Mobile Wireless sensor network encloses several minute sensors with miniature energy transceiver for collecting information in a diverse atmosphere. Network with restricted battery energy in sensor nodes is difficult task to design a proficient routing method to maximize network duration. In this research work a Mathematical Model for Energy Efficient Secured CH Clustering Protocol for Mobile Wireless Sensor Networks to maximize network duration. It includes cluster-head shifting method with in cluster that avoids frequent clustering and regularly scatters load with nodes. ME2SC methodology is evaluated with LEACH-C, E2R2 and DMSR. Simulation consequences demonstrate proposed approach diminishes energy expenditure and amplifies network duration.

Sexual violence is an emerging issue in secondary school students. The study explores the impact of sexual violence on psychological health of students. The study is importance in the comprehension of psychological problems in the secondary school students because of sexual violence among them. Participants of the study include community members, parents, teachers and secondary school students. The study is qualitative in nature. Data was personally collected by the researcher.

Emotional violence is the most common form and it is defined as deliberate use of inappropriate and harsh words to hurt another person. Students have been found with emotional violence in developing countries. This paper explores the impact of emotional violence in secondary school students on the society. The paper is significant in understanding the circumstances in which students are found to be in involved in bullying and emotional abuse. The paper identifies the opinion of community about the bullying in students. The participants of the study are head teachers, teachers and community members. Semi structure interview was used as a tool of research in the study. This study is qualitative in design. The collected data was used on the basis of grounded theory.

In Pakistan, academic stress among secondary school students has been reported long ago. Academic stress has been found as a major source of violent activities among the students. Huge academic work and sometimes harsh attitude of teachers and lack of co-curricular activities are continuously promoting academic stress in the students. This stress has been concluded in the form of violent activities among the students. This study explores the nature of academic stress among the secondary school students in public sector schools in Punjab province, Pakistan. The study is important in comprehending the causes behind the academic stress among the students. Strategies can be developed regarding the revision of curriculum and co-curricular activities and teacher training programs to overcome the academic stress.

Disturbance rejection performance optimization with constraints on robustness for a multivariable process is commonly encountered in industrial control applications. This paper presents the designing of a multi-loop Proportional integral (PI) controller method to enhance the performance of load disturbance rejection using evolutionary optimization. The proposed design methodology is formulated to minimize the load disturbance rejection response, and the input control energy under the constraints on robustness. Minimum singular value of multiplicative uncertainty is considered as a multi-loop system robustness indicator. Optimization is performed to achieve the same, or higher level of robustness than the most explored direct synthesis (DS) based multi-loop PI controller, which is derived from a conventional criterion. Simulation analysis clearly proves that, the proposed multi-loop PI controller design method gives better disturbance rejection, and either, the same or higher level of robustness when compared to DS based multi-loop PI controller.

In this paper, an enhanced power flow management (PFM) scheme for Photovoltaic (PV), Fuel Cell (FC), Battery and Supercapacitor (SCAP) for Smart Grid (SG) system is proposed. The proposed scheme incorporates PV generator, Maximum Power Point Tracking (MPPT), battery storage, fuel cell and supercapacitor. The integration of both the Binary adaptation of Ant Lion Optimizer (BALO) and Squirrel Search Optimizer (SSO) is the main feature of the proposed control scheme, thereby, the proposed control scheme is referred as BALSO scheme. Here, based on the energy exchange between resource-side and load-side, BALO builds up the control pulses for the inverter. The formulation of multi-objective function is based on the source power required by the grid. Moreover, SSO is typically employed to obtain online control pulses by using different ranges of power. Additionally, we investigated a power management methodology as per the global state of charge (SOC) of the energy storage and load demand. Finally, the execution of BALSO scheme is carried out using MATLAB/Simulink platform, thereby, the execution results of BALSO scheme is compared with the other existing techniques in terms of system under normal state and system under abnormal state.

The aim of this paper is to propose a control method for maximum power point tracking of a photovoltaic system under variable irradiance and temperature conditions. The proposed method is built around two DC/DC converters connected in series. The first is a step-up voltage converter with a fixed duty cycle while the second is a standard buck converter. This control method is simple to implement. It\'s based on observations and measurements made in open loop for different values of irradiance and temperature. The effectiveness of the proposed control is verified through experiments in real time using the dSPACE DS1104.