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Journey to Transportation and Logistics Management Using Drone
The speedy adoption and amalgamation of drone technology in every sector of life have correlated environmental implications. It has come to reality due to revolutionization on the technology front and the movement for a digitized world by adopting digitization in the course of action. The drones have the capacity to decrease the rate of carbon emissions at significant levels in transportation and logistics management. So, this is becoming the need of an hour to apply the technology for the well-being of an individual. The comprehensive study and assessment in this chapter will address the implications of an environment connected to drone-based transportation and logistics operations. It will comprise the assessment based on academic studies, industry reports, and environmental assessments in terms of carbon emissions, energy consumption, and ecological footprint. The chapter will highlight the concerns and contributions in view of mitigating the environmental implications linked with the deployment of drones in transportation and logistics, enabling stakeholders to develop strategies that foster sustainability in the industry. 2026 Scrivener Publishing LLC. -
Journey toward Internet of Bio-Nano Things: evolution, trends, and future challenges
The Internet of Bio-Nano Things (IoBNT) is a pioneering vision of embedding biological components into the existing network of interconnected nanodevices to create sophisticated webs of nano-scale biological and artificial components. This framework extends the conventional Internet of Things architecture to include biological components to facilitate new relationships between artificial nano-scale devices and biological systems. IoBNT enables unprecedented functionalities in healthcare, environmental monitoring, agriculture, and food protection through multiple communication channels, including molecular communication, THz-band electromagnetic nanocommunication, acoustic nanocommunication, and FRET-based nanocommunication. Nonetheless, there are still many issues to be solved in the areas of nanonetwork implementation, bio-cyber interface development, big data analytics, security, energy harvesting, and biocompatibility. Some of the potential countermeasures to security risks include device hardening, cryptographic mechanisms, external device delegation, intrusion detection, and hardware-based solutions. Although IoBNT presents a great prospect for change across various sectors, there is a need for more research to resolve technical, biological, and security issues so that it can be adopted in real life. 2026 Elsevier Inc. All rights reserved.. -
Journeying through the Indian railways in around India in 80 trains (2012) by monisha rajesh and chai, chai: Travels in places where you stop but get never off (2009) by bishwanath ghosh
An Indian train is a space that exemplifies a true sense of transient cultural pattern as it travels through different states of India constantly assimilating people of diverse cultures. In this liminal space, a passenger travels from known to unknown in terms of geography, culture, language, cuisine, sartorial configuration and psychological makeup. Indian Railways offers an insightful analysis of cohabitation - the conflict and the coexistence of people amidst cultural differences.An Indian train is an exemplar of an accurate secular structure, blurring the lines of discrepancies based on religion, caste, gender, sex and sexuality. Prejudices that are evident in spaces relatively marked by certain spatial permanence dilute in a train. A provisional spatial arrangement of a train therefore questions the idea of tolerance and intolerance compared to that of permanent arrangement. As the Indian train incorporates people of all ages and territories, the train is a specimen of the concept of Bakhtinian polyphony, wherein the dialogues occurring between passengers represent varied consciousness. Thus, a train travelogue encompasses unmerged voices, each carrying a unique conscious design. The people travelling in an Indian train are separated on one single ground: economy. Therefore, economic factor becomes an overarching pattern of base to assign a certain culture in a superstructure to each class and each offers a unique perspective to the travelogue. This paper will analyze the trope of the train in two Indian travelogues based on culture, Marxist economic structure, Bakhtinian concept of polyphony, secularism and the idea of tolerance. AesthetixMS 2020. This Open Access article is published under a Creative Commons Attribution Non-Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For citation use the DOI. For commercial re-use, please contact editor@rupkatha.com. -
Joycean novels: A broad secularizing project
This paper discusses how the Irish novelist James Joyce used the Novel form as an interface of religion and secularism in fiction. The secularism of his novels is a nuanced, complex project, as he was deeply haunted by the fabric of religious upbringing which he had only partially disowned. Joyce's works as well as life reflect an ambiguous relationship to religious texts, themes, and institutions. A non-teleological concept of modernity is what is present in the works of Joyce especially in his novels, A Portrait of the Artist as a Young Man and Ulysses. Here, the secular and the religious exist in an intimately antinomian, mutually defining opposition in many aspects of cultural life, including literature. 2015 Journal of Dharma: Dharmaram Journal of Religions and Philosophies (DVK, Bangalore), ISSN: 0253-7222. -
