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福州大學學報（自然科學版）

福州大學學報（自然科學版）

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Journal of Fuzhou University(Natural Science Edition)
本刊主要刊載數學、物理、電氣、信息科學與技術、自動控制、機械、材料、土木建筑、化學化工、生物、輕工、資源、環保等學科的最新研究成果。目前，《福州大學學報（自然科學版）》在國外被《化學文摘》（CA）、《數學評論》（MR）所收錄；在國內，除了被《中國科學引文數據庫》、《中國學術期刊綜合評價數據庫》、《中國科技論文統計與分析》作為來源期刊，還被《中國數學文摘》、《中國物理文摘》、《中國力學文摘》、《中國化學化工文摘》、《中國無線電子學文摘》、《分析化學文摘》等重要文獻系統所收錄與轉引。學報在歷次有關優秀期刊評比活動中多次獲獎。
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  • 國內刊號/CN：35-1117/N
    國際刊號/ISSN：1000-2243
  • 發行周期：雙月刊
    郵發代號：34-27
  • 主管單位：福州大學
    主辦單位：福州大學
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福州大學學報（自然科學版） >2021年第6期

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  • 摘要：對11根鋼筋超高性能混凝土梁在兩點對稱加載作用下進行抗剪性能試驗,試驗參數為鋼纖維摻量、剪跨比、縱筋配筋率、配箍率等.試驗結果表明,4個參數中鋼纖維摻量對梁的抗剪承載力影響最大,其次為剪跨比和縱筋率,配箍率影響最小;鋼纖維摻量的增加顯著提高了梁的抗剪承載力與抗變形能力,影響梁的破壞形態.根據試驗結果與收集到的UHPC梁受剪資料,對基于桁架-拱理論的UHPC梁抗剪計算公式進行了修正.
  • 摘要：為選擇更適用的太陽輻射計算模型進行橋梁截面積溫度場分析,對國內外不同的太陽輻射計算模型進行歸納總結,主要包括橋梁截面溫度場分析中必備的太陽總輻射、太陽直接輻射和太陽散射輻射.對比分析不同數值計算模型之間的異同點及其適用范圍.分析發現基于日照時數的日太陽總輻射經驗模型(A)ngstr(o)m-Page模型應用最多,其線性表達式的計算量小且滿足精度要求;日太陽總輻射可采用Collares-Pereira and Rabl模型換算為逐時太陽總輻射;逐時太陽直接輻射和逐時太陽散射輻射可分別采用Hottel模型和Liu and Jordan模型進行計算.所總結的逐時太陽輻射計算模型可作為邊界條件開展橋梁截面溫度場分析.
  • 摘要：利用提拉法生長Nd∶La0.02Lu0.98VO4單晶.經測試,晶體的晶胞參數a=b=0.7037 nm,c=0.6242 nm;a向和c向的熱膨脹系數分別為αa=4.3×10-6K-1和αc=11.6×10-6K-1.室溫下測試偏振吸收和熒光光譜,結果顯示:晶體在809 nm處有較大的吸收線寬5.00 am(σ)和6.15 nm(π),較大的吸收截面4.70× 10-20 cm2(σ)和10.47× 10-20 cm2(π).在1 065 nm處有強熒光發射峰,半峰寬分別為2.27 nm(σ)和1.82 nm(π),受激發射截面σ,分別為6.5× 10-19 cm2(σ)和13.8×10-19 cm2(π),熒光壽命為102.5 μs.利用未鍍膜的晶片進行初步激光實驗,獲得1 065 nm連續和調Q激光輸出.在最高泵浦功率20W時,獲得最高4.95W的連續輸出,光-光轉換效率為24.8％,斜效率27.9％;在脈沖重復頻率為5 kHz時,得到最高的峰值功率為61.99 kW.結果表明,Nd∶La0.02Lu0.98VO4晶體可能成為新的脈沖激光晶體.
