库水位升降条件下滑坡的稳定性极小状态——以三峡库区为例

滑坡的变形破坏过程和所造成的不良地质环境问题对人类工程活动带来十分严重的危害,并且还可能引起生态环境的失调和破坏,造成更为深远的影响。对三峡库区滑坡研究发现,随着库水位的动态变化滑坡的稳定性并非出现单调的变化趋势,而是在这个过程中达到稳定性系数极小的状态。然而,对这个极小稳定性状态的形成及特征还缺少论述。本文基于滑坡地下水运动模型和稳定性评价的极限平衡模型对库水位升降条件下滑坡稳定性极小状态的形成机理和影响因素进行研究。结果表明,滑坡稳定性极小状态的形成时间和稳定性系数受到含水层渗透系数和库水位升降速率的影响,并且滑坡在库水位下降阶段的稳定性极小状态比蓄水期更具有失稳风险。

APPLICATION OF ACOUSTIC EMISSION SENSOR IN DETECTING TOOL BREAKAGE IN MICRO-MILLING

Acoustic emission （AE） sensors are used to monitor tool conditions in micro-milling operations. Together with the microphone, the AE sensor can detect the tool breakage more accurately and more effectively by applying the wavelet analysis. The processed tool breakage technique by AE sensor is used to perform the wavelet analysis on the experimental data. Results indicate the feasibility of using the AE signals for monitoring the tool condition in micro-milling.

针对Fruit v2和Fruit-80的差分错误攻击

基于轻量级流密码Sprout,Fruit v2、Fruit-80、Fruit-128和Fruit-F等Fruit族小状态流密码自2016年相继被提出。Fruit族密码与Sprout结构相比,最大的区别在于Fruit族密码中非线性反馈移位寄存器与线性反馈移位寄存器的内部状态没有参与轮密钥函数状态更新,这使得对Fruit族密码的密钥恢复攻击相比于Sprout更加困难。借鉴Maitra等学者对Sprout的差分错误攻击方法和Banik等学者对Grain的差分错误攻击方法,在一个相对宽松的错误模型下,对Fruit v2和Fruit-80进行了差分错误攻击。攻击中,在攻击者能够多次注入时间同步的单比特错误的假设下,首先精确识别了错误注入的位置;随后通过求解利用输出函数的一阶差分性质得到的线性方程组,完整恢复了Fruit v2与Fruit-80的整个内部状态,恢复内部状态所需的时间复杂度为216.3(线性反馈移位寄存器)和26.3(非线性反馈移位寄存器)。进一步地借助Cryptominisat-2.9.5 SAT解算器,只需要大约10 min即可求解所有密钥,整个故障攻击所需错误个数为27.3。精确识别错误位置的复杂度分别为26.3(Fruit v2)和27.3(Fruit-80)。

轻量级序列密码研究进展

随着移动通信和物联网的快速发展,在硬件资源受限和功耗较低的应用场景中对密码保护的需求越来越大,密码算法的轻量化成为必然要求,近年来,轻量级序列密码的设计与分析是一个研究热点。首先介绍了四个新型的轻量级序列密码,它们共同的特点是内部状态小于密钥长度的两倍;其次介绍了每种算法的最新安全性评估结果;最后探讨了轻量级序列密码的发展趋势。

SOC estimation of lithium-ion power battery for HEV based on advanced wavelet neural network

In order to improve the estimation accuracy of the battery＇s state of charge（SOC） for the hybrid electric vehicle（HEV）,the SOC estimation algorithm based on advanced wavelet neural network（WNN） is presented.Based on advanced WNN,the SOC estimation model of a lithium-ion power battery for the HEV is first established.Then,the convergence of the advanced WNN algorithm is proved by mathematical deduction.Finally,using an adequate data sample of various charging and discharging of HEV batteries,the neural network is trained.The simulation results indicate that the proposed algorithm can effectively decrease the estimation errors of the lithium-ion power battery SOC from the range of ±8% to ±1.5%,compared with the traditional SOC estimation methods.

