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A framework for integrating nested queries in natural language interfaces to databases
To translate Natural Language (NL) statements into Structured Query Language
(SQL) queries, different methods and systems were proposed in the past. This work presents a framework for automating the translation of Data Requirement
Specifications (DRS) given by enterprise Business Users in NL into SQL queries,
focusing on requirements that result in the generation of nested SQLs. The framework takes the business user’s DRS given in English as input and generates an initial query sketch by employing semantic parsing. This initial sketch is further refined and completed into a well-formed SQL by consulting the Database Schema. It performs the translation by combining NL processing techniques with Query Sketch generation methods and refines it by employing Repair techniques or extends it further. The framework suggests using Lambda expressions for intermediate representation and employs standard operations of Lambda Calculus for performing the required transformations needed for translation. Lambda Context Calculus (LCC) provides the operational semantics and the relevant methods needed in transforming NL statements into SQL, preserving the integrity and compositionality24 of expressions in every step of the translation. Though Lambda Calculus is found to be effective in representing the intermediate expressions and assists in performing the transformations that are needed for translating specific predicates into SQL, its inflexibility in combining parallel computations is a constraint. To represent clauses that are in parallel or are in
pipeline, and to perform the required transformations on the intermediate expressions involving these, more advanced programming constructs are needed. It also adopts functional programming techniques to deal with complex scenarios involving nested queries. This work recommends the use of some advanced language constructs, the Fixed-point Combinators11 and Monad Comprehensions20 for performing the required transformation at the intermediate language level and adopts functional programming techniques for the required syntactic sugar. -
A Framework for Integrating Nested Queries in Natural Language Interfaces to Databases
To translate Natural Language (NL) statements into Structured Query Language (SQL) queries, different methods and systems were proposed in the past. This work presents a framework for automating the translation of Data Requirement Specifications (DRS) given by enterprise Business Users in NL into SQL queries, focusing on requirements that result in the generation of nested SQLs. The framework takes the business user s DRS given in English as input and generates an initial query sketch by employing semantic parsing. This initial sketch is further refined and newlinecompleted into a well-formed SQL by consulting the Database Schema. It performs newlinethe translation by combining NL processing techniques with Query Sketch generation newlinemethods and refines it by employing Repair techniques or extends it further. The newlineframework suggests using Lambda expressions for intermediate representation and newlineemploys standard operations of Lambda Calculus for performing the required newlinetransformations needed for translation. Lambda Context Calculus (LCC) provides the newlineoperational semantics and the relevant methods needed in transforming NL statements newlineinto SQL, preserving the integrity and compositionality24 of expressions in every step of the translation. Though Lambda Calculus is found to be effective in representing the intermediate expressions and assists in performing the transformations that are needed for translating specific predicates into SQL, its inflexibility in combining parallel computations is a constraint. To represent clauses that are in parallel or are in pipeline, and to perform the required transformations on the intermediate expressions involving these, more advanced programming constructs are needed. It also adopts functional programming techniques to deal with complex scenarios involving nested queries. -
Determination of thallium in environmental samples by surfactant assisted dispersive liquid-liquid microextraction combined with first order derivative spectrophotometry /
European Journal Of Chemistry, Vol.6, Issue 2, pp.420-425, ISSN No:2153-2257 (Online) 2153-2249 (Print) -
Highly selective first order derivative spectrophotometric determination of osmium(VIII) using anthranilic acid as a chromogenic reagent /
Indian Journal Of Chemical Technology, Vol.22, Issue 5, pp.234-240, ISSN No: 0975-0991 (Online), 0971-457X (Print). -
Development of Efficient Biometric Recognition algorithms based on Fingerprint and Face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge based security) and the ID Cards (token based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or newlinebehavioral traits associated with the person. newlineThe biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The newlinephysiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject s body. But the behavioural biometric are more concerned with mood and environment.Chapter one presents the introduction to biometrics and its various newlinetraits. Further description like structure of the biometric system, different newlineapproaches are discussed. Also the design issues in biometric system such as universality, collectability, distinctiveness, permanence, acceptability, newlineuniqueness, performance, circumvention etc., are discussed. Chapter two gives a detailed survey of biometric techniques. It includes the literature survey of fingerprint and face biometric traits and various approaches. -
