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Question Answering Systems for Covid-19

Journal of Physics: Conference Series 2021年第1期2062卷

作者： Poonam Gupta Ruchi Garg Amandeep Kaur Assistant Professor Computer Science and Engineering Department MMEC M.M.(Deemed to be) University Mullana Ambala Haryana India guptapoonam 231 Assistant Professor Electronics and Communication Engineering Department MMEC M.M. (Deemed to be) University Mullana Ambala Haryana India Associate Professor Computer Science and Engineering DepartmentMMEC M.M. (Deemed to be) University Mullana Ambala Haryana India

In the present scenario COVID-19 pandemic has ruined the entire world. This situation motivates the researchers to resolve the query raised by the people around the world in an efficient manner. However, less number of resources available in order to gain the information and knowledge about COVID-19 arises a need to evaluate the existing Question Answering (QA) systems on COVID-19. In this paper, we compare the various QA systems available in order to answer the questions raised by the people like doctors, medical researchers etc. related to corona virus. QA systems process the queries submitted in natural language to find the best relevant answer among all the candidate answers for the COVID-19 related questions. These systems utilize the text mining and information retrieval on COVID-19 literature. This paper describes the survey of QA systems-CovidQA, CAiRE (Center for Artificial Intelligence Research)-COVID system, CO-search semantic search engine, COVIDASK, RECORD (Research Engine for COVID Open Research Dataset) available for COVID-19. All these QA systems are also compared in terms of their significant parameters-like Precision at rank 1 (P@1), Recall at rank 3(R@3), Mean Reciprocal Rank(MRR), F1-Score, Exact Match(EM), Mean Average Precision, Score metric etc.; on which efficiency of these systems relies.

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Understanding Hadoop Framework Through Single-Node Cluster Installation

Understanding Hadoop Framework Through Single-Node Cluster I...

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International Conference on Recent Advances in Energy-efficient Computing and Communication (ICRAECC)

作者： V. G. Anisha Gnana Vincy T. Karthija J. Sunil Assistant Professor Department of Computer Science and Engineering V V College of Engineeing Tisaiyanvilai India Assistant Professor Department of Mechanical Engineering V V College of Engineeing Tisaiyanvilai India

ISBN: (纸本)9781538694831

Hadoop is a Java-based open source programming model that becomes a pillar in recent distributed computing by providing massive storage and multiprocessing of data. Hadoop becomes a simple and easy to implement programming model through the usage of commodity hardware. Hadoop open-source became a foundation for massive parallel processing of big data which includes scientific analytics, e-commerce data and sales planning, and processing enormous volumes of sensor from various sensors. Since Hadoop plays vital role in distributed parallel processing of big data, it is good to know the technical details behind the hadoop framework. This paper focus on detailing the necessary steps for the successful implementation of a Hadoop single-node cluster in a individual computer which provide a foundation for the new hadoop users.

关键词： Big Data Java parallel processing public domain software storage management PARALLEL PROCESSING (computerS) big data open source software Store management Java Java programming language Sensors

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Application of certain Third-order Non-linear Neutral Difference Equations in Robotics engineering

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Journal of Physics: Conference Series 2021年第1期1831卷

作者： S Sindhuja J Daphy Louis Lovenia A P Lavanya D Darling Jemima G Jayabarathy Research Scholar Department of Mathematics Karunya Institute of Technology and Sciences Coimbatore India. Professor Department of Mathematics Karunya Institute of Technology and Sciences Coimbatore India. Assistant Professor Department of Mathematics Sri Krishna college of Engineering and Technology Coimbatore India. Assistant Professor Department of Computer Science and Engineering Sri Ramakrishna Engineering college Coimbatore.

We have obtained some results on oscillatory behavior of third order nonlinear neutral difference equations of the form where β and γ are odd integers with γ ≥ 1. Example is provided to illustrate the results.

