浅谈NB-IoT关键技术及应用

NB-IoT终端支持超低功耗、超大覆盖、超大连接。在广域网蜂窝数据网络下,也被称之为低功耗广域网;NB-IoT终端待机时间长、对网络连接要求较低。NB-IoT设备电池寿命长,最高可以延长使用10年,同时还能为室内提供全面的蜂窝数据连接覆盖系统。     

移动用户行为模型的研究与应用

中国移动用户对通话质量的要求越来越高,通话区域也日益广泛和复杂。识别用户通话中的具体场景,建立有效的用户行为模型,进行针对性的网络优化,是挽留客户的重要手段。本文研究的内容,首先在Nb/Mc接口以镜像的方式采集信令和媒体,分析数据所包含的用户位置信息;然后运用统计的方法建立不同用户场景的行为模型;最后使用该模型对全网的移动用户进行场景分类,进行通话质量的分析。     

铑钨杂多酸-耐尔蓝缔合体系测定痕量铑

研究了在 1 .44 mol/ L H2 SO4 及聚乙烯醇 ( PVA)存在下 ,铑 ( )与钨酸盐及耐尔蓝 ( NB)形成缔合物的最佳反应条件 ,建立了测定铑 ( )超高灵敏的光度分析新方法。缔合物体系在 580 nm处的吸光度与 Rh( )的浓度在 0 .0～ 2 2 ng/ 2 5m L及2 2～ 40 ng/ 2 5m L范围内服从比耳定律 ,其摩尔吸光系数 (ε)达到了 1 0 7L· mol- 1·cm- 1。检出限为 1 .0 2 7ng/ 2 5m L,大量常见离子对 Rh( )的测定不干扰。建立的方法用于测定催化剂及工业产品中铑的含量 ,结果与标准方法 ( Sn Cl2 方法 )测得值一致     

FITC标记重组灵芝免疫调节蛋白(rLz-8)在NB4细胞中的动态定位

实验发现, 重组灵芝免疫调节蛋白(rLz-8)可直接杀伤人急性早幼粒细胞白血病细胞株NB4. 利用异硫氰酸荧光素(FITC)标记rLz-8, 其相关的活性实验结果和晶体结构分析都表明, FITC没有影响rLz-8已知生物学功能. 通过激光共聚焦显微镜观察FITC-rLz-8在NB4细胞内的动态过程发现, FITC-rLz-8可识别细胞膜上的受体, 并可进入细胞质, 并最终富集在细胞核区域内. Annexin V-FITC双染检测结果显示, rLz-8对NB4细胞杀伤作用的可能机制是对NB4细胞凋亡的诱导作用, 在一定浓度范围内, 剂量与凋亡诱导率成正相关. 因此rLz-8能够诱导肿瘤细胞NB4发生凋亡的亚细胞学机制可定位在细胞核上.     

EAST中性束反向注入的初步实验研究

对EAST中性束反向注入过程中等离子体加热和电流驱动进行了实验研究,并采用了美国普林斯顿大学等离子体物理实验室开发的TRANSP 程序对高功率中性束注入过程中能量热输运进行了分析。结果表明,中性束注入可有效提高本底等离子体温度,产生束驱动非感应电流,提高等离子体旋转以及有效改善等离子体约束。     

基于NB9148/NB9149的多路红外遥控系统设计

本文采用新型的红外发射芯片NB9148和接收芯片NB9149作为多路单相交流负载遥控系统的发射及接收电路的核心部分,并采用8051单片机对NB9149接收到的信号进行编译,根据用户需求可输出驱动多路单相交流负载.     

