• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.609-615
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• 2014

Due to the recent global recession, the car industry demand levels have plummeted which led to a crisis in the automotive parts industry for the first time in history. Since the fourth quarter of 2008, the automotive parts manufacturers in America have faced a record loss and those in Japan and Europe who also had a strong track record are facing a weak economy. In addition, the domestic automotive parts industry is also affected by the global economic crisis. This research is that the relative efficiency analysis utilizing the DEA has done on the object of 25 small and medium-sized automotive parts manufacturers publicly listed, As the efficiency analysis result 6 of 25 manufacturers are efficient in CCR model and 12 manufactures have shown efficiency in BCC model, the efficiency analysis in consideration of the manufacturer size. The manufacturers with efficiency 1 in 25 manufacturers are DMU 1, 5, 7, 10, 18, 24 and the relatively benchmarking objects in other manufactures are DMU 1, 10, 24, Based on the results of this research, a direction to the domestic automotive parts manufacturers as well as a significant information will be provided in managing the companies in the future by the improvement of management efficiency through the practical efficiency analysis.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.12
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• pp.463-470
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• 2016

With the growing demand for MAC-based system, the need for digital forensic techniques of these system has been increasing. In the digital forensic analysis process, sometimes analysts have recovered the deleted files when they prove the allegations if system user try to remove the evidence deliberately. Research and analysis that recover the deleted files from a file system constantly been made and HFS+ that is a file system of MAC-based system also has been researched. Carving techniques primarily has been used to recover the deleted file from HFS+ a file system because metadata of folder or file overwrite metadata of a deleted file when file is deleted from a file system on HFS+ characteristic. But if the file content is saved by separated state in a file system, Carving techniques also can't recover the whole or a part of the deleted file. In this paper we describe technique the deleted file recovery technique using HFS+ file system a journal. This technique that is suggested by existing research and analysis result is the technique that recover the deleted file by metadata that is maintained in a journal on HFS+ file system. but this technique excludes specific files and this problem needs to be reformed. In this paper we suggest algorithm that analysis a journal of HFS+ file system in detail. And we demonstrate that the deleted file cat be recovered from the extracted metadata by this algorithm without the excluded file.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.235-251
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• 2019

The purpose of this study was to investigate the single-person household's demand for a wearable healthcare system that provides the ischemic heart disease and cardiopulmonary alarm to be developed. In this study, in-depth interviews were conducted with six unmarried individuals in their thirties who were in the workplace and the results were interpreted by Giorgi's phenomenological analysis method. The study results indicated that although the wearable healthcare system was implemented with high-technology functions that serve the intended purpose, it is necessary to comprehensively consider factors such as aesthetics, comfort, and ease of washing. In this study, we found that the variables influencing the interviewees' intent to accept healthcare services are complex and cannot be attributed to one factor alone; this study has also shown a variety of interpersonal correlations. In addition, although health-care research focusing on the elderly has been conducted in the past, it is suggested that younger generations such as those in their thirties can also be studied as health care service adopters.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.5
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• pp.649-661
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• 2024

Recently, the need for water supply from hydropower dams has been increasing due to drought. In order to supply water through hydropower dam, the inflow into hydropower dam should be evaluated first. Some of the hydropower dams in the Han River basin are located downstream of multipurpose dam, so it is important to analyze its own inflow of the hydropower dam. The purpose of this study is to evaluate the contribution of inflow by water source to the hydropower dam located in the Han River basin. Water use-related data provided by various domestic institutions were investigated and collected, and a location-based water supply and demand network was constructed. Unlike the existing domestic water balance analysis method, the simulation was conducted in consideration of the amount of transmission loss. The applicability of the analysis method was confirmed through the results of the fitness evaluation (NSE 0.95~0.99 and correlation coefficient 0.98~0.99) comparing the simulated flow with the observed flow at the representative point. Based on the water intake method of the facility and the release method of the remaining multipurpose dam water, a water balance analysis was performed assuming four cases, and the contribution of inflow by water sources into each hydropower dam was evaluated and presented. The research results are expected to provide various information for evaluating the water supply capacity of hydropower dams in the future.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.287-310
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• 2022

Companies' interest in developing AI-based intelligent new products is increasing. Recently, the main concern of companies is to innovate customer experience and create new values by developing new products through the effective use of Artificial intelligence technology. However, due to the nature of products based on radical technologies such as artificial intelligence, intelligent products differ from existing products and development methods, so it is clear that there is a limitation to applying the existing development methodology as it is. This study proposes a new research method based on KANO-TOPSIS for the successful development of AI-based intelligent new products by using car voice assistants as an example. Using the KANO model, select and evaluate functions that customers think are necessary for new products, and use the TOPSIS method to derives priorities by finding the importance of functions that customers need. For the analysis, major categories such as vehicle condition check and function control elements, driving-related elements, characteristics of voice assistant itself, infotainment elements, and daily life support elements were selected and customer demand attributes were subdivided. As a result of the analysis, high recognition accuracy should be considered as a top priority in the development of car voice assistants. Infotainment elements that provide customized content based on driver's biometric information and usage habits showed lower priorities than expected, while functions related to driver safety such as vehicle condition notification, driving assistance, and security, also showed as the functions that should be developed preferentially. This study is meaningful in that it presented a new product development methodology suitable for the characteristics of AI-based intelligent new products with innovative characteristics through an excellent model combining KANO and TOPSIS.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.193-215
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• 2016

