• Title/Summary/Keyword: detection technique

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Improved Convolutional Neural Network Based Cooperative Spectrum Sensing For Cognitive Radio

  • Uppala, Appala Raju;Narasimhulu C, Venkata;Prasad K, Satya
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.6
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    • pp.2128-2147
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    • 2021
  • Cognitive radio systems are being implemented recently to tackle spectrum underutilization problems and aid efficient data traffic. Spectrum sensing is the crucial step in cognitive applications in which cognitive user detects the presence of primary user (PU) in a particular channel thereby switching to another channel for continuous transmission. In cognitive radio systems, the capacity to precisely identify the primary user's signal is essential to secondary user so as to use idle licensed spectrum. Based on the inherent capability, a new spectrum sensing technique is proposed in this paper to identify all types of primary user signals in a cognitive radio condition. Hence, a spectrum sensing algorithm using improved convolutional neural network and long short-term memory (CNN-LSTM) is presented. The principle used in our approach is simulated annealing that discovers reasonable number of neurons for each layer of a completely associated deep neural network to tackle the streamlining issue. The probability of detection is considered as the determining parameter to find the efficiency of the proposed algorithm. Experiments are carried under different signal to noise ratio to indicate better performance of the proposed algorithm. The PU signal will have an associated modulation format and hence identifying the presence of a modulation format itself establishes the presence of PU signal.

Effect of Adhesion layer on the Optical Scattering Properties of Plasmonic Au Nanodisc (접착층을 고려한 플라즈모닉 금 나노 디스크의 광산란 특성)

  • Kim, Jooyoung;Cho, Kyuman;Lee, Kyeong-Seok
    • Korean Journal of Metals and Materials
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    • v.46 no.7
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    • pp.464-470
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    • 2008
  • Metallic nanostructures have great potential for bio-chemical sensor applications due to the excitation of localized surface plasmon and its sensitive response to environmental change. Unlike the commonly explored absorption-based sensing, the optical scattering provides single particle detection scheme. For the localized surface plasmon resonance spectroscopy, the metallic nanostructures with controlled shape and size have been usually fabricated on adhesion-layer pre-coated transparent glass substrates. In this study, we calculated the optical scattering properties of plasmonic Au nanodisc using a discrete dipole approximation method and analyzed the effect of adhesion layer on them. Our result also indicates that there is a trade-off between the surface plasmon damping and the capability of supporting nanostructures in determining the optimal thickness of adhesion layer. Marginal thickness of Ti adhesion layer for supporting Au nanostructures fabricated on a silica glass substrate was experimentally analyzed by an adhesion strength test using a nano-indentation technique.

Analysis of Hypoxia-Inducible Factor Stabilizers by a Modified QuEChERS Extraction for Antidoping Analysis

  • Kim, Si Hyun;Lim, Nu Ri;Min, Hophil;Sung, Changmin;Oh, Han Bin;Kim, Ki Hun
    • Mass Spectrometry Letters
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    • v.11 no.4
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    • pp.118-124
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    • 2020
  • An analytical method was developed for hypoxia-inducible factor (HIF) stabilizers based on QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe) sample preparation and liquid chromatography-high resolution mass spectrometry analysis. HIF stabilizers potentially enhance the performance of athletes, and hence, they have been prohibited. However, the analysis of urinary HIF stabilizers is not easy owing to their unique structure and characteristics. Hence, we developed the QuEChERS preparation technique for a complementary method and optimized the pH, volume of extraction solvent, and number of extractions. We found that double extraction with 1% of formic acid in acetonitrile provided the highest recovery of HIF stabilizers. Moreover, the composition of the mobile phase was also optimized for better separation of molidustat and IOX4. The developed method was validated in terms of its precision, detection limit, matrix effect, and recovery for ISO accreditation. To the best of our knowledge, this is the first demonstration of the application of the QuEChERS method, which is suitable as a complementary analytical method, in antidoping.

