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IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob)

作者： Devi, Anak Agung Putu Bunga Surya Istikmal Karna, Nyoman Telkom Univ Multimedia Big Data & Cybersecur Lab Fac Elect Enginering Bandung Indonesia

ISBN: (纸本)9781728148656

One of the features of a smart home is fire detection. There have been many developments in previous studies, but not many have implemented a detection system with the fuzzy logic method. Therefore, in this research we have developed a fire detection system that applies fuzzy logic methods and algorithms. We used Raspberry pi 3 as the embedded system, DHT-11 and MQ-2 sensors to detect fires. Detection results will be processed using a fuzzy system and the results will be notified through the WhatsApp application and monitored through the web. The test results show that the system that has been developed is running well and can be used as a fire detection system in smart homes.

关键词： Fire detection Raspberry pi 3 fuzzy logic algorithm DHT-11 MQ-2

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Developing Shinta's Early Deterioration Detection by using fuzzy logic algorithm in Indonesia

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ENFERMERIA CLINICA 2019年第Sup2期29卷 905-909页

作者： Silaswati, Shintha Sahar, Junaiti Sari, Nina Kemala Bardosono, Saptawati Christanto, Bino Univ Indonesia Fac Nursing Depok West Java Indonesia Bani Saleh Hlth Sci Inst Bekasi West Java Indonesia Dr Ciptomangunkusumo Hosp Jakarta Indonesia

Objective: To design an application that detects health deterioration in elderly (System for Health Aging Instrument Automation) Shinta's Early Deterioration Detection (SEDD) by using fuzzy logic algorithm (FLA) for smartphone and android. Method: The study design was experimental with simple random sampling method involving 130 data. Fuzzification, inference, and defuzzification are a process to formulate a mapping of independent variables processed into a groundwork, which decides dependent variables (output) by using fuzzy logic. Results: Prototype or android-based Shinta's Early Deterioration Detection model facilitates detection of health deterioration in older people who are admitted in hospital in Indonesia with accuracy value alpha 96.85% and effectiveness value beta 36.5 s. Conclusion: SEDD is able to evaluate health deterioration in elderly patient at the moment of admission in ward. Nurse may make a clinical decision immediately. It may reduce the risk for disability and mortality as well. (C) 2019 Elsevier Espana, S.L.U. All rights reserved.

关键词： Elderly deterioration detection fuzzy logic algorithm Indonesia's instrument

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SUGPO: A White Spot Disease Detection in Shrimps Using Hybrid Neural Networks with fuzzy logic algorithm 2018

SUGPO: A White Spot Disease Detection in Shrimps Using Hybri...

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6th International Conference on Information Technology - IoT and Smart City (ICIT)

作者： Fabregas, Aleta C. Cruz, Debrelie Marmeto, Mark Daniel Polytech Univ Philippines A Mabini CampusAnonas St Manila 1016 Philippines

ISBN: (纸本)9781450366298

Shrimp is a high-value commodity and one of the major aquaculture species not only in the Philippines but in the world. White Spot Syndrome Virus (WSSV) is a virus that has been infecting shrimp farms and affecting the shrimp productions across the globe. Manual disease inspection among the shrimps is a time consuming process in the management of shrimp farms. Thus, the researchers conducted this study in able to provide a fast disease inspection tool in order to early detect the infection before the disease results to an outbreak. The researchers developed a system that detects the white spot disease among the shrimps. Image processing techniques was utilized in the system as well as Artificial Intelligence algorithms such as Artificial Neural Network (ANN) and fuzzy logic. ANN has the ability to learn and classify an input base on its learnings, whereas fuzzy logic is known for dealing with uncertainties. The main objective of this study is to determine the accuracy and reliability rate of the tool in detecting the WSSV using the hybrid algorithm of ANN and fuzzy logic considering the color of the spot, location of the white spots and the discoloration in the body of the shrimp. For the testing of the system, 50 samples of shrimps were used. The system assessed each samples by analyzing the images of the shrimps. In evaluating a set of Shrimp samples, the system's diagnosis and the expert's diagnosis were compared and analyzed. The researchers used the confusion matrix and the accuracy rate formula for the computation of the accuracy rate and the Test-Retest Reliability equation for the computation of the reliability rate. The result of the tool produced a system performance with 90% accuracy rate and a reliability rate of 0.8 which is equivalent to Good Reliability. Thus, the result of this study shows that ANN and fuzzy logic are effective algorithms to utilize in automated disease diagnostics like the white spot disease detection.

