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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 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. -
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. -
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. -
Kernel granulometric texture analysis and light res-aspp-unet classification for covid-19 detection
This research article proposes an automatic frame work for detecting COVID -19 at the early stage using chest X-ray image. It is an undeniable fact that coronovirus is a serious disease but the early detection of the virus present in human bodies can save lives. In recent times, there are somany research solutions that have been presented for early detection, but there is still a lack in need of right and even rich technology for its early detection. The proposed deep learning model analysis the pixels of every image and adjudges the presence of virus. The classifier is designed in such a way so that, it automatically detects the virus present in lungs using chest image. This approach uses an image texture analysis technique called granulometric mathematical model. Selected features are heuristically processed for optimization using novel multi scaling deep learning called light weight residual-atrous spatial pyramid pooling (LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting major level of image features. Moreover, the corona virus has been detected using high resolution output. In the framework, atrous spatial pyramid pooling (ASPP) method is employed at its bottom level for incorporating the deep multi scale features in to the discriminative mode. The architectural working starts from the selecting the features from the image using granulometric mathematical model and the selected features are optimized using LightRESASPP- Unet. ASPP in the analysis of images has performed better than the existing Unet model. The proposed algorithm has achieved 99.6% of accuracy in detecting the virus at its early stage. 2022 Tech Science Press. All rights reserved. -
Key Indicators of Corporate Financial Status: Empirical Evidence from Indian Industrial Sector
The present pandemic situation has led to the rise in the number of financially distressed companies in the Indian business ecosystem. Stakeholders, especially shareholders, unsecured and trade creditors who do not enjoy lien on company assets, should be extra cautious about the financial status of a company before making any investment or lending decision. The present study attempts to suggest the key indicators of corporate financial status after analysing 12 ratios from the financial statements of 162 sample companies for five financial years. The suggested key indicators can assist the shareholders and creditors in differentiating a financially distressed company from a financially sound company in the Indian industrial sector. 2021 SCMS Group of Educational Institutions. All rights reserved. -
Khadi Textiles, Women and Rural Development: An Analysis from Past to Present
The paper aims at bringing out the cultural, economic, and political importance that Khadi has for India from pre-colonial times, during the colonial rule and after independence till the present times. The paper brings out Khadis potential in rural development by solving the pressing concerns of unemployment and working conditions in developing countries like India. In spite of this, Khadis potential at rural development is subsided by the contemporary threats the industry faces due to the different agents of neoliberalism, discussed in the paper. The questionnaire report on workers collected at the Cheriyakonni production unit and information collected at the District Project Office Trivandrum; brings out that rural women are the largest workforce victims of these threats, as the industry is slowly showing signs of degradation. Methodology: The research paper is based on both quantitative and qualitative data analysis. Data is collected from Kerala Khadi and Village Industries Board (KVIB) Project Office Thiruvananthapuram through interviews. Questionnaire is conducted on workers of Cheriyakonni Production Unit, Thiruvananthapuram that operates under the board. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Khaki on Screen: Understanding the Representation of Cops in Malayalam Cinema
[No abstract available] -
Kitchen Waste Derived Porous Nanocarbon Spheres for Metal Free Degradation of Azo Dyes: An Environmental Friendly, Cost Effective Method
A porous nanocarbon spheres (PNCSs) were prepared from kitchen waste and successfully used for the metal and oxidant free degradation of azo compounds. The PNCSs obtained by the pyrolysis of onion peel, at 1000C, were found to be effective catalysts for the reductive degradation of azo dyes in presence of hydrazine hydrate. The reductive cleavage of azo bonds (N=N) was achieved under microwave irradiation. The degradation process was completed in a span of 1040min; the process was monitored by ultravioletvisible spectroscopy. Fourier transform infrared spectroscopy was also used for the illustration of azo degradation. Interestingly, the reductive degradation of azo dyes produced corresponding amines and they were successfully reused for the preparation of fresh azo compounds. The work, therefore, highlights the valorization of largely produced kitchen-wastes to the sustainable PNCSs and it also provides a platform to demonstrate their applicability as highly cost-effective catalysts for bulk scale chemical transformations. Graphical Abstract: [Figure not available: see fulltext.]. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature. -
KMSBOT: enhancing educational institutions with an AI-powered semantic search engine and graph database
In the rapidly evolving field of education, a semantic search engine is essential to efficiently retrieve knowledge experts data. Universities and colleges continuously generate a vast amount of educational and research data. A semantic search engine can assist students and staff in efficiently searching for required information in such a big data pool. The existing systems have limitations in providing personalized recommendations that align with the individual learning objectives of students and scholars, thus hindering their educational experience. To address this, this paper proposed a KMSBOT. This novel recommendation system effectively summarizes academic data and provides tailored information for students, research scholars, and faculty, enhancing educational experiences. This paper meticulously details the development of KMSBOT, which comprises a neo4j-based knowledge graph technique, the NLP method for data structuring, and the KNN machine learning model for classification. The system employs a three-module approach, utilizing data structuring, NLP processing, and semantic search engine integration. By leveraging Neo4j, NLTK, and BERT in Python, this proposed work ensures optimal performance metrics such as time, accuracy, and loss value. The proposed solution addresses traditional recommendation systems limitations and contributes to a brighter future, improving user satisfaction and engagement in academic environments. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024. -
Knowing Discovery from Legal Documents Dataset using Text Mining Techniques
International Journal of Computer Applications Vol.66, No.23, pp. 32-34 ISSN No. 0975-8887