bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantitative Retrieval of Organic Soil Properties from Visible Near-Infrared Shortwave Infrared (Vis-NIR-SWIR) Spectroscopy Using Fractal-Based Feature Extraction
Authors: Liu Lanfa , Ji Min , Dong Yunyun , Zhang Rongchung , Buchroithner Manfred
Published: December 2016

Visible and near-infrared diffuse reflectance spectroscopy has been demonstrated to be a fast and cheap tool for estimating a large number of chemical and physical soil properties, and effective features extracted from spectra are crucial to correlating with these properties. We adopt a novel methodology for feature extraction of soil spectroscopy based on fractal geometry. The spectrum can be divided into multiple segments with different step–window pairs. For each segmented spectral curve, the fractal dimension value was calculated using variation estimators with power indices 0.5, 1.0 and 2.0. Thus, the fractal feature can be generated by multiplying the fractal dimension value with spectral energy. To assess and compare the performance of new generated features, we took advantage of organic soil samples from the large-scale European Land Use/Land Cover Area Frame Survey (LUCAS). Gradient-boosting regression models built using XGBoost library with soil spectral library were developed to estimate N, pH and soil organic carbon (SOC) contents. Features generated by a variogram estimator performed better than two other estimators and the principal component analysis (PCA). The estimation results for SOC were coefficient of determination (R2) = 0.85, root mean square error (RMSE) = 56.7 g/kg, the ratio of percent deviation (RPD) = 2.59; for pH: R2 = 0.82, RMSE = 0.49 g/kg, RPD = 2.31; and for N: R2 = 0.77, RMSE = 3.01 g/kg, RPD = 2.09. Even better results could be achieved when fractal features were combined with PCA components. Fractal features generated by the proposed method can improve estimation accuracies of soil properties and simultaneously maintain the original spectral curve shape.
Towards an Integrated Global Land Cover Monitoring and Mapping System
Authors: Herold Martin , See Linda , Tsendbazar Nandin-Erdene , Fritz Steffen
Published: December 2016

Global land cover mapping has evolved in a number of ways over the past two decades including increased activity in the areas of map validation and inter-comparison, which is the main focus of this Special Issue in Remote Sensing. Here we describe the major trends in global land cover mapping that have occurred, followed by recent advances as exemplified by the papers in the Special Issue. Finally, we consider what the future holds for global land cover mapping.
The Potential Impact of Vertical Sampling Uncertainty on ICESat-2/ATLAS Terrain and Canopy Height Retrievals for Multiple Ecosystems
Authors: Neuenschwander Amy , Magruder Lori
Published: December 2016

With a planned launch no later than September 2018, the Ice, Cloud and land Elevation Satellite-2 (ICESat-2) will provide a global distribution of geodetic elevation measurements for both the terrain surface and relative canopy heights. The Advanced Topographic Laser Altimeter System (ATLAS) instrument on-board ICESat-2 is a LiDAR system sensitive to the photon level. The photon-counting technology has many advantages for space-based altimetry, but also has challenges, particularly with delineating the signal from background noise. As such, a current unknown facing the ecosystem community is the performance of ICESat-2 for terrain and canopy height retrievals. This paper aims to provide the science user community of ICESat-2 land/vegetation data products with a realistic understanding of the performance characteristics and potential uncertainties related to the vertical sampling error, which includes the error in the perceived height value and the measurement precision. Terrain and canopy heights from simulated ICESat-2 data are evaluated against the airborne LiDAR ground truth values to provide a baseline performance uncertainty for multiple ecosystems. Simulation results for wooded savanna and boreal forest result in a mean bias error and error uncertainty (precision) for terrain height retrievals at 0.06 m (0.24 m RMSE) and −0.13 m (0.77 m RMSE). In contrast, results over ecosystems with dense vegetation show terrain errors of 1.93 m (1.66 m RMSE) and 2.52 m (3.18 m RMSE), indicating problems extracting terrain height due to diminished ground returns. Simulated top of canopy heights from ICESat-2 underestimated true top of canopy returns for all types analyzed with errors ranging from 0.28 m (1.39 m RMSE) to 1.25 m (2.63 m RMSE). These results comprise a first step in a comprehensive evaluation of ICESat-2 anticipated performance. Future steps will include solar noise impact analysis and investigation into performance discrepancy between visible and near-infrared wavelengths.
Differential GNSS and Vision-Based Tracking to Improve Navigation Performance in Cooperative Multi-UAV Systems
Authors: Vetrella Amedeo , Fasano Giancarmine , Accardo Domenico , Moccia Antonio
Published: December 2016

