Bioactive Polymers 62. A Novel Macromolecular Drug Based on 5-Acetylamino-2-Sulfamoyl-1,3,4 Thiodiazole

The condensation reaction of 5-acetylamino-2-sulfamoyl-1,3,4 thiodiazole (acetazolamide) on the poly(acrylic acid-co-styrene) copolymer was studied, with a view to obtaining a retard drug. Coupling was performed in a THF medium in the presence of dicyclohexylcarbodiimide as activator. The diuretic effect of the newly obtained drug was checked in rats.     

MPEG-2编码器中一种新型的DCT/IDCT结构

针对DCT变换编码是MPEG 2标准中运算量较大的部分 ,采用行列分解法设计的 8× 8二维DCT/IDCT结构 ,仅用一个 1维DCT核完成MPEG 2编码的二维DCT/IDCT变换 ,1维DCT核的流水数据宽度为两像素宽 ,较同类结构[1,2 ] 有更好的利用率。该设计是在完成MPEG 2编码器结构实现时提出的 ,整体结构规整 ,适合VLSI实现 ,具有一定的应用价值     

Influence of Irradiation Sterilization on Polymers Used as Drug Carriers—A Review

A survey was made of the influence of irradiation sterilization on relevant natural, semisynthetic, and synthetic polymers used for drug carrier system. The first part of the review deals with some general aspects of irradiation treatment and its use in the sterilization of pharmaceuticals. The second part reviews the information available in the literature on polymeric biomatenals used for carriers after irradiation sterilization. The influence of irradiation sterilization has been described for polyester, poly(ortho ester), different synthetic hydrogels, silicone derivatives, cellulose-derivatives, hyaluronic acid, different glucosides, collagen, and gelatine. Also, some limitations concerning the use of high-energy radiations for sterilization are given.     

一种新的P2P网络自组织数据路由模型

提出了一种新的P2P(Peer-to-Peer)网络数据路由模型(SPDR)。SPDR利用具有数据转发能力的P2P节点构造虚拟数据路由,使P2P节点能够动态地突破网络对通信双方的限制,从而解决当前P2P网络中许多节点无法进行数据交换的问题,增强P2P网络的通信能力。此外,SPDR采用自组织的方式管理P2P网络的数据路由建立过程,保持了P2P网络的可扩展性。仿真结果表明,SPDR明显改善了P2P资源的可访问性。     

一种新的边缘保持分水岭的图像分割算法

为了达到抑制分水岭过分割和保持物体边缘信息不受破坏的双重目的,提出了一种新的边缘保持水岭(Watershed)算法.首先,根据K-均值聚类将图像分成多块;然后利用噪声标准差构造相对应的双边滤波器平滑每块图像;接着计算形态学梯度,对梯度图像进行H-minima标记;最后对标记图像进行分水岭分割.该算法将双边滤波和分水岭算法相结合,有效地抑制了过分割并且较好得保持了物体边缘信息.     

A Novel Steganography Algorithm Based on Instance Segmentation

Information hiding tends to hide secret information in image area where is rich texture or high frequency, so as to transmit secret information to the recipient without affecting the visual quality of the image and arousing suspicion. We take advantage of the complexity of the object texture and consider that under certain circumstances, the object texture is more complex than the background of the image, so the foreground object is more suitable for steganography than the background. On the basis of instance segmentation, such as Mask R-CNN, the proposed method hides secret information into each object's region by using the masks of instance segmentation, thus realizing the information hiding of the foreground object without background. This method not only makes it more efficient for the receiver to extract information, but also proves to be more secure and robust by experiments.     

