bluuebunny/crossref_metadata_2025 huggingface dataset:
Temperature Dependence of the Dynamic Parameters of Contact Thermometers
Authors: Augustin Silke , Fröhlich Thomas
Published: May 2019

Contact thermometers are used in a wide temperature range as well as under various media and environmental conditions. The temperature can range from −200 °C to about 1500 °C. In this case, the dynamic parameters (time percentage values tx and time constants τ) depend on temperature. Several effects are superimposed. Constructional and material properties of the thermometer and the installation location affect the dynamic behavior as well as the type and material properties of the object to be measured. Thermal conductivity λ, specific heat capacity c, and density ρ depend on temperature. This temperature dependence can be mutually compensated for (see Section 3). At the same time, the dynamic behavior is also influenced by the temperature-dependent parameters of the medium. When the thermometers are installed in air, for example, the heat transfer coefficient α decreases with increasing temperature, owing to the temperature-dependent material data of the air, at constant speed v. At the same time, heat radiation effects are so strong that the heat transfer improves despite the decreasing convective heat transfer coefficient. In this paper, a number of examples are used to establish a model for the temperature dependence of the dynamic parameters for various thermometer designs. Both numerically and experimentally determined results for the determination of the dynamic characteristic values are included in the consideration.
An Improved WiFi Positioning Method Based on Fingerprint Clustering and Signal Weighted Euclidean Distance
Authors: Wang Boyuan , Liu Xuelin , Yu Baoguo , Jia Ruicai , Gan Xingli
Published: May 2019

WiFi fingerprint positioning has been widely used in the indoor positioning field. The weighed K-nearest neighbor (WKNN) algorithm is one of the most widely used deterministic algorithms. The traditional WKNN algorithm uses Euclidean distance or Manhattan distance between the received signal strengths (RSS) as the distance measure to judge the physical distance between points. However, the relationship between the RSS and the physical distance is nonlinear, using the traditional Euclidean distance or Manhattan distance to measure the physical distance will lead to errors in positioning. In addition, the traditional RSS-based clustering algorithm only takes the signal distance between the RSS as the clustering criterion without considering the position distribution of reference points (RPs). Therefore, to improve the positioning accuracy, we propose an improved WiFi positioning method based on fingerprint clustering and signal weighted Euclidean distance (SWED). The proposed algorithm is tested by experiments conducted in two experimental fields. The results indicate that compared with the traditional methods, the proposed position label-assisted (PL-assisted) clustering result can reflect the position distribution of RPs and the proposed SWED-based WKNN (SWED-WKNN) algorithm can significantly improve the positioning accuracy.
An Unsupervised Method for Artefact Removal in EEG Signals
Authors: Mur Angel , Dormido Raquel , Duro Natividad
Published: May 2019

Objective: The activity of the brain can be recorded by means of an electroencephalogram (EEG). An EEG is a multichannel signal related to brain activity. However, EEG presents a wide variety of undesired artefacts. Removal of these artefacts is often done using blind source separation methods (BSS) and mainly those based on Independent Component Analysis (ICA). ICA-based methods are well-accepted in the literature for filtering artefacts and have proved to be satisfactory in most scenarios of interest. Our goal is to develop a generic and unsupervised ICA-based algorithm for EEG artefacts removal. Approach: The proposed algorithm makes use of a new unsupervised artefact detection, ICA and a statistical criterion to automatically select the artefact related independent components (ICs) requiring no human intervention. The algorithm is evaluated using both simulated and real EEG data with artefacts (SEEG and AEEG). A comparison between the proposed unsupervised selection of ICs related to the artefact and other supervised selection is also presented. Main results: A new unsupervised ICA-based algorithm to filter artefacts, where ICs related to each artefact are automatically selected. It can be used in online applications, it preserves most of the original information among the artefacts and removes different types of artefacts. Significance: ICA-based methods for filtering artefacts prevail in the literature. The work in this article is important insofar as it addresses the problem of automatic selection of ICs in ICA-based methods. The selection is unsupervised, avoiding the manual ICs selection or a learning process involved in other methods. Our method is a generic algorithm that allows removing EEG artefacts of various types and, unlike some ICA-based algorithms, it retains most of the original information among the artefacts. Within the algorithm, the artefact detection method implemented does not require human intervention either.
Block Compressive Sensing (BCS) Based Low Complexity, Energy Efficient Visual Sensor Platform with Joint Multi-Phase Decoder (JMD)
Authors: Ebrahim Mansoor , Chia Wai Chong , Adil Syed Hasan , Raza Kamran
Published: May 2019