Autonomous navigation of micro-UAVs is typically based on the integration of low cost Global Navigation Satellite System (GNSS) receivers and Micro-Electro-Mechanical Systems (MEMS)-based inertial and magnetic sensors to stabilize and control the flight. The resulting navigation performance in terms of position and attitude accuracy may not suffice for other mission needs, such as the ones relevant to fine sensor pointing. In this framework, this paper presents a cooperative UAV navigation algorithm that allows a chief vehicle, equipped with inertial and magnetic sensors, a Global Positioning System (GPS) receiver, and a vision system, to improve its navigation performance (in real time or in the post processing phase) exploiting formation flying deputy vehicles equipped with GPS receivers. The focus is set on outdoor environments and the key concept is to exploit differential GPS among vehicles and vision-based tracking (DGPS/Vision) to build a virtual additional navigation sensor whose information is then integrated in a sensor fusion algorithm based on an Extended Kalman Filter. The developed concept and processing architecture are described, with a focus on DGPS/Vision attitude determination algorithm. Performance assessment is carried out on the basis of both numerical simulations and flight tests. In the latter ones, navigation estimates derived from the DGPS/Vision approach are compared with those provided by the onboard autopilot system of a customized quadrotor. The analysis shows the potential of the developed approach, mainly deriving from the possibility to exploit magnetic- and inertial-independent accurate attitude information.
Adaptive Local Spatiotemporal Features from RGB-D Data for One-Shot Learning Gesture Recognition
Authors: Lin Jia , Ruan Xiaogang , Yu Naigong , Yang Yee-Hong
Published: December 2016

Noise and constant empirical motion constraints affect the extraction of distinctive spatiotemporal features from one or a few samples per gesture class. To tackle these problems, an adaptive local spatiotemporal feature (ALSTF) using fused RGB-D data is proposed. First, motion regions of interest (MRoIs) are adaptively extracted using grayscale and depth velocity variance information to greatly reduce the impact of noise. Then, corners are used as keypoints if their depth, and velocities of grayscale and of depth meet several adaptive local constraints in each MRoI. With further filtering of noise, an accurate and sufficient number of keypoints is obtained within the desired moving body parts (MBPs). Finally, four kinds of multiple descriptors are calculated and combined in extended gradient and motion spaces to represent the appearance and motion features of gestures. The experimental results on the ChaLearn gesture, CAD-60 and MSRDailyActivity3D datasets demonstrate that the proposed feature achieves higher performance compared with published state-of-the-art approaches under the one-shot learning setting and comparable accuracy under the leave-one-out cross validation.
Robust and Accurate Vision-Based Pose Estimation Algorithm Based on Four Coplanar Feature Points
Authors: Zhang Zimiao , Zhang Shihai , Li Qiu
Published: December 2016

Vision-based pose estimation is an important application of machine vision. Currently, analytical and iterative methods are used to solve the object pose. The analytical solutions generally take less computation time. However, the analytical solutions are extremely susceptible to noise. The iterative solutions minimize the distance error between feature points based on 2D image pixel coordinates. However, the non-linear optimization needs a good initial estimate of the true solution, otherwise they are more time consuming than analytical solutions. Moreover, the image processing error grows rapidly with measurement range increase. This leads to pose estimation errors. All the reasons mentioned above will cause accuracy to decrease. To solve this problem, a novel pose estimation method based on four coplanar points is proposed. Firstly, the coordinates of feature points are determined according to the linear constraints formed by the four points. The initial coordinates of feature points acquired through the linear method are then optimized through an iterative method. Finally, the coordinate system of object motion is established and a method is introduced to solve the object pose. The growing image processing error causes pose estimation errors the measurement range increases. Through the coordinate system, the pose estimation errors could be decreased. The proposed method is compared with two other existing methods through experiments. Experimental results demonstrate that the proposed method works efficiently and stably.
Underwater Electromagnetic Sensor Networks, Part II: Localization and Network Simulations
Authors: Zazo Javier , Macua Sergio , Zazo Santiago , Pérez Marina , Pérez-Álvarez Iván , Jiménez Eugenio , Cardona Laura , Brito Joaquín , Quevedo Eduardo
Published: December 2016

In the first part of the paper, we modeled and characterized the underwater radio channel in shallowwaters. In the second part,we analyze the application requirements for an underwaterwireless sensor network (U-WSN) operating in the same environment and perform detailed simulations. We consider two localization applications, namely self-localization and navigation aid, and propose algorithms that work well under the specific constraints associated with U-WSN, namely low connectivity, low data rates and high packet loss probability. We propose an algorithm where the sensor nodes collaboratively estimate their unknown positions in the network using a low number of anchor nodes and distance measurements from the underwater channel. Once the network has been self-located, we consider a node estimating its position for underwater navigation communicating with neighboring nodes. We also propose a communication system and simulate the whole electromagnetic U-WSN in the Castalia simulator to evaluate the network performance, including propagation impairments (e.g., noise, interference), radio parameters (e.g., modulation scheme, bandwidth, transmit power), hardware limitations (e.g., clock drift, transmission buffer) and complete MAC and routing protocols. We also explain the changes that have to be done to Castalia in order to perform the simulations. In addition, we propose a parametric model of the communication channel that matches well with the results from the first part of this paper. Finally, we provide simulation results for some illustrative scenarios.
Vision Marker-Based In Situ Examination of Bacterial Growth in Liquid Culture Media
Authors: Kim Kyukwang , Choi Duckyu , Lim Hwijoon , Kim Hyeongkeun , Jeon Jessie
Published: December 2016