A Novel Quantum Stegonagraphy Based on Brown States

In this paper, a novel quantum steganography protocol based on Brown entangled states is proposed. The new protocol adopts the CNOT operation to achieve the transmission of secret information by the best use of the characteristics of entangled states. Comparing with the previous quantum steganography algorithms, the new protocol focuses on its anti-noise capability for the phase-flip noise, which proved its good security resisting on quantum noise. Furthermore, the covert communication of secret information in the quantum secure direct communication channel would not affect the normal information transmission process due to the new protocol’s good imperceptibility. If the number of Brown states transmitted in carrier protocol is many enough, the imperceptibility of the secret channel can be further enhanced. In aspect of capacity, the new protocol can further expand its capacity by combining with other quantum steganography protocols. Due to that the proposed protocol does not require the participation of the classic channel when it implements the transmission of secret information, any additional information leakage will not be caused for the new algorithm with good security. The detailed theoretical analysis proves that the new protocol can own good performance on imperceptibility, capacity and security.     

A Novel Superconducting Detector Based on Fluxoid Quantization

Future astrophysics missions will require ever more capable detectors demanding new concepts beyond simple improvements to existing technology. We describe the development of a novel detector whose operation relies on the superconducting phenomenon known as fluxoid quantization. The device is appropriately named the fluxoid quantization detector (FQD) and has several significant advantages over existing superconducting detectors. Most importantly the device can be modulated, allowing for lock-in detection. Equally exciting is the device’s impressive responsivity. The responsivity is estimated to be two orders of magnitude higher than that of state of the art transition edge sensors (TESs). All foreseeable space missions must use detectors that are scalable into large format arrays. In addition, the detectors must be fabricated using reproducible, proven methods. The proposed device technology meets these demands due to its natural compatibility with existing multiplexing and processing techniques. The main applications will be instrumentation for studies of the cosmic microwave back-ground, X-ray calorimetry, far-infrared astrophysics and dark matter detection.     

基于GA-BP神经网络大气中PM2.5软测量研究

大气中PM2.5质量浓度变化具有较强的非线性特性,传统的软测量方法很难对其做出准确的计量监测。针对传统BP神经网络易陷入局部最小值的缺陷,将遗传算法和BP神经网络相结合建立了GA-BP神经网络软测量模型,将该模型应用到大气PM2.5质量浓度的计量监测中,并与传统BP神经网络模型的监测结果进行对比,结果表明经过遗传算法优化后的模型具有更好的非线性拟合能力和更高的监测精度。     

一种基于静电纺碳纳米纤维的酚醛传感器

采用静电纺制备纳米纤维膜,接着通过高温碳化技术处理得到碳纳米纤维膜(ECNFs),再通过共混得到漆酶-全氟磺酸聚四氟乙烯共聚物-纳米碳纤维玻碳电极(laccase-Nafion-ECNFs/GCE)并制备新酚醛传感器。采用拉曼荧光显微分光计和Nicolet iS10傅里叶红外光谱仪对ECNFs进行分析;用循环伏安法对laccase-Nafion/GCE、laccase/GCE、laccase-Nafion-ECNFs/GCE进行了检测并测试扫描速率对laccase-Nafion-ECNFs/GCE效果的影响;采用方波伏安法对laccase-Nafion/GCE、laccase/GCE、laccase-Nafion-ECNFs/GCE进行了检测并测试对苯二酚浓度对laccase-Nafion-ECNFs/GCE效果的影响。结果表明:实验获得了ECNFs,且ECNFs的表面存在大量的羧基基团,有利于提高ECNFs的电催化性能和生物相容性;ECNFs的添加,提高了复合材料的导电率并增加了玻碳电极表面到漆酶中心的电子转移速率;漆酶在laccase-Nafion-ECNFs复合材料和玻碳电极表面很容易发生电子传输;ECNFs的修饰强烈地增加了玻碳电极对对苯二酚的电催化作用;该生物传感器的检测限为0.32μmol/L,线性范围为1~20μmol/L,可满足环境监测的要求。这种基于电纺纳米碳纤维的新型生物传感器装置具有很大的应用潜力。     

一种基于多重平均的谐波新算法

在多重平均谐波分析的基础上,提出了一种新的谐波分析算法,可以准确方便地计算出各次谐波的幅值和相位。通过计算机仿真和实验验证证实了该方法的准确程度,并采用蒙特卡罗实验研究了噪声的影响,得出了工程实用的结论。     

