• The Journal of the Korea Contents Association
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• v.18 no.11
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• pp.655-664
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• 2018

Retina transforms the external light into electrical signal that stimulates visual cortex of the brain. Electrical modeling of the retina is useful to understand its structure and action that is a prerequisite to implement the retina as a hardware device. This paper introduces a 2-D electrical network model of vertebrate's retina considering signal pathway of retinal cells and synapses. We implemented a simulator of the retina based on the electrical network model to analyze its operation under various circumstances. Compared to the prior studies, It might contribute designing of artificial retina device in terms of that this study specifically observed input and output reactions of each cell and synapse node under various light intensity on the retina.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.2
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• pp.417-437
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• 2022

The quality of the fuzzing seed file is one of the important factors to discover vulnerabilities faster. Although the prior seed generation paradigm, using dynamic taint analysis and symbolic execution techniques, enhanced fuzzing efficiency, the yare not extensively applied owing to their high complexity and need for expertise. This study proposed the DDRFuzz system, which creates seed files based on sequence-to-sequence models. We evaluated DDRFuzz on five open-source applications that used multimedia input files. Following experimental results, DDRFuzz showed the best performance compared with the state-of-the-art studies in terms of fuzzing efficiency.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.243-255
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• 2020

The purpose of this study is to present the factors that affect business model and product innovation on the enterprise performance of the mobile ecosystem, and to confirm the results of whether they have an effect. To this end, through prior research, business model factors and product innovation factors were defined in the mobile ecosystem that was the mother of the 4th industry, and a hypothesis that each factor will affect corporate performance was established. Through the exploratory surveys and interviews, the value proposition of the business model proved to have a positive (+) effect on the financial and non-disaster performance of the company, and the innovation was proved to have a positive (+) effect on the non-financial performance of the company. It was analyzed that the price competitiveness of product innovation had a positive (+) effect on the financial factors of a company, and the initial market entry had a positive (+) effect on the non-financial factors. With this study, we propose the criteria for reviewing the performance of companies that are rapidly competing in the 4th industrial revolution in terms of business model and product innovation.

• 한국벤처창업학회:학술대회논문집
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• 2009.10a
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• pp.51-78
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• 2009

Nowaday, management of research and development(R&D) projects is focused on promotion of performance-centric R&D by market and customer-oriented R&D and commercialization, and this tendency is also appeared in national R&D projects. For the commercialization of R&D outcomes, market demand-centric R&D, establishment of commercialization plan in R&D planning and carrying out phase, and communication with external stakeholders are needed, and these activities can be performed more effectively by developing business model. However, systematical procedure for developing business model in national R&D environment haven't suggested by prior researches. Therefore, we propose a business model development system that is reflect characteristics of national R&D environment and perspectives of technology researchers and commercialization experts. Research result is expected to be usefully applied as a guideline for developing business model in national R&D projects.

• Journal of Internet Computing and Services
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• v.7 no.1
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• pp.121-130
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• 2006

In next generation wireless networks, an application must be capable of rating service information in real-time and prior to initiation of the service it is necessary to check whether the end user's account provides coverage for the requested service. However, to provide prepaid services effectively, credit-control should have minimal latency. In an endeavor to support real-time credit-control for Mobile IPv6 (MIPv6), we design an implementation architecture model of credit-control authorization. The proposed integrated model combines a typical credit-control authorization procedure into the MIPv6 authentication procedure. We implement it on a single server for minimal latency. Thus, the server can perform credit-control authorization and MIPv6 authentication simultaneously. Implementation details are described as software blocks and units. In order to verify the feasibility of the proposed model. latency of credit-control authorization is measured according to various Extensible Authentication Protocol (EAP) authentication mechanisms. The performance results indicate that the proposed approach has considerably low latency compared with the existing separated models, in which credit-control authorization is separated from the MIPv6 authentication.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.43-54
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• 2024

Recently, there has been a lot of research on utilizing Language Models, and Large Language Models have achieved innovative results in various tasks. However, the practical application faces limitations due to the constrained resources and costs required to utilize Large Language Models. Consequently, there has been recent attention towards methods to effectively utilize models within given resources. Curriculum Learning, a methodology that categorizes training data according to difficulty and learns sequentially, has been attracting attention, but it has the limitation that the method of measuring difficulty is complex or not universal. Therefore, in this study, we propose a methodology based on data heterogeneity-based Curriculum Learning that measures the difficulty of data using reliable prior information and facilitates easy utilization across various tasks. To evaluate the performance of the proposed methodology, experiments were conducted using 5,000 specialized documents in the field of information communication technology and 4,917 documents in the field of healthcare. The results confirm that the proposed methodology outperforms traditional fine-tuning in terms of classification accuracy in both LoRA fine-tuning and full fine-tuning.

