Periodicals of Engineering and Natural Sciences (PEN - International University of Sarajevo)
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Data Science: Identifying influencers in Social Networks
Get PDFData science is a "concept to unify statistics, data analysis and their related methods" in order to "understand and analyze actual phenomena" with data. The common use of Online Social Networks (OSN)[2] for networking communication which authorizes real-time multimedia capturing and sharing, have led to enormous amounts of user-generated content in online, and made publicly available for analysis and mining. The efforts have been made for more privacy awareness to protect personal data against privacy threats. The principal idea in designing different marketing strategies is to identify the influencers in the network communication. The individuals influential induce “word-of-mouth” that effects in the network are responsible for causing particular action of influence that convinces their peers (followers) to perform a similar action in buying a product. Targeting these influencers usually leads to a vast spread of the information across the network. Hence it is important to identify such individuals in a network, we use centrality measures to identify assign an influence score to each user. The user with higher score is considered as a better influencer
Autopilot Quadcopter
Get PDFThe objective of this undertaking was to plan the frameworks & calculations important to permit a quadcopter to self-sufficient find & arrive on a station. The motivation behind this framework was to diagram a structure for a quadcopterrelated information accumulation or reconnaissance framework[1]so as to adapts to a generally short battery working capability of these very cell phones by reliably finding the AAV securely in an assigned area is energized. The Robotics ArduCopter picked as the quadcopter stage as it is prepared to do self-rulingly drifting set up&is fit for conveying a payload, for example, the camera used to decide the area of the dock. A framework was conceived with the end goal that the quadcopter can accurately decide the area[2] of an objective ground station while floating&afterward arrive when over the objective. Just economically accessible parts&free programming were utilized to with the goal that the whole docking framework is effortlessly open to future analysts&UAV fans
New mathematical models for predicting the lifetime of EPDM insulators: Effect of elongation at break on the kinetic degradation of EPDM insulators subjected to thermo-oxidation
Get PDFEthylene propylene diene monomer (EPDM) is an important polymer extensively exploited in plasturgy. However, relatively few studies have been carried out to predict the lifetime of EPDM in different climatic conditions particularly, thermo-oxidation. Based on this realization, the aim of the present work was to develop mathematical models for predicting the lifetime of EPDM elastomers, used for insulation of electric cables.
The kinetic degradation of EPDM insulators, by monitoring change in a physical property (elongation at break test “ℇr”), was studied by following its thermo-oxidative aging (70, 90, 110 and 130 ° C in air circulating oven). The multiple linear regression analysis (MLRA), solved by the Cholesky method, was the mathematical approach developed in the modeling of the kinetic degradation. In this study, we used two insulators materials when the first insulator contained an amorphous EPDM and the second contained a semi-crystalline EPDM. The results showed that the polynomial models developed to predict elongation at break were reliable for both insulators under thermo-oxidation. The half-life times predicted by the mathematical models was found to be statistically significant (p< 0.05). In conclusion, the mathematical models developed in our study could be used confidently to predict the lifetime of EPDM elastomers
Applicability of Pressure Retarded Osmosis Power Generation Technology in Istanbul
Get PDFIn this study, the applicability of pressure retarded osmosis power generation was investigated in order to meet the electricity demand in Turkey. Pressure retarded osmosis (PRO) is a method that converting salinity gradients to power using a semi-permeable membrane against an applied pressure and PRO is one of the promising candidates to reduce fossil fuel dependency. In PRO, water is transported from a low concentrated feed solution to a high-concentrated draw solution. According to the literature findings, in order to produce 1MW of electricity 1m3/s fresh water flow is needed. Turkey is surrounded on three sides by water and has a big potential to develop this technology. Riva River is investigated in the scope this study. Currently Turkey’s total installed power capacity reached 85.200 MW at the end of 2017.Calculations of PRO power generation reveals that it is possible to generate 25,45 MW, If using 5% of total river flow
A resilient scheme for a flexible smart grid using Transformation optimization towards sustainable energy
Get PDFThe transmission line is the most vulnerable element of any electrical power system due to its large physical dimension. This paper focused on identification of simple power system fault using wavelet based analysis of transmission line parameter disturbances for quick and reliable operation of protection schemes. The fault detection is disbursed by the assay of the detail coefficients activity of appearance currents. Discrete Wavelet Transform (DWT) examination of the transient aggravation created as an aftereffect of event shortcomings is performed. The result shows that the proposed method detects the fault very quickly and accurately. Simulation results are presented showing the selection of proper threshold value for fault detection. An embedded intelligence is inserted into the power-electronics to facilitate the reconfiguration of the system, and thereby ensuring security