A Novel Smart Beta Optimization Based on Probabilistic Forecast

Rule-based portfolio construction strategies are rising as investment demand grows, and smart beta strategies are becoming a trend among institutional investors. Smart beta strategies have high transparency, low management costs, and better long-term performance, but are at the risk of severe short-term declines due to a lack of Risk Control tools. Although there are some methods to use historical volatility for Risk Control, it is still difficult to adapt to the rapid switch of market styles. How to strengthen the Risk Control management of the portfolio while maintaining the original advantages of smart beta has become a new issue of concern in the industry. This paper demonstrates the scientific validity of using a probability prediction for position optimization through an optimization theory and proposes a novel natural gradient boosting (NGBoost)-based portfolio optimization method, which predicts stock prices and their probability distributions based on non-Bayesian methods and maximizes the Sharpe ratio expectation of position optimization. This paper validates the effectiveness and practicality of the model by using the Chinese stock market, and the experimental results show that the proposed method in this paper can reduce the volatility by 0.08 and increase the expected portfolio cumulative return (reaching a maximum of 67.1%) compared with the mainstream methods in the industry.     

一种新的动态载荷识别方法

本文提出一种基于光滑样条函数的动态载荷识别方法。该方法克服了传统的频域法和时域法需要事先测定系统频响函数或模态参数的限制，只需要系统的少量物理参数就可以达到载荷识别的目的。文中设计了一个十自由度的系统，算例表明了该方法的有效性。     

A Novel Two-Axis CMOS Accelerometer Based on Thermal Convection

Accelerometers based on thermal convection use a tiny bubble of heated air and pairs of temperature sensors hermetically sealed inside the sensor package cavity. In this paper, we successfully design and fabricate a novel thermal-bubble-based micromachined accelerometer with the advantages of minimized solid thermal conductance and higher sensitivity. The proposed accelerometer consists of a microheater and two pairs of thermopiles floating over an etched cavity and is constructed by our proposed microlink structure. Two-dimensional acceleration detection is easily realized using the microlink structure, and it can be applied to the technology of inclinometers, anemometers, and flowmeters. The heater and thermopiles are connected by netlike microlink structures, which enhance the structure and greatly reduce the solid heat flow from the heater to the hot junctions of the thermopiles. The samples are fabricated by the TSMC 0.35-$muhbox{m}$ 2P4M CMOS process, which has been provided by the National Chip Implementation Center (CIC). Our design has proved to be applicable for commercial batch production with outstanding strong structures and uniform quality. We measure the output signal by inclining the sensor to evaluate the performance of this accelerometer. The best sensitivity of 22 $muhbox{V}/ hbox{g}$ was obtained from acceleration versus output voltage under several experimental conditions.      

2.5GHZ光孤子传输

报导了我国首次成功地实现了２．５ＧＨｚ光孤子传输。近变换极限的孤子脉冲源是带有Ｆ－Ｐ标准具的增益开关分布反馈激光二极管。孤子脉冲的功率通过分别由１４８０ｎｍ和９８０ｎｍ泵浦的两个掺饵光纤放大器放大，当入纤功率达到一阶孤子功率时，经过２１ｋｍ色散位移光纤传输后，孤子的输出脉宽保持不变。同时还观察到孤子脉冲压缩现象。     

一种新型的基于LQI的加权质心定位算法

提出一种基于链路质量指示(LQI)的测距技术与加权质心定位算法相结合的新型定位算法。经过数据分析比较,验证了LQI要比接收信号强度指示(RSSI)更稳定、抗干扰能力更强。采用高斯滤波模型对实验测量值进行处理,增加了数据的准确性。建立基于RSSI和LQI的对数拟合测距公式,利用质心定位算法进行仿真实验,结果表明:采用基于LQI测距的加权质心算法定位,其定位精度有了较大提高,达到了较为理想的定位效果。