The detection of bacterial growth in liquid media is an essential process in determining antibiotic susceptibility or the level of bacterial presence for clinical or research purposes. We have developed a system, which enables simplified and automated detection using a camera and a striped pattern marker. The quantification of bacterial growth is possible as the bacterial growth in the culturing vessel blurs the marker image, which is placed on the back of the vessel, and the blurring results in a decrease in the high-frequency spectrum region of the marker image. The experiment results show that the FFT (fast Fourier transform)-based growth detection method is robust to the variations in the type of bacterial carrier and vessels ranging from the culture tubes to the microfluidic devices. Moreover, the automated incubator and image acquisition system are developed to be used as a comprehensive in situ detection system. We expect that this result can be applied in the automation of biological experiments, such as the Antibiotics Susceptibility Test or toxicity measurement. Furthermore, the simple framework of the proposed growth measurement method may be further utilized as an effective and convenient method for building point-of-care devices for developing countries.
A Novel Probabilistic Data Association for Target Tracking in a Cluttered Environment
Authors: Chen Xiao , Li Yaan , Li Yuxing , Yu Jing , Li Xiaohua
Published: December 2016

The problem of data association for target tracking in a cluttered environment is discussed. In order to improve the real-time processing and accuracy of target tracking, based on a probabilistic data association algorithm, a novel data association algorithm using distance weighting was proposed, which can enhance the association probability of measurement originated from target, and then using a Kalman filter to estimate the target state more accurately. Thus, the tracking performance of the proposed algorithm when tracking non-maneuvering targets in a densely cluttered environment has improved, and also does better when two targets are parallel to each other, or at a small-angle crossing in a densely cluttered environment. As for maneuvering target issues, usually with an interactive multi-model framework, combined with the improved probabilistic data association method, we propose an improved algorithm using a combined interactive multiple model probabilistic data association algorithm to track a maneuvering target in a densely cluttered environment. Through Monte Carlo simulation, the results show that the proposed algorithm can be more effective and reliable for different scenarios of target tracking in a densely cluttered environment.
A Novel Fisheye-Lens-Based Photoacoustic System
Authors: Choi Hojong , Ryu Jaemyung , Kim Jungsuk
Published: December 2016

This paper presents a novel fisheye-lens-based photoacoustic (PA) system. In conventional PA systems, mechanical motors are utilized to obtain the target information due to the small fields of view of such systems. The use of such motors introduces mechanical noise, which is difficult to remove when processing the echo signals. A fisheye lens system offering a wide field of view would effectively reduce the motor effects (i.e., the noise) and enable the system to have a wide field of view. Therefore, in this work, we propose a novel fisheye lens scheme and describe a PA system based on the developed lens scheme. In addition, to confirm the feasibility of the fisheye-lens-based PA system, we present the typical pulse-echo responses obtained using a 20 MHz single element immersion transducer and the echo signals measured from bull’s eye tissue samples separated by approximately 4, 6, 8, and 10 cm diagonally and 2 cm vertically from the fisheye lens. The experimental results demonstrate that the echo signal amplitudes, their center frequencies, and the −6 dB bandwidths obtained using red, green, and blue lights and a fisheye lens are acceptable when the fisheye lens is separated from a sample both diagonally and vertically. Therefore, fisheye-lens-based PA systems could be a potential method of achieving wide fields of view while reducing the mechanical motor effects.
Smart Pipe System for a Shipyard 4.0
Authors: Fraga-Lamas Paula , Noceda-Davila Diego , Fernández-Caramés Tiago , Díaz-Bouza Manuel , Vilar-Montesinos Miguel
Published: December 2016

As a result of the progressive implantation of the Industry 4.0 paradigm, many industries are experimenting a revolution that shipyards cannot ignore. Therefore, the application of the principles of Industry 4.0 to shipyards are leading to the creation of Shipyards 4.0. Due to this, Navantia, one of the 10 largest shipbuilders in the world, is updating its whole inner workings to keep up with the near-future challenges that a Shipyard 4.0 will have to face. Such challenges can be divided into three groups: the vertical integration of production systems, the horizontal integration of a new generation of value creation networks, and the re-engineering of the entire production chain, making changes that affect the entire life cycle of each piece of a ship. Pipes, which exist in a huge number and varied typology on a ship, are one of the key pieces, and its monitoring constitutes a prospective cyber-physical system. Their improved identification, traceability, and indoor location, from production and through their life, can enhance shipyard productivity and safety. In order to perform such tasks, this article first conducts a thorough analysis of the shipyard environment. From this analysis, the essential hardware and software technical requirements are determined. Next, the concept of smart pipe is presented and defined as an object able to transmit signals periodically that allows for providing enhanced services in a shipyard. In order to build a smart pipe system, different technologies are selected and evaluated, concluding that passive and active RFID (Radio Frequency Identification) are currently the most appropriate technologies to create it. Furthermore, some promising indoor positioning results obtained in a pipe workshop are presented, showing that multi-antenna algorithms and Kalman filtering can help to stabilize Received Signal Strength (RSS) and improve the overall accuracy of the system.
A Novel Sensor Selection and Power Allocation Algorithm for Multiple-Target Tracking in an LPI Radar Network
Authors: She Ji , Wang Fei , Zhou Jianjiang
Published: December 2016