Development of efficient biometric recognition algorithms based on fingerprint and face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge – based security) and the ID Cards (token – based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or behavioral traits associated with the person. The biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The physiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial
Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject’s body. -
Green Synthesis of Nanoparticles Leading to the Biocontrol of Aedes Aegypti
Mosquitoes are the potential vectors of many diseases such as malaria, dengue, brain newlinefever, etc. There is a need to check the proliferation of the population of vector newlinemosquitoes to reduce vector-borne diseases by appropriate control methods. Nanotechnology, a promising field of research, opens up in the present decade and is expected to give major impulses to technical innovations. Over the past few decades, nanoparticles of noble metals such as silver exhibited significantly distinct physical, chemical and biological properties. Presently, there is a need for increased efforts to develop newer and more effective methods to control mosquito vectors. Due to different technical and operational reasons, the existing chemical and biological methods are not as effective as in the earlier period. Therefore, this study is designed to extract silver newlinenanoparticles from plant, fungal and bacterial species and assess their impact on the third and fourth-instar mosquito larvae and the adult mosquito (Aedes spp). The study has formulated a gel material that is composed of nanomaterials that exhibited promising properties to develop a nano gel product. The study is designed in a way to have an impact on the control of mosquito larvae using biologically synthesized nanoparticle formulations. Green synthesis is expected to show a higher yield of nano products that can be formulated in various forms to standardize the biocontrol of mosquito species. Bioinformatic studies revealed the good binding potential of the extracted bio compounds against the juvenile hormone binding proteins in A. aegypti. The study deduced meaningful outcomes that can benefit the environment by controlling the mosquito population and thereby reducing disease transmission in many developing countries. -
A Study on the Role of Tea Tourism in Assam
Tourism Development Journal Vol. 10, Issue 1, pp. 1-14, ISSN No. 0975-7376 -
Antecedents and Outcomes of Employee Engagement : A Study on Employees in Travel Organizations
Employee engagement is becoming very vital in the recent years because organizations with engaged employees tend to out-perform than employees who are disengaged. The outcomes of engaged employees are higher performance, lower turnover, increased profitability and many more. However there are some industries ignorant and neglect the importance of having engaged employees. Hence it is necessary to conduct more research on employee engagement which create more awareness to the organizations about the prominence of focusing on employee engagement and also augment to the existing literature. The study was conducted on a sample size of 433 employees working in travel organizations set up in Bengaluru and tested the relationship of psychological climate and psychological capital (antecedent variables) has on employee engagement and in turn its newlinerelationship with organizational citizenship behavior and intent to stay (outcome newlinevariables). The study also tested the mediating relationship of employee engagement newlinebetween the antecedent and outcome variables. Results indicated that psychological newlineclimate and psychological capital has a significant and positive relationship on employee engagement and with respect to outcome variables it was determined that higher the engagement level it leads to higher level of organizational citizenship behavior and intent to stay. Results of the study also indicated that employee engagement mediates the relationship between the antecedent and outcome variables. -
A Study on the Effect of Food Advertisements on Children and their influence on Parents Buying Decision
International Journal of Research in Commerce and Management Vol. 3, No. 7, pp 92-104, ISSN No. 0976-2183 -
Synthesis and Characterixation of Fluorinated Superconducting Y3Ba5Cu8Oy Compound
International Journal of Engineering Research and Applications, Vol-3 (1), pp. 927-930. ISSN-2248-9622 -
60Co gamma irradiation and annealing effects on transport properties of antimony telluride platelets grown by physical vapor deposition
