The CINEMO corpus used in this paper consists of 1012 instances after segmentation of emotional French speech amounting to a total net playtime of 2:13:59 hours. 50 speakers (15 to 60 years) dubbed 27 scenes of 12 movies. For some scenes, the two roles have been played by differ- ent persons, making a total of 31 different linguistic scripts. Each linguistic script contains one to twelve speaker turns. Each scene was repeated around 1.67 times in average. This corpus is described in details in ((Rollet et al., 2009) (Schuller et al., 2010)). A subset of the more consensual segments was chosen for training models for detection of 4 classes (POS, SAD, ANG and NEU). The rich annota- tion of CINEMO was used to build these 4 macro-classes; for example the class NEU contains segments annotated as neutral plus low-level intensity and activation for positive, sadness and stress emotions. We have not considered mix- tures of emotions for training our models in that experi- ment. Table 1 is a description of the CINEMO sub-corpus:
It is decided to test the point absorber with different resistor values in two sea states. Due to the poor performance in shorter waves, which came obvious in paragraph 3.2, it is decided to choose sea states with larger peak periods. Each sea state will be repeated five times, each time with a different resistor value. To provide a good statistical analysis, the sea state should be comprised of at least 1000 waves. To calculate the total duration of the sea state, the zero crossing period, T z , is multiplied by 1000. Zero crossing period is defined as the mean period of all the waves in the wave record. The relationship between the peak wave period and zero crossing period is the following :
Dr. Kakuro Amasaka is a Professor in the College of Science and Engineering at Aoyama Gakuin University, Japan. He received his Ph.D. degree in Precision Mechanical and System Engineering, Statistics and Quality Control at Hiroshima University in 1997. Since joining Toyota Motor Corporation in 1968, He worked as a quality control consultant for many divisions, and the General Manager of the TQM Promotion Division (1998-2000). His specialty is New JIT, Science TQM, Science SQC, Numerical Simulation (CAE) and Customer Science. Now, He has been serving as the vice chairman of JSPM (2003-2007) and JOMSA (2008-), the director of JSQC (2001-2003).
In this respect, the subject of smart building is presented. A smart building is one that uses digital technology to self sufficiently oversee and adjust the building environment to enhance work efficiency, user comfort, safety and energy consumption (Yang and Wang, 2013). The expression "smart" was initially used to portray buildings in the United States toward the start of the 1980s. The idea of 'smart building' was stimulated by the advancement of data innovation. Research on perceptive building has been led pervasively and exploration results have been distributed in numerous academic journals (Benjamin et al., 2011). These days, all administrations give careful consideration to energy-saving issues. So the requirement for energy benefit has expanded. En administration is an essential action for energy benefit (ASHRAE, 2009). Energy administration is measured as a huge variable to the energy saving of an operative unit of manufacture. The essential idea of energy supervision is the nonstop, methodical and decently sorted out review of energy utilization, going for energy cost advancement regarding energy requests, client attributes, financing ability, financing capacity and emanation diminishments accomplished
One of directions of decision of the problem on creation of controlsystem of FMS is introduction of the systems of sensitivity and intellectualization of control in technological equipments and industrial robots of production, able to take into account obtained information about an environment, both in the process of planning and in the process of execution. The system of sensitivity perceives by means of present in its composition sensors of state information about status of external area, processes them. As a result signals of influences which acting on one of entrances of controlsystem are produced, that in turn produces correspon
errors, such as u ( t 1 ) y ( t 3 ) , u ( t 1 ) e ( t 2 ) , y 2 ( t 1 ) , and nj , dj are the associated parameters. The task of model structure detection is to select candidate regression terms from a pre-assigned large candidate base. The task of parameter estimation, for a given or detected model structure, is to estimate the associated parameters from the measured inputs and outputs. Model validation is the final step to diagnose the feasibility of an identified model if it is a real representative of the underlying system. The correlation based model validation uses data sequences of input, output, and residual (difference between measured system output and model predicted output) to form a series of correlation functions to determine if the residual has been reduced to an uncorrelated sequence with zero mean and finite variance. Several remarks relating to the characteristics of the rational model of (2.1) are noted below:
systems which are separate but sends and receives information to and from each other. Information shared consists of calculated force and position readings from sensors which feed into the controlsystem. When the actuation systems are in the form of robot manipulators, there are at least two degrees of freedom with each degree of freedom has its own force and position values. When these two systems operate simultaneously, a change in force and position for one system triggers the other to coordinate and attempt to maintain the same values of force and position at both sides and this is termed as a master-slave system. In most cases, both systems are identical and the amount of force and position desired is similar. In some real-life applications, the desired amount of force/position is scaled; i.e. smaller or larger force is desired at one end of the system (master/slave). For this purpose, this research proposes a method to scale the force at either master or slave side by using elements of the mass/inertia matrix of the robot manipulator. Four different scaling values were demonstrated in the experiments to show the validity of the proposed method. Results indicate that the method is viable as the forces were scaled correctly as desired.
The administrator is always concerned about their employee’s presence in his/her owns divisions as well as the other divisions, with the prior permission. The system automatically generates total time–stamp of the individual staff as well as the particular division. It also generates the time report i.e. when the particular task assigned to the concerned employee and when it is completed, based on this evaluation the administrator decides the further increment/promotion. The system generates the database of number of visitors visited with purpose to the organization and division with time–stamp