• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.33-39
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• 2020

In the field of Natural Language Processing, Various research such as Translation, POS Tagging, Q&A, and Sentiment Analysis are globally being carried out. Sentiment Analysis shows high classification performance for English single-domain datasets by pretrained sentence embedding models. In this thesis, the classification performance is compared by Korean E-commerce online dataset with various domain attributes and 6 Neural-Net models are built as BOW (Bag Of Word), LSTM[1], Attention, CNN[2], ELMo[3], and BERT(KoBERT)[4]. It has been confirmed that the performance of pretrained sentence embedding models are higher than word embedding models. In addition, practical Neural-Net model composition is proposed after comparing classification performance on dataset with 17 categories. Furthermore, the way of compressing sentence embedding model is mentioned as future work, considering inference time against model capacity on real-time service.

• Journal of Navigation and Port Research
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• v.33 no.8
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• pp.531-537
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• 2009

As the Port State Control Inspection recognized that almost marine casualties are caused by human faults rather than vessel's defaults, it has put more emphasis on the qualification of ships' crew and the education required. Accordingly, for shipping companies it is an urgent task to operate effective crew education system that can meet the standards of international agreements and domestic laws. Therefore, this study aims at deriving the attitude of crews of 'S' shipping company on the education and some implication for the effective crew education systems. For this questionnaire survey has been carried out and the data analysed by the respondent groups.

• Journal of Information Technology Services
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• v.15 no.1
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• pp.227-243
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• 2016

In order to maximize profitability by optimizing the entire supply chain process, enterprises have made efforts to apply IT technologies such as POS, MES, and TMS. In addition, academic societies have also made efforts to verify the effects of IT technology introduction through various researches. However, until now, there is almost no research that analyzes the relationship between the IoT, a new IT technology, and the SCM. To study the effect of IoT technology on SCM, this study conducted professional Delphi surveys for three times. Through this method, this study analyzed changes that will be caused by the IoT technology, the priority area in IoT introduction, and the expected difficulty in IoT introduction on SCM. As a result of the Delphi surveys and analyses, it was expected that when IoT technology is introduced, the level of SCM's IT use and partnership will increase. However, the effect of the increased performance of the supply chain, which includes inventory management and quality control, will become weaker. The reason is that the development of operation and management skills, as well as the improvement of IT technology, are also important elements for the performance improvement of the supply chain. As for the priority area in IoT introduction, it was expected that the effect will be greater when IoT is introduced in customer service, transportation, and delivery areas. As difficulties in IoT technology introduction, such as the shortage of IoT platform development personnel, standardization, integration with the existing system, securing professional manpower, expenses, data management, and operation, were derived, it has thus become necessary for us to exert greater efforts in order to come up with solutions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.4
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• pp.183-190
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• 2017

This paper proposes a dynamic magnetic field emulator (DMFE), which can electrically emulate information for the magnetic stripes of most widely used credit cards. Payment transactions with most common credit cards are performed by reading the card's information, encoded in magnetic stripes, using the reader head of a point-of-sale (POS) system. A stripe-type permanent magnet is attached to the back side of the credit card, and information for payments or value-added service is reorganized by exposing it to strong magnetic field. The process of data recording and retrieving as stated above has been pointed out as a major cause of illegal credit card use, because the information on the magnetic stripe is always exposed, and is thus vulnerable to forgery or alteration. A dynamic magnetic field emulator displays card information only when necessary by using the principle of solenoidal magnets. The DMFE proposed in this paper can prevent fraudulent use if it is operated with a device, like a smart phone, or a separate user-authentication procedure. In addition, because it is possible to display various information as needed, it can be utilized for a smart multi-card application, in which information for multiple cards is stored in one card, and can be selected and used as needed. This paper introduces the necessity of the DMFE and its manufacturing principles. As a result, this study will be helpful for making various application cases in payment, which is a core area of the Fintech (a newly-coined word of finance and technology) industry.

• The Journal of the Acoustical Society of Korea
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• v.21 no.4
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• pp.407-414
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• 2002

In this paper, we present a method that automatically generates concatenate morpheme based language models to improve the performance of Korean large vocabulary continuous speech recognition. The focus was brought into improvement against recognition errors of monosyllable morphemes that occupy 54% of the training text corpus and more frequently mis-recognized. Knowledge-based method using POS patterns has disadvantages such as the difficulty in making rules and producing many low frequency concatenate morphemes. Proposed method automatically selects morpheme-pairs from training text data based on measures such as frequency, mutual information, and unigram log likelihood. Experiment was performed using 7M-morpheme text corpus and 20K-morpheme lexicon. The frequency measure with constraint on the number of morphemes used for concatenation produces the best result of reducing monosyllables from 54% to 30%, bigram perplexity from 117.9 to 97.3. and MER from 21.3% to 17.6%.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.319-328
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• 2013

