Browse Items (9795 total)
Sort by:
-
JP-DAP: An Intelligent Data Analytics Platform for Metro Rail Transport Systems
This paper deals with an intelligent data analytics platform-Jaison-Paul Data Analytics Platform (JP-DAP)-for metro rail transport systems. JP-DAP is intended to ensure smooth functioning, improved customer experience, ridership forecasting, and efficient administration of metro rail transportation systems by integrating and analysing its many data sources. It consists of a middleware which is built on the top of a Hadoop Distributed File System (HDFS) and Spark framework, along with a set of open-source software tools like Apache Hive, Pandas, Google TensorFlow and Spark ML-lib for real-time and legacy data processing. The benchmarking of JP-DAP was conducted using TestDFSIO and have found that it performs well according to industry standards. The specific use case for this project is Kochi Metro Rail Limited (KMRL). The analysis of Automated Fare Collection data from KMRL on JP-DAP framework have produced descriptive statistics visualisation of inflow and outflow analysis, travel patterns during weekdays and weekends, origin-destination matrix, etc.. Moreover JP-DAP framework is capable of producing short term passenger flow predictions using SVR machine learning algorithm with linear, radial basis function and polynomial kernels. Our experiments have shown that SVR linear kernel gives the most accurate results with the least errors in predicting the next day's passenger count using the previous five weekdays data. The station usage (one-to-all) prediction using Long Short-Term Memory (LSTM) is also integrated to this framework. The visualisation as well as analytical outcomes of JP-DAP framework have also been made available to the external world using a rich set of REST APIs and are projected on to a web-dashboard. 2000-2011 IEEE. -
JRHDLSI: An Approach Towards Job Recommendation Hybridizing Deep Learning and Semantic Intelligence
The requirement of the job for people and employees for employers are al-ways in demand. This is due to the lack of proper infrastructure to reduce the unmatching job application for employers and inappropriate job recommendations for people. This chapter proposes a strategic framework with machine learning and knowledge integration to increase accuracy in the provided recommendations and increase the chance of getting a job offer. The usage of'user's search data intends job recommended more in liking of the users, and the machine learning helps in finding the accurate job recommendation. The machine learning technique used here is Radial Basis Function Neural Net-work for the classification and Knowledge Integrated using Analysis of Variance - Web Point Wise Mutual Information and Kullback Leibler (KL) divergence. All the job providers ads are retrieved from the top websites using beautiful soup. The proposed JRHDLSI architecture achieved an accuracy of 94.99% which outperformed the baseline models and was much superior. 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) -
JUDE: An Ultraviolet Imaging Telescope pipeline
The Ultraviolet Imaging Telescope (UVIT) was launched as part of the multi-wavelength Indian AstroSat mission on 28 September, 2015 into a low Earth orbit. A 6-month performance verification (PV) phase ended in March 2016, and the instrument is now in the general observing phase. UVIT operates in three channels: visible, near-ultraviolet (NUV) and far-ultraviolet (FUV), each with a choice of broad and narrow band filters, and has NUV and FUV gratings for low-resolution spectroscopy. We have written a software package (JUDE) to convert the Level 1 data from UVIT into scientifically useful photon lists and images. The routines are written in the GNU Data Language (GDL) and are compatible with the IDL software package. We use these programs in our own scientific work, and will continue to update the programs as we gain better understanding of the UVIT instrument and its performance. We have released JUDE under an Apache License. 2017 Elsevier B.V. -
Jugaad in organizational settings: exploring the Jugaad leadership competencies
