bluuebunny/crossref_metadata_2025 huggingface dataset:
Hyperspectral Sea Ice Image Classification Based on the Spectral-Spatial-Joint Feature with Deep Learning
Authors: Han Yanling , Gao Yi , Zhang Yun , Wang Jing , Yang Shuhu
Published: September 2019

Sea ice is one of the causes of marine disasters. The classification of sea ice images is an important part of sea ice detection. The labeled samples in hyperspectral sea ice image classification are difficult to acquire, which causes minor sample problems. In addition, most of the current sea ice classification methods mainly use spectral features for shallow learning, which also limits further improvement of the sea ice classification accuracy. Therefore, this paper proposes a hyperspectral sea ice image classification method based on the spectral-spatial-joint feature with deep learning. The proposed method first extracts sea ice texture information by the gray-level co-occurrence matrix (GLCM). Then, it performs dimensionality reduction and a correlation analysis of the spectral information and spatial information of the unlabeled samples, respectively. It eliminates redundant information by extracting the spectral-spatial information of the neighboring unlabeled samples of the labeled sample and integrating the information with the spectral and texture data of the labeled sample to further enhance the quality of the labeled sample. Lastly, the three-dimensional convolutional neural network (3D-CNN) model is designed to extract the deep spectral-spatial features of sea ice. The proposed method combines relevant textural features and performs spectral-spatial feature extraction based on the 3D-CNN model by using a large amount of unlabeled sample information. In order to verify the effectiveness of the proposed method, sea ice classification experiments are carried out on two hyperspectral data sets: Baffin Bay and Bohai Bay. Compared with the CNN algorithm based on a single feature (spectral or spatial) and other CNN algorithms based on spectral-spatial features, the experimental results show that the proposed method achieves better sea ice classification (98.52% and 97.91%) with small samples. Therefore, it is more suitable for classifying hyperspectral sea ice images.
Ship Detection Using a Fully Convolutional Network with Compact Polarimetric SAR Images
Authors: Fan Qiancong , Chen Feng , Cheng Ming , Lou Shenlong , Xiao Rulin , Zhang Biao , Wang Cheng , Li Jonathan
Published: September 2019

Compact polarimetric synthetic aperture radar (CP SAR), as a new technique or observation system, has attracted much attention in recent years. Compared with quad-polarization SAR (QP SAR), CP SAR provides an observation with a wider swath, while, compared with linear dual-polarization SAR, retains more polarization information in observations. These characteristics make CP SAR a useful tool in marine environmental applications. Previous studies showed the potential of CP SAR images for ship detection. However, false alarms, caused by ocean clutter and the lack of detailed information about ships, largely hinder traditional methods from feature selection for ship discrimination. In this paper, a segmentation method designed specifically for ship detection from CP SAR images is proposed. The pixel-wise detection is based on a fully convolutional network (i.e., U-Net). In particular, three classes (ship, land, and sea) were considered in the classification scheme. To extract features, a series of down-samplings with several convolutions were employed. Then, to generate classifications, deep semantic and shallow high-resolution features were used in up-sampling. Experiments on several CP SAR images simulated from Gaofen-3 QP SAR images demonstrate the effectiveness of the proposed method. Compared with Faster RCNN (region-based convolutional neural network), which is considered a popular and effective deep learning network for object detection, the newly proposed method, with precision and recall greater than 90% and a F1 score of 0.912, performs better at ship detection. Additionally, findings verify the advantages of the CP configuration compared with single polarization and linear dual-polarization.
Ship Detection in Optical Satellite Images via Directional Bounding Boxes Based on Ship Center and Orientation Prediction
Authors: Ma Jinlei , Zhou Zhiqiang , Wang Bo , Zong Hua , Wu Fei
Published: September 2019

To accurately detect ships of arbitrary orientation in optical remote sensing images, we propose a two-stage CNN-based ship-detection method based on the ship center and orientation prediction. Center region prediction network and ship orientation classification network are constructed to generate rotated region proposals, and then we can predict rotated bounding boxes from rotated region proposals to locate arbitrary-oriented ships more accurately. The two networks share the same deconvolutional layers to perform semantic segmentation for the prediction of center regions and orientations of ships, respectively. They can provide the potential center points of the ships helping to determine the more confident locations of the region proposals, as well as the ship orientation information, which is beneficial to the more reliable predetermination of rotated region proposals. Classification and regression are then performed for the final ship localization. Compared with other typical object detection methods for natural images and ship-detection methods, our method can more accurately detect multiple ships in the high-resolution remote sensing image, irrespective of the ship orientations and a situation in which the ships are docked very closely. Experiments have demonstrated the promising improvement of ship-detection performance.
Hybrid Urban Canyon Pedestrian Navigation Scheme Combined PDR, GNSS and Beacon Based on Smartphone
Authors: Ye Junhua , Li Yaxin , Luo Huan , Wang Jingxian , Chen Wu , Zhang Qin
Published: September 2019

