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ieee international conference on control system, computing and engineering (iccsce)

作者： Muhammad Mahadi Abdul Jamil Nur Adilah Abd Rahman Daing Noor Farhanah Mohamad Ishak Mohd Nazib Adon Chew Chang Choon Radzi Ambar Ridhwan Abdul Wahab Faculty of Electric and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor Malaysia. International Islamic University Malaysia Kuantan Pahang Malaysia

ISBN: (数字)9781728135007

ISBN: (纸本)9781728135014

This study suggests that natural sources may become an important tool in treating cancer. Neolamarckia cadamba (NC) leaves also well-known as “Anthocephalus Cadamba”, is a precious plant in Ayurvedic medicine. HeLa cells are one of the examples of eukaryotic cells type. It is derived from human cervical cancer cells. This experiment is conducted in different concentrations of NC Leaves (1μg/ml, 5μg/ml, 10μg/ml, 20μg/ml, 30μg/ml, 40μg/ml, 50μg/ml, 60μg/ml, 70μg/ml, 80μg/ml, 90μg/ml and 100μg/ml) for 48 hours. This experiment's result proves that the anti-cancer properties of the extract of NC leaves are by increasing the concentration of extract, the numbers of cell viability will decrease. For contribution, the process of NC leaves extract will be combined with the electroporation process to investigate the effect on HeLa cell. Electroporation parameters used for this study were (voltage 600v/cm, pulse duration 5ms, single pulse).

关键词： Media conferences control systems Electric fields Cervical cancer Standards

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ieee Access Special Section Editorial: Scalable Deep Learning for Big Data

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ieee ACCESS 2020年 8卷 216617-216622页

作者： Han, Liangxiu Zhang, Daoqiang Rana, Omer Pan, Yi Jabbar, Sohail Yousif, Mazin Aloqaily, Moayad Manchester Metropolitan Univ Dept Comp & Math Manchester M1 5GD Lancs England Nanjing Univ Aeronaut & Astronaut Coll Comp Sci & Technol Nanjing 210016 Peoples R China Cardiff Univ Sch Comp Sci & Informat Cardiff CF24 3AA Wales Georgia State Univ Dept Comp Sci Atlanta GA 30302 USA Univ Faisalabad Dept Computat Sci Faisalabad 38000 Pakistan DXC Technol Tysons VA 22102 USA Al Ain Univ Fac Engn Al Ain U Arab Emirates

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Design of Fuzzy Logic control for Automatic Switching OFF Electric Iron

Design of Fuzzy Logic Control for Automatic Switching OFF El...

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ieee international conference on control system, computing and engineering (iccsce)

作者： A. A. Abd Rahim R. Boudville Z. Hussain S. Z. Yahaya K. A. Ahmad Universiti Teknologi MARA 13500 Pulau Pinang Permatang Pauh Malaysia

ISBN: (数字)9781728135007

ISBN: (纸本)9781728135014

Auto off switch iron is a product that acts like a circuit breaker to interrupt the flow of the electricity from the socket to the iron. Mostly the iron system in the current market still uses the classic switching system which means the output is just produced on and off to control the temperature of iron without permanently cut the current through to iron. Besides, decision making from the latest project only cuts the current if there is no motion and current in low without setting any range to switch the timer to off the iron system. The goal of this product is to develop the fuzzy logic controller (FLC) in the auto off switching iron. Rules of the fuzzy logic enable to control of the complex system to be more effectively compared classical method which operates on discrete value only. The design of the fuzzy logic controller (FLC) will implement in Arduino Nano to control the auto off switch iron. This study uses the current sensor and ultrasonic sensor as the input that will send the signal to the Arduino nano as the controller to set the output. The process of this entire product is to collect the signal from the input which is the sensor, analyze the input in fuzzy controller and obtain the right time to auto off the switch iron. All the rules of membership function will set in Mamdani Fuzzy Inference system in MATLAB software. This project can avoid human interruption to decide the output and make the controller more intelligent to represent the decision.

关键词： Iron Switches Fuzzy logic Acoustics Hardware Motion detection

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Hadoop MapReduce's InputSplit based Indexing for Join Query Processing

Hadoop MapReduce's InputSplit based Indexing for Join Query ...

