المؤلفون: AkkaÅŸ, Mustafa Alper

مصطلحات موضوعية: Body-centric nano-communication, blood, fat, nano-communication, skin, transmit power, Channel capacity, Data acquisition, Oils and fats, Signal to noise ratio, Terahertz waves, Wave propagation, Calculation results, Human bodies, Model-based OPC, Nano communications, Noise levels, Tera Hertz, Transmit power estimations, Nanosensors

الوصف: This paper presents the capacity and SNR (Signal to Noise Ratio) calculation of nano-sensors propagating model inside the human body. The model based on the calculation of path losses and noise level for THz (Terahertz) wave propagation. In the model the channel capacity and SNR are also studied according to transmit power of nano-sensor for future nano-communications inside the human body. According to the transmit power at frequencies based on the calculation results in blood, skin and fat environments show that at the distance of millimeters, the capacity can reach very high values depending on permitted bandwidth, transmit power and environment. © 2016 IEEE.

العلاقة: Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9138Test; https://doi.org/10.1109/IDAACS-SWS.2016.7805785Test; 51; 55; 2-s2.0-85014268849; WOS:000392693200009

الإتاحة: https://doi.org/10.1109/IDAACS-SWS.2016.7805785Test
https://hdl.handle.net/11499/9138Test

المؤلفون: Ghasemi, E., Kalhori, Hamid, Bagherpour, R., Yagiz, S.

مصطلحات موضوعية: Index tests, Carbonate rocks, M5P algorithm, Model tree, Uniaxial compressive strength, Young’s modulus, Carbonates, Carbonation, Compressive strength, Forecasting, Forestry, Rocks, Sedimentary rocks, Soft computing, Wave propagation, Carbonate rock, Model trees, Regression-based model, Slake durability indices, Soft computing approaches, Soft computing tools, Trees (mathematics), algorithm, model, prediction, Young modulus, Turkey

الوصف: The uniaxial compressive strength (UCS) and Young’s modulus (E) of rock are important parameters for evaluating the strength, deformation, and stability of rock engineering structures. Direct measurement of these parameters is expensive, time-consuming, and even infeasible in some circumstances due to the difficulty involved in obtaining core samples. Recently, soft computing tools have been used to predict UCS and E based on index tests. Most of these tools are not as transparent and easy to use as empirical regression-based models. This study presents another soft computing approach—model trees—for predicting the UCS and E of carbonate rocks. The main advantages of model trees are that they are easier to use than other data learning tools and, more importantly, they represent understandable mathematical rules. In this study, the M5P algorithm was employed to build and evaluate model trees (UCS and E model trees). First, the models were developed in an unpruned form, and then they were pruned to avoid overfitting. The data used to train and test the model trees were collected from quarries in southwestern Turkey. Model trees included Schmidt hammer, effective porosity, dry unit weight, P-wave velocity, and slake durability index as input variables. When the models were assessed using a number of statistical indices (RMSE, MAE, VAF, and R2), it was found that unpruned and pruned model trees provide acceptable predictions of UCS and E, although the pruned models are simpler and easier to understand. © 2016, Springer-Verlag Berlin Heidelberg.

العلاقة: Bulletin of Engineering Geology and the Environment; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/10854Test; https://doi.org/10.1007/s10064-016-0931-1Test; 77; 331; 343; 2-s2.0-84983438099; WOS:000424335400022

الإتاحة: https://doi.org/10.1007/s10064-016-0931-1Test
https://hdl.handle.net/11499/10854Test

المؤلفون: Jahed Armaghani, D., Mohd Amin, M.F., Faradonbeh, R.S., Abdullah, R.A., Yağız, Saffet

مصطلحات موضوعية: Imperialist competitive algorithm, Artificial neural network, Non-destructive tests, Point load index, Uniaxial compressive strength, Mean square error, Neural networks, Nondestructive examination, Optimization, Sandstone, Seismic waves, Wave propagation, Coefficient of determination, Imperialist competitive algorithms, Modeling technique, Non-destructive test, Performance indices, Point load, Root mean squared errors, Compressive strength, algorithm, nondestructive testing, numerical model, prediction, rock mechanics, uniaxial strength, Dengkil, Malaysia, Selangor, West Malaysia

الوصف: Sandstone blocks were collected from Dengkil site in Malaysia and brought to laboratory, and then intact samples prepared for testing. Rock tests, including Schmidt hammer rebound number, P-wave velocity, point load index, and UCS were conducted. The established dataset is composed of 108 cases. Consequently, the established dataset was utilized for developing the simple regression, linear, non-linear multiple regressions, artificial neural network, and a hybrid model, developed by integrating imperialist competitive algorithm with ANN. After performing the relevant models, several performance indices i.e. root mean squared error, coefficient of determination, variance account for, and total ranking, are examined for selecting the best model and comparing the obtained results. It is obtained that the ICA-ANN model is superior to the others. It is concluded that the hybrid of ICA-ANN could be used for predicting UCS of similar rock type in practice. © 2016 Elsevier Ltd.

