Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 50
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The successful application of a multi-clusteringbased neighborhood approach to recommender systems has led to increased recommendation accuracy and the elimination of divergence related to differences in clustering methods traditionally used. The Multi-Clustering Collaborative Filtering algorithm was developed to achieve this, as described in the author’s previous papers. However, utilizing multiple clusters poses challenges regarding memory consumption and scalability. Not all partitionings are equally advantageous, making selecting clusters for the recommender system’s input crucial without compromising recommendation accuracy. This article presents a solution for selecting clustering schemes based on internal indices evaluation. This method can be employed for preparing input data in collaborative filtering recommender systems. The study’s results confirm the positive impact of scheme selection on the overall recommendation performance, as it typically improves after the selection process. Furthermore, a smaller number of clustering schemes used as input for the recommender system enhances scalability and reduces memory consumption. The findings are compared with baseline recommenders’ outcomes to validate the effectiveness of the proposed approach.
Go to article

Authors and Affiliations

Urszula Kużelewska
1

  1. Faculty of Computer Science, Bialystok Uni-versity of Technology, Wiejska 45a, 15-351 Bialystok, Poland
Download PDF Download RIS Download Bibtex

Abstract

The term extreme rainfall refers to an event during which the thresholds of various hydrological and geomorphic processes are exceeded. The frequency of extremes varies in different climatic zones and in time. The clustering of extreme events happens when the extremes are repeated every 2–3 years, every year or even several times a year. Such clusterings disturb the equilibrium of slope and river channel systems and are separated by periods of stability and recovery. The occurences of clusters are exemplified by present – day processes, historical records and geological records. On this base a model of phases with frequent and rare clusterings during the Holocene was constructed.
Go to article

Authors and Affiliations

Leszek Starkel
Download PDF Download RIS Download Bibtex

Abstract

Clusters belong to the regional innovation system, which led to the formulation and implementation of the cluster-based policy in many countries. The positive impact of clusters on the competitiveness of regions was confirmed by empirical studies. Absence of clusters means retardation in a regional development. The implementation of cluster policy supporting coopetition into the scope of principled regional policy assumptions seems urgent. In this way effective conditions for the formation of growth poles around industries specific for a given region will be developed and, consequently, the economic specialization of individual regions will be achieved. Observation of the benefits resulting from the functioning of clusters in the region, taking into account their possible negative impact, will allow to determine the specificity of regional development policy based on clusters. These problems indicated above are the subject of this study, based on the Polish and foreign literature available on the subject employing the desk research method.

Go to article

Authors and Affiliations

Sylwia Guzdek
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

The article deals with the issue of formation and functioning of rural tourism clusters in Ukraine. Here, formation of cluster structures in rural tourism is at its initial stage. Analysis of existing clusters resulted in their classification into groups based on the criterion of specialization: lodging and food (farmsteads), agritourist and local history tourism clusters. Analysis of the main research models for the creation and analysis of rural tourism clusters functioning has been performed. A multilevel universal model of the rural tourism clusters with basic structural levels (basic, affiliate and accompanying) has been proposed for scientific and practical purposes. This model was used to form two cluster initiatives in the ethnographic region of the Ukrainian Carpathians – in the Boykivshchyna. The need to use foreign experience in rural tourism cluster research has been emphasized.

Go to article

Authors and Affiliations

Marta Malska
Lidiya Dubis
Yuriy Zinko
Download PDF Download RIS Download Bibtex

Abstract

Wireless sensor network is a dynamic field of networking and communication because of its increasing demand in critical Industrial and Robotics applications. Clustering is the technique mainly used in the WSN to deal with large load density for efficient energy conservation. Formation of number of duplicate clusters in the clustering algorithm decreases the throughput and network lifetime of WSN. To deal with this problem, advance distributive energy-efficient adaptive clustering protocol with sleep/wake scheduling algorithm (DEACP-S/W) for the selection of optimal cluster head is presented in this paper. The presented sleep/wake cluster head scheduling along with distributive adaptive clustering protocol helps in reducing the transmission delay by properly balancing of load among nodes. The performance of algorithm is evaluated on the basis of network lifetime, throughput, average residual energy, packet delivered to the base station (BS) and CH of nodes. The results are compared with standard LEACH and DEACP protocols and it is observed that the proposed protocol performs better than existing algorithms. Throughput is improved by 8.1% over LEACH and by 2.7% over DEACP. Average residual energy is increased by 6.4% over LEACH and by 4% over DEACP. Also, the network is operable for nearly 33% more rounds compared to these reference algorithms which ultimately results in increasing lifetime of the Wireless Sensor Network.
Go to article