This study presents a comprehensive urban canyon pedestrian navigation scheme. This scheme combines smart phone internal MEMS sensors, GNSS and beacon observations together. Heading estimation is generally a key issue of the PDR algorithm. We design an orientation fusion algorithm to improve smart phone heading using MEMS measurements. Static and kinematic tests are performed, superiority of the improved heading algorithm is verified. We also present different heading processing solutions for comparison and analysis. Heading bias increases with time due to error accumulation and model inaccuracy. Thus, we develop a related heading calibration method based on beacons. This method can help correct smart phone headings continuously to decrease cumulative error. In addition to PDR, we also use GNSS and beacon measurements to integrate a fusion location. In the fusion procedure, we design related algorithms to adjust or limit the use of these different type observations to constrain large jumps in our Kalman filter model, thereby making the solution stable. Navigation experiments are performed in the streets of Mong Kok and Wanchai, which are typically the most crowded areas of Hong Kong, with narrow streets and many pedestrians, vehicles and tall buildings. The first experiment uses the strategy PDR + GNSS + beacon, in east–west orientation street, in which 10 m positioning error is improved from 30 % (smart phone internal GNSS) to 80 % and in south–north orientation street, in which 15 m positioning error is improved from 20 % (smart phone internal GNSS) to 80 % . The second experiment performs two long-distance tests without any beacons, in which the fusion scheme also has significant improvement, that is, 10 m positioning error is improved from 38 % to 60 % .
Unrest at Domuyo Volcano, Argentina, Detected by Geophysical and Geodetic Data and Morphometric Analysis
Authors: Astort Ana , Walter Thomas R. , Ruiz Francisco , Sagripanti Lucía , Nacif Andrés , Acosta Gemma , Folguera Andrés
Published: September 2019

New volcanic unrest has been detected in the Domuyo Volcanic Center (DVC), to the east of the Andes Southern Volcanic Zone in Argentina. To better understand this activity, we investigated new seismic monitoring data, gravimetric and magnetic campaign data, and interferometric synthetic aperture radar (InSAR) deformation maps, and we derived an image of the magma plumbing system and the likely source of the unrest episode. Seismic events recorded during 2017–2018 nucleate beneath the southwestern flank of the DVC. Ground deformation maps derived from InSAR processing of Sentinel-1 data exhibit an inflation area exceeding 300 km2, from 2014 to at least March 2018, which can be explained by an inflating sill model located 7 km deep. The Bouguer anomaly reveals a negative density contrast of ~35 km wavelength, which is spatially coincident with the InSAR pattern. Our 3D density modeling suggests a body approximately 4–6 km deep with a density contrast of –550 kg/m3. Therefore, the geophysical and geodetic data allow identification of the plumbing system that is subject to inflation at these shallow crustal depths. We compared the presence and dimensions of the inferred doming area to the drainage patterns of the area, which support long-established incremental uplift according to morphometric analysis. Future studies will allow us to investigate further whether the new unrest is hydrothermal or magmatic in origin.
Elemental: An Open-Source Wireless Hardware and Software Platform for Building Energy and Indoor Environmental Monitoring and Control
Authors: Ali Akram Syed , Coté Christopher , Heidarinejad Mohammad , Stephens Brent
Published: September 2019

This work demonstrates an open-source hardware and software platform for monitoring the performance of buildings, called Elemental, that is designed to provide data on indoor environmental quality, energy usage, HVAC operation, and other factors to its users. It combines: (i) custom printed circuit boards (PCBs) with RFM69 frequency shift keying (FSK) radio frequency (RF) transceivers for wireless sensors, control nodes, and USB gateway, (ii) a Raspberry Pi 3B with custom firmware acting as either a centralized or distributed backhaul, and (iii) a custom dockerized application for the backend called Brood that serves as the director software managing message brokering via Message Queuing Telemetry Transport (MQTT) protocol using VerneMQ, database storage using InfluxDB, and data visualization using Grafana. The platform is built around the idea of a private, secure, and open technology for the built environment. Among its many applications, the platform allows occupants to investigate anomalies in energy usage, environmental quality, and thermal performance via a comprehensive dashboard with rich querying capabilities. It also includes multiple frontends to view and analyze building activity data, which can be used directly in building controls or to provide recommendations on how to increase operational efficiency or improve operating conditions. Here, we demonstrate three distinct applications of the Elemental platform, including: (1) deployment in a research lab for long-term data collection and automated analysis, (2) use as a full-home energy and environmental monitoring solution, and (3) fault and anomaly detection and diagnostics of individual building systems at the zone-level. Through these applications we demonstrate that the platform allows easy and virtually unlimited datalogging, monitoring, and analysis of real-time sensor data with low setup costs. Low-power sensor nodes placed in abundance in a building can also provide precise and immediate fault-detection, allowing for tuning equipment for more efficient operation and faster maintenance during the lifetime of the building.
Ultrathin Tunable Lens Based on Boundary Tension Effect
Authors: Yang Ao , Cao Jie , Zhang Fanghua , Cheng Yang , Hao Qun
Published: September 2019

