• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.238-246
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• 2021

The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.

• Smart Media Journal
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• v.7 no.4
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• pp.106-113
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• 2018

Brand identity (BI) is a key asset that affects consumers' psychological cognition of products and services. In the initial planning stage of the BI design development for a company, a unique approach strategy is required. In the final evaluation stage, a reasonable design evaluation method involving potential consumers needs to be prepared. However, conventional brand identity design evaluation processes tend to depend on the results of surveys, and in many cases it is impossible to be free from the distorting phenomenon of survey respondents' psychological manifestation which is often revealed in the process of the surveys. In this context, this research has explored whether the method of utilizing EEG data of the subjects along with the conventional survey method of preference could be helpful in the process of evaluating the brand identity design. To achieve that, we correlated the subject's preference survey results with the subject's EEG data. 'Attractiveness' and 'concentration' were used as variables. As a result, it was found that there was a high correlation between the results of preference survey on 'attractiveness' and the results of 'EEG' on 'concentration'. Therefore, in addition to the existing conventional qualitative evaluation methods, we confirmed that design evaluation methods using EEG are useful for evaluating tacit knowledge objects such as the BI design.

• Smart Media Journal
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• v.10 no.1
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• pp.99-107
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• 2021

In addition to the 4th Industrial Revolution and Industry 4.0, the recent megatrends in the ICT field are Big-data, IoT, Cloud Computing, and Artificial Intelligence. Therefore, rapid digital transformation according to the convergence of various industrial areas and ICT fields is an ongoing trend that is due to the development of technology of AI services suitable for the era of the 4th industrial revolution and the development of subdivided technologies such as (Business Intelligence), IA (Intelligent Analytics, BI + AI), AIoT (Artificial Intelligence of Things), AIOPS (Artificial Intelligence for IT Operations), and RPA 2.0 (Robotic Process Automation + AI). This study aims to integrate and advance various machine learning services of infrastructure-side GPU, CDA (Connected Data Architecture) framework, and AI based on mass distributed Abyss storage in accordance with these technical situations. Also, we want to utilize AI business revenue model in various industries.

• The Korean Journal of Mycology
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• v.39 no.1
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• pp.39-43
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• 2011

A new cultivar "Dan Bi" of Pleurotus eryngii was developed by the method of mono-mono crossing between monokaryotic strains derived from KNR2312 and KNR2596. The parental strains, KNR2312 and KNR2596, are characterized by the property of high quality and a small number of primordia formation, respectively. The optimum temperature of mycelial growth was 25 and that of fruiting body development was $15{\sim}16^{\circ}C$. The period of harvesting including primordia formation was 0.7~1.3 days later than that of control strain Knneutari No. 3 in the culling cultivation. The color of pileus and stipe surface was neutral-brown and pure white, respectively. The shape of pileus was dome and has a scale like as cobweb. The yield was $93{\pm}9.7$ g per 850 cc of plastic bottle. Analysis of the genetic characteristics of the new commercial variety "Dan Bi" showed a different profile as that of the control strain, Knneutari No. 3, when RAPD (Random Amplified Polymorphic DNA) primer #8005 was used. This new variety "Dan Bi" of Pleurotus eryngii is characterized by a small number of primordia formation after scratching.

• Archives of design research
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• v.19 no.5 s.67
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• pp.223-232
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• 2006

This is a study related to CI and BI, focusing on the change of an organization: a corporation. The organization of a corporation, in order to achieve the goal of an organization, get the injection(labor, technology, resources) and send it out to society by transforming them into a form of products(goods and services). While this production means the organization plays a social part for the accomplishment of a goal of the society, it indicates the society exerts influence on the process of setting the goal of an organization. On the other hand, a society influences the existence of a corporation through need and change directly or indirectly and in order to adjust to this, a corporation adapt the form of the organization to the need and change of a society. This study presents the causes of change from CI to BI according to the organizational changes of a corporation and theoretical basis through Elbin Toefler's "The Adaptive Corporation".