Bibliography

[1] K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: technology, protocols, and applications,” John Wiley & Sons, 2007.
[2] K. Pavai, A. Sivagami and D. Sridharan, "Study of Routing Protocols in Wireless Sensor Networks,” 2009 International Conference on Advances in Computing, Control and Telecommunication Technologies, Trivandrum, Kerala, 2009, pp. 522-525.
[3] D. Goyal and M. R. Tripathy, "Routing Protocols in Wireless Sensor Networks: A Survey,"2012 Second International Conference on Advanced Computing & Communication Technologies, Rohtak, Haryana, 2012, pp. 474-480.
[4] NasirSaeed, Ahmed Bader, T.Y. Al-Naffouri, Mohamed-slim Alouini, “When Wireless Communication Faces COVID-19: Combating the Pandemic and Saving the Economy,” Research Gate Journal, May 2020.
[5] Jitendra Singh, Rakesh Kumar, “Clustering algorithms for wireless sensor networks: A review,” 2nd International Conference on Computing for Sustainable Global Development, May 2015.
[6] S. Misra and R. Kumar, "A literature survey on various clustering approaches in wireless sensor network," IEEE 2nd International Conference on Communication Control and Intelligent Systems (CCIS), Mathura, 2016, pp. 18-22.
[7] S. Mishra, R. Bano, S. Kumar and V. Dixit, "A literature survey on routing protocol in wireless sensor network," IEEE International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore, 2017, pp. 1-4.
[8] Kalyani Wankhede, Sumedha Sirsikar, “Review of Clustering Algorithms in Wireless Sensor Networks,” International Journal of Advance Foundation and Research in Computer (IJAFRC), Volume 1, Issue 11, November 2014, pp.126-133.
[9] Sangho Yi, Junyoung Heo, Yookun Cho and Jiman Hong b, “PEACH: Power-efficient and adaptive clustering hierarch protocol for wireless sensor networks,” Computer Communications, ELSEVIER, 23 June 2007, pp. 2842–2852.
[10] K. T. Kim and H. Y. Youn, “Energy-Driven Adaptive Clustering Hierarchy (EDACH) for Wireless Sensor Networks,” International Federation of Info. Processing, vol. 3823, Dec. 2005, pp. 1098–1107.
[11] V. Loscri, G. Morabito and S. Marano, “A Two-Level Hierarchy for Low-Energy Adaptive Clustering Hierarchy(TL-LEACH),” IEEE Proceedings of Vehicular Technology Conference, vol. 3, 2005, pp. 1809-1813.
[12] S. Nasr, M. Quwaider, “LEACH Protocol Enhancement for Increasing WSN Lifetime,” 2020 11th International Conference on Information and Communication Systems (ICICS), April 2020, pp. 102-107.
[13] M. Kaddi, Z. Khalili, M. Bruchra, “A Differential Evolution Based Clustering and Routing Protocol for WSN,” 2020 International Conference on Mathematics and Information Technology, March 2020, pp. 190-195.
[14] G. Malshetty, B. Mathapati, “Efficient Clustering in WSN-Cloud using LBSO (Load Based Self Organised) technique,” Third International Conference on Trends in Electronics and Informatics(ICOEI), October 2019, pp. 1243-1247.
[15] K. Dubey, A. Yadav, P. Kumar, P. Shekar, P. Rajput, S. Kumar, “Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes,” Proceedings of Third International Conference on Computing Methodologies and Communication (ICCMC), August 2019, pp. 294-299.
[16] O. Younis, S. Fahmy, “HEED: A Hybrid Energy-Efficient Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on mobile computing, vol. 3(4) , 2004, pp. 1-36
[17] A. Manjeshwar, D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks,” 15th International Workshop on Parallel and Distributed Processing Symposium (IPDPS), 23–27 April 2001, pp. 2009–2015.
[18] A. Manjeshwar, D. P. Agrawal, “APTEEN: A Hybrid Protocol for Efficient Routing and Comprehensive Information Retrieval in Wireless Sensor Networks,” 2nd International Workshop on Parallel and Distributed Computing Issues in Wireless Networks and Mobile Computing,” April 2002, pp. 195–202.
[19] Chirihane Gherbi, Zibouda Aliouat, Mohamed Benmohammed, “A Novel Load Balancing Scheduling Algorithm For Wireless Sensor Networks,” Journal of Network And Systems Management (2019) 27, pp. 430–462.
[20] Heinzelman W,Chandrakasan A and Balakrishnan H, "Energy-Efficient Communication Protocols for Wireless Microsensor Networks," Proceedings of the 33rd Hawaaian International Conference on Systems Science (HICSS), January 2000.
[21] JiuqiangXu, Wei Liu, Fenggao Lang, Yuanyuan Zhang, Chenglong Wang, “Distance Measurement Model Based on RSSI in WSN,” Scientific Research Journal on Wireless Sensor Network, August 2010, pp. 606-611
[22] Nazir Babar, Hasbullah Halabi & Madani Sajjad, “Sleep/wake scheduling scheme for minimizing end-to-end delay in multi-hop wireless sensor networks,” EURASIP Journal on Wireless Communications and Networking, 2011, art. no 92. doi: 10.1186/1687-1499-2011-92.

Go to article

Authors and Affiliations

Shankar D. Chavan
1
Shahaji R. Jagdale
1
Dhanashree A. Kulkarni
1
Sneha R. Jadhav
1

  1. Dr. D. Y. Patil Institute of Technology, Pimpri, Pune
Download PDF Download RIS Download Bibtex

Abstract

The major underlying principle of the present paper is that, in opposition to the viewpoint of emotions as discrete entities, emotions are represented as clusters in conceptual space. The graded structure and fuzzy boundaries inherent in the prototype-periphery nature of these clusters dictate that the meaning of a specific emotion is governed by both inter- and intra-cluster relationships and their interactions. In addition to these relationships and interactions the paper examines both external and internal affects to compare and contrast the FEAR, COMPASSION, LOVE/JOY, and PRIDE clusters in British English and Polish. The three specific methods employed to analyze these are the GRID instrument, an online emotions sorting task, and a corpus-based cognitive linguistic methodology.

Go to article

Authors and Affiliations

Paul A. Wilson
Barbara Lewandowska-Tomaszczyk
Download PDF Download RIS Download Bibtex

Abstract

The main research question in this article concerns the factors responsible for development of Brandenburg in the last 15 years, which enable to divert the region from its previous development model. For answering this question the method of individual, in-depth interviews with the main actors on the regional scene was used, supported by desk research and statistical data analysis. The development of Brandenburg was strongly infl uenced by external factors as consequences of functioning under the conditions of centrally planned economy and façade democracy (as GDR), the unifi cation of Germany, the necessity of transformation and restructuring with strong support of external funding, finally moving the capital city of Germany to Berlin. However of crucial importance was a conscious, pragmatic and consistently implemented policy of the regional authorities based on the idea of territorial and sectoral concentration (instead of the idea Gieβkanneprinzip).