Important citation identification using sentiment analysis of in-text citations

Citation represents the relationship between the cited and the citing document and vice versa. Citations are widely used to measure the different aspects of knowledge-based achievements such as institutional ranking, author ranking, the impact factor of the journal, research grants, and peer judgments. A fair evaluation of research required a quantitative and qualitative assessment of citations. To perform the qualitative analysis of citations, researchers tried to classify the citations into binary classes (i.e., important and non-important). To perform this task, researchers used metadata, content, citations count, cue words or phrases, sentiment analysis, keywords, and machine learning approaches for citation classification. However, the state-of-the-art results of binary classification are inadequate for the calculation of different aspects of the researcher and their work. Therefore, this research proposed an in-text citation sentiment analysis-based approach for binary classification which effectively enhanced the results of the state-of-the-art. In this research, different machine learning-based models are evaluated to determine the in-text citations sentiments. These sentiment results are further used for positive-negative, and neutral citation counts. Furthermore, the scores of cosine similarity between paper citation pairs are also calculated and used as a feature. This sentiment and cosine similarity scores are further used as features in binary classification. The classification is performed through SVM, KLR, and Random Forest. The proposed approach is evaluated and compared with two state-of-the-art approaches on the benchmark dataset. The proposed approach can achieve 0.83 f-measure with the improvement of 13.6% for dataset 1 and 0.67 with an improvement of 8% for dataset two with a random forest classification model.     

Measurements and characterization of power transformer and low voltage access network for NB‐PLC

Several techniques for a state‐of‐the‐art advanced metering infrastructure (AMI) within the smart grid are being extensively studied and evaluated around the world. Advanced metering infrastructure provides an enhanced and efficient energy management infrastructure that can facilitate the latest demands of electric utilities, consumers, and smart grid. In the past few years, standardization process for the implementation of AMI using narrowband power line communications (NB‐PLC) transceivers has been completed by ITU‐T and IEEE. This paper is focused on the utilization of CENELEC band of NB‐PLC for deployment aspects. The power transformer model of 200 and 75 kVA transformers for 9 to 90 kHz frequency range that lies in CENELEC‐A band of NB‐PLC is also proposed. The proposed model is more simple than previously presented models in the literature and has the capability to evaluate the transformers working not only under normal condition but also under resonance condition for frequency of interest. Moreover, the efficient procedure for field measurements that provides a generalized NB‐PLC channel model for low voltage access network to deploy AMI within Lahore, Pakistan, is presented. A Simulink model is developed to validate the results. The analysis of measured and simulated results illustrates a close agreement of channel transfer functions. This research work proposes an improved and more accurate NB‐PLC channel model especially for South Asian countries.     

A novel approach for dimension reduction of microarray

This paper proposes a new hybrid search technique for feature (gene) selection (FS) using Independent component analysis (ICA) and Artificial Bee Colony (ABC) called ICA + ABC, to select informative genes based on a Naïve Bayes (NB) algorithm. An important trait of this technique is the optimization of ICA feature vector using ABC. ICA + ABC is a hybrid search algorithm that combines the benefits of extraction approach, to reduce the size of data and wrapper approach, to optimize the reduced feature vectors. This hybrid search technique is facilitated by evaluating the performance of ICA + ABC on six standard gene expression datasets of classification. Extensive experiments were conducted to compare the performance of ICA + ABC with the results obtained from recently published Minimum Redundancy Maximum Relevance (mRMR) +ABC algorithm for NB classifier. Also to check the performance that how ICA + ABC works as feature selection with NB classifier, compared the combination of ICA with popular filter techniques and with other similar bio inspired algorithm such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The result shows that ICA + ABC has a significant ability to generate small subsets of genes from the ICA feature vector, that significantly improve the classification accuracy of NB classifier compared to other previously suggested methods.     

Synthesis and anti-tumor activity of all-trans retinoic acid derivatives

A series of retinoate and retinamide derivatives were designed,synthesized,and their anti-tumor activities were investigated in NB4 by MTT and flow cytometry assays(FCM).All compounds showed cytotoxicity,especially compounds 1a and 1d exhibited a higher cytotoxicity than other derivatives and all-trans retinoic acid(ATRA).Furthermore,compound 1d could induce NB4 cell lines differentiation efficiently.