In recent years, the proliferation of diverse social networking services has led users to use many mediums simultaneously depending on their individual purpose and taste. Besides, while collecting information about particular themes, they usually employ various mediums such as social networking services, Internet news, and blogs. However, in terms of management, each document circulated through diverse mediums is placed in different categories on the basis of each source's policy and standards, hindering any attempt to conduct research on a specific category across different kinds of sources. For example, documents containing content on "Application for a foreign travel" can be classified into "Information Technology," "Travel," or "Life and Culture" according to the peculiar standard of each source. Likewise, with different viewpoints of definition and levels of specification for each source, similar categories can be named and structured differently in accordance with each source. To overcome these limitations, this study proposes a plan for conducting category mapping between different sources with various mediums while maintaining the existing category system of the medium as it is. Specifically, by re-classifying individual documents from the viewpoint of diverse sources and storing the result of such a classification as extra attributes, this study proposes a logical layer by which users can search for a specific document from multiple heterogeneous sources with different category names as if they belong to the same source. Besides, by collecting 6,000 articles of news from two Internet news portals, experiments were conducted to compare accuracy among sources, supervised learning and semi-supervised learning, and homogeneous and heterogeneous learning data. It is particularly interesting that in some categories, classifying accuracy of semi-supervised learning using heterogeneous learning data proved to be higher than that of supervised learning and semi-supervised learning, which used homogeneous learning data. This study has the following significances. First, it proposes a logical plan for establishing a system to integrate and manage all the heterogeneous mediums in different classifying systems while maintaining the existing physical classifying system as it is. This study's results particularly exhibit very different classifying accuracies in accordance with the heterogeneity of learning data; this is expected to spur further studies for enhancing the performance of the proposed methodology through the analysis of characteristics by category. In addition, with an increasing demand for search, collection, and analysis of documents from diverse mediums, the scope of the Internet search is not restricted to one medium. However, since each medium has a different categorical structure and name, it is actually very difficult to search for a specific category insofar as encompassing heterogeneous mediums. The proposed methodology is also significant for presenting a plan that enquires into all the documents regarding the standards of the relevant sites' categorical classification when the users select the desired site, while maintaining the existing site's characteristics and structure as it is. This study's proposed methodology needs to be further complemented in the following aspects. First, though only an indirect comparison and evaluation was made on the performance of this proposed methodology, future studies would need to conduct more direct tests on its accuracy. That is, after re-classifying documents of the object source on the basis of the categorical system of the existing source, the extent to which the classification was accurate needs to be verified through evaluation by actual users. In addition, the accuracy in classification needs to be increased by making the methodology more sophisticated. Furthermore, an understanding is required that the characteristics of some categories that showed a rather higher classifying accuracy of heterogeneous semi-supervised learning than that of supervised learning might assist in obtaining heterogeneous documents from diverse mediums and seeking plans that enhance the accuracy of document classification through its usage.

• Journal of Korean Academy of Nursing
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• v.23 no.3
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• pp.377-398
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• 1993

A survey of infant practices was conducted to provide information on which to base planned nursing interventions. The subjects were a convenience sample of 168 mothers visiting out - patients departments of five general hospitals and one public health center in Seoul for immunizations or treatment for common colds for their infants from two to 12 months of age. Data collection was carried out from July 8th to September 30th, 1991 using a questionnaire of 84 questions, 31 on the type of feeding, 22 on supplementary feeding and 21 on demographic infer mation. The results are summarized as follows : 1) The type of feeding was primarily artificial feed-ing (63.1%), followed by mixed feeding (22%) and breast feeding (14.9%) of the 59 mothers expecting during pregnancy to breast feed, 54. 2% changed artificial feeding and 30.5% went on to breast feed as they had expected. For mothers expecting to continue breast feeding over seven months. only one infant was being breast fed for over seven months. 2) For the 106 mothers using artificial feeding, 70. 8% hed attempted breast feeding, 64% of them for less than a month. Breast milk had been suppressed by for medication (38.7%) : 34.9% had used no specia] means. 3) The major reasons for replacing breast feeding with artificial feeding were the infants' demand for more milk (47.2% ) and insufficient supply of breast milk (49.3％). 4) Most mixed feeding was started at the age of one to three months (59.5%). Only 34.4% gave an artificial feeding after breast feeding : most (46%) alternated breast feeding with artificial feeding. On the whole, the motive for mixed feeding was the lack of breast milk (70.3%). 5) Many mothers (81.8%) were adding vitamin or mineral supplements to artificial milk and 51.5% were adding something to faciliate digestion. As for the method of sterilizing milk bottles and nipples, 56% had sterilized them together in boiling water from the beginning : 27% were just washing the bottles after boiling only once initially when measuring artificial milk powder, 31. 5% of the mothers over filled the measuring spoon rather than to the level. 6) The mother's occupation was related to her way of feeding. Mothers at home full time did more breast feeding than mothers employed outside the home. (x²=5.72, p=〈0.05). 7) Most mothers began supplementary food, from three to four months (48.8%) : 11.2% began later than seven months. Supplementary food was given between milk feedings by 67.2% of the mothers : 19.2% gave it before a milk feeding. Some mothers(26.4%) made their own supplementary food : 19.2% used ready - made supplementary food products for convenience. Recommendations for nursing interventions included : 1. Prenatal education about the advantages of breast feeding and breast care, and home visits after delivery for counselling related to breast feeding. Correct preparation of artificial feeding methods need to be taught in both pre & postnatal periods. In addition, specific education about supplementary feeding needed. 2. Further research is indicated about the Perceived lack of supply of breast milk and about the effectiveness of nursing interventions to Promote breast feeding.

