• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.241-244
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• 2013

These days wireless network devices (smartphones, tablet PC, laptop) are being utilized more frequently. In line with the increasing number of users of a wireless network, the usage of wireless access points is also increasing. Nowadays as nationwide wireless network services being made available, wireless networks are increasingly being used due to the lower costs of building faster and affordable private or carrier networks. However wireless security is not keeping up with this development. Many use open networks where anyone can join, meanwhile for those using wireless security protocols there is the problem of managing the password. In this paper, we analyze the problems of trying to build a user authentication system using an access point and the RADIUS server.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.929-934
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• 2018

The Internet of Things (IoT) is the network of devices embedded with electronics, software, sensors, actuators, and connectivity which enables these objects to connect and exchange data without any human intervention. The importance of time information is increased in order to impose order on scattered sensor data streams, resolving conflicts through time stamp information and so on. Time information and time synchronization are critical building blocks in the IoT. They allow devices to share a consistent notion of time and it is easier to build efficient and robust collaborative services. This paper proposes a standard time management scheme in the Internet of Things. Many IoT applications involve collection and forwarding of event data. It is useful to know when an event occurs for the purposes of triggering an action. In order to verify the feasibility of the proposed scheme, it is implemented and evaluated in the Arduino development environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1257-1263
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• 2018

Secure authentication technology is a fundamental building block for secure services for Internet of Things devices. Particularly, the multiplication operation is a core operation of public key cryptography, such as RSA, ECC, and SIDH. However, modern low-power processor, namely ARM Cortex-M3 processor, is not secure enough for practical usages, since it executes the multiplication operation in variable-time depending on the input length. When the execution is performed in variable-time, the attacker can extract the password from the measured timing. In order to resolve this issue, recent work presented constant-time solution for multiplication operation. However, the implementation still missed various speed-optimization techniques. In this paper, we analyze previous multiplication methods over ARM Cortex-M3 and provide optimized implementations to accelerate the speed-performance further. The proposed method successfully accelerates the execution-time by up-to 25.7% than previous works.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.686-691
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• 2006

Beginning January 2005, the BTL (Build-Transfer-Lease) project was initiated by government to provide high level of public services for the upgraded quality of life. The most important process of the BTL project is operation, because the company have to operate the building about $20{\sim}30$ years after completion. But a lot of problems have been founded so far. For example, no counterplan for the risk in operation, no total control system and the vagueness in project guideline and so on. These problems will cause serious demage to the BTL project. Hence, this paper analyzes the above issues and conducts the interviews with the professionals from the diverse sectors in order to propose the improvement and deliver the successful operation in BTL project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.151-160
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• 2020

Various smart city projects have been actively promoted as important policies of governments in various countries. The key to the success of smart cities led by governments is to develop sustainable governance through the expansion and proliferation of outcomes. This study comparatively analyzed the smart city policies of the USA and Europe from viewpoints of outcome expansion and proposed policy directions for smart cities in Korea. The comparison items were case cities, the expansion of smart city technologies and services, the measurement of outcomes, the accumulation of knowledge and information, and standardization. This study found that the items of each index were linked for the purpose of assessment, expansion, and the creation of successful cases in the USA and Europe. Based on our analysis, four policy directions were proposed that included the early provision of follow-up measures for case cities, the development of a project performance assessment system, the provision of an integrated knowledge accumulation system, and an earnest promotion of industry activation policies.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.4
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• pp.193-202
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• 2017

Development of Intelligent Systems involves effective integration of large-scaled knowledge processing and understanding, human-machine interaction, and intelligent services. Especially, in our project for development of a self-growing knowledge-based system with inference methodologies utilizing the big data technology, we are building a platform called WiseKB as the central knowledge base for storing massive amount of knowledge and enabling question-answering by inferences. WiseKB thus requires an effective methodology to analyze diverse requirements convoluted with the integration of various components of knowledge representation, resource management, knowledge storing, complex hybrid inference, and knowledge learning, In this paper, we propose an integrated requirement analysis method that blends the traditional sequential method and the iterative-incremental method to achieve an efficient requirement analysis for large-scale systems.