Devices in a visual sensor network (VSN) are mostly powered by batteries, and in such a network, energy consumption and bandwidth utilization are the most critical issues that need to be taken into consideration. The most suitable solution to such issues is to compress the captured visual data before transmission takes place. Compressive sensing (CS) has emerged as an efficient sampling mechanism for VSN. CS reduces the total amount of data to be processed such that it recreates the signal by using only fewer sampling values than that of the Nyquist rate. However, there are few open issues related to the reconstruction quality and practical implementation of CS. The current studies of CS are more concentrated on hypothetical characteristics with simulated results, rather than on the understanding the potential issues in the practical implementation of CS and its computational validation. In this paper, a low power, low cost, visual sensor platform is developed using an Arduino Due microcontroller board, XBee transmitter, and uCAM-II camera. Block compressive sensing (BCS) is implemented on the developed platform to validate the characteristics of compressive sensing in a real-world scenario. The reconstruction is performed by using the joint multi-phase decoding (JMD) framework. To the best of our knowledge, no such practical implementation using off the shelf components has yet been conducted for CS.
Robust Noise Suppression Technique for a LADAR System via Eigenvalue-Based Adaptive Filtering
Authors: Xia Xianzhao , Chen Rui , Wang Pinquan , Zhao Yiqiang
Published: May 2019

The laser detection and ranging system (LADAR) is widely used in various fields that require 3D measurement, detection, and modeling. In order to improve the system stability and ranging accuracy, it is necessary to obtain the complete waveform of pulses that contain target information. Due to the inevitable noise, there are distinct deviations between the actual and expected waveforms, so noise suppression is essential. To achieve the best effect, the filters’ parameters that are usually set as empirical values should be adaptively adjusted according to the different noise levels. Therefore, we propose a novel noise suppression method for the LADAR system via eigenvalue-based adaptive filtering. Firstly, an efficient noise level estimation method is developed. The distributions of the eigenvalues of the sample covariance matrix are analyzed statistically after one-dimensional echo data are transformed into matrix format. Based on the boundedness and asymptotic properties of the noise eigenvalue spectrum, an estimation method for noise variances in high dimensional settings is proposed. Secondly, based on the estimated noise level, an adaptive guided filtering algorithm is designed within the gradient domain. The optimized parameters of the guided filtering are set according to an estimated noise level. Through simulation analysis and testing experiments on echo waves, it is proven that our algorithm can suppress the noise reliably and has advantages over the existing relevant methods.
Distance and Velocity Measurement of Coherent Lidar Based on Chirp Pulse Compression
Authors: Yang Jing , Zhao Bin , Liu Bo
Published: May 2019

To explore lidar, which can simultaneously measure the distance and velocity of long-distance targets at high resolution, a coherent lidar system based on chirp pulse compression has been studied. Instead of a conventional acousto-optic modulator (AOM), we used an electro-optic modulator (EOM) to modulate a continuous 1550 nm laser. Using EOM, the resolution of the lidar is higher and the system simpler. The electrical waveform used to modulate the laser is a chirp pulse, which has a sweeping bandwidth of 98 MHz, a duration of 10 µs, and a pulse repetition rate of 20 kHz. The result of 100 measurements shows that the system may yield accurate information in range, ±22 cm, and radial velocity, ±1.066 cm/s.
An Efficient and Geometric-Distortion-Free Binary Robust Local Feature
Authors: Guo Jing-Ming , Chang Li-Ying , Lee Jiann-Der
Published: May 2019

An efficient and geometric-distortion-free approach, namely the fast binary robust local feature (FBRLF), is proposed. The FBRLF searches the stable features from an image with the proposed multiscale adaptive and generic corner detection based on the accelerated segment test (MAGAST) to yield an optimum threshold value based on adaptive and generic corner detection based on the accelerated segment test (AGAST). To overcome the problem of image noise, the Gaussian template is applied, which is efficiently boosted by the adoption of an integral image. The feature matching is conducted by incorporating the voting mechanism and lookup table method to achieve a high accuracy with low computational complexity. The experimental results clearly demonstrate the superiority of the proposed method compared with the former schemes regarding local stable feature performance and processing efficiency.
Simple Reconfigurable Circularly Polarized Antenna at Three Bands
Authors: Le Tu , Park Han-Young , Yun Tae-Yeoul
Published: May 2019

In this paper, a simple design for a triple-band circularly polarized (CP) antenna with the capability of switching its polarization between dual-sense CPs is presented. The proposed antenna is comprised of a monopole loop antenna as a primary radiator. By placing a parasitic loop around the primary radiator, an additional CP band is achieved. Reconfigurability of the polarization between right-hand CP (RHCP) and left-hand CP (LHCP) at three different frequencies of 2.5, 3.3, and 3.8 GHz was realized by controlling the ON/OFF states of two PIN diodes. For validation, the fabricated antenna yielded an impedance bandwidth of 52.6% (2.34–4.01 GHz), while the axial ratio bandwidths for both the RHCP and LHCP states were 3.5% (2.47–2.56 GHz), 6.6% (3.20–3.42 GHz), and 2.4% (3.74–3.83 GHz). The measured broadside gains within the axial ratio bandwidth were 1.2, 2.7, and 1.4 dBi, respectively. Compared to other reconfigurable multi-band CP antennas, the proposed design is the first work to achieve a reconfigurable polarization at three distinct bands at a low fabrication cost by using only two diodes. The proposed antenna is suitable for WLAN and WiMAX applications.
Proposal for the Design of Monitoring and Operating Irrigation Networks Based on IoT, Cloud Computing and Free Hardware Technologies
Authors: Fernández-Ahumada Luis Manuel , Ramírez-Faz Jose , Torres-Romero Marcos , López-Luque Rafael
Published: May 2019

