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

There is provided a low power memory device with JFET device structures. Specifically, a low power memory device is provided that includes a plurality memory cells having a memory element and a JFET access device electrically coupled to the memory element. The memory cells may be isolated using diffusion based isolation.

Low power memory device with JFET device structures

Floating-gate memory cells having carbon nanotubes interposed between the substrate and the tunnel dielectric layer facilitate ballistic injection of charge into the floating gate. The carbon nanotubes may extend across the entire channel region or a portion of the channel region. For some embodiments, the carbon nanotubes may be concentrated near the source/drain regions. For some embodiments, the tunnel dielectric layer may adjoin the substrate in at least a portion of the channel region.

Non-volatile memory with carbon nanotubes

A memory device addressing reliability and refresh characteristics through the use of a multilayered doped conductor, and a method making are disclosed. The multilayered doped conductor creates a high dopant concentration in the active area close to the channel region. The rich dopant layer created by the multilayered doped conductor is less susceptible to depletion from trapped charges in the oxide. This improves device reliability at burn-in and lowers junction leakage, thereby providing a longer period between refresh cycles.

Multilayered doped conductor

Methods, apparatuses, and systems for providing a body connection to a vertical access device. The vertical access device may include a digit line extending along a substrate to a digit line contact pillar, a body connection line extending along the substrate to a body connection line contact pillar, a body region disposed on the body connection line, an electrode disposed on the body region, and a word line extending to form a gate to the body region. A method for operation includes applying a first voltage to the body connection line, and applying a second voltage to the word line to cause a conductive channel to form through the body region. A memory cell array may include a plurality of vertical access devices.

Vertical access device and apparatuses having a body connection line, and related method of operating the same

A barrier implanted region of a first conductivity type located below an isolation region of a pixel sensor cell and spaced from a doped region of a second conductivity type of a photodiode of the pixel sensor cell is disclosed. The barrier implanted region is formed by conducting a plurality of deep implants at different energies and doping levels below the isolation region. The deep implants reduce surface leakage and dark current and increase the capacitance of the photodiode by acting as a reflective barrier to electrons generated by light in the doped region of the second conductivity type of the photodiode.

Chandra Mouli

Papers

Low power memory device with JFET device structures

Non-volatile memory with carbon nanotubes

Multilayered doped conductor

Vertical access device and apparatuses having a body connection line, and related method of operating the same

Deep photodiode isolation process