Finding 'Evidence of Absence' in Medical Notes: Using NLP for Clinical Inferencing.

Science.gov (United States)

Carter, Marjorie E; Divita, Guy; Redd, Andrew; Rubin, Michael A; Samore, Matthew H; Gupta, Kalpana; Trautner, Barbara W; Gundlapalli, Adi V

2016-01-01

Extracting evidence of the absence of a target of interest from medical text can be useful in clinical inferencing. The purpose of our study was to develop a natural language processing (NLP) pipelineto identify the presence of indwelling urinary catheters from electronic medical notes to aid in detection of catheter-associated urinary tract infections (CAUTI). Finding clear evidence that a patient does not have an indwelling urinary catheter is useful in making a determination regarding CAUTI. We developed a lexicon of seven core concepts to infer the absence of a urinary catheter. Of the 990,391 concepts extractedby NLP from a large corpus of 744,285 electronic medical notes from 5589 hospitalized patients, 63,516 were labeled as evidence of absence.Human review revealed three primary causes for false negatives. The lexicon and NLP pipeline were refined using this information, resulting in outputs with an acceptable false positive rate of 11%.

Speaker recognition through NLP and CWT modeling.

Energy Technology Data Exchange (ETDEWEB)

Brown-VanHoozer, A.; Kercel, S. W.; Tucker, R. W.

1999-06-23

The objective of this research is to develop a system capable of identifying speakers on wiretaps from a large database (>500 speakers) with a short search time duration (<30 seconds), and with better than 90% accuracy. Much previous research in speaker recognition has led to algorithms that produced encouraging preliminary results, but were overwhelmed when applied to populations of more than a dozen or so different speakers. The authors are investigating a solution to the ''huge population'' problem by seeking two completely different kinds of characterizing features. These features are extracted using the techniques of Neuro-Linguistic Programming (NLP) and the continuous wavelet transform (CWT). NLP extracts precise neurological, verbal and non-verbal information, and assimilates the information into useful patterns. These patterns are based on specific cues demonstrated by each individual, and provide ways of determining congruency between verbal and non-verbal cues. The primary NLP modalities are characterized through word spotting (or verbal predicates cues, e.g., see, sound, feel, etc.) while the secondary modalities would be characterized through the speech transcription used by the individual. This has the practical effect of reducing the size of the search space, and greatly speeding up the process of identifying an unknown speaker. The wavelet-based line of investigation concentrates on using vowel phonemes and non-verbal cues, such as tempo. The rationale for concentrating on vowels is there are a limited number of vowels phonemes, and at least one of them usually appears in even the shortest of speech segments. Using the fast, CWT algorithm, the details of both the formant frequency and the glottal excitation characteristics can be easily extracted from voice waveforms. The differences in the glottal excitation waveforms as well as the formant frequency are evident in the CWT output. More significantly, the CWT reveals significant

Investigating the Effects of Repeated Reading and NLP : Language Patterns on Reading Rate

OpenAIRE

Ben, Backwell; Brian, Cullen

2018-01-01

This paper investigates EFL student reading speed and describes a quasi-experimental study that attempted to quantify the effects of repeated reading and the use of NLP language patterns in the instructions. An experimental group (n=30) and a control group (n=30) carried out the same timed reading activity three times each lesson for five lessons. The instructions for the experimental group included NLP language patterns designed to promote faster reading. It was shown that the repeated readi...

An NLP-Based Programme for Developing EFL Student-Teachers ...

African Journals Online (AJOL)

An NLP-Based Programme for Developing EFL Student-Teachers' Motivational Language. ... teaching of motivational language by using influential hypnotic language patterns should be integrated into EFL pre-service teacher training curricula. Keywords: Motivational language, Neuro-linguistic Programming, Milton Model ...

The Effect of Neuro-Linguistic Programming (NLP) on Reading Comprehension in English for Specific Purposes Courses

Science.gov (United States)

Farahani, Fahimeh

2018-01-01

Neuro-Linguistic Programming (NLP) has potential to help language learners; however, it has received scant attention. The present study was an attempt to investigate the effect of NLP techniques on reading comprehension of English as a Foreign Language (EFL) learners at an English for Specific Purposes (ESP) course. To achieve this goal, two…

The Effect of Neuro-Linguistic Programming (NLP on Reading Comprehension in English for Specific Purposes Courses

Directory of Open Access Journals (Sweden)

Fahimeh Farahani

2018-01-01

Full Text Available Neuro-Linguistic Programming (NLP has potential to help language learners; however, it has received scant attention. The present study was an attempt to investigate the effect of NLP techniques on reading comprehension of English as a Foreign Language (EFL learners at an English for Specific Purposes (ESP course. To achieve this goal, two intact classes of students were selected to form an experimental group (n=30 and a control group (n=30. A reading pretest (based on the course content was given to all participants. The sensory learning styles of the participants were diagnosed using Reid's (1987 leaning style questionnaire, and the participants in the experimental group were familiarized with NLP techniques to be able to implement these techniques in their reading. In the control group, the conventional approach to teach ESP reading was used. Considering the analysis of posttest results through ANCOVA, it was found that implementation of NLP techniques can have significant effect on reading comprehension of Iranian undergraduate EFL learners. Pedagogical implications are discussed.

NLP model and stochastic multi-start optimization approach for heat exchanger networks

International Nuclear Information System (INIS)

Núñez-Serna, Rosa I.; Zamora, Juan M.

2016-01-01

Highlights: • An NLP model for the optimal design of heat exchanger networks is proposed. • The NLP model is developed from a stage-wise grid diagram representation. • A two-phase stochastic multi-start optimization methodology is utilized. • Improved network designs are obtained with different heat load distributions. • Structural changes and reductions in the number of heat exchangers are produced. - Abstract: Heat exchanger network synthesis methodologies frequently identify good network structures, which nevertheless, might be accompanied by suboptimal values of design variables. The objective of this work is to develop a nonlinear programming (NLP) model and an optimization approach that aim at identifying the best values for intermediate temperatures, sub-stream flow rate fractions, heat loads and areas for a given heat exchanger network topology. The NLP model that minimizes the total annual cost of the network is constructed based on a stage-wise grid diagram representation. To improve the possibilities of obtaining global optimal designs, a two-phase stochastic multi-start optimization algorithm is utilized for the solution of the developed model. The effectiveness of the proposed optimization approach is illustrated with the optimization of two network designs proposed in the literature for two well-known benchmark problems. Results show that from the addressed base network topologies it is possible to achieve improved network designs, with redistributions in exchanger heat loads that lead to reductions in total annual costs. The results also show that the optimization of a given network design sometimes leads to structural simplifications and reductions in the total number of heat exchangers of the network, thereby exposing alternative viable network topologies initially not anticipated.

A Cross-Platform Infrastructure for Scalable Runtime Application Performance Analysis

Energy Technology Data Exchange (ETDEWEB)

Jack Dongarra; Shirley Moore; Bart Miller, Jeffrey Hollingsworth; Tracy Rafferty

2005-03-15

The purpose of this project was to build an extensible cross-platform infrastructure to facilitate the development of accurate and portable performance analysis tools for current and future high performance computing (HPC) architectures. Major accomplishments include tools and techniques for multidimensional performance analysis, as well as improved support for dynamic performance monitoring of multithreaded and multiprocess applications. Previous performance tool development has been limited by the burden of having to re-write a platform-dependent low-level substrate for each architecture/operating system pair in order to obtain the necessary performance data from the system. Manual interpretation of performance data is not scalable for large-scale long-running applications. The infrastructure developed by this project provides a foundation for building portable and scalable performance analysis tools, with the end goal being to provide application developers with the information they need to analyze, understand, and tune the performance of terascale applications on HPC architectures. The backend portion of the infrastructure provides runtime instrumentation capability and access to hardware performance counters, with thread-safety for shared memory environments and a communication substrate to support instrumentation of multiprocess and distributed programs. Front end interfaces provides tool developers with a well-defined, platform-independent set of calls for requesting performance data. End-user tools have been developed that demonstrate runtime data collection, on-line and off-line analysis of performance data, and multidimensional performance analysis. The infrastructure is based on two underlying performance instrumentation technologies. These technologies are the PAPI cross-platform library interface to hardware performance counters and the cross-platform Dyninst library interface for runtime modification of executable images. The Paradyn and KOJAK

Climate change and infrastructure performance: should we worry about?

NARCIS (Netherlands)

Oslakovic, I.; Maat, ter H.W.; Hartmann, A.; Dewulf, G.

2012-01-01

Although it has been known for a while that climate-related factors account for the performance development of infrastructure, it remains difficult for infrastructure manager to estimate the effect of the anticipated climate change. The impact of climate factors differs very much between

Lithium NLP: A System for Rich Information Extraction from Noisy User Generated Text on Social Media

OpenAIRE

Bhargava, Preeti; Spasojevic, Nemanja; Hu, Guoning

2017-01-01

In this paper, we describe the Lithium Natural Language Processing (NLP) system - a resource-constrained, high- throughput and language-agnostic system for information extraction from noisy user generated text on social media. Lithium NLP extracts a rich set of information including entities, topics, hashtags and sentiment from text. We discuss several real world applications of the system currently incorporated in Lithium products. We also compare our system with existing commercial and acad...

NLP and the Humanities: The Revival of an Old Liaison

NARCIS (Netherlands)

de Jong, Franciska M.G.

This paper presents an overview of some emerging trends in the application of NLP in the domain of the so-called Digital Humanities and discusses the role and nature of metadata, the annotation layer that is so characteristic of documents that play a role in the scholarly practises of the

The Effects of Clinical Hypnosis versus Neurolinguistic Programming (NLP before External Cephalic Version (ECV: A Prospective Off-Centre Randomised, Double-Blind, Controlled Trial

Directory of Open Access Journals (Sweden)

Joscha Reinhard

2012-01-01

Full Text Available Objective. To examine the effects of clinical hypnosis versus NLP intervention on the success rate of ECV procedures in comparison to a control group. Methods. A prospective off-centre randomised trial of a clinical hypnosis intervention against NLP of women with a singleton breech fetus at or after 370/7 (259 days weeks of gestation and normal amniotic fluid index. All 80 participants heard a 20-minute recorded intervention via head phones. Main outcome assessed was success rate of ECV. The intervention groups were compared with a control group with standard medical care alone (=122. Results. A total of 42 women, who received a hypnosis intervention prior to ECV, had a 40.5% (=17, successful ECV, whereas 38 women, who received NLP, had a 44.7% (=17 successful ECV (>0.05. The control group had similar patient characteristics compared to the intervention groups (>0.05. In the control group (=122 27.3% (=33 had a statistically significant lower successful ECV procedure than NLP (=0.05 and hypnosis and NLP (=0.03. Conclusions. These findings suggest that prior clinical hypnosis and NLP have similar success rates of ECV procedures and are both superior to standard medical care alone.

The Effects of Clinical Hypnosis versus Neurolinguistic Programming (NLP) before External Cephalic Version (ECV): A Prospective Off-Centre Randomised, Double-Blind, Controlled Trial.

Science.gov (United States)

Reinhard, Joscha; Peiffer, Swati; Sänger, Nicole; Herrmann, Eva; Yuan, Juping; Louwen, Frank

2012-01-01

Objective. To examine the effects of clinical hypnosis versus NLP intervention on the success rate of ECV procedures in comparison to a control group. Methods. A prospective off-centre randomised trial of a clinical hypnosis intervention against NLP of women with a singleton breech fetus at or after 37(0/7) (259 days) weeks of gestation and normal amniotic fluid index. All 80 participants heard a 20-minute recorded intervention via head phones. Main outcome assessed was success rate of ECV. The intervention groups were compared with a control group with standard medical care alone (n = 122). Results. A total of 42 women, who received a hypnosis intervention prior to ECV, had a 40.5% (n = 17), successful ECV, whereas 38 women, who received NLP, had a 44.7% (n = 17) successful ECV (P > 0.05). The control group had similar patient characteristics compared to the intervention groups (P > 0.05). In the control group (n = 122) 27.3% (n = 33) had a statistically significant lower successful ECV procedure than NLP (P = 0.05) and hypnosis and NLP (P = 0.03). Conclusions. These findings suggest that prior clinical hypnosis and NLP have similar success rates of ECV procedures and are both superior to standard medical care alone.

Procurement of complex performance in public infrastructure: a process perspective

OpenAIRE

Hartmann, Andreas; Roehrich, Jens; Davies, Andrew; Frederiksen, Lars; Davies, J.; Harrington, T.; Kirkwood, D.; Holweg, M.

2011-01-01

The paper analyzes the process of transitioning from procuring single products and services to procuring complex performance in public infrastructure. The aim is to examine the change in the interactions between buyer and supplier, the emergence of value co-creation and the capability development during the transition process. Based on a multiple, longitudinal case study the paper proposes three generic transition stages towards increased performance and infrastructural complexity. These stag...

Discovery of nitrate-CPK-NLP signalling in central nutrient-growth networks

Science.gov (United States)

Liu, Kun-hsiang; Niu, Yajie; Konishi, Mineko; Wu, Yue; Du, Hao; Sun Chung, Hoo; Li, Lei; Boudsocq, Marie; McCormack, Matthew; Maekawa, Shugo; Ishida, Tetsuya; Zhang, Chao; Shokat, Kevan; Yanagisawa, Shuichi; Sheen, Jen

2018-01-01

Nutrient signalling integrates and coordinates gene expression, metabolism and growth. However, its primary molecular mechanisms remain incompletely understood in plants and animals. Here we report novel Ca2+ signalling triggered by nitrate with live imaging of an ultrasensitive biosensor in Arabidopsis leaves and roots. A nitrate-sensitized and targeted functional genomic screen identifies subgroup III Ca2+-sensor protein kinases (CPKs) as master regulators orchestrating primary nitrate responses. A chemical switch with the engineered CPK10(M141G) kinase enables conditional analyses of cpk10,30,32 to define comprehensive nitrate-associated regulatory and developmental programs, circumventing embryo lethality. Nitrate-CPK signalling phosphorylates conserved NIN-LIKE PROTEIN (NLP) transcription factors (TFs) to specify reprogramming of gene sets for downstream TFs, transporters, N-assimilation, C/N-metabolism, redox, signalling, hormones, and proliferation. Conditional cpk10,30,32 and nlp7 similarly impair nitrate-stimulated system-wide shoot growth and root establishment. The nutrient-coupled Ca2+ signalling network integrates transcriptome and cellular metabolism with shoot-root coordination and developmental plasticity in shaping organ biomass and architecture. PMID:28489820

Insights into Substrate Specificity of NlpC/P60 Cell Wall Hydrolases Containing Bacterial SH3 Domains

Energy Technology Data Exchange (ETDEWEB)

Xu, Qingping; Mengin-Lecreulx, Dominique; Liu, Xueqian W.; Patin, Delphine; Farr, Carol L.; Grant, Joanna C.; Chiu, Hsiu-Ju; Jaroszewski, Lukasz; Knuth, Mark W.; Godzik, Adam; Lesley, Scott A.; Elsliger, Marc-André; Deacon, Ashley M.; Wilson, Ian A.

2015-09-15

Bacterial SH3 (SH3b) domains are commonly fused with papain-like Nlp/P60 cell wall hydrolase domains. To understand how the modular architecture of SH3b and NlpC/P60 affects the activity of the catalytic domain, three putative NlpC/P60 cell wall hydrolases were biochemically and structurally characterized. These enzymes all have γ-d-Glu-A₂pm (A₂pm is diaminopimelic acid) cysteine amidase (ordl-endopeptidase) activities but with different substrate specificities. One enzyme is a cell wall lysin that cleaves peptidoglycan (PG), while the other two are cell wall recycling enzymes that only cleave stem peptides with an N-terminall-Ala. Their crystal structures revealed a highly conserved structure consisting of two SH3b domains and a C-terminal NlpC/P60 catalytic domain, despite very low sequence identity. Interestingly, loops from the first SH3b domain dock into the ends of the active site groove of the catalytic domain, remodel the substrate binding site, and modulate substrate specificity. Two amino acid differences at the domain interface alter the substrate binding specificity in favor of stem peptides in recycling enzymes, whereas the SH3b domain may extend the peptidoglycan binding surface in the cell wall lysins. Remarkably, the cell wall lysin can be converted into a recycling enzyme with a single mutation.

IMPORTANCEPeptidoglycan is a meshlike polymer that envelops the bacterial plasma membrane and bestows structural integrity. Cell wall lysins and recycling enzymes are part of a set of lytic enzymes that target covalent bonds connecting the amino acid and amino sugar building blocks of the PG network. These hydrolases are involved in processes such as cell growth and division, autolysis, invasion, and PG turnover and recycling. To avoid cleavage of unintended substrates, these enzymes have very selective substrate specificities. Our biochemical and structural

The Impacts of Port Infrastructure and Logistics Performance on Economic Growth

DEFF Research Database (Denmark)

Munim, Ziaul Haque; Schramm, Hans-Joachim

2018-01-01

Considering 91 countries with seaports, this study conducted an empirical inquiry into the broader economic contribution of seaborne trade, from a port infrastructure quality and logistics performance perspective. Investment in quality improvement of port infrastructure and its contribution to ec...

A General Purpose High Performance Linux Installation Infrastructure

International Nuclear Information System (INIS)

Wachsmann, Alf

2002-01-01

With more and more and larger and larger Linux clusters, the question arises how to install them. This paper addresses this question by proposing a solution using only standard software components. This installation infrastructure scales well for a large number of nodes. It is also usable for installing desktop machines or diskless Linux clients, thus, is not designed for cluster installations in particular but is, nevertheless, highly performant. The infrastructure proposed uses PXE as the network boot component on the nodes. It uses DHCP and TFTP servers to get IP addresses and a bootloader to all nodes. It then uses kickstart to install Red Hat Linux over NFS. We have implemented this installation infrastructure at SLAC with our given server hardware and installed a 256 node cluster in 30 minutes. This paper presents the measurements from this installation and discusses the bottlenecks in our installation

The Impact of Airport Performance towards Construction and Infrastructure Expansion in Indonesia

Science.gov (United States)

Laksono, T. D.; Kurniasih, N.; Hasyim, C.; Setiawan, M. I.; Ahmar, A. S.

2018-01-01

Development that is generated from airport areas includes construction and infrastructure development. This research reviews about how the implementation of material management in certain construction project and the relationship between development especially construction and infrastructure development with Airport Performance. The method that is used in this research is mixed method. The population in this research is 297 airports that are existed in Indonesia. From those 297 airports then it is chosen airports that have the most completed data about construction project and it is obtained 148 airports. Based on the coefficient correlation (R) test it is known that construction and infrastructure development has relatively strong relation with airport performance variable, but there are still other factors that influence construction and infrastructure development become bigger effect.

Canary: An NLP Platform for Clinicians and Researchers.

Science.gov (United States)

Malmasi, Shervin; Sandor, Nicolae L; Hosomura, Naoshi; Goldberg, Matt; Skentzos, Stephen; Turchin, Alexander

2017-05-03

Information Extraction methods can help discover critical knowledge buried in the vast repositories of unstructured clinical data. However, these methods are underutilized in clinical research, potentially due to the absence of free software geared towards clinicians with little technical expertise. The skills required for developing/using such software constitute a major barrier for medical researchers wishing to employ these methods. To address this, we have developed Canary, a free and open-source solution designed for users without natural language processing (NLP) or software engineering experience. It was designed to be fast and work out of the box via a user-friendly graphical interface.

Novel Use of Natural Language Processing (NLP to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid

Directory of Open Access Journals (Sweden)

Benjamin L. Cook

2016-01-01

Full Text Available Natural language processing (NLP and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12. Predictor variables included structured items (e.g., relating to sleep and well-being and responses to one unstructured question, “how do you feel today?” We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4 were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Science.gov (United States)

Cook, Benjamin L; Progovac, Ana M; Chen, Pei; Mullin, Brian; Hou, Sherry; Baca-Garcia, Enrique

2016-01-01

Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants responded to structured mental and physical health instruments at multiple follow-up points. Outcome variables of interest were suicidal ideation and psychiatric symptoms (GHQ-12). Predictor variables included structured items (e.g., relating to sleep and well-being) and responses to one unstructured question, "how do you feel today?" We compared NLP-based models using the unstructured question with logistic regression prediction models using structured data. The PPV, sensitivity, and specificity for NLP-based models of suicidal ideation were 0.61, 0.56, and 0.57, respectively, compared to 0.73, 0.76, and 0.62 of structured data-based models. The PPV, sensitivity, and specificity for NLP-based models of heightened psychiatric symptoms (GHQ-12 ≥ 4) were 0.56, 0.59, and 0.60, respectively, compared to 0.79, 0.79, and 0.85 in structured models. NLP-based models were able to generate relatively high predictive values based solely on responses to a simple general mood question. These models have promise for rapidly identifying persons at risk of suicide or psychological distress and could provide a low-cost screening alternative in settings where lengthy structured item surveys are not feasible.

Performance Risks Allocation in Bot Infrastructure in Nigeria: A Case Study of Lagos Infrastructure Project

Directory of Open Access Journals (Sweden)

Sanni Gabriel A.

2017-08-01

Full Text Available The study assessed allocation, criteria and allotment effectiveness of performance risks in Build- Operate-Transfer (BOT transportation infrastructure in Nigeria using Lagos Infrastructure Project (LIP as a case study. LIP is the only BOT-procured tolled road that has attained ‘operate’ stage of BOT cycle in Nigeria. It revealed that more operating risks were actually allocated to the concessionaire than the grantor and most of the risks were preferred retained by the allottee. Significant fraction of the risks was effectively allocated between the concessionaire and grantor except those that involve close interface between participants. While grantor rated nine risks high and seven risks very high; the concessionaire assessed nine risks to be high and five risks to be very high; the grantor rated the effectiveness level to be seventy three per cent and the concessionaire assessed it to be sixty four per cent. The study recommended that the evolving knowledge from Lagos Infrastructure Project (LIP should be documented to guide future BOT transactions in Nigeria.

Procuring complex performance:case: public infrastructure projects

OpenAIRE

Leppänen, T. (Tero)

2015-01-01

Abstract This research studies procuring complex performance (PCP) in the case of public infrastructure projects. Focus of the research is on the interface between public clients and private sector contractors. Purpose of this research is to find out what are the main challenges of different project delivery methods according to literature (RQ1) and what are the practical challenges of public procurement (RQ2). As an end re...

The impact of Knowledge Management Infrastructure on Performance Effectiveness in Jordanian Organizations

Directory of Open Access Journals (Sweden)

Nasser Mohammad Soud Jaradat, Dr.

2014-06-01

Full Text Available This study aims to determine the impact of knowledge management infrastructure on the performance effectiveness of the Jordanian organizations that need knowledge to perform their work and tasks. The study sample includes some public and private organizations working in Jordan and dealing with the knowledge subjects. The findings indicated that there was a strong effect for knowledge management infrastructure on the performance effectiveness. Organizations should establish knowledge directorates to discover and transmit knowledge to workers with a view to improve the creativeness and distinctiveness of organizations.

Post Construction Green Infrastructure Performance Monitoring Parameters and Their Functional Components

Directory of Open Access Journals (Sweden)

Thewodros K. Geberemariam

2016-12-01

Full Text Available Drainage system infrastructures in most urbanized cities have reached or exceeded their design life cycle and are characterized by running with inadequate capacity. These highly degraded infrastructures are already overwhelmed and continued to impose a significant challenge to the quality of water and ecological systems. With predicted urban growth and climate change the situation is only going to get worse. As a result, municipalities are increasingly considering the concept of retrofitting existing stormwater drainage systems with green infrastructure practices as the first and an important step to reduce stormwater runoff volume and pollutant load inputs into combined sewer systems (CSO and wastewater facilities. Green infrastructure practices include an open green space that can absorb stormwater runoff, ranging from small-scale naturally existing pocket of lands, right-of-way bioswales, and trees planted along the sidewalk as well as large-scale public parks. Despite the growing municipalities’ interest to retrofit existing stormwater drainage systems with green infrastructure, few studies and relevant information are available on their performance and cost-effectiveness. Therefore, this paper aims to help professionals learn about and become familiar with green infrastructure, decrease implementation barriers, and provide guidance for monitoring green infrastructure using the combination of survey questionnaires, meta-narrative and systematic literature review techniques.

Direct transcriptional activation of BT genes by NLP transcription factors is a key component of the nitrate response in Arabidopsis.

Science.gov (United States)

Sato, Takeo; Maekawa, Shugo; Konishi, Mineko; Yoshioka, Nozomi; Sasaki, Yuki; Maeda, Haruna; Ishida, Tetsuya; Kato, Yuki; Yamaguchi, Junji; Yanagisawa, Shuichi

2017-01-29

Nitrate modulates growth and development, functioning as a nutrient signal in plants. Although many changes in physiological processes in response to nitrate have been well characterized as nitrate responses, the molecular mechanisms underlying the nitrate response are not yet fully understood. Here, we show that NLP transcription factors, which are key regulators of the nitrate response, directly activate the nitrate-inducible expression of BT1 and BT2 encoding putative scaffold proteins with a plant-specific domain structure in Arabidopsis. Interestingly, the 35S promoter-driven expression of BT2 partially rescued growth inhibition caused by reductions in NLP activity in Arabidopsis. Furthermore, simultaneous disruption of BT1 and BT2 affected nitrate-dependent lateral root development. These results suggest that direct activation of BT1 and BT2 by NLP transcriptional activators is a key component of the molecular mechanism underlying the nitrate response in Arabidopsis. Copyright © 2016 Elsevier Inc. All rights reserved.

A Case Study Based Analysis of Performance Metrics for Green Infrastructure

Science.gov (United States)

Gordon, B. L.; Ajami, N.; Quesnel, K.

2017-12-01

Aging infrastructure, population growth, and urbanization are demanding new approaches to management of all components of the urban water cycle, including stormwater. Traditionally, urban stormwater infrastructure was designed to capture and convey rainfall-induced runoff out of a city through a network of curbs, gutters, drains, and pipes, also known as grey infrastructure. These systems were planned with a single-purpose and designed under the assumption of hydrologic stationarity, a notion that no longer holds true in the face of a changing climate. One solution gaining momentum around the world is green infrastructure (GI). Beyond stormwater quality improvement and quantity reduction (or technical benefits), GI solutions offer many environmental, economic, and social benefits. Yet many practical barriers have prevented the widespread adoption of these systems worldwide. At the center of these challenges is the inability of stakeholders to know how to monitor, measure, and assess the multi-sector performance of GI systems. Traditional grey infrastructure projects require different monitoring strategies than natural systems; there are no overarching policies on how to best design GI monitoring and evaluation systems and measure performance. Previous studies have attempted to quantify the performance of GI, mostly using one evaluation method on a specific case study. We use a case study approach to address these knowledge gaps and develop a conceptual model of how to evaluate the performance of GI through the lens of financing. First, we examined many different case studies of successfully implemented GI around the world. Then we narrowed in on 10 exemplary case studies. For each case studies, we determined what performance method the project developer used such as LCA, TBL, Low Impact Design Assessment (LIDA) and others. Then, we determined which performance metrics were used to determine success and what data was needed to calculate those metrics. Finally, we

Key performance indicators of charging infrastructure

NARCIS (Netherlands)

Helmus, J.; van den Hoed, R.

2016-01-01

The Netherlands are one of the frontrunners in stimulating electric mobility in Europe when it comes to the charging infrastructure density and electric vehicle adoption. Municipalities play an instrumental role in the rollout of public charging infrastructure while they have little insight in the

Measuring the readability of sustainability reports: : A corpus-based analysis through standard formulae and NLP

NARCIS (Netherlands)

Smeuninx, N.; De Clerck, B.; Aerts, Walter

2016-01-01

This study characterises and problematises the language of corporate reporting along region, industry, genre, and content lines by applying readability formulae and more advanced natural language processing (NLP)–based analysis to a manually assembled 2.75-million-word corpus. Readability formulae

Low carbon technology performance vs infrastructure vulnerability: analysis through the local and global properties space.

Science.gov (United States)

Dawson, David A; Purnell, Phil; Roelich, Katy; Busch, Jonathan; Steinberger, Julia K

2014-11-04

Renewable energy technologies, necessary for low-carbon infrastructure networks, are being adopted to help reduce fossil fuel dependence and meet carbon mitigation targets. The evolution of these technologies has progressed based on the enhancement of technology-specific performance criteria, without explicitly considering the wider system (global) impacts. This paper presents a methodology for simultaneously assessing local (technology) and global (infrastructure) performance, allowing key technological interventions to be evaluated with respect to their effect on the vulnerability of wider infrastructure systems. We use exposure of low carbon infrastructure to critical material supply disruption (criticality) to demonstrate the methodology. A series of local performance changes are analyzed; and by extension of this approach, a method for assessing the combined criticality of multiple materials for one specific technology is proposed. Via a case study of wind turbines at both the material (magnets) and technology (turbine generators) levels, we demonstrate that analysis of a given intervention at different levels can lead to differing conclusions regarding the effect on vulnerability. Infrastructure design decisions should take a systemic approach; without these multilevel considerations, strategic goals aimed to help meet low-carbon targets, that is, through long-term infrastructure transitions, could be significantly jeopardized.

Exploring the Mediation Between KM Infrastructure Capabilities and Organisational Performance: The Penetration of Learning by KM Practices

OpenAIRE

Meng-Lin Shih; Shu-Hui Chuang; Chechen Liao

2009-01-01

Previous studies have examined the relationship between knowledge management (KM) infrastructure capabilities and organisational performance. However, most studies neglect the mediating effect of organisational learning by KM practices (OLKMP) in the relationship between KM infrastructure capabilities and organisational performance. This study uses the survey method to discuss the relationships governing KM infrastructure capabilities, OLKMP and organisational performance. Results of the anal...

Applications of NLP Techniques to Computer-Assisted Authoring of Test Items for Elementary Chinese

Science.gov (United States)

Liu, Chao-Lin; Lin, Jen-Hsiang; Wang, Yu-Chun

2010-01-01

The authors report an implemented environment for computer-assisted authoring of test items and provide a brief discussion about the applications of NLP techniques for computer assisted language learning. Test items can serve as a tool for language learners to examine their competence in the target language. The authors apply techniques for…

A Description Of Space Relations In An NLP Model: The ABBYY Compreno Approach

Directory of Open Access Journals (Sweden)

Aleksey Leontyev

2015-12-01

Full Text Available The current paper is devoted to a formal analysis of the space category and, especially, to questions bound with the presentation of space relations in a formal NLP model. The aim is to demonstrate how linguistic and cognitive problems relating to spatial categorization, definition of spatial entities, and the expression of different locative senses in natural languages can be solved in an artificial intelligence system. We offer a description of the locative groups in the ABBYY Compreno formalism – an integral NLP framework applied for machine translation, semantic search, fact extraction, and other tasks based on the semantic analysis of texts. The model is based on a universal semantic hierarchy of the thesaurus type and includes a description of all possible semantic and syntactic links every word can attach. In this work we define the set of semantic locative relations between words, suggest different tools for their syntactic presentation, give formal restrictions for the word classes that can denote spaces, and show different strategies of dealing with locative prepositions, especially as far as the problem of their machine translation is concerned.

IT infrastructure and competitive aggressiveness in explaining and predicting performance

NARCIS (Netherlands)

Ajamieh, Aseel; Benitez, Jose; Braojos, Jessica; Gelhard, Carsten Volker

2016-01-01

While prior Information Systems and Operations Management literature emphasizes the role of both the firm's IT infrastructure and the general degree of competition as antecedents of firm performance, the organizational capabilities that mediate these important relationships remain undetermined.

Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011

Directory of Open Access Journals (Sweden)

Pyysalo Sampo

2012-06-01

Full Text Available Abstract We present the preparation, resources, results and analysis of three tasks of the BioNLP Shared Task 2011: the main tasks on Infectious Diseases (ID and Epigenetics and Post-translational Modifications (EPI, and the supporting task on Entity Relations (REL. The two main tasks represent extensions of the event extraction model introduced in the BioNLP Shared Task 2009 (ST'09 to two new areas of biomedical scientific literature, each motivated by the needs of specific biocuration tasks. The ID task concerns the molecular mechanisms of infection, virulence and resistance, focusing in particular on the functions of a class of signaling systems that are ubiquitous in bacteria. The EPI task is dedicated to the extraction of statements regarding chemical modifications of DNA and proteins, with particular emphasis on changes relating to the epigenetic control of gene expression. By contrast to these two application-oriented main tasks, the REL task seeks to support extraction in general by separating challenges relating to part-of relations into a subproblem that can be addressed by independent systems. Seven groups participated in each of the two main tasks and four groups in the supporting task. The participating systems indicated advances in the capability of event extraction methods and demonstrated generalization in many aspects: from abstracts to full texts, from previously considered subdomains to new ones, and from the ST'09 extraction targets to other entities and events. The highest performance achieved in the supporting task REL, 58% F-score, is broadly comparable with levels reported for other relation extraction tasks. For the ID task, the highest-performing system achieved 56% F-score, comparable to the state-of-the-art performance at the established ST'09 task. In the EPI task, the best result was 53% F-score for the full set of extraction targets and 69% F-score for a reduced set of core extraction targets, approaching a level

A data infrastructure for the assessment of health care performance: lessons from the BRIDGE-health project.

Science.gov (United States)

Bernal-Delgado, Enrique; Estupiñán-Romero, Francisco

2018-01-01

The integration of different administrative data sources from a number of European countries has been shown useful in the assessment of unwarranted variations in health care performance. This essay describes the procedures used to set up a data infrastructure (e.g., data access and exchange, definition of the minimum common wealth of data required, and the development of the relational logic data model) and, the methods to produce trustworthy healthcare performance measurements (e.g., ontologies standardisation and quality assurance analysis). The paper ends providing some hints on how to use these lessons in an eventual European infrastructure on public health research and monitoring. Although the relational data infrastructure developed has been proven accurate, effective to compare health system performance across different countries, and efficient enough to deal with hundred of millions of episodes, the logic data model might not be responsive if the European infrastructure aims at including electronic health records and carrying out multi-cohort multi-intervention comparative effectiveness research. The deployment of a distributed infrastructure based on semantic interoperability, where individual data remain in-country and open-access scripts for data management and analysis travel around the hubs composing the infrastructure, might be a sensible way forward.

Deploy Nalu/Kokkos algorithmic infrastructure with performance benchmarking.

Energy Technology Data Exchange (ETDEWEB)

Domino, Stefan P. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Ananthan, Shreyas [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Knaus, Robert C. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Williams, Alan B. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

2017-09-29

The former Nalu interior heterogeneous algorithm design, which was originally designed to manage matrix assembly operations over all elemental topology types, has been modified to operate over homogeneous collections of mesh entities. This newly templated kernel design allows for removal of workset variable resize operations that were formerly required at each loop over a Sierra ToolKit (STK) bucket (nominally, 512 entities in size). Extensive usage of the Standard Template Library (STL) std::vector has been removed in favor of intrinsic Kokkos memory views. In this milestone effort, the transition to Kokkos as the underlying infrastructure to support performance and portability on many-core architectures has been deployed for key matrix algorithmic kernels. A unit-test driven design effort has developed a homogeneous entity algorithm that employs a team-based thread parallelism construct. The STK Single Instruction Multiple Data (SIMD) infrastructure is used to interleave data for improved vectorization. The collective algorithm design, which allows for concurrent threading and SIMD management, has been deployed for the core low-Mach element- based algorithm. Several tests to ascertain SIMD performance on Intel KNL and Haswell architectures have been carried out. The performance test matrix includes evaluation of both low- and higher-order methods. The higher-order low-Mach methodology builds on polynomial promotion of the core low-order control volume nite element method (CVFEM). Performance testing of the Kokkos-view/SIMD design indicates low-order matrix assembly kernel speed-up ranging between two and four times depending on mesh loading and node count. Better speedups are observed for higher-order meshes (currently only P=2 has been tested) especially on KNL. The increased workload per element on higher-order meshes bene ts from the wide SIMD width on KNL machines. Combining multiple threads with SIMD on KNL achieves a 4.6x speedup over the baseline, with

Effect of garlic and neem leaf powder supplementation on growth performance and carcass traits in broilers

Directory of Open Access Journals (Sweden)

Karan Rajendra Kharde

2014-10-01

Full Text Available Aim: Present experiment was designed to study the effect of supplementation of garlic and neem leaf powder (NLP on growth performance and carcass yields in broilers. Materials and Methods: A total of 210-day-old commercial male broiler chicks (Ven Cobb were procured and randomly distributed in to seven treatments, each treatment had six replicates with five chicks per each replicate. Growth trial was conducted in a randomized block design comprising seven dietary treatments. T1 was served as control. T2 and T3 were fed with garlic powder (GP 0.5, 1 g/kg feed respectively. T4 and T5 were given with NLP 1, 2 g/kg feed respectively. T6 was fed with 0.5 g/kg GP and 1.0 g/kg NLP. T7 was treated with 1.0 g/kg GP and 2.0 g/kg NLP. The body weight, feed consumption of individual bird was recorded at weekly interval and the body weight gain, feed conversion ratio (FCR were calculated. At the end of 42 day, six birds from each dietary group were sacrificed to estimate the dressing yield and relative weights of giblet (liver, heart and gizzard. Results: Supplementation of garlic and NLP alone and their combination significantly (p0.05 influence was observed in carcass parameters like dressing yield and giblet yield (heart, gizzard and liver in all treatment groups. Conclusions: Supplementation of GP alone showed poor performance, but when it was supplemented in combination with NLP there was improvement in performance parameters. These results indicated that the combination of GP and NLP can be used as alternates to coccidiostats for improving the performance. Such meat can be used as a designer meat as fetch higher price if marketed as branded item.

Applying "What Works" in Psychology to Enhancing Examination Success in Schools: The Potential Contribution of NLP

Science.gov (United States)

Kudliskis, Voldis; Burden, Robert

2009-01-01

The strengths and weaknesses of Neuro-Linguistic Programming (NLP) are described with reference to its origins, previous research and comments from critics and supporters. A case is made for this allegedly theoretical approach to provide the kind of outcomes focused intervention that psychology and psychologists can offer to schools. In…

Impact of Infrastructure and Production Processes on Rioja Wine Supply Chain Performance

Directory of Open Access Journals (Sweden)

José Roberto Díaz-Reza

2018-01-01

Full Text Available This paper presents a structural equation model for analyzing the relationship between four latent variables: infrastructure, production processes, transport benefits, and economic benefits within the supply chain for wine from La Rioja, Spain, by incorporating 12 observed variables. The model proposes six hypothesis that were tested using information gathered from 64 surveys completed by managers of several wineries in the region. The WarpPLS v.5® software (Version 5.0, Script Warp Systems, Laredo, TX, USA was used to execute the model and analyze the direct, indirect, and total effects among latent variables. The results show that the control of production processes is a direct source of economic and transport benefits because of its higher explanatory power of those variables. Similarly, infrastructure is a direct source of transport and production benefits, and some of them are given indirectly. In addition, infrastructure does not have a direct effect on economic benefits; however, there were indirect effects given through production process and transport benefits. Infrastructure is a very important variable because of its influence in the final performance, but also because of its high environmental impact. Finally, economic benefits were explained in 43.8%, 19.1% belonging to production process, 21.1% coming from transport benefits, and 3.7% from infrastructure.

A Decision Matrix and Monitoring based Framework for Infrastructure Performance Enhancement in A Cloud based Environment

OpenAIRE

Alam, Mansaf; Shakil, Kashish Ara

2014-01-01

Cloud environment is very different from traditional computing environment and therefore tracking the performance of cloud leverages additional requirements. The movement of data in cloud is very fast. Hence, it requires that resources and infrastructure available at disposal must be equally competent. Infrastructure level performance in cloud involves the performance of servers, network and storage which act as the heart and soul for driving the entire cloud business. Thus a constant improve...

Structural analysis of papain-like NlpC/P60 superfamily enzymes with a circularly permuted topology reveals potential lipid binding sites.

Directory of Open Access Journals (Sweden)

Qingping Xu

Full Text Available NlpC/P60 superfamily papain-like enzymes play important roles in all kingdoms of life. Two members of this superfamily, LRAT-like and YaeF/YiiX-like families, were predicted to contain a catalytic domain that is circularly permuted such that the catalytic cysteine is located near the C-terminus, instead of at the N-terminus. These permuted enzymes are widespread in virus, pathogenic bacteria, and eukaryotes. We determined the crystal structure of a member of the YaeF/YiiX-like family from Bacillus cereus in complex with lysine. The structure, which adopts a ligand-induced, "closed" conformation, confirms the circular permutation of catalytic residues. A comparative analysis of other related protein structures within the NlpC/P60 superfamily is presented. Permutated NlpC/P60 enzymes contain a similar conserved core and arrangement of catalytic residues, including a Cys/His-containing triad and an additional conserved tyrosine. More surprisingly, permuted enzymes have a hydrophobic S1 binding pocket that is distinct from previously characterized enzymes in the family, indicative of novel substrate specificity. Further analysis of a structural homolog, YiiX (PDB 2if6 identified a fatty acid in the conserved hydrophobic pocket, thus providing additional insights into possible function of these novel enzymes.

Development of multi-functional streetscape green infrastructure using a performance index approach

Czech Academy of Sciences Publication Activity Database

Tiwary, A.; Williams, L. D.; Heidrich, O.; Namdeo, A.; Bandaru, V.; Calfapietra, Carlo

2016-01-01

Roč. 208, jan (2016), s. 209-220 ISSN 0269-7491 Institutional support: RVO:67179843 Keywords : Green infrastructure * Multi-functional * Pollution * Performance index * Streetscape Subject RIV: EH - Ecology, Behaviour Impact factor: 5.099, year: 2016

Transactional approach in assessment of operational performance of companies in transport infrastructure

Energy Technology Data Exchange (ETDEWEB)

Dubrovsky, V.; Yaroshevich, N.; Kuzmin, E.

2016-07-01

Offer an alternative method to assess operational performance of companies in transport infrastructure of a region by making a comparison between transaction costs. The method is supposed to be a cross-functional and possibly applied to an analysis of economic entities of a different order (country, region, sector, companies) while evaluating “viscosity” / complexity of the outside and the inside. The paper includes an analysis of various methodological approaches to assess a development level of the transport infrastructure in a region. Within the author's approach and for purposed of the research, an index of transaction capacity or the transactionalness index is proposed, which determines a level of transaction costs calculated against the cost of production and revenue. The approach is piloted using the region-wise consolidated financial data of companies involved in the Russian transport infrastructure for 2005/2013. The proposed alternative way to measure corporate operating efficiency has proved its academic consistency. A specific comparison between the transaction costs using the transactionalness index allows first to identify companies or regions/sectors, where there is excess complexity of economical communication in bargaining. Secondly, the index does not only point out indirectly to a degree of development in the institutional environment, but also the infrastructure (the transport one in the example given). Third, the transactionalness level may say of uncertainty and risks. As an addition to theoretical and methodological aspects of transaction costs, the authors justify an approach to their size estimation, as well as their differentiation dividing them into two groups: those of a natural type and a background type. In a course of their discussion, the authors have concluded that there are such transaction costs in place, which are standard in a manner of speaking. There is a discussion whether it is scientifically reasonable to use an

NLP model of a LiBr–H2O absorption refrigeration system for the minimization of the annual operating cost

International Nuclear Information System (INIS)

Rubio-Maya, Carlos; Pacheco-Ibarra, J. Jesús; Belman-Flores, Juan M.; Galván-González, Sergio R.; Mendoza-Covarrubias, Crisanto

2012-01-01

In this paper the optimization of a LiBr–H 2 O absorption refrigeration system with the annual operating cost as the objective function to be minimized is presented. The optimization problem is established as a Non-Linear Programming (NLP) model allowing a formulation of the problem in a simple and structured way, and reducing the typical complexity of the thermal systems. The model is composed of three main parts: the thermodynamic model based on the exergy concept including also the proper formulation for the thermodynamic properties of the LiBr–H 2 O mixture, the second is the economic model and the third part composed by inequality constraints. The solution of the model is obtained using the CONOPT solver suitable for NLP problems (code is available on request). The results show the values of the decision variables that minimize the annual cost under the set of assumptions considered in the model and agree well with those reported in other works using different optimization approaches. - Highlights: ► The optimization of an ARS is presented using the annual operating cost as the objective function. ► The problem is established as an NLP model allowing a formulation in a simple and structured way. ► Several formulations for the thermodynamic properties were tested to implement the simpler ones. ► The results obtained agree well with those reported in the work being in comparison.

Protective design of critical infrastructure with high performance concretes

International Nuclear Information System (INIS)

Riedel, W.; Nöldgen, M.; Stolz, A.; Roller, C.

2012-01-01

Conclusions: High performance concrete constructions will allow innovative design solutions for critical infrastructures. Validation of engineering methods can reside on large and model scale experiments conducted on conventional concrete structures. New consistent impact experiments show extreme protection potential for UHPC. Modern FEM with concrete models and explicit rebar can model HPC and UHPC penetration resistance. SDOF and TDOF approaches are valuable design tools on local and global level. Combination of at least 2 out of 3 design methods FEM – XDOF- EXP allow reliable prediction and efficient innovative designs

HwPMI: An Extensible Performance Monitoring Infrastructure for Improving Hardware Design and Productivity on FPGAs

Directory of Open Access Journals (Sweden)

Andrew G. Schmidt

2012-01-01

Full Text Available Designing hardware cores for FPGAs can quickly become a complicated task, difficult even for experienced engineers. With the addition of more sophisticated development tools and maturing high-level language-to-gates techniques, designs can be rapidly assembled; however, when the design is evaluated on the FPGA, the performance may not be what was expected. Therefore, an engineer may need to augment the design to include performance monitors to better understand the bottlenecks in the system or to aid in the debugging of the design. Unfortunately, identifying what to monitor and adding the infrastructure to retrieve the monitored data can be a challenging and time-consuming task. Our work alleviates this effort. We present the Hardware Performance Monitoring Infrastructure (HwPMI, which includes a collection of software tools and hardware cores that can be used to profile the current design, recommend and insert performance monitors directly into the HDL or netlist, and retrieve the monitored data with minimal invasiveness to the design. Three applications are used to demonstrate and evaluate HwPMI’s capabilities. The results are highly encouraging as the infrastructure adds numerous capabilities while requiring minimal effort by the designer and low resource overhead to the existing design.

Teaching Assistants, Neuro-Linguistic Programming (NLP) and Special Educational Needs: "Reframing" the Learning Experience for Students with Mild SEN

Science.gov (United States)

Kudliskis, Voldis

2014-01-01

This study examines how an understanding of two NLP concepts, the meta-model of language and the implementation of reframing, could be used to help teaching assistants enhance class-based interactions with students with mild SEN. Participants (students) completed a pre-intervention and a post-intervention "Beliefs About my Learning…

Open | SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis

Directory of Open Access Journals (Sweden)

Martin Schulz

2008-01-01

Full Text Available Over the last decades a large number of performance tools has been developed to analyze and optimize high performance applications. Their acceptance by end users, however, has been slow: each tool alone is often limited in scope and comes with widely varying interfaces and workflow constraints, requiring different changes in the often complex build and execution infrastructure of the target application. We started the Open | SpeedShop project about 3 years ago to overcome these limitations and provide efficient, easy to apply, and integrated performance analysis for parallel systems. Open | SpeedShop has two different faces: it provides an interoperable tool set covering the most common analysis steps as well as a comprehensive plugin infrastructure for building new tools. In both cases, the tools can be deployed to large scale parallel applications using DPCL/Dyninst for distributed binary instrumentation. Further, all tools developed within or on top of Open | SpeedShop are accessible through multiple fully equivalent interfaces including an easy-to-use GUI as well as an interactive command line interface reducing the usage threshold for those tools.

Monitoring performance of a highly distributed and complex computing infrastructure in LHCb

Science.gov (United States)

Mathe, Z.; Haen, C.; Stagni, F.

2017-10-01

In order to ensure an optimal performance of the LHCb Distributed Computing, based on LHCbDIRAC, it is necessary to be able to inspect the behavior over time of many components: firstly the agents and services on which the infrastructure is built, but also all the computing tasks and data transfers that are managed by this infrastructure. This consists of recording and then analyzing time series of a large number of observables, for which the usage of SQL relational databases is far from optimal. Therefore within DIRAC we have been studying novel possibilities based on NoSQL databases (ElasticSearch, OpenTSDB and InfluxDB) as a result of this study we developed a new monitoring system based on ElasticSearch. It has been deployed on the LHCb Distributed Computing infrastructure for which it collects data from all the components (agents, services, jobs) and allows creating reports through Kibana and a web user interface, which is based on the DIRAC web framework. In this paper we describe this new implementation of the DIRAC monitoring system. We give details on the ElasticSearch implementation within the DIRAC general framework, as well as an overview of the advantages of the pipeline aggregation used for creating a dynamic bucketing of the time series. We present the advantages of using the ElasticSearch DSL high-level library for creating and running queries. Finally we shall present the performances of that system.

Development of multi-functional streetscape green infrastructure using a performance index approach

International Nuclear Information System (INIS)

Tiwary, A.; Williams, I.D.; Heidrich, O.; Namdeo, A.; Bandaru, V.; Calfapietra, C.

2016-01-01

This paper presents a performance evaluation framework for streetscape vegetation. A performance index (PI) is conceived using the following seven traits, specific to the street environments – Pollution Flux Potential (PFP), Carbon Sequestration Potential (CSP), Thermal Comfort Potential (TCP), Noise Attenuation Potential (NAP), Biomass Energy Potential (BEP), Environmental Stress Tolerance (EST) and Crown Projection Factor (CPF). Its application is demonstrated through a case study using fifteen street vegetation species from the UK, utilising a combination of direct field measurements and inventoried literature data. Our results indicate greater preference to small-to-medium size trees and evergreen shrubs over larger trees for streetscaping. The proposed PI approach can be potentially applied two-fold: one, for evaluation of the performance of the existing street vegetation, facilitating the prospects for further improving them through management strategies and better species selection; two, for planning new streetscapes and multi-functional biomass as part of extending the green urban infrastructure. - Highlights: • A performance evaluation framework for streetscape vegetation is presented. • Seven traits, relevant to street vegetation, are included in a performance index (PI). • The PI approach is applied to quantify and rank fifteen street vegetation species. • Medium size trees and evergreen shrubs are found more favourable for streetscapes. • The PI offers a metric for developing sustainable streetscape green infrastructure. - A performance index is developed and applied to fifteen vegetation species indicating greater preference to medium size trees and evergreen shrubs for streetscaping.

EV Charging Infrastructure Roadmap

International Nuclear Information System (INIS)

Karner, Donald; Garetson, Thomas; Francfort, Jim

2016-01-01

As highlighted in the U.S. Department of Energy's EV Everywhere Grand Challenge, vehicle technology is advancing toward an objective to ''... produce plug-in electric vehicles that are as affordable and convenient for the average American family as today's gasoline-powered vehicles ...'' [1] by developing more efficient drivetrains, greater battery energy storage per dollar, and lighter-weight vehicle components and construction. With this technology advancement and improved vehicle performance, the objective for charging infrastructure is to promote vehicle adoption and maximize the number of electric miles driven. The EV Everywhere Charging Infrastructure Roadmap (hereafter referred to as Roadmap) looks forward and assumes that the technical challenges and vehicle performance improvements set forth in the EV Everywhere Grand Challenge will be met. The Roadmap identifies and prioritizes deployment of charging infrastructure in support of this charging infrastructure objective for the EV Everywhere Grand Challenge

Building a Community Infrastructure for Scalable On-Line Performance Analysis Tools around Open|SpeedShop

Energy Technology Data Exchange (ETDEWEB)

Galarowicz, James E. [Krell Institute, Ames, IA (United States); Miller, Barton P. [Univ. of Wisconsin, Madison, WI (United States). Computer Sciences Dept.; Hollingsworth, Jeffrey K. [Univ. of Maryland, College Park, MD (United States). Computer Sciences Dept.; Roth, Philip [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Future Technologies Group, Computer Science and Math Division; Schulz, Martin [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Applied Scientific Computing (CASC)

2013-12-19

In this project we created a community tool infrastructure for program development tools targeting Petascale class machines and beyond. This includes tools for performance analysis, debugging, and correctness tools, as well as tuning and optimization frameworks. The developed infrastructure provides a comprehensive and extensible set of individual tool building components. We started with the basic elements necessary across all tools in such an infrastructure followed by a set of generic core modules that allow a comprehensive performance analysis at scale. Further, we developed a methodology and workflow that allows others to add or replace modules, to integrate parts into their own tools, or to customize existing solutions. In order to form the core modules, we built on the existing Open|SpeedShop infrastructure and decomposed it into individual modules that match the necessary tool components. At the same time, we addressed the challenges found in performance tools for petascale systems in each module. When assembled, this instantiation of community tool infrastructure provides an enhanced version of Open|SpeedShop, which, while completely different in its architecture, provides scalable performance analysis for petascale applications through a familiar interface. This project also built upon and enhances capabilities and reusability of project partner components as specified in the original project proposal. The overall project team’s work over the project funding cycle was focused on several areas of research, which are described in the following sections. The reminder of this report also highlights related work as well as preliminary work that supported the project. In addition to the project partners funded by the Office of Science under this grant, the project team included several collaborators who contribute to the overall design of the envisioned tool infrastructure. In particular, the project team worked closely with the other two DOE NNSA

Transport Infrastructure and Economic Growth: Spatial Effects

Directory of Open Access Journals (Sweden)

Artyom Gennadyevich Isaev

2015-09-01

Full Text Available The author specifies an empirical framework of neoclassical growth model in order to examine impact of transport infrastructure on economic growth in Russian regions during period of 2000-2013. Two different effects of infrastructure are considered. First, infrastructure is viewed as part of region’s own production function. Second, infrastructure generates spillover effect on adjacent regions’ economic performance which can be negative or positive. Results imply that road infrastructure has a positive influence on regional growth, but sign of railroad infrastructure coefficient depends on whether or not congestion effect is considered. Negative spillover effect is shown to exist in the case of road infrastructure. This apparently means that rapid road infrastructure development in some regions moves mobile factors of production away from adjacent regions retarding their economic development. The spillover effect of railroad infrastructure is significant and negative again only if congestion effect is considered. The results of estimation for the Far East and Baikal Regions separately demonstrate no significant effect of both types of infrastructure for economic performance and negative spillover effect of road infrastructure

EV Charging Infrastructure Roadmap

Energy Technology Data Exchange (ETDEWEB)

Karner, Donald [Electric Transportation Inc., Rogers, AR (United States); Garetson, Thomas [Electric Transportation Inc., Rogers, AR (United States); Francfort, Jim [Idaho National Lab. (INL), Idaho Falls, ID (United States)

2016-08-01

As highlighted in the U.S. Department of Energy’s EV Everywhere Grand Challenge, vehicle technology is advancing toward an objective to “… produce plug-in electric vehicles that are as affordable and convenient for the average American family as today’s gasoline-powered vehicles …” [1] by developing more efficient drivetrains, greater battery energy storage per dollar, and lighter-weight vehicle components and construction. With this technology advancement and improved vehicle performance, the objective for charging infrastructure is to promote vehicle adoption and maximize the number of electric miles driven. The EV Everywhere Charging Infrastructure Roadmap (hereafter referred to as Roadmap) looks forward and assumes that the technical challenges and vehicle performance improvements set forth in the EV Everywhere Grand Challenge will be met. The Roadmap identifies and prioritizes deployment of charging infrastructure in support of this charging infrastructure objective for the EV Everywhere Grand Challenge

Knowledge representation and management: benefits and challenges of the semantic web for the fields of KRM and NLP.

Science.gov (United States)

Rassinoux, A-M

2011-01-01

To summarize excellent current research in the field of knowledge representation and management (KRM). A synopsis of the articles selected for the IMIA Yearbook 2011 is provided and an attempt to highlight the current trends in the field is sketched. This last decade, with the extension of the text-based web towards a semantic-structured web, NLP techniques have experienced a renewed interest in knowledge extraction. This trend is corroborated through the five papers selected for the KRM section of the Yearbook 2011. They all depict outstanding studies that exploit NLP technologies whenever possible in order to accurately extract meaningful information from various biomedical textual sources. Bringing semantic structure to the meaningful content of textual web pages affords the user with cooperative sharing and intelligent finding of electronic data. As exemplified by the best paper selection, more and more advanced biomedical applications aim at exploiting the meaningful richness of free-text documents in order to generate semantic metadata and recently to learn and populate domain ontologies. These later are becoming a key piece as they allow portraying the semantics of the Semantic Web content. Maintaining their consistency with documents and semantic annotations that refer to them is a crucial challenge of the Semantic Web for the coming years.

Decision-making as performative struggle: Strategic political-executive practices influencing the actualization of an infrastructural development

NARCIS (Netherlands)

Merkus, S.; de Heer, J.M.; Veenswijk, M.B.

2014-01-01

Purpose – The purpose of this paper is to introduce the concept of performative struggle through the use of an interpretative case story focussed on a strategic decision-making process concerning infrastructural development. Performativity is about “world-making” (Carter et al., 2010), based on the

Sampling Approaches for Multi-Domain Internet Performance Measurement Infrastructures

Energy Technology Data Exchange (ETDEWEB)

Calyam, Prasad

2014-09-15

The next-generation of high-performance networks being developed in DOE communities are critical for supporting current and emerging data-intensive science applications. The goal of this project is to investigate multi-domain network status sampling techniques and tools to measure/analyze performance, and thereby provide “network awareness” to end-users and network operators in DOE communities. We leverage the infrastructure and datasets available through perfSONAR, which is a multi-domain measurement framework that has been widely deployed in high-performance computing and networking communities; the DOE community is a core developer and the largest adopter of perfSONAR. Our investigations include development of semantic scheduling algorithms, measurement federation policies, and tools to sample multi-domain and multi-layer network status within perfSONAR deployments. We validate our algorithms and policies with end-to-end measurement analysis tools for various monitoring objectives such as network weather forecasting, anomaly detection, and fault-diagnosis. In addition, we develop a multi-domain architecture for an enterprise-specific perfSONAR deployment that can implement monitoring-objective based sampling and that adheres to any domain-specific measurement policies.

