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Impurities Detection in Intensity Inhomogeneous Edible Bird’s Nest (EBN) Using a U-Net Deep Learning Model 基于U-Net深度学习模型的强度非均匀食用燕窝杂质检测
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6891
Y. Yeo, Kin‐Sam Yen
As an important export, cleanliness control on edible bird’s nest (EBN) is paramount. Automatic impurities detection is in urgent need to replace manual practices. However, effective impurities detection algorithm is yet to be developed due to the unresolved inhomogeneous optical properties of EBN. The objective of this work is to develop a novel U-net based algorithm for accurate impurities detection. The algorithm leveraged the convolution mechanisms of U-net for precise and localized features extraction. Output probability tensors were then generated from the deconvolution layers for impurities detection and positioning. The U-net based algorithm outperformed previous image processing-based methods with a higher impurities detection rate of 96.69% and a lower misclassification rate of 10.08%. The applicability of the algorithm was further confirmed with a reasonably high dice coefficient of more than 0.8. In conclusion, the developed U-net based algorithm successfully mitigated intensity inhomogeneity in EBN and improved the impurities detection rate.
作为一种重要的出口产品,对可食用燕窝的清洁控制至关重要。杂质自动检测迫切需要取代人工操作。然而,由于EBN的不均匀光学特性尚未得到解决,有效的杂质检测算法尚待开发。这项工作的目的是开发一种新的基于U-net的精确杂质检测算法。该算法利用U-net的卷积机制进行精确的局部特征提取。然后从反卷积层生成输出概率张量,用于杂质检测和定位。基于U-net的算法以96.69%的较高杂质检测率和10.08%的较低误分类率优于以前的基于图像处理的方法。该算法的适用性得到了进一步证实,骰子系数超过0.8。总之,所开发的基于U-net的算法成功地减轻了EBN中的强度不均匀性,提高了杂质检测率。
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引用次数: 3
A Robust Formation Control Strategy for Multi-Agent Systems with Uncertainties via Adaptive Gain Robust Controllers 不确定多智能体系统的自适应增益鲁棒编队控制策略
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6825
S. Ito, K. Ohara, Y. Hoshi, H. Oya, Shunya Nagai
This paper deals with a design problem of an adaptive gain robust controller which achieves consensus for multi-agent system (MAS) with uncertainties. In the proposed controller design approach, the relative position between the leader and followers are considered explicitly, and the proposed adaptive gain robust controller consisting of fixed gains and variable ones tuned by time-varying adjustable parameters can reduce the effect of uncertainties. In this paper, we show that sufficient conditions for the existence of the proposed adaptive gain robust controller are reduced to solvability of linear matrix inequalities (LMIs). Finally, the effectiveness of the proposed robust formation control system is verified by simple numerical simulations. A main result of this study is that the proposed adaptive gain robust controller can achieve consensus and formation control giving consideration to relative distance in spite of uncertainties.
针对不确定多智能体系统,研究了一种自适应增益鲁棒控制器的设计问题。在所提出的控制器设计方法中,明确考虑了领导者和追随者之间的相对位置,并且所提出的由固定增益和可变增益组成的自适应增益鲁棒控制器可以通过时变可调参数来调节,从而减少不确定性的影响。在本文中,我们证明了所提出的自适应增益鲁棒控制器存在的充分条件被简化为线性矩阵不等式(LMIs)的可解性。最后,通过简单的数值模拟验证了所提出的鲁棒编队控制系统的有效性。研究的一个主要结果是,所提出的自适应增益鲁棒控制器可以在不确定的情况下实现一致性和考虑相对距离的编队控制。
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引用次数: 3
Image Compression Using Permanent Neural Networks for Predicting Compact Discrete Cosine Transform Coefficients 用永久神经网络预测紧凑离散余弦变换系数的图像压缩
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6925
S. Alshehri
This study proposes a new image compression technique that produces a high compression ratio yet consumes low execution times. Since many of the current image compression algorithms consume high execution times, this technique speeds up the execution time of image compression. The technique is based on permanent neural networks to predict the discrete cosine transform partial coefficients. This can eliminate the need to generate the discrete cosine transformation every time an image is compressed. A compression ratio of 94% is achieved while the average decompressed image peak signal to noise ratio and structure similarity image measure are 22.25 and 0.65 respectively. The compression time can be neglected when compared to other reported techniques because the only needed process in the compression stage is to use the generated neural network model to predict the few discrete cosine transform coefficients.
