Archaeological Testing in the Devine Road Area North of Olmos Dam, San Antonio, Texas

During late January and early February 1978, archaeological testing was carried out in an area north of Olmos Dam, San Antonio, Texas (see Fig. 1) by personnel from the Center for Archaeological Research (CAR), The University of Texas at San Antonio. This work was performed under contract between CAR and the San Antonio River Authority. The area tested consisted of 16 acres bounded by Olmos Dam to the south, Devine Road to the west and Olmos Creek to the north and east. The objective of the testing was to determine whether any historic or prehistoric resources were present and, if so, to evaluate their significance prior to the use of the location as a borrow pit during the planned renovation of Olmos Dam. During the construction of Olmos Dam in the 1920s, a prehistoric site, 41 BX 1, was uncovered and mostly destroyed. Current testing in this area was designed to determine if any part of the site was left intact and to make recommendations for mitigation or protection. The archaeological testing was performed under the supervision of Dr. Tomas R. Hester, Director and Mr. Jack D. Eaton, Assistant Director, of CAR. The field work was directed by Cristi Assad with the assistance of Augustine Frkuska, Rebekah Halpern and Robert F. Scott. All notes, maps and materials collected are on file at the Center for Archaeological Research

Design and Optimization of a Low DC Offset in Implanted System for ENG Recording Based on Velocity Selectivity Method

The major target of this paper is the design of advance signal processing system based on minimized length of bits required for digital-to-analogy converter (DAC) for velocity selectivity recording (VSR) approach. The main application of this device is peripheral nerves recording (electroneurogram-ENG) by exploring a spectral analysis for the propagation of neural activities in the velocity domain recording using VSR in implantable application. This research adapted a flexible, compact, andnbspenergynbspefficient dc offset removal circuit. An optimization design has been used based on best possible process involving linearity and area is thus suggested. The system process acquired using this approach were characterized as having a 10-bit signal processing for DAC resolution, with 1.4 mA rms output current, with minimum size around 0.02 mm2nbspof chip area, using FPGA board as prototype design. This paper also explores the design temperature vibration in online recording minimization the output DC offset decrease the heat emission which is significantly for long term implementation applications. This study proposed an analysis circuit configuration demonstrate that this approach could achieve a small DC offset error, with small size required

Archaeological Testing In An Area South of Olmos Dam, San Antonio, Texas

During November of 1977, five days of archaeological testing were carried out by personnel from the Center for Archaeological Research, The University of Texas at San Antonio, directly south of Olmos Dam, San Antonio, Texas (see Fig. 1). The testing was done under the supervision of Dr. Thomas R. Hester, Director, and Jack D. Eaton, Assistant Director, and was performed under the terms of a contract between CAR and the San Antonio River Authority. The project conforms to the provisions outlined in the E.D.A. Special Terms and Conditions (III 3a), Grant Number 08-19-01911. Antiquities Permit #161 was obtained from the Texas Historical Commission before field work commenced

Analytical Models in Rail Transportation: An Annotated Bibliography

Not AvailableThis research has been supported, in part, by the U.S. Department of Transportation under contract DOT-TSC-1058, Transportation Advanced Research Program (TARP)

Optimal and Local Connectivity Between Neuron and Synapse Array in the Quantum Dot/Silicon Brain

This innovation is used to connect between synapse and neuron arrays using nanowire in quantum dot and metal in CMOS (complementary metal oxide semiconductor) technology to enable the density of a brain-like connection in hardware. The hardware implementation combines three technologies: 1. Quantum dot and nanowire-based compact synaptic cell (50x50 sq nm) with inherently low parasitic capacitance (hence, low dynamic power approx.l0(exp -11) watts/synapse), 2. Neuron and learning circuits implemented in 50-nm CMOS technology, to be integrated with quantum dot and nanowire synapse, and 3. 3D stacking approach to achieve the overall numbers of high density O(10(exp 12)) synapses and O(10(exp 8)) neurons in the overall system. In a 1-sq cm of quantum dot layer sitting on a 50-nm CMOS layer, innovators were able to pack a 10(exp 6)-neuron and 10(exp 10)-synapse array; however, the constraint for the connection scheme is that each neuron will receive a non-identical 10(exp 4)-synapse set, including itself, via its efficacy of the connection. This is not a fully connected system where the 100x100 synapse array only has a 100-input data bus and 100-output data bus. Due to the data bus sharing, it poses a great challenge to have a complete connected system, and its constraint within the quantum dot and silicon wafer layer. For an effective connection scheme, there are three conditions to be met: 1. Local connection. 2. The nanowire should be connected locally, not globally from which it helps to maximize the data flow by sharing the same wire space location. 3. Each synapse can have an alternate summation line if needed (this option is doable based on the simple mask creation). The 10(exp 3)x10(exp 3)-neuron array was partitioned into a 10-block, 10(exp 2)x10(exp 3)-neuron array. This building block can be completely mapped within itself (10,000 synapses to a neuron)

Operações de álgebra de mapas em sistema de informações geográficas para estimativa da aptidão agrícola das terras.

The land suitability evaluation is used to establish land zonings for agriculture. Geographic information systems (GIS) are useful for integrating different attributes necessaries to define apt and not apt lands. In tropical environment, soil fertility and water availability for cultures are very important in agricultural systems management. The present study had as main objective to describe procedures to define land suitability using GIS, soils maps, and data soils profiles data, emphasizing procedures to define fertility deficiency and water deficiency. Numerical terrain models (NTM) had been construct for cation exchange capacity, basis saturation, clay content and silt+clay content using kriging (geostatistical interpolator), and for aluminum saturation using the inverse-square-distance. Boolean operations for handling geographic fields (thematic maps and NTM) to produce information plans are describe

Maximization of Extractable Randomness in a Quantum Random-Number Generator

The generation of random numbers via quantum processes is an efficient and reliable method to obtain true indeterministic random numbers that are of vital importance to cryptographic communication and large-scale computer modeling. However, in realistic scenarios, the raw output of a quantum random-number generator is inevitably tainted by classical technical noise. The integrity of the device can be compromised if this noise is tampered with, or even controlled by some malicious party. To safeguard against this, we propose and experimentally demonstrate an approach that produces side-information independent randomness that is quantified by min-entropy conditioned on this classical noise. We present a method for maximizing the conditional min-entropy of the number sequence generated from a given quantum-to-classical-noise ratio. The detected photocurrent in our experiment is shown to have a real-time random-number generation rate of 14 (Mbit/s)/MHz. The spectral response of the detection system shows the potential to deliver more than 70 Gbit/s of random numbers in our experimental setup.Comment: 13 pages, 9 figures. v2: close to published version. See also related work arXiv:1501.0295