Hybrid Precoding for mmWave Massive MU-MIMO Systems with Overlapped Sub-array: A Modified GLRAM Approach.

Ting Ding,Yongjun Zhao,Lei Zhang 한국통신학회 2021 ICT Express Vol.7 No.4

Mmillimeter-wave (mmWave) massive multiuser multiple-input multiple-output (MU-MIMO) system usually utilizes hybrid precoding to reduce complex hardware and high energy consumption. However, most hybrid precoding scheme consider the fully connected architecture, which may result in a significant loss of energy efficiency. In this paper, we propose a hybrid precoding scheme based on the overlapped subarray architecture (OSA), where the analog part of the MU-MIMO system is realized by a OSA network. Based on the OSA architecture, a modified generalized low rank approximation of matrices (GLRAM) based hybrid precoding scheme is designed to maximize the achievable sum-rate, where the analog precoding algorithm apply the phase alignment technology and GLRAM approach to obtain RF precoder/combiner with high array gain provided by massive MIMO system. Then, the block diagonalization (BD) technology is performed to obtain the digital precoding matrix for the multiplexing gain. Simulation results show that the modified GLRAM based hybrid precoding algorithm for OSA architecture can reduce the number of iterations. Compared with the existing hybrid precoding algorithm, it achieves higher spectral efficiency and lower complexity.

In Order To Book To Catch The Dream

Ting Min Ding 한국콘텐츠학회 2021 ICCC International Digital Design Invitation Exhib Vol.2021 No.8

Dispersal and Control of Anammox Granular Sludge at High Substrate Concentrations

Ting-Ting Chen,Ping Zheng,Li-Dong Shen,Chong-Jian Tang,Shuang Ding 한국생물공학회 2012 Biotechnology and Bioprocess Engineering Vol.17 No.5

This paper reports about the dispersal and control of anammox granular sludge at high substrate concentrations. The results demonstrate that anammox granular sludge would turn into flocculent sludge when the substrate concentrations exceed the inhibitory threshold concentrations, with an apparent drop in the settling velocity of anammox sludge from 73.73 to 16.49 m/h. Moreover, the sludge was washed out of the reactor and a decrease in the nitrogen removal rate from 23.82 to 16.97kg N/(m3/day) was observed. The dominant anammox bacteria in the granular and flocculent sludge were Candidatus Kuenenia stuttgartiensis; however, the contents of heme c and extracellular polymeric substances in the flocculent sludge were much lower than in the granular sludge. Furthermore, the chemical composition of extracellular polymeric substances was different. The high nitrite concentrations more than the inhibitory threshold concentrations were regarded as the reason for the observed granular sludge dispersal and deterioration in reactor performance. The apparent dispersed granular sludge and malfunction of reactor performance could be recovered by means of washing out the residual substrate from the reactor and then re-running the reactor from low substrate concentrations.

Biochemical Characterization of a GDSL-Motif Esterase from Bacillus sp. K91 with a New Putative Catalytic Mechanism

( Jun Mei Ding ),( Ting Ting Yu ),( Lian Ming Liang ),( Zhen Rong Xie ),( Yun Juan Yang ),( Jun Pei Zhou ),( Bo Xu ),( Jun Jun Li ),( Zun Xi Huang ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.11

The esterase gene Est8 from the thermophilic bacterium Bacillus sp. K91 was cloned and expressed in Escherichia coli. The monomeric enzyme exhibited a theoretical molecular mass of 24.5 kDa and an optimal activity around 50°C at pH 9.0. A model of Est8 was constructed using a hypothetical YxiM precursor structure (2O14_A) from Bacillus subtilis as template. The structure showed an α/β-hydrolase fold and indicated the presence of a typical catalytic triad consisting of Ser-11, Asp-182, and His-185, which were investigated by site directed replacements coupled with kinetic characterization. Asp-182 and His-185 residues were more critical than the Ser-11 residue in the catalytic activity of Est8. A comparison of the amino acid sequence showed that Est8 could be grouped into the GDSL family and further classified as an SGNH hydrolase. Est8 is a new member of the SGNH hydrolase subfamily and may employ a different catalytic mechanism.