INFRASTRUCTURE

CERN Document Server

A.Gaddi

2011-01-01

Between the end of March to June 2011, there has been no detector downtime during proton fills due to CMS Infrastructures failures. This exceptional performance is a clear sign of the high quality work done by the CMS Infrastructures unit and its supporting teams. Powering infrastructure At the end of March, the EN/EL group observed a problem with the CMS 48 V system. The problem was a lack of isolation between the negative (return) terminal and earth. Although at that moment we were not seeing any loss of functionality, in the long term it would have led to severe disruption to the CMS power system. The 48 V system is critical to the operation of CMS: in addition to feeding the anti-panic lights, essential for the safety of the underground areas, it powers all the PLCs (Twidos) that control AC power to the racks and front-end electronics of CMS. A failure of the 48 V system would bring down the whole detector and lead to evacuation of the cavern. EN/EL technicians have made an accurate search of the fault, ...

INFRASTRUCTURE

CERN Multimedia

A. Gaddi and P. Tropea

2011-01-01

Most of the work relating to Infrastructure has been concentrated in the new CSC and RPC manufactory at building 904, on the Prevessin site. Brand new gas distribution, powering and HVAC infrastructures are being deployed and the production of the first CSC chambers has started. Other activities at the CMS site concern the installation of a new small crane bridge in the Cooling technical room in USC55, in order to facilitate the intervention of the maintenance team in case of major failures of the chilled water pumping units. The laser barrack in USC55 has been also the object of a study, requested by the ECAL community, for the new laser system that shall be delivered in few months. In addition, ordinary maintenance works have been performed during the short machine stops on all the main infrastructures at Point 5 and in preparation to the Year-End Technical Stop (YETS), when most of the systems will be carefully inspected in order to ensure a smooth running through the crucial year 2012. After the incide...

Critical infrastructure protection research results of the first critical infrastructure protection research project in Hungary

CERN Document Server

Padányi, József

2016-01-01

This book presents recent research in the recognition of vulnerabilities of national systems and assets which gained special attention for the Critical Infrastructures in the last two decades. The book concentrates on R&D activities in the relation of Critical Infrastructures focusing on enhancing the performance of services as well as the level of security. The objectives of the book are based on a project entitled "Critical Infrastructure Protection Researches" (TÁMOP-4.2.1.B-11/2/KMR-2011-0001) which concentrated on innovative UAV solutions, robotics, cybersecurity, surface engineering, and mechatrinics and technologies providing safe operations of essential assets. This report is summarizing the methodologies and efforts taken to fulfill the goals defined. The project has been performed by the consortium of the Óbuda University and the National University of Public Service.

Understanding the infrastructure of European Research Infrastructures

DEFF Research Database (Denmark)

Lindstrøm, Maria Duclos; Kropp, Kristoffer

2017-01-01

European Research Infrastructure Consortia (ERIC) are a new form of legal and financial framework for the establishment and operation of research infrastructures in Europe. Despite their scope, ambition, and novelty, the topic has received limited scholarly attention. This article analyses one ER....... It is also a promising theoretical framework for addressing the relationship between the ERIC construct and the large diversity of European Research Infrastructures.......European Research Infrastructure Consortia (ERIC) are a new form of legal and financial framework for the establishment and operation of research infrastructures in Europe. Despite their scope, ambition, and novelty, the topic has received limited scholarly attention. This article analyses one ERIC...... became an ERIC using the Bowker and Star’s sociology of infrastructures. We conclude that focusing on ERICs as a European standard for organising and funding research collaboration gives new insights into the problems of membership, durability, and standardisation faced by research infrastructures...

Infrastructuring for Quality

DEFF Research Database (Denmark)

Bossen, Claus; Danholt, Peter; Ubbesen, Morten Bonde

2015-01-01

Reimbursement and budgeting constitutes a central infrastructural element in most secondary healthcare sectors. In Denmark, Diagnose-Related Groups (DRG) function as the core element for budgeting and encouraging increase in activity and effectivity. However, DRG is known to potentially have...... indicators for quality in treatment to guide and govern their performance, in order to investigate whether this may generate a new performance measurement infrastructure that will improve quality of healthcare. The project is entitled: “New governance in the patient’s perspective”....... adverse effects by encouraging hospitals to maximize reimbursement at the expense of patients. To counter this, one Danish region has initiated an experiment involving nine hospital departments whose normal budgeting and reimbursement based on DRG is put on hold. Instead, they have been asked to develop...

Secure Secondary Use of Clinical Data with Cloud-based NLP Services. Towards a Highly Scalable Research Infrastructure.

Science.gov (United States)

Christoph, J; Griebel, L; Leb, I; Engel, I; Köpcke, F; Toddenroth, D; Prokosch, H-U; Laufer, J; Marquardt, K; Sedlmayr, M

2015-01-01

The secondary use of clinical data provides large opportunities for clinical and translational research as well as quality assurance projects. For such purposes, it is necessary to provide a flexible and scalable infrastructure that is compliant with privacy requirements. The major goals of the cloud4health project are to define such an architecture, to implement a technical prototype that fulfills these requirements and to evaluate it with three use cases. The architecture provides components for multiple data provider sites such as hospitals to extract free text as well as structured data from local sources and de-identify such data for further anonymous or pseudonymous processing. Free text documentation is analyzed and transformed into structured information by text-mining services, which are provided within a cloud-computing environment. Thus, newly gained annotations can be integrated along with the already available structured data items and the resulting data sets can be uploaded to a central study portal for further analysis. Based on the architecture design, a prototype has been implemented and is under evaluation in three clinical use cases. Data from several hundred patients provided by a University Hospital and a private hospital chain have already been processed. Cloud4health has shown how existing components for secondary use of structured data can be complemented with text-mining in a privacy compliant manner. The cloud-computing paradigm allows a flexible and dynamically adaptable service provision that facilitates the adoption of services by data providers without own investments in respective hardware resources and software tools.

BioNLP Shared Task--The Bacteria Track.

Science.gov (United States)

Bossy, Robert; Jourde, Julien; Manine, Alain-Pierre; Veber, Philippe; Alphonse, Erick; van de Guchte, Maarten; Bessières, Philippe; Nédellec, Claire

2012-06-26

We present the BioNLP 2011 Shared Task Bacteria Track, the first Information Extraction challenge entirely dedicated to bacteria. It includes three tasks that cover different levels of biological knowledge. The Bacteria Gene Renaming supporting task is aimed at extracting gene renaming and gene name synonymy in PubMed abstracts. The Bacteria Gene Interaction is a gene/protein interaction extraction task from individual sentences. The interactions have been categorized into ten different sub-types, thus giving a detailed account of genetic regulations at the molecular level. Finally, the Bacteria Biotopes task focuses on the localization and environment of bacteria mentioned in textbook articles. We describe the process of creation for the three corpora, including document acquisition and manual annotation, as well as the metrics used to evaluate the participants' submissions. Three teams submitted to the Bacteria Gene Renaming task; the best team achieved an F-score of 87%. For the Bacteria Gene Interaction task, the only participant's score had reached a global F-score of 77%, although the system efficiency varies significantly from one sub-type to another. Three teams submitted to the Bacteria Biotopes task with very different approaches; the best team achieved an F-score of 45%. However, the detailed study of the participating systems efficiency reveals the strengths and weaknesses of each participating system. The three tasks of the Bacteria Track offer participants a chance to address a wide range of issues in Information Extraction, including entity recognition, semantic typing and coreference resolution. We found common trends in the most efficient systems: the systematic use of syntactic dependencies and machine learning. Nevertheless, the originality of the Bacteria Biotopes task encouraged the use of interesting novel methods and techniques, such as term compositionality, scopes wider than the sentence.

Structures and infrastructures series

National Research Council Canada - National Science Library

2008-01-01

"Research, developments, and applications...on the most advanced techonologies for analyzing, predicting, and optimizing the performance of structures and infrastructures such as buildings, bridges, dams...

Benchmarking infrastructure for mutation text mining.

Science.gov (United States)

Klein, Artjom; Riazanov, Alexandre; Hindle, Matthew M; Baker, Christopher Jo

2014-02-25

Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption.

Benchmarking infrastructure for mutation text mining

Science.gov (United States)

2014-01-01

Background Experimental research on the automatic extraction of information about mutations from texts is greatly hindered by the lack of consensus evaluation infrastructure for the testing and benchmarking of mutation text mining systems. Results We propose a community-oriented annotation and benchmarking infrastructure to support development, testing, benchmarking, and comparison of mutation text mining systems. The design is based on semantic standards, where RDF is used to represent annotations, an OWL ontology provides an extensible schema for the data and SPARQL is used to compute various performance metrics, so that in many cases no programming is needed to analyze results from a text mining system. While large benchmark corpora for biological entity and relation extraction are focused mostly on genes, proteins, diseases, and species, our benchmarking infrastructure fills the gap for mutation information. The core infrastructure comprises (1) an ontology for modelling annotations, (2) SPARQL queries for computing performance metrics, and (3) a sizeable collection of manually curated documents, that can support mutation grounding and mutation impact extraction experiments. Conclusion We have developed the principal infrastructure for the benchmarking of mutation text mining tasks. The use of RDF and OWL as the representation for corpora ensures extensibility. The infrastructure is suitable for out-of-the-box use in several important scenarios and is ready, in its current state, for initial community adoption. PMID:24568600

Critical infrastructure system security and resiliency

CERN Document Server

Biringer, Betty; Warren, Drake

2013-01-01

Security protections for critical infrastructure nodes are intended to minimize the risks resulting from an initiating event, whether it is an intentional malevolent act or a natural hazard. With an emphasis on protecting an infrastructure's ability to perform its mission or function, Critical Infrastructure System Security and Resiliency presents a practical methodology for developing an effective protection system that can either prevent undesired events or mitigate the consequences of such events.Developed at Sandia National Labs, the authors' analytical approach and

Progress with the national infrastructure maintenance strategy

CSIR Research Space (South Africa)

Wall, K

2008-07-01

Full Text Available infrastructure investment and maintenance that will result from this strategy will not only improve infrastructure performance and underpin services sustainability, but will also contribute significantly towards national and local economic growth and will add...

LCA as a Tool to Evaluate Green Infrastructure's Environmental Performance

Science.gov (United States)

Catalano De Sousa, M.; Erispaha, A.; Spatari, S.; Montalto, F.

2011-12-01

Decentralized approaches to managing urban stormwater through use of green infrastructure (GI) often lead to system-wide efficiency gains within the urban watershed's energy supply system. These efficiencies lead to direct greenhouse gas (GHG) emissions savings, and also restore some ecosystem functions within the urban landscape. We developed a consequential life cycle assessment (LCA) model to estimate the life cycle energy, global warming potential (GWP), and payback times for each if GI were applied within a select neighborhood in New York City. We applied the SIMAPRO LCA software and the economic input-output LCA (EIO-LCA) tool developed by Carnegie Mellon University. The results showed that for a new intersection installation highlighted in this study a conventional infrastructure construction would emit and use approximately 3 times more for both CO2 and energy than a design using GI. Two GI benefits were analyzed with regards to retrofitting the existing intersection. The first was related to the savings in energy and CO2 at the Waste Water Treatment Plant via runoff reduction accrued from GI use. The second benefit was related to the avoided environmental costs associated with an additional new grey infrastructure installation needed to prevent CSO in case of no GI implementation. The first benefit indicated a high payback time for a GI installation in terms of CO2 and energy demand (80 and 90 years respectively) and suggest a slow energy and carbon recovery time. However, concerning to the second benefit, GI proved to be a sustainable alternative considering the high CO2 releases (429 MTE) and energy demand (5.5 TJ) associated with a grey infrastructure construction.

Development of multi-functional streetscape green infrastructure using a performance index approach.

Science.gov (United States)

Tiwary, A; Williams, I D; Heidrich, O; Namdeo, A; Bandaru, V; Calfapietra, C

2016-01-01

This paper presents a performance evaluation framework for streetscape vegetation. A performance index (PI) is conceived using the following seven traits, specific to the street environments - Pollution Flux Potential (PFP), Carbon Sequestration Potential (CSP), Thermal Comfort Potential (TCP), Noise Attenuation Potential (NAP), Biomass Energy Potential (BEP), Environmental Stress Tolerance (EST) and Crown Projection Factor (CPF). Its application is demonstrated through a case study using fifteen street vegetation species from the UK, utilising a combination of direct field measurements and inventoried literature data. Our results indicate greater preference to small-to-medium size trees and evergreen shrubs over larger trees for streetscaping. The proposed PI approach can be potentially applied two-fold: one, for evaluation of the performance of the existing street vegetation, facilitating the prospects for further improving them through management strategies and better species selection; two, for planning new streetscapes and multi-functional biomass as part of extending the green urban infrastructure. Copyright © 2015 Elsevier Ltd. All rights reserved.

N2R vs. DR Network Infrastructure Evaluation

DEFF Research Database (Denmark)

Pedersen, Jens Myrup; Roost, Lars Jessen; Toft, Per Nesager

2007-01-01

Recent development of Internet-based services has set higher requirements to network infrastructures in terms of more bandwidth, lower delays and more reliability. Theoretical research within the area of Structural Quality of Service (SQoS) has introduced a new type of infrastructure which meet...... these requirements: N2R infrastructures. This paper contributes to the ongoing research with a case study from North Jutland. An evaluation of three N2R infrastructures compared to a Double Ring (DR) infrastructure will provide valuable information of the practical applicability of N2R infrastructures. In order...... to study if N2R infrastructures perform better than the DR infrastructure, a distribution network was established based on geographical information system (GIS) data. Nodes were placed with respect to demographic and geographical factors. The established distribution network was investigated with respect...

Infrastructure and Economic Development in Sub-Saharan Africa

OpenAIRE

Calderón, César; Servén, Luis

2008-01-01

An adequate supply of infrastructure services has long been viewed by both academics and policy makers as a key ingredient for economic development. Sub-Saharan Africa ranks consistently at the bottom of all developing regions in terms of infrastructure performance, and an increasing number of observers point to deficient infrastructure as a major obstacle for growth and poverty reduction ...

Security infrastructure for dynamically provisioned cloud infrastructure services

NARCIS (Netherlands)

Demchenko, Y.; Ngo, C.; de Laat, C.; Lopez, D.R.; Morales, A.; García-Espín, J.A.; Pearson, S.; Yee, G.

2013-01-01

This chapter discusses conceptual issues, basic requirements and practical suggestions for designing dynamically configured security infrastructure provisioned on demand as part of the cloud-based infrastructure. This chapter describes general use cases for provisioning cloud infrastructure services

High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis.

Science.gov (United States)

Simonyan, Vahan; Chumakov, Konstantin; Dingerdissen, Hayley; Faison, William; Goldweber, Scott; Golikov, Anton; Gulzar, Naila; Karagiannis, Konstantinos; Vinh Nguyen Lam, Phuc; Maudru, Thomas; Muravitskaja, Olesja; Osipova, Ekaterina; Pan, Yang; Pschenichnov, Alexey; Rostovtsev, Alexandre; Santana-Quintero, Luis; Smith, Krista; Thompson, Elaine E; Tkachenko, Valery; Torcivia-Rodriguez, John; Voskanian, Alin; Wan, Quan; Wang, Jing; Wu, Tsung-Jung; Wilson, Carolyn; Mazumder, Raja

2016-01-01

The High-performance Integrated Virtual Environment (HIVE) is a distributed storage and compute environment designed primarily to handle next-generation sequencing (NGS) data. This multicomponent cloud infrastructure provides secure web access for authorized users to deposit, retrieve, annotate and compute on NGS data, and to analyse the outcomes using web interface visual environments appropriately built in collaboration with research and regulatory scientists and other end users. Unlike many massively parallel computing environments, HIVE uses a cloud control server which virtualizes services, not processes. It is both very robust and flexible due to the abstraction layer introduced between computational requests and operating system processes. The novel paradigm of moving computations to the data, instead of moving data to computational nodes, has proven to be significantly less taxing for both hardware and network infrastructure.The honeycomb data model developed for HIVE integrates metadata into an object-oriented model. Its distinction from other object-oriented databases is in the additional implementation of a unified application program interface to search, view and manipulate data of all types. This model simplifies the introduction of new data types, thereby minimizing the need for database restructuring and streamlining the development of new integrated information systems. The honeycomb model employs a highly secure hierarchical access control and permission system, allowing determination of data access privileges in a finely granular manner without flooding the security subsystem with a multiplicity of rules. HIVE infrastructure will allow engineers and scientists to perform NGS analysis in a manner that is both efficient and secure. HIVE is actively supported in public and private domains, and project collaborations are welcomed. Database URL: https://hive.biochemistry.gwu.edu. © The Author(s) 2016. Published by Oxford University Press.

Performance of a Machine Learning Classifier of Knee MRI Reports in Two Large Academic Radiology Practices: A Tool to Estimate Diagnostic Yield.

Science.gov (United States)

Hassanpour, Saeed; Langlotz, Curtis P; Amrhein, Timothy J; Befera, Nicholas T; Lungren, Matthew P

2017-04-01

The purpose of this study is to evaluate the performance of a natural language processing (NLP) system in classifying a database of free-text knee MRI reports at two separate academic radiology practices. An NLP system that uses terms and patterns in manually classified narrative knee MRI reports was constructed. The NLP system was trained and tested on expert-classified knee MRI reports from two major health care organizations. Radiology reports were modeled in the training set as vectors, and a support vector machine framework was used to train the classifier. A separate test set from each organization was used to evaluate the performance of the system. We evaluated the performance of the system both within and across organizations. Standard evaluation metrics, such as accuracy, precision, recall, and F1 score (i.e., the weighted average of the precision and recall), and their respective 95% CIs were used to measure the efficacy of our classification system. The accuracy for radiology reports that belonged to the model's clinically significant concept classes after training data from the same institution was good, yielding an F1 score greater than 90% (95% CI, 84.6-97.3%). Performance of the classifier on cross-institutional application without institution-specific training data yielded F1 scores of 77.6% (95% CI, 69.5-85.7%) and 90.2% (95% CI, 84.5-95.9%) at the two organizations studied. The results show excellent accuracy by the NLP machine learning classifier in classifying free-text knee MRI reports, supporting the institution-independent reproducibility of knee MRI report classification. Furthermore, the machine learning classifier performed well on free-text knee MRI reports from another institution. These data support the feasibility of multiinstitutional classification of radiologic imaging text reports with a single machine learning classifier without requiring institution-specific training data.

INFRASTRUCTURE

CERN Multimedia

A. Gaddi

2012-01-01

The CMS Infrastructures teams are constantly ensuring the smooth operation of the different services during this critical period when the detector is taking data at full speed. A single failure would spoil hours of high luminosity beam and everything is put in place to avoid such an eventuality. In the meantime however, the fast approaching LS1 requires that we take a look at the various activities to take place from the end of the year onwards. The list of infrastructures consolidation and upgrade tasks is already long and will touch all the services (cooling, gas, inertion, powering, etc.). The definitive list will be available just before the LS1 start. One activity performed by the CMS cooling team that is worth mentioning is the maintenance of the cooling circuits at the CMS Electronics Integration Centre (EIC) at building 904. The old chiller has been replaced by a three-units cooling plant that also serves the HVAC system for the new CSC and RPC factories. The commissioning of this new plant has tak...

NLP model based thermoeconomic optimization of vapor compression–absorption cascaded refrigeration system

International Nuclear Information System (INIS)

Jain, Vaibhav; Sachdeva, Gulshan; Kachhwaha, S.S.

2015-01-01

Highlights: • It addresses the size and cost estimation of cascaded refrigeration system. • Cascaded system is a promising decarburizing and energy efficient technology. • Second law analysis is carried out with modified Gouy-Stodola equation. • The total annual cost of plant operation is optimized in present work. - Abstract: This paper addresses the size and cost estimation of vapor compression–absorption cascaded refrigeration system (VCACRS) for water chilling application taking R410a and water–LiBr as refrigerants in compression and absorption section respectively which can help the design engineers in manufacturing and experimenting on such kind of systems. The main limitation in the practical implementation of VCACRS is its size and cost which are optimized in the present work by implementing Direct Search Method in non-linear programming (NLP) mathematical model of VCACRS. The main objective of optimization is to minimize the total annual cost of system which comprises of costs of exergy input and capital costs in monetary units. The appropriate set of decision variables (temperature of evaporator, condenser, generator, absorber, cascade condenser, degree of overlap and effectiveness of solution heat exchanger) minimizes the total annual cost of VCACRS by 11.9% with 22.4% reduction in investment cost at the base case whereas the same is reduced by 7.5% with 11.7% reduction in investment cost with reduced rate of interest and increased life span and period of operation. Optimization results show that the more investment cost in later case is well compensated through the performance and operational cost of the system. In the present analysis, optimum cascade condensing temperature is a strong function of period of operation and capital recovery factor. The cascading of compression and absorption systems becomes attractive for lower rate of interest and increase life span and operational period

The ATLAS High Level Trigger Infrastructure, Performance and Future Developments

CERN Document Server

The ATLAS collaboration

2009-01-01

The ATLAS High Level Trigger (HLT) is a distributed real-time software system that performs the final online selection of events produced during proton-proton collisions at the Large Hadron Collider (LHC). It is designed as a two-stage event filter running on a farm of commodity PC hardware. Currently the system consists of about 850 multi-core processing nodes that will be extended incrementally following the increasing luminosity of the LHC to about 2000 nodes depending on the evolution of the processor technology. Due to the complexity and similarity of the algorithms a large fraction of the software is shared between the online and offline event reconstruction. The HLT Infrastructure serves as the interface between the two domains and provides common services for the trigger algorithms. The consequences of this design choice will be discussed and experiences from the operation of the ATLAS HLT during cosmic ray data taking and first beam in 2008 will be presented. Since the event processing time at the HL...

Smart and multifunctional concrete toward sustainable infrastructures

CERN Document Server

Han, Baoguo; Ou, Jinping

2017-01-01

This book presents the latest research advances and findings in the field of smart/multifunctional concretes, focusing on the principles, design and fabrication, test and characterization, performance and mechanism, and their applications in infrastructures. It also discusses future challenges in the development and application of smart/multifunctional concretes, providing useful theory, ideas and principles, as well as insights and practical guidance for developing sustainable infrastructures. It is a valuable resource for researchers, scientists and engineers in the field of civil-engineering materials and infrastructures.

Improving performance of natural language processing part-of-speech tagging on clinical narratives through domain adaptation.

Science.gov (United States)

Ferraro, Jeffrey P; Daumé, Hal; Duvall, Scott L; Chapman, Wendy W; Harkema, Henk; Haug, Peter J

2013-01-01

Natural language processing (NLP) tasks are commonly decomposed into subtasks, chained together to form processing pipelines. The residual error produced in these subtasks propagates, adversely affecting the end objectives. Limited availability of annotated clinical data remains a barrier to reaching state-of-the-art operating characteristics using statistically based NLP tools in the clinical domain. Here we explore the unique linguistic constructions of clinical texts and demonstrate the loss in operating characteristics when out-of-the-box part-of-speech (POS) tagging tools are applied to the clinical domain. We test a domain adaptation approach integrating a novel lexical-generation probability rule used in a transformation-based learner to boost POS performance on clinical narratives. Two target corpora from independent healthcare institutions were constructed from high frequency clinical narratives. Four leading POS taggers with their out-of-the-box models trained from general English and biomedical abstracts were evaluated against these clinical corpora. A high performing domain adaptation method, Easy Adapt, was compared to our newly proposed method ClinAdapt. The evaluated POS taggers drop in accuracy by 8.5-15% when tested on clinical narratives. The highest performing tagger reports an accuracy of 88.6%. Domain adaptation with Easy Adapt reports accuracies of 88.3-91.0% on clinical texts. ClinAdapt reports 93.2-93.9%. ClinAdapt successfully boosts POS tagging performance through domain adaptation requiring a modest amount of annotated clinical data. Improving the performance of critical NLP subtasks is expected to reduce pipeline error propagation leading to better overall results on complex processing tasks.

A Grid-Based Cyber Infrastructure for High Performance Chemical Dynamics Simulations

Directory of Open Access Journals (Sweden)

Khadka Prashant

2008-10-01

Full Text Available Chemical dynamics simulation is an effective means to study atomic level motions of molecules, collections of molecules, liquids, surfaces, interfaces of materials, and chemical reactions. To make chemical dynamics simulations globally accessible to a broad range of users, recently a cyber infrastructure was developed that provides an online portal to VENUS, a popular chemical dynamics simulation program package, to allow people to submit simulation jobs that will be executed on the web server machine. In this paper, we report new developments of the cyber infrastructure for the improvement of its quality of service by dispatching the submitted simulations jobs from the web server machine onto a cluster of workstations for execution, and by adding an animation tool, which is optimized for animating the simulation results. The separation of the server machine from the simulation-running machine improves the service quality by increasing the capacity to serve more requests simultaneously with even reduced web response time, and allows the execution of large scale, time-consuming simulation jobs on the powerful workstation cluster. With the addition of an animation tool, the cyber infrastructure automatically converts, upon the selection of the user, some simulation results into an animation file that can be viewed on usual web browsers without requiring installation of any special software on the user computer. Since animation is essential for understanding the results of chemical dynamics simulations, this animation capacity provides a better way for understanding simulation details of the chemical dynamics. By combining computing resources at locations under different administrative controls, this cyber infrastructure constitutes a grid environment providing physically and administratively distributed functionalities through a single easy-to-use online portal

GATECloud.net: a platform for large-scale, open-source text processing on the cloud.

Science.gov (United States)

Tablan, Valentin; Roberts, Ian; Cunningham, Hamish; Bontcheva, Kalina

2013-01-28

Cloud computing is increasingly being regarded as a key enabler of the 'democratization of science', because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research--GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost-benefit analysis and usage evaluation.

Security infrastructure for on-demand provisioned Cloud infrastructure services

NARCIS (Netherlands)

Demchenko, Y.; Ngo, C.; de Laat, C.; Wlodarczyk, T.W.; Rong, C.; Ziegler, W.

2011-01-01

Providing consistent security services in on-demand provisioned Cloud infrastructure services is of primary importance due to multi-tenant and potentially multi-provider nature of Clouds Infrastructure as a Service (IaaS) environment. Cloud security infrastructure should address two aspects of the

Klik-suri sa Online Community ng mga Lesbiyana sa Facebook Gamit ang Critical Discourse Analysis (CDA at Natural Language Processing (NLP (Click-analysis of a Lesbian Online Community in Facebook Using the CDA and NLP

Directory of Open Access Journals (Sweden)

Alona Jumaquio-Ardales

2017-12-01

Full Text Available This study aims to describe the discourse on the online community of lesbians in the Philippines. The organization of Lesbian Community or LESCOM was chosen as subject of the study based on high number of ‘likes’ they received in Facebook. The texts were automatically gathered, filtered, shortlisted, and harvested from their Facebook page using the Natural Language Processing (NLP. The theoretical framework of Critical Discourse Analysis (CDA was used in analysing the data in order to describe online discourses that reflect the identity and community of lesbians based in the Philippines. The result of analysis were the following: [1] the emotions projected by exclamatory mark displayed their identity; [2] some plural words served as their voice for being group-oriented; [3] frequent usage of personal names manifested their inclusive community; and [4] social consciousness was part of their organizational agenda.

Performance of Project Alliancing in Australasia: a Digest of Infrastructure Development from 2008 to 2013

Directory of Open Access Journals (Sweden)

Derek Henry Thomas Walker

2015-03-01

Full Text Available Project and program alliances have been an accepted form of project procurement for public infrastructure engineering projects in Australia and New Zealand (Australasia. Alliancing often provides best value and superior value for money when compared to traditional approaches such as Design and Construct, however considerable debate continues about its success and applicability. This paper reports on three studies of completed construction project alliance performance in 2008, 2010 and 2012. Consolidated findings are presented on 61 project alliances, data is analysed and emerging trends discussed. Recent government policy changes in Australia at Federal and State level have led to a decline in the number of project alliances, however, while the volume of alliance activity is declining it still represents billions of dollars of infrastructure construction work being undertaken. Results also revealed that communication and trust between the executive leadership and operational management teams was a major factor contributing to the functioning of the alliance. Furthermore, the research identifies several key factors that were necessary preconditions for successful alliances. Paper Type: Research article

On Decision Support for Sustainability and Resilience of Infrastructure

DEFF Research Database (Denmark)

Nielsen, Michael Havbro Faber; Qin, J.; Miragliaa, S.

2017-01-01

in Bayesian decision analysis and probabilistic systems performance modelling. A principal example for decision support at regulatory level is presented for a coupled system comprised of infrastructure, social, hazard and environmental subsystems. The infrastructure systems is modelled as multi...

Bike Infrastructures

DEFF Research Database (Denmark)

Silva, Victor; Harder, Henrik; Jensen, Ole B.

Bike Infrastructures aims to identify bicycle infrastructure typologies and design elements that can help promote cycling significantly. It is structured as a case study based research where three cycling infrastructures with distinct typologies were analyzed and compared. The three cases......, the findings of this research project can also support bike friendly design and planning, and cyclist advocacy....

Innovative infrastructure of scientific-industrial cluster

OpenAIRE

SHEBEKO KONSTANTIN K

2016-01-01

Based on the analysis of problems of creation and functioning of innovation infrastructure in Belarus conclusions on the lack of its effectiveness are made. Main focus is given to the analysis of the practice of innovation infrastructure functioning, created on the basis of Polessky State University as a research university in order to perform technological modernization of the economy and the dissemination of effective business practices in Pripyat Polesye region in the form of scientific an...

The ATLAS Simulation Infrastructure

CERN Document Server

Aad, G.; Abdallah, J.; Abdelalim, A.A.; Abdesselam, A.; Abdinov, O.; Abi, B.; Abolins, M.; Abramowicz, H.; Abreu, H.; Acharya, B.S.; Adams, D.L.; Addy, T.N.; Adelman, J.; Adorisio, C.; Adragna, P.; Adye, T.; Aefsky, S.; Aguilar-Saavedra, J.A.; Aharrouche, M.; Ahlen, S.P.; Ahles, F.; Ahmad, A.; Ahmed, H.; Ahsan, M.; Aielli, G.; Akdogan, T.; Akesson, T.P.A.; Akimoto, G.; Akimov, A.V.; Aktas, A.; Alam, M.S.; Alam, M.A.; Albrand, S.; Aleksa, M.; Aleksandrov, I.N.; Alexa, C.; Alexander, G.; Alexandre, G.; Alexopoulos, T.; Alhroob, M.; Aliev, M.; Alimonti, G.; Alison, J.; Aliyev, M.; Allport, P.P.; Allwood-Spiers, S.E.; Almond, J.; Aloisio, A.; Alon, R.; Alonso, A.; Alviggi, M.G.; Amako, K.; Amelung, C.; Amorim, A.; Amoros, G.; Amram, N.; Anastopoulos, C.; Andeen, T.; Anders, C.F.; Anderson, K.J.; Andreazza, A.; Andrei, V.; Anduaga, X.S.; Angerami, A.; Anghinolfi, F.; Anjos, N.; Annovi, A.; Antonaki, A.; Antonelli, M.; Antonelli, S.; Antos, J.; Antunovic, B.; Anulli, F.; Aoun, S.; Arabidze, G.; Aracena, I.; Arai, Y.; Arce, A.T.H.; Archambault, J.P.; Arfaoui, S.; Arguin, J-F.; Argyropoulos, T.; Arik, M.; Armbruster, A.J.; Arnaez, O.; Arnault, C.; Artamonov, A.; Arutinov, D.; Asai, M.; Asai, S.; Asfandiyarov, R.; Ask, S.; Asman, B.; Asner, D.; Asquith, L.; Assamagan, K.; Astbury, A.; Astvatsatourov, A.; Atoian, G.; Auerbach, B.; Augsten, K.; Aurousseau, M.; Austin, N.; Avolio, G.; Avramidou, R.; Axen, D.; Ay, C.; Azuelos, G.; Azuma, Y.; Baak, M.A.; Bach, A.M.; Bachacou, H.; Bachas, K.; Backes, M.; Badescu, E.; Bagnaia, P.; Bai, Y.; Bain, T.; Baines, J.T.; Baker, O.K.; Baker, M.D.; Baker, S; Baltasar Dos Santos Pedrosa, F.; Banas, E.; Banerjee, P.; Banerjee, S.; Banfi, D.; Bangert, A.; Bansal, V.; Baranov, S.P.; Baranov, S.; Barashkou, A.; Barber, T.; Barberio, E.L.; Barberis, D.; Barbero, M.; Bardin, D.Y.; Barillari, T.; Barisonzi, M.; Barklow, T.; Barlow, N.; Barnett, B.M.; Barnett, R.M.; Baroncelli, A.; Barr, A.J.; Barreiro, F.; Barreiro Guimaraes da Costa, J.; Barrillon, P.; Bartoldus, R.; Bartsch, D.; Bates, R.L.; Batkova, L.; Batley, J.R.; Battaglia, A.; Battistin, M.; Bauer, F.; Bawa, H.S.; Bazalova, M.; Beare, B.; Beau, T.; Beauchemin, P.H.; Beccherle, R.; Becerici, N.; Bechtle, P.; Beck, G.A.; Beck, H.P.; Beckingham, M.; Becks, K.H.; Beddall, A.J.; Beddall, A.; Bednyakov, V.A.; Bee, C.; Begel, M.; Behar Harpaz, S.; Behera, P.K.; Beimforde, M.; Belanger-Champagne, C.; Bell, P.J.; Bell, W.H.; Bella, G.; Bellagamba, L.; Bellina, F.; Bellomo, M.; Belloni, A.; Belotskiy, K.; Beltramello, O.; Ben Ami, S.; Benary, O.; Benchekroun, D.; Bendel, M.; Benedict, B.H.; Benekos, N.; Benhammou, Y.; Benincasa, G.P.; Benjamin, D.P.; Benoit, M.; Bensinger, J.R.; Benslama, K.; Bentvelsen, S.; Beretta, M.; Berge, D.; Bergeaas Kuutmann, E.; Berger, N.; Berghaus, F.; Berglund, E.; Beringer, J.; Bernat, P.; Bernhard, R.; Bernius, C.; Berry, T.; Bertin, A.; Besana, M.I.; Besson, N.; Bethke, S.; Bianchi, R.M.; Bianco, M.; Biebel, O.; Biesiada, J.; Biglietti, M.; Bilokon, H.; Bindi, M.; Binet, S.; Bingul, A.; Bini, C.; Biscarat, C.; Bitenc, U.; Black, K.M.; Blair, R.E.; Blanchard, J-B; Blanchot, G.; Blocker, C.; Blondel, A.; Blum, W.; Blumenschein, U.; Bobbink, G.J.; Bocci, A.; Boehler, M.; Boek, J.; Boelaert, N.; Boser, S.; Bogaerts, J.A.; Bogouch, A.; Bohm, C.; Bohm, J.; Boisvert, V.; Bold, T.; Boldea, V.; Bondarenko, V.G.; Bondioli, M.; Boonekamp, M.; Bordoni, S.; Borer, C.; Borisov, A.; Borissov, G.; Borjanovic, I.; Borroni, S.; Bos, K.; Boscherini, D.; Bosman, M.; Boterenbrood, H.; Bouchami, J.; Boudreau, J.; Bouhova-Thacker, E.V.; Boulahouache, C.; Bourdarios, C.; Boveia, A.; Boyd, J.; Boyko, I.R.; Bozovic-Jelisavcic, I.; Bracinik, J.; Braem, A.; Branchini, P.; Brandenburg, G.W.; Brandt, A.; Brandt, G.; Brandt, O.; Bratzler, U.; Brau, B.; Brau, J.E.; Braun, H.M.; Brelier, B.; Bremer, J.; Brenner, R.; Bressler, S.; Britton, D.; Brochu, F.M.; Brock, I.; Brock, R.; Brodet, E.; Bromberg, C.; Brooijmans, G.; Brooks, W.K.; Brown, G.; Bruckman de Renstrom, P.A.; Bruncko, D.; Bruneliere, R.; Brunet, S.; Bruni, A.; Bruni, G.; Bruschi, M.; Bucci, F.; Buchanan, J.; Buchholz, P.; Buckley, A.G.; Budagov, I.A.; Budick, B.; Buscher, V.; Bugge, L.; Bulekov, O.; Bunse, M.; Buran, T.; Burckhart, H.; Burdin, S.; Burgess, T.; Burke, S.; Busato, E.; Bussey, P.; Buszello, C.P.; Butin, F.; Butler, B.; Butler, J.M.; Buttar, C.M.; Butterworth, J.M.; Byatt, T.; Caballero, J.; Cabrera Urban, S.; Caforio, D.; Cakir, O.; Calafiura, P.; Calderini, G.; Calfayan, P.; Calkins, R.; Caloba, L.P.; Calvet, D.; Camarri, P.; Cameron, D.; Campana, S.; Campanelli, M.; Canale, V.; Canelli, F.; Canepa, A.; Cantero, J.; Capasso, L.; Capeans Garrido, M.D.M.; Caprini, I.; Caprini, M.; Capua, M.; Caputo, R.; Caramarcu, C.; Cardarelli, R.; Carli, T.; Carlino, G.; Carminati, L.; Caron, B.; Caron, S.; Carrillo Montoya, G.D.; Carron Montero, S.; Carter, A.A.; Carter, J.R.; Carvalho, J.; Casadei, D.; Casado, M.P.; Cascella, M.; Castaneda Hernandez, A.M.; Castaneda-Miranda, E.; Castillo Gimenez, V.; Castro, N.F.; Cataldi, G.; Catinaccio, A.; Catmore, J.R.; Cattai, A.; Cattani, G.; Caughron, S.; Cauz, D.; Cavalleri, P.; Cavalli, D.; Cavalli-Sforza, M.; Cavasinni, V.; Ceradini, F.; Cerqueira, A.S.; Cerri, A.; Cerrito, L.; Cerutti, F.; Cetin, S.A.; Chafaq, A.; Chakraborty, D.; Chan, K.; Chapman, J.D.; Chapman, J.W.; Chareyre, E.; Charlton, D.G.; Chavda, V.; Cheatham, S.; Chekanov, S.; Chekulaev, S.V.; Chelkov, G.A.; Chen, H.; Chen, S.; Chen, X.; Cheplakov, A.; Chepurnov, V.F.; Cherkaoui El Moursli, R.; Tcherniatine, V.; Chesneanu, D.; Cheu, E.; Cheung, S.L.; Chevalier, L.; Chevallier, F.; Chiarella, V.; Chiefari, G.; Chikovani, L.; Childers, J.T.; Chilingarov, A.; Chiodini, G.; Chizhov, V.; Choudalakis, G.; Chouridou, S.; Christidi, I.A.; Christov, A.; Chromek-Burckhart, D.; Chu, M.L.; Chudoba, J.; Ciapetti, G.; Ciftci, A.K.; Ciftci, R.; Cinca, D.; Cindro, V.; Ciobotaru, M.D.; Ciocca, C.; Ciocio, A.; Cirilli, M.; Citterio, M.; Clark, A.; Clark, P.J.; Cleland, W.; Clemens, J.C.; Clement, B.; Clement, C.; Coadou, Y.; Cobal, M.; Coccaro, A.; Cochran, J.; Coggeshall, J.; Cogneras, E.; Colijn, A.P.; Collard, C.; Collins, N.J.; Collins-Tooth, C.; Collot, J.; Colon, G.; Conde Muino, P.; Coniavitis, E.; Consonni, M.; Constantinescu, S.; Conta, C.; Conventi, F.; Cooke, M.; Cooper, B.D.; Cooper-Sarkar, A.M.; Cooper-Smith, N.J.; Copic, K.; Cornelissen, T.; Corradi, M.; Corriveau, F.; Corso-Radu, A.; Cortes-Gonzalez, A.; Cortiana, G.; Costa, G.; Costa, M.J.; Costanzo, D.; Costin, T.; Cote, D.; Coura Torres, R.; Courneyea, L.; Cowan, G.; Cowden, C.; Cox, B.E.; Cranmer, K.; Cranshaw, J.; Cristinziani, M.; Crosetti, G.; Crupi, R.; Crepe-Renaudin, S.; Cuenca Almenar, C.; Cuhadar Donszelmann, T.; Curatolo, M.; Curtis, C.J.; Cwetanski, P.; Czyczula, Z.; D'Auria, S.; D'Onofrio, M.; D'Orazio, A.; Da Via, C; Dabrowski, W.; Dai, T.; Dallapiccola, C.; Dallison, S.J.; Daly, C.H.; Dam, M.; Danielsson, H.O.; Dannheim, D.; Dao, V.; Darbo, G.; Darlea, G.L.; Davey, W.; Davidek, T.; Davidson, N.; Davidson, R.; Davies, M.; Davison, A.R.; Dawson, I.; Daya, R.K.; De, K.; de Asmundis, R.; De Castro, S.; De Castro Faria Salgado, P.E.; De Cecco, S.; de Graat, J.; De Groot, N.; de Jong, P.; De Mora, L.; De Oliveira Branco, M.; De Pedis, D.; De Salvo, A.; De Sanctis, U.; De Santo, A.; De Vivie De Regie, J.B.; De Zorzi, G.; Dean, S.; Dedovich, D.V.; Degenhardt, J.; Dehchar, M.; Del Papa, C.; Del Peso, J.; Del Prete, T.; Dell'Acqua, A.; Dell'Asta, L.; Della Pietra, M.; della Volpe, D.; Delmastro, M.; Delsart, P.A.; Deluca, C.; Demers, S.; Demichev, M.; Demirkoz, B.; Deng, J.; Deng, W.; Denisov, S.P.; Derkaoui, J.E.; Derue, F.; Dervan, P.; Desch, K.; Deviveiros, P.O.; Dewhurst, A.; DeWilde, B.; Dhaliwal, S.; Dhullipudi, R.; Di Ciaccio, A.; Di Ciaccio, L.; Di Domenico, A.; Di Girolamo, A.; Di Girolamo, B.; Di Luise, S.; Di Mattia, A.; Di Nardo, R.; Di Simone, A.; Di Sipio, R.; Diaz, M.A.; Diblen, F.; Diehl, E.B.; Dietrich, J.; Dietzsch, T.A.; Diglio, S.; Dindar Yagci, K.; Dingfelder, J.; Dionisi, C.; Dita, P.; Dita, S.; Dittus, F.; Djama, F.; Djilkibaev, R.; Djobava, T.; do Vale, M.A.B.; Do Valle Wemans, A.; Doan, T.K.O.; Dobos, D.; Dobson, E.; Dobson, M.; Doglioni, C.; Doherty, T.; Dolejsi, J.; Dolenc, I.; Dolezal, Z.; Dolgoshein, B.A.; Dohmae, T.; Donega, M.; Donini, J.; Dopke, J.; Doria, A.; Dos Anjos, A.; Dotti, A.; Dova, M.T.; Doxiadis, A.; Doyle, A.T.; Drasal, Z.; Dris, M.; Dubbert, J.; Duchovni, E.; Duckeck, G.; Dudarev, A.; Dudziak, F.; Duhrssen, M.; Duflot, L.; Dufour, M-A.; Dunford, M.; Duran Yildiz, H.; Dushkin, A.; Duxfield, R.; Dwuznik, M.; Duren, M.; Ebenstein, W.L.; Ebke, J.; Eckweiler, S.; Edmonds, K.; Edwards, C.A.; Egorov, K.; Ehrenfeld, W.; Ehrich, T.; Eifert, T.; Eigen, G.; Einsweiler, K.; Eisenhandler, E.; Ekelof, T.; El Kacimi, M.; Ellert, M.; Elles, S.; Ellinghaus, F.; Ellis, K.; Ellis, N.; Elmsheuser, J.; Elsing, M.; Emeliyanov, D.; Engelmann, R.; Engl, A.; Epp, B.; Eppig, A.; Erdmann, J.; Ereditato, A.; Eriksson, D.; Ermoline, I.; Ernst, J.; Ernst, M.; Ernwein, J.; Errede, D.; Errede, S.; Ertel, E.; Escalier, M.; Escobar, C.; Espinal Curull, X.; Esposito, B.; Etienvre, A.I.; Etzion, E.; Evans, H.; Fabbri, L.; Fabre, C.; Facius, K.; Fakhrutdinov, R.M.; Falciano, S.; Fang, Y.; Fanti, M.; Farbin, A.; Farilla, A.; Farley, J.; Farooque, T.; Farrington, S.M.; Farthouat, P.; Fassnacht, P.; Fassouliotis, D.; Fatholahzadeh, B.; Fayard, L.; Fayette, F.; Febbraro, R.; Federic, P.; Fedin, O.L.; Fedorko, W.; Feligioni, L.; Felzmann, C.U.; Feng, C.; Feng, E.J.; Fenyuk, A.B.; Ferencei, J.; Ferland, J.; Fernandes, B.; Fernando, W.; Ferrag, S.; Ferrando, J.; Ferrara, V.; Ferrari, A.; Ferrari, P.; Ferrari, R.; Ferrer, A.; Ferrer, M.L.; Ferrere, D.; Ferretti, C.; Fiascaris, M.; Fiedler, F.; Filipcic, A.; Filippas, A.; Filthaut, F.; Fincke-Keeler, M.; Fiolhais, M.C.N.; Fiorini, L.; Firan, A.; Fischer, G.; Fisher, M.J.; Flechl, M.; Fleck, I.; Fleckner, J.; Fleischmann, P.; Fleischmann, S.; Flick, T.; Flores Castillo, L.R.; Flowerdew, M.J.; Fonseca Martin, T.; Formica, A.; Forti, A.; Fortin, D.; Fournier, D.; Fowler, A.J.; Fowler, K.; Fox, H.; Francavilla, P.; Franchino, S.; Francis, D.; Franklin, M.; Franz, S.; Fraternali, M.; Fratina, S.; Freestone, J.; French, S.T.; Froeschl, R.; Froidevaux, D.; Frost, J.A.; Fukunaga, C.; Fullana Torregrosa, E.; Fuster, J.; Gabaldon, C.; Gabizon, O.; Gadfort, T.; Gadomski, S.; Gagliardi, G.; Gagnon, P.; Galea, C.; Gallas, E.J.; Gallo, V.; Gallop, B.J.; Gallus, P.; Galyaev, E.; Gan, K.K.; Gao, Y.S.; Gaponenko, A.; Garcia-Sciveres, M.; Garcia, C.; Garcia Navarro, J.E.; Gardner, R.W.; Garelli, N.; Garitaonandia, H.; Garonne, V.; Gatti, C.; Gaudio, G.; Gautard, V.; Gauzzi, P.; Gavrilenko, I.L.; Gay, C.; Gaycken, G.; Gazis, E.N.; Ge, P.; Gee, C.N.P.; Geich-Gimbel, Ch.; Gellerstedt, K.; Gemme, C.; Genest, M.H.; Gentile, S.; Georgatos, F.; George, S.; Gershon, A.; Ghazlane, H.; Ghodbane, N.; Giacobbe, B.; Giagu, S.; Giakoumopoulou, V.; Giangiobbe, V.; Gianotti, F.; Gibbard, B.; Gibson, A.; Gibson, S.M.; Gilbert, L.M.; Gilchriese, M.; Gilewsky, V.; Gingrich, D.M.; Ginzburg, J.; Giokaris, N.; Giordani, M.P.; Giordano, R.; Giorgi, F.M.; Giovannini, P.; Giraud, P.F.; Girtler, P.; Giugni, D.; Giusti, P.; Gjelsten, B.K.; Gladilin, L.K.; Glasman, C.; Glazov, A.; Glitza, K.W.; Glonti, G.L.; Godfrey, J.; Godlewski, J.; Goebel, M.; Gopfert, T.; Goeringer, C.; Gossling, C.; Gottfert, T.; Goggi, V.; Goldfarb, S.; Goldin, D.; Golling, T.; Gomes, A.; Gomez Fajardo, L.S.; Goncalo, R.; Gonella, L.; Gong, C.; Gonzalez de la Hoz, S.; Gonzalez Silva, M.L.; Gonzalez-Sevilla, S.; Goodson, J.J.; Goossens, L.; Gordon, H.A.; Gorelov, I.; Gorfine, G.; Gorini, B.; Gorini, E.; Gorisek, A.; Gornicki, E.; Gosdzik, B.; Gosselink, M.; Gostkin, M.I.; Gough Eschrich, I.; Gouighri, M.; Goujdami, D.; Goulette, M.P.; Goussiou, A.G.; Goy, C.; Grabowska-Bold, I.; Grafstrom, P.; Grahn, K-J.; Grancagnolo, S.; Grassi, V.; Gratchev, V.; Grau, N.; Gray, H.M.; Gray, J.A.; Graziani, E.; Green, B.; Greenshaw, T.; Greenwood, Z.D.; Gregor, I.M.; Grenier, P.; Griesmayer, E.; Griffiths, J.; Grigalashvili, N.; Grillo, A.A.; Grimm, K.; Grinstein, S.; Grishkevich, Y.V.; Groh, M.; Groll, M.; Gross, E.; Grosse-Knetter, J.; Groth-Jensen, J.; Grybel, K.; Guicheney, C.; Guida, A.; Guillemin, T.; Guler, H.; Gunther, J.; Guo, B.; Gupta, A.; Gusakov, Y.; Gutierrez, A.; Gutierrez, P.; Guttman, N.; Gutzwiller, O.; Guyot, C.; Gwenlan, C.; Gwilliam, C.B.; Haas, A.; Haas, S.; Haber, C.; Hadavand, H.K.; Hadley, D.R.; Haefner, P.; Hartel, R.; Hajduk, Z.; Hakobyan, H.; Haller, J.; Hamacher, K.; Hamilton, A.; Hamilton, S.; Han, L.; Hanagaki, K.; Hance, M.; Handel, C.; Hanke, P.; Hansen, J.R.; Hansen, J.B.; Hansen, J.D.; Hansen, P.H.; Hansl-Kozanecka, T.; Hansson, P.; Hara, K.; Hare, G.A.; Harenberg, T.; Harrington, R.D.; Harris, O.M.; Harrison, K; Hartert, J.; Hartjes, F.; Harvey, A.; Hasegawa, S.; Hasegawa, Y.; Hashemi, K.; Hassani, S.; Haug, S.; Hauschild, M.; Hauser, R.; Havranek, M.; Hawkes, C.M.; Hawkings, R.J.; Hayakawa, T.; Hayward, H.S.; Haywood, S.J.; Head, S.J.; Hedberg, V.; Heelan, L.; Heim, S.; Heinemann, B.; Heisterkamp, S.; Helary, L.; Heller, M.; Hellman, S.; Helsens, C.; Hemperek, T.; Henderson, R.C.W.; Henke, M.; Henrichs, A.; Henriques Correia, A.M.; Henrot-Versille, S.; Hensel, C.; Henss, T.; Hernandez Jimenez, Y.; Hershenhorn, A.D.; Herten, G.; Hertenberger, R.; Hervas, L.; Hessey, N.P.; Higon-Rodriguez, E.; Hill, J.C.; Hiller, K.H.; Hillert, S.; Hillier, S.J.; Hinchliffe, I.; Hines, E.; Hirose, M.; Hirsch, F.; Hirschbuehl, D.; Hobbs, J.; Hod, N.; Hodgkinson, M.C.; Hodgson, P.; Hoecker, A.; Hoeferkamp, M.R.; Hoffman, J.; Hoffmann, D.; Hohlfeld, M.; Holy, T.; Holzbauer, J.L.; Homma, Y.; Horazdovsky, T.; Hori, T.; Horn, C.; Horner, S.; Horvat, S.; Hostachy, J-Y.; Hou, S.; Hoummada, A.; Howe, T.; Hrivnac, J.; Hryn'ova, T.; Hsu, P.J.; Hsu, S.C.; Huang, G.S.; Hubacek, Z.; Hubaut, F.; Huegging, F.; Hughes, E.W.; Hughes, G.; Hurwitz, M.; Husemann, U.; Huseynov, N.; Huston, J.; Huth, J.; Iacobucci, G.; Iakovidis, G.; Ibragimov, I.; Iconomidou-Fayard, L.; Idarraga, J.; Iengo, P.; Igonkina, O.; Ikegami, Y.; Ikeno, M.; Ilchenko, Y.; Iliadis, D.; Ince, T.; Ioannou, P.; Iodice, M.; Irles Quiles, A.; Ishikawa, A.; Ishino, M.; Ishmukhametov, R.; Isobe, T.; Issakov, V.; Issever, C.; Istin, S.; Itoh, Y.; Ivashin, A.V.; Iwanski, W.; Iwasaki, H.; Izen, J.M.; Izzo, V.; Jackson, B.; Jackson, J.N.; Jackson, P.; Jaekel, M.R.; Jain, V.; Jakobs, K.; Jakobsen, S.; Jakubek, J.; Jana, D.K.; Jansen, E.; Jantsch, A.; Janus, M.; Jared, R.C.; Jarlskog, G.; Jeanty, L.; Jen-La Plante, I.; Jenni, P.; Jez, P.; Jezequel, S.; Ji, W.; Jia, J.; Jiang, Y.; Jimenez Belenguer, M.; Jin, S.; Jinnouchi, O.; Joffe, D.; Johansen, M.; Johansson, K.E.; Johansson, P.; Johnert, S; Johns, K.A.; Jon-And, K.; Jones, G.; Jones, R.W.L.; Jones, T.J.; Jorge, P.M.; Joseph, J.; Juranek, V.; Jussel, P.; Kabachenko, V.V.; Kaci, M.; Kaczmarska, A.; Kado, M.; Kagan, H.; Kagan, M.; Kaiser, S.; Kajomovitz, E.; Kalinin, S.; Kalinovskaya, L.V.; Kalinowski, A.; Kama, S.; Kanaya, N.; Kaneda, M.; Kantserov, V.A.; Kanzaki, J.; Kaplan, B.; Kapliy, A.; Kaplon, J.; Kar, D.; Karagounis, M.; Karagoz Unel, M.; Kartvelishvili, V.; Karyukhin, A.N.; Kashif, L.; Kasmi, A.; Kass, R.D.; Kastanas, A.; Kastoryano, M.; Kataoka, M.; Kataoka, Y.; Katsoufis, E.; Katzy, J.; Kaushik, V.; Kawagoe, K.; Kawamoto, T.; Kawamura, G.; Kayl, M.S.; Kayumov, F.; Kazanin, V.A.; Kazarinov, M.Y.; Keates, J.R.; Keeler, R.; Keener, P.T.; Kehoe, R.; Keil, M.; Kekelidze, G.D.; Kelly, M.; Kenyon, M.; Kepka, O.; Kerschen, N.; Kersevan, B.P.; Kersten, S.; Kessoku, K.; Khakzad, M.; Khalil-zada, F.; Khandanyan, H.; Khanov, A.; Kharchenko, D.; Khodinov, A.; Khomich, A.; Khoriauli, G.; Khovanskiy, N.; Khovanskiy, V.; Khramov, E.; Khubua, J.; Kim, H.; Kim, M.S.; Kim, P.C.; Kim, S.H.; Kind, O.; Kind, P.; King, B.T.; Kirk, J.; Kirsch, G.P.; Kirsch, L.E.; Kiryunin, A.E.; Kisielewska, D.; Kittelmann, T.; Kiyamura, H.; Kladiva, E.; Klein, M.; Klein, U.; Kleinknecht, K.; Klemetti, M.; Klier, A.; Klimentov, A.; Klingenberg, R.; Klinkby, E.B.; Klioutchnikova, T.; Klok, P.F.; Klous, S.; Kluge, E.E.; Kluge, T.; Kluit, P.; Klute, M.; Kluth, S.; Knecht, N.S.; Kneringer, E.; Ko, B.R.; Kobayashi, T.; Kobel, M.; Koblitz, B.; Kocian, M.; Kocnar, A.; Kodys, P.; Koneke, K.; Konig, A.C.; Koenig, S.; Kopke, L.; Koetsveld, F.; Koevesarki, P.; Koffas, T.; Koffeman, E.; Kohn, F.; Kohout, Z.; Kohriki, T.; Kolanoski, H.; Kolesnikov, V.; Koletsou, I.; Koll, J.; Kollar, D.; Kolos, S.; Kolya, S.D.; Komar, A.A.; Komaragiri, J.R.; Kondo, T.; Kono, T.; Konoplich, R.; Konovalov, S.P.; Konstantinidis, N.; Koperny, S.; Korcyl, K.; Kordas, K.; Korn, A.; Korolkov, I.; Korolkova, E.V.; Korotkov, V.A.; Kortner, O.; Kostka, P.; Kostyukhin, V.V.; Kotov, S.; Kotov, V.M.; Kotov, K.Y.; Kourkoumelis, C.; Koutsman, A.; Kowalewski, R.; Kowalski, H.; Kowalski, T.Z.; Kozanecki, W.; Kozhin, A.S.; Kral, V.; Kramarenko, V.A.; Kramberger, G.; Krasny, M.W.; Krasznahorkay, A.; Kreisel, A.; Krejci, F.; Kretzschmar, J.; Krieger, N.; Krieger, P.; Kroeninger, K.; Kroha, H.; Kroll, J.; Kroseberg, J.; Krstic, J.; Kruchonak, U.; Kruger, H.; Krumshteyn, Z.V.; Kubota, T.; Kuehn, S.; Kugel, A.; Kuhl, T.; Kuhn, D.; Kukhtin, V.; Kulchitsky, Y.; Kuleshov, S.; Kummer, C.; Kuna, M.; Kunkle, J.; Kupco, A.; Kurashige, H.; Kurata, M.; Kurchaninov, L.L.; Kurochkin, Y.A.; Kus, V.; Kwee, R.; La Rotonda, L.; Labbe, J.; Lacasta, C.; Lacava, F.; Lacker, H.; Lacour, D.; Lacuesta, V.R.; Ladygin, E.; Lafaye, R.; Laforge, B.; Lagouri, T.; Lai, S.; Lamanna, M.; Lampen, C.L.; Lampl, W.; Lancon, E.; Landgraf, U.; Landon, M.P.J.; Lane, J.L.; Lankford, A.J.; Lanni, F.; Lantzsch, K.; Lanza, A.; Laplace, S.; Lapoire, C.; Laporte, J.F.; Lari, T.; Larner, A.; Lassnig, M.; Laurelli, P.; Lavrijsen, W.; Laycock, P.; Lazarev, A.B.; Lazzaro, A.; Le Dortz, O.; Le Guirriec, E.; Le Menedeu, E.; Le Vine, M.; Lebedev, A.; Lebel, C.; LeCompte, T.; Ledroit-Guillon, F.; Lee, H.; Lee, J.S.H.; Lee, S.C.; Lefebvre, M.; Legendre, M.; LeGeyt, B.C.; Legger, F.; Leggett, C.; Lehmacher, M.; Lehmann Miotto, G.; Lei, X.; Leitner, R.; Lellouch, D.; 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Urkovsky, E.; Urquijo, P.; Urrejola, P.; Usai, G.; Uslenghi, M.; Vacavant, L.; Vacek, V.; Vachon, B.; Vahsen, S.; Valente, P.; Valentinetti, S.; Valkar, S.; Valladolid Gallego, E.; Vallecorsa, S.; Valls Ferrer, J.A.; Van Berg, R.; van der Graaf, H.; van der Kraaij, E.; van der Poel, E.; van der Ster, D.; van Eldik, N.; van Gemmeren, P.; van Kesteren, Z.; van Vulpen, I.; Vandelli, W.; Vaniachine, A.; Vankov, P.; Vannucci, F.; Vari, R.; Varnes, E.W.; Varouchas, D.; Vartapetian, A.; Varvell, K.E.; Vasilyeva, L.; Vassilakopoulos, V.I.; Vazeille, F.; Vellidis, C.; Veloso, F.; Veneziano, S.; Ventura, A.; Ventura, D.; Venturi, M.; Venturi, N.; Vercesi, V.; Verducci, M.; Verkerke, W.; Vermeulen, J.C.; Vetterli, M.C.; Vichou, I.; Vickey, T.; Viehhauser, G.H.A.; Villa, M.; Villani, E.G.; Villaplana Perez, M.; Vilucchi, E.; Vincter, M.G.; Vinek, E.; Vinogradov, V.B.; Viret, S.; Virzi, J.; Vitale, A.; Vitells, O.; Vivarelli, I.; Vives Vaque, F.; Vlachos, S.; Vlasak, M.; Vlasov, N.; Vogel, A.; Vokac, P.; Volpi, M.; von der Schmitt, H.; von Loeben, J.; von Radziewski, H.; von Toerne, E.; Vorobel, V.; Vorwerk, V.; Vos, M.; Voss, R.; Voss, T.T.; Vossebeld, J.H.; Vranjes, N.; Vranjes Milosavljevic, M.; Vrba, V.; Vreeswijk, M.; Vu Anh, T.; Vudragovic, D.; Vuillermet, R.; Vukotic, I.; Wagner, P.; Walbersloh, J.; Walder, J.; Walker, R.; Walkowiak, W.; Wall, R.; Wang, C.; Wang, H.; Wang, J.; Wang, S.M.; Warburton, A.; Ward, C.P.; Warsinsky, M.; Wastie, R.; Watkins, P.M.; Watson, A.T.; Watson, M.F.; Watts, G.; Watts, S.; Waugh, A.T.; Waugh, B.M.; Weber, M.D.; Weber, M.; Weber, M.S.; Weber, P.; Weidberg, A.R.; Weingarten, J.; Weiser, C.; Wellenstein, H.; Wells, P.S.; Wen, M.; Wenaus, T.; Wendler, S.; Wengler, T.; Wenig, S.; Wermes, N.; Werner, M.; Werner, P.; Werth, M.; Werthenbach, U.; Wessels, M.; Whalen, K.; White, A.; White, M.J.; White, S.; Whitehead, S.R.; Whiteson, D.; Whittington, D.; Wicek, F.; Wicke, D.; Wickens, F.J.; Wiedenmann, W.; Wielers, M.; Wienemann, P.; Wiglesworth, C.; Wiik, L.A.M.; Wildauer, A.; Wildt, M.A.; Wilkens, H.G.; Williams, E.; Williams, H.H.; Willocq, S.; Wilson, J.A.; Wilson, M.G.; Wilson, A.; Wingerter-Seez, I.; Winklmeier, F.; Wittgen, M.; Wolter, M.W.; Wolters, H.; Wosiek, B.K.; Wotschack, J.; Woudstra, M.J.; Wraight, K.; Wright, C.; Wright, D.; Wrona, B.; Wu, S.L.; Wu, X.; Wulf, E.; Wynne, B.M.; Xaplanteris, L.; Xella, S.; Xie, S.; Xu, D.; Xu, N.; Yamada, M.; Yamamoto, A.; Yamamoto, K.; Yamamoto, S.; Yamamura, T.; Yamaoka, J.; Yamazaki, T.; Yamazaki, Y.; Yan, Z.; Yang, H.; Yang, U.K.; Yang, Z.; Yao, W-M.; Yao, Y.; Yasu, Y.; Ye, J.; Ye, S.; Yilmaz, M.; Yoosoofmiya, R.; Yorita, K.; Yoshida, R.; Young, C.; Youssef, S.P.; Yu, D.; Yu, J.; Yuan, L.; Yurkewicz, A.; Zaidan, R.; Zaitsev, A.M.; Zajacova, Z.; Zambrano, V.; Zanello, L.; Zaytsev, A.; Zeitnitz, C.; Zeller, M.; Zemla, A.; Zendler, C.; Zenin, O.; Zenis, T.; Zenonos, Z.; Zenz, S.; Zerwas, D.; Zevi della Porta, G.; Zhan, Z.; Zhang, H.; Zhang, J.; Zhang, Q.; Zhang, X.; Zhao, L.; Zhao, T.; Zhao, Z.; Zhemchugov, A.; Zhong, J.; Zhou, B.; Zhou, N.; Zhou, Y.; Zhu, C.G.; Zhu, H.; Zhu, Y.; Zhuang, X.; Zhuravlov, V.; Zimmermann, R.; Zimmermann, S.; Zimmermann, S.; Ziolkowski, M.; Zivkovic, L.; Zobernig, G.; Zoccoli, A.; zur Nedden, M.; Zutshi, V.

