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Question Similarity Measurement of Chinese Crop Diseases and Insect Pests Based on Mixed Information Extraction

  • Zhou, Han;Guo, Xuchao;Liu, Chengqi;Tang, Zhan;Lu, Shuhan;Li, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.11
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    • pp.3991-4010
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    • 2021
  • The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

Multi-Emotion Regression Model for Recognizing Inherent Emotions in Speech Data (음성 데이터의 내재된 감정인식을 위한 다중 감정 회귀 모델)

  • Moung Ho Yi;Myung Jin Lim;Ju Hyun Shin
    • Smart Media Journal
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    • v.12 no.9
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    • pp.81-88
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    • 2023
  • Recently, communication through online is increasing due to the spread of non-face-to-face services due to COVID-19. In non-face-to-face situations, the other person's opinions and emotions are recognized through modalities such as text, speech, and images. Currently, research on multimodal emotion recognition that combines various modalities is actively underway. Among them, emotion recognition using speech data is attracting attention as a means of understanding emotions through sound and language information, but most of the time, emotions are recognized using a single speech feature value. However, because a variety of emotions exist in a complex manner in a conversation, a method for recognizing multiple emotions is needed. Therefore, in this paper, we propose a multi-emotion regression model that extracts feature vectors after preprocessing speech data to recognize complex, inherent emotions and takes into account the passage of time.

Geometry optimization of a double-layered inertial reactive armor configured with rotating discs

  • Bekzat Ajan;Dichuan Zhang;Christos Spitas;Elias Abou Fakhr;Dongming Wei
    • Advances in Computational Design
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    • v.8 no.4
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    • pp.309-325
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    • 2023
  • An innovative inertial reactive armor is being developed through a multi-discipline project. Unlike the well-known explosive or non-explosive reactive armour that uses high-energy explosives or bulging effect, the proposed inertial reactive armour uses active disc elements that is set to rotate rapidly upon impact to effectively deflect and disrupt shaped charges and kinetic energy penetrators. The effectiveness of the proposed armour highly depends on the tangential velocity of the impact point on the rotating disc. However,for a single layer armour with an array of high-speed rotating discs, the tangential velocity is relatively low near the center of the disc and is not available between the gap of the discs. Therefore, it is necessary to configure the armor with double layers to increase the tangential velocity at the point of impact. This paper explores a multi-objective geometry design optimization for the double-layered armor using Nelder-Mead optimization algorithm and integration tools of the python programming language. The optimization objectives include maximizing both average tangential velocity and high tangential velocity areas and minimizing low tangential velocity area. The design parameters include the relative position (translation and rotation) of the disc element between two armor layers. The optimized design results in a significant increase of the average tangential velocity (38%), increase of the high tangential velocity area (71.3%), and decrease of the low tangential velocity area (86.2%) as comparing to the single layer armor.

A Study on Participants in Policy Agenda Setting - Focusing on the Multi-cultural Families Support Act - (정책의제형성에 있어서 참여자에 관한 연구 - 다문화가족지원법 중심으로 -)

  • Bae, Seon-Sik;Kim, Seung-Il
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.8 no.2
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    • pp.116-127
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    • 2015
  • The phenomenon of international migration since the 1980s comes to be born 'multi-cultural families support law' due to the foreign workers' inflow into labor market and to a rise in married female immigrants caused by globalization and diversification. Accordingly, the purpose of this study is to examine who are participants? given being led to the enactment of 'multi-cultural families support law' by which the social issue called multi-cultural family is highlighted as the public agenda. Also, the mobilization will be selected and explained among three types in mobilization model, outside initiative model, and inside access model in the process of driving by confirming it as the government's formal agenda out of social issues. With having the case characteristics in mind, the aim is to research by choosing a case analysis method that uses research theses & books, newspaper, daily newspaper, election pledges, civic group, internet, and seminar data based on the existing theory and model. The temporal scope is limited to the one from the time as saying "revise the Overseas Korean Act of opposing the banishment of migrant workers" in November 2003 to February 2008 when 'multi-cultural families support bill(alternative plan)' is legislated with agreement by the 7th plenary session for the 271th provisional session of the National Assembly.

Functional Magnetic Resonance Imaging and Diffusion Tensor Imaging for Language Mapping in Brain Tumor Surgery: Validation With Direct Cortical Stimulation and Cortico-Cortical Evoked Potential

  • Koung Mi Kang;Kyung Min Kim;In Seong Kim;Joo Hyun Kim;Ho Kang;So Young Ji;Yun-Sik Dho;Hyongmin Oh;Hee-Pyoung Park;Han Gil Seo;Sung-Min Kim;Seung Hong Choi;Chul-Kee Park
    • Korean Journal of Radiology
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    • v.24 no.6
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    • pp.553-563
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    • 2023
  • Objective: Functional magnetic resonance imaging (fMRI) and diffusion tensor imaging-derived tractography (DTI-t) contribute to the localization of language areas, but their accuracy remains controversial. This study aimed to investigate the diagnostic performance of preoperative fMRI and DTI-t obtained with a simultaneous multi-slice technique using intraoperative direct cortical stimulation (DCS) or corticocortical evoked potential (CCEP) as reference standards. Materials and Methods: This prospective study included 26 patients (23-74 years; male:female, 13:13) with tumors in the vicinity of Broca's area who underwent preoperative fMRI and DTI-t. A site-by-site comparison between preoperative (fMRI and DTI-t) and intraoperative language mapping (DCS or CCEP) was performed for 226 cortical sites to calculate the sensitivity and specificity of fMRI and DTI-t for mapping Broca's areas. For sites with positive signals on fMRI or DTI-t, the true-positive rate (TPR) was calculated based on the concordance and discordance between fMRI and DTI-t. Results: Among 226 cortical sites, DCS was performed in 100 sites and CCEP was performed in 166 sites. The specificities of fMRI and DTI-t ranged from 72.4% (63/87) to 96.8% (122/126), respectively. The sensitivities of fMRI (except for verb generation) and DTI-t were 69.2% (9/13) to 92.3% (12/13) with DCS as the reference standard, and 40.0% (16/40) or lower with CCEP as the reference standard. For sites with preoperative fMRI or DTI-t positivity (n = 82), the TPR was high when fMRI and DTI-t were concordant (81.2% and 100% using DCS and CCEP, respectively, as the reference standards) and low when fMRI and DTI-t were discordant (≤ 24.2%). Conclusion: fMRI and DTI-t are sensitive and specific for mapping Broca's area compared with DCS and specific but insensitive compared with CCEP. A site with a positive signal on both fMRI and DTI-t represents a high probability of being an essential language area.

