• Title/Summary/Keyword: Novel techniques

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Comparative Study of the Nucleotide Bias Between the Novel H1N1 and H5N1 Subtypes of Influenza A Viruses Using Bioinformatics Techniques

  • Ahn, In-Sung;Son, Hyeon-Seok
    • Journal of Microbiology and Biotechnology
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    • v.20 no.1
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    • pp.63-70
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    • 2010
  • Novel influenza A (H1N1) is a newly emerged flu virus that was first detected in April 2009. Unlike the avian influenza (H5N1), this virus has been known to be able to spread from human to human directly. Although it is uncertain how severe this novel H1N1 virus will be in terms of human illness, the illness may be more widespread because most people will not have immunity to it. In this study, we compared the codon usage bias between the novel H1N1 influenza A viruses and other viruses such as H1N1 and H5N1 subtypes to investigate the genomic patterns of novel influenza A (H1N1). Totally, 1,675 nucleotide sequences of the hemagglutinin (HA) and neuraminidase (NA) genes of influenza A virus, including H1N1 and H5N1 subtypes occurring from 2004 to 2009, were used. As a result, we found that the novel H1N1 influenza A viruses showed the most close correlations with the swine-origin H1N1 subtypes than other H1N1 viruses, in the result from not only the analysis of nucleotide compositions, but also the phylogenetic analysis. Although the genetic sequences of novel H1N1 subtypes were not exactly the same as the other H1N1 subtypes, the HA and NA genes of novel H1N1s showed very similar codon usage patterns with other H1N1 subtypes, especially with the swine-origin H1N1 influenza A viruses. Our findings strongly suggested that those novel H1N1 viruses seemed to be originated from the swine-host H1N1 viruses in terms of the codon usage patterns.

Temporal and spatial outlier detection in wireless sensor networks

  • Nguyen, Hoc Thai;Thai, Nguyen Huu
    • ETRI Journal
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    • v.41 no.4
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    • pp.437-451
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    • 2019
  • Outlier detection techniques play an important role in enhancing the reliability of data communication in wireless sensor networks (WSNs). Considering the importance of outlier detection in WSNs, many outlier detection techniques have been proposed. Unfortunately, most of these techniques still have some potential limitations, that is, (a) high rate of false positives, (b) high time complexity, and (c) failure to detect outliers online. Moreover, these approaches mainly focus on either temporal outliers or spatial outliers. Therefore, this paper aims to introduce novel algorithms that successfully detect both temporal outliers and spatial outliers. Our contributions are twofold: (i) modifying the Hampel Identifier (HI) algorithm to achieve high accuracy identification rate in temporal outlier detection, (ii) combining the Gaussian process (GP) model and graph-based outlier detection technique to improve the performance of the algorithm in spatial outlier detection. The results demonstrate that our techniques outperform the state-of-the-art methods in terms of accuracy and work well with various data types.

A Novel Thresholding for Prediction Analytics with Machine Learning Techniques

  • Shakir, Khan;Reemiah Muneer, Alotaibi
    • International Journal of Computer Science & Network Security
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    • v.23 no.1
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    • pp.33-40
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    • 2023
  • Machine-learning techniques are discovering effective performance on data analytics. Classification and regression are supported for prediction on different kinds of data. There are various breeds of classification techniques are using based on nature of data. Threshold determination is essential to making better model for unlabelled data. In this paper, threshold value applied as range, based on min-max normalization technique for creating labels and multiclass classification performed on rainfall data. Binary classification is applied on autism data and classification techniques applied on child abuse data. Performance of each technique analysed with the evaluation metrics.

Understanding "The Art of Fiction" ("The Art of Fiction"의 이해(理解))

  • Kim, Chung-Il
    • English Language & Literature Teaching
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    • no.4
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    • pp.269-284
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    • 1998
  • The purpose of this thesis is to understand Henry Jame's theory of the novel and to clarify the importance of him as a theorist. He developed many literary techniques through his dozens of works. But it is more important that he is a theorist who established the unique theory of novel through his critical essays. I arranged Jame's early theories, focusing on "The Art of Fiction" that was one of his major essays written in 1884. His main idea was that the purpose of novel was to represent life. The "experience" that James emphasized was composed of characters, impression and consciousness. "Psychological Realism", which is Jame's unique realism, reflected his interests in the inner mind of man. James believed in the capacity of human imagination as the source of creative inspiration and its ability to perceive reality in a manner that is more intense and comprehensive and transform it into a more balanced and orderly ideality. Henry James always insisted on the importance of writer's imagination. Another important imagination in Henry Jame's novel is the character's imagination. It is closely related with the consciousness, the heart of the Jame's literary world. James devised the new form of novel as well as the possibility of representation of mind. At this point, it is said that James was the pioneer of literary criticism. He evoked the trend of the early 20th century.