2010-01-01

The simulation software for the ATLAS Experiment at the Large Hadron Collider is being used for large-scale production of events on the LHC Computing Grid. This simulation requires many components, from the generators that simulate particle collisions, through packages simulating the response of the various detectors and triggers. All of these components come together under the ATLAS simulation infrastructure. In this paper, that infrastructure is discussed, including that supporting the detector description, interfacing the event generation, and combining the GEANT4 simulation of the response of the individual detectors. Also described are the tools allowing the software validation, performance testing, and the validation of the simulated output against known physics processes.

Energy-Efficient Cooperative Techniques for Infrastructure-to-Vehicle Communications

OpenAIRE

Nguyen , Tuan-Duc; Berder , Olivier; Sentieys , Olivier

2011-01-01

International audience; In wireless distributed networks, cooperative relay and cooperative Multi-Input Multi-Output (MIMO) techniques can be used to exploit the spatial and temporal diversity gain in order to increase the performance or reduce the transmission energy consumption. The energy efficiency of cooperative MIMO and relay techniques is then very useful for the Infrastructure to Vehicle (I2V) and Infrastructure to Infrastructure (I2I) communications in Intelligent Transport Systems (I...

IP Infrastructure Geolocation

Science.gov (United States)

2015-03-01

by non-commercial enti- ties. HostiP is a community-driven geolocation service. It provides an Application Pro- gramming Interface ( API ) for...NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA THESIS IP INFRASTRUCTURE GEOLOCATION Thesis Advisor: Second Reader: by Guan Yan Cai March...FUNDING NUMBERS IP INFRASTRUCfURE GEOLOCATION N66001-2250-59231 6. AUTHOR(S) Guan Yan Cai 7. PERFORMING ORGANIZATION NAME(S) AND AOORESS(ES) 9

Performance evaluation of cognitive radio in advanced metering infrastructure communication

Science.gov (United States)

Hiew, Yik-Kuan; Mohd Aripin, Norazizah; Din, Norashidah Md

2016-03-01

Smart grid is an intelligent electricity grid system. A reliable two-way communication system is required to transmit both critical and non-critical smart grid data. However, it is difficult to locate a huge chunk of dedicated spectrum for smart grid communications. Hence, cognitive radio based communication is applied. Cognitive radio allows smart grid users to access licensed spectrums opportunistically with the constraint of not causing harmful interference to licensed users. In this paper, a cognitive radio based smart grid communication framework is proposed. Smart grid framework consists of Home Area Network (HAN) and Advanced Metering Infrastructure (AMI), while AMI is made up of Neighborhood Area Network (NAN) and Wide Area Network (WAN). In this paper, the authors only report the findings for AMI communication. AMI is smart grid domain that comprises smart meters, data aggregator unit, and billing center. Meter data are collected by smart meters and transmitted to data aggregator unit by using cognitive 802.11 technique; data aggregator unit then relays the data to billing center using cognitive WiMAX and TV white space. The performance of cognitive radio in AMI communication is investigated using Network Simulator 2. Simulation results show that cognitive radio improves the latency and throughput performances of AMI. Besides, cognitive radio also improves spectrum utilization efficiency of WiMAX band from 5.92% to 9.24% and duty cycle of TV band from 6.6% to 10.77%.

High-Performance Compute Infrastructure in Astronomy: 2020 Is Only Months Away

Science.gov (United States)

Berriman, B.; Deelman, E.; Juve, G.; Rynge, M.; Vöckler, J. S.

2012-09-01

By 2020, astronomy will be awash with as much as 60 PB of public data. Full scientific exploitation of such massive volumes of data will require high-performance computing on server farms co-located with the data. Development of this computing model will be a community-wide enterprise that has profound cultural and technical implications. Astronomers must be prepared to develop environment-agnostic applications that support parallel processing. The community must investigate the applicability and cost-benefit of emerging technologies such as cloud computing to astronomy, and must engage the Computer Science community to develop science-driven cyberinfrastructure such as workflow schedulers and optimizers. We report here the results of collaborations between a science center, IPAC, and a Computer Science research institute, ISI. These collaborations may be considered pathfinders in developing a high-performance compute infrastructure in astronomy. These collaborations investigated two exemplar large-scale science-driver workflow applications: 1) Calculation of an infrared atlas of the Galactic Plane at 18 different wavelengths by placing data from multiple surveys on a common plate scale and co-registering all the pixels; 2) Calculation of an atlas of periodicities present in the public Kepler data sets, which currently contain 380,000 light curves. These products have been generated with two workflow applications, written in C for performance and designed to support parallel processing on multiple environments and platforms, but with different compute resource needs: the Montage image mosaic engine is I/O-bound, and the NASA Star and Exoplanet Database periodogram code is CPU-bound. Our presentation will report cost and performance metrics and lessons-learned for continuing development. Applicability of Cloud Computing: Commercial Cloud providers generally charge for all operations, including processing, transfer of input and output data, and for storage of data

Green(ing) infrastructure

CSIR Research Space (South Africa)

Van Wyk, Llewellyn V

2014-03-01

Full Text Available the generation of electricity from renewable sources such as wind, water and solar. Grey infrastructure – In the context of storm water management, grey infrastructure can be thought of as the hard, engineered systems to capture and convey runoff..., pumps, and treatment plants.  Green infrastructure reduces energy demand by reducing the need to collect and transport storm water to a suitable discharge location. In addition, green infrastructure such as green roofs, street trees and increased...

Towards sustainable infrastructure development in Africa : design principles and strategies for lifespan-based building performance

NARCIS (Netherlands)

Agyefi-Mensah, S.; Post, J.M.; Egmond - de Wilde De Ligny, van E.L.C.; Mohammadi, M.; Badu, E

2012-01-01

Societies and economies the world over develop on the wheels of infrastructure. In Africa, it accounts for about one-third to one-half of all public investment (Kessides, 1993). Significant about infrastructure in general, however is the fact that they have very long lives. Consequently, their

People at risk - nexus critical infrastructure and society

Science.gov (United States)

Heiser, Micha; Thaler, Thomas; Fuchs, Sven

2016-04-01

Strategic infrastructure networks include the highly complex and interconnected systems that are so vital to a city or state that any sudden disruption can result in debilitating impacts on human life, the economy and the society as a whole. Recently, various studies have applied complex network-based models to study the performance and vulnerability of infrastructure systems under various types of attacks and hazards - a major part of them is, particularly after the 9/11 incident, related to terrorism attacks. Here, vulnerability is generally defined as the performance drop of an infrastructure system under a given disruptive event. The performance can be measured by different metrics, which correspond to various levels of resilience. In this paper, we will address vulnerability and exposure of critical infrastructure in the Eastern Alps. The Federal State Tyrol is an international transport route and an essential component of the north-south transport connectivity in Europe. Any interruption of the transport flow leads to incommensurable consequences in terms of indirect losses, since the system does not feature redundant elements at comparable economic efficiency. Natural hazard processes such as floods, debris flows, rock falls and avalanches, endanger this infrastructure line, such as large flood events in 2005 or 2012, rock falls 2014, which had strong impacts to the critical infrastructure, such as disruption of the railway lines (in 2005 and 2012), highways and motorways (in 2014). The aim of this paper is to present how critical infrastructures as well as communities and societies are vulnerable and can be resilient against natural hazard risks and the relative cascading effects to different compartments (industrial, infrastructural, societal, institutional, cultural, etc.), which is the dominant by the type of hazard (avalanches, torrential flooding, debris flow, rock falls). Specific themes will be addressed in various case studies to allow cross

A simulation study of the impact of the public-private partnership strategy on the performance of transport infrastructure.

Science.gov (United States)

Huang, Zhengfeng; Zheng, Pengjun; Ma, Yanqiang; Li, Xuan; Xu, Wenjun; Zhu, Wanlu

2016-01-01

The choice of investment strategy has a great impact on the performance of transport infrastructure. Positive projects such as the "Subway plus Property" model in Hong Kong have created sustainable financial profits for the public transport projects. Owing to a series of public debt and other constraints, public-private partnership (PPP) was introduced as an innovative investment model to address this issue and help develop transport infrastructure. Yet, few studies provide a deeper understanding of relationships between PPP strategy and the performance of such transport projects (particularly the whole transport system). This paper defines the research scope as a regional network of freeway. With a popular PPP model, travel demand prediction method, and relevant parameters as input, agents in a simulation framework can simulate the choice of PPP freeway over time. The simulation framework can be used to analyze the relationship between the PPP strategy and performance of the regional freeway network. This study uses the Freeway Network of Yangtze River Delta (FN-YRD) in China as the context. The results demonstrate the value of using simulation models of complex transportation systems to help decision makers choose the right PPP projects. Such a tool is viewed as particularly important given the ongoing transformation of functions of the Chinese transportation sector, including franchise rights of transport projects, and freeway charging mechanism.

Explorations Around "Graceful Failure" in Transportation Infrastructure: Lessons Learned By the Infrastructure and Climate Network (ICNet)

Science.gov (United States)

Jacobs, J. M.; Thomas, N.; Mo, W.; Kirshen, P. H.; Douglas, E. M.; Daniel, J.; Bell, E.; Friess, L.; Mallick, R.; Kartez, J.; Hayhoe, K.; Croope, S.

2014-12-01

Recent events have demonstrated that the United States' transportation infrastructure is highly vulnerable to extreme weather events which will likely increase in the future. In light of the 60% shortfall of the $900 billion investment needed over the next five years to maintain this aging infrastructure, hardening of all infrastructures is unlikely. Alternative strategies are needed to ensure that critical aspects of the transportation network are maintained during climate extremes. Preliminary concepts around multi-tier service expectations of bridges and roads with reference to network capacity will be presented. Drawing from recent flooding events across the U.S., specific examples for roads/pavement will be used to illustrate impacts, disruptions, and trade-offs between performance during events and subsequent damage. This talk will also address policy and cultural norms within the civil engineering practice that will likely challenge the application of graceful failure pathways during extreme events.

Development in design of test infrastructure for ITER prototype cryoline test

International Nuclear Information System (INIS)

Ketan, Choukekar; Ritendra, Bhattacharya; Nitin, Shah; Muralidhara, Srinivasa; Himanshu, Kapoor; Pratik, Patel; Uday, Kumar; Biswanath, Sarkar

2015-01-01

The prototype cryoline (PTCL) for ITER is a representative cryoline from the complex network of all cryolines for the project. PTCL consist of six process pipes (of which four are operating at 4 K temperature level while two are operating at 80 K temperature level), thermal shield and outer vacuum jacket. PTCL will be tested for its thermal performance, mechanical integrity, leak tightness and functioning of components at cryogenic temperatures. The test infrastructure requirements for testing of PTCL have been identified based on the optimized test methodology. The best suited infrastructure option to test PTCL involves 80K system with helium compressor, test boxes, liquid helium Dewar, liquid nitrogen Dewar and interconnecting cryolines. Process study and various analyses have been performed to finalize the specifications of test infrastructure. The present work describes study on global thermo-hydraulic analysis of PTCL test infrastructure. Preliminary process simulation using the ASPEN HYSYS® has been performed to study the dynamic behavior of 80K system. (author)

Greening infrastructure

CSIR Research Space (South Africa)

Van Wyk, Llewellyn V

2014-10-01

Full Text Available The development and maintenance of infrastructure is crucial to improving economic growth and quality of life (WEF 2013). Urban infrastructure typically includes bulk services such as water, sanitation and energy (typically electricity and gas...

Flowscapes : Infrastructure as landscape, landscape as infrastructure. Graduation Lab Landscape Architecture 2012/2013

NARCIS (Netherlands)

Nijhuis, S.; Jauslin, D.; De Vries, C.

2012-01-01

Flowscapes explores infrastructure as a type of landscape and landscape as a type of infrastructure, and is focused on landscape architectonic design of transportation-, green- and water infrastructures. These landscape infrastructures are considered armatures for urban and rural development. With

Identification of critical locations across multiple infrastructures for terrorist actions

International Nuclear Information System (INIS)

Patterson, S.A.; Apostolakis, G.E.

2007-01-01

This paper presents a possible approach to ranking geographic regions that can influence multiple infrastructures. Once ranked, decision makers can determine whether these regions are critical locations based on their susceptibility to terrorist acts. We identify these locations by calculating a value for a geographic region that represents the combined values to the decision makers of all the infrastructures crossing through that region. These values, as well as the size of the geographic region, are conditional on an assumed destructive threat of a given size. In our case study, the threat is assumed to be minor, e.g., a bomb that can affect objects within 7 m of it. This approach first requires an assessment of the users of the system. During this assessment, each user is assigned a performance index (PI) based on the disutility of the loss of each infrastructure's resource via multi-attribute utility theory (MAUT). A Monte Carlo network analysis is then performed to develop importance measures (IM) for the elements of each infrastructure for their ability to service each user. We combine the IMs with the user PIs to a value that we call valued worth (VW) for each infrastructure's elements independently. Then we use spatial analysis techniques within a geographic information system (GIS) to combine the VWs of each infrastructure's elements in a geographic area, conditional on the threat, into a total value we call geographic valued worth (GVW). The GVW is displayed graphically in the GIS system in a color scheme that shows the numerical ranking of these geographic areas. The map and rankings are then submitted to the decision makers to better allocate anti-terrorism resources. A case study of this methodology is performed on the Massachusetts Institute of Technology (MIT) campus. The results of the study show how the methodology can bring attention to areas that are important when several infrastructures are considered, but may be ignored when infrastructures

Non Linear Programming (NLP) formulation for quantitative modeling of protein signal transduction pathways.

Science.gov (United States)

Mitsos, Alexander; Melas, Ioannis N; Morris, Melody K; Saez-Rodriguez, Julio; Lauffenburger, Douglas A; Alexopoulos, Leonidas G

2012-01-01

Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how signals propagate from one protein to the next and have led to the construction of models that simulate the cells response to environmental or other perturbations. Constrained fuzzy logic was recently introduced to train models to cell specific data to result in quantitative pathway models of the specific cellular behavior. There are two major issues in this pathway optimization: i) excessive CPU time requirements and ii) loosely constrained optimization problem due to lack of data with respect to large signaling pathways. Herein, we address both issues: the former by reformulating the pathway optimization as a regular nonlinear optimization problem; and the latter by enhanced algorithms to pre/post-process the signaling network to remove parts that cannot be identified given the experimental conditions. As a case study, we tackle the construction of cell type specific pathways in normal and transformed hepatocytes using medium and large-scale functional phosphoproteomic datasets. The proposed Non Linear Programming (NLP) formulation allows for fast optimization of signaling topologies by combining the versatile nature of logic modeling with state of the art optimization algorithms.

Non Linear Programming (NLP formulation for quantitative modeling of protein signal transduction pathways.

Directory of Open Access Journals (Sweden)

Alexander Mitsos

Full Text Available Modeling of signal transduction pathways plays a major role in understanding cells' function and predicting cellular response. Mathematical formalisms based on a logic formalism are relatively simple but can describe how signals propagate from one protein to the next and have led to the construction of models that simulate the cells response to environmental or other perturbations. Constrained fuzzy logic was recently introduced to train models to cell specific data to result in quantitative pathway models of the specific cellular behavior. There are two major issues in this pathway optimization: i excessive CPU time requirements and ii loosely constrained optimization problem due to lack of data with respect to large signaling pathways. Herein, we address both issues: the former by reformulating the pathway optimization as a regular nonlinear optimization problem; and the latter by enhanced algorithms to pre/post-process the signaling network to remove parts that cannot be identified given the experimental conditions. As a case study, we tackle the construction of cell type specific pathways in normal and transformed hepatocytes using medium and large-scale functional phosphoproteomic datasets. The proposed Non Linear Programming (NLP formulation allows for fast optimization of signaling topologies by combining the versatile nature of logic modeling with state of the art optimization algorithms.

76 FR 14590 - Defense Federal Acquisition Regulation Supplement; Safety of Facilities, Infrastructure, and...

Science.gov (United States)

2011-03-17

... makes it unlikely that a small business could afford to sustain the infrastructure required to perform...-AG73 Defense Federal Acquisition Regulation Supplement; Safety of Facilities, Infrastructure, and... facilities, infrastructure, and equipment that are intended for use by military or civilian personnel of the...

Conceptual Model of IT Infrastructure Capability and Its Empirical Justification

Institute of Scientific and Technical Information of China (English)

QI Xianfeng; LAN Boxiong; GUO Zhenwei

2008-01-01

Increasing importance has been attached to the value of information technology (IT) infrastructure in today's organizations. The development of efficacious IT infrastructure capability enhances business performance and brings sustainable competitive advantage. This study analyzed the IT infrastructure capability in a holistic way and then presented a concept model of IT capability. IT infrastructure capability was categorized into sharing capability, service capability, and flexibility. This study then empirically tested the model using a set of survey data collected from 145 firms. Three factors emerge from the factor analysis as IT flexibility, IT service capability, and IT sharing capability, which agree with those in the conceptual model built in this study.

Modelling the South African fruit export infrastructure: A case study

Directory of Open Access Journals (Sweden)

FG Ortmann

2006-06-01

Full Text Available A description is provided of work performed as part of the fruit logistics infrastructure project commissioned by the South African Deciduous Fruit Producers’ Trust and coordinated by the South African Council for Scientific and Industrial Research, as described in [Van Dyk FE & Maspero E, 2004, An analysis of the South African fruit logistics infrastructure, ORiON, 20(1, pp. 55–72]. After a brief introduction to the problem, two models (a single-commodity graph theoretic model and a multi-commodity mathematical programming model are derived for determining the maximal weekly flow or throughput of fresh fruit through the South African national export infrastructure. These models are solved for two extreme seasonal export scenarios and the solutions show that no export infrastructure expansion is required in the near future - observed bottlenecks are not fundamental to the infrastructure and its capacities, but are rather due to sub-optimal management and utilisation of the existing infrastructure.

Space-Based Information Infrastructure Architecture for Broadband Services

Science.gov (United States)

Price, Kent M.; Inukai, Tom; Razdan, Rajendev; Lazeav, Yvonne M.

1996-01-01

This study addressed four tasks: (1) identify satellite-addressable information infrastructure markets; (2) perform network analysis for space-based information infrastructure; (3) develop conceptual architectures; and (4) economic assessment of architectures. The report concludes that satellites will have a major role in the national and global information infrastructure, requiring seamless integration between terrestrial and satellite networks. The proposed LEO, MEO, and GEO satellite systems have satellite characteristics that vary widely. They include delay, delay variations, poorer link quality and beam/satellite handover. The barriers against seamless interoperability between satellite and terrestrial networks are discussed. These barriers are the lack of compatible parameters, standards and protocols, which are presently being evaluated and reduced.

Building a Natural Language Processing Tool to Identify Patients With High Clinical Suspicion for Kawasaki Disease from Emergency Department Notes.

Science.gov (United States)

Doan, Son; Maehara, Cleo K; Chaparro, Juan D; Lu, Sisi; Liu, Ruiling; Graham, Amanda; Berry, Erika; Hsu, Chun-Nan; Kanegaye, John T; Lloyd, David D; Ohno-Machado, Lucila; Burns, Jane C; Tremoulet, Adriana H

2016-05-01

Delayed diagnosis of Kawasaki disease (KD) may lead to serious cardiac complications. We sought to create and test the performance of a natural language processing (NLP) tool, the KD-NLP, in the identification of emergency department (ED) patients for whom the diagnosis of KD should be considered. We developed an NLP tool that recognizes the KD diagnostic criteria based on standard clinical terms and medical word usage using 22 pediatric ED notes augmented by Unified Medical Language System vocabulary. With high suspicion for KD defined as fever and three or more KD clinical signs, KD-NLP was applied to 253 ED notes from children ultimately diagnosed with either KD or another febrile illness. We evaluated KD-NLP performance against ED notes manually reviewed by clinicians and compared the results to a simple keyword search. KD-NLP identified high-suspicion patients with a sensitivity of 93.6% and specificity of 77.5% compared to notes manually reviewed by clinicians. The tool outperformed a simple keyword search (sensitivity = 41.0%; specificity = 76.3%). KD-NLP showed comparable performance to clinician manual chart review for identification of pediatric ED patients with a high suspicion for KD. This tool could be incorporated into the ED electronic health record system to alert providers to consider the diagnosis of KD. KD-NLP could serve as a model for decision support for other conditions in the ED. © 2016 by the Society for Academic Emergency Medicine.

Armenia - Irrigation Infrastructure

Data.gov (United States)

Millennium Challenge Corporation — This study evaluates irrigation infrastructure rehabilitation in Armenia. The study separately examines the impacts of tertiary canals and other large infrastructure...

A Multidisciplinary Research Framework on Green Schools: Infrastructure, Social Environment, Occupant Health, and Performance.

Science.gov (United States)

Magzamen, Sheryl; Mayer, Adam P; Barr, Stephanie; Bohren, Lenora; Dunbar, Brian; Manning, Dale; Reynolds, Stephen J; Schaeffer, Joshua W; Suter, Jordan; Cross, Jennifer E

2017-05-01

Sustainable school buildings hold much promise to reducing operating costs, improve occupant well-being and, ultimately, teacher and student performance. However, there is a scarcity of evidence on the effects of sustainable school buildings on health and performance indicators. We sought to create a framework for a multidisciplinary research agenda that links school facilities, health, and educational outcomes. We conducted a nonsystematic review of peer review publications, government documents, organizational documents, and school climate measurement instruments. We found that studies on the impact of physical environmental factors (air, lighting, and thermal comfort) on health and occupant performance are largely independent of research on the social climate. The current literature precludes the formation of understanding the causal relation among school facilities, social climate, occupant health, and occupant performance. Given the average age of current school facilities in the United States, construction of new school facilities or retrofits of older facilities will be a major infrastructure investment for many municipalities over the next several decades. Multidisciplinary research that seeks to understand the impact of sustainable design on the health and performance of occupants will need to include both an environmental science and social science perspective to inform best practices and quantification of benefits that go beyond general measures of costs savings from energy efficiencies. © 2017, American School Health Association.

Basic quantitative assessment of visual performance in patients with very low vision.

Science.gov (United States)

Bach, Michael; Wilke, Michaela; Wilhelm, Barbara; Zrenner, Eberhart; Wilke, Robert

2010-02-01

A variety of approaches to developing visual prostheses are being pursued: subretinal, epiretinal, via the optic nerve, or via the visual cortex. This report presents a method of comparing their efficacy at genuinely improving visual function, starting at no light perception (NLP). A test battery (a computer program, Basic Assessment of Light and Motion [BaLM]) was developed in four basic visual dimensions: (1) light perception (light/no light), with an unstructured large-field stimulus; (2) temporal resolution, with single versus double flash discrimination; (3) localization of light, where a wedge extends from the center into four possible directions; and (4) motion, with a coarse pattern moving in one of four directions. Two- or four-alternative, forced-choice paradigms were used. The participants' responses were self-paced and delivered with a keypad. The feasibility of the BaLM was tested in 73 eyes of 51 patients with low vision. The light and time test modules discriminated between NLP and light perception (LP). The localization and motion modules showed no significant response for NLP but discriminated between LP and hand movement (HM). All four modules reached their ceilings in the acuity categories higher than HM. BaLM results systematically differed between the very-low-acuity categories NLP, LP, and HM. Light and time yielded similar results, as did localization and motion; still, for assessing the visual prostheses with differing temporal characteristics, they are not redundant. The results suggest that this simple test battery provides a quantitative assessment of visual function in the very-low-vision range from NLP to HM.

Assessing the risk posed by natural hazards to infrastructures

Science.gov (United States)

Eidsvig, Unni Marie K.; Kristensen, Krister; Vidar Vangelsten, Bjørn

2017-03-01

This paper proposes a model for assessing the risk posed by natural hazards to infrastructures, with a focus on the indirect losses and loss of stability for the population relying on the infrastructure. The model prescribes a three-level analysis with increasing level of detail, moving from qualitative to quantitative analysis. The focus is on a methodology for semi-quantitative analyses to be performed at the second level. The purpose of this type of analysis is to perform a screening of the scenarios of natural hazards threatening the infrastructures, identifying the most critical scenarios and investigating the need for further analyses (third level). The proposed semi-quantitative methodology considers the frequency of the natural hazard, different aspects of vulnerability, including the physical vulnerability of the infrastructure itself, and the societal dependency on the infrastructure. An indicator-based approach is applied, ranking the indicators on a relative scale according to pre-defined ranking criteria. The proposed indicators, which characterise conditions that influence the probability of an infrastructure malfunctioning caused by a natural event, are defined as (1) robustness and buffer capacity, (2) level of protection, (3) quality/level of maintenance and renewal, (4) adaptability and quality of operational procedures and (5) transparency/complexity/degree of coupling. Further indicators describe conditions influencing the socio-economic consequences of the infrastructure malfunctioning, such as (1) redundancy and/or substitution, (2) cascading effects and dependencies, (3) preparedness and (4) early warning, emergency response and measures. The aggregated risk estimate is a combination of the semi-quantitative vulnerability indicators, as well as quantitative estimates of the frequency of the natural hazard, the potential duration of the infrastructure malfunctioning (e.g. depending on the required restoration effort) and the number of users of

Participation of financial institutions in project financing of infrastructure projects

Directory of Open Access Journals (Sweden)

Benković Slađana

2012-03-01

Full Text Available Infrastructure investing makes up a significant part of the financial institutions portfolio, and contributes to creating long-term assets cash flows. In addition, infrastructure assets are relatively inelastic in demand and price, and as such the asset has a good performance during the economic downturn. Properly structured infrastructure investments contribute to the diversification of the portfolio, due to the lack of correlation with the yield on bonds, stocks and real estate, and offer good protection against inflation. Applying the concept of project financing involves the application of the most advanced financial techniques and products that are able to ensure only credible international financial institutions and companies. Paper attempts to indicate the presence of financial institutions in project financing of infrastructure, as well as the benefits of this concept in expected to finance infrastructure in Serbia.

Perancangan dan Analisis Kinerja Private Cloud Computing dengan Layanan Infrastructure-As-A-Service (IAAS

Directory of Open Access Journals (Sweden)

Wikranta Arsa

2014-07-01

Abstract  Server machine is one of the main components in supporting and developing a web-based scientific work. The high price of the server to be the main obstacle in the student produced a scholarly work. Server configuration that can be done anywhere and anytime to be a fundamental desire, in addition to the booking engine is easy, fast, and flexible is also highly desirable. For that we need a system that can handle these problems. Cloud computing with Infrastructure-As-A-Serveice (IAAS can provide a reliable infrastructure. To determine the performance of the system, we required a performance analysis of cloud server between conventional servers. Results of performance analysis of private cloud computing with Infrastructure-As-A-Service (IAAS indicate that the cloud server performance comparison with conventional server is not too much different and the system resource usage level servers provide more leverage.   Keyword—Cloud Computing, Infrastructure As-A-Service (IAAS, Performance Analysis.

Performance and carcass characteristics of guinea fowl fed on dietary Neem (Azadirachta indica) leaf powder as a growth promoter.

Science.gov (United States)

Singh, M K; Singh, S K; Sharma, R K; Singh, B; Kumar, Sh; Joshi, S K; Kumar, S; Sathapathy, S

2015-01-01

The present work aimed at studying growth pattern and carcass traits in pearl grey guinea fowl fed on dietary Neem (Azadirachta indica) leaf powder (NLP) over a period of 12 weeks. Day old guinea fowl keets (n=120) were randomly assigned to four treatment groups, each with 3 replicates. The first treatment was designated as control (T0) in which no supplement was added to the feed, while in treatments T1, T2 and T3, NLP was provided as 1, 2 and 3 g per kg of feed, respectively. The results revealed a significant increase in body weight at 12 weeks; 1229.7 for T1, 1249.8 for T2, and 1266.2 g T3 compared to 1220.0 g for the control group (Pratio (FCR) of the treated groups over the control, showing that feeding NLP to the treated groups has lowered their residual feed efficiency. The results of the study demonstrate the beneficial effects of supplementing NLP on body weight gain and dressed yield in the treated groups in guinea fowl. NLP is, therefore, suggested to be used as a feed supplement in guinea fowl for higher profitability.

A flexible tool for hydraulic and water quality performance analysis of green infrastructure

Science.gov (United States)

Massoudieh, A.; Alikhani, J.

2017-12-01

Models that allow for design considerations of green infrastructure (GI) practices to control stormwater runoff and associated contaminants have received considerable attention in recent years. To be used to evaluate the effect design configurations on the long-term performance of GIs, models should be able to consider processes within GIs with good fidelity. In this presentation, a sophisticated, yet flexible tool for hydraulic and water quality assessment of GIs will be introduced. The tool can be used by design engineers and researchers to capture and explore the effect of design factors and properties of the media employed in the performance of GI systems at a relatively small scale. We deemed it essential to have a flexible GI modeling tool that is capable of simulating GI system components and specific biogeochemical processes affecting contaminants such as evapotranspiration, plant uptake, reactions, and particle-associated transport accurately while maintaining a high degree of flexibility to account for the myriad of GI alternatives. The mathematical framework for a stand-alone GI performance assessment tool has been developed and will be demonstrated. The process-based model framework developed here can be used to model a diverse range of GI practices such as stormwater ponds, green roofs, retention ponds, bioretention systems, infiltration trench, permeable pavement and other custom-designed combinatory systems. An example of the application of the system to evaluate the performance of a rain-garden system will be demonstrated.

QUALITY IMPLICATIONS OF LEARNING INFRASTRUCTURE ON PERFORMANCE IN SECONDARY EDUCATION: A SMALL SCALE STUDY OF A COUNTY IN KENYA

OpenAIRE

Omae, Nelson Siocha; Henry Onderi; Mwebi Benard

2017-01-01

Learning infrastructure is a key base for effective teaching and learning in schools. The infrastructure forms a very important component in ensuring successful education. The purpose of the study was to evaluate quality implications of learning infrastructure on secondary education in a County in Kenya. The objective of the study was to explore the quality implications of learning infrastructure on secondary education. The study employed the Production Function Theory. The study adopted s...

TRANSPORT INFRASTRUCTURE OF UKRAINE: THE MODERN REALITIES AND DEVELOPMENT PROSPECTS

Directory of Open Access Journals (Sweden)

Tetiana Stroiko

2017-11-01

Full Text Available The purpose of the article is to conduct a complex research of the state of transport structure of Ukraine and substantiate prospects of its development. The developed transport system and corresponding infrastructure are a guarantee of high level of the country’s development, increasing the level of its investing attractiveness. Moreover, transport infrastructure serves as a uniting factor in the process of integration. Thus, the main function of transport infrastructure is the formation of external conditions for the management of economic entities. It is determined that the development of a state directly depends on how efficiently it performs management in different spheres. First of all, it concerns transport infrastructure. Today, the global trends necessitate constant perfection of management of transport infrastructure, in particular, investment attraction. The state and development level of transport infrastructure is one of the most important factors of socio-economic development of both member states of the European Union and Ukraine. Transport infrastructure occupies a services market sector with a market share of 75%. And in the macroeconomic context, the share of transport infrastructure in the overall volume of gross domestic product of Ukraine is 7%. In the modern management conditions, a negative dynamics of transportation and its share in the gross domestic product of Ukraine are determined mostly by the influence of economic crisis processes and negative state of development of transport infrastructure of the country. For the evaluation of activities of transport of Ukraine, we used the main indicators of its performance as criteria. The main criteria of performance evaluation of transport are: the volume of cargo transportation, cargo turnover, the ratio of modes of transport in cargo transportation, the volume of passenger transportation, passenger turnover, the cost of transportation, the ratio of passenger and cargo

Access control infrastructure for on-demand provisioned virtualised infrastructure services

NARCIS (Netherlands)

Demchenko, Y.; Ngo, C.; de Laat, C.; Smari, W.W.; Fox, G.C.

2011-01-01

Cloud technologies are emerging as a new way of provisioning virtualised computing and infrastructure services on-demand for collaborative projects and groups. Security in provisioning virtual infrastructure services should address two general aspects: supporting secure operation of the provisioning

Sustainable Water Infrastructure

Science.gov (United States)

Resources for state and local environmental and public health officials, and water, infrastructure and utility professionals to learn about sustainable water infrastructure, sustainable water and energy practices, and their role.

The Evolving Genetics of Green Infrastructure Implementation (Invited)

Science.gov (United States)

Ballestero, T. P.; Watts, A. W.; Houle, J. J.; Puls, T. A.

2013-12-01

Urbanization radically alters hydrology, with impacts from very local to regional scales. Green Infrastructure techniques use natural processes to restore hydrologic function, and provide multiple companion benefits such as energy savings, increased green space, improved ecosystems, etc. Although science can clearly demonstrate the benefits and cost saving associated with Green Infrastructure (see for example Forging The Link http://www.unh.edu/unhsc/forgingthelink ), many community decision makers continue to be reluctant to incorporate these more effective methods into standard planning practices. In spite of the wealth of evidence, communities are very slow to codify and adopt the practices, commonly waiting for regulatory or legal directives to force them down the path. Barriers to implementation include misconceptions of performance, reliability and cost, often fed by a local ';expert' who is trusted member of the community. For Green Infrastructure to be effective, implementation must become a standard practice, rather than an innovation; the methods and concepts must be integrated into planning DNA. Fundamentally, successful green infrastructure implementation comes down to changing behavior, perceptions, and priorities, and fostering trust in the science. We will present: data on the cost and effectiveness of using Green Infrastructure to restore damaged urban hydrology, incorporating methods into urban planning tools, and an ongoing science collaborative project engaging stakeholders directly in the development and optimization of Green Infrastructure tools.

Building a High Performance Computing Infrastructure for Novosibirsk Scientific Center

International Nuclear Information System (INIS)

Adakin, A; Chubarov, D; Nikultsev, V; Belov, S; Kaplin, V; Sukharev, A; Zaytsev, A; Kalyuzhny, V; Kuchin, N; Lomakin, S

2011-01-01

Novosibirsk Scientific Center (NSC), also known worldwide as Akademgorodok, is one of the largest Russian scientific centers hosting Novosibirsk State University (NSU) and more than 35 research organizations of the Siberian Branch of Russian Academy of Sciences including Budker Institute of Nuclear Physics (BINP), Institute of Computational Technologies (ICT), and Institute of Computational Mathematics and Mathematical Geophysics (ICM and MG). Since each institute has specific requirements on the architecture of the computing farms involved in its research field, currently we've got several computing facilities hosted by NSC institutes, each optimized for the particular set of tasks, of which the largest are the NSU Supercomputer Center, Siberian Supercomputer Center (ICM and MG), and a Grid Computing Facility of BINP. Recently a dedicated optical network with the initial bandwidth of 10 Gbps connecting these three facilities was built in order to make it possible to share the computing resources among the research communities of participating institutes, thus providing a common platform for building the computing infrastructure for various scientific projects. Unification of the computing infrastructure is achieved by extensive use of virtualization technologies based on XEN and KVM platforms. The solution implemented was tested thoroughly within the computing environment of KEDR detector experiment which is being carried out at BINP, and foreseen to be applied to the use cases of other HEP experiments in the upcoming future.

CLAMP - a toolkit for efficiently building customized clinical natural language processing pipelines.

Science.gov (United States)

Soysal, Ergin; Wang, Jingqi; Jiang, Min; Wu, Yonghui; Pakhomov, Serguei; Liu, Hongfang; Xu, Hua

2017-11-24

Existing general clinical natural language processing (NLP) systems such as MetaMap and Clinical Text Analysis and Knowledge Extraction System have been successfully applied to information extraction from clinical text. However, end users often have to customize existing systems for their individual tasks, which can require substantial NLP skills. Here we present CLAMP (Clinical Language Annotation, Modeling, and Processing), a newly developed clinical NLP toolkit that provides not only state-of-the-art NLP components, but also a user-friendly graphic user interface that can help users quickly build customized NLP pipelines for their individual applications. Our evaluation shows that the CLAMP default pipeline achieved good performance on named entity recognition and concept encoding. We also demonstrate the efficiency of the CLAMP graphic user interface in building customized, high-performance NLP pipelines with 2 use cases, extracting smoking status and lab test values. CLAMP is publicly available for research use, and we believe it is a unique asset for the clinical NLP community. © The Author 2017. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Infrastructure for China’s Ecologically Balanced Civilization†

Directory of Open Access Journals (Sweden)

Chris Kennedy

2016-12-01

away from coal will avoid some industrial treatment costs. The contribution of engineers in planning, designing, and constructing China’s new green infrastructure will be furthered by understanding the broad policy context and the interactions between land use, infrastructure, and environmental performance.

Growing the Blockchain information infrastructure

DEFF Research Database (Denmark)

Jabbar, Karim; Bjørn, Pernille

2017-01-01

In this paper, we present ethnographic data that unpacks the everyday work of some of the many infrastructuring agents who contribute to creating, sustaining and growing the Blockchain information infrastructure. We argue that this infrastructuring work takes the form of entrepreneurial actions......, which are self-initiated and primarily directed at sustaining or increasing the initiator’s stake in the emerging information infrastructure. These entrepreneurial actions wrestle against the affordances of the installed base of the Blockchain infrastructure, and take the shape of engaging...... or circumventing activities. These activities purposefully aim at either influencing or working around the enablers and constraints afforded by the Blockchain information infrastructure, as its installed base is gaining inertia. This study contributes to our understanding of the purpose of infrastructuring, seen...

Monitoring Line-Infrastructure With Multisensor SAR Interferometry : Products and Performance Assessment Metrics

NARCIS (Netherlands)

Chang, L.; Dollevoet, R.P.B.J.; Hanssen, R.F.

2018-01-01

Satellite radar interferometry (InSAR) is an emerging technique to monitor the stability and health of line-infrastructure assets, such as railways, dams, and pipelines. However, InSAR is an opportunistic approach as the location and occurrence of its measurements (coherent scatterers) cannot be

INFRASTRUCTURE

CERN Multimedia

A. Gaddi and P. Tropea

2012-01-01

The CMS Infrastructures teams are preparing for the LS1 activities. A long list of maintenance, consolidation and upgrade projects for CMS Infrastructures is on the table and is being discussed among Technical Coordination and sub-detector representatives. Apart from the activities concerning the cooling infrastructures (see below), two main projects have started: the refurbishment of the SX5 building, from storage area to RP storage and Muon stations laboratory; and the procurement of a new dry-gas (nitrogen and dry air) plant for inner detector flushing. We briefly present here the work done on the first item, leaving the second one for the next CMS Bulletin issue. The SX5 building is entering its third era, from main assembly building for CMS from 2000 to 2007, to storage building from 2008 to 2012, to RP storage and Muon laboratory during LS1 and beyond. A wall of concrete blocks has been erected to limit the RP zone, while the rest of the surface has been split between the ME1/1 and the CSC/DT laborat...

Failure to adapt infrastructure: is legal liability lurking for infrastructure stakeholders

International Nuclear Information System (INIS)

Gherbaz, S.

2009-01-01

'Full text:' Very little attention has been paid to potential legal liability for failing to adapt infrastructure to climate change-related risk. Amendments to laws, building codes and standards to take into account the potential impact of climate change on infrastructure assets are still at least some time away. Notwithstanding that amendments are still some time away, there is a real risk to infrastructure stakeholders for failing to adapt. The legal framework in Canada currently permits a court, in the right circumstances, to find certain infrastructure stakeholders legally liable for personal injury and property damage suffered by third parties as a result of climate change effects. This presentation will focus on legal liability of owners (governmental and private sector), engineers, architects and contractors for failing to adapt infrastructure assets to climate change risk. It will answer commonly asked questions such as: Can I avoid liability by complying with existing laws, codes and standards? Do engineers and architects have a duty to warn owners that existing laws, codes and standards do not, in certain circumstances, adequately take into account the impact of climate change-related risks on an infrastructure asset? And do professional liability insurance policies commonly maintained by architects, engineers and other design professionals provide coverage for a design professional's failure to take into account climate change-related risks?. (author)

Can Sensors Solve the Deterioration Problems of Public Infrastructure?

Science.gov (United States)

Miki, Chitoshi

2014-11-01

Various deteriorations are detected in public infrastructures, such as bridges, viaducts, piers and tunnels and caused fatal accidents in some cases. The possibility of the applications of health monitoring by using sensors is the issues of this lecture. The inspection and diagnosis are essential in the maintenance works which include appropriate rehabilitations and replacements. The introduction of monitoring system may improve accuracy and efficiency of inspection and diagnosis. This seems to be innovation of maintenance, old structures may change smart structures by the installation of nerve network and brain, specifically. Cost- benefit viewpoint is also important point, because of public infrastructures. The modes of deterioration are fatigue, corrosion, and delayed fracture in steel, and carbonization and alkali aggregate reaction in concrete. These are like adult disease in human bodies. The developments of Infrastructures in Japan were concentrated in the 1960th and 1970th. These ages are approaching 50 and deterioration due to aging has been progress gradually. The attacks of earthquakes are also a major issue. Actually, these infrastructures have been supporting economic and social activities in Japan and the deterioration of public infrastructure has become social problems. How to secure the same level of safety and security for all public infrastructures is the challenge we face now. The targets of monitoring are external disturbances such as traffic loads, earthquakes, winds, temperature, responses against external disturbances, and the changes of performances. In the monitoring of infrastructures, 3W1H(WHAT, WHERE, WHEN and HOW) are essential, that is what kind of data are necessary, where sensors place, when data are collected, and how to collect and process data. The required performances of sensors are accuracy, stability for long time. In the case of long term monitoring, the durability of systems needs more than five years, because the interval

Can Sensors Solve the Deterioration Problems of Public Infrastructure?

International Nuclear Information System (INIS)

Miki, Chitoshi

2014-01-01

Various deteriorations are detected in public infrastructures, such as bridges, viaducts, piers and tunnels and caused fatal accidents in some cases. The possibility of the applications of health monitoring by using sensors is the issues of this lecture. The inspection and diagnosis are essential in the maintenance works which include appropriate rehabilitations and replacements. The introduction of monitoring system may improve accuracy and efficiency of inspection and diagnosis. This seems to be innovation of maintenance, old structures may change smart structures by the installation of nerve network and brain, specifically. Cost- benefit viewpoint is also important point, because of public infrastructures. The modes of deterioration are fatigue, corrosion, and delayed fracture in steel, and carbonization and alkali aggregate reaction in concrete. These are like adult disease in human bodies. The developments of Infrastructures in Japan were concentrated in the 1960th and 1970th. These ages are approaching 50 and deterioration due to aging has been progress gradually. The attacks of earthquakes are also a major issue. Actually, these infrastructures have been supporting economic and social activities in Japan and the deterioration of public infrastructure has become social problems. How to secure the same level of safety and security for all public infrastructures is the challenge we face now. The targets of monitoring are external disturbances such as traffic loads, earthquakes, winds, temperature, responses against external disturbances, and the changes of performances. In the monitoring of infrastructures, 3W1H(WHAT, WHERE, WHEN and HOW) are essential, that is what kind of data are necessary, where sensors place, when data are collected, and how to collect and process data. The required performances of sensors are accuracy, stability for long time. In the case of long term monitoring, the durability of systems needs more than five years, because the interval

Architectural Building A Public Key Infrastructure Integrated Information Space

Directory of Open Access Journals (Sweden)

Vadim Ivanovich Korolev

2015-10-01

Full Text Available The article keeps under consideration the mattersto apply the cryptographic system having a public key to provide information security and to implya digital signature. It performs the analysis of trust models at the formation of certificates and their use. The article describes the relationships between the trust model and the architecture public key infrastructure. It contains conclusions in respect of the options for building the public key infrastructure for integrated informationspace.

A cyber infrastructure for the SKA Telescope Manager

Science.gov (United States)

Barbosa, Domingos; Barraca, João. P.; Carvalho, Bruno; Maia, Dalmiro; Gupta, Yashwant; Natarajan, Swaminathan; Le Roux, Gerhard; Swart, Paul

2016-07-01

The Square Kilometre Array Telescope Manager (SKA TM) will be responsible for assisting the SKA Operations and Observation Management, carrying out System diagnosis and collecting Monitoring and Control data from the SKA subsystems and components. To provide adequate compute resources, scalability, operation continuity and high availability, as well as strict Quality of Service, the TM cyber-infrastructure (embodied in the Local Infrastructure - LINFRA) consists of COTS hardware and infrastructural software (for example: server monitoring software, host operating system, virtualization software, device firmware), providing a specially tailored Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) solution. The TM infrastructure provides services in the form of computational power, software defined networking, power, storage abstractions, and high level, state of the art IaaS and PaaS management interfaces. This cyber platform will be tailored to each of the two SKA Phase 1 telescopes (SKA_MID in South Africa and SKA_LOW in Australia) instances, each presenting different computational and storage infrastructures and conditioned by location. This cyber platform will provide a compute model enabling TM to manage the deployment and execution of its multiple components (observation scheduler, proposal submission tools, MandC components, Forensic tools and several Databases, etc). In this sense, the TM LINFRA is primarily focused towards the provision of isolated instances, mostly resorting to virtualization technologies, while defaulting to bare hardware if specifically required due to performance, security, availability, or other requirement.

Green infrastructure: a natural systems approach to stormwater in the city

Directory of Open Access Journals (Sweden)

Nathaniel S. Cormier

2008-06-01

Full Text Available This paper presents diverse typologies of urban open space designed as green infrastructure in the american cities of Seattle and Portland. In these cities of the Pacific Northwest, landscape design is viewed as much more than mere beautification of the urban environment, but as pieces of a high-performance infrastructure that protects and even improves urban hydrology, climate, and ecology. Green infrastructure is a landscape approach that creates a distinctive local landscape identity and a more sustainable urban environment.

California Plug-In Electric Vehicle Infrastructure Projections: 2017-2025 - Future Infrastructure Needs for Reaching the State's Zero Emission-Vehicle Deployment Goals

Energy Technology Data Exchange (ETDEWEB)

Wood, Eric W [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Rames, Clement L [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Bedir, Abdulkadir [California Energy Commission; Crisostomo, Noel [California Energy Commission; Allen, Jennifer [California Energy Commission

2018-03-27

This report analyzes plug-in electric vehicle (PEV) infrastructure needs in California from 2017 to 2025 in a scenario where the State's zero-emission vehicle (ZEV) deployment goals are achieved by household vehicles. The statewide infrastructure needs are evaluated by using the Electric Vehicle Infrastructure Projection tool, which incorporates representative statewide travel data from the 2012 California Household Travel Survey. The infrastructure solution presented in this assessment addresses two primary objectives: (1) enabling travel for battery electric vehicles and (2) maximizing the electric vehicle-miles traveled for plug-in hybrid electric vehicles. The analysis is performed at the county-level for each year between 2017 and 2025 while considering potential technology improvements. The results from this study present an infrastructure solution that can facilitate market growth for PEVs to reach the State's ZEV goals by 2025. The overall results show a need for 99k-130k destination chargers, including workplaces and public locations, and 9k-25k fast chargers. The results also show a need for dedicated or shared residential charging solutions at multi-family dwellings, which are expected to host about 120k PEVs by 2025. An improvement to the scientific literature, this analysis presents the significance of infrastructure reliability and accessibility on the quantification of charger demand.

MFC Communications Infrastructure Study

Energy Technology Data Exchange (ETDEWEB)

Michael Cannon; Terry Barney; Gary Cook; George Danklefsen, Jr.; Paul Fairbourn; Susan Gihring; Lisa Stearns

2012-01-01

Unprecedented growth of required telecommunications services and telecommunications applications change the way the INL does business today. High speed connectivity compiled with a high demand for telephony and network services requires a robust communications infrastructure.   The current state of the MFC communication infrastructure limits growth opportunities of current and future communication infrastructure services. This limitation is largely due to equipment capacity issues, aging cabling infrastructure (external/internal fiber and copper cable) and inadequate space for telecommunication equipment. While some communication infrastructure improvements have been implemented over time projects, it has been completed without a clear overall plan and technology standard.   This document identifies critical deficiencies with the current state of the communication infrastructure in operation at the MFC facilities and provides an analysis to identify needs and deficiencies to be addressed in order to achieve target architectural standards as defined in STD-170. The intent of STD-170 is to provide a robust, flexible, long-term solution to make communications capabilities align with the INL mission and fit the various programmatic growth and expansion needs.

Infrastructure: concept, types and value

Directory of Open Access Journals (Sweden)

Alexander E. Lantsov

2013-01-01

Full Text Available Researches of influence of infrastructure on the economic growth and development of the countries gained currency. However the majority of authors drop the problem of definition of accurate concept of studied object and its criteria out. In the given article various approaches in the definition of «infrastructure» concept, criterion and the characteristics of infrastructure distinguishing it from other capital assets are presented. Such types of infrastructure, as personal, institutional, material, production, social, etc. are considered. Author’s definition of infrastructure is given.

Analyzing water/wastewater infrastructure interdependencies

International Nuclear Information System (INIS)

Gillette, J. L.; Fisher, R. E.; Peerenboom, J. P.; Whitfield, R. G.

2002-01-01

This paper describes four general categories of infrastructure interdependencies (physical, cyber, geographic, and logical) as they apply to the water/wastewater infrastructure, and provides an overview of one of the analytic approaches and tools used by Argonne National Laboratory to evaluate interdependencies. Also discussed are the dimensions of infrastructure interdependency that create spatial, temporal, and system representation complexities that make analyzing the water/wastewater infrastructure particularly challenging. An analytical model developed to incorporate the impacts of interdependencies on infrastructure repair times is briefly addressed

Regulation of gas infrastructure expansion

International Nuclear Information System (INIS)

De Joode, J.

2012-01-01

The topic of this dissertation is the regulation of gas infrastructure expansion in the European Union (EU). While the gas market has been liberalised, the gas infrastructure has largely remained in the regulated domain. However, not necessarily all gas infrastructure facilities - such as gas storage facilities, LNG import terminals and certain gas transmission pipelines - need to be regulated, as there may be scope for competition. In practice, the choice of regulation of gas infrastructure expansion varies among different types of gas infrastructure facilities and across EU Member States. Based on a review of economic literature and on a series of in-depth case studies, this study explains these differences in choices of regulation from differences in policy objectives, differences in local circumstances and differences in the intrinsic characteristics of the infrastructure projects. An important conclusion is that there is potential for a larger role for competition in gas infrastructure expansion.

Algorithms for Bayesian network modeling and reliability assessment of infrastructure systems

International Nuclear Information System (INIS)

Tien, Iris; Der Kiureghian, Armen

2016-01-01

Novel algorithms are developed to enable the modeling of large, complex infrastructure systems as Bayesian networks (BNs). These include a compression algorithm that significantly reduces the memory storage required to construct the BN model, and an updating algorithm that performs inference on compressed matrices. These algorithms address one of the major obstacles to widespread use of BNs for system reliability assessment, namely the exponentially increasing amount of information that needs to be stored as the number of components in the system increases. The proposed compression and inference algorithms are described and applied to example systems to investigate their performance compared to that of existing algorithms. Orders of magnitude savings in memory storage requirement are demonstrated using the new algorithms, enabling BN modeling and reliability analysis of larger infrastructure systems. - Highlights: • Novel algorithms developed for Bayesian network modeling of infrastructure systems. • Algorithm presented to compress information in conditional probability tables. • Updating algorithm presented to perform inference on compressed matrices. • Algorithms applied to example systems to investigate their performance. • Orders of magnitude savings in memory storage requirement demonstrated.

Cloud Application Architectures Building Applications and Infrastructure in the Cloud

CERN Document Server

Reese, George

2009-01-01

If you're involved in planning IT infrastructure as a network or system architect, system administrator, or developer, this book will help you adapt your skills to work with these highly scalable, highly redundant infrastructure services. Cloud Application Architectures will help you determine whether and how to put your applications into these virtualized services, with critical guidance on issues of cost, availability, performance, scaling, privacy, and security.

Safeguarding information intensive critical infrastructures against novel types of emerging failures

International Nuclear Information System (INIS)

Balducelli, C.; Bologna, S.; Lavalle, L.; Vicoli, G.

