• 제목/요약/키워드: Inference of Situation

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Hybrid Fuzzy PI-Control Scheme for Quasi Multi-Pulse Interline Power Flow Controllers Including the P-Q Decoupling Feature

  • Vural, Ahmet Mete;Bayindir, Kamil Cagatay
    • Journal of Power Electronics
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    • v.12 no.5
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    • pp.787-799
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    • 2012
  • Real and reactive power flows on a transmission line interact inherently. This situation degrades power flow controller performance when independent real and reactive power flow regulation is required. In this study, a quasi multi-pulse interline power flow controller (IPFC), consisting of eight six-pulse voltage source converters (VSC) switched at the fundamental frequency is proposed to control real and reactive power flows dynamically on a transmission line in response to a sequence of set-point changes formed by unit-step reference values. It is shown that the proposed hybrid fuzzy-PI commanded IPFC shows better decoupling performance than the parameter optimized PI controllers with analytically calculated feed-forward gains for decoupling. Comparative simulation studies are carried out on a 4-machine 4-bus test power system through a number of case studies. While only the fuzzy inference of the proposed control scheme has been modeled in MATLAB, the power system, converter power circuit, control and calculation blocks have been simulated in PSCAD/EMTDC by interfacing these two packages on-line.

Intelligent Digital Public Address System using Agent Based on Network

  • Kim, Jung-Sook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.23 no.1
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    • pp.87-92
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    • 2013
  • In this paper, we developed a digital and integrated PA(Public Address) system with speech recognition and sensor connection based on IP with an ID using agent. It has facilities such as an external input, a microphone and a radio for a PA system and has speech recognition. If "fire" is spoken to the PA system then it can recognize the emergency situation and will broadcast information to the appropriate agency immediately. In addition to that, many sensors, such as temperature, humidity, and infrared, etc., can be connected to the PA system and can be integrated with the context awareness which contains many types of information about internal statuses using inference agent. Also, developed the digital integrated PA system will make it possible to broadcast the message to adaptable places using network IP based on IDs. Finally, the digital PA system is designed for operation from a PC, which makes installation and setting of operating parameters very simple and user-friendly. For implementation details, we implemented thread based concurrent processing for the events which occur concurrently from many sensors or users.

A Study on Additional Processing Processes for Learning Multiple-input Images and Improving Inference Efficiency in Deep Learning (딥러닝의 다수 입력 이미지 학습 및 추론 효율 향상을 위해 추가적인 처리 프로세스 연구)

  • Choi, Donggyu;Kim, Minyoung;Jang, Jongwook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.44-46
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    • 2021
  • Many cameras are used in real life, and they are often used for monitoring and crime prevention to check the situation of problems beyond just taking pictures for memories. Such surveillance and prevention are generally used only for simple storage, and in systems utilizing multiple cameras, utilizing additional features would require additional hardware specifications. In this paper, we add image input methods and post-object processing processes to process multiple image inputs from one hardware or server that perform object detection systems that deviate from typical image processing. The performance of the method is utilized in both learning and reasoning of the hardware performing deep learning, and allows improved image processing processes to be performed.

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Bayesian Analysis for Categorical Data with Missing Traits Under a Multivariate Threshold Animal Model (다형질 Threshold 개체모형에서 Missing 기록을 포함한 이산형 자료에 대한 Bayesian 분석)

  • Lee, Deuk-Hwan
    • Journal of Animal Science and Technology
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    • v.44 no.2
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    • pp.151-164
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    • 2002
  • Genetic variance and covariance components of the linear traits and the ordered categorical traits, that are usually observed as dichotomous or polychotomous outcomes, were simultaneously estimated in a multivariate threshold animal model with concepts of arbitrary underlying liability scales with Bayesian inference via Gibbs sampling algorithms. A multivariate threshold animal model in this study can be allowed in any combination of missing traits with assuming correlation among the traits considered. Gibbs sampling algorithms as a hierarchical Bayesian inference were used to get reliable point estimates to which marginal posterior means of parameters were assumed. Main point of this study is that the underlying values for the observations on the categorical traits sampled at previous round of iteration and the observations on the continuous traits can be considered to sample the underlying values for categorical data and continuous data with missing at current cycle (see appendix). This study also showed that the underlying variables for missing categorical data should be generated with taking into account for the correlated traits to satisfy the fully conditional posterior distributions of parameters although some of papers (Wang et al., 1997; VanTassell et al., 1998) presented that only the residual effects of missing traits were generated in same situation. In present study, Gibbs samplers for making the fully Bayesian inferences for unknown parameters of interests are played rolls with methodologies to enable the any combinations of the linear and categorical traits with missing observations. Moreover, two kinds of constraints to guarantee identifiability for the arbitrary underlying variables are shown with keeping the fully conditional posterior distributions of those parameters. Numerical example for a threshold animal model included the maternal and permanent environmental effects on a multiple ordered categorical trait as calving ease, a binary trait as non-return rate, and the other normally distributed trait, birth weight, is provided with simulation study.