The Hindi term 'jugaad' is closely linked to frugal innovation. In resource-scarce environments, organizations can thrive by developing jugaad-related leadership abilities. Previous research on jugaad has focused primarily on individual problem-solving and overlooked the leadership skills necessary to implement it in organizational settings. This study employs a theoretical lens of leadership competency models, interpretive phenomenology, purposive sampling, and an inductive data-driven coding approach to explore the jugaad leadership competencies of 28 Indian business leaders and managers. The study presents the Jugaad Leadership Competency (JLC) model, identifying ten competency clusters exhibited by jugaad leaders. This is the first study to develop a model for jugaad leadership in organizational settings. In environments characterized by scarcity and intense competition, the JLC model can aid individuals and organizations in acquiring the necessary competencies for frugal innovation. The study evaluates the theoretical and practical implications of the findings, their transferability, and limitations and offers suggestions for future research. 2023, Springer Nature Limited. -
Juice Jacking: Security Issues and Improvements in USB Technology
For a reliable and convenient system, it is essential to build a secure system that will be protected from outer attacks and also serve the purpose of keeping the inner data safe from intruders. A juice jacking is a popular and spreading cyber-attack that allows intruders to get inside the system through the web and theive potential data from the system. For peripheral communications, Universal Serial Bus (USB) is the most commonly used standard in 5G generation computer systems. USB is not only used for communication, but also to charge gadgets. However, the transferal of data between devices using USB is prone to various security threats. It is necessary to maintain the confidentiality and sensitivity of data on the bus line to maintain integrity. Therefore, in this paper, a juice jacking attack is analyzed, using the maximum possible means through which a system can be affected using USB. Ten different malware attacks are used for experimental purposes. Various machine learning and deep learning models are used to predict malware attacks. An extensive experimental analysis reveals that the deep learning model can efficiently recognize the juice jacking attack. Finally, various techniques are discussed that can either prevent or avoid juice jacking attacks. 2022 by the authors. Licensee MDPI, Basel, Switzerland. -
Jurisprudential basis of the right to clean and healthy environment
Examining the basis of the right to a clean and healthy environment helps in an increased understanding of the nature of the right which in turn will further the job of devising effective strategies and policies to meet the interests of the environment and make the right a reality. This paper examines four strategies: Firstly protect environment rights by declaring it to be a right. This would protect it from mutilation at the hands of political processes, and thus would be a safer option, but its dimensions have not yet been crystallised. Secondly, it can be protected by making it part and parcel of human rights. Thirdly, the Interest Theory suggests that the interest of the environment must be protected for its own sake by creating such an interest. Fourthly, the notion of Intergenerational Responsibility which establishes that the present generation has an obligation/duty to preserve and protect the environment for a correlative similar right which the future generation enjoys. The article also examines the conflict between environment protection and developmental needs of humanity. Indian courts have referred to traditional Indian philosophy of 'Dharma' and have tried to adopt a balancing approach by integrating environment values with developmental values. Any theory that does not resolve the above conflict would clearly be insufficient. 2013 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore). -
K shell X-ray intensity ratios and vacancy transfer probabilities of Fe, Ag, and Te following electron capture decay
The K shell X-ray photons of Fe, Ag, and Te following the electron capture decay of Co57, Cd109, and I125, respectively, were detected using Si(Li) detector coupled to PC-based 8k multichannel analyzer employing a simple method suggested earlier by our group. The calculated K shell X-ray intensity ratios and vacancy transfer probabilities for these elements are compared with the theoretical values predicted by Scofield and with others' experimental values obtained via photoionization. It is found that the A? to A? X-ray intensity ratio of Fe is lower by 4.0%, while that of Ag and Te are greater by 7.9% and 19.1%, respectively, from the theoretical values. These deviations may be attributed to the exchange interactions occurring between the 3p-3d shell electrons as well as the recoil effect of the nucleus due to neutrino emission. 2014 Published by NRC Research Press. -
K shell X-ray intensity ratios, K-Li, K-L, and K-M vacancy transfer probabilities of Ba and Tl following internal conversion process
