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2013 IEEE Conference on Systems, Process & Control (ICSPC)最新文献

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Real time implementation of feedback linearizing controllers for magnetic levitation system 磁悬浮系统反馈线性化控制器的实时实现
Pub Date : 2013-12-01 DOI: 10.1109/SPC.2013.6735102
Neelma Naz, M. Malik, M. Salman
In this paper, different tracking control schemes are studied for magnetic levitation system. An input-output linearization feedback controller is designed by incorporating integral gain in feedback path that makes the error more symmetrical and provides very good tracking performance. The previously proposed input-output linearization feedback controller with state feedback gains only, generates non symmetrical error when implemented on the real time system. Pole placement technique is used to calculate the feedback gains by linearizing nonlinear system. A sliding mode controller and PID controller are also implemented for comparison. Control schemes are simulated and satisfactory results are achieved. Finally, a real time implementation of the controllers is carried out for experimental verification and comparison of these designed schemes.
本文对磁悬浮系统的不同跟踪控制方案进行了研究。通过在反馈路径中加入积分增益,设计了一种输入输出线性化反馈控制器,使误差更加对称,具有良好的跟踪性能。先前提出的只有状态反馈增益的输入-输出线性化反馈控制器在实时系统上实现时会产生非对称误差。采用极点放置技术对非线性系统进行线性化,计算反馈增益。还实现了滑模控制器和PID控制器进行比较。对控制方案进行了仿真,取得了满意的结果。最后,对控制器进行了实时实现,对所设计方案进行了实验验证和比较。
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引用次数: 12
Ontology enrichment with causation relations 用因果关系丰富本体
Pub Date : 2013-12-01 DOI: 10.1109/SPC.2013.6735129
Amaal Saleh Hassan Al Hashimy, N. Kulathuramaiyer
Ontology learning is considered a potential approach that can help to reduce the bottleneck of knowledge acquisition. However it suffers from a lack of standards to define concepts, besides the lack of fully automatic knowledge acquisition methods. In performing this learning process, the discovery of non-taxonomic relationships has been identified as being the most difficult. This study is then an attempt to create an enhanced framework for discovering and classifying ontological relationships by using a machine learning strategy. We take into consideration the context of the input text in performing the classification of the semantic relations, in particular, causation relations. The proposed framework extracts initial semantic patterns for causation relation from the input samples, then filters these patterns using two novel algorithms, namely, the “Purpose Based Word Sense Disambiguation” which helps in determining the causation senses for input pair of words and the “Graph Based Semantics” which determines the existence of the causation relations in the sentence and to extract their cause-effect parts. The results show a good performance and the implemented framework cut off many steps of the usual process to produce the final results.
本体学习被认为是一种潜在的方法,可以帮助减少知识获取的瓶颈。然而,除了缺乏全自动的知识获取方法外,它还缺乏定义概念的标准。在进行这一学习过程中,发现非分类学关系被认为是最困难的。然后,本研究试图通过使用机器学习策略创建一个增强的框架,用于发现和分类本体关系。在进行语义关系的分类时,我们考虑了输入文本的上下文,特别是因果关系。该框架从输入样本中提取因果关系的初始语义模式,然后使用“基于目的的词义消歧”算法和“基于图的语义”算法对这些模式进行过滤,“基于目的的词义消歧”算法用于确定输入对单词的因果关系,“基于图的语义”算法用于确定句子中因果关系的存在并提取其因果部分。结果显示了良好的性能,并且实现的框架省去了产生最终结果的通常过程的许多步骤。
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引用次数: 5
Development of an energy efficient driving strategy for a fuel cell vehicle over a fixed distance and average velocity 燃料电池汽车在固定距离和平均速度下的节能驾驶策略的开发
Pub Date : 2013-08-01 DOI: 10.1109/SPC.2013.6735115
S. Omar, N. M. Arshad, M. H. Fakharuzi, T. Ward
This paper examines the energy efficiency of a hydrogen fuel cell vehicle operating at different power settings. The goal is to develop a driving strategy to maximize energy efficiency for a fixed distance and average velocity. The test vehicle is equipped with a proton exchange membrane (PEM) fuel cell system that provides electric power to a brushless DC motor. This vehicle was designed to compete in the Shell Eco Marathon, an international competition in which the winners are the teams that go the furthest using the least amount of energy. A computer model that simulated the motor and vehicle dynamics was used to predict the output power demanded from the fuel cell. An actual test was then conducted to verify, compare and analyze the performance of the motor for various speed ranges. The result showed how the efficiency varied for different vehicle accelerations. This data can then be used as a basis to operate the vehicle with optimal efficiency.