In recent decades, considerable efforts have been devoted to process automation in agriculture. Regarding irrigation systems, this demand has found several difficulties, including the lack of communication networks and the large distances to electricity supply points. With the recent implementation of LPWAN wireless communication networks (SIGFOX, LoraWan, and NBIoT), and the expanding market of electronic controllers based on free software and hardware (i.e., Arduino, Raspberry, ESP, etc.) with low energy requirements, new perspectives have appeared for the automation of agricultural irrigation networks. This paper presents a low-cost solution for automatic cloud-based irrigation. In this paper, it is proposed the design of a node network based on microcontroller ESP32-Lora and Internet connection through SIGFOX network. The results obtained show the stability and robustness of the designed system.
Raman Distributed Temperature Sensor with Optical Dynamic Difference Compensation and Visual Localization Technology for Tunnel Fire Detection
Authors: Yan Baoqiang , Li Jian , Zhang Mingjiang , Zhang Jianzhong , Qiao Lijun , Wang Tao
Published: May 2019

The field of tunnel fire detection requires a Raman distributed temperature sensor (RDTS) with high-accuracy and visual localization. A novel temperature demodulation method to improve the temperature measurement accuracy of the RDTS systems is presented. This method is based on the optical dynamic difference compensation algorithm, which can eliminate the optical power fluctuation. In addition, the visual localization technology is presented by using the longitudinal lining model (LLM) of a three-dimensional (3D) temperature display, which enhances the engineering application of RDTS in tunnel fire detection. Experimental results indicate that the temperature measurement accuracy is optimized from 7.0 °C to 1.9 °C at the sensing distance of 18.27 km by using the presented method. We provide a solution for temperature field monitoring as well as fire visual localization of the tunnel through RDTS systems.
A Coordinated Wheeled Gas Pipeline Robot Chain System Based on Visible Light Relay Communication and Illuminance Assessment
Authors: Zhao Wen , Kamezaki Mitsuhiro , Yoshida Kento , Yamaguchi Kaoru , Konno Minoru , Onuki Akihiko , Sugano Shigeki
Published: May 2019

The gas pipeline requires regular inspection since the leakage brings damage to the stable gas supply. Compared to current detection methods such as destructive inspection, using pipeline robots has advantages including low cost and high efficiency. However, they have a limited inspection range in the complex pipe owing to restrictions by the cable friction or wireless signal attenuation. In our former study, to extend the inspection range, we proposed a robot chain system based on wireless relay communication (WRC). However, some drawbacks still remain such as imprecision of evaluation based on received signal strength indication (RSSI), large data error ratio, and loss of signals. In this article, we thus propose a new approach based on visible light relay communication (VLRC) and illuminance assessment. This method enables robots to communicate by the ‘light signal relay’, which has advantages in good communication quality, less attenuation, and high precision in the pipe. To ensure the stability of VLRC, the illuminance-based evaluation method is adopted due to higher stability than the wireless-based approach. As a preliminary evaluation, several tests about signal waveform, communication quality, and coordinated movement were conducted. The results indicate that the proposed system can extend the inspection range with less data error ratio and more stable communication.
RSS-Based Target Localization in Underwater Acoustic Sensor Networks via Convex Relaxation
Authors: Chang Shengming , Li Youming , He Yucheng , Wu Yongqing
Published: May 2019

The received signal strength (RSS) based target localization problem in underwater acoustic wireless sensor networks (UWSNs) is considered. Two cases with respect to target transmit power are considered. For the first case, under the assumption that the reference of the target transmit power is known, we derive a novel weighted least squares (WLS) estimator by using an approximation to the RSS expressions, and then transform the originally non-convex problem into a mixed semi-definite programming/second-order cone programming (SD/SOCP) problem for reaching an efficient solution. For the second case, there is no knowledge on the target transmit power, and we treat the reference power as an additional unknown parameter. In this case, we formulate a WLS estimator by using a further approximation, and present an iterative ML and mixed SD/SOCP algorithm for solving the derived WLS problem. For both cases, we also derive the closed form expressions of the Cramer–Rao Lower Bounds (CRLBs) on root mean square error (RMSE). Computer simulation results show the superior performance of the proposed methods over the existing ones in the underwater acoustic environment.
High-Precision Indoor Visible Light Positioning Using Modified Momentum Back Propagation Neural Network with Sparse Training Point
Authors: Zhang Haiqi , Cui Jiahe , Feng Lihui , Yang Aiying , Lv Huichao , Lin Bo , Huang Heqing
Published: May 2019

