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TENCON 2018 - 2018 IEEE Region 10 Conference最新文献

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Affine Differential Local Mean ZigZag Pattern for Texture Classification 仿射微分局部平均之字形纹理分类
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650316
S. K. Roy, D. Ghosh, R. Pal, B. Chaudhuri
The texture classification is a significant problem in the area of pattern recognition. This work proposes a novel Affine Differential Local Mean ZigZag Pattern (ADLMZP) descriptor for texture classification. The proposed method has two manifolds: first Local Mean ZigZag Pattern (LMZP) map is calculated by thresholding the 3 × 3 patch neighbor intensity values with respect to path mean but in a ZigZag weighting fashion, which provides a well discriminated descriptor compared to other local binary descriptors. The local micropattern is obtained by comparing neighbor intensity values with respect to path mean which makes the descriptor robust against noise and illumination variations. Secondly, in order to make it invariant to affine changes, we incorporated an affine differential transformation along with affine gradient magnitude information of a texture image which is differed from Euclidean Gradient. The final ADLMZP descriptor is generated by concatenating the histograms of all Affine Differential Local Mean ZigZag maps. The results are computed over well known KTH-TIPS, Brodatz, and CUReT texture datasets and compared with the state-of-the-art texture classification methods.
纹理分类是模式识别领域的一个重要问题。本文提出了一种新的仿射微分局部平均之字形(ADLMZP)纹理分类描述符。所提出的方法有两个流形:第一个LMZP (Local Mean ZigZag Pattern)映射是通过相对于路径均值的3 × 3 patch邻居强度值的阈值来计算的,但采用ZigZag加权方式,与其他局部二进制描述符相比,它提供了一个很好的区分描述符。局部微图是通过比较相邻强度值相对于路径均值得到的,这使得描述子对噪声和光照变化具有鲁棒性。其次,为了使其不受仿射变化的影响,我们将纹理图像的仿射微分变换与仿射梯度的大小信息结合起来,这与欧几里得梯度不同;最终的ADLMZP描述符是通过连接所有仿射微分局部平均之字形图的直方图生成的。结果在已知的KTH-TIPS、Brodatz和CUReT纹理数据集上进行计算,并与最先进的纹理分类方法进行比较。
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引用次数: 3
Inference Analysis of Dry Rubber Content Inductive Properties in Discriminating of White Root Disease 干胶含量对白根病判别的诱导特性推断分析
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650229
Ummu Raihan Yussuf, J. Johari, Muhammad Erfan Elias, N. E. Abdullah
This paper is focuses on designing and constructing hardware to measure inductivity for discriminating White Root Disease (WRD) from Dry Rubber Content (DRC) sheets. Five types of clones, which are RRIM 3001, RRIM 2008, RRIM 2007, RRIM 2014 and RRIM 2002 were used for this research. The crude inductive sensor used as an inductor with value of 470µH and act as an actual value measurement. The variation of 470µH inductor determines the changes of inductivity from the magnetic field produce by the inductor to the material. The hardware also consists of Arduino microcontroller-based programmed with a formula for inductance value measurement. The device tested at a specific workspace in order to keep the measurement correctly tested. For the discrimination process of data, the data undergoes the normality distribution test using the SPSS software. The analysis disclosed that the data were not normally distributed with a significant level at 0.00. Therefore, the Non-Parametric test which is Kruskal-Wallis test need to be used. Thus, the final finding showed that there is a significant evidence for discriminating the WRD.
本文的重点是设计和构建用于区分白根病(WRD)和干橡胶含量(DRC)片材的电感测量硬件。本研究使用的克隆类型为RRIM 3001、RRIM 2008、RRIM 2007、RRIM 2014和RRIM 2002。粗糙的电感传感器用作电感,值为470µH,作为实际值测量。470µH电感的变化决定了电感产生的磁场对材料的电感率的变化。硬件还包括基于Arduino微控制器编程的电感值测量公式。该设备在特定的工作空间进行测试,以保持测量结果的正确测试。对于数据的判别过程,使用SPSS软件对数据进行正态分布检验。分析表明,数据不符合正态分布,显著水平为0.00。因此,需要使用非参数检验,即Kruskal-Wallis检验。因此,最后的发现表明,有一个重要的证据,以区分WRD。
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引用次数: 0
Teaching Engineering Ethics and Laws in the Light of the Carolinian Vision 在卡罗莱纳愿景的光教学工程伦理和法律
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650396
Erwin B. Daculan
In May 2003, the United Nations Educational, Scientific and Cultural Organization (UNESCO) through its World Commission on the Ethics of Scientific Knowledge and Technology identified seven factors in the rising interest on ethics. The same document identified five partial aims of teaching ethics. Recommendations on what topics are to be covered and how assessment and evaluation are to be done were also mentioned in the document. It was with these insights that the revised course on ethics and laws for undergraduate fifth-year electronics engineering students was designed along outcomes-based teaching and learning approach. This paper presents the results of a course development on engineering ethics and laws by a non-expert/ethicist. Students professed the ethics they will adhere to in the practice of their profession and in their personal lives. They animated the content and intent of their personal and professional code of ethics and related principles and laws through course-specified assessment. Finally, they planned their way of life to achieve areté (excellence) in the light of Carolinian ideals of scientia, virtus, and devotio. The interventions used to assess whether the intended outcomes have been achieved are presented and described in detail. An evaluation questionnaire was distributed at the end of the semester to seek out the change in attitude toward a code of ethics and the interpretation of interventions as to the outcome being assessed. The collated result showed some unexpected items in the interpretation of the outcomes being assessed in a particular intervention and positive improvement of personal inclination to deliberate a decision on ethical issues in the light of Carolinian vision.
