Archive

Abstract:

The purpose of the research is to develop methods, algorithms, and computational procedures of analysis, and solution (subsolution) of problems during changes at the stages of ecological and economic modelling of processes. Metaheuristics are proposed, which take into account the experimentally obtained knowledge about the properties of the model. A computational experiment was conducted to analyze the properties of the improved "input-output" model (linear system) using the method of basic matrices. This method has several software implementations of the corresponding algorithms in "exact" and "long" numbers. It includes the ability to both solve the problem (from beginning to end) and resolve the problem with changes in the model (without re-solving at first). Hence, using the example of calculations based on the speed criterion, decision-making on choosing the "best" algorithm for solving the problem is demonstrated.

Keywords:

Basic Matrices,Ecological and Economic System,Method of Exact Calculations,Sustainable Development,Ill-Conditioned System of Linear Equations,

Refference:

I. A. Grylitska. : Digital audit as a key element of Ukraine’s way out from Covid-19’. Journal of International Legal Communication. Vol. 7(4), pp. 5-12, 2022. 10.32612/uw.27201643.2022.7
II. A. Onyshchenko, О. Voloshin, V. Kudin, L. Khrushch. : ‘Formation of priorities of national macroeconomical politics under the conditions of implementation of the Paris agreements’. International Journal “Information Models and Analyses”. Vol. 6(1) pp. 68-83, 2017.
III. A. S. Joshi, O. Kulkarni, G.M. Kakandikar, V.M. Nandedkar. : ‘Cuckoo Search Optimization- A Review’. Materials Today: Proceedings. Vol. 4(8) pp. 7262-7269, 2017. 10.1016/j.matpr.2017.07.055
IV. BLAS (Basic Linear Algebra Subprograms). (n.d.). http://www.netlib.org/blas/sblat1
V. H. Li, H. Yang, H. Shao. : ‘A note on the perturbation analysis for the generalized Cholesky factorization’. Applied Mathematics and Computation. Vol. 215(11) pp. 4022–4027, 2010. 10.1016/j.amc.2009.12.009
VI. J. A. Villalobos-Lopez. : ‘Digital media and social networks in Mexico’. Journal of International Legal Communication. Vol. 5(2), pp. 7-35, 2022.
VII. J. S. Wang, S. X. Li. : ‘An Improved Grey Wolf Optimizer Based on Differential Evolution and Elimination Mechanism’. Scientific Reports. Vol. 9, article number 7181, 2019.
VIII. K. Balasubramanian, Ah. Mahmoud. : ‘Abbas A Software Library for Multi Precision Arithmetic’. Algorithmic Strategies for Solving Complex Problems in Cryptography. pp. 195-198. Hershey: Information Science Reference, 2018.
IX. Large Integer Package. 2023.
https://github.com/luckyaibin/BigInt/tree/master/freelip
X. Multiple Precision Integer Library (MPI). 2023. https://github.com/servo/nss/tree/master/lib/freebl/mpi
XI. M.-Yu. Cheng, D. Prayogo. : ‘Symbiotic Organisms Search: A new metaheuristic optimization algorithm’. Computers & Structures. Vol. 139, pp. 98-112, 2014. 10.1016/j.compstruc.2014.03.007
XII. OpenSSL Cryptographic Toolkit. 2023. http://openssl.org
XIII. Optimizing Multiple-Resources Levelling in Multiple Projects Using Discrete Symbiotic Organisms. 2023.
XIV. O. Voloshin, A. Onyshchenko, V. Kudin, Y. Tverdokhlib. : ‘Analysis of the influence of implementation of international environmental restrictions on energy efficiency in means of national economy branch’. International Journal “Information Theories and Applications”. Vol. 5(2) pp. 17-32, 2018.
XV. R. Duminică, A. N. Puran. : ‘Requirements of the language used by the legislator in the construction of the normative text. Special look at the Romanian legislative technique’. Journal of International Legal Communication. Vol. 7(4) pp. 30-37, 2022. 10.32612/uw.27201643.2022.7
XVI. S. Hermawanto, T. A. Negara, B. Sugiri. : ‘Legal implications of unclear regulation of responsible subjects in the fulfillment of human rights’. Journal of International Legal Communication. Vol. 7(4), pp. 38-47, 2022. 10.32612/uw.27201643.2022.7
XVII. S. K. Mallik, S. Chakrabarti, S. Niwas. : ‘Singh Analysis of Ill-conditioning of hybrid state estimators in the presence of PMU measurements’. Energy Conversion and Economics. Vol. 2(1). pp. 35-44, 2021.
XVIII. The GNU Multiple Precision Arithmetic Library. 2023. https://gmplib.org/
XIX. T. Nishi, S. Rump, S. Oishi. : ‘A consideration on the condition number of extremely ill-conditioned matrices’. European Conference on Circuit Theory and Design (ECCTD), 2013. 10.1109/ecctd.2013.6662260
XX. V. Kudin, V. Onotskyi, A. Al-Ammouri, L. Shkvarchuk. : ‘Advancement of a long arithmetic technology in the construction of algorithms for studying linear systems’. Eastern-European Journal of Enterprise Technologies. Vol. 1(4-97), pp. 14-22, 2019.
XXI. V. Kudin, A. Onyshchenko, I. Onyshchenko. : ‘Algorithmizing the methods of basis matrices in the study of balance inter-sectoral ecological and economic models’. Eastern-European Journal of Enterprise Technologies. Vol. 3(4), pp. 45–55, 2019. 10.15587/1729-4061.2019.170516
XXII. V. S. Wibawa, I. Sudarsono, Sh. Hadiyantina. : ‘The prudence of administrative judges in the digital evidence in the era of applying e-government Information Technology’. Journal of International Legal Communication. Vol. 7(4), pp. 23-29, 2022. 10.32612/uw.27201643.2022.7.pp.23-29
XXIII. X. Zhou, Sh. Tian, J. An, Ju. Yang, Yu. Zhou, D. Yan, J. Wu, X. Shi, X. Jin. : ‘Comparison of different machine learning algorithms for predicting air-conditioning operating behaviour in open-plan offices’. Energy and Buildings, 2021.
XXIV. X. S. Yang. : ‘Nature-Inspired Metaheuristic Algorithms’. Headquarters: Luniver Press, 2010.
XXV. X. S. Yang, S. Deb. : ‘Cuckoo search: Recent advances and applications’. Neural Computing & Application. Vol. 24, pp. 169–174, 2014. 10.1007/s00521-013-1367-1

