bluuebunny/crossref_metadata_2025 huggingface dataset:
CPU/GPU COMPUTING FOR AN IMPLICIT MULTI-BLOCK COMPRESSIBLE NAVIER-STOKES SOLVER ON HETEROGENEOUS PLATFORM
Authors: DENG LIANG , BAI HANLI , WANG FANG , XU QINGXIN
Published: June 2016

CPU/GPU computing allows scientists to tremendously accelerate their numerical codes. In this paper, we port and optimize a double precision alternating direction implicit (ADI) solver for three-dimensional compressible Navier-Stokes equations from our in-house Computational Fluid Dynamics (CFD) software on heterogeneous platform. First, we implement a full GPU version of the ADI solver to remove a lot of redundant data transfers between CPU and GPU, and then design two fine-grain schemes, namely “one-thread-one-point” and “one-thread-one-line”, to maximize the performance. Second, we present a dual-level parallelization scheme using the CPU/GPU collaborative model to exploit the computational resources of both multi-core CPUs and many-core GPUs within the heterogeneous platform. Finally, considering the fact that memory on a single node becomes inadequate when the simulation size grows, we present a tri-level hybrid programming pattern MPI-OpenMP-CUDA that merges fine-grain parallelism using OpenMP and CUDA threads with coarse-grain parallelism using MPI for inter-node communication. We also propose a strategy to overlap the computation with communication using the advanced features of CUDA and MPI programming. We obtain speedups of 6.0 for the ADI solver on one Tesla M2050 GPU in contrast to two Xeon X5670 CPUs. Scalability tests show that our implementation can offer significant performance improvement on heterogeneous platform.
NUMERICAL STUDY OF GAS-PHASE FLOW IN A CYCLONE SEPARATOR
Authors: SHI YA-PING , QU BIAO , HUANG SHAN , NIU XIAO-DONG
Published: June 2016

To investigate separation efficiency of a cyclone separator at different operating parameters, in this paper we use Fluent software to numerically study the three dimensional gas-solid two-phase flows in the cyclone separator. The present work mainly consists four parts. Firstly we investigates the accuracy of different turbulent models including the standard k-[Formula: see text] model, RNG k-[Formula: see text] model, Realizable k-[Formula: see text] model and Reynolds stress equation model (RSM), and finds that the RSM turbulence model gives a good comparison between the numerical results and the experimental results. Secondly, the gas phase flow rate, pressure, and turbulent distribution in the cyclone separator are explored numerically in detail with the RSM model. Thirdly, on the base of the gas flow results, gas-solid two phase flows in the cyclone separator are studied by coupling the random trajectory model in the Lagrangian coordinates so that the particle trajectories in separator are displayed. Finally, effects of particle size and velocity at the cyclone separator inlet on the separation efficiency are analyzed. Numerical results show that when the particle velocity is higher and particle size is larger at the inlet, the separation efficiency is better. However, when the particle velocity and size approach their threshold values, the separation efficiency will not change.
AERODYNAMIC CHARACTERISTIC OF THE ACTIVE COMPLIANT TRAILING EDGE CONCEPT
Authors: NIE RUI , QIU JINHAO , JI HONGLI , LI DAWEI
Published: June 2016

This paper introduces a novel Morphing Wing structure known as the Active Compliant Trailing Edge (ACTE). ACTE structures are designed using the concept of “distributed compliance” and wing skins of ACTE are fabricated from high-strength fiberglass composites laminates. Through the relative sliding between upper and lower wing skins which are connected by a linear guide pairs, the wing is able to achieve a large continuous deformation. In order to present an investigation about aerodynamics and noise characteristics of ACTE, a series of 2D airfoil analyses are established. The aerodynamic characteristics between ACTE and conventional deflection airfoil are analyzed and compared, and the impacts of different ACTE structure design parameters on aerodynamic characteristics are discussed. The airfoils mentioned above include two types (NACA0012 and NACA64A005.92). The computing results demonstrate that: compared with the conventional plane flap airfoil, the morphing wing using ACTE structures has the capability to improve aerodynamic characteristic and flow separation characteristic. In order to study the noise level of ACTE, flow field analysis using LES model is done to provide noise source data, and then the FW-H method is used to get the far field noise levels. The simulation results show that: compared with the conventional flap/aileron airfoil, the ACTE configuration is better to suppress the flow separation and lower the overall sound pressure level.
CALCULATION OF TAKEOFF AND LANDING PERFORMANCE UNDER DIFFERENT ENVIRONMENTS
Authors: ZHU YAJUAN , WANG JIANGFENG , CHEN YONGLIANG , WU YIZHAO
Published: June 2016

