• Journal of Electrical Engineering and Technology
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• v.12 no.1
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• pp.262-271
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• 2017

This paper presents a novel concept of phase swapping to associate multiple flux weakening ranges to a non-salient PM machine without altering any hardware of the machine. The proposed concept enables a dual three-phase machine to be operated with different displacement angles between the two three-phase windings. Hence, different flux weakening ranges using winding switching can be accomplished by applying this concept. It was also demonstrated that the proposed concept can be utilized for the discrete step as well as continuous operation of the machines. Any application requiring a wide speed range operation of up to thirteen times the base speed can benefit from this proposed concept. Analytical, simulation, and experimental results are provided to validate the effectiveness of the proposed concept.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.90-93
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• 2008

In natural language, it is common that repetitive constituents in an expression are to be left out and it is necessary to figure out the constituents omitted at analyzing the meaning of the sentence. This paper is on recognition of boundaries of parallel noun phrases by figuring out constituents omitted. Recognition of parallel noun phrases can greatly reduce complexity at the phase of sentence parsing. Moreover, in natural language information retrieval, recognition of noun with modifiers can play an important role in making indexes. We propose an unsupervised probabilistic model that identifies parallel cores as well as boundaries of parallel noun phrases conjoined by a conjunctive particle. It is based on the idea of swapping constituents, utilizing symmetry (two or more identical constituents are repeated) and reversibility (the order of constituents is changeable) in parallel structure. Semantic features of the modifiers around parallel noun phrase, are also used the probabilistic swapping model. The model is language-independent and in this paper presented on parallel noun phrases in Korean language. Experiment shows that our probabilistic model outperforms symmetry-based model and supervised machine learning based approaches.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.30-32
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• 2013

현재 차세대 메모리로 불리는 스토리지 클래스 메모리는 빠른 속도, 비휘발성, 바이트 단위 데이터 접근 등의 장점으로 많은 관심을 갖고 있다. 스토리지 클래스 메모리중 하나인 PCM(PhaseChange Memory)은 높은 집적도로 현재 상용화 단계이나 낮은 내구도를 지니고 있어 이를 해결하기 위한 마모도 균등화 기법이 필수적으로 요구된다. 본 논문에서는 마모도 균등화 기법들의 비교 및 분석을 통해 현존하는 마모도 균등화 기법들의 한계를 알아보고 이를 극복하기 위한 새로운 블록 교환 마모도 균등화 기법을 소개한다.