Research & Technology Report Goddard Space Flight Center

The main theme of this edition of the annual Research and Technology Report is Mission Operations and Data Systems. Shifting from centralized to distributed mission operations, and from human interactive operations to highly automated operations is reported. The following aspects are addressed: Mission planning and operations; TDRSS, Positioning Systems, and orbit determination; hardware and software associated with Ground System and Networks; data processing and analysis; and World Wide Web. Flight projects are described along with the achievements in space sciences and earth sciences. Spacecraft subsystems, cryogenic developments, and new tools and capabilities are also discussed

Research and Technology Report. Goddard Space Flight Center

This issue of Goddard Space Flight Center's annual report highlights the importance of mission operations and data systems covering mission planning and operations; TDRSS, positioning systems, and orbit determination; ground system and networks, hardware and software; data processing and analysis; and World Wide Web use. The report also includes flight projects, space sciences, Earth system science, and engineering and materials

Selected Papers from the First International Symposium on Future ICT (Future-ICT 2019) in Conjunction with 4th International Symposium on Mobile Internet Security (MobiSec 2019)

The International Symposium on Future ICT (Future-ICT 2019) in conjunction with the 4th International Symposium on Mobile Internet Security (MobiSec 2019) was held on 17–19 October 2019 in Taichung, Taiwan. The symposium provided academic and industry professionals an opportunity to discuss the latest issues and progress in advancing smart applications based on future ICT and its relative security. The symposium aimed to publish high-quality papers strictly related to the various theories and practical applications concerning advanced smart applications, future ICT, and related communications and networks. It was expected that the symposium and its publications would be a trigger for further related research and technology improvements in this field

Goddard Conference on Mass Storage Systems and Technologies, volume 2

Papers and viewgraphs from the conference are presented. Discussion topics include the IEEE Mass Storage System Reference Model, data archiving standards, high-performance storage devices, magnetic and magneto-optic storage systems, magnetic and optical recording technologies, high-performance helical scan recording systems, and low end helical scan tape drives. Additional discussion topics addressed the evolution of the identifiable unit for processing (file, granule, data set, or some similar object) as data ingestion rates increase dramatically, and the present state of the art in mass storage technology

The Third NASA Goddard Conference on Mass Storage Systems and Technologies

This report contains copies of nearly all of the technical papers and viewgraphs presented at the Goddard Conference on Mass Storage Systems and Technologies held in October 1993. The conference served as an informational exchange forum for topics primarily relating to the ingestion and management of massive amounts of data and the attendant problems involved. Discussion topics include the necessary use of computers in the solution of today's infinitely complex problems, the need for greatly increased storage densities in both optical and magnetic recording media, currently popular storage media and magnetic media storage risk factors, data archiving standards including a talk on the current status of the IEEE Storage Systems Reference Model (RM). Additional topics addressed System performance, data storage system concepts, communications technologies, data distribution systems, data compression, and error detection and correction

Developing Computational Tools for the Study and Design of Amyloid Materials

The self-assembly of short peptides into amyloid structures is linked to several diseases but has also been exploited for the design of novel functional amyloid-based materials. Such materials are potentially biocompatible and biodegradable, while their unique molecular organization provides them with remarkable mechanical properties. Amyloid fibrils are among the stiffest biological materials and exhibit a high resistance to breakage. Apart from the aforementioned properties, they are particularly attractive due to their easy synthesis and the ability to be redesigned through mutations at sequence level, which can result in potential functionality. Previous studies have reported the rational based design of functional amyloid materials, designed through primarily scientists’ intuition, and their applications in several fields as agents for tissue-engineering, antimicrobial and antibacterial agents, drug carriers, materials for separation applications, etc. The current work starts from the use of previously reported protocols for the computational elucidation of the structure of amyloids, leading to the formation of amyloid materials, and the investigation of the functional properties of rationally designed self-assembling peptides, and introduces a new approach for the computational design of functional amyloid materials, based on engineering and biophysical principles. In summary, we developed a computational protocol according to which an optimization-based design model is used to introduce mutations at non-βsheet residue positions of an amyloid designable scaffold (amyloid with non-β-sheet forming residues at its termini). The designed amino acids are introduced to the scaffold in such a way so that they mimic how amino acids bind to particular ions/compounds of interest according to experimentally resolved structures (defined by us as materialphore models) and also aim at energetically stabilizing the bound conformation of the pockets. The optimum designs are computationally validated using a series of simulations and structural analysis techniques to select the top designed peptides, which are predicted to form fibrils with specific ion/compound binding properties for experimental testing. The computational protocol has been implemented first for the design of amyloid materials (i) binding to cesium ions, and in additional cases, for the design of amyloid materials (ii) serving as potential AD drug carriers, (iii) which could promote cell-penetration and possess DNA binding properties, and (iv) incorporating potential cell-adhesion, calcium and strontium binding properties. The computational protocol is also presented here as a step toward a generalized computational approach to design functional amyloid materials binding to an ion/compound of interest. This work can constitute a stepping stone for the functionalization of peptide/protein-based materials for several applications in the future

