• Journal of Communications and Networks
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• v.18 no.4
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• pp.540-550
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• 2016

Since energy efficiency has become a significant concern for network infrastructure, next-generation network devices are expected to have embedded advanced power management capabilities. However, how to effectively exploit the green capabilities is still a big challenge, especially given the high heterogeneity of devices and their internal architectures. In this paper, we introduce a hierarchical power management architecture (HPMA) which represents physical components whose power can be monitored and controlled at various levels of a device as entities. We use energy aware state (EAS) as the power management setting mode of each device entity. The power policy controller is capable of getting information on how many EASes of the entity are manageable inside a device, and setting a certain EAS configuration for the entity. We propose the optimal local control policy which aims to minimize the router power consumption while meeting the performance constraints. A first-order Markov chain is used to model the statistical features of the network traffic load. The dynamic EAS configuration problem is formulated as a Markov decision process and solved using a dynamic programming algorithm. In addition, we demonstrate a reference implementation of the HPMA and EAS concept in a NetFPGA frequency scaled router which has the ability of toggling among five operating frequency options and/or turning off unused Ethernet ports.

• Journal of Information Processing Systems
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• v.14 no.4
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• pp.989-1009
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• 2018

Rapid advances in science and technology with exponential development of smart mobile devices, workstations, supercomputers, smart gadgets and network servers has been witnessed over the past few years. The sudden increase in the Internet population and manifold growth in internet speeds has occasioned the generation of an enormous amount of data, now termed 'big data'. Given this scenario, storage of data on local servers or a personal computer is an issue, which can be resolved by utilizing cloud computing. At present, there are several cloud computing service providers available to resolve the big data issues. This paper establishes a framework that builds Hadoop clusters on the new single-board computer (SBC) Mobile Raspberry Pi. Moreover, these clusters offer facilities for storage as well as computing. Besides the fact that the regular data centers require large amounts of energy for operation, they also need cooling equipment and occupy prime real estate. However, this energy consumption scenario and the physical space constraints can be solved by employing a Mobile Raspberry Pi with Hadoop clusters that provides a cost-effective, low-power, high-speed solution along with micro-data center support for big data. Hadoop provides the required modules for the distributed processing of big data by deploying map-reduce programming approaches. In this work, the performance of SBC clusters and a single computer were compared. It can be observed from the experimental data that the SBC clusters exemplify superior performance to a single computer, by around 20%. Furthermore, the cluster processing speed for large volumes of data can be enhanced by escalating the number of SBC nodes. Data storage is accomplished by using a Hadoop Distributed File System (HDFS), which offers more flexibility and greater scalability than a single computer system.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.9
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• pp.742-751
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• 2018

In this paper, we propose a time varying biased proportional navigation guidance law that controls the impact angle under Field-of-View(FOV) and the acceleration limit of the missile. The proposed law is composed of three stages in consideration of the FOV limitation. Since the bias directly affects the acceleration at each stage, the final bias value of the previous stage becomes the initial bias value of the next stage when the stage is switched. In addition, the impact angles were controlled by judging whether impact angles were reached in consideration of engagement conditions and physical constraints.

• The KIPS Transactions:PartA
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• v.9A no.4
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• pp.459-466
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• 2002

Modern embedded system employs a hybrid architecture which contains a general micro processor and reconfigurable devices such as FPGAS to retain flexibility and to meet timing constraints. It is a hard and important problem for embedded system designers to explore and find a right system configuration, which is known as design space exploration (DSE). With DES, it is possible to predict a final system configuration during the design phase before physical implementation. In this paper, we implement a timing analysis simulator for a DSE on a hybrid embedded system. The simulator, integrating exiting timing analysis tools for hardware and software, is designed by extending Y-chart approach, which allows quantitative performance analysis by varying design parameters. This timing analysis simulator is expected to reduce design time and costs and be used as a core module of a DSE for a hybrid embedded system.

• Korean Journal of Remote Sensing
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• v.19 no.2
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• pp.135-147
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• 2003

This study used the multistage hierarchical clustering image classification to analyze the satellite images for the land-cover types of an area in the Korean peninsula. The multistage algorithm consists of two stages. The first stage performs region-growing segmentation by employing a hierarchical clustering procedure with the restriction that pixels in a cluster must be spatially contiguous, and finally the whole image space is segmented into sub-regions where adjacent regions have different physical properties. Without spatial constraints for merging, the second stage clusters the segments resulting from the previous stage. The image classification of hierarchical clustering, which merges step-by step two small groups into one large one based on the hierarchical structure of digital imagery, generates a hierarchical tree of the relation between the classified regions. The experimental results show that the hierarchical tree has the detailed information on the hierarchical structure of land-use and more detailed spectral information is required for the correct analysis of land-cover types.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.61-68
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• 2018