The takeoff and the landing of an aircraft are the most dangerous phases of flight, so the study of takeoff performance and landing performance is of great importance for aircraft design and safety. In the paper, a high-precision numerical integration algorithm for evaluating takeoff and landing performance is developed, which establishes and solves the equations of dynamics during takeoff and landing process. The proposed method is capable of calculating takeoff and landing performance under different environments. To verify the current approach, all-engine operating takeoff distance, one engine failure takeoff distance, takeoff stop distance and landing distance of a certain type of plane with four engines are analyzed. It shows that the developed calculation method is reliable and effective. Based on this algorithm, a detailed analysis of the main factors affecting the takeoff and landing performance is given. The influences of altitude, temperature, takeoff and landing weight and wind speed are analyzed. Through theoretical derivation and examples verification, the proposed method will be reference for the study of takeoff and landing performance.
AERODYNAMIC MODELING OF OSCILLATING WING IN HYPERSONIC FLOW: A NUMERICAL STUDY
Authors: ZHU JIAN , HOU YING-YU , JI CHEN , LIU ZI-QIANG
Published: June 2016

Various approximations to unsteady aerodynamics are examined for the unsteady aerodynamic force of a pitching thin double wedge airfoil in hypersonic flow. Results of piston theory, Van Dyke’s second-order theory, Newtonian impact theory, and CFD method are compared in the same motion and Mach number effects. The results indicate that, for this thin double wedge airfoil, Newtonian impact theory is not suitable for these Mach number, while piston theory and Van Dyke’s second-order theory are in good agreement with CFD method for Ma<7.
THE MODELING ANALYSIS OF HUANGSHAN TOURISM DATA
Authors: HU SHANFENG , YAN XINHU , ZHU HONGBING
Published: June 2016

Tourism is the major industry in Huangshan city. This paper analyzes time series of tourism data to Huangshan from 2000 to 2013. The Yearly data set comprises the total arrivals of tourists, total income, Urban Resident Disposable Income Per Capital and Net Income Per Peasant. A mathematical model which is based on the binomial approximation and inverse quadratic radial basis function (RBF) is set up to model the tourist arrivals. The total income and urban resident disposable income per capital and net income per peasant are also modeled. It is shown that the established mathematical model can be used to forecast some tourism information and achieve a good management for Huangshan tourism.
SHOCK EXCURSION IN TRANSONIC CONVEX-CORNER FLOWS
Authors: CHUNG KUNG-MING , CHANG PO-HSIUNG , CHANG KEH-CHIN
Published: June 2016

A typical feature on a transonic airfoil is associated with a quasi-normal shock on the upper surface. When a shock is strong enough, development of a separation bubble changes the flowfield significantly. High intensity of pressure fluctuations is associated with unsteady shock wave. An experimental study was conducted to investigate transonic convex-corner flows, including single- and round-convex corners. Peak pressure fluctuations and zero-crossing frequency are associated with incoming Mach number, total turning angle, and separation length. In the cases of R100 and R200, the level of zero-crossing frequency decreases with increasing turning angle as observed in the single convex-corner flows. An increase in the level of pressure fluctuations corresponds to lower zero-cross frequency. In the cases of R300, there is a roughly constant level of surface pressure fluctuations or the variation of pressure fluctuations with the turning angle is less significant. The zero-crossing frequency would be independent of turning angle in the cases of R300.
VELOCITY MEASUREMENTS OF TURBULENT WAKE FLOW OVER A CIRCULAR CYLINDER
Authors: SHIH CHANG-LUNG , CHEN WEI-CHENG , CHANG KEH-CHIN , WANG MUH-RONG
Published: June 2016

There are two general concerns in the velocity measurements of turbulence. One is the temporal characteristics which governs the turbulent mixing process. Turbulence is rotational and is characterized by high levels of fluctuating vorticity. In order to obtain the information of vorticity dynamics, the spatial characteristics is the other concern. These varying needs can be satisfied by using a variety of diagnostic techniques such as invasive physical probes and non-invasive optical instruments. Probe techniques for the turbulent measurements are inherently simple and less expensive than optical methods. However, the presence of a physical probe may alter the flow field, and velocity measurements usually become questionable when probing recirculation zones. The non-invasive optical methods are mostly made of the foreign particles (or seeding) instead of the fluid flow and are, thus, of indirect method. The difference between the velocities of fluid and foreign particles is always an issue to be discussed particularly in the measurements of complicated turbulent flows. Velocity measurements of the turbulent wake flow over a circular cylinder will be made by using two invasive instruments, namely, a cross-type hot-wire anemometry (HWA) and a split-fiber hot-film anemometry (HFA), and a non-invasive optical instrument, namely, particle image velocimetry (PIV) in this study. Comparison results show that all three employed diagnostic techniques yield similar measurements in the mean velocity while somewhat deviated results in the root-mean-squared velocity, particularly for the PIV measurements. It is demonstrated that HFA possesses more capability than HWA in the flow measurements of wake flow. Wake width is determined in terms of either the flatness factor or shear-induced vorticity. It is demonstrated that flow data obtained with the three employed diagnostic techniques are capable of yielding accurate determination of wake width.
ENERGY CONVERSION FROM SALINITY GRADIENT USING MICROCHIP WITH NAFION MEMBRANE
Authors: CHANG CHE-RONG , YEH CHING-HUA , YEH HUNG-CHUN , YANG RUEY-JEN
Published: June 2016

