Nonhuman Primates, a Valuable Animal Model in Biomedical Research

Weizhi JI 한국실험동물학회 2015 한국실험동물학회 학술발표대회 논문집 Vol.2015 No.8

Combined ML and QR Detection Algorithm for MIMO-OFDM Systems with Perfect ChanneI State Information

Weizhi You,Lilin Yi,Weisheng Hu 한국전자통신연구원 2013 ETRI Journal Vol.35 No.3

An effective signal detection algorithm with low complexity is presented for multiple-input multiple-output orthogonal frequency division multiplexing systems. The proposed technique, QR-MLD, combines the conventional maximum likelihood detection (MLD) algorithm and the QR algorithm, resulting in much lower complexity compared to MLD. The proposed technique is compared with a similar algorithm, showing that the complexity of the proposed technique with T=1 is a 95% improvement over that of MLD, at the expense of about a 2-dB signalto- noise-ratio (SNR) degradation for a bit error rate (BER) of 10–3. Additionally, with T=2, the proposed technique reduces the complexity by 73% for multiplications and 80% for additions and enhances the SNR performance about 1 dB for a BER of 10–3.

Holistic Joint Optimal Cooperative Spectrum Sensing and Transmission Based on Cooperative Communication in Cognitive Radio

( Weizhi Zhong ),( Kunqi Chen ),( Xin Liu ),( Jianjiang Zhou ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.3

In order to utilize the licensed channel of cognitive radio (CR) when the primary user (PU) is detected busy, a benefit-exchange access mode based on cooperative communication is proposed to allow secondary user (SU) to access the busy channel through giving assistance to PU`s communication in exchange for some transmission bandwidth. A holistic joint optimization problem is formulated to maximize the total throughput of CR system through jointly optimizing the parameters of cooperative spectrum sensing (CSS), including the local sensing time, the pre-configured sensing decision threshold, the forward power of cooperative communication, and the bandwidth and transmission power allocated to SUs in benefit-exchange access mode and traditional access mode, respectively. To solve this complex problem, a combination of bi-level optimization, interior-point optimization and exhaustive optimization is proposed. Simulation results show that, compared with the tradition throughput maximizing model (TTMM), the proposed holistic joint optimization model (HJOM) can make use of the channel effectively even if PU is busy, and the total throughput of CR obtains a considerable improvement by HJOM.

SORTING SEMICONDUCTING SINGLE-WALLED CARBON NANOTUBES AND USING THEM AS RANDOM NETWORK OF FIELD-EFFECT TRANSISTORS

LingLi Zhang,Weizhi Wang,XIAOYONG PAN 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.4

Single-walled carbon nanotubes (SWCNTs) with incovalently attached iodine, were obtained byphysical absorption. The di®erent diameter sizes of SWCNTs, with di®erent numbers of iodinemolecule, enhance the density contrast between them which becomes evident in density gradientultracentrifugation (DGU) targeted to sort certain species of SWCNTs. The results of opticalabsorbance and photoluminescence emission showed that iodine-assisted DGU preferentiallyseparates semiconducting nanotubes with certain diameters [(6, 5), (7, 5), (8, 4), and (7, 6)].Wehave applied these semiconducting, species enriched SWCNTs to prepare solution-processed ¯elde®ect transistor (FET) devices with random nanotube network active channels. The devicesexhibit stable p-type semiconductor behavior in air with very promising characteristics. The on-o® current ratio reaches up to 2 ? 10 4 within a narrow window of voltage ( ? 10 V to 10 V), andestimated hole mobility of 21.7 cm2V? 1 s? 1 .

AEG-1 aggravates inflammation via promoting NALP3 inflammasome formation in murine endometriosis lesions

Juan Zhao,Wei Ma,Weizhi Chen,Jie Gao,Chunling Li,Yahong Tong,Qin Zhou,Xiuling Zhao,Menghua Wang,Huan Xiao,Yanrong Jin 한국통합생물학회 2019 Animal cells and systems Vol.23 No.6

Endometriosis (EMs) is one of the most common gynaecological diseases in women of childbearing age. Astrocyte elevated gene-1 (AEG-1) is associated with the invasion, migration, apoptosis and prognosis of various cancers. However, the roles of AEG-1 in EMs and its corresponding molecular mechanism are still unknown. In this study, animal models of EMs were established and mice were divided into two groups (n = 10): Sham group and EMs group. The EMs cells were isolated from EMs model. The AEG-1 gene was knocked down by shRNA, while the SOCS1 gene was knocked down by siRNA. Histological changes, AEG-1 expression in tissues and inflammatory factors level were detected by H&E staining, immunohistochemistry and ELISA, respectively. RTqPCR and western blotting were used to determine the expression level of related proteins. The present study found AEG-1 was up-regulated in the EMs model. Enhanced AEG-1 promoted inflammatory cell infiltration, and elevated the levels of IL-1β, IL-6, and TNF-α in EM group (p < 0.05). Besides, AEG-1 overexpression promoted the expression of NALP3, ASC and Cleavedcaspase- 1, while decreased SOCS1 level (p < 0.05). Decrease of SOCS1 further promoted the formation of NALP3 inflammasome. The inhibitory effect of AEG-1 on SOCS1 was weakened after the addition of MG-132 (p < 0.01). Furthermore, silencing AEG-1 alone increased SOCS1 level, decreased the levels of inflammatory cytokines, thereby inhibited the formation of NALP3 inflammasome. All these results demonstrated that AEG-1 aggravated inflammation via promoting NALP3 inflammasome formation in murine endometriosis lesions.