本文考察了氢燃料电池汽车在不同功率设置下运行的能源效率。目标是开发一种驾驶策略,在固定距离和平均速度下最大限度地提高能源效率。测试车辆配备了质子交换膜(PEM)燃料电池系统,为无刷直流电动机提供电力。这辆车是为了参加壳牌环保马拉松比赛而设计的,这是一项国际比赛,获胜者是使用最少的能源走得最远的团队。利用计算机模型模拟了发动机和车辆的动力学,预测了燃料电池所需的输出功率。然后进行了实际测试,以验证,比较和分析电机在不同速度范围内的性能。结果显示了不同车辆加速度下效率的变化。然后,这些数据可以作为以最佳效率操作车辆的基础。
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引用次数: 6
Energy efficiency benchmarking in UiTM engineering complex Shah Alam UiTM沙阿拉姆工程综合体的能源效率基准
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735142
Z. Zain, M. Aziz, A. H. Kassim, R. A. Hadi, I. Ismail, S. Baki
Energy efficiency implementing strategy requires various approaches for different condition to increase the effectiveness. The energy efficiency normally refers energy usage without wastage. Normally, certain reference or benchmarking to certain standard will be used such as building energy index (BEI). Two new indexes were introduced in this paper namely Effective Building Energy Index (EBEI) and Specific Building Energy Index (SBEI). This paper presents the benchmarking additional approach so as to reduce energy wastage in Engineering Complex, UiTM Shah Alam. BEI for this complexs was found to be 149 kWh/m2.year and EBEI is found to be 186 kWh /m2.year. The SBEI was found to be 0.207 kWh/m2.year for an occupant. With various approach discussed in this paper, an expected energy reduction of 20% can be achieved.
能源效率实施战略需要针对不同的情况采取不同的方法来提高效率。能源效率通常是指不浪费的能源使用。通常情况下,会使用某些参考或基准来达到某些标准,例如建筑能源指数(BEI)。本文介绍了两个新的指标,即有效建筑能源指数(EBEI)和比建筑能源指数(SBEI)。本文提出了基准附加方法,以减少工程综合体的能源浪费,UiTM Shah Alam。该配合物的BEI为149 kWh/m2。年,EBEI为186千瓦时/平方米。SBEI为0.207 kWh/m2。居住者的年份。通过本文讨论的各种方法,可以实现20%的预期节能。
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引用次数: 2
A study on muscle activities through surface EMG for lower limb exoskeleton controller 下肢外骨骼控制器肌肉活动表面肌电图研究
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735124
S. M. Taslim Reza, Norhafizan Ahmad, I. Choudhury, R. Ghazilla
The motion of human body is complex but perfect and integrated effort of brain, nerves and muscles. Exoskeleton is a promising idea for human rehabilitation of the lower limb that is weak enough to move. EMG signal contains the information of human movement and can be considered as one of the most powerful input to exoskeleton controller. In this research, the activity of the lower limb muscles that are responsible for human sit to stand and stand to sit movement has been studied. In this regard, the activities of three muscles viz. rectus femoris, vastus lateralis and biceps femoris have been observed and recorded to perceive their activation pattern. The experimental results show that the maximum voltage of vastus lateralis at activation moment is greater or equal to +0.1 mV or lesser or equal to -0.1 mVduring sit to stand and stand to sit movement whereas same throughput was found for biceps femoris during sit to stand and for rectus femoris during stand to sit movement only.