An Improved Steganography Method Based on Least-Significant-Bit Substitution and Pixel-Value Differencing

  • Liu, Hsing-Han;Su, Pin-Chang;Hsu, Meng-Hua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.11
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    • pp.4537-4556
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    • 2020
  • This research was based on the study conducted by Khodaei et al. (2012), namely, the least-significant-bit (LSB) substitution combined with the pixel-value differencing (PVD) steganography, and presented an improved irreversible image steganography method. Such a method was developed through integrating the improved LSB substitution with the modulus function-based PVD steganography to increase steganographic capacity of the original technique while maintaining the quality of images. It partitions the cover image into non-overlapped blocks, each of which consists of 3 consecutive pixels. The 2nd pixel represents the base, in which secret data are embedded by using the 3-bit LSB substitution. Each of the other 2 pixels is paired with the base respectively for embedding secret data by using an improved modulus PVD method. The experiment results showed that the method can greatly increase steganographic capacity in comparison with other PVD-based techniques (by a maximum amount of 135%), on the premise that the quality of images is maintained. Last but not least, 2 security analyses, the pixel difference histogram (PDH) and the content-selective residual (CSR) steganalysis were performed. The results indicated that the method is capable of preventing the detection of the 2 common techniques.

Flavonoids analysis in leaves and fruits of Korean mulberry cultivar, Baekokwang having white fruits

  • Lee, Sora;Kim, Soo Hyun;Koo, Bonwoo;Kim, Hyun-Bok;Jo, You-Young;Kweon, HaeYong;Ju, Wan-Taek
    • International Journal of Industrial Entomology and Biomaterials
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    • v.41 no.2
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    • pp.45-50
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    • 2020
  • Morus alba has white and/or purple fruits with a very sweet taste and low acidity. Most Korean mulberry trees have purple fruits. However, Baekokwang is a unique mulberry genetic resource in Korea with white fruits. In this study, flavonoids contents of Baekokwang mulberry leaf and fruit were analyzed using ultrahigh performance liquid chromatography coupled with diode array detection and quadrupole time-of-flight mass spectrometry (UPLC-DAD-QTOF/MS) technique. UPLC-DAD-QTOF/MS chromatogram showed that 15 flavonoids and 9 flavonoids were isolated and identified from the mulberry leaf and fruit. Total flavonoids contents of Baekokwang leaves and fruits were 812.7 mg and 35.0 mg, respectively. Baekokwang leaves had 4 major flavonoids including quercetin 3-O-(6"-O-malonyl) glucoside, 235.3 ppm, kaempferol 3-O-(6"-O-malonyl) glucoside, 132.3 ppm, kaempferol 3-O-rutinoside (nicotiflorin), 108.1 ppm, and quercetin 3-O-rutinoside (rutin), 103.8 ppm. Baekokwang fruits had 3 major flavonoids including quercetin 3-O-(6"-O-malonyl) glucoside, 13.0 ppm, quercetin 3-O-rutinoside (rutin), 7.8 ppm, and kaempferol 3-O-rutinoside (nicotiflorin), 5.7 ppm. From the above results, mulberry leaves have rich flavonoids compared to its fruits.

Multichannel Convolution Neural Network Classification for the Detection of Histological Pattern in Prostate Biopsy Images

  • Bhattacharjee, Subrata;Prakash, Deekshitha;Kim, Cho-Hee;Choi, Heung-Kook
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1486-1495
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    • 2020
  • The analysis of digital microscopy images plays a vital role in computer-aided diagnosis (CAD) and prognosis. The main purpose of this paper is to develop a machine learning technique to predict the histological grades in prostate biopsy. To perform a multiclass classification, an AI-based deep learning algorithm, a multichannel convolutional neural network (MCCNN) was developed by connecting layers with artificial neurons inspired by the human brain system. The histological grades that were used for the analysis are benign, grade 3, grade 4, and grade 5. The proposed approach aims to classify multiple patterns of images extracted from the whole slide image (WSI) of a prostate biopsy based on the Gleason grading system. The Multichannel Convolution Neural Network (MCCNN) model takes three input channels (Red, Green, and Blue) to extract the computational features from each channel and concatenate them for multiclass classification. Stain normalization was carried out for each histological grade to standardize the intensity and contrast level in the image. The proposed model has been trained, validated, and tested with the histopathological images and has achieved an average accuracy of 96.4%, 94.6%, and 95.1%, respectively.