Solid and liquid lenses are commonly used in optical design. Such lenses have suitable thicknesses due to their working principle and processing mode. Thus, zoom optical systems comprising solid and liquid lenses are extremely large. This work presents a new ultrathin tunable lens (UTL) comprising two liquid film lenses (LFLs) obtained through aspheric deformation and produced from the surface of a micro-liquid under gravity and boundary tension. The UTL can flexibly change focal lengths between positive and negative lenses when the device thickness is merely 2.15 mm. The proposed lens has the advantages of small volume, light weight, simple fabrication, and independence from external force during zooming. This research makes up for the drawback that traditional solid and liquid lenses cannot further reduce their thicknesses. The proposed UTL provides a new lens form and fabrication method, and can be used to replace solid and liquid lenses for designing miniature zoom optical systems.
Deceleration Planning Algorithm Based on Classified Multi-Layer Perceptron Models for Smart Regenerative Braking of EV in Diverse Deceleration Conditions
Authors: Sim Gyubin , Min Kyunghan , Ahn Seongju , Sunwoo Myoungho , Jo Kichun
Published: September 2019

The smart regenerative braking system (SRS) is an autonomous version of one-pedal driving in electric vehicles. To implement SRS, a deceleration planning algorithm is necessary to generate the deceleration used in automatic regenerative control. To reduce the discomfort from the automatic regeneration, the deceleration should be similar to human driving. In this paper, a deceleration planning algorithm based on multi-layer perceptron (MLP) is proposed. The MLP models can mimic the human driving behavior by learning the driving data. In addition, the proposed deceleration planning algorithm has a classified structure to improve the planning performance in each deceleration condition. Therefore, the individual MLP models were designed according to three different deceleration conditions: car-following, speed bump, and intersection. The proposed algorithm was validated through driving simulations. Then, time to collision and similarity to human driving were analyzed. The results show that the minimum time to collision was 1.443 s and the velocity root-mean-square error (RMSE) with human driving was 0.302 m/s. Through the driving simulation, it was validated that the vehicle moves safely with desirable velocity when SRS is in operation, based on the proposed algorithm. Furthermore, the classified structure has more advantages than the integrated structure in terms of planning performance.
Improved Traffic Sign Detection and Recognition Algorithm for Intelligent Vehicles
Authors: Cao Jingwei , Song Chuanxue , Peng Silun , Xiao Feng , Song Shixin
Published: September 2019

Traffic sign detection and recognition are crucial in the development of intelligent vehicles. An improved traffic sign detection and recognition algorithm for intelligent vehicles is proposed to address problems such as how easily affected traditional traffic sign detection is by the environment, and poor real-time performance of deep learning-based methodologies for traffic sign recognition. Firstly, the HSV color space is used for spatial threshold segmentation, and traffic signs are effectively detected based on the shape features. Secondly, the model is considerably improved on the basis of the classical LeNet-5 convolutional neural network model by using Gabor kernel as the initial convolutional kernel, adding the batch normalization processing after the pooling layer and selecting Adam method as the optimizer algorithm. Finally, the traffic sign classification and recognition experiments are conducted based on the German Traffic Sign Recognition Benchmark. The favorable prediction and accurate recognition of traffic signs are achieved through the continuous training and testing of the network model. Experimental results show that the accurate recognition rate of traffic signs reaches 99.75%, and the average processing time per frame is 5.4 ms. Compared with other algorithms, the proposed algorithm has remarkable accuracy and real-time performance, strong generalization ability and high training efficiency. The accurate recognition rate and average processing time are markedly improved. This improvement is of considerable importance to reduce the accident rate and enhance the road traffic safety situation, providing a strong technical guarantee for the steady development of intelligent vehicle driving assistance.
An Adaptive Real-Time Detection Algorithm for Dim and Small Photoelectric GSO Debris
Authors: Sun Quan , Niu Zhaodong , Wang Weihua , Li Haijing , Luo Lang , Lin Xiaotian
Published: September 2019

Geosynchronous orbit (GSO) is the ideal orbit for communication, navigation, meteorology and other satellites, but the space of GSO is limited, and there are still a large number of space debris threatening the safety of spacecraft. Therefore, real-time detection of GSO debris is necessary to avoid collision accidents. Because radar is limited by transmitting power and operating distance, it is difficult to detect GSO debris, so photoelectric detection becomes the mainstream way to detect GSO debris. This paper presents an adaptive real-time detection algorithm for GSO debris in the charge coupled device (CCD) images. The main work is as follows: An image adaptive fast registration algorithm and an enhanced dilation difference algorithm are proposed. Combining with mathematical morphology, threshold segmentation and global nearest neighbor (GNN) multi-target tracking algorithm, the functions of image background suppression, registration, suspected target extraction and multi-target tracking are realized. The processing results of a large number of measured data show that the algorithm can detect dim geostationary earth orbit (GEO) and non-GEO debris in GSO belt stably and efficiently, and the processing speed meets the real-time requirements, with strong adaptive ability, and has high practical application value.
Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks
Authors: Huan Xintao , Kim Kyeong Soo , Lee Sanghyuk , Kim Moon Keun
Published: September 2019