人体的运动是复杂而完美的,是大脑、神经和肌肉的综合努力。外骨骼是一个很有前途的想法,用于人类下肢的康复,这些下肢足够弱,无法移动。肌电图信号包含人体运动信息,是外骨骼控制器最有力的输入信号之一。在这项研究中,研究了负责人体从坐到站和从站到坐运动的下肢肌肉的活动。在这方面,我们观察并记录了股直肌、股外侧肌和股二头肌的活动,以了解它们的激活模式。实验结果表明,在坐转立和站转坐运动中,股外侧肌在激活时刻的最大电压大于等于+0.1 mV,小于等于-0.1 mV,而在坐转立和站转坐运动中,股二头肌和股直肌在激活时刻的最大电压相同。
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引用次数: 6
Real-time vision based sensor implementation on unmanned aerial vehicle for features detection technique of low altitude mapping 基于实时视觉传感器的无人机低空测绘特征检测技术实现
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735149
M. F. Misnan, N. M. Arshad, R. Shauri, Noor Hayati Abd Razak, N. M. Thamrin, S. F. Mahmud
Feature detection is an important task for an autonomous vehicle in getting reference or guide in a agriculture field. Recently, a lot of sensors were implemented for feature detection of a field such as sonar sensor, laser range finder, infrared sensor which it is used as height estimation, size area measurement and path tracking that act as reference for desired measurement in creating a virtual map of the agriculture field which can be used as autonomous vehicle navigation process. A vision based sensor is implemented on the unmanned area vehicle for low altitude mapping. Real-time process with minimum computational process and light weight devices is required and utilized as it used UAV as the transportation element. An experimental setup utilized an analog camera as the front end sensor for the desired detection. The experimental surface is scanned by the analog vision sensor for sensor accuracy analysis used for feature detection application. The process technique is implemented via the medium speed 16-bit processor microcontroller which avoids the requirement of high-speed processor to do image processing. The vision sensor will be utilized into an unmanned aerial vehicle used for feature detection scheme for field measurement. The composing image produced is shown for comparison with the actual image as for performance analysis of the vision based sensor. The designed technique gave acceptable error of image accuracy that adequate to use for features detection on unmanned aeria vehicle.
特征检测是自动驾驶汽车在农业领域获取参考或引导的一项重要任务。近年来,许多传感器被用于农田特征检测,如声纳传感器、激光测距仪、红外传感器,它们被用于高度估计、尺寸面积测量和路径跟踪,作为参考,用于创建虚拟农田地图,用于自动车辆导航过程。在无人驾驶车辆上实现了一种基于视觉的低空测绘传感器。以无人机为运输要素,要求以最小的计算量和轻量的设备实现实时性。实验装置利用模拟摄像机作为所需检测的前端传感器。模拟视觉传感器对实验表面进行扫描,用于特征检测应用的传感器精度分析。该处理技术通过中速16位处理器微控制器实现,避免了对高速处理器进行图像处理的要求。该视觉传感器将应用于无人机,用于现场测量的特征检测方案。所产生的合成图像与实际图像进行了比较,以便对基于视觉的传感器进行性能分析。所设计的技术给出了可接受的图像精度误差,足以用于无人机特征检测。
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引用次数: 8
Two-year performance monitoring of amorphous-Silicon Grid-Connected Photovoltaic system 非晶硅并网光伏系统两年性能监测
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735141
M. Z. Hussin, Z. Zain, A. M. Omar, F. Sulaiman, S. Shaari
This paper presents the thin-film performance with a total nominal array of 0.9 kWp Grid-Connected Photovoltaic system using single-junction amorphous-Silicon for two years of operation in Malaysia. Since the operation, the system has injected into the Tenaga Nasional Berhad's grid with the total energy production of about 2,232.8 kWh. Additionally, the daily average for the final PV system yield, the efficiencies of system and inverter were recorded at 3.39 kWh/kWp.d, 5.08% and 89.6%, respectively. The daily operation showed that it has been operating in better condition under Malaysian climate with the performance ratio measured at 80.6% during the monitored period.