  • 摘要：采用高效液相色譜分別考察了腸道菌群模式菌株及各單菌的色譜行為,成功建立了HPLC分離分析腸道菌群模式菌株的最佳洗脫方法,即階梯式梯度洗脫.結果顯示,腸道模式混合菌株經過高效液相色譜分離得到5個明顯的洗脫組分,分別為0.10 mol·L-1(脆弱擬桿菌和金黃色葡萄球菌)、0.20 mol·L-1(青春雙歧桿菌和鼠李糖乳桿菌)、0.25 mol·L-1(糞腸球菌)、0.30 mol.L-1(奇異變形桿菌、克雷伯肺炎桿菌和產氣莢膜梭菌)和0.50 mol·L-1(大腸桿菌和產氣莢膜梭菌)洗脫峰.色譜柱的上樣濃度為培養菌液(OD600=0.576)的5倍時,其最大上樣量為500 μL,且方法分辨率高、重現性好、結果穩定.
  • 摘要：提出一種利用WiFi信號指紋實現對室內區域進行定位的CL-KNN(complete linkage K-nearest neighbor)算法.該算法先采用層次聚類方法對測試環境進行區域劃分,再根據相應的WiFi信號指紋信息進行匹配,最后通過加權計算確定定位結果.實驗結果表明,在WiFi熱點數量足夠多的情況下,與原始KNN算法和k-means-KNN算法相比,CL-KNN算法可以獲得更高的定位精度和準確率.%This paper presents a kind of using WiFi signal fingerprint to locate the interior regions of CL-KNN (complete linkage K-nearest neighbor) algorithm.The algorithm first performs hierarchical clustering method to divide a test environment to several regions,and according to the WiFi signal fingerprint information corresponding to match,finally the location results determined by weighted calculation.The experimental results show that,under the condition of the WiFi access points quantity enough,compared with the original KNN algorithm and k-means-KNN algorithm,CL-KNN algorithm can obtain higher positioning precision and accuracy.
  • 摘要：在構造仿射矩陣時,滿足稀疏性就會降低其分組效應,反之,又不利于數據的選擇.針對這些問題,提出投影相關自適應子空間分割方法.通過引入跡lasso,自適應地根據樣本數據的相關性構造仿射矩陣,同時提取出有利于類別識別的特征.在6個基因表達數據上的實驗結果表明,該方法優于現有子空間分割方法.%As constructing the affine matrix,satisfying data sparsity will reduce its group effect,on the contrary,it does not help to select data.To solve these problems,we propose projection correlation adaptive subspace segmentation (PCASS).Trace lasso can determine affine matrix adaptively by the correlation of the sample data,and can extract features those are useful to discriminate types as well.Experimental results on six gene expression data show that this method is superior to the other existing subspace segmentation.
  • 摘要：We propose a new content delivery network (CDN) architecture based on software defined networking(SDN).It improves the interfaces of the OpenFlow controller.With the help of scalable video coding(SVC) on the base layer,the video can be transmitted in a lossless-QoS way,while the enhancement layers routed in a best effort way.Through multiple scenarios simulation experiments,the architecture proposed in the paper can effectively improve the video's overall PSNR and good video transmission service quality under network congestion.%提出一種基于軟件定義網絡(SDN)的內容分發網絡(CDN)體系架構,通過改進OpenFlow的控制器接口,借助可伸縮視頻編碼的基礎層實現無損傳輸,加強層為增強視頻提供盡力而為的傳輸.通過多種情景的模擬實驗,該體系架構在網絡擁塞的情況下,能有效提高峰值信噪比,提供良好的視頻傳輸服務質量.
