Improved direct P code acquisition technique

P code direct acquisition is an important technology in satellite navigation system. As the P code has a long period, it is hard to directly acquire. The traditional average method can process multiple code phases in a time to shorten the acquisition time. But with the increase of average phase error of the input signal and the local code, the correlation signal-to-noise ratio （SNR） loss increases. To reduce the SNR loss, an improved average method is introduced. A new sequence is generated with a summation of phase shifting sequences to decrease correlation peak loss. Simulation results show that compared with direct average method, the improved average method effectively increases correlation SNR.

Multiple bit upsets mitigation in memory by using improved hamming codes and parity codes

This paper combines improved Hamming codes and parity codes to assure the reliability of memory in presence of multiple bit upsets with low cost overhead.The redundancy bits of improved Hamming codes will be appended at the end of data bits,which eliminates the overhead of interspersing the redundancy bits at the encoder and decoder.The reliability of memory is further enhanced by the layout architecture of redundancy bits and data bits.The proposed scheme has been implemented in Verilog and synthesized using the Synopsys tools.The results reveal that the proposed method has about 19% less area penalties and 13% less power consumption comparing with the current two-dimensional error codes,and its latency of encoder and decoder is 63% less than that of Hamming codes.

Image encryption algorithm based on multiple chaotic systems and improved Joseph block scrambling

With the rapid development of digital information technology,images are increasingly used in various fields.To ensure the security of image data,prevent unauthorized tampering and leakage,maintain personal privacy,and protect intellectual property rights,this study proposes an innovative color image encryption algorithm.Initially,the Mersenne Twister algorithm is utilized to generate high-quality pseudo-random numbers,establishing a robust basis for subsequent operations.Subsequently,two distinct chaotic systems,the autonomous non-Hamiltonian chaotic system and the tentlogistic-cosine chaotic mapping,are employed to produce chaotic random sequences.These chaotic sequences are used to control the encoding and decoding process of the DNA,effectively scrambling the image pixels.Furthermore,the complexity of the encryption process is enhanced through improved Joseph block scrambling.Thorough experimental verification,research,and analysis,the average value of the information entropy test data reaches as high as 7.999.Additionally,the average value of the number of pixels change rate(NPCR)test data is 99.6101%,which closely approaches the ideal value of 99.6094%.This algorithm not only guarantees image quality but also substantially raises the difficulty of decryption.

Absolute multi-pole encoder with a simple structure based on an improved gray code to enhance the resolution

We developed a novel absolute multi-pole encoder structure to improve the resolution of the multi-pole encoder, realize absolute output and reduce the manufacturing cost of the encoder. The structure includes two ring alnicos defined as index track and sub-division track, respectively. The index track is magnetized based on the improved gray code, with linear halls placed around the track evenly. The outputs of linear halls show the region the rotor belongs to. The sub-division track is magnetized to N-S-N-S (north-south-north-south), and the number of N-S pole pairs is determined by the index track. Three linear hall sensors with an air-gap of 2 mm are used to translate the magnetic filed to voltage signals. The relative offset in a single N-S is obtained through look-up. The magnetic encoder is calibrated using a higher-resolution incremental optical encoder. The pulse output from the optical encoder and hall signals from the magnetic encoder are sampled at the same time and transmitted to a computer, and the relation between them is calculated, and stored in the FLASH of MCU (micro controller unit) for look-up. In the working state, the absolute angle is derived by looking-up with hall signals. The structure is simple and the manufacturing cost is very low and suitable for mass production.

Maximum two-dimensional (u×v,4,1,3)-OOCs

Let Ф（u ×v, k, Aa, Ac） be the largest possible number of codewords among all two- dimensional （u ×v, k, λa, λc） optical orthogonal codes. A 2-D （u× v, k, λa, λ）-OOC with Ф（u× v, k, λa, λc） codewords is said to be maximum. In this paper, the number of codewords of a maximum 2-D （u × v, 4, 1, 3）-OOC has been determined.