2007-01-01

The complexity of information intensive critical infrastructures, like electricity networks, telecommunication networks and public transportation networks is today augmented much more than in the past: such complexity augments the number of possible failures and anomalous working conditions and consequently decreases the survivability of the infrastructures. In this paper, the possibility is investigated to detect early anomalies and failures inside information intensive critical infrastructures by the introduction of anomaly detectors being 'self-aware' about the normal working conditions of the infrastructure itself. This approach has the objective to improve the performance of the most popular signature-based algorithms for intrusion detection, and makes use of different classes of time-oriented algorithms based on artificial intelligence paradigm. It has the advantage to work also in presence of unknown and unexpected types of attacks or failures. The tests, to evaluate the performance of the utilised detectors, are executed inside an emulated supervisory control and data acquisition (SCADA) system of an electrical power transmission grid, and a proposal for the future integration inside real SCADA systems is also reported

Safeguarding information intensive critical infrastructures against novel types of emerging failures

Energy Technology Data Exchange (ETDEWEB)

Balducelli, C. [ENEA-Italian National Agency for new Technology, Energy and the Environment Via Anguillasere 301, 00060 Rome (Italy)]. E-mail: claudio.balducelli@casaccia.enea.it; Bologna, S. [ENEA-Italian National Agency for new Technology, Energy and the Environment Via Anguillasere 301, 00060 Rome (Italy); Lavalle, L. [ENEA-Italian National Agency for new Technology, Energy and the Environment Via Anguillasere 301, 00060 Rome (Italy); Vicoli, G. [ENEA-Italian National Agency for new Technology, Energy and the Environment Via Anguillasere 301, 00060 Rome (Italy)

2007-09-15

The complexity of information intensive critical infrastructures, like electricity networks, telecommunication networks and public transportation networks is today augmented much more than in the past: such complexity augments the number of possible failures and anomalous working conditions and consequently decreases the survivability of the infrastructures. In this paper, the possibility is investigated to detect early anomalies and failures inside information intensive critical infrastructures by the introduction of anomaly detectors being 'self-aware' about the normal working conditions of the infrastructure itself. This approach has the objective to improve the performance of the most popular signature-based algorithms for intrusion detection, and makes use of different classes of time-oriented algorithms based on artificial intelligence paradigm. It has the advantage to work also in presence of unknown and unexpected types of attacks or failures. The tests, to evaluate the performance of the utilised detectors, are executed inside an emulated supervisory control and data acquisition (SCADA) system of an electrical power transmission grid, and a proposal for the future integration inside real SCADA systems is also reported.

Building safeguards infrastructure

International Nuclear Information System (INIS)

Stevens, Rebecca S.; McClelland-Kerr, John

2009-01-01

Much has been written in recent years about the nuclear renaissance - the rebirth of nuclear power as a clean and safe source of electricity around the world. Those who question the nuclear renaissance often cite the risk of proliferation, accidents or an attack on a facility as concerns, all of which merit serious consideration. The integration of these three areas - sometimes referred to as 3S, for safety, security and safeguards - is essential to supporting the growth of nuclear power, and the infrastructure that supports them should be strengthened. The focus of this paper will be on the role safeguards plays in the 3S concept and how to support the development of the infrastructure necessary to support safeguards. The objective of this paper has been to provide a working definition of safeguards infrastructure, and to discuss xamples of how building safeguards infrastructure is presented in several models. The guidelines outlined in the milestones document provide a clear path for establishing both the safeguards and the related infrastructures needed to support the development of nuclear power. The model employed by the INSEP program of engaging with partner states on safeguards-related topics that are of current interest to the level of nuclear development in that state provides another way of approaching the concept of building safeguards infrastructure. The Next Generation Safeguards Initiative is yet another approach that underscored five principal areas for growth, and the United States commitment to working with partners to promote this growth both at home and abroad.

Research infrastructures of pan-European interest: The EU and Global issues

Energy Technology Data Exchange (ETDEWEB)

Pero, Herve, E-mail: Herve.Pero@ec.europa.e [' Research Infrastructures' Unit, DG Research, European Commission, Brussels (Belgium)

2011-01-21

Research Infrastructures act as 'knowledge industries' for the society and as a source of attraction for world scientists. At European level, the long-term objective is to support an efficient and world-class eco-system of Research Infrastructures, encompassing not only the large single-site facilities but also distributed research infrastructures, based on a network of 'regional partner facilities', with strong links with world-class universities and centres of excellence. The EC support activities help to promote the development of this fabric of research infrastructures of the highest quality and performance in Europe. Since 2002 ESFRI is also aimed at supporting a coherent approach to policy-making on research infrastructures. The European Roadmap for Research Infrastructures is ESFRI's most significant achievement to date, and KM3Net is one of its identified projects. The current Community support to the Preparatory Phase of this project aims at solving mainly governance, financial, organisational and legal issues. How should KM3Net help contributing to an efficient Research Infrastructure eco-system? This is the question to which the KM3Net stakeholders need to be able to answer very soon!

Research infrastructures of pan-European interest: The EU and Global issues

International Nuclear Information System (INIS)

Pero, Herve

2011-01-01

Research Infrastructures act as 'knowledge industries' for the society and as a source of attraction for world scientists. At European level, the long-term objective is to support an efficient and world-class eco-system of Research Infrastructures, encompassing not only the large single-site facilities but also distributed research infrastructures, based on a network of 'regional partner facilities', with strong links with world-class universities and centres of excellence. The EC support activities help to promote the development of this fabric of research infrastructures of the highest quality and performance in Europe. Since 2002 ESFRI is also aimed at supporting a coherent approach to policy-making on research infrastructures. The European Roadmap for Research Infrastructures is ESFRI's most significant achievement to date, and KM3Net is one of its identified projects. The current Community support to the Preparatory Phase of this project aims at solving mainly governance, financial, organisational and legal issues. How should KM3Net help contributing to an efficient Research Infrastructure eco-system? This is the question to which the KM3Net stakeholders need to be able to answer very soon!

Research infrastructures of pan-European interest: The EU and Global issues

Science.gov (United States)

Pero, Hervé

2011-01-01

Research Infrastructures act as “knowledge industries” for the society and as a source of attraction for world scientists. At European level, the long-term objective is to support an efficient and world-class eco-system of Research Infrastructures, encompassing not only the large single-site facilities but also distributed research infrastructures, based on a network of “regional partner facilities”, with strong links with world-class universities and centres of excellence. The EC support activities help to promote the development of this fabric of research infrastructures of the highest quality and performance in Europe. Since 2002 ESFRI is also aimed at supporting a coherent approach to policy-making on research infrastructures. The European Roadmap for Research Infrastructures is ESFRI's most significant achievement to date, and KM3Net is one of its identified projects. The current Community support to the Preparatory Phase of this project aims at solving mainly governance, financial, organisational and legal issues. How should KM3Net help contributing to an efficient Research Infrastructure eco-system? This is the question to which the KM3Net stakeholders need to be able to answer very soon!

Assessing the Climate Resilience of Transport Infrastructure Investments in Tanzania

Science.gov (United States)

Hall, J. W.; Pant, R.; Koks, E.; Thacker, S.; Russell, T.

2017-12-01

Whilst there is an urgent need for infrastructure investment in developing countries, there is a risk that poorly planned and built infrastructure will introduce new vulnerabilities. As climate change increases the magnitudes and frequency of natural hazard events, incidence of disruptive infrastructure failures are likely to become more frequent. Therefore, it is important that infrastructure planning and investment is underpinned by climate risk assessment that can inform adaptation planning. Tanzania's rapid economic growth is placing considerable strain on the country's transportation infrastructure (roads, railways, shipping and aviation); especially at the port of Dar es Salaam and its linking transport corridors. A growing number of natural hazard events, in particular flooding, are impacting the reliability of this already over-used network. Here we report on new methodology to analyse vulnerabilities and risks due to failures of key locations in the intermodal transport network of Tanzania, including strategic connectivity to neighboring countries. To perform the national-scale risk analysis we will utilize a system-of-systems methodology. The main components of this general risk assessment, when applied to transportation systems, include: (1) Assembling data on: spatially coherent extreme hazards and intermodal transportation networks; (2) Intersecting hazards with transport network models to initiate failure conditions that trigger failure propagation across interdependent networks; (3) Quantifying failure outcomes in terms of social impacts (customers/passengers disrupted) and/or macroeconomic consequences (across multiple sectors); and (4) Simulating, testing and collecting multiple failure scenarios to perform an exhaustive risk assessment in terms of probabilities and consequences. The methodology is being used to pinpoint vulnerability and reduce climate risks to transport infrastructure investments.

Infrastructure needs for waste management

International Nuclear Information System (INIS)

Takahashi, M.

2001-01-01

National infrastructures are needed to safely and economically manage radioactive wastes. Considerable experience has been accumulated in industrialized countries for predisposal management of radioactive wastes, and legal, regulatory and technical infrastructures are in place. Drawing on this experience, international organizations can assist in transferring this knowledge to developing countries to build their waste management infrastructures. Infrastructure needs for disposal of long lived radioactive waste are more complex, due to the long time scale that must be considered. Challenges and infrastructure needs, particularly for countries developing geologic repositories for disposal of high level wastes, are discussed in this paper. (author)

Defense of Cyber Infrastructures Against Cyber-Physical Attacks Using Game-Theoretic Models.

Science.gov (United States)

Rao, Nageswara S V; Poole, Stephen W; Ma, Chris Y T; He, Fei; Zhuang, Jun; Yau, David K Y

2016-04-01

The operation of cyber infrastructures relies on both cyber and physical components, which are subject to incidental and intentional degradations of different kinds. Within the context of network and computing infrastructures, we study the strategic interactions between an attacker and a defender using game-theoretic models that take into account both cyber and physical components. The attacker and defender optimize their individual utilities, expressed as sums of cost and system terms. First, we consider a Boolean attack-defense model, wherein the cyber and physical subinfrastructures may be attacked and reinforced as individual units. Second, we consider a component attack-defense model wherein their components may be attacked and defended, and the infrastructure requires minimum numbers of both to function. We show that the Nash equilibrium under uniform costs in both cases is computable in polynomial time, and it provides high-level deterministic conditions for the infrastructure survival. When probabilities of successful attack and defense, and of incidental failures, are incorporated into the models, the results favor the attacker but otherwise remain qualitatively similar. This approach has been motivated and validated by our experiences with UltraScience Net infrastructure, which was built to support high-performance network experiments. The analytical results, however, are more general, and we apply them to simplified models of cloud and high-performance computing infrastructures. © 2015 Society for Risk Analysis.

Software and hardware infrastructure for research in electrophysiology.

Science.gov (United States)

Mouček, Roman; Ježek, Petr; Vařeka, Lukáš; Rondík, Tomáš; Brůha, Petr; Papež, Václav; Mautner, Pavel; Novotný, Jiří; Prokop, Tomáš; Stěbeták, Jan

2014-01-01

As in other areas of experimental science, operation of electrophysiological laboratory, design and performance of electrophysiological experiments, collection, storage and sharing of experimental data and metadata, analysis and interpretation of these data, and publication of results are time consuming activities. If these activities are well organized and supported by a suitable infrastructure, work efficiency of researchers increases significantly. This article deals with the main concepts, design, and development of software and hardware infrastructure for research in electrophysiology. The described infrastructure has been primarily developed for the needs of neuroinformatics laboratory at the University of West Bohemia, the Czech Republic. However, from the beginning it has been also designed and developed to be open and applicable in laboratories that do similar research. After introducing the laboratory and the whole architectural concept the individual parts of the infrastructure are described. The central element of the software infrastructure is a web-based portal that enables community researchers to store, share, download and search data and metadata from electrophysiological experiments. The data model, domain ontology and usage of semantic web languages and technologies are described. Current data publication policy used in the portal is briefly introduced. The registration of the portal within Neuroscience Information Framework is described. Then the methods used for processing of electrophysiological signals are presented. The specific modifications of these methods introduced by laboratory researches are summarized; the methods are organized into a laboratory workflow. Other parts of the software infrastructure include mobile and offline solutions for data/metadata storing and a hardware stimulator communicating with an EEG amplifier and recording software.

Formation of Innovative Infrastructure of the Industrial Sphere

Directory of Open Access Journals (Sweden)

M. Ya. Veselovsky

2017-01-01

current state of innovative infrastructure of the industrial sphere in Russia is realized, its advantages and shortcomings of comparison to foreign practice are revealed. The low performance of functioning of innovative infrastructure in general is shown. Line items of the Russian Federation in the Global innovative index are analyzed, the measures and mechanisms directed to the substantial increase of efficiency of functioning of innovative infrastructure of the industrial sphere to the Russian Federation, providing activation of the market of researches, their orientation to needs of the region and the Russian economy in general and also creation of effective communications between all participants of innovative process are proposed. Conclusions and Relevance: considering that efficiency of innovative processes depends not only on activities of their participants, but also on how these participants interact with each other, implementation of the offered sentences allows to create well controlled and effectively operating innovative infrastructure of the industrial sphere providing a producing and support of competitive innovations.Keywords:

MARKETING AND LOGISTICS INFRASTRUCTURE DEVELOPMENT OF THE TRANSPORT SERVICES MARKET

OpenAIRE

Kopytko, V. I.

2009-01-01

Taking into account the modern trends of world economy development, the opportunities of increasing the competitiveness of the Ukrainian transport system on the base of marketing-logistical providing the development of infrastructure of transport services market are presented. The analysis of marketing-logistical approaches of estimation of the efficiency of operation of transport infrastructure objects is performed. The condition of theoretical and practical aspects of the transport services...

6. The Global Infrastructure Development Sector

OpenAIRE

2017-01-01

Studies of global infrastructure development often omit a perspective on the infrastructure development industry itself. Infrastructure development is the industry that turns infrastructure ideas into physical reality — contractors, engineering firms, hardware suppliers, and so on. Consequently, market penetration, cost functions, scale and scope economies, and other competitive variables that characterize infrastructure development have a direct effect on its economics. Vibrant competition a...

Cyber and physical infrastructure interdependencies.

Energy Technology Data Exchange (ETDEWEB)

Phillips, Laurence R.; Kelic, Andjelka; Warren, Drake E.

2008-09-01

The goal of the work discussed in this document is to understand the risk to the nation of cyber attacks on critical infrastructures. The large body of research results on cyber attacks against physical infrastructure vulnerabilities has not resulted in clear understanding of the cascading effects a cyber-caused disruption can have on critical national infrastructures and the ability of these affected infrastructures to deliver services. This document discusses current research and methodologies aimed at assessing the translation of a cyber-based effect into a physical disruption of infrastructure and thence into quantification of the economic consequences of the resultant disruption and damage. The document discusses the deficiencies of the existing methods in correlating cyber attacks with physical consequences. The document then outlines a research plan to correct those deficiencies. When completed, the research plan will result in a fully supported methodology to quantify the economic consequences of events that begin with cyber effects, cascade into other physical infrastructure impacts, and result in degradation of the critical infrastructure's ability to deliver services and products. This methodology enables quantification of the risks to national critical infrastructure of cyber threats. The work addresses the electric power sector as an example of how the methodology can be applied.

E-Infrastructure Concertation Meeting

CERN Multimedia

Katarina Anthony

2010-01-01

The 8th e-Infrastructure Concertation Meeting was held in the Globe from 4 to 5 November to discuss the development of Europe’s distributed computing and storage resources.   Project leaders attend the E-Concertation Meeting at the Globe on 5 November 2010. © Corentin Chevalier E-Infrastructures have become an indispensable tool for scientific research, linking researchers to virtually unlimited e-resources like the grid. The recent e-Infrastructure Concertation Meeting brought together e-Science project leaders to discuss the development of this tool in the European context. The meeting was part of an ongoing initiative to develop a world-class e-infrastructure resource that would establish European leadership in e-Science. The e-Infrastructure Concertation Meeting was organised by the Commission Services (EC) with the support of e-ScienceTalk. “The Concertation meeting at CERN has been a great opportunity for e-ScienceTalk to meet many of the 38 new proje...

The future of infrastructure security :

Energy Technology Data Exchange (ETDEWEB)

Garcia, Pablo; Turnley, Jessica Glicken; Parrott, Lori K.

2013-05-01

Sandia National Laboratories hosted a workshop on the future of infrastructure security on February 27-28, 2013, in Albuquerque, NM. The 17 participants came from backgrounds as diverse as federal policy, the insurance industry, infrastructure management, and technology development. The purpose of the workshop was to surface key issues, identify directions forward, and lay groundwork for cross-sectoral and cross-disciplinary collaborations. The workshop addressed issues such as the problem space (what is included in infrastructure problems?), the general types of threats to infrastructure (such as acute or chronic, system-inherent or exogenously imposed) and definitions of secure and resilient infrastructures. The workshop concluded with a consideration of stakeholders and players in the infrastructure world, and identification of specific activities that could be undertaken by the Department of Homeland Security (DHS) and other players.

Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project

Energy Technology Data Exchange (ETDEWEB)

Stottler, Gary

2012-02-08

General Motors, LLC and energy partner Shell Hydrogen, LLC, deployed a system of hydrogen fuel cell electric vehicles integrated with a hydrogen fueling station infrastructure to operate under real world conditions as part of the U.S. Department of Energy's Controlled Hydrogen Fleet and Infrastructure Validation and Demonstration Project. This technical report documents the performance and describes the learnings from progressive generations of vehicle fuel cell system technology and multiple approaches to hydrogen generation and delivery for vehicle fueling.

A systems framework for national assessment of climate risks to infrastructure

Science.gov (United States)

Dawson, Richard J.; Thompson, David; Johns, Daniel; Wood, Ruth; Darch, Geoff; Chapman, Lee; Hughes, Paul N.; Watson, Geoff V. R.; Paulson, Kevin; Bell, Sarah; Gosling, Simon N.; Powrie, William; Hall, Jim W.

2018-06-01

Extreme weather causes substantial adverse socio-economic impacts by damaging and disrupting the infrastructure services that underpin modern society. Globally, $2.5tn a year is spent on infrastructure which is typically designed to last decades, over which period projected changes in the climate will modify infrastructure performance. A systems approach has been developed to assess risks across all infrastructure sectors to guide national policy making and adaptation investment. The method analyses diverse evidence of climate risks and adaptation actions, to assess the urgency and extent of adaptation required. Application to the UK shows that despite recent adaptation efforts, risks to infrastructure outweigh opportunities. Flooding is the greatest risk to all infrastructure sectors: even if the Paris Agreement to limit global warming to 2°C is achieved, the number of users reliant on electricity infrastructure at risk of flooding would double, while a 4°C rise could triple UK flood damage. Other risks are significant, for example 5% and 20% of river catchments would be unable to meet water demand with 2°C and 4°C global warming respectively. Increased interdependence between infrastructure systems, especially from energy and information and communication technology (ICT), are amplifying risks, but adaptation action is limited by lack of clear responsibilities. A programme to build national capability is urgently required to improve infrastructure risk assessment. This article is part of the theme issue `Advances in risk assessment for climate change adaptation policy'.

A systems framework for national assessment of climate risks to infrastructure

Science.gov (United States)

Thompson, David; Johns, Daniel; Darch, Geoff; Paulson, Kevin

2018-01-01

Extreme weather causes substantial adverse socio-economic impacts by damaging and disrupting the infrastructure services that underpin modern society. Globally, $2.5tn a year is spent on infrastructure which is typically designed to last decades, over which period projected changes in the climate will modify infrastructure performance. A systems approach has been developed to assess risks across all infrastructure sectors to guide national policy making and adaptation investment. The method analyses diverse evidence of climate risks and adaptation actions, to assess the urgency and extent of adaptation required. Application to the UK shows that despite recent adaptation efforts, risks to infrastructure outweigh opportunities. Flooding is the greatest risk to all infrastructure sectors: even if the Paris Agreement to limit global warming to 2°C is achieved, the number of users reliant on electricity infrastructure at risk of flooding would double, while a 4°C rise could triple UK flood damage. Other risks are significant, for example 5% and 20% of river catchments would be unable to meet water demand with 2°C and 4°C global warming respectively. Increased interdependence between infrastructure systems, especially from energy and information and communication technology (ICT), are amplifying risks, but adaptation action is limited by lack of clear responsibilities. A programme to build national capability is urgently required to improve infrastructure risk assessment. This article is part of the theme issue ‘Advances in risk assessment for climate change adaptation policy’. PMID:29712793

Central Region Green Infrastructure

Data.gov (United States)

Minnesota Department of Natural Resources — This Green Infrastructure data is comprised of 3 similar ecological corridor data layers ? Metro Conservation Corridors, green infrastructure analysis in counties...

A threat analysis framework as applied to critical infrastructures in the Energy Sector.

Energy Technology Data Exchange (ETDEWEB)

Michalski, John T.; Duggan, David Patrick

2007-09-01

The need to protect national critical infrastructure has led to the development of a threat analysis framework. The threat analysis framework can be used to identify the elements required to quantify threats against critical infrastructure assets and provide a means of distributing actionable threat information to critical infrastructure entities for the protection of infrastructure assets. This document identifies and describes five key elements needed to perform a comprehensive analysis of threat: the identification of an adversary, the development of generic threat profiles, the identification of generic attack paths, the discovery of adversary intent, and the identification of mitigation strategies.

75 FR 67989 - Agency Information Collection Activities: Office of Infrastructure Protection; Infrastructure...

Science.gov (United States)

2010-11-04

... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2010-0084] Agency Information Collection Activities: Office of Infrastructure Protection; Infrastructure Protection Stakeholder Input Project--Generic... comments; New Information Collection Request: 1670-NEW. SUMMARY: The Department of Homeland Security...

EIA application in China's expressway infrastructure: clarifying the decision-making hierarchy.

Science.gov (United States)

Zhou, Kai-Yi; Sheate, William R

2011-06-01

China's EIA Law came into effect in 2003 and formally requires road transport infrastructure development actions to be subject to Environmental Impact Assessment (EIA). EIAs (including project EIA and plan EIA, or strategic environmental impact assessment, SEA) have been being widely applied in the expressway infrastructure planning field. Among those applications, SEA is applied to provincial level expressway network (PLEI) plans, and project EIA is applied to expressway infrastructure development 'projects' under PLEI plans. Three case studies (one expressway project EIA and two PLEI plan SEAs) were examined to understand currently how EIAs are applied to expressway infrastructure development planning. Through the studies, a number of problems that significantly influence the quality of EIA application in the field were identified. The reasons causing those problems are analyzed and possible solutions are suggested aimed at enhancing EIA practice, helping deliver better decision-making and ultimately improving the environmental performance of expressway infrastructure. Copyright © 2010 Elsevier Ltd. All rights reserved.

Using a CRIS for e-Infrastructure: e-Infrastructure for Scholarly Publications

Directory of Open Access Journals (Sweden)

E Dijk

2010-05-01

Full Text Available Scholarly publications are a major part of the research infrastructure. One way to make output available is to store the publications in Open Access Repositories (OAR. A Current Research Information System (CRIS that conforms to the standard CERIF (Common European Research Information Format could be a key component in the e-infrastructure. A CRIS provides the structure and makes it possible to interoperate the CRIS metadata at every stage of the research cycle. The international DRIVER projects are creating a European repository infrastructure. Knowledge Exchange has launched a project to develop a metadata exchange format for publications between CRIS and OAR systems.

Making green infrastructure healthier infrastructure.

Science.gov (United States)

Lõhmus, Mare; Balbus, John

2015-01-01

Increasing urban green and blue structure is often pointed out to be critical for sustainable development and climate change adaptation, which has led to the rapid expansion of greening activities in cities throughout the world. This process is likely to have a direct impact on the citizens' quality of life and public health. However, alongside numerous benefits, green and blue infrastructure also has the potential to create unexpected, undesirable, side-effects for health. This paper considers several potential harmful public health effects that might result from increased urban biodiversity, urban bodies of water, and urban tree cover projects. It does so with the intent of improving awareness and motivating preventive measures when designing and initiating such projects. Although biodiversity has been found to be associated with physiological benefits for humans in several studies, efforts to increase the biodiversity of urban environments may also promote the introduction and survival of vector or host organisms for infectious pathogens with resulting spread of a variety of diseases. In addition, more green connectivity in urban areas may potentiate the role of rats and ticks in the spread of infectious diseases. Bodies of water and wetlands play a crucial role in the urban climate adaptation and mitigation process. However, they also provide habitats for mosquitoes and toxic algal blooms. Finally, increasing urban green space may also adversely affect citizens allergic to pollen. Increased awareness of the potential hazards of urban green and blue infrastructure should not be a reason to stop or scale back projects. Instead, incorporating public health awareness and interventions into urban planning at the earliest stages can help insure that green and blue infrastructure achieves full potential for health promotion.

Trajectory optimization for lunar rover performing vertical takeoff vertical landing maneuvers in the presence of terrain

Science.gov (United States)

Ma, Lin; Wang, Kexin; Xu, Zuhua; Shao, Zhijiang; Song, Zhengyu; Biegler, Lorenz T.

2018-05-01

This study presents a trajectory optimization framework for lunar rover performing vertical takeoff vertical landing (VTVL) maneuvers in the presence of terrain using variable-thrust propulsion. First, a VTVL trajectory optimization problem with three-dimensional kinematics and dynamics model, boundary conditions, and path constraints is formulated. Then, a finite-element approach transcribes the formulated trajectory optimization problem into a nonlinear programming (NLP) problem solved by a highly efficient NLP solver. A homotopy-based backtracking strategy is applied to enhance the convergence in solving the formulated VTVL trajectory optimization problem. The optimal thrust solution typically has a "bang-bang" profile considering that bounds are imposed on the magnitude of engine thrust. An adaptive mesh refinement strategy based on a constant Hamiltonian profile is designed to address the difficulty in locating the breakpoints in the thrust profile. Four scenarios are simulated. Simulation results indicate that the proposed trajectory optimization framework has sufficient adaptability to handle VTVL missions efficiently.

Telecom infrastructure leasing

International Nuclear Information System (INIS)

Henley, R.

1995-01-01

Slides to accompany a discussion about leasing telecommunications infrastructure, including radio/microwave tower space, radio control buildings, paging systems and communications circuits, were presented. The structure of Alberta Power Limited was described within the ATCO group of companies. Corporate goals and management practices and priorities were summarized. Lessons and experiences in the infrastructure leasing business were reviewed

Software and Hardware Infrastructure for Research in Electrophysiology

Directory of Open Access Journals (Sweden)

Roman eMouček

2014-03-01

Full Text Available As in other areas of experimental science, operation of electrophysiological laboratory, design and performance of electrophysiological experiments, collection, storage and sharing of experimental data and metadata, analysis and interpretation of these data, and publication of results are time consuming activities. If these activities are well organized and supported by a suitable infrastructure, work efficiency of researchers increases significantly.This article deals with the main concepts, design, and development of software and hardware infrastructure for research in electrophysiology. The described infrastructure has been primarily developed for the needs of neuroinformatics laboratory at the University of West Bohemia, the Czech Republic. However, from the beginning it has been also designed and developed to be open and applicable in laboratories that do similar research.After introducing the laboratory and the whole architectural concept the individual parts of the infrastructure are described. The central element of the software infrastructure is a web-based portal that enables community researchers to store, share, download and search data and metadata from electrophysiological experiments. The data model, domain ontology and usage of semantic web languages and technologies are described. Current data publication policy used in the portal is briefly introduced. The registration of the portal within Neuroscience Information Framework is described. Then the methods used for processing of electrophysiological signals are presented. The specific modifications of these methods introduced by laboratory researches are summarized; the methods are organized into a laboratory workflow. Other parts of the software infrastructure include mobile and offline solutions for data/metadata storing and a hardware stimulator communicating with an EEG amplifier and recording software.

InSAR remote sensing for performance monitoring of transportation infrastructure at the network level.

Science.gov (United States)

2016-01-11

The goal of the project was the implementation of interferometric synthetic aperture radar : (InSAR) monitoring techniques to allow for early detection of geohazard, potentially : affecting the transportation infrastructure, as well as the monitoring...

Infrastructures for healthcare

DEFF Research Database (Denmark)

Langhoff, Tue Odd; Amstrup, Mikkel Hvid; Mørck, Peter

2018-01-01

The Danish General Practitioners Database has over more than a decade developed into a large-scale successful information infrastructure supporting medical research in Denmark. Danish general practitioners produce the data, by coding all patient consultations according to a certain set of classif...... synergy into account, if not to risk breaking down the fragile nature of otherwise successful information infrastructures supporting research on healthcare....

Building safeguards infrastructure

International Nuclear Information System (INIS)

McClelland-Kerr, J.; Stevens, J.

2010-01-01

Much has been written in recent years about the nuclear renaissance - the rebirth of nuclear power as a clean and safe source of electricity around the world. Those who question the nuclear renaissance often cite the risk of proliferation, accidents or an attack on a facility as concerns, all of which merit serious consideration. The integration of three areas - sometimes referred to as 3S, for safety, security and safeguards - is essential to supporting the clean and safe growth of nuclear power, and the infrastructure that supports these three areas should be robust. The focus of this paper will be on the development of the infrastructure necessary to support safeguards, and the integration of safeguards infrastructure with other elements critical to ensuring nuclear energy security

Site development and demands on infrastructure

International Nuclear Information System (INIS)

Nieke, K.F.

1976-01-01

All sub-fields are examined which form the infrastructure, the infrastructure being indispensable for the site development of a nuclear power plant. The main emphasis is put on the technical infrastructure, but the social infrastructure is dealt with, too. The most important sub-fields are: traffic connections, energy supply, external communications, foundation, building mearures. (UA) [de

Decision analysis and risk models for land development affecting infrastructure systems.

Science.gov (United States)

Thekdi, Shital A; Lambert, James H

2012-07-01

Coordination and layering of models to identify risks in complex systems such as large-scale infrastructure of energy, water, and transportation is of current interest across application domains. Such infrastructures are increasingly vulnerable to adjacent commercial and residential land development. Land development can compromise the performance of essential infrastructure systems and increase the costs of maintaining or increasing performance. A risk-informed approach to this topic would be useful to avoid surprise, regret, and the need for costly remedies. This article develops a layering and coordination of models for risk management of land development affecting infrastructure systems. The layers are: system identification, expert elicitation, predictive modeling, comparison of investment alternatives, and implications of current decisions for future options. The modeling layers share a focus on observable factors that most contribute to volatility of land development and land use. The relevant data and expert evidence include current and forecasted growth in population and employment, conservation and preservation rules, land topography and geometries, real estate assessments, market and economic conditions, and other factors. The approach integrates to a decision framework of strategic considerations based on assessing risk, cost, and opportunity in order to prioritize needs and potential remedies that mitigate impacts of land development to the infrastructure systems. The approach is demonstrated for a 5,700-mile multimodal transportation system adjacent to 60,000 tracts of potential land development. © 2011 Society for Risk Analysis.

Making green infrastructure healthier infrastructure

Directory of Open Access Journals (Sweden)

Mare Lõhmus

2015-11-01

Full Text Available Increasing urban green and blue structure is often pointed out to be critical for sustainable development and climate change adaptation, which has led to the rapid expansion of greening activities in cities throughout the world. This process is likely to have a direct impact on the citizens’ quality of life and public health. However, alongside numerous benefits, green and blue infrastructure also has the potential to create unexpected, undesirable, side-effects for health. This paper considers several potential harmful public health effects that might result from increased urban biodiversity, urban bodies of water, and urban tree cover projects. It does so with the intent of improving awareness and motivating preventive measures when designing and initiating such projects. Although biodiversity has been found to be associated with physiological benefits for humans in several studies, efforts to increase the biodiversity of urban environments may also promote the introduction and survival of vector or host organisms for infectious pathogens with resulting spread of a variety of diseases. In addition, more green connectivity in urban areas may potentiate the role of rats and ticks in the spread of infectious diseases. Bodies of water and wetlands play a crucial role in the urban climate adaptation and mitigation process. However, they also provide habitats for mosquitoes and toxic algal blooms. Finally, increasing urban green space may also adversely affect citizens allergic to pollen. Increased awareness of the potential hazards of urban green and blue infrastructure should not be a reason to stop or scale back projects. Instead, incorporating public health awareness and interventions into urban planning at the earliest stages can help insure that green and blue infrastructure achieves full potential for health promotion.

Sustainable infrastructure system modeling under uncertainties and dynamics

Science.gov (United States)

Huang, Yongxi

Infrastructure systems support human activities in transportation, communication, water use, and energy supply. The dissertation research focuses on critical transportation infrastructure and renewable energy infrastructure systems. The goal of the research efforts is to improve the sustainability of the infrastructure systems, with an emphasis on economic viability, system reliability and robustness, and environmental impacts. The research efforts in critical transportation infrastructure concern the development of strategic robust resource allocation strategies in an uncertain decision-making environment, considering both uncertain service availability and accessibility. The study explores the performances of different modeling approaches (i.e., deterministic, stochastic programming, and robust optimization) to reflect various risk preferences. The models are evaluated in a case study of Singapore and results demonstrate that stochastic modeling methods in general offers more robust allocation strategies compared to deterministic approaches in achieving high coverage to critical infrastructures under risks. This general modeling framework can be applied to other emergency service applications, such as, locating medical emergency services. The development of renewable energy infrastructure system development aims to answer the following key research questions: (1) is the renewable energy an economically viable solution? (2) what are the energy distribution and infrastructure system requirements to support such energy supply systems in hedging against potential risks? (3) how does the energy system adapt the dynamics from evolving technology and societal needs in the transition into a renewable energy based society? The study of Renewable Energy System Planning with Risk Management incorporates risk management into its strategic planning of the supply chains. The physical design and operational management are integrated as a whole in seeking mitigations against the

New infrastructures, new landscapes

Directory of Open Access Journals (Sweden)

Chiara Nifosì

2014-06-01

Full Text Available New infrastructures, new landscapes AbstractThe paper will discuss one recent Italian project that share a common background: the relevance of the existing maritime landscape as a non negotiable value. The studies will be discussed in details a feasibility study for the new port in Monfalcone. National infrastructural policies emphasize competitiveness and connection as a central issue incultural, economic and political development of communities . Based on networks and system development along passageways that make up the European infrastructural armor; the two are considered at the meantime as cause and effect of "territorialisation”. These two views are obviously mutually dependent. It's hard to think about a strong attractiveness out of the network, and to be part of the latter encourages competitiveness. Nonetheless this has proved to be conflictual when landscape values and the related attractiveness are considered.The presented case study project, is pursuing the ambition to promote a new approach in realizing large infrastructures; its double role is to improve connectivity and to generate lasting and positive impact on the local regions. It deal with issues of inter-modality and the construction of nodes and lines which connects Europe, and its markets.Reverting the usual approach which consider landscape project as as a way to mitigate or to compensate for the infrastructure, the goal is to succeed in realizing large infrastructural works by conceiving them as an occasion to reinterpret a region or, as extraordinary opportunities, to build new landscapes.The strategy proposed consists in achieving structural images based on the reinforcement of the environmental and historical-landscape systems. Starting from the reinterpretation of local maritime context and resources it is possible not just to preserve the attractiveness of a specific landscape but also to conceive infrastructure in a more efficient way. 

CERN printing infrastructure

International Nuclear Information System (INIS)

Otto, R; Sucik, J

2008-01-01

For many years CERN had a very sophisticated print server infrastructure [13] which supported several different protocols (AppleTalk, IPX and TCP/IP) and many different printing standards. Today's situation differs a lot: we have a much more homogenous network infrastructure, where TCP/IP is used everywhere and we have less printer models, which almost all work using current standards (i.e. they all provide PostScript drivers). This change gave us the possibility to review the printing architecture aiming at simplifying the infrastructure in order to achieve full automation of the service. The new infrastructure offers both: LPD service exposing print queues to Linux and Mac OS X computers and native printing for Windows based clients. The printer driver distribution is automatic and native on Windows and automated by custom mechanisms on Linux, where the appropriate Foomatic drivers are configured. Also the process of printer registration and queue creation is completely automated following the printer registration in the network database. At the end of 2006 we have moved all (∼1200) CERN printers and all users' connections at CERN to the new service. This paper will describe the new architecture and summarize the process of migration

NGNP Infrastructure Readiness Assessment: Consolidation Report

International Nuclear Information System (INIS)

Castle, Brian K.

2011-01-01

The Next Generation Nuclear Plant (NGNP) project supports the development, demonstration, and deployment of high temperature gas-cooled reactors (HTGRs). The NGNP project is being reviewed by the Nuclear Energy Advisory Council (NEAC) to provide input to the DOE, who will make a recommendation to the Secretary of Energy, whether or not to continue with Phase 2 of the NGNP project. The NEAC review will be based on, in part, the infrastructure readiness assessment, which is an assessment of industry's current ability to provide specified components for the FOAK NGNP, meet quality assurance requirements, transport components, have the necessary workforce in place, and have the necessary construction capabilities. AREVA and Westinghouse were contracted to perform independent assessments of industry's capabilities because of their experience with nuclear supply chains, which is a result of their experiences with the EPR and AP-1000 reactors. Both vendors produced infrastructure readiness assessment reports that identified key components and categorized these components into three groups based on their ability to be deployed in the FOAK plant. The NGNP project has several programs that are developing key components and capabilities. For these components, the NGNP project have provided input to properly assess the infrastructure readiness for these components.

NGNP Infrastructure Readiness Assessment: Consolidation Report

Energy Technology Data Exchange (ETDEWEB)

Brian K Castle

2011-02-01

The Next Generation Nuclear Plant (NGNP) project supports the development, demonstration, and deployment of high temperature gas-cooled reactors (HTGRs). The NGNP project is being reviewed by the Nuclear Energy Advisory Council (NEAC) to provide input to the DOE, who will make a recommendation to the Secretary of Energy, whether or not to continue with Phase 2 of the NGNP project. The NEAC review will be based on, in part, the infrastructure readiness assessment, which is an assessment of industry's current ability to provide specified components for the FOAK NGNP, meet quality assurance requirements, transport components, have the necessary workforce in place, and have the necessary construction capabilities. AREVA and Westinghouse were contracted to perform independent assessments of industry's capabilities because of their experience with nuclear supply chains, which is a result of their experiences with the EPR and AP-1000 reactors. Both vendors produced infrastructure readiness assessment reports that identified key components and categorized these components into three groups based on their ability to be deployed in the FOAK plant. The NGNP project has several programs that are developing key components and capabilities. For these components, the NGNP project have provided input to properly assess the infrastructure readiness for these components.

Infrastructure Gap in South Asia: Inequality of Access to Infrastructure Services

OpenAIRE

Biller, Dan; Andrés, Luis; Herrera Dappe, Matías

2014-01-01

The South Asia region is home to the largest pool of individuals living under the poverty line, coupled with a fast-growing population. The importance of access to basic infrastructure services on welfare and the quality of life is clear. Yet the South Asia region's rates of access to infrastructure (sanitation, electricity, telecom, and transport) are closer to those of Sub-Saharan Africa...

Transport Infrastructure Slot Allocation

NARCIS (Netherlands)

Koolstra, K.

2005-01-01

In this thesis, transport infrastructure slot allocation has been studied, focusing on selection slot allocation, i.e. on longer-term slot allocation decisions determining the traffic patterns served by infrastructure bottlenecks, rather than timetable-related slot allocation problems. The

Physical resources and infrastructure

NARCIS (Netherlands)

Foeken, D.W.J.; Hoorweg, J.; Foeken, D.W.J.; Obudho, R.A.

2000-01-01

This chapter describes the main physical characteristics as well as the main physical and social infrastructure features of Kenya's coastal region. Physical resources include relief, soils, rainfall, agro-ecological zones and natural resources. Aspects of the physical infrastructure discussed are

Utilizing an integrated infrastructure for outcomes research: a systematic review.

Science.gov (United States)

Dixon, Brian E; Whipple, Elizabeth C; Lajiness, John M; Murray, Michael D

2016-03-01

To explore the ability of an integrated health information infrastructure to support outcomes research. A systematic review of articles published from 1983 to 2012 by Regenstrief Institute investigators using data from an integrated electronic health record infrastructure involving multiple provider organisations was performed. Articles were independently assessed and classified by study design, disease and other metadata including bibliometrics. A total of 190 articles were identified. Diseases included cognitive, (16) cardiovascular, (16) infectious, (15) chronic illness (14) and cancer (12). Publications grew steadily (26 in the first decade vs. 100 in the last) as did the number of investigators (from 15 in 1983 to 62 in 2012). The proportion of articles involving non-Regenstrief authors also expanded from 54% in the first decade to 72% in the last decade. During this period, the infrastructure grew from a single health system into a health information exchange network covering more than 6 million patients. Analysis of journal and article metrics reveals high impact for clinical trials and comparative effectiveness research studies that utilised data available in the integrated infrastructure. Integrated information infrastructures support growth in high quality observational studies and diverse collaboration consistent with the goals for the learning health system. More recent publications demonstrate growing external collaborations facilitated by greater access to the infrastructure and improved opportunities to study broader disease and health outcomes. Integrated information infrastructures can stimulate learning from electronic data captured during routine clinical care but require time and collaboration to reach full potential. © 2015 Health Libraries Group.

Carbon emissions of infrastructure development.

Science.gov (United States)

Müller, Daniel B; Liu, Gang; Løvik, Amund N; Modaresi, Roja; Pauliuk, Stefan; Steinhoff, Franciska S; Brattebø, Helge

2013-10-15

Identifying strategies for reconciling human development and climate change mitigation requires an adequate understanding of how infrastructures contribute to well-being and greenhouse gas emissions. While direct emissions from infrastructure use are well-known, information about indirect emissions from their construction is highly fragmented. Here, we estimated the carbon footprint of the existing global infrastructure stock in 2008, assuming current technologies, to be 122 (-20/+15) Gt CO2. The average per-capita carbon footprint of infrastructures in industrialized countries (53 (± 6) t CO2) was approximately 5 times larger that that of developing countries (10 (± 1) t CO2). A globalization of Western infrastructure stocks using current technologies would cause approximately 350 Gt CO2 from materials production, which corresponds to about 35-60% of the remaining carbon budget available until 2050 if the average temperature increase is to be limited to 2 °C, and could thus compromise the 2 °C target. A promising but poorly explored mitigation option is to build new settlements using less emissions-intensive materials, for example by urban design; however, this strategy is constrained by a lack of bottom-up data on material stocks in infrastructures. Infrastructure development must be considered in post-Kyoto climate change agreements if developing countries are to participate on a fair basis.

Structure-guided functional characterization of DUF1460 reveals a highly specific NlpC/P60 amidase family.

Science.gov (United States)

Xu, Qingping; Mengin-Lecreulx, Dominique; Patin, Delphine; Grant, Joanna C; Chiu, Hsiu-Ju; Jaroszewski, Lukasz; Knuth, Mark W; Godzik, Adam; Lesley, Scott A; Elsliger, Marc-André; Deacon, Ashley M; Wilson, Ian A

2014-12-02

GlcNAc-1,6-anhydro-MurNAc-tetrapeptide is a major peptidoglycan degradation intermediate and a cytotoxin. It is generated by lytic transglycosylases and further degraded and recycled by various enzymes. We have identified and characterized a highly specific N-acetylmuramoyl-L-alanine amidase (AmiA) from Bacteroides uniformis, a member of the DUF1460 protein family, that hydrolyzes GlcNAc-1,6-anhydro-MurNAc-peptide into disaccharide and stem peptide. The high-resolution apo structure at 1.15 Å resolution shows that AmiA is related to NlpC/P60 γ-D-Glu-meso-diaminopimelic acid amidases and shares a common catalytic core and cysteine peptidase-like active site. AmiA has evolved structural adaptations that reconfigure the substrate recognition site. The preferred substrates for AmiA were predicted in silico based on structural and bioinformatics data, and subsequently were characterized experimentally. Further crystal structures of AmiA in complexes with GlcNAc-1,6-anhydro-MurNAc and GlcNAc have enabled us to elucidate substrate recognition and specificity. DUF1460 is highly conserved in structure and defines another amidase family. Copyright © 2014 Elsevier Ltd. All rights reserved.

Developing an infrastructure index : phase I.

Science.gov (United States)

2010-04-01

Over the past decade the American Society of Civil Engineers has used the Infrastructure Report : Card to raise awareness of infrastructure issues. Aging and deteriorating infrastructure has : recently been highlighted in the popular media. However, ...

Natural Language Processing (NLP), Machine Learning (ML), and Semantics in Polar Science

Science.gov (United States)

Duerr, R.; Ramdeen, S.

2017-12-01

One of the interesting features of Polar Science is that it historically has been extremely interdisciplinary, encompassing all of the physical and social sciences. Given the ubiquity of specialized terminology in each field, enabling researchers to find, understand, and use all of the heterogeneous data needed for polar research continues to be a bottleneck. Within the informatics community, semantics has broadly accepted as a solution to these problems, yet progress in developing reusable semantic resources has been slow. The NSF-funded ClearEarth project has been adapting the methods and tools from other communities such as Biomedicine to the Earth sciences with the goal of enhancing progress and the rate at which the needed semantic resources can be created. One of the outcomes of the project has been a better understanding of the differences in the way linguists and physical scientists understand disciplinary text. One example of these differences is the tendency for each discipline and often disciplinary subfields to expend effort in creating discipline specific glossaries where individual terms often are comprised of more than one word (e.g., first-year sea ice). Often each term in a glossary is imbued with substantial contextual or physical meaning - meanings which are rarely explicitly called out within disciplinary texts; meaning which are therefore not immediately accessible to those outside that discipline or subfield; meanings which can often be represented semantically. Here we show how recognition of these difference and the use of glossaries can be used to speed up the annotation processes endemic to NLP, enable inter-community recognition and possible reconciliation of terminology differences. A number of processes and tools will be described, as will progress towards semi-automated generation of ontology structures.

Infrastructure Engineering and Deployment Division

Data.gov (United States)

Federal Laboratory Consortium — Volpe's Infrastructure Engineering and Deployment Division advances transportation innovation by being leaders in infrastructure technology, including vehicles and...

Cloud Infrastructure & Applications - CloudIA

Science.gov (United States)

Sulistio, Anthony; Reich, Christoph; Doelitzscher, Frank

The idea behind Cloud Computing is to deliver Infrastructure-as-a-Services and Software-as-a-Service over the Internet on an easy pay-per-use business model. To harness the potentials of Cloud Computing for e-Learning and research purposes, and to small- and medium-sized enterprises, the Hochschule Furtwangen University establishes a new project, called Cloud Infrastructure & Applications (CloudIA). The CloudIA project is a market-oriented cloud infrastructure that leverages different virtualization technologies, by supporting Service-Level Agreements for various service offerings. This paper describes the CloudIA project in details and mentions our early experiences in building a private cloud using an existing infrastructure.

Contextual-Analysis for Infrastructure Awareness Systems

DEFF Research Database (Denmark)

Ramos, Juan David Hincapie; Tabard, Aurelien; Alt, Florian

Infrastructures are persistent socio-technical systems used to deliver different kinds of services. Researchers have looked into how awareness of infrastructures in the areas of sustainability [6, 10] and software appropriation [11] can be provided. However, designing infrastructure-aware systems...... has specific requirements, which are often ignored. In this paper we explore the challenges when developing infrastructure awareness systems based on contextual analysis, and propose guidelines for enhancing the design process....

Information infrastructure development in NRU «MPEI»

Directory of Open Access Journals (Sweden)

E. G. Gridina

2016-01-01

Full Text Available The article describes the work on support and development of information infrastructure NRU «MPEI». Information infrastructure have different approaches to the defi nition. The authors defi ne the information infrastructure as a set of basic information services, computing, storage and data transmission systems that provide user access to information resources. New conditions dictate new approaches to building the education system in general and the educational process in each educational institution. NRU «MPEI» working to create a modern information infrastructure, including automated control systems, information resources and services, modular systems disciplines. This article describes the requirements for a modern information infrastructure of the NRU «MPEI», that provides students and teachers with the necessary services. Information infrastructure includes a set of software and hardware to ensure interaction between the participants of the educational process. All services and NRU «MPEI» system included in the unifi ed information educational environment (UIEE. Architecture UIEE NRU «MPEI» is displayed in the article. UIEE NRU «MPEI» is deployed on the basis of information network NRU «MPEI» and enables a comprehensive optimization of university management in various areas. Information and Computing Center supporting information and computer network NRU «MPEI», bought more than 4800 licenses in 43 different license versions of the software manufacturers. The server segment information network NRU «MPEI» contains a complex infrastructure and application servers for processing and storing information.The segment there are 20 high-performance server and storage system capacity of over 30 TB. In the server segment deployed complex systems to meet the needs in the various fi elds of activity NRU «MPEI», and the educational system to support the economic , scientifi c and human complex. Currently, ICC also pays great

Infrastructure for large-scale quality-improvement projects: early lessons from North Carolina Improving Performance in Practice.

Science.gov (United States)

Newton, Warren P; Lefebvre, Ann; Donahue, Katrina E; Bacon, Thomas; Dobson, Allen

2010-01-01

Little is known regarding how to accomplish large-scale health care improvement. Our goal is to improve the quality of chronic disease care in all primary care practices throughout North Carolina. Methods for improvement include (1) common quality measures and shared data system; (2) rapid cycle improvement principles; (3) quality-improvement consultants (QICs), or practice facilitators; (4) learning networks; and (5) alignment of incentives. We emphasized a community-based strategy and developing a statewide infrastructure. Results are reported from the first 2 years of the North Carolina Improving Performance in Practice (IPIP) project. A coalition was formed to include professional societies, North Carolina AHEC, Community Care of North Carolina, insurers, and other organizations. Wave One started with 18 practices in 2 of 9 regions of the state. Quality-improvement consultants recruited practices. Over 80 percent of practices attended all quarterly regional meetings. In 9 months, almost all diabetes measures improved, and a bundled asthma measure improved from 33 to 58 percent. Overall, the magnitude of improvement was clinically and statistically significant (P = .001). Quality improvements were maintained on review 1 year later. Wave Two has spread to 103 practices in all 9 regions of the state, with 42 additional practices beginning the enrollment process. Large-scale health care quality improvement is feasible, when broadly supported by statewide leadership and community infrastructure. Practice-collected data and lack of a control group are limitations of the study design. Future priorities include maintaining improved sustainability for practices and communities. Our long-term goal is to transform all 2000 primary-care practices in our state.

Data Intensive Scientific Computing on Petabyte Scalable Infrastructure, Phase I

Data.gov (United States)

National Aeronautics and Space Administration — The infrastructure and programming paradigm for petabyte-level data processing performed at companies like Google and Yahoo shed some promising lights on the...

Building an evaluation infrastructure

DEFF Research Database (Denmark)

Brandrup, Morten; Østergaard, Kija Lin

Infrastructuring does not happen by itself; it must be supported. In this paper, we present a feedback mechanism implemented as a smartphone-based application, inspired by the concept of infrastructure probes, which supports the in situ elicitation of feedback. This is incorporated within an eval...

Flowscapes: Designing infrastructure as landscape

OpenAIRE

Nijhuis, S.; Jauslin, D.T.; Van der Hoeven, F.D.

2015-01-01

Social, cultural and technological developments of our society are demanding a fundamental review of the planning and design of its landscapes and infrastructures, in particular in relation to environmental issues and sustainability. Transportation, green and water infrastructures are important agents that facilitate processes that shape the built environment and its contemporary landscapes. With movement and flows at the core, these landscape infrastructures facilitate aesthetic, functional,...

Chef infrastructure automation cookbook

CERN Document Server

Marschall, Matthias

2013-01-01

Chef Infrastructure Automation Cookbook contains practical recipes on everything you will need to automate your infrastructure using Chef. The book is packed with illustrated code examples to automate your server and cloud infrastructure.The book first shows you the simplest way to achieve a certain task. Then it explains every step in detail, so that you can build your knowledge about how things work. Eventually, the book shows you additional things to consider for each approach. That way, you can learn step-by-step and build profound knowledge on how to go about your configuration management

Geographic Hotspots of Critical National Infrastructure.

Science.gov (United States)

Thacker, Scott; Barr, Stuart; Pant, Raghav; Hall, Jim W; Alderson, David

2017-12-01

Failure of critical national infrastructures can result in major disruptions to society and the economy. Understanding the criticality of individual assets and the geographic areas in which they are located is essential for targeting investments to reduce risks and enhance system resilience. Within this study we provide new insights into the criticality of real-life critical infrastructure networks by integrating high-resolution data on infrastructure location, connectivity, interdependence, and usage. We propose a metric of infrastructure criticality in terms of the number of users who may be directly or indirectly disrupted by the failure of physically interdependent infrastructures. Kernel density estimation is used to integrate spatially discrete criticality values associated with individual infrastructure assets, producing a continuous surface from which statistically significant infrastructure criticality hotspots are identified. We develop a comprehensive and unique national-scale demonstration for England and Wales that utilizes previously unavailable data from the energy, transport, water, waste, and digital communications sectors. The testing of 200,000 failure scenarios identifies that hotspots are typically located around the periphery of urban areas where there are large facilities upon which many users depend or where several critical infrastructures are concentrated in one location. © 2017 Society for Risk Analysis.

CERN printing infrastructure

Energy Technology Data Exchange (ETDEWEB)

Otto, R; Sucik, J [CERN, Geneva (Switzerland)], E-mail: Rafal.Otto@cern.ch, E-mail: Juraj.Sucik@cern.ch

2008-07-15

For many years CERN had a very sophisticated print server infrastructure [13] which supported several different protocols (AppleTalk, IPX and TCP/IP) and many different printing standards. Today's situation differs a lot: we have a much more homogenous network infrastructure, where TCP/IP is used everywhere and we have less printer models, which almost all work using current standards (i.e. they all provide PostScript drivers). This change gave us the possibility to review the printing architecture aiming at simplifying the infrastructure in order to achieve full automation of the service. The new infrastructure offers both: LPD service exposing print queues to Linux and Mac OS X computers and native printing for Windows based clients. The printer driver distribution is automatic and native on Windows and automated by custom mechanisms on Linux, where the appropriate Foomatic drivers are configured. Also the process of printer registration and queue creation is completely automated following the printer registration in the network database. At the end of 2006 we have moved all ({approx}1200) CERN printers and all users' connections at CERN to the new service. This paper will describe the new architecture and summarize the process of migration.

Model for Railway Infrastructure Management Organization

Directory of Open Access Journals (Sweden)

Gordan Stojić

2012-03-01

Full Text Available The provision of appropriate quality rail services has an important role in terms of railway infrastructure: quality of infrastructure maintenance, regulation of railway traffic, line capacity, speed, safety, train station organization, the allowable lines load and other infrastructure parameters.The analysis of experiences in transforming the railway systems points to the conclusion that there is no unique solution in terms of choice for institutional rail infrastructure management modes, although more than nineteen years have passed from the beginning of the implementation of the Directive 91/440/EEC. Depending on the approach to the process of restructuring the national railway company, adopted regulations and caution in its implementation, the existence or absence of a clearly defined transport strategy, the willingness to liberalize the transport market, there are several different ways for institutional management of railway infrastructure.A hybrid model for selection of modes of institutional rail infrastructure management was developed based on the theory of artificial intelligence, theory of fuzzy sets and theory of multicriteria optimization.KEY WORDSmanagement, railway infrastructure, organizational structure, hybrid model

Air Pollution Abatement Performances of Green Infrastructure in Different Urban Environments – A Review

Science.gov (United States)

Intensifying the proportion of urban green infrastructure has been considered as one of the remedies for air pollution levels in cities, yet the impact of numerous vegetation types deployed in different built environments has to be fully synthesised and quantified. This review ex...

Data Centre Infrastructure & Data Storage @ Facebook

CERN Multimedia

CERN. Geneva; Garson, Matt; Kauffman, Mike

2018-01-01

Several speakers from the Facebook company will present their take on the infrastructure of their Data Center and Storage facilities, as follows: 10:00 - Facebook Data Center Infrastructure, by Delfina Eberly, Mike Kauffman and Veerendra Mulay Insight into how Facebook thinks about data center design, including electrical and cooling systems, and the technology and tooling used to manage data centers. 11:00 - Storage at Facebook, by Matt Garson An overview of Facebook infrastructure, focusing on different storage systems, in particular photo/video storage and storage for data analytics. About the speakers Mike Kauffman, Director, Data Center Site Engineering Delfina Eberly, Infrastructure, Site Services Matt Garson, Storage at Facebook Veerendra Mulay, Infrastructure

TCIA Secure Cyber Critical Infrastructure Modernization.

Energy Technology Data Exchange (ETDEWEB)

Keliiaa, Curtis M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

2017-02-01

The Sandia National Laboratories (Sandia Labs) tribal cyber infrastructure assurance initiative was developed in response to growing national cybersecurity concerns in the the sixteen Department of Homeland Security (DHS) defined critical infrastructure sectors1. Technical assistance is provided for the secure modernization of critical infrastructure and key resources from a cyber-ecosystem perspective with an emphasis on enhanced security, resilience, and protection. Our purpose is to address national critical infrastructure challenges as a shared responsibility.

relevance of information warfare models to critical infrastructure

African Journals Online (AJOL)

ismith

Critical infrastructure models, strategies and policies should take information ... gain an advantage over a competitor or adversary through the use of one's own .... digital communications system, where the vehicles are analogous to bits or packets, ..... performance degraded, causing an increase in traffic finding a new route.

ATLAS EventIndex General Dataflow and Monitoring Infrastructure

CERN Document Server

Fernandez Casani, Alvaro; The ATLAS collaboration

2016-01-01

The ATLAS EventIndex has been running in production since mid-2015, reliably collecting information worldwide about all produced events and storing them in a central Hadoop infrastructure at CERN. A subset of this information is copied to an Oracle relational database for fast access. The system design and its optimization is serving event picking from requests of a few events up to scales of tens of thousand of events, and in addition, data consistency checks are performed for large production campaigns. Detecting duplicate events with a scope of physics collections has recently arisen as an important use case. This paper describes the general architecture of the project and the data flow and operation issues, which are addressed by recent developments to improve the throughput of the overall system. In this direction, the data collection system is reducing the usage of the messaging infrastructure to overcome the performance shortcomings detected during production peaks; an object storage approach is instea...

Optimally Reorganizing Navy Shore Infrastructure

National Research Council Canada - National Science Library

Kerman, Mitchell

1997-01-01

...), but infrastructure reductions continue to lag force structure reductions. The United States Navy's recent initiatives to reduce its shore infrastructure costs include "regionalization", "outsourcing," and "homebasing...

Energy Theft in the Advanced Metering Infrastructure

Science.gov (United States)

McLaughlin, Stephen; Podkuiko, Dmitry; McDaniel, Patrick

Global energy generation and delivery systems are transitioning to a new computerized "smart grid". One of the principle components of the smart grid is an advanced metering infrastructure (AMI). AMI replaces the analog meters with computerized systems that report usage over digital communication interfaces, e.g., phone lines. However, with this infrastructure comes new risk. In this paper, we consider adversary means of defrauding the electrical grid by manipulating AMI systems. We document the methods adversaries will use to attempt to manipulate energy usage data, and validate the viability of these attacks by performing penetration testing on commodity devices. Through these activities, we demonstrate that not only is theft still possible in AMI systems, but that current AMI devices introduce a myriad of new vectors for achieving it.

