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IIH-MSP 2009 - 2009 5th International Conference on Intelligent information Hiding and Multimedia Signal Processing

作者： Lee, Chin-Feng Chen, Hsing-Ling Department of Information Management Chaoyang University of Technology 168 Jifong E. Rd. Wufong Township Taichung County 41349 Taiwan Graduate Institute of Informatics Doctoral Program Chaoyang University of Technology 168 Jifong E. Rd. Wufong Township Taichung County 41349 Taiwan

ISBN: (纸本)9780769537627

Since networks have progressed remarkably, there is countless information available on the World Wide Web. Generally, this information is formatted as an HTML document. Hence, this paper provides a data concealment scheme for HTML documents based on color code. Our proposed scheme not only avoids increasing the cover file size but also prevents the steganalytic techniques to detect. In addition, the extraction secret data will be meaningless without the assistance of secret key provided. © 2009 IEEE.

关键词： HTML

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Analysis of Shopping Mall Tourist Satisfaction in Bangkok Using Word Cloud of Online Reviews

Analysis of Shopping Mall Tourist Satisfaction in Bangkok Us...

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2023 International Conference on Cyber Management and Engineering, CyMaEn 2023

作者： Ladkoom, Kobthong Tarigan, Emiya Fefayosa Br Yasirandi, Rahmat Suwastika, Novian Anggis Anom, Rahmat Indra Pratama Makky, Muhammad Al Chandrakasem Rajabhat University Faculty of Science Bangkok Thailand Telkom University School of Computing Bandung Indonesia King Mongkut's Institute of Technology Ladkrabang Faculty of Information Technology Bangkok Thailand Universiti Teknologi Malaysia Razak Faculty of Technology and Informatics Kuala Lumpur Malaysia Doctoral Program of Tourism Trisakti School of Tourism Jakarta Indonesia

ISBN: (纸本)9781665493291

The tourism industry is very important to prioritize, especially for developing countries like Thailand. The increase in tourist visits to Bangkok also triggers the potential for a rise in Bangkok tourism during the pandemic. In this study, shopping malls are one of the attractive attractions for a capital city like Bangkok. Tourist expectations of attraction must be realized so that satisfaction can be realized and created revisit. In the digitalization era, the internet's use to find and disseminate information has become commonplace. *** is one of the leading review sites, which already has many reviewers, and is the case study in this research. Using Word Cloud as an analysis technique and clustering of data reviews, several important factors influence tourist satisfaction. Based on the 1186 clustered reviewers, several factors were produced, such as Place Quality, Location Access, Support Facilities, Price, and Seller Attitude. These factors can influence the decision to visit shopping malls in Bangkok because they represent tourist satisfaction. © 2023 IEEE.

关键词： Shopping centers

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A method on tracking common boundaries of color regions in function approximation-based image coding

A method on tracking common boundaries of color regions in f...

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IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

作者： T. Sugiyama P.W.H. Kwan K. Toraichi K. Katagishi Doctoral Program Graduate School of Systems and Information Engineering University of Tsukuba Japan Core Research for Evolutional Science & Technology Program Japan Science and Technology Corporation Japan Institute of Information Sciences and Electronics University of Tsukuba Japan

A boundary tracking method crucial to function approximation-based image coding is proposed that solves the problems caused by duplicate tracking the common boundaries of color regions when methods conventionally applied to bilevel raster images are inappropriately used. Experimental evaluation is performed to verify its effectiveness.

关键词： Function approximation Image coding Colored noise Color Image reconstruction Systems engineering and theory Electronic mail Performance evaluation Spline Internet

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Classification of Land Cover from Sentinel-2 Imagery Using Supervised Classification Technique (Preliminary Study)

Classification of Land Cover from Sentinel-2 Imagery Using S...

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International Conference on information Management and technology (ICIMTech)

作者： Eka Miranda Achmad Benny Mutiara Ernastuti Wahvu Catur Wibowo Information Systems Department Doctoral Program in Information Technology Gunadarma University Jakarta Indonesia Faculty of Computer Science and Information Technology Gunadarma University Jakarta Indonesia Computer Science Faculty Universitas Jakarta Indonesia

This paper intended to classify land cover of high-resolution satellite image using supervised classification method. The object of this research was the land cover image of the central java area in Indonesia which chosen as an area observed with the cloud cover consideration. The Satellite image was obtained from Sentinel-2 through https://***. Supervised Classification and ArcMap 10.5 was used to classified image object. This research classified the land cover into four classifications class namely Water, Forest, Urban and Bare Land due to show the main classes in the Land Cover Classification of RSNI-l National Standardization Body of Indonesia, RSNI-l was used as reference for classification process. The confusion matrix used to calculate classification accuracy value. Subsequently, confusion matrix results compared to the truth information. The truth information was derived from the actual value of RASTERVALUE obtained from Google Earth. This research shown supervised classification maximum-likelihood classification has been classified land cover into four class (forest, water body, urban and bare land) with overall accuracy = 1 and kappa value = 0.4896. This result showed this research got moderate kappa accuracy value but high overall accuracy value. High accuracy value reached due to fully supervised experiment during classification process.