In this letter, we propose an indoor visible light positioning technique using a Modified Momentum Back-Propagation (MMBP) algorithm based on received signal strength (RSS) with sparse training data set. Unlike other neural network algorithms that require a large number of training data points to locate accurately, we have realized high-precision positioning for 100 test points with only 20 training points in a 1.8 m × 1.8 m × 2.1 m localization area. In order to verify the adaptability of the MMBP algorithm, we experimentally demonstrate two different training data acquisition methods adopting either even or arbitrary training sets. In addition, we also demonstrate the positioning accuracy of the traditional RSS algorithm. Experimental results show that the average localization accuracy optimized by our proposed algorithm is only 1.88 cm for the arbitrary set and 1.99 cm for the even set, while the average positioning error of the traditional RSS algorithm reaches 14.34 cm. Comparison indicates that the positioning accuracy of our proposed algorithm is 7.6 times higher. Results also show that the performance of our system is higher than some previous reports based on RSS and RSS fingerprint databases using complex machine learning algorithms trained by a large amount of training points.
Optimal Power Allocation and Relay Location for DF Energy Harvesting Relaying Sensor Networks
Authors: Yang Shizhao , Lu Guangyue , Ren Yuan
Published: May 2019

This paper considers a simultaneous wireless information and power transfer (SWIPT) based decode-and-forward (DF) relaying sensor network, where the “save-and-forward” strategy is utilized at the relay sensor node. We investigate a joint power splitting (PS) and relay location (RL) optimization scheme for delay-sensitive transmission mode using the instantaneous channel state information (CSI). In particular, two optimization problems are formulated to minimize the outage probability and maximize the average capacity, respectively. For the two optimization problems, the optimal solutions to the PS ratio and RL are obtained based on the instantaneous CSI. On the basis of optimal solutions, the analytical expressions for outage probability and average capacity are derived, and the corresponding achievable throughputs are obtained. Numerical results verify the correctness of theoretical derivations and validate the advantages of our proposed scheme.
Erratum: Li, S.; Miao, L.; Xu, H.; Zhou, X. Searchable Encryption Scheme for Personalized Privacy in IoT-Based Big Data. Sensors 2019, 19, 1059
Authors:   Sensors Editorial Office
Published: May 2019

The Sensors Editorial Office wishes to report the following erratum to this paper [...]
Multifunctional Freestanding Microprobes for Potential Biological Applications
Authors: Yang Nana , Wang Zhenhai , Xu Jingjing , Gui Lijiang , Tang Zhiqiang , Zhang Yuqi , Yi Ming , Yue Shuanglin , Xu Shengyong
Published: May 2019

Deep-level sensors for detecting the local temperatures of inner organs and tissues of an animal are rarely reported. In this paper, we present a method to fabricate multifunctional micro-probes with standard cleanroom procedures, using a piece of stainless-steel foil as the substrate. On each of the as-fabricated micro-probes, arrays of thermocouples made of Pd–Cr thin-film stripes with reliable thermal sensing functions were built, together with Pd electrode openings for detecting electrical signals. The as-fabricated sword-shaped freestanding microprobes with length up to 30 mm showed excellent mechanical strength and elastic properties when they were inserted into the brain and muscle tissues of live rats, as well as suitable electrochemical properties and, therefore, are promising for potential biological applications.
Eliminating the Effect of Image Border with Image Periodic Decomposition for Phase Correlation Based Remote Sensing Image Registration
Authors: Dong Yunyun , Jiao Weili , Long Tengfei , Liu Lanfa , He Guojin
Published: May 2019

In the remote sensing community, accurate image registration is the prerequisite of the subsequent application of remote sensing images. Phase correlation based image registration has drawn extensive attention due to its high accuracy and high efficiency. However, when the Discrete Fourier Transform (DFT) of an image is computed, the image is implicitly assumed to be periodic. In practical application, it is impossible to meet the periodic condition that opposite borders of an image are alike, and image always shows strong discontinuities across the frame border. The discontinuities cause a severe artifact in the Fourier Transform, namely the known cross structure composed of high energy coefficients along the axes. Here, this phenomenon was referred to as effect of image border. Even worse, the effect of image border corrupted its registration accuracy and success rate. Currently, the main solution is blurring out the border of the image by weighting window function on the reference and sensed image. However, the approach also inevitably filters out non-border information of an image. The existing understanding is that the design of window function should filter as little information as possible, which can improve the registration success rate and accuracy of methods based on phase correlation. In this paper, another approach of eliminating the effect of image border is proposed, namely decomposing the image into two images: one being the periodic image and the other the smooth image. Replacing the original image by the periodic one does not suffer from the effect on the image border when applying Fourier Transform. The smooth image is analogous to an error image, which has little information except at the border. Extensive experiments were carried out and showed that the novel algorithm of eliminating the image border can improve the success rate and accuracy of phase correlation based image registration in some certain cases. Additionally, we obtained a new understanding of the role of window function in eliminating the effect of image border, which is helpful for researchers to select the optimal method of eliminating the effect of image border to improve the registration success rate and accuracy.
Experimental Research on Interferometric Inverse Synthetic Aperture Radar Imaging with Multi-Channel Terahertz Radar System
Authors: Zhang Ye , Yang Qi , Deng Bin , Qin Yuliang , Wang Hongqiang
Published: May 2019