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An application of the Novel Method to Detect Partial Discharges for GITR using Pockels Sensor (포켈스 센서를 이용한 부분 방전 측정 기술의 GITR 적용)

  • Lee, Jae-Ho;Chang, Yong-Moo;Koo, Ja-Yoon;Park, Ki-Jun;Lee, Young-Sang
    • Proceedings of the KIEE Conference
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    • 2004.07c
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    • pp.1997-1999
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    • 2004
  • In this paper, a novel method has been proposed by use of HY-Pockels sensor for the detection of PD in GITR(Gas Insulated Transformer) in order to improve reliability and to overcome the shortcomings of other techniques which are currently employed. For this work, different types of the test specimen, simulating the winding of the real GITR, have been designed and fabricated to generate the PD. And then, the detection of PD has been realized by conventional methods according to IEC 270 and also the proposed novel sensor as well. Afterwards, their results are well compared to understand the correlation between the nature of the defects in the winding and their PD pattern.

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A Novel Wideband and Compact Photonic Bandgap Structure using Double-Plane Superposition (양면 중첩기법을 이용하는 새로운 광대역의 소형 포토닉 밴드갭 구조)

  • 김진양;방현국
    • Proceedings of the Korea Electromagnetic Engineering Society Conference
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    • 2002.11a
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    • pp.413-422
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    • 2002
  • A novel photonic bandgap(PBG) structure is proposed and measured for wide bandgap and compact circuit applications. The proposed structure realizes the ultra-wideband bandgap(2-octave) characteristics by superposing two different PBG structures into a coupled double-plane configuration. A low pass filter fabricated using 3-period of the PBG cells shows 2-octave 10 ㏈ stopband from 4.3 to 16.2 ㎓ and 0.2 ㏈ insertion loss in the passband. Moreover, we confirmed that 44∼70 % size reduction can be achieved using the proposed PBG structures. We expect this novel double-plane PBG structure is widely used for compact and wideband circuit applications, such as compact high-efficiency power amplifiers using harmonic tuning techniques.

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A Novel Image Encryption Using Calligraphy Based Scan Method and Random Number

  • Sivakumar, T;Venkatesan, R
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.6
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    • pp.2317-2337
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    • 2015
  • Cryptography provides an effective solution to secure the communication over public networks. The communication over public networks that includes electronic commerce, business and military services, necessitates the requirement of simple and robust encryption techniques. In this paper, a novel image encryption method which employs calligraphy based hybrid scan and random number is presented. The original image is scrambled by pixel position permutation with calligraphy based diagonal and novel calligraphy based scan patterns. The cipher image is obtained by XORing the scrambled image with random numbers. The suggested method resists statistical, differential, entropy, and noise attacks which have been demonstrated with a set of standard images.

Nonlinear Observer-based Control of Synchronous Machine Drive System

  • Sundrica, Marijo;Erceg, Igor;Maljkovic, Zlatko
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1035-1047
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    • 2015
  • Starting from a new dynamic system description novel synchronous machine deterministic observers are proposed. Reduced and full order adaptive observer variations are presented. Based on the feedback linearization control law and the use of deterministic observer a novel control system is built. It meets the requirements of high performance tracking system. Adaptivity to stator and rotor resistance and the torque sensorless application is included. The comparison of the proposed novel control with conventional linear and nonlinear control systems is discussed. The given simulational study includes complete drive system integration.

Dual Sampling-Based CMOS Active Pixel Sensor with a Novel Correlated Double Sampling Circuit

  • Jo, Sung-Hyun;Bae, Myung-Han;Jung, Joon-Taek;Choi, Pyung;Shin, Jang-Kyoo
    • Journal of Sensor Science and Technology
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    • v.21 no.1
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    • pp.7-12
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    • 2012
  • In this paper, we propose a 4-transistor active pixel sensor(APS) with a novel correlated double sampling(CDS) circuit for the purpose of extending dynamic range. Dual sampling techniques can overcome low-sensitivity and temporal disparity problems at low illumination. To accomplish this, two images are obtained at the same time using different sensitivities. The novel CDS circuit proposed in this paper contains MOS switches that make it possible for the capacitance of a conventional CDS circuit to function as a charge pump, so that the proposed APS exhibits an extended dynamic range as well as reduced noise. The designed circuit was fabricated by using $0.35{\mu}m$ 2-poly 4-metal standard CMOS technology and its characteristics have been evaluated.

Novel Antibiotic Peptides, Tylopeptins A and B, from Tylopilus neofelleus: Isolation, Identification, and Biological Activity

  • Lee, Sang-Jun;Yun, Bong-Sik;Cho, Duk-Hyun;Yoo, Ick-Dong
    • Proceedings of the Korean Society of Applied Pharmacology
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    • 1998.11a
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    • pp.133-133
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    • 1998
  • Tylopeptins A and B are novel peptides from methanol extract of fruit body of mushroom, Tylopilus neofelleus, These novel peptides were isolated by reverse-phase HPLC. And they have been shown to consist of one acetylated N -terminal residue, fourteen amino acids, and leucinol, C-terminal amino alcohol. Sequencial determination and complete 1H and 13C resonance assignments were based on positive ion F AB mass spectroscopy and two dimensional NMR techniques using HOHAHA, ROSEY, HMQC, and HMBC. These compounds are active against some Gram-positive bacteria, but inactive against phathogenic fungi and Gram-negative bacteria.

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