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ieee international conference on control system, computing and engineering (iccsce)

作者： Rohiza Ahmad M Nordin Zakaria Ali Usman Abdullahi Universiti Teknologi PETRONAS Seri Iskandar Perak Malaysia Federal College of Education (Tech) Gombe Gombe State Nigeria

ISBN: (数字)9781728135007

ISBN: (纸本)9781728135014

Join queries are amongst the most used form of queries, where records from two or more tables or files are retrieved in order to have a comprehensive, comparable and contrasted view of certain data. However, the processing of the join queries come with higher overhead since all the tables or files involved in the process have to be considered. It can easily be imagined how much the overhead could become when data contained in such tables/files is big data. The use of indexing on Hadoop and its abstractions have resulted in improved performance when processing queries. However, even with the use of some of the indexing approaches, the processing of join query indicates higher overhead, except when the amount of data to processed is reduced by the indexing techniques before the query processing even get started. One indexing technique that ensures this, is the InputSplit based index. This paper showcases how InputSplit based indexing can be implemented in Hadoop MapReduce as well the experimental results of running a join query using such index. The results show at least 50% reduction in runtime when compared to both normal Hadoop MapReduce and Clustered Index based on blockIds query processing approaches.

关键词： Indexing Query processing Big Data conferences control systems Runtime

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Vision-based Human Action Recognition on Pre-trained AlexNet

Vision-based Human Action Recognition on Pre-trained AlexNet

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ieee international conference on control system, computing and engineering (iccsce)

作者： NorulNarijah Mohamed Zamri Goh Fan Ling Pang Ying Han Ooi Shih Yin Fac. of Info. Science &Tech. Multimedia University Malaysia Melaka Malaysia

ISBN: (数字)9781728135007

ISBN: (纸本)9781728135014

The Deep learning analysis has been extensively carried out in the context of object/ pattern recognition due to its excellence in feature extraction and classification. However, the superior performance just can be guaranteed with the availability of huge amounts of training data and also high-specification data processing unit to process the data deeper at high speeds. Hence, another alternative is by applying transfer learning. In transfer learning, a neural network model is first trained on a data similar to the targeted data. With that, the knowledge such as features, weights etc. could be leveraged from the trained model to train the new model. In this project, a vision-based human action recognition via a transfer learning is conducted. Specifically, in the proposed approach, the earlier layers of a pre-trained AlexNet is preserved since those extracted low-level features are characterizing generic features which are common to most data. However, the pre-train network is fine-tuned based on our interested data, that is human action data. Since AlexNet requires input data of size 227*227*3, the frames of each video are processed into 3 different templates. The three computed templates are: (1) Motion History Image carrying spatio-temporal information, (2) Binary Motion Energy Image incorporating motion region information and (3) optical flow template holding accumulative motion speed information. The proposed approach is validated on two publicly available databases, which are Weizmann database and KTH database. From the empirical results, a promising performance is obtained with about 90% accuracy from the databases.

关键词： Databases Optical flow conferences Training Deep learning control systems Feature extraction

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Cooperative moving path following for multiple fixed-wing unmanned aerial vehicles with speed constraints

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AUTOMATICA 2019年 100卷 82-89页

作者： Wang, Yuanzhe Wang, Danwei Zhu, Senqiang Nanyang Technol Univ Sch Elect & Elect Engn Singapore 639798 Singapore

This paper is to address a cooperative moving path following (CMPF) problem, in which a fleet of fixed-wing unmanned aerial vehicles (UAVs) are required to converge to and follow a desired geometric moving path while satisfying prespecified speed and spatial constraints. A representative application of the CMPF problem is the challenging mission scenario where a group of UAVs are tasked to track a moving ground target. The proposed methodology is based on the insight that a vehicle can follow a given path only through attitude control, thus leaving its speed as an extra input to be used at the coordination level. To deal with moving path following (MPF) of a single UAV, a non-singular control law is derived to steer the vehicle along the desired moving path which avoids the singularity problem in the previous MPF strategy. For multi-UAV coordination, a pursuit strategy is employed with the introduction of a virtual leader. To account for speed constraints and collision avoidance, conditions are derived under which the combined MPF and multi-UAV coordination closed-loop system is asymptotically stable while speed and spatial constraints are satisfied. Further simulation has been performed to demonstrate the effectiveness of the proposed method. (C) 2018 Elsevier Ltd. All rights reserved.

关键词： Cooperative control Path following Unmanned aerial vehicles

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Simulation and Testing of a Platooning Cooperative Longitudinal controller 2nd

Simulation and Testing of a Platooning Cooperative Longitudi...

