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2018 5th NAFOSTED Conference on Information and Computer Science (NICS)最新文献

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Nonnegative Tensor Decomposition for EEG Epileptic Spike Detection 非负张量分解在脑电图癫痫峰检测中的应用
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606822
Nguyen Thi Anh-Dao, Thanh Trung LE, N. Linh-Trung, Ha Vu Le
{"title":"Nonnegative Tensor Decomposition for EEG Epileptic Spike Detection","authors":"Nguyen Thi Anh-Dao, Thanh Trung LE, N. Linh-Trung, Ha Vu Le","doi":"10.1109/NICS.2018.8606822","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606822","url":null,"abstract":"Tensor decomposition can be used for analyzing multi- channel EEG signals in epilepsy diagnosis. We propose a new tensor-based approach to detect epileptic spikes in EEG data. Nonnegative Tucker decomposition was applied to analyze multi-domain features of EEG epileptic and non-epileptic spikes. An EEG feature extraction method was proposed, based on estimating the so-called “eigenspikes.” The Fisher score was employed for feature selection. KNN and NB classifiers were used on the extracted features to separate epileptic spikes from non- epileptic spikes, and classification results were compared with those of the Phan-Cichoki method. Experimental results showed that our proposed method is efficient in detecting epileptic spikes.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121128412","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
Implementation of IDMA System with Multiple Access Channel and non-Gaussian Noise 具有非高斯噪声的多址信道IDMA系统的实现
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606887
B. Vuong, Hung Ngoc Do
{"title":"Implementation of IDMA System with Multiple Access Channel and non-Gaussian Noise","authors":"B. Vuong, Hung Ngoc Do","doi":"10.1109/NICS.2018.8606887","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606887","url":null,"abstract":"Non-orthogonal multiple access (NOMA) has been proposed as one of the efficient techniques to build essential components of the modern mobile networks. The expected advance of NOMA system is the improvement of possible spectrum when compared with the classical orthogonal multiple access (OMA). Interleave division multiple access (IDMA) is a very low code rate NOMA scheme which has been used as a new version of the third generation (3G) wideband CDMA system in recent years. Moreover, it can be a promised candidate for potential use in the fifth generation (5G) because it explores the possibility to share frequency, time resources and spreading codes. In this paper, we evaluate the effect of non-Gaussian noise to the IDMA system with multiple access channel. In particular, the bit error rate (BER) will be used to compare the performance of different simulation scenarios.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458227","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
Deep Learning-based Multiple Objects Detection and Tracking System for Socially Aware Mobile Robot Navigation Framework 基于深度学习的社会感知移动机器人导航框架多目标检测与跟踪系统
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606878
Do Nam Thang, L. A. Nguyen, Pham Trung Dung, Truong Dang Khoa, Nguyen Huu Son, Nguyen Tran Hiep, Pham Van Nguyen, Vu Duc Truong, Dinh Hong Toan, N. Hung, T. Ngo, Xuan-Tung Truong
{"title":"Deep Learning-based Multiple Objects Detection and Tracking System for Socially Aware Mobile Robot Navigation Framework","authors":"Do Nam Thang, L. A. Nguyen, Pham Trung Dung, Truong Dang Khoa, Nguyen Huu Son, Nguyen Tran Hiep, Pham Van Nguyen, Vu Duc Truong, Dinh Hong Toan, N. Hung, T. Ngo, Xuan-Tung Truong","doi":"10.1109/NICS.2018.8606878","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606878","url":null,"abstract":"Multiple objects (including humans) detection and tracking system plays an essential role in socially aware mobile robot navigation framework. Because, it provides an important input for the remaining modules of the framework. In this paper, we propose an efficient multiple objects detection and tracking system for mobile service robots in dynamic social environments using deep learning techniques. The proposed system consists of two steps: (1) multiple objects detection, and (2) multiple objects tracking. In the first step, the RGB image-based multiple objects detection is made use of to detect objects in the mobile robot's vicinity using a convolutional neural network. In the second stage of system, the detected objects are tracked using a deep simple online and realtime tracking technique. The experimental results indicate that, the proposed system is capable of detecting and tracking multiple objects including humans, providing significant information for the socially aware mobile robot navigation framework.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114893790","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
Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter 基于自适应正则化参数的全变分L1保真度椒盐去噪
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606870
D. N. Thanh, V. B. Surya Prasath, L. Thanh
{"title":"Total Variation L1 Fidelity Salt-and-Pepper Denoising with Adaptive Regularization Parameter","authors":"D. N. Thanh, V. B. Surya Prasath, L. Thanh","doi":"10.1109/NICS.2018.8606870","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606870","url":null,"abstract":"Total variation (TV) is an effective tool to solve the image denoising and many other image processing problems. For the denoising problem, it is necessary to create automatic image processing methods based on parameters estimation of the corresponding models. For TV image denoising problem, almost methods focus on TV-L2 norm. The works for parameter estimation of denoising model based on TV-L1 norm is very little. The denoising model with TV-L1 norm is impressive to treat the salt-and-pepper noise. In this paper, we propose a parameter estimation method based on characteristics of the salt-and-pepper noise. This method is especially effective for the images without very high contrast and with high noise level. We will handle the comparison to other salt-and-pepper denoising methods, such as TV-L1 method and the BPDF method to prove the effectiveness of the proposed parameter estimation method for the adaptive TVL1 denoising model.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130336306","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: 17