2003年5月,联合国教育、科学及文化组织(教科文组织)通过其世界科学知识和技术伦理委员会确定了引起人们对伦理日益关注的七个因素。同一份文件确定了教学伦理学的五个部分目标。该文件还提到了将涵盖哪些主题以及如何进行评估和评价的建议。正是基于这些见解,我们在电子工程本科五年级的道德与法律课程中采用了基于结果的教学方法。本文介绍了一位非专家/伦理学家在工程伦理与法律课程开发中的成果。学生们宣称他们将在他们的职业实践和个人生活中坚持的道德规范。他们通过特定课程的评估,使他们的个人和职业道德准则以及相关原则和法律的内容和意图生动起来。最后,他们根据卡罗莱纳人的科学、美德和奉献的理想,规划了自己的生活方式,以达到卓越。详细介绍和描述了用于评估是否达到预期结果的干预措施。在学期结束时分发了一份评价问卷,以了解对道德守则的态度变化以及对所评估结果的干预措施的解释。整理后的结果显示,在特定干预中评估的结果的解释中出现了一些意想不到的项目,并积极改善了个人倾向,以便根据卡罗莱纳人的愿景审议道德问题的决定。
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引用次数: 0
Towards Building a Remote Anti-spoofing Face Authentication System 远程防欺骗人脸认证系统的构建
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650440
Chien Eao Lee, Lilei Zheng, Ying Zhang, V. Thing, Ying Yu Chu
The ability to offer remote access to services or data through various platforms has become a public expectation of many applications and systems nowadays. Recently, we can see the growth in trend where wide range of service providers offer the option to use biometric as a form of authentication, replacing conventional password system. While we gradually migrate towards such authentication method, it is important not to overlook the vulnerabilities of such systems to spoof attack. In fact, spoof attack must be prevented as a mandatory prerequisite in all biometric systems. In this paper, we present a systematic approach for face authentication that incorporates state-of-the-art liveness detection and face verification algorithms to safeguard a system against such attack. We explore and examine the feasibility of the application of such approach on generic devices and systems without incurring hardware dependencies or requiring extensive user-cooperation.
通过各种平台提供对服务或数据的远程访问的能力已经成为当今许多应用程序和系统的公众期望。最近,我们可以看到越来越多的服务提供商提供使用生物识别技术作为身份验证形式的选择,以取代传统的密码系统。在我们逐渐向这种身份验证方法迁移的同时,也不能忽视这种系统在欺骗攻击方面的漏洞。事实上,在所有生物识别系统中,必须将防止欺骗攻击作为强制性的先决条件。在本文中,我们提出了一种系统的面部认证方法,该方法结合了最先进的活体检测和面部验证算法,以保护系统免受此类攻击。我们探索和检查在通用设备和系统上应用这种方法的可行性,而不会产生硬件依赖或需要广泛的用户合作。
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引用次数: 4
Energy Efficient Power Control and Relaying for C-RAN Uplink With Wireless Fronthaul 具有无线前传的C-RAN上行链路节能功率控制与中继
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650529
Daesung Yu, Junbeom Kim, Seung‐Eun Hong, Seok-Hwan Park
This work proposes an energy-efficient design of transmit power control and relaying strategies for the uplink of a cloud radio access network (C-RAN) with wireless fronthaul link. In the system, a set of single-antenna user equipments (UEs) send independent messages to a multi-antenna baseband processing unit (BBU) through a set of parallel multi-antenna remote radio heads (RRHs). The radio access link from the UEs to the RRHs is assumed to be orthogonal to the fronthaul link from the RRHs to the BBU. Since the overall performance of the system may be limited by the battery constraints of the UEs, this work tackles the problem of maximizing the worst energy efficiency of the UEs subject to the transmit power constraints at the UEs and the RRHs. Numerical results are provided to validate the advantages of the proposed energy-efficient scheme.