Human Action Recognition Bases on Local Action Attributes

Jing Zhang,Hong Lin,Weizhi Nie,Lekha Chaisorn,Yongkang Wong,Mohan S Kankanhalli 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.3

Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

Human Action Recognition Bases on Local Action Attributes

Zhang, Jing,Lin, Hong,Nie, Weizhi,Chaisorn, Lekha,Wong, Yongkang,Kankanhalli, Mohan S The Korean Institute of Electrical Engineers 2015 Journal of Electrical Engineering & Technology Vol.10 No.3

Human action recognition received many interest in the computer vision community. Most of the existing methods focus on either construct robust descriptor from the temporal domain, or computational method to exploit the discriminative power of the descriptor. In this paper we explore the idea of using local action attributes to form an action descriptor, where an action is no longer characterized with the motion changes in the temporal domain but the local semantic description of the action. We propose an novel framework where introduces local action attributes to represent an action for the final human action categorization. The local action attributes are defined for each body part which are independent from the global action. The resulting attribute descriptor is used to jointly model human action to achieve robust performance. In addition, we conduct some study on the impact of using body local and global low-level feature for the aforementioned attributes. Experiments on the KTH dataset and the MV-TJU dataset show that our local action attribute based descriptor improve action recognition performance.

SH-BlockCC: A secure and efficient Internet of things smart home architecture based on cloud computing and blockchain technology

Singh, Saurabh,Ra, In-Ho,Meng, Weizhi,Kaur, Maninder,Cho, Gi Hwan Taylor & Francis 2019 INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWOR Vol.15 No.4

The Effects of Image Dehazing Methods Using Dehazing Contrast-Enhancement Filters on Image Compression

( Liping Wang ),( Xiao Zhou ),( Chengyou Wang ),( Weizhi Li ) 한국인터넷정보학회 2016 KSII Transactions on Internet and Information Syst Vol.10 No.7

To obtain well-dehazed images at the receiver while sustaining low bit rates in the transmission pipeline, this paper investigates the effects of image dehazing methods using dehazing contrast-enhancement filters on image compression for surveillance systems. At first, this paper proposes a novel image dehazing method by using a new method of calculating the transmission function―namely, the direct denoising method. Next, we deduce the dehazing effects of the direct denoising method and image dehazing method based on dark channel prior (DCP) on image compression in terms of ringing artifacts and blocking artifacts. It can be concluded that the direct denoising method performs better than the DCP method for decompressed (reconstructed) images. We also improve the direct denoising method to obtain more desirable dehazed images with higher contrast, using the saliency map as the guidance image to modify the transmission function. Finally, we adjust the parameters of dehazing contrast-enhancement filters to obtain a corresponding composite peak signal-to-noise ratio (CPSNR) and blind image quality assessment (BIQA) of the decompressed images. Experimental results show that different filters have different effects on image compression. Moreover, our proposed dehazing method can strike a balance between image dehazing and image compression.

Ore geology, and H, O, S, Pb, Ar isotopic constraints on the genesis of the Lengshuibeigou Pb-Zn-Ag deposit, China

Changming Wang,Xinyu He,Changhai Yan,Wende Lü,Weizhi Sun 한국지질과학협의회 2013 Geosciences Journal Vol.17 No.2

The Lengshuibeigou Pb-Zn-Ag deposit is located in the Qinling superlarge metallogenic belt, China. The Pb-Zn-Ag orebodies are hosted in the Proterozoic Luanchuan Group. The ore types are hydrothermal veins and skarns type. The ore-forming process can be divided into three stages: (1) quartz-pyrite; (2) quartz-sulphide; and (3) quartz-carbonate. This paper used stable and radiogenic isotopes to study the characteristics of the Lengshuibeigou Pb-Zn-Ag deposit. The temperature and salinity of fluids tend to decrease from the early skarn and quartz- pyrite stages to the late quartz-carbonate stage. The ranges of 18OH2O (SMOW) and DH2O (SMOW) values of the ore-forming fluids range from –0.03 to +4.97‰ and from –83.00 to –72.00‰, respectively. The 34SV-CDT values of pyrite, sphalerite and galena from the skarn-type and hydrothermal-type vein ores range from +0.34 to +5.88‰, which is similar to those of porphyry-type Mo-W deposits in the area, but is different from those in the strata. The sulphur in both types of ores may have been derived from magmatic sources. The ranges of 206Pb/204Pb, 207Pb/204Pb and 208Pb/204Pb ratios in the sulphide ores are 17.457–17.765, 15.423–15.606 and 37.712–39.012, respectively, which are comparable with those of feldspars in porphyry granites in the Nannihu ore field and less radiogenic than those in the host strata. These new data support the likelihood that the fluids and metals associated with Lengshuibeigou Pb-Zn-Ag deposit were carried by the porphyry magmatic system. The 40Ar/39Ar plateau age of 137.9 ± 0.4 Ma age obtained from the Lengshuibeigou Pb-Zn-Ag deposit is likely its mineralization age. This paper is useful not only for interpretation of the genesis of the magmatic-hydrothermal deposits but also significant for mineral exploration in the area especially for finding large deposits in large magmatic districts where various types of base metal deposits might occur.