Building Vietnamese Linguistic Resources for Social Network Text Analysis 构建越南语社会网络文本分析语言资源
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606863
The-Tuyen Nguyen, X. Vu, Phuong Le-Hong
{"title":"Building Vietnamese Linguistic Resources for Social Network Text Analysis","authors":"The-Tuyen Nguyen, X. Vu, Phuong Le-Hong","doi":"10.1109/NICS.2018.8606863","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606863","url":null,"abstract":"In this paper, we report our work on building linguistic resources for Vietnamese social network text analysis in multiple domains. We first describe our annotation methodology including guidelines development, annotation softwares and quality assurance. We then present results of the first pilot phase of the project. Finally, we outline some perspectives of our ongoing corpus development and their expected results.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116263262","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
Planar Object Recognition For Bin Picking Application 平面物体识别在拣箱中的应用
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606884
L. Hanh, Le Minh Duc
{"title":"Planar Object Recognition For Bin Picking Application","authors":"L. Hanh, Le Minh Duc","doi":"10.1109/NICS.2018.8606884","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606884","url":null,"abstract":"This paper aims to present a vision-based bin picking system for assembly line in industry. The objects are flat, unique color and occluded each other inside a bin. The whole picking process is divided into two stages. At 3D localization stage, an estimation process using 3D data segment by Euclidean algorithm and calculating surface normal are proposed to estimate angle and position of an object. To reduce the burden time of 3D pose estimation, a voxel grid filter is implemented to reduce the number of points for the 3D cloud of the objects. As known the 3D image in bin often involves both heavy noise and edge distortions, so to prepare for the assembly a 5DOF robot will pick and place it in 2D table then an 2D camera is used to estimate the pose of the object correctly. To prove the efficiency of proposed system that can pick up all objects in the bin a series of experiments on a 6-axis robot are implemented.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121971006","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: 6
Hardware Trojan Threat and Its Countermeasures 硬件木马威胁及其应对措施
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606872
X. Ngo, Van‐Phuc Hoang, Han Le Duc
{"title":"Hardware Trojan Threat and Its Countermeasures","authors":"X. Ngo, Van‐Phuc Hoang, Han Le Duc","doi":"10.1109/NICS.2018.8606872","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606872","url":null,"abstract":"Hardware Trojan (HT) is a new threat in the embedded system domain. It is malicious modification of a design during its conception flow. Once inserted, it can create many critical attacks on a system. Therefore, HT inserted in integrated circuits have received special attention of researchers. In this paper, we will first introduce the concept of HT. Then, we will give a summary of HT detection methods including optical methods, testing methods, Side-Channel methods. Finally, we will focus on the Side-Channel methods and our perspectives for the future work.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122262899","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: 6
Parsing out in English and Vietnamese 解析英语和越南语
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606823
N. Duffield
{"title":"Parsing out in English and Vietnamese","authors":"N. Duffield","doi":"10.1109/NICS.2018.8606823","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606823","url":null,"abstract":"Here I outline an alternative approach to two types of minimal contrast in sentence acceptability that have previously been described in terms of abstract formal grammatical mechanisms, namely, that-trace effects in English, and wh-island effects in Vietnamese. This alternative treatment—parsing out—is argued to be preferable to standard analyses, inasmuch as it makes use of independently needed principles to yield equivalent or even superior empirical coverage.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"375 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131763081","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: 1
Towards a Compositional Semantics for L+H*LH% 关于L+H*LH%的组合语义
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606833
Marie-Christine Meyer
{"title":"Towards a Compositional Semantics for L+H*LH%","authors":"Marie-Christine Meyer","doi":"10.1109/NICS.2018.8606833","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606833","url":null,"abstract":"This talk will present a formal theory about how certain melodies of speech influence the meaning of a given sentence","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133617535","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
Reconfigurable Mode Converter Using Two Silicon Y-Junction Couplers for Mode Division Multiplexing Network 模分复用网络中使用两个硅y结耦合器的可重构模式转换器
2018 5th NAFOSTED Conference on Information and Computer Science (NICS) Pub Date : 2018-11-01 DOI: 10.1109/NICS.2018.8606835
Linh Duc Tam Ho, D. Quang, D. C. Truong, H. N. Tan
{"title":"Reconfigurable Mode Converter Using Two Silicon Y-Junction Couplers for Mode Division Multiplexing Network","authors":"Linh Duc Tam Ho, D. Quang, D. C. Truong, H. N. Tan","doi":"10.1109/NICS.2018.8606835","DOIUrl":"https://doi.org/10.1109/NICS.2018.8606835","url":null,"abstract":"Mode converters are one of the most fundamental and indispensable components in the mode division multiplexing system. We design a new mode converter that is capable of converting between mode TE0 to TE1/TE2 or TE1 to TE1/TE2 with the performance achieved in both cases over 99% at the wavelength 1550nm. Not only conversion efficiency is high but also the effect of the unwanted modes at the output is very small, it is always below 0.03dB. In addition, with outstanding advantages of the proposed structure such as large manufacturing tolerances and compact size will be good candidate for applications in on-chip MDM network.","PeriodicalId":137666,"journal":{"name":"2018 5th NAFOSTED Conference on Information and Computer Science (NICS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114960804","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: 3
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