Comparison of Apixaban and Low Molecular Weight Heparin in Preventing Deep Venous Thrombosis after Total Knee Arthroplasty in Older Adults

Ting Guo,Jian-ning Zhao,Hui Jiang,Jia Meng,Yi-cun Wang,Jun Wang,Yang Qiu,Hao Ding 연세대학교의과대학 2019 Yonsei medical journal Vol.60 No.7

Purpose: To compare the effect of apixaban and low molecular weight heparin (LMWH) in the prevention and treatment of deepvenous thrombosis (DVT) after total knee arthroplasty in older adult patients. Materials and Methods: A total of 220 patients (average age of 67.8±6.4 years) undergoing total knee arthroplasty were randomlyselected as research subjects and were divided into apixaban and LMWH groups (110 in each group). Results: The incidence of DVT was lower in the apixaban group than in the LMWH group (5.5% vs. 20.0%, p=0.001). Activatedpartial thromboplastin times (35.2±3.6 sec vs. 33.7±2.2 sec, p=0.010; 37.8±4.6 sec vs. 34.1±3.2 sec, p<0.001; 39.6±5.1 sec vs. 35.7±3.0sec, p=0.032) and prothrombin times (14.0±1.0 sec vs. 12.8±0.9 sec, p<0.001; 14.5±1.2 sec vs. 13.0±1.1 sec, p<0.001; 15.3±1.4 sec vs. 13.2±1.3 sec, p=0.009) in the apixaban group at 1 week after surgery, 3 weeks after surgery, and the end of treatment were higherthan those in the LMWH group. Platelet and fibrinogen levels in the apixaban group were lower than those of the LMWH group. Also, capillary plasma viscosity and erythrocyte aggregation in the apixaban group at 1 week after surgery, 3 weeks after surgery,and the end of treatment were lower than those in the LMWH group. Conclusion: Apixaban, which elicits fewer adverse reactions and is safer than LMWH, exhibited better effects in the preventionand treatment of DVT after total knee arthroplasty in older adults.

JointMulti-innovation Recursive Extended Least Squares Parameter and State Estimation for a Class of State-space Systems

Ting Cui,Feng Ding,Xue-Bo Jin,Ahmed Alsaedi,Tasawar Hayat 제어·로봇·시스템학회 2020 International Journal of Control, Automation, and Vol.18 No.6

The relationship between the parameters and the states of state-space systems is nonlinear, which makes the identification problems of state-space systems complicated. This paper considers the joint parameter and state estimation issues for a class of state-space systems in the observer canonical form with the process noises and the observation noises. By means of the least squares principle and the Kalman filtering, we derive a Kalman filtering based recursive extended least squares algorithm. For purpose of achieving the higher estimation accuracy, a Kalman filtering based multi-innovation recursive extended least squares algorithm is proposed by utilizing a range of available data and more information at each recursion. Finally, the effectiveness of the proposed algorithms is validated through a simulation example.

Mechanical Property Evaluation of TSV-Cu Micropillar by Compression Method

Ting Gu,Ping Cheng,Su Wang,Huiying Wang,Xuhan Dai,Hong Wang,Guifu Ding 대한금속·재료학회 2014 ELECTRONIC MATERIALS LETTERS Vol.10 No.4

A micro-compression test method was presented to evaluate the mechanical property of the TSV-Cu micropillar in this paper. Firstly, the test sample containing TSV-Cu micropillar was prepared by MEMS micromachining technology. Then, the mechanical property of TSV-Cu micropillar was measured by a self-made micro-compression system. Finally, the effect of thermal treatment on the mechanical property of TSV-Cu micropillar was studied. The experimental results showed that the average yield strength (σ0.2) of the TSV-Cu micropillar was 167 MPa. But it decreased to 137 MPa after being thermally treated at 400°C for 1 hour, which was probably due to the increased grain size of Cu.

