给PC装个“监视器”

开学后，表弟把家里的电脑搬到了学校宿舍。此后，就接连不断地出现文件丢失，注册表被擅自修改及他人随意使用即时通讯工具冒名聊天等诸多问题，令人懊怄的是没任何人承认这些所为（由于某种原因，很多用户都在使用该计算机）。难道对此就只能听之任之了吗？其实，只要安装上各种专业软件，就能够实时严密监视系统，甚至可以限制其操作。在这天罗地网般的监控之下，任何“违规”之举，都逃不过“监视器”的火眼金睛。

我的“监视器”

早晨，我正做着美梦，一个温柔的声音响了起来：“丫头，起床了!”那是我的“监视器”——妈妈在说话。 “不行，我还得再睡会儿呢!”我嘴上反驳道，心里还不服气地想，都放假了，还不让人家好好睡一觉。真烦人!我不理睬“监视器”，继续蒙头大睡。

警察的现代性:双重面相的勾勒

警察的现代性是警察制度现代化、警务运行模式现代化过程的结果或属性。在警察的现代性不断展现的过程中,警察一直在为社会提供更多管理还是更多服务中摇摆、在对公众进行更多限制还是更多保护中游移。这使警察的现代性不可避免地展现“服务员”和“监视器”交叉重叠的双重面相。

How relevant are engineering samples in the management of personal dust exposure?

A directive, legislated by the South African Department of Minerals and Energy(DME) in 1997, was introduced to reduce the dust exposures of continuous miner(CM) operators to below 5 mg/m3, when measured at the operator's cab position. The focus of this paper is to review the effectiveness of observing this rule for almost two decades and discuss industry perceptions arising from the application of this rule. The results have demonstrated that the engineering sample cannot predict the personal shift dust exposure of a CM operator. Therefore, it is recommended that the engineering sampling, as currently practiced,should be reviewed with the objective to discontinue and replace it by the approved PDM3700 realtime dust monitor.

Adaptive SPC monitoring scheme for DOE-based APC

Automatic process control (APC) based on design of experiment (DOE) is a cost-efficient approach for variation reduction. The process changes both in mean and variance owing to online parameter adjustment make it hard to apply traditional SPC charts in such DOE-based APC applied process. An adaptive SPC scheme is developed, which can better track the process transitions and achieve the possible SPC run cost reduction when the process is stable. The control law of SPC parameters is designed by fully utilizing the estimation properties of the process model instead of traditionally using the data collected from the production line. An example is provided to illustrate the proposed adaptive SPC design approach.

Application on drilling parameter monitor in drilling engineering monitoring

The drilling parameter monitor is an important tool in drilling engineering applied to monitoring drilling process,carrying out scientific analysis and decision--making.Based on discussing the present development situation of the domestic and foreign drilling machine parameter monitors,the metering scheme for vehicle--loaded drilling parameter monitor was designed.By using detection system for MSP430 single--chip microcomputer(SCM) in combination with peripheral circuit such as sensors,the drilling--rig control system was obtained to detect,and for every parameter in real--time display in order to keep operating the drilling rig status.The experiment shows that the drilling parameter monitor reaches design requirements and can be applied to drilling engineering monitoring,which has characters such as simple structure,high credibility and low cost.

An chromatic dispersion monitoring method based on spectral-shift of SOA

A remnant dispersion monitoring method based on spectral-shift of SOA in high speed optical communication system with CSRZ format and single channel speed of 40 Gbit/s is proposed. The system performance can be optimized by careful choosing bandwidth and center wavelength of the optical fiber grating filter. The dynamical monitoring range is ±60 ps/nm and the monitoring precision is about 5 ps/nm. This method can be suitable for the application in dynamical dispersion compensation of high speed optical communication systems.

A novel method for tracking pedestrians from real-time video

This novel method of Pedestrian Tracking using Support Vector (PTSV) proposed for a video surveillance instrument combines the Support Vector Machine (SVM) classifier into an optic-flow based tracker. The traditional method using optical flow tracks objects by minimizing an intensity difference function between successive frames, while PTSV tracks objects by maximizing the SVM classification score. As the SVM classifier for object and non-object is pre-trained, there is need only to classify an image block as object or non-ob-ject without having to compare the pixel region of the tracked object in the previous frame. To account for large motions between successive frames we build pyramids from the support vectors and use a coarse-to-fine scan in the classification stage. To accelerate the training of SVM, a Sequential Minimal Optimization Method (SMO) is adopted. The results of using a kernel-PTSV for pedestrian tracking from real time video are shown at the end. Comparative experimental results showed that PTSV improves the reliability of tracking compared to that of traditional tracking method using optical flow.