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Abstract:

Digital image processing is the use of a digital computer to process digital images. Image processing transforms input images into digital form for certain operations to obtain useful information. Segmentation is a well-known process used in image processing that partitions input images into different regions. Image segmentation is a sub-area of computer vision and digital image processing for grouping similar segments of an image under respective class labels. Several methods were performed with neutrosophic sets on dissimilar image-processing domains. However, the denoising and segmentation were not carried out accurately with minimal time complexity. To address these issues, many image segmentation methods are reviewed.

Keywords:

Computer Vision,Denoising,Digital image processing,Neutrosophic set,Segmentation,

Refference:

I. Chai, Jia Syuen, et al., : ‘New similarity measures for single-valued neutrosophic sets with applications in pattern recognition and medical diagnosis problems’. Complex & Intelligent Systems. Vol. 7, pp. 703-723, 2021. 10.1007/s40747-020-00220-w
II. Chen, Huaiguang, Shujun Fu, and Hong Wang. : ‘Optical coherence tomographic image denoising based on Chi-square similarity and fuzzy logic’. Optics & Laser Technology. Vol. 143. 107298, 2021 10.1016/j.optlastec.2021.107298
III. Devi, M. Anousouya, J. I. Sheeba, and K. Suresh Joseph. “Neutrosophic graph cut-based segmentation scheme for efficient cervical cancer detection.” Journal of King Saud University-Computer and Information Sciences 34.1 (2022): 1352-1360. 10.1016/j.jksuci.2018.09.014
IV. Dhar, Soumyadip, and Malay K. Kundu. : ‘Accurate multi-class image segmentation using weak continuity constraints and neutrosophic set’. Applied Soft Computing. Vol. 112, 107759, 2021. 10.1016/j.asoc.2021.107759
V. Li, Xiangxia, et al., : ‘Segmentation of pulmonary nodules using a GMM fuzzy C-means algorithm’. Ieee Access. Vol. 8, pp. 37541-37556, 2020 10.1109/ACCESS.2020.2968936
VI. Miao, Jiaqing, Xiaobing Zhou, and Ting-Zhu Huang. : ‘Local segmentation of images using an improved fuzzy C-means clustering algorithm based on self-adaptive dictionary learning’. Applied Soft Computing. Vol. 91, 106200, 2020. 10.1016/j.asoc.2020.106200
VII. Santhosh Kumar S., and Albert J., : ‘Performance Analysis of Multi Modal Medical Image Segmentation and Edge Detection Algorithm’. International Journal of Engineering Science and Computing. Vol.7, pp. 749-755, 2014. 10.4010/2014.233
VIII. Shanmugam, A., and S. Rukmani Devi. : ‘A fuzzy model for noise estimation in magnetic resonance images’. IRBM . Vol. 41(5), pp. 261-266, 2020. 10.1016/j.irbm.2019.11.005
IX. Singh, Pritpal. : ‘A neutrosophic-entropy based adaptive thresholding segmentation algorithm: A special application in MR images of Parkinson’s disease’. Artificial Intelligence in Medicine. Vol.. 104, 101838, 2020. 10.1016/j.artmed.2020.101838
X. Song, Sensen, et al., : ‘A fast image segmentation algorithm based on saliency map and neutrosophic set theory’. IEEE Photonics Journal. Vol. 12(5), pp. 1-16, 2020. 10.1109/JPHOT.2020.3026973
XI. Sran, Paramveer Kaur, Savita Gupta, and Sukhwinder Singh. : ‘Integrating saliency with fuzzy thresholding for brain tumor extraction in MR images’. Journal of Visual Communication and Image Representation. Vol. 74, 102964, 2021. 10.1016/j.jvcir.2020.102964
XII. Vinurajkumar, S., and S. Anandhavelu. : ‘An Enhanced Fuzzy Segmentation Framework for extracting white matter from T1-weighted MR images’. Biomedical Signal Processing and Control. Vol. 71, 103093, 2022. 10.1016/j.bspc.2021.103093
XIII. Yuan, Ye, et al., : ‘Approach to image segmentation based on interval neutrosophic set’. Infinite Study, 2020. 10.3934/naco.2019028