Dynamic airspace sectorization via improved genetic algorithm

This paper deals with dynamic airspace sectorization （DAS） problem by an improved genetic algorithm （iGA）. A graph model is first constructed that represents the airspace static structure. Then the DAS problem is formulated as a graph-partitioning problem to balance the sector workload under the premise of ensuring safety. In the iGA, multiple populations and hybrid coding are applied to determine the optimal sector number and airspace sectorization. The sector constraints are well satisfied by the improved genetic operators and protect zones. This method is validated by being applied to the airspace of North China in terms of three indexes, which are sector balancing index, coordination workload index and sector average flight time index. The improvement is obvious, as the sector balancing index is reduced by 16.5 %, the coordination workload index is reduced by 11.2 %, and the sector average flight time index is increased by 11.4 % during the peak-hour traffic.

Improvement of Coding for Solar Radiation Forecasting in Dili Timor Leste—A WRF Case Study

This paper investigates the accuracy of weather research and forecasting by improving coding for solar radiation forecasting for location in Dili Timor Leste. Weather Research and Forecasting (WRF) model version 3.9.1 is used in this study for improvement purposes. The shortwave coding of WRF is used to improve in order to decrease error simulation. The importance of improving WRF coding at a specific region will reduce the bias and root mean square root when comparing to the observed data. This study uses high resolution based on the WRF modeling to stabilize the performance of forecasting. The decrease in error performance will be expected to enhance the value of renewable energy. The results show the root mean square error of the WRF default is 233 W/m2 higher compared to 205 W/m2 from the WRF improvement model. In addition, the Mean Bias Error (MBE) of the WRF default is obtained value 0.06 higher than 0.03 from the WRF improvement in rainy days. Meanwhile, on sunny days, the performance Root Mean Square Error (RMSE) of WRF default is 327 W/m2 higher than 223 W/m2 from the WRF improvement. The MBE of WRF improvement obtained 0.13 lower compared to 0.21 of WRF default coding. Finally, this study concludes that improving the shortwave code under the WRF model can decrease the error performance of the WRF simulation for local weather forecasting.

Improving the Quality of Conforming Triangular Meshes by Topological Clean up and DSI

A new method as a post-processing step is presented to improve the shape quality of triangular meshes, which uses a topological clean up procedure and discrete smoothing interpolate (DSI) algorithm together. This method can improve the angle distribution of mesh element. while keeping the resulting meshes conform to the predefined constraints which are inputted as a PSLG.

A Compression Algorithm of Hyperspectral Remote Sensing Image Based on 3-D Wavelet-Fractal Coder

In this paper, the 3-D Wavelet-Fractal coder was used to compress the hyperspectral remote sensing image, which is a combination of 3-D improved set partitioning in hierarchical trees （SPIHT） coding and 3-D fractal coding. Hyperspectral image date cube was first translated by 3-D wavelet and the 3-D fractal compression ceding was applied to lowest frequency subband. The remaining coefficients of higher frequency sub-bands were encoding by 3-D improved SPIHT. We used the block set instead of the hierarchical trees to enhance SPIHT＇s flexibility. The classical eight kinds of affme transformations in 2-D fractal image compression were generalized to nineteen for the 3-D fractal image compression. The new compression method had been tested on MATLAB. The experiment results indicate that we can gain high compression ratios and the information loss is acceptable.

AN IMPROVED EFFICIENT SEMI-IMPLICIT FINITE ELEMENT SCHEME FOR TWO-DIMENSIONAL TIDAL FLOW COMPUTATIONS

In a recent paper, an efficient semi-implicit finite element scheme for 2-dimensional tidal flow computations is proposed. In that scheme, each term of the governing equations, rather than each dependent variable, is ex- panded in terms of the unknown nodal values. Simpson's rule ix used for numerical integration to make the mass matrix diagonal. The friction terms are represented semi-implicitly to improve stability, but no additional compu- tational effort is required. The shortcomings of this scheme are that the time-stepping scheme is only first-order ae- curate and artificial smoothing is required to control the numerical noise. In this paper, the previous scheme is im- proved by including the eddy viscosity terms in the governing equations to replace artificial smoothing in noise con- trol and the time-stepping scheme is modified to make it second-order accurate. These improvements can be achieved with only a slight increase in computational effort. The test cases used previously to validate the former scheme are again employed to test the present scheme.