Engineering Information Infrastructure for Product Lifecycle Managment

Science.gov (United States)

Kimura, Fumihiko

For proper management of total product life cycle, it is fundamentally important to systematize design and engineering information about product systems. For example, maintenance operation could be more efficiently performed, if appropriate parts design information is available at the maintenance site. Such information shall be available as an information infrastructure for various kinds of engineering operations, and it should be easily accessible during the whole product life cycle, such as transportation, marketing, usage, repair/upgrade, take-back and recycling/disposal. Different from the traditional engineering database, life cycle support information has several characteristic requirements, such as flexible extensibility, distributed architecture, multiple viewpoints, long-time archiving, and product usage information, etc. Basic approaches for managing engineering information infrastructure are investigated, and various information contents and associated life cycle applications are discussed.

A modeling framework for investment planning in interdependent infrastructures in multi-hazard environments.

Energy Technology Data Exchange (ETDEWEB)

Brown, Nathanael J. K.; Gearhart, Jared Lee; Jones, Dean A.; Nozick, Linda Karen; Prince, Michael

2013-09-01

Currently, much of protection planning is conducted separately for each infrastructure and hazard. Limited funding requires a balance of expenditures between terrorism and natural hazards based on potential impacts. This report documents the results of a Laboratory Directed Research & Development (LDRD) project that created a modeling framework for investment planning in interdependent infrastructures focused on multiple hazards, including terrorism. To develop this framework, three modeling elements were integrated: natural hazards, terrorism, and interdependent infrastructures. For natural hazards, a methodology was created for specifying events consistent with regional hazards. For terrorism, we modeled the terrorists actions based on assumptions regarding their knowledge, goals, and target identification strategy. For infrastructures, we focused on predicting post-event performance due to specific terrorist attacks and natural hazard events, tempered by appropriate infrastructure investments. We demonstrate the utility of this framework with various examples, including protection of electric power, roadway, and hospital networks.

Measuring Financial Performance in Infrastructure: An Application to Europe and Central Asia

OpenAIRE

Ebinger, Jane O.

2006-01-01

Unintentional implicit subsidies (hidden costs) to public utilities can be considered an illegitimate claim on public resources. This paper examines the role and sources of hidden costs in the energy and water sectors in the Europe and Central Asia (ECA) region. It reviews available data and introduces a model-the Hidden Costs Calculator-that can be used to quantify the burden on governments of infrastructure policy and implementation decisions. This simple-to-apply model provides insight int...

Dynamic Collaboration Infrastructure for Hydrologic Science

Science.gov (United States)

Tarboton, D. G.; Idaszak, R.; Castillo, C.; Yi, H.; Jiang, F.; Jones, N.; Goodall, J. L.

2016-12-01

Data and modeling infrastructure is becoming increasingly accessible to water scientists. HydroShare is a collaborative environment that currently offers water scientists the ability to access modeling and data infrastructure in support of data intensive modeling and analysis. It supports the sharing of and collaboration around "resources" which are social objects defined to include both data and models in a structured standardized format. Users collaborate around these objects via comments, ratings, and groups. HydroShare also supports web services and cloud based computation for the execution of hydrologic models and analysis and visualization of hydrologic data. However, the quantity and variety of data and modeling infrastructure available that can be accessed from environments like HydroShare is increasing. Storage infrastructure can range from one's local PC to campus or organizational storage to storage in the cloud. Modeling or computing infrastructure can range from one's desktop to departmental clusters to national HPC resources to grid and cloud computing resources. How does one orchestrate this vast number of data and computing infrastructure without needing to correspondingly learn each new system? A common limitation across these systems is the lack of efficient integration between data transport mechanisms and the corresponding high-level services to support large distributed data and compute operations. A scientist running a hydrology model from their desktop may require processing a large collection of files across the aforementioned storage and compute resources and various national databases. To address these community challenges a proof-of-concept prototype was created integrating HydroShare with RADII (Resource Aware Data-centric collaboration Infrastructure) to provide software infrastructure to enable the comprehensive and rapid dynamic deployment of what we refer to as "collaborative infrastructure." In this presentation we discuss the

Developing Sustainable Urban Water-Energy Infrastructures: Applying a Multi-Sectoral Social-Ecological-Infrastructural Systems (SEIS) Framework

Science.gov (United States)

Ramaswami, A.

2016-12-01

Urban infrastructure - broadly defined to include the systems that provide water, energy, food, shelter, transportation-communication, sanitation and green/public spaces in cities - have tremendous impact on the environment and on human well-being (Ramaswami et al., 2016; Ramaswami et al., 2012). Aggregated globally, these sectors contribute 90% of global greenhouse gas (GHG) emissions and 96% of global water withdrawals. Urban infrastructure contributions to such impacts are beginning to dominate. Cities are therefore becoming the action arena for infrastructure transformations that can achieve high levels of service delivery while reducing environmental impacts and enhancing human well-being. Achieving sustainable urban infrastructure transitions requires: information about the engineered infrastructure, and its interaction with the natural (ecological-environmental) and the social sub-systems In this paper, we apply a multi-sector, multi-scalar Social-Ecological-Infrastructural Systems framework that describes the interactions among biophysical engineered infrastructures, the natural environment and the social system in a systems-approach to inform urban infrastructure transformations. We apply the SEIS framework to inform water and energy sector transformations in cities to achieve environmental and human health benefits realized at multiple scales - local, regional and global. Local scales address pollution, health, wellbeing and inequity within the city; regional scales address regional pollution, scarcity, as well as supply risks in the water-energy sectors; global impacts include greenhouse gas emissions and climate impacts. Different actors shape infrastructure transitions including households, businesses, and policy actors. We describe the development of novel cross-sectoral strategies at the water-energy nexus in cities, focusing on water, waste and energy sectors, in a case study of Delhi, India. Ramaswami, A.; Russell, A.G.; Culligan, P.J.; Sharma, K

Site Support Program Plan Infrastructure Program

International Nuclear Information System (INIS)

1995-01-01

The Fiscal Year 1996 Infrastructure Program Site Support Program Plan addresses the mission objectives, workscope, work breakdown structures (WBS), management approach, and resource requirements for the Infrastructure Program. Attached to the plan are appendices that provide more detailed information associated with scope definition. The Hanford Site's infrastructure has served the Site for nearly 50 years during defense materials production. Now with the challenges of the new environmental cleanup mission, Hanford's infrastructure must meet current and future mission needs in a constrained budget environment, while complying with more stringent environmental, safety, and health regulations. The infrastructure requires upgrading, streamlining, and enhancement in order to successfully support the site mission of cleaning up the Site, research and development, and economic transition

Clarkesville Green Infrastructure Implementation Strategy

Science.gov (United States)

The report outlines the 2012 technical assistance for Clarkesville, GA to develop a Green Infrastructure Implementation Strategy, which provides the basic building blocks for a green infrastructure plan:

Analysis of CERN computing infrastructure and monitoring data

Science.gov (United States)

Nieke, C.; Lassnig, M.; Menichetti, L.; Motesnitsalis, E.; Duellmann, D.

2015-12-01

Optimizing a computing infrastructure on the scale of LHC requires a quantitative understanding of a complex network of many different resources and services. For this purpose the CERN IT department and the LHC experiments are collecting a large multitude of logs and performance probes, which are already successfully used for short-term analysis (e.g. operational dashboards) within each group. The IT analytics working group has been created with the goal to bring data sources from different services and on different abstraction levels together and to implement a suitable infrastructure for mid- to long-term statistical analysis. It further provides a forum for joint optimization across single service boundaries and the exchange of analysis methods and tools. To simplify access to the collected data, we implemented an automated repository for cleaned and aggregated data sources based on the Hadoop ecosystem. This contribution describes some of the challenges encountered, such as dealing with heterogeneous data formats, selecting an efficient storage format for map reduce and external access, and will describe the repository user interface. Using this infrastructure we were able to quantitatively analyze the relationship between CPU/wall fraction, latency/throughput constraints of network and disk and the effective job throughput. In this contribution we will first describe the design of the shared analysis infrastructure and then present a summary of first analysis results from the combined data sources.

Railway infrastructure security

CERN Document Server

Sforza, Antonio; Vittorini, Valeria; Pragliola, Concetta

2015-01-01

This comprehensive monograph addresses crucial issues in the protection of railway systems, with the objective of enhancing the understanding of railway infrastructure security. Based on analyses by academics, technology providers, and railway operators, it explains how to assess terrorist and criminal threats, design countermeasures, and implement effective security strategies. In so doing, it draws upon a range of experiences from different countries in Europe and beyond. The book is the first to be devoted entirely to this subject. It will serve as a timely reminder of the attractiveness of the railway infrastructure system as a target for criminals and terrorists and, more importantly, as a valuable resource for stakeholders and professionals in the railway security field aiming to develop effective security based on a mix of methodological, technological, and organizational tools. Besides researchers and decision makers in the field, the book will appeal to students interested in critical infrastructur...

Security Services Lifecycle Management in on-demand infrastructure services

NARCIS (Netherlands)

Demchenko, Y.; de Laat, C.; Lopez, D.R.; García-Espín, J.A.; Qiu, J.; Zhao, G.; Rong, C.

2010-01-01

Modern e-Science and high technology industry require high-performance and complicated network and computer infrastructure to support distributed collaborating groups of researchers and applications that should be provisioned on-demand. The effective use and management of the dynamically provisioned

Network science, nonlinear science and infrastructure systems

CERN Document Server

2007-01-01

Network Science, Nonlinear Science and Infrastructure Systems has been written by leading scholars in these areas. Its express purpose is to develop common theoretical underpinnings to better solve modern infrastructural problems. It is felt by many who work in these fields that many modern communication problems, ranging from transportation networks to telecommunications, Internet, supply chains, etc., are fundamentally infrastructure problems. Moreover, these infrastructure problems would benefit greatly from a confluence of theoretical and methodological work done with the areas of Network Science, Dynamical Systems and Nonlinear Science. This book is dedicated to the formulation of infrastructural tools that will better solve these types of infrastructural problems. .

Differentiation of ileostomy from colostomy procedures: assessing the accuracy of current procedural terminology codes and the utility of natural language processing.

Science.gov (United States)

Vo, Elaine; Davila, Jessica A; Hou, Jason; Hodge, Krystle; Li, Linda T; Suliburk, James W; Kao, Lillian S; Berger, David H; Liang, Mike K

2013-08-01

Large databases provide a wealth of information for researchers, but identifying patient cohorts often relies on the use of current procedural terminology (CPT) codes. In particular, studies of stoma surgery have been limited by the accuracy of CPT codes in identifying and differentiating ileostomy procedures from colostomy procedures. It is important to make this distinction because the prevalence of complications associated with stoma formation and reversal differ dramatically between types of stoma. Natural language processing (NLP) is a process that allows text-based searching. The Automated Retrieval Console is an NLP-based software that allows investigators to design and perform NLP-assisted document classification. In this study, we evaluated the role of CPT codes and NLP in differentiating ileostomy from colostomy procedures. Using CPT codes, we conducted a retrospective study that identified all patients undergoing a stoma-related procedure at a single institution between January 2005 and December 2011. All operative reports during this time were reviewed manually to abstract the following variables: formation or reversal and ileostomy or colostomy. Sensitivity and specificity for validation of the CPT codes against the mastery surgery schedule were calculated. Operative reports were evaluated by use of NLP to differentiate ileostomy- from colostomy-related procedures. Sensitivity and specificity for identifying patients with ileostomy or colostomy procedures were calculated for CPT codes and NLP for the entire cohort. CPT codes performed well in identifying stoma procedures (sensitivity 87.4%, specificity 97.5%). A total of 664 stoma procedures were identified by CPT codes between 2005 and 2011. The CPT codes were adequate in identifying stoma formation (sensitivity 97.7%, specificity 72.4%) and stoma reversal (sensitivity 74.1%, specificity 98.7%), but they were inadequate in identifying ileostomy (sensitivity 35.0%, specificity 88.1%) and colostomy (75

Towards sustainability: An interoperability outline for a Regional ARC based infrastructure in the WLCG and EGEE infrastructures

International Nuclear Information System (INIS)

Field, L; Gronager, M; Johansson, D; Kleist, J

2010-01-01

Interoperability of grid infrastructures is becoming increasingly important in the emergence of large scale grid infrastructures based on national and regional initiatives. To achieve interoperability of grid infrastructures adaptions and bridging of many different systems and services needs to be tackled. A grid infrastructure offers services for authentication, authorization, accounting, monitoring, operation besides from the services for handling and data and computations. This paper presents an outline of the work done to integrate the Nordic Tier-1 and 2s, which for the compute part is based on the ARC middleware, into the WLCG grid infrastructure co-operated by the EGEE project. Especially, a throughout description of integration of the compute services is presented.

HIGHWAY INFRASTRUCTURE FOCUS AREA NEXT-GENERATION INFRASTRUCTURE MATERIALS VOLUME I - TECHNICAL PROPOSAL & MANAGEMENTENHANCEMENT OF TRANSPORTATION INFRASTRUCTURE WITH IRON-BASED AMORPHOUS-METAL AND CERAMIC COATINGS

Energy Technology Data Exchange (ETDEWEB)

Farmer, J C

2007-12-04

The infrastructure for transportation in the United States allows for a high level of mobility and freight activity for the current population of 300 million residents, and several million business establishments. According to a Department of Transportation study, more than 230 million motor vehicles, ships, airplanes, and railroads cars were used on 6.4 million kilometers (4 million miles) of highways, railroads, airports, and waterways in 1998. Pipelines and storage tanks were considered to be part of this deteriorating infrastructure. The annual direct cost of corrosion in the infrastructure category was estimated to be approximately $22.6 billion in 1998. There were 583,000 bridges in the United States in 1998. Of this total, 200,000 bridges were steel, 235,000 were conventional reinforced concrete, 108,000 bridges were constructed using pre-stressed concrete, and the balance was made using other materials of construction. Approximately 15 percent of the bridges accounted for at this point in time were structurally deficient, primarily due to corrosion of steel and steel reinforcement. Iron-based amorphous metals, including SAM2X5 (Fe{sub 49.7}Cr{sub 17.7}Mn{sub 1.9}Mo{sub 7.4}W{sub 1.6}B{sub 15.2}C{sub 3.8}Si{sub 2.4}) and SAM1651 (Fe{sub 48}Mo{sub 14}Cr{sub 15}Y{sub 2}C{sub 15}B{sub 6}) have been developed, and have very good corrosion resistance. These materials have been prepared as a melt-spun ribbons, as well as gas atomized powders and thermal-spray coatings. During electrochemical testing in several environments, including seawater at 90 C, the passive film stabilities of these materials were found to be comparable to that of more expensive high-performance alloys, based on electrochemical measurements of the passive film breakdown potential and general corrosion rates. These materials also performed very well in standard salt fog tests. Chromium (Cr), molybdenum (Mo) and tungsten (W) provided corrosion resistance, and boron (B) enabled glass formation

Capital Markets, Infrastructure Investment and Growth in the Asia Pacific Region

Directory of Open Access Journals (Sweden)

Michael Regan

2017-02-01

Full Text Available This paper examines the relationship between infrastructure investment activity, capital market development, the role of public institutions and economic development in the Asia Pacific. It adopts a review approach drawing on empirical evidence over recent decades. Infrastructure is shown to be an important asset class playing a central role in a nation’s output, growth, productivity and microeconomic performance. Infrastructure investment also requires investment and predictions of a widening gap in the future supply of infrastructure in the Asia Pacific will require new forms of capital from both traditional and new sources including wider use of private participation, institutional investment, asset recycling and revenue bonds. Capital market development is also necessary to raise long-term local currency finance and evidence suggests that progress with regional capital market integration is slow and a continuing reform agenda is required. The dividend for regional countries is the prospect of higher levels of economic growth with infrastructure investment, capital market development, and foreign direct investment shown to have a strong and positive association with growth. A crucial link in this association identified in the review is the part played by national and regional institutions in improving the efficiency with which infrastructure is managed and providing promising ground for further research where the importance of these links can be researched in greater depth.

Parking infrastructure: energy, emissions, and automobile life-cycle environmental accounting

Energy Technology Data Exchange (ETDEWEB)

Chester, Mikhail; Horvath, Arpad; Madanat, Samer, E-mail: mchester@cal.berkeley.edu, E-mail: horvath@ce.berkeley.edu, E-mail: madanat@ce.berkeley.edu [Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley CA 94720 (United States)

2010-07-15

The US parking infrastructure is vast and little is known about its scale and environmental impacts. The few parking space inventories that exist are typically regionalized and no known environmental assessment has been performed to determine the energy and emissions from providing this infrastructure. A better understanding of the scale of US parking is necessary to properly value the total costs of automobile travel. Energy and emissions from constructing and maintaining the parking infrastructure should be considered when assessing the total human health and environmental impacts of vehicle travel. We develop five parking space inventory scenarios and from these estimate the range of infrastructure provided in the US to be between 105 million and 2 billion spaces. Using these estimates, a life-cycle environmental inventory is performed to capture the energy consumption and emissions of greenhouse gases, CO, SO{sub 2}, NO{sub X}, VOC (volatile organic compounds), and PM{sub 10} (PM: particulate matter) from raw material extraction, transport, asphalt and concrete production, and placement (including direct, indirect, and supply chain processes) of space construction and maintenance. The environmental assessment is then evaluated within the life-cycle performance of sedans, SUVs (sports utility vehicles), and pickups. Depending on the scenario and vehicle type, the inclusion of parking within the overall life-cycle inventory increases energy consumption from 3.1 to 4.8 MJ by 0.1-0.3 MJ and greenhouse gas emissions from 230 to 380 g CO{sub 2}e by 6-23 g CO{sub 2}e per passenger kilometer traveled. Life-cycle automobile SO{sub 2} and PM{sub 10} emissions show some of the largest increases, by as much as 24% and 89% from the baseline inventory. The environmental consequences of providing the parking spaces are discussed as well as the uncertainty in allocating paved area between parking and roadways.

Site Support Program Plan Infrastructure Program

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-09-26

The Fiscal Year 1996 Infrastructure Program Site Support Program Plan addresses the mission objectives, workscope, work breakdown structures (WBS), management approach, and resource requirements for the Infrastructure Program. Attached to the plan are appendices that provide more detailed information associated with scope definition. The Hanford Site`s infrastructure has served the Site for nearly 50 years during defense materials production. Now with the challenges of the new environmental cleanup mission, Hanford`s infrastructure must meet current and future mission needs in a constrained budget environment, while complying with more stringent environmental, safety, and health regulations. The infrastructure requires upgrading, streamlining, and enhancement in order to successfully support the site mission of cleaning up the Site, research and development, and economic transition.

A Survey of Cultural Infrastructure and Performance in Medical Sciences Universities of Iran

Directory of Open Access Journals (Sweden)

Mahmood Feizi

2015-08-01

Full Text Available ​Background and objectives: Recently, the role of universities in developing and education of culture is considered increasingly but Iranian universities have great distance in achieving the desired objectives in this context. So, this study aimed to survey the cultural infrastructure and performance in medical sciences universities of Iran. Material and Methods: This is a cross-sectional study that was done using researcher-made checklist which its face and content validity were approved by the cultural experts' opinion via statistical indicators. The study was conducted in census method by responses of 25 managers of cultural affairs in medical sciences universities of Iran. The obtained data were analyzed descriptively and results were reported as frequency (percentages for qualitative and mean (standard deviation for quantitative variable. Results: The study results were presented in four areas: “the general status of universities in cultural affairs”, “cultural facilities of the universities”, “the activity of cultural organizations and publications in universities” and “performance of cultural deputies”. The results showed that although there are considerable strengths, the significant weaknesses are evident in all areas. The results of the present study were focused solely on the quantity of functions, and quality evaluation of each activity requires special attention and further investigations and interventions. Conclusion: Researchers hope that the authorities and planners use the results of this study and similar studies especially in quality of cultural practices of universities and move towards improving the status of culture in medical sciences universities in developing Iranian-Islamic culture.

INFRASTRUCTURE

CERN Multimedia

Andrea Gaddi

With all the technical services running, the attention has moved toward the next shutdown that will be spent to perform those modifications needed to enhance the reliability of CMS Infrastructures. Just to give an example for the cooling circuit, a set of re-circulating bypasses will be installed into the TS/CV area to limit the pressure surge when a circuit is partially shut-off. This problem has affected especially the Endcap Muon cooling circuit in the past. Also the ventilation of the UXC55 has to be revisited, allowing the automatic switching to full extraction in case of magnet quench. (Normally 90% of the cavern air is re-circulated by the ventilation system.) Minor modifications will concern the gas distribution, while the DSS action-matrix has to be refined according to the experience gained with operating the detector for a while. On the powering side, some LV power lines have been doubled and the final schematics of the UPS coverage for the counting rooms have been released. The most relevant inte...

INFRASTRUCTURE

CERN Multimedia

Andrea Gaddi.

The various water-cooling circuits ran smoothly over the summer. The overall performance of the cooling system is satisfactory, even if some improvements are possible, concerning the endcap water-cooling and the C6F14 circuits. In particular for the endcap cooling circuit, we aim to lower the water temperature, to provide more margin for RPC detectors. An expert-on-call piquet has been established during the summer global run, assuring the continuous supervision of the installations. An effort has been made to collect and harmonize the existing documentation on the cooling infrastructures at P5. The last six months have seen minor modifications to the electrical power network at P5. Among these, the racks in USC55 for the Tracker and Sniffer systems, which are backed up by the diesel generator in case of power outage, have been equipped with new control boxes to allow a remote restart. Other interventions have concerned the supply of assured power to those installations that are essential for CMS to run eff...

INFRASTRUCTURE

CERN Document Server

A. Gaddi

2011-01-01

During the last winter technical stop, a number of corrective maintenance activities and infrastructure consolidation work-packages were completed. On the surface, the site cooling facility has passed the annual maintenance process that includes the cleaning of the two evaporative cooling towers, the maintenance of the chiller units and the safety checks on the software controls. In parallel, CMS teams, reinforced by PH-DT group personnel, have worked to shield the cooling gauges for TOTEM and CASTOR against the magnetic stray field in the CMS Forward region, to add labels to almost all the valves underground and to clean all the filters in UXC55, USC55 and SCX5. Following the insertion of TOTEM T1 detector, the cooling circuit has been branched off and commissioned. The demineraliser cartridges have been replaced as well, as they were shown to be almost saturated. New instrumentation has been installed in the SCX5 PC farm cooling and ventilation network, in order to monitor the performance of the HVAC system...

Safeguarding public values in gas infrastructure expansion. A comparison of two investment projects

International Nuclear Information System (INIS)

De Joode, J.

2007-02-01

The realisation of new gas infrastructure projects affects overall gas market performance with respect to the public values of affordability and security of supply. However, the actual contribution of a gas infrastructure expansion project to system affordability and security of supply depends upon the institutional design of the market (legislation, regulatory codes and arrangements, market rules, etc.). In this paper we link the institutional design applicable to two specific gas infrastructure projects with the safeguarding of the aforementioned public values. We conclude that path dependencies can cause large differences in the contribution of the projects to the safeguarding of public values

Air pollution abatement performances of green infrastructure in open road and built-up street canyon environments - A review

Science.gov (United States)

Abhijith, K. V.; Kumar, Prashant; Gallagher, John; McNabola, Aonghus; Baldauf, Richard; Pilla, Francesco; Broderick, Brian; Di Sabatino, Silvana; Pulvirenti, Beatrice

2017-08-01

Intensifying the proportion of urban green infrastructure has been considered as one of the remedies for air pollution levels in cities, yet the impact of numerous vegetation types deployed in different built environments has to be fully synthesised and quantified. This review examined published literature on neighbourhood air quality modifications by green interventions. Studies were evaluated that discussed personal exposure to local sources of air pollution under the presence of vegetation in open road and built-up street canyon environments. Further, we critically evaluated the available literature to provide a better understanding of the interactions between vegetation and surrounding built-up environments and ascertain means of reducing local air pollution exposure using green infrastructure. The net effects of vegetation in each built-up environment are also summarised and possible recommendations for the future design of green infrastructure are proposed. In a street canyon environment, high-level vegetation canopies (trees) led to a deterioration in air quality, while low-level green infrastructure (hedges) improved air quality conditions. For open road conditions, wide, low porosity and tall vegetation leads to downwind pollutant reductions while gaps and high porosity vegetation could lead to no improvement or even deteriorated air quality. The review considers that generic recommendations can be provided for vegetation barriers in open road conditions. Green walls and roofs on building envelopes can also be used as effective air pollution abatement measures. The critical evaluation of the fundamental concepts and the amalgamation of key technical features of past studies by this review could assist urban planners to design and implement green infrastructures in the built environment.

Linear infrastructure impacts on landscape hydrology.

Science.gov (United States)

Raiter, Keren G; Prober, Suzanne M; Possingham, Hugh P; Westcott, Fiona; Hobbs, Richard J

2018-01-15

The extent of roads and other forms of linear infrastructure is burgeoning worldwide, but their impacts are inadequately understood and thus poorly mitigated. Previous studies have identified many potential impacts, including alterations to the hydrological functions and soil processes upon which ecosystems depend. However, these impacts have seldom been quantified at a regional level, particularly in arid and semi-arid systems where the gap in knowledge is the greatest, and impacts potentially the most severe. To explore the effects of extensive track, road, and rail networks on surface hydrology at a regional level we assessed over 1000 km of linear infrastructure, including approx. 300 locations where ephemeral streams crossed linear infrastructure, in the largely intact landscapes of Australia's Great Western Woodlands. We found a high level of association between linear infrastructure and altered surface hydrology, with erosion and pooling 5 and 6 times as likely to occur on-road than off-road on average (1.06 erosional and 0.69 pooling features km -1 on vehicle tracks, compared with 0.22 and 0.12 km -1 , off-road, respectively). Erosion severity was greater in the presence of tracks, and 98% of crossings of ephemeral streamlines showed some evidence of impact on water movement (flow impedance (62%); diversion of flows (73%); flow concentration (76%); and/or channel initiation (31%)). Infrastructure type, pastoral land use, culvert presence, soil clay content and erodibility, mean annual rainfall, rainfall erosivity, topography and bare soil cover influenced the frequency and severity of these impacts. We conclude that linear infrastructure frequently affects ephemeral stream flows and intercepts natural overland and near-surface flows, artificially changing site-scale moisture regimes, with some parts of the landscape becoming abnormally wet and other parts becoming water-starved. In addition, linear infrastructure frequently triggers or exacerbates erosion

Indonesian infrastructure development

International Nuclear Information System (INIS)

Djojohadikusumo, H.S.

1991-01-01

It is with the achievement of a competitive advantage as a motivating factor that the Indonesian coal industry is engaged in infrastructure development including both small regionally trade-based terminals and high capacity capesize bulk terminals to support large scale coal exports. The unique characteristics of Indonesian coal quality, low production costs and the optimization of transport economics in accordance with vessel size provides great incentives for the European and U.S. market. This paper reports on the infrastructure development, Indonesian coal resources, and coal exports

VADMC: The Infrastructure

Directory of Open Access Journals (Sweden)

Le Sidaner Pierre

2012-09-01

Full Text Available The Virtual Atomic and Molecular Data Centre (VAMDC; http://www.vamdc.eu is a European-Union-funded collaboration between several groups involved in the generation, evaluation, and use of atomic and molecular data. VAMDC aims at building a secure, documented, flexible and interoperable e-Science environment-based interface to existing atomic and molecular databases. The global infrastructure of this project uses technologies derived from the International Virtual Observatory Alliance (IVOA. The infrastructure, as well as the first database prototypes will be described.

Momentum in Transformation of Technical Infrastructure

DEFF Research Database (Denmark)

Nielsen, Susanne Balslev; Elle, Morten

1999-01-01

Current infrastructure holds a considerable momentum and this momentum is a barrier of transformation towards more sustainable technologies and more sustainable styles of network management. Using the sewage sector in Denmark as an example of a technical infrastructure system this paper argues...... that there are technical, economical and social aspects of the current infrastructures momentum....

Monitoring the US ATLAS Network Infrastructure with perfSONAR-PS

CERN Document Server

McKee, S; The ATLAS collaboration; Laurens, P; Severini, H; Wlodek, T; Wolff, S; Zurawski, J

2012-01-01

We will present our motivations for deploying and using the perfSONAR-PS Performance Toolkit at ATLAS sites in the United States and describe our experience in using it. This software creates a dedicated monitoring server, capable of collecting and performing a wide range of passive and active network measurements. Each independent instance is managed locally, but able to federate on a global scale; enabling a full view of the network infrastructure that spans domain boundaries. This information, available through web service interfaces, can easily be retrieved to create customized applications. USATLAS has developed a centralized “dashboard” offering network administrators, users, and decision makers the ability to see the performance of the network at a glance. The dashboard framework includes the ability to notify users (alarm) when problems are found, thus allowing rapid response to potential problems and making perfSONAR-PS crucial to the operation of our distributed computing infrastructure.

Development and Integration of a HEMS with an Advanced Smart Metering Infrastructure

DEFF Research Database (Denmark)

Diaz, Enrique Rodriguez; Palacios-Garcia, Emilio; Savaghebi, Mehdi

2016-01-01

Advanced metering infrastructures (AMI) are required for the future smart grid operation by providing useful information about users’ behavior as well as grid performance such as the consumption and power quality. This paper is focused on the development of a LabVIEW application for user-interfac......Advanced metering infrastructures (AMI) are required for the future smart grid operation by providing useful information about users’ behavior as well as grid performance such as the consumption and power quality. This paper is focused on the development of a LabVIEW application for user......-interface and implementation of a Home Energy Management System (HEMS) based on AMI....

Performance of Oil Infrastructure during Hurricane Harvey

Science.gov (United States)

Bernier, C.; Kameshwar, S.; Padgett, J.

2017-12-01

Three major refining centers - Corpus Christi, Houston, and Beaumont/Port Arthur - were affected during Hurricane Harvey. Damage to oil infrastructure, especially aboveground storage tanks (ASTs), caused the release of more than a million gallons of hazardous chemicals in the environment. The objective of this presentation is to identify and gain a better understanding of the different damage mechanisms that occurred during Harvey in order to avoid similar failures during future hurricane events. First, a qualitative description of the damage suffered by ASTs during Hurricane Harvey is presented. Analysis of aerial imagery and incident reports indicate that almost all spills were caused by rainfall and the associated flooding. The largest spill was caused by two large ASTs that floated due to flooding in the Houston Ship Channel releasing 500,000 gallons of gasoline. The vulnerability of ASTs subjected to flooding was already well known and documented from previous storm events. In addition to flooding, Harvey also exposed the vulnerability of ASTs with external floating roof to extreme rainfall; more than 15 floating roofs sank or tilted due to rain water accumulation on them, releasing pollutants in the atmosphere. Secondly, recent fragility models developed by the authors are presented which allow structural vulnerability assessment of floating roofs during rainfall events and ASTs during flood events. The fragility models are then coupled with Harvey rainfall and flood empirical data to identify the conditions (i.e.: internal liquid height or density, drainage system design and efficiency, etc.) that could have led to the observed failures during Hurricane Harvey. Finally, the conditions causing tank failures are studied to propose mitigation measures to prevent future AST failures during severe storm, flood, or rainfall events.

Nested barriers to low-carbon infrastructure investment

Science.gov (United States)

Granoff, Ilmi; Hogarth, J. Ryan; Miller, Alan

2016-12-01

Low-carbon, 'green' economic growth is necessary to simultaneously improve human welfare and avoid the worst impacts of climate change and environmental degradation. Infrastructure choices underpin both the growth and the carbon intensity of the economy. This Perspective explores the barriers to investing in low-carbon infrastructure and some of the policy levers available to overcome them. The barriers to decarbonizing infrastructure 'nest' within a set of barriers to infrastructure development more generally that cause spending on infrastructure--low-carbon or not--to fall more than 70% short of optimal levels. Developing countries face additional barriers such as currency and political risks that increase the investment gap. Low-carbon alternatives face further barriers, such as commercialization risk and financial and public institutions designed for different investment needs. While the broader barriers to infrastructure investment are discussed in other streams of literature, they are often disregarded in literature on renewable energy diffusion or climate finance, which tends to focus narrowly on the project costs of low- versus high-carbon options. We discuss how to overcome the barriers specific to low-carbon infrastructure within the context of the broader infrastructure gap.

The social impact of natural language processing

DEFF Research Database (Denmark)

Hovy, Dirk; Spruit, Shannon

Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...... individually identifiable, and the outcome of NLP experiments and applications can have a direct effect on their lives. This change should spawn a debate about the ethical implications of NLP, but until now, the internal discourse in the field has not followed the technological development. This position paper...... identifies a number of social implications that NLP research may have, and discusses their ethical significance, as well as ways to address them....

Developing a grid infrastructure in Cuba

Energy Technology Data Exchange (ETDEWEB)

Lopez Aldama, D.; Dominguez, M.; Ricardo, H.; Gonzalez, A.; Nolasco, E.; Fernandez, E.; Fernandez, M.; Sanchez, M.; Suarez, F.; Nodarse, F.; Moreno, N.; Aguilera, L.

2007-07-01

A grid infrastructure was deployed at Centro de Gestion de la Informacion y Desarrollo de la Energia (CUBAENERGIA) in the frame of EELA project and of a national initiative for developing a Cuban Network for Science. A stand-alone model was adopted to overcome connectivity limitations. The e-infrastructure is based on gLite-3.0 middleware and is fully compatible with EELA-infrastructure. Afterwards, the work was focused on grid applications. The application GATE was deployed from the early beginning for biomedical users. Further, two applications were deployed on the local grid infrastructure: MOODLE for e-learning and AERMOD for assessment of local dispersion of atmospheric pollutants. Additionally, our local grid infrastructure was made interoperable with a Java based distributed system for bioinformatics calculations. This experience could be considered as a suitable approach for national networks with weak Internet connections. (Author)

Building Resilient Cloud Over Unreliable Commodity Infrastructure

OpenAIRE

Kedia, Piyus; Bansal, Sorav; Deshpande, Deepak; Iyer, Sreekanth

2012-01-01

Cloud Computing has emerged as a successful computing paradigm for efficiently utilizing managed compute infrastructure such as high speed rack-mounted servers, connected with high speed networking, and reliable storage. Usually such infrastructure is dedicated, physically secured and has reliable power and networking infrastructure. However, much of our idle compute capacity is present in unmanaged infrastructure like idle desktops, lab machines, physically distant server machines, and lapto...

Characterization of investment in infrastructure in Colombia 12 Years of Analysis

Directory of Open Access Journals (Sweden)

Oscar Torres Yarzagaray

2018-05-01

Full Text Available This research article seeks to confirm the effects of the relationship between the state investment in infrastructure and trade growth. A detailed research is made of the main investments made by the Colombian state in the different infrastructures that the country requires to improve its logistics performance. The relationship between investment in infrastructure and the growth of the economy is also evident. The previous one is very important to know since it derives the main explanations in relation to an issue as important for Colombia as it is to know if there is a relationship between the variables which have been studied and raised in this research article, in addition to comparing with other economics to find out how we are in a competitive and globalized context.

Making Energy Infrastructure

DEFF Research Database (Denmark)

Schick, Lea; Winthereik, Brit Ross

2016-01-01

in a pragmatic present and in an unprecedented future; between being tied to the specific site of the competition and belonging to no place in particular; and not least between being predominantly an art project and primarily an infrastructure project. Remarkable differences between cosmopolitics and smooth...... politics appear here, especially compared to the literature analysing the roles played by art and design when imagining new ways of living with energy. Oscillation between smooth politics and cosmopolitics may provide a generative way forward for actors wishing to engage in the infrastructuring...

MARKETING AND LOGISTICS INFRASTRUCTURE DEVELOPMENT OF THE TRANSPORT SERVICES MARKET

Directory of Open Access Journals (Sweden)

V. I. Kopytko

2009-02-01

Full Text Available Taking into account the modern trends of world economy development, the opportunities of increasing the competitiveness of the Ukrainian transport system on the base of marketing-logistical providing the development of infrastructure of transport services market are presented. The analysis of marketing-logistical approaches of estimation of the efficiency of operation of transport infrastructure objects is performed. The condition of theoretical and practical aspects of the transport services market is elucidated, the examples of logistical concepts are given, considering the work experience of transport enterprises, the ways of formation of regional transport-logistical associations are offered.

Infrastructure expenditures and costs. Practical guidelines to calculate total infrastructure costs for five modes of transport. Final report

International Nuclear Information System (INIS)

2005-11-01

Transport infrastructures in general, and the Trans European Transport Network (TEN-T) in particular, play an important role in achieving the medium and long-term objectives of the European Union. In view of this, the Commission has recently adopted a revision of the guidelines for the TEN-T. The main consequences of this revision are the need for a better understanding of the investments made by the member states in the TEN-T and the need for ensuring optimal consistency in the reporting by the Members States of such investments. With Regulation number 1108/70 the Council of the European Communities introduced an accounting system for expenditure on infrastructure in respect of transport by rail, road and inland waterways. The purpose of this regulation is to introduce a standard and permanent accounting system for infrastructure expenditures. However maritime and aviation infrastructure were not included. Further, the need for an effective and easy to apply classification for infrastructure investments concerning all five transport modes was still pending. Therefore, DG TREN has commissioned ECORYS Transport and CE Delft to study the expenditures and costs of infrastructure, to propose an adequate classification of expenditures, and to propose a method for translating data on expenditures into data on costs. The objectives of the present study are threefold: To set out a classification of infrastructure expenditures, in order to increase knowledge of expenditures related to transport infrastructures. This classification should support a better understanding of fixed and variable infrastructure costs; To detail the various components of such expenditures for five modes of transportation, which would enable the monitoring of infrastructure expenditures and costs; and to set up a methodology to move from annual series of expenditures to costs, including fixed and variable elements.

Application of Systematic Approach to the Study of Financial and Credit Infrastructure of Agriculture

Directory of Open Access Journals (Sweden)

Aleksandr Vladimirovich Dorzhdeev

2015-12-01

Full Text Available The increasing value of development of financial and credit infrastructure of agriculture in reproduction activity of agricultural producers is caused by the need of continuous receipt of funds for financing the requirements of agriculture and limited opportunities of selffinancing as a result of rather high capital intensity at rather low level of profitability. The systematic approach to research of financial and credit infrastructure of agriculture assumes its consideration as a set of the interconnected and interdependent subsystems and their elements focused on performance of certain functions. The use of systematic approach deepens complete theoretical ideas about the financial and credit infrastructure of agriculture. In the present article the essence of financial and credit infrastructure of agriculture in the points of view of functional and institutional aspects is opened, its subsystems are characterized, their functions and elements are defined by the authors. The study of the systemic features of market infrastructure allowed the authors to reveal the signs peculiar to financial and credit infrastructure of agricultural sector.

The Fermilab data storage infrastructure

International Nuclear Information System (INIS)

Jon A Bakken et al.

2003-01-01

Fermilab, in collaboration with the DESY laboratory in Hamburg, Germany, has created a petabyte scale data storage infrastructure to meet the requirements of experiments to store and access large data sets. The Fermilab data storage infrastructure consists of the following major storage and data transfer components: Enstore mass storage system, DCache distributed data cache, ftp and Grid ftp for primarily external data transfers. This infrastructure provides a data throughput sufficient for transferring data from experiments' data acquisition systems. It also allows access to data in the Grid framework

Flowscapes : Designing infrastructure as landscape

NARCIS (Netherlands)

Nijhuis, S.; Jauslin, D.T.; Van der Hoeven, F.D.

2015-01-01

Social, cultural and technological developments of our society are demanding a fundamental review of the planning and design of its landscapes and infrastructures, in particular in relation to environmental issues and sustainability. Transportation, green and water infrastructures are important

Data Distribution Service-Based Interoperability Framework for Smart Grid Testbed Infrastructure

Directory of Open Access Journals (Sweden)

Tarek A. Youssef

2016-03-01

Full Text Available This paper presents the design and implementation of a communication and control infrastructure for smart grid operation. The proposed infrastructure enhances the reliability of the measurements and control network. The advantages of utilizing the data-centric over message-centric communication approach are discussed in the context of smart grid applications. The data distribution service (DDS is used to implement a data-centric common data bus for the smart grid. This common data bus improves the communication reliability, enabling distributed control and smart load management. These enhancements are achieved by avoiding a single point of failure while enabling peer-to-peer communication and an automatic discovery feature for dynamic participating nodes. The infrastructure and ideas presented in this paper were implemented and tested on the smart grid testbed. A toolbox and application programing interface for the testbed infrastructure are developed in order to facilitate interoperability and remote access to the testbed. This interface allows control, monitoring, and performing of experiments remotely. Furthermore, it could be used to integrate multidisciplinary testbeds to study complex cyber-physical systems (CPS.

Private investments in new infrastructures

NARCIS (Netherlands)

Baarsma, B.; Poort, J.P.; Teulings, C.N.; de Nooij, M.

2004-01-01

The Lisbon Strategy demands large investments in transport projects, broadband networks and energy infrastructure. Despite the widely-acknowledged need for investments in new infrastructures, European and national public funds are scarce in the current economic climate. Moreover, both policy-makers

Infrastructuring When You Don’t

DEFF Research Database (Denmark)

Bolmsten, Johan; Dittrich, Yvonne

2011-01-01

infrastructures. Such infrastructures enable integration between different applications and tasks but, at the same time, introduce constraints to ensure interoperability. How can the ad vantages of End-User Development be kept without jeopardizing the integration between different applications? The article...

E-mobility charging infrastructure. Wish and reality

Energy Technology Data Exchange (ETDEWEB)

Wunnerlich, Stephan [EnBW Energie Baden-Wuerttemberg AG, Karlsruhe (Germany)

2013-06-01

An adequate charging infrastructure for electric vehicles is necessary for the success of electric vehicles. The wishful thinking is, to build up quickly a charging infrastructure to the electric vehicles since they will be launched. The wishful thinking is to build up a cheap and easy to handle infrastructure in order to keep it cheap and simple for the customer. The wishful thinking is that the process of building up such infrastructure is smooth and based on clear rules, regulations and standards. The wishful thinking is that public charging infrastructure operators can earn money with the sales of kWh or with marketing their public charging stations. Reality shows a different picture. Public charging Infrastructure is expensive to install and to manage, public charging infrastructure is difficult to process as well, there are only few electric cars on the street and you cannot earn enough money with selling electricity or marketing. Only a large number of electric vehicles and new and innovative solutions can help to overcome this gap between wish and reality. (orig.)

Modelling the South African fruit export infrastructure: A case study

CSIR Research Space (South Africa)

Ortmann, FG

2006-04-01

Full Text Available A description is provided of work performed as part of the fruit logistics infrastructure project commissioned by the South African Deciduous Fruit Producers’ Trust and coordinated by the South African Council for Scientific and Industrial Research...

INFRASTRUCTURE

CERN Multimedia

Andrea Gaddi

2010-01-01

In addition to the intense campaign of replacement of the leaky bushing on the Endcap circuits, other important activities have also been completed, with the aim of enhancing the overall reliability of the cooling infrastructures at CMS. Remaining with the Endcap circuit, the regulating valve that supplies cold water to the primary side of the circuit heat-exchanger, is not well adapted in flow capability and a new part has been ordered, to be installed during a stop of LHC. The instrumentation monitoring of the refilling rate of the circuits has been enhanced and we can now detect leaks as small as 0.5 cc/sec, on circuits that have nominal flow rates of some 20 litres/sec. Another activity starting now that the technical stop is over is the collection of spare parts that are difficult to find on the market. These will be stored at P5 with the aim of reducing down-time in case of component failure. Concerning the ventilation infrastructures, it has been noticed that in winter time the relative humidity leve...

Infrastructure for Multiphysics Software Integration in High Performance Computing-Aided Science and Engineering

Energy Technology Data Exchange (ETDEWEB)

Campbell, Michael T. [Illinois Rocstar LLC, Champaign, IL (United States); Safdari, Masoud [Illinois Rocstar LLC, Champaign, IL (United States); Kress, Jessica E. [Illinois Rocstar LLC, Champaign, IL (United States); Anderson, Michael J. [Illinois Rocstar LLC, Champaign, IL (United States); Horvath, Samantha [Illinois Rocstar LLC, Champaign, IL (United States); Brandyberry, Mark D. [Illinois Rocstar LLC, Champaign, IL (United States); Kim, Woohyun [Illinois Rocstar LLC, Champaign, IL (United States); Sarwal, Neil [Illinois Rocstar LLC, Champaign, IL (United States); Weisberg, Brian [Illinois Rocstar LLC, Champaign, IL (United States)

2016-10-15

The project described in this report constructed and exercised an innovative multiphysics coupling toolkit called the Illinois Rocstar MultiPhysics Application Coupling Toolkit (IMPACT). IMPACT is an open source, flexible, natively parallel infrastructure for coupling multiple uniphysics simulation codes into multiphysics computational systems. IMPACT works with codes written in several high-performance-computing (HPC) programming languages, and is designed from the beginning for HPC multiphysics code development. It is designed to be minimally invasive to the individual physics codes being integrated, and has few requirements on those physics codes for integration. The goal of IMPACT is to provide the support needed to enable coupling existing tools together in unique and innovative ways to produce powerful new multiphysics technologies without extensive modification and rewrite of the physics packages being integrated. There are three major outcomes from this project: 1) construction, testing, application, and open-source release of the IMPACT infrastructure, 2) production of example open-source multiphysics tools using IMPACT, and 3) identification and engagement of interested organizations in the tools and applications resulting from the project. This last outcome represents the incipient development of a user community and application echosystem being built using IMPACT. Multiphysics coupling standardization can only come from organizations working together to define needs and processes that span the space of necessary multiphysics outcomes, which Illinois Rocstar plans to continue driving toward. The IMPACT system, including source code, documentation, and test problems are all now available through the public gitHUB.org system to anyone interested in multiphysics code coupling. Many of the basic documents explaining use and architecture of IMPACT are also attached as appendices to this document. Online HTML documentation is available through the gitHUB site

Broadband for all closing the infrastructure gap

CSIR Research Space (South Africa)

Roux, K

2015-10-01

Full Text Available than just addressing the infrastructure issue. The CSIR is mapping the country’s broadband infrastructure to understand where the largest gaps are, is developing models for how those gaps in broadband infrastructure can be closed. In this presentation...

Autonomic Management of Application Workflows on Hybrid Computing Infrastructure

Directory of Open Access Journals (Sweden)

Hyunjoo Kim

2011-01-01

Full Text Available In this paper, we present a programming and runtime framework that enables the autonomic management of complex application workflows on hybrid computing infrastructures. The framework is designed to address system and application heterogeneity and dynamics to ensure that application objectives and constraints are satisfied. The need for such autonomic system and application management is becoming critical as computing infrastructures become increasingly heterogeneous, integrating different classes of resources from high-end HPC systems to commodity clusters and clouds. For example, the framework presented in this paper can be used to provision the appropriate mix of resources based on application requirements and constraints. The framework also monitors the system/application state and adapts the application and/or resources to respond to changing requirements or environment. To demonstrate the operation of the framework and to evaluate its ability, we employ a workflow used to characterize an oil reservoir executing on a hybrid infrastructure composed of TeraGrid nodes and Amazon EC2 instances of various types. Specifically, we show how different applications objectives such as acceleration, conservation and resilience can be effectively achieved while satisfying deadline and budget constraints, using an appropriate mix of dynamically provisioned resources. Our evaluations also demonstrate that public clouds can be used to complement and reinforce the scheduling and usage of traditional high performance computing infrastructure.

Development of a lunar infrastructure

Science.gov (United States)

Burke, J. D.

If humans are to reside continuously and productively on the Moon, they must be surrounded and supported there by an infrastructure having some attributes of the support systems that have made advanced civilization possible on Earth. Building this lunar infrastructure will, in a sense, be an investment. Creating it will require large resources from Earth, but once it exists it can do much to limit the further demands of a lunar base for Earthside support. What is needed for a viable lunar infrastructure? This question can be approached from two directions. The first is to examine history, which is essentially a record of growing information structures among humans on Earth (tribes, agriculture, specialization of work, education, ethics, arts and sciences, cities and states, technology). The second approach is much less secure but may provide useful insights: it is to examine the minimal needs of a small human community - not just for physical survival but for a stable existence with a net product output. This paper presents a summary, based on present knowledge of the Moon and of the likely functions of a human community there, of some of these infrastructure requirements, and also discusses possible ways to proceed toward meeting early infrastructure needs.

Financing for Infrastructure Investment in G-20 Countries.

OpenAIRE

Sengupta, Ramprasad; Mukherjee, Sacchidananda; Gupta, Manish

2015-01-01

This study looks into various sources of financing infrastructure and the demands for infrastructure investments and highlights the mismatch between demand and supply of funds for infrastructure financing in India. In order to address this mismatch, and given the constraints of traditional sources of infrastructure finance in India, this paper suggests credit enhancement scheme (CES) as an alternative framework for mobilizing long-term infrastructure finance. It suggests for scaling up CES as...

Monitoring the US ATLAS Network Infrastructure with perfSONAR-PS

International Nuclear Information System (INIS)

McKee, Shawn; Lake, Andrew; Laurens, Philippe; Severini, Horst; Wlodek, Tomasz; Wolff, Stephen; Zurawski, Jason

2012-01-01

Global scientific collaborations, such as ATLAS, continue to push the network requirements envelope. Data movement in this collaboration is routinely including the regular exchange of petabytes of datasets between the collection and analysis facilities in the coming years. These requirements place a high emphasis on networks functioning at peak efficiency and availability; the lack thereof could mean critical delays in the overall scientific progress of distributed data-intensive experiments like ATLAS. Network operations staff routinely must deal with problems deep in the infrastructure; this may be as benign as replacing a failing piece of equipment, or as complex as dealing with a multi-domain path that is experiencing data loss. In either case, it is crucial that effective monitoring and performance analysis tools are available to ease the burden of management. We will report on our experiences deploying and using the perfSONAR-PS Performance Toolkit at ATLAS sites in the United States. This software creates a dedicated monitoring server, capable of collecting and performing a wide range of passive and active network measurements. Each independent instance is managed locally, but able to federate on a global scale; enabling a full view of the network infrastructure that spans domain boundaries. This information, available through web service interfaces, can easily be retrieved to create customized applications. The US ATLAS collaboration has developed a centralized “dashboard” offering network administrators, users, and decision makers the ability to see the performance of the network at a glance. The dashboard framework includes the ability to notify users (alarm) when problems are found, thus allowing rapid response to potential problems and making perfSONAR-PS crucial to the operation of our distributed computing infrastructure.

Research on Methods for Discovering and Selecting Cloud Infrastructure Services Based on Feature Modeling

Directory of Open Access Journals (Sweden)

Huamin Zhu

2016-01-01

Full Text Available Nowadays more and more cloud infrastructure service providers are providing large numbers of service instances which are a combination of diversified resources, such as computing, storage, and network. However, for cloud infrastructure services, the lack of a description standard and the inadequate research of systematic discovery and selection methods have exposed difficulties in discovering and choosing services for users. First, considering the highly configurable properties of a cloud infrastructure service, the feature model method is used to describe such a service. Second, based on the description of the cloud infrastructure service, a systematic discovery and selection method for cloud infrastructure services are proposed. The automatic analysis techniques of the feature model are introduced to verify the model’s validity and to perform the matching of the service and demand models. Finally, we determine the critical decision metrics and their corresponding measurement methods for cloud infrastructure services, where the subjective and objective weighting results are combined to determine the weights of the decision metrics. The best matching instances from various providers are then ranked by their comprehensive evaluations. Experimental results show that the proposed methods can effectively improve the accuracy and efficiency of cloud infrastructure service discovery and selection.

Financing and Managing Infrastructure in Africa

OpenAIRE

Mthuli Ncube

2010-01-01

This paper discusses various ways of financing infrastructure under public private partnership (PPP) arrangements in Africa. The paper presents the standard literature on the relationship between infrastructure investment and economic growth, highlighting the contradictory findings in the literature. Stylised facts about the state of infrastructure in Africa, compared with other regions such as Asia and Latin America, are also presented. Examples of how PPPs structures work are discussed incl...

Hybrid data mining-regression for infrastructure risk assessment based on zero-inflated data

International Nuclear Information System (INIS)

Guikema, S.D.; Quiring, S.M.

2012-01-01

Infrastructure disaster risk assessment seeks to estimate the probability of a given customer or area losing service during a disaster, sometimes in conjunction with estimating the duration of each outage. This is often done on the basis of past data about the effects of similar events impacting the same or similar systems. In many situations this past performance data from infrastructure systems is zero-inflated; it has more zeros than can be appropriately modeled with standard probability distributions. The data are also often non-linear and exhibit threshold effects due to the complexities of infrastructure system performance. Standard zero-inflated statistical models such as zero-inflated Poisson and zero-inflated negative binomial regression models do not adequately capture these complexities. In this paper we develop a novel method that is a hybrid classification tree/regression method for complex, zero-inflated data sets. We investigate its predictive accuracy based on a large number of simulated data sets and then demonstrate its practical usefulness with an application to hurricane power outage risk assessment for a large utility based on actual data from the utility. While formulated for infrastructure disaster risk assessment, this method is promising for data-driven analysis for other situations with zero-inflated, complex data exhibiting response thresholds.

Michigan E85 Infrastructure

Energy Technology Data Exchange (ETDEWEB)

Sandstrom, Matthew M.

2012-03-30

This is the final report for a grant-funded project to financially assist and otherwise provide support to projects that increase E85 infrastructure in Michigan at retail fueling locations. Over the two-year project timeframe, nine E85 and/or flex-fuel pumps were installed around the State of Michigan at locations currently lacking E85 infrastructure. A total of five stations installed the nine pumps, all providing cost share toward the project. By using cost sharing by station partners, the $200,000 provided by the Department of Energy facilitated a total project worth $746,332.85. This project was completed over a two-year timetable (eight quarters). The first quarter of the project focused on project outreach to station owners about the incentive on the installation and/or conversion of E85 compatible fueling equipment including fueling pumps, tanks, and all necessary electrical and plumbing connections. Utilizing Clean Energy Coalition (CEC) extensive knowledge of gasoline/ethanol infrastructure throughout Michigan, CEC strategically placed these pumps in locations to strengthen the broad availability of E85 in Michigan. During the first and second quarters, CEC staff approved projects for funding and secured contracts with station owners; the second through eighth quarters were spent working with fueling station owners to complete projects; the third through eighth quarters included time spent promoting projects; and beginning in the second quarter and running for the duration of the project was spent performing project reporting and evaluation to the US DOE. A total of 9 pumps were installed (four in Elkton, two in Sebewaing, one in East Lansing, one in Howell, and one in Whitmore Lake). At these combined station locations, a total of 192,445 gallons of E85, 10,786 gallons of E50, and 19,159 gallons of E30 were sold in all reporting quarters for 2011. Overall, the project has successfully displaced 162,611 gallons (2,663 barrels) of petroleum, and reduced

Carbon Footprint Linked to transport infrastructures

International Nuclear Information System (INIS)

Crespo Garcia, L.; Jimenez Arroyo, F.

2013-01-01

Quantification of emissions of greenhouse effect gases associated to transport infrastructures has been addressed in different ways. The first tools for this purpose appeared with the application of ISO 14040 standards (Life cycle analysis) that, applied to the particular case of energetic resources, led to a new concept known as carbon footprint. There is a specific standard for this quantification (ISO 14064) according to which, for the case of infrastructures, emissions and environmental effects linked to the whole life cycle are assessed taking into account all the stages: building, exploitation, maintenance and dismantling. the key point to perform this analysis is the accurate definition of a calculation methodology to be applied to the inventory of activities covered, in order to avoid information lacks, overlaps or redundancies. Quantification tools for emissions are effectively a reality, but social and political will, supported by strong economical reasons recognizing energy as a vital resource, is necessary for these tools to be developed, enhanced and used in a systematic way as a key decision element to choice among different transport alternatives. (Author) 23 refs.

Validation of natural language processing to extract breast cancer pathology procedures and results

Directory of Open Access Journals (Sweden)

Arika E Wieneke

2015-01-01

Full Text Available Background: Pathology reports typically require manual review to abstract research data. We developed a natural language processing (NLP system to automatically interpret free-text breast pathology reports with limited assistance from manual abstraction. Methods: We used an iterative approach of machine learning algorithms and constructed groups of related findings to identify breast-related procedures and results from free-text pathology reports. We evaluated the NLP system using an all-or-nothing approach to determine which reports could be processed entirely using NLP and which reports needed manual review beyond NLP. We divided 3234 reports for development (2910, 90%, and evaluation (324, 10% purposes using manually reviewed pathology data as our gold standard. Results: NLP correctly coded 12.7% of the evaluation set, flagged 49.1% of reports for manual review, incorrectly coded 30.8%, and correctly omitted 7.4% from the evaluation set due to irrelevancy (i.e. not breast-related. Common procedures and results were identified correctly (e.g. invasive ductal with 95.5% precision and 94.0% sensitivity, but entire reports were flagged for manual review because of rare findings and substantial variation in pathology report text. Conclusions: The NLP system we developed did not perform sufficiently for abstracting entire breast pathology reports. The all-or-nothing approach resulted in too broad of a scope of work and limited our flexibility to identify breast pathology procedures and results. Our NLP system was also limited by the lack of the gold standard data on rare findings and wide variation in pathology text. Focusing on individual, common elements and improving pathology text report standardization may improve performance.

Infrastructure monitoring with spaceborne SAR sensors

CERN Document Server

ANGHEL, ANDREI; CACOVEANU, REMUS

2017-01-01

This book presents a novel non-intrusive infrastructure monitoring technique based on the detection and tracking of scattering centers in spaceborne SAR images. The methodology essentially consists of refocusing each available SAR image on an imposed 3D point cloud associated to the envisaged infrastructure element and identifying the reliable scatterers to be monitored by means of four dimensional (4D) tomography. The methodology described in this book provides a new perspective on infrastructure monitoring with spaceborne SAR images, is based on a standalone processing chain, and brings innovative technical aspects relative to conventional approaches. The book is intended primarily for professionals and researchers working in the area of critical infrastructure monitoring by radar remote sensing.

Nuclear power infrastructure and planning

International Nuclear Information System (INIS)

2005-01-01

There are several stages in the process of introducing nuclear power in a country. These include feasibility studies; technology evaluation; request for proposals and proposal evaluation; project and contracts development and financing; supply, construction, and commissioning; and finally operation. The IAEA is developing guidance directed to provide criteria for assessing the minimum infrastructure necessary for: a) a host country to consider when engaging in the implementation of nuclear power, or b) a supplier country to consider when assessing that the recipient country would be in an acceptable condition to begin the implementation of nuclear power. There are Member States that may be denied the benefits of nuclear energy if the infrastructure requirements are too large or onerous for the national economy. However if co-operation could be achieved, the infrastructure burden could be shared and economic benefits gained by several countries acting jointly. The IAEA is developing guidance on the potential for sharing of nuclear power infrastructure among countries adopting or extending nuclear power programme

Infrastructures and Life-Cycle Cost-Benefit Analysis

DEFF Research Database (Denmark)

Thoft-Christensen, Palle

2012-01-01

Design and maintenance of infrastructures using Life-Cycle Cost-Benefit analysis is discussed in this paper with special emphasis on users costs. This is for several infrastructures such as bridges, highways etc. of great importance. Repair or/and failure of infrastructures will usually result...

