Finger dorsal pattern
This paper investigates a new approach for personal authentication using finger dorsal pattern imaging. The texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. The finger geometry features can be simultaneously acquired from the same image at the same time and integrated to further improve the user-identification accuracy of such a system. The finger-back surface images from each user are normalized to minimize the scale, translation, and rotational variations in the knuckle images. This paper details the development of such an approach using peg-free imaging. The experimental results from the proposed approach are promising and confirm the usefulness of such an approach for personal authentication.
Published by: Priya T. Bendarkar
Author: Priya T. Bendarkar
Paper ID: V8I1-1148
Paper Status: published
Published: January 4, 2022
Socio-economic characteristics of the Sugarcane growers in the Balrampur district of Uttar Pradesh
Sugarcane (Saccharum officinarum) is primarily grown for its juice, which is used to make sugar. The vast majority of the world's sugarcane is grown in subtropical and tropical climates. Sugarcane is a well-established source of sugar and the current first-generation feedstock benchmark for efficient biofuel production. The current study was carried out to assess the socioeconomic characteristics of sugarcane growers in the Balrampur District, which was selected purposively. The study was carried out in selected villages of Tulsipur Tehseel in the Balrampur district of Uttar Pradesh. The samples consisted of 316 respondents who were selected through a proportionate random sampling method. The respondents were interviewed personally and data were collected through a pre-structured and pre-tested interview schedule. The study revealed that the majority of the respondents (51.58%) had middle age group, most of the respondents were illiterate (62.78%), They engaged Agriculture farming as a primary occupation and had operational landholding size up to 1 ha with income levels ranging from 75000/- it was also revealed that most of the respondents occasionally participate in social participation, 67.08 percent of the sugarcane growers had a medium level of participation in extension program, whereas 33.86 and 44.30 percent of them had a medium and low level of innovativeness respectively. It was also found that 58.86 percent of the respondents had medium cosmopolites. Respondents are interested in more information and try out new ideas and technologies within their budget and limits and also farmers who are prone to innovations will try to gather information regarding the new technology from various aspects, they wanted to learn new ways of farming, improved production technologies and want to adopt those technologies at a faster rate with maximum accuracy.
Published by: Alimul Islam, Dipak Kumar Bose
Author: Alimul Islam
Paper ID: V8I1-1155
Paper Status: published
Published: January 4, 2022
Machine learning for 5G technology
The deployment of 4G / LTE mobile networks has solved the big challenge of creating high-capacity mobile real broadband internet. This was made possible mainly by the strong physical level and the flexible network architecture. In addition, there is a strong demand for high reliability and almost zero latency of mobile networks with other new services. Such as vehicle communication or vehicle internet. 5G has overcome some of these challenges. In addition, the adoption of software defense networks and the virtualization of network functions have added greater flexibility to operators, allowing operators to support high-demand services from a variety of vertical markets. It is also necessary to predict its evolution in order to create a network that can be actively and effectively (self-measuring). This chapter explains the role of artificial intelligence and machine learning in creating cost-effective and relevant next-generation mobile networks in 5G and later mobile networks. Some of the practical applications of AI / ML in the network life cycle are discussed.
Published by: Patel Niharkumar Kantibhai, Patel Nirmalkumar Shankarbhai, Gameti Brijesh Jashvantbhai
Author: Patel Niharkumar Kantibhai
Paper ID: V8I1-1137
Paper Status: published
Published: January 3, 2022
The analysis of the sustainable food value chain via business model canvass techniques creates a scope of business opportunity.