本文提出了一种具有无线前传链路的云无线接入网(C-RAN)上行链路的节能发射功率控制和中继策略设计。在该系统中,一组单天线用户设备(ue)通过一组并行的多天线远程无线电头(RRHs)向多天线基带处理单元(BBU)发送独立的消息。假设ue到RRHs的无线接入链路与RRHs到BBU的前传链路正交。由于系统的整体性能可能受到终端电池约束的限制,因此本工作解决了在终端和RRHs的发射功率约束下最大化终端最差能效的问题。数值结果验证了所提节能方案的优越性。
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引用次数: 0
Frequency Profile Improvement of a Microgrid through Aggregated Demand Response 基于聚合需求响应的微电网频率分布改善
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650245
M. S. Zaman, R. Haider, S. Bukhari, Chul-Hwan Kim
The frequency deviation of a system from its nominal value is a significant indicator of the system’s stability. This issue is further highlighted when the system is incorporated with intermittent renewable energy resources. In this work, frequency regulation of a microgrid is achieved by aggregated demand response. The proposed aggregator is implemented in a central controller that controls frequency deviation by manipulating responsive loads. In case of higher frequency deviation, an adaptive control action which is proportional to the magnitude of frequency deviation manipulates a large number of responsive loads to quickly restore the frequency to its nominal range. The amount of manipulated responsive load is reduced by another section of the central controller which deals with minor frequency deviations as well. The proposed control scheme is implemented on a test system and obtained results verify the desired functionality of aggregated demand response controller.
系统与其标称值的频率偏差是系统稳定性的重要指标。当系统与间歇性可再生能源相结合时,这个问题进一步突出。在这项工作中,微电网的频率调节是通过总需求响应来实现的。所提出的聚合器是在一个中央控制器中实现的,该控制器通过操纵响应性负载来控制频率偏差。在频率偏差较大的情况下,一个与频率偏差大小成正比的自适应控制动作操纵大量响应负载,使频率迅速恢复到其标称范围。被操纵的响应负载的数量由中央控制器的另一部分减少,该部分也处理较小的频率偏差。所提出的控制方案在一个测试系统上实现,得到的结果验证了聚合需求响应控制器的预期功能。
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引用次数: 0
Optimum CNN-Based Plant Mutant Classification 基于cnn的植物突变体分类优化
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650314
Y. Goh, C. Ng, Y. Lee, C. Teoh, Y. Goh
The study of the observable characteristics of mutants of the same genotype plant interacting with various environmental conditions is important to understand how well the performance of a particular trait in different growth environment. By automating the plant mutant classification process, botanist and agriculture scientist can perform large scale experiments to cultivate plants with useful traits to combat extreme environment conditions. This research aims to construct an optimum convolutional neural network (CNN) for image-based plant mutant classification task. Optimum parameters for 1) number of convolutional layers, 2) number of neurons in fully connected (FC) layer and 3) Number of FC layers are found in this paper. The possibility to improve success classification rate was explored by applying image pre-processing methods. Experimental results show that under optimum condition, CNN classification system without pre-processing algorithm shows the best success recognition rate of 97.90%.
研究同一基因型植物突变体在不同环境条件下的可观察特性,对于了解某一性状在不同生长环境下的表现有重要意义。通过自动化植物突变体分类过程,植物学家和农业科学家可以进行大规模的实验来培育具有有用性状的植物,以对抗极端环境条件。本研究旨在为基于图像的植物突变体分类任务构建最优卷积神经网络(CNN)。本文找到了1)卷积层数、2)全连接层神经元数和3)全连接层数的最优参数。探讨了应用图像预处理方法提高分类成功率的可能性。实验结果表明,在最优条件下,未经预处理算法的CNN分类系统的最佳识别率为97.90%。
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引用次数: 1
Passive Optical Networks: Review and Road Ahead 无源光网络:回顾与展望
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650204
Harshit Gupta, Priyal Gupta, Praveen Kumar, Atul Gupta, P. K. Mathur
This paper presents a realistic description on various Passive optical network (PON) technologies. A brief comparison between salient features of different PON technologies is also discussed. The paper elucidates the crucial driving factors which envisage innovation of next generation PON technology. To enable the new brand era of high quality triple-play services, many new techniques and procedures are embraced cognizant of the fact that backward compatibility with existing technology is the exigency of industry demand. Thus a common element which can support different types of technology on a same network architecture is discussed in this paper. The paper sheds light on some viable future technologies like 100G EPON, OCDMA-WDM PON and IFDMA-WDM PON and analyses their advantages over existing Next generation technology.
