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2016 IEEE Student Conference on Research and Development (SCOReD)最新文献

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Design of non-destructive test on gold metal using parallel plate capacitance sensor: A conceptual framework 采用平行板电容传感器的金金属无损检测设计:一个概念框架
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810089
Wan Norhisyam Abd Rashid, E. J. Mohamad, R. Abdul Rahim, J. Abdullah, H. Ameran, Swee Leong Kok, M. R. Sapiee, Shahrizal Saat, A. Subki
It is very important to verify the gold content of karat-gold jewelry in order to avoid fraud and to guarantee the identity and the integrity of a gold bar. There are quite a number of techniques which are used to verify the gold content. Gold testing methods such as fire assay, touchstone testing and hydrostatic weighing have been used since the early civilization. In this paper, a conceptual framework for a non-destructive test to check gold content using parallel plate electrical capacitance tomography is being proposed. At the early stage, the possibility of using this method is being simulated using Comsol Multiphysic software. A complete design of a system is yet to be designed which include the sensor design, the main controller unit design and the method of reconstructing the image from the collected data. The simulation process has shown promising results to make this concept works. When a material is placed between the parallel plates, the permittivity distribution can be observed and based on the distribution, image of object can be reconstructed. Furthermore, there are significant results when the size and the permittivity of the object are varies.
对克拉金首饰的含金量进行检验,对防止欺诈、保证金条的真实性和完整性具有十分重要的意义。有相当多的技术被用来验证黄金含量。金的测试方法,如火法,试金石测试和流体静力称重自早期文明以来一直使用。本文提出了一种利用平行平板电容量层析成像技术无损检测含金量的概念框架。在早期阶段,使用Comsol Multiphysic软件模拟了使用这种方法的可能性。一个完整的系统设计还有待设计,包括传感器的设计、主控制器的设计以及从采集的数据中重建图像的方法。仿真过程显示了使这一概念可行的有希望的结果。当在平行板之间放置材料时,可以观察到介电常数的分布,并根据该分布重建物体的图像。此外,当物体的尺寸和介电常数变化时,也有显著的结果。
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引用次数: 1
Advanced inter-cell interference management technologies in 5G wireless Heterogeneous Networks (HetNets) 5G无线异构网络(HetNets)先进的小区间干扰管理技术
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810036
Farah Raisa, Asif Reza, K. Abdullah
The future generations of mobile wireless systems such as the 5G technology are expected to be available due to huge demand on network capacity, better end-to-end performance, high mobility and high data rates. Inter-cell interference (ICI) management is one of the paramount issues that should be concerned in multi-tier Heterogeneous Networks (HetNets). Frequency reuse, successive interference cancellation techniques and coordinated multipoint transmissions (CoMP) are some of the popular interference cancellation schemes for mobile wireless networks. However, implementing these methods to the 5G standards with huge network size and capacity is a major challenge in the upcoming decades. In this paper, an extensive qualitative survey on different schemes of interference reduction is provided along with their performance, effectiveness and deficiencies. Key challenges and some guidelines to rework and overcome the shortcomings of the existing schemes are also discussed.
由于对网络容量的巨大需求、更好的端到端性能、高移动性和高数据速率,预计5G技术等未来几代移动无线系统将问世。小区间干扰(ICI)管理是多层异构网络(HetNets)应关注的首要问题之一。频率复用、连续干扰消除技术和协调多点传输(CoMP)是移动无线网络中常用的干扰消除技术。然而,将这些方法应用于具有巨大网络规模和容量的5G标准是未来几十年的主要挑战。本文对不同的抗干扰方案进行了广泛的定性分析,分析了它们的性能、有效性和不足。本文还讨论了现有方案的主要挑战和一些改进和克服缺点的指导方针。
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引用次数: 6
Intelligent automatic starting engine based on voice recognition system 基于语音识别系统的智能自动起动发动机
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810061
W. Astuti, E. Byan Wahyu Riyandwita
A vehicle key provides the main functions for accessing the vehicle, accessing the ignition mechanism, and the ability to actually start the car. Voice based starting engine access control system potentially replaces these main functions by replacing the key with the specific user voice. In the proposed system, the access may be authorized simply by means of an enrolled user speaking into a microphone attached to the system. The proposed system then will decide whether the word is `On' or `Off'. The decision voice will be sent to Arduino in order to activate the automotive relay, which will be used to activate the engine's motor starter. Furthermore, the intelligent system approach is used to develop authorized words model based on the voice. Particularly Support Vector Machines based classification system is used in the proposed system to identify the authorized words. Experimental results confirm the effectiveness of the proposed intelligent Automatic voice-based starting engine access control system based on Mel-Frequency Ceptral Coefficient (MFCC) and Support Vector Machines (SVMs), since it resulting the training and testing accuracy of 100% and 92.15%, respectively.