Software maintainers try to comprehend software source code by intensively using source code identifiers. Thus, use of inconsistent identifiers throughout entire source code causes to increase cost of software maintenance. Although participants can adopt peer reviews to handle this problem, it might be impossible to go through entire source code if the volume of code is huge. This paper introduces an approach to automatically detecting inconsistent identifiers of Java source code. This approach consists of tokenizing and POS tagging all identifiers in the source code, classifying syntactic and semantic similar terms, and finally detecting inconsistent identifiers by applying proposed rules. In addition, we have developed tool support, named CodeAmigo, to support the proposed approach. We applied it to two popular Java based open source projects in order to show feasibility of the approach by computing precision.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.3
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• pp.577-585
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• 2004

System Packet Interface Level 4 Phase(SPI-4.2) is an interface for packet and cell transfer between a physical layer(PHY) device and a link layer device, for aggregate bandwidths of OC-192 ATM and Packet Over Sonet/SDH(POS), as well as 10Gbps Ethernet applications. In this paper, we performs the research for SPI-4.2. Also we analyze the performance of SPI-4.2 interface module after modeling using C programming language. This paper shows that SPI-4.2 interface module with 512-word FIFO depth is able to be adapted for the offered loads to 97％ in random uniform traffic and 94％ in bursty traffic with bursty length 32. SPI-4.2 interface module can experience an performance degradation due to heavy overhead when it massively receives small size packets less than 14-byte. SPI-4.2 interface module is suited for line cards in gigabit/terabit routers, and optical cross-connect switches, and SONET/SDH-based transmission systems.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1031-1036
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• 2020

Untact marketing emerged as one of the top 10 marketing in 2018. Since then, the scale of the mobile payment market has expanded, and the ratio of payment through mobile is melting into life even offline. Various mobile apps such as Samsung Pay and Smart Order are already popular systems, and various other mobile payment systems are increasing. For such mobile payments, this paper aims to comprehensively design a general-purpose untouched offline payment system by designing a mobile payment system that applies a short-range wireless communication method along with a study on the currently available mobile payment-linked API. We propose an offline payment system with an untouch method to prevent the spread of infectious diseases and contribute to a healthy society by solving the problem and minimizing contact with others in the current situation like the Corona 19 Incident.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.147-157
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• 2023

Purpose : Stroke patients exhibit considerable variations in gait patterns. Stroke patients generally show abnormal muscle tone and gait. This study was performed to evaluate the effects of treadmill gait training combined with muscle tone control technique (TM) on gait ability in patient with chronic stroke. Methods : A single-blind, randomized controlled trial was conducted with 36 patient with chronic stroke. They were randomly allocated 2 groups; treadmill gait training combined with muscle tone control technique group (TM group; n=18) and conservative treatment group (CG group; n=18). The TM group received 15 minutes muscle tone control technique and 15 minute treadmill gait training. In the conservative treatment group received 30 minutes conservative physical therapy. Each group performed 30 minutes a day 3 times a week for 8 weeks. The primary outcome gait ability were measured by gait measurement system (Optogait, Microgate, Italy) and 10 m walking test (10MWT). An independent t-test was used to statistically analyze the pre-test and pos-ttest gait ability results. Results : Both groups demonstrated significant improvement of outcome in gait ability during intervention period. TM group showed significant differences in gait ability as compared to the CG groups (p<.05). TM group showed significant differences in 10MWT as compared to the CG groups (p<.05). Our results showed that TM was more effective on gait ability in patients with chronic stroke. Conclusion : Our findings of this study confirmed that the treadmill gait training combined with muscle tone control technique provided significant improvements on gait ability in patient with chronic stroke. Therefore treadmill gait training combined with muscle tone control technique may positive influenced gait ability. This study will be able to be used as an intervention data for recovering gait ability in patients with chronic stroke.

• Asia Marketing Journal
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• v.20 no.3
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• pp.83-103
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• 2018

The purpose of this research is to investigate the effect of customer-contact employees support on service recovery efforts. Service companies should try to prevent the service failure situation from occurring, but it is realistic that the service failure occurs due to the characteristics of the service. Service recovery efforts of service providers are important because effective responses to service failures can enhance customer satisfaction despite service failures. Social support for customer-contact employees needs to improve service recovery efforts. Specifically, this study focuses on the mediation roles of job burnout and customer orientation in relationship between social support for customer-contact employees and service recovery efforts. Social exchange theory was used as the theoretical underpinning of the research model. Based on reciprocity principle, this paper suppose that support for customer-contact employees and service recovery effort are a kind of social exchange relationship. Social supports for customer-contact employees are categorized into internal and external organization. Internal organization is POS(perceived organizational support) and external organization is customer support. The research model was tested with the data gathered from the flight attendants whose emotional labor intensity was relatively high and the service failure frequently occurred. As a result of analysis, social supports for customer-contact employees classified into organizational support, supervisor support, and customer support are found to have differential impacts on job burnout and customer orientation. It has been found that job burnout of service providers is negatively affecting service recovery efforts. On the other hand, customer orientation of service providers has a positive influence on service recovery efforts. Based on the results of the analysis, we provide practical implications for effective service recovery efforts in service failure situations, and suggest the theoretical implications to explain the process of service recovery effort. Finally, limitations of the study and directions for future research are suggested.