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Experience of Truth-Telling From the Viewpoints of Family in the Intensive Care Units

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Hu li za zhi The journal of nursing 2020年第4期67卷 50-60页

作者： Kung, Chen-Ning Yeh, Chun-Yin Lai, Wei-Shu Chen, Chin-Ming Ko, Nai-Ying 1MSN RN Department of Nursing Chi Mei Medical Center Taiwan ROC PhD RN Postdoctoral Research Fellow Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science National Cheng Kung University Taiwan ROC PhD RN Assistant Professor Department of Nursing College of Medicine National Cheng Kung University Taiwan ROC MD Attending Physician and Professor Department of Intensive Care Medicine Chi Mei Medical Center ROC Taiwan PhD RN Distinguished Professor Department of Nursing College of Medicine National Cheng Kung University Taiwan ROC

TITLE: 從加護病房家屬觀點探究重症病情告知的經驗. 背景: 病情告知是減少醫病認知落差的重要步驟，且能減輕家屬心理壓力。現階段研究仍缺乏家屬對重症病情告知經驗及需求之探討。. 目的: 瞭解重症家屬病情告知經驗及過程需求。. 方... 详细信息

TITLE: 從加護病房家屬觀點探究重症病情告知的經驗. 背景: 病情告知是減少醫病認知落差的重要步驟，且能減輕家屬心理壓力。現階段研究仍缺乏家屬對重症病情告知經驗及需求之探討。. 目的: 瞭解重症家屬病情告知經驗及過程需求。. 方法: 採描述現象學，立意取樣5位加護病房疾病嚴重度≥ 20分的病人家屬進行深度訪談。以Giorgi現象學分析法，利用Nvivo 11分析歸納資料。. 結果: 整體經驗包含四大主題：（一）訊息聽了無法懂，希望疑問詳細解、（二）無助找尋為解答，期望護理來幫忙、（三）託付專業卻無奈，渴望醫療多些愛、（四）重重難關多牽絆，盼望見解來割斷。. 結論／實務應用: 病情告知著重傳遞結果，家屬無法理解病情變化原因。本研究建議醫療專業人員應體認家屬認知程度，並顧及其情緒反應，納入家屬需求及期待，以病人為中心提供個別化告知。.;BACKGROUND: Truth-telling is an important step toward reducing the cognitive gap between physicians and patients as well as reducing the psychological pressures applied to physicians by family members. There is a lack of research on the truth-telling experience and needs in the intensive care unit from the perspective of patient family members. PURPOSE: This study is designed to explore the experiences and needs of families in the intensive care unit. METHODS: A descriptive phenomenology method was used in this study. In-depth interviews were conducted with five participants who had family members assessed with acute physiology and chronic health evaluation II scores ≥ 20. Data were analyzed using Giorgi's phenomenological methods and Nvivo 11. RESULTS: Four experience themes were examined, including (1) nothing is clear, requires explanation;(2) helpless to find answers, need a nurse to resolve this issue;(3) professional conduct makes us feel helpless, longing for love from the medical team;(4) decisions are very difficult, hoping to get more help. CONCLUSIONS / IMPLICATIONS FOR PRACTICE: The family members expressed that they were unable to understand the underlying causes of the progression in patient condition because the medical team only presented outcomes to the family and did not discuss related causes. Thus, it is recommended that medical teams learn to recognize the cognitive processes of patient family members and consider their emotions, including their needs and expectations, in order to provide individualized explanations based on a patient's status and progress.

关键词： family needs intensive care unit phenomenology truth-telling

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Modeling of an Adaptive Energy Based Route Broadcasting Algorithm (AERBA) Using Route Optimization in MANET

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IOP Conference Series: Materials science and engineering 2021年第1期1084卷

作者： S B Manoojkumaar C Poongodi Assistant Professor Department of Computer Science and Engineering J.K.K.Munirajah College of Technology T.N.Palayam Professor & Head Department of Electronics and Communication Engineering Bannari Amman Institute of Technology Sathyamangalam