本文对各种无源光网络(PON)技术进行了较为现实的描述。对不同PON技术的显著特点进行了简要比较。本文阐述了下一代PON技术创新的关键驱动因素。为了实现高品质三网融合服务的新品牌时代,我们认识到与现有技术向后兼容是行业需求的迫切需要,因此采用了许多新技术和新流程。因此,本文讨论了在同一网络体系结构上支持不同类型技术的通用元素。本文阐述了100G EPON、OCDMA-WDM PON和IFDMA-WDM PON等未来可行的技术,并分析了它们相对于现有下一代技术的优势。
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引用次数: 12
Assisting Vulnerability Detection by Prioritizing Crashes with Incremental Learning 通过使用增量学习确定崩溃的优先级来协助漏洞检测
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650188
Li Zhang, V. Thing
The proliferation of Internet of Things (IoT) devices is accompanied by the tremendous increase of the attack surface of the networked embedded systems. Software vulnerabilities in these systems become easier than ever to be exploited by cybercriminals. Although fuzz testing is an effective technique to detect memory corruption induced vulnerabilities, it requires in-depth analysis of the typically massive crashes, which impedes the in-time identification and patching of potentially disastrous vulnerabilities. In this paper, we present a new approach that can efficiently classify crashes based on their exploitability, which facilitates the human analysts to prioritize the crashes to be examined and hence accelerate the discovery of vulnerabilities. A compact fingerprint for the dynamic execution trace of each crashing input is firstly generated based on n-gram analysis and feature hashing. The fingerprints are then fed to an online classifier to build the distinguishing model. The incremental learning enabled by the online classifier makes the built model scale well even for a large amount of crashes and at the same time easy to be updated for new crashes. Experiments on 4,392 exploitable crashes and 33,934 non-exploitable crashes show that our method can achieve an F1-score of 95% in detecting the exploitable crashes and significantly better accuracy than the popular crash classification tool !exploitable.
随着物联网(IoT)设备的激增,网络化嵌入式系统的攻击面也随之大幅增加。这些系统中的软件漏洞比以往任何时候都更容易被网络罪犯利用。尽管模糊测试是检测内存损坏引起的漏洞的有效技术,但它需要对典型的大规模崩溃进行深入分析,这阻碍了对潜在灾难性漏洞的及时识别和修补。在本文中,我们提出了一种新的方法,可以有效地根据它们的可利用性对崩溃进行分类,这有助于人类分析人员优先考虑要检查的崩溃,从而加快漏洞的发现。首先基于n-gram分析和特征哈希生成每个崩溃输入的动态执行轨迹的紧凑指纹。然后将指纹输入在线分类器以建立识别模型。在线分类器支持的增量学习使得构建的模型即使对于大量的崩溃也能很好地扩展,同时也易于针对新的崩溃进行更新。对4392个可利用崩溃和33934个不可利用崩溃进行的实验表明,我们的方法在检测可利用崩溃方面达到了95%的f1分,准确率明显高于流行的崩溃分类工具!exploitable。
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引用次数: 3
Design of a Real – Time Ocean Data – Logging Drifter Thru CLOUD Technology for Collecting Tidal Parameters 利用云技术采集潮汐参数的实时海洋数据记录仪的设计
Pub Date : 2018-10-01 DOI: 10.1109/TENCON.2018.8650270
Florian Agbuya, G. F. Apolinario, D. Ramos, J. D. Villanueva, Princess Zafe, J. A. Hernandez, Jeremias Coquia
This paper will focus on the design and development of a surface velocity drifter suitable for assessing potential tidal energy sites in the Philippines. This includes the design of the drifter’s structure, communication system and power management. The drifter records initial tidal parameters such as temperature, surface velocity for pre-assessment of tidal in-stream energy (TISE) in a specified deployment location within the country; provide a real-time mobile tracking device for easy monitoring and unit retrieval; operates with a reliable power management system that will enable the device to be sustainable for longer duration of deployment and data acquisition; and utilize system and data evaluation through a user friendly graphical-user interface (GUI).
本文将着重于设计和开发一种适合于评估菲律宾潜在潮汐能地点的表面速度漂移仪。这包括了该系统的结构设计、通信系统设计和电源管理设计。该漂船在国内指定的部署地点记录初始潮汐参数,如温度、地表速度,用于预评估潮汐流能(TISE);提供实时移动跟踪装置,便于监控和单元检索;采用可靠的电源管理系统,使设备能够持续更长时间的部署和数据采集;并通过用户友好的图形用户界面(GUI)利用系统和数据评估。
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引用次数: 4
期刊
TENCON 2018 - 2018 IEEE Region 10 Conference
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