该研究提出了一种新的图像压缩技术,该技术产生高压缩比,但消耗低执行时间。由于当前的许多图像压缩算法消耗高执行时间,因此该技术加快了图像压缩的执行时间。该技术基于永久神经网络来预测离散余弦变换的部分系数。这可以消除每次压缩图像时生成离散余弦变换的需要。压缩率达到94%,而平均解压缩图像峰值信噪比和结构相似性图像度量分别为22.25和0.65。与其他报道的技术相比,压缩时间可以忽略,因为压缩阶段唯一需要的过程是使用生成的神经网络模型来预测少数离散余弦变换系数。
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引用次数: 0
Voltage Differencing Current Conveyor Based Voltage-Mode and Current-Mode Universal Biquad Filters with Electronic Tuning Facility 带电子调谐装置的电压型和电流型通用双路滤波器
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6821
Suvajit Roy, Tapas Kumar Paul, Saikat Maiti, R. Pal
The objective of this study is to present four new universal biquad filters, two voltage-mode multi-input-single-output (MISO), and two current-mode single-input-multi-output (SIMO). The filters employ one voltage differencing current conveyor (VDCC) as an active element and two capacitors along with two resistors as passive elements. All the five filter responses, i.e., high-pass, low-pass, band-pass, band-stop, and all-pass responses, are obtained from the same circuit topology. Moreover, the pole frequency and quality factor are independently tunable. Additionally, they do not require any double/inverted input signals for response realization. Furthermore, they enjoy low active and passive sensitivities. Various regular analyses support the design ideas. The functionality of the presented filters are tested by PSPICE simulations using TSMC 0.18 μm technology parameters with ± 0.9 V supply voltage. The circuits are also justified experimentally by creating the VDCC block using commercially available OPA860 ICs. The experimental and simulation results agree well with the theoretically predicted results.
本研究的目的是提出四种新的通用双二阶滤波器,两电压模式多输入单输出(MISO)和两电流模式单输入多输出(SIMO)。滤波器采用一个压差电流传送器(VDCC)作为有源元件,使用两个电容器以及两个电阻器作为无源元件。所有五个滤波器响应,即高通、低通、带通、带阻和全通响应,都是从相同的电路拓扑中获得的。此外,极点频率和质量因子是独立可调的。此外,它们不需要任何双/反相输入信号来实现响应。此外,它们的主动和被动敏感度较低。各种定期分析支持设计理念。所提出的滤波器的功能通过PSPICE模拟进行了测试,使用TSMC 0.18μm技术参数和±0.9 V电源电压。还通过使用市售的OPA860 IC创建VDCC块来对电路进行实验验证。实验和仿真结果与理论预测结果吻合较好。
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引用次数: 5
A Systematic Review on Automatic Detection of Plasmodium Parasite 疟原虫寄生虫自动检测系统综述
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-04-01 DOI: 10.46604/IJETI.2021.6094
Amin Siddiq Sumi, H. A. Nugroho, Rudy Hartanto
Plasmodium parasite is the main cause of malaria which has taken many lives. Some research works have been conducted to detect the Plasmodium parasite automatically. This research aims to identify the development of current research in the area of Plasmodium parasite detection. The research uses a systematic literature review (SLR) approach comprising three stages, namely planning, conducting, and reporting. The search process is based on the keywords which were determined in advance. The selection process involves the inclusion and exclusion criteria. The search yields 45 literatures from five different digital libraries. The identification process finds out that 28 methods are applied and mainly categorizes as machine learning algorithms with performance achievements between 60% and 95%. Overall, the research of Plasmodium parasite detection today has focused on the development with artificial intelligence specifically related to machine and deep learning. These approaches are believed as the most effective approach to detect Plasmodium parasites.
疟原虫是导致疟疾的主要原因,疟疾夺走了许多人的生命。已经进行了一些自动检测疟原虫的研究工作。本研究旨在确定疟原虫检测领域的当前研究进展。该研究采用系统文献综述(SLR)方法,包括三个阶段,即规划、实施和报告。搜索过程基于预先确定的关键字。选择过程涉及纳入和排除标准。该搜索产生了来自五个不同数字图书馆的45篇文献。识别过程发现,应用了28种方法,主要分类为机器学习算法,性能成绩在60%至95%之间。总体而言,如今疟原虫检测的研究重点是与机器和深度学习相关的人工智能的发展。这些方法被认为是检测疟原虫最有效的方法。
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引用次数: 3
Multi-Object Face Recognition Using Local Binary Pattern Histogram and Haar Cascade Classifier on Low-Resolution Images 基于局部二值模式直方图和Haar级联分类器的低分辨率图像多目标人脸识别
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-01-20 DOI: 10.46604/IJETI.2021.6174
R. Isnanto, A. F. Rochim, D. Eridani, Guntur Cahyono
This study aims to build a face recognition prototype that can recognize multiple face objects within one frame. The proposed method uses a local binary pattern histogram and Haar cascade classifier on low-resolution images. The lowest data resolution used in this study was 76 × 76 pixels and the highest was 156 × 156 pixels. The face images were preprocessed using the histogram equalization and median filtering. The face recognition prototype proposed successfully recognized four face objects in one frame. The results obtained were comparable for local and real-time stream video data for testing. The RR obtained with the local data test was 99.67%, which indicates better performance in recognizing 75 frames for each object, compared to the 92.67% RR for the realtime data stream. In comparison to the results obtained in previous works, it can be concluded that the proposed method yields the highest RR of 99.67%.
