• Title/Summary/Keyword: fuzzy connected

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Design and Implementation of Solar PV for Power Quality Enhancement in Three-Phase Four-Wire Distribution System

  • Guna Sekar, T.;Anita, R.
    • Journal of Electrical Engineering and Technology
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    • v.10 no.1
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    • pp.75-82
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    • 2015
  • This paper presents a new technique for enhancing power quality by reducing harmonics in the neutral conductor. Three-Phase Four-Wire (3P4W) system is commonly used where single and three phase loads are connected to Point of Common Coupling (PCC). Due to unbalance loads, the 3P4W distribution system becomes unbalance and current flows in the neutral conductor. If loads are non-linear, then the harmonic content of current will flow in neutral conductor. The neutral current that may flow towards transformer neutral point is compensated by using a series active filter. In order to reduce the harmonic content, the series active filter is connected in series with the neutral conductor by which neutral and phase current harmonics are reduced significantly. In this paper, solar PV based inverter circuit is proposed for compensating neutral current harmonics. The simulation is carried out in MATLAB/SIMULINK and also an experimental setup is developed to verify the effectiveness of the proposed method.

Color-based Emotion Analysis Using Fuzzy Logic (퍼지 논리를 이용한 색채 기반 감성 분석)

  • Woo, Young-Woon;Kim, Chang-Kyu;Kim, Chee-Yong
    • Journal of Digital Contents Society
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    • v.9 no.2
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    • pp.245-250
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    • 2008
  • Psychology of color is a research field of psychology for studying human's behavior connected with color. Color carries symbolism and image while sharing psychological consensus with human. Each color has a respective image such as hope, passion, love, life, death, and so on. Peculiar stimuli by colors on these images have great influence on human's emotion and psychology. We therefore proposed a method for understanding human's state of emotion based on colors in this paper. In order to understand human's state of emotion, we analyzed color information used to model a room by a user and then described frequencies of each color as percent using fuzzy inference rules by membership values of fuzzy membership functions for colors used for modeling the room. When we applied the proposed color-based emotion analysis method to emotional state based on colors of Alschuler and Hattwick, we could see the proposed method is efficient.

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Development of a Smart Oriental Medical System Using Security Functions

  • Hong, YouSik;Yoon, Eun-Jun;Heo, Nojeong;Kim, Eun-Ju;Bae, Youngchul
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.14 no.4
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    • pp.268-275
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    • 2014
  • In future, hospitals are expected to automatically issue remote transcriptions. Many general hospitals are planning to encrypt their medical database to secure personal information as mandated by law. The electronic medical record system, picture archiving communication system, and the clinical data warehouse, amongst others, are the preferred targets for which stronger security is planned. In the near future, medical systems can be assumed to be automated and connected to remote locations, such as rural areas, and islands. Connecting patients who are in remote locations to medical complexes that are usually based in larger cities requires not only automatic processing, but also a certain amount of security in terms of medical data that is of a sensitive and critical nature. Unauthorized access to patients' transcription data could result in the data being modified, with possible lethal results. Hence, personal and sensitive data on telemedicine and medical information systems should be encrypted to protect patients from these risks. Login passwords, personal identification information, and biological information should similarly be protected in a systematic way. This paper proposes the use of electronic acupuncture with a built-in multi-pad, which has the advantage of being able to establish a patient's physical condition, while simultaneously treating the patient with acupuncture. This system implements a sensing pad, amplifier, a small signal drive circuit, and a digital signal processing system, while the use of a built-in fuzzy technique and a control algorithm have been proposed for performing analyses.

Design of Neuro-Fuzzy based Intelligent Inference Algorithm for Energy Management System with Legacy Device (비절전 가전기기를 위한 에너지 관리 시스템의 뉴로-퍼지 기반 지능형 추론 알고리즘 설계)

  • Choi, In-Hwan;Yoo, Sung-Hyun;Jung, Jun-Ho;Lim, Myo-Taeg;Oh, Jung-Jun;Song, Moon-Kyou;Ahn, Choon-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.5
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    • pp.779-785
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    • 2015
  • Recently, home energy management system (HEMS) for power consumption reduction has been widely used and studied. The HEMS performs electric power consumption control for the indoor electric device connected to the HEMS. However, a traditional HEMS is used for passive control method using some particular power saving devices. Disadvantages with this traditional HEMS is that these power saving devices should be newly installed to build HEMS environment instead of existing home appliances. Therefore, an HEMS, which performs with existing home appliances, is needed to prevent additional expenses due to the purchase of state-of-the-art devices. In this paper, an intelligent inference algorithm for EMS at home for non-power saving electronic equipment, called legacy devices, is proposed. The algorithm is based on the adaptive network fuzzy inference system (ANFIS) and has a subsystem that notifies retraining schedule to the ANFIS to increase the inference performance. This paper discusses the overview and the architecture of the system, especially in terms of the retraining schedule. In addition, the comparison results show that the proposed algorithm is more accurate than the classic ANFIS-based EMS system.