The all solid-state terahertz (THz) radar has obvious miniaturized integration and high resolution imaging advantages compared with conventional microwave radar. In this paper, a 0.22 THz active frequency-modulated pulse radar system with one transmission channel and four receiving channels is presented, and interferometric inverse synthetic aperture radar (InISAR) imaging experiments, which can acquire altitude information of objects, are carried out. In order to acquire high-quality InISAR images, a calibration method is presented to solve the nonlinearity of wideband signal frequency and phase inconsistency of different receiving channels together. Furthermore, to deal with the phase wrapping in InISAR imaging of objects with large scale, a novel method based on the dominant scatterers to estimate the objects rotation rate is presented. Finally, to show more information of objects in the InISAR images, the imaging results with a large rotation angle by the convolutional back-projection algorithm are obtained. The imaging results verify the superior performance of the multi-channel THz radar system and the imaging processing method, which can provide support for further research on InISAR imaging in the THz band.
Design of a RF Switch Used in Redundant Atomic Clock Configurations
Authors: Hou Yuqing , Wang Sangyuan , Tang Sheng , Zhang Tao
Published: May 2019

Atomic clocks provide frequency reference signals for communication, aerospace, satellite navigation and other systems. The redundant configuration of atomic clocks is necessary for ensuring the continuity and stability of the system. A radio frequency (RF) switch is usually used as a switching device in the switching system of the host atomic clock and the backup atomic clock. When the atomic clock fails, the switching between the host and the backup clock can be carried out quickly. Aiming at the fast switching requirements of atomic clock RF signals, this paper proposes a new series-shunt Positive Intrinsic Negative (PIN) switch design. In this paper, the evaluation of the RF switches is conducted by using the metrics of switching speed, insertion loss, isolation, return loss at on state and return loss at off state. Experimental result shows that the new PIN switch has better and more comprehensive performance metrics than the electromechanical switch, FET switch and conventional PIN switch. In particular, the switching speed is 53 ns faster than the conventional series-shunt PIN switch.
The Historic City, Its Transmission and Perception via Augmented Reality and Virtual Reality and the Use of the Past as a Resource for the Present: A New Era for Urban Cultural Heritage and Tourism?
Authors: Barrado-Timón Diego A. , Hidalgo-Giralt Carmen
Published: May 2019

The objective of this study is to analyze the impact that augmented reality (AR) and virtual reality (VR) are having on our conception, appreciation, and use of urban heritage spaces. Although most evaluations that appear in the specialized literature are clearly positive in this respect, there is a critical line of thought that considers these new technologies as connected to prior theoretical assumptions about heritage, in terms of what we value, how we value it, and for what reasons. To contrast the two perspectives, we have selected and examined scientific literature evaluating the application of AR and VR in urban heritage spaces, in order to analyze whether, in addition to positive effects, certain negatives linked to the ‘virtualization’ of space are also at work. A qualitative methodology has been developed supported by the ATLAS.ti tool (Scientific Software Development GmbH, Berlin, Germany), which allows definition of the different thematic lines treated in the literature as well as the connections between them. Our main conclusion is that concerns around the critical aspects are very limited, with only a few perceiving the possible dangers of trivialization of heritage, the creation of virtual tourist worlds separate from the material space of socio-economic relations, negative effects on the way in which knowledge is constructed, or the difficulties for some user groups in accessing these technologies.
Does Fallowing Cultivated Land Threaten Food Security? Empirical Evidence from Chinese Pilot Provinces
Authors: Yang Qingyuan , Yang Renhao , Wang Yahui , Shi Kaifang
Published: May 2019

Facing worsening problems, including the decreasing amount, quality, and deterioration of land ecosystems, cultivated land needs protective measures. China has been conducting an experimental fallow policy to deter these problems in five pilot provinces since 2016. However, inadequate and inconclusive studies of the impacts of fallow policy on food security have motivated the authors to fill this knowledge gap and to provide evidence for policy-making. Using the modified cultivated land pressure model, this study explores the cultivated land pressure at three scales (nation, province, and prefecture) to determine the capacity of feeding people using cultivated land, and examines the impact of fallowing cultivated land. There are three main findings. First, the cultivated land pressure in China continually decreased during the period of 2000–2016, and would remain in a decreasing trend during 2017–2020 even if the measures implemented doubled the fallowing scale every year. Second, the spatial patterns of the cultivated land pressure between the provincial and prefectural scale show a similar overview, with some nuanced disparities. Finally, the five pilot provinces show various amplitudes of variation in cultivated land pressure, ranging from 0.017% to 9.027% under three fallow scale scenarios. Thus, the results of this research support the argument that fallow policy will not threaten food security at a national and provincial scale, based on the current fallow scale and enlargement pace. The deeper understanding of the impact of fallow policy provides a scientific reference for policymaking and calls for further studies focusing on a more comprehensive measurement of cultivated land pressure and optimization fallow scale.
Estimating Sustainable Harvest Rates for European Hare (Lepus Europaeus) Populations
Authors: Schai-Braun Stéphanie C. , Kowalczyk Christine , Klansek Erich , Hackländer Klaus
Published: May 2019

