Temporal Relevance of Parent Qualities and Behaviors for Predicting Young Adults’ Emotion Regulation and Romantic Relationships

The present study sought to compare the utility of adolescents’ parental relationship qualities and behaviors for predicting young adult emotion regulation as well as the mediating role of emotion regulation in the intergenerational transmission of relationship qualities and behaviors. Early adolescence is characterized by the emergence of new emotions, responsibilities, and budding romantic relationships. Parental relationships with positive qualities may provide a safe environment for teens to explore these unfamiliar experiences. In late adolescence, teens depend less on this secure base but benefit from the utilization of specific relationship behaviors, modeled to them by their parents, in increasingly important social and romantic relationships. Thus, relationship qualities and behaviors and emotion regulation likely also impact later romantic relationship functioning. A longitudinal, multi-method, and multi-reporter design was utilized in data collection to assess parent relationship qualities and behaviors in early and late adolescence, emotion regulation in young adulthood, and romantic relationship functioning in adulthood. A series of hierarchical multiple regression analyses revealed some evidence for a differential pattern of predictive utility of parent qualities and behaviors in early versus late adolescence. However, the direction of some relationships between parent relationship qualities and behaviors were unexpected. Evidence was less compelling regarding romantic relationships and the mediating role of emotion regulation. Future research may wish to further examine interparental relationships and peer relationships regarding opportunities for social and emotional learning. Implications for parenting and psychological practice are discussed

Using concept similarity in cross ontology for adaptive e-Learning systems

Abstracte-Learning is one of the most preferred media of learning by the learners. The learners search the web to gather knowledge about a particular topic from the information in the repositories. Retrieval of relevant materials from a domain can be easily implemented if the information is organized and related in some way. Ontologies are a key concept that helps us to relate information for providing the more relevant lessons to the learner. This paper proposes an adaptive e-Learning system, which generates a user specific e-Learning content by comparing the concepts with more than one system using similarity measures. A cross ontology measure is defined, which consists of fuzzy domain ontology as the primary ontology and the domain expert’s ontology as the secondary ontology, for the comparison process. A personalized document is provided to the user with a user profile, which includes the data obtained from the processing of the proposed method under a User score, which is obtained through the user evaluation. The results of the proposed e-Learning system under the designed cross ontology similarity measure show a significant increase in performance and accuracy under different conditions. The assessment of the comparative analysis, showed the difference in performance of our proposed method over other methods. Based on the assessment results it is proved that the proposed approach is effective over other methods

UNMANNED IMAGE NARRATION

Image analysis and understanding is used in various fields such as satellite imaging, robotic technologies, medical imaging, defense[G1]  etc. Image analysis is the process which involves extraction of meaningful information from images.Image annotation is the process of adding metadata to the image. The meaningful information is extracted based on the metadata available with the image. This research aims at understanding the input image and describing it to the user. The input image is segmented. The segments are annotated based on its properties like color, shapes in it. The segment annotations are collected and processed to get the overall meaning of the image. This research would improve image search, inform the user about the image even if the image is not displayed due to compatibility issues, and it is unmanned - no human assistance required to understand and display the image contents. [G2] [G3] Â

Effects of different operating parameters in papaya halwa drying

An experimental study was performed to determine the drying characteristics of dried papaya using different drying methods. They were dried using several methods, such as sun drying, solar drying, oven drying, and microwave drying. The effects of different operating conditions on physical quality attributes were investigated. The papaya were cut into different thicknesses and cooked in sugar syrup with different sugar concentration for 24 hours. Three different temperature settings were used in oven and microwave drying. The drying curve and drying rate of each method, temperature, sample thickness and sugar concentration were studied. The drying times were found as in 6-15 minutes, 5 to 11 h, 10 to 18 h, and 14 to 23 h for the microwave, oven, sun and solar drying, respectively. The drying time increased with the increase of sample thickness and sugar concentration, as well as with the decrease of the drying temperature. In this study, quality attributes like colours and textural property of dried papaya were explored. Among the various methods of the drying characteristics of papaya halwa, oven drying was preferred with the optimum sample in 5 mm thickness and at the air temperature of 70oC as it saved up to 40% of the drying time as compared to other methods, except microwave, and produced acceptable physical quality of product

