A Multi-Objective Optimization Approach for Multi-Head Beam-Type Placement Machines

This paper addresses a highly challenging scheduling problem in the field of printed circuit board (PCB) assembly systems using Surface Mounting Devices (SMD). After describing some challenging optimization sub-problems relating to the heads of multi-head surface mounting placement machines, we formulate an integrated multi-objective mathematical model considering of two main sub-problems simultaneously. The proposed model is a mixed integer nonlinear programming one which is very complex to be solved optimally. Therefore, it is first converted into a linearized model and then solved using an efficient multi-objective approach, i.e., the augmented epsilon constraint method. An illustrative example is also provided to show the usefulness and applicability of the proposed model and solution method.PCB assembly. Multi-head beam-type placement machine. Multi-objective mathematical programming. Augmented epsilon-constraint method

A multi-objective optimization approach to optimal sensor placement of irregular LSF structures

n/

Communicating health: media framing of ebola outbreak in Nigerian newspapers

Mass media cannot cure virus but can cure its spread. Framing of news stories in the Nigerian media (newspapers) is much more influenced by the economic motive of the journalists; picking news angle that arouses readers’ interests in order to sell more copies in the keen competitive media market. The 2014 Ebola outbreak is a litmus test of how Nigerian media framed health issues, which depict the news perspective most interest to them. Through content analysis of two daily newspapers reports of Ebola during the outbreak in Nigeria, this study established the framing patterns employed while reporting as well as the preponderant frames used. The outcome is used to justify the priority upheld between the competing newspapers interests to sell and the media social responsibility towards containing the outbreak. The much capitalisation on treatment/containment frame portrayed the newspapers purposive interest to free the society of the outbreak, a reflection of its social responsibility role. The priority, which pose no threat on the professionalism of journalism was not only much appraised but also recommended for all media involvement in crisis reports

Facebook satisfaction, life satisfaction: Malaysian undergraduate experience

The central aim of this study was to investigate an approach whereby students’ online social networking produces positive psychological outcomes. Basically, Facebook is a social site that is open to all and closely integrated into the daily experience of most undergraduate students in Malaysia. This study conducted to analyse the association between the number of Facebook friends and the amount of time spent on Facebook with life satisfaction. The purpose of the current study was to investigate what gratifications Malaysian students obtain from Facebook uses. The present study also probed to find out whether gratification obtaining from Facebook uses predicts life satisfaction. In doing so, the theory of the uses and gratification and the theory of the life satisfaction were adopted as theoretical frame work. Our findings of 798 participants, conducting a factor analysis, explored respectively the following gratifications behind Facebook uses: entertainment, communication, social investigation social attention, shared identity and information seeking. Furthermore, using the regression equation, this study failed to find direct association between number of Facebook friends and amount of time using with life satisfaction. The number of Facebook friends while controlling by Facebook motivations could predict life satisfaction. So, it is propounded the view that general uses of social networking sites don’t meet the psychological effects, but the type of certain interaction is the matter. Finally, the findings of this study detected shared identity and social attention as two obtaining gratification that predicted students’ life satisfaction

The Trend in Women Magazine in the 1980’s in Malaysia

1980’s is the decade of development for women Malay magazine. Since the first modern Malay women magazine, Wanita, published in 1969, not less than ten other women magazines published to cater Malay readership in Malaysia. The orientation in content of these magazines has change rapidly, from as to serve the light reading materials to house-hold women to serve as the guide to the career of its readers. As such, the increasing number of these types of magazines has itself a manifestation of the development of Malay women in their daily life. While 1970’s is the decade of early modern development for women in gaining education, 1980’s is still a period of transition whereby women started to fill all strategic posts in job market traditionally related to men. It is only in 1990’s where their presence is felt in almost all areas of the careers. This development is represented in the women magazines published throughout the decades. This article will focus on the development of women Malay magazines in the decade of 1980’s, especially the trend and the history of several dominant magazines. Keywords: women magazines; Malay magazines; editorial, printed media in Malaysia