Building and strengthening infrastructure for data exchange: lessons from the beacon communities.

Science.gov (United States)

Torres, Gretchen W; Swietek, Karen; Ubri, Petry S; Singer, Rachel F; Lowell, Kristina H; Miller, Wilhelmine

2014-01-01

The Beacon Community Cooperative Agreement Program supports interventions, including care-delivery innovations, provider performance measurement and feedback initiatives, and tools for providers and consumers to enhance care. Using a learning health system framework, we examine the Beacon Communities' processes in building and strengthening health IT (HIT) infrastructures, specifically successes and challenges in sharing patient information to improve clinical care. In 2010, the Office of the National Coordinator for Health Information Technology (ONC) launched the three-year program, which provided $250 million to 17 Beacon Communities to invest in HIT and health information exchange (HIE) infrastructure. Beacon Communities used this funding to develop and disseminate HIT-enabled quality improvement practices found effective in particular community and practice environments. NORC conducted 7 site visits, November 2012-March 2013, selecting Communities to represent diverse program features. From August-October 2013, NORC held discussions with the remaining 10 Communities. Following each visit or discussion, NORC summarized the information gathered, including transcripts, team observations, and other documents the Community provided, to facilitate a within-Community analysis of context and stakeholders, intervention strategies, enabling factors, and challenges. Although each Community designed and implemented data-sharing strategies in a unique environment, similar challenges and enabling factors emerged across the Beacons. From a learning health system perspective, their strategies to build and strengthen data-sharing infrastructures address the following crosscutting priorities: promoting technical advances and innovations by helping providers adapt EHRs for data exchange and performance measurement with customizable IT and offering technical support to smaller, independent providers; engaging key stakeholders; and fostering transparent governance and stewardship

Security audits of multi-tier virtual infrastructures in public infrastructure clouds

DEFF Research Database (Denmark)

Bleikertz, Sören; Schunter, Matthias; Probst, Christian W.

2010-01-01

Cloud computing has gained remarkable popularity in the recent years by a wide spectrum of consumers, ranging from small start-ups to governments. However, its benefits in terms of flexibility, scalability, and low upfront investments, are shadowed by security challenges which inhibit its adoption....... Managed through a web-services interface, users can configure highly flexible but complex cloud computing environments. Furthermore, users misconfiguring such cloud services poses a severe security risk that can lead to security incidents, e.g., erroneous exposure of services due to faulty network...... security configurations. In this article we present a novel approach in the security assessment of the end-user configuration of multi-tier architectures deployed on infrastructure clouds such as Amazon EC2. In order to perform this assessment for the currently deployed configuration, we automated...

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer

OpenAIRE

Zagoruyko, Sergey; Komodakis, Nikos

2016-01-01

Attention plays a critical role in human visual experience. Furthermore, it has recently been demonstrated that attention can also play an important role in the context of applying artificial neural networks to a variety of tasks from fields such as computer vision and NLP. In this work we show that, by properly defining attention for convolutional neural networks, we can actually use this type of information in order to significantly improve the performance of a student CNN network by forcin...

Prioritizing Infrastructure Investments in Panama : Pilot Application of the World Bank Infrastructure Prioritization Framework

OpenAIRE

Marcelo, Darwin; Mandri-Perrott, Cledan; House, Schuyler

2016-01-01

Infrastructure services are significant determinants of economic development, social welfare, trade, and public health. As such, they typically feature strongly in national development plans. While governments may receive many infrastructure project proposals, however, resources are often insufficient to finance the full set of proposals in the short term. Leading up to 2020, an estimated US$836 ...

HCP, grid and data infrastructures for astrophysics: an integrated view

International Nuclear Information System (INIS)

Pasian, F.

2009-01-01

Also in the case of astrophysics, the capability of performing Big Science requires the availability of large Hcp facilities. But computational resources alone are far from being enough for the community: as a matter of fact, the whole set of e-infrastructures (network, computing nodes, data repositories, applications) need to work in an inter operable way. This implies the development of common (or at least compatible) user interfaces to computing resources, transparent access to observations and numerical simulations through the Virtual Observatory, integrated data processing pipelines, data mining and semantic web applications. Achieving this inter operability goal is a must to build a real Knowledge Infrastructure in the astrophysical domain.

DASISH Reference Model for SSH Data Infrastructures

NARCIS (Netherlands)

Fihn, Johan; Gnadt, Timo; Hoogerwerf, M.L.; Jerlehag, Birger; Lenkiewicz, Przemek; Priddy, M.; Shepherdson, John

2016-01-01

The current ”rising tide of scientific data” accelerates the need for e-infrastructures to support the lifecycle of data in research, from creation to reuse [RTW]. Different types of e-infrastructures address this need. Consortia like GÉANT and EGI build technical infrastructures for networking and

Infrastructure and Agricultural Growth in Nigeria | Ighodaro ...

African Journals Online (AJOL)

The provision of infrastructure in Nigeria, particularly physical infrastructure is characterized by the predominance of public enterprises except for telecommunications sector in recent time. The empirical part of the study revealed different relative response rates of the different component of infrastructure used in the study to ...

Evaluation of Urban Drainage Infrastructure: New York City Case Study

Science.gov (United States)

Hamidi, A.; Grossberg, M.; Khanbilvardi, R.

2017-12-01

Flood response in an urban area is the product of interactions of spatially and temporally varying rainfall and infrastructures. In urban areas, however, the complex sub-surface networks of tunnels, waste and storm water drainage systems are often inaccessible, pose challenges for modeling and prediction of the drainage infrastructure performance. The increased availability of open data in cities is an emerging information asset for a better understanding of the dynamics of urban water drainage infrastructure. This includes crowd sourced data and community reporting. A well-known source of this type of data is the non-emergency hotline "311" which is available in many US cities, and may contain information pertaining to the performance of physical facilities, condition of the environment, or residents' experience, comfort and well-being. In this study, seven years of New York City 311 (NYC311) call during 2010-2016 is employed, as an alternative approach for identifying the areas of the city most prone to sewer back up flooding. These zones are compared with the hydrologic analysis of runoff flooding zones to provide a predictive model for the City. The proposed methodology is an example of urban system phenomenology using crowd sourced, open data. A novel algorithm for calculating the spatial distribution of flooding complaints across NYC's five boroughs is presented in this study. In this approach, the features that represent reporting bias are separated from those that relate to actual infrastructure system performance. The sewer backup results are assessed with the spatial distribution of runoff in NYC during 2010-2016. With advances in radar technologies, a high spatial-temporal resolution data set for precipitation is available for most of the United States that can be implemented in hydrologic analysis of dense urban environments. High resolution gridded Stage IV radar rainfall data along with the high resolution spatially distributed land cover data are

IFC and infrastructure - investing in power

International Nuclear Information System (INIS)

Chaudhry, Vijay

1992-01-01

Adequate infrastructure is essential to a country's growth. It provides a foundation which enables the economy to function. Until recently, most governments provided the physical infrastructure of industry: transport, communications, and power systems. Today, the trend is for governments to regulate monopolies while taking maximum advantage of private sector investment, decision-making and management. The private sector is increasingly being recognized as having the capacity to operate infrastructure projects more efficiently. (author)

Addressing Infrastructure Durability and Sustainability by Self Healing Mechanisms : Recent Advances in Self Healing Concrete and Asphalt

NARCIS (Netherlands)

Schlangen, H.E.J.G.; Sangadji, S.

2013-01-01

Infrastructures cover a very broad spectrum of different materials. This paper focuses on civil engineering structures, concrete and asphalt in particular. The public demand for such infrastructures is high level of service and performance, high durability and minimum negative ecological impact. New

Urban Green Infrastructure: German Experience

Directory of Open Access Journals (Sweden)

Diana Olegovna Dushkova

2016-06-01

Full Text Available The paper presents a concept of urban green infrastructure and analyzes the features of its implementation in the urban development programmes of German cities. We analyzed the most shared articles devoted to the urban green infrastructure to see different approaches to definition of this term. It is based on materials of field research in the cities of Berlin and Leipzig in 2014-2015, international and national scientific publications. During the process of preparing the paper, consultations have been held with experts from scientific institutions and Administrations of Berlin and Leipzig as well as local experts from environmental organizations of both cities. Using the German cities of Berlin and Leipzig as examples, this paper identifies how the concept can be implemented in the program of urban development. It presents the main elements of green city model, which include mitigation of negative anthropogenic impact on the environment under the framework of urban sustainable development. Essential part of it is a complex ecological policy as a major necessary tool for the implementation of the green urban infrastructure concept. This ecological policy should embody not only some ecological measurements, but also a greening of all urban infrastructure elements as well as implementation of sustainable living with a greater awareness of the resources, which are used in everyday life, and development of environmental thinking among urban citizens. Urban green infrastructure is a unity of four main components: green building, green transportation, eco-friendly waste management, green transport routes and ecological corridors. Experience in the development of urban green infrastructure in Germany can be useful to improve the environmental situation in Russian cities.

Commissioning the CERN IT Agile Infrastructure with experiment workloads

Science.gov (United States)

Medrano Llamas, Ramón; Harald Barreiro Megino, Fernando; Kucharczyk, Katarzyna; Kamil Denis, Marek; Cinquilli, Mattia

2014-06-01

In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. Its goal is to manage 15,000 Virtual Machines by means of an OpenStack middleware in order to unify all the resources in CERN's two datacenters: the one placed in Meyrin and the new on in Wigner, Hungary. During the commissioning of this infrastructure, CERN IT is offering an attractive amount of computing resources to the experiments (800 cores for ATLAS and CMS) through a private cloud interface. ATLAS and CMS have joined forces to exploit them by running stress tests and simulation workloads since November 2012. This work will describe the experience of the first deployments of the current experiment workloads on the CERN private cloud testbed. The paper is organized as follows: the first section will explain the integration of the experiment workload management systems (WMS) with the cloud resources. The second section will revisit the performance and stress testing performed with HammerCloud in order to evaluate and compare the suitability for the experiment workloads. The third section will go deeper into the dynamic provisioning techniques, such as the use of the cloud APIs directly by the WMS. The paper finishes with a review of the conclusions and the challenges ahead.

Commissioning the CERN IT Agile Infrastructure with experiment workloads

International Nuclear Information System (INIS)

Llamas, Ramón Medrano; Megino, Fernando Harald Barreiro; Cinquilli, Mattia; Kucharczyk, Katarzyna; Denis, Marek Kamil

2014-01-01

In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. Its goal is to manage 15,000 Virtual Machines by means of an OpenStack middleware in order to unify all the resources in CERN's two datacenters: the one placed in Meyrin and the new on in Wigner, Hungary. During the commissioning of this infrastructure, CERN IT is offering an attractive amount of computing resources to the experiments (800 cores for ATLAS and CMS) through a private cloud interface. ATLAS and CMS have joined forces to exploit them by running stress tests and simulation workloads since November 2012. This work will describe the experience of the first deployments of the current experiment workloads on the CERN private cloud testbed. The paper is organized as follows: the first section will explain the integration of the experiment workload management systems (WMS) with the cloud resources. The second section will revisit the performance and stress testing performed with HammerCloud in order to evaluate and compare the suitability for the experiment workloads. The third section will go deeper into the dynamic provisioning techniques, such as the use of the cloud APIs directly by the WMS. The paper finishes with a review of the conclusions and the challenges ahead.

PRACE - The European HPC Infrastructure

Science.gov (United States)

Stadelmeyer, Peter

2014-05-01

The mission of PRACE (Partnership for Advanced Computing in Europe) is to enable high impact scientific discovery and engineering research and development across all disciplines to enhance European competitiveness for the benefit of society. PRACE seeks to realize this mission by offering world class computing and data management resources and services through a peer review process. This talk gives a general overview about PRACE and the PRACE research infrastructure (RI). PRACE is established as an international not-for-profit association and the PRACE RI is a pan-European supercomputing infrastructure which offers access to computing and data management resources at partner sites distributed throughout Europe. Besides a short summary about the organization, history, and activities of PRACE, it is explained how scientists and researchers from academia and industry from around the world can access PRACE systems and which education and training activities are offered by PRACE. The overview also contains a selection of PRACE contributions to societal challenges and ongoing activities. Examples of the latter are beside others petascaling, application benchmark suite, best practice guides for efficient use of key architectures, application enabling / scaling, new programming models, and industrial applications. The Partnership for Advanced Computing in Europe (PRACE) is an international non-profit association with its seat in Brussels. The PRACE Research Infrastructure provides a persistent world-class high performance computing service for scientists and researchers from academia and industry in Europe. The computer systems and their operations accessible through PRACE are provided by 4 PRACE members (BSC representing Spain, CINECA representing Italy, GCS representing Germany and GENCI representing France). The Implementation Phase of PRACE receives funding from the EU's Seventh Framework Programme (FP7/2007-2013) under grant agreements RI-261557, RI-283493 and RI

COOPEUS - connecting research infrastructures in environmental sciences

Science.gov (United States)

Koop-Jakobsen, Ketil; Waldmann, Christoph; Huber, Robert

2015-04-01

The COOPEUS project was initiated in 2012 bringing together 10 research infrastructures (RIs) in environmental sciences from the EU and US in order to improve the discovery, access, and use of environmental information and data across scientific disciplines and across geographical borders. The COOPEUS mission is to facilitate readily accessible research infrastructure data to advance our understanding of Earth systems through an international community-driven effort, by: Bringing together both user communities and top-down directives to address evolving societal and scientific needs; Removing technical, scientific, cultural and geopolitical barriers for data use; and Coordinating the flow, integrity and preservation of information. A survey of data availability was conducted among the COOPEUS research infrastructures for the purpose of discovering impediments for open international and cross-disciplinary sharing of environmental data. The survey showed that the majority of data offered by the COOPEUS research infrastructures is available via the internet (>90%), but the accessibility to these data differ significantly among research infrastructures; only 45% offer open access on their data, whereas the remaining infrastructures offer restricted access e.g. do not release raw data or sensible data, demand user registration or require permission prior to release of data. These rules and regulations are often installed as a form of standard practice, whereas formal data policies are lacking in 40% of the infrastructures, primarily in the EU. In order to improve this situation COOPEUS has installed a common data-sharing policy, which is agreed upon by all the COOPEUS research infrastructures. To investigate the existing opportunities for improving interoperability among environmental research infrastructures, COOPEUS explored the opportunities with the GEOSS common infrastructure (GCI) by holding a hands-on workshop. Through exercises directly registering resources

Data Updating Methods for Spatial Data Infrastructure that Maintain Infrastructure Quality and Enable its Sustainable Operation

Science.gov (United States)

Murakami, S.; Takemoto, T.; Ito, Y.

2012-07-01

The Japanese government, local governments and businesses are working closely together to establish spatial data infrastructures in accordance with the Basic Act on the Advancement of Utilizing Geospatial Information (NSDI Act established in August 2007). Spatial data infrastructures are urgently required not only to accelerate computerization of the public administration, but also to help restoration and reconstruction of the areas struck by the East Japan Great Earthquake and future disaster prevention and reduction. For construction of a spatial data infrastructure, various guidelines have been formulated. But after an infrastructure is constructed, there is a problem of maintaining it. In one case, an organization updates its spatial data only once every several years because of budget problems. Departments and sections update the data on their own without careful consideration. That upsets the quality control of the entire data system and the system loses integrity, which is crucial to a spatial data infrastructure. To ensure quality, ideally, it is desirable to update data of the entire area every year. But, that is virtually impossible, considering the recent budget crunch. The method we suggest is to update spatial data items of higher importance only in order to maintain quality, not updating all the items across the board. We have explored a method of partially updating the data of these two geographical features while ensuring the accuracy of locations. Using this method, data on roads and buildings that greatly change with time can be updated almost in real time or at least within a year. The method will help increase the availability of a spatial data infrastructure. We have conducted an experiment on the spatial data infrastructure of a municipality using those data. As a result, we have found that it is possible to update data of both features almost in real time.

Infrastructure Commons in Economic Perspective

Science.gov (United States)

Frischmann, Brett M.

This chapter briefly summarizes a theory (developed in substantial detail elsewhere)1 that explains why there are strong economic arguments for managing and sustaining infrastructure resources in an openly accessible manner. This theory facilitates a better understanding of two related issues: how society benefits from infrastructure resources and how decisions about how to manage or govern infrastructure resources affect a wide variety of public and private interests. The key insights from this analysis are that infrastructure resources generate value as inputs into a wide range of productive processes and that the outputs from these processes are often public goods and nonmarket goods that generate positive externalities that benefit society as a whole. Managing such resources in an openly accessible manner may be socially desirable from an economic perspective because doing so facilitates these downstream productive activities. For example, managing the Internet infrastructure in an openly accessible manner facilitates active citizen involvement in the production and sharing of many different public and nonmarket goods. Over the last decade, this has led to increased opportunities for a wide range of citizens to engage in entrepreneurship, political discourse, social network formation, and community building, among many other activities. The chapter applies these insights to the network neutrality debate and suggests how the debate might be reframed to better account for the wide range of private and public interests at stake.

Planning virtual infrastructures for time critical applications with multiple deadline constraints

NARCIS (Netherlands)

Wang, J.; Taal, A.; Martin, P.; Hu, Y.; Zhou, H.; Pang, J.; de Laat, C.; Zhao, Z.

2017-01-01

Executing time critical applications within cloud environments while satisfying execution deadlines and response time requirements is challenging due to the difficulty of securing guaranteed performance from the underlying virtual infrastructure. Cost-effective solutions for hosting such

The social impact of natural language processing

DEFF Research Database (Denmark)

Hovy, Dirk; Spruit, Shannon

Research in natural language processing (NLP) used to be mostly performed on anonymous corpora, with the goal of enriching linguistic analysis. Authors were either largely unknown or public figures. As we increasingly use more data from social media, this situation has changed: users are now...... individually identifiable, and the outcome of NLP experiments and applications can have a direct effect on their lives. This change should spawn a debate about the ethical implications of NLP, but until now, the internal discourse in the field has not followed the technological development. This position paper...

Semi-supervised learning and domain adaptation in natural language processing

CERN Document Server

Søgaard, Anders

2013-01-01

This book introduces basic supervised learning algorithms applicable to natural language processing (NLP) and shows how the performance of these algorithms can often be improved by exploiting the marginal distribution of large amounts of unlabeled data. One reason for that is data sparsity, i.e., the limited amounts of data we have available in NLP. However, in most real-world NLP applications our labeled data is also heavily biased. This book introduces extensions of supervised learning algorithms to cope with data sparsity and different kinds of sampling bias.This book is intended to be both

Infrastructure development for ASEAN economic integration

OpenAIRE

Bhattacharyay, Biswa Nath

2009-01-01

With a population of 600 million, ASEAN is considered to be one of the most diverse regions in the world. It is also one of the world's fastest growing regions. ASEAN's aim is to evolve into an integrated economic community by 2015. Crucial to achieving this ambitious target is cooperation in infrastructure development for physical connectivity, particularly in cross-border infrastructure. This paper provides an overview of the quantity and quality of existing infrastructure in ASEAN member c...

Critical Infrastructure Protection: Maintenance is National Security

Directory of Open Access Journals (Sweden)

Kris Hemme

2015-10-01

Full Text Available U.S. critical infrastructure protection (CIP necessitates both the provision of security from internal and external threats and the repair of physically damaged critical infrastructure which may disrupt services. For years, the U.S. infrastructure has been deteriorating, triggering enough damage and loss of life to give cause for major concern. CIP is typically only addressed after a major disaster or catastrophe due to the extreme scrutiny that follows these events. In fact, CIP has been addressed repeatedly since Presidential Decision Directive Sixty-Three (PDD Sixty-Three signed by President Bill Clinton on May Twenty-Second, 1998.[1] This directive highlighted critical infrastructure as “a growing potential vulnerability” and recognized that the United States has to view the U.S. national infrastructure from a security perspective due to its importance to national and economic security. CIP must be addressed in a preventive, rather than reactive, manner.[2] As such, there are sixteen critical infrastructure sectors, each with its own protection plan and unique natural and man-made threats, deteriorations, and risks. A disaster or attack on any one of these critical infrastructures could cause serious damage to national security and possibly lead to the collapse of the entire infrastructure. [1] The White House, Presidential Decision Directive/NSC–63 (Washington D.C.: The White House, May 22, 1998: 1–18, available at: http://www.epa.gov/watersecurity/tools/trainingcd/Guidance/pdd-63.pdf. [2] Ibid, 1.

A Framework for Discussing e-Research Infrastructure Sustainability

Directory of Open Access Journals (Sweden)

Daniel S Katz

2014-07-01

Full Text Available e-Research infrastructure is increasingly important in the conduct of science and engineering research, and in many disciplines has become an essential part of the research infrastructure. However, this e-Research infrastructure does not appear from a vacuum; it needs both intent and effort first to be created and then to be sustained over time. Research cultures and practices in many disciplines have not adapted to this new paradigm, due in part to the absence of a deep understanding of the elements of e-Research infrastructure and the characteristics that influence their sustainability. This paper outlines a set of contexts in which e-Research infrastructure can be discussed, proposes characteristics that must be considered to sustain infrastructure elements, and highlights models that may be used to create and sustain e-Research infrastructure. We invite feedback on the proposed characteristics and models presented herein.

Computational Infrastructure for Nuclear Astrophysics

International Nuclear Information System (INIS)

Smith, Michael S.; Hix, W. Raphael; Bardayan, Daniel W.; Blackmon, Jeffery C.; Lingerfelt, Eric J.; Scott, Jason P.; Nesaraja, Caroline D.; Chae, Kyungyuk; Guidry, Michael W.; Koura, Hiroyuki; Meyer, Richard A.

2006-01-01

A Computational Infrastructure for Nuclear Astrophysics has been developed to streamline the inclusion of the latest nuclear physics data in astrophysics simulations. The infrastructure consists of a platform-independent suite of computer codes that is freely available online at nucastrodata.org. Features of, and future plans for, this software suite are given

Cyberwarfare on the Electricity Infrastructure

Energy Technology Data Exchange (ETDEWEB)

Murarka, N.; Ramesh, V.C.

2000-03-20

The report analyzes the possibility of cyberwarfare on the electricity infrastructure. The ongoing deregulation of the electricity industry makes the power grid all the more vulnerable to cyber attacks. The report models the power system information system components, models potential threats and protective measures. It therefore offers a framework for infrastructure protection.

USE OF PUBLIC-PRIVATE PARTNERSHIP FOR DEVELOPMENT OF INFRASTRUCTURE

Directory of Open Access Journals (Sweden)

Igor Viktorovich Linev

2016-01-01

Full Text Available Need of research and introduction of innovative mechanisms of growth of economy of Russia in the conditions of the accruing crisis tendencies and external restrictions causes relevance of consideration of close interaction and mutually providing production and social infrastructures of the economic development forming additional eff ects in all variety of branches of industrial complex. Formation becomes the initiating factor of such interaction in modern conditions and eff ective use of domestic enterprise potential a necessary condition of which is state – private partnership (PPP. In this regard it is necessary to consider problems and problems of formation of conditions, forms and methods of use of PPP, for development of infrastructure as necessary complex of BasicElements of formation of advanced socially oriented market economy. As an object of research in article the organizational and economic relations assuming eff ective partnership of the government and private institutions for formation of complete and highly eff ective system of the production and social infrastructure causing an intensifi cation of synergetic and multiplicative eff ects of development of a civilized society are considered. Purposes/tasks. The main objective of a statement of materials in this article consists in theoretical justifi cation of basic provisions of realization of PPP in system of production and social infrastructure. The task to prove need of application of PPP for strengthening of multiplicative eff ect at development of this system is set. Methodology. In the methodological plan this work represents the state-of-the-art review of the social and economic processes happening in system of social and production infrastructure. When writing article the complex of general scientifi c methods of research including generalization, economical and statistical, system and analytical cluster and others was applied Results. As a result of performance of this

LCG/AA build infrastructure

International Nuclear Information System (INIS)

Hodgkins, Alex Liam; Diez, Victor; Hegner, Benedikt

2012-01-01

The Software Process and Infrastructure (SPI) project provides a build infrastructure for regular integration testing and release of the LCG Applications Area software stack. In the past, regular builds have been provided using a system which has been constantly growing to include more features like server-client communication, long-term build history and a summary web interface using present-day web technologies. However, the ad-hoc style of software development resulted in a setup that is hard to monitor, inflexible and difficult to expand. The new version of the infrastructure is based on the Django Python framework, which allows for a structured and modular design, facilitating later additions. Transparency in the workflows and ease of monitoring has been one of the priorities in the design. Formerly missing functionality like on-demand builds or release triggering will support the transition to a more agile development process.

Internationalization of infrastructure companies

Directory of Open Access Journals (Sweden)

Frederico Araujo Turolla

2009-03-01

Full Text Available The decision of infrastructure firms to go international is not a simple one. Differently from firms from most of the sectors, investment requires large amounts of capital, there are significant transaction costs and also involves issues that are specific to the destiny country. In spite of the risks, several infrastructure groups have been investing abroad and have widened the foreign part in the share of the receipts. The study herein proposed is a refinement of the established theory of international business, with support from the industrial organization theory, namely on infrastructure economics. The methodology is theoretical empirical since it starts from two existing theories. Hypotheses relate the degree of internationalization (GI to a set of determinants of internationalization. As of conclusions, with the exception of the economies of density and scale, which did not show as relevant, all other variables behaved as expected.

A sociotechnical framework for understanding infrastructure breakdown and repair

Energy Technology Data Exchange (ETDEWEB)

Sims, Benjamin H [Los Alamos National Laboratory

2009-01-01

This paper looks at how and why infrastructure is repaired. With a new era of infrastructure spending underway, policymakers need to understand and anticipate the particular technical and political challenges posed by infrastructure repair. In particular, as infrastructure problems are increasingly in the public eye with current economic stimulus efforts, the question has increasingly been asked: why has it been so difficult for the United Statesto devote sustained resources to maintaining and upgrading its national infrastructure? This paper provides a sociotechnical framework for understanding the challenges of infrastructure repair, and demonstrates this framework using a case study of seismic retrofit of freeway bridges in California. The design of infrastructure is quite different from other types of design work even when new infrastructure is being designed. Infrastructure projects are almost always situated within, and must work with, existing infrastructure networks. As a result, compared to design of more discrete technological artifacts, the design of infrastructure systems requires a great deal of attention to interfaces as well as adaptation of design to the constraints imposed by existing systems. Also, because of their scale, infrastructural technologies engage with social life at a level where explicit political agendas may playa central role in the design process. The design and building of infrastructure is therefore often an enormously complex feat of sociotechnical engineering, in which technical and political agendas are negotiated together until an outcome is reached that allows the project to move forward. These sociotechnical settlements often result in a complex balancing of powerful interests around infrastructural artifacts; at the same time, less powerful interests have historically often been excluded or marginalized from such settlements.

Designing a graph-based approach to landscape ecological assessment of linear infrastructures

Energy Technology Data Exchange (ETDEWEB)

Girardet, Xavier, E-mail: xavier.girardet@univ-fcomte.fr; Foltête, Jean-Christophe, E-mail: jean-christophe.foltete@univ-fcomte.fr; Clauzel, Céline, E-mail: celine.clauzel@univ-fcomte.fr

2013-09-15

The development of major linear infrastructures contributes to landscape fragmentation and impacts natural habitats and biodiversity in various ways. To anticipate and minimize such impacts, landscape planning needs to be capable of effective strategic environmental assessment (SEA) and of supporting environmental impact assessment (EIA) decisions. To this end, species distribution models (SDMs) are an effective way of making predictive maps of the presence of a given species. In this paper, we propose to combine SDMs and graph-based representation of landscape networks to integrate the potential long-distance effect of infrastructures on species distribution. A diachronic approach, comparing distribution before and after the linear infrastructure is constructed, leads to the design of a species distribution assessment (SDA), taking into account population isolation. The SDA makes it possible (1) to estimate the local variation in probability of presence and (2) to characterize the impact of the infrastructure in terms of global variation in presence and of distance of disturbance. The method is illustrated by assessing the impact of the construction of a high-speed railway line on the distribution of several virtual species in Franche-Comté (France). The study shows the capacity of the SDA to characterize the impact of a linear infrastructure either as a research concern or as a spatial planning challenge. SDAs could be helpful in deciding among several scenarios for linear infrastructure routes or for the location of mitigation measures. -- Highlights: • Graph connectivity metrics were integrated into a species distribution model. • SDM was performed before and after the implementation of linear infrastructure. • The local variation of presence provides spatial indicators of the impact.

Designing a graph-based approach to landscape ecological assessment of linear infrastructures

International Nuclear Information System (INIS)

Girardet, Xavier; Foltête, Jean-Christophe; Clauzel, Céline

2013-01-01

The development of major linear infrastructures contributes to landscape fragmentation and impacts natural habitats and biodiversity in various ways. To anticipate and minimize such impacts, landscape planning needs to be capable of effective strategic environmental assessment (SEA) and of supporting environmental impact assessment (EIA) decisions. To this end, species distribution models (SDMs) are an effective way of making predictive maps of the presence of a given species. In this paper, we propose to combine SDMs and graph-based representation of landscape networks to integrate the potential long-distance effect of infrastructures on species distribution. A diachronic approach, comparing distribution before and after the linear infrastructure is constructed, leads to the design of a species distribution assessment (SDA), taking into account population isolation. The SDA makes it possible (1) to estimate the local variation in probability of presence and (2) to characterize the impact of the infrastructure in terms of global variation in presence and of distance of disturbance. The method is illustrated by assessing the impact of the construction of a high-speed railway line on the distribution of several virtual species in Franche-Comté (France). The study shows the capacity of the SDA to characterize the impact of a linear infrastructure either as a research concern or as a spatial planning challenge. SDAs could be helpful in deciding among several scenarios for linear infrastructure routes or for the location of mitigation measures. -- Highlights: • Graph connectivity metrics were integrated into a species distribution model. • SDM was performed before and after the implementation of linear infrastructure. • The local variation of presence provides spatial indicators of the impact

Evaluation of the performance of Moses statistical engine adapted to ...

African Journals Online (AJOL)

... of Moses statistical engine adapted to English-Arabic language combination. ... of Artificial Intelligence (AI) dedicated to Natural Language Processing (NLP). ... and focuses on SMT, then introducing the features of the open source Moses ...

The Anatomy of Digital Trade Infrastructures

DEFF Research Database (Denmark)

Rukanova, Boriana; Zinner Henriksen, Helle; Henningsson, Stefan

2017-01-01

In global supply chains information about transactions resides in fragmented pockets within business and government systems. The introduction of digital trade infrastructures (DTI) that transcend organizational and systems domains is driven by the prospect of reducing this information fragmentation......, thereby enabling improved security and efficiency in trade process. To understand the problem at hand and build cumulative knowledge about its resolution a way to conceptualize the different digital trade infrastructure initiatives is needed. This paper develops the Digital Trade Infrastructure Framework...

Global Land Transport Infrastructure Requirements

Energy Technology Data Exchange (ETDEWEB)

NONE

2013-06-01

Over the next four decades, global passenger and freight travel is expected to double over 2010 levels. In order to accommodate this growth, it is expected that the world will need to add nearly 25 million paved road lane-kilometres and 335 000 rail track kilometres. In addition, it is expected that between 45 000 square kilometres and 77 000 square kilometres of new parking spaces will be added to accommodate vehicle stock growth. These land transport infrastructure additions, when combined with operations, maintenance and repairs, are expected to cost as much as USD 45 trillion by 2050. This publication reports on the International Energy Agency’s (IEA) analysis of infrastructure requirements to support projected road and rail travel through 2050, using the IEA Mobility Model. It considers land transport infrastructure additions to support travel growth to 2050. It also considers potential savings if countries pursue “avoid and shift” policies: in this scenario, cumulative global land transport infrastructure spending could decrease as much as USD 20 trillion by 2050 over baseline projections.

Web 2.0-based crowdsourcing for high-quality gold standard development in clinical natural language processing.

Science.gov (United States)

Zhai, Haijun; Lingren, Todd; Deleger, Louise; Li, Qi; Kaiser, Megan; Stoutenborough, Laura; Solti, Imre

2013-04-02

A high-quality gold standard is vital for supervised, machine learning-based, clinical natural language processing (NLP) systems. In clinical NLP projects, expert annotators traditionally create the gold standard. However, traditional annotation is expensive and time-consuming. To reduce the cost of annotation, general NLP projects have turned to crowdsourcing based on Web 2.0 technology, which involves submitting smaller subtasks to a coordinated marketplace of workers on the Internet. Many studies have been conducted in the area of crowdsourcing, but only a few have focused on tasks in the general NLP field and only a handful in the biomedical domain, usually based upon very small pilot sample sizes. In addition, the quality of the crowdsourced biomedical NLP corpora were never exceptional when compared to traditionally-developed gold standards. The previously reported results on medical named entity annotation task showed a 0.68 F-measure based agreement between crowdsourced and traditionally-developed corpora. Building upon previous work from the general crowdsourcing research, this study investigated the usability of crowdsourcing in the clinical NLP domain with special emphasis on achieving high agreement between crowdsourced and traditionally-developed corpora. To build the gold standard for evaluating the crowdsourcing workers' performance, 1042 clinical trial announcements (CTAs) from the ClinicalTrials.gov website were randomly selected and double annotated for medication names, medication types, and linked attributes. For the experiments, we used CrowdFlower, an Amazon Mechanical Turk-based crowdsourcing platform. We calculated sensitivity, precision, and F-measure to evaluate the quality of the crowd's work and tested the statistical significance (Pcrowdsourced and traditionally-developed annotations. The agreement between the crowd's annotations and the traditionally-generated corpora was high for: (1) annotations (0.87, F-measure for medication names

International conference on national infrastructures for radiation safety: Towards effective and sustainable systems. Contributed papers

Energy Technology Data Exchange (ETDEWEB)

NONE

2003-07-01

The International Atomic Energy Agency (IAEA), in co-operation with the World Health Organization (WHO), the International Labour Office (ILO), the European Commission (EC), and the OECD Nuclear Energy Agency (NEA), organized the International Conference on National Infrastructures for Radiation Safety: Towards Effective and Sustainable Systems. This book contains contributed papers submitted on pertinent issues, including stakeholder involvement, IAEA Model Projects on Upgrading Radiation Protection Infrastructure, Quality Assurance, education and training, regulatory activities, performance evaluation, source security, and emergency preparedness. The material in this book has not been edited by the IAEA. These contributed papers will be published on a CD ROM as part of the Proceedings of the Conference, along with the invited papers and discussions. The papers are grouped by topical sessions: Stakeholder Involvement in Building and Maintaining National Radiation Safety Infrastructure (National and International); Implementation Experience with The Model Projects (Views From The Countries, Positive and Negative Experiences); Resources and Services (Systematic Approach), Quality Assurance, International Support Of Services; Sustainable Education And Training: Developing Skills (National Systems And Regional Solutions); Needs for Education And Training at The International Level (Including IAEA Programmes Assisting in Establishing Adequate Infrastructures); Authorization, Inspection and Enforcement (Effectiveness and Efficiency Of The Activities Of The Regulatory Bodies), Independence of Regulatory Authorities; Performance Evaluation; Source Security and Emergency Preparedness (Infrastructure Requirements at the International, National And User's Level)

International conference on national infrastructures for radiation safety: Towards effective and sustainable systems. Contributed papers

International Nuclear Information System (INIS)

2003-01-01

The International Atomic Energy Agency (IAEA), in co-operation with the World Health Organization (WHO), the International Labour Office (ILO), the European Commission (EC), and the OECD Nuclear Energy Agency (NEA), organized the International Conference on National Infrastructures for Radiation Safety: Towards Effective and Sustainable Systems. This book contains contributed papers submitted on pertinent issues, including stakeholder involvement, IAEA Model Projects on Upgrading Radiation Protection Infrastructure, Quality Assurance, education and training, regulatory activities, performance evaluation, source security, and emergency preparedness. The material in this book has not been edited by the IAEA. These contributed papers will be published on a CD ROM as part of the Proceedings of the Conference, along with the invited papers and discussions. The papers are grouped by topical sessions: Stakeholder Involvement in Building and Maintaining National Radiation Safety Infrastructure (National and International); Implementation Experience with The Model Projects (Views From The Countries, Positive and Negative Experiences); Resources and Services (Systematic Approach), Quality Assurance, International Support Of Services; Sustainable Education And Training: Developing Skills (National Systems And Regional Solutions); Needs for Education And Training at The International Level (Including IAEA Programmes Assisting in Establishing Adequate Infrastructures); Authorization, Inspection and Enforcement (Effectiveness and Efficiency Of The Activities Of The Regulatory Bodies), Independence of Regulatory Authorities; Performance Evaluation; Source Security and Emergency Preparedness (Infrastructure Requirements at the International, National And User's Level)

The Creation and Development of Innovative Infrastructure in the Danube Countries

Directory of Open Access Journals (Sweden)

Liudmila Rosca-Sadurschi

2014-08-01

Full Text Available Entrepreneurship development is supported by a developed infrastructure or innovative infrastructure. The purpose of the business infrastructure is to create favorable conditions for its development by providing support in various areas, complete and targeted to businesses. Training system infrastructure provides creation and development of innovation infrastructure objects. Thus, this article will conduct a comparative analysis of the elements of innovation infrastructure and how their development in different countries. Innovation infrastructure elements analyzed are: information infrastructure refers to access to information; Financial infrastructure refers to financial resources; infrastructure, staff training (qualified staff; material and technical infrastructure; infrastructure consulting (expert consultation; marketing infrastructure.

Preparation of CAD infrastructure for ITER procurement packages allocated to Korea

International Nuclear Information System (INIS)

Kim, G.H.; Hwang, H.S.; Choi, J.H.; Lee, H.G.; Thomas, E.; Redon, F.; Wilhelm, B.

2013-01-01

Highlights: ► It is necessary to use the same CAD platform between project partners for efficient design collaboration. ► Several unexpected problems were found during preparation of the CAD infrastructure. ► The problems have resulted in a waste of time and cost. ► The approach using the same configurations is effective to avoid IT-related problems. ► The design activities are steadily being performed on the prepared ITER CAD platform. -- Abstract: It is necessary to use the same CAD platform for standardization and efficient design collaboration between project partners. ITER has selected CATIA with ENOVIA as the primary CAD and integration tool. During the preparation of the CAD infrastructure, there were several difficulties with respect to information technology (IT). ITER design is classified as mechanical and plant. The procurement arrangement is divided into three types; functional specification, detailed design, and build to print. Therefore, it is important to prepare the suitable prerequisites according to the design type, and to comply with CAD methodologies to avoid trial and error. This paper presents how to overcome the difficulties and how to perform the CAD activities for ITER Korea procurement packages including important matters on a CAD infrastructure in a big project

The costs of avoiding environmental impacts from shale-gas surface infrastructure.

Science.gov (United States)

Milt, Austin W; Gagnolet, Tamara D; Armsworth, Paul R

2016-12-01

Growing energy demand has increased the need to manage conflicts between energy production and the environment. As an example, shale-gas extraction requires substantial surface infrastructure, which fragments habitats, erodes soils, degrades freshwater systems, and displaces rare species. Strategic planning of shale-gas infrastructure can reduce trade-offs between economic and environmental objectives, but the specific nature of these trade-offs is not known. We estimated the cost of avoiding impacts from land-use change on forests, wetlands, rare species, and streams from shale-energy development within leaseholds. We created software for optimally siting shale-gas surface infrastructure to minimize its environmental impacts at reasonable construction cost. We visually assessed sites before infrastructure optimization to test whether such inspection could be used to predict whether impacts could be avoided at the site. On average, up to 38% of aggregate environmental impacts of infrastructure could be avoided for 20% greater development costs by spatially optimizing infrastructure. However, we found trade-offs between environmental impacts and costs among sites. In visual inspections, we often distinguished between sites that could be developed to avoid impacts at relatively low cost (29%) and those that could not (20%). Reductions in a metric of aggregate environmental impact could be largely attributed to potential displacement of rare species, sedimentation, and forest fragmentation. Planners and regulators can estimate and use heterogeneous trade-offs among development sites to create industry-wide improvements in environmental performance and do so at reasonable costs by, for example, leveraging low-cost avoidance of impacts at some sites to offset others. This could require substantial effort, but the results and software we provide can facilitate the process. © 2016 Society for Conservation Biology.

Real estate added value and decision-making in hospital infrastructure

NARCIS (Netherlands)

Van der Zwart, J.

2011-01-01

This paper explores the concept of adding value to corporate performance by real estate, and how this concept could be applied in decision-making processes for new hospital infrastructure. A literature review forms the starting point for interviews carried out with hospitals‘ CEOs on how real estate

The TENCompetence Infrastructure: A Learning Network Implementation

Science.gov (United States)

Vogten, Hubert; Martens, Harrie; Lemmers, Ruud

The TENCompetence project developed a first release of a Learning Network infrastructure to support individuals, groups and organisations in professional competence development. This infrastructure Learning Network infrastructure was released as open source to the community thereby allowing users and organisations to use and contribute to this development as they see fit. The infrastructure consists of client applications providing the user experience and server components that provide the services to these clients. These services implement the domain model (Koper 2006) by provisioning the entities of the domain model (see also Sect. 18.4) and henceforth will be referenced as domain entity services.

The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

Science.gov (United States)

Gálvez, Jorge A; Pappas, Janine M; Ahumada, Luis; Martin, John N; Simpao, Allan F; Rehman, Mohamed A; Witmer, Char

2017-10-01

Venous thromboembolism (VTE) is a potentially life-threatening condition that includes both deep vein thrombosis (DVT) and pulmonary embolism. We sought to improve detection and reporting of children with a new diagnosis of VTE by applying natural language processing (NLP) tools to radiologists' reports. We validated an NLP tool, Reveal NLP (Health Fidelity Inc, San Mateo, CA) and inference rules engine's performance in identifying reports with deep venous thrombosis using a curated set of ultrasound reports. We then configured the NLP tool to scan all available radiology reports on a daily basis for studies that met criteria for VTE between July 1, 2015, and March 31, 2016. The NLP tool and inference rules engine correctly identified 140 out of 144 reports with positive DVT findings and 98 out of 106 negative reports in the validation set. The tool's sensitivity was 97.2% (95% CI 93-99.2%), specificity was 92.5% (95% CI 85.7-96.7%). Subsequently, the NLP tool and inference rules engine processed 6373 radiology reports from 3371 hospital encounters. The NLP tool and inference rules engine identified 178 positive reports and 3193 negative reports with a sensitivity of 82.9% (95% CI 74.8-89.2) and specificity of 97.5% (95% CI 96.9-98). The system functions well as a safety net to screen patients for HA-VTE on a daily basis and offers value as an automated, redundant system. To our knowledge, this is the first pediatric study to apply NLP technology in a prospective manner for HA-VTE identification.

MONITORING MECHANISM FOR INVESTMENT DEVELOPMENT OF REGIONS’ INFRASTRUCTURE

Directory of Open Access Journals (Sweden)

Halyna Leshuk

2017-09-01

Full Text Available The subject of the research is the theoretical and methodological principles of the monitoring mechanism of investment development of regions’ infrastructure. The objectives of the research are the generalization of theoretical and methodological bases of monitoring mechanism of investment development of regions’ infrastructure, as well as analysis of the current trends of investment development of the infrastructure in the regions of Ukraine with the identification of positive and negative trends. Methodology. The article deals with theoretical and methodological approaches to the definition of conceptual foundations of the mechanism of monitoring the investment development of the regions’ infrastructure with the help of general scientific methods of analysis: systematization and generalization, induction, and deduction. Results. It is proposed to interpret a monitor of the investment development of the regional infrastructure (IDRI as a systematic and complex measurement of the indicators of regional infrastructure development, the number of implemented investment projects, monitoring compliance with the developed strategic regional programs and concepts, which will ultimately help to effectively and efficiently regulate the detected deviations and passing the appropriate decisions. The IDRI monitoring mechanism should also provide a possibility of creating a system for collecting and analysing data concerning the assessment of infrastructure objects by the territorial community, which will allow potential investors to focus not only on analytical data on monitoring of regional authorities but also to take into account the public interest in a particular region. The general principles of the monitoring mechanism of investment development of the regions infrastructure are proposed in the following directions: complex and system monitoring and data collection concerning the development of the regions’ infrastructure, while the aggregate

Information infrastructure(s) boundaries, ecologies, multiplicity

CERN Document Server

Mongili, Alessandro

2014-01-01

This book marks an important contribution to the fascinating debate on the role that information infrastructures and boundary objects play in contemporary life, bringing to the fore the concern of how cooperation across different groups is enabled, but also constrained, by the material and immaterial objects connecting them. As such, the book itself is situated at the crossroads of various paths and genealogies, all focusing on the problem of the intersection between different levels of scale...

Narrating national geo information infrastructures : Balancing infrastructures and innovation

NARCIS (Netherlands)

Koerten, H.; Veenswijk, M.

2009-01-01

This paper examines narratives relating to the development of National Geo Information Infrastructures (NGII) in eth-nographic research on a Dutch NGII project which was monitored throughout its course. We used an approach which focuses on narratives concerning the environment, groups and practice

Commercial Consolidation Model Applied to Transport Infrastructure

Energy Technology Data Exchange (ETDEWEB)

Guilherme de Aragão, J.J.; Santos Fontes Pereira, L. dos; Yamashita, Y.

2016-07-01

Since the 1990s, transport concessions, including public-private partnerships (PPPs), have been increasingly adopted by governments as an alternative for financing and operations in public investments, especially in transport infrastructure. The advantage pointed out by proponents of these models lies in merging the expertise and capital of the private sector to the public interest. Several arrangements are possible and have been employed in different cases. After the duration of the first PPP contracts in transportation, many authors have analyzed the success and failure factors of partnerships. The occurrence of failures in some stages of the process can greatly encumber the public administration, incurring losses to the fiscal responsibility of the competent bodies. This article aims to propose a new commercial consolidation model applied to transport infrastructure to ensure fiscal sustainability and overcome the weaknesses of current models. Initially, a systematic review of the literature covering studies on transport concessions between 1990 and 2015 is offered, where the different approaches between various countries are compared and the critical success factors indicated in the studies are identified. In the subsequent part of the paper, an approach for the commercial consolidation of the infrastructure concessions is presented, where the concessionary is paid following a finalistic performance model, which includes the overall fiscal balance of regional growth. Finally, the papers analyses the usefulness of the model in coping with the critical success factors explained before. (Author)

User needs and home automation infrastructures in industrialized and developing countries

NARCIS (Netherlands)

Brink, M.; Bronswijk, van J.E.M.H.

2010-01-01

Purpose Home automation systems are meant to improve the performance of a dwelling. Middleware, the ICT infrastructure of a home automation system, connects the different applications (lighting, heating, smoke sensing, etc) by providing the network and defining the technologies used for

Integrating sea floor observatory data: the EMSO data infrastructure

Science.gov (United States)

Huber, Robert; Azzarone, Adriano; Carval, Thierry; Doumaz, Fawzi; Giovanetti, Gabriele; Marinaro, Giuditta; Rolin, Jean-Francois; Beranzoli, Laura; Waldmann, Christoph

2013-04-01

The European research infrastructure EMSO is a European network of fixed-point, deep-seafloor and water column observatories deployed in key sites of the European Continental margin and Arctic. It aims to provide the technological and scientific framework for the investigation of the environmental processes related to the interaction between the geosphere, biosphere, and hydrosphere and for a sustainable management by long-term monitoring also with real-time data transmission. Since 2006, EMSO is on the ESFRI (European Strategy Forum on Research Infrastructures) roadmap and has entered its construction phase in 2012. Within this framework, EMSO is contributing to large infrastructure integration projects such as ENVRI and COOPEUS. The EMSO infrastructure is geographically distributed in key sites of European waters, spanning from the Arctic, through the Atlantic and Mediterranean Sea to the Black Sea. It is presently consisting of thirteen sites which have been identified by the scientific community according to their importance respect to Marine Ecosystems, Climate Changes and Marine GeoHazards. The data infrastructure for EMSO is being designed as a distributed system. Presently, EMSO data collected during experiments at each EMSO site are locally stored and organized in catalogues or relational databases run by the responsible regional EMSO nodes. Three major institutions and their data centers are currently offering access to EMSO data: PANGAEA, INGV and IFREMER. In continuation of the IT activities which have been performed during EMSOs twin project ESONET, EMSO is now implementing the ESONET data architecture within an operational EMSO data infrastructure. EMSO aims to be compliant with relevant marine initiatives such as MyOceans, EUROSITES, EuroARGO, SEADATANET and EMODNET as well as to meet the requirements of international and interdisciplinary projects such as COOPEUS and ENVRI, EUDAT and iCORDI. A major focus is therefore set on standardization and

Transformation of technical infrastructure

DEFF Research Database (Denmark)

Nielsen, Susanne Balslev

, the evolution of large technological systems and theories about organisational and technological transformationprocesses. The empirical work consist of three analysis at three different levels: socio-technical descriptions of each sector, an envestigation of one municipality and envestigations of one workshop......The scope of the project is to investigate the possibillities of - and the barriers for a transformation of technical infrastructure conserning energy, water and waste. It focus on urban ecology as a transformation strategy. The theoretical background of the project is theories about infrastructure...

FOREWORD: Structural Health Monitoring and Intelligent Infrastructure

Science.gov (United States)

Wu, Zhishen; Fujino, Yozo

2005-06-01

This special issue collects together 19 papers that were originally presented at the First International Conference on Structural Health Monitoring and Intelligent Infrastructure (SHMII-1'2003), held in Tokyo, Japan, on 13-15 November 2003. This conference was organized by the Japan Society of Civil Engineers (JSCE) with partial financial support from the Japan Society for the Promotion of Science (JSPS) and the Ministry of Education, Culture, Sport, Science and Technology, Japan. Many related organizations supported the conference. A total of 16 keynote papers including six state-of-the-art reports from different counties, six invited papers and 154 contributed papers were presented at the conference. The conference was attended by a diverse group of about 300 people from a variety of disciplines in academia, industry and government from all over the world. Structural health monitoring (SHM) and intelligent materials, structures and systems have been the subject of intense research and development in the last two decades and, in recent years, an increasing range of applications in infrastructure have been discovered both for existing structures and for new constructions. SHMII-1'2003 addressed progress in the development of building, transportation, marine, underground and energy-generating structures, and other civilian infrastructures that are periodically, continuously and/or actively monitored where there is a need to optimize their performance. In order to focus the current needs on SHM and intelligent technologies, the conference theme was set as 'Structures/Infrastructures Sustainability'. We are pleased to have the privilege to edit this special issue on SHM and intelligent infrastructure based on SHMII-1'2003. We invited some of the presenters to submit a revised/extended version of their paper that was included in the SHMII-1'2003 proceedings for possible publication in the special issue. Each paper included in this special issue was edited with the same

Infrastructural urbanism that learns from place

DEFF Research Database (Denmark)

Carruth, Susan

2015-01-01

. Conventionally, energy ‘infrastructure’ denotes a physical system of pipes, cables, generators, plants, transformers, sockets, and pylons, however recent architectural research emerging within the loosely defined movement of Infrastructural Urbanism has reframed infrastructure as a symbiotic system of flows...

Assessment of Road Infrastructures Pertaining to Malaysian Experience

Directory of Open Access Journals (Sweden)

Samsuddin Norshakina

2016-01-01

Full Text Available Road Infrastructures contribute towards many severe accidents and it needs supervision as to improve road safety levels. The numbers of fatalities have increased annually and road authority should seriously consider conducting programs or activities to periodically monitor, restore of improve road infrastructure. Implementation of road safety audits may reduce fatalities among road users and maintain road safety at acceptable standards. This paper is aimed to discuss the aspects of road infrastructure in Malaysia. The research signifies the impact of road hazards during the observations and the impact of road infrastructure types on road accidents. The F050 (Jalan Kluang-Batu Pahat road case study showed that infrastructure risk is closely related with number of accident. As the infrastructure risk increase, the number of road accidents also increase. It was also found that different road zones along Jalan Kluang-Batu Pahat showed different level of intersection volume due to number of road intersection. Thus, it is hoped that by implementing continuous assessment on road infrastructures, it might be able to reduce road accidents and fatalities among drives and the community.

A natural language processing program effectively extracts key pathologic findings from radical prostatectomy reports.

Science.gov (United States)

Kim, Brian J; Merchant, Madhur; Zheng, Chengyi; Thomas, Anil A; Contreras, Richard; Jacobsen, Steven J; Chien, Gary W

2014-12-01

Natural language processing (NLP) software programs have been widely developed to transform complex free text into simplified organized data. Potential applications in the field of medicine include automated report summaries, physician alerts, patient repositories, electronic medical record (EMR) billing, and quality metric reports. Despite these prospects and the recent widespread adoption of EMR, NLP has been relatively underutilized. The objective of this study was to evaluate the performance of an internally developed NLP program in extracting select pathologic findings from radical prostatectomy specimen reports in the EMR. An NLP program was generated by a software engineer to extract key variables from prostatectomy reports in the EMR within our healthcare system, which included the TNM stage, Gleason grade, presence of a tertiary Gleason pattern, histologic subtype, size of dominant tumor nodule, seminal vesicle invasion (SVI), perineural invasion (PNI), angiolymphatic invasion (ALI), extracapsular extension (ECE), and surgical margin status (SMS). The program was validated by comparing NLP results to a gold standard compiled by two blinded manual reviewers for 100 random pathology reports. NLP demonstrated 100% accuracy for identifying the Gleason grade, presence of a tertiary Gleason pattern, SVI, ALI, and ECE. It also demonstrated near-perfect accuracy for extracting histologic subtype (99.0%), PNI (98.9%), TNM stage (98.0%), SMS (97.0%), and dominant tumor size (95.7%). The overall accuracy of NLP was 98.7%. NLP generated a result in report. This novel program demonstrated high accuracy and efficiency identifying key pathologic details from the prostatectomy report within an EMR system. NLP has the potential to assist urologists by summarizing and highlighting relevant information from verbose pathology reports. It may also facilitate future urologic research through the rapid and automated creation of large databases.

Development of a public health nursing data infrastructure.

Science.gov (United States)

Monsen, Karen A; Bekemeier, Betty; P Newhouse, Robin; Scutchfield, F Douglas

2012-01-01

An invited group of national public health nursing (PHN) scholars, practitioners, policymakers, and other stakeholders met in October 2010 identifying a critical need for a national PHN data infrastructure to support PHN research. This article summarizes the strengths, limitations, and gaps specific to PHN data and proposes a research agenda for development of a PHN data infrastructure. Future implications are suggested, such as issues related to the development of the proposed PHN data infrastructure and future research possibilities enabled by the infrastructure. Such a data infrastructure has potential to improve accountability and measurement, to demonstrate the value of PHN services, and to improve population health. © 2012 Wiley Periodicals, Inc.

Investment opportunities in infrastructure regardless of financial crisis

OpenAIRE

ILIE Georgeta

2009-01-01

During these times of dramatic change and financial market disorder, the challenge of infrastructure development is being drawn more into the highlight. Infrastructure will be rising in importance over the next years. The availability and quality of infrastructure directly affect where business operations are located and expanded. In this context, roads and power generation are the most urgent infrastructure needs. The paper reveals a few economic characteristics of current stage of infrastru...

Global information infrastructure.

Science.gov (United States)

Lindberg, D A

1994-01-01

The High Performance Computing and Communications Program (HPCC) is a multiagency federal initiative under the leadership of the White House Office of Science and Technology Policy, established by the High Performance Computing Act of 1991. It has been assigned a critical role in supporting the international collaboration essential to science and to health care. Goals of the HPCC are to extend USA leadership in high performance computing and networking technologies; to improve technology transfer for economic competitiveness, education, and national security; and to provide a key part of the foundation for the National Information Infrastructure. The first component of the National Institutes of Health to participate in the HPCC, the National Library of Medicine (NLM), recently issued a solicitation for proposals to address a range of issues, from privacy to 'testbed' networks, 'virtual reality,' and more. These efforts will build upon the NLM's extensive outreach program and other initiatives, including the Unified Medical Language System (UMLS), MEDLARS, and Grateful Med. New Internet search tools are emerging, such as Gopher and 'Knowbots'. Medicine will succeed in developing future intelligent agents to assist in utilizing computer networks. Our ability to serve patients is so often restricted by lack of information and knowledge at the time and place of medical decision-making. The new technologies, properly employed, will also greatly enhance our ability to serve the patient.

Digital Trade Infrastructures: A Framework for Analysis

Directory of Open Access Journals (Sweden)

Boriana Boriana

2018-04-01

Full Text Available In global supply chains, information about transactions resides in fragmented pockets within business and government systems. The lack of reliable, accurate and complete information makes it hard to detect risks (such as safety, security, compliance and commercial risks and at the same time makes international trade inefficient. The introduction of digital infrastructures that transcend organizational and system domains is driven by the prospect of reducing the fragmentation of information, thereby enabling improved security and efficiency in the trading process. This article develops a digital trade infrastructure framework through an empirically grounded analysis of four digital infrastructures in the trade domain, using the conceptual lens of digital infrastructure.

Security infrastructures: towards the INDECT system security

OpenAIRE

Stoianov, Nikolai; Urueña, Manuel; Niemiec, Marcin; Machník, Petr; Maestro, Gema

2012-01-01

This paper provides an overview of the security infrastructures being deployed inside the INDECT project. These security infrastructures can be organized in five main areas: Public Key Infrastructure, Communication security, Cryptography security, Application security and Access control, based on certificates and smartcards. This paper presents the new ideas and deployed testbeds for these five areas. In particular, it explains the hierarchical architecture of the INDECT PKI...

Robust Engineering Designs for Infrastructure Adaptation to a Changing Climate

Science.gov (United States)

Samaras, C.; Cook, L.