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Abstract:

Investigating the sustainability of using pond ash in compressed interlocking bricks is a multi-faceted process that requires assessing environmental, economic, and social aspects. India churns out more than 200 million tonnes of untapped coal ash every year. Stone crusher plants and thermal power plants are exhibiting huge amounts of unutilized by-products which have started invading our environment negatively and could soon create hazardous impacts. This paper focuses on investigating a new emerging sustainable brick constituting all these waste substances. Unutilized stone dust from crushers of the Khordha Industrial Area and Ash (Pond ash and Fly ash) were collected from the NALCO Power Plant situated at Angul, Odisha, India. Pond ash Induced Compressed Interlocking Bricks (PAICIB) were fabricated having parent mix with pond ash & fly ash levels of 35% and 40% stone dust by weight, which was fixed after several trial mix experiments. Variation was done with the proportion of lime and cement to the parent mix. Compressive strength tests were conducted on day 7 and 28. The parent mix of 30cmx15cmx10cm PAICIB containing no cement and 10% hydrated lime by weight of parent mix sustained a compressive strength up to 5.5 N/mm² (failure load of 204KN) and the water absorption was 17% after 28 days. The primary focus of this investigation is to utilize the waste materials for creating an eco-friendly brick that can meet the demand of the current rising population of populated countries like India. This work becomes a part of the “fly ash management and utilization mission” by NGT as the bricks are formed here using the disposed pond ash in rivers reducing water pollution too.

Keywords:

CIB,Failure load,Fly ash management,Parent mix,Pozzolona,

Refference:

I. Al-Fakih, Amin, et al., : ‘Characteristic compressive strength correlation of rubberized concrete interlocking masonry wall’. Structures, Elsevier. Vol. 26, pp. 169-184, 2020. 10.1016/j.istruc.2020.04.010
II. Al-Fakih, Amin, et al., : ‘Development of interlocking masonry bricks and its’ structural behaviour: A review paper’. IOP Conference Series: Earth and Environmental Science. Vol. 140(1), IOP Publishing, 2018. 10.1088/1755-1315/140/1/012127
III. Annual report, Central Electricity Authority, Ministry of Power, Government of India, New Delhi, (2020-2021).
IV. Balamuralikrishnan, R., and J. Saravanan. : ‘Effect of addition of alccofine on the compressive strength of cement mortar cubes’. Emerging Science Journal. Vol. 5(2), pp. 155-170, 2021. 10.28991/esj-2021-01265
V. Bazzar, Kaoutar, Fatima Zahra Hafiane, and Adil Hafidi Alaoui. : ‘The early age strength improvement of the high volume fly ash mortar’. Civil Engineering Journal. Vol. 7(8), pp. 1378-1388, 2021. 10.28991/cej-2021-03091731
VI. Bhavsar, Jay K., and Vijay Panchal. : ‘Ceramic waste powder as a partial substitute of fly ash for geopolymer concrete cured at ambient temperature’. Civil Engineering Journal. Vol. 8(7), 2022. 10.28991/CEJ-2022-08-07-05
VII. Ghosh, Ambarish, and Chillara Subbarao. : ‘Hydraulic conductivity and leachate characteristics of stabilized fly ash’. Journal of Environmental Engineering. Vol. 124(9), pp. 812-820, 1998. 10.1061/(ASCE)0733-9372(1998)124:9(812)
VIII. Ghosh, Prasenjit, and Sudha Goel. : ‘Physical and chemical characterization of pond ash’. International Journal of Environmental Research and Development. Vol. 4(2), pp. 129-134, 2014
IX. Gupta, Gaurav, Hemant Sood, and Pardeep Gupta. : ‘Performance evaluation of pavement geomaterials stabilized with pond ash and brick kiln dust using advanced cyclic triaxial testing’. Materials. Vol. 13(3) pp. 553, 2020. 10.3390/ma13030553
X. Javan, Anooshe Rezaee, et al., : ‘Mechanical behaviour of composite structures made of topologically interlocking concrete bricks with soft interfaces’. Materials & Design. Vol. 186, 108347, 2020. 10.1016/j.matdes.2019.108347
XI. Prakash, K. Shyam, and Ch Hanumantha Rao. : ‘Strength characteristics of quarry dust in replacement of sand’. IOP Conference Series: Materials Science and Engineering. Vol. 225(1), IOP Publishing, 2017.
XII. Rath, B., Shirish Deo, and G. Ramtekkar. : ‘Durable glass fiber reinforced concrete with supplimentary cementitious materials’. International Journal of Engineering. Vol. 30(7), pp. 964-971, 2017. 10.5829/ije.2017.30.07a.05
XIII. Romeekadevi, M., and K. Tamilmullai. : ‘Effective Utilization of Fly Ash and Pond Ash in High Strength Concrete’. International Journal of Engineering Research & Technology (IJERT)-special issue. Vol. 3, pp. 1-7, 2015.
XIV. Safiee, Nor Azizi, et al., : ‘Structural behavior of mortarless interlocking load bearing hollow block wall panel under out-of-plane loading’. Advances in structural engineering. Vol. 14(6), pp. 1185-1196, 2011. 10.1260/1369-4332.14.6.11
XV. Sarkar Raju, and A. R. Dawson. : ‘Economic assessment of use of pond ash in pavements’. International Journal of Pavement Engineering. Vol. 18(7), pp. 578-594, 2017. 10.1080/10298436.2015.1095915
XVI. Sarkar, Ritwik, Nar Singh, and Swapan Kumar Das. : ‘Effect of addition of pond ash and fly ash on properties of ash—clay burnt bricks’. Waste management & research. Vol 25(6), pp. 566-571, 2007.
XVII. Shafabakhsh, Gholamali, and Saeed Ahmadi. : ‘Evaluation of coal waste ash and rice husk ash on properties of pervious concrete pavement’. International Journal of Engineering, Vol 29(2) pp. 192-201, 2016.
XVIII. Sonawane, Prashant G., Arun Kumar Dwivedi, and P. Ash. : ‘Technical properties of pond ash-clay fired bricks–an experimental study’. American Journal of Engineering Research (AJER), Vol 2(9) pp. 110-117, 2013.
XIX. Thanoon, Waleed A., et al., : ‘Development of an innovative interlocking load bearing hollow block system in Malaysia’. Construction and Building Materials. Vol. 18(6), pp. 445-454, 2004.
XX. Verma, Aditya, et al., : ‘Utilization of pond ash as partial replacement of cement concrete mix’. International Research Journal of Engineering and Technology (IRJET). Vol. 3(3), 2016.
XXI. Vidhya, K., et al., : ‘Experimental studies on pond ash brick’. J. Eng. Res. Develop. Vol. 6(5), pp. 6-11, 2013.
XXII. Vijay Adhithya A., Kalpana V. G., and Malavan K., : ‘Development and performance evaluation of interlocking bricks using industrial waste materials’. International Journal of Advance Research, Ideas and Innovations in Technology. Vol. 7(4), V7I4-1207, 2021.

