Parameter extraction for audio signal
Speech is a signal which consisting of various complex information, like the information contain in a signal which to be communicate, language, speaker, region, emotions etc. Speech Processing is one of the important parts of signal processing and finds applications in Audio mining, Human computer interfaces, Assistive technologies, Telecommunication, Security etc. For the speaker identification and emotion analysis Gender Identification is a pre requites. By analyzing the features of different voice signals of male & female it can be determined that which parameters are creating a difference in between the male voice & female voice. For this a comparison between the different parameters present in a voice signal like energy, mean, median and standard deviation is done. It observed that in the graph of mean and standard deviation one can differentiate between a male voice and female as the statistical results are shown. In this paper an input voice signal taken as .wav file and added some noise or unwanted signal; the unwanted noise signals are removed from the original signal by reducing the intensities of high frequencies by averaging and Gaussian window for the smoothing and conv function to removing the pseudo numbers that added as a noise to the original signal
Published by: Neha Sohani Mohanty
Author: Neha Sohani Mohanty
Paper ID: V6I4-1222
Paper Status: published
Published: July 18, 2020
Law of ten generations gap in Heredity
Heredity is the transfer of physical or behaviour characters genetically from one generation to another through genetic material.During the transfer of the genetic material only half of them from both the parents will be transfered to the offspring. The question here is, how many generation genes that was transferred from our forefathers exist in our genetic material,If present how much it will be and what all ways genes from the forefathers can be moved.For finding a suitable answer and explanation to this I put forwarding some new ideas in relate to this
Published by: Ajil Benny
Author: Ajil Benny
Paper ID: V6I4-1232
Paper Status: published
Published: July 17, 2020
Clinico haematological profile in beta Thalassemia trait
Introduction with Objectives: - The most common causes of microcytic hypochromic anemia in India are β Thalassemia & Iron deficiency anemia (IDA). β- Thalassemia is one of the most common single gene disorder in India with an overall prevalence of 3-4 %. Effective screening of β Thalassemia trait (βTT), decrease its incidence. Hb electrophoresis, serum iron profile & RBC indices are used to differentiate βTT from IDA .HbA2, red cell indices are observed as effective screening tests in βTT. Our main objective is to study the hemoglobin electrophoresis & RBC indices in β-Thalassemia Trait & to differentiate from IDA. Methodology: - A retrospective study of 50 patients (OP & IP) admitted in our KMC & hospital, Manipal was done. Study period was 1year (Aug 2015-Sep 2016). HbA2 level is studied by capillary zone electrophoresis method. Hb & red cell indices (MCV, MCH, RDW) were calculated. From red cell indices formulas –Mentzer (MI-cut off-13), Srivastava (SI-3.3), Shine & Lal(S&L-595), England & Frazer (E&F-1.39) were derived & serum iron profiles (Fe 2+, TIBC, Ferritin) was done to distinguish βTT from IDA. Vitamin B12 & folate assay was done . Sensitivity, specificity & Youden index were also calculated . Results:-All 50 pts were diagnosed as β-Thalassemia Trait (HbA2≥3.5 .Hb≤8gms/dl, MCV<60fL, MCH5x106/mm3, RDW>16%).Mean age group is 50yrs, M>F.3/50 cases (6%) shows ↑ HbF along with ↑HbA2.2/50 (4%) has ↑HbS .1 case shows IDA features with βTT. 49/50 (98%) cases of βTT showed-≤ cut off values of all index (MI,SI, S&LI ,E&FI). Serum iron profile was normal in 24/50 (48%), ↑ serum ferritin in 5/50 (10%).↑ vitamin B12 & folate levels seen in 9/50(18%).1 case showed ↓iron profile & ↑index. The MI is the most sensitive (>90%) & specific (>83%). Conclusion:-βTT & IDA are the M.C. causes of microcytic anemia. Hemogram parameters and RBC indices have significant role in βTT. HbA2, MCV & MI are the most sensitive tool to detect βTT.
Published by: Dr. Muthu Venkat T.
Author: Dr. Muthu Venkat T.
Paper ID: V6I4-1193
Paper Status: published
Published: July 15, 2020
Managing cross-cultural diversity in global scenario through HR strategies
International management has never been as significant as today. As the 21st Century has been tremendous growths in enterprise sectors many of the world’s largest firms are truly global and even their small counterparts increasingly participate in cross-border activities by- having customers, joint venture partner collaboration around the globe. The trend towards a single global economy is expanding the market and providing limitless opportunities for global business. Place of a job today consists of people who are diverse and unique in religion and culture, language, age gender and ability, education, interest and opinion, expectations as well. The cultural diversity of a company has cascading effects on the way its organization messages are restrained, collected, allocated, and perceived and how it is elucidated. Global workforces managing has increased pressure on human resource managers to identify and adopt the culture differences. To remain competitive, companies must have an understanding of HRM practices and cultural differences across the globe. The main motive of this study is to get a clear concept of cross-cultural management and to identify the reason, how HR mange to develop a multicultural workforce, the resultant challenges, and the way to manage effectively the diversified workforce in the international scenario.