The convergent innovation model has based on a linear approach to defining next-generation requirements which rely on science technology, innovation program, and full fill the requirement of three themes as the health of people, environment, and economy for the future, which build firms strategic vision, through developing a new product, new process, and practices in a novel way. Purpose: The current research describes the importance of convergent innovation technology, sustainable pulse value chain, and developed convergent innovation framework model and also establishes a potential mapping between convergent innovation with the sustainable pulse value chain and discussed the pioneering initiative of convergent pulse innovative programmer in Indian pulse processing firms. Design/ Methodology; The current research study is based on explorative method and descriptive method, and review literature based on primary data and secondary data. The convergent innovation technology related, from the field of science, technology which highlight evolution of convergent innovation technology get benefitted to all sectors, as well as the collaboration of convergent innovation with sustainable pulse value chain increases the efficiency of pulse processing firms and enhanced sustainable pulse value chain. Conclusion: The convergent innovation upgrade innovative technology and made expansion of business. It operates in multilevel and cross-sectoral collaborative platforms through pulse processing industries and introduced in the form of pulse innovative programs such as the Odessa pulse program, tata pulse initiative program, etc. which establish the link between villages and modern value chains. The research focused on the mapping of convergent innovation with a sustainable pulse value chain to generate benefits.
Published by: Mandavi Sahu, DR. SAPNA ARORA, Dr. Vishal Jain
Author: Mandavi Sahu
Paper ID: V7I6-1318
Paper Status: published
Published: January 3, 2022
Knowledge, attitude, and practices regarding contraception among reproductive-age females of Mashobra, Himachal Pradesh
Objective To assess the knowledge, attitude, and practice of contraception among reproductive-age females of Mashobra Block. Materials and Methods A cross-sectional study was conducted during the month of December 2021 to evaluate the knowledge, attitude, and practice of contraception among 230 reproductive-age females visiting the outpatient department in Community Health Center Mashobra, Shimla. Descriptive statistics were used for data analysis. Results The study showed that 94.7% of the reproductive age females had heard about contraceptives, and 83.5% knew about the source of availability of contraceptives. 58% of females had gained information about family planning and contraception from health personnel, 27% from friends, 13% from media, and 1.7% from newspapers. 90males knew about male condoms, but only 50% had knowledge about contraceptive pills. Among the permanent methods, female sterilization was more widely known (56%) than male sterilization (28%). 78% of females thought that contraceptive use was beneficial, but 22% thought otherwise. Only 69% of females were presently using contraception or willing to use some contraceptive method in the future. The most common methods of contraception used by females of reproductive age were condoms (40%) by the male partner. Around 14% of females had undergone sterilization. Conclusion The study highlights the need for continuing education about sexuality and contraception. Health personnel, especially ASHA workers, have played a pivotal role in spreading awareness and can thus be used for motivating eligible couples to adopt family planning methods and use of contraception.
Published by: Dr. Sonali Singh, Dr. Shalini Sharma, Dr Ambuj Shandil, Dr. Aabha Sharma
Author: Dr. Sonali Singh
Paper ID: V7I6-1425
Paper Status: published
Published: January 3, 2022
Influence of water hardness on the use of hair care products in the sensory evaluation and physical properties of hair
In this study, the effects of water hardness on the use of hair care products are analyzed on the basis of sensory assessments and physical characteristics of hair. The study is divided into sections into sensory attributes and physical properties to assist with a scientific analysis of the influence of water hardness on the use of hair care products. Sensory evaluation is conducted by a trained shampoo panel with 8-10 members. In order to carry out an objective assessment of sensory properties, physical measurement techniques are used that focus on quantifying the combing force of the hair. Three shampoo technologies (standard shampoo, polymer care technology, silicone technology) are applied on damaged hair and undamaged hair. This study shows that water hardness has a significant influence on the use of these three shampoo technologies. Water hardness has a significant effect on eight attributes of the shampoo panel: Perceived hair quantity, aqueous foam, rinsing time in seconds, ease of disentangling, combability, residual product, hair - dullness, lackluster, hair - softness. Silicone technology shows the best performance regarding water hardness.
Published by: Stephanie Wagner
Author: Stephanie Wagner
Paper ID: V7I6-1423
Paper Status: published
Published: January 3, 2022
