• 제목/요약/키워드: multiple embedding

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Word Embeddings-Based Pseudo Relevance Feedback Using Deep Averaging Networks for Arabic Document Retrieval

  • Farhan, Yasir Hadi;Noah, Shahrul Azman Mohd;Mohd, Masnizah;Atwan, Jaffar
    • Journal of Information Science Theory and Practice
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    • 제9권2호
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    • pp.1-17
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    • 2021
  • Pseudo relevance feedback (PRF) is a powerful query expansion (QE) technique that prepares queries using the top k pseudorelevant documents and choosing expansion elements. Traditional PRF frameworks have robustly handled vocabulary mismatch corresponding to user queries and pertinent documents; nevertheless, expansion elements are chosen, disregarding similarity to the original query's elements. Word embedding (WE) schemes comprise techniques of significant interest concerning QE, that falls within the information retrieval domain. Deep averaging networks (DANs) defines a framework relying on average word presence passed through multiple linear layers. The complete query is understandably represented using the average vector comprising the query terms. The vector may be employed for determining expansion elements pertinent to the entire query. In this study, we suggest a DANs-based technique that augments PRF frameworks by integrating WE similarities to facilitate Arabic information retrieval. The technique is based on the fundamental that the top pseudo-relevant document set is assessed to determine candidate element distribution and select expansion terms appropriately, considering their similarity to the average vector representing the initial query elements. The Word2Vec model is selected for executing the experiments on a standard Arabic TREC 2001/2002 set. The majority of the evaluations indicate that the PRF implementation in the present study offers a significant performance improvement compared to that of the baseline PRF frameworks.

무선 메쉬 라우터에서 이종 라우팅 프로토콜의 효율적인 탑재구조 (An Efficient Embedding Structure for Heterogeneous Routing Protocols in Wireless Mesh Routers)

  • 이영석;김영한
    • 대한임베디드공학회논문지
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    • 제2권4호
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    • pp.209-213
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    • 2007
  • In this paper, we propose more efficient implementation architecture for realizing combination of heterogeneous routing protocols in wireless mesh routes. For realizing heterogeneous routing protocol in wireless mesh router, the following should be considered; which position in OS platform protocols should be implemented, how to define the common API for multiple routing protocols, how to provide architecture for providing high data transfer throughput and for supporting multi platform, and finally how to verify the throughput of protocol by using simulator. For solving those consideration, we propose HRPC(Heterogeneous Routing Protocol Coordinator) and describe the method for testing the protocols.

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3차원 Hybrid IC 배치를 위한 기둥첩 블록의 층할당 (Layer Assignment of Functional Chip Blocks for 3-D Hybrid IC Planning)

  • 이평한;경종민
    • 대한전자공학회논문지
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    • 제24권6호
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    • pp.1068-1073
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    • 1987
  • Traditional circuit partitioning algorithm using the cluster development method, which is suitable for such applications as single chip floor planning or multiple layer PCB system placement, where the clusters are formed so that inter-cluster nets are localized within the I/O connector pins, may not be appropriate for the functiona block placement in truly 3-D electronic modules. 3-D hybrid IC is one such example where the inter-layer routing as well as the intra-layer routing can be maximally incorporated to reduce the overall circuit size, cooling requirements and to improve the speed performance. In this paper, we propose a new algorithm called MBE(Minimum Box Embedding) for the layer assignment of each functional block in 3-D hybrid IC design. The sequence of MBE is as follows` i) force-directed relaxation in 3-D space, ii) exhaustive search for the optimal orientation of the slicing plane and iii) layer assignment. The algorithm is first explaines for a 2-D reduced problem, and then extended for 3-D applications. An example result for a circuit consisting of 80 blocks has been shown.