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). -
Just Another Way to Track? Exploring the Critical Dimensions of Wearable Technologies Usage in Workplace Monitoring
With three main goals in mind, this critical research paper raises concerns about the widespread use of wearable technology for workplace surveillance. The first goal concerns with the examination of the ethical and moral implications of using wearable technology in work environments. Informed permission, privacy concerns, data ownership, and the possibility of discriminatory behaviors must all be carefully examined. For the second goal, the authors delve into the implications constant monitoring affects employees' physical and mental health. Examining the possibility of elevated stress, burnout, and decreased job satisfaction as a result of ongoing observation and performance pressure is part of this. Lastly, the authors of this paper have attempted to develop a Framework for Equitable Wearable Integration (FEWI) that describes how wearable devices can be utilized fairly and efficiently at workplaces in future. The study outlines the detrimental effects of wearable monitoring on workplace culture and employee morale using both empirical data and theoretical models. 2026, IGI Global Scientific Publishing. All rights reserved. -
Just: towards jute pest classification by combination of supervised learning and triplet loss aided contrastive learning
Jute is a vital agricultural commodity contributing significantly to the GDP of countries like Bangladesh, India, Myanmar, and China. However, because of its inaccuracy and slowness, its vulnerability to pest infestations-which are often handled by manual inspections-poses serious cost concerns. This study suggests a unique method for early and accurate pest identification that combines contrastive and supervised learning. Contrastive learning enhances feature representation by distinguishing between positive and negative samples, ensuring that instances within the same class are closely grouped while maintaining separation between different classes. It reduces false negatives by classifying some samples as negative and others with the same label as positive. Supervised learning enables precise pest identification by aligning features with distinctive characteristics of each class. Metrics including precision, recall, F1 score, ROC curve, and confusion matrix are used to assess the hybrid models performance; the findings show notable accuracy gains over conventional techniques. This scalable and dependable solution lowers losses caused by pests and provides a sustainable method of growing jute using cutting-edge advanced machine-learning techniques. The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025. -
JUSTICE BEYOND COURTS: EXPLORING FEMINIST AND DIGITAL APPROACHES TO RESTORATIVE PRACTICE IN INTIMATE PARTNER VIOLENCE
Intimate partner violence (IPV) has been a worldwide problem that has been quite hard to handle with traditional justice systems that lack the capacity to address the intricate needs of victims. The present paper aims to discuss how using restorative justice (RJ) based on feminist theory and driven by digital innovations, a different route to justice other than the traditional courts can be pursued. The research involves integrative qualitative method of synthesizing the results of peer-reviewed literature, policy reports on the assessment of such programs as Project Restore (New Zealand), NYC Blueprint (USA), and Open Circle (Australia), and online interventions, such as AR storytelling and digital mediation sites. This review shows that feminist models of RJ are based on the safety and empowerment of the survivor providing results that criminal courts can hardly provide. Nonetheless, these models do not have an easy time scaling because of resource limitations. Digital technologies, nevertheless, make RJ more accessible and anonymous, but at the same time they have ethical risks, including questions of privacy and algorithmic bias. The paper argues that such problems may be solved through the combination of feminist ethics and responsible digital design to create survivor-led and technology-enabling RJ systems. The results can be used in theory and policy formulation through the suggested model that will combine feminist and digital methods to make justice innovative, but ethically sound. This is an interdisciplinary approach that holds transformative prospects in the context of dealing with IPV worldwide. 2025. -
K shell Radiative and Total Vacancy Transfer Probabilities of Barium & Thallium from Internal Conversion Electron Sources