• Genomics & Informatics
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• v.11 no.4
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• pp.186-190
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• 2013

The advances in electronic medical records (EMRs) and bioinformatics (BI) represent two significant trends in healthcare. The widespread adoption of EMR systems and the completion of the Human Genome Project developed the technologies for data acquisition, analysis, and visualization in two different domains. The massive amount of data from both clinical and biology domains is expected to provide personalized, preventive, and predictive healthcare services in the near future. The integrated use of EMR and BI data needs to consider four key informatics areas: data modeling, analytics, standardization, and privacy. Bioclinical data warehouses integrating heterogeneous patient-related clinical or omics data should be considered. The representative standardization effort by the Clinical Bioinformatics Ontology (CBO) aims to provide uniquely identified concepts to include molecular pathology terminologies. Since individual genome data are easily used to predict current and future health status, different safeguards to ensure confidentiality should be considered. In this paper, we focused on the informatics aspects of integrating the EMR community and BI community by identifying opportunities, challenges, and approaches to provide the best possible care service for our patients and the population.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.419-422
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• 2004

기업간 전자상거래가 협업 모델을 통해 확산되는 가운데, 국제 표준으로 제정된 ebXML과 민간 컨소시엄 주도로 진행되고 있는 웹서비스는 협업 B2B 부문의 대안으로 강력히 부상하고 있다. 일반 기업 및 사용자들은 시스템을 도입함에 있어 비용 대비 효과라는 측면과 기간 시스템과의 연동이라는 아키텍쳐 측면에서의 고려가 다 필요한 만큼 두개의 B2B 프레임웍을 다각도로 비교/분석해 보는 것은 의미가 있는 일이라 하겠다. 본고에서는 업무 프로세스의 정의 방법, 표준 데이터 구성방안, 서비스 등의 측면에서 양 프레임웍을 비교해 보고 장단점과 한계점을 짚어 보며 향후 B2B 프레임웍이 나아가야 할 방향에 대해 고찰해 보고자 한다.

• FLOWER RESEARCH JOURNAL
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• v.19 no.3
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• pp.172-176
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• 2011

A new spray chrysanthemum (Dendranthema grandiflorum) cultivar, 'Magic Yellow' was developed from a cross between 'Artist pink' and 'S03-47' by selection of seedlings and lines at the Flower Research Institute, Gyeongnam Agricultural Research and Extension Services (ARES) from 2003 to 2008. Its characteristics were investigated three times from 2006 to 2008 under condition of forcing culture in spring and retarding culture in autumn. The natural flowering time of 'Magic Yellow' was October 18th, and year-round production was possible by day length treatment. This cultivar has single-type flowers in good harmony with bi-color ray floret and green center. Its flower was 6.0 cm in diameter, and it had 11.4 flowers per stem in autumn. The days to flowering under the short day treatment is about 45 days in spring season, and 'Magic Yellow' showed the vase life of 22.9 days in autumn. This cultivar was registered for the protection in 2008.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.17 no.7 s.110
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• pp.665-672
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• 2006

In this paper, we propose and fabricate the dual-band microstrip patch antenna with parasitic patch for S-DMB(Satellite-Digital Multimedia Broadcasting) and ITS (Intelligent Transport System) services. The measured - 10 dB bandwidth and the minimum return loss is 300 MHz and - 27 dB for S-DMB, 600 MHz and -17 dB for ITS, respectively. It is noticed that the measured and simulated results are agreed well. The S-DMB antenna has conical beam pattern in the vertical plane and has omni-directional beam pattern in the horizontal plane. The conical beam pattern has the maximum gain about 4.2 dBi when ${\theta}$ is $45^{\circ}$ at the center frequency of 2.6 GHz. The ITS antenna has directional beam pattern in the vertical plane that has maximum gain about 6.4 dBi when ${\theta}$ is $0^{\circ}$ at the center frequency of 5.8 GHz.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.22 no.7
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• pp.737-743
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• 2011

In this paper, we designed and implemented a Monopole+IFA(Inverted F Antenna) hybrid antenna using the coupled feeding structure for the all band mobile phone. Studied antenna has wide band characteristics by the simultaneous operation both monopole and IFA under the coupled feeding structure. An antenna has designed PCB embedded type without antenna carrier component for the low in cost. Implemented antenna has within 2.5:1 for VSWR under LTE/CDMA/GSM900/DCS/USPCS/WCDMA/WiBro/WiFi in all band for the mobile services Measured average gains and efficiencies were -3.98~-0.09 dBi and 40.03~97.99 % for the LTE, CDMA, GSM900 band, and -3.90~-1.01 dBi and 40.70~79.31 % for the DCS, USPCS, WCDMA, WiBro, WiFi band. It's shown that studied antenna can be applied to all band mobile phone antenna including LTE.