• Spatial Information Research
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• v.23 no.1
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• pp.59-68
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• 2015

As part of an effort to leap smart cadastre system by doing rearrangement of various mismatches in the land register, the cadastre renovation project is being recently conducted. In response to this demand, this paper proposes an image-based rapid parcel boundary demarcation plan using the high resolution aerial image with a GSD (Ground Sample Distance) of 5cm that matches to real ground boundary situation in residential area. To review the feasibility and accuracy of this proposed methodology, we compared the accuracy of parcel boundary point and parcel area extracted from the digital stereo plotting on the basis of results of cadastral boundary surveying and land register over the selected two test areas. The comparative accuracy result of all boundary points by digital stereo plotting is satisfied with accuracy requirement according to the criteria of the enforcement regulation of cadastral surveying, whereas it exceeded allowable error of ${\pm}0.07m$, more strictly specified in the Special Act on Cadastral Renovation. And about 20% of the total 70 parcels extracted by digital plotting are out of area tolerance in Jecheon study area, and 10% of the total 19 parcels in Suwon study area. The parcels exceeding accuracy limit are mostly due to the occlusion caused by building roof or eaves, and the obstacles such as trees existing on the boundary. Furthermore, an object identification is impossible in image because of vague boundary reference in case of nonexistence of man-made structures or natural features. Therefore, the utilization of boundary identification stickers is recommended as a solution for these types of land parcel.

• Journal of KIISE:Information Networking
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• v.34 no.3
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• pp.218-225
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• 2007

As the research on home network technologies, sensor network technologies, and ubiquitous network technologies makes rapid progresses, wireless ad-hoc network have attracted a lot of attention. A wireless mobile ad-hoc network is a temporary network formed by a collection of wireless mobile nodes without the aid of any existing network infrastructure or centralized administration, and it is suitable for ubiquitous computing environments. In this paper, we suggest an extension scheme of a wireless mobile ad-hoc network based on limited multiple paths source routing protocol. This scheme reduces the overhead of route re-establishment and re-registration by maintaining link/node non-disjoint multiple paths between mobile hosts in a wireless mobile ad-hoc network or a mobile host in a wireless mobile ad-hoc network and a base station supporting fixed network services. By maintaining multiple paths, our scheme provides short end-to-end delay and is reliable extension scheme of a wireless mobile ad-hoc network to a fixed network. In this paper, our simulations show that our scheme outperforms existing schemes with regards to throughput and end-to-end delay. Also we show that our scheme outperforms multi-paths approach using disjoint routes with regards to routing overhead.

• Journal of the Korea Society of Computer and Information
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• v.17 no.1
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• pp.211-218
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• 2012

Fossil fuel is used all over the world and it produces greenhouse gases due to fossil fuel use. Therefore, it cause global warming and is serious environmental pollution. In order to decrease the environmental pollution, we should use renewable energy which is clean energy. Among several renewable energy, wind energy is the most promising one. Wind power generation is does not produce environmental pollution and could not be exhausted. However, due to wind power generation has irregular power output, it is important to predict generated electrical energy accurately for smoothing wind energy supply. There, we consider use ramp characteristic to forecast accurate wind power output. The ramp increase and decrease rapidly wind power generation during in a short time. Therefore, it can cause problem of unbalanced power supply and demand and get damaged wind turbine. In this paper, we make prediction models using power ramp rate as well as wind speed and wind direction to increase prediction accuracy. Prediction model construction algorithm used multilayer neural network. We built four prediction models with PRR, wind speed, and wind direction and then evaluated performance of prediction models. The predicted values, which is prediction model with all of attribute, is nearly to the observed values. Therefore, if we use PRR attribute, we can increase prediction accuracy of wind power generation.