Joint Antenna Selection and Robust Beamforming Design in Multi-cell Distributed Antenna System

Most of studies on Distributed Antenna System(DAS) focus on maximizing the sum capacity and perfect channel state information at transmitter(CSIT).However,CSI is inevitable imperfect in practical wireless networks.Based on the sources of error,there are two models.One assumes error lies in a bounded region,the other assumes random error.Accordingly,we propose two joint antenna selection(AS) and robustbeamforming schemes aiming to minimize the total transmit power at antenna nodes subject to quality of service(QoS) guarantee for all the mobile users(MUs) in multicell DAS.This problem is mathematically intractable.For the bounded error model,we cast it into a semidefinite program(SDP) using semidefinite relaxation(SDR) and S-procedure.For the second,we first design outage constrained robust beamforming and then formulate it as an SDP based on the Bernstein-type inequality,which we generalize it to the multi-cell DAS.Simulation results verify the effectiveness of the proposed methods.

On Maggie＇s Feminist Thoughts in The Mill on the Floss

George Eliot（1819-1880）, is one of the most highly praised novelists in the literary world in the 19th century because of her unique position in English literature. She wrote a large quantity of works of the highest merit and of far-reaching influence. Her attitude towards feminism has aroused wide attention and has been discussed hotly among feminist critics in different countries. The Mill on the Floss, which first appeared in1860, is regarded as the most excellent autobiographical novel of Eliot. The ideology of male power in the patriarchal society during the Victorian Era is internalized in people＇s heart, which brings huge influence on Maggie＇s female mental state. This paper aims to discuss the causes of Maggie＇s feminist thoughts and manifestation of her feminism, thus, the influence upon women in her times. The paper concludes that Eliot was a great female author full of pioneering feminist thought from the example given by Maggie in The Mill on the Floss.

Entropy Production Rate Changes in Lysogeny/Lysis Switch Regulation of Bacteriophage Lambda

According to the chemical kinetic model of lysogeny/lysis switch in Escherichia coli （E. coil） infected by bacteriophage A, the entropy production rates of steady states are calculated. The resuits show that the lysogenic state has lower entropy production rate than lyric state, which provides an explanation on why the lysogenic state of A phage is so stable. We a/so notice that the entropy production rates of both lysogenic state and lyric state are lower than that of saddle-point and bifurcation state, which is consistent with the principle of minimum entropy production for living organism in nonequilibrium stationary state. Subsequently, the relations between CI and Cro degradation rates at two bifurcations and the changes of entropy production rate with CI and Cro degradation are deduced. The theory and method can be used to calculate entropy change in other molecular network.

Bridging the Achievement Gap for Students： A Blueprint for Success

The purpose of this research is to identify and examine the achievement gaps between students. Over the past thirty years, emphasis has been placed on achievement levels of students in this country. State test results, SAT Scores, ACT scores and other assessment instruments have been used to determine performance standards and test results for students. Data analyzed for White students compared to African American and Hispanic students have provided critical information in identifying academic progress and skill deficits for all students. This article will highlight some of the achievement gaps which exit among White, African American and Hispanic Students. Recommendations will also be emphasized to help improve student achievement levels in an effort to close the achievement gap.

Women on the Cross： A Study of the Heroines of George Eliot＇s Three Major Novels

Women＇s suffering in George Eliot＇s three major novels in part results from, on the one hand their consciousness of their futile struggling for something that is incompatible with the society, and on the other, their eventual renunciation of their original dreams. Generally speaking, no matter what overt images they assume, Madonna or madwoman, no matter which period they are in, no matter how hard they try, suffering more or less characterizes their normal living state and they generally have to face a doomed fate. However, Eliot is by no means a pessimist, and she will never let her heroines subject to their fate passively. In suffering, these heroines still believe in love and humanity. They keep their eyes on the misery of the world with great sympathy. They suffer for themselves, and more for others. Suffering is the source of their strength and their way to save the corrupted souls of their male counterparts. They put themselves on the cross of suffering, and in this process they eventually are elevated as Christ figures. Suffering, as Eliot has wished, serves as a baptism, a regeneration, and the initiation into a new state for the sufferers and also a salvation to the world.

Local Partial Least Squares Based Online Soft Sensing Method for Multi-output Processes with Adaptive Process States Division

Local learning based soft sensing methods succeed in coping with time-varying characteristics of processes as well as nonlinearities in industrial plants. In this paper, a local partial least squares based soft sensing method for multi-output processes is proposed to accomplish process states division and local model adaptation,which are two key steps in development of local learning based soft sensors. An adaptive way of partitioning process states without redundancy is proposed based on F-test, where unique local time regions are extracted.Subsequently, a novel anti-over-fitting criterion is proposed for online local model adaptation which simultaneously considers the relationship between process variables and the information in labeled and unlabeled samples. Case study is carried out on two chemical processes and simulation results illustrate the superiorities of the proposed method from several aspects.