Hunting quotas are used to manage populations of game species in order to ensure sustainable exploitation. However, unpredictable climatic events may interact with hunting. We established a population model for European hares (Lepus europaeus) in Lower Austria. We compared the sustainability of voluntary quotas used by hunters—which are derived from hare-specific guidelines—with the actual numbers of hares shot and our recommended quotas for hares, which have been derived from climate and population modeling. We used population modeling based on vital rates and densities to adjust our recommended quotas in order to achieve sustainable harvest. The survival of age classes 1 and 3 had the highest impact on the population growth rate. Population viability analysis showed that a recommended quota with a harvest rate of 10% was sustainable for population densities of 45 hares/km2, and that the threshold for hunting should be raised from 10 hares/km2 so that hare populations with <15 hares/km2 are not hunted. The recommended quota outperformed the voluntary hunting quota, since more hares could be harvested sustainably. Age Class 1 survival was strongly linked with weather: a single year with unfavorable weather conditions (low precipitation) negatively affected population densities. Game species, including the European hare, face increasingly frequent weather extremes due to climate change, so hunting quotas need to be sensitive to frequent population fluctuations.
The Role of Trust in Sustainable Heritage Management Networks. Case Study of Selected Cultural Routes in Poland
Authors: Bogacz-Wojtanowska Ewa , Góral Anna , Bugdol Marek
Published: May 2019

Currently, the most common way of managing cultural heritage in a sustainable manner takes the form of cultural routes. The phenomenon of cultural routes mainly results from their innovative organisation, different from the previously adopted institutionalised and formalised heritage management structure that did not align with the contemporary discourse around cultural heritage, which currently constitutes one of the bases of sustainable development. The novel idea focuses on the active involvement of many diverse entities in heritage management: not only public sector organisations with their statutory appointment for this purpose, but, first and foremost, entrepreneurs who create heritage products, tourists visiting sites on the route, or people who create this heritage. Thus, the cultural route acquires the characteristics of a network-points (nodes) that are shaped depending on the needs of the region and its inhabitants, their knowledge, experience, current ideas about a given place, and the way in which specific communities would like to be perceived. The undertaken research problem explores what features cultural route networks have and how they are managed, as well as what values, including trust, are manifested in the mutual relations of route-related entities. An original concept of shaping trust within the network of cultural routes has also been proposed based on the research results.
Proposal for Planning an Integrated Management of Hazardous Waste: Chemical Park, Jiangsu Province, China
Authors: Wang Weixia , Bao Jian , Yuan Sijia , Zhou Haiyun , Li Guoping
Published: May 2019

This study elucidates the current state of hazardous waste management in industrial parks with a particular focus on Jiangsu Province. The development of the Internet of Things and big data technology has encouraged the application of intelligent technologies for hazardous waste management. However, the concept of considering each chemical park as a large enterprise have been suggested to reduce potential risks from the transportation of hazardous waste, help local environmental protection departments intuitively understand the position of park administrators, and to realize cyclic utilization of hazardous waste resources. We propose integrated management of hazardous waste at the chemical park level. In this study, principles such as integrated closed management, data unification, clustering management, and intelligent technologies were introduced for hazardous waste management in chemical parks. Additionally, potential approaches, such as a unified environmental butler service, an intelligent standard box system, and system optimization scenarios, are proposed and comprehensively explained. These approaches are likely to enable informed, structured, comprehensive, and interdisciplinary management of hazardous waste not only in chemical parks but also in industrial parks in general in the future.
HEREVEA Tool for Economic and Environmental Impact Evaluation for Sustainable Planning Policy in Housing Renovation
Authors: Ruiz-Pérez María Rocío , Alba-Rodríguez Mª Desirée , Castaño-Rosa Raúl , Solís-Guzmán Jaime , Marrero Madelyn
Published: May 2019