  • 摘要：提出一種自適應優化特征點檢測的三維重建方法.該優化方法以Harris算子作為基礎,將Harris算子的響應矩陣分塊處理,分塊選取響應值.通過比較塊中最大響應值與全局響應均值的大小,分情況選擇特征點.解決了Harris算子的閾值設置問題,減少了特征點的集群現象,改善了重建結果容易出現空洞的問題,也間接提高了重建速度.實驗結果驗證了該方法的有效性.%This paper presents an adaptive 3D reconstruction algorithm based on an improved feature point detection method.The optimization method is based on the Harris operator as the basis.In this article,we firstly separate the Harris operator's response matrix into blocks.Then we compare the maximum response value in each block with the mean response value of the response matrix.Finally,we select the feature points in different situations.In this way,we solve the problem of how to set the appropriate threshold.The cluster phenomenon of feature points is relieved.And there are fewer holes in the results of the 3D reconstruction.The time of the reconstruction is also saved.The experiment results indicate that our method is effective.
  • 摘要：According to interrupt risk of the supply and demand risk of the market,as well as the procurement discount problem involved in the procurement of enterprises,the quantity flexibility contract is introduced to investigate the risk cost and procurement cost of the enterprises in the selection of suppliers number and the relation between the number of suppliers and the total cost of the enterprise constructed by transaction cost,risk cost and procurement cost is analysis.Based on these,the model of suppliers number optimization considering purchase discount under quantity flexible contract is built,and the validity of quantity flexibility contract applied to the optimal number of suppliers is analyzed.Finally,the validity of quantity flexibility contract is verified through the numerical example,and the sensitivity of optimal number of suppliers to the elastic coefficient and discount coefficient is discussed.%針對企業所面臨的供應中斷風險和市場需求風險,以及考慮企業采購中涉及的采購折扣問題,通過引入數量彈性契約,以考察企業在選擇供應商數量時的風險成本和采購成本,并分析了由交易成本、風險成本、采購成本構成的企業總成本與供應商數量的關系.在此基礎上,建立數量彈性契約下考慮采購折扣的供應商數量優化模型,并對數量彈性契約應用于供應商數量優化問題時的可行性進行證明.最后,通過算例驗證了其有效性,并探討了彈性系數和折扣系數對最優供應商數量的影響.
  • 摘要：This paper proposes a novel image saliency detection method dealing with JPEG images,which directly extracts 3 image low-level features (intensity,texture and color) from JPEG DCT blocks and then evaluates image saliency by calculating the shortest path from each internal point to the background.We compare our method with some state-of-the-art methods on the publicly available datasets MSRA-1000.Experimental results show that our method exhibits better performance in terms of four evaluations than some state-of-the-art methods.The final saliency maps indicate that our method can also produce satisfied saliency maps directly in compressed domain.%提出一種新穎的基于最短路徑的JPEG圖像顯著性檢測算法.算法在JPEG圖像的DCT系數塊中直接提取出灰度、紋理和顏色3種低層次圖像特征;然后,通過計算其內部塊到達圖像邊界的最短路徑來得到最終顯著性值;最后,在公開測試集MSRA-1000上與多種圖像顯著性檢測算法進行對比.實驗結果顯示,方法在4種不同的評測標準上都優于對照算法,并且能夠快速、高效地產生令人滿意的顯著性圖.
  • 摘要：在極限學習機預測多變量時間序列研究中,針對以往將矩陣轉換成向量作為模型輸入,從而影響預測精度的問題,結合奇異值分解思想,提出一種直接以矩陣作為輸入的多變量時間序列極限學習機預測型SVDELM.由Rossler、Chen's、Lorentz和股票多變量時間序列的實驗結果表明,SVDELM是一種有效的多變量時間序列預測模型.%In multivariate time series prediction based on extreme learning machine (ELM),the prediction precision will be reduced due to convert matrix to vector.In this paper,based on singular value decomposition and extreme learning machine,a multivariate time series prediction model(SVDELM) is proposed to suit for the matrix input.Simulation results on Rossler,Chen's,Lorentz and stock multivariate time series show that the SVDELM is an effective prediction model for multivariate time series.
