2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第3页

Effectiveness of a low-cost VR simulator for emergency management training in dental surgery 低成本虚拟现实模拟器在牙科外科应急管理培训中的有效性

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457353

Nat Sararit, P. Haddawy, S. Suebnukarn

引用次数: 4

ICGdb: An Integrative Cancer Genomic Database ICGdb:一个整合的癌症基因组数据库

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457360

Nilubon Kurubanjerdjit

引用次数: 0

JCSSE 2018 Cover Page JCSSE 2018封面

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/jcsse.2018.8457344

引用次数: 0

Content-independent steganography and steganalysis of JPEG images JPEG图像的内容独立隐写和隐写分析

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457337

Mohammad Rezaei, M. Salahshoor

引用次数: 2

Impact of Noise and Complexity on Targeted Image Steganalysis 噪声和复杂度对目标图像隐写分析的影响

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457345

H. Imani, Mohammad Rezaei

{"title":"Impact of Noise and Complexity on Targeted Image Steganalysis","authors":"H. Imani, Mohammad Rezaei","doi":"10.1109/JCSSE.2018.8457345","DOIUrl":"https://doi.org/10.1109/JCSSE.2018.8457345","url":null,"abstract":"The changes made by steganography to an image can be considered as noise addition. A fundamental question is how well targeted steganalytic methods distinguish between the stego signal and naturally occurring noise in images. Moreover, several researchers have proposed steganographic methods that hide the message data in the complex regions of images. They argue that those regions are more secure for data hiding. However, no systematic experiments, to the best of our knowledge, have been presented to confirm the claims. This paper provides an experimental study to answer the questions about the impact of noise and complexity on the performance of targeted steganalytic methods. Three well-known targeted steganalytic methods are tested when spatial domain steganography is considered. Three types of noise at different levels are added to images, and two groups of complex and non-complex images are considered. Our experiments show a significant decrease in the detection accuracy of all the selected steganalytic methods for complex images. The methods demonstrate different responses to different noise types. Their performance degrades the most by Gaussian, and the least by salt & pepper noise.","PeriodicalId":338973,"journal":{"name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173077","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

Images Based Classification for Warm Cloud Rainmaking using Convolutional Neural Networks 基于图像的基于卷积神经网络的暖云降雨分类

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457398

Sarawut Arthayakun, Suwatchai Kamonsantiroj, Luepol Pipanmaekaporn

{"title":"Images Based Classification for Warm Cloud Rainmaking using Convolutional Neural Networks","authors":"Sarawut Arthayakun, Suwatchai Kamonsantiroj, Luepol Pipanmaekaporn","doi":"10.1109/JCSSE.2018.8457398","DOIUrl":"https://doi.org/10.1109/JCSSE.2018.8457398","url":null,"abstract":"This paper is an experiment conducted on deep learning technique, which is currently popular and efficient in the field of image classification. The Convolutional Neural Networks (CNNs) has been achieved in many tasks of image classification and used to classify cloud images for meteorology task. The CNNs can be applied to classify rainmaking cloud images. There are three steps of warm clouds: fattening, attacking, and enhancing. The challenge in this work is the images required for classification are very similar. That means the sampling images are the images of cloud in the same type but difference at the formation stage, while the image shooting format and equipment is not fixed. The images are taken with varying degrees of angle, height, lightness and resolution. From the experimental results, it was found that CNNs had prominent characteristics for learning to extract the necessary attributes used in solving problem along with self-classification, leading to the developed model had higher accurate classification than traditional method around 5–8%.","PeriodicalId":338973,"journal":{"name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131356591","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: 0

AR Development For Room Design 房间设计的AR开发

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457343

Peeranut Reuksupasompon, Maytichai Aruncharathorn, Sirion Vittayakorn

{"title":"AR Development For Room Design","authors":"Peeranut Reuksupasompon, Maytichai Aruncharathorn, Sirion Vittayakorn","doi":"10.1109/JCSSE.2018.8457343","DOIUrl":"https://doi.org/10.1109/JCSSE.2018.8457343","url":null,"abstract":"Arranging your furniture correctly can be the difference between having a cramped, gloomy, impractical space and a cozy, elegant and functional room. Although everyone wants their place to be functional and stylish, room design demands time and expertise. While there are extensive systems for room and layout design, most of them require users to drag and drop the 3D furniture models into their 3D room, modify the furniture size/color/texture or change the camera viewpoint around to see their newly designed room from different perspectives by means of the mobile phones or tablets screen. These complications diminish the user satisfaction as well as restrict synchronous collaboration among multiple users. In this work, we propose a system for designing a furniture layout based on the augmented reality technology. Given the room floor plan and multiple QR markers, users are able to physically move their furniture (each QR marker corresponds to a 3D furniture model) around the limited space (inside the specific area defined by the room plan) to design their own functional and stylish room layout. Finally, We demonstrate that our system can not only alleviate the difficulties of existing room design systems, but also amplify the users satisfaction of room design application. Moreover, we posit that it will encourage co-design from simultaneous multiple users.","PeriodicalId":338973,"journal":{"name":"2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134153149","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: 5

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/jcsse.2018.8457379

引用次数: 0

Stochastic Link-Fault-Tolerant Routing In A Torus 环面的随机链路容错路由

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457367

S. Kuramochi, Yu-on Chatchakan, Kousuke Mouri, K. Kaneko

引用次数: 2

An Analysis of High-Value Datasets: A Case Study of Thailand’s Open Government Data 高价值数据集分析:以泰国政府开放数据为例

2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2018-07-01 DOI: 10.1109/JCSSE.2018.8457350

Piriya Utamachant, Chutiporn Anutariya

引用次数: 12