J. Inf. Process. Syst.最新文献_第4页

Mid-level Feature Extraction Method Based Transfer Learning to Small-Scale Dataset of Medical Images with Visualizing Analysis 基于迁移学习的小规模医学图像数据集中级特征提取方法及可视化分析

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.04.0194

Dong-Ho Lee, Yan Li, B. Shin

引用次数: 4

A Graph Embedding Technique for Weighted Graphs Based on LSTM Autoencoders 基于LSTM自编码器的加权图嵌入技术

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.04.0197

Minji Seo, Ki Yong Lee

{"title":"A Graph Embedding Technique for Weighted Graphs Based on LSTM Autoencoders","authors":"Minji Seo, Ki Yong Lee","doi":"10.3745/JIPS.04.0197","DOIUrl":"https://doi.org/10.3745/JIPS.04.0197","url":null,"abstract":"A graph is a data structure consisting of nodes and edges between these nodes. Graph embedding is to generate a low dimensional vector for a given graph that best represents the characteristics of the graph. Recently, there have been studies on graph embedding, especially using deep learning techniques. However, until now, most deep learning-based graph embedding techniques have focused on unweighted graphs. Therefore, in this paper, we propose a graph embedding technique for weighted graphs based on long short-term memory (LSTM) autoencoders. Given weighted graphs, we traverse each graph to extract node-weight sequences from the graph. Each node-weight sequence represents a path in the graph consisting of nodes and the weights between these nodes. We then train an LSTM autoencoder on the extracted node-weight sequences and encode each nodeweight sequence into a fixed-length vector using the trained LSTM autoencoder. Finally, for each graph, we collect the encoding vectors obtained from the graph and combine them to generate the final embedding vector for the graph. These embedding vectors can be used to classify weighted graphs or to search for similar weighted graphs. The experiments on synthetic and real datasets show that the proposed method is effective in measuring the similarity between weighted graphs.","PeriodicalId":415161,"journal":{"name":"J. Inf. Process. Syst.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124328769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A Method for Tree Image Segmentation Combined Adaptive Mean Shifting with Image Abstraction 自适应均值移位与图像抽象相结合的树形图像分割方法

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.02.0151

Ting-ting Yang, Su Zhou, Ai-jun Xu, Jianhang Yin

引用次数: 3

Suggestion for Collaboration-Based UI/UX Development Model through Risk Analysis 基于风险分析的基于协作的UI/UX开发模型建议

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.04.0200

Seong-Hwan Cho, Seung-Hee Kim

引用次数: 4

Quantum Communication Technology for Future ICT - Review 面向未来ICT的量子通信技术综述

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.03.0154

S. Singh, Abir El Azzaoui, Mikail Mohammed Salim, and Jong Hyuk Park

引用次数: 12

A Study on the Fault Process and Equipment Analysis of Plastic Ball Grid Array Manufacturing Using Data-Mining Techniques 基于数据挖掘技术的塑料球格栅阵列制造故障过程及设备分析研究

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.04.0195

H. Sim

引用次数: 1

Algorithms, Processes, and Services for Future ICT 未来ICT的算法、流程和服务

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.01.0061

Y. Jeong, J. Park

引用次数: 0

Service Oriented Cloud Computing Trusted Evaluation Model 面向服务的云计算可信评估模型

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.03.0153

Hongqiang Jiao, Xinxin Wang, Wanning Ding

引用次数: 1

Boundary-RRT* Algorithm for Drone Collision Avoidance and Interleaved Path Re-planning 无人机避碰与交错路径重规划的Boundary-RRT*算法

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.04.0196

Je-Kwan Park, Tai-Myung Chung

引用次数: 10

Zero-Watermarking Algorithm in Transform Domain Based on RGB Channel and Voting Strategy 基于RGB通道和投票策略的变换域零水印算法

J. Inf. Process. Syst. Pub Date : 2020-12-01 DOI: 10.3745/JIPS.02.0150

Q. Zheng, Nan Liu, Baoqin Cao, Fenghua Wang, Yanan Yang

{"title":"Zero-Watermarking Algorithm in Transform Domain Based on RGB Channel and Voting Strategy","authors":"Q. Zheng, Nan Liu, Baoqin Cao, Fenghua Wang, Yanan Yang","doi":"10.3745/JIPS.02.0150","DOIUrl":"https://doi.org/10.3745/JIPS.02.0150","url":null,"abstract":"A zero-watermarking algorithm in transform domain based on RGB channel and voting strategy is proposed. The registration and identification of ownership have achieved copyright protection for color images. In the ownership registration, discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) are used comprehensively because they have the characteristics of multi-resolution, energy concentration and stability, which is conducive to improving the robustness of the proposed algorithm. In order to take full advantage of the characteristics of the image, we use three channels of R, G, and B of a color image to construct three master shares, instead of using data from only one channel. Then, in order to improve security, the master share is superimposed with the copyright watermark encrypted by the owner’s key to generate an ownership share. When the ownership is authenticated, copyright watermarks are extracted from the three channels of the disputed image. Then using voting decisions, the final copyright information is determined by comparing the extracted three watermarks bit by bit. Experimental results show that the proposed zero watermarking scheme is robust to conventional attacks such as JPEG compression, noise addition, filtering and tampering, and has higher stability in various common color images.","PeriodicalId":415161,"journal":{"name":"J. Inf. Process. Syst.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115745938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4