Radar networks are proven to have numerous advantages over traditional monostatic and bistatic radar. With recent developments, radar networks have become an attractive platform due to their low probability of intercept (LPI) performance for target tracking. In this paper, a joint sensor selection and power allocation algorithm for multiple-target tracking in a radar network based on LPI is proposed. It is found that this algorithm can minimize the total transmitted power of a radar network on the basis of a predetermined mutual information (MI) threshold between the target impulse response and the reflected signal. The MI is required by the radar network system to estimate target parameters, and it can be calculated predictively with the estimation of target state. The optimization problem of sensor selection and power allocation, which contains two variables, is non-convex and it can be solved by separating power allocation problem from sensor selection problem. To be specific, the optimization problem of power allocation can be solved by using the bisection method for each sensor selection scheme. Also, the optimization problem of sensor selection can be solved by a lower complexity algorithm based on the allocated powers. According to the simulation results, it can be found that the proposed algorithm can effectively reduce the total transmitted power of a radar network, which can be conducive to improving LPI performance.
Semantic Agent-Based Service Middleware and Simulation for Smart Cities
Authors: Liu Ming , Xu Yang , Hu Haixiao , Mohammed Abdul-Wahid
Published: December 2016

With the development of Machine-to-Machine (M2M) technology, a variety of embedded and mobile devices is integrated to interact via the platform of the Internet of Things, especially in the domain of smart cities. One of the primary challenges is that selecting the appropriate services or service combination for upper layer applications is hard, which is due to the absence of a unified semantical service description pattern, as well as the service selection mechanism. In this paper, we define a semantic service representation model from four key properties: Capability (C), Deployment (D), Resource (R) and IOData (IO). Based on this model, an agent-based middleware is built to support semantic service enablement. In this middleware, we present an efficient semantic service discovery and matching approach for a service combination process, which calculates the semantic similarity between services, and a heuristic algorithm to search the service candidates for a specific service request. Based on this design, we propose a simulation of virtual urban fire fighting, and the experimental results manifest the feasibility and efficiency of our design.
Smart Device-Supported BDS/GNSS Real-Time Kinematic Positioning for Sub-Meter-Level Accuracy in Urban Location-Based Services
Authors: Wang Liang , Li Zishen , Zhao Jiaojiao , Zhou Kai , Wang Zhiyu , Yuan Hong
Published: December 2016

Using mobile smart devices to provide urban location-based services (LBS) with sub-meter-level accuracy (around 0.5 m) is a major application field for future global navigation satellite system (GNSS) development. Real-time kinematic (RTK) positioning, which is a widely used GNSS-based positioning approach, can improve the accuracy from about 10–20 m (achieved by the standard positioning services) to about 3–5 cm based on the geodetic receivers. In using the smart devices to achieve positioning with sub-meter-level accuracy, a feasible solution of combining the low-cost GNSS module and the smart device is proposed in this work and a user-side GNSS RTK positioning software was developed from scratch based on the Android platform. Its real-time positioning performance was validated by BeiDou Navigation Satellite System/Global Positioning System (BDS/GPS) combined RTK positioning under the conditions of a static and kinematic (the velocity of the rover was 50–80 km/h) mode in a real urban environment with a SAMSUNG Galaxy A7 smartphone. The results show that the fixed-rates of ambiguity resolution (the proportion of epochs of ambiguities fixed) for BDS/GPS combined RTK in the static and kinematic tests were about 97% and 90%, respectively, and the average positioning accuracies (RMS) were better than 0.15 m (horizontal) and 0.25 m (vertical) for the static test, and 0.30 m (horizontal) and 0.45 m (vertical) for the kinematic test.
An Ultrasensitive Long-Period Fiber Grating-Based Refractive Index Sensor with Long Wavelengths
Authors: Li Qiu-Shun , Zhang Xu-Lin , Shi Jian-Guo , Xiang Dong , Zheng Lan , Yang Yan , Yang Jun-Hui , Feng Dong , Dong Wen-Fei
Published: December 2016

