• Information and Communications Magazine
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• v.31 no.12
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• pp.17-24
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• 2014

빅데이터, IoT, 클라우드 인프라 등 기술의 발달에 따라 일상생활 중에서도 개인과 환경의 변화에 대해 실시간 데이터 수집이 용이하게 되었다. 이를 활용하여 개인의 다양한 특성과 상황을 인지하고 다면적으로 의미를 분석할 수 있는 개인의 라이프스타일(lifestyle, 생활습관) 분석 기술이 중요하게 부각되고 있다. 이 라이프스타일 데이터는 개인의 질병이나 사회 심리적 문제의 원인 분석과 미래 트렌드의 변화예측을 할 수 있는 중요한 근거로 활용된다. 최근 이를 위한 연구로서 활동량, 스트레스, 위치, 수면 등의 라이프스타일 패턴을 추출하여 체계적인 프로세스로 삶의 질을 향상시키는 웰니스 (Wellness) 예측케어 서비스 연구와 서비스들이 활발히 진행되고 있다. 하지만 이러한 서비스를 제공하기에 앞서 개인의 복잡한 라이프스타일 패턴의 추출이 단편적으로만 이뤄지고 있어서, 패턴들 사이의 복잡한 관계를 분석하거나 연계 서비스로의 확장 및 라이프스타일 패턴의 재사용적인 측면에서의 문제가 어려운 이슈가 되고 있다. 이 때문에 웰니스 서비스의 신뢰도가 낮아 사용자가 단순히 재미로 느끼는 수준이거나 일회성에 그치는 모바일 어플리케이션 서비스를 제공받는 경우가 다반사이다. 본 논문에서는 IoT환경에서 다양한 스마트 디바이스에 의해 수집되는 라이프로그로 부터 라이프스타일 패턴 추출 및 모델링, 라이프스타일 패턴 분석으로부터 개인의 행동 추론 및 예측, 원인파악과 관련 지표를 정량적으로 설계하는 분석 엔진 개발 방안, 서비스 디자인을 통하여 실효적인 생활개선의 변화를 유도하는 기술, 개인의 심리적 특성까지 고려한 신뢰성 높은 케어 서비스 제공까지의 전반적인 웰니스 예측케어 서비스시스템 프로세스 및 플랫폼 설계 방안을 제시한다.

• KIISE Transactions on Computing Practices
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• v.21 no.11
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• pp.706-712
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• 2015

These days, much information is provided as a list of summaries through mobile services. In this regard, users consume information in which they are interested by observing the list and not by expressing their interest explicitly or implicitly through rating content or clicking links. Therefore, to appropriately model a user's interest, it is necessary to detect latent interest content. In this study, we propose a method for reasoning latent interest of a user by analyzing mobile content consumption logs of the user. Specifically, since erroneous reasoning will drastically degrade service quality, a unanimity ensemble method is adopted to maximize precision. In this method, an item is determined as the subject of latent interest only when multiple classifiers considering various aspects of the log unanimously agree. Accurate reasoning of latent interest will contribute to enhancing the quality of personalized services such as interest-based recommendation systems.

• Journal of Korea Multimedia Society
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• v.8 no.4
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• pp.439-449
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• 2005

Distributed main memory database management systems (DMM-DBMSs) store the database in main memories of the participating sites. They provide high performance through fast access to the local databases and high speed communication among the sites. Recently, a lot of research results on DMM- DBMSs has been reported. However, to the best of our knowledge, there is no known research result on the performance of the catalog management schemes for DMM-DBMSs. In this work, we evaluated the performance of the partitioned catalog management schemes through experimental analysis. First, we classified the partitioned catalog management schemes into three categories : Partitioned Catalogs Without Caching (PCWC), Partitioned Catalogs With Incremental Caching (PCWIC), and Partitioned Catalogs With Full Caching (PCWFC). Experiments were conducted by varying the number of sites, the number of terminals per site, buffer size, write query ratio, and local query ratio. Experiments show that PCWFC outperforms the other two schemes in all cases. It also means that the performance of PCWIC gradually increases as time goes by. It should be noted that PCWFC does not guarantee high performance for disk-based distributed DBMSs in cases when the workload of individual site is high, catalog write ratio is high, or remote data objects are accessed very frequently. Main reason that PCWFC outperforms for DMM-DBMSs is that query compilation and remote catalog access can be done in a very high speed, even when the catalogs of the remote data objects are frequently updated.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.117-140
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• 2019