Go to article

Authors and Affiliations

Anna Dąbrowska
Download PDF Download RIS Download Bibtex

Abstract

The development of electromobility is a challenge for the power system in both technical and economic-market terms. As of today, there are no analyses to determine the power necessary to supply the planned infrastructure and to estimate the incentives and economic benefits resulting from the modification of the settlement method. The document determining the legal regulations and the obligation to build vehicle charging stations for specific municipalities is the Act on Electromobility and Alternative Fuels. This act estimates that the development of electromobility, due to the specifics including not only individual vehicles, will take place in certain areas. The places which in the first stage will be dedicated to the potential implementation of the concept of electromobility will be municipalities covering large agglomerations. In addition, due to the local aspect, the development of electromobility may take place in the areas of energy clusters’ initiatives, which, using the policy of increasing energy awareness, are aimed at energy production from local renewable energy resources. The planned development of electromobility assumes a systematic increase in the number of electric cars caused by the introduction of support systems. The dynamization of this sector will cause an increase in the demand for electricity. Due to power system reasons, an important factor determining the level of energy consumption depending on the time of day may be an appropriate shape of the pricing for the charging service. Appropriate price list stimulation can affect the behavior of recipients, causing the charging of cars in the off-peak of electricity demand. The aim of the article is to characterize the scale of the phenomenon of electromobility in the context of the emergence of a charging points infrastructure along with the possibility of price-setting stimulation affecting the profile of energy demand. It is also important to consider the challenges and responsibilities of municipalities and energy clusters from the perspective of introducing electromobility.

Go to article

Authors and Affiliations

Kinga Bojda
Maciej Sołtysik
Download PDF Download RIS Download Bibtex

Abstract

An analysis of the power system functioning and the behaviors of the energy market participants allows the trends taking place within years to be identified, including these associated with the evolution of the electric energy and power demand profiles. The problems of balancing the peak power demand are of both a short and long term nature, which implies the need for changes in the electricity generation sector. Apart from the existing “silo-type” generation units, the construction of distributed energy sources implemented in the civic formula in the framework of self-sufficient energy communes and energy clusters is becoming increasingly important. Support for these programs is realized both at the legislative level, as well as within dedicated competitions and ministerial activities. The financial support carried out by the National Fund for Environmental Protection and Water Management and the Regional Operational Programs is also noticeable. One of the activities aimed at spreading the idea of clustering was the competition for certified energy clusters, conducted by the Ministry of Energy. The goal of the contest was the promotion and development of the distributed energy sector, which could be used for the improvement of energy security in the local manner and constitute a basis for the knowledge necessary in planning and developing the state’s energy policy. The paper presents a synthetic analysis of the results of the competition for a certified energy cluster from the perspective of planning and operational needs related to the functioning of the power system. Further, the information about the investment plans of new generation capacities, including their breakdown with respect to type, achievable power and costs has been provided. Also, the balancing of the demand for electric energy by own generation within the energy clusters has been characterized for three time perspectives

Go to article

Authors and Affiliations

Maciej Sołtysik
Download PDF Download RIS Download Bibtex

Abstract

In spite of technological, logistic and economic difficulties, interest in renewable energy sources in the world is consistently increasing. This trend is also observed in Poland, mainly due to the urgent need to tackle the problem of climate change, which is caused by the increasing concentration of gaseous pollutants in the atmosphere. The paper presents a short script of the issue of estimating renewable energy resources in Poland in the context of creating local low carbon economy plans at the level of municipalities/counties where RES sources should be taken into account. The author proposed an individual approach to estimate the potential of RES, taking the local conditions and the short characteristics of the small and medium companies sector in Poland into account. These companies have a great application potential to increase the share of renewable energies and to improve energy efficiency in their business. The actions, which are taken by the Ministry of Energy in the field of civil energy development, enhancing local energy security and the sustainable development of renewable energy resources support the development of energy clusters covering one district or five municipalities. In the article, the author presents data on the number of companies possessing a concession for generating electricity in RES installations in the power range from 40 kW to 200 kW. These companies can largely be the nucleus for creating a local cluster in which microgrids will be a key element.

Go to article

Authors and Affiliations

Tomasz Mirowski
Download PDF Download RIS Download Bibtex

Abstract

Wireless sensor network (WSN) is assortment of sensor nodes proficient in environmental information sensing, refining it and transmitting it to base station in sovereign manner. The minute sensors communicate themselves to sense and monitor the environment. The main challenges are limited power, short communication range, low bandwidth and limited processing. The power source of these sensor nodes are the main hurdle in design of energy efficient network. The main objective of the proposed clustering and data transmission algorithm is to augment network performance by using swarm intelligence approach. This technique is based on K-mean based clustering, data rate optimization using firefly optimization algorithm and Ant colony optimization based data forwarding. The KFOA is divided in three parts: (1) Clustering of sensor nodes using K-mean technique and (2) data rate optimization for controlling congestion and (3) using shortest path for data transmission based on Ant colony optimization (ACO) technique. The performance is analyzed based on two scenarios as with rate optimization and without rate optimization. The first scenario consists of two operations as kmean clustering and ACO based routing. The second scenario consists of three operations as mentioned in KFOA. The performance is evaluated in terms of throughput, packet delivery ratio, energy dissipation and residual energy analysis. The simulation results show improvement in performance by using with rate optimization technique.
Go to article

Authors and Affiliations

Savita Sandeep Jadhav
1
Sangeeta Jadhav
2

  1. Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India
  2. Army Institute of Technology, Dighi Hills, Pune, India
Download PDF Download RIS Download Bibtex

Abstract

This article presents a consistent solution of Transmit Power Control in centralized (clustered) wireless network with and without jamming. Depending on the policy assumed, appropriate solutions are applied to minimize the power used in a system or to satisfy expected Quality of Service. Because of specific nature of the system there is no optimal solution which can be applied in practice. Correctness and effectiveness of four proposed Transmit Power Control algorithms was presented in the form of computer simulation results in which the system capacity, mean power used and the number of successful links were described.