The response of a novel long-period fiber grating (LPFG) with a period of 180 µm to a surrounding refractive index (RI) was investigated. The results displayed that, with the increase in RI of the surrounding media of cladding glass in the grating region, the resonant peak located at 1336.4 nm in the transmission spectrum gradually shifts towards a shorter wavelength, while the resonant peak located at 1618 nm gradually shifted towards a longer wavelength. Moreover, the resonant peak at 1618 nm is much more sensitive to the surrounding RI than that of the one at 1336.4 nm. Compared with the conventional LPFG and other types of wavelength-interrogated RI sensors, such as ring resonators, surface plasmon resonance sensors, and Fabry–Perot interferometric sensors, this novel LPFG possesses a higher sensitivity, which achieved 10,792.45 nm/RIU (RI unit) over a RI range of 1.4436–1.4489.
Plasmonic Fiber Optic Refractometric Sensors: From Conventional Architectures to Recent Design Trends
Authors: Klantsataya Elizaveta , Jia Peipei , Ebendorff-Heidepriem Heike , Monro Tanya , François Alexandre
Published: December 2016

Surface Plasmon Resonance (SPR) fiber sensor research has grown since the first demonstration over 20 year ago into a rich and diverse field with a wide range of optical fiber architectures, plasmonic coatings, and excitation and interrogation methods. Yet, the large diversity of SPR fiber sensor designs has made it difficult to understand the advantages of each approach. Here, we review SPR fiber sensor architectures, covering the latest developments from optical fiber geometries to plasmonic coatings. By developing a systematic approach to fiber-based SPR designs, we identify and discuss future research opportunities based on a performance comparison of the different approaches for sensing applications.
An Efficient Wireless Recharging Mechanism for Achieving Perpetual Lifetime of Wireless Sensor Networks
Authors: Yu Hongli , Chen Guilin , Zhao Shenghui , Chang Chih-Yung , Chin Yu-Ting
Published: December 2016

Energy recharging has received much attention in recent years. Several recharging mechanisms were proposed for achieving perpetual lifetime of a given Wireless Sensor Network (WSN). However, most of them require a mobile recharger to visit each sensor and then perform the recharging task, which increases the length of the recharging path. Another common weakness of these works is the requirement for the mobile recharger to stop at the location of each sensor. As a result, it is impossible for recharger to move with a constant speed, leading to inefficient movement. To improve the recharging efficiency, this paper takes “recharging while moving” into consideration when constructing the recharging path. We propose a Recharging Path Construction (RPC) mechanism, which enables the mobile recharger to recharge all sensors using a constant speed, aiming to minimize the length of recharging path and improve the recharging efficiency while achieving the requirement of perpetual network lifetime of a given WSN. Performance studies reveal that the proposed RPC outperforms existing proposals in terms of path length and energy utilization index, as well as visiting cycle.
Evaluating Speed Enforcement Field Set-Ups Used by Regional Police in Belgium: An Analysis of Speed Outcome Indicators
Authors: Wilmots Brenda , Hermans Elke , Brijs Tom , Wets Geert
Published: December 2016

In this paper the results from a field experiment (conducted in 2012) are presented, in which 3 regional police units in the Flemish region of Belgium each tested a particular combination of a speed control (with mobile radar in an anonymous car) with communicative signage. The goal of this paper was to scientifically evaluate frequently used field set-ups. The following set-ups were tested in one week: (1) police unit 1: speed control with and without a static feedback sign placed after the control; (2) police unit 2: speed control with and without a digital feedback sign placed after the control; (3) police unit 3: speed display followed by a second speed display further along the road section. During certain time frames, speed control took place in between both signs. All tested field set-ups generated significant reductions in the speed level. Studying the effect of the different variations for each set-up reveals that the effect of the speed control is generally larger in combination with the signage alongside the road. After the period during which the police activities took place, speed levels again reached their initial level. Based on the before–after analysis, only in police area 2 was a small ‘time halo-effect’ found. To generalize results from this pilot study, repetition of tested set-ups in the field is recommended as well as testing on a larger scale.
What Happened to the Women in Women’s Studies? Rethinking the Role of Women’s History in Gender Studies Classes
Authors: Feitz Lindsey
Published: December 2016

This commentary discusses the evolving dynamics and the intergenerational “rifts” that often arise in gender and women’s studies classes. The first section outlines the rise of women’s studies programs in the 1970s and the “women-centered” approach most university women’s studies programs and classes embraced. The second section discusses 3rd wave feminism’s expanded interest in intersectionality, masculinity studies, and queer studies and concludes by exploring the possibilities of using the history of women’s studies programs as a way to teach students about the shift of “women to gender” studies and to encourage cross-generational dialogue between feminists.
Adaptive Rangeland Decision-Making and Coping with Drought
Authors: Roche Leslie
Published: December 2016