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2nd EAI international conference on Intelligent Transport systems (INTSYS)

作者： Hapanchak, Vadym Costa, Antonio Macedo, Joaquim Santos, Alexandre Dias, Bruno Joao Nicolau, M. Ribeiro, Bruno Goncalves, Fabio Gama, Oscar Araujo, Paulo Univ Minho Dept Informat Algoritmi Ctr Campus Gualtar P-4710057 Braga Portugal

ISBN: (纸本)9783030147570;9783030147563

Previous studies have shown that the ITS solution called platooning allows the autonomous collaborative driving and can improve traffic safety and throughput. Traffic flow is optimized by Cooperative Adaptive Cruise control (CACC), which allows for the automatic shortdistance vehicle following, using inter-vehicle wireless communication in addition to onboard sensors. This paper presents the platooning vehicle longitudinal controller evaluation using simulation environment. The employed controller uses ieee 802.11p technology for vehicle-to-vehicle (V2V) communications on Vehicular Ad hoc Network (VANET). To evaluate the CACC the Veins simulation framework was used and the complete simulation setup is described in this paper. The presented analysis expound the methodology to verify controller safety and stability characteristics within the different traffic scenarios and platooning maneuvers using the simulation.

关键词： VANET Simulation ITS IVC CACC Platooning Cooperative driving ieee 802.11p

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Proceedings - 5th ieee international conference on control system, computing and engineering, iccsce 2015

Proceedings - 5th IEEE International Conference on Control S...

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5th ieee international conference on control system, computing and engineering, iccsce 2015

ISBN: (纸本)9781479982523

The proceedings contain 106 papers. The topics discussed include: microcalcification diagnosis in digital mammograms based on wavelet analysis and neural networks;can subspace based learning approach perform on makeup face recognition?;simplified online Q-learning for LEGO EV3 robot;review on simultaneous localization and mapping (SLAM);design of low quantum cost reversible BCD Adder;Computationally Efficient Model of an Active magnetic regenerator;harmony-based monarch butterfly optimization algorithm;ranking in multi label classification of text documents using quantifiers;fractal-based texture and HSV color features for fabric image retrieval;estimation of BMI status via speech signals using short-term cepstral features;classification of muscle fatigue condition using multi-sensors;and assessment muscle fatigue using statistical study and classification: a review.

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Study on the control method of temperature and humidity environment in building intelligent system

Study on the control method of temperature and humidity envi...

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international conference on Smart City and Intelligent Building, ICSCIB 2018

作者： Huang, Kuan Song, Haolin Fu, Hongrui Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China

ISBN: (纸本)9789811367328

Due to the difficulty of establishing the accurate control model for building an intelligent system, a neural network predictive control method is proposed, in this paper, based on a weed optimization algorithm. Through considering indoor temperature and relative humidity environment factors, a control model of temperature and humidity environment is first established in an intelligent building. Then, the hidden layer nodes center of the RBF neural network is optimized by using the weed optimization algorithm. The above mentioned work focuses on improving the shortcomings of Orthogonal Least Squares (OLS) algorithm, and simultaneously simplifies the network architecture. The simulation results show that the RBF neural network predictive control method based on the weed optimization algorithm has better approximation ability and generalization ability contrasting with the OLS algorithm. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Optimization

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Adaptive NN-Based Tracking control for Partial Uncertain Time-Delayed WMR system

Adaptive NN-Based Tracking Control for Partial Uncertain Tim...

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ieee international conference on Real-time computing and Robotics (ieee RCAR)

作者： Ding, Liang Li, Shu Gao, Haibo Gao, Ying Deng, Zongquan Harbin Inst Technol State Key Lab Robot & Syst Harbin 150001 Heilongjiang Peoples R China Tangshan Normal Univ Dept Math & Informat Sci Tangshan 063000 Hebei Peoples R China

ISBN: (纸本)9781538668696

In this paper, an adaptive neural network (NN) -based tracking control algorithm is proposed for the partial uncertain state time-delayed wheeled mobile robotic (WMR) system with. By using the backstepping method, and the appropriate Lyapunov-Krasovskii functionals, a suitable adaptive controllers is designed for the WMR system such that 1) eliminate the influence of partial uncertain time delay on system stability;2) ensure all signals in WMR system to be bounded;3) guarantee the robot can track the desired trajectory with the error convergence to a compact set by zero. The numerical simulation results verify the performance of the proposed control algorithm.

关键词： Adaptive control neural network partial time delay wheeled mobile robot Lyapunov function

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