Go to article

Authors and Affiliations

Jarosław Michalak
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

This paper introduces a novel approach to building network cluster structures, based on the modified LEACH algorithm. The proposed solution takes into account the multitasking of the network infrastructure, resulting from various functions performed by individual nodes. Therefore, instead of a single head, dedicated to a given cluster, a set of heads is selected, the number of which corresponds to the number of performed functions. Outcomes of simulations, comparing the classical and the multifunctional approach, are presented. The obtained results confirm that both algorithms deliver similar levels of energy consumption, as well as efficiency in terms of the number of individual nodes discharged.
Go to article

Authors and Affiliations

A. Paszkiewicz
1
ORCID: ORCID
C. Ćwikła
2
M. Bolanowski
1
ORCID: ORCID
M. Ganzha
3
ORCID: ORCID
M. Paprzycki
3
ORCID: ORCID
M. Hodoň
4
ORCID: ORCID

  1. Department of Complex Systems, Rzeszow University of Technology, Al. Powstańców Warszawy 12, Rzeszów 35-959, Poland
  2. Rzeszow University of Technology, Al. Powstańców Warszawy 12, Rzeszów 35-959, Poland
  3. Systems Research Institute Polish Academy of Sciences, Newelska 6, Warszawa 01-447, Poland
  4. Department of Technical Cybernetics, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
Download PDF Download RIS Download Bibtex

Abstract

This paper details a hardware implementation of a distributed Θ(1) time algorithm allows to select dynamically the master device in ad-hoc or cluster-based networks in a constant time regardless the number of devices in the same cluster. The algorithm allows each device to automatically detect its own status; master or slave; based on identifier without adding extra overheads or exchanging packets that slow down the network. We propose a baseband design that implements algorithm functions and we detail the hardware implementation using Matlab/Simulink and Ettus B210 USRP. Tests held in laboratory prove that algorithm works as expected.

Go to article

Authors and Affiliations

Mohammed El Khattabi
Jelloul Elmesbahi
Ahmed Errami and Omar Bouattane Mohammed Khaldoun
Download PDF Download RIS Download Bibtex

Abstract

Ukraine’s commitments under the international framework agreements to reduce CO 2 emissions and the Global Climate Change Initiative provide the basis for the implementation of bioeconomy mechanisms in the country’s Energy Development Strategy until 2035. One of the goals of this strategy is to reduce the consumption of fossil fuels and switch to alternative fuels. The agriculture of Ukraine is assigned the leading role in ensuring the replacement of fossil fuels with biomass of plant origin. The bioenergy potential of the agro-industrial sector of the economy requires extensive research in order to determine and integrate it into the country’s energy sector. The essential characteristics of energy efficiency in the context of the cluster model of organizing the activities of enterprises for the production of biofuel as stable interactions of geographically concentrated economic entities are investigated in this article. Peculiarities of introduction of bioenergy clusters as stable interactions of geographically concentrated business entities (enterprises, suppliers and organizations, including scientific institutions, etc.) have been determined according to a pre-defined and agreed development strategy for all participants without exception at the stage of formation of which the competitive environment is supported taking into account the energy, ecological and socio-economic parameters of the sustainable development of territories. A model of a territorial bioenergy cluster for the production of biofuels from crops and waste was formed and the advantages of creating bioenergy clusters were analyzed. Furthermore, a matrix of a PEST analysis of the formation of bioenergy clusters in Ukraine was formed.
Go to article

Authors and Affiliations

Natalia Pryshliak
1
ORCID: ORCID
Valerii Bondarenko
2
ORCID: ORCID
Serhii Sokoliuk
3
ORCID: ORCID
Oleksandr Brovarets
4
ORCID: ORCID

  1. Vinnytsia National Agrarian University, Vinnytsia, Ukraine
  2. Department of Marketing and International Trade, National University of Life and Environmental Sciences of Ukraine, Ukraine
  3. Uman National University of Horticulture, Uman, Ukraine
  4. Kyiv Institute of Business and Law, Kyiv, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

Economic development is strictly dependent on access to inexpensive and reliable energy sources based on diversified primary fuels. The strategic framework for the construction of the energy mix is defined in the Energy Policy of the State, the content of which, in terms of its mandatory elements, has been specified in the Energy Law. The task of the Energy Policy of the State is to create the shape of the future power sector, including designing the most advantageous regulatory, system and technical solutions guaranteeing the appropriate level of energy security of the country, monitoring of the system’s evolution and also designing and implementing changes aimed at the optimization of the functioning mechanisms. The vision of the development of the power system at the global level should also reflect changes in the formation of dispersed civil energy structures. Unfortunately, the results of the conducted analyses reveal existing imperfections of the data acquisition and information system, which should be used in the planning process. This issue is particularly important from the perspective of the dynamically developing concept of the energy self-sufficiency of communes and the emergence of energy clusters. The present paper describes the functioning of strategic planning in the field of the electric power system with an illustration of the improperly functioning mechanisms of information transfer in the context of the advancement of dispersed civil energy structures.

Go to article

Authors and Affiliations

Maciej Sołtysik
Sylwia Całus
Marcin Malec
Download PDF Download RIS Download Bibtex

Abstract

Pollution, climate change and energy security are significant problems. Climate-disrupting fossil fuels are being replaced by clean and non-depletable sources of energy. It requires major changes to energy infrastructures and strong support for promotion of the use of energy from renewable sources. Renewable energy is emerging as a driver of inclusive economic growth and reinforcing energy security. Public entities have to promote renewable energy development by implementing cost-effective national support schemes. By acting at national-level, several barriers to public and private investments could be tackled, addressing the lack of coordination between various authorising bodies at national level and stimulatng the administrative capacity to implement energy projects. It should be effective in promoting transparency for investors and others economic operators. In Poland there is a lack of regulatory policies creating incentives for decentralised energy. Market-based support schemes are still needed for small-scale self-consumption system. Currently operating solutions have been shown in the contrast of the ones applied abroad. The development of clean energy technologies depends on many factors. The author identified few most important ones, mainly financial, regulatory issues, social, environmental and characterized them in this work. The article presents the recommendations of regulatory framework and some proposals for energy cluster based policy’s tools, the introduction of which would significantly facilitate the wider renewable energy uses in Poland.