Published by: Anisha Anil Hande
Author: Anisha Anil Hande
Paper ID: V6I4-1149
Paper Status: published
Published: July 15, 2020
A pre-experimental study to assess the effectiveness of a structured interventional program on knowledge regarding care of patients with chest tube drainage among staff nurses in IGMC and Hospital, Shimla, Himachal Pradesh
Introduction: A chest tube insertion is a surgical procedure to remove the air, blood, pus, lymph, and fluid from the pleural space by inserting a hollow, flexible drainage tube through the side of the chest in the pleural space. A chest tube is a widespread therapeutic intervention for patients admitted to medical and surgical care areas. It is associated with significant morbidity and mortality. Objectives: To assess the knowledge of staff nurses regarding the care of the patient with chest tube drainage, To evaluate the effectiveness of the structured interventional program on knowledge regarding care of the patient with chest tube drainage among staff nurses, to find out the association between pre-test scores of knowledge regarding care of the patient with chest tube drainage with selected socio-demographic variables. Methods: A quantitative one group pre-test and post-test design were conducted at IGMC and Hospital Shimla, Himachal Pradesh. A total of 40 staff nurses were selected by convenience sampling technique. The tool used for data collection was a structured knowledge questionnaire. A structured interventional program on care of patients with chest tube drainage with the use of ppt was administered. Results: The majority of the subjects 19(47.5%) fall in the age group between 26-30 years. With respect to education, 19(47.5) have done B.Sc nursing. 22 (55.0%) of the staff nurses had experienced between 2-3 years, and 34(85.0) of them belong to the Hindu religion. The majority had 20 (70%) average knowledge, 16 (40%) of staff nurses had poor knowledge and 4(10%) of them had good knowledge whereas after intervention majority 28(70%) of the subjects have good knowledge, 12(30%) of subjects has average knowledge and none of the subjects has poor knowledge regarding care of patients with chest tube drainage. The mean knowledge score in the pre-test was (16.6 ±7.98), in the post-test was (31.65±6.12) which indicates there is an increase in knowledge of the subjects. Conclusion: The study concluded that a structured interventional program on the care of the patient with chest tube drainage was found to be effective in increasing the knowledge of staff nurses. Staff nurses had a significant gain in knowledge regarding the care of patients with chest tube drainage.
Published by: Lovely, Sangeeta Sharma
Author: Lovely
Paper ID: V6I4-1196
Paper Status: published
Published: July 15, 2020
Behaviour of youth towards sustainable and fast fashion
Sustainable fashion is producing clothes, shoes, and accessories in environmentally and socio-economically sustainable manners with more sustainable patterns of consumption and use, which necessitate shifts in individual attitudes and behaviour. Sustainable clothing refers to fabrics derived from eco-friendly resources, such as sustainably grown crops or recycled materials and how these fabrics are made. Fashion is the second most polluting industry globally. The apparel and footwear industries together account for more than 8% of global carbon emissions, greater than all international airline flights and maritime shipping routes combined. On average a person consumes 11.4kg of apparel each year (Quantis 2018). It takes about 2,720 litres of water to produce just one cotton shirt – a number equivalent to what an average person drinks over three years (EJF). Nearly three-fifths or 60% of all clothing produced ends up in incinerators or landfills within a year of being made (McKinsey 2016). The total level of fashion waste is expected to be 148 million tons by 2030—equivalent to annual waste of 17.5 kg per capita across the planet. Textile dyeing is the second largest polluter of clean water globally, after agriculture. In such severe conditions, unawareness among consumer about sustainable fashion costs the environment. The main objectives of this study is to analyse whether the trend towards buying sustainable fashion really helping with climate crisis, or should one simply be buying less clothing? For the conservation of the environment, the sustainability of fashion is the utmost need in the present fastest growing world. This research is based on empirical study done with literature review and other secondary data sources. A combination of quantitative and qualitative research methodology approach has been adopted to understand ethical shopping.
Published by: Pragya Gargee
Author: Pragya Gargee
Paper ID: V6I4-1204
Paper Status: published
Published: July 15, 2020
