Automatic Detection of Career Recommendation Using Fuzzy Approach

2018 ◽  
Vol 11 (4) ◽  
pp. 99-121 ◽  
Author(s):  
Rajalakshmi Krishnamurthi ◽  
Mukta Goyal

In today's era where personalization of the learning material is a key factor towards the success of learning goal for any student according to their personality traits, learning style and cognitive style, choosing a career according to personality traits is also become a key to success of job satisfaction. Hence, this article proposes the recommendation of career on the basis of candidate personality attributes. In this article, Holland's theory is used to detect candidate's personality. Weights are assigned to each personality traits to calculate the scores are calibrated manually with help of research work done in this domain before and the feedback. A survey is conducted to test the accuracy of proposed method on 217 responses. The result shows the 74.35% candidates are satisfied with the recommended career and average rating for personality traits score was 3.58/5. This article also suggests a fuzzy approach to automatic detection of career recommendation based on personality score.

Author(s):  
Kumari Anshu ◽  
Loveleen Gaur ◽  
Arun Solanki

Chatbot has emerged as a significant resolution to the swiftly growing customer caredemands in recent times. Chatbot has emerged as one of the biggest technological disruption. Simply speaking, it is a software agent facilitating interaction between computers and humans in natural language. So basically, it is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the easiest and simplest means enable interaction between the retailers and the customers. </p><p> • Purpose- Most of the research work done in this field is concerned with their technical aspects. The recent research on chatbot pay little attention to the impact it is creating on users’ experience. Through this work, author is making an effort to know the customer-oriented impact that the chatbot bear on the shoppers. The purpose of this study is to develop and empirically test a framework that identify the customer oriented attributes of chatbot and impact of these attributes on customers. </p><p> • Objectives- The study intends to bridge the gap between concepts and actual attributes and applications on the subject of Chatbot. The following research objectives can address the various aspects of Chatbot affecting the different characteristics of consumers shopping behaviors: a) Identify the various attributes of chatbot that bears an impression on consumer shopping behavior. b) Evaluate the impact of chatbot on consumer shopping behavior that leads to the development of chatbot usage and adoption among the customer. </p><p> • Design/Methodology/Approach – For the purpose of analysis, author has administered Factor analysis and Multiple regression using SPSS version 23 for identification of various attributes of Chatbot and knowing their impact on shoppers. A self-administered questionnaire from the review of literature is developed. Industry experts in the field of retailing and academician evaluate the questionnaire. Primary information from the respondents is gathered using this questionnaire. The questionnaire comprises of Likert scale on a scale of 1 to 5 where 1 stands for strongly disagree and 5 stands for strongly agree. Data is collected from 126 respondents, out of which 111 respondents were finally considered for study and analysis purpose. </p><p> • Findings – The empirical results show that the study identifies various attributes of chatbot like Trust, Usefulness, Satisfaction, Readiness to Use and Accessibility. It is also found that chatbot is really influencing the customers in providing them with shopping experience, which can be very helpful to the businesses for increasing the sales and creating repurchase intention among the customers. </p><p> • Originality/value – The recent research on chatbot pay little attention to the impact it is creating on customers who are actually interacting with it on regular basis. The research paper extends information for understanding and appreciating the customer oriented attributes of artificially intelligent Chatbot. In this regard, the author has developed a model framework and proposed the attributes identified. Through the work, author is also making an effort to test empirically the impact of the identified attributes on the shoppers.


2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Ranjit K. Nath ◽  
M. F. M. Zain ◽  
Abdul Amir H. Kadhum

The addition of a photocatalyst to ordinary building materials such as concrete creates environmentally friendly materials by which air pollution or pollution of the surface can be diminished. The use of LiNbO3photocatalyst in concrete material would be more beneficial since it can produce artificial photosynthesis in concrete. In these research photoassisted solid-gas phases reduction of carbon dioxide (artificial photosynthesis) was performed using a photocatalyst, LiNbO3, coated on concrete surface under illumination of UV-visible or sunlight and showed that LiNbO3achieved high conversion of CO2into products despite the low levels of band-gap light available. The high reaction efficiency of LiNbO3is explained by its strong remnant polarization (70 µC/cm2), allowing a longer lifetime of photoinduced carriers as well as an alternative reaction pathway. Due to the ease of usage and good photocatalytic efficiency, the research work done showed its potential application in pollution prevention.


