Single bitmap block truncation coding of color images using hill climbing algorithm

In order to generate an efficient common bitmap in single bitmap block truncation coding(SBBTC)of color images,an improved SBBTC scheme based on weighted plane(W-plane)method and hill climbing algorithm is proposed.Firstly,the incoming color image is partitioned into non-overlapping blocks and each block is encoded using the W-plane method to get an initial common bitmap and quantization values.Then,the hill climbing algorithm is applied to optimize an initial common bitmap and generate a near-optimized common bitmap.Finally,the quantization values are recalculated by the near-optimized common bitmap and the considered color image is reconstructed block by block through the common bitmap and the new quantization values.Since the processing of each image block in SBBTC is independent and identical,parallel computing is applied to reduce the time consumption of this scheme.The simulation results show that the proposed scheme has better visual quality and time consumption than those of the reference SBBTC schemes.

Trial mountain climbing algorithm for solving the inverse kinematics of redundant manipulator

Trial mountain climbing algorithm to solve the inverse kinematics problem of redundant manipulator is introduced, and a method of describing a numeral with a special numeration system is given to define the changed step of the trail mountain climbing algorithm. The results show that a likelihood solution can be found quickly in the infinite groups of likelihood solutions within the limited search times, and need not calculate the anti trigonometric function and the inverse matrix. In addition, this algorithm has many good qualities such as concise algorithm, tiny computation, fast convergence velocity, good stability and extensive adaptability.

Efficient Clustering Using Memetic Adaptive Hill Climbing Algorithm in WSN

Wireless Sensor Networks are composed of autonomous sensing devices which are interconnected to form a closed network.This closed network is intended to share sensitive location-centric information from a source node to the base station through efficient routing mechanisms.The efficiency of the sensor node is energy bounded,acts as a concentrated area for most researchers to offer a solution for the early draining power of sensors.Network management plays a significant role in wireless sensor networks,which was obsessed with the factors like the reliability of the network,resource management,energy-efficient routing,and scalability of services.The topology of the wireless sensor networks acts dri-ven factor for network efficiency which can be effectively maintained by perform-ing the clustering process effectively.More solutions and clustering algorithms have been offered by various researchers,but the concern of reduced efficiency in the routing process and network management still exists.This research paper offers a hybrid algorithm composed of a memetic algorithm which is an enhanced version of a genetic algorithm integrated with the adaptive hill-climbing algorithm for performing energy-efficient clustering process in the wireless sensor networks.The memetic algorithm employs a local searching methodology to mitigate the premature convergence,while the adaptive hill-climbing algorithm is a local search algorithm that persistently migrates towards the increased elevation to determine the peak of the mountain(i.e.,)best cluster head in the wireless sensor networks.The proposed hybrid algorithm is compared with the state of art clus-tering algorithm to prove that the proposed algorithm outperforms in terms of a network life-time,energy consumption,throughput,etc.

A multi-scale algorithm for dislocation creep at elevated temperatures

Dislocation creep at elevated temperatures plays an important role for plastic deformation in crystalline metals.When using traditional discrete dislocation dynamics(DDD)to capture this process,we often need to update the forces on N dislocations involving~N 2 interactions.In this letter,we introduce a multi-scale algorithm to speed up the calculations by dividing a sample of interest into sub-domain grids:dislocations within a characteristic area interact following the conventional way,but their interaction with dislocations in other grids are simplified by lumping all dislocations in another grid as a super one.Such a multi-scale algorithm lowers the computational load to~N 1.5.We employed this algorithm to model dislocation creep in Al-Mg alloy.The simulation leads to a power-law creep rate in consistent with experimental observations.The stress exponent of the power-law creep is a resultant of dislocations climb for~5 and viscous dislocations glide for~3.

