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DE-CMA：An Improved Blind Equalization Algorithm Used in3G Connection Systems

Wang Ji,Hu Aiqun,Song Yubo

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 54-57

Abstract:

The convergence of the Constant-modulus algorithm widely used in DVB system is a complex problem.Firstly,some influencing factors such as cost function,iterative equation and filter coefficients are considered;then,in this paper,an ameliorative algorithm with time-delay estimate is proposed,which can avoid converging to the ill solution by correcting the position of main path.Simulation results demonstrate the proposed algorithm can highly improve the convergence performance of the primary one.Besides,its simplicity and efficiency make it feasible in the high-rate 3G connection application.

Keywords： blind equalization     CMA     ill-convergence     time-delay-estimate    

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Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 177-184 doi: 10.1007/s11783-014-0710-9

Abstract: A novel water control technology that combines the features of a reticular blind drainage system andThe reticular blind drain system, which was installed on the bottom and side walls of the landfill sitegroundwater inflow was avoided upon installation of the vertical hierarchical drainage and reticular blind

Keywords： landfill     reticular blind drain     vertical hierarchical drain     guidance and drainage     impermeable layer    

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Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 7,   Pages 519-531 doi: 10.1631/FITEE.1400399

Abstract: With the increasing energy consumption of computing systems and the growing advocacy for green computing, energy efficiency has become one of the critical challenges in high-performance heterogeneous computing systems. Energy consumption can be reduced by not only hardware design but also software design. In this paper, we propose an energy-aware scheduling algorithm with equalized frequency, called EASEF, for parallel applications on heterogeneous computing systems. The EASEF approach aims to minimize the finish time and overall energy consumption. First, EASEF extracts the set of paths from an application. Then, it reconstructs the application based on the extracted set of paths to achieve a reasonable schedule. Finally, it adopts a progressive way to equalize the frequency of tasks to reduce the total energy consumption of systems. Randomly generated applications and two real-world applications are examined in our experiments. Experimental results show that the EASEF algorithm outperforms two existing algorithms in terms of makespan and energy consumption.

Keywords： Directed acyclic graph     Dynamic voltage scaling     Energy aware     Heterogeneous systems     Task scheduling    

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therapy based on traditional Chinese medicine patterns on patients with pneumoconiosis: a pilot double-blind

Frontiers of Medicine 2022, Volume 16, Issue 5,   Pages 736-744 doi: 10.1007/s11684-021-0870-5

Abstract: A double-blind, randomized, and placebo-controlled trial was conducted for 24 weeks, in which 96 patients

Keywords： pneumoconiosis     randomized controlled trials     traditional Chinese medicine    

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Analysis on annealing-induced stress of blind-via TSV using FEM

Jie SHAO, Tielin SHI, Li DU, Lei SU, Xiangning LU, Guanglan LIAO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 401-410 doi: 10.1007/s11465-017-0457-7

Abstract: via shape and SiO2 liner uniformity on the thermo-mechanical properties of copper-filled blind-via

Keywords： through silicon via (TSV)     annealing-induced stress     interface stress     plastic deformation     finite element method    

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Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition Article

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 738-750 doi: 10.1631/FITEE.1500380

Abstract: We propose a method for histogram equalization using supplement sets to improve the performance of speakerThe ranks of sample values for histogram equalization are estimated in ascending order from both thesuch as cepstral mean normalization (CMN), cepstral mean and variance normalization (MVN), histogram equalization

Keywords： Speaker recognition     Histogram equalization     i-vector    

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Blind Multi-user Detection Based on Simplified LSCMA in STBC Coded MC－CDMA Systems

Xiong Yilan,Li Guangzeng

Strategic Study of CAE 2007, Volume 9, Issue 5,   Pages 42-45

Abstract: STBC) ,  a simple and feasible algorithm based on constant modulus (CM) criterion is proposed for blind

Keywords： space time block code     MC-CDMA     constant modulus algorithm     blind multi_user detection    

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Micro － blind mesh thermal control study and simulation of nano-satellite

Yang Juan,Li Yunze,Wang Jun

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 169-172

Abstract: Micro-blind mesh can resolve this problem properly.The intelligent control strategy of micro-blind mesh' s drive is the key technology.