  • 摘要：A novel image fusion algorithm is proposed based on nonsubsampled Contourlet transform (NSCT) and regional features.This method can obtain better the local features of the spatial and frequency domain,while improving the quality of the fusion image.Firstly,two primitive matched images are decomposed at multi-scale and multi-direction by NSCT.Then the fusion rule based on regional average energy and the average energy matching degree is used to fuse the low frequency subband components.The high frequency subband components by using improved sum of Laplace energy.Finally,the fusion result of image reconstruction is obtained through inverse NSCT.The results of simulation show that this novel method are better than the other three common image fusion methods.The test results can preserve a good edge and many detail information.%提出一種把非下采樣Contourlet變換(NSCT)和區域特征相結合的圖像融合新方法.該方法能夠獲取更好的空域和頻域中的局部特征,同時提高融合圖像的質量.用NSCT對已經配準的源圖像在不同尺度和方向進行分解,低頻子帶分量采用區域平均能量和匹配度相結合的融合規則,高頻子帶分量使用改進的拉普拉斯能量和取大的融合規則.然后,利用逆NSCT變換對圖像重構得到融合結果.實驗結果表明,新方法優于其他三個常用的方法,且較好地保留圖像的邊緣和細節信息.
  • 摘要：Addressing the issue of photovoltaic module parameters identification,a new hybrid algorithm based on multi-group particle swarm optimization and simplex method is proposed.Firstly,the transcendental equation of the single diode photovoltaic model is modified so as to greatly reduce the computation complexity.Secondly,the search space for the parameters is optimized by pre-estimating the parameters initial value.And then,combining the advantage of multi-group particle swarm optimization and simplex method,a hybrid N-MPSO algorithm is constructed to quickly obtain the stable and accurate parameters.Finally,the algorithm is validated by several groups of Ⅰ-V data measured from some typical photovoltaic modules.The results show that the proposed N-MPSO algorithm can reach a higher accuracy and lower time complexity compared with some other conventional methods,which is significant to the design,testing and diagnosis of photovoltaic modules and power stations.%針對光伏組件參數辨識問題,通過調整光伏單二極管超越方程重構低計算復雜度的目標函數,以預估計模型參數對搜索空間進行優化.然后,結合多種群粒子群算法與單純形算法的優點,構造出N-MPSO混合新算法用于光伏組件模型參數的精確穩定辨識.最后,利用多種實際光伏組件測量數據對所提方法進行檢驗.結果表明:N-MPSO算法相較于傳統算法能夠更加準確、快速,且能穩定地辨識出任意環境條件下光伏組件的模型參數,對于光伏組件及光伏電站的設計、測試與診斷具有實際意義.
  • 摘要：An approach which based on the combination with lexicon and rules to parse spatiotemporal information of crime cases from the web news was investigated.Designed time word lexicon,time expression rules,police station lexicon,toponymy lexicon and "trigger-crime type" binary classification to extract the information of time,address,police station and crime event type from the web news.Through the design of standardized rules,achieved the structured data of the spatiotemporal and attribute information of the crime cases.It took Fuzhou City as an example,based on the two sets of the data of theft event from four main districts of Fuzhou City from January 2014 to March 2015,one is from the Public Security Department of Fuzhou,the other is the extraction result by this paper.Using the kernel density estimation method to study the crime hotspots,the result are basically the same:Fuzhou theft crime agglomeration occurred in Chating,East Street and Yingzhou Police District.%探討基于詞庫與規則相結合的案(事)件新聞文本時空信息解析方法.通過構建時間詞庫和表達規則、派出所和地名等詞庫以及“觸發詞-案事件類型”二元分類器,實現對案(事)件新聞中的案發時間、案發地點、案(事)件類型和出警派出所信息的抽取,并引用設計規范化規則,實現時空信息的規范化輸出.實驗分別選取本文解析盜竊案件數據和2014年1月至2015年3月福州市四個中心行政城區的公安盜竊案件數據進行比較,利用核密度估計算法研究犯罪集聚區,得到的集聚結果基本一致,發現福州市盜竊犯罪集聚發生于茶亭派出所、東街派出所和瀛洲派出所等轄區.