Energy efficiency and end-to-end delay are two of the major requirements for the monitoring and detection applications based on resource-constrained wireless sensor networks (WSNs). As new advanced technologies for accurate monitoring and detection—such as device-free wireless sensing schemes for human activity and gesture recognition—have been developed, time synchronization accuracy becomes an important requirement for those WSN applications too. Message bundling is considered one of the effective methods to reduce the energy consumption for message transmissions in WSNs, but bundling more messages increases the transmission interval of bundled messages and thereby their end-to-end delays; the end-to-end delays need to be maintained within a certain value for time-sensitive applications like factory monitoring and disaster prevention, while the message transmission interval affects time synchronization accuracy when the bundling includes synchronization messages as well. Taking as an example a novel WSN time synchronization scheme recently proposed for energy efficiency, we investigate an optimal approach for message bundling to reduce the number of message transmissions while maintaining the user-defined requirements on end-to-end delay and time synchronization accuracy. Formulating the optimal message bundling problem as integer linear programming, we compute a set of optimal bundling numbers for the sensor nodes to constrain their link-level delays, thereby achieving and maintaining the required end-to-end delay and synchronization accuracy. Extensive experimental results based on a real WSN testbed using TelosB sensor nodes demonstrate that the proposed optimal bundling could reduce the number of message transmissions about 70% while simultaneously maintaining the required end-to-end delay and time synchronization accuracy.
Fast Measurements with MOX Sensors: A Least-Squares Approach to Blind Deconvolution
Authors: Martinez Dominique , Burgués Javier , Marco Santiago
Published: September 2019

Metal oxide (MOX) sensors are widely used for chemical sensing due to their low cost, miniaturization, low power consumption and durability. Yet, getting instantaneous measurements of fluctuating gas concentration in turbulent plumes is not possible due to their slow response time. In this paper, we show that the slow response of MOX sensors can be compensated by deconvolution, provided that an invertible, parametrized, sensor model is available. We consider a nonlinear, first-order dynamic model that is mathematically tractable for MOX identification and deconvolution. By transforming the sensor signal in the log-domain, the system becomes linear in the parameters and these can be estimated by the least-squares techniques. Moreover, we use the MOX diversity in a sensor array to avoid training with a supervised signal. The information provided by two (or more) sensors, exposed to the same flow but responding with different dynamics, is exploited to recover the ground truth signal (gas input). This approach is known as blind deconvolution. We demonstrate its efficiency on MOX sensors recorded in turbulent plumes. The reconstructed signal is similar to the one obtained with a fast photo-ionization detector (PID). The technique is thus relevant to track a fast-changing gas concentration with MOX sensors, resulting in a compensated response time comparable to that of a PID.
Making Food Rescue Your Business: Case Studies in Germany
Authors: Sedlmeier Regina , Rombach Meike , Bitsch Vera
Published: September 2019

Initiatives of the European Union in the context of food waste running governmental and nonprofit campaigns strive to reach waste reduction goals. The study investigated entrepreneurial business models in the arena of food waste in Germany with a multiple case study research approach. Business entrepreneurs seek to reduce waste through its monetarization. After the initial identification of close to all current entrepreneurial businesses, ten entrepreneurs in retail, processing, and food service were interviewed to determine barriers and challenges to the models’ success and analyze their motivation to start these businesses. The most important barriers constituted logistical problems regarding supply as well as marketing; and the need for close collaboration with suppliers constituted another important challenge. Their motivations combine sustainability-oriented goals with a profit goal. To scale up, an increase in collaboration and data exchange is needed across the supply chain.
The Technical Efficiency of French Regional Airports and Low-Cost Carrier Terminals
Authors: Hong Seock-Jin , Jeon Minjun
Published: September 2019

In France, the regional airport’s demand for services is facing challenges due to the continuous expansion of the high-speed train, high-speed line, and highway networks. This study focuses on the viability of regional airports in France through technical efficiency using data envelopment, principle component analysis, Malmquist productivity index, and regression analysis using bootstrapping. To face the current competitive environment, the regional airports in France adopted strategies, such as the construction of low-cost carrier (LCC)-dedicated terminals (LCCTs) with lower expenses to attract more LCCs, increasing non-aeronautical revenue, and hosting regional hubs of LCCs. This is the first study that analyzes all of the French regional airports. The findings indicate that the existence of LCCTs positively affects technical efficiency on the airport’s performance, and share of LCCs at a regional airport leads to neither the efficiency nor the profit level.
Transportation Efficiency Evaluation Considering the Environmental Impact for China’s Freight Sector: A Parallel Data Envelopment Analysis
Authors: Tang Tianbo , You Jianxin , Sun Hui , Zhang Hao
Published: September 2019

