Tentative Minimum Housing Standards Ordinance for the City of Orlando, Florida

Supplement to the Comprehensive city plan, Orlando, Florida. Prepared by George W. Simons, Jr. [Jacksonville, Fla. : Simons], 1959. 3 v. -- v. 2. The neighborhood plan, parks and recreation, schools, housing

POWER 2008-60111 USING STAGED COMPRESION TO INCREASE THE SYSTEM EFFICIENCY OF A COAL BASED GAS TURBINE FUEL CELL HYBRID POWER GENERATION SYSTEM WITH CARBON CAPTURE

ABSTRACT This paper examines two coal-based hybrid configurations that employ separated anode and cathode streams for the capture and compression of CO 2 . One system uses a single compressor to compress and partially preheat the cathode air flow. The second system replaces the single compressor with a two stage compression process with an intercooler to extract heat between the stages, and to reduce the work that is required to compress the air flow in the cathode stream. Calculations are presented for both systems with and without heat recuperation. For the single compressor system with heat recuperation the hybrid system assumes the form of a recuperated Brayton cycle; when the recuperator is not present the hybrid system assumes the form of a standard Brayton cycle. The calculation results show that an increase of 2.2% in system efficiency was obtained by staging the compression for these cycles

Prediction of buried mine-like target radar signatures using wideband electromagnetic modeling

ABSTRACT Current ground penetrating radars (GPR) have been tested for land mine detection, but they have generally been costly and have poor performance. Comprehensive modeling and experimentation must be done to predict the electromagnetic (EM) signatures of mines to access the effect of clutter on the EM signature of the mine, and to understand the merit and limitations of using radar for various mine detection scenarios. This modeling can provide a basis for advanced radar design and detection techniques leading to superior performance. Lawrence Livermore National Laboratory (LLNL) has developed a radar technology that when combined with comprehensive modeling and detection methodologies could be the basis of an advanced mine detection system. Micropower Impulse Radar (MIR) technology exhibits a combination of properties, including wideband operation, extremely low power consumption, extremely small size and low cost, array configurability, and noise encoded pulse generation. LLNL is in the process of developing an "optimal" processing algorithm to use with the MIR sensor. In this paper, we use classical numerical models to obtain the signature of mine-like targets and examine the effect of surface roughness on the reconstructed signals. These results are then qualitatively compared to experimental data

What specific modes of internationalization influence SME innovation in Sub-Saharan least developed countries (LDCs)?

Small and medium sized enterprises (SMEs) located in the least developed countries (LDCs), operate in distinctively hostile institutional environments compared to those in developed economies. Better understanding of the determinants of SME innovation in such environments is important for the development of private sector in LDCs, because innovative SMEs are crucial for sustainable economic growth. Yet, determinants of SME innovation in LDCs have hardly been studied. Considering the potential relevance of internationalization for SME innovation in LDCs, as means of overcoming domestic environmental constraints, this paper investigates the influence of foreign technology licensing, exports and imports on SME innovation in LDCs. The study employs data from 1058 manufacturing SMEs from Sub-Saharan LDCs - Djibouti, Tanzania, Uganda, Zambia and the Democratic Republic of Congo. The findings suggest that foreign technology licensing is found to be positively and statistically associated with SME product and process innovations in Sub-Saharan LDCs. Findings are compared with those from developed economies in order to identify distinctive features. The implication is that SMEs in Sub-Saharan LDCs need to be supported by different policies compared to developed economies. The results also show that R&D, firm size, sectoral characteristics and access to finance are important determinants of SME innovation

Expanded access study of patients with advanced basal cell carcinoma treated with the Hedgehog pathway inhibitor, vismodegib

Background: Vismodegib, a first-in-class Hedgehog pathway inhibitor, was US Food and Drug Administration (FDA) approved for advanced basal cell carcinomas (BCCs) based on a single, nonrandomized, phase-II trial. Consequently, additional clinical data are critical to confirm the efficacy and safety of vismodegib

Norman Lymangrover [approximately 1945]

Photograph of Norman Lymangrover in his United States Navy military uniform. The photo dates around 1945. Terms associated with the photograph are: Lymangrover, Norman | Military uniforms. | Military uniforms--1940-1950. | United States. Nav

Complete Package for Computer-Automated Bridge Inspection Process

A complete package for the Automation of Bridge Inspection Process, developed by the University of Central Florida for the Florida Department of Transportation (FDOT), is presented. FDOT's Inspection Forms A, B, and C for fixed bridges only were described previously. Form A contains the Report Identification and a Condensed Inspection Report. Form B is a comprehensive List of Deficiencies. Form C contains the Evaluation of Previous Corrective Action. The recently developed complete package covers fixed, culvert, and movable bridges. In addition to the previously reported forms, the package also includes Form D, Recommendations for Corrective Actions, and an automated work order system to replace Form E, formerly entitled Methods and Quantities. The automated system comprises five commercially available software programs and 25 developed programs; divided into two components, these are referred to as the field and office systems. The field system is used to collect all field inspection data. The inspection routines are operated with the use of a notebook computer and pen-based acquisition programs. The office system is used to process field data and to produce a final inspection report established by the National Bridge Inspection Standard. The system requires a desktop computer, a scanner, and a video capture card. Any graphical data collected in the field inspection are processed by use of the video capture, scanning, and image editing techniques. Automatic work orders are generated from deficient bridge elements specified in the inspection reports. Since the completion of the project five FDOT districts have implemented the automated system. Consequently the time spent producing the final report was substantially reduced, and inspectors were able to devote more time to performing field structural inspector to help ensure the safety and welfare of the public. As published previously (1) a computer-automated system was developed for the purpose of creating a cost-effective bridge inspection program for the Florida Department of Transportation (FDOT). This preliminary system was developed for fixed bridges only, which used FDOT Inspection Forms A, B, and C. The recently completed package includes fixed, culvert, and movable bridges, an additional Form D, and an automated work order system that replaces Form E, formerly entitled Methods and Quantities. The complete package consists of 25 developed programs and five commercially available software programs (see Bridge inspection procedures require field and office work; therefore, the computer-automated system is divided into two components, referred to as the field and office systems. The field system uses a notebook computer to run field acquisition pro

In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99),

Consider the problem of monitoring the state of a complex dynamic system, and predicting its future evolution. Exact algorithms for this task typically maintain a belief state, or distribution over the states at some point in time. Unfortunately, these algorithms fail when applied to complex processes such as those represented as dynamic Bayesian networks (DBNs), as the representation of the belief state grows exponentially with the size of the process. In (Boyen & Koller 1998), we recently proposed an efficient approximate tracking algorithm that maintains an approximate belief state that has a compact representation as a set of independent factors. Its performance depends on the error introduced by approximating a belief state of this process by a factored one

World Multiconference on Systemics, Cybernetics and Informatics SCI 2001

In this paper we present a new blind separation of sources (BSS) algorithm based on second order statistics (SOS) and geometrical approaches. The new algorithm can separate multisources from their instantaneous mixtures obtained bymultisensors. In the case of p sources and p sensors, the algorithm can be decomposed into p steps: First, one should transform the mixing signals to orthogonal signals using mainly the SOS of the mixing signals. After that, one can separate the sources by using p 1 rotations and projections. The experimental studies show that the separation of two or three speechormusic signals can be obtained in relatively competitive time and that the obtained results are very satisfactory