• Smart Media Journal
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• v.5 no.4
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• pp.124-130
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• 2016

Big data technologies are increasing the need for big data in many areas of the world. Recently, the health care industry has become increasingly aware of the importance of disease and health care services, as it has become increasingly immune to prevention and health care. To do this, we need a Big data system to collect and analyze the personal biometric data. In this paper, we design the biometric big data system using low cost wearable device. We collect basic biometric data, such as heart rate, step count and physical activity from Mi Band, and store the collected biometric data into MongoDB. Based on the results of this study, it is possible to build a big data system that can be used in actual medical environment by using Hadoop etc. and to use it in real medical service in connection with various wearable devices for medical information.

• Journal of Information Management
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• v.37 no.3
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• pp.117-137
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• 2006

Science and technology association is producing huge amount of information through the academic activities related in industrial technology between the members and becoming major provider of industrial technology information. But the infrastructure in its individual institute of institution is very poor, which makes systematic management and service unavailable. So, KISTI developed the management and logistics system collecting and processing various technical information produced by institutes and managing as well as distributing through the web. We studied cases matched with requirements of institution and opted for the modeling, using web based application and information retrieval system. Finally, the members of the institution as well as unregistered users can access to the technical reports database easily and quickly. We are planning to extend the range of target institutes and make a progress the system to high functional level.

• Journal of Distribution Science
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• v.14 no.10
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• pp.153-164
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• 2016

Purpose - In general, large companies have larger organizations, funds, and systems to provide more effective and efficient services in the market. However, development needs to support the livelihood of ordinary citizens who work for small businesses as well. This research suggests that a new distribution channel, called a "foothold style Kosa mart," that cooperates jointly with a distribution center and a large discount mart can provide direct solutions to small and mid-size distributors. This new distribution channel can achieve a limited type of "Nadle shop (small supermarket) foster project" related to building a joint distribution center and improvement in wholesale supply. Research design, data, and methodology - Data about the Korea distribution situation, the Nadle stores, and the logistics centers were collected from literature, Statistics Korea, journals, and reports. Specifically, we investigated information about Kosa Mart and Nadle stores. We focused on the redesign of the distribution center for the Nadle store. Results - The Kosa Mart distribution center now includes 18 warehouses, and has been handling 2000-3000 items. Most of the warehouses have been simply designed and items loaded and stored without refrigeration; thus, it is possible to store only products of certain manufactured goods. The current logistics center has no wholesale function because it failed to resolve the joint purchasing and product supply issues of competitively priced products. Conclusions - This study aimed to identify ways to strengthen the competitiveness of small- and medium-sized retailers. A Kosa Mart redesign aims to unifying the logistics center, stores, and customers. First, the joint wholesale logistics system, equipped with an integrated ordering system, needs to process customer orders and store orders at the same time. Second, excellent small business product development has to connect with production. Third, the store composition needs to support a shipping hub. Fourth, the Mart differentiates itself from convenience store goods by supplying regional and specialized products to customers. Fifth, a service buying agent and direct transactions between producers and consumers need to be established, and exhibits and displays of goods need to be improved.

• Journal of Internet Computing and Services
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• v.17 no.2
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• pp.109-118
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• 2016

Big data, thanks to the development of data sciences, has been key words for economic development and governmental policies. This study reviewed how big data has been used with entertainment contents since the uses of big data in the fields have been more popular and the cases making successful business have been reported. To do ends, the changes in production, distribution, and consumption of entertainment contents have been characterized and prime cases have been introduced. Furthermore, Korean production companies of entertainment contents, Bloter and NEOTOUCHPOINT, were selected to investigate how big data has been utilized. It was found that the companies used big data to analyze consumers' behaviors and gain insights of content creation, such as identifying specific elements of enjoyments and conditions to share the contents with others. The domestic entertainment companies are preparing a full-scale of use of big data but, in order to take advantage of big data, collaboration between developers and experts in the field and specific goal-setting and model building are recommended.