UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

Humor is a unique and creative communicative behavior displayed during social interactions. It is produced in a multimodal manner, through the usage of words (text), gestures (vision) and prosodic cues (acoustic). Understanding humor from these three modalities falls within boundaries of multimodal language; a recent research trend in natural language processing that models natural language as it happens in face-to-face communication. Although humor detection is an established research area in NLP, in a multimodal context it is an understudied area. This paper presents a diverse multimodal dataset, called UR-FUNNY, to open the door to understanding multimodal language used in expressing humor. The dataset and accompanying studies, present a framework in multimodal humor detection for the natural language processing community. UR-FUNNY is publicly available for research

Barzilai-Borwein gradient method for solving fuzzy nonlinear

In this paper, we employ a two-step gradient method for solving fuzzy nonlinear equations. This method is Jacobian free and only requires a line search for . The fuzzy coefficients are presented in parametric form. Numerical experiments on well-known benchmark problems have been presented to illustrate the efficiency of the proposed method

A review of analysis the system of thermal power plant economics

Power plants are part of the infrastructure of modern society, and it is needed that these power plant facilities be constructed effectively to achieve a sophisticated level of reliability. The major economic factor in power system planning, operation, and control are with the expenses of generating real power. The analysis of general power plant economic determined the possibility to fulfil the need and optimized the power generation thus lowering the cost operation for the thermal power plant system. Several factors are essential to be considered to build a thermal power plant based on the factor discussed in this study. This study also includes maximizing and eliminating the thermal power plant losses and implements good power plant economic

Numerical simulation of aerofoil with flow injection at the upper surface

Separation of the boundary layer over an airfoil causes a significant increase in the adverse pressure gradients and the losses of energy resulting in the reduction of the lift force and the increment of drag force. Therefore, delaying and eliminating flow separation is necessary to improve its aerodynamic characteristics. In this study, an injection of flow was introduced at the upper surface/suction side of the aerofoil to control the boundary layer separation effectively. Flow around the NACA0012 airfoil was examined, with the position of flow injection jet at 90° relative to the tangential surface of the airfoil at 20%, 50% and 80% of its chord length. The flow injection velocity was varied from 0%, 10%, 30% and 50% of the free stream velocity, which corresponds to 0, 2.5 x 10-4, 2.25 x 10-3 and 6.25 x 10-3 of the momentum coefficient. The results showed that the most suitable condition was at 10% of the blowing amplitude (2.5 x 10-4 of the momentum coefficient) of flow injection at the trailing edge, which was around 80% of the chord length at the upper surface/suction side. This configuration can successfully increase the lift force and decrease the drag force of the aerofoil at the angle equal to or larger than a stall angle of 16° compared to the baseline aerofoil

Simulation study on the performance of a counter-rotating savonius vertical axis wind turbine

Wind power is an energy source that is becoming an alternative to burning fossil fuels that may harm the environment during operations due to the emission of harmful gases. In this study, simulation and performance investigations of a counter-rotating vertical axis wind turbine (VAWT) based on the Savonius S-type rotor have been analysed through a computational simulation approach. The foremost motive of this study is to widen the operating wind speed range of the counter-rotating concept in a VAWT while enhancing the conversion efficiency of a single-rotor VAWT system. The 3D simulations were performed based on the K-omega shear stress transport (SST) turbulence model. The results have shown that the counter-rotating model possesses better performance characteristics in terms of torque, power and their corresponding coefficients compared to a single-rotor design of a wind turbine. A maximum output of more than two times was obtained from the new CRWT system compared to that of a single-rotor wind turbine (SRWT). Moreover, the output of the top rotor was higher than the bottom rotor due to the increased higher rotational speed of the top rotor

Oxidizability assay of unfractionated plasma of patients’ with different plasma profile: a methodological study

BACKGROUND: Present study describe the in vitro model of plasma oxidation of patients with different lipid profile, that can be correlated to their invivo plasma oxidizability in order to find the arterial diseases prone patient groups. METHOD: The method applied here to measure the invitro plasma oxidizability, accounts a convenient way that can be well suited in any clinical laboratory settings. Un-fractionated plasma was exposed to CuSO4 (5.0 mmol/L), a pro-oxidant, and low frequency ultrasonic wave to induce oxidation, and finally oxidizability was calculated by TBARS and Conjugated Diene methods. RESULT: In our study, plasma LDL greater than 150 mg/dL possess 1.75 times more risk to undergo oxidation (CI, 0.7774 to 3.94; p = 0.071) than the low LDL plasma, percent of oxidation increased from 38.3% to 67.1% for the LDL level upto 150 mg/dL and high. Lag phase, which is considered as the plasma antioxidative protection, was also influenced by the higher LDL concentration. The mean lag time was 65.27 ± 20.02 (p = 0.02 compared to healthy), where as for 94.71 ± 35.11 min for the normolipidemic subject. The plasma oxidizability was also changed drastically for total cholesterol level, oxidative susceptibility shown 35% and 55.02% for 200 mg/dL and high respectively, however it didn’t appear as risk factor. Patient samples were also stratified according to their age, gender, and blood glucose level. Older persons (≥40 years) were 1.096 times (95% CL, 0.5607 to 2.141, p = 0.396) than younger (≤39 years age), males are 1.071 (95% CI, 0.5072- 2.264) times than the females, and diabetic patients are 1.091 (CI, 0.6153 to 1.934, p = 0.391) times in more risk than the non-diabetic counterpart. CONCLUSION: This method addressing its easy applicability in biomedical research. And by this we were able to show that patients with high LDL (≥150 mg/dL) are in alarming condition besides diabetic and elderly (≥40 years age) males are considered to be susceptible and more prone to develop vascular diseases

Measuring Agricultural Crop Production Efficiency due to Climates and Hydrology in Bangladesh: An Application of Stochastic Frontier Model

The main objective of this study is to develop a Cobb-Douglas Stochastic Frontier Production model to measure the different types of agricultural crop production’s efficiency in Bangladesh due to climates and hydrology. Climatic and hydrological information is divided into two season named as dry season which covers the months October, November, December, January and February, and summer season which covers the months March, April, May, June, July, August  and September considering the climatic condition of Bangladesh. From the study, it is obtained that mean efficiency of the rice and cereal production are 0.9203 and 0.97385 respectively. There is a little opportunity to increase production to achieve maximum production by increasing technology. At the same time jute, potato, cereal and species get the maximum frontier production with mean efficiency approximately equal to one and it also implies there is no need any technological advancement and inefficiency occurs due to stochastic noise. Keywords: Agricultural production, Climates, Hydrology, Efficiency, Stochastic Frontier Mode

Temperature and Rainfall Effects on Spice Crops Production and Forecasting the Production in Bangladesh: An Application of Box-Jenkins ARIMAX Model

The objective of this study is to develop the best Box-Jenkins Auto-Regressive Integrated Moving Average with External Regressor, that is, ARIMAX model for measuring the temperature and rainfall effects on major spice crops productions in the Bangladesh and forecasting the production using the same model. Due to time sequence dataset, ARIMAX model is considered as a measuring tool of cause-effect relation among the spice crops and climatic variables (temperature and rainfall) under study. From the study, it is found that ARIMAX(2,1,2), ARIMAX(2,0,1) and ARIMAX(2,1,1) are the best model for Chili, Garlic and Ginger crop respectively. From the comparison between original series and forecasted series, it shows that these fitted model are well representative of the practical situations and both series shows the same manner indicating good forecasting. Keywords: Temperature, Rainfall, Species Production, Forecasting, ARIMAX Model