关键词： Satellites Forestry Training Java Probability Standardization Vegetation mapping

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The design of an online information system of the check stage in plan-do-check-act cycle for evaluation of student learning in Taiwan Preschools 19

The design of an online information system of the check stag...

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3rd International Conference on E-Education, E-Business and E-technology, ICEBT 2019

作者： Huang, Huei-Ting Wongthai, Winai Doctoral Program of Educational Leadership and Technology Management Tamkang University No.151 Yingzhuan Rd. Tamsui Dist. New Taipei City25137 Taiwan Department of Computer Science and Information Technology Naresuan University 99 Moo 9 Phitsanulok-Nakhonsawan Road Tambon Tapho Muang Phitsanulok65000 Thailand

ISBN: (纸本)9781450372565

It is a hard job for two teachers to deal with 30 students in a preschool classroom in Taiwan. Teachers need to take photos and manage paper documents related to each student's activities and assessments, then print all of them to show to their parents. This is not an efficient and effective working style. In order to support e-education and mitigate these issues in the education domain via application of the Plan-Do-Check-Act (PDCA) cycle, this paper thoroughly investigates appropriate features of previous studies related to e-education and the PDCA computing system. It then proposes the design of an online information system for the "check" stage in the Plan-Do-Check-Act cycle or OISC for evaluating Taiwanese preschool students' learning. The design is simple and equipped with current technologies such as mobile applications. We provided the details of all components and technologies in this design and how the design works, which is arranged for participants to use as a blueprint of an e-education system such as OISC that can be built upon the participants' requirements. We believe that a system based on our design can help teachers to work effectively and efficiently. Thus, this paper can be regarded as an example of adopting an e-education approach to evaluating and enhancing students' learning performance. © 2019 ACM.

关键词： HTTP

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Reversible JPEG Data Hiding Based on EMD

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通讯和计算机（中英文版） 2012年第10期9卷 1135-1141页

作者： Wen-Chung Kuo Shao-Hung Kuo Department of Computer Science and Information Engineering National Yunlin University of Science & Technology Yunlin 672 Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Yunlin 640 Taiwan

As the rapid growth of smart phone technology, people have a lot of digital image information such as digital photos or videos. Both data hiding and data compression are very important technologies in image processing field. On the overview, it seems that there is no relationship between data hiding and data compression because data hiding mechanisms focus on information security and data compression mechanisms emphasize the compression ratio. However, the more secret data is embedded, the more capacity the stego image increases. Actually, they are closely related. Until now, there are many literatures to discuss the secret data how to be embedded into the media image and keeps the original capacity as soon as possible. In this paper, a reversible data hiding scheme based on EMD data hiding and JPEG (Joint Picture Experts Group) compression technology will be proposed. According to experimental results, the authors can prove that our proposed scheme maintains high embedding capacity, security and good compression ratio.

关键词：数据隐藏 JPEG EMD 可逆数字图像信息数据嵌入压缩技术数据压缩

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Fuzzy Fusion for Affective State Assessment in Distance Learning Based on Image Detection

Fuzzy Fusion for Affective State Assessment in Distance Lear...

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2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Kuoan Hwang Chiahao Yang Department of Computer Science and Information Engineering & Graduate Institute of Networking and Co Graduate Institute of Informatics Doctoral program Chaoyang University of Technology

Distance learning is a learning style that can overcome the limitation of time and space. Because of the distance, teachers can not handle the student's learning situation, and they do not know whether the student is attentive, drowsy or absent. If teachers can know the student's affective state, they can overcome the difficult. The research applies the image recognition technologies to capture the face images of students when they are learning and analyzes their face features to evaluate the student's affective state by Fuzzy Integral. Finally, teachers can monitor the student's behavior by the detection results on the system interface.

关键词： Distance learning Skin Computers Distance measurement Face Image color analysis Education

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Authenticated secret sharing scheme based on GMEMD

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2016年 9569卷 395-405页

作者： Kuo, Wen-Chung Kuo, Shao-Hung Chang, Hong-Yi Wuu, Lih-Chyau Department of Computer Science and Information Engineering National Yunlin University of Science and Technology Douliu Taiwan Graduate School of Engineering Science and Technology Doctoral Program National Yunlin University of Science and Technology Douliu Taiwan

