• Journal of Biosystems Engineering
• /
• v.42 no.4
• /
• pp.339-349
• /
• 2017

Purpose: This review focuses on the major 3-D image reconstruction techniques and their applications in plant and animal morphological analysis. Methods & Results: This paper begins with an overview of major 3-D image reconstruction techniques and their basic principles. Subsequently, their applications in plant and animal morphological analysis are reviewed. A discussion on the limitations and future research direction of 3-D imaging techniques for accurate, fast measurements and modeling of plant and animal morphological analysis follows. Conclusions: Owing to the increasing demand for plant and animal morphological analysis, the application of 3-D imaging techniques will increase in popularity among researchers and the agricultural industry.

• Korean Journal of Cognitive Science
• /
• v.4 no.2
• /
• pp.115-143
• /
• 1994

In this paper,I present an extended two-level model using LR parsing techniques.The LR-based two-level model not only guarantees effcient morphological processing but also achieves a higher degree of descriptive adequacy than Koskenniemi's original model.The two-level model is augmented with an independent morphosyntactic module based on feature-based CF word grammar.By adopting a CF word grammar,our model is capable of dealing with complex words with discontinuous dependencies without having duplicate lexicons.It is shown how LR predictions manifested in the parsing table can help the morphological processor to minimize the dictionary lookup process.

• Tribology and Lubricants
• /
• v.14 no.4
• /
• pp.79-87
• /
• 1998

Morphological analysis of wear particles in the lubricating oil is a very effective and versatile means of lubricant analysis for machine condition monitoring and fault diagnosis. The prospects for determining quantitative information about wear particle morphology have been considerably enhanced by recent developments reported in the application of image processing and analysis techniques. This study was undertaken to investigate the influence of oiliness agent and extreme pressure agent on the shape of wear particles. The wear test was performed under different experimental conditions with stearic acid, dibenzyl disulfide(DBDS) and tricresol phosphate(TCP) in paraffinic base oil. Wear particles characteristics were described using four shape parameters, namely 50% volumetric diameter, aspect, roundness and reflectivity. The results showed that the four shape parameters of wear particles depend on a kind of the additives. This analysis of wear debris with computer image processing techniques is sufficient to distinguish some types of wear debris. The wear volume of three kinds of the specimens are affected by the additives with boundary films.

• The Journal of Information Systems
• /
• v.28 no.4
• /
• pp.155-174
• /
• 2019

Purpose Social interest in financial statement notes has recently increased. However, contrary to the keen interest in financial statement notes, there is no morphological analyzer for accounting terms, which is why researchers are having considerable difficulty in carrying out research. In this study, we build a morphological analyzer for accounting related text mining techniques. This morphological analyzer can handle accounting terms like financial statements and we expect it to serve as a springboard for growth in the text mining research field. Design/methodology/approach In this study, we build customized korean morphological analyzer to extract proper accounting terms. First, we collect Company's Financial Statement notes, financial information data published by KPFIS(Korea Public Finance Information Service), K-IFRS accounting terms data. Second, we cleaning and tokeninzing and removing stopwords. Third, we customize morphological analyzer using n-gram methodology. Findings Existing morphological analyzer cannot extract accounting terms because it split accounting terms to many nouns. In this study, the new customized morphological analyzer can detect more appropriate accounting terms comparing to the existing morphological analyzer. We found that accounting words that were not detected by existing morphological analyzers were detected in new customized morphological analyzers.

• Journal of Korean Society for Quality Management
• /
• v.26 no.4
• /
• pp.202-218
• /
• 1998

It is well-known that leading firms are more innovative than others, with far more sales from new products. This paper suggests that what kinds of creatively techniques can be a, pp.ied to new product development process for the purpose of commercial success. Both divergent and convergent techniques are considered at each stage of new product development process. Some typical creativity techniques such as boundary examination, bug list, manipulative verbs, morphological analysis, SCAMPER, and TRIZ are explained with case examples.

• ETRI Journal
• /
• v.46 no.1
• /
• pp.137-153
• /
• 2024

This study introduces a new approach in Korean morphological analysis combining dictionary-based techniques with Transformer-based deep learning models. The key innovation is the use of a BERT-based reranking system, significantly enhancing the accuracy of traditional morphological analysis. The method generates multiple suboptimal paths, then employs BERT models for reranking, leveraging their advanced language comprehension. Results show remarkable performance improvements, with the first-stage reranking achieving over 20% improvement in error reduction rate compared with existing models. The second stage, using another BERT variant, further increases this improvement to over 30%. This indicates a significant leap in accuracy, validating the effectiveness of merging dictionary-based analysis with contemporary deep learning. The study suggests future exploration in refined integrations of dictionary and deep learning methods as well as using probabilistic models for enhanced morphological analysis. This hybrid approach sets a new benchmark in the field and offers insights for similar challenges in language processing applications.

• KIEE International Transaction on Systems and Control
• /
• v.2D no.2
• /
• pp.115-119
• /
• 2002

In this paper we present a generalized directional morphological filtering algorithm for the removal of impulse noise, which is based on a combination of impulse noise detection and a weighted rank-order morphological filtering technique. For salt (or pepper) noise suppression, the generalized directional opening (or closing) filtering of the input signal is selectively used. The detection of impulse noise can be done by the geometrical difference of opening and closing filtering. Simulations show that this new filter has better detail feature preservation with effective noise reduction compared to other nonlinear filtering techniques.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.375-381
• /
• 2022

The main objective of an Information Retrieval System (IRS) is to obtain suitable information within a reasonable time to satisfy a user need. To achieve this purpose, an IRS should have a good indexing system that is based on natural language processing.In this context, we focus on the available Arabic language processing techniques for an IRS with the goal of contributing to an improvement in the performance. Our contribution consists of integrating morphological analysis into an IRS in order to compare the impact of morphological analysis with that of stemming algorithms.

• The Korean Journal of Zoology
• /
• v.32 no.1
• /
• pp.14-21
• /
• 1989

Four external and 22 cranial characters of 279 specimens representing 24 species of six orders of Korean mammals were measured. The data were analyzed by phenetic methods such as ordination as well as clustering techniques. Morphological distances were also calculated. Phenetic studies yield taxonomic placements of Siberian mink, Palearetic squirrel, and big white-toothed shrew which are incorrect. Morphological differences among Korean mammals at ordinal level in the taxonomic hierarchy are larger than those among other mammals: morphological differences below ordinal level are comparable to those among other mammals. Average taxonomic distances and morphological differences among Korean mammals at various levels in the taxonomic hierarchy are jointly monotonic, although the value of Pearson's product-moment correlation coefficient between average taxonomic distance matrix and morphological difference marrix is 0.59.

• Journal of the Korea Computer Industry Society
• /
• v.3 no.9
• /
• pp.1279-1286
• /
• 2002

Generally, radiologists can fail to detect pulmonary nodules in up to 30%. If an automatic system can inform the radiologists of thelocations of the doubtful nodules in the X-ray chest images, the frequency of mistakenly observed numbers of the nodules can be potentially reduced. This software is using morphological filtering and two feature-extraction techniques. The morphological filtering is the first process, which subsequently adds the operations of erosion and dilation to the original images so that this process can transform the original X-ray chest images into manageable ones. The false-positives are frequently being mistaken as nodules but actually these are not real nodules. The second process is the two feature-extraction techniques which are used to reduce the false-positives. Therefore, this system will make more effective detection of pulmonary nodules by reducing the false-positives when applied to the X-ray chest images which is difficult to get accurate detection.