2015-12-01

Infrastructure systems are expected to be functional, durable and safe over long service lives - 50 to over 100 years. Observations and models of climate science show that greenhouse gas emissions resulting from human activities have changed climate, weather and extreme events. Projections of future changes (albeit with uncertainties caused by inadequacies of current climate/weather models) can be made based on scenarios for future emissions, but actual future emissions are themselves uncertain. Most current engineering standards and practices for infrastructure assume that the probabilities of future extreme climate and weather events will match those of the past. Climate science shows that this assumption is invalid, but is unable, at present, to define these probabilities over the service lives of existing and new infrastructure systems. Engineering designs, plans, and institutions and regulations will need to be adaptable for a range of future conditions (conditions of climate, weather and extreme events, as well as changing societal demands for infrastructure services). For their current and future projects, engineers should: Involve all stakeholders (owners, financers, insurance, regulators, affected public, climate/weather scientists, etc.) in key decisions; Use low regret, adaptive strategies, such as robust decision making and the observational method, comply with relevant standards and regulations, and exceed their requirements where appropriate; Publish design studies and performance/failure investigations to extend the body of knowledge for advancement of practice. The engineering community should conduct observational and modeling research with climate/weather/social scientists and the concerned communities and account rationally for climate change in revised engineering standards and codes. This presentation presents initial research on decisionmaking under uncertainty for climate resilient infrastructure design.

Transportation infrastructure resiliency : a review of transportation infrastructure resiliency in light of future impacts of climate change

Science.gov (United States)

2013-08-06

The threat of global climate change and its impact on our worlds infrastructure is a rapidly growing reality. Particularly, as seen in recent storm events such as Hurricane Katrina and Sandy in the United States, transportation infrastructure is o...

Water Infrastructure Asset Management Primer (WERF Report INFR9SG09b)

Science.gov (United States)

Abstract: Water infrastructure systems are essential for sustaining societal quality of life. However, they face a variety of challenges and potential threats to sustained performance, including aging, deterioration, underfunding, disruptive events, and population growth, among ...

Building an Evaluation Scale using Item Response Theory.

Science.gov (United States)

Lalor, John P; Wu, Hao; Yu, Hong

2016-11-01

Evaluation of NLP methods requires testing against a previously vetted gold-standard test set and reporting standard metrics (accuracy/precision/recall/F1). The current assumption is that all items in a given test set are equal with regards to difficulty and discriminating power. We propose Item Response Theory (IRT) from psychometrics as an alternative means for gold-standard test-set generation and NLP system evaluation. IRT is able to describe characteristics of individual items - their difficulty and discriminating power - and can account for these characteristics in its estimation of human intelligence or ability for an NLP task. In this paper, we demonstrate IRT by generating a gold-standard test set for Recognizing Textual Entailment. By collecting a large number of human responses and fitting our IRT model, we show that our IRT model compares NLP systems with the performance in a human population and is able to provide more insight into system performance than standard evaluation metrics. We show that a high accuracy score does not always imply a high IRT score, which depends on the item characteristics and the response pattern.

Rolling vibes : continuous transport infrastructure monitoring

NARCIS (Netherlands)

Seraj, Fatjon

2017-01-01

Transport infrastructure is a people to people technology, in the sense that is build by people to serve people, by facilitating transportation, connection and communication. People improved infrastructure by applying simple methods derived from their sensing and thinking. Since the early ages,

EPA Research Highlights: EPA Studies Aging Water Infrastructure

Science.gov (United States)

The nation's extensive water infrastructure has the capacity to treat, store, and transport trillions of gallons of water and wastewater per day through millions of miles of pipelines. However, some infrastructure components are more than 100 years old, and as the infrastructure ...

Infrastructural Fractals

DEFF Research Database (Denmark)

Bruun Jensen, Casper

2007-01-01

. Instead, I outline a fractal approach to the study of space, society, and infrastructure. A fractal orientation requires a number of related conceptual reorientations. It has implications for thinking about scale and perspective, and (sociotechnical) relations, and for considering the role of the social...... and a fractal social theory....

The Czech National Grid Infrastructure

Science.gov (United States)

Chudoba, J.; Křenková, I.; Mulač, M.; Ruda, M.; Sitera, J.

2017-10-01

The Czech National Grid Infrastructure is operated by MetaCentrum, a CESNET department responsible for coordinating and managing activities related to distributed computing. CESNET as the Czech National Research and Education Network (NREN) provides many e-infrastructure services, which are used by 94% of the scientific and research community in the Czech Republic. Computing and storage resources owned by different organizations are connected by fast enough network to provide transparent access to all resources. We describe in more detail the computing infrastructure, which is based on several different technologies and covers grid, cloud and map-reduce environment. While the largest part of CPUs is still accessible via distributed torque servers, providing environment for long batch jobs, part of infrastructure is available via standard EGI tools in EGI, subset of NGI resources is provided into EGI FedCloud environment with cloud interface and there is also Hadoop cluster provided by the same e-infrastructure.A broad spectrum of computing servers is offered; users can choose from standard 2 CPU servers to large SMP machines with up to 6 TB of RAM or servers with GPU cards. Different groups have different priorities on various resources, resource owners can even have an exclusive access. The software is distributed via AFS. Storage servers offering up to tens of terabytes of disk space to individual users are connected via NFS4 on top of GPFS and access to long term HSM storage with peta-byte capacity is also provided. Overview of available resources and recent statistics of usage will be given.

Potential for sharing nuclear power infrastructure between countries

International Nuclear Information System (INIS)

2006-10-01

The introduction or expansion of a nuclear power programme in a country and its successful execution is largely dependent on the network of national infrastructure, covering a wide range of activities and capabilities. The infrastructure areas include legal framework, safety and environmental regulatory bodies, international agreements, physical facilities, finance, education, training, human resources and public information and acceptance. The wide extent of infrastructure needs require an investment that can be too large or onerous for the national economy. The burden of infrastructure can be reduced significantly if a country forms a sharing partnership with other countries. The sharing can be at regional or at multinational level. It can include physical facilities, common programmes and knowledge, which will reflect in economic benefits. The sharing can also contribute in a significant manner to harmonization of codes and standards in general and regulatory framework in particular. The opportunities and potential of sharing nuclear power infrastructure is determined by the objectives, strategy and scenario of the national nuclear power programme. A review of individual infrastructure items shows that there are several opportunities for sharing of nuclear power infrastructure between countries if they cooperate with each other. International cooperation and sharing of nuclear power infrastructure are not new. This publication provides criteria and guidance for analyzing and identifying the potential for sharing of nuclear power infrastructure during the stages of nuclear power project life cycle. The target users are decision makers, advisers and senior managers in utilities, industrial organizations, regulatory bodies and governmental organizations in countries adopting or extending nuclear power programmes. This publication was produced within the IAEA programme directed to increase the capability of Member States to plan and implement nuclear power

Nuclear Power Infrastructure Development Program: Korean Education Program

International Nuclear Information System (INIS)

Choi, Sung Yeol; Hwang, Il Soon; Kim, Si Hwan

2009-01-01

Many countries have decided nuclear power for next energy resources as one of the long-term energy supply options. IAEA projected nuclear power expansion up to 2030 reaching between 447 GWe and 691 GWe compared to 370 GWe and 2660 TWh at the end of 2006. Both low and high projection is accompanied with new nuclear power plant constructions respectively 178 and 357, about 11 units per year, and most new construction is in North America, the Far East, Eastern Europe, the Middle East, and Southeast Asia. During the last forty years, thirty three countries have established commercial nuclear power programs but only some of them have developed comprehensive and large scale peaceful nuclear power infrastructure. Although various cooperation and guidance program of nuclear power infrastructure, developing appropriate environment and infrastructure of nuclear power plant is still challenging problems for developing countries launching nuclear power program. With increasing the demand of safety and safeguard from international society, creating appropriate infrastructure becomes essential requirements in national nuclear power program. In the viewpoint of developing countries, without sufficient explanation and proper guidance, infrastructure could be seen only as another barrier in its nuclear power program. The importance of infrastructure development would be obscured by ostensible business and infrastructure program can result in increasing entering barriers to peaceful nuclear power application field without benefits to developing countries and international community. To avoid this situation by providing enough explanation and realistic case example and cooperate with the countries wanting to establish comprehensive nuclear power infrastructure in the peaceful applications, we are creating the education program of infrastructure development with basic guidelines of the IAEA infrastructure series and Korean experiences from least developed country to advanced country

Transport infrastructure development in China

Directory of Open Access Journals (Sweden)

Bouraima Mouhamed Bayane

2017-05-01

Full Text Available This paper reviews the historical configuration process of transportation systems in China and examines the relationship between economic development and transport system at three different levels. The current status of transport infrastructure system development in China is summarized at national and regional level. The investment trends for transport infrastructure in China are also depicted. The keys issues relating to government initiatives are presented.

Modelling the South African fruit export infrastructure: A case study ...

African Journals Online (AJOL)

A description is provided of work performed as part of the fruit logistics infrastructure project commissioned by the South African Deciduous Fruit Producers' Trust and coordinated by the South African Council for Scientific and Industrial Research, as described in Van Dyk FE & Maspero E, 2004, An analysis of the South ...

Permafrost Hazards and Linear Infrastructure

Science.gov (United States)

Stanilovskaya, Julia; Sergeev, Dmitry

2014-05-01

The international experience of linear infrastructure planning, construction and exploitation in permafrost zone is being directly tied to the permafrost hazard assessment. That procedure should also consider the factors of climate impact and infrastructure protection. The current global climate change hotspots are currently polar and mountain areas. Temperature rise, precipitation and land ice conditions change, early springs occur more often. The big linear infrastructure objects cross the territories with different permafrost conditions which are sensitive to the changes in air temperature, hydrology, and snow accumulation which are connected to climatic dynamics. One of the most extensive linear structures built on permafrost worldwide are Trans Alaskan Pipeline (USA), Alaska Highway (Canada), Qinghai-Xizang Railway (China) and Eastern Siberia - Pacific Ocean Oil Pipeline (Russia). Those are currently being influenced by the regional climate change and permafrost impact which may act differently from place to place. Thermokarst is deemed to be the most dangerous process for linear engineering structures. Its formation and development depend on the linear structure type: road or pipeline, elevated or buried one. Zonal climate and geocryological conditions are also of the determining importance here. All the projects are of the different age and some of them were implemented under different climatic conditions. The effects of permafrost thawing have been recorded every year since then. The exploration and transportation companies from different countries maintain the linear infrastructure from permafrost degradation in different ways. The highways in Alaska are in a good condition due to governmental expenses on annual reconstructions. The Chara-China Railroad in Russia is under non-standard condition due to intensive permafrost response. Standards for engineering and construction should be reviewed and updated to account for permafrost hazards caused by the

Policy and planning for large infrastructure projects

DEFF Research Database (Denmark)

Flyvbjerg, Bent

2005-01-01

This paper focuses on problems and their causes and cures in policy and planning for large infrastructure projects. First, it identifies as the main problem in major infrastructure development pervasive misinformation about the costs, benefits, and risks involved. A consequence of misinformation ...... for large infrastructure projects, with a focus on better planning methods and changed governance structures, the latter being more important.......This paper focuses on problems and their causes and cures in policy and planning for large infrastructure projects. First, it identifies as the main problem in major infrastructure development pervasive misinformation about the costs, benefits, and risks involved. A consequence of misinformation...... the likelihood that it is their projects, and not the competition's, that gain approval and funding. This results in the "survival of the unfittest," where often it is not the best projects that are built, but the most misrepresented ones. Finally, the paper presents measures for reforming policy and planning...

A Survey on Infrastructure-Based Vehicular Networks

Directory of Open Access Journals (Sweden)

Cristiano M. Silva

2017-01-01

Full Text Available The infrastructure of vehicular networks plays a major role in realizing the full potential of vehicular communications. More and more vehicles are connected to the Internet and to each other, driving new technological transformations in a multidisciplinary way. Researchers in automotive/telecom industries and academia are joining their effort to provide their visions and solutions to increasingly complex transportation systems, also envisioning a myriad of applications to improve the driving experience and the mobility. These trends pose significant challenges to the communication systems: low latency, higher throughput, and increased reliability have to be granted by the wireless access technologies and by a suitable (possibly dedicated infrastructure. This paper presents an in-depth survey of more than ten years of research on infrastructures, wireless access technologies and techniques, and deployment that make vehicular connectivity available. In addition, we identify the limitations of present technologies and infrastructures and the challenges associated with such infrastructure-based vehicular communications, also highlighting potential solutions.

Arid Green Infrastructure for Water Control and Conservation ...

Science.gov (United States)

Green infrastructure is an approach to managing wet weather flows using systems and practices that mimic natural processes. It is designed to manage stormwater as close to its source as possible and protect the quality of receiving waters. Although most green infrastructure practices were first developed in temperate climates, green infrastructure also can be a cost-effective approach to stormwater management and water conservation in arid and semi-arid regions, such as those found in the western and southwestern United States. Green infrastructure practices can be applied at the site, neighborhood and watershed scales. In addition to water management and conservation, implementing green infrastructure confers many social and economic benefits and can address issues of environmental justice. The U.S. Environmental Protection Agency (EPA) commissioned a literature review to identify the state-of-the science practices dealing with water control and conservation in arid and semi-arid regions, with emphasis on these regions in the United States. The search focused on stormwater control measures or practices that slow, capture, treat, infiltrate and/or store runoff at its source (i.e., green infrastructure). The material in Chapters 1 through 3 provides background to EPA’s current activities related to the application of green infrastructure practices in arid and semi-arid regions. An introduction to the topic of green infrastructure in arid and semi-arid regions i

Infrastructure: A technology battlefield in the 21st century

Energy Technology Data Exchange (ETDEWEB)

Drucker, H.

1997-12-31

A major part of technological advancement has involved the development of complex infrastructure systems, including electric power generation, transmission, and distribution networks; oil and gas pipeline systems; highway and rail networks; and telecommunication networks. Dependence on these infrastructure systems renders them attractive targets for conflict in the twenty-first century. Hostile governments, domestic and international terrorists, criminals, and mentally distressed individuals will inevitably find some part of the infrastructure an easy target for theft, for making political statements, for disruption of strategic activities, or for making a nuisance. The current situation regarding the vulnerability of the infrastructure can be summarized in three major points: (1) our dependence on technology has made our infrastructure more important and vital to our everyday lives, this in turn, makes us much more vulnerable to disruption in any infrastructure system; (2) technologies available for attacking infrastructure systems have changed substantially and have become much easier to obtain and use, easy accessibility to information on how to disrupt or destroy various infrastructure components means that almost anyone can be involved in this destructive process; (3) technologies for defending infrastructure systems and preventing damage have not kept pace with the capability for destroying such systems. A brief review of these points will illustrate the significance of infrastructure and the growing dangers to its various elements.

Infrastructure Management : Dynamic control of assets

NARCIS (Netherlands)

Verlaan, J.G.; Schoenmaker, R.

2013-01-01

The infrastructure in the Netherlands is crucial for economic development on a national scale. Dramatic increases of transport and mobility accelerate ageing of infrastructure. The GNP of the Netherlands is strongly related to transport and to the two main ports (Port of Rotterdam and Amsterdam

Natural Language Processing in Radiology: A Systematic Review.

Science.gov (United States)

Pons, Ewoud; Braun, Loes M M; Hunink, M G Myriam; Kors, Jan A

2016-05-01

Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are stored for communication and documentation of diagnostic imaging, harnessing their potential requires efficient and automated information extraction: they exist mainly as free-text clinical narrative, from which it is a major challenge to obtain structured data. Natural language processing (NLP) provides techniques that aid the conversion of text into a structured representation, and thus enables computers to derive meaning from human (ie, natural language) input. Used on radiology reports, NLP techniques enable automatic identification and extraction of information. By exploring the various purposes for their use, this review examines how radiology benefits from NLP. A systematic literature search identified 67 relevant publications describing NLP methods that support practical applications in radiology. This review takes a close look at the individual studies in terms of tasks (ie, the extracted information), the NLP methodology and tools used, and their application purpose and performance results. Additionally, limitations, future challenges, and requirements for advancing NLP in radiology will be discussed. (©) RSNA, 2016 Online supplemental material is available for this article.

Flood vulnerability of critical infrastructure in Cork, Ireland

Directory of Open Access Journals (Sweden)

de Bruijn Karin M.

2016-01-01

Full Text Available Recent flood events in Ireland and particularly in County Cork have caused significant disruption to health service provisions, interruption of water and power supplies, and damage to roads and other transportation infrastructure, affecting the lives of hundreds of thousands of people over a prolonged period of weeks. These events clearly reveal- the vulnerability of the critical infrastructure to flooding and the dependence of society on critical infrastructure. In order to reduce the flood vulnerability and increase the resilience of the critical infrastructure networks in the future, detailed evidence-based analysis and assessment is essential. To this end a case study has been carried out on Cork City which analyses this vulnerability as it was in 2009, and as it is currently, and identifies adaptation options to reduce the future vulnerability of critical infrastructure to flooding and to build a more resilient society. This paper describes the storyline approach and CIrcle tool and their application to Cork City which focused on the analysis of the flood vulnerability of critical infrastructure and the impacts of failure of the infrastructure for other critical functions and on society.

Risk analysis of underground infrastructures in urban areas

International Nuclear Information System (INIS)

Cagno, Enrico; De Ambroggi, Massimiliano; Grande, Ottavio; Trucco, Paolo

2011-01-01

The paper presents an integrated approach for vulnerability and resilience analysis for underground infrastructures, i.e. a societal risk analysis of the failures of underground services for an urban area. The approach is based on the detailed study of (1) domino-effects for the components of a single infrastructure and for a given set of infrastructures interoperated and/or belonging to the same area; (2) risk and vulnerability analysis of a given area; (3) identification of a set of intervention guidelines, in order to improve the overall system resilience. The use of an integrated (interoperability and area) approach, breaking down the analysis area extent into sub-areas and assessing the dependencies among sub-areas both in terms of interoperability and damage propagation of critical infrastructures, demonstrates a useful advantage in terms of resilience analysis, more consistent with the 'zoned' nature of failures of the underground infrastructures. An applied case, describing the interoperability and damage propagation analysis with the evaluation of time-dependency for the infrastructures and targets and of different kinds of interventions of the underground infrastructures of a town, is presented for this purpose.

Evidence-based Neuro Linguistic Psychotherapy: a meta-analysis.

Science.gov (United States)

Zaharia, Cătălin; Reiner, Melita; Schütz, Peter

2015-12-01

Neuro Linguistic Programming (NLP) Framework has enjoyed enormous popularity in the field of applied psychology. NLP has been used in business, education, law, medicine and psychotherapy to identify people's patterns and alter their responses to stimuli, so they are better able to regulate their environment and themselves. NLP looks at achieving goals, creating stable relationships, eliminating barriers such as fears and phobias, building self-confidence, and self-esteem, and achieving peak performance. Neuro Linguistic Psychotherapy (NLPt) encompasses NLP as framework and set of interventions in the treatment of individuals with different psychological and/or social problems. We aimed systematically to analyse the available data regarding the effectiveness of Neuro Linguistic Psychotherapy (NLPt). The present work is a meta-analysis of studies, observational or randomized controlled trials, for evaluating the efficacy of Neuro Linguistic Programming in individuals with different psychological and/or social problems. The databases searched to identify studies in English and German language: CENTRAL in the Cochrane Library; PubMed; ISI Web of Knowledge (include results also from Medline and the Web of Science); PsycINFO (including PsycARTICLES); Psyndex; Deutschsprachige Diplomarbeiten der Psychologie (database of theses in Psychology in German language), Social SciSearch; National library of health and two NLP-specific research databases: one from the NLP Community (http://www.nlp.de/cgi-bin/research/nlprdb.cgi?action=res_entries) and one from the NLP Group (http://www.nlpgrup.com/bilimselarastirmalar/bilimsel-arastirmalar-4.html#Zweig154). From a total number of 425 studies, 350 were removed and considered not relevant based on the title and abstract. Included, in the final analysis, are 12 studies with numbers of participants ranging between 12 and 115 subjects. The vast majority of studies were prospective observational. The actual paper represents the first

Landscape Infrastructures: On Boundary Objects and Passage Points

DEFF Research Database (Denmark)

Boris, Stefan Darlan

2009-01-01

This paper is part of my ongoing Ph.D. thesis “Landscape infrastructures – Urban Forests as Ecological Systems”. Through investigations of the notion of infrastructure in a landscape urban discourse the thesis of this paper is that landscape infrastructure when seen as a fundamental relational...

A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system

Science.gov (United States)

Toor, S.; Osmani, L.; Eerola, P.; Kraemer, O.; Lindén, T.; Tarkoma, S.; White, J.

2014-06-01

The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.

A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system

International Nuclear Information System (INIS)

Toor, S; Eerola, P; Kraemer, O; Lindén, T; Osmani, L; Tarkoma, S; White, J

2014-01-01

The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.

Extensible threat taxonomy for critical infrastructures

NARCIS (Netherlands)

Luiijf, H.A.M.; Nieuwenhuijs, A.H.

2008-01-01

The European Union-sponsored project Vital Infrastructure Threats and Assurance (VITA) has the objective of exploring and showing new paths in Critical Infrastructure Protection (CIP) R&D. This paper describes one of VITA’s results: the idea and the development of a novel extensible and generic

Green infrastructure development at European Union's eastern border: Effects of road infrastructure and forest habitat loss.

Science.gov (United States)

Angelstam, Per; Khaulyak, Olha; Yamelynets, Taras; Mozgeris, Gintautas; Naumov, Vladimir; Chmielewski, Tadeusz J; Elbakidze, Marine; Manton, Michael; Prots, Bohdan; Valasiuk, Sviataslau

2017-05-15

The functionality of forest patches and networks as green infrastructure may be affected negatively both by expanding road networks and forestry intensification. We assessed the effects of (1) the current and planned road infrastructure, and (2) forest loss and gain, on the remaining large forest landscape massifs as green infrastructure at the EU's eastern border region in post-socialistic transition. First, habitat patch and network functionality in 1996-98 was assessed using habitat suitability index modelling. Second, we made expert interviews about road development with planners in 10 administrative regions in Poland, Belarus and Ukraine. Third, forest loss and gain inside the forest massifs, and gain outside them during the period 2001-14 were measured. This EU cross-border region hosts four remaining forest massifs as regional green infrastructure hotspots. While Poland's road network is developing fast in terms of new freeways, city bypasses and upgrades of road quality, in Belarus and Ukraine the focus is on maintenance of existing roads, and no new corridors. We conclude that economic support from the EU, and thus rapid development of roads in Poland, is likely to reduce the permeability for wildlife of the urban and agricultural matrix around existing forest massifs. However, the four identified forest massifs themselves, forming the forest landscape green infrastructure at the EU's east border, were little affected by road development plans. In contrast, forest loss inside massifs was high, especially in Ukraine. Only in Poland forest loss was balanced by gain. Forest gain outside forest massifs was low. To conclude, pro-active and collaborative spatial planning across different sectors and countries is needed to secure functional forest green infrastructure as base for biodiversity conservation and human well-being. Copyright © 2017. Published by Elsevier Ltd.

Rapid assessment of infrastructure of primary health care facilities - a relevant instrument for health care systems management.

Science.gov (United States)

Scholz, Stefan; Ngoli, Baltazar; Flessa, Steffen

2015-05-01

Health care infrastructure constitutes a major component of the structural quality of a health system. Infrastructural deficiencies of health services are reported in literature and research. A number of instruments exist for the assessment of infrastructure. However, no easy-to-use instruments to assess health facility infrastructure in developing countries are available. Present tools are not applicable for a rapid assessment by health facility staff. Therefore, health information systems lack data on facility infrastructure. A rapid assessment tool for the infrastructure of primary health care facilities was developed by the authors and pilot-tested in Tanzania. The tool measures the quality of all infrastructural components comprehensively and with high standardization. Ratings use a 2-1-0 scheme which is frequently used in Tanzanian health care services. Infrastructural indicators and indices are obtained from the assessment and serve for reporting and tracing of interventions. The tool was pilot-tested in Tanga Region (Tanzania). The pilot test covered seven primary care facilities in the range between dispensary and district hospital. The assessment encompassed the facilities as entities as well as 42 facility buildings and 80 pieces of technical medical equipment. A full assessment of facility infrastructure was undertaken by health care professionals while the rapid assessment was performed by facility staff. Serious infrastructural deficiencies were revealed. The rapid assessment tool proved a reliable instrument of routine data collection by health facility staff. The authors recommend integrating the rapid assessment tool in the health information systems of developing countries. Health authorities in a decentralized health system are thus enabled to detect infrastructural deficiencies and trace the effects of interventions. The tool can lay the data foundation for district facility infrastructure management.

How Exposure to ”Role Model” Projects Can Lead to Decisions for More Sustainable Infrastructure

Directory of Open Access Journals (Sweden)

Nora Harris

2016-01-01

Full Text Available A role model, whether an individual or a project, can inspire similar performance in others. This research examines such a phenomenon during the design process for more sustainable physical infrastructure. In this empirical study, engineering professionals (n = 54 were randomly assigned either a modified version of the Envision rating system for sustainable infrastructure, which was changed to include details from an exemplary role model project, or the current version of Envision, with no role model. Professionals given the role model version of Envision achieved on average 34% more points (SD = 27 than the control group (p = 0.001. A positive role model project appears to lead engineering professionals to higher goals for sustainability performance in their design decisions. This finding, and the corresponding line of interdisciplinary research, can be used in decision-structuring interventions, which are a relatively low-cost approach to support greater sustainability in physical infrastructure development.

Development and Operation of the D-Grid Infrastructure

Science.gov (United States)

Fieseler, Thomas; Gűrich, Wolfgang

D-Grid is the German national grid initiative, granted by the German Federal Ministry of Education and Research. In this paper we present the Core D-Grid which acts as a condensation nucleus to build a production grid and the latest developments of the infrastructure. The main difference compared to other international grid initiatives is the support of three middleware systems, namely LCG/gLite, Globus, and UNICORE for compute resources. Storage resources are connected via SRM/dCache and OGSA-DAI. In contrast to homogeneous communities, the partners in Core D-Grid have different missions and backgrounds (computing centres, universities, research centres), providing heterogeneous hardware from single processors to high performance supercomputing systems with different operating systems. We present methods to integrate these resources and services for the DGrid infrastructure like a point of information, centralized user and virtual organization management, resource registration, software provision, and policies for the implementation (firewalls, certificates, user mapping).

ATLAS EventIndex General Dataflow and Monitoring Infrastructure

CERN Document Server

Barberis, Dario; The ATLAS collaboration

2016-01-01

The ATLAS EventIndex has been running in production since mid-2015, reliably collecting information worldwide about all produced events and storing them in a central Hadoop infrastructure at CERN. A subset of this information is copied to an Oracle relational database for fast datasets discovery, event-picking, crosschecks with other ATLAS systems and checks for event duplication. The system design and its optimization is serving event picking from requests of a few events up to scales of tens of thousand of events, and in addition, data consistency checks are performed for large production campaigns. Detecting duplicate events with a scope of physics collections has recently arisen as an important use case. This paper describes the general architecture of the project and the data flow and operation issues, which are addressed by recent developments to improve the throughput of the overall system. In this direction, the data collection system is reducing the usage of the messaging infrastructure to overcome t...

ATLAS EventIndex general dataflow and monitoring infrastructure

CERN Document Server

AUTHOR|(SzGeCERN)638886; The ATLAS collaboration; Barberis, Dario; Favareto, Andrea; Garcia Montoro, Carlos; Gonzalez de la Hoz, Santiago; Hrivnac, Julius; Prokoshin, Fedor; Salt, Jose; Sanchez, Javier; Toebbicke, Rainer; Yuan, Ruijun

2017-01-01

The ATLAS EventIndex has been running in production since mid-2015, reliably collecting information worldwide about all produced events and storing them in a central Hadoop infrastructure at CERN. A subset of this information is copied to an Oracle relational database for fast dataset discovery, event-picking, crosschecks with other ATLAS systems and checks for event duplication. The system design and its optimization is serving event picking from requests of a few events up to scales of tens of thousand of events, and in addition, data consistency checks are performed for large production campaigns. Detecting duplicate events with a scope of physics collections has recently arisen as an important use case. This paper describes the general architecture of the project and the data flow and operation issues, which are addressed by recent developments to improve the throughput of the overall system. In this direction, the data collection system is reducing the usage of the messaging infrastructure to overcome th...

Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

Science.gov (United States)

Fong, Allan; Harriott, Nicole; Walters, Donna M; Foley, Hanan; Morrissey, Richard; Ratwani, Raj R

2017-08-01

Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the quantity of reports and length of free-text descriptions in the reports. Natural language processing (NLP) experts collaborated with clinical experts on a patient safety committee to assist in the identification and analysis of medication related patient safety events. Different NLP algorithmic approaches were developed to identify four types of medication related patient safety events and the models were compared. Well performing NLP models were generated to categorize medication related events into pharmacy delivery delays, dispensing errors, Pyxis discrepancies, and prescriber errors with receiver operating characteristic areas under the curve of 0.96, 0.87, 0.96, and 0.81 respectively. We also found that modeling the brief without the resolution text generally improved model performance. These models were integrated into a dashboard visualization to support the patient safety committee review process. We demonstrate the capabilities of various NLP models and the use of two text inclusion strategies at categorizing medication related patient safety events. The NLP models and visualization could be used to improve the efficiency of patient safety event data review and analysis. Copyright © 2017 Elsevier B.V. All rights reserved.

Design of Fast Response Smart Electric Vehicle Charging Infrastructure

Energy Technology Data Exchange (ETDEWEB)

Chung, Ching-Yen; Chynoweth, Joshua; Qiu, Charlie; Chu, Chi-Cheng; Gadh, Rajit

2013-11-25

The response time of the smart electrical vehicle (EV) charging infrastructure is the key index of the system performance. The traffic between the smart EV charging station and the control center dominates the response time of the smart charging stations. To accelerate the response of the smart EV charging station, there is a need for a technology that collects the information locally and relays it to the control center periodically. To reduce the traffic between the smart EV charger and the control center, a Power Information Collector (PIC), capable of collecting all the meters power information in the charging station, is proposed and implemented in this paper. The response time is further reduced by pushing the power information to the control center. Thus, a fast response smart EV charging infrastructure is achieved to handle the shortage of energy in the local grid.

31 CFR 800.208 - Critical infrastructure.

Science.gov (United States)

2010-07-01

... 31 Money and Finance: Treasury 3 2010-07-01 2010-07-01 false Critical infrastructure. 800.208 Section 800.208 Money and Finance: Treasury Regulations Relating to Money and Finance (Continued) OFFICE... infrastructure means, in the context of a particular covered transaction, a system or asset, whether physical or...

Managing assets in the infrastructure sector

NARCIS (Netherlands)

van Houten, T.P.; Zhang, L.

2010-01-01

In view of the importance of managing assets and the lack of research in managing assets in the infrastructure sector, we develop an asset management model in this study. This model is developed in line with the unique characteristics of the infrastructure assets and asset management principles and

Sustainable Water Infrastructure Asset Management: A Gap Analysis of Customer and Service Provider Perspectives

Directory of Open Access Journals (Sweden)

Sangjong Han

2015-09-01

Full Text Available The ultimate goal of urban water infrastructure asset management may be sustainable water supply with satisfaction for customers. In this work, we attempted to evaluate the gaps between the perspectives of customers and service providers in Korea’s water infrastructure asset management. To evaluate the customers’ perspective, a hierarchical questionnaire survey was conducted to estimate the weights of influence for six customer values and their attributes on Korean water utility management. To evaluate the service providers’ perspective, an AHP (Analytic Hierarchy Process analysis was performed to estimate the weights of influence for the customer values and their PIs (performance indicators. The gap analysis results show that customers place higher value on customer service satisfaction (emotion and information than do the service providers (managers, whereas the managers place more value on affordability than do the customers. The findings from this work imply that improving customer service is effective in satisfying the desirable water LOS (level of service for customers. Recommendations have also been provided for administrators and engineers to develop integrated decision-making systems that can reflect customer needs regarding the improvement of their water infrastructure asset management. The findings from this work may be helpful for the Korean government and water supply utilities in improving the sustainability of their water infrastructure asset management.

Critical infrastructure protection

Energy Technology Data Exchange (ETDEWEB)

Bradley, F. [Canadian Electricity Association, Toronto, ON (Canada)

2003-04-01

The need to protect critical electrical infrastructure from terrorist attacks, or other physical damage, including weather related events, or the potential impact of computer viruses and other attacks on IT resources are discussed. Activities of the North American Electric Reliability Council (NERC) are highlighted which seek to safeguard the North American bulk electric power system principally through the Information Sharing and Analysis Sector (ES-ISAC). ES-ISAC serves the electricity sector by facilitating communication between electric sector participants, federal government and other critical infrastructure industries by disseminating threat indications, analyses and warnings, together with interpretations, to assist the industry in taking infrastructure protection actions. Attention is drawn to the numerous cyber incidents in recent years, which although resulted in no loss of service to electricity customers so far, in at least one instance (the January 25th SOL-Slammer worm incident) resulted in degradation of service in a number of sectors, including financial, transportation and telecommunication services. The increasing frequency of cyber-based attacks, coupled with the industry's growing dependence on e-commerce and electronic controls, are good reasons to believe that critical infrastructure protection (CIP) poses a serious challenge to the industry's risk management practices. The Canadian Electricity Association (CEA) is an active participant in ES-ISAC and works cooperatively with a range of partners, such as the Edison Electric Institute and the American Public Power Association to ensure coordination and effective protection program delivery for the electric power sector. The Early Warning System (EWS) developed by the CIP Working Group is one of the results of this cooperation. EWS uses the Internet, e-mail, web-enabled cell phones and Blackberry hand-held devices to deliver real-time threat information to members on a 24/7 basis. EWS

OOI CyberInfrastructure - Next Generation Oceanographic Research

Science.gov (United States)

Farcas, C.; Fox, P.; Arrott, M.; Farcas, E.; Klacansky, I.; Krueger, I.; Meisinger, M.; Orcutt, J.

2008-12-01

Software has become a key enabling technology for scientific discovery, observation, modeling, and exploitation of natural phenomena. New value emerges from the integration of individual subsystems into networked federations of capabilities exposed to the scientific community. Such data-intensive interoperability networks are crucial for future scientific collaborative research, as they open up new ways of fusing data from different sources and across various domains, and analysis on wide geographic areas. The recently established NSF OOI program, through its CyberInfrastructure component addresses this challenge by providing broad access from sensor networks for data acquisition up to computational grids for massive computations and binding infrastructure facilitating policy management and governance of the emerging system-of-scientific-systems. We provide insight into the integration core of this effort, namely, a hierarchic service-oriented architecture for a robust, performant, and maintainable implementation. We first discuss the relationship between data management and CI crosscutting concerns such as identity management, policy and governance, which define the organizational contexts for data access and usage. Next, we detail critical services including data ingestion, transformation, preservation, inventory, and presentation. To address interoperability issues between data represented in various formats we employ a semantic framework derived from the Earth System Grid technology, a canonical representation for scientific data based on DAP/OPeNDAP, and related data publishers such as ERDDAP. Finally, we briefly present the underlying transport based on a messaging infrastructure over the AMQP protocol, and the preservation based on a distributed file system through SDSC iRODS.

Heterogeneous access and processing of EO-Data on a Cloud based Infrastructure delivering operational Products

Science.gov (United States)

Niggemann, F.; Appel, F.; Bach, H.; de la Mar, J.; Schirpke, B.; Dutting, K.; Rucker, G.; Leimbach, D.

2015-04-01

To address the challenges of effective data handling faced by Small and Medium Sized Enterprises (SMEs) a cloud-based infrastructure for accessing and processing of Earth Observation(EO)-data has been developed within the project APPS4GMES(www.apps4gmes.de). To gain homogenous multi mission data access an Input Data Portal (IDP) been implemented on this infrastructure. The IDP consists of an Open Geospatial Consortium (OGC) conformant catalogue, a consolidation module for format conversion and an OGC-conformant ordering framework. Metadata of various EO-sources and with different standards is harvested and transferred to an OGC conformant Earth Observation Product standard and inserted into the catalogue by a Metadata Harvester. The IDP can be accessed for search and ordering of the harvested datasets by the services implemented on the cloud infrastructure. Different land-surface services have been realised by the project partners, using the implemented IDP and cloud infrastructure. Results of these are customer ready products, as well as pre-products (e.g. atmospheric corrected EO data), serving as a basis for other services. Within the IDP an automated access to ESA's Sentinel-1 Scientific Data Hub has been implemented. Searching and downloading of the SAR data can be performed in an automated way. With the implementation of the Sentinel-1 Toolbox and own software, for processing of the datasets for further use, for example for Vista's snow monitoring, delivering input for the flood forecast services, can also be performed in an automated way. For performance tests of the cloud environment a sophisticated model based atmospheric correction and pre-classification service has been implemented. Tests conducted an automated synchronised processing of one entire Landsat 8 (LS-8) coverage for Germany and performance comparisons to standard desktop systems. Results of these tests, showing a performance improvement by the factor of six, proved the high flexibility and

Business Benefits from the Virtualization of an ICT Infrastructure

Directory of Open Access Journals (Sweden)

Ivan Pogarcic

2012-11-01

Full Text Available Virtualization is a technique that may be encountered in all parts of an ICT infrastructure. The benefits of virtualization for an infrastructure are recognized by a growing number of companies. In this way, virtualization creates prerequisites for the further improvement of the entire information system. Another reason is the growing awareness of environmental issues at the global level, which has become a large external sponsor of this technology. While virtualization technology has been known about for several decades, its hay day is yet to come. In the following years many jobs will be create because of it, from the user desktop and notebook computers, to the server in all businesses. This article examines the impact of virtualization in business enterprises, with emphasis on infrastructure costs and improved business functions. It points to the large savings that can occur even in medium‐sized enterprises. Claims are verifiable quantitative indicators, particularly in the procurement of equipment. It also demonstrates the benefits of virtualization while performing everyday tasks that take place within the IT department. We discuss the correlation of increased flexibility and convenience, and agile response to market demands, while reducing capital and operating costs, and increasing the competitiveness of companies in the market.

Integrated sustainable urban infrastructures in building projects

DEFF Research Database (Denmark)

Nielsen, Susanne Balslev; Quitzau, Maj-Britt; Elle, Morten

2007-01-01

Current strategies in urban planning and development merely promote standardized building solutions, while failing to prioritize innovative approaches of integration between building projects and sustainable urban infrastructures. As a result of this, urban infrastructures – the urban veins...... – are outdated from a sustainability perspective. This paper looks into more holistic ways of approaching building projects and discuss whether this provide a basis for an increased integration of urban infrastructures within building projects. In our study, we especially emphasise how conventional ways...... of approaching building projects are influenced by lock-in of existing infrastructural systems and compare this with two examples of more holistic ways of approaching building projects, developed by two architecture firms. The paper points out that such holistic perspective in building projects provide...

Collaborative Access Control For Critical Infrastructures

Science.gov (United States)

Baina, Amine; El Kalam, Anas Abou; Deswarte, Yves; Kaaniche, Mohamed

A critical infrastructure (CI) can fail with various degrees of severity due to physical and logical vulnerabilities. Since many interdependencies exist between CIs, failures can have dramatic consequences on the entire infrastructure. This paper focuses on threats that affect information and communication systems that constitute the critical information infrastructure (CII). A new collaborative access control framework called PolyOrBAC is proposed to address security problems that are specific to CIIs. The framework offers each organization participating in a CII the ability to collaborate with other organizations while maintaining control of its resources and internal security policy. The approach is demonstrated on a practical scenario involving the electrical power grid.

Scalability Issues for Remote Sensing Infrastructure: A Case Study

Directory of Open Access Journals (Sweden)

Yang Liu

2017-04-01

Full Text Available For the past decade, a team of University of Calgary researchers has operated a large “sensor Web” to collect, analyze, and share scientific data from remote measurement instruments across northern Canada. This sensor Web receives real-time data streams from over a thousand Internet-connected sensors, with a particular emphasis on environmental data (e.g., space weather, auroral phenomena, atmospheric imaging. Through research collaborations, we had the opportunity to evaluate the performance and scalability of their remote sensing infrastructure. This article reports the lessons learned from our study, which considered both data collection and data dissemination aspects of their system. On the data collection front, we used benchmarking techniques to identify and fix a performance bottleneck in the system’s memory management for TCP data streams, while also improving system efficiency on multi-core architectures. On the data dissemination front, we used passive and active network traffic measurements to identify and reduce excessive network traffic from the Web robots and JavaScript techniques used for data sharing. While our results are from one specific sensor Web system, the lessons learned may apply to other scientific Web sites with remote sensing infrastructure.

Identifying urban infrastructure multi-hazard risk in developing country contexts

Science.gov (United States)

Taylor, Faith; Malamud, Bruce; Millington, James

2017-04-01

This work presents a method to coarsely zone urban areas into different infrastructure typologies, from which physical vulnerability to a range of natural hazards and multi-hazard interactions can be estimated, particularly for developing country contexts where access to data can be a challenge. This work builds upon techniques developed for urban micrometeorology for classifying 12 urban typologies (Stewart and Oke, 2011) using Landsat 8 30 m × 30 m remote sensing imagery (Betchel et al., 2015). For each of these 12 urban typologies, we develop general rules about the presence, type and level of service of 10 broad categories of infrastructure (including buildings, roads, electricity and water), which we refer to as 'urban textures'. We have developed and applied this technique to five urban areas varying in size and structure across Africa: Nairobi (Kenya); Karonga (Malawi); Mzuzu (Malawi); Ibadan (Nigeria) and Cape Town (South Africa). For each urban area, a training dataset of 10 samples of each of the 12 urban texture classes is digitised using Google Earth imagery. A random forest classification is performed using SAGA GIS, resulting in a map of different urban typologies for each city. Based on >1200 georeferenced field photographs and expert interviews for Karonga (Malawi) and Nairobi (Kenya), generally applicable rules about the presence, type and level of service of 12 infrastructure types (the 'urban texture') are developed for each urban typology. For each urban texture, we are broadly reviewing how each infrastructure might be physically impacted by 21 different natural hazards and hazard interactions. This can aid local stakeholders such as emergency responders and urban planners to systematically identify how the infrastructure in different parts of an urban area might be affected differently during a natural disaster event.

Long Term Financing of Infrastructure

OpenAIRE

Sinha, Sidharth

2014-01-01

Infrastructure projects, given their long life, require long term financing. The main sources of long term financings are insurance and pension funds who seek long term investments with low credit risk. However, in India household financial savings are mainly invested in bank deposits. Insurance and pension funds account for only a small percentage of household financial savings. In addition most infrastructure projects do not qualify for investment by insurance and pension funds because of t...

CRITICAL INFORMATION INFRASTRUCTURE SECURITY - NETWORK INTRUSION DETECTION SYSTEMS

Directory of Open Access Journals (Sweden)

Cristea DUMITRU

2011-12-01

Full Text Available Critical Information Infrastructure security will always be difficult to ensure, just because of the features that make it irreplaceable tor other critical infrastructures normal operation. It is decentralized, interconnected interdependent, controlled by multiple actors (mainly private and incorporating diverse types of technologies. It is almost axiomatic that the disruption of the Critical Information Infrastructure affects systems located much farther away, and the cyber problems have direct consequences on the real world. Indeed the Internet can be used as a multiplier in order to amplify the effects of an attack on some critical infrastructures. Security challenges increase with the technological progress. One of the last lines of defense which comes to complete the overall security scheme of the Critical Information Infrastructure is represented by the Network Intrusion Detection Systems.

Controlling Infrastructure Costs: Right-Sizing the Mission Control Facility

Science.gov (United States)

Martin, Keith; Sen-Roy, Michael; Heiman, Jennifer

2009-01-01

Johnson Space Center's Mission Control Center is a space vehicle, space program agnostic facility. The current operational design is essentially identical to the original facility architecture that was developed and deployed in the mid-90's. In an effort to streamline the support costs of the mission critical facility, the Mission Operations Division (MOD) of Johnson Space Center (JSC) has sponsored an exploratory project to evaluate and inject current state-of-the-practice Information Technology (IT) tools, processes and technology into legacy operations. The general push in the IT industry has been trending towards a data-centric computer infrastructure for the past several years. Organizations facing challenges with facility operations costs are turning to creative solutions combining hardware consolidation, virtualization and remote access to meet and exceed performance, security, and availability requirements. The Operations Technology Facility (OTF) organization at the Johnson Space Center has been chartered to build and evaluate a parallel Mission Control infrastructure, replacing the existing, thick-client distributed computing model and network architecture with a data center model utilizing virtualization to provide the MCC Infrastructure as a Service. The OTF will design a replacement architecture for the Mission Control Facility, leveraging hardware consolidation through the use of blade servers, increasing utilization rates for compute platforms through virtualization while expanding connectivity options through the deployment of secure remote access. The architecture demonstrates the maturity of the technologies generally available in industry today and the ability to successfully abstract the tightly coupled relationship between thick-client software and legacy hardware into a hardware agnostic "Infrastructure as a Service" capability that can scale to meet future requirements of new space programs and spacecraft. This paper discusses the benefits

Assessing infrastructure vulnerability to major floods

Energy Technology Data Exchange (ETDEWEB)

Jenssen, Lars

1998-12-31

This thesis proposes a method for assessing the direct effects of serious floods on a physical infrastructure or utility. This method should be useful in contingency planning and in the design of structures likely to be damaged by flooding. A review is given of (1) methods of floodplain management and strategies for mitigating floods, (2) methods of risk analysis that will become increasingly important in flood management, (3) methods for hydraulic computations, (4) a variety of scour assessment methods and (5) applications of geographic information systems (GIS) to the analysis of flood vulnerability. Three computer codes were developed: CULVCAP computes the headwater level for circular and box culverts, SCOUR for assessing riprap stability and scour depths, and FASTFLOOD prepares input rainfall series and input files for the rainfall-runoff model used in the case study. A road system in central Norway was chosen to study how to analyse the flood vulnerability of an infrastructure. Finally, the thesis proposes a method for analysing the flood vulnerability of physical infrastructure. The method involves a general stage that will provide data on which parts of the infrastructure are potentially vulnerable to flooding and how to analyse them, and a specific stage which is concerned with analysing one particular kind of physical infrastructure in a study area. 123 refs., 59 figs., 17 tabs= .

Comparison of linear and nonlinear programming approaches for "worst case dose" and "minmax" robust optimization of intensity-modulated proton therapy dose distributions.

Science.gov (United States)

Zaghian, Maryam; Cao, Wenhua; Liu, Wei; Kardar, Laleh; Randeniya, Sharmalee; Mohan, Radhe; Lim, Gino

2017-03-01

Robust optimization of intensity-modulated proton therapy (IMPT) takes uncertainties into account during spot weight optimization and leads to dose distributions that are resilient to uncertainties. Previous studies demonstrated benefits of linear programming (LP) for IMPT in terms of delivery efficiency by considerably reducing the number of spots required for the same quality of plans. However, a reduction in the number of spots may lead to loss of robustness. The purpose of this study was to evaluate and compare the performance in terms of plan quality and robustness of two robust optimization approaches using LP and nonlinear programming (NLP) models. The so-called "worst case dose" and "minmax" robust optimization approaches and conventional planning target volume (PTV)-based optimization approach were applied to designing IMPT plans for five patients: two with prostate cancer, one with skull-based cancer, and two with head and neck cancer. For each approach, both LP and NLP models were used. Thus, for each case, six sets of IMPT plans were generated and assessed: LP-PTV-based, NLP-PTV-based, LP-worst case dose, NLP-worst case dose, LP-minmax, and NLP-minmax. The four robust optimization methods behaved differently from patient to patient, and no method emerged as superior to the others in terms of nominal plan quality and robustness against uncertainties. The plans generated using LP-based robust optimization were more robust regarding patient setup and range uncertainties than were those generated using NLP-based robust optimization for the prostate cancer patients. However, the robustness of plans generated using NLP-based methods was superior for the skull-based and head and neck cancer patients. Overall, LP-based methods were suitable for the less challenging cancer cases in which all uncertainty scenarios were able to satisfy tight dose constraints, while NLP performed better in more difficult cases in which most uncertainty scenarios were hard to meet

A novel critical infrastructure resilience assessment approach using dynamic Bayesian networks

Science.gov (United States)

Cai, Baoping; Xie, Min; Liu, Yonghong; Liu, Yiliu; Ji, Renjie; Feng, Qiang

2017-10-01

The word resilience originally originates from the Latin word "resiliere", which means to "bounce back". The concept has been used in various fields, such as ecology, economics, psychology, and society, with different definitions. In the field of critical infrastructure, although some resilience metrics are proposed, they are totally different from each other, which are determined by the performances of the objects of evaluation. Here we bridge the gap by developing a universal critical infrastructure resilience metric from the perspective of reliability engineering. A dynamic Bayesian networks-based assessment approach is proposed to calculate the resilience value. A series, parallel and voting system is used to demonstrate the application of the developed resilience metric and assessment approach.

Importance for Municipalities of Infrastructure Information Systems in Turkey

OpenAIRE

Kamil KARATAS; Cemal BIYIK

2017-01-01

Technical infrastructures are the important development-level parameters of countries, difficult to maintain and require high-investment cost. It is required to take the advantage of information system for the better administration of technical infrastructure facilities, planning and taking effective decisions. Hence, infrastructure information systems must be built oriented to technical infrastructure (TI). In this study, Kunduracilar Street in Trabzon was selected as pilot area oriented to ...

Measuring Systemic Impacts of Bike Infrastructure Projects

Science.gov (United States)

2018-05-01

This paper qualitatively identifies the impacts of bicycle infrastructure on all roadway users, including safety, operations, and travel route choice. Bicycle infrastructure includes shared lanes, conventional bike lanes, and separated bike lanes. Th...

Passive, wireless corrosion sensors for transportation infrastructure.

Science.gov (United States)

2011-07-01

Many industrial segments including utilities, manufacturing, government and infrastructure have an urgent need for a means to detect corrosion before significant damage occurs. Transportation infrastructure, such as bridges and roads, rely on reinfor...

Contractual Efficiency of PPP Infrastructure Projects: An Incomplete Contract Model

Directory of Open Access Journals (Sweden)

Lei Shi

2018-01-01

Full Text Available This study analyses the contractual efficiency of public-private partnership (PPP infrastructure projects, with a focus on two financial aspects: the nonrecourse principal and incompleteness of debt contracts. The nonrecourse principal releases the sponsoring companies from the debt contract when the special purpose vehicle (SPV established by the sponsoring companies falls into default. Consequently, all obligations under the debt contract are limited to the liability of the SPV following its default. Because the debt contract is incomplete, a renegotiation of an additional loan between the bank and the SPV might occur to enable project continuation or liquidation, which in turn influences the SPV’s ex ante strategies (moral hazard. Considering these two financial features of PPP infrastructure projects, this study develops an incomplete contract model to investigate how the renegotiation triggers ex ante moral hazard and ex post inefficient liquidation. We derive equilibrium strategies under service fees endogenously determined via bidding and examine the effect of equilibrium strategies on contractual efficiency. Finally, we propose an optimal combination of a performance guarantee, the government’s termination right, and a service fee to improve the contractual efficiency of PPP infrastructure projects.

Broadband PLC for Clustered Advanced Metering Infrastructure (AMI Architecture

Directory of Open Access Journals (Sweden)

Augustine Ikpehai

2016-07-01

Full Text Available Advanced metering infrastructure (AMI subsystems monitor and control energy distribution through exchange of information between smart meters and utility networks. A key challenge is how to select a cost-effective communication system without compromising the performance of the applications. Current communication technologies were developed for conventional data networks with different requirements. It is therefore necessary to investigate how much of existing communication technologies can be retrofitted into the new energy infrastructure to cost-effectively deliver acceptable level of service. This paper investigates broadband power line communications (BPLC as a backhaul solution in AMI. By applying the disparate traffic characteristics of selected AMI applications, the network performance is evaluated. This study also examines the communication network response to changes in application configurations in terms of packet sizes. In each case, the network is stress-tested and performance is assessed against acceptable thresholds documented in the literature. Results show that, like every other communication technology, BPLC has certain limitations; however, with some modifications in the network topology, it indeed can fulfill most AMI traffic requirements for flexible and time-bounded applications. These opportunities, if tapped, can significantly improve fiscal and operational efficiencies in AMI services. Simulation results also reveal that BPLC as a backhaul can support flat and clustered AMI structures with cluster size ranging from 1 to 150 smart meters.

Infrastructure Quality, Local Government Spending and Corruption

OpenAIRE

Ig. Sigit Murwito; Boedi Rheza; Sri Mulyati; Elizabeth Karlinda; Ratnawati Muyanto

2012-01-01

We study on how a larger local government budget on infrastructure does not reflect into good quality of road in forty-one district/city across Indonesia given the fact of low infrastructure quality and low government spending on infrastructure. This study excels its preceded studies done by Tanzi and Davoodi (1997) at country level. The methodology used is a combination of quantitative and qualitative approach since our main research query is to seek facts on why a larger government spending...

Handbook on Securing Cyber-Physical Critical Infrastructure

CERN Document Server

Das, Sajal K; Zhang, Nan

2012-01-01

The worldwide reach of the Internet allows malicious cyber criminals to coordinate and launch attacks on both cyber and cyber-physical infrastructure from anywhere in the world. This purpose of this handbook is to introduce the theoretical foundations and practical solution techniques for securing critical cyber and physical infrastructures as well as their underlying computing and communication architectures and systems. Examples of such infrastructures include utility networks (e.g., electrical power grids), ground transportation systems (automotives, roads, bridges and tunnels), airports a

Infrastructure and industrial location : a dual technology approach

OpenAIRE

Bjorvatn, Kjetil

2001-01-01

The paper investigates how differences in infrastructure quality may affect industrial location between countries. Employing a dualtechnology model, the main result of the paper is the somewhat surprising conclusion that an improvement in a country’s infrastructure may weaken its locational advantage and induce a firm to locate production in a country with a less efficient infrastructure.

A Framework and Metric for resilience concept in water infrastructure

Science.gov (United States)

Karamouz, M.; Olyaei, M.

2017-12-01

The collaborators of water industries are looking for ways and means to bring resilience into our water infrastructure systems. The key to this conviction is to develop a shared vision among the engineers, builders and decision makers of our water executive branch and policy makers, utilities, community leaders, players, end users and other stakeholders of our urban environment. Among water infrastructures, wastewater treatment plants (WWTP) have a significant role on urban systems' serviceability. These facilities, especially when located in coastal regions, are vulnerable to heavy rain, surface runoff, storm surges and coastal flooding. Flooding can cause overflows from treatment facilities into the natural water bodies and result in environmental predicament of significant proportions. In order to minimize vulnerability to flood, a better understanding of flood risk must be realized. Vulnerability to floods frequency and intensity is increasing by external forcing such as climate change, as well as increased interdependencies in urban systems. Therefore, to quantify the extent of efforts for flood risk management, a unified index is needed for evaluating resiliency of infrastructure. Resiliency is a key concept in understanding vulnerability in dealing with flood. New York City based on its geographic location, its urbanized nature, densely populated area, interconnected water bodies and history of the past flooding events is extremely vulnerable to flood and was selected as the case study. In this study, a framework is developed to evaluate resiliency of WWTPs. An analysis of the current understanding of vulnerability is performed and a new perspective utilizing different components of resiliency including resourcefulness, robustness, rapidity and redundancy is presented. To quantify resiliency and rank the wastewater treatment plants in terms of how resilient they are, an index is developed using Multi Criteria Decision Making (MCDM) technique. Moreover

VM-based infrastructure for simulating different cluster and storage solutions in ATLAS

CERN Document Server

KUTOUSKI, M; The ATLAS collaboration; PETROSYAN, A; KADOCHNIKOV, I; BELOV, S; KORENKOV, V

2012-01-01

The current ATLAS Tier3 infrastructure consists of a variety of sites of different sizes and with a mix of local resource management systems (LRMS) and mass storage system (MSS) implementations. The Tier3 monitoring suite, having been developed in order to satisfy the needs of Tier3 site administrators and to aggregate Tier3 monitoring information on the global VO level, needs to be validated for various combinations of LRMS and MSS solutions along with the corresponding Ganglia and/or Nagios plugins. For this purpose the Testbed infrastructure, which allows simulation of various computational cluster and storage solutions, had been set up at JINR (Dubna). This infrastructure provides the ability to run testbeds with various LRMS and MSS implementations, and with the capability to quickly redeploy particular testbeds or their components. Performance of specific components is not a critical issue for development and validation, whereas easy management and deployment are crucial. Therefore virtual machines were...

Dedicated IT infrastructure for Smart Levee Monitoring and Flood Decision Support

Directory of Open Access Journals (Sweden)

Balis Bartosz

2016-01-01

Full Text Available Smart levees are being increasingly investigated as a flood protection technology. However, in large-scale emergency situations, a flood decision support system may need to collect and process data from hundreds of kilometers of smart levees; such a scenario requires a resilient and scalable IT infrastructure, capable of providing urgent computing services in order to perform frequent data analyses required in decision making, and deliver their results in a timely fashion. We present the ISMOP IT infrastructure for smart levee monitoring, designed to support decision making in large-scale emergency situations. Most existing approaches to urgent computing services in decision support systems dealing with natural disasters focus on delivering quality of service for individual, isolated subsystems of the IT infrastructure (such as computing, storage, or data transmission. We propose a holistic approach to dynamic system management during both urgent (emergency and normal (non-emergency operation. In this approach, we introduce a Holistic Computing Controller which calculates and deploys a globally optimal configuration for the entire IT infrastructure, based on cost-of-operation and quality-of-service (QoS requirements of individual IT subsystems, expressed in the form of Service Level Agreements (SLAs. Our approach leads to improved configuration settings and, consequently, better fulfilment of the system’s cost and QoS requirements than would have otherwise been possible had the configuration of all subsystems been managed in isolation.

Urban Green Infrastructure: German Experience

OpenAIRE

Diana Olegovna Dushkova; Sergey Nikolaevich Kirillov

2016-01-01

The paper presents a concept of urban green infrastructure and analyzes the features of its implementation in the urban development programmes of German cities. We analyzed the most shared articles devoted to the urban green infrastructure to see different approaches to definition of this term. It is based on materials of field research in the cities of Berlin and Leipzig in 2014-2015, international and national scientific publications. During the process of preparing the paper, consultations...

Kenya's Integrated Nuclear Infrastructure Review Experience

International Nuclear Information System (INIS)

Ayacko, Ochilo G.M.

