scholarly journals Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4557 ◽  
Author(s):  
Gildásio Antonio de Oliveira Júnior ◽  
Robson de Oliveira Albuquerque ◽  
César Augusto Borges de Andrade ◽  
Rafael Timóteo de Sousa ◽  
Ana Lucila Sandoval Orozco ◽  
...  
Keyword(s):  
Decision Making ◽  
Sentiment Analysis ◽  
Real Time ◽  
Low Cost ◽  
High Capacity ◽  
Point Of View ◽  
Business Strategies ◽  
Technological Structure ◽  
Present Information ◽  
Great Relevance

Currently, social networks present information of great relevance to various government agencies and different types of companies, which need knowledge insights for their business strategies. From this point of view, an important technique for data analysis is to create and maintain an environment for collecting data and transforming them into intelligence information to enable analysts to observe the evolution of a given topic, elaborate the analysis hypothesis, identify botnets, and generate data to aid in the decision-making process. Focusing on collecting, analyzing, and supporting decision-making, this paper proposes an architecture designed to monitor and perform anonymous real-time searches in tweets to generate information allowing sentiment analysis on a given subject. Therefore, a technological structure and its implementation are defined, followed by processes for data collection and analysis. The results obtained indicate that the proposed solution provides a high capacity to collect, process, search, analyze, and view a large number of tweets in several languages, in real-time, with sentiment analysis capabilities, at a low cost of implementation and operation.

scholarly journals Monitoring and sensing COVID-19 symptoms as a precaution using electronic wearable devices

2020 ◽  
Vol 16 (4) ◽  
pp. 341-350 ◽  
Author(s):  
Josephine M.S. ◽  
Lakshmanan L. ◽  
Resmi R. Nair ◽  
Visu P. ◽  
Ganesan R. ◽  
...  
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Mobile Apps ◽  
Low Cost ◽  
Wearable Devices ◽  
Point Of View ◽  
Diverse Range ◽  
Content Type ◽  
The Status ◽  
Medium Risk

Purpose The purpose fo this paper is to Monitor and sense the sysmptoms of COVID-19 as a preliminary measure using electronic wearable devices. This variability is sensed by electrocardiograms observed from a multi-parameter monitor and electronic wearable. This field of interest has evolved into a wide area of investigation with today’s advancement in technology of internet of things for immediate sensing and processing information about profound pain. A window span is estimated and reports of profound pain data are used for monitoring heart rate variability (HRV). A median heart rate is considered for comparisons with a diverse range of variable information obtained from sensors and monitors. Observations from healthy patients are introduced to identify how root mean square of difference between inter beat intervals, standard deviation of inter-beat intervals and mean heart rate value are normalized in HRV analysis. Design/methodology/approach The function of a human heart relates back to the autonomic nervous system, which organizes and maintains a healthy maneuver of inter connected organs. HRV has to be determined for analyzing and reporting the status of health, fitness, readiness and possibilities for recovery, and thus, a metric for deeming the presence of COVID-19. Identifying the variations in heart rate, monitoring and assessing profound pain levels are potential lives saving measures in medical industries. Findings Experiments are proposed to be done in electrical and thermal point of view and this composition will deliver profound pain levels ranging from 0 to 10. Real time detection of pain levels will assist the care takers to facilitate people in an aging population for a painless lifestyle. Originality/value The presented research has documented the stages of COVID-19, symptoms and a mechanism to monitor the progress of the disease through better parameters. Risk factors of the disease are carefully analyzed, compared with test results, and thus, concluded that considering the HRV can study better in the presence of ignorance and negligence. The same mechanism can be implemented along with a global positioning system (GPS) system to track the movement of patients during isolation periods. Despite the stringent control measurements for locking down all industries, the rate of affected people is still on the rise. To counter this, people have to be educated about the deadly effects of COVID-19 and foolproof systems should be in place to control the transmission from affected people to new people. Medications to suppress temperatures, will not be sufficient to alter the heart rate variations, and thus, the proposed mechanism implemented the same. The proposed study can be extended to be associated with Government mobile apps for regular and a consortium of single tracking. Measures can be taken to distribute the low-cost proposal to people for real time tracking and regular updates about high and medium risk patients.

scholarly journals Formalization and elaboration of a company’s business strategy

2018 ◽  
Vol 16 (3) ◽  
pp. 80-91 ◽  
Author(s):  
Karina V. Balashova ◽  
Aleksandr M. Batkovskiy ◽  
Pavel A. Kalachikhin ◽  
Elena G. Semenova ◽  
Yury F. Telnov ◽  
...  
Keyword(s):  
Decision Making ◽  
Business Strategy ◽  
Point Of View ◽  
Business Strategies ◽  
Theoretical Interpretation ◽  
Strategic Objectives ◽  
Strategic Goals ◽  
Relationship Of ◽  
Selection Of ◽  
Strategic Goal