ANALYSIS OF AFFECTIVE ECG SIGNALS TOWARD EMOTION RECOGNITION

Recently,as recognizing emotion has been one of the hallmarks of affective computing,more attention has been paid to physiological signals for emotion recognition.This paper presented an approach to emotion recognition using ElectroCardioGraphy(ECG) signals from multiple subjects.To collect reliable affective ECG data,we applied an arousal method by movie clips to make subjects experience specific emotions without external interference.Through precise location of P-QRS-T wave by continuous wavelet transform,an amount of ECG features was extracted sufficiently.Since feature selection is a combination optimization problem,Improved Binary Particle Swarm Optimization(IBPSO) based on neighborhood search was applied to search out effective features to improve classification results of emotion states with the help of fisher or K-Nearest Neighbor(KNN) classifier.In the experiment,it is shown that the approach is successful and the effective features got from ECG signals can express emotion states excellently.

Interpretation of Symbolism in Willa.Cather novel ＂A Lost Lady＂

＂ A Lost Lady＂ is at beginning of the 20th century, a important work of creation of a famous American writer Willa Cather, through a story that a woman in a social swirl in old age gradually fall and sink, it reflects the commercialization of human society and other traditional values and lifestyle impact and erosion, and the desire of mankind for a better civilization. Works use artistic symbolism to play a certain role in the development of the plot, the characters change shape and opposition figures to portray the psychological state.

USING TLS ALGORITHM TO IMPROVE GPS POSITIONING PRECISION WITH ALTITUDE HOLD MODE

This paper presents a new method of improving Global Positioning System(GPS)positioning precision. Based on the altitude hold mode, the method does not need any other equipment. Under this constraint condition, the Total Least Squares(TLS) algorithm is used to prove that the method is effective. Theoretical analysis shows that the algorithm can significantly improve the GPS positioning precision.

Effects of Subsoiling on Some Soil Physical Properties and Wheat Yield in a Dry Land Ecological Condition

In order to evaluate the effect of subsoiling on the soil physical properties and wheat yield in dry land conditions, this research was conducted in Mamassani area of Fars province in Iran. The experiment was laid down in the form of a complete block experimental design with four treatments and four replications for three years. Treatments included： （1） conventional tillage without using subsoiler which was control treatment （So）; （2） using subsoiler with the shank space of 40 cm which was equal to the subsoiling depth （SO; （3） using subsoiler with the shank space of 60 cm which was 1.5 times of the subsoiling depth （S2）; and （4） using subsoiler with the shank space of 80 cm which was 2 times of the subsoiling depth （S3）. Subsoiling depth was set at 40 cm which was the lower limit of the hard pan depth in the soil. Soil cone index, soil bulk density, soil moisture content, wheat yield, and yield components were measured in this study and SAS software was used to analyze the collected data. Results showed that subsoiling decreased the soil bulk density and cone index, and increased water retention of the soil. Results also revealed that applying subsoiler increased wheat yield and yield components in our dry land conditions. Since subsoiling improved soil physical conditions and increases wheat yield, applying subsoiler in such a dry land conditions is therefore recommended. Results of this study also showed that subsoiling with the shank space of 40 cm and 60 cm had better performance compared to the shank space of 80 cm. On the other hand, shank space of 40 cm reduced the subsoiler effective working width and consequently effective field capacity. Therefore, subsoiler with a shank space of 60 cm is recommended for application in dry land soils of our type.