ISBN: (纸本)9783319319599

In secret image sharing schemes, all legal participants provide legitimate shared images and then they can extract the correct secret message. Recently, Wu et al. proposed a high quality data hiding secret sharing scheme with authentication ability. The major contribution of this scheme maintains good stego image quality while being able to verify secret message integrity. However, to ensure the process can work, the secret image’s pixel values larger than 250 must be changed to 250 for Wu’s scheme. Otherwise, extracting the secret image may fail. In other words, for a secret image, a few errors do not make the big difference but it could be distorted severely for some sensitive secrets. In order to improve this shortcoming, a secret image sharing scheme based on General Multi-Exploiting Modification Direction (GMEMD) data hiding technology will be proposed in this paper. According to simulation results and analysis, we can show that the stego image quality in Wu et al.’s scheme or our proposed scheme is larger than 43dB. We also demonstrate the authentication capability to find unauthorized participants. Furthermore, if all participants are legitimate, then the proposed scheme can extract the secret completely without any distortion. © Springer International Publishing Switzerland 2016.

关键词： Authentication

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Single-cell transcriptomics uncovers EGFR signaling-mediated gastric progenitor cell differentiation in stomach homeostasis (vol 14, 3750, 2023)

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NATURE COMMUNICATIONS 2023年第1期14卷 1-16页

作者： Takada, Hitomi Sasagawa, Yohei Yoshimura, Mika Tanaka, Kaori Iwayama, Yoshimi Hayashi, Tetsutaro Isomura-Matoba, Ayako Nikaido, Itoshi Kurisaki, Akira Laboratory of Stem Cell Technologies Graduate School of Science and Technology Nara Institute of Science and Technology Takayama-cho Ikoma Nara Japan Laboratory for Bioinformatics Research RIKEN Center for Biosystems Dynamics Research Wako Saitama Japan Department of Functional Genome Informatics Biological Data Science Medical Research Institute Tokyo Medical and Dental University Bunkyo Tokyo Japan Master’s/Doctoral Program in Life Science Innovation (Bioinformatics) Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan

Defects in gastric progenitor cell differentiation are associated with various gastric disorders, including atrophic gastritis, intestinal metaplasia, and gastric cancer. However, the mechanisms underlying the multilineage differentiation of gastric progenitor cells during healthy homeostasis remain poorly understood. Here, using a single-cell RNA sequencing method, Quartz-Seq2, we analyzed the gene expression dynamics of progenitor cell differentiation toward pit cell, neck cell, and parietal cell lineages in healthy adult mouse corpus tissues. Enrichment analysis of pseudotime-dependent genes and a gastric organoid assay revealed that EGFR-ERK signaling promotes pit cell differentiation, whereas NF-κB signaling maintains gastric progenitor cells in an undifferentiated state. In addition, pharmacological inhibition of EGFR in vivo resulted in a decreased number of pit cells. Although activation of EGFR signaling in gastric progenitor cells has been suggested as one of the major inducers of gastric cancers, our findings unexpectedly identified that EGFR signaling exerts a differentiation-promoting function, not a mitogenic function, in normal gastric homeostasis.

关键词： Adult stem cells Stem-cell differentiation Stem-cell niche

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Leveraging Heart Rate Variability and Machine Learning for Daily Activity Classification in Healthy Adult Males

Leveraging Heart Rate Variability and Machine Learning for D...

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International Conference on Telecommunication Systems, Services, and Applications (TSSA)

作者： Vidya Ikawati Rahadian Yusuf Ary Setijadi Prihatmanto Tatang Sudrajat Didin Saepudin Welly Surjono Doctoral Program of School of Electrical and Information Engineering Institute of Technology Bandung Bandung Indonesia Departement of Electrical and Information Engineering Institute of Technology Bandung Bandung Indonesia Universitas Sangga Buana Bandung Indonesia

ISBN: (数字)9798331527686

ISBN: (纸本)9798331527693

Advancements in machine learning techniques for analyzing heart rate variability (HRV) show great potential in accurately measuring various activities in the field of health monitoring. This work examines the feasibility of using non-invasive HRV data gathered during everyday activities to train machine learning models for accurate activity classification. In the field of personalization, the study focuses on the difficulty of adapting to individual differences in baseline HRV. It also acknowledges that HRV is influenced by stress, physical activity, and external influences, and that it is a dynamic measure. The experimental methodology consists of a pilot study using a retrospective observational cohort approach. It utilizes a waistband device to continuously record heart rate variability (HRV) during different daily activities. The study utilizes a thorough methodology that includes statistical data description, correlation analysis, variance analysis, outlier detection, and identification of cycle periods using power spectral density. The performance of various machine learning models, such as Random Forest, Naïve Bayes, Decision Tree, and Logistic Regression, was evaluated for activity classification. The Decision Tree model exhibited superior performance. The work provides useful insights into the potential of machine learning for HRV-based activity monitoring, highlighting the importance of collecting reliable data and developing tailored models to improve accuracy and practicality.

关键词： Accuracy Databases Data models Telecommunications Decision trees Reliability Heart rate variability Monitoring Stress Stress measurement

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