Physical vapor deposition method was employed to deposit antimony telluride (Sb2Te3) crystals in a dual-zone furnace. The microstructure, surface topography and composition of samples were characterized using X-ray diffraction, atomic force and scanning electron microscopy. Seebeck coefficient (S?c), electrical conductivity (??c) as well as power factor (PF) were enhanced for pure Sb2Te3 samples upon annealing, and the samples annealed at 473 K exhibited the highest PF of 3.16 10-3 W m-1K-2 with an enhancement of 22% in the figure of merit (Z). When the delivered dose of 60Co gamma radiation was increased from 0 to 30 kGy in the stoichiometric crystals, ??c decreased due to the decrease in mobility. As a result of the increase in S, PF and Z improved by 12.11 and 13.7%, respectively, in the 30 kGy gamma-irradiated crystals. Both RH (B?c) and S?c were positive, suggesting that the prepared Sb2Te3 crystals retained the p-type semiconductivity after these treatments. The Chinese Society for Metals and Springer-Verlag 2015. -
A Comprehensive Review on the Electrochemical Sensing of Flavonoids
Flavonoids are bioactive polyphenolic compounds, widespread in the plant kingdom. Flavonoids possess broad-spectrum pharmacological effects due to their antioxidant, anti-tumor, anti-neoplastic, anti-mutagenic, anti-microbial, anti-inflammatory, anti-allergic, immunomodulatory, and vasodilatory properties. Care must be taken, since excessive consumption of flavonoids may have adverse effects. Therefore, proper identification, quantification and quality evaluations of flavonoids in edible samples are necessary. Electroanalytical approaches have gained much interest for the analysis of redox behavior and quantification of different flavonoids. Compared to various conventional methods, electrochemical techniques for the analysis of flavonoids offer advantages of high sensitivity, selectivity, low cost, simplicity, biocompatibility, easy on-site evaluation, high accuracy, reproducibility, wide linearity of detection, and low detection limits. This review article focuses on the developments in electrochemical sensing of different flavonoids with emphasis on electrode modification strategies to boost the electrocatalytic activity and analytical efficiency. 2022 Taylor & Francis Group, LLC. -
Adapting Employee Engagement Strategies Amid Crisis: Insights from the COVID-19 Pandemic
Crises are unpredictable events that have the potential to strike at any moment, causing significant disruptions to work, daily routines, and the normal course of life. The COVID-19 Pandemic served as a facilitator for transformative changes in the way we work, shifting to an era of remote and flexible work arrangements across industries. This crisis underlined the importance of employee engagement and organizational culture-building in navigating unforeseen situations. As organizations prepare for the future, it becomes crucial to anticipate and adapt to potential crises that may arise. The effect of the pandemic varied from industry to industry. When the technology industry worked towards creating a virtual workspace, the production industry strived to continue production without disruption. However, irrespective of the industry, HR teams across the board were dedicated to identifying and addressing the challenges posed by the crisis. They have worked tirelessly to ensure employee engagement remains a priority. This qualitative study explores the challenges encountered by HR teams during the pandemic and explores the strategies and policies they adopted to foster employee engagement. The data was collected through an in-depth interview with 39 HR Practitioners from different industries. The significant challenges included the need to cultivate a sense of community, navigate muddled up HR processes, sustain productivity amid disruptions, and prioritize employee wellness. To provide a comprehensive analysis, this study examined industry-specific approaches, employing within-case analysis to understand key strategies in communication, rewards and recognition, employee benefits, wellness initiatives, and fostering an enjoyable virtual workplace. This study offers a forward-looking perspective and serves as a guide for organizations aiming to thrive in times of uncertainty, ensuring that employee engagement remains a strategic priority regardless of the crisis at hand. 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
Predicting Employee Attrition Using Machine Learning Algorithms
Employees are considered the foundation of any organization. Due to their importance, the Human resources department implements various policies to sustain them. Yet the attrition rate in any organization is increasing yearly. The attrition rate signifies the number of employees who leaves a firm without being replaced. It is regarded as a well-known issue that requires the administration to make the best choices to retain highly competent staff. It is interesting to note that artificial intelligence is frequently used as a successful technique for foreseeing such an issue. This review paper aims to study the different machine learning approaches that predict employee attrition and factors influencing an employee to attrite from an organization. A Hybrid model comprising the various ensemble models is proposed to predict attrition at its earliest. The forecasted attrition model aids in not only taking preventive action but also in improving recruiting choices and rewarding top performers who contribute to the company's success. 2022 IEEE. -
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Food quality traceability prototype for restaurants using blockchain and food quality data index