本研究旨在建立一个能够在一帧内识别多个人脸对象的人脸识别原型。该方法在低分辨率图像上使用局部二值模式直方图和Haar级联分类器。本研究中使用的最低数据分辨率为76×76像素,最高为156×156像素。采用直方图均衡和中值滤波对人脸图像进行预处理。所提出的人脸识别原型成功地在一帧中识别了四个人脸对象。所获得的结果对于用于测试的本地和实时流视频数据是可比较的。通过局部数据测试获得的RR为99.67%,这表明与实时数据流的92.67%RR相比,在识别每个对象的75帧方面具有更好的性能。与以往工作中获得的结果相比,可以得出结论,所提出的方法产生了99.67%的最高RR。
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引用次数: 10
Limiting Reinforcement Ratios for Hybrid GFRP/Steel Reinforced Concrete Beams 玻璃钢/钢筋混凝土混合梁的极限配筋率
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-01-20 DOI: 10.46604/IJETI.2021.6660
D. Nguyen, Viet Quoc Dang
In this work, a theoretical approach is proposed for estimating the minimum and maximum reinforcement ratios for hybrid glass fiber reinforced polymer (GFRP)/steel-reinforced concrete beams to prevent sudden and brittle failure as well as the compression failure of concrete before the tension failure of reinforcements. Equilibrium equations were used to develop a method for determining the minimum hybrid GFRP/steel reinforcement ratio. A method for determining the maximum hybrid GFRP/steel reinforcement ratio was also developed based on the equilibrium of forces of the balanced failure mode. For estimating the load-carrying capacity of concrete beams reinforced with hybrid GFRP/steel, less than the minimum and more than the maximum reinforcement ratio is recommended. Comparisons between the proposed expressions, experimental data, and available test results in the literature shows good agreement between the theoretical and experimental data, with a maximum discrepancy of 7%.
在这项工作中,提出了一种理论方法来估计玻璃纤维增强聚合物(GFRP)/钢筋混凝土混合梁的最小和最大配筋率,以防止钢筋拉伸破坏之前混凝土的突然脆性破坏以及压缩破坏。利用平衡方程建立了确定最小混合GFRP/钢筋配筋率的方法。基于平衡破坏模式的力平衡,还提出了一种确定GFRP/钢筋最大混合配筋率的方法。为了估算混合GFRP/钢加固的混凝土梁的承载能力,建议小于最小配筋率,大于最大配筋率。所提出的表达式、实验数据和文献中可用的测试结果之间的比较表明,理论数据和实验数据之间具有良好的一致性,最大差异为7%。
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引用次数: 10
Durability Study of Hybrid Fiber Reinforced Concrete 混杂纤维增强混凝土耐久性研究
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-01-20 DOI: 10.46604/IJETI.2021.5019
Srinivasa Rao Naraganti
Sisal has been reported as one of the promising fibers for cement composite applications. The durability of sisal fiber reinforced concrete (SFRC) and steel sisal fiber reinforced concrete (SSFRC) have not been reported. Water absorption, rapid chloride permeability, and acid attack tests are conducted on fibrous cement composites. Steel, polypropylene, and sisal fibers with a total volume of 0.50%, 1.00%, 1.25%, and 1.50% were used. Sisal at a content of 1.50% in SFRC increases the water absorption by 76%, but it is reduced to 30% for SSFRC with 0.2% of sisal content. SFRC and SSFRC show the increased permeability of 1.69% and 2.09% respectively. SFRC experiences the highest volume loss of 6.52%. SSFRC illustrates the resistance to the mass loss and compressive strength loss. In conclusion, untreated sisal in any form is found to be not advantageous for durable fibrous concrete structures.
