A Study on Privacy of IoT Devices among a Sample of Indians in the U.S- 2021

The Internet of Things (IoT) has gained immense popularity over the last decade with wide-ranging applications in domains of medicine, science, military as well as domestic use. Despite its tremendous growth, privacy concerns plague IoT applications and have the potential to hamper the benefits derived from its usage. This paper carries out a statistical analysis of empirical data collected from users of IoT to assess the level of awareness among users of IoT. The mode of study was through a questionnaire sent through Google forms to a selection of Indians living across the U.S. The place was chosen as some of the authors were in that country and also because its usage is more in the U.S. Many homes have extensive use of IoT, even if it’s for simple operations like turning on/off electric bulbs. Privacy issues have also been a matter of concern as these devices are linked to the internet. The sample was chosen from judgment /convenience sampling. Only one member per family was asked to respond so that there is no overlap of the collected data. The respondents were asked about the privacy issues of using IOT devices and also if it bothered them to continue usage. The results showed that not only were users aware of the privacy issues related to IoT, but they also expressed concerns over the same. Due to the convenience and ease of usage, it is highly unlikely that people will stop using these devices but definitely, the usage will be more guarded in the future

STUDY ON GAS CHROMATOGRAPHY AND MASS SPECTROSCOPY ANALYSIS, ANTIOXIDANT, AND NUTRITIVE PROPERTIES OF AERVA LANATA (L.) JUSS. COLLECTED FROM SELECTED REGIONS OF SHIMOGA, KARNATAKA, INDIA

Objective: Aerva lanata (L.) Juss., the plant ethanolic extract was subjected to gas chromatography and mass spectroscopy, antioxidant, and nutritive experiment using standard methods. Methods: Antioxidant experiment is done using 2, 2‑diphenyl‑1‑picrylhydrazyl, 2, 2‑azobis‑3‑ethylbenthiozoline‑6‑sulfonic acid, superoxide radical scavenging, hydroxy radical scavenging, and metal‑chelating assays. Nutritive value is performed by double acid digestion followed by atomic absorption spectroscopy. Results: Antioxidant experiment revealed that A. lanata (L.) Juss. the plant ethanolic extract has good medicinal compounds exhibits excellent antioxidant activity in all tested experiments, but comparably less with the standards used. From nutritive value experiment, it is revealed that A. lanata (L.) Juss the plant has high iron content with rich macro‑ and micro‑nutrients. Conclusion: A. lanata (L.) Juss. could be exploited as a valuable source of antioxidant agent enriching with nutrients

Semantic Web-based Turmeric Expert System using IWD Algorithm

Semantic web is a structured way of re-usable data representation that can be used for inferring new knowledge. It provides a common data format for data representation. And it also provides semantics through structured information. Agriculture involves a vast variety of unstructured information. Normally agricultural experts, with their vast experience, provide critical advice in their farming activity. Machine learning algorithms acquire knowledge in the same manner as that of a human expert acquires knowledge with experience. In the present paper, an expert advisory system is simulated using machine learning algorithm for providing expert advice to the end users. A critical study is conducted for understanding the semantic web stack and an attempt has been made to design and develop an expert system namely, "Semantic Web-based Turmeric Expert System using IWD Algorithm". The proposed system has two modules namely, expert advice module and information system module. The Advisory system takes certain details from the end users, regarding their crop and provides the suitable advice. In the present paper, only yield assessment module was considered. Yield estimation system uses Intelligent Water Drops (IWD) algorithm to estimate the yield for each crop variety. Information system provides information about Turmeric crop varieties, parts, pests, pesticides, symptoms and diseases. Protégé is used to develop Ontology. JENA framework is used to retrieve information from Ontology. SWRL rules are implemented to infer rules from the data

Role of atmospheric stability over the Arabian Sea and the unprecedented failure of monsoon 2002

The anomalous behaviour of the monsoon 2002 has been studied. We have made an attempt to combine satellite and other data sources to characterize the thermal stratification over the Arabian Sea during different phases of monsoon 2002. Using NOAA-ATOVSderived atmospheric temperature and moisture profiles, we have calculated a daily stability index (SI) over the entire Indian region and surrounding oceans. The time series of SI clearly brings out the three major significant epochs of monsoon 2002. The relatively dry atmosphere west of 65° E, signifying lack of convection and an unstable atmosphere over the southeast Arabian Sea with west-to-east gradients in water vapour, SI and cloud liquid water content are noted. The unfavourable stratification during July over the entire Arabian Sea has been investigated in detail. The dominant modes of instability oscillations have been seen to be ~ 30 days both over the western and eastern Arabian Sea, while for the high-frequency modes preference was seen over the eastern part. Using the analysed fields of the National Centre for Medium Range Weather Forecasts, the relative contributions of advective and subsidence components in the maintenance of stratification have been investigated. The latter has been found to have played a more dominant role in the deficit monsoon 200

An Electro-Optical Technique For The Measurement Of Temperature Of High Potential Bodies.

