The aim of this research was to implement a geographical information system with multi-criteria decision making methods, to select the most feasible location for installing wind power plants in ...continental Ecuador. In addition, a standardization process was performed, which consists of establishing an overall performance index to evaluate the results. Finally, the Pearson correlation coefficient is used to analyze mutual correspondence between multi-criteria decision making methods.
In this research, different selection criteria which include meteorological parameters (wind speed, air density), relief (slope), location (distances to substations, road network, urban areas, transmission lines, charging ports) and environmental parameters (vegetation coverage), have been considered.
The results of this research revealed that the site with the highest overall performance index is the Andean region of Ecuador, with an area of more than 617.5 km2. The outcome of the overall performance index indicates that the four selected multi-criteria decision making methods provided similar results, where the value was equal to or greater than 75% of the maximum punctuation of an ideal location. In this context, the methods analyzed converge to similar solutions and indicate that the multi-criteria decision making method is a powerful tool for selecting ideal locations for wind farms.
•It has assessed continental Ecuador for wind suitability.•It applies a geographical information system (GIS) with multi-criteria decision-making (MCDM) methods.•The Andean region of Ecuador is the most suitable place to install wind farms.•The pearson correlation coefficient (PCC) is used to analyze mutual correspondence between MCDM methods.
Soft set theory provides a parameterized treatment of uncertainty, which is closely related to soft computing models like fuzzy sets and rough sets. Based on soft sets and logical formulas over them, ...this study aims to present a new approach for revealing the causal relationship between values of attributes in an information system. The main procedure of our new method is as follows: First, we choose the attributes to be analyzed and construct some partition soft sets from a given information system. Then we compute the extended union of the obtained partition soft sets, which results in a covering soft set. Further, we transform the obtained covering soft set into a decision soft set and consider logical formulas over it. Next, we calculate various types of soft truth degrees of elementary soft implications. Finally, we can rank attribute values and plot some illustrative graphs, which helps us extract useful knowledge from the given information system. We use several examples, including a classical example given by Pawlak and a practical application concerning IT applying features analysis, to illustrate the newly proposed method and related concepts. In addition, we compare soft attribute analysis with rough attribute analysis and also relate it to soft association rules mining.
Dalam menjalani proses perkuliahan salah satu unsur penting adalah mahasiswa dan nilai mahasiswa tersebut. Di prodi Jaringan Telekomunikasi Digital Politeknik Negeri Malang sendiri saat ini masih ...menggunakan sistem pengolahan data nilai mahasiswa di lembar kerja komputer standar tanpa ada software khusus, Selain itu semakin bertambahnya data dari tahun ke tahun akan menyulitkan dalam proses akses dan pencarian, dimana pada saat ini penyebaran teknologi informasi dituntut harus lebih cepat dan mudah diakses. Pada penelitian ini metode yang digunakan dalam sistem rekap nilai mahasiswa yaitu dengan membuat website. Kemudian website diupload pada server dan menggunakan media transmisi fiber optik . Hasil pengujian fungsionalitas website sistem dapat bejalan sesuai perencanaan. Pada pengujian kinerja website menggunakan media transmisi wireless dan fiber optik dihasilkan nilai delay, packet loss, dan throughput paling baik ketika menggunakan jaringan fiber optik. dengan hasil delay 0.113s untuk media transmisi wireless dan 0.004s dengan media transmisi menggunakan fiber optik pada 9 pengguna mengakses website secara bersamaan. Untuk nilai throughput yang diperoleh yaitu 48.229 kbps dengan media transmisi wireless dan 956.347 kbps dengan media transmisi fiber optik. Dari hasil ini diperoleh semakin banyak jumlah pengguna, maka delay dan throughput semakin baik. Dan pada parameter packet loss diperoleh nilai 10.457% dengan media trasnmisi wireless dan 0.667% dengan media transmisi fiber optik ketika diakses 9 pengguna.
The demands and uses of satellite spatial data are developing and diversifying significantly, in line with the precision, frequency of shooting and size of the images. It is therefore necessary to ...understand and report on the impact of this growing production on the organisation and rationalisation of the structures that use them, but also on the effectiveness and transparency of public policies that use this information. Spatial data infrastructures (SDIs) are essential devices: they facilitate access to images (acquisition, processing, archiving), as well as the processes of sharing and methodological innovation. They constitute public information goods and mobilise increasing resources, which requires us to question the types of "economic models" to which they belong. This guide, which is both educational and operational, is intended for all those involved in the production or use of spatial information. It allows for an à la carte reading according to centres of interest and disciplines, through multiple boxes and examples. It presents the concepts and methods of economic evaluation applied to spatial information, detailing three types of approach depending on whether one wants to estimate the value of spatial information, measure the economic spin-offs of an SDI or characterise its impacts using multi-criteria approaches.
•We investigate why do so many digital transformation efforts fail.•We challenge existing assumptions that digital transformations lead to successful outcomes.•We identify key issues causing digital ...transformation failure.•Our findings explain how researchers and practitioners should identify certain pitfalls leading to digital transformation failure.•We present a future research agenda which calls for more critical comparisons between the success and failure of digital transformations.