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Abstract:

Globalization has led to an increase in cultural diversity in the software business, meaning that workers need to be culturally intelligent (CQ) to communicate with coworkers from various backgrounds and successfully navigate various organizational cultures. However, there is a lack of research on the influence of CQ on work adjustment among Indian software professionals working in culturally different states. Additionally, the relationship between CQ, job characteristics, and work adjustment remains unclear. This study aims to investigate the impact of CQ on job satisfaction and performance and identify areas for improvement in creating equitable and multicultural work environments. The findings will contribute to enhancing employees' cultural intelligence and promoting better work adjustment in the context of increasing cultural diversity and globalization. The purpose of this study was to examine the extent to which cultural intelligence can enhance work adjustment by exploring its impact on employees' job satisfaction and job performance. The study's ultimate sample size of 485 respondents was obtained using standardized instruments in a quantitative and cross-sectional methodology. Google Forms software was utilized to distribute the questionnaires online. The findings of this study provide valuable insights into effective strategies for enhancing employees' cultural intelligence and promoting better work adjustment in the context of globalization and increasing cultural diversity in the workplace.

Keywords:

Cultural intelligence,Job performance,Job satisfaction,Software professionals,Work adjustment,

Refference:

I. Abdien, M. K., Jacob, M., : ‘Cross-cultural training and cultural intelligence of hospitality students: A case study in Egypt and Spain’. Journal of Teaching in Travel & Tourism. Vol. 19(3), pp: 191–215, 2018. 10.1080/15313220.2018.1557098
II. Afsar, B., Umrani, W. A., : ‘Transformational leadership and Innovative Work Behavior’. European Journal of Innovation Management. Vol. 23(3) pp: 402–428, 2019. 10.1108/ejim-12-2018-0257
III. Akhal, K., Liu, S., : ‘Cultural intelligence effects on expatriates’ adjustment and turnover intentions in Mainland China’. Management Research Review. Vol. 42(7), pp: 818–836, 2019. 10.1108/mrr-04-2018-0157
IV. Alon, I., Boulanger, M., Meyers, J., Taras, V., : ‘The development and validation of the business cultural intelligence quotient’. Cross Cultural & Strategic Management. Vol. 23(1), pp: 78–100, 2016. 10.1108/ccsm-10-2015-0138
V. Ang, S., Inkpen, A. C., : ‘Cultural intelligence and offshore outsourcing success: A framework of firm-level intercultural capability’. Decision Sciences. Vol. 39(3), pp: 337–358, 2008. 10.1111/j.1540-5915.2008.00195.x
VI. Ang, S., Van Dyne, L., Koh, C., Ng, K. Y., Templer, K. J., Tay, C., Chandrasekar, N. A., : ‘Cultural intelligence: Its measurement and effects on cultural judgment and decision making, cultural adaptation and task performance’. Management and Organization Review. Vol. 3(3), pp: 335–371, 2007. 10.1111/j.1740-8784.2007.00082.x
VII. Black, J. S., Stephens, G. K., : ‘The influence of the spouse on American expatriate adjustment and intent to stay in Pacific Rim Overseas assignments’. Journal of Management. Vol. 15(4), pp: 529–544, 1989. 10.1177/014920638901500403
VIII. Black, J. S., Mendenhall, M., Oddou, G., : ‘Toward a comprehensive model of International Adjustment: An Integration of multiple theoretical perspectives’. Academy of Management Review. Vol. 16(2), pp: 291–317, 1991. 10.5465/amr.1991.4278938
IX. Bogilović, S., Černe, M., Škerlavaj, M., : ‘Hiding behind a mask? cultural intelligence, knowledge hiding, and individual and team creativity’. European Journal of Work and Organizational Psychology. Vol. 26(5), pp: 710–723, 2017. 10.1080/1359432x.2017.1337747
X. Bücker, J., Furrer, O., Lin, Y., : ‘Measuring Cultural Intelligence (CQ)’. International Journal of Cross Cultural Management. Vol. 15(3), pp: 259–284, 2015. 10.1177/1470595815606741
XI. Çelik, M., Keser, A., Yapıcı, Ü. K., : ‘The relationship between Cultural Diversity and Cultural Intelligence: A cross-cultural research’. International Journal of Advanced Intelligence Paradigms. Vol. 19(3/4), pp: 450-469, 2021. 10.1504/ijaip.2021.116367
XII. Chen, A. S.-yih. : ‘CQ at work and the impact of intercultural training: An empirical test among foreign laborers’. International Journal of Intercultural Relations. Vol. 47, pp: 101–112, 2015. 10.1016/j.ijintrel.2015.03.029