Sparse Data Cleaning using Multiple Imputations

  • Jun, Sung-Hae;Lee, Seung-Joo;Oh, Kyung-Whan
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.119-124
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    • 2004
  • Real data as web log file tend to be incomplete. But we have to find useful knowledge from these for optimal decision. In web log data, many useful things which are hyperlink information and web usages of connected users may be found. The size of web data is too huge to use for effective knowledge discovery. To make matters worse, they are very sparse. We overcome this sparse problem using Markov Chain Monte Carlo method as multiple imputations. This missing value imputation changes spare web data to complete. Our study may be a useful tool for discovering knowledge from data set with sparseness. The more sparseness of data in increased, the better performance of MCMC imputation is good. We verified our work by experiments using UCI machine learning repository data.

STEERING CONTROL SYSTEM FOR AUTONOMOUS SMALL ORCHARD SPRAYER

  • B. S. Shin;Kim, S. H.;Kim, K. I.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11c
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    • pp.707-714
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    • 2000
  • For self-guiding track-type orchard sprayer, a low-cost steering controller was developed using two ultrasonic sensors, two DC motors and 80196kc microprocessor. The operating principle of controller was to travel the sprayer between artificial targets such as wood stick placed every 1 m along both sides of the demanded path of speed sprayer. Measuring distances to both targets ahead with the ultrasonic sensors mounted on the front end of sprayer, the controller could determine how much offset the position of sprayer was laterally. Then the steering angle was calculated to actuate DC motors connected to the steering clutches, where the fuzzy control algorithm was used. Equipped with the controller developed in this research, the sprayer could be traveled along demanded path, the centerline between targets, at speeds of up to 0.4m/sec with an accuracy of ${\pm}$20cm.

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A Fault Diagnostic Expert System for Silicone Oil-filled Transformer Using Dissolved Gas Analysis (유중가스분석법을 이용한 실리콘 유입변압기 고장진단 전문가 시스템)

  • Moon, Jong-Fil;Kim, Jae-Chul;Choi, Joon-Ho;Jun, Young-Jae;Kim, Oun-Seok
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.374-376
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    • 2001
  • In this paper, we developed the fault diagnostic expert system of silicone-immersed transformer using dissolved gas analysis. The knowledge base module consists of the knowledge using the rule: if Then . The inference engine uses the fuzzy rule for the management of uncertainty of the boundary and rule and derivate the Belief and Plausibility of the normality and fault using Dempster-Shafer theory. The expert system is connected to the database and it can manages the history of gas-data of the transformer.

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Intelligent Diagnosis System for an Electronic Weighting Machine (전자 저울을 위한 지능형 고장 진단 시스템)

  • 김종원;김영구;조현찬;서화일;김두영;이병수
    • Journal of the Korean Institute of Intelligent Systems
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    • v.11 no.9
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    • pp.807-810
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    • 2001
  • Election Weighting Machine is used an electronic scale which has many trouble because of broken load cells. In this paper, we propose an Intelligent Diagnosis System will for an electronic weighting machine using fuzzy logic. It s purpose be detect of the load cell s trouble. The electronic circuit of system, which call junction box , will be connected resistance in a series at circuit of Wheatstone Bridge for monitoring the condition of load cells.

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An Intelligent Search Modeling using Avatar Agent

  • Kim, Dae Su
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.3
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    • pp.288-291
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    • 2004
  • This paper proposes an intelligent search modeling using avatar agent. This system consists of some modules such as agent interface, agent management, preprocessor, interface machine. Core-Symbol Database and Spell Checker are related to the preprocessor module and Interface Machine is connected with Best Aggregate Designer. Our avatar agent system does the indexing work that converts user's natural language type sentence to the proper words that is suitable for the specific branch information retrieval. Indexing is one of the preprocessing steps that make it possible to guarantee the specialty of user's input and increases the reliability of the result. It references a database that consists of synonym and specific branch dictionary. The resulting symbol after indexing is used for draft search by the internet search engine. The retrieval page position and link information are stored in the database. We experimented our system with the stock market keyword SAMSUNG_SDI, IBM, and SONY and compared the result with that of Altavista and Google search engine. It showed quite excellent results.

Human Centered Robot for Mutual Interaction in Intelligent Space

  • Jin Tae-Seok;Hashimoto Hideki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.5 no.3
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    • pp.246-252
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    • 2005
  • Intelligent Space is a space where many sensors and intelligent devices are distributed. Mobile robots exist in this space as physical agents, which provide human with services. To realize this, human and mobile robots have to approach each other as much as possible. Moreover, it is necessary for them to perform interactions naturally. It is desirable for a mobile robot to carry out human affinitive movement. In this research, a mobile robot is controlled by the Intelligent Space through its resources. The mobile robot is controlled to follow walking human as stably and precisely as possible. In order to follow a human, control law is derived from the assumption that a human and a mobile robot are connected with a virtual spring model. Input velocity to a mobile robot is generated on the basis of the elastic force from the virtual spring in this model. And its performance is verified by the computer simulation and the experiment.