As the smartphone and mobile environment develop, the time and space constraints for individual work performance are disappearing. Companies can reduce costs and expand their business quickly through cloud computing. As the use of various cloud expands, the boundaries of users, data, and applications are disappearing. Traditional security approaches based on boundaries (Perimeter) are losing their utility in the cloud environment. This paper describes the limitations of existing network access control (NAC) in a cloud environment and suggests network security technology that complements it. The study explains the SDP and combines SDP(Software Defined Perimeter) to overcome the limitations of NAC, while at the same time explaining its role as a new framework for supporting the cloud environment. The new framework proposed in this paper suggests a software-based network security solution that supports physical and software parts, providing identity-based access control, encrypted segment management, and dynamic policy management, not IP-based.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.241-244
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• 2014

In this paper, we apply the learning of the mobile robot insect augmented reality Digilog Book. In the era of electronic, book written in paper space just have moved to virtual reality space. The virtual reality, constraints spatial and physical, in the real world, it is a technique that enables to experience indirectly situation not experienced directly as user immersive experience type interface. Applied to the learning robot Digilog Book that allows the fusion of paper analog and digital content, using the augmented reality technology, to experience various interactions. Apply critical elements moving, three-dimensional images and animation to enrich the learning, for easier block assembly, designed to grasp more easily rank order between the blocks. Anywhere at any time, is capable of learning of the robot in Digilog Book to be executed by the mobile phone in particular.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.207-214
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• 2019

The speed of technological development is increasing, and high-performance digital devices are spreading. Wired digital devices such as PCs have been optimized for existing wired environments, but needs are shifting away from the constraints of space and space to smart work that enables efficient work anywhere and anytime. The Smart Work System security design is needed to secure integrity and availability in the face of various security threats including physical threats (lost, stolen, and damaged terminals), technical threats (data theft, DoS: denial of service), and unauthorized access outside the wired environment. In this study, we analyzed smart work network systems, wired / wireless link systems, and digital smart devices. We also studied cyber-attack analysis and cybersecurity design methods for a Smart Work wired system and a future wireless system. This study will be used as basic data for building a secure Smart Work system.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.5
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• pp.41-50
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• 2019

In this study, we analyzed the process of the housing reflecting the self, based on the qualitative data that people describe their thoughts about their housing in social media 'online-housewarming'. Especially, based on the precedent study that modern self is established on continuous selection behavior, we focused on the selection behavior of the self and the role of the housing that affected it through the narrative. Each narrative component corresponds to the self-establishment process of modern people, identified through precedent study. We can confirm the existing internal criteria changing into new internal criteria through accumulation, interaction and nonverbal communication of selection by housing. Housing has been involved in the selection behavior of self throughout the narrative. From this, it can be seen that the thought of the self and housing are identified in three ways. In 'Online-Housewarming', (1) Housing equates with the self, in the sense that housing is a physical entity in which one's own choices are accumulated (2) People perceive the change of choice caused by the realistic constraints of housing as their interaction with housing. (3) People relate the opinions of others about housing with the opinions about their own self. In contemporary society, house reforming process is a process of mediating the self and the external world based on the selection behavior and affects the establishment of self.

• The Korean Journal of Food & Health Convergence
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• v.5 no.1
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• pp.13-19
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• 2019

Proximate analysis of Ipomea batatass L. grown in two different locations in Imo State were investigated. Standard soil analytical method was used to determine the physiochemical contents of the two soil sample collected from Mgbidi and Orji Ipomea batatass L. farm land. The soil sand from Ipomea batatass L. root in Orji farm recorded highest percentage value of 75.00% compared to the soil sand Ipomea batatass L. root in Mgbidi farm with 27.00% value. The percentage value of silt was different as the soil Ipomea batatass L. root in Mgbidi farm had high value of 29.40% while soil silt of Ipomea batatass L. root in Orji farm had 13.40%. The soil clay, pH, Phosphorus and Nitrogen from Ipomea batatass L. root in Mgbidi farm recorded highest percentage value of 43.60%, 5.7, 23.20 and 0.35 compared to the soil sand Ipomea root in Orji farm with 11.60%, 5.4, 16.70 and 0.09 value respectively. Ca, Mg, K, and Na analyzed followed the same trend as the soil from Ipomea root in Mgbidi farm had high percentage value of Ca (10.00), Mg (1.60), K (0.54) and Na (0.43) respectively. The systematic study of physiochemical of the Ipomea soils could help in understanding the nutritional composition, the basic characteristics of the soils and the constraints associated with the management of the soils from the two locations.