Go to article

Authors and Affiliations

Joanna Gronkowska
Download PDF Download RIS Download Bibtex

Abstract

The article deals with the patterns of segmental adaptation of Polish voiceless affricates in initial and fi nal CC (consonant + consonant) clusters by native speakers of English. The data have been collected in an online loanword adaptation experiment in which 30 native speakers of Southern British English reproduced Polish words containing such sequences. The major problem posed by the data is the divergent adaptation of the post-alveolar /͡tʂ/ vs. the pre-palatal /͡tɕ/, with the former substituted mainly with the coronal plosive [t] and the latter realised as the palato-alveolar affricate [͡tʃ]. It is argued that these patterns of nativisation are due to the highlyranked IDENT-IO[dist] constraint, which militates against the modifi cation in the value of the feature [distributed]. Furthermore, it is demonstrated that the experimental results provide evidence in favour of the fundamental assumptions underlying the phonological approach to loan assimilation, namely the phonological input view as well as the faithful perception view.

Go to article

Authors and Affiliations

Marek Radomski
Download PDF Download RIS Download Bibtex

Abstract

Research concerning changes or chosen chemical elements concentration in alluvial sediments was conducted in the lower course or the Obra river valley. The analyses of Fe, Mn, Cu, Zn, Ca, Mg and K concentration were done in a fragment or vertical profile, which was characterized by variable lithology. On the basis of statistical analysis (cluster analysis) an attempt was made to distinguish geochemical groups of alluvial sediments of the Obra river valley. Six geochemical groups, which represent reductive conditions within peat deposits, the environment ofllood sediments (inserts of fine sands within peats and sandy silts in the top of the profile) and the environment or river bed sediments (fine sands in the bottom part ofthe profile), were singled out. Results of the study show that it is possible to distinguish the above mentioned depositional environments on the basis of variations of sediments' chemical constitution.
Go to article

Authors and Affiliations

Marcin Słowik
Tadeusz Sobczyński
Zygmunt Młynarczyk
Download PDF Download RIS Download Bibtex

Abstract

The study investigates the use of speech signal to recognise speakers’ emotional states. The introduction includes the definition and categorization of emotions, including facial expressions, speech and physiological signals. For the purpose of this work, a proprietary resource of emotionally-marked speech recordings was created. The collected recordings come from the media, including live journalistic broadcasts, which show spontaneous emotional reactions to real-time stimuli. For the purpose of signal speech analysis, a specific script was written in Python. Its algorithm includes the parameterization of speech recordings and determination of features correlated with emotional content in speech. After the parametrization process, data clustering was performed to allows for the grouping of feature vectors for speakers into greater collections which imitate specific emotional states. Using the t-Student test for dependent samples, some descriptors were distinguished, which identified significant differences in the values of features between emotional states. Some potential applications for this research were proposed, as well as other development directions for future studies of the topic.
Go to article

Authors and Affiliations

Zuzanna Piątek
1
Maciej Kłaczyński
1

  1. AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Cracow, Poland
Download PDF Download RIS Download Bibtex

Abstract

The purpose of the work was to determine the relationship between the of the water quality parameters in an artificial reservoir used as cooling ponds. Multivariate methods, cluster analysis and factor analysis were applied to analyze eighteen physico-chemical parameters such as air and water temperature, dissolved oxygen concentration, visibility of the Secchi disk, concentrations of total nitrogen, ammonium, nitrate, nitrite, total phosphorus, phosphate, concentrations of calcium, magnesium, chlorides, sulfates and total dissolved salts, pH, chemical oxygen demand and electric conductivity from 2002-2017 to investigated cooling water discharge. Hierarchical cluster analysis (CA) allowed identified five different clusters that reflect the different water quality characteristics of the water system. Similar results were obtained in exploratory factor analysis, five factors were obtained with 65.96% total variance. However, confirmatory factor analysis showed that four latent variables: salinity, temperature, eutrophication, and ammonia provide better fit to the data than a five-factor structure. Correlations between latent variables temperature, eutrophication and ammonia show a significant effect of temperature on the transformation of nitrogen and phosphorus compounds.
Go to article