Real-Time GPU Task Monitoring and Node List Management Techniques for Container Deployment in a Cluster-Based Container Environment (클러스터 기반 컨테이너 환경에서 실시간 GPU 작업 모니터링 및 컨테이너 배치를 위한 노드 리스트 관리기법)

  • Jihun, Kang;Joon-Min, Gil
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.11
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    • pp.381-394
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    • 2022
  • Recently, due to the personalization and customization of data, Internet-based services have increased requirements for real-time processing, such as real-time AI inference and data analysis, which must be handled immediately according to the user's situation or requirement. Real-time tasks have a set deadline from the start of each task to the return of the results, and the guarantee of the deadline is directly linked to the quality of the services. However, traditional container systems are limited in operating real-time tasks because they do not provide the ability to allocate and manage deadlines for tasks executed in containers. In addition, tasks such as AI inference and data analysis basically utilize graphical processing units (GPU), which typically have performance impacts on each other because performance isolation is not provided between containers. And the resource usage of the node alone cannot determine the deadline guarantee rate of each container or whether to deploy a new real-time container. In this paper, we propose a monitoring technique for tracking and managing the execution status of deadlines and real-time GPU tasks in containers to support real-time processing of GPU tasks running on containers, and a node list management technique for container placement on appropriate nodes to ensure deadlines. Furthermore, we demonstrate from experiments that the proposed technique has a very small impact on the system.

A Study for Autonomous Intelligence of Computer-Generated Forces (가상군(Computer-Generated Forces)의 자율지능화 방안 연구)

  • Han, Chang-Hee;Cho, Jun-Ho;Lee, Sung-Ki
    • Journal of the Korea Society for Simulation
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    • v.20 no.1
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    • pp.69-77
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    • 2011
  • Modeling and Simulation(M&S) technology gets an attention from various parts such as industry and military. Especially, military uses the technology to cope with a different situation from the one in the Cold War and maximize the effect of training against the cost in the new environment. In order for the training based on M&S technology to be effective, the situations of a battlefield and a combat must be more realistically simulated. For this, a technique development on Computer-Generated Forces(CGF) which represents a unit's simulation logic and a human's simulated behaviors is focused. The CGF simulating a human's behaviors can be used in representing an enemy force, experimenting behaviors in a future war, and developing a new combat idea. This paper describes a methodology to accomplish Computer-Generated Forces' autonomous intelligence. It explains the process of applying a task behavior list based on the METT+T element onto CGFs. On the other hand, in the domain knowledge of military field manual, fuzzy facts such as "fast" and "sufficient" whose real values should be decided by domain experts can be easily found. In order to efficiently implement military simulation logics involved with such subjectivity, using a fuzzy inference methodology can be effective. In this study, a fuzzy inference methodology is also applied.

Orienting Response of Rats Following Damage to the Mammillary Bodies (유두체가 제거된 흰쥐의 정위반응)