University Students’ Perceived Self-control and Prosocial Norms for Beneficial Social Media Use

Although many studies have been conducted on social media abuse, socio-psychological determinants of positive social media usage are still underresearched, specifically concerning self-control and prosocial norms for university students. These two important antecedents of accountable behavior have not been thoroughly studied in developing countries. Therefore, the current study investigated university students’ perceptions of self-control and prosocial norms and determined whether they co-exist and are associated with intended behavior and desired beneficial usage. This study modified measurement items adopted from previous studies to fit the current context. A social media survey was conducted through Facebook Messenger among students from a public university in Bangladesh. 226 voluntary responses were recorded based on purposive sampling. The data were analyzed using SPSS and  SmartPLS 4. Descriptive statistics were analyzed. Hypotheses were tested using the structural equation modeling technique, whereas the differential effects of gender and social media platforms were tested using ANOVA. The findings demonstrate that university students value self-control and prosocial norms as crucial determinants of positive social media behavior. These factors strongly correlate with intended self-control and prosocial behavior, and desired beneficial use. Additionally, gender and the type of social media platform used have no significant impact on these results. This study explored valuable insights into the role of self-control and prosocial norms in promoting beneficial social media use among university students, which may have significant implications for their personal and social well-being

Evaluating the effectiveness of time-domain features for motor imagery movements using SVM

Motor imagery electroencephalogram signals are the only bio-signals that enable locked-in patients, who have lost control over every motor output, to communicate with and control their surroundings. Brain Machine Interface is collaboration between a human and machines, which translates brain waves to desired, understandable commands for a machine. Classification of motor imagery tasks for BMIs is the crucial part. Classification accuracy not only depends on how accurate and robust the classifier is; it is also about data. For well separated data, classifiers such as kernel SVM can handle classification and deliver acceptable results. If a feature provides large interclass difference for different classes, immunity to random noise and chaotic behavior of EEG signal is rationally conformed, which means the applied feature is suitable for classifying EEG signals. In this work, in order to have less computational complexity, time-domain algorithms are employed to motor imagery signals. Extracted features are: Mean Absolute Value, Maximum peak value, Simple Square Integral, Willison Amplitude, and Waveform Length. Support Vector Machine with polynomial kernel is applied for classification of four different classes of data. The obtained results show that these features have acceptable, distinct values for different these four motor imagery tasks. Maximum classification accuracy belongs to contribution of Willison amplitude as feature and SVM as classifier, with 95.1 percentages accuracy. Where, the lowest is the contribution of Waveform Length and SVM with 31.67 percentages classification accuracy

Evaluation of time-domain features for motor imagery movements using FCM and SVM

Brain–Machine Interface is a direct communication pathway between brain and an external electronic device. BMIs aim to translate brain activities into control commands. To design a system that translates brain waves and its activities to desired commands, motor imagery tasks classification is the core part. Classification accuracy not only depends on how capable the classifier is but also it is about the input data. Feature extraction is to highlight the properties of signal that make it distinct from the signal of the other mental tasks. Performance of BMIs directly depends on the effectiveness of the feature extraction and classification algorithms. If a feature provides large interclass difference for different classes, the applied classifier exhibits a better performance. In order to attain less computational complexity, five timedomain procedure, namely: Mean Absolute Value, Maximum peak value, Simple Square Integral, Willison Amplitude, and Waveform Length are used for feature extraction of EEG signals. Two classifiers are applied to assess the performance of each feature-subject. SVM with polynomial kernel is one of the applied nonlinear classifier and supervised FCM is the other one. The performance of each feature for input data are evaluated with both classifiers and classification accuracy is the considered common comparison parameter

Numerical Simulation of a Vectored Axisymmetric Nozzle

A CFD based approach to the fully three-dimensional simulation of vectored nozzle is presented. The underlying tech- nology used is based on an active flow control technique known as Fluidic Thrust-Vectoring. The flow governing equations are solved by using a finite volume discretization of the compressible Unsteady RANS equations. The numerical results obtained are compared with the experimental data found in the open literature