车辆钥匙提供了进入车辆、进入点火装置和实际启动汽车的主要功能。基于语音的起动发动机访问控制系统通过用特定用户的语音代替钥匙,有可能取代这些主要功能。在所建议的系统中,可以简单地通过注册用户对附在系统上的麦克风讲话的方式来授权访问。然后,该系统将决定这个词是“开”还是“关”。决策语音将被发送到Arduino,以激活汽车继电器,该继电器将用于激活发动机的电机启动器。在此基础上,采用智能系统的方法开发了基于语音的授权词模型。该系统特别采用了基于支持向量机的分类系统对授权词进行识别。实验结果验证了基于Mel-Frequency cepal Coefficient (MFCC)和支持向量机(svm)的智能自动语音起动发动机访问控制系统的有效性,训练和测试准确率分别达到100%和92.15%。
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引用次数: 11
A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter 一种基于增强HOG分类器和卡尔曼滤波的行人检测与跟踪方法
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810052
Penny Chong, Yong Haur Tay
This paper focuses on developing a stable pedestrian detection and tracking algorithm. Although Histogram of Oriented Gradients (HOG) features are the best representation for human shapes, computing these feature vectors are computationally expensive as it slows down the overall detection process. Hence with the use of cascade of boosted classifiers, the overall process was shortened significantly even in the absence of graphics processing unit (GPU). Along with Kalman filter approach, the algorithm achieved desirable results in tracking pedestrians coming from various directions. The Kalman filter model with its self-correcting mechanism, guarantees that the tracking improves overtime as more raw detections are supplied. As long as consistent detections were supplied to the filter in the early stages, the tracking continues even when the detector becomes faulty.
本文致力于开发一种稳定的行人检测与跟踪算法。尽管定向梯度直方图(HOG)特征是人体形状的最佳表示,但计算这些特征向量的计算成本很高,因为它减慢了整个检测过程。因此,使用级联提升分类器,即使在没有图形处理单元(GPU)的情况下,整个过程也显着缩短。该算法结合卡尔曼滤波方法对来自不同方向的行人进行跟踪,取得了较好的效果。卡尔曼滤波模型具有自校正机制,保证了随着原始检测的增加,跟踪性能会随着时间的推移而提高。只要在早期阶段向滤波器提供一致的检测,即使检测器出现故障,跟踪也会继续。
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引用次数: 6
A review on hematite α-Fe2O3 focusing on nanostructures, synthesis methods and applications 综述了赤铁矿α-Fe2O3的纳米结构、合成方法及应用
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810090
W. Ahmad, M. H. Mamat, A. Zoolfakar, Z. Khusaimi, M. Rusop
In this article, we review hematite α-Fe2O3 focusing on its material properties, nanostructures, synthesis techniques, and various applications that have been associated using hematite α-Fe2O3. Hematite nanostructures can be prepared using many synthesis methods includes hydrothermal and it can be further improved by enhancing the synthesis techniques in order to accommodate the best performance for specific applications, and nevertheless to explore new applications of hematite in humidity sensing.
本文综述了α-Fe2O3赤铁矿的材料性质、纳米结构、合成技术以及α-Fe2O3赤铁矿的各种应用。赤铁矿纳米结构可以通过包括水热在内的多种合成方法制备,并且可以通过提高合成技术进一步改进以适应特定应用的最佳性能,同时探索赤铁矿在湿度传感方面的新应用。
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引用次数: 11
Pose-based human action recognition with Extreme Gradient Boosting 基于姿态的极端梯度增强人体动作识别
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810099
Vina Ayumi
This Paper investigate action recognition by using Extreme Gradient Boosting (XGBoost). XGBoost is a supervised classification technique using an ensemble of decision trees. In this study, we also compare the performance of Xboost using another machine learning techniques Support Vector Machine (SVM) and Naive Bayes (NB). The experimental study on the human action dataset shows that XGBoost better as compared to SVM and NB in classification accuracy. Although takes more computational time the XGBoost performs good classification on action recognition.