本文介绍了在马来西亚运行两年的总标称阵列为0.9 kWp的单结非晶硅并网光伏系统的薄膜性能。自运行以来,该系统已注入Tenaga国家电力公司的电网,总发电量约为2,232.8千瓦时。此外,光伏系统最终发电量、系统和逆变器效率的日平均值为3.39 kWh/kWp。D,分别为5.08%和89.6%。日常运行表明,在马来西亚气候条件下,它的运行状况较好,在监测期间的性能比为80.6%。
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引用次数: 2
Design and development of automatic rabbit droppings compost grinder 自动兔粪堆肥研磨机的设计与研制
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735110
M. Noor, M. Yusof, E. H. Mat Saat, M. F. Saaid, M. S. A. Megat Ali
The main purpose of this paper is to design and develop an automatic rabbit droppings compost grinder using PIC microcontroller. The prototype developed by combined the grinder motor and water pump system which functions to blend and supply the parser liquid to the rabbit waste. The development of prototype consists of grinder motor, water pump, manure container, mixture of parser materials storage and microcontroller. The grinder rotates to grind the rabbit waste particles followed by pumping the mixture of yogurt and brown sugar as parser liquid to the manure container. The system will repeated until the rabbit waste changed to become rabbit manure. By functioned automatically, this prototype may help the rabbit farmers to reduce their time and human power to process the rabbit manure.
本文的主要目的是利用PIC单片机设计和开发一种自动兔粪堆肥研磨机。该样机由研磨机电机与水泵系统相结合研制而成,其功能是将解析液混合并供给兔粪。样机的研制由磨机电机、水泵、粪便容器、混合解析器、物料存储和单片机组成。研磨机旋转研磨兔粪颗粒,然后将酸奶和红糖的混合物作为解析液泵入粪便容器。这个过程会不断重复,直到兔粪变成兔粪。通过自动操作,该样机可以帮助养兔户减少处理兔粪的时间和人力。
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引用次数: 0
Grid connected monocrytalline and polycrystalline photovoltaic system: A comparative study on performance 并网单晶与多晶光伏系统性能比较研究
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735146
Z. Zain, M. I. Yusof, M. Z. Hussin, N. Dahlan, L. Rimon
Performance indicator is important as a comparison for improvement in any form of technology. It provides the direction for technology improvement. For photovoltaic system, the normal indicator for performance is the performance ratio while for the solar cells, the cell efficiency is normally being used. This paper will analyze the use of performance ratio as a performance indicator for a system. The analysis and discussion will provide the rationale for using performance ratio as an indicator for photovoltaic performance but performance ratio alone is not good enough. For the period of one year from April 2012 to March 2013, the performance ratio for monocrystalline was 77% while for polycrystalline was found to be 80%. Solar cell efficiency was found to be 11.8% for monocrystalline and polycrystalline to be 11.5%. Higher performance ratio just indicates the energy yield compared to the expected energy yield.
绩效指标对于任何形式的技术改进都是重要的比较。为技术改进提供了方向。对于光伏系统,通常的性能指标是性能比,而对于太阳能电池,通常使用的是电池效率。本文将分析使用性能比率作为系统的性能指标。分析和讨论将为使用性能比作为光伏性能指标提供理论依据,但仅使用性能比是不够的。在2012年4月至2013年3月的一年时间里,单晶的性能比为77%,而多晶的性能比为80%。单晶太阳能电池效率为11.8%,多晶太阳能电池效率为11.5%。更高的性能比只是表示与预期的能量产出相比的能量产出。
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引用次数: 7
Automated Optic Disc removal in fundus images using iterative heuristics and morphological operations 使用迭代启发式和形态学操作的眼底图像自动视盘去除
Pub Date : 1900-01-01 DOI: 10.1109/SPC.2013.6735137
H. Hassan, N. Tahir, I. Yassin, A. Zabidi, C. H. C. Yahaya, S. M. Shafie
Automatic Optic Disc (OD) removal is vital step prior to screening Diabetic Retinopathy (DR) cases. Hence in this paper, we proposed an automated technique for removal of OD position in digital retina fundus images based on mathematical morphological operations. Here, dilation and erosion to remove OD and enhance the appearance of binary images. The proposed technique was tested on 400 images of the publicly available MESSIDOR database. Experimental Results showed that OD can be effectively be removed from the binary images and the proposed method is robust too.
自动视盘切除是筛查糖尿病视网膜病变(DR)病例前的重要步骤。因此,本文提出了一种基于数学形态学操作的数字视网膜眼底图像OD位置自动去除技术。这里,扩张和侵蚀去除外径,增强二值图像的外观。所提出的技术在MESSIDOR公开数据库的400张图像上进行了测试。实验结果表明,该方法能有效去除二值图像中的OD,具有较强的鲁棒性。
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引用次数: 5
期刊
2013 IEEE Conference on Systems, Process & Control (ICSPC)
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