Design of a Maglev Inertial Actuator with High Mass Power Ratio for Lateral Vibration Control of Propulsion Shafting

The maglev inertial actuators with high power and mass maybe effective for lateral vibration control of a propulsion shafting. But the mass power ratio of the actuators currently in use is too small to meet the requirements. In the paper, a maglev inertial actuator was innovatively designed with high mass power ratio. The structure of the magnetic circuit assembly and the suspending assembly were designed and optimized. To verify the property of the proposed maglev inertial actuator, a prototype with mass less than 8 kg was developed and tests were carried out. The minimum effective output force can reach 200 N within the frequency band of 20–300 Hz. A lateral vibration of a propulsion shafting system was constructed and the active control effect was tested. The experimental results show that the proposed maglev inertial actuator has a good effect on lateral vibration control of shafting.

IoT high-frequency electronic transformer with dimmable output voltage using PWM signals

This work presents the design, simulation, and implementation of a low-power electronic transformer, which output effective voltage can be controlled wirelessly through WIFI, via a user interface on a mobile phone. The methodology used in this project consists of 4 stages, a rectifier, an inverter, the inverter’s control system, and a ferrite reducer. The inverter has a full-bridge design and was implemented using MOSFET. The control system can vary the frequency and duty cycle of the output signals, by phase shifting the control signals, thus achieving the functionality of reducing the effective output voltage. Circuit design simulations were performed using PsPice Orcad. The implementation and the mathematical model of the built electronic transformer are carried out. The designed transformer operates with a maximum input voltage of 120 Vrms at 60 Hz at frequencies between 20 kHz and 30 kHz, which are controlled through the user interface; can reduce a 120 Vrms 60 Hz input signal to an effective voltage between 10 Vrms and 20 Vrms at a maximum power of 50 W. This project presents the feasibility of developing electronic transformers with variable output voltage, remotely controlled using IoT technology.

A Piezoelectric and Electromagnetic Hybrid Galloping Energy Harvester with the Magnet Embedded in the Bluff Body

To meet the needs of low-power microelectronic devices for on-site self-supply energy, a galloping piezoelectric–electromagnetic energy harvester (GPEEH) is proposed. It consists of a galloping piezoelectric energy harvester (GPEH) and an electromagnetic energy harvester (EEH), which is installed inside the bluff body of the GPEH. The vibration at the end of the GPEH cantilever drives the magnet to vibrate, so that electromagnetic energy can be captured by cutting off the induced magnetic field lines. The coupling structure is a two-degree-of-freedom motion, which improves the output power of the energy harvester. Based on Hamilton’s variational principle and quasi-static hypothesis, the piezoelectric–electromagnetic vibrated coupling equation is established, and the output characteristics of GPEEH are obtained by the method of numerical simulation. Using the method of numerical simulation, studies a series of parameters on the output performance. when the wind speed is 9 m/s, the effective output power of the GPEEH is compared with the classical galloping piezoelectric energy harvester (CGPEH) who is no magnet. It is found that the output power of GPEEH 121% higher than the output power of CGPEH. Finally, set up an experimental platform, and test and verify. The experimental analysis results show that the simulated output parameter curves are basically consistent with the experimental drawing curves. In addition, when the wind speed is 9 m/s, under the same parameters, the effective output power of the GPEEH is 112.5% higher than that of the CGPEH. The correctness of the model is verified.

RECENT TIE UP OF SBI WITH ITS ASSOCIATES: A PROBE OF PRE AND POST-MERGER ATTAINMENT THROUGH THE LENS OF CAMELS FRAMEWORK

The term ‘merger’ signifies the joining of two or more business concerns into a single one mainly with the purpose of generating much more effective output. But, sometimes these tie up events are done to absorb the weak entity with intention to cover up these sick entity’s loopholes. Merger in banking sector is now a latest trend to take over weak banks and enhance its business capability with capturing a huge portion of competitive market. In simple terms, banks are unified to enjoy the synergy benefits of the merger. State Bank of India which is currently the most popular one public sector bank of India also witnessed such kind of consolidation events primarily with its subsidiaries banks. The almost latest tie up deal of SBI with its five subsidiaries banks & Bharatiya Mahila Bank occurred on 1st April 2017 is the center point of this study around which analysis is rotating with the intention to examine the impact of consolidation on this largest bank’s performance through the lens of CAMELS framework. This article is purely based on secondary data and all the required facts & figures are congregated from ‘CAPITALINE- 2000 Database’. Three years pre tie up phase (i.e., from 2014-15 to 2016-17) & three years post tie up phase (i.e., from 2017-18 to 2019-20) of State Bank India are explored in this study. The findings of the study confirms that State Bank of India has failed to enjoy the benefits of merger as it take over its own associate banks which are already have high non- performing assets. Ratios related to capital adequacy do not point any remarkable improvements in post-merger phase. Similarly, bank has failed to improve its assets quality. Except Business per Employee all the management efficiency ratios have not gained enough mileage. Overall earnings capacity and liquidity of the bank has also deteriorated after merger. As a whole it can be opined that merger has not made any significant difference in financial performance of SBI, at least in short run. KEYWORDS: Merger & Acquisition, CAMELS, Assets Quality, Sensitivity, Banking Sector