Hybrid partheno-genetic algorithm and its application in flow-shop problem

In order to solve the constraint satisfied problem in the genetic algorithm, the partheno-genetic algorithm is designed. And then the schema theorem of the partheno-genetic algorithm is proposed to show that the high rank schemas at the subsequent generation decrease exponentially even though its fitness is more optimal than the average one in the population and the low rank schemas at the subsequent generation increase exponentially when its fitness is more optimal than the average one in the population. In order to overcome the shortcoming that the optimal high rank schema can be deserted arbitrarily, the HGA (hybrid partheno-genetic algorithm) is proposed, that is, the hill-climbing algorithm is integrated to search for a better individual. Finally, the results of the simulation for facility layout problem and no-wait schedule problem are given. It is shown that the hybrid partheno- genetic algorithm is of high efficiency.

ACHIEVEMENTS SCORED IN CLIMBING PROGRAM

The National Basic Research Priorities Program (the so-called Climbing Program), a combination of guidance and mandatory, is a major component of the country’s efforts in basic research during the Eighth Five-Year Plan period (1991-1995). Its objectives are to foster qualified personnel and improve the quality and ability of research workers; to consolidate the academic position of the science community in major areas of basic research and emerging branches of science and technology, keep-

基于权值的新能源集控电量均衡CSMA/CA改进算法

针对新能源集控任务下发过程中,单个节点电量消耗较大,直接影响电量均衡的问题,提出一种基于权值的新能源集控电量均衡CSMA/CA改进算法。建立电池等效模型,通过计算健康系数推导新能源集控节点当前电量。计算各个电池当前电量与预期之间的差值,当60%以上节点的差值大于设定的阈值,认为电量存在不均衡的问题。利用熵权法与CSMA/CA算法计算三个关键变量的权值,即NB、CW和BE,并赋权,实现CSMA/CA算法改进,以此动态调控任务,实现新能源集控电量均衡消耗。结果表明:利用权值改进后,电量均衡度平均值明显更高。这种方法为促进电量均衡提供新思路。

YOLOv5-CCE:一种基于CA和EIoU的目标检测算法

为了减少YOLOv5模型在复杂环境下的误检率和漏检率,提出一种基于CA(Coordinate Attention)和EIoU(Efficient Intersection over Union)的目标检测模型YOLOv5-CCE。首先向Neck网络中的部分C3_2模块中嵌入坐标注意力机制CA,增强模型对特征的提取能力;其次为提高回归精度,提出一种基于Focal EIoU Loss改进的Focal CEIoU Loss。实验结果表明,在PASCAL VOC 2007+2012数据集上,YOLOv5-CCE模型在参数量和计算量基本保持不变的情况下,相较于原模型mAP@0.5、mAP@0.5:0.95和准确率分别提升了1.4%、1.3%和3.7%,因此,YOLOv5-CCE模型可以更好地适应复杂环境下的目标检测任务。

一种基于CAL-YOLO的海上航空搜救目标检测算法

针对在海上复杂环境搜救任务下,目标尺寸小,且搜救飞机在不同高度和视角下观测到的搜救目标特征各异或存在遮挡等因素造成搜救目标漏检、误检的问题,提出了一种基于CAL-YOLO的海上航空搜救目标检测算法.该算法基于YOLOv8s开源框架改进,引入坐标注意力机制和小目标检测层,以优化海上航空搜救目标检测性能,从而提高海上航空搜救工作效率.实验结果表明,该算法在mAP50的评价指标上提高了11.8%,在mAP50:95评价指标上提高了8.8%.

