• Title/Summary/Keyword: embedding strategy

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An Exploratory Approach to Discovering Salary-Related Wording in Job Postings in Korea

  • Ha, Taehyun;Coh, Byoung-Youl;Lee, Mingook;Yun, Bitnari;Chun, Hong-Woo
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.86-95
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    • 2022
  • Online recruitment websites discuss job demands in various fields, and job postings contain detailed job specifications. Analyzing this text can elucidate the features that determine job salaries. Text embedding models can learn the contextual information in a text, and explainable artificial intelligence frameworks can be used to examine in detail how text features contribute to the models' outputs. We collected 733,625 job postings using the WORKNET API and classified them into low, mid, and high-range salary groups. A text embedding model that predicts job salaries based on the text in job postings was trained with the collected data. Then, we applied the SHapley Additive exPlanations (SHAP) framework to the trained model and discovered the significant words that determine each salary class. Several limitations and remaining words are also discussed.

Robust Image Watermarking using Quantization on the Lowest Wavelet Subband (웨이브렛 최저주파수 대역에서의 양자화를 이용한 강인한 영상 워터마킹)

  • 서용석;주상현;유원영
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.9C
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    • pp.898-907
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    • 2003
  • In this paper, we propose a new blind watermarking method that embeds a watermark on the lowest wavelet subband coefficients, while most watermarking techniques embed watermarks in the middle frequency range for robustness and fidelity. A new embedding algorithm for watermarking is proposed that embeds a bi-level watermark sequence into randomly selected wavelet coefficients on the lowest subband(LL) using a quantization in order to be robust. Experimental results prove our novel embedding strategy is invisible and good rate-distortion-robustness performance.

A Discourse-based Compositional Approach to Overcome Drawbacks of Sequence-based Composition in Text Modeling via Neural Networks (신경망 기반 텍스트 모델링에 있어 순차적 결합 방법의 한계점과 이를 극복하기 위한 담화 기반의 결합 방법)

  • Lee, Kangwook;Han, Sanggyu;Myaeng, Sung-Hyon
    • KIISE Transactions on Computing Practices
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    • v.23 no.12
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    • pp.698-702
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    • 2017
  • Since the introduction of Deep Neural Networks to the Natural Language Processing field, two major approaches have been considered for modeling text. One method involved learning embeddings, i.e. the distributed representations containing abstract semantics of words or sentences, with the textual context. The other strategy consisted of composing the embeddings trained by the above to get embeddings of longer texts. However, most studies of the composition methods just adopt word embeddings without consideration of the optimal embedding unit and the optimal method of composition. In this paper, we conducted experiments to analyze the optimal embedding unit and the optimal composition method for modeling longer texts, such as documents. In addition, we suggest a new discourse-based composition to overcome the limitation of the sequential composition method on composing sentence embeddings.

The Effects of Embedding-study Oriented Entrepreneurship Educating Program on Participant's Satisfaction and Referring ill (활용지향적 기술창업교육이 참여자의 만족과 추천의향에 미치는 영향 연구)

  • Kim, Myung-Seuk;Yang, Young-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.2004-2012
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    • 2010
  • This paper assess participant's satisfaction and referring will of embedding study- oriented TEC entrepreneurship program to drive policy implications for domestic entrepreneurship education, such as graduate schools of entrepreneurial management in Korea. The hypothesis test of this research shows that four assumptions given have been accepted among five of them as follows; education content, lecture style, prior knowledge variables with positively correlating to participant's satisfaction and referring will. In particular, the stronger highlights falls on algorithm approach with stressing on iterative and process oriented embedding study relating to education content, case-oriented lecture to lecture style and experience, customer understanding with business plan to prior knowledge.

An Analysis on Design Strategies for Building Conversion - Case Study on the G-Office Building in Japan - (용도전환 시설의 계획 특성에 관한 연구 - 일본 동경 G-오피스 빌딩의 사례를 중심으로 -)

  • Lee, Seung-Mi;Kang, In-Ho
    • Proceedings of the Korean Institute of Interior Design Conference
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    • 2008.05a
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    • pp.290-294
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    • 2008
  • Conversion of the building can be a core strategy to activate the urban regeneration. Especially in the decayed district, the conversion or retrofit of old building can be a core catalyst to stimulate the urban regeneration. Throughout the case study, a conversion from office to dwelling, there were figured out the design strategies to respond to spatial, functional requirements. The results are as follows ; 1) The main design strategy is to articulate the space by embedding the wall, mass in the rectangular space. 2) to respond to the small size of space, the flexible, movable wall system Is adopted. This gives the selectiveness to the use of space. 3) to secure the livability of interior space, the buffer zone, a terrace space, is fully utilized. This space acts as thermal buffer zone as well as a semi-interior space.