Dwelling renovation has gained major importance in the European Union due to the current need for the urban regeneration of many cities, most of whose existing buildings (approximately 60%) were built in the 1960s to 1980s. These renovations require improvements in aspects such as structural integrity, accessibility, and the updating of deteriorated or obsolescent installations. This reveals that building renovations constitute a key factor in the future of the European building sector and must be included in strategies both for the reduction of this sector’s environmental impact and for climate change mitigation. In order to determine the effectiveness of renovations and their impact, the HEREVEA (Huella Ecológica de la Rehabilitacion de Viviendas en Andalucia or Ecological Footprint of the Renovation of Dwellings in Andalusia) model is proposed on data obtained from the project’s bill of quantities, its ecological footprint is assessed, and the economic-environmental feasibility of different proposals are evaluated simultaneously. The resulting model is integrated into a geographic information system, which allows georeferenced results. The tool can be used for sustainable and resilient planning policy-making at all government levels, and for the decision-making processes. In this paper, economic and environmental indicators are, for the first time, simultaneously assessed through statistical normalization obtained from 50 cases analyzed in the city of Seville. Furthermore, five case studies are assessed in detail in order to determine the sensitivity of the model. These renovations represent less than 30% of the cost and 6% of the ecological footprint of a new construction project. During the subsequent 25 years, the energy efficiency improvements could significantly reduce the CO2 emissions that are due to direct consumption.
The Effect of Fertilizers on Biomass and Biodiversity on a Semi-Arid Grassland of Northern China
Authors: Tong Zongyong , Quan Guoling , Wan Liqiang , He Feng , Li Xianglin
Published: May 2019

Semi-arid grassland in northern China faces degradation and desertification problems, with fertilizer application appearing to be a potential solution by improving soil fertility and plant fields or biodiversity. In this study, mineral and organic fertilizers were used in a semi-arid natural grassland in Hebei Province for three years. The plant characteristics, biomass and species diversity index were assessed and analyzed. In the years 2016 and 2017, mineral fertilizers (RC) significantly increased the total aboveground biomass and the aboveground biomass, natural height, density and coverage of Leymus chinensis compared with organic fertilizers (RO), especially at a moderate application rate (RC2). Leymus chinensis was first divided into its own group and then separated into four groups via cluster tree analysis. The importance values of Leymus chinensis showed continuous increases in mineral fertilizer treatments, but not for organic fertilizers. Margalef’s species richness indexes increased significantly (to 2.09) in the organic treatment (RO1) when compared with RC2. Thus, it was concluded that mineral fertilizers could enhance the position of Leymus chinensis in the natural grassland, while organic fertilizers could promote species biodiversity. This study also provides recommendations regarding the use of fertilizers for the purposes of increasing plant biomass and biodiversity in semi-arid grasslands of northern China.
Czech–Polish Cross-Border (Non) Cooperation in the Field of the Labor Market: Why Does It Seem to Be Un-De-Bordered?
Authors: Böhm Hynek , Opioła Wojciech
Published: May 2019

The Czech–Polish border is almost 800 kilometres long. Since 1991, 6 Euroregions and two European Groupings of Territorial Co-operation (EGTC) were created and have been conducting cross-border cooperation (CBC) along the entire length of the border. This was probably also the institutionalisation of cross-border co-operation, what has helped to reach and maintain a high level of mutual Czech–Polish relations. What can therefore be considered striking or surprising is a rather low level of cross-border labor mobility between the labor forces of both countries. Authors therefore attempted to identify projects and initiatives in the field of the cross-border labor market along the entire border. Research showed that the CBC stakeholders don’t prioritise co-operation in the field of the labor market, as they don’t see any real cross-border demand. There are some exceptions, driven mainly by the automotive and mining industries in Czechia attracting a Polish workforce. The main reason for the relatively low level of Czech–Polish cross-border co-operation in the field of the labor market is an absence of a major economic engine on either side of the border, rather than any kind of hostile or re-bordering sentiments in mutual relations between subjects from both countries.
Climate Change Affects Forest Productivity in a Typical Climate Transition Region of China
Authors: Ding Yongxia , Liang Siqi , Peng Shouzhang
Published: May 2019

As global climate change has a large effect on the structure and function of vegetation, it is very important to understand how forests in climate transition regions respond to climate change. The present study investigates the net primary productivity (NPP) of two planted forests (Robinia pseudoacacia and Pinus tabulaeformis) and one natural forest (Quercus wutaishanica) from 1951–2100 using the LPJ-GUESS model in the Shaanxi province of China, which is a typical transition region from humid to dry climates. We found that: (1) Future annual precipitation and mean temperature exhibited nonsignificant and significant increasing trend in the region, respectively, indicating a drier climate in future; (2) although precipitation would increase in the dry area and decrease in the humid area, the NPP of each species in the dry area would be lower than that of the humid area, possibly because increasing temperature and CO2 concentration could restrain forest growth in dry areas and promote forest growth in humid areas; (3) of the three species, P. tabulaeformis forest exhibited the highest average NPP and R. pseudoacacia forest exhibited the highest NPP trend in both dry and humid areas, indicating these planted species may be adaptable to future climate change. Our results provide novel insights into the potential response of forest productivity to a changing climate in the transition region from humid to dry climates.
Massive Open Online Education for Environmental Activism: The Worldwide Problem of Marine Litter
Authors: Tabuenca Bernardo , Kalz Marco , Löhr Ansje
Published: May 2019