2020 ◽  
pp. 341-348
Author(s):  
Lilly E. Both ◽  

In this study, 106 women (M age = 23 years) completed a series of questionnaires online assessing personality traits and facets (subscales), learning preferences (Activist, Reflector, Theorist, Pragmatist), and attitudes toward learning preferences.The vast majority of participants in this study believed that students are more likely to have academic success when teaching and learning strategies match their learning style. However, the results of several hierarchical regression analyses found that a large proportion of variance in learning style was accounted for by personality traits or facets. For example, 43% of the variance in the Activist Learning Style was accounted for by higher scores on Extraversion, and lower scores on Conscientiousness and Negative Emotionality. When personality facet scores were used as predictors, the proportion of variance jumped to 55%. Similarly, between 27-31% of the variance in Reflector, Theorist and Pragmatist Learning Style was accounted for by personality facet scores alone. The results are discussed in terms of learning style attitudes and myths pervasive in the literature, and the need for evidence-based practices.


2020 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Iis Sundari ◽  
Lianti Lianti ◽  
Hidaya Tul Karima ◽  
Yulita Triadiarti ◽  
Tapi Rumondang Siregar

Understanding of learning material, especially accounting material, has an impact on the achievement of students' learning outcomes. The research aims to look at the factors that influence the learning approach of Unimed accounting education students. This research was carried out in the FE UNIMED using questionnaires distributed to students of the Accounting Education Program batch of 2015 and 2016, amounting 60 and 68 students from each batch. The selection of batches is based on the type of curriculum applied to each batch, namely the Indonesian National Qualification Framework (abbreviated as KKNI) for 2016 and the non-KKNI for 2015. The approach used in this study was a qualitative approach, with the analysis used was descriptive statistical analysis on factors such as interest, motivation, learning style, anxiety, institutional, and learning strategies. The descriptive analysis shows that except for the interest indicating that non-KKNI students have a higher interest in applying a variety of learning approaches of Non-KKNI students than their KKNI peers, other factors are similar between students from two batches.  Keywords: Interest; Motivation; Learning Style; Anxiety; Institutional. 


2018 ◽  
Vol 28 (1) ◽  
pp. 3-20 ◽  
Author(s):  
Sreekanth Kolledath ◽  
Kamlesh Kumar ◽  
Sarita Pippal

This paper is a survey article on queueing models with standbys support. Due to many real life applications of queueing models, it has become an interesting area for researchers and a lot of research work has been exerted so far. It is worthwhile to examine the performance based analysis for queueing modelling system as it provides a valuable insight to the tractability of the system and accelerates its efficiency. The provision of standbys to the queueing modelling of a real system is needed for smooth functioning in the presence of its unavoidable failures. The present survey provides a dig into the research work done, and emphasis the sequential developments on queueing models with standbys support.


X ◽  
2020 ◽  
Author(s):  
Alessandra Cattaneo ◽  
Laura Baratin

The castle Colonna of Arnara: from the restoration of the monument to the enhancement of the ancient village and its territoryThe castle of Arnara, is located in Ciociaria in southern Lazio, in what was once the feud of the Conti of Ceccano. For the territory it is the most important monumental complex of medieval architecture. In fact, despite its small size, it is one of the few examples of fortified architecture still original in its essential lines. This castle represents an exceptional case of sedimentation and stratification, which even today, from its reading, allows us to reconstruct both its historical events and those related to the urban development of the adjacent historic village. Moreover it can be considered of priority importance also from the urbanistic point of view because it represents the first historical nucleus of Arnara. Unfortunately, today, the castle is in a bad state of conservation. With the passing of time its conditions have become more and more aggravated also because of the complex events linked to the various passages of property, of private and public nature, which have strongly influenced the management of the monument. The study of the castle of Arnara is part of the national and international debate that considers participation a key factor for the sustainable enhancement of the cultural heritage, because it promotes greater awareness of its social and economic value. The objective of the research work is to develop, taking the castle as a case study, a new approach that sees cultural heritage (tangible and intangible) as an irreplaceable heritage of knowledge and as a precious resource for economic growth, employment and social cohesion; therefore a cultural heritage seen as a driving force. In the specific case of Colonna Castle, attention has been focused on the importance of being able to activate virtuous circles around this very important place of culture, enhancing its role as a centre of knowledge and incubator of creativity and social innovation.