Data centric storage framework for an intelligent wireless sensor network

In the last decade research into Wireless Sensor Networks (WSN) has triggered extensive growth in flexible and previously difficult to achieve scientific activities carried out in the most demanding and often remote areas of the world. This success has provoked research into new WSN related challenges including finding techniques for data management, analysis, and how to gather information from large, diverse, distributed and heterogeneous data sets. The shift in focus to research into a scalable, accessible and sustainable intelligent sensor networks reflects the ongoing improvements made in the design, development, deployment and operation of WSNs. However, one of the key and prime pre-requisites of an intelligent network is to have the ability of in-network data storage and processing which is referred to as Data Centric Storage (DCS). This research project has successfully proposed, developed and implemented a comprehensive DCS framework for WSN. Range query mechanism, similarity search, load balancing, multi-dimensional data search, as well as limited and constrained resources have driven the research focus. The architecture of the deployed network, referred to as Disk Based Data Centric Storage (DBDCS), was inspired by the magnetic disk storage platter consisting of tracks and sectors. The core contributions made in this research can be summarized as: a) An optimally synchronized routing algorithm, referred to Sector Based Distance (SBD) routing for the DBDCS architecture; b) DCS Metric based Similarity Searching (DCSMSS) with the realization of three exemplar queries – Range query, K-nearest neighbor query (KNN) and Skyline query; and c) A Decentralized Distributed Erasure Coding (DDEC) algorithm that achieves a similar level of reliability with less redundancy. SBD achieves high power efficiency whilst reducing updates and query traffic, end-to-end delay, and collisions. In order to guarantee reliability and minimizing end-to-end latency, a simple Grid Coloring Algorithm (GCA) is used to derive the time division multiple access (TDMA) schedules. The GCA uses a slot reuse concept to minimize the TDMA frame length. A performance evaluation was conducted with simulation results showing that SBD achieves a throughput enhancement by a factor of two, extension of network life time by 30%, and reduced end-to-end latency. DCSMSS takes advantage of a vector distance index, called iDistance, transforming the issue of similarity searching into the problem of an interval search in one dimension. DCSMSS balances the load across the network and provides efficient similarity searching in terms of three types of queries – range query, k-query and skyline query. Extensive simulation results reveal that DCSMSS is highly efficient and significantly outperforms previous approaches in processing similarity search queries. DDEC encoded the acquired information into n fragments and disseminated across n nodes inside a sector so that the original source packets can be recovered from any k surviving nodes. A lost fragment can also be regenerated from any d helper nodes. DDEC was evaluated against 3-Way Replication using different performance matrices. The results have highlighted that the use of erasure encoding in network storage can provide the desired level of data availability at a smaller memory overhead when compared to replication

Annual Report of the University, 1988-1989, Volumes 1-5

Significant Developments During Academic Year, 1988-89 A. Approximately one man-year of effort was devoted to analysis to detect possible gender or racial/ethnic bias in faculty personnel operations at the university. This effort was required to support responses by the Counsel\\u27s office to queries put by OFCCP. B. Approval by the NMCHE of its statewide postsecondary education plan, Planning for the Class of 2005, required review of the plan by President May. P&PS provided that review plus all of the written institutional testimony. C. NMCHE developed a 16-page directive, Institutional Planning Guidelines, which required extensive input to the Commission\\u27s Planning Committee. Commissioner Taylor and the NMCHE staff resisted most of the institutional recommendations. Of some significance was the addition by NMCHE of a set of statewide issues in New Mexico higher education drafted in P&PS

Second Assessment of Climate Change for the Baltic Sea Basin

Earth System Sciences; Atmospheric Sciences; Baltic Sea; Environmental Impacts; Regional Climate Change; Regional Climate Projection