Grazinglands support the livelihoods of millions of people around the world, as well as supply critical ecosystem services. Communities reliant on rain-fed rangelands are potentially the most vulnerable to increasing climate variability given their dependence on highly climate-sensitive resources. Droughts, which are gradual natural hazards, pose substantial and recurrent economic and ecological stresses to these systems. This study examined management decision-making based on survey responses of 479 California ranchers to: (1) identify the types of drought strategies in-place across California’s rangelands and the operation variables driving strategy selection; and (2) examine how individual drought adaptation is enhanced by decision-making factors. Four types of in-place drought strategies were identified and ordered along a gradient of increasing intensity (number) of practices used. Significant background variables driving strategy selection were operation experience with drought, type of livestock operation, grazing system, and land ownership types. Information resource networks, goal setting for sustainable natural resources, and management capacity all acted to enhance individual drought adaptation—defined here by active drought planning and the number of both reactive and proactive drought practices used. Overall, analyses revealed that flexibility in management is a key component of adapting to and coping with drought. Climate policy planning should take into account the diversity of strategies that have been developed by ranchers for multiple generations and within the context of their unique operations, as well as support these working landscapes via a range of adaptation and mitigation options to reduce vulnerability across all types of operations.
A Novel Method for Fast Configuration of Energy Storage Capacity in Stand-Alone and Grid-Connected Wind Energy Systems
Authors: Zang Haixiang , Guo Mian , Qian Zeyu , Wei Zhinong , Sun Guoqiang
Published: December 2016

In this paper, a novel method is proposed and applied to quickly calculate the capacity of energy storage for stand-alone and grid-connected wind energy systems, according to the discrete Fourier transform theory. Based on practical wind resource data and power data, which are derived from the American Wind Energy Technology Center and HOMER software separately, the energy storage capacity of a stand-alone wind energy system is investigated and calculated. Moreover, by applying the practical wind power data from a wind farm in Fujian Province, the energy storage capacity for a grid-connected wind system is discussed in this paper. This method can also be applied to determine the storage capacity of a stand-alone solar energy system with practical photovoltaic power data.
Leveraging Small-Scale Sport Events: Challenges of Organising, Delivering and Managing Sustainable Outcomes in Rural Communities, the Case of Gorski kotar, Croatia
Authors: Perić Marko , Đurkin Jelena , Wise Nicholas
Published: December 2016

Sports and events play an important role in local identity building and creating a sense of community that encourages participation and increases social capital. Rural communities are specific areas with special needs and can face challenges and restraints when it comes to event organisation. The purpose of this paper is to identify organisational challenges and analyse the potential to achieving long-term sustainable social and economic outcomes linked to small-scale sports events in rural communities. Organisational challenges of rural communities in terms of organising sport events are examined and discussed using the framework of event leveraging developed by O’Brien and Chalip. This methodology is applied and discussed to a case study focusing on small-scale winter sport events in rural Croatia. Semi-structured interviews with local organisers were conducted in order to collect data on the overall event organisation and management, local coordination, role of community stakeholders and challenges facing strategic planning, with the intent to identify objectives for future events. Results were discussed independently and in the context of the leverage framework, with reflection on its applicability to rural communities as the event organisers. Recommendations are provided based on critical insight from the literature and are oriented on how to streamline the process of organising, delivering and managing of events in remote rural communities. Finally, the idea of inter-community organisation is proposed to ensure long-term social and economic benefits and to address the existing issues of overlapping of stakeholder categories, mixed objectives, distrust among stakeholders and inefficiently used local resources.
How to Deliver Open Sustainable Innovation: An Integrated Approach for a Sustainable Marketable Product
Authors: Cappa Francesco , Del Sette Fausto , Hayes Darren , Rosso Federica
Published: December 2016

The adoption of open innovation and peer production, powered by 3D printing technology, is transforming traditional manufacturing methods towards a “third industrial revolution”. The purpose of this research is to provide empirical evidence for an integrated approach, based on collaborative product development and peer production, combined with 3D printing, to deliver more sustainable, yet competitive, marketable products. In particular, this experimental study is conducted in the context of mobile forensics, an emerging market where limited expensive products exist and alternative solutions are needed. The technical viability and economic feasibility of the prototype developed in this research validate the proposed integrated approach, which could be a game-changer in the field of mobile forensics, as well as in other sectors. The sustainability improvements with this approach are a reduction of the total cost, thereby making it affordable for lower income users, and a decrease in energy consumption and pollutant emissions. The validated integrated approach offers start-up opportunities to develop and deliver more sustainable, marketable products, towards the paradigm of Open Sustainable Innovation. While the device developed and tested in this research has similar features to existing products, the methodology, implementation, and motivation are original.
Multi-Regional Input-Output (MRIO) Study of the Provincial Ecological Footprints and Domestic Embodied Footprints Traded among China’s 30 Provinces
Authors: Wu Decun , Liu Jinping
Published: December 2016

Rapid development in China has led to imbalances and inequities of ecological resources among the provinces and regions. In this study, an environmentally extended multi-regional input-output (MRIO) model was used to analyze the imbalances, inequities and pressures of the ecological footprints (EF) of China’s 30 provinces in 2007. In addition, by decomposing the total product consumption coefficients, we calculated the net embodied EF of the flows among the provinces by the total amount, land type and sector. The results showed that most provinces presented EF deficits. Significant differences were observed between the ecological pressure in consumption (EPC) and ecological pressure in production (EPP) for each province because of the net embodied EF trade; the EPCs of Shanghai (15.16), Beijing (7.81) and Tianjin (7.81) were the largest and presented descending EPPs, whereas the EPCs of Heilongjiang (0.98), Hebei (0.98), Xinjiang (0.98) and Guangxi (0.98) were under the threshold value (1) and presented ascending EPPs. The carbon footprint in the secondary sector was the main embodied EF of the flows among the provinces responsible for inequities. Finally, based on the various conditions of the provinces in different geographical regions, we have provided suggestions for regionally balanced development that can maintain the EPP and EPC values under the threshold for each province.
The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation
Authors: Xiao Yujie , Yang Shuai
Published: December 2016

