81. Data Analytics based Techniques for Improvement of E-Governance in Developing NationsRajan Gupta, 2019, unpublished conference contribution Abstract: United Nation’s E-Governance Development Index is a development assessment index for all the nations around on the E-Governance front. Every country is ranked on the basis of a quantitative parameter derived out of few important components. But such development assessment index is missing at regional level in a country so that regional development can be assessed and work can be monitored. Few countries have local assessment models but are not exhaustive enough which can be used for development assessment and further development plan formation. Therefore, there is a need for this study to develop such assessment framework and develop approaches to have a meaningful contribution in improvement of E-Governance in the country at regional level. After the assessment of the regions on the development front of E-Governance, the improvement techniques must be defined for the weak parameters, so that regional development can be enhanced.
For the experiment purpose, India has been chosen as the experiment country for which datasets has been used from Indian E-Governance transactions. This problem is important to be addressed because an overall quantitative measure of E-Governance development of the country will help in improving overall E-Governance rankings at world level, attract better investors, and will help the government to prepare a more inclusive plan on the development front. Most of the studies in literature are citizen centric and thus are not fit for development assessment. The current study has not only developed a framework but has also analyzed various components related to it in detail and suggested the way ahead for E-Governance in the country
Keywords: E-Governance, Development Assessment, Location Allocation, Intrusion Detection
Published in RUNG: 02.04.2021; Views: 2161; Downloads: 0
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82. Binary division fuzzy C-means clustering and particle swarm optimization based efficient intrusion detection for e-governance systemsSunil K. Muttoo, Saibal K. Pal, 2016, original scientific article Abstract: With the rapid rise of technology, many unusual and unwanted patterns have been observed in the communication network andrespective systems. This may be attributed to the increase of external threats that cause many security concerns. Such anomalies and unusual behavior lead to a strong need of studying and designing the Intrusion Detection Systems and Clustering. Currently,a variety of clustering methods and their combinations are used to develop an efficient intrusion detection system, but some metrics like low detection rate and high false alarm rate make these models unsatisfactory. The problem of local minima for clustering technique makes their search ability less efficient. An evolutionary technique called particle swarm optimization algorithm, that is based on swarm intelligence, shows a high global maxima search capability. In this paper, these two techniques have been combined to present a novel approach called fuzzy based particle swarm algorithm for the implementation of intrusion detection system. The experiment was conducted on a new data set called Kyoto data set with more number of anomalies. The obtained results were compared with two traditional clustering techniques based on K-Means and Fuzzy C-Means. It was observed that the proposed algorithm outperformed the other two traditional methods on the basis of the Detection Rate and False Alarm rate. In past some researchers have presented the combination of Fuzzy Based Particle Swarm Optimization algorithm to improve the intrusion detection rate,but this rate has been further improved because the algorithm performance depends on the termination condition and the fitness function value which are new in the proposed algorithm. Moreover, cluster numbers have been considered differently in the past, whereas the proposed algorithm works only on binary clustering.
Keywords: intrusion detection, fuzzy C-means clustering, particle swarm optimization, detection rate, e-governance
Published in RUNG: 01.04.2021; Views: 1904; Downloads: 0
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83. Bioaerosol field measurements: Challenges and perspectives in outdoor studiesTina Šantl Temkiv, Branko Sikoparija, Teruya Maki, Federico Carotenuto, Pierre Amato, Maosheng Yao, Cindy E. Morris, Russ Schnell, Ruprecht Jaenicke, Christopher Pöhlker, Paul J. DeMott, Thomas C. J. Hill, J. Alex Huffman, 2020, review article Keywords: Bioaerosols, bioaerosol sampling, bioaerosol detection
Published in RUNG: 04.01.2021; Views: 2306; Downloads: 0
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84. Mass Composition of Cosmic Rays with Energies above 10[sup]17.2 eV from the Hybrid Data of the Pierre Auger ObservatoryAlexey Yushkov, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: Pierre Auger Observatory, ultra-high energy cosmic rays (UHECR), UHECR hybrid detection, UHECR mass composition