Hallazgos ◽  
2012 ◽  
Vol 9 (18) ◽  
Author(s):  
José Arlés Gómez Arévalo

This article presents the results of work done by the research group Science- Spirituality, whose third phase is called The Concept of Natural Harmony in Regards to the Man-nature Relationship: A Dialogue between Western and Eastern Cultures. This phase is an attempt to borrow from emerging Western epistemologies together with Far East traditions,<br />primarily the ancient Chinese Taoist tradition. Taking as a starting point the contemporary mankind crisis which has been proclaimed by philosophy, science and culture and regarding that which thinkers and scientists alike, such as Husserl and Prigogine have concluded, the limitations of modern-thinking are highlighted and a thorough revision of this thinking has been proposed. This revision must be done based on<br />the sense of humanity and on the dialogue between sciences and other cultures. In this case: Far Eastern culture.<br />This research work is built upon the idea of examining our perception concerning Taoist culture, assuming that this culture is reflected in its narratives and fables and that they offer an opportunity to gain new insights and meanings regarding the world and some of the issues faced by contemporary humankind. Thus, the category crisis becomes particularly<br />important since it is understood as a challenge or opportunity in an increasingly globalized and technology-oriented world marked by problems such as inequality, exclusion, paradoxes and the contradictions of the human being, including himself, others and furthermore a permanent critical relationship to nature from which he or she has been disconnected<br />in a physical, spiritual and energetic way (Guenon, 2010, 34).


2020 ◽  
Vol 5 (2(71)) ◽  
pp. 4-7
Author(s):  
Cheng Guo ◽  
Yin Qun

This research work analyzes the characteristics of American public diplomacy from the perspectives of smart power theory, comparing China and the United States’ smart power strategy. The article revealed that globalization and the process of technological evolution have led profound changes in the contempopary world politics and international relations, the smart power factors such as culture, science, technology, and information have become increasingly prominent in political science. These factors have not only created the fundamental theory of smart power, but also affected the form and definition of diplomacy. The research methodology is based on a complex combination of scientific methods, mainly comparative, analytical, systematic. The obtained conclusions can be referred that smart power as a key factor, has become a new theoretical perspective for understanding changes in contempopary international relations and foreign policy. It has naturally become the theoretical support for public diplomacy, meanwhile public diplomacy itself is also an important content and strategic path for smart power construction.


2009 ◽  
Vol 23 (4) ◽  
pp. 294-298
Author(s):  
Amit Tagare ◽  
Umesh Vaidya

Extrauterine growth retardation is a major clinical problem in preterm infants. Aggressive nutritional interventions may play an important role to fight this prevalent problem. Parenteral nutrition is almost indispensable part of aggressive nutritional approach in neonates, because of certain limitations of enteral route during first few days of life. Formidable research work done in developed world has resolved certain important issues like dosage regimens. However, still we need to resolve quite a few unanswered queries. This is especially true for Indian context where we deal with a different population of neonates than the developed world. In this article we will discuss both the resolved and unresolved issues regarding neonatal parenteral nutrition and the research priorities for us.


Author(s):  
Baddrud Zaman Laskar ◽  
Swanirbhar Majumder

Gene expression programming (GEP) introduced by Candida Ferreira is a descendant of genetic algorithm (GA) and genetic programming (GP). It takes the advantage of both the optimization and search technique based on genetics and natural selection as GA and its programmatic Darwinian counterpart GP. It is gaining popularity because; it has to some extent eradicated the ‘cons' of both while keeping in the ‘pros'. It is still a new technique not much explored since its introduction in 2001. In this chapter both GA and GP is first discussed followed by the elaborate discussion of GEP. This is followed up by the discussion on research work done is different fields using GEP as a tool followed up by GEP architectures. Finally, here GEP has been used for detection of age from facial features as a soft computing based optimization problem using genetic operators.


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