K shell X-rays of barium and thallium following internal conversion decay in Cs137 and Hg203, respectively, were detected using a Si(Li) X-ray detector coupled to PC-based 8k multichannel analyser employing the method suggested earlier by our group. The K shell X-ray intensity ratios and vacancy transfer probabilities for thallium and barium were calculated. The obtained results are compared with theoretical, semiempirical, and others' experimental results obtained via photoionization as well as decay processes. The effects of beta decay and internal conversion on X-ray emission probabilities are discussed. 2014 Published by NRC Research Press. -
K-shell fluorescence yields of barium and lanthanum
K-shell fluorescence yields for barium and lanthanum have been measured adopting simple 2? geometrical configuration and employing a weak 57Co radioactive source. A scintillation spectrometer with an NaI(Tl) detector of dimensions 44.5mm diameter0mm thickness was employed for the detection and measurement of radiation. The results obtained are in good agreement with the best-fitted values of Hubbell et al. (1994) and also with the other experimental values, indicating that our simple method can be extended to determine fluorescence parameters of high Z materials. 2011 Elsevier Ltd. -
K-shell jump ratio and jump factor of 3d elements
Employing a simple 2?-geometrical configuration method, K-shell absorption jump ratio and jump factor have been estimated in a few 3d elements viz. Co, Ni, Cu and Zn. The target elements in the form of thin foils were excited using 32.86 keV K X-ray photons from a weak137Cs radioactive source. The emitted K X-rays were detected using a low energy HPGe X-ray detector spectrometerand the K X-ray production cross-section and K X-ray intensity ratios for all the target elements were measured. Then, using the measured data, the K-shell absorption jump factor and jump ratios have been evaluated. The obtained results agree within the experimental uncertainties with previous values reported in the literature. 2018 Author(s). -
K-Shell X-Ray Fluorescence Parameters of a Few Low Z Elements
K-shell X-ray fluorescence parameters of low Z elements cobalt, nickel, copper, and zinc have been measured employing a simple method. These elemental targets were excited by using 32.86 keV barium K X-ray photons from a weak 137Cs ?-ray source, and the emitted K-shell X-rays from these targets were detected using a low-energy high-purity germanium X-ray detector spectrometer. The results are compared with the standard theoretical, semi-empirical, fitted values and with the others experimental values. 2018, Pleiades Publishing, Inc. -
K-shell X-ray intensity ratios and vacancy transfer probabilities of Pt, Au, and Pb by a simple method
The K-shell X-ray intensity ratios, radiative and total vacancy transfer probablities of platinum, gold, and lead are measured by employing the 2?-geometrical configuration and a weak gamma source, a simple method proposed previously by our group. The targets of Pt, Au, and Pb were excited using ?-rays of weighted energy 123.6 keV from a weak 57Co source and the emitted K-shell X-rays were detected using an HPGe X-ray detector spectrometer coupled to a 16k multichannel analyzer. The measured values of these parameters are compared with the theoretical values and experimental data of other researchers, finding a good agreement. Thus, the 2?-geometrical configuration method with a weak gamma source can be alternative simple method to measure various atomic parameters in the field of X-ray spectroscopy. 2014, Pleiades Publishing, Inc. -
K? to K? X-ray intensity ratio and KL vacancy transfer probability of Mn following electron capture decay
K? and K? X-rays of Mn following electron capture (EC) decay of55 Fe were detected using Amptek XR-100 T-CdTe X-ray detector spectrometer. Measured K? and K? X-ray intensities of Mn were used to determine the K? to K? intensity ratio and total KL total vacancy transfer probability. These values were compared with the theoretical, semiempirical, and others experimental values obtained via EC decay as well as photoionization. The X-ray intensity ratio of Mn was found to be higher by 1.5% from the relativistic Hartree-Slater theoretical value. This deviation may be attributed to the exchange interactions occurring between the 3p and 3d shell electrons as well as the recoil effect of the nucleus due to neutrino emission. 2023 The Author(s). -
Kaizen costing a management technique /
International Journal Of Business And Management Invention, Vol.4, Issue 9, pp.1-5, ISSN No: 2319-801X. -
Kakkot List- An Improved Variant of Skip List