  • 摘要：This paper designs a component-based LED screen of radio frequency controlled by KW01Zigbee MCU (microcomputer controller unit) based on ARM Cortex-M0+ kernel.We propose a system to use KW01-Zigbee MCU and the general LED dot matrix module (P10 board),and at the same time to consider flexible combinations in the hardware structure.In software design,we give a reusable and portable LED dynamic technology based on the embedded software engineering theory in encapsulating underlying drive.In addition,our studies solve the screen flicker problem through optimization algorithm,describe the communication protocol and protocol frame content,provide a the practical reference for related design and application.%在分析無線LED點陣屏控制技術特點基礎上,給出一種基于ARM Cortex-M0+內核KW01-Zigbee微控制器的無線射頻LED點陣屏控制系統的構件化設計方案.該方案的硬件系統以KW01-Zigbee微控制器為核心,以通用LED點陣模組(P10板)為基礎,充分考慮了靈活的組合方式.軟件設計中,以嵌入式軟件工程理論為基礎,給出可復用、可移植的LED動態刷新的底層驅動封裝,通過優化算法解決屏幕閃爍.討論通信協議設計、協議幀內容格式等技術問題,為相關設計與應用提供一種實際參考.
  • 摘要：針對Criminisi等提出的基于紋理的圖像修復方法中存在的修復順序不準確等問題,提出一種改進的Cri-minisi圖像修復方法.對優先權函數的計算方法進行改進,引入影響因子,提出新的梯度算法,增強結構性較強地方的修復效果,提高優先權的準確性.考慮可能存在的誤差因素,定義了新的置信度項的更新方式.實驗表明,該算法具有更好的修復效果.%Image restoration is a practical research focus in the field of computer vision.Aiming at the problem of existing repair sequence image restoration method based on exemplar which is proposed by Criminisi and other people,is not accurate,proposes an improved method of repair.The method of calculating the priority function was improved,the introduction of impact factor,propose new gradient algorithm to enhance the effect of the structural repair of strong local and improve the accuracy of priority,consider the possible error factors,define a new term confidence update mode.Experimental results show that the improved algorithm has better repair effect.
  • 摘要：針對粒子濾波的粒子退化和貧化問題,將新興的簡化群優化(SSO)算法引入到粒子濾波的重采樣階段.SSO算法結構簡單,在保留優良粒子的基礎上,增加一項粒子隨機運動過程,以提供粒子多樣性.實驗結果表明,新算法不僅有效提高了對非線性系統狀態的估計精度,而且具有更高的運算速度.%A new particle filter based on the simplified swarm optimization (called SSO-PF) is proposed for solving the degeneracy and impoverishment problem in the particle filter.The proposed algorithm uses the emerging SSO that is simple as the resampling stage of particle filter.A random movement is added to SSO to maintain particles diversity.Experimental results show that the proposed algorithm not only effectively boosts the estimation accuracy of the nonlinear system state,but also has a higher computing speed.
  • 摘要：針對基于尺度不變特征轉換(scale invariant feature transform,SIFT)在配準過程中存在大量誤匹配的問題,提出一種基于仿射變換的誤匹配剔除方法.該方法首先根據SIFT算法粗匹配后得到的初始匹配點對,利用最小二乘法求解仿射變換的系數,然后通過不斷迭代去除均方根誤差較大點對的匹配關系.以長汀縣不同時相的TM影像配準為案例的實驗結果表明,所提出的方法簡明高效、配準精度優于目前被廣泛使用的RANSAC誤匹配對剔除方法.%Aiming at the problem that a great deal of mismatch exists in the process of scale-invariantfeature-transform(SIFT)-based matching,a new method based on affine transformation is proposed.Firstly,the coefficients of the affine transformation are computed by means of the least square method according to initial matched point pairs resulting from rough matching carried out by the SIFT algorithm.Then the matching relationship of point pairs with larger RMSE is eliminated by continuous iteration.The experimental registration results of TM image of Changting County in different time phase show that the proposed method is simple and efficient,and the registration accuracy is better than that of the widely used RANSAC method.