研究了一种基于极限梯度增强(XGBoost)的动作识别方法。XGBoost是一种使用决策树集合的监督分类技术。在本研究中,我们还比较了Xboost使用另一种机器学习技术支持向量机(SVM)和朴素贝叶斯(NB)的性能。在人体动作数据集上的实验研究表明,XGBoost在分类精度上优于SVM和NB。虽然需要更多的计算时间,但XGBoost在动作识别上表现得很好。
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引用次数: 28
Memristor-based arbiter Physically Unclonable Function (APUF) with multiple response bits 具有多响应位的基于忆阻器的仲裁器物理不可克隆功能
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810033
Julius Teo Han Loong, Noor Alia Nor Hashim, F. A. Hamid
The memristor, short for memory resistor, is the fourth fundamental passive circuit element, whereby it can remember the resistance based on the last applied voltage. The memristor is used in the Physically Unclonable Function (PUF), which has potential for hardware security. To improve the performance of the memristor-based arbiter PUF, two modifications were made on the design, which are extracting multiple response bits from various stages in the delay paths in order to increase resistance against attacks, and using the SR latch rather than the D flip-flop as the arbiter because of better input-to-output path symmetry in the SR latch to minimize repsonse bias as well as circuit size and overhead. The proposed memristor-based APUF were simulated with two, three, and four memristors per stage. The memristor-based APUF performance were analyzed in terms of uniqueness, uniformity, and bit-aliasing, where the average values obtained were 49.32%, 53.21%, and 53.21%, respectively. The proposed memristor-based APUF performs well as expected.
忆阻器是记忆电阻器的简称,是第四种基本无源电路元件,它可以根据最后施加的电压记住电阻。忆阻器用于物理不可克隆功能(PUF),具有硬件安全的潜力。为了提高基于忆阻器的仲裁器PUF的性能,对设计进行了两项修改,即从延迟路径的各个阶段提取多个响应位以增加抵抗攻击的能力,并且使用SR锁存器而不是D触发器作为仲裁器,因为SR锁存器的输入输出路径对称性更好,可以最大限度地减少响应偏置以及电路尺寸和开销。所提出的基于忆阻器的APUF每级分别用2个、3个和4个忆阻器进行仿真。从唯一性、均匀性和位混叠三个方面分析了基于忆阻器的APUF性能,得到的平均值分别为49.32%、53.21%和53.21%。所提出的基于忆阻器的APUF性能良好。
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引用次数: 4
Developing a gold price predictive analysis using Grey Wolf Optimizer 使用灰狼优化器开发黄金价格预测分析
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810031
N. A. Zainal, Z. Mustaffa
As the value of gold cannot be blindly rejected, forecasting the future prices of gold has long been an intriguing topic and is extensively studied by researchers from different fields including economics, statistics, and computer science. The motivation for these studies is naturally to predict the future prices so that gold can be bought and sold at profitable positions and reduce the risk of investment. However, there are still a lot of untackled questions and room for improvements in these forecasting techniques. This is because there are no optimal models for all forecasting problems. Different question needs a different answer; therefore, more experiments and modeling need to be done in order for researcher to enhance their findings. The target of this paper is to present a gold forecasting techniques using one of the optimization algorithm called Grey Wolf Optimizer (GWO).
由于黄金的价值不能被盲目地拒绝,预测黄金的未来价格一直是一个有趣的话题,并被包括经济学、统计学和计算机科学在内的不同领域的研究人员广泛研究。这些研究的动机自然是为了预测未来的价格,以便在有利可图的位置买卖黄金,降低投资风险。然而,这些预测技术仍有许多未解决的问题和改进的空间。这是因为对于所有的预测问题没有最优的模型。不同的问题需要不同的答案;因此,需要做更多的实验和建模,以便研究人员加强他们的发现。本文的目标是提出一种黄金预测技术,使用一种优化算法称为灰狼优化器(GWO)。
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引用次数: 8
Least delay path estimation routing protocol (LDPERP) with enhanced multimedia transmission through parallel links over heterogeneous MANETS 最小延迟路径估计路由协议(LDPERP)在异构MANETS上通过并行链路增强多媒体传输
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810048
S. M. Hussain, Shaikh Azeemuddin Nizamuddin, Rolito Asuncion, Chandrashekar Ramaiah, Shafiq Ul Rehman
MANETS (Mobile Ad Hoc networks) are a group of wireless mobile nodes without any prefixed infrastructure that can move anywhere breaking and forming the links with the devices. Each node is responsible for routing the packets. Hence, each node acts as a router. A multi rate network allows a higher transmission capacity with wide range and also the signals can be transmitted with different bit rates. Thus there are many constraints concerning with the multi rate network like the data traffic integration, Quality of service and route establishment etc. Heterogeneous MANET'S are the networks with different nodes and different resources. In order to transmit a message the first requirement is to employ a route from end to end with minimum delay. In this paper, we have shown different delays that is involved during packet transmission considering different routes, hops and different rates with necessary mathematical formulations and conditions which proves to be enough for satisfying demands of quality of service (QOS) like discovering a path with minimal time delay. At the same time the other paths needs to be utilized to avoid the data rates to get degraded. For this purpose, Packetizing is used which can increase the efficiency and utility of a network. In our paper, we have proposed an approach that can ensure minimum delay though the routing parameters may differ. This kind of approach has found to be more efficient for the multimedia transmission over heterogeneous networks.