Analysis of Seismic Activity Characteristics before the Yutian M_S7.3 Earthquake,Xinjiang on February 12,2014

This paper introduces the geological structure background around the 2014 Yutian Ms7. 3 earthquake area, investigates and analyzes the regime of small earthquake activity and the characteristics of regional seismicity pattern in Xinjiang before the earthquake, and compares the characteristics of the regional seismic activity with the 2008 Yutian Ms7.3 earthquake. The results show： ① 2 ~ 3 years before the 2014 Yutian Ms7. 3 earthquake, Xinjiang was in a seismic active state with strong earthquake occurring successively, and before the 2008 Ms 7. 3 earthquake, Xinjiang was in the quiet state of moderate-small earthquakes with M3. 0 ~ 4. 0. ② Before this Yutian Ms7. 3 earthquake, the regional seismic activity showed a short-term anomaly feature, that is, seismicity of M ≥ 5. 0 earthquakes significantly increased on the Altun seismic zone and in the source area three years before the Ms7.3 earthquake, while a five year long quiescence of seismicity of M ≥4. 0 earthquakes appeared on the east of the source area in a range of about 440kin. Six months before this M7. 3 earthquake, there existed seismic gap of M3. 0 ~ 4. 0 earthquakes and near-conjugate seismic belt magnitude 3. 0 and 4. 0 in the source area. ③ The state of strong earthquake activity and the seismicity pattern of small earthquakes before this Yutian Ms7. 3 earthquake were significantly different to that before the 2008 Yutian Ms7. 3 earthquake, and this may be related to the different seismogenic environments of the two Ms7. 3 earthquakes.

Research on Damage in Trabecular Bone of the Healthy Human Acetabulum at Small Strains Using Nonlinear Micro-finite Element Analysis

The mechanical properties of the pelvic trabecular bone have been studied at the continuum level. However, nothing is known about the tissue-level damage in the trabecular bone of the healthy human acetabulum at apparent small strains characteristic of habitual. By a DAWING 4000 A supercomputer, nonlinear micro-finite element (μFE) analysis was performed to quantify tissue-level damage accumulation in trabecular bone at small strains. The data indicate that damage in trabecular bone commence at 0.2% apparent strain. The findings imply that tissue yielding can initiate at very low strains in the trabecular bone of the healthy acetabulum and that this local failure has negative consequences on the apparent mechanical properties of trabecular bone.

Effective condition numbers and small sample statistical condition estimation for the generalized Sylvester equation

Abstract In this paper, we investigate the effective condition numbers for the generalized Sylvester equation （AX - YB, DX - YE） = （C,F）, where A,D ∈ Rm×m B,E ∈ Rn×n and C,F ∈ Rm×n. We apply the small sample statistical method for the fast condition estimation of the generalized Sylvester equation, which requires （9（m2n ＋ mn2） flops, comparing with （-O（m3 ＋ n3） flops for the generalized Schur and generalized Hessenberg- Schur methods for solving the generalized Sylvester equation. Numerical examples illustrate the sharpness of our perturbation bounds.

Small value probabilities for continuous state branching processes with immigration

We consider the small value probability of supercritical continuous state branching processes with immigration. From Pinsky （1972） it is known that under regularity condition on the branching mechanism and immigration mechanism, the normalized population size converges to a non-degenerate finite and positive limit PV as t tends to infinity. We provide sharp estimate on asymptotic behavior of P（W≤ε〈） as ε→ 0＋ by studying the Laplace transform of W. Without immigration, we also give a simpler proof for the small value probability in the non-subordinator case via the prolific backbone decomposition.

Targeted peptide-Au cluster binds to epidermal growth factor receptor (EGFR) in both active and inactive states： a clue for cancer inhibition through dual pathways

The epidermal growth factor receptor （EGFR） has become an important target protein in anticancer drug development. Meanwhile, peptide-Au cluster has been proposed as potential targeted nano-drug assembled by targeting peptide. Here, we designed and synthesized a novel peptide-Au cluster as AuloPeptides to target to EGFR. We found AumPeptides could target to the natural binding sites of all EGFRs at mem- brane in both active and inactive states by molecular simulations. Its targeted ability was further verified by the co-localization and blocking experiments. We also study the configuration modifications of both active and inactive EGFRs after binding by AumPeptides. For active EGFR, the absorbed AuloPeptide5 might replace the natural ligand in EGFR endocytosis process. Then, the peptide-Au cluster in endochylema could inhibit the cancer relating enzyme activity including thioredoxin reductasel （TrxR1） and induce the oxidative stress mediated apoptosis in tumor cells. For inactive EGFR, it was retained in inactive state by Au10 Peptides binding to inhibit dimerization of EGFR for anticancer. Both pathways might be applied in anticancer drug development based on the theoretical and experimental study here.