XIII. Dawis, R. V., : ‘The Minnesota Theory of Work Adjustment in Career development and counseling: Putting theory and research to work’. S. D. Brown and R. W. Lent, Eds. John Wiley & Sons, Inc. pp: 3–23, 2005.
XIV. de Jong, J., den Hartog, D., : ‘Measuring innovative work behaviour’. Creativity and Innovation Management. Vol. 19(1), pp: 23–36, 2010. 10.1111/j.1467-8691.2010.00547.x
XV. du Chatenier, E., : ‘Open innovation competence: Towards a competence profile for inter-organizational collaboration innovation teams’. Research@WUR, 2009. [Online]. Available: https://research.wur.nl/en/publications/open-innovation-competence-towards-a-competence-profile-for-inter [Accessed: 02- Jan- 2023]
XVI. Earley, C. P., Ang, S., : ‘Cultural intelligence: Individual interactions across cultures’. Stanford business Books, 2003.
XVII. Gabel-Shemueli, R., Westman, M., Chen, S., Bahamonde, D., : ‘Does cultural intelligence increase work engagement? the role of idiocentrism-allocentrism and organizational culture in mncs’. Cross Cultural & Strategic Management. Vol. 26(1), pp: 46–66, 2019. 10.1108/ccsm-10-2017-0126
XVIII. He, G., An, R., Zhang, F., : ‘Cultural intelligence and work–family conflict: A moderated mediation model based on conservation of resources theory’. International Journal of Environmental Research and Public Health. Vol. 16(13), pp: 2406, 2019. 10.3390/ijerph16132406
XIX. Hitzeman, C., Gonsalvez, C. J., Britt, E., Moses, K., : ‘Clinical psychology trainees’ self versus supervisor assessments of practitioner competencies’. Clinical Psychologist. Vol. 24(1), pp: 18–29, 2020. 10.1111/cp.12183
XX. Jyoti, J., Kour, S., : ‘Cultural intelligence and job performance’. International Journal of Cross Cultural Management’. Vol. 17(3), pp: 305–326, 2017. 10.1177/1470595817718001
XXI. Kempf, C., Holtbrugge, D., : ‘Moderators and mediators of cross-cultural Training Effectiveness: Literature Review and development of a conceptual model’. European J. of International Management. Vol. 1(1), pp: 1, 2020. 10.1504/ejim.2020.10020862
XXII. Koo Moon, H., Kwon Choi, B., Shik Jung, J., : ‘Previous international experience, cross-cultural training, and expatriates’ cross-cultural adjustment: Effects of cultural intelligence and goal orientation’. Human Resource Development Quarterly’. Vol. 23(3), pp: 285–330, 2012. 10.1002/hrdq.21131
XXIII. Korzilius, H., Bücker, J. J. L. E., Beerlage, S., : ‘Multiculturalism and innovative work behavior: The mediating role of Cultural Intelligence’. International Journal of Intercultural Relations’. Vol. 56, pp: 13–24, 2017. 10.1016/j.ijintrel.2016.11.001
XXIV. Kumar, N., : ‘Inter- state Migration in India’. Indian Economic Service, Bengaluru, Karnataka, Rep. pp. 1–16, 2021. [Online]. https://www.ies.gov.in/pdfs/Seminar-neerajkumar.pdf
XXV. Le, H., Jiang, Z., Nielsen, I., : ‘Cognitive Cultural Intelligence and life satisfaction of migrant workers: The roles of career engagement and social injustice’. Social Indicators Research. Vol. 139(1), pp: 237–257, 2018. 10.1007/s11205-016-1393-3
XXVI. Lee, L.-Y., Sukoco, B. M., : ‘The effects of cultural intelligence on expatriate performance: The moderating effects of international experience’. The International Journal of Human Resource Management. Vol. 21(7), pp: 963–981, 2010. 10.1080/09585191003783397
XXVII. Moon, T., : ‘Organizational Cultural Intelligence: Dynamic Capability Perspective’. Group & Organization Management. Vol. 35(4), pp: 456–493, 2010. 10.1177/1059601110378295
XXVIII. Neuman, W. L., : ‘Social Research Methods: Quantitative and qualitative approaches’. 5th ed. Pearson, 2012.
XXIX. Ng, K.-Y., Van Dyne, L., Ang, S., : ‘Cultural intelligence: A review, reflections, and recommendations for future research’. in Conducting Multinational Research: Applying Organizational Psychology in the Workplace, pp: 29–58, 2012. 10.1037/13743-002
XXX. Ocampo, A. C., Restubog, S. L., Wang, L., Garcia, P. R., Tang, R. L., : ‘Home and away: How career adaptability and cultural intelligence facilitate international migrant workers’ adjustment’. Journal of Vocational Behavior Vol. 138, pp: 103759, 2022. 10.1016/j.jvb.2022.103759
XXXI. Ott, D. L., Michailova, S., : ‘Cultural intelligence: A review and new research avenues’. International Journal of Management Reviews. Vol. 20(1), pp. 99–119, 2018. 10.1111/ijmr.12118