An Implementation of Web-based Client/Server Architecture using Distributed Objects (분산 객체를 이용한 웹기반 클라이언트 / 서버 구조의 구현)

  • 박희창;이태공
    • Journal of the military operations research society of Korea
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    • v.23 no.2
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    • pp.25-44
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    • 1997
  • Internet users been rapidly increased due to the convenient GUI environment. Current Web-based HTTP/CGI client/server architecture has several problems such as the CGI bottleneck, no maintaince of state, and no load balancing. However, with Java and CORBA technologies called“Object Web technology”, we can solve them because Java is not only a mobile code but also a platform-independent code, and CORBA has ability to build distributed object and language-independent object model. The goal of “Object Web technology”is to create multivendor, multiOS, multilanguage“legoware”using objects. This paper implement“Book Search System”which is Web-based client/server architecture using distributed objects. Environments of this implementation are Hangul Windows NT(included IIS) server, Hangul Windows 95 client, Visigenic's VisiBroker for Java 1.2 which is a product of CORBA 2.0, HTTP protocol on TCP-IP-based, Sybase SQL Anywhere 5.0 database server, and the interface between application server and database is JDBC-ODBC bridge middleware.

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Coherence Structure in the Discourse of Probability Modelling

  • Jang, Hongshick
    • Research in Mathematical Education
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    • v.17 no.1
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    • pp.1-14
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    • 2013
  • Stochastic phenomena induce us to construct a probability model and structure our thinking; corresponding models help us to understand and interpret the reality. They in turn equip us with tools to recognize, reconstruct and solve problems. Therefore, various implications in terms of methodology as well as epistemology naturally flow from different adoptions of models for probability. Right from the basic scenarios of different perspectives to explore reality, students are occasionally exposed to misunderstanding and misinterpretations. With realistic examples a multi-faceted image of probability and different interpretation will be considered in mathematical modelling activities. As an exploratory investigation, mathematical modelling activity for probability learning was elaborated through semiotic analysis. Especially, the coherence structure in mathematical modelling discourse was reviewed form a semiotic perspective. The discourses sampled from group activities were analyzed on the basis of semiotic perspectives taxonomical coherence relations.

Current and Ethnicity Issues Represented in Child-Rearing Practices of Korean-Chinese Families in YanBian, China (중국 연변 조선족 유아 양육 실제에 나타난 시대성과 민족성 이슈)

  • Yoon, Gab Jung;Goh, Eun Kyung;Chung, Kai Sook
    • Korean Journal of Child Studies
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    • v.29 no.5
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    • pp.31-50
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    • 2008
  • The current and ethnic issues represented in child-rearing practices of Korean-Chinese families in YanBian, China, were studied with the participation of 7 primary caregivers (4 mothers and 3 grandmothers) of young children who were interviewed and observed in their homes. Current issues were categorized as competitive bilingual ability, expectations about third language learning (English), expectations of high academic accomplishment and early education, and economic challenges in parenting. Ethnicity issues included ethnic pride as Korean-Chinese, conflicts of ethnic education, participation in local Korean culture, and rearing the child to have the self-expressive and assertive characteristics of typical Korean children. Results were discussed in terms of understanding and supporting child-rearing of minorities and families with multi-cultural background.

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Neural network analysis of water pollution for a main river, Tamagawa, in Tokyo metropolis

  • Yuan, Yan;Kambe, Junko;Aoyama, T.;Nagashima, U.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.1078-1083
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    • 2004
  • We proposed a method to compensate incomplete observations and made a study of environmental problem, water quality of Tama-River in Tokyo.The method is based on interpolations of the multi-layer neural networks. We call the approach as CQSAR method .which can compensate the defect data.The water quality data include defects which will give wrong effect to other normal data. The CQSAR method suppresses the wrong effect .Thus, we believe that the proposed CQSAR method has practical usability for environment examinations.

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A DS-QPSK Chip Design and Fabrication for Home RF Wireless Sensors (홈 RF 무선 센서를 위한 DS-QPSK 모듈의 설계 및 칩 제작)

  • Lee Young-Dong;Lee Won-Ki;Jun Soo-Hyun;Chung Wan-Young
    • Proceedings of the IEEK Conference
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    • 2004.06b
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    • pp.411-414
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    • 2004
  • This paper introduces a modulation method for digital wireless communication based on general DS-QPSK. The design and fabrication is for home networking application to a typical RF transmitter with DS-QPSK modulator. This modulator implemented using VHDL hardware programming language, the fabrication of IC chip $5{\times}5 mm^2$ was carried by 27th IDEC MPW(Multi Project Wafer) process in 0.35${\mu}m$ rule at Samsung Inc. This paper presented the important of this technology for the future application in wireless sensor. This module can be efficient usage for home network to transmit the RF wireless sensor system.

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