Owed to the uncertain and dynamic behaviour of nodes over Mobile Ad-Hoc Networks (MANETs), the reliable route discovery and data delivery is considered as a challenging factor. With absence of centralized infra-structure and global broadcasting nature, nodes over the distributed environment rely over the neighborhood nodes. For reliable communication, the network needs to broadcast the routing direction to chose the appropriate neighborhood partner to make the functionality effectual during packet relying. Therefore, the evaluation process is determined to be a crucial factor. Various methodologies use the trust-based concepts for choosing the route broadcasting region and neighborhood nodes. However, those methods are identified with certain limitations and the evaluation is performed over single node. The inadequate consideration of these factors leads to the wider range of network model that leads to inappropriate broadcasting. This leads to packet loss, higher energy consumption due to re-transmission of packets. In this work, an Adaptive Energy-based Route Broadcasting Algorithm (AERBA) using Route Optimization (RO) is applied along with the route optimization approach to derive the global solutions. This leads to the trust establishment among the network nodes and pretends to fulfill the constraints related to broadcasting and energy consumption. The anticipated model facilitates appropriate evaluation over the potential nodes with multiple hops for balancing the route broadcasting and energy consumption. Simulation is carried out in MATLAB environment and the results demonstrate lesser energy consumption, higher delivery ration when compared with prevailing approaches.

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Design and Analysis of an Efficient Multi-Relational Decision Tree Learning Algorithm

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IOP Conference Series: Materials science and engineering 2021年第1期1099卷

作者： Chhutten Singh Yadav Abhishek Kumar Ankit Kumar Pankaj Dadheech School of Management Studies Graphic Era Hill University Dehradun Uttarakhand India Assistant Professor Department of Computer Science & IT Jain (Deemed to be University) Bangalore India Assistant Professor Department of Computer Science & Engineering Swami Keshvanand Institute of Technology Management & Gramothan Jaipur Rajasthan India

In today's day of modern era when the data handling objectives are getting bigger and bigger with respect to volume, learning and inferring knowledge from complex data becomes the utmost problem. The research in Knowledge Discovery in Databases has been primarily directed to attribute-value learning in which one is described through a fixed set tuple given with their values. Database or dataset is seen in the form of table relation in which every row corresponds to an instance and column represents an attribute respectively. In this paper a New framework is introduced a much more sophisticated and deserving approach i.e., Hybrid Multi-Relational Decision Tree Learning Algorithm which overcomes with Exiting technology drawbacks and other anomalies. Result show that Hybrid Multi- Relational Decision Tree Learning Algorithm provides certain methods which reduces its execution time. Experimental results on different datasets provide a clear indication that Hybrid Multi-Relational Decision Tree Learning Algorithm is comprehensively a better approach.

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A reversible data hiding method for image protection

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AIP Conference Proceedings 2021年第1期2387卷

作者： S. S. Saranya C. Santhosh M. Santhiya S. Jeevana J. Dhivya A. Vanitha 1Assistant Professor Computer Tehnology UG Kongu Engineering College. Perundurai Tamil Nadu-638060 India 2Assistant Professor Department of Computer Science Engineering Nandha Engineering College Perundurai Tamil Nadu-638052 India 3UG Scholar Computer Tehnology UG Kongu Engineering College Perundurai Tamil Nadu-638060 India

Encryption is the way toward encoding given information that can't be perceived by an unapproved individual. Securing a message or a picture which is partaken in a social stage be the difficult undertaking these days. This paper proposes an account procedure to steganography by means of reversible room before encryption surface mix. Reversible room before encryption surface mix measure explore supplementary unobtrusive side picture that arranges different facet picture with a similar and relative appearance with optional dimensions. This paper networks the Reversible room before encryption surface association cycle with steganography for covering secrete data. Rather than using contemporary cover photo for covering information our figure seal the source surface picture and introduces coded message via pattern of Reversible room before encryption surface association. This licenses us to isolate the secret messages and source surface from a stego designed surface. This philosophy proffers main three focal points. Most importantly, the positioning provide data embedding furthest extended that is contrast to dimensions of surface of the stego picture. Second, a steganalytic compute not apparently to conquer steganography technique. Third, changeable capacity gained from our arrangement gives value, which grants recovery surface of the source. Exploratory results are guaranteed to provide various consignment of introducing curtailment, produce ostensibly viable surface pictures, and also recuperate fount surface.