The freight sector is an important component of China’s national economy. It is composed of multiple sub-sectors and has a complex internal structure. This internal structure can hide information on the freight sector’s operational performance. Previous studies on transportation operational performance made measurements based on the whole transportation sector, and all of these studies ignored the impacts that the internal structure of the sub-sectors have on performance, which leaves a gap in the research. To illustrate this structure, this study proposes a parallel slacks-based measure model to measure transportation efficiency, which can represent the freight sector’s operational performance. The efficiencies of transportation operations for the whole freight sector and its three sub-sectors are further measured, by treating the sub-sectors as parallel subunits. Then, the inefficiency sources from the sub-sectors can be identified by the proposed model. To detect the environmental impact on transportation operations, energy consumption and carbon dioxide emissions are also considered in the evaluation. On the basis of the proposed approach, an application of the Chinese freight sector from 2013 to 2017 is provided. The impacts of influential factors on transportation efficiency are also explored. The empirical findings can be illustrated as follows: (1) there exist significant disparities in regional transportation efficiencies in the freight sector and its sub-sectors; (2) the inefficient transportation performance of the Chinese freight sector mainly derives from the poor performance of the waterway sub-sector; and (3) freight volume and population density have positive impacts on the transportation efficiencies of the railway and highway sub-sectors. Finally, some policies for improving transportation efficiency are also provided.
Ambidexterity in External Knowledge Search Strategies and Innovation Performance: Mediating Role of Balanced Innovation and Moderating Role of Absorptive Capacity
Authors: Kim Choo Yeon , Lim Myung Sub , Yoo Jae Wook
Published: September 2019

The importance of external knowledge acquisition for innovation by firms is well established. In particular, there has been an increasing focus on the two distinct modes of firms’ external search strategies, which have a differential effect on their learning and innovation: search breadth and depth. By applying organizational ambidexterity lens, we hypothesize that pursuing high levels of both external search strategies is beneficial to achieve a balance between exploitative and explorative innovation, which, in turn, has a positive impact on the firm’s innovation performance. We also hypothesize that, even among the firms that maintain high levels of both search strategies, firms with higher absorptive capacity better achieve a balance between both modes of innovation, thereby producing higher performance. The findings on a multi-industry sample of Koran manufacturing firms confirm our hypotheses and imply that it is essential for firms to develop capabilities for different modes of external search activities in conjunction with internal absorptive capacity for superior innovation performance.
Reading Habits, Socioeconomic Conditions, Occupational Aspiration and Academic Achievement in Vietnamese Junior High School Students
Authors: Le Thi-Thu-Hien , Tran Trung , Trinh Thi-Phuong-Thao , Nguyen Chi-Thanh , Nguyen Thuy-Phuong-Tram , Vuong Thu-Trang , Vu Thi-Hanh , Bui Dieu-Quynh , Vuong Ha-My , Hoang Phuong-Hanh , Nguyen Minh-Hoang , Ho Manh-Toan , Vuong Quan-Hoang
Published: September 2019

Reading practices play an important role in the learning process of students. Especially in a fast-changing world where knowledge about nature and society is in a constant state of flux, book reading helps students foster skills such as thinking, valuing, adaptability and creativity for sustainable development. This research study used a dataset of 1676 observations of junior high school students from Northern Vietnam to explore students’ academic achievement and its association with their reading passion, family socio economic condition, parental education and occupational aspiration. The empirical results show that higher grades in STEM-related subjects are predicted by reading interest (βReadbook = 0.425, p < 0.0001), with students who love reading books achieve higher score than those who take no interest in books. Remarkably, the education level of the mother strongly enhances academic performance, with β = 0.721 (p < 0.0001) in cases of mother having a university diploma or higher. Students coming from wealthy families are more likely to buy books whereas borrowing from the library is the main source of books for students who grow up in not-rich families. However, even among wealthy families, investment into buying books still rely more on personal interest, despite the aforementioned educational benefits of book reading, as evidenced by an over 7 percentage point disparity between the likelihood of purchasing books among wealthy-family students who took an interest in reading (45%) versus students of the same background who did not like to read (38.7%). The results present implications for education policy making with a vision towards United Nations’ Sustainable Development Goal 4: Quality Education.
Evaluating Evaporation Methods for Estimating Small Reservoir Water Surface Evaporation in the Brazilian Savannah
Authors: Althoff Daniel , Rodrigues Lineu Neiva , da Silva Demetrius David
Published: September 2019