When a concentrated salt solution and a diluted salt solution are separated by an ion-selective membrane, cations and anions would diffuse at different rates depending on the ion selectivity of the membrane. The difference of positive and negative charges at both ends of the membrane would produce a potential, called the diffusion potential. Thus, electrical energy can be converted from the diffusion potential through reverse electrodialysis. This study demonstrated the fabrication of an energy conversion microchip using the standard micro-electromechanical technique, and utilizing Nafion junction as connecting membrane, which was fabricated by a surface patterned process. Through different salinity gradient of potassium chloride solutions, we experimentally investigated the diffusion potential and power generation from the microchip, and the highest value measured was 135 mV and 339 pW, respectively. Furthermore, when the electrolyte was in pH value of 3.8, 5.6, 10.3, the system exhibited best performance at pH value of 10.3; whereas, pH value of 3.8 yielded the worst.
Gaining insight into corrosion processes from numerical simulations of an integrated iron-claystone experiment
Authors: Bildstein Olivier , Lartigue Jean-Éric , Schlegel Michel L. , Bataillon Christian , Cochepin Benoît , Munier Isabelle , Michau Nicolas
Published: June 2016

Numerical simulations concerning iron–clay interactions in the conditions of an integrated experiment were conducted within a Callovo-Oxfordian claystone block at 90°C for 2 years. The calculations aim at determining the configurations and the parameters for which the simulation reproduce the mineral paragenesis observed at the end of the experiment. This paragenesis suggests that a thin magnetite layer precipitates at the surface of the corroding iron and dissolves on the claystone side to promote precipitation of Fe-silicate and Fe-carbonate minerals. The claystone is also altered close to the interface with iron via a significant precipitation of a Fe-carbonate mineral.

The results obtained using the coupled reactive transport code Crunchflow show that adjusting both the kinetics of magnetite dissolution/precipitation and the properties of the corroded layer (considered as a diffusive barrier) was required in order: (i) to model the destabilization of the magnetite layer formed at the original iron–claystone interface early in the corrosion process and the precipitation of other iron-bearing minerals; and (ii) to isolate the chemical conditions at the iron surface from the conditions in the clay environment in order to favour magnetite precipitation at the iron surface. With these assumptions, the model closely reproduced the mineral paragenesis observed in the experiment.
The gas permeability, breakthrough behaviour and re-sealing ability of Czech Ca–Mg bentonite
Authors: Smutek Jan , Hausmannova Lucie , Svoboda Jiri
Published: June 2016

The study's objectives were to test the gas permeability of unsaturated compacted bentonite, the gas-breakthrough behaviour of saturated bentonite, and the re-sealing ability compared with the material's dry density, hydraulic conductivity and swelling pressure. During the project's pilot phase, a series of laboratory experiments were conducted on samples of two Czech Ca–Mg bentonites (Bentonite 75 and Cerny Vrch). The testing procedure, employing repeated hydration and gas-breakthrough test phases, simulated conditions within deep geological repositories for radioactive waste, wherein the buffer will be progressively hydrated from the surrounding host rock and loaded with pressure exerted by gases created within the repository.

It was found that the gas permeability of the bentonites tested was affected by dry density and, as with the two materials (FEBEX and MX-80) used for comparison, it correlated well with the accessible void ratio. Gas-breakthrough tests revealed correlations between time to breakthrough and both dry density and sample height. The recorded repeated test breakthrough times on the same samples varied, which implies that the pathways created are complex and differ for repeated gas-injection cycles. However, no systematic deterioration in sample properties was detected, thus indicating the extensive re-sealing ability of the materials tested.
Regional aquifer hydrogeochemistry in the confined aquifer system below the Boom Clay (NE Belgium): data analysis and modelling
Authors: Vandersteen K. , Leterme B. , Gedeon M.
Published: June 2016

Geochemical data from the deep aquifer system below the Boom Clay in NE Belgium have been collected and reinterpreted. The data were obtained between 1980 and 2014 within the framework of radioactive waste disposal studies. Currently, groundwater in the deep aquifer system mainly ranges between NaHCO
3
type and NaCl type. Because of the low groundwater velocity in this aquifer system, re-equilibration with the mineralogical composition of the host formations generally occurs. The main geochemical indicators point out that the current formation waters are a mixture between the original saline marine porewaters and freshwater recharge. SE–NW gradients of increasing ion concentrations are observed and can be explained in agreement with the pattern of natural groundwater flow. Calcite dissolution and cation exchange are still ongoing in this freshening aquifer system. A low sulphate content in the deep aquifer system indicates sulphate reduction associated with organic matter degradation. Inverse modelling along a flow path using PHREEQC generally confirms the reactions that have been derived in the data analysis.
BGP security in partial deployment
Authors: Lychev Robert , Goldberg Sharon , Schapira Michael
Published: June 2016