Bibliography

  1. Arsonists, G.B., Stow, C.A., Steinberg, L.J., Kenney M.A., Lathro, R.C., McBride, S.J. & Reckhow, K.H. (2006). Exploring ecological patterns with structural equation modeling and Bayesian analysis. Ecological Modelling, 192, pp. 385–409. DOI:10.1016/j.ecolmodel.2005.07.028
  2. Baran, A., Tarnowski M., Urbański K., Klimkowicz-Pawlas A. & Spałek I. (2017). Concentration, sources and risk assessment of PAHs in bottom sediments, Environmental Science and Pollution Research, 24, pp. 23180–23195. DOI 10.1007/s11356-017-9944-y
  3. Bloemkolk, J.W., van der Schaaf, R.J. (1996). Design alternatives for the use of cooling water in the process industry: minimization of the environmental impact from cooling systems. Journal of Cleaner Production 4(1), pp. 21-27.
  4. Boyacioglu, H. & Boyacioglu, H. (2018). Application of environmetric methods to investigate control factors on water quality on water quality. Archives of Environmental Protection. 43 (3) pp. 17–23. DOI: 10.1515/aep-2017-0026
  5. Boyacioglu, H. & Boyacioglu, H. (2018) Environmental Determinants of Surface Water Quality Based on Environmetric Methods. Environment and Ecology Research. 6(2), pp. 120-124. DOI: 10.13189/eer.2018.060204
  6. Choiński, A. & Ptak, M. (2013). Variability of thermals and water levels in Konin lakes as a result of the activity of the «Konin» and «Pątnów» power plants. Науковий вісник Східноєвропейського національного університету імені Лесі Українки РОЗДІЛ І. Фізична і конструктивна географія. 16 (265), pp. 31-40 (in Polish). http://www.esnuir.eenu.edu.ua/bitstream/123456789/11181/1/5.pdf
  7. Conclusions from the forecast analysis for the energy production sector – annex no. 2 to Poland's energy policy until 2040 (PEP 2040 – ver 2.1), Ministry of Energy Warsaw 2019 (in Polish). https://www.gov.pl/attachment/cff9e33d-426a-4673-a92b-eb4fb0bf4a04
  8. Doria, M.F, Pidgeon, N. & Hunter, P.(2005). Pe.2005.0245rception of tap water risks and quality: a structural equation model approach. Water Science & Technology, 52 (8) pp. 143–149. DOI:10.2166/wst.2005.0245
  9. Dragan, D. & Topolŝek, D. (2014). Introduction to Structural Equation Modeling: Review, Methodology and Practical Applications. The International Conference on Logistics & Sustainable Transport, 19–21 June 2014 Celje, Slovenia
  10. Dyer, K., Holmes, P., Roast S.,. Taylor, C.J.L. & Wicher, A. (2017). Challenges in the management and regulation of large cooling water discharges. Estuarine, Coastal and Shelf Science, 190, pp. 23-30. DOI: 10.1016/j.ecss.2017.03.027
  11. European Environment Agency, (2018). Water abstraction by sector, EU, European Environment Agency https://www.eea.europa.eu/data-and-maps/daviz/water-abstraction-by-sector-eu-2/download.table
  12. Fan, Y., Chen, J., Shirkey, G., John, R., Susie, R. Wu., S.R., Park, H. & Shao, C. (2016). Applications of structural equation modeling (SEM) in ecological studies: an updated review. Ecological Processes 5, 19. DOI 10.1186/s13717-016-0063-3
  13. Fox J., Nie Z. & ,Byrnes, J. (2020). Package ‘sem’. https://cran.r-project.org/web/packages/sem/sem.pdf
  14. Gao, C., Yan, J., Yang, S. & Tan G. (2011). Applying Factor Analysis to Water Quality Assessment: A Study Case of Wenyu River [In] S. Li (Ed.): Nonlinear Mathematics for Uncertainty and its Applications, 2011, Springer-Verlag Berlin Heidelberg , pp. 541–547. ISBN 978-3-642-22832-2. DOI 10.1007/978-3-642-22833-9
  15. Helena, B., Pardo, R., Vega, M., Barrado, E., Fernandez, J.M.& Fernandez, L. (2000). Temporal evolution of groundwater analysis. Water Research 34 (3), pp. 807-16. DOI: 10.1016/S0043-1354(99)00225-0
  16. Hossain, M.G., Selim Reza, A.H.M. & Lutfun-Nessa, M. (2013). Factor and cluster analysis of water quality data of the groundwater wells of Kushtia, Bangladesh: Implication for arsenic enrichment and mobilization. Journal of the Geological Society of India, 81, pp. 377–384. DOI: 10.1007/s12594-013-0048-0
  17. Jabłońska-Czapla, M., Szopa, S., Zerzucha, P., Łyko, A. & Michalski, R. (2015). Chemometric and environmental assessment of arsenic, antimony, and chromium speciation form ocurrence in a water reservoir subjected to thermal anthropopressure. Environmental Science and Pollution Research 22, pp.15731–15744. DOI: 10.1007/s11356-015-4769-z
  18. Jabłońska, M., Kostecki, M., Szopa, S., Łyko, A. & Michalski, R. (2012). Speciation of Inorganic Arsenic and Chromium Forms in Selected Water Reservoirs of Upper Silesia. Ochrona Środowiska, 34(3), pp. 25–32. (in Polish)
  19. Jancewicz, A., Dmitruk, U., Sosnicki, L. & Tomczuk, U. (2012). Influence of Land Development in the Drainage Area on Bottom Sediment Quality in Some Dam Reservoirs. Ochrona Środowiska 34(4), pp. 29–34.(In Polish)
  20. Johnson, R.A. & Wichern, D.W. (2007). Applied Multivariate Statistical Analysis, Pearson Education, Inc. 6th ed. ISBN 0-13-187715-1
  21. Johst M. & Rothsteinn B., (2014). Reduction of cooling water consumption due to photovoltaic and wind electricity feed-in. Renewable and Sustainable Energy Reviews 35, 311–317 DOI: 10.1016/j.rser.2014.04.029
  22. Jolliffe I.T. (2002). Principal Component Analysis, Second Edition Springer Verlag. ISBN 0-387-05442-2
  23. Kannel P.R., Lee S., Kanel S.R. & Khan S.P. (2007). Chemometric application in classification and assessment of monitoring locations of an urban river system, Analytica Chimica Acta 582, pp. 390–399. DOI: 10.1016/j.aca.2006.09.006
  24. Kim, S.E., Seo, I.W. & Choi S.Y. (2017). Assessment of water quality variation of a monitoring network using exploratory factor analysis and empirical orthogonal function. Environmental Modelling & Software 94, pp. 21-35. DOI: 10.1016/j.envsoft.2017.03.035
  25. Koczorowska, R. (2001). The impact of a fuel-energy complex on selected ]elements of water balance [In] German, K. & Balon, J. (Eds) Przemiany środowiska przyrodniczego Polski a jego funkcjonowanie, IGiGP UJ, Kraków, ss. 814., pp. 158-163. (in Polish) https://denali.geo.uj.edu.pl/publikacje,000025?&page=start&menu=3&nr=000025_018&brf=summary#000025_018
  26. Korkmaz, S., Goksuluk, D. & Zararsiz, G. (2020). Package ‘bestNormalize’ https://cran.r-project.org/web/packages/MVN/MVN.pdf
  27. Kostecki, M. (2005) Specificity of the thermal conditions of the "Rybnik" water reservoir as an effect of heated waterseated discharge, Problemy Ekologii 9 (3) 151-161 (in Polish)
  28. Kostecki, M. & Kowalski, E. (2007). Spatial arrangement of heavy metals in the dam-reservoir sediments in the conditions of anthropomixion, Archives of Environmental Protection, 3, pp. 67–81.
  29. Kostecki, M. (2007). Bioaccumulation of heavy metals in selected elements of trophic chain of anthropogenic reservoirs in the aspect of environmental protection and economical function. Institute of Environmental Engineering of the Polish Academy of Sciences, Works & Studies, 71, pp. 87. (in Polish)
  30. Kowalska-Musiał M. & Ziółkowska, A. (2013). Factor analysis in investigating relation structure in relation marketing. Zeszyt Naukowy Wyższej Szkoły Zarządzania i Bankowości w Krakowie. (in Polish)
  31. Kowalski, E., Mazierski, J. (2008). Effects of cooling water discharges from a power plant on reservoir water quality. Oceanological and Hydrobiological Studies International Journal of Oceanography and Hydrobiology, 37, pp. 107- 118. DOI: 10.2478/v10009-008-0001-5