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실수값 복원키를 이용한 광 영상 은닉 기술 (Optical Image Hiding Technique using Real-Valued Decoding Key)

  • 조규보;서동환;최은창
    • 대한임베디드공학회논문지
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    • 제6권3호
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    • pp.168-173
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    • 2011
  • In this paper, an optical image hiding technique using real-valued decoding key is proposed. In the embedding process, a each zero-padded original image placed in a quadrants on an input plane is multiplied by a statistically independent random phase pattern and is Fourier transformed. An encoded image is obtained by taking the real-valued data from the Fourier transformed image. And then a phase-encoded pattern, used as a hidden image and a decoding key, is generated by the use of multiple phase wrapping from the encoded images. A transmitted image is made from the linear superposition of the weighted hidden images and a cover image. In reconstruction process, the mirror reconstructed images can be obtained at two quadrants by the inverse-Fourier transform of the product of the transmitted image and the decoding key. Computer simulation and optical experiment are demonstrated in order to confirm the proposed technique.

Ensemble Deep Learning Features for Real-World Image Steganalysis

  • Zhou, Ziling;Tan, Shunquan;Zeng, Jishen;Chen, Han;Hong, Shaobin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권11호
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    • pp.4557-4572
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    • 2020
  • The Alaska competition provides an opportunity to study the practical problems of real-world steganalysis. Participants are required to solve steganalysis involving various embedding schemes, inconsistency JPEG Quality Factor and various processing pipelines. In this paper, we propose a method to ensemble multiple deep learning steganalyzers. We select SRNet and RESDET as our base models. Then we design a three-layers model ensemble network to fuse these base models and output the final prediction. By separating the three colors channels for base model training and feature replacement strategy instead of simply merging features, the performance of the model ensemble is greatly improved. The proposed method won second place in the Alaska 1 competition in the end.

Profane or Not: Improving Korean Profane Detection using Deep Learning

  • Woo, Jiyoung;Park, Sung Hee;Kim, Huy Kang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권1호
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    • pp.305-318
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    • 2022
  • Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

Improving the stability of the football ball by adding nanocomposites into polymer layer

  • Huayun Tian;Lu Li
    • Advances in nano research
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    • 제17권1호
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    • pp.51-59
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    • 2024
  • Nanotechnology, the science of manipulating matter at the nanoscale, offers remarkable opportunities for innovation across various fields. Nanomaterials, which form the cornerstone of advanced materials, drive forward new ideas and groundbreaking applications. In the textile industry, traditional antibacterial and antifungal garments are typically treated with chemical compounds to inhibit bacterial growth. However, these treatments often lack durability, losing effectiveness after multiple washes. To address this limitation, the application of green nanotechnology in developing high-performance textiles emerges as a promising solution. This study explores the integration of nanocomposites into the polymer layers of footballs to enhance their stability and performance. By embedding nanoparticles within the polymer matrix, the durability and resilience of the footballs are significantly improved, leading to better control and performance on the field. This innovative approach not only extends the lifespan of the footballs but also provides economic advantages by reducing the frequency of replacements. Additionally, the enhanced stability contributes to a more consistent and reliable playing experience, promoting improved safety and performance for athletes.

단어 임베딩 및 벡터 유사도 기반 게임 리뷰 자동 분류 시스템 개발 (Development of An Automatic Classification System for Game Reviews Based on Word Embedding and Vector Similarity)