XXXII. Pavithra, M. K., : ‘Data: PLFS migration report indicates that more than 70% in India migrate due to marriage’. FACTLY. 30-Jun-2022. [Online]. Available: https://factly.in/data-plfs-migration-report-indicates-that-more-than-70-in-india-migrate-due-to-marriage/ [Accessed: 02-Mar-2023]
XXXIII. Peng, A. C., Van Dyne, L., Oh, K., : ‘The influence of motivational cultural intelligence on Cultural Effectiveness based on study abroad’. Journal of Management Education. Vol. 39(5), pp: 572–596, 2015. 10.1177/1052562914555717
XXXIV. Porter, T. M., : ‘Trust in numbers: The pursuit of objectivity in science and public life’. Princeton University Press. 2020.
XXXV. Pothukuchi, V., Damanpour, F., Choi, J., Chen, C. C., Park, S. H., : ‘National and organizational culture differences and International Joint Venture Performance’. Journal of International Business Studies. Vol. 33(2), pp: 243–265, 2002. 10.1057/palgrave.jibs.8491015
XXXVI. Song, H., Varma, A., Zhang Zhang, Y., : ‘Motivational Cultural Intelligence and Expatriate Talent Adjustment: An exploratory study of the moderation effects of cultural distance’. The International Journal of Human Resource Management. Vol. 34(2), pp: 344–368, 2021. 10.1080/09585192.2021.1966491
XXXVII. Ramsey, J. R., Nassif Leonel, J., Zoccal Gomes, G., Rafael Reis Monteiro, P., : ‘Cultural intelligence’s influence on international business travelers’ stress’. Cross Cultural Management: An International Journal. Vol. 18(1), pp: 21–37, 2011. 10.1108/13527601111104278
XXXVIII. Robbins, S. P., Coulter, M. K., DeCenzo, D. A., : ‘Fundamentals of Management: Essential Concepts and Applications’. Pearson. 2020.
XXXIX. Saunders, M., Lewis, P., Thornhill, A., : ‘Research methods for business students’. 7th ed. Pearson. 2016.
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XLIII. Vlajčić, D., Caputo, A., Marzi, G., Dabić, M., : ‘Expatriates managers’ cultural intelligence as promoter of knowledge transfer in multinational companies’. Journal of Business Research. Vol. 94, pp: 367–377, 2019. 10.1016/j.jbusres.2018.01.033

XLIV. Yitmen, I., : ‘Organizational Cultural Intelligence: A Competitive Capability for strategic alliances in the International Construction Industry’. Project Management Journal. Vol. 44(4), pp: 5–25, 2013. 10.1002/pmj.21356
XLV. Zhang, Y., Huang, L., Duan, Y., Li, Y., : ‘Are culturally intelligent professionals more committed to organizations? Examining Chinese expatriation in Belt & Road Countries’. Asia Pacific Journal of Management. Vol. 39(3), pp: 967–997, 2020. 10.1007/s10490-020-09745-7

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Abstract:

This study is devoted to investigating the anisotropic picone identities for half-linear Conformable elliptic equations and the Hardy-type inequality. Further, we provide some results for the nonlinear analogue to Picone identity.