Small reservoirs play a key role in the Brazilian savannah (Cerrado), making irrigation feasible and contributing to the economic development and social well-being of the population. A lack of information on factors, such as evaporative water loss, has an impact on the design and management of these reservoirs, as well as on regional water safety. Acquiring this information is crucial for hydrologists to develop more effective water resource management strategies and policies. This study assesses the performance of a diverse number of methods that are used to estimate evaporation and provides evaporation probability curves on a fortnightly period for small reservoirs in the Brazilian savannah region. Evaporation data were collected for a small water reservoir located in the Buriti Vermelho watershed, a typical dam of the Brazilian savannah region. Among the assessed methods, those of Kohler et al. (1955) and Linacre (1993) presented the best performances on both the daily and monthly scales for evaporation estimates. By simulating the evaporation rates for a timeseries, an increasing trend in evaporation was observed for the transition between the dry and wet seasons, jeopardizing double cropping in the region. The developed probability curves are an important tool for improving water resource planning and increasing the local water availability.
The Effect of Sunburn on Fruit Quality of cv. Idared Apple
Authors: Racskó József , Szabó Zoltán , Lakatos László , Lőrinczy Gábor , Nyéki József
Published: September 2019

The aim of this study is to investigate the effect of sunburn injury on fruit quality parameters (colour-coverage, depth of affected tissue, fruit flesh firmness, soluble solids content) of apple.The symptoms of sunburn injury appeared in concentric ring shape, differed from each other and surface colour-coverage. This can be due to the ratio of the injury. The authors observed the following colours on the fruit surface (from the epicentre of the blotch on the transversal diameter of the fruit) dark brown (strongly affected), light brown (moderately affected), pale red transition (poorly affected), red surface colour-coverage (not affected).Sunburn of apple fruits is a surface injury caused by solar radiation, heat and low air relative humidity that in the initial phase results in a light corky layer, golden or bronze discolouration, and injuries to the epidermal tissue, in the surface exposed to radiation. Thus it detracts from its appearance, but in most cases, it would not cause serious damage to the epidermal tissue. The depth of affected tissue is not considerable, its values are between 1.5-2.0 mm generally. It is commonly known that the tissue structure of apple fruit is not homogeneous. Accordingly, the degree of injury shows some differences under the different parts of the fruit surface.On the basis of flesh firmness research, the authors established that the measure of flesh firmness of the affected part of apple fruit increases with the effect of sunburn. The consequence of this is the suffered plant cells will die, the water content of this tissue decreases and the fruit gets harder. This water-loss caused the increase of soluble solids content.
Experiences of Waste Management at Agricultural Enterprises in Hajdú-Bihar County
Authors: Nagy Tamás Péter
Published: September 2019

The general tendency of the last few years has been that besides large agricultural Ltd.’s and firms, smaller agricultural enterprises also have to correspond to stricter environmental regulations.This process suits the EU’s environmental and waste management regulations. Recently, manure, liquid manure and addle are registered as non hazardous agricultural waste in waste management in Hungary.In the case of the amount of these wastes is larger than 200 t/year, one has to make an individual waste management plan.Accordingly, several small agricultural enterprises have to make individual waste management plants in Hajdú-Bihar County.This article is based on the results of these companies experiences.
Congruency Analyses in Agricultural Organizations
Authors: Tóth Anikó
Published: September 2019

Management is one of the ancient activities. Managerial behaviour helped humans to become sociable creatures. The aims and roles of management have continually changed along with social and economic changes. Some management theories in the early literature interpret the managerial function as „to instruct” and „to control” subordinates. The manager – having the appropriate authority – unilaterally appoints the expected activities in accordance with the objectives of the organization and his/her own wish. Its form is the instruction or the command.Later, organizations and management theories defined the managerial function rather as the impact on the employees than (or instead of) a unilateral manifestation of will. These focus on collaboration and imitation instead of on obedience. These theories were based on the fact that the employees work hard to succeed in meeting organizational goals because they want to meet their own needs, desires and wishes.Today, management means being in a relationship with colleagues, effective and successful working methods and, last but not least, commitment and liability for the company. The responsibilities of directors are to estimate the employees’ competences and to apply the workforce expediently.In our opinion, the two most important questions of human resource management (HRM) will be:• the expectations made of the manager by the subordinates,• the expectations made of the subordinates by the manager.The expectations of management have continuously evolved along with the social, political and economical improvement. We consider the most important requirements will be the following:• the exploitation of employees’ abilities (especially the leaders’),• the exploitation of human resource,• aim-oriented leadership related to different management levels.The actual research covers only the examination of managerial requirements. We experienced that the expectations are affected by many factors starting with the fulfillment of a specific task to the social environment as a whole. Managements of the last century did not require such self-reliance, creativity and broad knowledge from their subordinates as they do today. Employees have to be able to adapt to new tasks, technology and methods; have to react quickly against the problems; and be loyal to the company and the manager.We plan to expand our research backwards as well, in which we will search for the answer what kind of expectations are formulated by subordinates on the manager. Thus, we can approach and reveal the expectations (the examined factors) from two sides.Due to this method, we would like to work out such coherences which can help us to demonstrate the opinions of the differently qualified employees of the organisations. The applied method provides us facilities to carry it out in various organisational parameters, such as functional form, size, effectiveness, range of activity.
The Aalborg process and its Hungarian connections
Authors: Baják Imre
Published: September 2019