  • 양유정;이보현;김진실;이기용
    • 한국전자거래학회지
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    • 제24권2호
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    • pp.1-14
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    • 2019
  • 게임은 소프트웨어 특성상 출시 후 사용자들의 반응을 빠르게 파악하여 개선하는 것이 중요하다. 하지만 구글 플레이 앱 스토어 등 사용자들이 게임을 다운로드하고 리뷰를 올릴 수 있는 대부분의 사이트들은 게임 리뷰에 대한 매우 제한적이고 모호한 분류 기능만을 제공한다. 따라서 본 논문에서는 사용자들이 사이트에 올린 게임 리뷰를 보다 명확하고 운영에 유용한 주제들로 자동 분류하는 시스템을 개발한다. 본 논문에서 개발한 시스템은 리뷰에 포함된 단어들을 대표적인 단어 임베딩 모델인 word2vec을 사용하여 벡터들로 변환하고, 이 벡터들과 각 주제 간 유사도를 측정하여 해당 리뷰를 관련된 주제로 분류한다. 특히 분류 성능에 직접적인 영향을 미치는 벡터 간 유사도 측정 방법을 선택하기 위해 본 연구에서는 대표적인 벡터 간 유사도 측정 방법인 유클리디안 유사도, 코사인 유사도, 확장된 자카드 유사도의 성능을 실제 데이터를 사용하여 비교하였다. 또한 어떤 리뷰가 둘 이상의 주제에 해당하는 경우를 위해 임계값에 기반한 다중 분류 방법을 사용하였다. 구글 플레이 앱스토어의 실제 데이터를 사용한 실험 결과 본 시스템은 95%까지의 정확도를 보임을 확인하였다.

턱관절 장애 치료 시 매선침 활용 현황에 대한 설문 연구 (Clinical Use of Thread Embedding Acupuncture for Temporomandibular Joint Disorder: A Web-Based Survey)

  • 유승호;강준혁;서상우;서준원;김세윤;임정현;지수환;전현준;남상수;구본혁;김고운;조재흥;송미연
    • 한방재활의학과학회지
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    • 제33권3호
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    • pp.149-160
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    • 2023
  • Objectives This study is for reporting current status and strategies of thread embedding acupuncture (TEA) in temporomandibular joint disorder (TMD) using web-based survey. Methods Survey was conducted online via E-mail among Korean medicine doctors registered with the Association of Korean Medicine. The questionnaire is developed by Korean medicine doctor in Kyung Hee University Hospital at Gangdong. The survey consisted mainly of multiple-choice questions on the current status and strategies of TEA for TMD. Results Total of 427 doctors responded. TEA was mostly used for 'Cosmetic purpose and others' with 287 respondents (67.2%), and 102 respondents (23.9%) having experience with TEA for TMD. The most common purpose for TEA for TMD was 'Improving muscle contraction and tension' with 290 respondents (67.9%). The average interval was reported 2.12 weeks, and the most common response for the number of treatments was five sessions with 127 respondents (29.7%). The most common criterion for determining the treatment site was based on anatomical structure, accounting for 92.7%. The most effective anatomical structure was the 'Masseter muscle' with 83.1%, followed by the 'Temporal muscle' with 51.8%. TEA direction for TMD was dominant in 'affected side' for all muscles. Conclusions Through a survey, we can investigate clinical usage of TEA for TMD. This study can be helpful in creating standardized criteria for TEA on TMD in the future.

한의사 대상 온라인 설문조사를 통한 안면부 매선침 임상 활용 현황 조사 (Current Status and Strategies of Thread Embedding Acupuncture on Face: A Survey of Korean Medicine Doctors)

  • 유승호;서준원;김세윤;임정현;지수환;김병찬;남상수;구본혁;김고운;조재흥;송미연;정원석;김형석;신우철
    • 한방재활의학과학회지
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    • 제34권2호
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    • pp.165-172
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    • 2024
  • Objectives This study aims to report current status and strategies of thread embedding acupuncture (TEA) on face through survey of Korean medicine doctors. Methods The survey was conducted online via e-mail to certified Korean medicine doctors. The questionnaire is developed by Korean medicine doctors in Kyung-Hee Korean Medicine Hospital at Gangdong. The survey mainly consisted with multiple-choice questions on the current status, cost, and adverse reactions. Results TEA was predominantly utilized for cosmetic purposes, and the billing cost was commonly determined based on the number of threads used. The reported incidence of adverse reactions during TEA was 69.9%. The most frequent self-resolving adverse reaction was bruising, while the most common adverse reaction requiring medical intervention or resulting in sequelae was the 'dimple phenomenon'. According to the questionnaire, the primary factor associated with adverse reactions was the treatment area. Conclusions This study provided insights into the practical use of TEA on face in Korean medical clinic.