed, implemented, and analyzed. OMA DS is an open industry-standard protocol for mobile DS environments. To achieve this, the OMA data record formats have been extended, the Server Alerted Sync operation has been implemented and new conflict detection/resolution policies have been established. In addition, a vote operation has been implemented to improve the synchronization reliability. The implementation results show that the memory required by the Group DS system is modest, and that the overall synchronization time does not substantially increase with an increase in the number of devices.

ACS Style

Ju-Geon Pak; Kee-Hyun Park. A Group Data Synchronization Protocol in Mobile Environments. Lecture Notes in Electrical Engineering 2011, 239 -251.

AMA Style

Ju-Geon Pak, Kee-Hyun Park. A Group Data Synchronization Protocol in Mobile Environments. Lecture Notes in Electrical Engineering. 2011; ():239-251.

Chicago/Turabian Style

Ju-Geon Pak; Kee-Hyun Park. 2011. "A Group Data Synchronization Protocol in Mobile Environments." Lecture Notes in Electrical Engineering , no. : 239-251.