The information obtained from X-ray fluorescence parameters is very important in the study of some basic phenomena, in atomic molecular and radiation physics. This demands for accurate values of XRF parameters such as shell wise and sub-shell wise X-ray fluorescence yield, fluorescence X-ray production cross-section, shell and sub-shell intensity ratios, K to L vacancy transfer probabilities and so on. Nuclear processes like orbital electron capture or internal conversion of gamma transition and interaction of photons or charged particles give rise to X-ray fluorescence. It is reported that the probability of emission of X-rays by decay process is different from the probability of emission of X-rays by photoionisation[1-3]. The K shell XRF parameters of elements have been extensively studied by several researchers by photon exciation methods and varieties of detectors [4-9]. But there are not many reports on the measurements of K shell X-ray intensity ratios of elements following decay processes. This may be due to the requirement of the radioactive sources of the order of 100mCi and preparing many electron capture and internal conversion sources of this strength may be a difficult task. In view of this, we have made an attempt to study the effect of internal conversion on the probability of X-ray emission of thallium and barium by determining K shell intensity ratios, K ?? Li, K-M radiative and K-L total vacancy transfer probabilities from weak internal conversion sources Hg203 and Cs137respectively. To examine the effect of decay process on X-ray emission the K shell fluorescence parameters determined are compared with the theoretical values and other experimental results obtained using radioactive decay and photon excitation methods. The dissertation consists of five Chapters. In the first Chapter, we introduce the project work carried out. In Chapter 2, we present the brief theory of XRF and literature survey. It consists of two sections; in section 2.1, we give the theoretical aspects of the K X-ray fluorescence and in section 2.2, we present the literature survey related to the determination of K X-ray intensity ratios and vacancy transfer probabilities through photoionization methods and decay processes. Chapter 3 deals with experimental details such as the radioactive sources, detector and electronic modules used in our experiment, the experimental arrangement and standardization of spectrometer, and experimental procedure adopted in the collection and analysis of the data. In Chapter 4, we present the results on K X-ray intensity ratios and vacancy transfer probabilities along with the theoretical, semi-empirical and others experimental values. In Chapter 5, we give the conclusions. -
K shell X-ray Fluorescence Parameters of Platinum and Lead
X-ray fluorescence phenomenon (XRF) has gained importance as a tool the fields of atomic, nuclear and radiation physics, material science, medical physics, and in such diverse fields as industry, agriculture, archaeology, forensic science and so on for elemental analysis. This demands for accurate values of XRF parameters such as shell wise and sub-shell wise x-ray fluorescence yield, fluorescence x-ray production cross-section, Auger transition rate, shell and sub-shell intensity ratios, K to L vacancy transfer probabilities and so on. In addition, measurements of these parameters are useful in obtaining physical parameters such as photoelectric cross-sections, jump ratios and x-ray emission rates. Over the years several researchers have measured these parameters employing variety of methods and detectors (Apaydin and Tira?o?lu 2012; Hopman et al. 2012; Kahoul et al. 2011; Cengiz et al. 2011; Cengiz et al. 2010; M??nesguen and M. -C. L??py 2010; S????t et al. 2009a; S????t et al. 2009b; Reyes-Herrera and Miranda 2008; Ertu?rul et al. 2007; Aylikci et al. 2007; Demir and ?ahin 2007; ?ahin et al. 2005; ??zdemir et al. 2002; ?imsek et al. 2002; Durak et al. 2001; 1998; Allawadhi et al. 1993). However these methods involve complicated single and double reflection geometries armed with sophisticated equipments and strong sources of the order of 109 Bq or more. These experiments involve many corrections such as attenuation of x-rays in the target itself (self attenuation correction), attenuation in the window of the detector (window attenuation correction), solid angle correction, photopeak efficiency and total detection efficiency of the detector, etc. Estimation of intensity of radiations incident on the target is a difficult task in these methods. The incident intensity and the total x-ray fluorescence intensity generated in the target are the quantities, which determine the accuracy of the K x-ray fluorescence parameters. Recently Gudennavar et al. (2003a; 2003b) and Horakeri et al. (2011; 1998; 1997) have developed a simple method to measure K-shell fluorescence yields, production cross section and other parameters by adopting a 2geometrical configuration and employing weak radioactive sources. K x-ray fluorescence parameters are independent of angle of emission because K x-rays are emitted isotropically from the target atom. It was found that the method yields K x-ray fluorescence parameter values as accurate as any standard reflection geometry experiment. The simplicity of method helps one to utilize it to develop student laboratory experiments to train students in x-ray fluorescence field. Since the method requires weak sources, it is of great advantage to student laboratories for they do not need special permission to acquire sources and sources can be handled safely without any personal radiation hazards. However the validity of the target thickness criterion and the method needs to checked with other X-ray detectors such as CdZnTe, HPGe as their construction arrangements are different from NaI(Tl) detectors and for all the elements in the periodic table. In the present study, we have measured the K x-ray fluorescence parameters for the elements platinum and lead using HPGe detector spectrometer and 57Co excitation source. The results are compared with the theoretical, semi-empirical fitted and other experimental values. -