(1) The amount of plastic discharges in the environment has drastically increased in the last decades negatively affecting aquatic ecosystems, societies, and the world economy. The policies initiated to deal with this problem are insufficient and there is an urgency to initiate local actions based on a deep understanding of the factors involved. (2) This paper investigates the potential of massive open online courses (MOOCs) to spread environmental education. Therefore, the conclusions drawn from the implementation of a MOOC to combat the problem of marine litter in the world are presented. (3) This work describes the activity of 3632 participants from 64 countries taking an active role presenting useful tools, connecting them with the main world associations, and defining applied action plans in their local area. Pre- and post-questionnaires explore behavioral changes regarding the actions of participants to combat marine litter. The role of MOOCs is contrasted with social media, formal education, and informal education. (4) Findings suggest that MOOCs are useful instruments to promote environmental activism, and to develop local solutions to global problems, for example, clean beaches, supplanting plastic bottles, educational initiatives, and prohibition of single-use plastic.
Ranking of Risks for Existing and New Building Works
Authors: Li Rita Yi Man , Chau Kwong Wing , Zeng Frankie Fanjie
Published: May 2019

Site safety is one critical factor affecting the sustainability of skyscrapers and decoration, repair, and maintenance projects. Many newly-built skyscrapers exceed 50 storeys in Hong Kong and decoration, repair, and maintenance projects are widely performed to extend the lifespans of buildings. Although many cities do not contain skyscrapers at present, this will change in the future. Likewise, more decoration, repair, and maintenance projects will emerge. Thus, the present research, which compares the safety risks among the new and DSR projects, provides insights for builders, policymakers, and safety personnel. Moreover, research studies which rank and compare decoration, repair, and maintenance projects and new skyscraper constructions are scarce. The use of the evidence-based practice approach, which aims to narrow the gap between practice and academia in construction safety research, is the first of its kind. In this paper, we firstly provide a systematic literature review from 1999 to 2019 regarding construction safety, and then study the industry’s perspectives by analysing the construction practitioners’ interview results, court cases, and analytic hierarchy process survey results to compare them with the literature. It is found that the generation gap and prolonged working hours lead to accidents—a phenomenon which is unique in Hong Kong and absent from the literature. It also reveals that most accidents happen on new building sites due to tower crane failure, while those on DSR projects are linked with the circular saw. Although many of the contractors involved in new buildings are wealthier than DSR contractors, it is surprising to learn that lack of funding for safety is the most important factor linked to safety risks on the sites.
Firm Growth and R&D in the Korean Pharmaceutical Industry
Authors: Chung Hyunseog , Eum Soomin , Lee Chulung
Published: May 2019

We explore the impact of research and development (R&D) on sales growth rate with firm-specific factors under the Korean pharmaceutical industry structure using listed Korea pharmaceutical company data from 2007 to 2018 with the quantile regression technique. We find that R&D intensity has a positive effect on firm growth rate while R&D scale a negative effect on the firm growth rate at the upper quantile, whereas the result is opposite at the lower quantile. Firm size has a mixed relationship with sales growth at the upper quantile, thus Gibrat’s law is rejected in the Korean pharmaceutical industry. Firm age has a negative relationship with the sales growth rate at the upper quantile, which shows the consistent result with previous research that young firms grow faster. Patent persistence has a negative relationship with sales growth at the upper quantile, while a positive effect at the lower quantile. We show that young firms and firms with high R&D intensity contribute to the high growth rate, while the relationship is not clear at the lower quantile. Therefore, policy implication in this research is that the government should pay attention to encouraging and supporting R&D investment activities and small firms as well as consider ways to enhance patent rights.
Surviving through Incubation Based on Entrepreneurship-Specific Human Capital Development: The Moderating Role of Tenants’ Network Involvement
Authors: Zhang Li , Gao Ping , Zhou Yongtao , Zhang Yuchuan , Wang Junhua
Published: May 2019

Drawing upon human capital theory and the co-production view of business support processes, this paper investigates the moderating effects of network involvement on entrepreneurship-specific human capital (ESHC) that determines the tenants’ survival in an incubator. Longitudinal data between 2006 and 2009 of 71 ventures located in an incubator in China have been collected and analyzed. The research confirms that network involvement strengthens the influence of entrepreneurial experience on tenants’ successful graduation, but does not impact the relationship between entrepreneurial family background and tenants’ graduation.
Do Analysts Fully Reflect Information in Patents about Future Earnings?
Authors: Goh Jaimin , Lee Jaehong , Hur Wonchang , Ju Yunchang
Published: May 2019

This study investigates the relationship between a firm’s intellectual property (measured by patents) and its future business performance and information environments by focusing on financial analysts’ forecasting behavior. The results show that patent citations have more influence on future profitability than patent counts and financial analysts pay more attention to firms with patent citations by showing higher followings for those firms. However, the findings also suggest that analyst forecasts do not fully reflect the implications of the effect of patent citations on future earnings and this under-valuation can mislead investors. Thus, we conclude that financial analysts ‘partially’ improve the information environment in terms of patent citations.