关键词： Hybrid neural networks fuzzy logic algorithm image processing white spot syndrome white spot syndrome virus

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Estimation of the Degree of Polymerization (DP) in Oil-Paper Insulation System Based on Dielectric and DGA Data Using fuzzy logic algorithm 4

Estimation of the Degree of Polymerization (DP) in Oil-Paper...

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4th IEEE Conference on Power Engineering and Renewable Energy (ICPERE)

作者： Nasution, Eldi F. Prasojo, Rahman A. Suwarno Kinkeldey, T. Werle, P. Inst Teknol Bandung Sch Elect Engn & Informat Bandung Indonesia PT PLN Persero Jakarta Indonesia Leibniz Univ Hannover Inst Elect Power Syst Div High Voltage Engn & Asset Management Schering Inst Callinstr 25A D-30167 Hannover Germany

ISBN: (纸本)9781538674567

The power plant system produces energy to be transmitted to load center through transmission system and distribution system. The transformer connects these three systems by converting the voltage level of each system. Fault on the transformer will disrupt the power supply to the load center. To maintain the availability of the transformer, the asset owner must be able to manage the transformer assets optimally. The condition of the transformer should be monitored for appropriate maintenance with the component fault. The condition of the transformer is determined by the condition of the paper insulation. The condition of paper insulation is difficult to measure directly since it requires high cost and potentially damage the transformer components. This paper shows the attempt to determine paper insulation condition without direct measurement on paper insulation. Calculation of the prediction of paper insulation condition is based on dielectric characteristics and DGA data in oil insulation of transformer. This calculation will use the fuzzy logic algorithm.

关键词： fuzzy logic algorithm degree of polymerization insulation transformer oil paper acidity interfacial tension carbonmonoxide carbondioxide

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fuzzy logic algorithm of hovering control for the quadrotor unmanned aerial system

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International Journal of Intelligent Computing and Cybernetics 2017年第4期10卷 451-463页

作者： Lie Yu Jia Chen Yukang Tian Yunzhou Sun Lei Ding School of Electronic and Electrical Engineering Wuhan Textile UniversityWuhanChina School of Information and Engineering Wuhan University of TechnologyWuhanChina

Purpose–The purpose of this paper is to present a control strategy which uses two independent PID controllers to realize the hovering control for unmanned aerial systems(UASs).In addition,the aim of using two PID controller is to achieve the position control and velocity control ***/methodology/approach–The dynamic of the UASs is mathematically *** PID controller is used for position tracking control,while the other is selected for the vertical component of velocity tracking ***,fuzzy logic algorithm is presented to use the actual horizontal component of velocity to compute the desired ***–Based on this fuzzy logic algorithm,the control error of the horizontal component of velocity tracking control is narrowed gradually to be *** results show that the fuzzy logic algorithm can make the UASs hover still in the air and vertical to the *** implications–The acquired results are based on simulation not ***/value–This is the first study to use two independent PID controllers to realize stable hovering control for *** is also the first to use the velocity of the UAS to calculate the desired position.