Published in RUNG: 21.12.2020; Views: 2304; Downloads: 69
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86. Direct measurement of the muonic content of extensive air showers between 2 × 10[sup]17 and 2 × 10[sup]18 eV at the Pierre Auger ObservatoryA. Aab, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2020, original scientific article Keywords: ultra-high energy cosmic rays (UHECRs), extensive air showers, Pierre Auger Observatory, underground muon detectors, hybrid detection, muonic content in air showers
Published in RUNG: 24.08.2020; Views: 2624; Downloads: 72
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87. A Large Radio Detector at the Pierre Auger Observatory – Measuring the Properties of Cosmic Rays up to the Highest EnergiesBjarni Pont, Andrej Filipčič, Gašper Kukec Mezek, Samo Stanič, Marta Trini, Serguei Vorobiov, Lili Yang, Danilo Zavrtanik, Marko Zavrtanik, Lukas Zehrer, 2019, published scientific conference contribution Keywords: ultra-high energy cosmic rays (UHECRs), Pierre Auger Observatory, UHECR Radio Detection, Auger Engineering Radio Array (AERA), AugerPrime Upgrade Radio Detectors
Published in RUNG: 24.07.2020; Views: 2678; Downloads: 75
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88. A new optical-based technique for real-time measurements of mineral dust concentration in PM10 using a virtual impactorLuka Drinovec, Jean Sciare, IASONAS STAVROULAS, Spiros Bezantakos, Michael Pikridas, FLORIN UNGA, Chrysanthos Savvides, Bojana Višnjić, Maja Remškar, Griša Močnik, 2020, original scientific article Abstract: Atmospheric mineral dust influences Earth’s radiative
budget, cloud formation, and lifetime; has adverse
health effects; and affects air quality through the increase of
regulatory PM10 concentrations, making its real-time quantification
in the atmosphere of strategic importance. Only
few near-real-time techniques can discriminate dust aerosol
in PM10 samples and they are based on the dust chemical
composition. The online determination of mineral dust using
aerosol absorption photometers offers an interesting and
competitive alternative but remains a difficult task to achieve.
This is particularly challenging when dust is mixed with
black carbon, which features a much higher mass absorption
cross section. We build on previous work using filter photometers
and present here for the first time a highly timeresolved
online technique for quantification of mineral dust
concentration by coupling a high-flow virtual impactor (VI)
sampler that concentrates coarse particles with an aerosol absorption
photometer (Aethalometer, model AE33). The absorption
of concentrated dust particles is obtained by subtracting
the absorption of the submicron (PM1) aerosol fraction
from the absorption of the virtual impactor sample (VIPM1
method). This real-time method for detecting desert
dust was tested in the field for a period of 2 months (April and
May 2016) at a regional background site of Cyprus, in the
Eastern Mediterranean. Several intense desert mineral dust
events were observed during the field campaign with dust
concentration in PM10 up to 45 μgm
Keywords: aerosol absorption, mineral dust, on-line detection, air quality
Published in RUNG: 20.07.2020; Views: 2740; Downloads: 0
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89. TARA: Forward-scattered radar detection of UHECR at the telescope arrayJ. Belz, Jon Paul Lundquist, 2013, published scientific conference contribution Abstract: Increased event statistics will be required to definitively answer the question of the origin(s) of Ultra-High Energy Cosmic Rays (UHECR). Using current technologies however, achieving the necessary statistics may be financially and practically impossible. We describe the status and plans of the TARA project, an effort to detect Ultra-High-Energy Cosmic Rays by their forward scattered or “bistatic” radar signature. Bistatic radar holds promise as a new remote sensing technique for UHECR, without the duty cycle limitations of nitrogen fluorescence detectors. Such a technique could prove key in advancing the study of UHECR beyond the constraints of the current generation of cosmic ray observatories. TARA consists of a low-VHF television transmitter illuminating the air above the Telescope Array (TA), and a set of radio receivers on the far side of TA approximately 50 km distant from the transmitter. We have collected radar data since April 2011 using a 2 kW transmitter at 54.1 MHz. Recently, we received permission to increase our broadcast power to 40 kW and our effective radiated power (ERP) to 6 MW. On the receiver end, we are employing software-defined radio receivers and developing real-time trigger algorithms based on the expected air shower radar echo. In addition to presenting an overview of the project status and future plans, we will present the most recent results of searches for coincidences between radar echoes and Telescope Array air shower events.
Keywords: UHECR, cosmic rays, radar detection
Published in RUNG: 29.04.2020; Views: 2678; Downloads: 96
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