The four European Conferences on Sustainable Cities and Towns gave birth to documents that are important from the point of view of local sustainability. These are, in chronological order, the Aalborg Charter – 1994 Aalborg, the Lisbon Action Plan – 1996 Lisbon, the Hannover Call – 2000 Hannover, and the Aalborg Commitments – 2004 Aalborg. Throughout the process, the emphasis gradually moved from planning to the implementation of plans.Today, there are more than 2000 signatories of the Aalborg1A tanulmány az OTKA T-046704 sz. pályázatának támogatásával készült.Charter. The cutting edge of the process are Italy and Spain, the municipalities of these two countries add up to 80 per cent of all signatories. In both countries, the national commitment is given, but there is not a body that could coordinate the activities related to sustainability, so local governments play the major role in it. The constitutions of these two countries also pass on some duties that are relevant from the point of view of sustainability within the competence of local governments, and allow resources to implement them. In the case of the United Kingdom, the commitment of the national government, and especially the Prime Minister, is the major factor in the movement towards local sustainability.The former socialist countries in Europe, as well as Hungary are relatively underdeveloped economically, so the social and environmental pillars of sustainable development are pushed into the background behind the economical pillar. As a result of the lack of national commitment, there is no guidance and there are no case studies available, so only a small part of local governments are informed of this important international movement, and so are committed to it. The lack of resources is also a problem. The consequence of all this is that there are 35 municipalities from the Eastern European countries that joined the EU in 2004, and only four from Hungary – to mention by name Aba, Kecskemét, Monor and Nagykanizsa – that signed the Aalborg Charter.
Effect of dietary fatty acids on the oxidative stability and the colour of broiler meat
Authors: Pálfy Tamás , Gundel János
Published: September 2019

The aim of our investigation was to determine the effects of increased PUFA (polyunsaturated fatty acids) content on the colour, total pigment content, organoleptic characteristics and oxidative stability of poultry meat. The experiment was carried out with 1200 Ross-308 cock chicklings. Animals were fed with a 3 phase diet, and in each phase, additional fat was added to the feed. The isocaloric and isonitrogenic feed was produced as the breeder organization suggested; only the fat content differed (4 treatments: pig fat (lard), sunflower oil, soy oil, flax-seed oil).The different fat complements did not influence broiler production. However, the fatty acid composition of meat was similar to the fatty acid composition of feed (additional fats). The analyses of meat samples, after a storage period, did not significantly prove the possible negative effects of higher PUFA content.
The examination of presumed Escherichia coli count of raw milk samples on several milk production farms
Authors: Peles Ferenc , Szabó András , Béri Béla , Keresztúri Péter
Published: September 2019

For dairy farms, it is of great importance to insure the appropriate hygienic status of milk and to examine it regularly. Escherichia coli, belonging to the coliform bacteria type of, is a good indicator of contamination, and therefore suitable for characterising the hygienic condition of milk production.The aim of our research was to examine the connection between the Escherichi coli count in bulk tank milk and housing and milking technologies of different-sizes farms. We examined the relation using various statistical methods.Analysing the connection between the E. coli count and the farm size we found no significant difference between the farms. On the basis of the mean values of the E. coli count, we can say that the hygienic conditions are appropriate for mid-sized farms, and tolerable for large farms. We found differences in the hygienic status among the small farms. Half of the eight small farms, had no adequate hygiene. The results of the analysis of the quality categories show that the probability of inadequate quality milk was the largest on small farms (37.5%).Comparing the various housing and milking methods with each other, there were numerical differences in the E. coli count, but these differences were not significant. We got higher E. coli count values on those farms using tied stall barn and bucket milking installation. The reason for this could be that in cases of farms using bucket milking installation, it is harder to meet the requirements.After forming groups by farm size, housing and milking methods, we found that the E. coli counts are adequate on mid-size farms using various housing and milking methods; and tolerable on those large farms using loose housing stable and a milking parlour. At the same time, we found inadequate E. coli counts on the smaller farms using tied stall barns and bucket milking installation.The results show that if there is suitable attention, independent of farm size, housing and milking procedure, it is possible to produce milk with low E. coli counts, and to insure appropriate hygienic conditions.Further detailed examinations are needed to decide which factors of housing and milking technologies influence the E. coli count of bulk tank milk.
Presence, feeding and health status of collared doves (Streptopelia decaocto Friv. 1838) on animal breeding farms
Authors: Varga Sándor , Juhász Lajos
Published: September 2019

