• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.553-564
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• 2014

In this paper, we propose the system for automatic generation of issue analysis report based on social big data mining, with the purpose of resolving three problems of the previous technologies in a social media analysis and analytic report generation. Three problems are the isolation of analysis, the subjectivity of experts and the closure of information attributable to a high price. The system is comprised of the natural language query analysis, the issue analysis, the social big data analysis, the social big data correlation analysis and the automatic report generation. For the evaluation of report usefulness, we used a Likert scale and made two experts of big data analysis evaluate. The result shows that the quality of report is comparatively useful and reliable. Because of a low price of the report generation, the correlation analysis of social big data and the objectivity of social big data analysis, the proposed system will lead us to the popularization of social big data analysis.

• Journal of Information Processing Systems
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• v.2 no.3 s.4
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• pp.189-193
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• 2006

In this study we propose an automatic reading system for diagnostic DNA chips. We define a general specification for an automatic reading system and propose a possible implementation method. The proposed system performs the whole reading process automatically without any user intervention, covering image acquisition, image analysis, and report generation. We applied the system for the automatic report generation of a commercialized DNA chip for cervical cancer detection. The fluorescence image of the hybridization result was acquired with a $GenePix^{TM}$ scanner using its library running in HTML pages. The processing of the acquired image and the report generation were executed by a component object module programmed with Microsoft Visual C++ 6.0. To generate the report document, we made an HWP 2002 document template with marker strings that were supposed to be searched and replaced with the corresponding information such as patient information and diagnosis results. The proposed system generates the report document by reading the template and changing the marker strings with the resultant contents. The system is expected to facilitate the usage of a diagnostic DNA chip for mass screening by the automation of a conventional manual reading process, shortening its processing time, and quantifying the reading criteria.

• Proceedings of the Korea Information Processing Society Conference
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• 2024.05a
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• pp.753-756
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• 2024

This study integrates Rivet and Retrieved Augmented Generation (RAG) technologies to enhance automated report generation, addressing the challenges of large-scale data management. We introduce novel algorithms, such as Dynamic Data Synchronization and Contextual Compression, expected to improve report generation speed by 40% and accuracy by 25%. The application, demonstrated through a model corporate entity, "Company L," shows how such integrations can enhance business intelligence. Empirical validations planned will utilize metrics like precision, recall, and BLEU to substantiate the improvements, setting new benchmarks for the industry. This research highlights the potential of advanced technologies in transforming corporate data processes.

• Journal of Physiology & Pathology in Korean Medicine
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• v.20 no.2
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• pp.477-481
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• 2006

A clinical report indicates that 'Geijibokryunghwan(GBH) is very effective in treating thrombosis in those patients who have difficulties with more conventional antithrombotic drugs. The isolation and identification of various compounds from this plant and the same genus have been reported by several groups. However, the pharmaceutical effect of the GBH on superoxide generation in human neutrophils has not been studied. In the present report, we investigated the possibility of using herbal medicine as an alternative therapy. In particular, we studied tremor in antiatheroscleosis. In this report, we shows the GBH extract can be used as a potential atherosclerosis preventive agent in human. The effect of GBH on stimulus-induced superoxide generation and phosphorylation of tyrosine residues of protein in human neutrophils was investigated. In a conclusion, GBH suppressed tyrosine phosphorylase in a dose-dependent manner, and may have pharmacoceutical applications. These data suggest that GBH extracts merits investigation as a potential anti-atherosclerogenic agent in humans.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2768-2787
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• 2023

As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.6
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• pp.842-849
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• 2018

This research suggests the development of simulator for a Simulation Test of a moving object's path generation and following. There are many kinds of moving objects in weapon systems, such as vehicles, missiles, robots and so on. So need tests of moving simulations during development process of weapon systems. To simulate a moving object, need an flexible path. So this report suggests a $B\acute{e}zier$ curve algorithm for generation of smooth curve path. And when new developments of weapon systems are started, many kinds of simulators are created. But, these simulators are not reused in other project because there are different kinds of development environment. So need to allow users to add specific features, And this report suggests using Dynamic Link Library(DLL).

• International Journal of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.45-50
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• 2020

A Language model with neural networks commonly trained with likelihood loss. Such that the model can learn the sequence of human text. State-of-the-art results achieved in various language generation tasks, e.g., text summarization, dialogue response generation, and text generation, by utilizing the language model's next token output probabilities. Monotonous and boring outputs are a well-known problem of this model, yet only a few solutions proposed to address this problem. Several decoding techniques proposed to suppress repetitive tokens. Unlikelihood training approached this problem by penalizing candidate tokens probabilities if the tokens already seen in previous steps. While the method successfully showed a less repetitive generated token, the method has a large memory consumption because of the training need a big vocabulary size. We effectively reduced memory footprint by encoding words as sequences of subword units. Finally, we report competitive results with token level unlikelihood training in several automatic evaluations compared to the previous work.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.131-141
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• 1993

This paper describes the development of SIMS. SIMS provides not only the basic functions, such as input and output of outside plant maps and facility status statistics report, which are the major function of TOMS, but also can manage outside plant facilities and subscriber information integrately to maximize the efficiency of large outside plant facility database and to increase the qualify of subscriber service. SIMS provides following functions: Work order generation for telephone installation; Automatic cable pair assignment; Cable tracing and unused pair management; Subscriber record management and statistics report generation; Subscriber address information management.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.13 no.3
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• pp.40-47
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• 1999

We have established a pulsed low-energy large-aIXTture electron beam(LELAEB) generation system with an energy of 2OO[keV], current of 1[A], pulse repetition rate of 200[Hz], and several tens of ${\mu}s$ pulse width. The system is characterized by a cold cathode that is simpler than the hot cathode. Electron beam does not need to be scanned over target objects because of large beam aIXTture of $300[\textrm{cm}^2]$. Electron source is secondary electrons that are generated when the ions from the glow discharge collide on the cathode surface. In this paper, We report about the design and manufacture of LELAEB generation system based on the theoretical analysis in order to study lXlssibility of increasing the efficiency of IELAEB accelerator. We also report on the possibility of large aperture beam current generation and the current density uniformity based on the experiIrental results.esults.

• Proceedings of the PSK Conference
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• 2002.10a
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• pp.297.2-297.2
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• 2002

Previous report showed that histamine release by HCI was mediated via reactive oxygen species (ROS) generation in RBL 2H3 cells. To investigate action of protein kinase on histamine release and ROS generation. we observed effects of protein kinase inhibitors on histamine release and ROS generation in RBL 2H3 cells stimulated by HCI HCI dose-dependently increased both histamine release and ROS generation. HCI-induced histamine release was significantly inhibited by bisindolmaleimide (10 ${\mu}$M). DHC (10 ${\mu}$M). , and wortmannin (10 ${\mu}$M), but not by PD098059 (10 ${\mu}$M). ON the other hand. HCI-induced ROS generation was significantly inhibited by DHC (10 ${\mu}$M). but not by bisindolmaleimide(10 ${\mu}$M). wortmannin (10 ${\mu}$M). and PD098059 (10 ${\mu}$M). However KN-62 did not inhibited both. These results showed that involvement of protein kinase in regulation of histamine release and ROS generation may be different and only tyrosine kinase may be associated with regulation of both histamine release and ROS generation in RBL 2H3 cells.