Selection of PAUT probes for submarine pressure hull integrity assessment

  • Jung, Min-jae;Park, Byeong-cheol;Lim, Chae-og;Lee, Jae-chul;Shin, Sung-chul
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.12 no.1
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    • pp.578-595
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    • 2020
  • Submarine pressure hulls must withstand high hydraulic pressure and be free of defects. To improve the precision of defect detection, we herein examined different probes for optimal defect assessment by applying the Phased Array Ultrasonic Testing (PAUT) method. Two sets of probe design parameters were selected by considering pressure hull characteristics and analyzed through modeling. PAUT probes were applied, and defect assessment results were compared based on ultrasonic signals of various simulated defects in specimens designed to be the same as actual pressure hulls. The final selected design parameters for the submarine probe, which were designed to minimize the grating lobe of wave interference effect and improve the ultrasonic resolution of pressure hull welds, were identified through the experiment. The improvement in the probe's ability to detect defects in a pressure hull was verified. Furthermore, the accuracy of defect length measurement was improved, enhancing the applicability of the technique.

Development and Evaluation of a SYBR Green-Based, Real-time Polymerase Chain Reaction for Rapid and Specific Detection of Human Coxsackievirus B5

  • Cho, Kyu Bong
    • Biomedical Science Letters
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    • v.26 no.4
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    • pp.302-309
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    • 2020
  • Human Coxsackievirus B5 (HuCoxV-B5) infection has been associated with various diseases such as myocarditis, aseptic meningitis, hand-foot-and mouth-disease, and insulin-dependent diabetes. HuCoxV-B5 is a virus transmitted through the fecal-oral route and is detected in clinics, aquatic environments, food, shellfish, etc. and is one of the more important viruses in public health because of its incidence rate reported worldwide. In this study, a combination of SYBR Green-based real-time PCR primers for molecular diagnosis including monitoring of HuCoxV-B5 was selected and the optimal reaction conditions were established. Compared with the previously reported TaqMan probe-based real-time PCR method, assessments including a sample applicability test were performed. Results showed that the real-time PCR method developed in this study was suitable for a molecular diagnostic technique for detecting HuCoxV-B5. This study is expected to contribute to efforts in responding to safety accidents in public health because the proposed method facilitates rapid diagnosis of clinical patients. It can also be used as a specific monitoring tool of HuCoxV-B5 in non-clinical areas such as aquatic environments among others.

Fabrication of Paper-based Biosensor Chip Using Polydimethylsiloxane Blade Coating Method (PDMS 블레이드 코팅법을 이용한 종이-기반 바이오센서칩 제작)

  • Jeong, Heon-Ho;Park, Chami
    • Korean Chemical Engineering Research
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    • v.59 no.1
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    • pp.100-105
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    • 2021
  • This paper proposes the polydimethylsiloxane (PDMS) blade coating method for fabrication of paper-based analytical device (PAD) that is able to monitor the disease diagnosis and progress without special analytical equipment. The mold that has PAD design is easily modified by using laser cutting technique. And the fabricated mold is used for hydrophobic barrier formation by blade coating. We have optimized the stable formation of PDMS hydrophobic barrier as blade coating condition, which is established by analyzing the structure of the PDMS hydrophobic barrier and change of hydrophilic channel size as thickness of the ink and contact time with the chromatography paper. Based on optimal condition, we demonstrate that PAD as biosensor can apply to detect protein, glucose, and metal ion without special analysis equipment.

Ship Monitoring around the Ieodo Ocean Research Station Using FMCW Radar and AIS: November 23-30, 2013

  • Kim, Tae-Ho;Yang, Chan-Su
    • Korean Journal of Remote Sensing
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    • v.38 no.1
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    • pp.45-56
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    • 2022
  • The Ieodo Ocean Research Station (IORS) lies between the exclusive economic zone (EEZ) boundaries of Korea, Japan, and China. The geographical positioning of the IORS makes it ideal for monitoring ships in the area. In this study, we introduce ship monitoring results by Automatic Identification System (AIS) and the Broadband 3GTM radar, which has been developed for use in small ships using the Frequency Modulated Continuous Wave (FMCW) technique. AIS and FMCW radar data were collected at IORS from November 23th to 30th, 2013. The acquired FMCW radar data was converted to 2-D binary image format over pre-processing, including the internal and external noise filtering. The ship positions detected by FMCW radar images were passed into a tracking algorithm. We then compared the detection and tracking results from FMCW radar with AIS information and found that they were relatively well matched. Tracking performance is especially good when ships are across from each other. The results also show good monitoring capability for small fishing ships, even those not equipped with AIS or with a dysfunctional AIS.