predicting human blood pressure (B.P) is an important aspect of primary emotion using Facebook has not yet been investigated. Primary emotions help a person to express her/his feelings, thoughts and understanding the importance of social connections using Facebook. Facebook contribute rich environment of primary emotion and famous social site having collection of information that concerned with primary emotions. The well-known machine learning approaches have known as novel methods for doing prediction using SNS. Support Vector Machine (SVM) has recently been a strong machine learning and data mining tool. Our article, it is used to predict human BP. The dataset contain primary emotion and blood pressure that are collected using Facebook post that consists of formal text from come forward of hanyang university student. Current human B.P and those belonging up to six previous primary emotions and B.P values with respect to human emotion are given as input variables, while the blood pressure used as output parameter. The outcome shows that SVM can be prosperously applied for prediction of B.P through primary emotion. On the contrary, validations signify that the error statistics of SVM model marginally outperforms.

Emotion signifies the core value when a person comes in contact with multidimensional situation. Primary emotion has a capacity to observe when subject is contact with varying arising situation. Our research aims to present how primary emotion help to predict the human blood pressure (BP). Facebook is a Social Networking Sites (SNS) that provide emotionally rich environments and one of the most popular social sites for extracting information related to primary emotions. To extract the information of human emotion using Facebook, vector model is applied here. To predict the primary emotion using Facebook status, we adopt Artificial Neuron Network (ANN) since Facebook status updated by active users that helps to forecast the upcoming BP. The textual data is classified by vector model and ANN is used to predict human BP. The data set comprises of BP and human emotion gathered from Facebook updated post based on formal text from volunteer students at Hanyang University. The outcome shows that ANN can be prosperously applied for prediction of BP through primary emotion. The prediction result shows that there is 25% variation among the correlation coefficient variation of happy emotion instead of 18% of angry emotion.

Abstract:In human machine systems, a user display should contain sufficient information to encapsulate expressive and normative human operator behavior. Failure in such system that is commanded by supervisor can be difficult to anticipate because of unexpected interactions between the different users and machines. Currently, most interfaces have non-deterministic choices at state of machine. Inspired by the theories of single user of an interface established on discrete event system, we present a formal model of multiple users, multiple machines, a supervisor and a supervisor machine. The syntax and semantics of these models are based on the system specification using timed automata that adheres to desirable specification properties conducive to solving the non-deterministic choices for usability properties of the supervisor and user interface. Further, the succinct interface developed by applying the weak bi-simulation relation, where large classes of potentially equivalent states are refined into a smaller one, enables the supervisor and user to perform specified task correctly. Finally, the proposed approach is applied to a model of a manufacturing system with several users interacting with their machines, a supervisor with several users and a supervisor with a supervisor machine to illustrate the design procedure of human-machine systems. The formal specification is validated by z-eves toolset.

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ResumenEsta investigación se basa en los eventos que afectaron a Moen-Jo-Daro entre los años 2000 y 2012, pues por el deterioro en la pared de Moen-Jo-Daro tuvieron que reemplazarse ladrillos dañados por nuevos. Varios fueron los factores que produjeron el deterioro de los ladrillos que, junto al continuo empuje producido por el comportamiento estructural, dieron como resultado una progresiva inestabilidad en la pared lateral asi como la formación de grietas de menor y mayor envergadura. Hay varias paredes que se enfrentan a problemas similares, por lo tanto, un modelo cúbico de arcilla a escala 1/4 fue construido e investigado en condiciones de servicio. Usando elementos finitos FE, se generaron modelos para simular la respuesta de la estructura, el comportamiento y la seguridad del prototipo. Palabras Clave: MOEN-JO-DARO, ELEMENTOS FINITOS, SAL. AbstractThis investigation is based on the event that occur in 2000 and 2012 at Moen-Jo-Daro the extensive decay of Moen-Jo-Daro wall that replacement of bricks with new over damaged bricks. Damaged bricks due to the formation of various generated forces, continutiy of thrust resulted in the progressive instability of the lateral wall and formation of minor and major cracks. There are several walls which are facing similar problem, hence, a cubical clay model in 1/4-scale was built and investegated under service conditions. Finite-element FE, Models were generated to simulate the response of the structure, behaviour and safety of the prototype.