As the rollout of secure route origin authentication with the RPKI slowly gains traction among network operators, there is a push to standardize secure path validation for BGP (
i.e.,
S*BGP: S-BGP, soBGP, BGPSEC, etc.). Origin authentication already does much to improve routing security. Moreover, the transition to S*BGP is expected to be long and slow, with S*BGP coexisting in "partial deployment" alongside BGP for a long time. We therefore use theoretical and experimental approach to study the security benefits provided by partially-deployed S*BGP, vis-a-vis those already provided by origin authentication. Because routing policies have a profound impact on routing security, we use a survey of 100 network operators to find the policies that are likely to be most popular during partial S*BGP deployment. We find that S*BGP provides only meagre benefits over origin authentication when these popular policies are used. We also study the security benefits of other routing policies, provide prescriptive guidelines for partially-deployed S*BGP, and show how interactions between S*BGP and BGP can introduce new vulnerabilities into the routing system.
Trinocular
Authors: Quan Lin , Heidemann John , Pradkin Yuri
Published: June 2016

Natural and human factors cause Internet outages---from big events like Hurricane Sandy in 2012 and the Egyptian Internet shutdown in Jan. 2011 to small outages every day that go unpublicized. We describe Trinocular, an outage detection system that uses active probing to understand reliability of edge networks. Trinocular is principled: deriving a simple model of the Internet that captures the information pertinent to outages, and populating that model through long-term data, and learning current network state through ICMP probes. It is parsimonious, using Bayesian inference to determine how many probes are needed. On average, each Trinocular instance sends fewer than 20 probes per hour to each /24 network block under study, increasing Internet "background radiation" by less than 0.7%. Trinocular is also predictable and precise: we provide known precision in outage timing and duration. Probing in rounds of 11 minutes, we detect 100% of outages one round or longer, and estimate outage duration within one-half round. Since we require little traffic, a single machine can track 3.4M /24 IPv4 blocks, all of the Internet currently suitable for analysis. We show that our approach is significantly more accurate than the best current methods, with about one-third fewer false conclusions, and about 30% greater coverage at constant accuracy. We validate our approach using controlled experiments, use Trinocular to analyze two days of Internet outages observed from three sites, and re-analyze three years of existing data to develop trends for the Internet.
Towards an elastic distributed SDN controller
Authors: Dixit Advait , Hao Fang , Mukherjee Sarit , Lakshman T.V. , Kompella Ramana
Published: June 2016

Distributed controllers have been proposed for Software Defined Networking to address the issues of scalability and reliability that a centralized controller suffers from. One key limitation of the distributed controllers is that the mapping between a switch and a controller is
statically configured
, which may result in uneven load distribution among the controllers. To address this problem, we propose ElastiCon, an
elastic distributed controller architecture
in which the controller pool is dynamically grown or shrunk according to traffic conditions and the load is dynamically shifted across controllers. We propose a novel switch migration protocol for enabling such load shifting, which conforms with the Openflow standard. We also build a prototype to demonstrate the efficacy of our design.
Towards resource sharing in mobile device clouds
Authors: Mtibaa Abderrahmen , Fahim Afnan , Harras Khaled A. , Ammar Mostafa H.
Published: June 2016

Despite the increased capabilities of mobile devices, mobile application resource requirements can often transcend what can be accomplished on a single device. This has been addressed through several proposals for efficient computation offloading from mobile devices to remote cloud resources or closely located computing resources known as cloudlets. In this paper we consider an environment in which computational offloading is performed among a set of mobile devices. We call this environment a Mobile Device Cloud (MDC). We are interested in MDCs where nodes are {\em highly collaborative}. We develop computational offloading schemes that {\em maximize the lifetime} of the ensemble of mobile devices where we consider the network to be alive as long as no device has depleted its battery. As a secondary contribution in this work, we develop and use an experimentation platform that allows us to evaluate a range of computational models and profiles derived from a realistic testbed. We use this platform as a first step in an evaluation exercise that demonstrates the effectiveness of our computation offloading algorithms in extending the lifetime of an MDC.
Cyber-Physical Co-Simulation Framework for Smart Cells in Scalable Battery Packs
Authors: Steinhorst Sebastian , Kauer Matthias , Meeuw Arne , Narayanaswamy Swaminathan , Lukasiewycz Martin , Chakraborty Samarjit
Published: June 2016

This article introduces a Cyber-physical Co-Simulation Framework (CPCSF) for design and analysis of smart cells that enable scalable battery pack and Battery Management System (BMS) architectures. In contrast to conventional cells in battery packs, where all cells are monitored and controlled centrally, each
smart cell
is equipped with its own electronics in the form of a Cell Management Unit (CMU). The CMU maintains the cell in a safe and healthy operating state, while system-level battery management functions are performed by cooperation of the smart cells via communication. Here, the smart cells collaborate in a self-organizing fashion without a central controller instance. This enables maximum scalability and modularity, significantly simplifying integration of battery packs. However, for this emerging architecture, system-level design methodologies and tools have not been investigated yet. By contrast, components are developed individually and then manually tested in a hardware development platform. Consequently, the systematic design of the hardware/software architecture of smart cells requires a cyber-physical multi-level co-simulation of the network of smart cells that has to include all the components from the software, electronic, electric, and electrochemical domains. This comprises distributed BMS algorithms running on the CMUs, the communication network, control circuitry, cell balancing hardware, and battery cell behavior. For this purpose, we introduce a CPCSF that enables rapid design and analysis of smart cell hardware/software architectures. Our framework is then applied to investigate request-driven active cell balancing strategies that make use of the decentralized system architecture. In an exhaustive analysis on a realistic 21.6kW h Electric Vehicle (EV) battery pack containing 96 smart cells in series, the CPCSF is able to simulate hundreds of balancing runs together with all system characteristics, using the proposed request-driven balancing strategies at highest accuracy within an overall time frame of several hours. Consequently, the presented CPCSF for the first time allows us to quantitatively and qualitatively analyze the behavior of smart cell architectures for real-world applications.
Machine learning techniques for brain signal analysis with applications on seizure detection and brain-computer interfaces
Authors: Wang Boyu
Published: June 2016

