Adaptation strategy for sea level rise in vulnerable areasalong China's coast

It can be seen from the calculation that the vulnerable area along China's coast in which the elevation is less than 5 m, is 143 900 km2, accounting for about 11. 3% of the total area of the 11 coastal provinces, municipalities and autonomous regions. These areas are threatened to varying extent by sea level rise. According to prediction, the relative sea level rise (including global sea level rise caused by climate change and local relative as level rise caused by vertical crust movement and ground subsidence) along China's coast will be 4～16 cm by the year 2030 with the optimum estimated value of 6～14cm. It will be 9～26 cm by the year 2050 with the optimum estimated value of 12-23 cm. And it will be 31-74 cm by the year 2100 with the optimum estimated value of 47～65 cm. The calcuation result shows that the percentage of the cost for up-grading (heightening and consolidating) sea dykes/walls in adaptation strategy in the losses of submerged areas varies from area to area: 6. 9% in the Zhujiang (Pearl) River Deta, 1. 3% ～24. 6% in the Changjiang (Yangtze) River Delta, and 0. 9%～2. 0% in the Huanghe River Delta.

Adaptive Sub-Threshold Voltage Level Control for Voltage Deviate-Domino Circuits

Leakage power and propagation delay are two significant issues found in sub-micron technology-based Complementary Metal-Oxide-Semiconductor(CMOS)-based Very Large-Scale Integration(VLSI)circuit designs.Positive Channel Metal Oxide Semiconductor(PMOS)has been replaced by Negative Channel Metal Oxide Semiconductor(NMOS)in recent years,with low dimen-sion-switching changes in order to shape the mirror of voltage comparator.NMOS is used to reduce stacking leakage as well as total exchange.Domino Logic Cir-cuit is a powerful and versatile digital programmer that gained popularity in recent years.In this study regarding Adaptive Sub Threshold Voltage Level Control Pro-blem,the researchers intend to solve the contention issues,reduce power dissipa-tion,and increase the noise immunity by proposing Adaptive Sub Threshold Voltage Level Control(ASVLC)-based domino circuit.The efficiency and effec-tiveness of the domino circuit are demonstrated through simulation results.The suggested system makes use of high-speed broad fan-gate circuits,occupies mini-mum space,and consumes meagre amount of power.The proposed circuit was validated in Cadence simulation tool at a supply voltage of 1V,frequency of 100 MHz,and an operating temperature of 27°C with 64 input OR gates.As per the simulation results,the suggested Domino Gate reduced the power dissipa-tion by 17.58 percent and improved the noise immunity by 1.21 times in compar-ison with standard domino logic circuits.

Adaptation of Foreign Labor in Russia

The article is devoted to problems of adaptation of foreign labor in Russia. The feature of approach to analysis of the problem lies in trying to examine this process at several levels： macro-level, meso-level, micro-level, and individual level. The major factors influencing adaptation of foreign labor at each level are allocated. It is assumed between foreign workers and local communities. The author considers such aspects as the relation of local communities to arrival of foreign labor, the reasons for arrival of foreign labor to Russia and features of contact of local communities with foreign workers. This position is proved by means of a case study conducted in Yekaterinburg.

Occlusion Culling Algorithm Using Prefetching and Adaptive Level of Detail Technique

A novel approach that integrates occlusion culling within the view-dependent rendering framework is proposed. The algorithm uses the prioritized-layered projection（PLP） algorithm to occlude those obscured objects, and uses an approximate visibility technique to accurately and efficiently determine which objects will be visible in the coming future and prefetch those objects from disk before they are rendered, view-dependent rendering technique provides the ability to change level of detail over the surface seamlessly and smoothly in real-time according to cell solidity value.

3D Simulation of Flow with Free Surface Based on Adaptive Octree Mesh System

The technique of adaptive tree mesh is an effective way to reduce computational cost through automatic adjustment of cell size according to necessity. In the present study, the 2D numerical N-S solver based on the adaptive quadtree mesh system was extended to a 3D one, in which a spatially adaptive oetree mesh system and multiple particle level set method were adopted for the convenience to deal with the air-water-structure multiple-medium coexisting domain. The stretching process of a dumbbell was simulated and the results indicate that the meshes are well adaptable to the free surface. The collapsing process of water column impinging a circle cylinder was simulated and from the results, it can be seen that the processes of fluid splitting and merging are properly simulated. The interaction of second-order Stokes waves with a square cylinder was simulated and the obtained drag force is consistent with the result by the Morison＇s wave force formula with the coefficient values of the stable drag component and the inertial force component bein~ set as 2.54.

Real-Time Distributed Fiber Optic Sensor for Security Systems： Performance, Event Classification and Nuisance Mitigation

The success of any perimeter intrusion detection system depends on three important performance parameters： the probability of detection （POD）, the nuisance alarm rate （NAR）, and the false alarm rate （FAR）. The most fundamental parameter, POD, is normally related to a number of factors such as the event of interest, the sensitivity of the sensor, the installation quality of the system, and the reliability of the sensing equipment. The suppression of nuisance alarms without degrading sensitivity in fiber optic intrusion detection systems is key to maintaining acceptable performance. Signal processing algorithms that maintain the POD and eliminate nuisance alarms are crucial for achieving this. In this paper, a robust event classification system using supervised neural networks together with a level crossings （LCs） based feature extraction algorithm is presented for the detection and recognition of intrusion and non-intrusion events in a fence-based fiber-optic intrusion detection system. A level crossings algorithm is also used with a dynamic threshold to suppress torrential rain-induced nuisance alarms in a fence system. Results show that rain-induced nuisance alarms can be suppressed for rainfall rates in excess of 100mm/hr with the simultaneous detection of intrusion events. The use of a level crossing based detection and novel classification algorithm is also presented for a buried pipeline fiber optic intrusion detection system for the suppression of nuisance events and discrimination of intrusion events. The sensor employed for both types of systems is a distributed bidirectional fiber-optic Mach-Zehnder （MZ） interferometer.