As the aging phenomenon accelerates and various social problems related to the elderly of the vulnerable are raised, the need for effective elderly care solutions to protect the health and safety of the elderly generation is growing. Recently, more and more people are using Smart Toys equipped with ICT technology for care for elderly. In particular, log data collected through smart toys is highly valuable to be used as a quantitative and objective indicator in areas such as policy-making and service planning. However, research related to smart toys is limited, such as the development of smart toys and the validation of smart toy effectiveness. In other words, there is a dearth of research to derive insights based on log data collected through smart toys and to use them for decision making. This study will analyze log data collected from smart toy and derive effective insights to improve the quality of life for elderly users. Specifically, the user profiling-based analysis and elicitation of a change in quality of life mechanism based on behavior were performed. First, in the user profiling analysis, two important dimensions of classifying the type of elderly group from five factors of elderly user's living management were derived: 'Routine Activities' and 'Work-out Activities'. Based on the dimensions derived, a hierarchical cluster analysis and K-Means clustering were performed to classify the entire elderly user into three groups. Through a profiling analysis, the demographic characteristics of each group of elderlies and the behavior of using smart toy were identified. Second, stepwise regression was performed in eliciting the mechanism of change in quality of life. The effects of interaction, content usage, and indoor activity have been identified on the improvement of depression and lifestyle for the elderly. In addition, it identified the role of user performance evaluation and satisfaction with smart toy as a parameter that mediated the relationship between usage behavior and quality of life change. Specific mechanisms are as follows. First, the interaction between smart toy and elderly was found to have an effect of improving the depression by mediating attitudes to smart toy. The 'Satisfaction toward Smart Toy,' a variable that affects the improvement of the elderly's depression, changes how users evaluate smart toy performance. At this time, it has been identified that it is the interaction with smart toy that has a positive effect on smart toy These results can be interpreted as an elderly with a desire to meet emotional stability interact actively with smart toy, and a positive assessment of smart toy, greatly appreciating the effectiveness of smart toy. Second, the content usage has been confirmed to have a direct effect on improving lifestyle without going through other variables. Elderly who use a lot of the content provided by smart toy have improved their lifestyle. However, this effect has occurred regardless of the attitude the user has toward smart toy. Third, log data show that a high degree of indoor activity improves both the lifestyle and depression of the elderly. The more indoor activity, the better the lifestyle of the elderly, and these effects occur regardless of the user's attitude toward smart toy. In addition, elderly with a high degree of indoor activity are satisfied with smart toys, which cause improvement in the elderly's depression. However, it can be interpreted that elderly who prefer outdoor activities than indoor activities, or those who are less active due to health problems, are hard to satisfied with smart toys, and are not able to get the effects of improving depression. In summary, based on the activities of the elderly, three groups of elderly were identified and the important characteristics of each type were identified. In addition, this study sought to identify the mechanism by which the behavior of the elderly on smart toy affects the lives of the actual elderly, and to derive user needs and insights.

• The Transactions of the Korea Information Processing Society
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• v.3 no.7
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• pp.1739-1752
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• 1996

Software reengineering involves improving the software maintenance process and improving existing systems by applying new technologies and software tools. Software reengineering can help us understand existing systems and discover software components that are common across systems. In the paper, we discuss the program analysis and environment to assist reengineering. Program analysis takesan existing program as input and generates information about structured part and object-oriented part. It is used to restructure the information by extracting code through reengineering methodology. These restructuring informations with object-oriented archilccture are mapping prolog form to query by using direct reation and summary relation.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.706-716
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• 2016

