Transfer Learning on Deep Neural Networks to Detect Pornography

While the internet has a lot of positive impact on society, there are negative components. Accessible to everyone through online platforms, pornography is, inducing psychological and health related issues among people of all ages. While a difficult task, detecting pornography can be the important step in determining the porn and adult content in a video. In this paper, an architecture is proposed which yielded high scores for both training and testing. This dataset was produced from 190 videos, yielding more than 19 h of videos. The main sources for the content were from YouTube, movies, torrent, and websites that hosts both pornographic and non-pornographic contents. The videos were from different ethnicities and skin color which ensures the models can detect any kind of video. A VGG16, Inception V3 and Resnet 50 models were initially trained to detect these pornographic images but failed to achieve a high testing accuracy with accuracies of 0.49, 0.49 and 0.78 respectively. Finally, utilizing transfer learning, a convolutional neural network was designed and yielded an accuracy of 0.98.     

泡沫钢的制备及压缩吸能特性

为制备高强轻质泡沫钢吸能材料,本文以430L不锈钢粉为原料、CaCl₂为造孔剂,采用粉末冶金烧结-溶解法制备了孔隙率为64%~80%,孔径1~4 mm的泡沫钢.利用SEM和XRD对试样进行微观组织结构分析,并对试样进行轴向准静态压缩测试,分析讨论了孔隙率和孔形对泡沫钢压缩变形行为和吸能特性的影响,以及变形过程中孔结构变形和坍塌机理.研究表明：泡沫钢孔结构呈近球形且分布均匀,孔之间通过孔壁上的微孔形成有效连通.在压缩变形过程中,变形区首先发生在孔形不规则且孔壁较薄处,后诱发周围孔变形并形成多个变形带.泡沫钢试样压缩屈服平台应力随着孔隙率的增加而减小,当孔隙率为64.81%~78.82%时,其对应的屈服平台应力为59.37~17.04 MPa.在孔隙率相同的条件下,孔形为近球形的泡沫试样,其屈服平台应力远高于孔形不规则的试样.当应变量为40%时,孔隙率为64.81%~78.82%的泡沫钢,其单位体积的能量吸收值为23.92~7.32 MJ/m³,约为泡沫铝的5~7倍.4种不同孔隙率泡沫钢样品的理想吸能效率(I)均达0.85以上,表明泡沫钢可以作为一种理想的吸能材料.     

基于AVR单片机的多舵机控制系统设计及仿真

舵机是机器人、机电系统和航模的重要执行机构;文章介绍了一种以ATmega16为核心的多舵机控制系统.利用单片机内部定时器,采用分时控制思想,用单片机实现多路PWM输出;系统的设计主要分为总体方案设计,硬件设计和软件设计部分,其中每一部分均采用模块化设计原则;系统总体设计遵循了可靠、简单、实用的原则,实验结果验证了方法的可行性和有效性,所提出的方法已经应用于多舵机的系统中.     

车辆防碰预警系统的设计

介绍了一种以ATmega16单片机为控制核心的车辆防碰预警系统,提出了解决收发一体式超声波测距电路难题的新方法;由于温度对超声波波速的影响,增加了温度补偿电路来消除误差;设计的自动增益控制(AGC)电路,有效地解决了回波信号过于微弱而导致系统测量误差加大的难题;在此基础上,设计了相应的超声波测距系统的软件;对系统进行了测试,如主要试验参数:灵敏度、测距、频率等;并将所测数据与实际数据进行了对比;结果表明,该预警系统具有较高的测量精度。     

nRF24L01在ABS试验平台上的应用

介绍了无线通信模块NRF24L01的结构和特点,设计无线通信的ABS参数测量系统,系统通过对ABS试验平台轮速进行采集,将轮速转化成频率信号,利用周期测量法测出频率,经无线通信模块NRF24L0将数据发送出去。在终端通信模块与主接收模块之间采用TDMA通信方式进行数据交互,主接收模块接收到数据传送到上位机上显示。     

智能型双电源开关控制器的设计

提出了一种以PIC16F884单片机为控制单元,以两台塑壳断路器双电源开关为控制对象的智能控制器的设计方案.介绍了控制器的工作原理和工作模式,并给出了硬件方案和软件设计思想以及抗干扰的方法.     

Robust model selection with flexible trimming

The forward search provides data-driven flexible trimming of a C_p statistic for the choice of regression models that reveals the effect of outliers on model selection. An informed robust model choice follows. Even in small samples, the statistic has a null distribution indistinguishable from an F distribution. Limits on acceptable values of the C_p statistic follow. Two examples of widely differing size are discussed. A powerful graphical tool is the generalized candlestick plot, which summarizes the information on all forward searches and on the choice of models. A comparison is made with the use of M-estimation in robust model choice.     

A leakage-aware L2 cache management technique for producer-consumer sharing in low-power chip multiprocessors

This paper proposes a novel leakage management technique for applications with producer-consumer sharing patterns. Although previous research has proposed leakage management techniques by turning off inactive cache blocks, these techniques can be further improved by exploiting the various run-time characteristics of target applications in CMPs. By exploiting particular access sequences observed in producer-consumer sharing patterns and the spatial locality of shared buffers, our technique enables a more aggressive turn-off of L2 cache blocks of these buffers. Experimental results using a CMP simulator show that our proposed technique reduces the energy consumption of on-chip L2 caches, a shared bus, and off-chip memory by up to 31.3% over the existing cache leakage power management techniques with no significant performance loss.     

On the convective nature of the instability of a front undergoing a supercritical Turing bifurcation

Fronts are traveling waves in spatially extended systems that connect two different spatially homogeneous rest states. If the rest state behind the front undergoes a supercritical Turing instability, then the front will also destabilize. On the linear level, however, the front will be only convectively unstable since perturbations will be pushed away from the front as it propagates. In other words, perturbations may grow but they can do so only behind the front. It is of interest to show that this behavior carries over to the full nonlinear system. It has been successfully done in a case study by Ghazaryan and Sandstede [A. Ghazaryan, B. Sandstede, Nonlinear convective instability of Turing-unstable fronts near onset: a case study, SIAM J. Appl. Dyn. Syst. 6 (2007) 319–347]. In the present paper, analogous results are obtained for the same system as in Ghazaryan and Sandstede (2007), but for a different parameter regime.     

General linear methods for ordinary differential equations

General linear methods were introduced as the natural generalizations of the classical Runge–Kutta and linear multistep methods. They have potential applications, especially for stiff problems. This paper discusses stiffness and emphasises the need for efficient implicit methods for the solution of stiff problems. In this context, a survey of general linear methods is presented, including recent results on methods with the inherent RK stability property.