An object is to provide a semiconductor device of which a manufacturing process is not complicated and by which cost can be suppressed, by forming a thin film transistor using an oxide semiconductor film typified by zinc oxide, and a manufacturing method thereof. For the semiconductor device, a gate electrode is formed over a substrate; a gate insulating film is formed covering the gate electrode; an oxide semiconductor film is formed over the gate insulating film; and a first conductive film and a second conductive film are formed over the oxide semiconductor film. The oxide semiconductor film has at least a crystallized region in a channel region.

Semiconductor device, and manufacturing method thereof

We present a simple and usable noise model for the raw-data of digital imaging sensors This signal-dependent noise model, which gives the pointwise standard-deviation of the noise as a function of the expectation of the pixel raw-data output, is composed of a Poissonian part, modeling the photon sensing, and Gaussian part, for the remaining stationary disturbances in the output data We further explicitly take into account the clipping of the data (over- and under-exposure), faithfully reproducing the nonlinear response of the sensor We propose an algorithm for the fully automatic estimation of the model parameters given a single noisy image Experiments with synthetic images and with real raw-data from various sensors prove the practical applicability of the method and the accuracy of the proposed model

/pdf/practical-poissonian-gaussian-noise-modeling-and-fitting-for-4cn04dppj4.pdf

Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data

Systems and methods for applying time-dependent algorithmic compensation functions to data output from a continuous analyte sensor. Some embodiments determine a time since sensor implantation and/or whether a newly initialized sensor has been used previously.

Systems and methods for processing analyte sensor data

Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena. To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.

Cyclops: In Situ Image Sensing and Interpretation in Wireless Sensor Networks

Despite their increasing sophistication, wireless sensor networks still do not exploit the most powerful of the human senses: vision. Indeed, vision provides humans with unmatched capabilities to distinguish objects and identify their importance. Our work seeks to provide sensor networks with similar capabilities by exploiting emerging, cheap, low-power and small form factor CMOS imaging technology. In fact, we can go beyond the stereo capabilities of human vision, and exploit the large scale of sensor networks to provide multiple, widely different perspectives of the physical phenomena.To this end, we have developed a small camera device called Cyclops that bridges the gap between the computationally constrained wireless sensor nodes such as Motes, and CMOS imagers which, while low power and inexpensive, are nevertheless designed to mate with resource-rich hosts. Cyclops enables development of new class of vision applications that span across wireless sensor network. We describe our hardware and software architecture, its temporal and power characteristics and present some representative applications.

http://www.kilopixel.net/publications/sensys2005.pdf

Cyclops: in situ image sensing and interpretation in wireless sensor networks

A memory device and method of making the memory device. The memory device comprises a storage transistor at a surface of a substrate. The storage transistor comprises a body portion between first and second source/drain regions, wherein the source/drain regions are regions of a first conductivity type. The storage transistor also comprises a gate structure that wraps at least partially around the body portion in at least two spatial planes. A bit line is connected to the first source/drain region and a word line is connected to the gate structure.

Oc dram cell with increased sense margin

A transistor surround gate structure and a method of forming thereof on a semiconductor assembly are described. The transistor surround gate structure is formed on a partial silicon-on-insulator in one direction and on a full silicon-on insulator in a second direction and may be scaled to 4f 2 line width for a memory array. A plurality of transistor surround gate structures are utilized as memory storage cells in various memory device applications, such as a dynamic random access memory application, a flash memory application and a single transistor memory cell is utilized in an embedded memory device application, which provide for the use of any one of the memory device applications to be used in a system.

Transistor surround gate structure with silicon-on-insulator isolation for memory cells, memory arrays, memory devices and systems and methods of forming same

The invention encompasses a method of forming a semiconductor-on-insulator construction. A substrate is provided. The substrate includes a semiconductor-containing layer over an insulative mass. The insulative mass comprises silicon dioxide. A band of material is formed within the insulative mass. The material comprises one or more of nitrogen argon, fluorine, bromine, chlorine, iodine and germanium.

Semiconductor-on-insulator constructions

Some embodiments include an integrated structure having vertically-stacked conductive levels. Upper conductive levels are memory cell levels, and a lower conductive level is a select device level. Conductively-doped semiconductor material is under the select device level. Channel material extends along the memory cell levels and the select device level, and extends into the conductively-doped semiconductor material. A region of the channel material that extends into the conductively-doped semiconductor material is a lower region of the channel material and has a vertical sidewall. Tunneling material, charge-storage material and charge-blocking material extend along the channel material and are between the channel material and the conductive levels. The tunneling material, charge-storage material and charge-blocking material are not along at least a portion of the vertical sidewall of the lower region of the channel material, and the conductively-doped semiconductor material is directly against such portion. Some embodiments include methods of forming integrated structures.

Integrated structures comprising vertical channel material and having conductively-doped semiconductor material directly against lower sidewalls of the channel material

A pixel cell having a substrate, photo-conversion device, and at least one dielectric layer over the photo-conversion device. The at least one dielectric layer includes one or more rare earth elements for amplifying the number of photons capable of being converted to charge by the photo-conversion device.

Chandra Mouli

Papers

Oc dram cell with increased sense margin

Transistor surround gate structure with silicon-on-insulator isolation for memory cells, memory arrays, memory devices and systems and methods of forming same

Semiconductor-on-insulator constructions

Integrated structures comprising vertical channel material and having conductively-doped semiconductor material directly against lower sidewalls of the channel material

Photon amplification for image sensors