Emergence of Plastidial Intergenic Spacers as Suitable DNA Barcodes for Arid Medicinal Plant <i>Rhazya stricta</i>

The desert plant Rhazya stricta has anticancer and antimicrobial properties, and is widely used in indigenous medicines of Saudi Arabia. However, the therapeutic benefits rely on an accurate identification of this species. The authenticity of R. stricta and other medicinal plants and herbs procured from local markets can be questionable due to a lack of clear phenotypic traits. DNA barcoding is an emerging technology for rapid and accurate species identification. In this study, six candidate chloroplastid barcodes were investigated for the authentication of R. stricta. We compared the DNA sequences from fifty locally collected and five market samples of R. stricta with database sequences of R. stricta and seven closely related species. We found that the coding regions matK, rbcL, rpoB, and rpoC1 were highly similar among the taxa. By contrast, the intergenic spacers psbK-psbI and atpF-atpH were variable loci distinct for the medicinal plant R. stricta. psbK-psbI clearly discriminated R. stricta samples as an efficient single locus marker, whereas a two-locus marker combination comprising psbK-psbI + atpF-atpH was also promising according to results from the Basic Local Alignment Search Tool and a maximum likelihood gene tree generated using PHyML. Two-dimensional DNA barcodes (i.e., QR codes) for the psbK-psbI and psbK-psbI + atpF-atpH regions were created for the validation of fresh or dried R. stricta samples.

Research on Recognition Technology of 2-Dimensional Barcode

This paper briefly introduces the characteristics and structure of symbol QR two-dimensional code, a detailed analysis of the image processing method to identify QR code of the whole process, and the bilinear mapping method is applied to image correction, the final steps of decoding are given. The actual test results show that, the design algorithm has theoretical and practical, this recognition system can correctly read QR code, and has high recognition rate and recognition speed, has practical value and application prospect.

某三甲综合医院3316份住院病案首页主要诊断编码质量分析

目的分析厦门市某三甲综合医院2023年1—12月住院病案首页主要诊断编码质量,分析编码错误原因,提出有效的改进建议,以期提高医院住院病案首页主要诊断编码质量。方法采用分层抽样选取厦门市某三甲综合医院2023年1—12月住院病案3316份,由科室9名编码员对抽取的病案首页进行交叉互查,登记编码错误类型,分析编码错误原因。结果主要诊断编码错误353份,主诊编码错误率为10.65%。对错误类型归类:未认真分析病历资料占比48.44%,未掌握主要诊断编码原则占比27.48%,临床知识不足占比14.16%,系统获取错误占比9.92%。结论注重病案编码专业人才队伍的建设,培养编码员的工作能力,推进病案管理系统改进和优化,有利于持续优化病案首页主要诊断编码质量。

基于改进遗传算法的协同航迹规划方法

针对多无人机协同规划问题求解规模大、效率低的问题,提出了一种单-双亲遗传算法(PBGA)求解模型。该算法具有改进的编码方法和一种单双亲结合的进化策略,由单亲遗传算子进行种群进化,由双亲遗传算子跳出局部最优。仿真结果显示,PBGA具有收敛性,在小规模和大规模寻优算例中分别比传统遗传算法减少了70%和64%的收敛代数,对解决多无人机协同问题具有一定的参考价值。

基于改进准循环码的FPGA抗辐射容错方法

针对SRAM型FPGA在辐射环境中易受高能粒子影响发生单粒子多位翻转的问题,提出一种基于改进位交织技术的(16,8)准循环码抗单粒子多位翻转容错方法。在分析FPGA的典型多位翻转错误图样的基础上,采用软容错中的错误检测与纠正思想将传统的(16,8)准循环码和改进位交织技术相结合来提高编解码的软容错能力。仿真和硬件平台试验表明,该方法可以实现对FPGA中由于单粒子效应所导致的至多五位突发错误的纠正和两位随机错误的检测,同时具有编解码不额外增加冗余位、实现简单和容错能力强的特点,为增强SRAM型FPGA在应用过程中的抗单粒子翻转能力、提高相关系统的辐照可靠性提供了可行途径。

