THD Inspection of a Novel Envelop with a T Type (E-T) Multilevel Inverter with Reduced Switch Count | Chapter 8 | Engineering Research: Perspectives on Recent Advances Vol. 5

Modern-day switching has made inverters into complex circuitry with multiple levels. The overall power ratings of the inverters are improved by individual small powered devices. The unique structure of a multilevel inverter (MLI) synthesizes higher voltage levels with lower harmonics, without using transformers or series-connected synchronized switching devices. Multilevel inverters are a good choice for medium and low power applications. Multilevel inverters have found a wide place in the market for their good power quality output. This paper proposes a new Envelope with T type Novel Multilevel inverter with unequal sources and reduced switch count. The working principle of the circuit is explained. Firing angle calculations are done using a simple looping technique and later Genetic Algorithm is used to obtain optimum firing angles using the Selective Harmonic Elimination technique and improve the THD of the output voltage. Comparison is made between different types of inverters. The proposed E-T Type inverter circuit uses less number of semiconductor switches compared to previous circuits. Hence, it is concluded that the proposed inverter can be used for speed control of drives.

 

Author (s) Details

 

Rashmy Deepak
Department of Electrical and Electronics Engineering, RNS Institute of Technology, Bangalore, India.

 

S Sumathi
RNSIT, Bangalore, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/erpra/v5/4562

Trans-Cerebellar Diameter in Estimating Gestational Age in Second and Third Trimester of Pregnancy-Most Significant Independent Parameter | Chapter 5 | Novel Research Aspects in Medicine and Medical Science Vol. 1

 Aim: To study the function of fetal trans-cerebellar width in estimating the gestational age in second and third trimester of gestation and its equivalence with gestational age, BPD, HC, AC and FLDesign of Study: Prospective companion study.Background: Uncertain gestational age is associated with higher perinatal death rates and an increased occurrence of low beginning weight and impulsive preterm delivery. Errors in gestational age estimation can bring about iatrogenic neonatal morbidity from prematurity. Precise conclusion of gestational age in antenatal period is a advantage to modern obstetrics in context accompanying improved neonatal continuation. The most effective habit to date pregnancy is by ultrasonography. Several parameters maybe considered for guess of gestational age trans-cerebellar diameter is individual such parameter.Objective: To study the act of fetal trans-cerebellar width in estimating the gestational age in second and triennial trimester of pregnancy and its equating with gestational age, BPD, HC, AC and FL. The design concerning this study was to nursing home based potential cohort study conducted at area of obstetrics of Government medical College Nagpur, over a ending of 1 year.Methods: 500 mothers with sure LMP and common menstrual cycles betwixt 7 and 11 weeks of gestation were scheduled. First trimester USG using crown rump distance for confirmation of gestational age was finished. These patients were considered to come for follow up till 40 weeks of ripening and repeat USG was done in second and tertiary trimester. Trans-cerebellar diameter was compared with expected gestational age accompanying CRL, BPD, HC, AC and FL in weeks.Results: 98.56% of variability in gestational age maybe explained by alternative in trans-cerebellar diameter (TCD) only. Addition of different variables did not make some significant distinctness indicating that TCD unique is the strong predictor of gestational age.Conclusions: Normative cerebellar calculations throughout gestation permit estimation of gestational age free of the shape of fetal head and also offer potential for judging abnormal before birth growth and atypical development of central central nervous system.

Author(s) Details:

Prashant Arun Uikey,
Department of Obstetrics and Gynecology, Indira Gandhi Govt. Medical College, Nagpur, Maharashtra, India.

Kshama Vivek Kedar,
Department of Obstetrics and Gynecology, Indira Gandhi Govt. Medical College, Nagpur, Maharashtra, India.

Surekha Narayan Khandale,
Department of Obstetrics and Gynecology, Indira Gandhi Govt. Medical College, Nagpur, Maharashtra, India.

Please see the link here: https://stm.bookpi.org/NRAMMS-V1/article/view/11783

Image Matching Using Pseudo Time Series Representation | Chapter 6 | Current Overview on Science and Technology Research Vol. 5

 A wide range of vision tasks, including semantic segmentation and object recognition, can be significantly improved by boundary and edge information. The semantic edge detection problem is more difficult than classical edge detection, which is a difficult task in and of itself. Many computer vision tasks, including 3d reconstruction [1], 3d form recovery [2], medical image processing [3], and semantic segmentation [4,5], have demonstrated to benefit from the classical edge detection job. Two pre-processing methods for image/object retrieval are suggested in this research. The object is defined as a pseudo-time series in one dimension using a traditional pre-processing method. The first method that is offered modifies the SAX representation by using an Extended SAX (ESAX) approach to quickly and accurately identify key patterns, which is necessary to identify the related items that have the best chance of being true. The general resemblance between two families of symbolic words is then used to characterise the relationship between two images or objects. To determine the most likely matching between strings of symbolic words, a distance measure is employed. We empirically compare the Extended SAX strategy to the original SAX approach and show how it performs better at getting the most likely related objects at larger cardinality. The second method uses a specified collection (subset) of boundary points to identify each object or form. Each point is the centre of a small area that surrounds it and is represented by an image patch that reflects the patch's low-level properties. A family of image/object features corresponding to the image/patches object's is connected to it. The degree of general similarity between two families of image/shape patches is then used to define the similarity between two images or objects. To select the most likely matches, GA is used. The experimental findings have demonstrated that our approach is successful at retrieving related photos.

Author(s) Details:

Hala Ahmed Abdul-Moneim,
Department of Mathematics, Darb University College, Jazan University, Jazan, Saudi Arabia and Department of Mathematics, Faculty of Science, Minia University, Minia, Egypt.

Please see the link here: https://stm.bookpi.org/COSTR-V5/article/view/8336