MANETS(移动自组织网络)是一组无线移动节点,没有任何固定的基础设施,可以移动到任何地方,打破和形成与设备的链接。每个节点负责路由数据包。因此,每个节点都充当路由器。多速率网络允许更高的传输容量和更宽的传输范围,并且可以用不同的比特率传输信号。因此,多速率网络存在着数据流量集成、服务质量和路由建立等诸多制约因素。异构MANET是指具有不同节点和不同资源的网络。为了传输消息,第一个要求是使用具有最小延迟的端到端路由。在本文中,我们用必要的数学公式和条件展示了考虑不同路由、跳数和不同速率的分组传输过程中所涉及的不同延迟,证明了这些数学公式和条件足以满足服务质量(QOS)的要求,例如发现具有最小时延的路径。同时,需要利用其他路径来避免数据速率下降。为了达到这个目的,使用分组可以提高网络的效率和效用。在我们的论文中,我们提出了一种方法,可以保证最小的延迟,尽管路由参数可能不同。这种方法在异构网络上的多媒体传输中具有较高的效率。
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引用次数: 2
Performance analysis of coalition formation algorithms based on matching theory for cognitive radio networks 基于匹配理论的认知无线电网络联盟形成算法性能分析
Pub Date : 2016-12-01 DOI: 10.1109/SCORED.2016.7810084
M. Tahir, M. H. Habaebi, M. R. Islam
We consider the problem of increasing the throughput in cognitive radio networks by forming coalitions among cognitive radio user in additive white Gaussian noise (AWGN) channel. For coalition formation using matching theory, we analyze two algorithms, namely Gale-Shapely algorithm and one-sided stable matching algorithm. For the first algorithm for coalition formation, well-known gale shapely algorithm is used to achieve cooperation among the cognitive radios for spectrum detection and sharing. Each cognitive radio prepares a preference list of other radios in the vicinity for cooperation and hence to form a coalition formation. The second algorithm is based one-sided matching theory which is a variant of the Gale-Shapely algorithm, however, to achieve a stable cooperation, certain criteria must be satisfied. The procedure is similar to the first algorithm (.i.e. formation of preference list and then making offers to other cognitive radio for cooperation) however the difference is in how the coalition formation takes place among the cognitive radios. Finally, using simulations we investigate various aspects of the algorithms and analyse their performance. The proposed algorithms result in improved spectrum detection as well as increasing the spectrum efficiency.
在加性高斯白噪声(AWGN)信道中,通过在认知无线电用户之间形成联盟来提高认知无线电网络的吞吐量。对于利用匹配理论形成联盟,我们分析了两种算法,即gale - shaely算法和片面稳定匹配算法。第一种联合算法采用著名的gale shape算法实现认知无线电之间的合作,进行频谱检测和共享。每个认知无线电为附近的其他无线电准备一个合作偏好列表,从而形成一个联盟。第二种算法基于片面匹配理论,是Gale-Shapely算法的一种变体,但要实现稳定的合作,必须满足一定的条件。该过程类似于第一个算法(即。形成偏好列表,然后向其他认知无线电提供合作),但不同之处在于认知无线电之间如何形成联盟。最后,我们利用仿真研究了算法的各个方面并分析了它们的性能。提出的算法改进了频谱检测,提高了频谱效率。
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引用次数: 0
期刊
2016 IEEE Student Conference on Research and Development (SCOReD)
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