关键词： fuzzy logic algorithm Hovering control Position tracking control Unmanned aerial systems Velocity tracking control

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Active vibration control of a hoop truss structure with piezoelectric bending actuators based on a fuzzy logic algorithm

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SMART MATERIALS AND STRUCTURES 2018年第8期27卷 085030-085030页

作者： Luo, Yajun Zhang, Xue Zhang, Yahong Qu, Yuandong Xu, Minglong Fu, Kunkun Ye, Lin Xi An Jiao Tong Univ Sch Aerosp Engn State Key Lab Strength & Vibrat Mech Struct Shaanxi Engn Lab Vibrat Control Aerosp Struct Xian 710049 Shaanxi Peoples R China Univ Sydney Sch Aerosp Mech & Mechatron Engn Ctr Adv Mat Technol Sydney NSW 2006 Australia

Active vibration control of large flexible space structure is a challenging topic in the system dynamics and control of spacecraft. This paper proposes a novel approach for vibration control on a large hoop truss structure, typically used as mesh satellite antenna. First, to suppress the first-order bending modal response of the hoop truss structure with an initial disturbance, a piezoelectric bending actuator with excellent bending actuation performance was carefully designed as a key component of an active vibration control system. Then, the actuating characteristics of the actuator and the dynamic equations of the active structure were analyzed and formulated based on a finite element method. In order to improve the vibration-attenuating effect of the control system, a Mamdani-type fuzzy logic algorithm was employed in a closed-loop control system. Finally, simulations and experiments were implemented to validate the effectiveness of the proposed active control approach and structure. The experimental results showed that the decay time of first-order bending modal response (around 0.34 Hz) of control system reduces by 75% compared with that of the uncontrolled system. The results demonstrate that the proposed active vibration control system has good application potential in controlling the bending modes of a large flexible spacecraft.

关键词： truss structure satellite antenna active vibration control piezoelectric bending actuator fuzzy logic algorithm

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Research on PD detection of 12kV switchgear based on fuzzy logic algorithm 4

Research on PD detection of 12kV switchgear based on fuzzy l...

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4th International Conference on Electric Power Equipment-Switching Technology (ICEPE-ST)

作者： Hou Chunguang Fan Weidong Han Ying Cao Yundong Shenyang Univ Technol Inst Elect Apparat Technol & Applicat Shenyang Liaoning Peoples R China

ISBN: (纸本)9781538616512

In this paper, a new pulse separation technique based on fuzzy logic algorithm is proposed. An equivalent Time-Frequency diagram (TF map) is obtained from the feature extraction and clustering of both PD pulse signal and ambient noise signal. Since different kinds of PD types derived from different PD sources, they will form specific clusters in the TF map. It provides a possibility to classify the millivolt voltage PD pulse signals from the ambient noise signals, enhances the anti-interference ability of the PD detection system, classifies partial discharge patterns and locates PD sources. This paper provides a new idea for the accurate extraction and processing of the PD pulse signal of the 12kV switchgear, which is also helpful to improve the detection sensitivity and locate PD sources.

关键词： switchgear partial discharge fuzzy logic algorithm pulse separation

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eRheumatologist: Mobile-based Expert System for Rheumatology Utilizing fuzzy logic algorithm 2017

eRheumatologist: Mobile-based Expert System for Rheumatology...

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International Conference on Computer Science and Artificial Intelligence (CSAI)

作者： Corpuz, Mark Jade S. Avestro, Junnel Calanda, Fredilyn B. Morco, Roselia C. Angeles, Jean M. Alcala, Carl Matthew S. 938 Aurora Blvd Cubao Quezon City 1109 Philippines