Keywords:

Anisotropic picone identities,Conformable elliptic equations,Half-linear Conformable elliptic equations,Hardy-type inequality,

Refference:

I. Abdelijawad T., : ‘On Conformable fractional Calculus’. Journal of Computational and Applied Mathematic. Vol. 279, pp. 57-66, 2015. 10.1016/j.cam.2014.10.016
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Abstract:

For linear motion applications, particularly in aerospace, this study outlines the creation of an essential Quadrupole Electromagnetic System (QES) as a substitute for a four-track electromagnetic launcher. The QES design is compared with a four-track system to address concerns regarding rail-armature contact sliding. In a QES, four coils provide a homogeneous electromagnetic field, resulting in a Lorentz force on the slider. The QES was designed using the three-dimensional modeling capabilities of the ANSYS software. The results of the magnetic properties show a high potential for scaling this model to various levels. Additionally, the QES power circuit was simulated using ANSYS Simplorer. The circuit uses silicon-controlled rectifiers (SCR) and a pulse-width modulation (PWM) pulse generator. A force of 4kN was achieved, and this paper presents the current and force plots in detail. The study includes finite element analysis, electromagnetic and current characteristics simulation, and monitoring of the skin and proximity effects. Performance is increased by optimizing the QES design parameters using Particle Swarm Optimization (PSO). The simulation results demonstrate the feasibility and scalability of the QES design.

Keywords:

Electromagnetics,Finite element analysis,Four-track electromagnetic launcher,Particle Swarm Optimization (PSO),

Refference:

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III. Dong Liang, Shuqi Sun, and Haiyang Wu., : ‘Study of capacitor parameters on the optimal trigger position of multipole field reconnection electromagnetic launcher’. IEEE Transactions on Plasma Science. Vol. 49(7), pp. 2153-2160, 2021. 10.1109/TPS.2021.3084632
IV. Engel Thomas G., and Michael J. Veracka. : ‘The voltage–current scaling relationship and impedance of DC electromagnetic launchers’. IEEE Transactions on Plasma Science. Vol. 43(5), pp. 1271-1276. 2015. 10.1109/TPS.2015.2418053
V. Ferkova Z. et al., : ‘Electromagnetic design of ironless permanent magnet synchronous linear motor’. 2008 International Symposium on Power Electronics, Electrical Drives, Automation and Motion. IEEE, 2008. 10.1109/SPEEDHAM.2008.4581085
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Abstract:

In different atmospheric conditions, Free Space Optical (FSO) transmission is vital because it sends data via light beams through the atmosphere. This technique transmits data quickly and efficiently with low signal attenuation in clear weather. This makes it ideal for short- to medium-range communication, especially in urban areas where cables or radio frequency spectrum are impractical. However, fog, rain, and snow can absorb or disperse the light signal, reducing transmission range and reliability for FSO. This research creates an effective FSO system that supports many channels and transmission distances. The suggested system will be tested in four weather conditions (light air, light rain, medium rain, and heavy rain) with attenuation values of 0.47, 1.988, 5.844, and 9.29 dB/km. Optisystem program version 21 designs and evaluates system performance based on QF, BER, and other criteria. In this research, multiple modulation formats are evaluated for best performance. QF exhibited a reversal relationship with distance, while BER showed a direct one. The suggested system can transmit for 25 km, 12 km, 10 km, and less than 6 km in light air, light rain, medium rain, and severe rain. This research also examines system performance under NRZ and RZ modulation formats. NRZ modulation is better for light air and clear weather transmission than RZ modulation since it requires less equipment and is easier to install. Since NRZ modulation requires no clock recovery overhead, bandwidth efficiency is usually higher. In light rain, RZ modulation minimizes optical fiber dispersion, extending transmission distances and improving signal quality. NRZ excels within 10 kilometers. NRZ works for 6 km and 4 km in medium and severe rain, although RZ's dispersion tolerance and synchronization make it better for longer transmission distances. For short distances, NRZ is suitable, but for longer distances, RZ is more resilient due to its better dispersion management and signal transmission.

Keywords:

FSO,NRZ,Optisystem,RZ,Radio Frequency,WDM,

Refference:

