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2016 IEEE 5th Global Conference on Consumer Electronics最新文献

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XSS detection with automatic view isolation on online social network XSS检测与在线社交网络上的自动视图隔离
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800354
Pooja Chaudhary, B. Gupta, S. Yamaguchi
Online Social Networks (OSNs) are continuously suffering from the negative impact of Cross-Site Scripting (XSS) vulnerabilities. This paper describes a novel framework for mitigating XSS attack on OSN-based platforms. It is completely based on the request authentication and view isolation approach. It detects XSS attack through validating string value extracted from the vulnerable checkpoint present in the web page by implementing string examination algorithm with the help of XSS attack vector repository. Any similarity (i.e. string is not validated) indicates the presence of malicious code injected by the attacker and finally it removes the script code to mitigate XSS attack. To assess the defending ability of our designed model, we have tested it on OSN-based web application i.e. Humhub. The experimental results revealed that our model discovers the XSS attack vectors with low false negatives and false positive rate tolerable performance overhead.
在线社交网络(Online Social Networks, osn)一直受到跨站点脚本(Cross-Site Scripting, XSS)漏洞的负面影响。本文描述了一种新的框架,用于减轻基于osn平台上的跨站攻击。它完全基于请求身份验证和视图隔离方法。该算法利用跨站攻击向量库实现字符串检测算法,对网页中存在的易受攻击的检查点提取的字符串值进行验证,从而检测跨站攻击。任何相似(即字符串未验证)表明存在攻击者注入的恶意代码,最后删除脚本代码以减轻XSS攻击。为了评估我们设计的模型的防御能力,我们在基于osn的web应用程序上进行了测试,即Humhub。实验结果表明,我们的模型发现了具有低假阴性和假阳性率的XSS攻击向量,可以容忍性能开销。
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引用次数: 7
An orthogonal matching pursuit processor for sparse-representation-based light field data compression 基于稀疏表示的光场数据压缩正交匹配追踪处理器
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800345
Yang-Ming Yeh, Chi-Ming Yeh, Ying-Yu Tseng, Yi-Chang Lu
Light field raw data collected from a camera array require large storage space on disks. To compress light field data, sparse representation is regarded as one of the top choices. In this paper, we design an Orthogonal Matching Pursuit (OMP) processor to improve computing time for finding sparse representation. The chip operates at 400 MHz and achieves 5 times speed-up when compared to the software version.
从相机阵列收集的光场原始数据需要在磁盘上有很大的存储空间。为了压缩光场数据,稀疏表示被认为是首选方法之一。在本文中,我们设计了一个正交匹配追踪(OMP)处理器来改善寻找稀疏表示的计算时间。该芯片的工作频率为400mhz,与软件版本相比,速度提高了5倍。
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引用次数: 0
A resource-constrained HCRF modeling for a large-scale speaker identification task 大规模说话人识别任务的资源约束HCRF建模
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800517
W. Hong
This paper proposes an efficient algorithm on the training of hidden conditional random fields (HCRFs) for large-scale speaker recognition in which a speaker identification task with around 1000 speakers is investigated. HCRFs are a type of direct models in pattern recognition and thus iterative procedures are usually required to estimate the model parameters. The key method in this paper is to perform the optimization alternatively between the native direct models (HCRFs) and their approximated generative models (i.e., the equivalent HMMs of HCRFs). By this framework, a constrained optimization method is proposed which makes the training process of speaker models consumes less computation resources than the one by the conventional HCRF training scheme. The experimental results indicate that the proposed method enjoys potential benefits for development in resource-constrained speaker recognition.
本文提出了一种用于大规模说话人识别的隐藏条件随机场(HCRFs)训练算法,研究了1000人左右的说话人识别任务。hcrf是模式识别中的一种直接模型,因此通常需要迭代过程来估计模型参数。本文的关键方法是在原生直接模型(HCRFs)及其近似生成模型(即HCRFs的等效hmm)之间交替进行优化。在此框架下,提出了一种约束优化方法,使说话人模型的训练过程比传统HCRF训练方案消耗更少的计算资源。实验结果表明,该方法在资源受限的说话人识别领域具有潜在的发展潜力。
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引用次数: 0
A preliminary study of test case generation by CafeOBJ rewrite specifications 对CafeOBJ重写规范生成测试用例的初步研究
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800419
Masaki Nakamura
In the OTS/CafeOBJ method, systems are described in CafeOBJ algebraic specification language, and verified by using equational reasoning. A proof score is a script of verification. We have proposed a method which generate skeleton Java codes and test cases from specifications and proof scores, however, test cases generated from the method are not complete, that is, there are blanks to be filled to be executed. In this study, we propose a way to instantiate the generated test cases by using CafeOBJ rewrite specifications and search command to obtain a test case generation method which generate executable test cases.
