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Diabetes is one of the most prevalent diseases worldwide, and hundreds of millions of patients are suffering from diabetes and its serious complications. Early detection and early treatment are urgent needed for clinical diagnosis of diabetics. In this work, we establish a gene coexpression network framework to identify biomarkers of transcripts with highly different gene coexpression patterns in...
In this paper, a slack variable-based control variable parameterization (CVP) method is proposed for solving engineering dynamic optimization problems with inequality path constraints. An improved slack variable transform technique is introduced so that the original problem is converted into an unconstrained dynamic optimization problem (uDOP). No approximation error generated and the inequality path...
Some rheumatoid arthritis patients are not clinical response to Rituximab treatment, so the identification of candidate genes for Rituximab response is very important which might contribute to improve the response chance. This paper identifies the candidate genes in a module view, which is more robust and biologically meaningful compared to the conventional gene differentially expressed analysis....
In order to cover unknown workspace of mobile robots, an area-coverage path planning which is controlled by a novel memristor-based double-stroll chaotic system has been proposed in this paper. The motion path of the mobile robots is unpredictability, randomly, and evenly. The characteristics of unpredictability of motion path and the fast scanning have lots of usage, such as the surveillance of terrains,...
In the paper, we address the attitude control and momentum management problem of the spacecraft with patrial sate information. A three-axis coupled nonlinear dynamics subject to various uncertainties is investigated, and the ADRC technique is applied. The proposed control scheme synthesizes a linear quadric regulator controller, a ΜΙΜΟ-type extended state observer and a novel compensator, which only...
Identifying effective cancer biomarkers is crucial in precision medicine. Based on the high-throughput available omics data such as microarray, this paper aims to identify potential biomarker genes for hepatocellular carcinoma by bioinformatics and machine learning. We describe the gene coexpressions with network model and detect out the genes that are closely related to liver cancer infected by hepatitis...
Processor manufacturers have adopted SIMD for decades because of its superior performance and power efficiency. The configurations of SIMD registers (i.e., the number and width) have evolved and diverged rapidly through various ISA extensions on different architectures. However, migrating legacy or proprietary applications optimized for one guest ISA to another host ISA that has fewer but longer SIMD...
For the past few years, optical interconnects technology has been developed rapidly. At the same time, many problems and difficulties need to be solved immediately. There is a difficult problem in optical coupling that the coupling efficiency between fiber and slab waveguide is quite low. The coupling efficiency impacts the property of optical devices directly. The purpose of the paper is to design...
For some Chinese complex sentences, sentiment classification is a challenge. Convolutional Neural Network was used to English sentiment classification by the researchers such as Kim, which achieved very good results. In the new framework designed in this paper, Convolutional Neural Network is used to extract the features of the word embedding and sequence features of word vectors based on lexicon...
According to existed switched system theorem, packet-loss rate determines the stability of NCSs. With the core purpose to provide low packet-loss rate for distributed networked control systems (NCSs) under constraint communication environment, the transmission optimization problem is discussed from global communication aspect. Firstly, network induced delay is described as time-correlative function...
This paper focus on the admissible consensus problem for a class of singular discrete-time multi-agent systems. Based on graph, algebra and singular system theory, the consensus protocol of static output feedback form is proposed and designed. Sufficient and necessary conditions are obtained to solve the consensus problem for singular discrete-time multi-agent systems. The conditions depend on the...
This paper investigates the optimal consensus problems of both continuous-time and discrete-time multiagent systems based on the proposed global cost functions. Based on the LQR perspective and the the proposed global cost functions, we derive the optimal consensus protocols and the optimal topologies for both the continuous-time and discrete-time multiagent systems cases. The results shows that the...
This paper investigates causal consensus problem of a class of singular (descriptor) multi-agent systems with network delays, fixed topology. For the studied systems, different from traditional open-loop prediction approach, a pseudo predictor based on closed-loop artificial system is proposed to predict the future state. For the time-varying delay, a data-receiving policy is proposed to turn it into...
Demand fluctuations along with the requirements of cost-effectiveness, high customization, high product quality lead to a significant increase in manufacturing dynamics and complexity. These fluctuations disturb the work plan and lead to performance deterioration. Capacity adjustment is one of the major approaches to react on the fluctuations in demand. In this paper, we focus on improving the potential...
This paper presents a novel access control scheme for personal health record(PHR) data in cloud computing. The scheme utilizes attribute-based encryption(ABE), hash function and symmetric encryption to realize a fine-grained, multi- privilege access control to PHR. The patients can share their PHR with medical staff from various departments with different privileges securely. The experimental results...
Packet collision and packet delay are considered to be critical for safety applications in vehicular networks. This paper designs a new analytical model to evaluate the performance of channel switching for IEEE 802.11p/WAVE in vehicular networks. Under this model, it explicitly expresses the WAVE channel switching, and constructs contention window size and number of vehicles as packet collision probability...
The industry's first 10nm low power high performance mobile SoC has been successfully ramped in production. Thanks to a thorough design-technology co-development, 10nm SoC is 16% faster, 37% smaller, and 30% lower power than its 14nm predecessor. The latest SoC features a gigabit class modem and is set to advance AR/VR, AJ, machine learning, and computing. 10nm FinFet technology scaling challenges...
A multiterminal Energy Interconnection System Based on MMC was developed, which connected active sub-modules, DC grids and AC grids. However, the power imbalance of the active sub-modules exists in this system, for example, inconsistent maximum power points of the PV panels will lead to system power loss. In order to solve the problem, this paper first presents a power control scheme between the three-terminals,...
We study the impact of asymmetric loading on the power saving performance of EPON networks. It is generally observed that asymmetric loading often leads to reduced network performance compared to that from symmetric loading. For such network, an adaptive bandwidth assignment scheme according for traffic load can be set to meet the target of delay performance or power saving effect.
ZigBee is most widely used in the Wireless Sensor Network (WSN) in all the network protocol because of its low power consumption, On the other hand, ZigBee's rate is so low that we can't design a product that has the high value of practical application by using it, especially, Internet of Things (IoT) is applied to all walks of life, such as smart home and intelligent industry, needing a high rate...
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