  32. Kumar, J.I.N. (2009). Assessment of spatial and temporal fluctuations in water quality of a tropical permanent estuarine system - Tapi, West Coast India. Applied Ecology and Environmental Research 7(3), pp. 267-276. DOI: 10.15666/aeer/0703_267276
  33. Liu, C.W., Lin, K.H. & Kuo, Y.M., (2003). Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan. The Science of the Total Environment 313, pp. 77–89. DOI: 10.1016/S0048-9697(02)00683-6
  34. Loska,K., Korus, I. & Wiechuła, D. (2009). Arsenic speciation in Rybnik reservoir. Architecture Civil Engineering Environmen, 2(3) pp. 109-116.
  35. Loska, K. , Wiechuła, D. , Pęciak, G. (2003a) Contamination of the arsenic in the bottom sediment of the Rybnik Reservoir. Problemy Ekologii 7 (1), pp. 29-32 (in Polish))
  36. Loska, K., Korus, I., Pelczar J., Wiechuła D. (2005) Analysis of spatial distribution of arsenic in bottom sediments of the Rybnik Reservoir. Gospodarka Wodna 65(3), pp. 104-107. (in Polish)
  37. Loska,.K., Wiechuła, D. (2003b). Application of principal component analysis for the
  38. estimation of source of heavy metal contamination in surface sediments from the Rybnik Reservoir. Chemosphere 51, pp. 723–733. DOI: 10.1016/S0045-6535(03)00187-5
  39. Loska K., Wiechuła D., Cebula J. (2000) Changes in the Forms of Metal Occurrence in Bottom Sediment under Conditions of Artificial Hypolimnetic Aeration of Rybnik Reservoir, Southern Poland. Polish Journal of Environmental Studies 9(6), pp. 523-530.
  40. Loska K., Cebula J., Pelczar J., Wiechuła D. & Kwapuliński J. (1997). Use of enrichment, and contamination factors together with geoaccumulation indexes to evaluate the content of Cd, Cu, and Ni in the Rybnik water reservoir in Poland. Water, Air, & Soil Pollution, 93, pp. 347–365. DOI: 10.1023/A:1022121615949
  41. Loska, K., Wiechula D., Pelczar J. & Kwapulinski J. (1994) Occurrence of heavy metals in bottom sediments of a heated reservoir [the Rybnik Reservoir, southern Poland]. Acta Hydrobiologica. 36(3), pp. 281-295
  42. Loska K., Wiechuła D., Cebula J. & Kwapulinski J (2001) Occurrence of sodium, potassium and calcium in the Rybnik Reservoir. Ochrona Powietrza i Problemy Odpadów, vol. 35 (6), pp. 229–234. (in Polish)
  43. Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A. J. S., & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students' evaluations of university teaching. Structural Equation Modeling, 16(3), 439-476. DOI:10.1080/10705510903008220
  44. Masduqi, A., Endah, N., Soedjono, E. S., Hadi, W. (2010) Structural equation modeling for assessing of the sustainability of rural water supply systems. Water Science & Technology: Water Supply—WSTWS | 10.5 pp. 815 – 823. DOI: 10.2166/ws.2010.339
  45. Mustapha, A. & Aris, A.Z. (2012). Multivariate Statistical Analysis and Environmental Modeling of Heavy Metals Pollution by Industries. Polish Journal of Environmental Studies 5, pp.1359-1367.
  46. OpenStreetMap Foundation (OSMF) https://www.openstreetmap.org/copyright/en
  47. Petersen, W., Bertino, L., Callies, U. & Zorita E. (2001). Process identification by principal component analysis of river water-quality data, Ecological Modelling 138, pp. 193 – 213.
  48. Peterson R.A. (2020). Package ‘bestNormalize’
  49. https://cran.r-project.org/web/packages/bestNormalize/bestNormalize.pdf
  50. R Core Team, (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.
  51. Rajagopal, S., Venugopalan, V.P. & Jenner H.A., (2012). Cooling Water Systems: Efficiency vis-à-vis Environment. [In] Rajagopal, S., Jenner, H.A. & Venugopalan V.P. (Eds) Operational and Environmental Consequences of Large Industrial Cooling Water Systems, pp. 455-461
  52. Reference Document on the application of Best Available Techniques to Industrial Cooling Systems. European Commission, December 2001. http://eippcb.jrc.ec.europa.eu/reference/BREF/cvs_bref_1201.pdf
  53. Revelle W. (2020) Package ‘psych’ https://cran.r-project.org/web/packages/psych/psych.pdf
  54. Rodrigues, P.M.S.M, Rodrigues, R.M.M., Costa, B.H.F., Tavares Martins, A.A.A.L., Estaves da Silva, J.C.G. (2010) Multivariate analysis of the water quality variation in the Serra da Estrela (Portugal) Natural Park as a consequence of road deicing with salt, Chemometrics and Intelligent Laboratory Systems 102, pp. 130–135. DOI: 10.1016/j.chemolab.2010.04.014
  55. Ryberg, K. R. (2017) Structural Equation Model of Total Phosphorus Loads in the Red River of the North Basin, USA and Canada. Journal of Environmental Quality. 46 pp. 1072-1080. DOI: 10.2134/jeq2017.04.0131
  56. Rzętała, M. (2008). Operation of water reservoirs and the course of limnic processes in diverse conditions anthropopression on the example of the Upper Silesian region. Katowice: University of Silesia Publishing House.(in Polish)
  57. Simeonov, V. Stratis, J.A. Samara, C., Zachariadis,G., Voutsa, D., Anthemidis, A., Sofoniou, M., Th. Kouimtzis, Th. (2003) Assessment of the surface water quality in Northern Greece, Water Research 37, pp. 4119–4124. DOI: 10.1016/S0043-1354(03)00398-1
  58. Singh, K.P., Malik, A., Mohan, D., Sinha, S., (2004) Multivariate statistical techniques for the evaluation of spatial and temporal variations in water quality of Gomti River (India) - a case study. Water Research 38, pp. 3980-3992. DOI: 10.1016/j.watres.2004.06.011
  59. Standard Methods for the Examination of Water and Wastewater (2017) 23rd Edition American Public Health Association, American Water Works Association, and Water Environment Federation. ISBN: 978-0-87553-287-5
  60. Statistical Yearbook of Republic of Poland, Warsaw, 2018. (in Polish)
  61. Vega, M., Pardo, R., Barrado, E. & Debán L. (1998). Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis, Water Research 32 pp. 3581-3592. DOI: 10.1016/S0043-1354(98)00138-9
  62. Viswanath, N.C., Kumar, P.G.D. & Ammad K.K. (2015). Statistical Analysis of Quality of Water in Various Water Shed for Kozhikode City, Kerala, India, Aquatic Procedia 4 pp. 1078 – 1085. DOI: 10.1016/j.aqpro.2015.02.136
  63. Wang, S.-W., Liu, C.-W. & Jang, C.-S. (2003). Factors responsible for high arsenic concentrations in two groundwater catchments in Taiwan. Applied Geochemistry, 22, pp. 460–47. DOI: 10.1016/j.apgeochem.2006.11.011
  64. Wiechuła, D., Loska, K. & Korus, I. (2005). Lead partitioning in the bottom sediment of Rybnik reservoir (southern Poland). Water, Air, & Soil Pollution 164, pp. 315–327.
  65. Widziewicz, K. & Loska, K. (2012) Multivariate statistical analyses on arsenic occurrence in Rybnik reservoir. Archives of Environmental Protection 38(2) pp.12-23. DOI: 10.2478/v10265-012-0014-8
  66. Wu, E.M.-Y., Tsai, C.C., Cheng, J.F., Kuo, S.L., Lu, W.T. (2014) The Application of Water Quality Monitoring Data in a Reservoir Watershed Using AMOS Confirmatory Factor Analyses, Environmental Modeling & Assessment 19, pp. 325–333. DOI 10.1007/s10666-014-9407-5
  67. Zemełka, G. & Szalinska, E. (2017). Heavy Metal Contamination of Sediments from Recreational Reservoirs of Urban Areas and its Environmental Risk Assessment, Engineering and Protection of Environment, 20(1), pp.131-145. DOI: 10.17512/ios.2017.1.10
Go to article