在OTS/CafeOBJ方法中,用CafeOBJ代数规范语言对系统进行描述,并利用方程推理对系统进行验证。证明分数是验证的脚本。我们已经提出了一种从规范和证明分数中生成框架Java代码和测试用例的方法,然而,从该方法生成的测试用例是不完整的,也就是说,有空白需要填充来执行。在本研究中,我们提出了一种使用CafeOBJ重写规范和搜索命令对生成的测试用例进行实例化的方法,以获得生成可执行测试用例的测试用例生成方法。
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引用次数: 2
Interworking of NDN with IoT architecture elements: Challenges and solutions NDN与物联网架构要素的互联:挑战与解决方案
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800509
S. K. Datta, C. Bonnet
The Internet of Things (IoT) ecosystem can immensely benefit from the Named Data Networking (NDN) paradigm. But interworking between the two paradigms is often challenged due to their intrinsic features. This paper attempts to identify the challenges, proposes their solutions to highlight the interworking of NDN with previously developed DataTweet IoT architecture elements. Our main contribution is in proposing a naming convention to create the interest packets in NDN from consumer systems. A prototype of the overall system is developed which is deployed in a real test bed. The performance evaluation strongly supports the proposed interworking.
物联网(IoT)生态系统可以从命名数据网络(NDN)范式中受益匪浅。但由于两种范式的内在特征,它们之间的相互作用经常受到挑战。本文试图确定挑战,提出解决方案,以突出NDN与先前开发的DataTweet物联网架构元素的互连。我们的主要贡献是提出了一个命名约定,以便在NDN中从消费者系统创建兴趣包。开发了整个系统的原型,并在实际测试台上进行了部署。性能评估强烈支持提议的互联。
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引用次数: 5
Image recognition for automatic traveling wheelchair 自动移动轮椅的图像识别
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800358
Keisuke Yamada, Taito Takeuchi, T. Goto, S. Hirano
In this paper, we propose a position estimation method utilizing image recognition for an automatic traveling wheelchair. The proposed method includes image magnification to extend the recognition distance and image recognition to estimate the position by utilizing a relationship in which the size of the object in an image is inversely proportional to the distance between the camera and the object. Experimental results show that the proposed method improves the recognition distance and estimates the position accurately.
本文提出了一种基于图像识别的自动轮椅位置估计方法。所提出的方法包括图像放大以延长识别距离和图像识别以利用图像中物体的大小与相机与物体之间的距离成反比的关系来估计位置。实验结果表明,该方法提高了识别距离,准确估计了目标位置。
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引用次数: 1
Evaluation of feedback conditions in the noncontact operation 非接触操作中反馈条件的评估
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800379
Kenta Amahaya, Keiya Sugihara, Kohei Okuda, Keita Watanabe, N. Nakamichi
We evaluated usability by feedback of human senses ("Sight", "Hearing", and "Haptics") in non-contact operation system using non-contact display. We performed the experiments in conditions of single, double and all human senses (totally seven conditions). In the experiments, distance between feedback threshold and reaction points, number of operation error and time of operation task were used as evaluation measurements. And we performed the experiment with changing number of tiles for 3 days. There were differences significantly between some feedback conditions. These combination of feedback conditions are "Sight" and "Hearing", "Sight" and "Touch", "Sight" and "Hearing, Touch" feedback conditions. From the result, we consider that feedbacks including Sight is effective in non-contact operation system.
