FogGIS: Fog Computing for Geospatial Big Data Analytics

Cloud Geographic Information Systems (GIS) has emerged as a tool for analysis, processing and transmission of geospatial data. The Fog computing is a paradigm where Fog devices help to increase throughput and reduce latency at the edge of the client. This paper developed a Fog-based framework named Fog GIS for mining analytics from geospatial data. We built a prototype using Intel Edison, an embedded microprocessor. We validated the FogGIS by doing preliminary analysis. including compression, and overlay analysis. Results showed that Fog computing hold a great promise for analysis of geospatial data. We used several open source compression techniques for reducing the transmission to the cloud.Comment: 6 pages, 4 figures, 1 table, 3rd IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics (09-11 December, 2016) Indian Institute of Technology (Banaras Hindu University) Varanasi, Indi

Study of performance of Adiabatic Carry Look Ahead Adder Using Dynamic CMOS Logic

Performance of adiabatic carry look ahead adder using dynamic CMOS are studied and compared with Adiabatic carry look ahead adder using Pass Transistor. adiabatic carry look ahead adder using pass transistor has higher delay and lower power consumption while adiabatic carry look ahead adder using dynamic cmos logic has lower power dissipation and higher speed. adiabatic carry look ahead adder using dynamic cmos are design using 180 nm cmos technology and compared power dissipation and delay with respect to supply voltage and frequency. simulation result show that power dissipation of carry look ahead adder using dynamic cmos has higher performance comparison adiabatic CLA using pass transistor. simulation result show that adiabatic CLA using dynamic cmos reduce the power consumption 45% and delay reduce to 70% comparison to adiabatic CLA using pass transistor

Gulf migration study : employment, wages and working conditions of Kerala emigrants in the United Arab Emirates

This is the fourth in a series of Working Papers published by the CDS on Kerala migration. Unlike the other three, this one is financed by the Kerala Government and the data were collected in UAE. The objectives of this Working Paper are to: - document changes in the labour demand for different categories of emigrant workers - enumerate the emigration policies - examine employment and working conditions, wage levels and related problems of the Kerala emigrants - understand the education and training requirements of future emigrants to UAE

Designing a Healthcare QA Assistant: A Knowledge Based Approach

Question answer (QA) assistants are vital tools to address users’ information needs in healthcare. Knowledge graphs (KGs) and language models (LMs) have shown promise in building QA systems, but face challenges in their integration, and performance. Motivated thus, we take the case of a specific disease, skin eczema, to design a QA system combining KG and LM approaches. We present design iterations for systematically developing the KG, then fine-tuning a LM, and finally carrying out joint reasoning over both. We observe that while KGs are effective for fact finding, fine-tuned LMs perform better at answering complex queries. Initial results suggest that combining KG and LM approaches can improve the performance of the system. Our study contributes by laying out the design steps and developing a QA system that addresses various gaps in the related literature. Our future plan is to refine these techniques towards building a full-fledged healthcare QA assistant

A Joint-Reasoning based Disease Q&A System

Medical question answer (QA) assistants respond to lay users' health-related queries by synthesizing information from multiple sources using natural language processing and related techniques. They can serve as vital tools to alleviate issues of misinformation, information overload, and complexity of medical language, thus addressing lay users' information needs while reducing the burden on healthcare professionals. QA systems, the engines of such assistants, have typically used either language models (LMs) or knowledge graphs (KG), though the approaches could be complementary. LM-based QA systems excel at understanding complex questions and providing well-formed answers, but are prone to factual mistakes. KG-based QA systems, which represent facts well, are mostly limited to answering short-answer questions with pre-created templates. While a few studies have jointly used LM and KG approaches for text-based QA, this was done to answer multiple-choice questions. Extant QA systems also have limitations in terms of automation and performance. We address these challenges by designing a novel, automated disease QA system which effectively utilizes both LM and KG techniques through a joint-reasoning approach to answer disease-related questions appropriate for lay users. Our evaluation of the system using a range of quality metrics demonstrates its efficacy over benchmark systems, including the popular ChatGPT.Comment: 36 pages, 6 figures, submitted to TMIS on 14 July 2023 (status: under review

International lease accounting reform and economic consequences: the views of UK users and preparers

In response to perceived difficulties with extant lease-accounting standards in operation worldwide, the G4+1 issued a discussion paper which proposes that all leases should be recognized on the balance sheet [ASB (1999). Leases: Implementation of a new approach, discussion paper. London: Accounting Standards Board]. Leasing is now on the active agenda of the IASB. A major difficulty faced by standard setters lies in overcoming the preparer/user lobbying imbalance and obtaining ex ante evidence on the likely impact of regulatory reform. This paper contributes to the ongoing international debate by conducting a questionnaire survey of U.K. users and preparers to assess their views on proposals for lease-accounting reform and on the potential economic consequences of their adoption. The results, based on 132 responses, indicate that both groups accept that there are deficiencies in the current rules, but they do not agree on the way forward and believe that the proposals would lead to significant economic consequences for key parties. The impact on respondents' views of familiarity with the proposals, level of lease usage, and company size, is also examined

CULTURAL COMPETENCE OF HEALTH CARE WORKERS: A STUDY OF SASARAM/BIHAR

The socio-cultural diversity within our society poses challenges for the healthcare professional to ensure the quality of health care services. Addressing the cultural competencies of the health care professional is the strategic approach to improve the quality and effectiveness of the health care services for socially and culturally diverse groups. Cultural competence is the ability of the professional to recognize, appreciate, and respect the values, preferences, and expressed needs of patients seeking health care services under their care. In Rural health care settings, the ethnics and cultural differences based on caste, class and gender create severe challenges for the health care professional to address the expectation and needs of the patients which leads to miscommunication and dissatisfaction among the patients which even challenges the ethical values of the health care professionals. Therefore cultural competence has to be integrated into health care practices very effectively. Evidence from various studies showcases that cultural competence training of the health care professional is quite effective in promoting the knowledge, attitudes, skills of the profession on cultural sensitiveness and practices which can be effective in fulfilling the goal of health for all. Therefore this study emphasized understanding the issues associated with the cultural competence of the healthcare professional in rural healthcare settings by outlining the concept of the cultural competence from rural healthcare settings and by exploring the existing consequence of deficiencies in cultural aspects in health care. It is evident from the study that many staff engaged in the rural health care setting recognise the importance of the issues and opinion that the issues must be addressed so that the health practices can be enhanced. Based on the opinion of the respondents finally through the study effort has been made to propose the possible social work intervention to address the issues and promote cultural competencies among the health care professionals. The social work intervention focused on intensive training on cultural competence and cross-cultural issues for health professionals and ensuring multidomain teams work so that the cultural barrier can be overcome effectively