Staff provision of organization as an index of its energy performance

This article discusses the effective output of an organization, based on it’s effective use of qualified staff. The effective management of staff and an organization is imperative for any company in the current climate. The goal is to determine the staff resources required for a specific organization and for specific tasks within that organization. These determinations are made by assessing the complexity of tasks required to be completed and the qualifications of the bank staff who complete these tasks. The complexity of each task is assessed by determining the output of work by staff members who perform these tasks and gathering analytical and statistical data. The data on the complexity of work compared to the output/performance of staff within the organization was presented by researchers and found that only 1/3 of staff are performing and executing their duties to the standard required by the organization within the timeframe for the task. Workers who were not meeting their targets were working harder to achieve their goal, and the effort or time taken to achieve this, meaning the coefficient of the whole company rose from 10-50 %. In some categories of staff, a rise of 10-15 % of standard output is considered acceptable, whereas for other groups of staff, a rise of this amount indicates extra staff are required.

Design and Enhancement of License Plate Images Based on Kernel Estimation using Adaptive Filter

The speed of vehicles is uncovered because of hit and run accidents are occurred. Generally, the fast moving vehicle image is captured by the surveillance camera. The images that are observed by this camera consist of low resolution and the image will be in the blur format. Because of this the information will be loss. In this paper, to overcome this issue with the design and enhancement of license plate images based on kernel estimation using adaptive filter. Here the information patches are selected from the given images. From these images the edge prediction is performed. It means here it will determine the angle and length of the observations. After this kernel estimation operation is performed. Hence the proposed system can evaluate the images of real world and handle the motion of images when the license plate is unrecognizable. At last the proposed system gives effective output compared to other systems.

Learning Innovation Management on Effective Classes at SMPIT Cordova Samarinda

The research is intended to find out (1) the concept of learning innovation, (2) the implementation of learning innovation management functions, (3) the implication of learning innovation management, and (4) obstacles and solutions of the implementation of learning innovation management at effective classes at Integrated Islamic Secondary School (SMPIT) Cordova Samarinda. This research used a qualitative approach with case study and the data was collected through deep interview, observation and documentation. The informans of the research are the head and his vice of the foundation, coordinator of the effective classes, teachers and students. The data was analysed by using descriptive technique. For the research findings, it was found that (1) the concept of learning innovation for effective classes is built through middle input with an effective learning process and produces an effective output; (2) the implementation of learning innovation management functions of effective classes was carried out through planning design by determining input sellection standard, an effective process standard, an effective output standard, learning innovation organization through enriched curriculum, time allocation, teachers’ roles and duties, learning sources, learning innovation through moving class, a standardized teachers, IT-based management, full day school program, and three evaluations of learning innovation, namely test and non-test with mastery learning standard, and high competition class assessment; (3) the implication of learning innovation management covers integrated learning management system, better teacher qualification standard, and increase school reputation; and (4) obstacles and solution disrupt the implementation of learning innovation management of effective classes at SMPIT Cordova Samarinda.

Design and Analysis of Boost DC-DC Converter with PI Controller

This paper covenants owing to the working of PI Controller fed Boost converter. As PI controller removes the delay and offers quick control, it is preferred in this paper. Out of many controllers which provide effective output, PI is chosen which eliminates the necessity for constant operator attention and instinctive control to the system. In the PI Controller, the gains Kp and Ki are calculated by Ziegler and Nichols method. This PI Controller is used as the effective controller for the Boost Converter. In this converter the output voltage is stepped up (increased) for the given input voltage. The PWM Signal generator is used for commutation purpose in the proposed circuit. The Boost converter maintains a constant voltage at the output