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2018 IEEE Conference on Systems, Process and Control (ICSPC)最新文献

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Waste Monitoring System based on Internet-of-Thing (IoT) 基于物联网(IoT)的垃圾监控系统
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704142
Harnani Hassan, F. Saad, Nor Fazlin, A. Aziz
Currently, most of waste management system is implemented using a conventional system. The organisation such as Alam Flora Sdn. Bhd manages the domestic waste by assigning the worker to collect the waste without identification system. This paper presents a development of waste monitoring and collecting system based on Internet-of-Thing (IoT). The hardware implementation for the system consist of NodeMCU (microcontroller board) connected to two ultrasonic sensors with Wifi module (ISM Band 900) attached to the board. In the system, these sensors are utilised to implement an automatic lid opener and to update the waste level condition for monitoring system. The developed system is designed to monitor the waste level (condition) in the bin (‘full bin’ or ‘not full’) via internet through mobile application (Apps). The developed Apps provides a real-time update of the waste level status for collection. The real-time update from the sensor is uploaded through the developed mobile Apps via URL to the database. Waste collector or end user need to access the update via mobile Apps for further action. In this project, the ultrasonic sensor sensitivity is tested on ‘flat’ and ‘non-flat’ waste type. The result showed that type of waste (‘flat’ or ‘non-flat’) with specific angle of reflection has influenced the sensor sensitivity to identify the waste level status. The developed system could be potentially utilised to improvise the conventional system waste collection to more effective system.
目前,大多数废物管理系统都是使用传统系统实施的。像Alam Flora Sdn这样的组织。Bhd管理生活垃圾的方式是指派工人收集垃圾,而没有识别系统。本文介绍了一种基于物联网(IoT)的垃圾监测收集系统的开发。该系统的硬件实现由NodeMCU(微控制器板)连接到两个超声波传感器,Wifi模块(ISM Band 900)连接到板上。在该系统中,这些传感器用于实现自动开盖器和更新废物水平状况,以供监测系统使用。开发的系统旨在通过移动应用程序通过互联网监测垃圾箱中的废物水平(状况)(“满箱”或“未满箱”)。开发的应用程序提供废物水平状态的实时更新,以便收集。传感器的实时更新通过开发的移动应用程序通过URL上传到数据库。废物收集者或最终用户需要通过移动应用程序访问更新,以便采取进一步行动。在这个项目中,超声波传感器的灵敏度测试了“平坦”和“非平坦”废物类型。结果表明,具有特定反射角的废物类型(“平坦”或“非平坦”)影响传感器识别废物水平状态的灵敏度。开发的系统可以潜在地将传统的废物收集系统改进为更有效的系统。
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引用次数: 10
Fuzzy Evaluation System: Intelligent Speech Assessment System 模糊评价系统:智能语音评价系统
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704150
A. Zourmand, T. Nong
This research shows the design of a fuzzy evaluation approach in an intelligent speech assessment system for Malay vowels. The suggested system is really suitable for the children patient can undertake assessment. The target client is 7 to 12 years Malay children. Hidden Markov Model is applied as a technique of speech recognition in the system. Clients are able to exercise and test on their own convenience time independently and the system is able to evaluate their pronunciation as well as the quality of their pronunciation. The fuzzy evaluation session can provide a feedback on the performance of each client vowel pronunciation. In order to have an accurate evaluation, three parameters are involved in fuzzy expert decision making system as inputs. The distance of the formant frequencies, log-probability of HMM and number of correct recognition by HMM play the main rule in vowel quality uttered by client which involved in decision making process of the proposed system. The result of project shows that, the accuracy of the proposed fuzzy expert evaluation system increase up to 89%.
本研究展示马来语元音智能语音评估系统的模糊评价方法设计。建议的系统确实适合儿童患者可以进行评估。目标客户是7至12岁的马来儿童。将隐马尔可夫模型作为语音识别技术应用于系统中。客户可以在自己方便的时间独立练习和测试,系统可以对他们的发音和发音质量进行评估。模糊评价环节可以对每个客户的元音发音表现进行反馈。为了得到准确的评价,模糊专家决策系统采用三个参数作为输入。形成峰频率的距离、HMM的对数概率和HMM正确识别的次数是影响语音质量的主要因素,并参与系统的决策过程。工程结果表明,所提出的模糊专家评价系统的准确率提高了89%。
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引用次数: 0
ICSPC 2018 Author’s Index ICSPC 2018作者索引
Pub Date : 2018-12-01 DOI: 10.1109/spc.2018.8704125
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引用次数: 0
Experimental Analysis of a Novel Control Scheme Developed for Single Fluid Heat Transfer System 单流体传热系统新型控制方案的实验分析
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704140
S. Pranavanand, I. Elamvazuthi, S. Harivardhagini, A. R. Ram
This work details the development of both mathematical model and nonlinear controllers for Single Fluid Heat Transfer System (SFHTS). A prototype setup of SFHTS has been developed. Different controller that were tested on the simulated model has been tested on the prototype mode tool. SFHTS is a nonlinear system. This system has been modularized into Thermal Transfer Module and Level Control Module. Hitherto linear controllers were used to control the process. Intentional disturbances have been applied to the prototype model. A novel control scheme that is computationally ease and effective in perturbation rejection has been developed. Experimental results confirm that the novel controller developed is better in reaching the set point and negating the perturbation thereafter.