Electroencephalographic (EEG) and electrocorticographic (ECoG) data have been widely used for brain signal analysis in the diagnosis of brain diseases and in the field of braincomputer interface (BCI). Our research emphasizes the role of machine learning (ML) techniques in feature extraction and classification of EEG/ECoG signals, where we primarily focus on their applications on epileptic seizure detection and translation of brain activities into control commands for BCI system.
Large-scale hierarchical classification with rare categories and inconsistencies
Authors: Naik Azad , Rangwala Huzefa
Published: June 2016

Structuring data is crucial for managing massive amount of available data. Hierarchy (taxonomy) provides a natural and convenient way to organize the information. It has been extensively used in several domains, such as gene taxonomy for organizing gene sequences, international patent hierarchy for easy browsing and retrieval of patent documents, DMOZ taxonomy for web-pages categorization, and ImageNet database for indexing millions of images according to WordNet hierarchy. Given, a hierarchy containing thousands of classes (categories) and millions of instances (examples), there is an essential need to develop an efficient and automated approaches to categorize unlabeled test instances. This problem is referred to as Hierarchical Classification (HC) task. HC is an important machine learning problem that has been researched and explored extensively in the past few years (Silla Jr & Freitas, 2011).

The popularity of large-scale HC problem is evident from various HC competitions organized in the past few years such as LSHTC
1
, BioASQ
2
and ILSVRC
3
. HC poses several challenges due to the following reasons: (i) Data imbalance with large number of classes having very few positive examples for training (rare categories), (ii) Multi-label classification, (iii) Feature selection, (iv) Inconsistent hierarchy due to domain experts manual design, and (v) Scalability due to large number of examples, features and classes. Several approaches that address these issues individually (or multiple issues together) have been developed over the years (Gopal & Yang, 2013; Babbar et al., 2013), however there are many possibilities of improving the existing methods. Specifically, we have developed the methods for handling rare categories and inconsistent hierarchy problem.
Integrating geographic activity space and social network space to promote healthy lifestyles
Authors: Ye Xinyue , Lee Jay
Published: June 2016

Obesity is the most critical issue in public health today, the proposed project uses mobile technology to gather information from smartphone users among college freshmen so to construct activity space and behavioral patterns of individuals as related to weight changes. College freshmen tend to be living on their own for the first time in their lives. They are in a critical stage of forming life-long behavioral patterns of food consumption and physical activity. Based on the theoretical construct of activity space in time geography and social influence by social networks, the proposed project will integrate individual behavioral patterns into grouped behavioral trends. The research outcomes are expected to assist in better planning of built environment and better designing of intervention programs on college campuses to reduce obesity. Specific aims to be accomplished are (1) to develop cellphone applications (apps) to collect location information and information of the levels of physical activity of the participating students, (2) to analyze individual behavioral patterns by reconstructing activity space of the participating students over the proposed study period, and (3) to statistically model the association between weight changes and behavioral patterns. Expected research outcome will include quantitative and predictive models for the directions and strengths of the association between weight changes and how college freshmen live their lives in areas on and around college campuses.
Gamifying hand physical therapy with intelligent 3D navigation
Authors: Afyouni Imad , Rehman Faizan Ur , Qamar Ahmad , Ahmad Akhlaq , Rahman Mohamed Abdur , Ghani Sohaib , Basalamah Saleh
Published: June 2016

As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing need for intelligent medical technologies, which enable patients to live independently at home. This paper introduces a novel e-Health framework that leverages GIS-based serious games for people with disabilities. This framework consists of a spatio-temporal map-browsing environment augmented with our newly introduced multi-sensory natural user interface. We propose a comprehensive architecture that includes a sensory data manager, a storage layer, an information processing and computational intelligence layer, and a user interface layer. Detailed mathematical modeling as well as mapping methodology to convert different therapy-based hand-gestures into navigational movements within the serious game environment are also presented. Moreover, an Intelligent Game Recommender has been developed for generating optimized navigational routes based on therapeutic gestures. Those routes are tailored to the patient preferences and capabilities. Motion data is stored in a repository throughout the different sessions for offline replaying and advanced analysis; and different indicators are displayed in a live manner. To the best of our knowledge, this is the first GIS-based game recommender framework for online physical therapy. The prototype has been deployed to a disability center. The obtained results and feedback from therapists and patients are encouraging.
ACM SIGSPATIAL 2015 conference report: the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015) Seattle, Washington, USA - November 3-6, 2015
Authors: Gertz Michael , Renz Matthias , Sankaranarayanan Jagan
Published: June 2016

