Rajasthan Technical University

About: Rajasthan Technical University is a education organization based out in Kota, Rajasthan, India. It is known for research contribution in the topics: Photovoltaic system & PID controller. The organization has 716 authors who have published 1084 publications receiving 4530 citations. The organization is also known as: RTU.

Internet of Things: Illuminating and Study of Protection and Justifying Potential Countermeasures

Abstract: Presently, Internet of things (IoTs) contains environs with explore in innumerable mixed plans are linked by the classes of Internet. That decides the plans in novel capability. Such having a important responsibility in the privacy of informatics. Conservatively, security method would not be directly sensible to IoT knowledge due to the different philosophy and communique alarmed. Here crucial study is complete in divulge the safety and solitude with IoT plans and quarrel diverse contradict events alleviate that supply the potential extent for subsequently investigate with IoT coerce.

A Rectangular SRR Switched Slotted Microstrip Patch for Frequency Diversity Application

Abstract: Planar antenna with a specific resonant mode is essential to meet the diversity demand for wireless communication. This paper presents modeling and experimental validation of a microstrip antenna design in which multiple resonant frequencies are excited based on different negative permeability response of the rectangular split ring resonator (SRR). The antenna geometry consists of a slotted patch with split ring resonator loaded between its two arms. The patch was fabricated on FR-substrate of relative permittivity er = 4.4, and has a size of 30.5 mm × 34 mm. In the antenna desing, PIN diodes connect the outer ring and inner ring resonator of the SRR to the adjacent arms of the patch. Under various bias conditions, quad-band resonance was observed at 2.07 GHz, 2.11 GHz, 2.31 GHz, and 2.46 GHz. The measured S11 results are found comparable to the simulated data, and demonstrate proper functioning of the proposed antenna with stable gain and radiation patterns.

Stiffening Effect on Settlement Reduction for a Single Partially Stiffened Floating Granular Pile

Abstract: With increasing rate of development and limitation of land, it becomes necessary to use those areas where typical weak soil conditions occur. One needs to look upon some economic and feasible options for the provision of foundation, and one of the options available is to use the granular pile (GP). This paper presents analysis of a single partially stiffened floating pile. Partial stiffening means replacement of material in the top region of pile by some material, having good mechanical properties, i.e., higher deformation modulus, e.g., RCC, PCC in comparison with conventional material of granular pile, thus not only providing the solution for bulging at the top but also helping in increasing the load-carrying capacity of the GP. In this paper, the variation in settlement reduction factor is analyzed with relative length, relative stiffness of GP, stiffening parameters and is found to decrease with the increase in stiffening parameters.

Fault compensation of DFIG based integrated power system using UPFC

Abstract: This paper describes an integrated power system using DFIG whose total output power is 9 MW and grid which is used to feed an total load of 2 MW and 1000 MW. In which compensation of three phase fault using UPFC is done. The paper presents the simulation results after UPFC compensation.

Software Effort Estimation Using Machine Learning Techniques

Abstract: The product/software effort/cost-estimation techniques are applied to predict the effort required to finish the project. An incorrect estimation leads to increase in deadline and budget of the project which may further consequence to failure of the project. The estimation models and techniques are used in different phases of software engineering like budgeting, risk analysis, planning, etc. The effort estimation must be done meticulously in SDLC to avoid any slippage to timelines and over budgeting problems. Techniques of effort estimation can be grouped into two categories, i.e. parametric/algorithmic and non-parametric/non-algorithmic models. To overcome the limitations of algorithmic models, non-algorithmic methodologies have been explored which are based on soft-computing methods. Non-algorithmic techniques include Parkinson, expert judgement, machine learning (ML) and price to win. The ML models have been introduced to handle the flaws of parametric estimation models. These models also complement the modern project development and management. Neural networks, fuzzy logic, genetic algorithms, case-based reasoning, etc., are part of the non-algorithmic models. This review paper focuses on software effort estimation techniques based on machine learning techniques, their application domain, method to calculate software cost estimation and analysis on existing ML techniques to explore possible areas of further research.