CA模型下的改进D*路径规划算法

为保证室内机器人以低成本在一条无碰有效的路径上移动,提出了基于CA模型的改进D*路径规划算法。结合元胞自动机理论,引入扩展Moore型邻居结构,降低机器人角度变化的最小增量,并为障碍物周围元胞设置碰撞系数,离障碍物越近的元胞被选中的概率越低。采用多个地图针对不同情况进行仿真实验。实验结果表明,在一般环境下,该算法与D*算法相比,转角数目减少36.36%,算法运行时间缩短31.25%,且规划出的路径与障碍物保持安全距离,同时避免了路径穿越障碍物,具有很高的可行性。

健康女性血清HE4和CA125水平及ROMA值的调查

目的评估健康女性血清HE4,CA125水平及ROMA值,建立相应的95%可信区间。方法利用电化学发光免疫测定法检测健康女性血清HE4和CA125的水平,计算HE4/CA125、ROMA值以及HE4、CA125、HE4/CA125和ROMA的95%可信区间,同时分析其在不同年龄组、不同绝经状态下的分布规律。结果健康女性血清HE4和CA125及HE4/CA125和RO-MA的95%可信区间分别为HE4≤82.62pmol/L,CA125≤30.91U/mL,HE4/CA125≤6.49,ROMA≤19.27。健康女性血清HE4水平在60岁以上年龄组高于其他年龄组;50岁以上的健康女性血清CA125水平明显低于50岁及以下的健康女性;而HE4/CA125在50岁以上的健康女性中明显高于50岁以下的;健康女性>50～60岁年龄段的ROMA值低于60岁以上年龄段,而明显高于50岁以下年龄段(P<0.05)。绝经后健康女性血清HE4水平以及HE4/CA125、ROMA值高于绝经前健康女性,而CA125的水平绝经后低于绝经前(P<0.05)。HE4/CA125与ROMA在绝经前健康女性组成正相关,而在绝经后组成负相关。结论本研究可为评估中国健康女性HE4、CA125、ROMA水平及建立相应的参考区间提供一个参考。

基于CAS系统的网络数据库安全模型

近年来内部管理人员泄露网络数据库信息事件频出,现有的网络数据库已无法满足当今网络环境安全性的需求,人们亟需一种更安全的新型网络数据库。分析网络数据库安全威胁,设计一种基于CAS系统的网络数据库安全模型。在此基础上设计一种Logistic-Henon混沌加密算法,并从复杂度、密钥空间、初值敏感性三个方面对该算法进行仿真实验分析。该系统一方面提高了CAS系统中票据使用和数据传输的安全性,另一方面避免内部人员直接接触敏感数据和密钥,进而提高了网络数据库安全性。

基于国密算法与移动CA的移动办公平台数据安全体系研究

随着互联网技术和智能移动终端的快速发展,互联网+移动应用迅速普及。结合国密算法和移动CA,对移动办公平台数据安全体系进行了研究,构建了基于国密算法与移动CA的移动办公平台数据安全体系,实现了安全便捷的数据加密传输、双向身份认证及数据关联身份,并应用到内蒙古烟草“蒙烟通”移动办公平台,充分保障了数据安全。

无线传感器网络中基于贝叶斯可变频的CSMA/CA算法研究

针对于在无线传感器网络中多个节点向Sink节点发送数据包造成的延时、丢包、碰撞检测、网络阻塞等问题,在802.15.4协议CSMA/CA算法的基础上提出了一种基于贝叶斯可变频的CSMA/CA算法(BVF-CSMA/CA)。该算法将贝叶斯估值得到的参数区间与CSMA/CA的碰撞检测机制相结合,使传感器节点发送的多数据包能正常与Sink节点实时通讯,采用这种算法减少了碰撞检测、节约了能耗、降低了网络通讯量、延长了网络的生命周期。本文通过使用NS2仿真工具模拟验证了该无线传感器网络的丢包率和能耗,实验结果表明,改进后的算法显著改善了这两个性能指标。