In this paper we have presented a low cost, simple and robust mechatronic system for the measurement of temperature in extreme conditions. It is specially designed for the protection of high potential parts of power transformers and switch gears under faulty operating conditions

Method And System For Automatically Generating Artificial Intelligence Powered Prototypes

The present disclosure relates to a method and a system for automatically generating Artificial Intelligence (AI) powered prototypes. Here, a plurality of AI models is provided in a user interface of the system. Further, a selection of a set of the AI models is received via the user interface. For each of the set of the AI models, identification of input features and data sources is received via the user interface for training each of the plurality of AI models. Further, a selection of one or more rules for aggregating model inputs and model outputs is received via the user interface to form one or more searchable tables of sample data for at least one of the artificial intelligence models. The one or more rules include one or more categories of filtering criteria for populating the one or more searchable tables. In response to the user input, the model inputs in the data sources as defined by the input features are identified and a link between the model inputs and the artificial intelligence model is defined. Further, the one or more searchable tables having one or more columns corresponding to the one or more categories are created. Further, an order of operation of the set of artificial intelligence models is received via the user interface. In the order of operation, an output of one or more first AI models is used as an input for one or more second AI models. Thereafter, an AI ensemble that comprises the set of AI models is generated

Exploring Authentic Leadership through Leadership Journey of Gandhi

Leadership research will benefit from bringing in the subjective realities of becoming a leader by considering the leadership journey. Generating an understanding of how leaders turn episodes in time into meaningful subjective narratives helps shed light on the meaning-making process. We seek in this inquiry to understand self-awareness with a narrative meaning-making process. In this study, we adopt a narrative research approach for analyzing the autobiography of Mahatma Gandhi, who is widely acknowledged as an authentic leader. The study explores individual experiences of becoming a leader and factors leading to the manifestation of authentic leadership behaviour as well as followers’ outcomes. The study will also contribute towards the understanding of triggering events experienced by the leader at different points in life which have led to self-awareness

Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing

© 1979-2012 IEEE. Fog computing is a recent research trend to bring cloud computing services to network edges. EDCs are deployed to decrease the latency and network congestion by processing data streams and user requests in near real time. EDC deployment is distributed in nature and positioned between cloud data centers and data sources. Load balancing is the process of redistributing the work load among EDCs to improve both resource utilization and job response time. Load balancing also avoids a situation where some EDCs are heavily loaded while others are in idle state or doing little data processing. In such scenarios, load balancing between the EDCs plays a vital role for user response and real-Time event detection. As the EDCs are deployed in an unattended environment, secure authentication of EDCs is an important issue to address before performing load balancing. This article proposes a novel load balancing technique to authenticate the EDCs and find less loaded EDCs for task allocation. The proposed load balancing technique is more efficient than other existing approaches in finding less loaded EDCs for task allocation. The proposed approach not only improves efficiency of load balancing; it also strengthens the security by authenticating the destination EDCs

Melting heat transfer analysis on magnetohydrodynamics buoyancy convection in an enclosure : a numerical study

Therollof melting heat transfer on magnetohydrodynamic natural convection in a square enclosurewithheatingof the bottom wall is examinednumericallyin this article.The dimensionlessgoverning partial differential equations are transformed into vorticity and stream functionformulationand then solved using the finite difference method(FDM). The effects of thermal Rayleigh number(Ra), melting parameter(M) and Hartmann number(Ha) are illustrated graphically.With an increasing melting parameter and Rayleigh number, the rate of fluid flow and temperature gradients are seen to increase. And in the presence of magnetic field, the temperature gradient reduces and hence the conductionmechanism dominated for larger Ha. Greater heat transfer rate is observed in the case of uniform heating compared with non-uniform case. The average Nusselt number reduces with increasing magnetic parameterin the both cases of heating of bottom wall

Does the Board Influence the Bank’s Performance? An Islamic & Commercial Banking Experience

Purpose: This study investigates to explore the impact of corporate governance and the performance of the banking Industry of Bahrain for the period of 2012–2020.   Theoretical framework: This research is to take a look at corporate governance actions and how it affects the actual bank performance, there are four chosen banks for this particular purpose that are listed under the Stock exchange of Bahrain (SEB) and the Central bank of Bahrain (CBB).   Design/methodology/approach: The methodology for the study is based on pooled data collection from Islamic and commercial banks of Bahrain. All the data will be extracted from the chosen banks’ audited annual financial statements for 9 years ranging from 2012 to 2020. To go ahead with this research two kinds of dependent variables also called performance measures are (ROA, and ROE), and six kinds of independent variables were selected (CEO duality, the board size, board independence, female directorship, number of BOD meetings, and lastly board members expertise) for us to understand the bank performance better.   Findings: The results showed good connections between the (BS) and bank performance as well as the (NBDM), while the (BDI) and (FD) displayed a negative link, and (BDME) and (CEOD) showed no signs of a relationship because all banks had separate people holding those positions instead of one. And even though (BDME) is proven and is logically impactful some analyses failed to show the true linkage.   Research, Practical & Social implications: These results of the study will help the banking industry, regulators, investors, and government to understand the board’s influence on the firm performance.    Originality/value: Original Research Article