العلاقة: International Journal of Rock Mechanics and Mining Sciences; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9606Test; https://doi.org/10.1016/j.ijrmms.2016.03.018Test; 85; 174; 186; 2-s2.0-84962409054; WOS:000375209700017

الإتاحة: https://doi.org/10.1016/j.ijrmms.2016.03.018Test
https://hdl.handle.net/11499/9606Test

المؤلفون: Jahed Armaghani, D., Tonnizam Mohamad, E., Hajihassani, M., Motaghedi, H., Yağız, Saffet

مصطلحات موضوعية: Artificial neural network, Adaptive neuro-fuzzy inference system, Granite, Non-linear multiple regression, Uniaxial compressive strength, Compressive strength, Forecasting, Fuzzy inference, Fuzzy systems, Mean square error, Neural networks, Seismic waves, Statistical tests, Tracking (position), Wave propagation, Coefficient of determination, Rocks, Non linear, Non-linear predictions, Performance indices, Ranking procedures, Root mean squared errors

الوصف: Uniaxial compressive strength (UCS) of rock is crucial for any type of projects constructed in/on rock mass. The test that is conducted to measure the UCS of rock is expensive, time consuming and having sample restriction. For this reason, the UCS of rock may be estimated using simple rock tests such as point load index (Is(50)), Schmidt hammer (Rn) and p-wave velocity (Vp) tests. To estimate the UCS of granitic rock as a function of relevant rock properties like Rn, p-wave and Is(50), the rock cores were collected from the face of the Pahang–Selangor fresh water tunnel in Malaysia. Afterwards, 124 samples are prepared and tested in accordance with relevant standards and the dataset is obtained. Further an established dataset is used for estimating the UCS of rock via three-nonlinear prediction tools, namely non-linear multiple regression (NLMR), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS). After conducting the mentioned models, considering several performance indices including coefficient of determination (R2), variance account for and root mean squared error and also using simple ranking procedure, the models were examined and the best prediction model was selected. It is concluded that the R2 equal to 0.951 for testing dataset suggests the superiority of the ANFIS model, while these values are 0.651 and 0.886 for NLMR and ANN techniques, respectively. The results pointed out that the ANFIS model can be used for predicting UCS of rocks with higher capacity in comparison with others. However, the developed model may be useful at a preliminary stage of design; it should be used with caution and only for the specified rock types. © 2015, Springer-Verlag London.

العلاقة: Engineering with Computers; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/9638Test; https://doi.org/10.1007/s00366-015-0410-5Test; 32; 189; 206; 2-s2.0-84961061738; WOS:000372294400002

الإتاحة: https://doi.org/10.1007/s00366-015-0410-5Test
https://hdl.handle.net/11499/9638Test

المؤلفون: Yağız, Saffet

مصطلحات موضوعية: P-wave velocity, Empirical equations, Regression analysis, Rock properties, Acoustic wave velocity, Compressive strength, Rocks, Seismic waves, Velocity, Water absorption, Wave propagation, Correlation coefficient, Geotechnical properties, Mineralogical compositions, Slake durability indices, Uniaxial compressive strength, Materials properties

الوصف: P-wave velocity test, a non-destructive and easy method to apply in both field and laboratory conditions, has increasingly been conducted to determine the geotechnical properties of rock materials. The aim of this study is to predict the rock properties including the uniaxial compressive strength, Schmidt hardness, modulus of elasticity, water absorption and effective porosity, slake durability index, saturated and dry density of rock using P-wave velocity (Vp). For this purpose geotechnical properties of nine different rock types were determined in the laboratory and their mineralogical composition examined using thin section analysis. Utilizing the generated data, sets of empirical equations were developed between Vp and relevant quantified rock parameters. The validity of the obtained empirical equations was confirmed using statistical analysis. It is evident that rock texture and mineralogical compositions affect the geotechnical properties of rock materials. Therefore, the best relationship obtained between both E and UCS with Vp in the correlation coefficient of 0·92 and 0·95 in that order. It is concluded that Vp could be practically used for estimating the measured rock properties except dry and saturated density of rocks (r = 0·58 and 0·46 respectively). © Indian Academy of Sciences.