本文详细介绍了单流体传热系统(SFHTS)的数学模型和非线性控制器的发展。研制了SFHTS的原型装置。在仿真模型上测试的不同控制器在原型模态工具上进行了测试。SFHTS是一个非线性系统。该系统被模块化为传热模块和液位控制模块。迄今为止,采用线性控制器来控制这一过程。有意干扰已应用于原型模型。提出了一种计算简便、抗干扰能力强的新型控制方案。实验结果表明,所设计的控制器能较好地达到设定值,并能消除此后的扰动。
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引用次数: 0
Textual Document Clustering in Traditional and Modern Approaches (Review) 传统与现代文本文档聚类方法(综述)
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704130
W. Yafooz, Z. Bakar, A. Mithun
An enormous quantity of textual documents is created from the advanced technological use concerning describing, intelligence, interconnection, and thousands of distinct authorizations and was expanding each moment of quotidian circumstances. The Clustering is an automated established process to organize the database on features. Outwardly implementing a clustering technique to textual data, a huge quantity of unstructured data is losing the capability of sharing knowledge. There are many tools and techniques proposed. This paper present and categorized the textual document clustering algorithms (approaches) into two types are classical and modern approaches. Both approaches are implemented to those textual data to obtain and consolidate knowledge from discharged to an extraordinary impression of a prepared document. The two important factors in clustering process are speed of clustering process and accuracy or purity of data clusters. This review paper can be benefits to many researchers who concern on textual document clustering, text mining and data scientist.
大量的文本文件是从先进的技术使用中创建的,涉及描述,智能,互连和数千种不同的授权,并且正在扩展日常环境的每一刻。集群是一个自动建立的过程,用于组织数据库的特征。在对文本数据实施聚类技术的过程中,大量的非结构化数据失去了知识共享的能力。人们提出了许多工具和技术。本文将文本文档聚类算法分为经典聚类算法和现代聚类算法两类。这两种方法对这些文本数据进行了实现,以获取和巩固知识,从释放到一个准备好的文件的非凡印象。聚类过程的两个重要因素是聚类过程的速度和数据聚类的准确性或纯度。本文对文本文档聚类、文本挖掘和数据科学家的研究有一定的参考价值。
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引用次数: 1
ICSPC 2018 Copyright Page ICSPC 2018版权所有
Pub Date : 2018-12-01 DOI: 10.1109/spc.2018.8704151
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引用次数: 0
Vibration Control of a Nonlinear Double-Pendulum Overhead Crane Using Feedforward Command Shaping 基于前馈指令整形的非线性双摆桥式起重机振动控制
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704154
H. Jaafar, Z. Mohamed, L. Ramli, A. Abdullahi
This paper proposes an alternative feedforward command shaping for vibration control of a nonlinear double-pendulum overhead crane system. The proposed feedforward shaper is designed based on a model reference and without the need for the damping ratio and natural frequency of the crane system. The effectiveness of the shaper is studied using a laboratory overhead crane. Experimental studies show that the proposed shaper resulted in lower overall hook and payload oscillations under different cases of cable lengths as compared with multiple single-mode input shapers.
提出了一种用于非线性双摆桥式起重机系统振动控制的替代前馈指令整形方法。所提出的前馈成形器是基于模型参考设计的,不需要起重机系统的阻尼比和固有频率。利用实验室桥式起重机对成形器的有效性进行了研究。实验研究表明,与多种单模输入整形器相比,该整形器在不同电缆长度下的总勾振和有效载荷振荡都较低。
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引用次数: 5
Directional Based Graphical Authentication Method with Shoulder Surfing Resistant 抗肩冲浪的定向图形认证方法
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704157
N. A. Othman, Muhammad Hariz Bin Abdul Rahman, A. S. A. Sani, Fakariah Hani Mohd Ali
Authentication has been advanced by implying advancement in security such as cryptography to protect password against data leaking and sniffing; captcha to prevent robot system; Secure Sockets Layer designed to protect users against phishing website and many other solution invented for different types of vulnerabilities. Although there are other methods suggested for preventing shoulder surfing (i.e. exposure of password to nearby observing-person), the techniques still have some drawback. Some of the proposed techniques also required high computational process with high range of possible answer. This paper proposed a shoulder-surfing-proof graphical based authentication with direction scheme that combines technique adapted from Passfaces scheme and a selection of direction. User is required to choose four faces and one direction to serve as the secret authentication. Besides shoulder surfing, the proposed method also caters security in data transmission storage as hashing is applied along the communication. This technique has been proven to demonstrate the robustness, security strength and the functionality advantages of the system. The result from the security testing shows that image based passwords is more secure because the possibility of the image to be guessed is very low.