Keywords： nano-satellite     micro-blind mesh     fuzzy PI controller     simulation    

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Amultimodal dense convolution network for blind image quality assessment Research Article

Nandhini CHOCKALINGAM, Brindha MURUGAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1601-1615 doi: 10.1631/FITEE.2200534

Abstract: Technological advancements continue to expand the communications industry’s potential. Images, which are an important component in strengthening communication, are widely available. Therefore, image quality assessment (IQA) is critical in improving content delivered to end users. Convolutional neural networks (CNNs) used in IQA face two common challenges. One issue is that these methods fail to provide the best representation of the image. The other issue is that the models have a large number of parameters, which easily leads to overfitting. To address these issues, the dense convolution network (DSC-Net), a model with fewer parameters, is proposed for . Moreover, it is obvious that the use of multimodal data for has improved the performance of applications. As a result, fuses the texture features extracted using the gray-level co-occurrence matrix (GLCM) method and spatial features extracted using DSC-Net and predicts the image quality. The performance of the proposed framework on the benchmark synthetic datasets LIVE, TID2013, and KADID-10k demonstrates that the MDSC-Net approach achieves good performance over state-of-the-art methods for the NR-IQA task.

Keywords： No-reference image quality assessment (NR-IQA)     Blind image quality assessment     Multimodal dense convolution    

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Space-frequency Joint Blind Multi-user Detection Algorithm in Smart Antenna MC-CDMA System

Fu Hongliang,Feng Guangzeng

Strategic Study of CAE 2006, Volume 8, Issue 2,   Pages 34-38

Abstract:

A space-frequency joint blind multi-user adaptive detection algorithm in smart antenna MC-CDMA system

Keywords： smart antenna     multi-carrier     CDMA     joint detection    

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Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 46-49 doi: 10.1007/s11465-007-0007-9

Abstract: A blind identification method was developed for the threshold auto-regressive (TAR) model.

Keywords： speed-up     classifier     practical     extraction     experiment    

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Post-quantum blind signcryption scheme from lattice Research Articles

Huifang Yu, Lu Bai,yuhuifang@xupt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6,   Pages 891-901 doi: 10.1631/FITEE.2000099

Abstract: (BSC) can guarantee the blindness and untrackability of signcrypted messages, and moreover, it provides simultaneous unforgeability and confidentiality. Most traditional BSC schemes are based on the number theory. However, with the rapid development of quantum computing, traditional BSC systems are faced with severe security threats. As promising candidate cryptosystems with the ability to resist attacks from quantum computing, s have attracted increasing attention in academic fields. In this paper, a post-quantum scheme from lattice (PQ-LBSCS) is devised by applying BSC to s. PQ-LBSCS inherits the advantages of the and technique. PQ-LBSCS is provably secure under the hard assumptions of the learning with error problem and small integer solution problem in the standard model. Simulations are carried out using the Matlab tool to analyze the computational efficiency, and the simulation results show that PQ-LBSCS is more efficient than previous schemes. PQ-LBSCS has extensive application prospects in e-commerce, mobile communication, and smart cards.

Keywords： 格密码系统；盲签密；抗量子计算；带错误学习问题；最短向量问题    

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FM Radio Based Non-cooperative Bistatic Radar Experimental System

Wang Yan

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 39-42

Abstract:

An experimental FM radio based non-cooperative bistatic radar is briefly described,  and two related key techniques,  i. e. line-of-sight (LOS) signal cancellation and targets detection,  are listed in this paper.  Other than algorithms appeared in most papers,  NLMS based non-causal filters are used to equalize the array multi-channel differences.  The LOS signal about 80 dB above the noise level is cancelled completely after joint time-space processing.  Civil airplanes are detected 300 km away.  Experimental data verifies the simplicity and effectiveness of the proposed method.

Keywords： FM radio     non-cooperative bistatic radar     LOS signal     equalization     DBF    

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A Comprehensive Approach for the Clustering of Similar-Performance Cells for the Design of a Lithium-Ion Battery Module for Electric Vehicles Article

Wei Li, Siqi Chen, Xiongbin Peng, Mi Xiao, Liang Gao, Akhil Garg, Nengsheng Bao

Engineering 2019, Volume 5, Issue 4,   Pages 795-802 doi: 10.1016/j.eng.2019.07.005

Abstract:

An energy-storage system comprised of lithium-ion battery modules is considered to be a core component of new energy vehicles, as it provides the main power source for the transmission system. However, manufacturing defects in battery modules lead to variations in performance among the cells used in series or parallel configuration. This variation results in incomplete charge and discharge of batteries and non-uniform temperature distribution, which further lead to reduction of cycle life and battery capacity over time. To solve this problem, this work uses experimental and numerical methods to conduct a comprehensive investigation on the clustering of battery cells with similar performance in order to produce a battery module with improved electrochemical performance. Experiments were first performed by dismantling battery modules for the measurement of performance parameters. The k-means clustering and support vector clustering (SVC) algorithms were then employed to produce battery modules composed of 12 cells each. Experimental verification of the results obtained from the clustering analysis was performed by measuring the temperature rise in the cells over a certain period, while air cooling was provided. It was found that the SVC-clustered battery module in Category 3 exhibited the best performance, with a maximum observed temperature of 32 ℃. By contrast, the maximum observed temperatures of the other battery modules were higher, at 40 ℃ for Category 1 (manufacturer), 36 ℃ for Category 2 (manufacturer), and 35 ℃ for Category 4 (k-means-clustered battery module).

Keywords： Clustering algorithm     Battery module     Equalization     Electric vehicle    

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A multi-sensor-system cooperative scheduling method for ground area detection and target tracking Research Article

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 245-258 doi: 10.1631/FITEE.2200121

Abstract: A multi-sensor-system cooperative scheduling method for multi-task collaboration is proposed in this paper. We studied the method for application in ground and . The aim of is to select the optimal sensors to complete the assigned combat tasks and obtain the best combat benefits. First, an model was built, and the method of calculating the detection risk was proposed to quantify the detection benefits in scheduling. Then, combining the information on and the , a ground model was established, in which the posterior Carmér-Rao lower bound was applied to evaluate future tracking accuracy. Finally, an objective function was developed which considers the requirements of detection, tracking, and energy consumption control. By solving the objective function, the optimal sensor-scheduling scheme can be obtained. Simulation results showed that the proposed sensor-scheduling method can select suitable sensors to complete the required combat tasks, and provide good performance in terms of , , and energy consumption control.

Keywords： Sensor scheduling     Area detection     Target tracking     Road constraints     Doppler blind zone    

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Title Author Date Type Operation

DE-CMA：An Improved Blind Equalization Algorithm Used in3G Connection Systems

Wang Ji,Hu Aiqun,Song Yubo

Journal Article

Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Journal Article

Energy-aware scheduling with reconstruction and frequency equalization on heterogeneous systems

Yong-xing LIU,Ken-li LI,Zhuo TANG,Ke-qin LI

Journal Article

therapy based on traditional Chinese medicine patterns on patients with pneumoconiosis: a pilot double-blind

Journal Article

Analysis on annealing-induced stress of blind-via TSV using FEM

Jie SHAO, Tielin SHI, Li DU, Lei SU, Xiangning LU, Guanglan LIAO

Journal Article

Histogram equalization using a reduced feature set of background speakers’ utterances for speaker recognition

Myung-jae KIM, Il-ho YANG, Min-seok KIM, Ha-jin YU

Journal Article

Blind Multi-user Detection Based on Simplified LSCMA in STBC Coded MC－CDMA Systems

Xiong Yilan,Li Guangzeng

Journal Article

Micro － blind mesh thermal control study and simulation of nano-satellite

Yang Juan,Li Yunze,Wang Jun

Journal Article

Amultimodal dense convolution network for blind image quality assessment

Nandhini CHOCKALINGAM, Brindha MURUGAN

Journal Article

Space-frequency Joint Blind Multi-user Detection Algorithm in Smart Antenna MC-CDMA System

Fu Hongliang,Feng Guangzeng

Journal Article

Blind identification of threshold auto-regressive model for machine fault diagnosis

LI Zhinong, HE Yongyong, CHU Fulei, WU Zhaotong

Journal Article

Post-quantum blind signcryption scheme from lattice

Huifang Yu, Lu Bai,yuhuifang@xupt.edu.cn

Journal Article

FM Radio Based Non-cooperative Bistatic Radar Experimental System

Wang Yan

Journal Article

A Comprehensive Approach for the Clustering of Similar-Performance Cells for the Design of a Lithium-Ion Battery Module for Electric Vehicles

Wei Li, Siqi Chen, Xiongbin Peng, Mi Xiao, Liang Gao, Akhil Garg, Nengsheng Bao

Journal Article

A multi-sensor-system cooperative scheduling method for ground area detection and target tracking

Yunpu ZHANG, Qiang FU, Ganlin SHAN

Journal Article