  • 摘要：《福州大學學報(自然科學版)》于1961年創刊,是由福建省教育廳主管,福州大學主辦的自然科學類綜合性學術期刊,入選中文核心期刊、中國科技核心期刊。本刊以促進科學技術發展為宗旨,為科研工作者提供學術交流與傳播平臺,主要刊載本校教師和研究生在基礎科學、工程技術科學和應用科學等領域的研究成果,也適量刊登校外學者的優秀科技論文。為保證刊物質量,根據國家有關出版物的法規、標準及高校學術期刊出版規范制定本規則。
  • 摘要：In order to overcome the shortcoming of the static characteristics in recommendation algorithms,the collaborative filtering recommendation algorithm of dynamic feedback combining similar users with trust relationship is proposed.The algorithm integrates similar users with trust relationship using dynamic factors,which are randomly initialized.The positive and negative feedback mechanism is established according to the error between user feedback and system prediction.In the light of the type of feedback,the value added or attenuation function is selected to properly adjust dynamic factors so that the systcm better predicts the user's score.Experiments using the real data set Epinions show that the dynamic fusion algorithm with the positive and negative feedback further improves the recommendation accuracy than that based on similar users or trust relationship.%為了克服推薦算法的靜態性缺點,提出融合相似用戶和信任關系的動態反饋協同過濾推薦算法.該算法用動態因子融合相似用戶和信任關系,動態因子初始取隨機數,根據用戶反饋和系統預測的誤差建立正負反饋機制.按照反饋類型,選擇增值或衰減函數適當調整動態因子,以便系統更好預測用戶評分.在真實數據集Epinions上的實驗表明,采用正負反饋的動態融合算法,不僅克服了靜態性缺點,而且較基于相似用戶或者信任關系的推薦進一步提高了推薦準確率.
  • 摘要：研究具有反饋控制變量的兩種群偏害共生模型正平衡點的穩定性.通過構造適當的Lyapunov函數,討論系統的全局穩定性.研究表明,如果原系統是全局穩定的,反饋控制變量僅改變正平衡點的位置,使得種群平衡密度變小,不會改變正平衡點的穩定性;如果原系統是絕滅的,加入適當的反饋控制變量,可以使絕滅的種群變穩定.%An amensalism system with feedback controls is investigated.By constructing a suitable Lyapunov function,we discuss the global stability of the equilibrium.Research results show that if the amensalism system is global stability,the feedback control variables have no influence on the global stability.If the amensalism system is extinct,by choosing suitable feedback control variables,the extinct population becomes stability.
  • 摘要：以深亞微CSMC M5324工藝對標準單元建庫流程進行系統研究,確立一個性能好、面積相對較小的C2MOS結構D寄存器,對其進行原理圖設計優化、棍棒圖繪制、版圖設計驗證、單元表征和LEF文件提取等操作.LED驅動控制芯片使用自行改進的C2MOS結構D寄存器,與使用CSMC提供的標準D寄存器相比,整個芯片Core面積減少8.1％,進行MPW驗證,工作正常,性能達到要求.%This paper makes systematical research on establishing the standard cell library process based on the deep submicron CSMC M5324 process.A good performance D register is adopted,relatively smaller size of the C2MOS structure D register and makes its schematic design optimization,drawing sticks diagram,layout design and verification,cell characterization and lef file extraction and so on.The LED driver control chip makes use of self improved C2MOS structure D register,compared to adopting the standard D register which is provided by CSMC,the whole chip core area is decreased by 8.1％.By the MPW verifitation,the chip is worked normally and met the performance requirements.