通过暗示安全性的进步,如加密技术来保护密码免受数据泄漏和嗅探,身份验证已经得到了改进;验证码防机器人系统;安全套接字层旨在保护用户免受网络钓鱼网站和许多其他针对不同类型漏洞的解决方案的侵害。虽然还有其他方法可以防止肩部冲浪(例如将密码暴露给附近的观察者),但这些技术仍然有一些缺点。提出的一些技术还需要高计算过程和高可能答案范围。本文提出了一种基于方向方案的防肩冲浪图形认证方案,该方案将Passfaces方案的改进技术与方向选择相结合。用户需要选择四个面和一个方向作为秘密认证。除了肩部冲浪外,该方法还通过在通信过程中使用哈希来满足数据传输存储的安全性。该技术已被证明具有鲁棒性、安全性和功能优势。安全性测试的结果表明,基于图像的密码更安全,因为图像被猜出的可能性非常低。
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引用次数: 5
Lightning Forecasting Modelling Using Artificial Neural Network (ANN): Case Study Sultan Abdul Aziz Shah Airport or Skypark Subang 利用人工神经网络(ANN)建立闪电预报模型:以苏邦机场或Skypark为例
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704147
Nurul Hanani Abdullah, R. Adnan, A. Samad, Fazlina Ahmat Ruslan
Lightning is one of extreme weather phenomenon in Malaysia. It is because Malaysia has high lightning and thunderstorm occurrences in yearly basis. In aviation industry, weather awareness is very important to ensure the passenger safety. Therefore, lightning forecasting is very important to warn people on lightning occurring nearby and give them an ample time to evacuate before the lightning happens. Thus, this paper proposed lightning forecasting using Artificial Neural Network (ANN) at Sultan Abdul Aziz Shah Airport Subang. The ANN model developed using Multilayer Perceptron Neural Network (MLPNN) structure and then the simulation result is compared with the actual values. Data used is meteorological data obtained from Meteorological Malaysian Services (MMS). Simulation is done using Matlab Neural Network Toolbox for training and testing process. Simulation results showed that MLPNN successfully predict the occurrence of lightning ahead of time in Sultan Abdul Aziz Shah Airport Subang.
闪电是马来西亚的一种极端天气现象。这是因为马来西亚每年都有很高的闪电和雷暴发生。在航空工业中,天气预警对于确保乘客安全至关重要。因此,闪电预报对于警告附近的人们在闪电发生前有足够的时间疏散是非常重要的。为此,本文提出了在苏邦苏丹阿卜杜勒阿齐兹沙机场使用人工神经网络(ANN)进行闪电预报。采用多层感知器神经网络(Multilayer Perceptron Neural Network, MLPNN)结构建立人工神经网络模型,并将仿真结果与实际值进行比较。使用的数据是从马来西亚气象局(MMS)获得的气象数据。仿真是利用Matlab神经网络工具箱进行训练和测试的过程。仿真结果表明,MLPNN成功地提前预测了苏邦苏丹阿卜杜勒阿齐兹沙机场闪电的发生。
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引用次数: 4
Deleting Object in Video Copy-Move Forgery Detection Based on Optical Flow Concept 基于光流概念的视频复制-移动伪造检测中的删除对象
Pub Date : 2018-12-01 DOI: 10.1109/SPC.2018.8704160
Omar Ismael Al-Sanjary, Ahmed Abdullah Ahmed, H. B. Ahmad, Musab A. M. Ali, M. N. Mohammed, Muhammad Irsyad Abdullah, Zurida Ishak
Digital video can be manipulated and edited easily because of the available robust video processing and editing software. In the current times, the digital video and digital image editing tools has contributed to the challenge in authenticating multimedia content in an accurate manner. It is now possible to modify, through adding and removing, pertinent evidence form a video recording without leaving a clue as to the tampering process. Even worse, some post-methods effects, which can insert and deleting object in order to mimic or hide a particular event in the frames of video, are also diffuse. Many endeavors have been focusing to detect like video copy-move manipulate to date; but, the accuracy rates are still far from satisfactory for improvement and the method do not locate the issue of region tampering detection and determine localization. Consequently, the study of this paper is aims to design and develop a new video copy-move forgery detection scheme with high accuracy based on optical flow methods.
由于现有的强大的视频处理和编辑软件,数字视频可以很容易地进行处理和编辑。在当今时代,数字视频和数字图像编辑工具对多媒体内容的准确认证提出了挑战。现在可以通过添加和删除视频记录中的相关证据来修改,而不会留下篡改过程的线索。更糟糕的是,一些后期方法效果,可以插入和删除对象,以模仿或隐藏视频帧中的特定事件,也是漫射的。迄今为止,许多努力都集中在检测视频复制-移动操作;但是,该方法的准确率还远远不能令人满意,有待改进,并且没有定位区域篡改检测问题和确定定位。因此,本文的研究旨在设计和开发一种新的基于光流方法的高精度视频复制-移动伪造检测方案。
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引用次数: 12
期刊
2018 IEEE Conference on Systems, Process and Control (ICSPC)
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