This study aims at finding impact of cultural and sports characteristics on urban growth. For the empirical analysis, this study uses unique urban resources associated with four categories (Social, Traffic, Cultural and Sports, and Spatial characteristics) among 228 cities and towns using a semi-log multiple regression analysis. The result shows that various local resources have significant impacts on urban growth in terms of population, industry, and fiscal self-reliance ratio. Impressively, cultural and sports resources are relatively beneficial for the urban growth. For the population and industrial growth, expanding public sports facilities and professional sports facilities can be more efficient. For solid local finance, typically focusing on professional sports facilities that have far-reaching ripple effects are useful. The conclusion for this study shows that urban growth policy should prioritize the cultural and sports resources because it can be more effective way to enhance not only for urban growth but also for quality of citizens' life.

• Journal of the Korean Geotechnical Society
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• v.29 no.3
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• pp.61-70
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• 2013

Evaluation of permeability and coefficient of consolidation of clayey sand is critical in analyzing ground stability or environmental problems such as prediction of pollutant transport in groundwater. In this study, permeability tests using a flexible wall permeameter are performed to derive the coefficient of consolidation and permeability of reconstituted soil samples with various mixing ratios of kaolin clays and two different types of sands, which are Jumunjin and Ottawa sands. The test results indicate that the coefficient of consolidation and permeability plots linearly against clay contents in semi-log scale graphs for low clay mixing ratios ranging between 10 to 30%. It is also demonstrated that coefficient of consolidation and permeability of sand and clay mixture are dependent on the soil structure. Contrary to previous findings, the permeability is shown to be independent of the void ratio at low mixing ratios, which can be classified as non-floating fabric. The permeability decreases with the void ratio for floating fabric.

• The Transactions of the Korea Information Processing Society
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• v.6 no.1
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• pp.134-147
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• 1999

The DNS provides naming services which are the basis for the application of the Internet and the security of the DNS should be provided for the security of the Internet. Recently IETF proposed a method which guarantees the integrity of DNS database contents and DNS queries/replies and distributes host public keys. In this paper we describe the design and implementation of the secure DNS which is built based on the IETF proposal and extended to facilitate its sue and management. In the extended secure DNS, DNS servers are used ad the directory system in a public key infrastructure and stores/distributes user public key certificates. The Web-based management interface and security log functions are added and the extended secure DNS is being built so that new cryptographic algorithms can be easily added.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.3049-3054
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• 2014

PST stands for the Premium Sales Tool for Product Consulting is customized product catalog system. In other words, the product classification categories of content for consulting and sales to customers by providing useful information for the maximization of an overall system. These problems with mobility and flexibility of updating the solution to integrate mobile with mobile devices, but high-performance high-resolutions era content data continuously, but still it is difficult to handle. In this paper, to solve this problem, depending on the user's gesture by allowing periodic allocation and release of a problem for load generation enhanced by improving the PST system has been designed and implemented. Implementation was a result of the test the performance of the system, that PA system that has been provided by the traditional DA system show the allocation and the average 78% of the rate of decrease the load is released in the frequency of page, CPU utilization was reduced an average 72% I was confirmed.

• Journal of KIISE:Databases
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• v.36 no.2
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• pp.73-83
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• 2009

In this paper we propose an object similarity matching method based on shape characteristics of an object in an image. The proposed method extracts edge points from edges of objects and generates a log polar histogram with respect to each edge point to represent the relative placement of extracted points. It performs the matching in such a way that it compares polar histograms of two edge points sequentially along with edges of objects, and uses a well-known k-NN(nearest neighbor) approach to retrieve similar objects from a database. To verify the proposed method, we've compared it to an existing Shape-Context method. Experimental results reveal that our method is more accurate in object matching than the existing method, showing that when k=5, the precision of our method is 0.75-0.90 while that of the existing one is 0.37, and when k=10, the precision of our method is 0.61-0.80 while that of the existing one is 0.31. In the experiment of rotational transformation, our method is also more robust compared to the existing one, showing that the precision of our method is 0.69 while that of the existing one is 0.30.