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Found 6289 publications

Through the blurry looking glass-SDGs in the GRI reports

Cecília Szigeti Daniel Robert Szabo Áron Szennay Norbert Kovács

Publication Name: Resources

Publication Date: 2019-06-01

Volume: 8

Issue: 2

Page Range: Unknown

Description:

"Transforming our world: the 2030 Agenda for Sustainable Development" was agreed upon in 2015 by the global community and proposes 17 Sustainable Development Goals (SDG) for the period between 2015 and 2030. Since the greater integration of goals was an explicit claim, there are numerous overlaps among them. One of the novelties of the SDGs is that, in order to achieve the set goals, the Agenda 2030 addresses not only the states but the businesses as well. In our study, the relationships between the SDGs were analyzed on the base of the Global Reporting Initiative (GRI) indicators linked to the goals. The analysis was carried out by cluster analysis. Our results indicate that there is a strong relationship to be found among nine of the 17 SDGs. That relationship is mainly technical, which is caused by the number of aligned (genuine) GRI indicators. Though there are relationships between the SDGs as well, their strength is much weaker. According to our classification of SDGs, we suggest that the gap of business attention among SDGs is smaller than it is showed by KPMG.

Open Access: Yes

DOI: 10.3390/resources8020101

Vibration and acceleration levels of multimodal container shipping physical environment

Péter Böröcz

Publication Name: Packaging Technology and Science

Publication Date: 2019-06-01

Volume: 32

Issue: 6

Page Range: 269-277

Description:

In global supply chains, multimodal transportation plays a dominant role in worldwide shipping. The rail, truck, and vessel combination is the most commonly used mode for non-time sensitive shipments between continents. This study focused on measuring the transportation environment effects (vibration and acceleration levels) in 40-foot ISO container shipments using multiple modes of transport, originating in Hungary and destined for Mexico, India, and China over several weeks. The study also measured multimodal shipping routes without vessel transportation to China over Trans-Siberian and Trans-Manchurian railway lines. The transshipments and handling events in container hubs and terminals were separately analyzed. The results show the comparison of vibration intensity (in PSD) of different route conditions between various continents, and the possibility of acceleration levels during transshipments and handling events. The measured data show that extreme acceleration levels in vertical direction (9.37 G) occur while containers are handled in a seaport, and in lateral (4.45 G) and longitudinal (5.55 G) directions while they are transshipped by truck to rail container terminals. The rail vibration levels in Russia and China showed a lower intensity in the frequency range of 1 to 15 Hz, and higher between 15 and 200 Hz than in Europe; the lowest vibration levels occurred when the containers traveled on the sea, and truck vibration levels were very similar to previous research and ISTA protocols.

Open Access: Yes

DOI: 10.1002/pts.2434

Notes on the Dynamics of Hyperbolic Tangent Fuzzy Cognitive Maps

István Harmati L. T. Kóczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2019-06-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Fuzzy cognitive maps (FCMs) are recurrent neural networks applied for modelling complex systems and structures. In this method, the system is represented by a weighted, directed digraph, where the nodes of the network represent the main characteristics of the modelled system, while the weighted and directed edges correspond to the direction and strength of causal relationships between these factors. The FCM based decision making is based on the so-called activation values of the nodes, which represents the state of the system. These activation values are determined by an iteration, which may lead to an equilibrium point (fixed point), but limit cycles or chaotic behaviour may also occur. In this paper, the dynamics of fuzzy cognitive maps with hyperbolic tangent threshold function is mathematically discussed. Theoretical conditions are provided for the existence and uniqueness of fixed points. Moreover, the stability of fixed points and their basins of attractions are also analysed. The results presented here give insight into the special symmetric nature of hyperbolic FCMs.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2019.8858950

Examining the relationship between workplace stress and organizational commitment

P. Karácsony

Publication Name: ACM International Conference Proceeding Series

Publication Date: 2019-05-24

Volume: Unknown

Issue: Unknown

Page Range: 26-30

Description:

Nowadays, labor markets are fighting with labor shortages, leading to a growing challenge for organizations to retain their staff. Leaders have to face many job challenges, such as workplace stress. Workplace stress is a result of the interaction between a person and their work environment. Increasingly common workplace stress could be a cause for concern, as it may have a significant economic impact on the organization. Long-term work stress can cause the workers to lose their commitment to the organization. The purpose of this study is to assess the relationship between workplace stress and employee commitment through the example of Hungarian small and medium-sized enterprises. As a research method, I chose a questionnaire survey which included both open and closed-type issues. While evaluating the questionnaires, I found that there is a strong correlation between workplace stress and employee commitment. Moreover, in addition to occupational stress having a negative effect on organizational commitment, it also has a negative effect on work performance. My research shows that the managers of the examined organizations largely know of workplace stress, and have the professional knowledge to handle the problems.