This is the conference report of the 23
rd
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015), held in Seattle, Washington, USA, November 3-6, 2015. This conference was the twenty-third edition in a series of symposia and workshops that began in 1993 with the aim of promoting interdisciplinary discussions among researchers, developers, users, and practitioners and fostering research in all aspects of geographic information systems, especially in relation to novel systems based on geospatial data and knowledge. The conference is the premier annual event of the ACM Special Interest Group on Spatial Information (ACM SIGSPATIAL) and provides a forum for original research contributions covering all conceptual, design, and implementation aspects of geospatial data ranging from applications, user interfaces, and visualization to data storage, query processing, indexing and data mining.
Experimental Study on Detection of Deterioration in Concrete Using Infrared Thermography Technique
Authors: Huh Jungwon , Tran Quang Huy , Lee Jong-Han , Han DongYeob , Ahn Jin-Hee , Yim Solomon
Published: June 2016

Concrete is certainly prone to internal deteriorations or defects during the construction and operating periods. Compared with other nondestructive techniques, infrared thermography can easily detect the subsurface delamination in a very short period of time, but accurately identifying its size and depth in concrete is a very challenging task. In this study, experimental testing was carried out on a concrete specimen having internal delaminations of various sizes and at varying depths. Delaminations at 1 and 2 cm deep showed a good temperature contrast after only 5-minute heating, but delaminations at 3 cm practically identified the value of the temperature contrast from heating of 15 minutes. In addition, the size of the delamination at 3 cm deep could be estimated with a difference of 10% to 28% for 20 minutes of heating. The depth of the delamination was linearly correlated with the increase in its size.
Recurrent Pericarditis, an Unexpected Effect of Adjuvant Interferon Chemotherapy for Malignant Melanoma
Authors: Ashraf Farhan , Marmoush Fady , Shafi Muhammad Ismail , Shah Ashish
Published: June 2016

Drug-induced pericarditis is a well-described cardiac pathology that can result from a variety of medications; however, interferon-mediated pericarditis is extremely rare. We present a case of a young female with recurrent pericarditis due to interferon therapy. The role of interferon in adjuvant chemotherapy is well known and yields good effect, but this case highlights the very uncommon phenomena of interferon induced pericarditis and the significant distress it can cause.
Application of Recursive Subspace Method in Vehicle Lateral Dynamics Model Identification
Authors: Ba Tengyue , Guan Xiqiang , Zhang Jian W. , Wang Sanzhou
Published: June 2016

Modeling of vehicle behavior based on the identification method has received a renewed attention in recent years. In order to improve the linear time-invariant vehicle identification model, a more general identifiable vehicle model structure is proposed, in which time-varying characteristics of vehicle speed and cornering stiffness are taken into consideration. To identify the proposed linear time-varying vehicle model, a well-established data-driven method, named recursive optimized version of predictor-based subspace identification, is introduced. Before vehicle model identification, the influences of four parameters in the subspace algorithm are studied based on pulse input road test. And then a set of practical optimal parameters are chosen and used for the vehicle model identification. Through a series of standard road tests under different maneuvers, the linear time-varying vehicle model can be identified in real-time. It is demonstrated by comparison that the predicted outputs of the proposed vehicle model are much closer to the real vehicle outputs and the model has a wider range of application.
A Rare Cause of Unilateral Central Retinal Vein Occlusion in a Young Patient: Type III Mixed Cryoglobulinemia
Authors: Doguizi Sibel , Sekeroglu Mehmet Ali , Anayol Mustafa Alpaslan , Yilmazbas Pelin
Published: June 2016

Purpose. To report a young male with unilateral central retinal vein occlusion (CRVO) associated with cryoglobulinemia.Case Presentation. A 33-year-old male without any known systemic or ocular disorder was admitted to our clinic with a complaint of visual loss for three days in his left eye. Based on the clinical, laboratory, and ophthalmological assessments, we diagnosed this case as type III mixed cryoglobulinemia with unilateral CRVO with macular edema. For treatment, two intravitreal ranibizumab injections were administered monthly and oral prednisone (64 mg/day) was begun. Subsequently, cryoglobulins became undetectable, macular edema decreased, and the visual acuity improved to 20/32 over an 8-week period. At 24 weeks, the patient’s visual acuity remained 20/32 and no recurrence was observed while the patient was still on prednisone (16 mg/day).Conclusion. Cryoglobulinemia should be considered in the differential diagnosis of the patients with CRVO.
Mapping of Novel QTL Regulating Grain Shattering Using Doubled Haploid Population in Rice (Oryza sativaL.)
Authors: Lee Gyu-Ho , Kang In-Kyu , Kim Kyung-Min
Published: June 2016