Kakkot list is a new data structure used for quick searching in a well ordered sequence of list like Skip list. This ordered sequence of list is created using linked list data structure and the maximum number of levels here will be limited to log n in all input behavioral cases. The maximum number of items in each level is halved to that of previous levels and thus guarantees a fast searching in a list. The basic difference between Kakkot list and Skip list lies in the creation of levels and decision of when an item has to be included in the higher levels. In skip list the levels are created and items are added to each level during the insertion of an item where as in Kakkot list this will be done at the time of searching an item. This modification have made drastic impact in searching time complexity in the Kakkot list. Another issue in Skip list is that it is not cache friendly and does not optimize locality of reference wherein this problem is also addressed in Kakkot List. 2020 IEEE. -
Kannada script recognitions from scanned book cover images
Text extraction from the images plays a vital role in providing valuable information. Text extraction from images is still a challenging area specially extracting text from regional scripts of India like Kannada, Malayalam etc. Most of the times the images contain complex background then the cropping of text becomes even more challenging for extracting features. The input image is a scanned document images of Kannada book cover which is scanned with flatbed scanner of 400dpi resolution. The data sets are created by dividing the original images into number of varied size of blocks. Both spatial and frequency features are extracted for classifying images. This paper aims at recognizing the scanned images block which contains text or not by using multiple feature approach. The classification is analysed using Multilayer perceptron, Kstar and KNN. Experiments are performed on different sets of scanned documents of text cover images. Compare to all the classifiers KNN has given the encouraging results. Research India Publications. -
Kannada translation and validation of Wellman and Liu's theory of mind scale and children's social understanding scale in preschoolers
Background: Assessing theory of mind (ToM) in children is crucial for understanding social cognition. Wellman and Liu's ToM scale and the Children's Social Understanding Scale (CSUS) have been used to study ToM in children but are not available in the local language. Aim: This study aims to translate both scales into Kannada and validate them in preschool children. Methods: Following the rigorous WHO protocol, we meticulously translated and back-translated Wellman and Liu's ToM and CSUS into Kannada with the help of bilingual experts. Validation involved administering both scales to 118 preschool children aged 3 to 6 years from diverse urban and rural backgrounds in a cross-sectional study, ensuring the scales' applicability across different settings. Results: The Cronbach's alpha values for Wellman and Liu's ToM and the CSUS were 0.769 (95% CI 0.698 to 0.828) and 0.983 (95% CI 0.978 to 0.987), respectively, indicating high internal consistency. The test-retest reliability for Wellman and Liu's ToM scale domains ranged from 0.74 to 0.95, and for the CSUS, it was 0.99, demonstrating good reliability. Pearson's correlation between the domains of two scales ranged from 0.32 to 0.69, suggesting a moderate relationship. Conclusion: Our study findings demonstrate that Kannada translations of Wellman and Liu's ToM and CSUS have good internal consistency, test-retest reliability, and construct validity. These tools will be valuable for understanding social cognition in preschool children. 2024 Indian Journal of Psychiatry. -
Keeladi vs Vedic History: The Battle for Indias Past
Keeladi is not simply about pottery shards and drainage systems; it is about who gets to shape the story of India. -
Kerala Development and the Attapadi Adivasi
The development experience of the state of Kerala in southwest India is based generally on democratic principles of equality and popular participation. This article focuses on the lives of the Adivasi1 people of Attapadi in the Palakkad district of Kerala. It argues that the state of Kerala largely treats the Adivasis as secondary citizens and ignores their right to be socially and economically empowered. The state of Kerala takes pride in its positive ranking on human development and social progress indexes but has not done enough to stop Adivasi infants from dying of malnutrition, and Adivasis demands for land rights have been disregarded. As a result, they are forced to live obscure lives in poverty and generally unable to influence their sociopolitical sphere. 2023 The Author(s). -
Kerala flood : Foreign aid and cooperative federalism /
International Journal of Research And Analytical Reviews (IJRAR), Vol.5, Issue 3, pp.464-467, ISSN No: 2348-1269.