我们通过非接触式显示器对非接触式操作系统中人类感官(“视觉”、“听觉”和“触觉”)的反馈来评估可用性。我们在单、双、全人类感官条件下(共7种条件)进行实验。实验中以反馈阈值与反应点的距离、操作错误次数和操作任务时间作为评价指标。我们进行了为期3天的改变瓷砖数量的实验。一些反馈条件之间存在显著差异。这些反馈条件的组合是“视觉”和“听觉”,“视觉”和“触觉”,“视觉”和“听觉,触觉”反馈条件。从结果来看,包括Sight在内的反馈在非接触式操作系统中是有效的。
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引用次数: 0
A 1.3 V noise-cancelling low noise amplifier for ultra wideband applications 1.3 V降噪低噪声放大器,用于超宽带应用
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800317
Li-Wei Chen, R. Weng, R. Huang, Shih-Kai Chen
An ultra wideband (UWB) noise-cancelling low-noise amplifier (NCLNA) is proposed in this paper. A common-gate input stage with an input matching network is implemented to make input resistance matching to 50-ohm. The power consumption of the presented NCLNA can be lower by using current-reuse architecture. A noise cancelling technique is adopted to decrease the noise generated by the first common-gate stage. The designed NCLNA is implemented in 180 nm CMOS technology. The simulated results show that the noise figure is among 2.65-3.45 dB within the full bandwidth of 3.1-10.6 GHz. The maximum gain is 15.33 dB in the desired UWB band. Both the input and output reflection coefficients are below -10 dB. The linearity IIP3 is -5.5 dBm at 6 GHz. The core circuit consumption is 9.13mW under a 1.3 V supply voltage.
提出了一种超宽带(UWB)降噪低噪声放大器(NCLNA)。实现具有输入匹配网络的共门输入级,使输入电阻匹配到50欧姆。采用电流复用结构可以降低NCLNA的功耗。采用消噪技术来降低第一共门级产生的噪声。设计的NCLNA采用180nm CMOS技术实现。仿真结果表明,在3.1 ~ 10.6 GHz全带宽范围内,噪声系数在2.65 ~ 3.45 dB之间。在期望的UWB频段中,最大增益为15.33 dB。输入和输出反射系数均低于- 10db。在6 GHz时,线性度IIP3为-5.5 dBm。在1.3 V电源电压下,核心电路功耗为9.13mW。
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引用次数: 1
Decision level fusion-based team tactics estimation in soccer videos 基于决策层次融合的足球视频球队战术估计
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800334
Genki Suzuki, Sho Takahashi, Takahiro Ogawa, M. Haseyama
A decision-level fusion (DLF)-based team tactics estimation method in soccer videos is newly presented. In our method, tactics estimation based on audio-visual and formation features is newly adopted since the tactics of the soccer game are closely related to the audio-visual sequences and player positions. Therefore, by using these features, we classify the tactics via Support Vector Machine (SVM). Furthermore, by applying DLF to the SVM-based classification results, the two modalities are integrated to obtain more accurate tactics estimation results. Some results of experiments verify the superiority of our method.
提出了一种基于决策层融合(DLF)的足球视频球队战术估计方法。由于足球比赛的战术与视听序列和球员位置密切相关,本文的方法采用了基于视听和阵型特征的战术估计方法。因此,利用这些特征,我们通过支持向量机(SVM)对战术进行分类。进一步,将DLF应用到基于svm的分类结果中,将两种模式相结合,得到更准确的战术估计结果。一些实验结果验证了该方法的优越性。
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引用次数: 4
CNTFET modeling and low power SRAM cell design CNTFET建模和低功耗SRAM单元设计
Pub Date : 2016-10-01 DOI: 10.1109/GCCE.2016.7800437
Amandeep Singh, M. Khosla, B. Raj
This paper presents compact model for carbon nanotube field effect transistor (CNTFET) which is derived from electronic structure of carbon nanotube (CNT). Complete current transport model is developed from carrier concentration in CNT for different chirality. The model describes the variation of charge developed on CNT with gate voltage. I-V characteristics have been efficiently modeled and compact model is developed for HSPICE circuit simulations. Finally 6T static random access memory (SRAM) cell is designed with developed model and analysis is done for various performance metrics. Results show that CNTFET based 6T-SRAM consumes very less standby power with high static noise margins.
从碳纳米管(CNT)的电子结构出发,提出了碳纳米管场效应晶体管(CNTFET)的紧凑模型。从载流子浓度出发,建立了不同手性碳纳米管中完整的电流输运模型。该模型描述了碳纳米管上电荷随栅极电压的变化。有效地模拟了电路的I-V特性,并建立了用于HSPICE电路仿真的紧凑模型。最后设计了6T静态随机存取存储器(SRAM)单元,并对其性能指标进行了分析。结果表明,基于CNTFET的6T-SRAM的待机功耗非常低,且具有较高的静态噪声裕度。
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引用次数: 5
期刊
2016 IEEE 5th Global Conference on Consumer Electronics
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