The critical evolutionary step during domestication of major cereals was elimination of seed shattering because the easy-to-shatter trait in wild relatives results in a severe reduction in yield. In this study, we analyzed the QTLs associated with shattering employing a high-density genetic map in doubled haploid (DH) population of rice (Oryza sativaL.). A genetic linkage map was generated with 217 microsatellite markers spanning 2082.4 cM and covering 12 rice chromosomes with an average interval of 9.6 cM between markers based on 120 DHLs derived from a cross between Cheongcheong indica type cultivar and Nagdong japonica type cultivar. In the QTL analysis, five QTLs pertaining to the breaking tensile strength (BTS) were detected in 2013 and 2015. Two regions of the QTLs related to BTS on chromosome 1 and chromosome 6 were detected. Several important genes are distributed in 1 Mbp region of the QTL on chromosome 6 and they are related to the formation of abscission layer. We decide to name this QTLqSh6and the candidate genes in theqSh6region can be employed usefully in further research for cloning.
Evaluation of Lymphorrhea and Incidence of Lymphoceles: 4DryField® PH in Radical Retropubic Prostatectomy
Authors: Karsch Johannes-J. , Berthold Martin , Breul Jürgen
Published: June 2016

Purpose. To investigate impact of polysaccharide hemostat 4DryField PH (4DF) applied on lymph node dissection area after radical retropubic prostatectomy (RRP) on lymphorrhea and lymphocele (LC) formation.Methods. 104 consecutive patients underwent RRP, 51 without 4DF treatment (CT-group) and 53 with 4DF treatment (4DF-group). Groups were comparable (age, risk profile, and lymph node numbers). Postoperative drain loss (PDL) and development of early and late LC were analyzed (mean follow-up at 7 months: 100%).Results. PDL was 452.5 ± 634.2 mL without and 308.5 ± 214 mL with 4DF treatment. PDL > 1000 mL only occurred in CT-group (5/51). Overall, 45 LC (26 in CT- versus 19 in the 4DF-group) were diagnosed. At day 8, LC were equally distributed between groups. Incidence of late LC, however, was twice in controls (16/51) versus 4DF-patients (8/53). Symptomatic LC (4 in untreated patients, 2 in 4DF-patients) were treated with percutaneous drainage (duration: 45 days in untreated patients versus 12 days in 4DF-patients).Conclusion. Application of 4DF on lymph node dissection areas lessened total drain loss and significantly lowered high volume drain loss. Furthermore, 4DF reduced frequency of late lymphoceles and lymphoceles requiring treatment by half, as well as duration of percutaneous drainage by more than two-thirds.
Detecting Variation Trends of Temperature and Precipitation for the Dadu River Basin, China
Authors: Wu Ying , Wang Wensheng , Wang Guoqing
Published: June 2016

This study analyzes the variation trends of temperature and precipitation in the Dadu River Basin of China based on observed records from fourteen meteorological stations. The magnitude of trends was estimated using Sen’s linear method while its statistical significance was evaluated using Mann-Kendall’s test. The results of analysis depict increase change from northwest to southeast of annual temperature and precipitation in space. In temporal scale, the annual temperature showed significant increase trend and the annual precipitation showed increase trend. For extreme indices, the trends for temperature are more consistent in the region compared to precipitation. This paper has practical meanings for an effective management of climate risk and provides a foundation for further study of hydrological situation in this river basin.
Interaction between Walking Humans and Structures in Vertical Direction: A Literature Review
Authors: Shahabpoor Erfan , Pavic Aleksandar , Racic Vitomir
Published: June 2016

Realistic simulation of the dynamic effects of walking pedestrians on structures is still a considerable challenge. This is mainly due to the inter- and intrasubject variability of humans and their bodies and difficult-to-predict loading scenarios, including multipedestrian walking traffic and unknown human-structure interaction (HSI) mechanisms. Over the past three decades, several attempts have been made to simulate walking HSI in the lateral direction. However, research into the mechanisms of this interaction in the vertical direction, despite its higher likelihood and critical importance, is fragmented and incoherent. It is, therefore, difficult to apply and codify. This paper critically reviews the efforts to date to simulate walking HSI in the vertical direction and highlights the key areas that need further investigation.
Shotgun Quantitative Proteomic Analysis of Proteins Responding to Drought Stress inBrassica rapaL. (Inbred Line “Chiifu”)
Authors: Kwon Soon-Wook , Kim Mijeong , Kim Hijin , Lee Joohyun
Published: June 2016

Through a comparative shotgun quantitative proteomics analysis inBrassica rapa(inbred line Chiifu), total of 3,009 nonredundant proteins were identified with a false discovery rate of 0.01 in 3-week-old plants subjected to dehydration treatment for 0, 24, and 48 h, plants subjected to drought stress. Ribulose-bisphosphate carboxylases, chlorophyll a/b-binding protein, and light harvesting complex in photosystem II were highly abundant proteins in the leaves and accounted for 9%, 2%, and 4%, respectively, of the total identified proteins. Comparative analysis of the treatments enabled detection of 440 differentially expressed proteins during dehydration. The results of clustering analysis, gene ontology (GO) enrichment analysis, and analysis of composite expression profiles of functional categories for the differentially expressed proteins indicated that drought stress reduced the levels of proteins associated with photosynthesis and increased the levels of proteins involved in catabolic processes and stress responses. We observed enhanced expression of many proteins involved in osmotic stress responses and proteins with antioxidant activities. Based on previously reported molecular functions, we propose that the following five differentially expressed proteins could provide target genes for engineering drought resistance in plants: annexin, phospholipase D delta, sDNA-binding transcriptional regulator, auxin-responsive GH3 family protein, and TRAF-like family protein.
The Effect of Parathion on Red Blood Cell Acetylcholinesterase in the Wistar Rat
Authors: Bunya Naofumi , Sawamoto Keigo , Benoit Hanif , Bird Steven B.
Published: June 2016