As competition between organizations are evolving into competition between supply chains, to survive and indeed grow, it is necessary to deliver added value to customers. Traceability has emerged as one of the key measures of operational efficiencies within supply chains and ultimately, customer service. Over the years, organizations have deployed number of methods in delivering food traceability. This paper examines major methods of food traceability currently in existence and proposes a restaurant prototype for implementing more reliable food traceability using Blockchain and product identifiers. The prototype captures data from various stakeholders across the food supply chain, segregates it and finally, applies the Food Quality Index (FQI) algorithm to generate an FQI value. The FQI value helps in identifying whether the food is good for consumption on specified parameters. FQI value is generated based on extant standard storage and handling regulations specified by food safety authorities, and checks whether value so derived, is within the permissible range. The prototype helps in grading food quality for human consumption besides strengthening food (product) traceability. This prototype can be customized to address future requirements of traceability triggered through new information emanating from any stakeholder or the node in the supply chain. 2019 Elsevier Ltd -
Aiming at digital health via mHealth application for generation Y post-pandemic scenario
Medical and health products have become a part of our lives. A health-conscious .society is the aftermath of the pandemic. The increasing role of technology has pushed people to online alternatives for medical services, progressing towards digital health. This research thus contributes to the nascent literature on the impact of mHealth apps and the consumption pattern in Bangalore in the post-pandemic scenario. This research investigates from the perspective of usage, privacy, and affordability of the mHealth apps. Results suggest that usage is positively affected by the affordability and privacy of these apps. Firstly, app developers could use the findings for different digital health marketing strategies and implementations for the mHealth app. Secondly, academics can look at other aspects such as the knowledge people possess regarding apps and their proficiency in accepting technology. Finally, the policy discussion makers can work on concerns of affordability and privacy to cater to the more significant population segment. 2023 by IGI Global. All rights reserved. -
Transforming through dialogue in Bernard Malamud's the assistant
This paper investigates the importance and relevance of dialogue in interpersonal relationship and argues that the authentic interpersonal relationship is essentially dialogic and transforming. The importance and the transforming effects of dialogue are explored through an analysis of Bernard Malamud's novel The Assistant. An attempt is made to understand the relationship between philosophy and literature while at the same time an interrogation is made to analyse the role of dialogue in philosophy and literature. For this it makes use of the Philosophy of Dialogue proposed by Martin Buber and Emmanuel Levinas. The analysis shows that dialogue acts as a medium through which human beings interact and it has the potential to transform people. The results of this study clearly emphasize the possibility of using dialogue as a tool for transformation in day to day life. 2017 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
Humour as a moderator of stress and defence based coping mechanisms among the youth of Kerala, India
The goal of this study was to examine the effect of the moderators of adaptive and maladaptive humour on stress and on the four levels of defence based coping mechanism amongst the youth of Kerala, India. Four hundred and fifty-three youth between the age of 18 and 40, selected from two different cities of North Kerala, India (Calicut, Malappuram) and Central Kerala, India (Cochin, Trissur), were asked to fill out three questionnaires assessing stress, coping and humour. Pearson's test of product-moment correlation indicated that stress had a positive and moderate statistically significant correlation with the first three levels of defence based coping mechanism (pathological defences, immature defences and neurotic defences). Furthermore, there was a positive and weak statistically significant correlation between stress and level-IV coping (mature defences). When positive and moderate correlation was found for stress with maladaptive humour, no significant correlation was found with adaptive humour. When coping was studied in relationship with humour, a negative and weak statistically significant correlation was found for level-I coping (pathological defences) with adaptive humour, whereas a positive and moderate statistically significant correlation was found with maladaptive humour. Here level-IV coping (mature defences) was found to have a positive and moderate statistically significant relationship with adaptive and maladaptive humour. Moderator analysis showed that maladaptive humour moderated the association between stress and four levels of defence based coping mechanism. The study implied that youth should be trained to use more of mature means of coping and adaptive humour styles in life. Universiti Putra Malaysia Press