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Providing survivability for virtual networks against substrate network failure

  • Wang, Ying;Chen, Qingyun;Li, Wenjing;Qiu, Xuesong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.9
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    • pp.4023-4043
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    • 2016
  • Network virtualization has been regarded as a core attribute of the Future Internet. In a network virtualization environment (NVE), multiple heterogeneous virtual networks can coexist on a shared substrate network. Thus, a substrate network failure may affect multiple virtual networks. In this case, it is increasingly critical to provide survivability for the virtual networks against the substrate network failures. Previous research focused on mechanisms that ensure the resilience of the virtual network. However, the resource efficiency is still important to make the mapping scheme practical. In this paper, we study the survivable virtual network embedding mechanisms against substrate link and node failure from the perspective of improving the resource efficiency. For substrate link survivability, we propose a load-balancing and re-configuration strategy to improve the acceptance ratio and bandwidth utilization ratio. For substrate node survivability, we develop a minimum cost heuristic based on a divided network model and a backup resource cost model, which can both satisfy the location constraints of virtual node and increase the sharing degree of the backup resources. Simulations are conducted to evaluate the performance of the solutions. The proposed load balancing and re-configuration strategy for substrate link survivability outperforms other approaches in terms of acceptance ratio and bandwidth utilization ratio. And the proposed minimum cost heuristic for substrate node survivability gets a good performance in term of acceptance ratio.

High-Capacity and Robust Watermarking Scheme for Small-Scale Vector Data

  • Tong, Deyu;Zhu, Changqing;Ren, Na;Shi, Wenzhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.12
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    • pp.6190-6213
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    • 2019
  • For small-scale vector data, restrictions on watermark scheme capacity and robustness limit the use of copyright protection. A watermarking scheme based on robust geometric features and capacity maximization strategy that simultaneously improves capacity and robustness is presented in this paper. The distance ratio and angle of adjacent vertices are chosen as the watermark domain due to their resistance to vertex and geometric attacks. Regarding watermark embedding and extraction, a capacity-improved strategy based on quantization index modulation, which divides more intervals to carry sufficient watermark bits, is proposed. By considering the error tolerance of the vector map and the numerical accuracy, the optimization of the capacity-improved strategy is studied to maximize the embedded watermark bits for each vertex. The experimental results demonstrated that the map distortion caused by watermarks is small and much lower than the map tolerance. Additionally, the proposed scheme can embed a copyright image of 1024 bits into vector data of 150 vertices, which reaches capacity at approximately 14 bits/vertex, and shows prominent robustness against vertex and geometric attacks for small-scale vector data.

A Novel Reversible Data Hiding Scheme for VQ-Compressed Images Using Index Set Construction Strategy

  • Qin, Chuan;Chang, Chin-Chen;Chen, Yen-Chang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.8
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    • pp.2027-2041
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    • 2013
  • In this paper, we propose a novel reversible data hiding scheme in the index tables of the vector quantization (VQ) compressed images based on index set construction strategy. On the sender side, three index sets are constructed, in which the first set and the second set include the indices with greater and less occurrence numbers in the given VQ index table, respectively. The index values in the index table belonging to the second set are added with prefixes from the third set to eliminate the collision with the two derived mapping sets of the first set, and this operation of adding prefixes has data hiding capability additionally. The main data embedding procedure can be achieved easily by mapping the index values in the first set to the corresponding values in the two derived mapping sets. The same three index sets reconstructed on the receiver side ensure the correctness of secret data extraction and the lossless recovery of index table. Experimental results demonstrate the effectiveness of the proposed scheme.

Corporation's Adaptation to Climate Change Related Natural Disasters : Embedding Resiliency in Supply Chain - A Study on Climate Change Related Natural Disaster Adaptation for Corporations -

  • Pak, Myong Sop;Kim, In Sun
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.64
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    • pp.239-264
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    • 2014
  • Two types of responses to climate change exist. First is climate mitigation which includes efforts of reducing CO2 and GHG emissions. Second response is climate adaptation process which is establishing climate resilience in the supply chain. The two are inherently different since mitigation strategy focus on eliminating the source of climate change and is long term in nature but adaptation strategy is moderating the impact of potential or current climate change. In order to embed climate resilience in the supply chain, mitigation strategies and adaption strategies must be implemented simultaneously. Corporation's adaptation to climate change related natural disaster can be seen as a response that includes mitigation and adaptation strategies simultaneously. A comprehensive climate change resilience supply chain approach has to be developed. This paper illustrated guidelines and adaptation process framework businesses can utilize in order to build climate resilience. Screening process before the actual assessment of risk was introduced as well as the whole adaptation process of establishing information system and strengthening climate-related operational flexibility.

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Reversible Watermarking Based on Compensation

  • Qu, Xiaochao;Kim, Suah;Kim, Hyoung Joong
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.422-428
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    • 2015
  • This paper proposes a high performance reversible watermarking (RW) scheme based on a novel compensation strategy. RW embeds data into a host image by modifying its pixel values slightly. It is found that certain modified pixels can be compensated to their original values during the proposed embedding procedure. The compensation effect in the RW scheme can improve the marked image quality significantly. By incorporating the pixel selection method, a higher quality image is obtained, which is verified by extensive experiments.