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Review for Detecting Smoke and Fire in Forest using Different Technologies

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： Dinesh Komarasamy M. Gokuldhev J Jenita Hermina M Gokulapriya M Manju Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Perundurai Assistant Professor Department of Computer Science and Engineering AMRITA College of Engineering and Technology Nagercoil UG Scholar Department of Computer Science and Engineering Kongu Engineering College Perundurai

Nature has a huge role to maintain the stability in the environment. But, natural disasters damage the environment, affect the life cycle and decline the lifetime of living beings. Nature is destroyed by different disasters namely earthquake, fire, flood, landslide, air pollution and so on. Among these, forest fire is one of the foremost dangerous natural disasters which cause several serious issues like biodiversity loss, global warming, fuel wood loss and air pollution in the environment. Therefore, prediction of fire occurring in forest plays a crucial role to save lots of the environment. Thus, researchers focused on different technologies with different methodologies for predicting the fire that occurred in forest, as early as possible. Moreover, smoke is the focal point for fire, some of the researchers pay their attention on detecting the smoke of the forest using different technologies. Therefore, this paper gives a summary for effectively detecting the smoke and fire in forest.

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Credit Card Forgery Identification By Location Using Android Based Monitoring

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： V. M. Jemin P. Vasanthan Assistant Professor Department of Computer Science and Engineering RMK College of Engineering and Technology

In cellular network, the user's location is probably used as an authentication aspect similar to other elements like password, PIN range combined with the use of device that the person consisting of card or a mobile. An encrypted and decrypted key is generated using RSA. The generated values are send to user's cellular as SMS. The user's mobile region is identified by the place of use far flung customer authentication protocol and its integrity is proven by Galileo Navigation satellite known as Local element. We proposed an LRAP based method for secure transactions.

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The Influence of Using Responsive Façade as a Tool for Improving the Built Environment: Case study: Attaba – Opera square

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IOP Conference Series: Earth and Environmental science 2022年第1期992卷

作者： M F Eltanboly M M Afify Architecture Department Teaching Assistant Cairo Higher Institute for Engineering Computer Science and Management No.2 Banafseg Center2 first Settlement Cairo Postcode 11477 Egypt and PhD. Student Environmental Design and Energy Efficiency Department Cairo University Faculty of Engineering Giza Architecture department Professor in Environmental Design and Energy Efficiency Department Cairo University Faculty of Engineering Giza

The path we are currently following to improve the physics of construction due to the destruction of our environment through the negative impact of the built environment around us. Current efforts to decrease carbon and energy are noted by modifying and improving modern 'layered' envelopes and improving a misunderstanding of thermal comfort that has become much less effective than expected. Understanding construction physics is an important factor in improving the quality of life indoor and outdoor, relying primarily on theoretical and computational aspects, then applying the practical part to reduce excessive use of carbon and energy and hinder the elaboration of a sustainable and built environment. This paper shows how the problem stems from neglecting to think about the first principles and basic construction physics. Similarly, we show how combining good construction physics with reassessing old methodologies to construction and structure use provides some powerful and effective tools to address the climate emergency. The use of construction physics methods supports the search for new solutions to express the most important factors affecting thermal conduction and minimum surface temperatures. However, buildings have integrated concepts in which advanced systems work together to optimize energy, comfort, and health performance. Convergence between various engineering fields and the overlapping field of construction techniques and services has great potential in the future to achieve the next step in energy saving. As a result, the research highlights new methods that make our buildings interact with the external environment using climate data, responsive envelope design, simulation software, thereby achieving architectural response to surrounding variables, improving building physics to reduce environmental pollution, thermal comfort, and achieving the highest energy efficiency and performance in buildings. This is illustrated by the presentation of a case study

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