Anti windup implementation on different PID structures

Although there have been tremendous advances in control theory over the last 25 years, the PID controller remains very popular and is still widely used in industry. A vital aspect of its implementation is the selection of a suitable set of parameters, as an improperly tuned controller might lead to adverse effects on process operation and worse, cause system instability. In industry, there are various types of PID controllers in addition to the 'textbook' PID but most tuning methods were developed based on this ideal algorithm. Another issue that is always associated with PID controllers is integral windup and the most popular method to overcome this problem is to add an anti windup compensator. This article includes the assessment of three anti windup strategies in combination with different tuning methods. The characteristics of PID controllers tuned using these approaches are evaluated by application to simulated FOPTD processes with different time-delay to time-constant ratios. Different measures were used to assess their performance and robustness properties, and the applicability of the tuning relationships to more typical (non-ideal) PID controllers is also considered. In general, the anti windup compensators successfully reduced the degradation effect caused by integral windup. It was found that the effectiveness of the different anti windup schemes varied depending on controller tuning methods and controller structures

Experiencing Company's Popularity and Finding Correlation between Companies in Various Countries Using Facebook's Insight Data

AbstractThe aim of this research was to analyse and experience the various electronics company profiles in various countries using giant social media, Facebook. This analysis was performed with the Insight data of Facebook's page which provide 4 different count values named day, day_28, week and lifetime respectively. To analyze the company's performance in various countries, aggregation was performed to find total users in a country those are engaged with different Facebook pages. All these four counts were used to compare various companies popularity using various measures like Total Country in which people knows about Company, Top-K Country and Least-K country, Count Comparison, Country wise Standard Deviation, Correlation between two companies in a country. Analysis results proved that Samsung was more popular in most of the country compared to all other companies. These findings will definitely help the companies in improving their popularity in social media, which intern will improve their business

Neural network based adaptive PID controller of nonlinear heat exchanger

This research presents the design and simulation of nonlinear adaptive control system on the heating process of shell-and-tube heat exchanger model BDT921. Shell-and-tube heat exchanger is a nonlinear process and change in process dynamics cause instability of the PID controller parameters i.e proportional gain, integral time and derivative time. Thus, the PID controller parameters need to be repeatedly retuned. In this study, neural network approach was introduced to auto-tune the controller parameters. The dynamic data from the BDT921 plant was collected to formulate the mathematical model of the process using MATLAB System Identification Toolbox. NARX model was used to represent the heat exchanger. Neural network was used as adaptive system to the PID controller. The neural network model consists of 4 input variables and 4 output variables. Single hidden layer feed forward neural networks with 20 neurons in hidden layer is the optimum topology of the network. The effectiveness of the controller was evaluated based on the set point tracking only. Simulation result proved that the adaptive PID controller was more effective in tracking the set point with faster settling time and lower or no overshoot respond compared to conventional PID controller

Preventing the press from engendering ethnic violence : press restraints and ethnic violence in Singapore

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Political Science, 2005.Includes bibliographical references (leaves 129-137).This thesis aims to find a solution to a commonly held problem of ethnic violence that is engendered by the press. Based on the premise that governmental influence on the press in the form of press restraints can prevent the recurrence of deadly ethnic violence, it argues for certain types of press restraints in societies that (1) are just emerging from ethnic conflict and (2) lack the societal norms and established institutions that stem from traditions of democracy, is formulated. Taking Singapore as a case study, it shows that race issues were progressively de-politicized from 1956 to 1972 as a consequence of governmental influence. The Singapore case is taken to illustrate the gains to be attained from press restraints, and also to point out some potential caveats that would need to be accounted for in policies regarding press restraints.by Saleena Begum Saleem.S.M