Open Access: Yes

DOI: 10.1145/3335550.3339898

The utilization of struvite produced from human urine in agriculture as a natural fertilizer: A review

Anna Mikola Surendra K. Pradhan A. Zseni J. Nagy

Publication Name: Periodica Polytechnica Chemical Engineering

Publication Date: 2019-05-15

Volume: 63

Issue: 3

Page Range: 478-484

Description:

Most of the nutrients in municipal wastewater originate from urine. Nevertheless, chemical fertilizers are commonly used in the agriculture instead of urine. There are some problems related to the direct utilization of urine, such as micropollutants present in urine, odour and storage of large volume of urine. In wastewater, phosphorus may contribute significantly to the pollution of the aquatic systems. Therefore, wastewater treatment techniques are mainly focusing on removing phosphorus. Phosphorus is collected in the sludge either by a chemical or by a biological process. With the growing concern of micropollutants present, which are in the sludge, the use of sludge in agriculture has been gradually decreasing. It means that the phosphorus content in sludge is not recycled efficiently whereas the use of limited mineral phosphorus resources is growing. To overcome these issues, urine could be collected separately and struvite could be produced. This may recover about 90% of phosphate in urine. In this paper, the use of human urine and struvite as a fertilizer in the agriculture and the production of struvite is discussed. Results showed that the struvite could be an effective natural fertilizer.

Open Access: Yes

DOI: 10.3311/PPch.12689

Range sensor-based occupancy grid mapping with signatures

Áron Ballagi Csaba Hajdu Ernö Horváth Claudiu Radu

Publication Name: Proceedings of the 2019 20th International Carpathian Control Conference Iccc 2019

Publication Date: 2019-05-01

Volume: Unknown

Issue: Unknown

Page Range: Unknown

Description:

Recently autonomous navigation technologies have received huge attention in many fields, such as autonomous driving or mobile robotics. Simultaneous localization and mapping (SLAM) [1] is a key problem in this field and the current paper targets the mapping part of it. Mapping means to construct accurate static or even dynamic representation of the observable environment. There are of course solutions for range sensor-based mapping, but the current paper proposes a new approach, which involves signatures. Signature is a mathematical data representation, which handles well uncertainty in complex systems.

Open Access: Yes

DOI: 10.1109/CarpathianCC.2019.8765684

Robustness analysis and reconfiguration strategy of autonomous vehicles in intersections

Balazs Nemeth Dániel Pup Peter Gaspar Peter Szilassy Ferenc Szauter

Publication Name: Saci 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2019-05-01

Volume: Unknown

Issue: Unknown

Page Range: 45-50

Description:

The paper proposes the design of a neural-network-based control strategy of autonomous vehicles in intersections. The motivation of the neural network approach is to reduce the numerically-intensive computation of the optimization problem in which the motions of autonomous vehicles are formed. In the method the neural network is trained through a preliminary optimal off-line solution. Moreover, a robustness analysis and a reconfiguration strategy for the scenarios with vehicle position disturbances are proposed. The design and the analysis are illustrated through CarSim simulation examples.

Open Access: Yes

DOI: 10.1109/SACI46893.2019.9111527

Training Capsule Networks with Various Parameters

Áron Ballagi János Hollósi

Publication Name: Saci 2019 IEEE 13th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2019-05-01

Volume: Unknown

Issue: Unknown

Page Range: 191-196

Description:

Nowadays convolutional neural networks (CNNs) have produced the state-of-The-Art performance in image classification and segmentation tasks. The efficiency of the neural networks is one of the bests when the testing samples are close to the training data. Nevertheless, if we make some transformation on the dataset, the performance of the convolutional neural network reduced. Recently, capsule networks (CapsNet) have been introduced to solve some of the problems of neural networks. In this paper we examine the effectiveness of three different capsule based neural networks, and compare the performance when the parameters of the dynamic routing algorithm and the squashing function are modified.

Open Access: Yes

DOI: 10.1109/SACI46893.2019.9111574

Implementation of genetic based individualization of White stork (Ciconia ciconia) in forensic casework

Petra Zenke Gabor Kovacs Zsolt Pádár Balázs Egyed

Publication Name: Forensic Science International Genetics

Publication Date: 2019-05-01

Volume: 40

Issue: Unknown

Page Range: e245-e247

Description:

No description provided

Open Access: Yes

DOI: 10.1016/j.fsigen.2019.02.001