Managing perishable food in a retail store is quite difficult because of the product’s short lifetime and deterioration. Many elements, such as price, shelf space allocation, and quality, which can affect the consumption rate, should be taken into account when the perishable food retail chain is designed. The modern tracking technologies provide good opportunities to improve the management of the perishable food retail chain. In this research, we develop a mathematical model for a single-item retail chain and determine the pricing strategy, shelf space allocation, and order quantity to maximize the retailer’s total profit with the application of tracking technologies. Then the single-item retail chain is extended into a multi-item one with a shelf space capacity and a simple algorithm is developed to find the optimal allocation of shelf space among these items. Finally, numerical experiments and real-life examples are conducted to illustrate the proposed models.
The Challenges of Implementing Sustainable Development: The Case of Sofia’s Master Plan
Authors: Slaev Aleksandar , Nedovic-Budic Zorica
Published: December 2016

In this paper, we explore how master planning promotes and implements particular urban development patterns and, more generally, contributes to sustainability. Our goal is to understand the link between urban growth intentions articulated through the master planning process and realisation of its specific forms, e.g., monocentric or polycentric, compact or dispersed. As a case study, we examine the current General Urban Development Plan (GUDP) of the Bulgarian capital Sofia against the city’s actual development pattern. We observe that the primary goals of the GUDP are to promote a polycentric urban structure and low-density expansion, as well as preserve green edges. While the question of whether and how these goals reflect the sustainability ideal requires further consideration, there are some indications that Sofia’s GUDP may not be effective in encouraging sustainable forms of growth. Substantial inconsistencies exist between the plan’s overall goals and some of its measures and implementation tools. The results on the ground suggest that, despite the plan’s low-density aspirations, Sofia is becoming more compact and densified, while losing its green edges and failing to redirect growth to its northern territories where ample space and opportunities exist. We conclude that employing the achievements of research on sustainability and developing relevant implementation tools such as more effective zoning regulations and viable suburban transportation infrastructure are necessary for realising both the patterns proposed through master planning and achieving sustainable urban growth.
Exploring a Novel Agricultural Subsidy Model with Sustainable Development: A Chinese Agribusiness in Liaoning Province
Authors: Cui Li , Wu Kuo-Jui , Tseng Ming-Lang
Published: December 2016

To improve the incomes of farmers in China, the Chinese government is paying increased attention to the reform of its agricultural subsidy policy. However, the effectiveness of the subsidy remains insufficient and thus fails to encourage farmers to cultivate their land and develop sustainability. Thus, there is a need for a novel model that will improve the effectiveness and efficiency of subsidies. The proposed novel agricultural subsidy model comprises four major actors: farmers, specialized farmers’ cooperatives, agribusiness and government. Furthermore, the subsidy in this novel model would no longer go directly to farmers but to the agribusiness. To develop the model, the empirical data for this study are obtained from a Chinese agribusiness in Liaoning Province that was selected as a benchmark. With this novel model, farmers receive triple rebates: the price received when the rice is initially sold; a share of the profits of the specialized farmers’ cooperatives; and a share of the profits of the agribusiness. Accordingly, exploring the optimal subsidy rate for agribusinesses is the critical task of this study, and the results demonstrate that agribusinesses must use the government subsidy policy as the basis for a dynamic subsidy model that ensures the income of farmers and encourages sustainable development.
THD Reduction of Distribution System Based on ASRFC and HVC Method for SVC under EV Charger Condition for Power Factor Improvement
Authors: Farkoush Saeid , Kim Chang-Hwan , Rhee Sang-Bong
Published: December 2016

Electric vehicles (EVs) have been gaining popularity in recent years due to growing concerns about fuel depletion and increasing petrol prices. Random uncoordinated charging of multiple EVs at residential distribution feeders with moderate penetration levels is expected in the near future. This paper describes a high performance voltage controller for the EVs charging system, and proposes a scheme of asymmetric synchronous reference frame controller (ASRFC) in order to compensate for the voltage distortions and unbalance distribution system due to EVs charger. This paper explores the power factor of distribution and residential network under random EVs charger on the bus load. ASRFC and harmonic voltage compensator (HVC) are employed for static VAR compensator (SVC) in this paper. The proposed scheme can improve the power factor and total harmonic distortion (THD) of the smart grid due to the EVs charger in grid. The effectiveness of the scheme was investigated and verified through computer simulations of a 22.9-kV grid.
The Method of Linear Determining Equations to Evolution System and Application for Reaction-Diffusion System with Power Diffusivities
Authors: Ji Lina
Published: December 2016