The article deals with issues of formalization and elaboration of business strategies. The authors have formulated a hypothesis that there is no universal strategy ensuring maxi¬mum benefit to an enterprise. The choice of a company’s strategy is considered from the point of view of a game-theoretical interpretation as a competition component. The process of engineering a company’s business strategy is presented in the form of a technological network. The study shows the possibility of automating the selection of a strategy by decision-making support systems. The article outlines the problem of classifying enterprise strategies by general features. The structure of a company’s strategy is formalized as a relationship of a set of strategic objectives in the S.M.A.R.T. technique and a set of means to achieve the goals limited by a company’s capabilities. The authors examine the indicator structure for achieving strategic goals. A definition is given to the type and form of a strategy based on the pattern concept. The article defines a methodology for assessing the probability of achieving the strategic goal. A new concept of a fluid strategy has been introduced along with several other variations of business strategies that might be encountered.

scholarly journals Assessment of semantic similarity in entities under monitoring: A systematic literature mapping

2020 ◽  
pp. 21-31
Author(s):  
María Laura Sánchez Reynoso ◽  
Mario José Diván
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Semantic Similarity ◽  
Search Strategy ◽  
Point Of View ◽  
Systematic Mapping Study ◽  
Exclusion Criteria ◽  
Literature Mapping ◽  
Research Questions ◽  
Measurement And Evaluation

The detection and evaluation of semantically similar entities in measurement projects is a key asset for real-time decision making because it allows reusing their knowledge and previous experiences. In this way, the objective of this work is to map the thematic area of data stream processing to identify the topics that have been investigated in the detection of semantically similar entities. From the methodological point of view, a systematic mapping study was conducted obtaining 2,122 articles. Thus, 111 were kept refining the search strategy, and 25 were considered once the filters were applied jointly with the inclusion/exclusion criteria. After reading the 25 documents, just 6 were pertinent and allowed answering the research questions aligned with the research objective. The semantic similarity applied to entities under monitoring in the measurement and evaluation projects is a challenge. Real-time decision making depends on the obtained measures, the monitored entity, and the context in which it is immersed.

scholarly journals Sentiment Trend Analysis of Big Data

2019 ◽  
Vol 8 (10) ◽  
pp. 59-64
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Big Data ◽  
Sentiment Analysis ◽  
Real Time ◽  
Language Processing ◽  
Opinion Mining ◽  
Data Sources ◽  
Product Reviews

Various fields like Text Mining, Linguistics, Decision Making and Natural Language Processing together form the basis for Opinion Mining or Sentiment Analysis. People share their feelings, observations and thoughts on social media, which has emerged as a powerful tool for rapidly growing enormous repository of real time discussions and thoughts shared by people. In this paper, we aim to decipher the current popular opinions or emotions from various sources, hence, contributing to sentiment analysis domain. Text from social media, blogs and product reviews are classified according to the sentiment they project. We re-examine the traditional processes of sentiment extraction, to incorporate the increase in complexity and number of the data sources and relevant topics, while re-populating the meaning of sentiment. Working across and within numerous streams of social media, expression of sentiment and classification of polarity is re-examined, thereby redefining and enhancing the realm of sentiment. Numerous social media streams are analyzed to build datasets that are topical for each stream and are later polarized according to their sentiment expression. In conclusion, defining a sentiment and developing tools for its analysis in real time of human idea exchange is the motive.

Unraveling E-WOM Patterns Using Text Mining and Sentiment Analysis

2020 ◽  
pp. 88-100
Author(s):  
João Guerreiro ◽  
Sandra Maria Correia Loureiro
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Sentiment Analysis ◽  
Real Time ◽  
Word Of Mouth ◽  
Decision Makers ◽  
Valuable Resource ◽  
Textual Information ◽  
Online Reputation ◽  
Unstructured Information

Electronic word-of-mouth (e-WOM) is a very important way for firms to measure the pulse of its online reputation. Today, consumers use e-WOM as a way to interact with companies and share not only their satisfaction with the experience, but also their discontent. E-WOM is even a good way for companies to co-create better experiences that meet consumer needs. However, not many companies are using such unstructured information as a valuable resource to help in decision making: first, because e-WOM is mainly textual information that needs special data treatment and second, because it is spread in many different platforms and occurs in near-real-time, which makes it hard to handle. The current chapter revises the main methodologies used successfully to unravel hidden patterns in e-WOM in order to help decision makers to use such information to better align their companies with the consumer's needs.