  • 摘要：基于長汀縣最優降雨侵蝕力算法∑EI60,利用河田站降雨過程數據得到的R最優(∑EI60)與該數據經過逐時分割得到的R逐時(∑E60P60)進行線性擬合,線性擬合的決定系數達到0.909;再將該擬合方程應用于逐時網格降雨融合數據中,估算縣域降雨侵蝕力的空間分布.與常規的簡易模型和逐月降雨量進行插值的方法相比,獲得精度更高、更加符合實際情況的區域降雨侵蝕力分布,為該地區水土流失監測提供科學依據.%Based on the best rainfall erosivity algorithm ∑ EI60 in Changting County,the determination coefficient of linear simulation of RoptimalValue(∑EI60) which was acquired from rainfall process data of Hetian station and RHourlyValue (∑ E60 P60) which was acquired from the same data but segmented by hourly reached 0.909.The result which used the fitting equation and hourly grid rainfall data to estimate the spatial distribution of rainfall erosivity is of high-precision and its spatial distribution is more practical compared with the regular way of interpolation based on simple model and monthly rainfall data,thus provides scientific basis for monitoring in soil erosion monitoring.
  • 摘要：通過引入Prüfer數編碼、歸一化運算、粒子的位置矩陣進行模糊化等操作,將連續型粒子群優化算法改造為離散化PSO.并通過構造旅行商問題的度約束最小生成樹,利用DCMST的模糊離散粒子群算法求出最優解.采用TSP的測試實例進行仿真實驗,證明算法的有效性與實用性.%The Prüfer number coding mechanism,the normalized operation,and the fuzzification of the particle's position matrix are designed for transform the continuous PSO into discrete PSO in this paper.Then the fuzzy discrete particle swarm optimization algorithm of degree-constrained minimum spanning tree (DCMST) is designed to solve the travelling salesman problem (TSP).The benchmark for TSP is simulated and the simulation results show the effectiveness of the algorithm.
  • 摘要：提出一種蛋白質亞細胞定位預測方法.該方法以位置特異性得分矩陣和基因本體抽取對應特征,結合支持向量機構建多標簽分類模型.充分考慮了蛋白質進化信息對其亞細胞定位的影響,并基于文本分類中涉及到的卡方檢驗的對數變換思想,構建基因本體注釋信息的加權系數對其進行加權處理,從而提高預測的準確率.采用支持向量機作為基分類器構建多標簽分類模型,進一步提高預測的準確率.通過在目前該領域兩個常用的真實數據集上進行的一系列測試結果表明,該方法能有效提高蛋白質亞細胞定位預測的準確率.%This paper puts forward a computational method for the problem of predicting protein subcellular localization.It uses features of the position specific scoring matrix (PSSM) and gene ontology (GO),and uses the support vector machine (SVM) to construct a classifier.This method considers the effect of evolutionary information to the subcellular location and also employs text mining method a logarithmic transfornation of CHI to determine weight for GO features to achieve higher precision.Furthermore,using SVM as base classifier to construct multi-label classification model,it is performed on two benchmark datasets.The application result shows that the proposed method effectively improves the accuracy of prediction of protein subcellular localization.
  • 摘要：提出一種結合用戶間影響力和對象間關聯關系的社會化推薦方法.該方法在建立用戶興趣模型時,利用貝葉斯方法計算用戶間影響力和對象間關聯關系,得到用戶間影響力矩陣和對象間關聯關系矩陣;然后,將其與用戶-對象評分矩陣進行聯合分解,解決了只考慮當前的興趣而無法提高推薦準確率的問題.實驗結果表明,所提的方法能夠在推薦準確率上取得更好的效果.%This paper proposed a social recommendation based on user influences and item relations on follow recommendation of weibo.The method using Bayes method to calculate influences between users and relations between items,and get the user influences matrix and item relations matrix.Then solve the problem by probability matrix factorization.Experimental results show that the proposed method outperforms other methods on recommendation accuracy.