Authors and Affiliations

Jerzy Mazierski
1
Maciej Kostecki
1
ORCID: ORCID

  1. Institute of Environmental Engineering, Polish Academy of Sciences, Poland
Download PDF Download RIS Download Bibtex

Abstract

This paper provides a method for simplified description of a regional power grid model aimed to deliver a grid reduction, and improve grid performance observability. The derived power grid model can be used to analyze the regional allocation of the decentralized energy generation and consumption. The expansion of wind and solar generation in the power system affects the residual load. The power balance between electricity consumption and generation was calculated and analyzed based on the temporal and spatial scales. The proposed grid clustering method is a useful approach for performance analysis in systems with a growing share of renewable generation.
Go to article

Authors and Affiliations

Yang Li
1
ORCID: ORCID
Przemysław Janik
2
ORCID: ORCID
Harald Schwarz
1
Klaus Pfeiffer
1

  1. Brandenburg University of Technology Cottbus-Senftenberg, Department of Energy Distribution and High Voltage Engineering, 03046 Cottbus, Germany
  2. Wrocław University of Science and Technology, Department of Electrical Engineering Fundamentals, 50-377 Wrocław, Poland
Download PDF Download RIS Download Bibtex

Abstract

The aim of the study was to compare two grouping methods for regionalisation of watersheds, which are similar in respect of low flow and chosen catchments parameters (physiographic and meteorological). In the study, a residual pattern approach and cluster analysis, i.e. Ward’s method, were used. The analysis was conducted for specific low flow discharge q95 (dm3∙s–1∙km–2). In the analysis, 50 catchments, located in the area of the upper and central Vistula River basin, were taken. Daily flows used in the study were monitored from 1976 to 2016. Based on the residual pattern approach (RPA) method, the analysed catchments were classified into two groups, while using the cluster analysis method (Ward’s method) – into five. The predictive performance of the complete regional regression model checked by cross-validation R2cv was 47% and RMSEcv = 0.69 dm3∙s–1∙km–2. The cross validation procedure for the cluster analysis gives a predictive performance equal to 33% and RMSEcv = 0.81 dm3∙s–1∙km–2. Comparing both methods, based on the cross-validated coefficient of determination (R2cv), it was found that the residual pattern approach had a better fit between predicted and observed values. The analysis also showed, that in case of both methods, an overestimation of specific low flow discharge q95 was observed. For the cross-validation method and the RPA method, the PBIAS was –10%. A slightly higher value was obtained for the cross-validation method and models obtained using cluster analysis for which the PBIAS was –13.8%.
Go to article

Authors and Affiliations

Agnieszka Cupak
1
ORCID: ORCID
Bogusław Michalec
1
ORCID: ORCID

  1. University of Agriculture in Krakow, Faculty of Environmental Engineering and Land Surveying, al. Mickiewicza 21, 31-120 Kraków, Poland

This page uses 'cookies'. Learn more