Environment Based Design Approach to Integrating Enterprise Applications

2012 ◽  
Vol 12 (3) ◽  
Author(s):  
Suo Tan ◽  
Yong Zeng ◽  
Bo Chen ◽  
Hamzeh K. Bani Milhim ◽  
Andrea Schiffauerova
Keyword(s):  
Business Processes ◽  
High Efficiency ◽  
Low Cost ◽  
Research Work ◽  
Cost Effective ◽  
Semantic Integration ◽  
Point Of View ◽  
Business Strategies ◽  
Enterprise Applications ◽  
Legacy Applications

Enterprises tend to depend on various legacy applications in supporting their business strategies and in achieving their goals. In order for an enterprise to be efficient and cost-effective, their legacy applications should be seamlessly integrated within and beyond the enterprise. Some research work in enterprise applications integrations (EAI) analyzed the problem, while others proposed solution models for the syntactic and semantic integration of business processes. In this paper, the EAI is considered as a design problem and is analyzed from design point of view. Environment based design (EBD) methodology is applied to handle the integration problem by analyzing and clarifying the design requirements to generate appropriate solutions. A framework is proposed for EAI problems based on the EBD approach. A case study is also provided to show how the approach can be applied within a company to generate satisfactory EAI solutions with low cost, high efficiency, and enhanced scalability.

The role of rapid prototyping for surgical planning in a case of caval thrombosis from kidney carcinoma

2020 ◽  
Vol 4 (2) ◽  
pp. 75-82
Author(s):  
Elena Huong Tran ◽  
Domenico Caputo ◽  
Annunziata D'Elia ◽  
Andrea Campisi ◽  
Andrea Soluri ◽  
...  
Keyword(s):  
Decision Making ◽  
3D Printing ◽  
Rapid Prototyping ◽  
Surgical Planning ◽  
Low Cost ◽  
Point Of View ◽  
Decision Making Process ◽  
Scenario Method ◽  
The Impact

Aim: To define the impact of rapid prototyping for surgical planning in the surgeon’s decision-making process when dealing with a very complex clinical scenario. Method & framework: A straightforward questionnaire involving four simple questions regarding specific technical aspects was administered to the surgeons to evaluate their basic judgments on the surgical strategy to follow. Images from a standard CT scan were used for the subsequent processing and 3D printing of a very cheap anatomical model of a surgical scenario with a low-cost printer, which was shared with the surgeons. At last, the same questionnaire was re-administered to the surgeons. The degree of judgment was found to be modified by approximately 25%. Conclusion: From a surgical point of view, the interaction with technical experts seems to add precious information to the clinical pre-surgical scenario for decision making. Nevertheless, 3D printing was judged too slow for routine adoption.

scholarly journals Enhancing Traffic Safety with Mobile Applications

2016 ◽  
Vol 9 (3) ◽  
pp. 216
Author(s):  
H Kaartinen ◽  
J Jämsä
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Traffic Safety ◽  
Intelligent Transportation Systems ◽  
Mobile Applications ◽  
Data Transfer ◽  
Research Work ◽  
Transportation Systems ◽  
Point Of View ◽  
Time Data

Intelligent Transportation Systems (ITS) have great potential and market on modern traffic environment. Technologies of the day enable the real-time data transfer and presentation for the actors in traffic and outside of it. Inter-cognitive communication is a form of communication where an information system gathers data and processes it to a form of which users can benefit on their decision making. In this paper we will present how deploying new cognitive elements on mobile applications can increase traffic safety. The most important point of view in sharing the traffic data is how to present it for the driver and how to make the data transfer reliable and safe. New vehicles have built-in solutions, such as comprehensive infotainment systems, to present the information and warnings, but older vehicles do not have this option. Therefore the modern devices, such as smartphones and tablet computers can be utilized for these purposes. This paper describes Centria’s research work on developing mobile applications for improving the traffic flow and safety by real-time support for the driver’s decision making. Also, the data security has been studied and tested at Centria, and will be reported in this paper.

Enterprise Applications Integration Using Environment Based Design (EBD)

2011 ◽  
Author(s):  
Suo Tan ◽  
Hamzeh K. Bani Milhim ◽  
Bo Chen ◽  
Andrea Schiffauerova ◽  
Yong Zeng
Keyword(s):  
Business Processes ◽  
Low Cost ◽  
Research Work ◽  
Cost Effective ◽  
Semantic Integration ◽  
Point Of View ◽  
Business Strategies ◽  
Enterprise Applications ◽  
Applications Integration ◽  
Legacy Applications

Organizations tend to depend on their various legacy applications in supporting their business strategies and in achieving goals. The existing legacy applications are often from different vendors. In order for an enterprise to be efficient and cost-effective, their legacy applications should be seamlessly integrated within and beyond the enterprise. Some research work in Enterprise Applications Integration (EAI) technologies analyzed the problem from the technical point of view while others proposed models for business processes integration such as syntactic and semantic integration. In this paper the EAI is considered as a design problem and is analyzed from design point of view. Environment Based Design (EBD) methodology is applied to handle the integration problem by analyzing and clarifying the design requirements to generate appropriate solutions. A case study is provided to show how the EBD can be applied within a company to generate satisfactory EAI solutions with low cost, efficiency and scalability enhancement.

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