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 and Vacancy Transfer Probabilities of Iron, Silver and Tellurium from Electron Capture Sources
Over the years X-ray fluorescence studies have gained much importance due to the increasing applications in various fields. Today X-ray spectroscopy contributes significantly to the increasing knowledge in different scientific disciplines such as atomic, nuclear and radiation physics, solid-state and semiconductor research, space research, medicine and biomedical research, forensic science, metallurgy, geophysical research and source exploration, industry, archaeology, art, environment analysis and protection, and so on for elemental analysis. X-rays are generated in a wide variety of ways: Proton induced, ion induced, photon induced and X-ray emission following radioactive decay. There are two types of decay processes that result in K shell X-ray emission; electron capture (EC) process and internal conversion (IC) of gamma transitions. It has been reported that the values of K shell X-ray intensity ratios following electron capture (EC) decay are different from the theoretical values as well as those obtained via photon induced excitations. Eventhough several researchers have made attempts to study the K shell intensity ratios by photon excitation methods employing reflection geometries, there are very few reports on the measurements of K shell X-ray intensity ratios of elements following decay processes. In the present investigation, we have determined the K shell X-ray intensity ratios and total vacancy transfer probabilities of iron, silver and tellurium via electron capture decay of Co57, Cd109 and I125 employing 2??-geometrical configuration method. The obtained results are discussed in the light of the effects of electron capture decay on X-ray emission probabilities comparing with theoretical, semi-empirical and experimental results. This dissertation consists of five chapters. Chapter 1 gives a brief introduction to the subject and ends with specifying the relevance of the present investigation. Chapter 2 deals with the theoretical details followed by the literature review and statement of the problem. In the following chapter, we give a brief description on the experimental procedure and data analysis methods. Chapter 4 includes the results and discussions. In the concluding chapter, a summary of the present investigation and the scope for future work are clearly stated. -
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-12 schools campus, food service, and transportation directors COVID-19 and current challenges
This study examines the COVID-19 experiences of K-12 school campus directors, especially in terms of building and grounds, transportation, and food services from the Midwestern United States. The COVID-19 pandemic has changed to online education mode and implemented safety protocols to ensure equitable access to K-12 education. School directors play a crucial role in United Statess school administration. The researchers used a mixed method research design and purposive sampling. The sample included 9 school-grounds directors, 34 food service directors, and 31 transportation directors. A 5-point Likert-type questionnaire was prepared by the researchers to collect the relevant data for the study. The data were analyzed using descriptive statistics and thematic analysis. While revealing their experiences, various school directors mentioned that key challenges are reliable sources of information for them to work, inequities in resource allocation, finance allocation, and lack of professional training. The survey highlighted the need for several resources, including federal and state funding, teacher professional development programs, and community partnerships that support K-12 education. School directors addressed challenges regarding transportation, buildings, grounds, and food services during COVID-19. The study revealed the need for systemic policy changes and communication resources to create resilient and adaptive learning environments for K-12 education. Eventually, the study recommended that policymakers and educational leaders bring changes to K-12 infrastructure to withstand crises like COVID-19. 2026, Intelektual Pustaka Media Utama. All rights reserved. -
k-Domination Connectivity in Graphs
The conditional connectivity of G with respect to a graph theoretic property P is the smallest cardinality of a set S of vertices (edges), if any, such that every component Hi of the disconnected graph G ? S has property P. Connectivity and domination are two major areas of graph theory having numerous applications in computer and information sciences. In this paper, we study a type of conditional connectivity that combines connectivity and domination, called k-domination connectivity. Further, we investigate the k-domination connectivity of some standard graph classes. 2025 World Scientific Publishing Company.