Application of Gliding Scaffold System In Cable-Stayed Bridge Construction

Gonghe bridge is a double level cable-stayed concrete bridge with a single-cable-plane of single cable tower. Its span is 114+120 m and a whole length of 236 m. The gliding scaffold equipment is used for the first time in the long span cable-stayed bridge construction to reduce the construction time limit. In the process of construction, to make sure a safe connection among concrete objects with different ages, the single-supporting and single-suspension system is adopted before the concrete pouring. While the double-supporting and single-suspension system is applied after con- crete pouring. These construction systems with gliding scaffold equipment are first introduced in long span ca- ble-stayed bridge and presented in detail[1]. The practice shows that these gliding scaffold systems have many advan- tages over the traditional ones.

Executive Compensation and Firm Performance in Japan： The Role of Keiretsu Memberships and Bank-Appointed Monitors＊

This paper examines the relations between the disciplinary role of Japanese relationship-oriented corporate governance mechanisms, such as keiretsu memberships and bank-appointed directors, and pay for performance sensitivity in Japan. Previous studies show that pay for performance sensitivity of Japanese executive compensation is positive and almost the same as in a market-oriented system like that of the United States of America （USA）. However, previous studies do not investigate how Japanese corporate governance mechanisms like financial keiretsu ties and bank-appointed directors affect pay for performance sensitivity. This paper finds that the disciplinary mechanism of keiretsu memberships and bank-appointed monitors did not function well in Japan in the 1990s.

Effects of thermal transport properties on temperature distribution within silicon wafer

A combined conduction and radiation heat transfer model was used to simulate the heat transfer within wafer and investigate the effect of thermal transport properties on temperature non-uniformity within wafer surface. It is found that the increased conductivities in both doped and undoped regions help reduce the temperature difference across the wafer surface. However, the doped layer conductivity has little effect on the overall temperature distribution and difference. The temperature level and difference on the top surface drop suddenly when absorption coefficient changes from 104 to 103 m-1. When the absorption coefficient is less or equal to 103 m-1, the temperature level and difference do not change much. The emissivity has the dominant effect on the top surface temperature level and difference. Higher surface emissivity can easily increase the temperature level of the wafer surface. After using the improved property data, the overall temperature level reduces by about 200 K from the basis case. The results will help improve the current understanding of the energy transport in the rapid thermal processing and the wafer temperature monitor and control level.

Research and application on wireless remote measurement system of drill hydrology

The configuration, function, principle of operation and the main design of the wireless remote measurement system of drill hydrology based on GPRS were introduced in this paper. The current resources of GPIRS network was used by the system, and water level, water temperature and turbidity were measured by the intelligent sensors. Then the data were transmitted to the monitoring computer by the GPRS modem in wireless, which processed the data, forecasted and predicted water disaster. The monitoring computer software has the Chinese operation interface in the windows circumstance with simple and convenience using. The managers can operate every function by the Chinese cue. The data communications between the remote indicating instrument distributing in every drill and the monitoring computer is built only by one monitoring computer. The technology of data collection, GPRS wireless communication, computer, data processing, database were collected by the system, some functions such as real time supervising, early-warning, decision-making supporting, and so on had been achieved. The system has such merits as high precision, low cost, flexible distributing, credible transmitting and simple operation.

The Need for Nile River Vessel Traffic Services （NVTS）

Rivers are the basic natural resources for various human activities. For that reason, the river banks have encouraged pioneers to construct their new towns. River transport has always been of vital importance for the economy of various nations. This could be done fhrough descriptive and analytic navigation in rivers and navigation at sea specially in confined waters. Vessel traffic services （VTS） system deals with managing ship traffic and suggesting best routes for vessels at busy and confined waters. Nile traffic service （NTS） as a Nile traffic monitoring system established by rivers protective authorities, can be alike to VTS maximum economic returns coming from fiver routes can be recognized with assistance of Nile traffic services which keep significant river information available for all users at all times. It also helps keep waters safer and more controlled by detecting illegal cargo activities the paper aims to re-plan River Nile for using in navigation and transportation due to its significant importance for a country like Egypt.

Feasibility of using pedometers in a state-based surveillance system：2014 Arizona Behavioral Risk Factor Surveillance System

Background: Despite their utility in accessing ambulatory movement, pedometers have not been used consistently to monitor physical activity in U.S. surveillance systems. This study was designed to determine the feasibility of using pedometers to assess daily steps taken in a sub-sample of adults from Maricopa County who completed the 2014 Arizona Behavioral Risk Factor Surveillance System Survey.Methods: Respondents were sent an Omron HJ324 U pedometer, a logbook to record steps taken, and a walking questionnaire. The pedometer was worn for 7 days. Feasibility was assessed for acceptability(interest in study), demand(procedures followed correctly), implementation(time to complete study), and practicality(cost).Results: Acceptability was modest with 23.9%(830/3476) agreeing to participate. Among those participating(92.9%; 771/830), 50.1%(386/771)returned the logbook. Demand was modest with 39.3%(303/771) of logbooks returned with valid data. Implementation represented 5 months to recruit participants. The cost to obtain valid step-count data was USD61.60 per person. An average of 6363 ± 3049 steps/day were taken with most participants classified as sedentary(36.0%) or low active(35.6%).Conclusion: The feasibility of using pedometers in a state-based surveillance system is modest at best. Feasibility may potentially be improved with easy-to-use pedometers where data can be electronically downloaded.