据报道,剑麻是一种很有前途的水泥复合材料纤维。剑麻纤维增强混凝土(SFRC)和钢剑麻纤维加强混凝土(SSFRC)的耐久性尚未报道。对纤维水泥复合材料进行了吸水性、快速氯离子渗透性和酸侵蚀试验。使用总体积为0.50%、1.00%、1.25%和1.50%的钢、聚丙烯和剑麻纤维。在SFRC中,当剑麻含量为1.50%时,吸水率提高了76%,但当剑麻浓度为0.2%时,SSFRC的吸水率降低到30%。SFRC和SSFRC的渗透率分别提高了1.69%和2.09%。SFRC的体积损失最高,为6.52%。SSFRC说明了其对质量损失和抗压强度损失的抵抗力。总之,任何形式的未经处理的剑麻都不利于耐用的纤维混凝土结构。
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引用次数: 3
Heat Transfer Augmentation of Concentrated Solar Absorber Using Modified Surface Contour 利用改进表面轮廓增强聚光太阳能吸收器的传热
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-01-20 DOI: 10.46604/IJETI.2020.5676
R. Senthil, Arvind Chezian, Zackir Hussain Ajmal Arsath
This work aims to compare the cavity surface contour’s thermal performance to that of the solar absorber’s plain surface contour for Scheffler type parabolic dish collectors. The absorber is tested for the temperature range up to 600°C without working fluid and 180°C with the working fluid. The modified absorber surface's thermal performance is compared with the flat surface absorber with and without heat transfer fluid. The peak temperature reached by the surface modified absorber (534°C) is about 8.6% more than that of the unmodified absorber (492°C) during an outdoor test without fluid. The energy efficiency of cavity surface absorber and plain surface absorber are 67.65% and 61.84%, respectively. The contoured cavity surface produces a more uniform temperature distribution and a higher heat absorption rate than the plain surface. The results are beneficial to the design of high-temperature solar absorbers for concentrated solar collectors.
本研究旨在比较舍弗勒抛物面碟式集热器的腔面轮廓与太阳能吸收器的平面表面轮廓的热性能。吸收器的测试温度范围可达600°C,无工作流体和180°C,有工作流体。并将改进后的吸收体表面与平面吸收体表面进行了热性能比较。在无流体的室外试验中,表面改性吸收剂达到的峰值温度(534℃)比未改性吸收剂(492℃)高约8.6%。腔面吸收器和平面吸收器的能量效率分别为67.65%和61.84%。轮廓型腔表面比平面表面产生更均匀的温度分布和更高的吸热率。研究结果对聚光太阳能集热器的高温太阳能吸收器的设计具有一定的指导意义。
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引用次数: 2
Reduced Path Successive Cancellation List Decoding for Polar Codes 极性码的缩减路径逐次消去列表译码
IF 1 Q3 ENGINEERING, MULTIDISCIPLINARY Pub Date : 2021-01-20 DOI: 10.46604/IJETI.2021.6376
W. Abdulwahab, A. Kadhim
Polar codes have already been adopted in 5G systems to improve error performance. Successive cancellation list (SCL) decoding is usually used at the decoder and involves lengthy processing. Therefore, different methods have been developed to reduce an SCL decoder’s complexity. In this paper, a reduced path successive cancellation list (RP-SCL) decoder is presented to reduce this complexity, where some decoding paths are pruned. The pruning is achieved by using three different thresholds: two for the path metric and one for the pruning depth in the decoding tree. An optimization procedure is considered to determine the optimum settings for these thresholds. The simulation tests are carried out over models of an additive white Gaussian noise channel and a fading channel by using 5G environments. The results reveal that the proposed RP-SCL decoder provides the complexity reduction in terms of the average number of processed paths at high SNR. Additionally, the computational complexity and the memory requirements decrease.
极化码已经在5G系统中被采用,以提高错误性能。逐次消除列表(SCL)解码通常在解码器处使用,并且涉及漫长的处理。因此,已经开发了不同的方法来降低SCL解码器的复杂性。本文提出了一种减少路径连续消除列表(RP-SCL)解码器来降低这种复杂性,其中一些解码路径被修剪。修剪是通过使用三个不同的阈值来实现的:两个用于路径度量,一个用于解码树中的修剪深度。考虑优化过程来确定这些阈值的最佳设置。利用5G环境对加性高斯白噪声信道和衰落信道模型进行了仿真测试。结果表明,所提出的RP-SCL解码器在高SNR下提供了处理路径的平均数量方面的复杂性降低。此外,降低了计算复杂度和内存需求。
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引用次数: 0
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International Journal of Engineering and Technology Innovation
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