盐胁迫下外源Ca^(2+)添加对藤本月季光合及氮代谢相关酶活性的调控

以藤本月季“大游行”为试材,采用土壤喷施0、200 mmol·L^(-1)盐溶液的处理方法,探究不同浓度外源Ca^(2+)(0、5、10、20 mmol·L^(-1))对藤本月季光合以及氮代谢相关酶活性的影响,以期为外源Ca^(2+)缓解盐胁迫对藤本月季的伤害提供参考依据。结果表明:一定浓度外源Ca^(2+)能够增加藤本月季株高生长量、叶面积和地上生物量,促进光合作用,提高叶片中光合色素含量以及氮代谢相关酶活性来增强植物抗性。在200 mmol·L^(-1)盐处理下,与0 mmol·L^(-1)Ca^(2+)处理浓度相比,添加10 mmol·L^(-1)Ca^(2+)浓度处理下藤本月季的叶绿素a、叶绿素b、总叶绿素(a+b)以及叶黄素含量分别增加了143.9%、152.5%、151.9%和90.6%;光合参数中水分利用效率(WUE)、净光合速率(P_(n))、蒸腾速率(T_(r))、胞间CO_(2)浓度(C_(i))和气孔导度(G_(s))分别增加96.6%、60.5%、353.3%、43.0%和80.6%,气孔限制值(Ls)降低63.8%,PSⅡ最大光化学效率(F_(v)/F_(m))和PSⅡ潜在活性(F_(v)/F_(o))显著增加;此外,盐胁迫下,藤本月季叶片中硝态氮含量下降,铵态氮含量增加,一定浓度外源Ca^(2+)处理能显著增加硝酸还原酶(NR)、谷氨酰胺合成酶(GS)以及异柠檬酸脱氢酶(NADP-ICDH)活性,而降低谷氨酸脱氢酶(NADH-GDH)活性。综上可知,添加一定量的Ca^(2+)能增加藤本月季光合色素和硝态氮含量,促进氮代谢过程中相关酶活性增加,提高植物光合作用,进一步促进植物生长来抵御盐胁迫,其中以添加10 mmol·L^(-1)Ca^(2+)处理效果最好。

IEEE802.15.4时隙CSMA/CA算法性能研究

对IEEE802.15.4标准和时隙CSMA/CA算法进行了简单介绍,基于OPNET仿真软件,针对节点个数、工作周期(占空比)等参数对时隙CSMA/CA算法性能的影响,进行了不同网络环境的仿真实验。分别在固定节点个数和固定占空比条件下,仿真并分析了介质接入时延与吞吐量及网络能耗之间的关系。仿真结果表明,较多的节点个数和较小的工作周期会增大介质接入时延,降低网络吞吐量。

基于校园卡CA验证签名的设计与实现

身份认证作为网上安全通信的重要手段 ,日益受到人们的青睐 ,而 CA作为可信任的第三方 ,在身份证方面起到关键的作用。本文针对校园卡的具体情况 ,提出了一种基于校园卡 CA在身份认证 ,即验证签名方面的应用 。

基于CA算法的轧制工艺动态再结晶过程模拟

为研究低碳钢轧制变形过程的组织演化,建立了一套奥氏体动态再结晶模型。利用CA算法,基于Deform研究了热轧过程中的再结晶比率和晶粒尺寸的变化。结合变形条件对模型系数的影响,将模型计算所得的组织演变、再结晶体积分数、晶粒尺寸与实验进行了比较,证明了模型的有效性。

基于CA算法-热力学函数耦合的纳米铸造材料晶粒长大仿真分析

以纳米材料晶粒为研究对象,在纳米晶热力学函数中引入了CA算法构建了耦合模型,利用计算机仿真系统对新型铸造材料金属Co纳米晶粒的长大过程进行模拟,确定了纳米晶组织热力学性质对材料动力学特征的影响。对新型纳米铸造材料的微观晶粒长大控制研究提供了科学参考。

密钥分存在建设数字水印CA(认证中心)中的应用

提出了密钥分存在建设数字水印CA中应用的一种方案,该方案使用密钥分存技术把大部分水印信息转移到了CA中心数据库,从而解决了在应用数字水印技术的过程中,水印信息量过大带来的诸多问题。