In the course of our examinations we were determining the gender of collared doves (Streptopelia decaocto) feeding at animal breeding farms by biometric data. We were estimated their nourishment and necropsies were carried out.We compared the results of the nutrition analysis with similar data of collard doves feeding at agricultural areas.We analyzed the crop and gizzard content and recorded the body proportions of collard doves that were captured between December of 2004 and August 2005. In the course of the necropsy examinations we did parasitological, bacteriological examinations as well as examinations for the detection of Newcastle disease. In the course of the gender analysis of the collard doves that were collected at animal breeding farms, both the wing length and the length of the third quill-feather has shown a significantly greater value in the case of males (p>0.05).From the orts found in the crop and gizzard it has been stated that the feed consumed the most was corn (80.77% m%). The collared doves consumed much less other cereal seeds (wheat 0.82%, barley 1.26%).In the course of the necropsy examinations done in the Veterinary Institute of Debrecen, the birds proved to be free of parasites, and the results of the Salmonella and Newcastle disease analysis were negative as well. E. coli bacteria had been detected in the liver of not more than three birds.
O professor iniciante na educação física escolar: inserção profissional, desafios e possibilidades
Authors: Feldkercher Nadiane , Ilha Franciele Roos da Silva
Published: September 2019

Neste artigo tivemos como objetivo analisar a inserção profissional do professor iniciante de Educação Física na escola. Para isso, os objetivos específicos foram: a) compreender como o professor de Educação Física foi recepcionado e orientado em sua iniciação à docência na escola; b) analisar os desafios e as possibilidades desta fase profissional; c) compreender como esses professores percebem as suas práticas no início de suas carreiras. Esta investigação tem seus pressupostos metodológicos alicerçados na abordagem qualitativa. Realizou-se uma pesquisa de campo na rede municipal de ensino de Pelotas (RS), na qual foram feitas entrevistas semiestruturadas com seis professores de Educação Física iniciantes na carreira docente na escola. Os dados foram trabalhados a partir da análise de conteúdo. O texto está organizado em cinco partes. Na primeira introduzimos os principais conceitos que fundamentam o trabalho e os pressupostos metodológicos que sustentaram a pesquisa. Na segunda, terceira e quarta parte apresentamos os dados coletados e analisados, a partir das seguintes categorias: a recepção do professor iniciante de Educação Física na escola, os desafios e as possibilidades do professor iniciante na Educação Física escolar e, a percepção de professores iniciantes sobre suas práticas. Por fim, na quinta parte do texto, traçamos algumas considerações finais onde sugerimos um processo de assessoramento aos professores iniciantes na carreira docente.
A organização do ensino em ciclos e o desempenho estudantil no Ensino Médio: a concepção dos gestores
Authors: Miranda Nonato Assis de , Estevam Romildo Rocha
Published: September 2019

O objetivo deste artigo é apresentar os resultados de uma pesquisa, de natureza qualitativa, que analisou as concepções de diretores de escolas acerca da organização do ensino em ciclos e o desempenho estudantil no ensino médio. Os dados foram obtidos por meio de entrevista semi-estruturada realizada com 14 diretores de escolas públicas em três municípios paulistas. Os resultados mostram que esse modelo de organização curricular, apesar de representar uma alternativa à redução da exclusão escolar, deixa, na concepção dos gestores, lacunas de aprendizagem nos alunos do ensino fundamental, as quais interferem no desempenho dos estudantes no ensino médio. Embora esses resultados não podem ser generalizados, servem de alerta para gestores escolares, bem como para professores, a fim de que repensem a gestão do currículo em prol da melhoria da qualidade da educação.
Avanzar en la educación para la sostenibilidad. Combinación de metodologías para trabajar el pensamiento crítico y autónomo, la reflexión y la capacidad de transformación del sistema
Authors: Collazo Expósito Leslie Mahe , Geli de Ciurana Anna Maria
Published: September 2019

Ante la demanda de impulsar cambios más globales en la concepción del proceso educativo, presentamos un trabajo basado en la aplicación de los principios de la sostenibilidad en el marco del Máster de Formación del profesorado de secundaria que ofrece la Universitat de Girona. En esta propuesta de innovación docente mostramos de qué forma los estudiantes experimentan, desde un rol activo, tres metodologías activas diferentes:   Aprendizaje Basado en Problemas, Aprendizaje por Servicio y el aprendizaje reflexivo a través del Portafolio Docente. Según muestran los resultados, los participantes no solamente mejoran en sus propias habilidades de pensamiento crítico y sistémico, auto-regulación del aprendizaje, capacidad de transformación y reflexión, además desarrollan herramientas para poder aplicarlas a lo largo de su futura actividad profesional como profesores de secundaria capaces de innovar y de transformar el sistema. Detallamos como está enmarcada  y justificada esta propuesta y describimos como se llevó a la práctica sin obviar las diferentes formas de evaluación, y exponemos algunas de las opiniones de los estudiantes