本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。

EMIS consists of hardware, software, and services that help in providing energy information to users such as building energy managers, financial managers, facility managers, and power utilities. The major elements of this system include hardware tools such as meters, sub-meters, and sensors and software tools such as data recording and other energy management software. As EMIS is emerging as a tool for better decision making for its users, the demand for EMISs is expected to remain moderate. EMIS can also be referred to as a systematic process for continual improvement of energy performance.

Radars consist of transmitter and receiver modules, which help in the detection of objects by transmitting and receiving radio waves. They determine speed, direction, range, and altitude of various objects. They are usually used in military applications, but with changing times and needs, the demand for their use in applications such as: remote sensing, air traffic control, law enforcement, highway security, navigation, ship safety, and space programs has emerged. Because of this increasing demand, vendors are investing more in the R&D of radar technologies.

The Global Magnetic Sensors market is expected to grow at a steady rate during the period 2013-2018. The production of magnetic sensors has recently gained momentum and demand is expected to increase during the forecast period. The market was dominated by the Americas in 2013, followed by the EMEA region and the APAC region. The overall market is expected to grow at a CAGR of 7.21 percent during the forecast period.

A digital camera is a device that captures images digitally and stores them in a digital format.Unlike an analog still camera, a digital camera does not need to record the captured image on a camera film. Digital broadcast and cinematography cameras use special lenses and highdensity sensors to capture electronic motion pictures as high-quality content. They are used by trained professionals, such as cinematographers and TV broadcasters, in the production of movies and TV broadcasts, both live and recorded.

The Orion Multi-Purpose Crew Vehicle is a new spacecraft being designed by NASA and Lockheed Martin for future crewed exploration missions. The Vision Navigation Sensor is a Flash LIDAR that will be the primary relative navigation sensor for this vehicle. To obtain a better understanding of this sensor's performance, the Orion relative navigation team has performed both flight tests and ground tests. This paper summarizes and compares the performance results from the STS-134 flight test, called the Sensor Test for Orion RelNav Risk Mitigation (STORRM) Development Test Objective, and the ground tests at the Space Operations Simulation Center.

SRI International, in collaboration with Professor Jing Shih of the University of California- Riverside (UCR), Professor Nathan Newman of Arizona State University (ASU), and Professor Edmond Nowak of the University of Delaware (UD), has been funded (from June 2009 through September 2012) through ONR Contract (N00014-09-C-0292) to fabricate a magnetic sensor with a half- metallic ferromagnet (FM) contact and polymers and demonstrate its sensing capability. In this study we considered La0.7Sr0..3MnO3 (LSMO) and CoFe50Al25Si25 (CFAS) alloys for half-metallic FM contacts and poly(3,4- ethylenedioxythiophene) (PEDOT) and poly-3(hexylthiophene) (P3HT) for polymers. Room temperature operation of this ultrasensitive device requires half-metallic ferromagnetic contacts with high Curie temperature (Tc), ultra- lowmobilitypolymer with very high doping density, nano-scale trenches, successful charge and spin injection into polymers from FM half-metal contacts, and spin precession in polymers. The FM films for vertical and lateral devices were grown at UCR and ASU, respectively. Most device fabrication was carried out at SRI, while magnetic and noise measurements were performed at ASU and UD.

We present a post-processed 6.25mm2 0.18μm Complementary Metal OxideSemiconductor (CMOS) platform that leverages the advantages of super-paramagneticbead labeling to integrate on-chip the label separation and detection functionalitiesrequired for high sensitivity bio-assays. The surfaces of the CMOS chip and of themagnetic beads are functionalized with bio-chemicals complementary to a target analyte.In a sandwich capture format, the presence of the target analyte will strongly bind 4.5μmmagnetic bead labels to the surface of the chip. The undesired background signal isminimized by the removal of the unbound magnetic beads from the detection array viamagnetic forces generated on-chip. The remaining strongly bound magnetic beads arerespectively magnetized and detected by an array of 128 stacked micro-coil/Hall sensorelements. This single chip solution does not require any external components like pumps,valves or electromagnets and is capable of detecting purified Human antibodies down toconcentrations of 100pg/ml as well as anti-Dengue antibodies in human serum samples.

Environmental conditions, cyclic loading, and aging contribute to structural wear and degradation, and thus potentially catastrophic events. The challenge of health monitoring technology is to determine incipient changes accurately and efficiently. This project addresses this challenge by developing health monitoring techniques that depend only on sensor measurements. Since actively controlled excitation is not needed, sensor-to-sensor identification (S2SID) provides an in-flight diagnostic tool that exploits ambient excitation to provide advance warning of significant changes. S2SID can subsequently be followed up by ground testing to localize and quantify structural changes. The conceptual foundation of S2SID is the notion of a pseudo-transfer function, where one sensor is viewed as the pseudo-input and another is viewed as the pseudo-output, is approach is less restrictive than transmissibility identification and operational modal analysis since no assumption is made about the locations of the sensors relative to the excitation.

Brain-controlled prostheses have the potential to improve the quality of life of a large number of paralyzed persons by allowing them to control prosthetic limbs simply by thought.An essential requirement for natural use of such neural prostheses is that the user should be provided with somatosensory feedback from the artificial limb. This can be achieved by electrically stimulating small populations of neurons in the cortex; a process known as cortical microstimulation. This dissertation describes the development of novel technologies for experimental neuroscience and their use to explore the neural and perceptual effects of cortical microstimulation in rodents.