2015-01-01

Lessons learnt for INIR preparation: → A detailed Self Evaluation report is critical to proper evaluation of each infrastructure; → Involvement of all relevant organizations in preparation of self evaluation report and the main mission; → Meetings on individual infrastructure issues to consolidate the country position; → Openness during interviews and provision of adequate information

Technology Trends in Cloud Infrastructure

CERN Multimedia

CERN. Geneva

2018-01-01

Cloud computing is growing at an exponential pace with an increasing number of workloads being hosted in mega-scale public clouds such as Microsoft Azure. Designing and operating such large infrastructures requires not only a significant capital spend for provisioning datacenters, servers, networking and operating systems, but also R&D investments to capitalize on disruptive technology trends and emerging workloads such as AI/ML. This talk will cover the various infrastructure innovations being implemented in large scale public clouds and opportunities/challenges ahead to deliver the next generation of scale computing. About the speaker Kushagra Vaid is the general manager and distinguished engineer for Hardware Infrastructure in the Microsoft Azure division. He is accountable for the architecture and design of compute and storage platforms, which are the foundation for Microsoft’s global cloud-scale services. He and his team have successfully delivered four generations of hyperscale cloud hardwar...

Infrastructure for the Geospatial Web

Science.gov (United States)

Lake, Ron; Farley, Jim

Geospatial data and geoprocessing techniques are now directly linked to business processes in many areas. Commerce, transportation and logistics, planning, defense, emergency response, health care, asset management and many other domains leverage geospatial information and the ability to model these data to achieve increased efficiencies and to develop better, more comprehensive decisions. However, the ability to deliver geospatial data and the capacity to process geospatial information effectively in these domains are dependent on infrastructure technology that facilitates basic operations such as locating data, publishing data, keeping data current and notifying subscribers and others whose applications and decisions are dependent on this information when changes are made. This chapter introduces the notion of infrastructure technology for the Geospatial Web. Specifically, the Geography Markup Language (GML) and registry technology developed using the ebRIM specification delivered from the OASIS consortium are presented as atomic infrastructure components in a working Geospatial Web.

The Creation and Development of Innovative Infrastructure in the Danube Countries

OpenAIRE

Liudmila Rosca-Sadurschi

2014-01-01

Entrepreneurship development is supported by a developed infrastructure or innovative infrastructure. The purpose of the business infrastructure is to create favorable conditions for its development by providing support in various areas, complete and targeted to businesses. Training system infrastructure provides creation and development of innovation infrastructure objects. Thus, this article will conduct a comparative analysis of the elements of innovation infrastructure and how...

Transition towards a hydrogen economy: infrastructures and technical change

International Nuclear Information System (INIS)

Bento, Nuno

2010-01-01

The double constraint of climate change and increasing scarcity of oil requires that we consider alternative energies for the medium term. This thesis focuses on the development of a hydrogen economy, which is conditional on the existence of an infrastructure for the distribution of the new fuel and the readiness of fuel cells. The main idea is that the state can play a central role in both infrastructure implementation and preparation of fuel cells technology. The thesis begins with a techno-economic analysis of the hydrogen-energy chain, which highlights the difficulty of setting up the infrastructure. The study of the development of electricity and gas networks in the past provides the empirical basis supporting the hypothesis that government can play an important role to consolidate the diffusion of socio-technical networks. In addition, private projects of stations may be justified by early-move benefits, although their financial viability depends on the demand for hydrogen which is in turn dependent on the performance of the fuel cell vehicle. The introduction of radical innovations, such as fuel cell, has been made more difficult by the domination of conventional technologies. This assertion is particularly true in the transport sector which was progressively locked into fossil fuels by a process of technological and institutional co-evolution driven by increasing returns of scale. Hence, fuel cells may primarily diffuse through the accumulation of niches where the innovation is closer to commercialization. These niches may be located in portable applications segment. Investments in research and demonstration are still necessary in order to reduce costs and increase performances of fuel cells. Using a simple model of multi-technological diffusion, we analyze the competition between the hydrogen fuel cell vehicle and the plug-in hybrid car for the automotive market. We show that an early entry of the latter may block the arrival of hydrogen in the market

New infrastructures for knowledge production understanding e-science

CERN Document Server

Hine, Christine

2006-01-01

New Infrastructures for Knowledge Production: Understanding E-Science offers a distinctive understanding of new infrastructures for knowledge production based in science and technology studies. This field offers a unique potential to assess systematically the prospects for new modes of science enabled by information and communication technologies. The authors use varied methodological approaches, reviewing the origins of initiatives to develop e-science infrastructures, exploring the diversity of the various solutions and the scientific cultures which use them, and assessing the prospects for wholesale change in scientific structures and practices. New Infrastructures for Knowledge Production: Understanding E-Science contains practical advice for the design of appropriate technological solutions, and long range assessments of the prospects for change useful both to policy makers and those implementing institutional infrastructures. Readers interested in understanding contemporary science will gain a rich pict...

Security threats and their mitigation in infrastructure as a service

Directory of Open Access Journals (Sweden)

Bineet Kumar Joshi

2016-09-01

Full Text Available Cloud computing is a hot technology in the market. It permits user to use all IT resources as computing services on the basis of pay per use manner and access the applications remotely. Infrastructure as a service (IaaS is the basic requirement for all delivery models. Infrastructure as a service delivers all possible it resources (Network Components, Operating System, etc. as a service to users. From both users and providers point of view: integrity, privacy and other security issues in IaaS are the important concern. In this paper we studied in detail about the different types of security related issues in IaaS layer and methods to resolve them to maximize the performance and to maintain the highest level of security in IaaS.

Development tools for risk implementation of entrepreneurship infrastructure

Directory of Open Access Journals (Sweden)

Rustam Ilkamovich Malikov

2013-12-01

Full Text Available In the present article, we consider the organizational, economic and institutional aspects of the implementation of infrastructure projects in the Russian Federation. The main objective of the work is to try to organize the parameters of the national economy on the criteria of quality and availability of infrastructure for domestic business. According to the authors, an effective solution to the problem of modernization of infrastructure businesses in the regions may be the result of interaction between the state, the public and businesses to achieve the consolidation of their joint efforts. However, inadequate institutional and legal framework for the interaction of the institutions of government and business can be a significant barrier to the implementation of infrastructure projects to ensure economic activities of businesses. For this reason it is necessary to increase the loyalty and mutual benefit relationship of relevant government agencies and commercial organizations to develop the infrastructure of the complex in the context of meeting the mutual expectations of the parties at all stages of interaction. With the use of fuzzy set theory researchers presented a risk assessment model for infrastructure projects. The use of the model will allow for the participation of the rationale business structure in the formation of infrastructure resources to meet emerging potential benefits in the prevailing levels of risk.

6 CFR 29.8 - Disclosure of Protected Critical Infrastructure Information.

Science.gov (United States)

2010-01-01

... 6 Domestic Security 1 2010-01-01 2010-01-01 false Disclosure of Protected Critical Infrastructure... PROTECTED CRITICAL INFRASTRUCTURE INFORMATION § 29.8 Disclosure of Protected Critical Infrastructure... Infrastructure Protection, or either's designee may choose to provide or authorize access to PCII under one or...

MODERNIZATION OF NATIONAL ECONOMY THROUGH DEVELOPMENT OF REGIONAL PRODUCTION INFRASTRUCTURE

Directory of Open Access Journals (Sweden)

T. G. Guilyadov

2011-01-01

Full Text Available Any region’s economy comprises production and non-production spheres which are interconnected and equivalent. Key part of any regional production sphere is its production infrastructure whose value is double: it defines the level of regional economic development on one hand, andinterrelation with the whole national economy on the other hand. The greatest and most important regional production infrastructure elements are transportation infrastructure, information/communication infrastructure and communal infrastructure. Analysis and solution of issues related to development of the basic regional production infrastructure elements as suggested in the article will be very useful for modernization of the national economy.

Current and future flood risk to railway infrastructure in Europe

Science.gov (United States)

Bubeck, Philip; Kellermann, Patric; Alfieri, Lorenzo; Feyen, Luc; Dillenardt, Lisa; Thieken, Annegret H.

2017-04-01

Railway infrastructure plays an important role in the transportation of freight and passengers across the European Union. According to Eurostat, more than four billion passenger-kilometres were travelled on national and international railway lines of the EU28 in 2014. To further strengthen transport infrastructure in Europe, the European Commission will invest another € 24.05 billion in the transnational transport network until 2020 as part of its new transport infrastructure policy (TEN-T), including railway infrastructure. Floods pose a significant risk to infrastructure elements. Damage data of recent flood events in Europe show that infrastructure losses can make up a considerable share of overall losses. For example, damage to state and municipal infrastructure in the federal state of Saxony (Germany) accounted for nearly 60% of overall losses during the large-scale event in June 2013. Especially in mountainous areas with little usable space available, roads and railway lines often follow floodplains or are located along steep and unsteady slopes. In Austria, for instance, the flood of 2013 caused € 75 million of direct damage to railway infrastructure. Despite the importance of railway infrastructure and its exposure to flooding, assessments of potential damage and risk (i.e. probability * damage) are still in its infancy compared with other sectors, such as the residential or industrial sector. Infrastructure-specific assessments at the regional scale are largely lacking. Regional assessment of potential damage to railway infrastructure has been hampered by a lack of infrastructure-specific damage models and data availability. The few available regional approaches have used damage models that assess damage to various infrastructure elements (e.g. roads, railway, airports and harbours) using one aggregated damage function and cost estimate. Moreover, infrastructure elements are often considerably underrepresented in regional land cover data, such as

Infrastructure Joint Venture Projects in Malaysia: A Preliminary Study

Science.gov (United States)

Romeli, Norsyakilah; Muhamad Halil, Faridah; Ismail, Faridah; Sufian Hasim, Muhammad

2018-03-01

As many developed country practise, the function of the infrastructure is to connect the each region of Malaysia holistically and infrastructure is an investment network projects such as transportation water and sewerage, power, communication and irrigations system. Hence, a billions allocations of government income reserved for the sake of the infrastructure development. Towards a successful infrastructure development, a joint venture approach has been promotes by 2016 in one of the government thrust in Construction Industry Transformation Plan which encourage the internationalisation among contractors. However, there is depletion in information on the actual practise of the infrastructure joint venture projects in Malaysia. Therefore, this study attempt to explore the real application of the joint venture in Malaysian infrastructure projects. Using the questionnaire survey, a set of survey question distributed to the targeted respondents. The survey contained three section which the sections are respondent details, organizations background and project capital in infrastructure joint venture project. The results recorded and analyse using SPSS software. The contractors stated that they have implemented the joint venture practice with mostly the client with the usual construction period of the infrastructure project are more than 5 years. Other than that, the study indicates that there are problems in the joint venture project in the perspective of the project capital and the railway infrastructure should be given a highlights in future study due to its high significant in term of cost and technical issues.

Infrastructure Joint Venture Projects in Malaysia: A Preliminary Study

Directory of Open Access Journals (Sweden)

Romeli Norsyakilah

2018-01-01

Full Text Available As many developed country practise, the function of the infrastructure is to connect the each region of Malaysia holistically and infrastructure is an investment network projects such as transportation water and sewerage, power, communication and irrigations system. Hence, a billions allocations of government income reserved for the sake of the infrastructure development. Towards a successful infrastructure development, a joint venture approach has been promotes by 2016 in one of the government thrust in Construction Industry Transformation Plan which encourage the internationalisation among contractors. However, there is depletion in information on the actual practise of the infrastructure joint venture projects in Malaysia. Therefore, this study attempt to explore the real application of the joint venture in Malaysian infrastructure projects. Using the questionnaire survey, a set of survey question distributed to the targeted respondents. The survey contained three section which the sections are respondent details, organizations background and project capital in infrastructure joint venture project. The results recorded and analyse using SPSS software. The contractors stated that they have implemented the joint venture practice with mostly the client with the usual construction period of the infrastructure project are more than 5 years. Other than that, the study indicates that there are problems in the joint venture project in the perspective of the project capital and the railway infrastructure should be given a highlights in future study due to its high significant in term of cost and technical issues.

The Green Experiment: Cities, Green Stormwater Infrastructure, and Sustainability

Directory of Open Access Journals (Sweden)

Christopher M. Chini

2017-01-01

Full Text Available Green infrastructure is a unique combination of economic, social, and environmental goals and benefits that requires an adaptable framework for planning, implementing, and evaluating. In this study, we propose an experimental framework for policy, implementation, and subsequent evaluation of green stormwater infrastructure within the context of sociotechnical systems and urban experimentation. Sociotechnical systems describe the interaction of complex systems with quantitative and qualitative impacts. Urban experimentation—traditionally referencing climate change programs and their impacts—is a process of evaluating city programs as if in a laboratory setting with hypotheses and evaluated results. We combine these two concepts into a singular framework creating a policy feedback cycle (PFC for green infrastructure to evaluate municipal green infrastructure plans as an experimental process within the context of a sociotechnical system. After proposing and discussing the PFC, we utilize the tool to research and evaluate the green infrastructure programs of 27 municipalities across the United States. Results indicate that green infrastructure plans should incorporate community involvement and communication, evaluation based on project motivation, and an iterative process for knowledge production. We suggest knowledge brokers as a key resource in connecting the evaluation stage of the feedback cycle to the policy phase. We identify three important needs for green infrastructure experimentation: (i a fluid definition of green infrastructure in policy; (ii maintenance and evaluation components of a green infrastructure plan; and (iii communication of the plan to the community.

THE STUDY OF THE FORECASTING PROCESS INFRASTRUCTURAL SUPPORT BUSINESS

Directory of Open Access Journals (Sweden)

E. V. Sibirskaia

2014-01-01

Full Text Available Summary. When forecasting the necessary infrastructural support entrepreneurship predict rational distribution of the potential and expected results based on capacity development component of infrastructural maintenance, efficient use of resources, expertise and development of regional economies, the rationalization of administrative decisions, etc. According to the authors, the process of predicting business infrastructure software includes the following steps: analysis of the existing infrastructure support business to the top of the forecast period, the structure of resources, identifying disparities, their causes, identifying positive trends in the analysis and the results of research; research component of infrastructural support entrepreneurship, assesses complex system of social relations, institutions, structures and objects made findings and conclusions of the study; identification of areas of strategic change and the possibility of eliminating weaknesses and imbalances, identifying prospects for the development of entrepreneurship; identifying a set of factors and conditions affecting each component of infrastructure software, calculated the degree of influence of each of them and the total effect of all factors; adjustment indicators infrastructure forecasts. Research of views of category says a method of strategic planning and forecasting that methods of strategic planning are considered separately from forecasting methods. In a combination methods of strategic planning and forecasting, in relation to infrastructure ensuring business activity aren't given in literature. Nevertheless, authors consider that this category should be defined for the characteristic of the intrinsic and substantial nature of strategic planning and forecasting of infrastructure ensuring business activity.processing.

The MEUST deep sea infrastructure in the Toulon site

Directory of Open Access Journals (Sweden)

Lamare Patrick

2016-01-01

Full Text Available The MEUST infrastructure (Mediterranean Eurocentre for Underwater Sciences and Technologies is a permanent deep sea cabled infrastructure currently being deployed off shore of Toulon, France. The design and the status of the infrastructure are presented.

Quantifying the conservation gains from shared access to linear infrastructure.

Science.gov (United States)

Runge, Claire A; Tulloch, Ayesha I T; Gordon, Ascelin; Rhodes, Jonathan R

2017-12-01

The proliferation of linear infrastructure such as roads and railways is a major global driver of cumulative biodiversity loss. One strategy for reducing habitat loss associated with development is to encourage linear infrastructure providers and users to share infrastructure networks. We quantified the reductions in biodiversity impact and capital costs under linear infrastructure sharing of a range of potential mine to port transportation links for 47 mine locations operated by 28 separate companies in the Upper Spencer Gulf Region of South Australia. We mapped transport links based on least-cost pathways for different levels of linear-infrastructure sharing and used expert-elicited impacts of linear infrastructure to estimate the consequences for biodiversity. Capital costs were calculated based on estimates of construction costs, compensation payments, and transaction costs. We evaluated proposed mine-port links by comparing biodiversity impacts and capital costs across 3 scenarios: an independent scenario, where no infrastructure is shared; a restricted-access scenario, where the largest mining companies share infrastructure but exclude smaller mining companies from sharing; and a shared scenario where all mining companies share linear infrastructure. Fully shared development of linear infrastructure reduced overall biodiversity impacts by 76% and reduced capital costs by 64% compared with the independent scenario. However, there was considerable variation among companies. Our restricted-access scenario showed only modest biodiversity benefits relative to the independent scenario, indicating that reductions are likely to be limited if the dominant mining companies restrict access to infrastructure, which often occurs without policies that promote sharing of infrastructure. Our research helps illuminate the circumstances under which infrastructure sharing can minimize the biodiversity impacts of development. © 2017 The Authors. Conservation Biology published

Safety infrastructure for countries establishing their first research reactor

International Nuclear Information System (INIS)

Abou Yehia, H.; Shokr, A.M.

2010-01-01

Establishment of a research reactor is a major project requiring careful planning, preparation, implementation, and investment in time and human resources. The implementation of such a project requires establishment of sustainable infrastructures, including legal and regulatory, safety, technical, and economic. An analysis of the needs for a new research reactor facility should be performed including the development of a utilization plan and evaluation of site availability and suitability. All these elements should be covered by a feasibility study of the project. This paper discusses the elements of such a study with the main focus on the specific activities and steps for developing the necessary safety infrastructure. Progressive involvement of the main organizations in the project, and application of the IAEA Code of Conduct on the Safety of Research Reactors and IAEA Safety Standards in different phases of the project are presented and discussed. (author)

The radiation protection infrastructure in Madagascar

International Nuclear Information System (INIS)

Andriambololona, R.; Ratovonjanahary, J.F.; Randriantseheno, H.F.; Ramanandraibe, M.J.

2001-01-01

Madagascar is participating in the Model Project RAF/9/024 on 'Upgrading Radiation Protection Infrastructure'. Its radiation protection legislation is based on the BSS. The efforts being made to upgrade the country's regulatory infrastructure and the problems encountered are described below, as is the national information and training programme for the authorities, the public, workers and students. (author)

Making Infrastructure Work for Women and Men : A Review of World Bank Infrastructure Projects (1995-2009)

OpenAIRE

World Bank

2010-01-01

This report provides a gender review of a decade and a half of World Bank infrastructure lending for 1,246 projects. The objective of this review is to assess the status of and trends in gender integration in the World Bank infrastructure portfolio, and to establish a baseline for monitoring and enhancing gender integration in line with commitments made for the 2006 gender action plan. The ...

Building the energy infrastructure in Atlantic Canada

Energy Technology Data Exchange (ETDEWEB)

Curry, T. [Atlantica Centre for Energy, Saint John, New Brunswick (Canada)]. E-mail: tim.curry@atlanticaenergy.org

2007-07-01

This paper discusses the energy infrastructure in Atlantic Canada. The energy development is poised to help transform the economy of New Brunswick. Planning for energy projects and supporting infrastructure are under way and regional opportunities are emerging.

Building the energy infrastructure in Atlantic Canada

International Nuclear Information System (INIS)

Curry, T.

2007-01-01

This paper discusses the energy infrastructure in Atlantic Canada. The energy development is poised to help transform the economy of New Brunswick. Planning for energy projects and supporting infrastructure are under way and regional opportunities are emerging

Systematic risk assessment methodology for critical infrastructure elements - Oil and Gas subsectors

Science.gov (United States)

Gheorghiu, A.-D.; Ozunu, A.

2012-04-01

The concern for the protection of critical infrastructure has been rapidly growing in the last few years in Europe. The level of knowledge and preparedness in this field is beginning to develop in a lawfully organized manner, for the identification and designation of critical infrastructure elements of national and European interest. Oil and gas production, refining, treatment, storage and transmission by pipelines facilities, are considered European critical infrastructure sectors, as per Annex I of the Council Directive 2008/114/EC of 8 December 2008 on the identification and designation of European critical infrastructures and the assessment of the need to improve their protection. Besides identifying European and national critical infrastructure elements, member states also need to perform a risk analysis for these infrastructure items, as stated in Annex II of the above mentioned Directive. In the field of risk assessment, there are a series of acknowledged and successfully used methods in the world, but not all hazard identification and assessment methods and techniques are suitable for a given site, situation, or type of hazard. As Theoharidou, M. et al. noted (Theoharidou, M., P. Kotzanikolaou, and D. Gritzalis 2009. Risk-Based Criticality Analysis. In Critical Infrastructure Protection III. Proceedings. Third Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection. Hanover, New Hampshire, USA, March 23-25, 2009: revised selected papers, edited by C. Palmer and S. Shenoi, 35-49. Berlin: Springer.), despite the wealth of knowledge already created, there is a need for simple, feasible, and standardized criticality analyses. The proposed systematic risk assessment methodology includes three basic steps: the first step (preliminary analysis) includes the identification of hazards (including possible natural hazards) for each installation/section within a given site, followed by a criterial analysis and then a detailed analysis step

Improving your real-time data infrastructure using advanced data validation and reconciliation

Energy Technology Data Exchange (ETDEWEB)

Wising, Ulrika; Campan, Julien; Vrielynck, Bruno; Anjos, Cristiano dos; Kalitventzeff, Pierre-Boris [Belsim S.A., Awans (Belgium)

2008-07-01

'Smart fields', 'e-fields', 'field of the future', 'digital oil fields' and 'field monitoring' are all names of real-time data infrastructures aimed at providing information for decision making. This paper discusses these new real-time data infrastructures that are being developed and deployed in oil and gas production and in particular the challenge of supplying these new systems with high quality data. In order for these infrastructures to be successful and provide efficient and successful performance management and optimization, they need to have access to high quality production data. Advanced Data Validation and Reconciliation is a technology that could meet this data quality challenge. It has been successfully deployed in many different industry sectors and more recently in oil and gas production. Advanced Data Validation and Reconciliation provides a coherent, accurate set of production data and basing these new infrastructures on validated and reconciled data brings a solution to the data quality challenge. There are numerous other benefits by applying advanced data validation and reconciliation in oil and gas production, such as uninterrupted well production, optimized valves opening and water or gas injection, backup values for traditional multiphase flow meters, and the avoidance of production upsets. (author)

Anthropogenic infrastructure as a component of urbogeosystems

Directory of Open Access Journals (Sweden)

Oleksii Chuiev

2017-11-01

Full Text Available This article deals with the definition of the concept of "anthropogenic infrastructure" and attempts to find its place in the structure of urbogeosystems. The concept itself can not be called new, as many foreign authors have already used it, but the final definition never happened. The reasons why city studies are becoming more relevant in the face of ever-accelerating urbanization are briefly presented. Prerequisites for the emergence of the urban environment and approaches to its study are given. A special attention is paid to the consideration of urbosystems and their component structure. The main four components are described, which include the technosphere, biosphere, population and abiotic nature. The causes of the appearance of urban ecosystems and their specific features are analyzed. Based on the deficiencies of the "Urbosphere", "Urbosystem" and "Urboecosystem", the notion of "Urbogeosystem" is formed once again. Since architectural and construction objects are key components of such systems, their integration into anthropogenic infrastructure allows us to operate with a more general concept. Functional zones of the city, which are part of the anthropogenic infrastructure, are described. These include residential, industrial, forest and park areas. Examples of the use and functioning of each of the zones are given. An attempt has been made to estimate the boundaries of urbogeosystems. The existing approaches to the classification of anthropogenic infrastructure are analyzed. For one of them, it is advisable to allocate separately "hard" and "soft" infrastructure by the nature of the tasks of society, which they are called upon to satisfy. An alternative approach is to divide the anthropogenic infrastructure into "human" and "physical" ones. If the first satisfies the socio-cultural needs of people, the second is used for production, development, establishment of communications, transportation. It is proved why it is expedient to

Helix Nebula: Enabling federation of existing data infrastructures and data services to an overarching cross-domain e-infrastructure

Science.gov (United States)

Lengert, Wolfgang; Farres, Jordi; Lanari, Riccardo; Casu, Francesco; Manunta, Michele; Lassalle-Balier, Gerard

2014-05-01

Helix Nebula has established a growing public private partnership of more than 30 commercial cloud providers, SMEs, and publicly funded research organisations and e-infrastructures. The Helix Nebula strategy is to establish a federated cloud service across Europe. Three high-profile flagships, sponsored by CERN (high energy physics), EMBL (life sciences) and ESA/DLR/CNES/CNR (earth science), have been deployed and extensively tested within this federated environment. The commitments behind these initial flagships have created a critical mass that attracts suppliers and users to the initiative, to work together towards an "Information as a Service" market place. Significant progress in implementing the following 4 programmatic goals (as outlined in the strategic Plan Ref.1) has been achieved: × Goal #1 Establish a Cloud Computing Infrastructure for the European Research Area (ERA) serving as a platform for innovation and evolution of the overall infrastructure. × Goal #2 Identify and adopt suitable policies for trust, security and privacy on a European-level can be provided by the European Cloud Computing framework and infrastructure. × Goal #3 Create a light-weight governance structure for the future European Cloud Computing Infrastructure that involves all the stakeholders and can evolve over time as the infrastructure, services and user-base grows. × Goal #4 Define a funding scheme involving the three stake-holder groups (service suppliers, users, EC and national funding agencies) into a Public-Private-Partnership model to implement a Cloud Computing Infrastructure that delivers a sustainable business environment adhering to European level policies. Now in 2014 a first version of this generic cross-domain e-infrastructure is ready to go into operations building on federation of European industry and contributors (data, tools, knowledge, ...). This presentation describes how Helix Nebula is being used in the domain of earth science focusing on geohazards. The

Welcome to NNIN | National Nanotechnology Infrastructure Network

Science.gov (United States)

Skip to main content National Nanotechnology Infrastructure Network National Nanotechnology Infrastructure Network Serving Nanoscale Science, Engineering & Technology Search form Search Search Home facilities feature over 1100 modern nanotechnology instruments such as these Reactive Ion Etch systems at the

Developing geographic information infrastructure : The role of information policies

NARCIS (Netherlands)

Van Loenen, B.

2006-01-01

Within information societies, information availability is a key issue affecting societyâs well being. The infrastructure underlying the foundation of the information society may be referred to as the information infrastructure. A geographic information infrastructure (GII) supports the information

Resurrecting social infrastructure as a determinant of urban tuberculosis control in Delhi, India.

Science.gov (United States)

Chandra, Shivani; Sharma, Nandini; Joshi, Kulanand; Aggarwal, Nishi; Kannan, Anjur Tupil

2014-01-17

The key to universal coverage in tuberculosis (TB) management lies in community participation and empowerment of the population. Social infrastructure development generates social capital and addresses the crucial social determinants of TB, thereby improving program performance. Recently, there has been renewed interest in the concept of social infrastructure development for TB control in developing countries. This study aims to revive this concept and highlight the fact that documentation on ways to operationalize urban TB control is required from a holistic development perspective. Further, it explains how development of social infrastructure impacts health and development outcomes, especially with respect to TB in urban settings. A wide range of published Government records pertaining to social development parameters and TB program surveillance, between 2001 and 2011 in Delhi, were studied. Social infrastructure development parameters like human development index along with other indicators reflecting patient profile and habitation in urban settings were selected as social determinants of TB. These include adult literacy rates, per capita income, net migration rates, percentage growth in slum population, and percentage of urban population living in one-room dwelling units. The impact of the Revised National Tuberculosis Control Program on TB incidence was assessed as an annual decline in new TB cases notified under the program. Univariate linear regression was employed to examine the interrelationship between social development parameters and TB program outcomes. The decade saw a significant growth in most of the social development parameters in the State. TB program performance showed 46% increment in lives saved among all types of TB cases per 100,000 population. The 7% reduction in new TB case notifications from the year 2001 to 2011, translates to a logarithmic decline of 5.4 new TB cases per 100,000 population. Except per capita income, literacy, and net

Pilot Implementations as an Approach to Infrastructure

DEFF Research Database (Denmark)

Manikas, Maria Ie; Torkilsheyggi, Arnvør Martinsdóttir á

In this paper we introduce pilot implementation, a supplement to information systems development, as an approach to study and design work infrastructures. We report from two pilot implementations in the Danish healthcare, which showed signs of grappling with aligning the past, present...... and the future while using a pilot system in real use situations and with real users. Based on our initial findings we believe that pilot implementations can address some of the challenges of studying infrastructures, because they make the infrastructure visible and because they can integrate the long......-term with the short-term aspects. The paper is based on work-in-progress and the purpose is not as much to make conclusions as to spark discussion about whether pilot implementations could offer a way to study and design work infrastructures during information system development....

Joint deployment of refuelling infrastructure and vehicles

International Nuclear Information System (INIS)

Smith, R.

2010-01-01

A wide range of fuels will be used in future transportation technologies. This presentation discussed refuelling infrastructure solutions for alternative fuels. A well-placed demonstration infrastructure will help to accelerate market development. Stakeholder collaboration is needed to create high value business paradigms and identify stakeholder benefits. Infrastructure paradigms include the home; businesses; retail public refuelling forecourts; and multi-fuel waste heat recovery sites. Commercial nodes can be developed along major transportation routes. Stakeholder groups include technology providers, supply chain and service providers, commercial end-users, and government. A successful alternative fuel infrastructure model will consider market development priorities, time frames and seed investment opportunities. Applications must be market-driven in order to expand. A case study of the natural gas vehicle (NGV) program in Ontario was also discussed, as well as various hydrogen projects. tabs., figs.

Enhancing infrastructure resilience through business continuity planning.

Science.gov (United States)

Fisher, Ronald; Norman, Michael; Klett, Mary

2017-01-01

Critical infrastructure is crucial to the functionality and wellbeing of the world around us. It is a complex network that works together to create an efficient society. The core components of critical infrastructure are dependent on one another to function at their full potential. Organisations face unprecedented environmental risks such as increased reliance on information technology and telecommunications, increased infrastructure interdependencies and globalisation. Successful organisations should integrate the components of cyber-physical and infrastructure interdependencies into a holistic risk framework. Physical security plans, cyber security plans and business continuity plans can help mitigate environmental risks. Cyber security plans are becoming the most crucial to have, yet are the least commonly found in organisations. As the reliance on cyber continues to grow, it is imperative that organisations update their business continuity and emergency preparedness activities to include this.

Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research.

Science.gov (United States)

Schroeck, Florian R; Patterson, Olga V; Alba, Patrick R; Pattison, Erik A; Seigne, John D; DuVall, Scott L; Robertson, Douglas J; Sirovich, Brenda; Goodney, Philip P

2017-12-01

To take the first step toward assembling population-based cohorts of patients with bladder cancer with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from full-text pathology reports. Using 600 bladder pathology reports randomly selected from the Department of Veterans Affairs, we developed and validated an NLP engine to abstract data on histology, invasion (presence vs absence and depth), grade, the presence of muscularis propria, and the presence of carcinoma in situ. Our gold standard was based on an independent review of reports by 2 urologists, followed by adjudication. We assessed the NLP performance by calculating the accuracy, the positive predictive value, and the sensitivity. We subsequently applied the NLP engine to pathology reports from 10,725 patients with bladder cancer. When comparing the NLP output to the gold standard, NLP achieved the highest accuracy (0.98) for the presence vs the absence of carcinoma in situ. Accuracy for histology, invasion (presence vs absence), grade, and the presence of muscularis propria ranged from 0.83 to 0.96. The most challenging variable was depth of invasion (accuracy 0.68), with an acceptable positive predictive value for lamina propria (0.82) and for muscularis propria (0.87) invasion. The validated engine was capable of abstracting pathologic characteristics for 99% of the patients with bladder cancer. NLP had high accuracy for 5 of 6 variables and abstracted data for the vast majority of the patients. This now allows for the assembly of population-based cohorts with longitudinal pathology data. Published by Elsevier Inc.

INIR: Integrated Nuclear Infrastructure Review Missions. Guidance on Preparing and Conducting INIR Missions (Rev. 1)

International Nuclear Information System (INIS)

2011-04-01

The IAEA's Integrated Nuclear Infrastructure Review (INIR) missions are designed to assist Member States, at their request, in evaluating the status of their national infrastructure for the introduction of a nuclear power programme. Each INIR mission is coordinated and led by the IAEA and conducted by a team of international experts drawn from Member States who have experience in different aspects of developing and deploying nuclear infrastructure. The IAEA publication Milestones in the Development of a National Infrastructure for Nuclear Power (IAEA Nuclear Energy Series No. NG-G-3.1) contains a description of 19 infrastructure issues to be considered during the different stages of development of a nuclear power programme. The starting point for an INIR mission is a self-evaluation performed by the Member State against these infrastructure issues. Following the self-evaluation, the INIR mission reviews the status of the national nuclear infrastructure, identifies existing gaps in specific infrastructure-related areas and proposes recommendations to fill these gaps. The INIR mission provides Member State representatives with an opportunity to have in depth discussions with international experts about experiences and best practices in different countries. In developing its recommendations, the INIR team takes into account the comments made by the relevant national organizations. Implementation of any of the team's recommendations is at the discretion of the Member State requesting the mission. The results of the INIR mission are expected to help the Member State to develop an action plan to fill any gaps, which in turn will help the development of the national nuclear infrastructure. The IAEA stands ready to assist, as requested and appropriate, in the different steps of this action plan. This guidance publication is directed to assist in preparing and conducting the INIR missions. It was developed under the coordination of the IAEA Integrated Nuclear Infrastructure

A multi VO Grid infrastructure at DESY

International Nuclear Information System (INIS)

Gellrich, Andreas

2010-01-01

As a centre for research with particle accelerators and synchrotron light, DESY operates a Grid infrastructure in the context of the EU-project EGEE and the national Grid initiative D-GRID. All computing and storage resources are located in one Grid infrastructure which supports a number of Virtual Organizations of different disciplines, including non-HEP groups such as the Photon Science community. Resource distribution is based on fair share methods without dedicating hardware to user groups. Production quality of the infrastructure is guaranteed by embedding it into the DESY computer centre.

Directions of development of transport infrastructure of Ukraine

Directory of Open Access Journals (Sweden)

V.I. Kopytko

2012-08-01

Full Text Available The trends of the transport infrastructure development as a basic factor of national security, the stable and dynamic economic growth, its integration into the European and world economic space are considered. The most important element of the transport infrastructure in the modern economy is a network of logistic providers, which reduce transaction costs and improve the quality of transport service. And the main direction of government policy according to infrastructure should be a gradual transition of activities for establishing and operating the infrastructure objects, that is a burden for the State, from a cost sphere to an efficient business based on the state-private partnership.

Pt supported self-assembled nest-like-porous WO3 hierarchical microspheres as electrocatalyst for methanol oxidation

International Nuclear Information System (INIS)

Zhang, Jun; Tu, Jiang-ping; Du, Gao-hui; Dong, Zi-min; Su, Qing-mei; Xie, Dong; Wang, Xiu-li

2013-01-01

Highlights: ► Nest-like-porous (NLP) WO 3 microspheres are assembled by a hydrothermal method. ► The NLP-WO 3 microspheres have a hexagonal structure and high porous surface. ► Great enhancement of electrochemical property is achieved for Pt/NLP-WO 3 microspheres. -- Abstract: Hexagonal tungsten trioxide (hex-WO 3 ) hierarchical microspheres with nest-like pores are synthesized by a facile hydrothermal method. The nest-like-porous (NLP) WO 3 hierarchical microspheres with 5–6 μm in diameters are self-assembled of single-crystal nanowires. The nanowires have lengths of several hundred nanometers and diameters of 5–30 nm; the long axis of nanowire is oriented toward 〈0 0 1〉 direction. The specific surface area of hex-WO 3 microspheres is 62 m 2 g −1 . 20 wt.% Pt nanoparticles with ∼7 nm are loaded onto the WO 3 microspheres using a conventional microwave-assisted ethylene glycol (EG) method. The electrocatalytic activity for methanol oxidation of Pt/NLP-WO 3 microspheres is investigated by cyclic voltammetry and chronoamperometry. Due to the large tunnels of hexagonal structure and high porous surface morphology, great enhancement of electrochemical performance is achieved. The Pt/NLP-WO 3 microspheres are demonstrated to be a promising anode material for direct methanol fuel cells (DMFC)

The Danish transport infrastructure 2030. Report from the Danish Infrastructure Commission; Danmarks transportinfrastruktur 2030. Betaenkning fra Infrastrukturkommissionen

Energy Technology Data Exchange (ETDEWEB)

2008-01-15

The Danish Infrastructure Commission was appointed in November 2006 following a government decision. The terms of reference for the work of the commission state that 'the overall objective is for Denmark to maintain and develop its position as one of the countries in the world with the best transport systems, despite the fact that growing traffic volumes are increasing the requirements in the long term'. On this background, the commission has been given the following main tasks: 1) To analyse and assess the key challenges and development potential for the infrastructure and national traffic investments until 2030. 2) To identify and assess the strategic options and priorities and to put forward suggestions to strengthen the basis for the national investment decisions in the transport area. Furthermore, the commission was given the task of analysing and assessing proposals for strategies for handling a number of selected issues. These include the issue of cost-effective organisation and management of construction projects, the handling of preservation, climate and environmental concerns, the opportunity for better utilisation of the infrastructure by means of modern IT, and the significance of the long-term physical planning. The Danish Infrastructure Commission recommends six focus areas to be used as the starting point for planning the future transport system. Transport is about quality of life and prosperity - about connections between people, families and businesses. Infrastructure contributes to ensuring that we can get to work, and that products and goods can be transported to their destination in the shops and to the consumers. This makes infrastructure a vital cornerstone for our welfare and prosperity. Mobility is a key element in the competitiveness of businesses - and thus also for the growth conditions of Danish society. Efficient transport systems contribute to ensuring that goods can be produced in the best and least expensive location. The

Rise of the build infrastructure

International Nuclear Information System (INIS)

Eulisse, Giulio; Muzaffar, Shahzad; Abdurachmanov, David; Mendez, David

2014-01-01

CMS Offline Software, CMSSW, is an extremely large software project, with roughly 3 millions lines of code, two hundreds of active developers and two to three active development branches. Given the scale of the problem, both from a technical and a human point of view, being able to keep on track such a large project, bug free, and to deliver builds for different architectures is a challenge in itself. Moreover the challenges posed by the future migration of CMSSW to multithreading also require adapting and improving our QA tools. We present the work done in the last two years in our build and integration infrastructure, particularly in the form of improvements to our build tools, in the simplification and extensibility of our build infrastructure and the new features added to our QA and profiling tools. Finally we present our plans for the future directions for code management and how this reflects on our workflows and the underlying software infrastructure.

Representing nature : Late twentieth century green infrastructures in Paris

NARCIS (Netherlands)

Van der Velde, J.R.T.; De Wit, S.I.

2015-01-01

The appreciation of green infrastructures as ‘nature’ by urban communities presents a critical challenge for the green infrastructure concept. While many green infrastructures focus on functional considerations, their refinement as places where concepts of nature are represented and where nature can

Public key infrastructure for DOE security research

Energy Technology Data Exchange (ETDEWEB)

Aiken, R.; Foster, I.; Johnston, W.E. [and others

1997-06-01

This document summarizes the Department of Energy`s Second Joint Energy Research/Defence Programs Security Research Workshop. The workshop, built on the results of the first Joint Workshop which reviewed security requirements represented in a range of mission-critical ER and DP applications, discussed commonalties and differences in ER/DP requirements and approaches, and identified an integrated common set of security research priorities. One significant conclusion of the first workshop was that progress in a broad spectrum of DOE-relevant security problems and applications could best be addressed through public-key cryptography based systems, and therefore depended upon the existence of a robust, broadly deployed public-key infrastructure. Hence, public-key infrastructure ({open_quotes}PKI{close_quotes}) was adopted as a primary focus for the second workshop. The Second Joint Workshop covered a range of DOE security research and deployment efforts, as well as summaries of the state of the art in various areas relating to public-key technologies. Key findings were that a broad range of DOE applications can benefit from security architectures and technologies built on a robust, flexible, widely deployed public-key infrastructure; that there exists a collection of specific requirements for missing or undeveloped PKI functionality, together with a preliminary assessment of how these requirements can be met; that, while commercial developments can be expected to provide many relevant security technologies, there are important capabilities that commercial developments will not address, due to the unique scale, performance, diversity, distributed nature, and sensitivity of DOE applications; that DOE should encourage and support research activities intended to increase understanding of security technology requirements, and to develop critical components not forthcoming from other sources in a timely manner.

DETERMINANTS OF RISK ASSESSMENT PROCESS IN CRITICAL ENERGY INFRASTRUCTURE

Directory of Open Access Journals (Sweden)

Przemysław Borkowski

2016-06-01

Full Text Available Article deals with the problem of risk assessment in critical energy infrastructure. Firstly the critical infrastructure in energy sector is discussed than risk identification methodology for application to critical infrastructure is proposed. Specific conditions resulting from features of critical infrastructure are addressed in the context of risk assessment procedure. The limits of such a procedure are outlined and critical factors influencing different stages of risk assessment process are researched in view of specificity of the sector.

77 FR 19300 - National Infrastructure Advisory Council

Science.gov (United States)

2012-03-30

... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2012-0012] National Infrastructure Advisory... an open Federal Advisory Committee meeting. SUMMARY: The National Infrastructure Advisory Council... business. For additional information, please consult the NIAC Web site, www.dhs.gov/NIAC , or contact the...

DLVM: A modern compiler infrastructure for deep learning systems

OpenAIRE

Wei, Richard; Schwartz, Lane; Adve, Vikram

2017-01-01

Deep learning software demands reliability and performance. However, many of the existing deep learning frameworks are software libraries that act as an unsafe DSL in Python and a computation graph interpreter. We present DLVM, a design and implementation of a compiler infrastructure with a linear algebra intermediate representation, algorithmic differentiation by adjoint code generation, domain-specific optimizations and a code generator targeting GPU via LLVM. Designed as a modern compiler ...

Considerations on Optimal Financial Invest ment into Infrastructural Facilities

Institute of Scientific and Technical Information of China (English)

无

2002-01-01

The enlargement of government's investment into infrastructural construction is both a help medicine curing economic contraction and an effective measure to accumulate long-term economic growth.. However, the investment by finance into infrastructure also has a problem of optimization and reasonable selection. In view of market economic requirements, the policy direction of financial investment into infrastructural industries must be doing something at the expense of some other things. In the process of the adjustment and optimization of economic structure, state financial investment into infrastructural facilities has to first of all solve the problem of delimitating the best fields and selecting trades. As to the infrastructure facilities producing and selling pure public products, the development must be made by financial investment;As to the production fields of subpublic products, finance should ensure reasonable investment; As to the infrastructural facilities of pure privite production, finance should completely, in principle, pull out and let market supply. On this basis, selections should be made on best capital soureces and investment ways. The capital sources should be mainly from tax and regulational income and direct investment may be made. As to the production fields of most subpublic production, the best capital sources are national debt income and indirect investment may be made. In addition, the optimization of financial investment into infrastructural facilities must reform the managerial system of infrastructural facilities and raise investment efficiency. Only by scientifically selecting and arranging the financing ways and managerial system in investment fields,can the maximum economic efficiency and social welfare results be realized in carrying out financial investment into infrastructural facilities.

Development of Bioinformatics Infrastructure for Genomics Research.

Science.gov (United States)

Mulder, Nicola J; Adebiyi, Ezekiel; Adebiyi, Marion; Adeyemi, Seun; Ahmed, Azza; Ahmed, Rehab; Akanle, Bola; Alibi, Mohamed; Armstrong, Don L; Aron, Shaun; Ashano, Efejiro; Baichoo, Shakuntala; Benkahla, Alia; Brown, David K; Chimusa, Emile R; Fadlelmola, Faisal M; Falola, Dare; Fatumo, Segun; Ghedira, Kais; Ghouila, Amel; Hazelhurst, Scott; Isewon, Itunuoluwa; Jung, Segun; Kassim, Samar Kamal; Kayondo, Jonathan K; Mbiyavanga, Mamana; Meintjes, Ayton; Mohammed, Somia; Mosaku, Abayomi; Moussa, Ahmed; Muhammd, Mustafa; Mungloo-Dilmohamud, Zahra; Nashiru, Oyekanmi; Odia, Trust; Okafor, Adaobi; Oladipo, Olaleye; Osamor, Victor; Oyelade, Jellili; Sadki, Khalid; Salifu, Samson Pandam; Soyemi, Jumoke; Panji, Sumir; Radouani, Fouzia; Souiai, Oussama; Tastan Bishop, Özlem

2017-06-01

Although pockets of bioinformatics excellence have developed in Africa, generally, large-scale genomic data analysis has been limited by the availability of expertise and infrastructure. H3ABioNet, a pan-African bioinformatics network, was established to build capacity specifically to enable H3Africa (Human Heredity and Health in Africa) researchers to analyze their data in Africa. Since the inception of the H3Africa initiative, H3ABioNet's role has evolved in response to changing needs from the consortium and the African bioinformatics community. H3ABioNet set out to develop core bioinformatics infrastructure and capacity for genomics research in various aspects of data collection, transfer, storage, and analysis. Various resources have been developed to address genomic data management and analysis needs of H3Africa researchers and other scientific communities on the continent. NetMap was developed and used to build an accurate picture of network performance within Africa and between Africa and the rest of the world, and Globus Online has been rolled out to facilitate data transfer. A participant recruitment database was developed to monitor participant enrollment, and data is being harmonized through the use of ontologies and controlled vocabularies. The standardized metadata will be integrated to provide a search facility for H3Africa data and biospecimens. Because H3Africa projects are generating large-scale genomic data, facilities for analysis and interpretation are critical. H3ABioNet is implementing several data analysis platforms that provide a large range of bioinformatics tools or workflows, such as Galaxy, the Job Management System, and eBiokits. A set of reproducible, portable, and cloud-scalable pipelines to support the multiple H3Africa data types are also being developed and dockerized to enable execution on multiple computing infrastructures. In addition, new tools have been developed for analysis of the uniquely divergent African data and for

LLVM Infrastructure and Tools Project Summary

Energy Technology Data Exchange (ETDEWEB)

McCormick, Patrick Sean [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

2017-11-06

This project works with the open source LLVM Compiler Infrastructure (http://llvm.org) to provide tools and capabilities that address needs and challenges faced by ECP community (applications, libraries, and other components of the software stack). Our focus is on providing a more productive development environment that enables (i) improved compilation times and code generation for parallelism, (ii) additional features/capabilities within the design and implementations of LLVM components for improved platform/performance portability and (iii) improved aspects related to composition of the underlying implementation details of the programming environment, capturing resource utilization, overheads, etc. -- including runtime systems that are often not easily addressed by application and library developers.

CIMS: A FRAMEWORK FOR INFRASTRUCTURE INTERDEPENDENCY MODELING AND ANALYSIS

Energy Technology Data Exchange (ETDEWEB)

Donald D. Dudenhoeffer; May R. Permann; Milos Manic

2006-12-01

Today’s society relies greatly upon an array of complex national and international infrastructure networks such as transportation, utilities, telecommunication, and even financial networks. While modeling and simulation tools have provided insight into the behavior of individual infrastructure networks, a far less understood area is that of the interrelationships among multiple infrastructure networks including the potential cascading effects that may result due to these interdependencies. This paper first describes infrastructure interdependencies as well as presenting a formalization of interdependency types. Next the paper describes a modeling and simulation framework called CIMS© and the work that is being conducted at the Idaho National Laboratory (INL) to model and simulate infrastructure interdependencies and the complex behaviors that can result.

The Essential Dynamics of Information Infrastructures

DEFF Research Database (Denmark)

Henningsson, Stefan; Hanseth, Ole

2011-01-01

This paper inquires into the complexities of contemporary IT solutions based on a case study of the EU’s eCustoms initiatives using Manuel DeLanda’s Assemblage Theory. Technological innovations have enabled information infrastructures with dramatically increased number and heterogeneity of included...... components, and their dynamic and unexpected interactions. Unfortunately, lack of understanding of how the increasing complexity influences development initiatives is hampering effective information infrastructure development. Assemblage Theory can be seen as holistic synthesis of previous research streams...... seeking to explain how information infrastructures evolve in social contexts. Accordingly, in this paper it helps us getting a holistic grasp of the complexity of contemporary IT solutions and the “essence” of their dynamics. Through Assemblage Theory we explain how the European eCustoms information...

Study on Urban Infrastructure Development Financing in China(Ⅱ)

Institute of Scientific and Technical Information of China (English)

2009-01-01

<正>4.Typical modes of infrastructure financing in China After summarizing the general situations of infrastructure financing in China,further analyses will be made on several typical modes of infrastructure financing on the basis of the interviews,surveys,and data collections in certain Chinese cities.

Natural language processing: an introduction.

Science.gov (United States)

Nadkarni, Prakash M; Ohno-Machado, Lucila; Chapman, Wendy W

2011-01-01

To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design. This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art. We describe the historical evolution of NLP, and summarize common NLP sub-problems in this extensive field. We then provide a synopsis of selected highlights of medical NLP efforts. After providing a brief description of common machine-learning approaches that are being used for diverse NLP sub-problems, we discuss how modern NLP architectures are designed, with a summary of the Apache Foundation's Unstructured Information Management Architecture. We finally consider possible future directions for NLP, and reflect on the possible impact of IBM Watson on the medical field.

Mastering Microsoft Azure infrastructure services

CERN Document Server

Savill, John

2015-01-01

Understand, create, deploy, and maintain a public cloud using Microsoft Azure Mastering Microsoft Azure Infrastructure Services guides you through the process of creating and managing a public cloud and virtual network using Microsoft Azure. With step-by-step instruction and clear explanation, this book equips you with the skills required to provide services both on-premises and off-premises through full virtualization, providing a deeper understanding of Azure's capabilities as an infrastructure service. Each chapter includes online videos that visualize and enhance the concepts presented i

Assessing Vulnerabilities, Risks, and Consequences of Damage to Critical Infrastructure

International Nuclear Information System (INIS)

Suski, N.; Wuest, C.

2011-01-01

Since the publication of 'Critical Foundations: Protecting America's Infrastructure,' there has been a keen understanding of the complexity, interdependencies, and shared responsibility required to protect the nation's most critical assets that are essential to our way of life. The original 5 sectors defined in 1997 have grown to 18 Critical Infrastructures and Key Resources (CIKR), which are discussed in the 2009 National Infrastructure Protection Plan (NIPP) and its supporting sector-specific plans. The NIPP provides the structure for a national program dedicated to enhanced protection and resiliency of the nation's infrastructure. Lawrence Livermore National Laboratory (LLNL) provides in-depth, multi-disciplinary assessments of threat, vulnerability, and consequence across all 18 sectors at scales ranging from specific facilities to infrastructures spanning multi-state regions, such as the Oil and Natural Gas (ONG) sector. Like many of the CIKR sectors, the ONG sector is comprised of production, processing, distribution, and storage of highly valuable and potentially dangerous commodities. Furthermore, there are significant interdependencies with other sectors, including transportation, communication, finance, and government. Understanding the potentially devastating consequences and collateral damage resulting from a terrorist attack or natural event is an important element of LLNL's infrastructure security programs. Our work began in the energy sector in the late 1990s and quickly expanded other critical infrastructure sectors. We have performed over 600 physical assessments with a particular emphasis on those sectors that utilize, store, or ship potentially hazardous materials and for whom cyber security is important. The success of our approach is based on building awareness of vulnerabilities and risks and working directly with industry partners to collectively advance infrastructure protection. This approach consists of three phases: The Pre

Financing Trans-European Energy Infrastructures - Past, Present and Perspectives

International Nuclear Information System (INIS)

Hirschhausen, Christian von

2011-01-01

The transformation of the European energy system towards a low carbon industry requires substantial investment and financing. According to the Energy Infrastructure Package (EIP), around one trillion euros must be invested in the European energy system until 2020. Out of the euro 200 billion required investment for transmission networks, only half of the capital will be provided by markets. This leaves a financial gap of ca. euro 100 bn. and poses a question on the EU role in financing European energy infrastructures. This policy paper by Christian Von Hirschhausen focuses on the future financing of trans-European energy infrastructures. After providing an overview of the long-term infrastructure needs and of the various instruments that currently exist to finance these infrastructures, the author discusses various aspects related with the planning and financing of cross border energy infrastructures with the help of a case study: the North Sea Grid Project. On the basis of the North Sea example, he highlights the importance of adopting a regulatory approach balancing European and Member States' interests as well as of streamlining and expanding the EU financial support to sustainable energy infrastructures

Implementation of green infrastructure concept in Citarum Watershed

Science.gov (United States)

Maryati, Sri; Humaira, An Nisaa'Siti

2017-03-01

Green infrastructure has several benefits compared to grey infrastructure in term of environmental services and sustainability, such as reducing energy consumption, improving air quality, providing carbon sequestration, and increasing property values. Nevertheless in practice, the implementation of the concept in Indonesia is still limited. Implementation of the certain concept has to be guided in planning document. In this paper, green infrastructure concept in the current spatial plan and other planning documents is assessed. The purpose of this research is to figure out how far the green infrastructure concept is integrated into planning system, based on the analysis of planning documents in Citarum Watershed and expert interviews with local stakeholders. Content analysis method is used to analyze the documents and result of interview. The result shows that green infrastructure concept has not been accommodated in spatial plan or other planning documents widely. There are some challenges in implementing the concept including reward and punishment system (incentive and disincentive), coordination, and lack of human resources.

Expecting the Unexpected: Towards Robust Credential Infrastructure

Science.gov (United States)

Xu, Shouhuai; Yung, Moti

Cryptographic credential infrastructures, such as Public key infrastructure (PKI), allow the building of trust relationships in electronic society and electronic commerce. At the center of credential infrastructures is the methodology of digital signatures. However, methods that assure that credentials and signed messages possess trustworthiness and longevity are not well understood, nor are they adequately addressed in both literature and practice. We believe that, as a basic engineering principle, these properties have to be built into the credential infrastructure rather than be treated as an after-thought since they are crucial to the long term success of this notion. In this paper we present a step in the direction of dealing with these issues. Specifically, we present the basic engineering reasoning as well as a model that helps understand (somewhat formally) the trustworthiness and longevity of digital signatures, and then we give basic mechanisms that help improve these notions.

A technological infrastructure to sustain Internetworked Enterprises

Science.gov (United States)

La Mattina, Ernesto; Savarino, Vincenzo; Vicari, Claudia; Storelli, Davide; Bianchini, Devis

In the Web 3.0 scenario, where information and services are connected by means of their semantics, organizations can improve their competitive advantage by publishing their business and service descriptions. In this scenario, Semantic Peer to Peer (P2P) can play a key role in defining dynamic and highly reconfigurable infrastructures. Organizations can share knowledge and services, using this infrastructure to move towards value networks, an emerging organizational model characterized by fluid boundaries and complex relationships. This chapter collects and defines the technological requirements and architecture of a modular and multi-Layer Peer to Peer infrastructure for SOA-based applications. This technological infrastructure, based on the combination of Semantic Web and P2P technologies, is intended to sustain Internetworked Enterprise configurations, defining a distributed registry and enabling more expressive queries and efficient routing mechanisms. The following sections focus on the overall architecture, while describing the layers that form it.

Smart rail infrastructure, maintenance and life cycle costs

Directory of Open Access Journals (Sweden)

Mihai NICULESCU

2014-10-01

Full Text Available This paper discusses smart railway infrastructure systems. The meaning of “smart” is described followed by a discussion on the benefits of the use of smart infrastructure. Some key components of smart infrastructure, few examples and case studies are presented. Our analysis suggests that the implementation of a smart system may well lead to energy savings of 25%, therefore smart systems should be implemented in larger scale.

77 FR 59203 - Critical Infrastructure Partnership Advisory Council (CIPAC)

Science.gov (United States)

2012-09-26

... Infrastructure Partnership Advisory Council. [FR Doc. 2012-23666 Filed 9-25-12; 8:45 am] BILLING CODE 9910-9P-P ... DEPARTMENT OF HOMELAND SECURITY [Docket No. DHS-2012-0051] Critical Infrastructure Partnership... meeting. SUMMARY: The Critical Infrastructure Partnership Advisory Council (CIPAC) Plenary Meeting will be...

Investment in Infrastructure and the Growth of Entrepreneurship in ...

African Journals Online (AJOL)

This article was designed to examine the link between investment in infrastructure and the growth of entrepreneurship in Nigeria. The primary objectives of the work include to assess the relevance of infrastructure in promoting entrepreneurship and entrepreneurial activities, the stock and quality of infrastructure in the ...

appraisal of key performance indicators on road infrastructure

African Journals Online (AJOL)

HOD

, service ... the performance management system that construction ... milestones or components of performance measures ... relation to transportation values in using performance ... success of delivery of services and other endeavours in.

Risk and Interdependencies in Critical Infrastructures A Guideline for Analysis

CERN Document Server

Utne, Ingrid; Vatn, Jørn

2012-01-01

Today’s society is completely dependent on critical networks such as  water supply, sewage, electricity, ICT and transportation. Risk and vulnerability analyses are needed to grasp the impact of threats and hazards. However, these become quite complex as there are strong interdependencies both within and between infrastructure systems. Risk and Interdependencies in Critical Infrastructures: A  guideline for analysis provides methods for analyzing risks and interdependencies of critical infrastructures.  A number of analysis approaches are described and are adapted to each of these infrastructures. Various approaches are also revised, and all are supported by several examples and illustrations. Particular emphasis is given to the analysis of various interdependencies that often exist between the infrastructures.  Risk and Interdependencies in Critical Infrastructures: A  guideline for analysis provides a good tool to identify the hazards that are threatening your infrastructures, and will enhance the un...

Language Convergence Infrastructure

NARCIS (Netherlands)

V. Zaytsev (Vadim); J.M. Fernandes; R. Lämmel (Ralf); J.M.W. Visser (Joost); J. Saraiva

2011-01-01

htmlabstractThe process of grammar convergence involves grammar extraction and transformation for structural equivalence and contains a range of technical challenges. These need to be addressed in order for the method to deliver useful results. The paper describes a DSL and the infrastructure behind

Aluminium in Infrastructures

NARCIS (Netherlands)

Maljaars, J.

2016-01-01

Aluminium alloys are used in infrastructures such as pedestrian bridges or parts of it such as handrail. This paper demonstrates that aluminium alloys are in principle also suited for heavy loaded structures, such as decks of traffic bridges and helicopter landing platforms. Recent developments in