Patch based Semi-supervised Linear Regression for Face Recognition

( Yuhua Ding ),( Fan Liu ),( Ting Rui ),( Zhenmin Tang ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.8

To deal with single sample face recognition, this paper presents a patch based semi-supervised linear regression (PSLR) algorithm, which draws facial variation information from unlabeled samples. Each facial image is divided into overlapped patches, and a regression model with mapping matrix will be constructed on each patch. Then, we adjust these matrices by mapping unlabeled patches to [1,1,···1]^T. The solutions of all the mapping matrices are integrated into an overall objective function, which uses ℓ_2,1-norm minimization constraints to improve discrimination ability of mapping matrices and reduce the impact of noise. After mapping matrices are computed, we adopt majority-voting strategy to classify the probe samples. To further learn the discrimination information between probe samples and obtain more robust mapping matrices, we also propose a multistage PSLR (MPSLR) algorithm, which iteratively updates the training dataset by adding those reliably labeled probe samples into it. The effectiveness of our approaches is evaluated using three public facial databases. Experimental results prove that our approaches are robust to illumination, expression and occlusion.

Laboratory evaluation of differential attraction of Culex pipiens pallens to the volatiles of flowers, fruits, and seed pods

Bao-Ting Yu,Shu-Qi Huang,Yan-Mei Ding,Hatem Fouad,Hong-Jie Li,Jian-Chu Mo 한국응용곤충학회 2017 Journal of Asia-Pacific Entomology Vol.20 No.4

The attraction of Culex pipiens pallens Coquillett to various potential sugar sources in their habitats remains unknown. In the present study, we evaluated the attraction of Cx. pipiens pallens to the volatiles of different kinds of flowers, fruits, and seed pods by multiple choice tests under laboratory conditions. Nine of the 21 tested fresh tissues of flowers were attractive to females and six of them were attractive to males. The volatiles of six flowers (Ligustrum quihoui, Abelia chinensis, Ophiopogon japonicus, Phaseolus vulgaris, Osmanthus fragrans, and Nerium indicum) were attractive to both female and male Cx. pipiens pallens, and the flowers of Torenia fournieri and Lavandula angustifolia were potentially repellent to female and male mosquitoes, respectively. Besides, the volatiles of three fruits and seed pods (Broussonetia papyrifera, Amygdalus persica, and Cucumis melo) were attractive to both female and male Cx. pipiens pallens while the seed pods of Ficus carica and Pyrus bretschneideri were only attractive to females and males, respectively. This study provides valuable information on developing novel control methods against Cx. pipiens pallens in China.

Differential microRNA Expression by Solexa Sequencing in the Sera of Ovarian Cancer Patients

Ji, Ting,Zheng, Zhi-Guo,Wang, Feng-Mei,Xu, Li-Jian,Li, Lu-Feng,Cheng, Qi-Hui,Guo, Jiang-Feng,Ding, Xian-Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.4

MicroRNAs are a class of small noncoding RNA which play important regulatory roles in a variety of cancers. MiRNA-specific expression profiles have been reported for several pathological conditions. In this study, we combined large scale parallel Solexa sequencing to identify 11 up-regulated miRNAs and 19 down-regulated miRNAs with computational techniques in the sera of ovarian cancer patients while using healthy serum as the control. Among the above, four miRNAs (miR-22, miR-93, miR-106b, miR-451) were validated by quantitative RT-PCR and found to be significantly aberrantly expressed in the serum of ovarian cancer patients (P<0.05). There were no significant differences between samples from cancer stage I/II and III/IV. However, the levels of miR-106b (p=0.003) and miR-451 (p=0.007) were significantly different in those patients under and over 51 yearsof age. MiR-451 and miR-93 were also specific when analyzed with reference to different levels of CA125. This study shows that Solexa sequencing provides a promising method for cancer-related miRNA profiling, and selectively expressed miRNAs could be used as potential serum-based biomarkers for ovarian cancer diagnosis.