  • Kim, Jong-Kyu;Kim, Chul
    • The Korean Journal of Physiology
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    • v.6 no.2
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    • pp.1-8
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    • 1972
  • A study was planned to see if the mammillary bodies have any influence upon orienting response Thirty-nine male rats were divided into two groups. One group of animals received electrolytic lesion of the mammillary bodies through stereotaxically implanted electrodes (mammillary body group), and the other group received the same treatment short of electrolytic lesion(operated control group). All animals were tested for orienting response 3 weeks after surgery. Orienting response was regarded as elicited when an animal in alertness ceased ongoing activity upon 1,000 Hz tone presentation and/or turned head toward the source of stimulus. Weak (momentary and inconspicuous) and strong (marked and more persistent) responses were discriminated. Occurrence and duration of orienting response were measured, and the rate of habituation was estimated in 20 trials. Shift of attention from sound to light stimulus (10 trials) as well as orienting response of thirsty animals to sound stimulus while drinking (5 trials) and while at rest (5 trials) were also tested. 1. Simple orienting respons to sound stimulus tended to occur more often and its duration tended to be shorter in the mammillary body group than in the operated control group. 2. With repetition of trials, the occurrence of orienting response in each trial decreased progressively in both groups (habituation). However, the rate of habituation was significantly less prominent in the mammillary body group than in the operated control group. 3. Under attention·shift situation, orienting response tended to occur less often and its duration tended to be shorter in the mammillary body group than in the operated control group. 4. Orienting response to sound stimulus while drinking to quench thirst tended to occur more often and its duration tended to be shorter in the mammillary body group than in the operated control group. In quiet state, however, there existed no group difference with regard to the occurrence and duration of the orienting response. Although no obvious inference can be drawn from the above results, they may suggest the mammillary bodies being involved in the orienting response as a control mechanism inhibitory to the occurrence and facilitatory to the habituation of the response.

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Role of Online Knowledge Resources in Clinical Decision Making (임상 의사 결정에서 온라인 지식 자원의 역할)

  • Afzal, Muhammad;Hussain, Maqbool;Khan, Wajahat Ali;Ali, Taqdir;Lee, Sungyoung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.450-451
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    • 2012
  • The need of Clinical Decision Support System (CDSS) in healthcare setup is increasing day by day. EHR Meaningful Use advocates CDSS as an important component of EHR/EMR systems. CDSS can be ranged from a simple to a very sophisticated system. The more complex CDSS systems need more attention to develop because of many reasons including its Knowledge Base (KB) structure/maintenance/evolution, inference capabilities and usability. Above all the KB maintenance and evolution is very crucial and important from the perspective of useful decision capabilities. Also the richness of the KB is important to cover the decision gaps handling a particular situation in the course of patient care. It cannot be expected from the clinicians to remember everything in regard to patient diagnosis and treatment. Similarly, it is also crucial for clinicians to keep themselves updated with the new research in the area. That is the reason they frequently require accessing to the online knowledge resources. Literature proved that online knowledge resources are capable providing answers to questions that might not be answered rely only on clinician wisdom and experience. This paper provides the theme of meaningful utilization of online knowledge resources in the context of diagnosis and treatment process for cancer patients more specifically Head and Neck cancer.

Adaptive Projection Matrix Beamformer for Frequency Hopping Systems Robust to Jamming environment (의도적 간접신호에 강한 주파수 도약 시스템용 적응 투영행렬 빔형성 기법)

  • Jung, Sung-Hun;Shim, Sei-Joon;Kim, Sang-Heon;Lee, Chung-Yong;Youn, Dae-Hee
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.42 no.8 s.338
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    • pp.25-32
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    • 2005
  • Frequency hopping system has been adopted to many communication systems in order to overcome the inferior situation such as jamming environment. But typically its processing gain being limited, data interfered by jamming signal could not be fully recovered. This can be enhanced by combing FH system with spatial interference canceller which is a kind of active beamformer In this Paper, we proposed the compensation method of weight vector discrepancy according to the hopped frequencies and the PMBF method which is able to eliminate the inference effectively with less computational complexity. That is, the steering vector of wanted signals can be calculated from the frame without jamming signals using eigen analysis. New projection matrix extracted by the steering vector of wanted signal eliminates the interferences from the covariance matrix of received signal including wanted signal and jamming signals. This PMBF has similar performance of SINR beamformer with less computational complexity.

Smart Affect Jewelry based on Multi-modal (멀티 모달 기반의 스마트 감성 주얼리)

  • Kang, Yun-Jeong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.7
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    • pp.1317-1324
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    • 2016
  • Utilizing the Arduino platform to express the emotions that reflect the colors expressed the jewelry. Emotional color expression utilizes Plutchik's Wheel of Emotions model was applied to the similarity of emotions and colors. It receives the recognized value from the temperature, lighting, sound, pulse sensor and gyro sensor of a smart jewelery that can be easily accessible from your smartphone processes that recognize and process the emotion applied the rules of inference based on ontology. The emotional feelings color depending on the color looking for the emotion seen in context and applied to the smart LED jewelry. The emotion and the color combination of contextual information extracted from the recognition sensors are reflected in the built-in smart LED Jewelry depending on the emotions of the wearer. Take a light plus the emotion in a smart jewelery can represent the emotions of the situation, the doctor will be able to be a tool of representation.