  • 摘要：設計了命名數據移動自組織網絡的全新轉發策略(LAFS).LAFS控制低能量節點對請求數據包的響應,實現了在不增加網絡負載的前提下延長整網生命周期、降低網絡時延的效果.通過將LAFS與命名數據網絡中已有的兩個轉發策略在生命周期、跳數和時延三個方面進行分析與比較,證實了LAFS轉發策略更高效節能.%A novel forwarding strategy for named data mobile ad hoc,which is called LAFS,is proposed in this paper.Through the way of controlling low-energy nodes' reaction to requests,LAFS can prolong the whole network lifetime and lower the network delay without increasing the network loading.Compared with two existent forwarding strategy in life-time,hop counts and delay,LAFS is proved to be more energy-efficient.
  • 摘要：醫療影像數據是醫生進行臨床診斷、跟蹤病情發展、制定手術計劃的重要客觀依據.為了使影像數據的利用更加準確和高效,將紋理統計分析方法應用至胸主動脈CT圖像的紋理特征分析中,以像素對間的方向參數和距離參數構造灰度共生矩陣,并從該矩陣中提取出有意義的統計量來表征紋理.實驗證明,使用該共生矩陣提取出的特征能夠區分正常主動脈和夾層主動脈,為進一步建立醫學圖像輔助診斷系統提供基礎.%The massive patient image data is an important objective basis in clinical diagnosis,planning,tracking and operation research for doctors.In order to use the image data more efficient and correct,this article extracts the thoracic aorta CT image texture feature by statistical analysis.The symbiotic matrix is constructed by direction and distance parameter between pixels.Then matrix extracts from the energy,entropy,contrast,correlation and other meaningful statistics to represent the texture characteristics.Experiments proved that the feature extracted by the co-occurrence matrix can distinguish normal aorta and interlayer aorta,to provide the premise condition for further establish medical image aided diagnosis system.
  • 摘要：以區域土地資源優化配置為目標,針對區域的社會、經濟、環境、資源等多個因素進行研判,利用區間直覺加權算術集成算子對群體意見進行綜合集成,根據各配置方案與理想點的逼近程度對區域土地資源方案進行排序.最后以福建省土地資源配置案例證明該方法的有效性.%The interval fuzzy numbers was used to express the reasonableness of the expert judgment information making.To optimize the allocation of the regional land resources,this paper,on the basis of the study on experts' evaluation of multiple regional factors concerning society,economy,environment,and resources,employs ⅡWAA operator to integrate allocation proposals and prioritizes the proposals by relative proximity between the regional index and ideal points and following that,the case of Fujian Province is adopted to exemplify the feasibility of this approach.
  • 摘要：研究Wang-Wu提出的亞塑性模型,并指出該模型應用在堆石料時存在的不足.推導了模型參數的求取方法,建立了參數與圍壓之間的關系,提出了新的模型參數.通過堆石料大型側限壓縮試驗、 大型三軸排水試驗、鄧肯E-B模型和改進的沈珠江雙屈服面模型,反演其他圍壓的試驗值并進行對比驗證.所得成果表明,提出的7個新參數有效地解決該模型應用到堆石體材料時遇到的確定參數的難題,有利于將該模型推廣到堆石體材料工程.%The Wang-Wu hypoplastic model was studied and its defect of the model used in rockfill materials was pointed out. According to the derivation of the model parameters equation, the relation-ship between the parameters and the confining pressure was established and the new model parameters were proposed. The method was verified by means of rockfill oedometric test, rockfill triaxial consoli-dated drained test, Duncan E-B model inversion test and modified Shen Zhujiang' s double-yield sur-face model inversion test. It was shown that the proposed seven new parameters could effectively solve the problem of determining the parameters when the model was introduced into the rockfill materials, and it is helpful for the model to be extended to the rockfill material engineerings.

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