Over the past decade, there has been a surge of publications focusing on digital transformation (DT). Yet, while the majority of current research reports on DT implementation, we continue to learn about the significant risk posed by high failure rates in these transformation efforts. This raises a crucial research question: “Why do so many digital transformations fail?” We conducted a bibliometric analysis to examine this question, identifying the key themes related to the failure of DT. Using thematic mapping, we scrutinise the literature to delve into the main causes behind the limited advancements in comprehending DT failure and the absence of both conceptual and empirical clarity on the new phenomena of DT. Our findings indicate a widespread tendency to categorise the DT ecosystem using terms like ‘technology’, ‘information system’, and ‘management’, among others. However, this approach neglects an in-depth examination of the specific and novel aspects of DT that have contributed to its failures. Additionally, we propose key recommendations for shaping future research agendas in this domain.
As the climate crisis intensifies, the urgency for sustainable, agroecological farming practices has never been greater. This study explores the potential of agrivoltaic systems (AVSs) to meet these ...needs efficiently. Utilizing geographic information systems for quantitative analysis, this research assesses the electricity generation, agricultural output, job creation, and economic impact of implementing AVS in Japan’s Kansai region. The study identifies an ample generation potential, including up to 14,041 GWh/year of electricity generation, suggesting that AVSs could be instrumental in shaping effective policies for both decarbonization and food security.
Today, traffic is one of the biggest problems of urban management. There are two general methods for traffic management, soft and hard methods. In the hard method, physical changes are applied to the ...road network, and in the soft method, the existing conditions are optimized. Traffic forecasting is one of the soft methods for traffic management. Traffic forecasting is usually done based on the time of existing traffic conditions, while the effect of location and neighborhood, which is one of the concepts of GIS science, is less seen in predictions. In this research, variables affecting traffic were first identified. Then, five machine learning methods were used to predict traffic on all city roads. KNN method was selected as the best one with accuracy and Kappa of 96.14% and 0.95 respectively. Finally, the prediction map was prepared by applying the superior model and Geographic Information System (GIS). One of the advantages of the traffic prediction map is easy for users and administrators to manage traffic.
Based on an agent model combined with complex network analysis, this paper investigates the effects of different leadership styles and network structures on organisational learning in online work ...knowledge community (OWKC). The paper further examines other factors related to the relationship between leadership style and organisational learning, such as environmental change and personnel turnover in OWKC. The results show that the leadership style of differential leader-member exchange (DLMX)) produces higher online community knowledge performance (OCKP) than the leadership style of uniform leader-member exchange (ULMX) in small-world networks, while ULMX outperforms DLMX in scale-free networks. However, with environmental change and in the presence of personnel turnover, ULMX performs better in small-world networks.
The α-1 antitrypsin (AAT) protease inhibitor PiMZ is a moderately deficient genotype, until recently considered of little or negligible risk. However, a growing number of studies show that MZ ...carriers have an increased risk of developing lung and liver diseases, if exposed to smoking or other airborne or industrial pollutants, and hepatotoxic substances.
We used the epidemiological studies performed to determine the frequencies of PiM and PiZ worldwide, based on the following criteria: 1) samples representative of the general population; 2) AAT phenotyping or genotyping characterized by adequate methods, including isoelectric focusing and polymerase chain reaction; and 3) studies with reliable results assessed with a coefficient of variation calculated from the sample size and 95% confidence intervals, to measure the precision of the results in terms of dispersion of the data around the mean.
The present review reveals an impressive number of MZs of more than 35 million in 74 countries of the world with available data. Seventy-five percent of them are people of Caucasian European heritage, mostly living in Europe, America, Australia and New Zealand. Twenty percent of the remaining MZs live in Asia, with the highest concentrations in the Middle East, Eastern¸ Southern, and South-eastern regions of the Asian continent. The remaining five percent are Africans residing in Western and Eastern Africa.
Considering the high rate of smoking, the outdoor and the indoor air pollution from solid fuels used in cooking and heating, and the exposure to industrial dusts and chemicals in many of these countries, these figures are very worrying, and hence the importance of adequately assessing MZ subjects, recommending them rigorous preventive measures based on the adoption of healthy lifestyles, including avoidance of smoking and alcohol.
This study describes a combined method for rainfall-induced debris flow initiations (landslides) and propagations including a series of numerical analyses. In this study, the debris is assumed as a ...mixture of soils and water which is physically non-Newtonian fluid. The emphasis is placed on applying the effect of the combination of rainfall-induced landslides and debris flows to the numerical analysis. An analysis of rainfall-induced landslides is conducted to identify the thickness and location of the initial volume of debris flow. The movement of debris flow is subsequently simulated considering entrainments affected by the initial wetting condition (wetting front) estimated from the rainfall-infiltration analysis. The proposed method can simulate a sequential process from the initiation of the debris flows to the deposition based on the prediction of slope failure by rainfall, fluid dynamics based on Navier–Stokes equation, and the analysis of entrainments by considering the effect of the weight of debris and the wetting condition of soil beds. Based on the numerical results of this study, the proposed method could be applied to the analysis of regional-scale landslides and debris flows.
PDF