The method of linear determining equations is constructed to study conditional Lie–Bäcklund symmetry and the differential constraint of a two-component second-order evolution system, which generalize the determining equations used in the search for classical Lie symmetry. As an application of the approach, the two-component reaction-diffusion system with power diffusivities is considered. The conditional Lie–Bäcklund symmetries and differential constraints admitted by the reaction-diffusion system are identified. Consequently, the reductions of the resulting system are established due to the compatibility of the corresponding invariant surface conditions and the original system.
Accurate Dense Stereo Matching Based on Image Segmentation Using an Adaptive Multi-Cost Approach
Authors: Ma Ning , Men Yubo , Men Chaoguang , Li Xiang
Published: December 2016

This paper presents a segmentation-based stereo matching algorithm using an adaptive multi-cost approach, which is exploited for obtaining accuracy disparity maps. The main contribution is to integrate the appealing properties of multi-cost approach into the segmentation-based framework. Firstly, the reference image is segmented by using the mean-shift algorithm. Secondly, the initial disparity of each segment is estimated by an adaptive multi-cost method, which consists of a novel multi-cost function and an adaptive support window cost aggregation strategy. The multi-cost function increases the robustness of the initial raw matching costs calculation and the adaptive window reduces the matching ambiguity effectively. Thirdly, an iterative outlier suppression and disparity plane parameters fitting algorithm is designed to estimate the disparity plane parameters. Lastly, an energy function is formulated in segment domain, and the optimal plane label is approximated by belief propagation. The experimental results with the Middlebury stereo datasets, along with synthesized and real-world stereo images, demonstrate the effectiveness of the proposed approach.
The Pathogenetic Effect of Natural and Bacterial Toxins on Atopic Dermatitis
Authors: Park Kyung-Duck , Pak Sok , Park Kwan-Kyu
Published: December 2016

Atopic dermatitis (AD) is a common allergic skin disease that is associated with chronic, recurrent eczematous and pruritic lesions at the flexural folds caused by interacting factors related to environmental and immune system changes. AD results in dry skin, and immunoglobulin E-mediated allergic reactions to foods and environmental allergens. While steroids and anti-histamines temporarily relieve the symptoms of AD, the possibility of side effects from pharmacological interventions remains. Despite intensive research, the underlying mechanisms for AD have not been clarified. A study of Staphylococcus aureus (S. aureus) established the role of its toxins in the pathogenesis of AD. Approximately 90% of patients with AD experience S. aureus colonization and up to 50%–60% of the colonizing S. aureus is toxin-producing. Any damage to the protective skin barrier allows for the entry of invading allergens and pathogens that further drive the pathogenesis of AD. Some natural toxins (or their components) that have therapeutic effects on AD have been studied. In addition, recent studies on inflammasomes as one component of the innate immune system have been carried out. Additionally, studies on the close relationship between the activation of inflammasomes and toxins in AD have been reported. This review highlights the literature that discusses the pathogenesis of AD, the role of toxins in AD, and the positive and negative effects of toxins on AD. Lastly, suggestions are made regarding the role of inflammasomes in AD.
Human Monkeypox: Current State of Knowledge and Implications for the Future
Authors: Brown Katy , Leggat Peter
Published: December 2016

The zoonosis human monkeypox (MPX) was discovered in 1970, twelve years after the discovery of monkeypox virus (MPXV) in a Danish laboratory in 1958. Historically confined to West Africa (WA) and the Congo basin (CB), new epidemics in Sudan and the United States of America (USA) have fuelled new research highlighting environmental factors contributing to the expanded geographical spread of monkeypox virus (MPXV). A systematic literature review was conducted in MEDLINE® (Ovid), MEDLINE® (PubMed) and Google Scholar databases using the search terms: monkeypox, MPXV and “human monkeypox”. The literature revealed MPX has classic prodromal symptoms followed by a total body rash. The sole distinguishing clinical characteristic from other pox-like illnesses is the profound lymphadenopathy. Laboratory diagnosis of MPX is essential, a suitable test for endemic areas is under development but not yet available. For the time being anti-poxvirus antibodies in an unvaccinated individual with a history of severe illness and rash can suggest MPX infection. The reservoir host remains elusive yet the rope squirrel and Gambian pouched rat appear to be the most likely candidates. Transmission includes fomite, droplet, direct contact with infected humans or animals and consumption of infected meat. Though smallpox vaccination is protective against MPXV, new non-immune generations contribute to increasing incidence. Environmental factors are increasing the frequency of contact with potential hosts, thus increasing the risk of animal-to-human transmission. Increased risk of transmission through globalisation, conflict and environmental influences makes MPX a more realistic threat to previously unaffected countries. Health worker training and further development and accessibility of suitable diagnostic tests, vaccinations and anti-viral treatment is becoming increasingly necessary.