Organophosphorus (OP) pesticide poisoning is a significant problem worldwide. Research into new antidotes for these acetylcholinesterase inhibitors, and even optimal doses for current therapies, is hindered by a lack of standardized animal models. In this study, we sought to characterize the effects of the OP pesticide parathion on acetylcholinesterase in a Wistar rat model that included comprehensive medical care.Methods. Male Wistar rats were intubated and mechanically ventilated and then poisoned with between 20 mg/kg and 60 mg/kg of intravenous parathion. Upon developing signs of poisoning, the rats were treated with standard critical care, including atropine, pralidoxime chloride, and midazolam, for up to 48 hours. Acetylcholinesterase activity was determined serially for up to 8 days after poisoning.Results. At all doses of parathion, maximal depression of acetylcholinesterase occurred at 3 hours after poisoning. Acetylcholinesterase recovered to nearly 50% of baseline activity by day 4 in the 20 mg/kg cohort and by day 5 in the 40 and 60 mg/kg cohorts. At day 8, most rats’ acetylcholinesterase had recovered to roughly 70% of baseline. These data should be useful in developing rodent models of acute OP pesticide poisoning.
Neighborhood-Level Poverty at Menarche and Prepregnancy Obesity in African-American Women
Authors: Cassidy-Bushrow Andrea E. , Peters Rosalind M. , Burmeister Charlotte , Bielak Lawrence F. , Johnson Dayna A.
Published: June 2016

Introduction. Menarche is a critical time point in a woman’s reproductive system development; exposures at menarche may influence maternal health. Living in a poorer neighborhood is associated with adult obesity; however, little is known if neighborhood factors at menarche are associated with prepregnancy obesity.Methods. We examined the association of neighborhood-level poverty at menarche with prepregnancy body mass index category in 144 pregnant African-American women. Address at menarche was geocoded to census tract (closest to year of menarche); neighborhood-level poverty was defined as the proportion of residents living under the federal poverty level. Cumulative logistic regression was used to examine the association of neighborhood-level poverty at menarche, in quartiles, with categorical prepregnancy BMI.Results. Before pregnancy, 59 (41%) women were obese. Compared to women in the lowest neighborhood-level poverty quartile, women in the highest quartile had 2.9 [1.2, 6.9] times higher odds of prepregnancy obesity; this was slightly attenuated after adjusting for age, marital status, education, and parity (odds ratio: 2.3 [0.9, 6.3]).Conclusions. Living in a higher poverty neighborhood at menarche is associated with prepregnancy obesity in African-American women. Future studies are needed to better understand the role of exposures in menarche on health in pregnancy.
Design and Implementation of a Chaotic Scheme in Additive White Gaussian Noise Channel
Authors: Al Bassam Nizar , Jerew Oday
Published: June 2016

A new chaotic scheme named Flipped Chaotic On-Off Keying (FCOOK) is proposed for binary transmission. In FCOOK, the low correlation value between the stationary signal and its mirrored version is utilized. Transmitted signal for binary 1 is a chaotic segment added to its time flipped (mirrored) version within one bit duration, while in binary 0, no transmission takes place within the same bit duration. The proposed scheme is compared with the standard chaotic systems: Differential Chaos Shift Keying (DCSK) and Correlation Delay Shift Keying (CDSK). The Bit Error Rate (BER) of FCOOK is studied analytically based on Gaussian approximation method. Results show that the BER performance of FCOOK outperforms DCSK and CDSK in AWGN channel environment and with variousEb/Nolevels. Additionally, FCOOK offers a double bit rate compared with the standard DCSK.
Redox Homeostasis and Cellular Antioxidant Systems: Crucial Players in Cancer Growth and Therapy
Authors: Marengo Barbara , Nitti Mariapaola , Furfaro Anna Lisa , Colla Renata , Ciucis Chiara De , Marinari Umberto Maria , Pronzato Maria Adelaide , Traverso Nicola , Domenicotti Cinzia
Published: June 2016

Reactive oxygen species (ROS) and their products are components of cell signaling pathways and play important roles in cellular physiology and pathophysiology. Under physiological conditions, cells control ROS levels by the use of scavenging systems such as superoxide dismutases, peroxiredoxins, and glutathione that balance ROS generation and elimination. Under oxidative stress conditions, excessive ROS can damage cellular proteins, lipids, and DNA, leading to cell damage that may contribute to carcinogenesis. Several studies have shown that cancer cells display an adaptive response to oxidative stress by increasing expression of antioxidant enzymes and molecules. As a double‐edged sword, ROS influence signaling pathways determining beneficial or detrimental outcomes in cancer therapy. In this review, we address the role of redox homeostasis in cancer growth and therapy and examine the current literature regarding the redox regulatory systems that become upregulated in cancer and their role in promoting tumor progression and resistance to chemotherapy.