ISBN: (纸本)9781450353922

Rheumatic or musculoskeletal conditions comprise over 150 diseases and syndromes, which are usually progressive and associated with pain. They can broadly be categorized as joint diseases, physical disability, spinal disorders, and conditions resulting from trauma. Musculoskeletal conditions are leading causes of morbidity and disability, giving rise to enormous healthcare expenditures and loss of work. [1] The annual mortality rate per 100,000 people from rheumatoid arthritis in Philippines has increased by 17.6% since 1990, an average of 0.8% a year.[2] Likewise, we developed a mobile-based expert system focusing on rheumatic disease which allows users to diagnose their current rheumatic condition. It allows user to identify the possible cause of their joints and muscle pain. It will benefit the user since the system will enhance their knowledge of rheumatic diseases aside from the basic information they have The system applies the concept of fuzzy logic algorithm to be able to get the possible result of diagnostic testing. This algorithm will allow the system to determine and categorize possible symptoms and evaluated by the different rules as part of the inference engine and validated by the knowledge-based database. The system also includes additional feature in providing information of different rheumatic disease and possible remedies. The system was evaluated by different users such as Rheumatologist, mobile developer and possible user of different ages to ensure that the system achieve its goals and objectives. As a result of the evaluation, users agreed that the application performed its functions as a diagnostic tool, can provide a good interface for ease of access and able to provide a clear and concise information.

关键词： Mobile Expert System fuzzy logic algorithm Prevalence

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Multiplexed control strategy for a multi-input converter using fuzzy logic algorithm

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ELECTRONICS LETTERS 2016年第15期52卷 1327-1328页

作者： Hanif, Noor-ul-Ain Kashif, S. A. R. Saqib, M. A. Univ Engn & Technol Dept Elect Engn Lahore Pakistan

The design analysis of a multi-input converter using an intelligent controller based on fuzzy logic control algorithm is encompassed. The use of dedicated dc-dc converters is going through a transitory phase in smart-grid applications. Different characteristics of inputs can be combined to give desired output operation by using a multi-input converter which is more or less the combination of individual converters sharing a common load thus simultaneously transferring power to the load. The converter with the help of an intelligent algorithm will ensure the buffering time for each input thus multiplexing between various inputs according to the set demand and fluctuating conditions on the input side. Such a converter will behave as a power electronic interface between the utility, user and the renewable energy sources. A three-input cuk converter has been designed for interfacing wind energy sources with the dc load bus and the main grid. Sending power to the main grid incorporates the power quality enhancement features which will be accommodated using the bi-directional inverter connected with the grid to perform the active filtration. Moreover, three fuzzy logic controllers will set the output currents corresponding to each input current by changing their reference voltages according to the power demand.

关键词： DC-DC power convertors fuzzy control intelligent control power supply quality wind power plants DC load bus active filtration bi-directional inverter buffering time dedicated DC-DC converters design analysis fluctuating condition fuzzy logic algorithm fuzzy logic control algorithm fuzzy logic controllers intelligent controller multiinput converter multiplexed control strategy power electronic interface power quality enhancement renewable energy sources set demand condition smart-grid application three-input cuk converter transitory phase wind energy sources

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Identification and Removal of Non-meteorological Echoes in Dual-polarization Radar Data Based on a fuzzy logic algorithm

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Advances in Atmospheric Sciences 2015年第9期32卷 1217-1230页

作者： Bo-Young YE Gyu Won LEE Hong-Mok PARK Department of Astronomy and Atmospheric Sciences Research and Training Team for Future Creative Astrophysicists and CosmologistsKyungpook National University Center for Atmospheric REmote sensing(CARE) Kyungpook National University

A major issue in radar quantitative precipitation estimation is the contamination of radar echoes by non-meteorological targets such as ground clutter,chaff,clear air echoes *** this study,a fuzzy logic algorithm for the identification of non-meteorological echoes is developed using optimized membership functions and weights for the dual-polarization radar located at Mount *** selected precipitation and non-meteorological events,the characteristics of the precipitation and non-meteorological echo are derived by the probability density functions of five fuzzy parameters as functions of reflectivity *** membership functions and weights are then determined by these density ***,the nonmeteorological echoes are identified by combining the membership functions and *** performance is qualitatively evaluated by long-term rain *** detection accuracy of the fuzzy logic algorithm is calculated using the probability of detection（POD）,false alarm rate（FAR）,and clutter–signal ratio（CSR）.In addition,the issues in using filtered dual-polarization data are alleviated.

关键词： dual-polarization radar non-meteorological echo quality control fuzzy logic algorithm

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