• Korean Journal of Food Science and Technology
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• v.29 no.2
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• pp.292-301
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• 1997

In drying process, to minimize the quality degradation by improved drying process and pretreatment methods, carrots, cabbages and radishes were dried and rehydrated. Physico-chemical properties of product were analyzed to determine the optimum pretreatment method and drying models were applied to explain drying mechanisms. Microwave, steam and water were used prior to drying as blanching method. In consideration of physical properties, optimum treatment time was decided that microwave was 1 min, steam and water were each 10 min. Control, steam, water, microwave and osmotic dehydration were treated prior to drying as pretreatment individually, osmotic dehydration was lower than the other treatmemt in drying efficiency, but carotene content was higher than the others. The effect continued after rehydration. Ten panelists tested dried and rehydrated carrots. After rehydration, the quality of air dried product with osmotic dehydration was superior to freeze dried without treatment. The fittness of drying models were conducted in order to explain the mechanism of drying each process. Quadratic model was most fittable to explain during drying. However, in rehydration process, no fittable model was found.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.83-98
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• 2021

This study identified the influence of employees' hybrid start-up intention (intention to start a business while maintaining a job) on the employees' self-determination motivation (intrinsic motivation, extrinsic motivation) and prior knowledge through the Model of Goal-directed Behavior (MGB). We used a PLS-SEM called SmartPLS 3.0 for 126 valid samples collected by judgement extraction for office workers throughout June 13, 2020 to July 3, 2020, and empirically evaluated the measurement model (internal consistency reliability, convergent and discriminant validity) and the structural model (multicollinearity, determination coefficient, effect size, predictive relevance, etc.). Only the intrinsic motivation for realizing the hybrid start-up goal of office workers had a significant impact on the hybrid start-up attitude and subjective norms, and the prior knowledge of hybrid start-up had a significant impact on the hybrid start-up desire and the hybrid start-up intention. In order to induce hybrid start-ups for workers with unstable employment, we need systems and programs that can inspire employees with intrinsic motivation and knowledge about hybrid start-up, so follow-up researches are necessary to analyze about government systems and consulting support that can promote hybrid start-up.

• Information Systems Review
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• v.22 no.1
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• pp.17-31
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• 2020

With the start of the fourth industrial revolution era, technologies of various fields are merged and new types of technologies and products are being developed. In addition, the importance of the registration of intellectual property rights and patent registration to gain market dominance of them is increasing in oversea as well as in domestic. Accordingly, the number of patents to be processed per examiner is increasing every year, so time and cost for prior art research are increasing. Therefore, a number of researches have been carried out to reduce examination time and cost for patent-pending technology. This paper proposes a method to calculate the degree of similarity among patent documents of the same priority claim when a plurality of patent rights priority claims are filed and to provide them to the examiner and the patent applicant. To this end, we preprocessed the data of the existing irregular patent documents, used Word2vec to obtain similarity between patent documents, and then proposed recommendation model that recommends a similar patent document in descending order of score. This makes it possible to promptly refer to the examination history of patent documents judged to be similar at the time of examination by the examiner, thereby reducing the burden of work and enabling efficient search in the applicant's prior art research. We expect it will contribute greatly.

• Journal of the Korean Society for information Management
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• v.32 no.4
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• pp.55-76
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• 2015

The prior studies on the practical lawyer's information seeking behaviors, including Leckie et al. (1996) model showed that role of the work and nature of the work in attorney's practices had an significant influence on the attorney's information seeking behaviors. This study now asks if these prior analyses can be applicable to attorneys' practices nowadays. This study performed surveys and interviews with 21 practical attorneys in korea who were grouped by their experience period and the size of law firms. This study concludes that role of the work in Leckie et al. model still affects the attorneys' information seeking behaviors today and moreover, the attorney's experience and the size of law firms as variables also have made an impact on attorney's behaviors so far. By the way, this study further finds that the attorneys prefer the digital information in online database and formal information like statutes or case laws. These results are definitely different from them of the prior studies. In addition, this study suggests that the behavior such as meaningful using of the informal information in difficulties with improper information can be kinds of the attorney's information seeking behaviors.