العلاقة: Bulletin of Materials Science; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/6116Test; https://doi.org/10.1007/s12034-011-0220-3Test; 34; 947; 953; 2-s2.0-80051886921; WOS:000298562200053

الإتاحة: https://doi.org/10.1007/s12034-011-0220-3Test
https://hdl.handle.net/11499/6116Test

المؤلفون: Kayabali, K., Beyaz, Turgay

مصطلحات موضوعية: Downhole seismic, Attenuation relationship, Shear wave velocity, Site amplification, Strong ground motion, Downholes, Amplification, Earthquake effects, Regression analysis, Wave propagation, Soils, numerical model, peak acceleration, S-wave, seismic attenuation, site effect, soil dynamics, soil test, strong motion, wave velocity, Turkey

الوصف: For Anatolian earthquakes, there are insufficient strong motion data from rock sites to model an attenuation relationship for Turkey. This necessitates the use of records from soil sites, which are significantly affected by amplification. In order to include soil site data in the attenuation analyses, boreholes were drilled at 64 recording stations on soil sites. After removing the effects of soil amplification, rock site and soil site data were combined to establish an attenuation relationship. Various models were tested through regression analyses using moment magnitude, epicentral distance and threshold peak horizontal ground acceleration. A new attenuation relationship is modeled for Turkey. © 2010 Springer-Verlag.

العلاقة: Bulletin of Engineering Geology and the Environment; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://doi.org/10.1007/s10064-010-0335-6Test; https://hdl.handle.net/11499/5940Test; 70; 467; 481; 2-s2.0-79960840434; WOS:000293184800012

الإتاحة: https://doi.org/10.1007/s10064-010-0335-6Test
https://hdl.handle.net/11499/5940Test

المؤلفون: Yağız, Saffet

مصطلحات موضوعية: Good data, Rock properties, Dry unit weight, compressive strength, durability, elastic modulus, Carbonates, Slake durability, Uniaxial compressive strength, Carbonate rock, Correlation coefficient, Effective porosity, First cycle, P-wave velocity, Schmidt hardness, Unit weight, Hardness, Rocks, Water absorption, Wave propagation, absorption, porosity, rock mechanics, rock property, uniaxial strength, Turkey

الوصف: The paper reports a study to assess the relationship between slake durability indices and uniaxial compressive strength, Schmidt hardness, P-wave velocity, modulus of elasticity, effective porosity, water absorption and dry and saturated unit weight for seven types of carbonate rocks obtained from south west Turkey. It was found that the dry unit weight, saturated unit weight and Schmidt hardness gave the best relationship with first cycle slake durability (r = 0.99) while uniaxial compressive strength has a strong relationship with fourth cycle slake durability (r = 0.94). The results showed little difference in the correlation coefficients obtained after the fourth cycle. It is concluded that, for the rocks studied, the first and fourth cycles provide sufficiently good data on the durability for preliminary engineering/design works and that the second to fourth cycle results could be estimated using the first cycle slake durability index (r = 0.99-0.97). © 2010 Springer-Verlag.

العلاقة: Bulletin of Engineering Geology and the Environment; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/5931Test; https://doi.org/10.1007/s10064-010-0317-8Test; 70; 377; 383; 2-s2.0-79960848488; WOS:000293184800002

الإتاحة: https://doi.org/10.1007/s10064-010-0317-8Test
https://hdl.handle.net/11499/5931Test

المؤلفون: Sarı, Murat., Demir, I.

مصطلحات موضوعية: Synthetic seismogram, Layered media, Time domain BEM, Wave modelling, Field variables, Geophysical structure, Scalar wave propagation, Temporal variation, Time-domain BEM, Seismology, Structural geology, Boundary element method

الوصف: The present study analyzes the 2D scalar wave propagation problems in a time domain BEM through large and complex geophysical structures. To achieve this, a time domain BEM formulation is extended to multi-layered geophysical structures. Using appropriate temporal variations for the field variables the time-related kernels are obtained explicitly. The BEM solutions presented for layered media are generated using synthetic seismograms and are seen to be stable. The seismograms obtained in terms of the BEM and FDM are compared. © 2006 Asian Network for Scientific Information.

العلاقة: Journal of Applied Sciences; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11499/4551Test; https://doi.org/10.3923/jas.2006.1703.1711Test; 1703; 1711; 2-s2.0-33749593180

الإتاحة: https://doi.org/10.3923/jas.2006.1703.1711Test
https://hdl.handle.net/11499/4551Test