基于改进神经网络的船舶航行速度估计数学模型

船舶航行速度直接影响船舶航行安全与路径规划效果,为此建立基于改进神经网络的船舶航行速度估计数学模型,提升船舶航行速度估计效果。利用位置编码机制,编码处理风速与波高等船舶航向速度相关数据;在编解码卷积神经网络内,引入自注意力机制,得到改进编解码卷积神经网络;利用编码后的船舶航速训练数据,训练改进神经网络,建立船舶航行速度估计数学模型;在该模型内,输入编码后的船舶航速测试数据,通过自注意力机制,提取船舶航速数据特征,并结合自注意力蒸馏剔除冗余特征;通过全连接层处理船舶航速数据特征,输出船舶航行速度估计结果。实验证明,该模型可有效提取船舶航速数据特征;该模型可精准估计船舶航行速度;在不同浪向下,该模型船舶航行速度估计的决定系数均较高,即估计精度较高。

UAT2数据链发射机编码及调制技术

为应对低空空域飞行器数量的增加及航空产业对未来城市空中交通(UAM)飞行器的监视跟踪需求,文章对UAT2数据链发射机的编码与调制技术进行研究:搭建UAT2数据链发射机系统结构,针对UAM飞行器监视需求,提出可寻址数据上行链路通信编码及飞行器健康状况监测下行链路编码规则算法,旨在全面覆盖UAM的安全运行需求;开发一种UAT2报文的轻量高速化RS编码算法,以减少执行时间和内存占用;基于直接数字频率合成DDS技术,实现连续相位频移键控CPFSK调制,符合UAT2数据链信号要求,确保了频谱能量的集中分布。关键编码和调制技术经过测试分析与性能评估,能够有效适用于UAT2数据链发射机。

民法典中意定监护制度对中国传统家庭结构的影响及其完善策略

《中华人民共和国民法典》引入的意定监护制度充分考虑到被监护人的实际需求和个体差异,拓宽了监护人的选择范围,标志着我国监护制度在法律层面的进一步开放。同时,对我国传统家庭结构产生了重要影响,引发了对传统观念的挑战、亲属关系的重新审视、权利意识的觉醒和社会关系的重构。在具体实施过程中,面临信息不对称和引发争议等难题。为此,建议从加强宣传教育、制定详细实施办法和建立有效争议解决机制等方面加以完善,以促进意定监护制度更好地适应社会发展需要。

非编码遗传资源在作物重要农艺性状调控中的研究进展

在传统作物遗传研究中,蛋白质编码基因一直是研究的焦点。然而,近年来的科学进展揭示了非编码遗传资源在调控作物产量、品质和抗性等重要农艺性状中的关键作用。这些非编码遗传资源包括调控性非编码RNA、组成性非编码RNA、基因非编码区序列、核酸适配体以及由非编码序列衍生的小肽,它们在基因表达调控、细胞代谢、基因组稳定性以及生物技术应用中发挥着至关重要的作用。高通量测序技术、生物信息学和功能基因组学的快速发展,为非编码遗传资源的系统发掘和功能研究提供了技术支撑。在作物育种领域,非编码遗传资源的精准调控特性为提升农艺性状提供了全新手段,突破了传统编码基因研究的局限性。相关研究不仅揭示了非编码序列在作物复杂性状调控中的多样化功能与精细调控机制,也展现出巨大的应用潜力。该文综合评述非编码遗传资源在作物农艺性状调控中的研究进展,系统梳理这些非编码元件的分类、起源与演化背景,详细讨论其在调控作物重要农艺性状中的作用机制和调控网络,最后探讨非编码遗传资源在作物育种中的应用潜力,并对其在未来遗传改良中的发展方向提出展望。通过系统地总结现有研究成果,可为未来研究提供坚实的理论基础,并促进非编码遗传资源在作物遗传改良中的创新应用。

Kafka节点认证的电力用户信息联盟链管理技术研究

为了保障电力用户信息的安全和隐私,提出一种基于联盟区块链技术的电力用户信息管理系统,利用联盟链去中心化、不可篡改等特点保证信息安全。同时,为了提高系统运行效率,采用Kafka作为共识机制,并且使用改进2FA双因子认证技术来保证登入节点的合法性,进一步增强对电力用户信息的保护。系统通过链码和前端的设计,可以实现对用户信息的查询和修改。从不可篡改性、隐私性和抗攻击性三方面论证了系统的安全性,通过测试证明了系统的可用性和高效性。