LncRNAs are non-coding RNAs with a length of more than 200 nucleotides. More and evidence shows that lncRNAs inextricably linked diseases. To make up for the shortcomings traditional methods, researchers began to collect relevant biological data in database used bioinformatics prediction tools predict associations between diseases, which greatly improved efficiency study. improve accuracy current we propose new lncRNA-disease method attention mechanism, called ResGCN-A. Firstly, integrated...

Abstract Lithium‐ion capacitors (LICs) are considered promising advanced energy storage devices due to their combination of high and power density. However, the inherent mismatch in charge rate between anode cathode has forced search for materials with accelerated reaction kinetics. Herein, heterogeneous flower‐like SnS 2 @few‐layer Ti 3 C (SnS @f‐Ti ) composites asymmetric distribution through Sn─O─Ti bonded prepared, which can regulate electronic structure active sites. Moreover, presence...

A parallel task can always be modelled as a directed acyclic graph (DAG), where sequential instruction blocks are vertices and data dependencies or resource constraints edges. We propose new federated scheduling algorithm for arbitrary-deadline sporadic DAG tasks, assuming that the exact structures of tasks unknown before runtime. Federated algorithms class efficiently schedule by assigning several processors exclusively to each task. Existing studies have shown advantages scheduling, which...

Various scheduling algorithms have been proposed for real-time parallel tasks modeled as a Directed Acyclic Graph (DAG). The capacity augmentation bound is quantitative metric widely used in this field to compare the algorithms. Among existing algorithms, lowest DAG with implicit deadlines 2, which has achieved by federated scheduling. To improve schedulability and lower bound, paper proposes DAG-Fluid, an algorithm based on fluid We prove that DAG-Fluid of 2 - 1/m+1, m number processors...

IEEE 1588 defines a precision time protocol, which is widely used in distributed test and measurement systems. It very important to capture the timestamps of location that can affect synchronization accuracy seriously process. In this paper, we proposed method based on specialized hardware Field Programmable Gate Array (FPGA) between physical layer MAC layer. We designed message detection module frequency compensation clock detect record timestamps, respectively. This eliminate delay jitter...

A face recognition method based on the discrete cosine transform (DCT) and two dimensional linear discriminant analysis (2DLDA) is presented. First, in this paper, dimensionality of original image reduced by using DCT upper-left corner matrix selected to be features image. Next, proper feature are abstracted from truncated coefficient 2DLDA. The proposed algorithms compared with both DCT-based algorithm DCT+LDA which for recognition. Experimental results ORL database show that approach...

With the addition of online laboratories, distance education can become more meaningful and complete. Virtual laboratory is a high efficient tool for practical teaching assisted instruction. This paper design virtual laboratory. Android application structure after analyzing characteristics classification It discusses construction system network-based which used MOOC (massive open courses). environment goes based on conventional computer simulations real cellphone test, could provide students...

Face recognition has been a hot issue of concern to people, existing algorithms mainly for how improve face accuracy, and reduce the use feature vector dimension. A method based on discrete cosine transform SVM-based classification is presented. Recognition DCT coefficients as vectors in problem effective choice. In training process SVM, sample divided into two parts, one part samples using test results selection, resulting accuracy rate selection criteria, proposed algorithm ORL image...

A number of scheduling algorithms have been proposed for real-time parallel tasks modeled as Directed Acyclic Graphs (DAGs). Many them focus on DAG with implicit deadlines. Fewer studies considered constrained deadlines or arbitrary In this study, we propose a strategy based fluid theory and target We prove that the algorithm has capacity augmentation bound 1/2(1++((1+)²4/m)) when multiple deadlines, in which m is processors maximum ratio task period to deadline. This value lower...

Video object recognition for UAV ground detection is widely used in target search, daily patrol, environmental reconnaissance, and other fields. So, we propose the novel parallel deep learning network with ability of global local joint feature extraction video detection. This paper focuses on solving problems background discrimination required by discovery to realize discovery. Break through key real-time recognition, such as multiscale targets, high complexity, many small dense arrangement,...

It is highly important to finish the experiments while learning course of digital circuit design confirm theoretical knowledge in experiment, which makes process an extremely good expansion. However, actual situation, laboratories are often short supply, mainly reflected its spatial limitations, limitations on number instruments and instrument stability especially some poor developing countries. This paper designed a mobile virtual laboratory application (VL-APP) for help students perform...

Abstract Growing evidence shows that long noncoding RNAs (lncRNAs) play an important role in cellular biological processes at multiple levels, such as gene imprinting, immune response, and genetic regulation, are closely related to diseases because of their complex precise control. However, most functions lncRNAs remain undiscovered. Current computational methods for exploring lncRNA can avoid high-throughput experiments, but they usually focus on the construction similarity networks ignore...

Lithium-ion battery has high energy density, strong environmental protection and good performance, is the most widely used power for new vehicles. However, following problem how can we know remaining useful life (RUL) of battery, so as to ensure that people pay attention healthy state batteries replace them in time, thus ensuring security automobile operation. Taking lithium-ion research object, this paper proposed a backpropagation neural network (BPNN) based on improved particle swarm...

AXie is a new standard for constructing automatic testing systems (ATS). It provides an open, high-performance platform instrument modules. However due to some practical consideration, such as the reuse of existing modular instruments or bench top instruments, compatibility should be taken into account when ATS based on AXIe system. In this paper we propose mixed architecture that could integrate AXIe, PXIe, LXI, and GPIB together perform one test task, which takes system main function part...

This paper presents a novel portable chemical oxygen demand (COD) detection method and instrument design based on the microfluidic chip technology. The oxidation reaction temperature are integrated in chip. principle is that there heat released during of organic compounds proportional to amount contained water sample. variation can be converted voltage signal which has linear relationship with COD value. In this research, NaClO solution employed as oxidizer glucose served analyte. Three...