ADS-B Anomaly Data Detection Model Based on Deep Learning and Difference of Gaussian Approach

Due to the influence of terrain structure,meteorological conditions and various factors,there are anomalous data in automatic dependent surveillance-broadcast(ADS-B)message.The ADS-B equipment can be used for positioning of general aviation aircraft.Aim to acquire the accurate position information of aircraft and detect anomaly data,the ADS-B anomaly data detection model based on deep learning and difference of Gaussian(DoG)approach is proposed.First,according to the characteristic of ADS-B data,the ADS-B position data are transformed into the coordinate system.And the origin of the coordinate system is set up as the take-off point.Then,based on the kinematic principle,the ADS-B anomaly data can be removed.Moreover,the details of the ADS-B position data can be got by the DoG approach.Finally,the long short-term memory(LSTM)neural network is used to optimize the recurrent neural network(RNN)with severe gradient reduction for processing ADS-B data.The position data of ADS-B are reconstructed by the sequence to sequence(seq2seq)model which is composed of LSTM neural network,and the reconstruction error is used to detect the anomalous data.Based on the real flight data of general aviation aircraft,the simulation results show that the anomaly data can be detected effectively by the proposed method of reconstructing ADS-B data with the seq2seq model,and its running time is reduced.Compared with the RNN,the accuracy of anomaly detection is increased by 2.7%.The performance of the proposed model is better than that of the traditional anomaly detection models.

High Voltage Breaker Current Monitoring and FaultDiagnosis System Based on Fiber Current Sensor

Abstract: The current measuring principle, the hardware structure and the software functions of a high voltage breaker current monitoring and fault diagnosis system are introduced. A simple algorithm for calculating the current effective value is given. The cut - off characteristics of the breaker are classified. This system can provide a foundation for reasonably determining the breaker service period.

“不明飞行物”窥探东亚

美国为了加强对亚太地区的控制，对东亚地区大搞监视，窃听活动。今年4月，外国媒体披露，美研制并投入使用太阳能驱动侦察飞机频繁对中国、朝鲜、俄罗斯等国进行侦察。

An Improved Sensor Fault Diagnosis Scheme Based on TA-LSSVM and ECOC-SVM

Monitoring the operational state of sensors promptly and the accurate diagnosis of faults are essential. This paper proposes an improved fault diagnosis scheme for sensors, which includes both fault detection and fault identification. Firstly, trend analysis combined with least squares support vector machine（TA-LSSVM） method is proposed and implemented to detect faults. Secondly, an improved error correcting output coding-support vector machine（ECOC-SVM） based fault identification method is proposed to distinguish different sensor failure modes. To demonstrate the effectiveness of the proposed scheme, experiments are conducted with an MTi-series sensor, and some comparisons are made with other fault identification methods. The experimental results demonstrate that the proposed fault diagnosis scheme offers an essential improvement with detection real-time property and better identification accuracy.

AUV Based Source Seeking with Estimated Gradients

This paper addresses the source seeking problems for an autonomous underwater vehicle（AUV） with the estimated gradients. The AUV is embedded with multiple sensors, which are only able to detect the signal strengths of the source with unknown distribution. To resolve this challenge,a sensor configuration is explicitly designed as a semicircle to estimate gradients of the signal field.Then, a controller is obtained via the estimated gradients to drive the AUV to approach the source.Moreover, an upper bound for the localization error is provided in terms of the radius of the semicircle and the signal distribution. Finally, the authors include a simulation example by applying the strategy to a Remote Environmental Monitoring Unit S（REMUS） for seeking the deepest point of a region of seabed in the South China Sea.

FBG Stress-Sensibilized Monitor for Railway Switch Pole On-Line Monitoring

The fiber Bragg grating （FBG） sensing technology is used to dynamically monitor multiple parameters of railway switch machine poles, including time of movement, direction and quantity of loading and locking force, and states of loading resistance. This paper presents the design and implementation of a railway switch pole strain on-line monitoring system based on the FBG stress-sensibilized monitor for a Siemens S700K switch machine. The ring shape FBG strain gauge and stress-sensibilized methods significantly increased the monitoring sensitivity. Installing approaches adapted the harsh environment in the railway application. The monitoring results showed the high sensitivity and high reliability of this monitoring system. This application provides a long-term and on-line detecting method which could meet railway switch condition monitoring demands of more than 100,000 switch machines in the country.