A Novel Approach for Iceberg Query Evaluation on Multiple Attributes Using Set Representation
Get PDFIceberg query (IBQ) can be an really identifying kind of aggregation question that calculate aggregations up-on user given threshold (T). In data mining field, effective investigation of compounding queries was because of by the majority of investigators because the tremendous generation of information outside of industrial and businesses industries. Conclusion assist database and discovery of the majority of information connected systems largely calculate the worthiness of most fascinating features having an critical level of information from data foundations that may be tremendous. By means of the paper, we propose that an initial Manner of calculating IBQ, which builds a choice for every attribute nicely value, but additionally includes a One of a Kind events Inside the attribute column also plays specify operations for creating closing Outcomes. We formulated highly effective GUI software for just 2 characteristics, numerous traits employing egotistical prepare and several features utilizing lively plan. If data collection comprises two traits, then it truly is substantially more advanced than apply just two traits. In the event of information collection comprises multiple traits, predicated up on anyone choice suitable module could potentially be decided on. If characteristic uniqueness changes from characteristic in to the following characteristic, then vibrant variety approach is very powerful. This strategy somewhat reduces performance memory and time space contrast with additional processes. A experiment using artificial Statistics collection and actual info demonstrates our strategy will be considerably more effective compared to present apps for Nearly Every threshold
Contribution to the quality improvement of manganese steel Z120 MC12
Get PDFManganese steel, known by the name of its inventor, steel Hedfield is deemed by its high mechanical shock resistance, it is used in the field of crushing and grinding. This type of steel is obtained by adding manganese (Mn) between (12 & 18%) to get a metallographic structure austenitic. For a very good quality of the manufactured parts, and to prevent crack initiation intergranular generated by the presence of pre-cipitates or clusters of carbides in the areas near the grain boundary, it is necessary to conduct a treatment hyper thermal quenching at 1050°C to dissolve these clusters. On all treated samples, we find the presence of an austenitic structure with a homogeneous distribution of grains having a size to be correct [1]. However, it appears as a network, the presence of a network of black dots (as precipitates) we find abnormal, and which we know neither the nature nor its impact on the metallurgical quality of the material. To solve this problem, we con-ducted a specific analysis by scanning electron microscopy (SEM) to explain the nature of these blackheads and subsequently, tried to judge when its influence on the structure of austenitic manganese steel
Raman and FT-IR Spectra, DFT and SQMFF calculations for N,N-Dimethylaniline
Get PDFRaman and FT-IR spectra of N,N-Dimethylaniline (DMA) molecule, which is a monoazo disperse dye, were recorded in the regions of 0 to 2085 cm−1 (Raman) and 350-4000 cm-1 (FT-IR). Vibrational frequencies calculation and molecular electronic potential surface have been computed by using density functional B3LYP method with the 6-31+G(d,p) set for the ground state geometry of the title molecule. Total potential energy distributions (TED) was obtained with Scaled Quantum Mechanical calculations to make the fundamental assignment. Assigned fundamental modes of DMA molecule were compared with the previous reported experimental values
Soft-hard data fusion using uncertainty balance principle –corporate credit risk in commercial banking
Get PDFThis study introduces Uncertainty Balance Principle (UBP) as a new concept/method for incorporating additional soft data into probabilistic credit risk assessment models. It shows that soft banking data, used for credit risk assessment, can be expressed and decomposed using UBP and thus enabling more uncertainty to be handled with a precise mathematical methodology. The results show that this approach has relevance to credit risk assessment models in the sense that it proved its usefulness for the purpose of soft-hard data fusion, it modified Probability of Default with soft data modeled using possibilistic (fuzzy) distributions and fused with hard probabilistic data via UBP and it obtained better classification prediction results on the overall sample. This was demonstrated on a simple example of one soft variable, two experts and a small sample and thus this is an approach/method that requires further research, enhancements and rigorous statistical testing for the application to a complete scoring and/or rating system
Spectrum sensing approaches in cognitive radio network
Get PDFDue to fixed spectrum allocation phenomenon (FSA), spectrum agreement failed to satisfy the demanded of new applications. However, cognitive radio is approached for utilizing the spectrum and for overcoming resources deficiency. Day by day, number of radio spectrum users is increasing as life tends towards new technologies in all sectors; so, even those users of licensed band are demanding larger radio spectrum. Users may get assigned into other bands to balance the radio spectrum congestion. In this paper, radio spectrum is sensed for voids detection and secondary user assignment. Two approaches are discussed for spectrum sensing, more likely, Underlay and Interweave spectrum allocation. This paper argues the performance metrics of each in terms of queuing time minimization and throughput enhancement.