I. Al-Gailani S. A., Salleh M. F. M., Salem A. A., Shaddad R. Q., Sheikh U. U., Algeelani N. A., & Almohamad T. A., : ‘A survey of free space optics (FSO) communication systems, links, and networks’. IEEE Access. Vol. 9, pp. 7353-7373, 2020. 10.1109/ACCESS.2020.3048049
II. Alkholidi A. G., & Altowij K. S., : : ‘Free space optical communications — Theory and practices’. Contemporary Issues in Wireless Communications. Vol. 5, pp. 159-212, 2014. 10.5772/58884
III. Abdulwahid M. M., & Kurnaz S., : ‘The utilization of different AI methods-based satellite communications: A survey’. AIP Conference Proceedings. AIP Publishing. Vol. 3051(1), 2024. 10.1063/5.0192068
IV. Almetwali A. S., Bayat O., Abdulwahid M. M., & Mohamadwasel N. B., : ‘Design and analysis of 50 channel by 40 Gbps DWDM-RoF system for 5G communication based on fronthaul scenario’. In Proceedings of Third Doctoral Symposium on Computational Intelligence: DoSCI. Singapore: Springer Nature Singapore. Vol. 479. pp. 109-122, 2022. 10.1007/978-981-19-3148-2_9
V. Abdulwahid M. M., & Kurnaz S. : ‘The channel WDM system incorporates of Optical Wireless Communication (OWC) hybrid MDM-PDM for higher capacity (LEO-GEO) inter satellite link’. Optik. Vol. 273, 170449, 2023. 10.1016/j.ijleo.2022.170449
VI. Abdulwahid M. M., & Kurnaz S. : ‘Implementation of two polarization DQPSK WDM Is-OWC system with different precoding schemes for long-reach GEO Inter Satellite Link’. International Conference on Green Energy, Computing and Intelligent Technology (GEn-CITy 2023). IET. Vol. 2023, pp. 134-141, 2023. 10.1049/icp.2023.1772
VII. Abdulwahid M. M., Kurnaz S., Türkben A. K., Hayal M. R., Elsayed E. E., & Juraev D. A. : ‘Inter-satellite optical wireless communication (Is-OWC) trends: a review, challenges and opportunities’. Engineering Applications, Vol. 3(1), pp. 1-15, 2024.
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X. Burhan I. M., Al-Hakeem M. S., Abdulwahid M. M., & Mosleh M. F. : ‘Investigating the Access Point height for an indoor IOT services’. IOP Conference Series: Materials Science and Engineering. IOP Publishing.Vol. 881(1), 012116, 2020. 10.1088/1757-899X/881/1/012116
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XX. Mohsen D. E., Abbas E. M., & Abdulwahid M. M. : ‘Design and Implementation of DWDM-FSO system for Tbps data rates with different atmospheric Attenuation’. International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE. pp. 1-7, 2022. 10.1109/HORA55278.2022.9799974
XXI. Mohsen D. E., Abbas E. M., & Abdulwahid M. M., : ‘Performance Analysis of OWC System based (S-2-S) Connection with Different Modulation Encoding’. International Journal of Intelligent Systems and Applications in Engineering. Vol.11(4s), pp. 400-408. 2023. https://ijisae.org/index.php/IJISAE/article/view/2679
XXII. M. Q. Mohammed. : ‘HARNESSING CLOUD OF THING AND FOG COMPUTING IN IRAQ: ADMINISTRATIVE INFORMATICS SUSTAINABILITY’. Journal of Mechanics of Continua and Mathematical Sciences. Vol. 19(2), pp. 66–78, 2024. 10.26782/jmcms.2024.02.00004
XXIII. M. S. Jameel, Y. S. Mezaal, and D. C. Atilla. : ‘Miniaturized coplanar waveguide-fed UWB Antenna for wireless applications’. Symmetry. Vol. 15(3), pp. 633, 2023. 10.3390/sym15030633
XXIV. Majumdar A. K., Ricklin J. C., Leitgeb E., Gebhart M., & Birnbacher U., : ‘Optical networks, last mile access and applications’. Free-Space Laser Communications: Principles and Advances. Springer, New York, NY. Vol. 2, pp. 273-302. 10.1007/978-0-387-28677-8_6
XXV. Shamsi Z. : ‘Duplex Baseband Signal Transmission Over Free Space Optical Link Employing Carrier Reuse’. (2022). 10.21203/rs.3.rs-2246841/v1
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Abstract:

The study of the dynamics of tropical cyclones constitutes a major portion of the curriculum for atmospheric science throughout the world. This is due to its enormous significance on the coastal human civilization all over the world. The increase in sea surface temperature globally has led to an increase in the frequency of tropical cyclones. As many as ten deadly tropical cyclones have hit the Coromandel Coast of the Bay of Bengal Coastline after generating depressions from the Bay of Bengal in the last decade. The most challenging part lies in the early detection of tropical depressions in the ocean bed, the consequent intensity prediction of the generated tropical cyclone, and the forecasting of the resulting path of propagation of the cyclone in landmass. For these a detailed analytic study of the related cyclone dynamics governing equations, their corresponding solution, propounding of the cyclone analytic solution model, and estimation of some critical parameters based on real cyclone data for the validation of the analytic model is of utmost importance. Radio Sonde Radio Wind (RSRW) data analysis for 5 cyclones and subsequent Cyclone Stability Parameter (CSP)determination, simplification of the complicated expression of  and its subsequent significance is the main work of this paper. The  is the representative of the entire analysis of the governing equations of tropical cyclones in the applicable coordinate system of a previously performed important work. So this work is also a validation of the previously performed analytic work. We have also analytically simplified the expression of  through some approximations and chalked out a more lucid expression which is a function of  only. This work effectively unites analytic and numerical performances for more effective prediction of tropical cyclone path of propagation in landmass after their formation in tropical oceans.

Keywords:

Cyclone Stability Parameter (CSP),Cross Radial Velocity,Radio Sonde Radio Wind (RSRW),Track Determination,Transverse Velocity,Tropical Cyclone,

Refference:

I. Baisya H., Pattanaik S., Chakraborty T., : ‘A coupled modeling approach to understand ocean coupling and energetics of tropical cyclones in the Bay of Bengal basin’. J. Atmos. Res., Vol. 246, 105902, 2020 10.1016/j.atmosres.2020.105092
II. Emanuel K., : ‘Increasing destructiveness of tropical cyclones over the past 30 years’. Nature, Vol, 436, pp. 686-688, 2005 10.1038/nature03906
III. Elsberry R. L., Jordon M. S., Vitart F., : ‘Predictability of tropical cyclone events on inter seasonal time scales with the ECMWF monthly forecast model’. Asia. Pac. J. Atmos. Sci., Vol. 46, pp. 135-153, 2010 10.1007/s13143-010-0013-4
IV. Ghosh I., Chakravarty N., : ‘Tropical cyclones: expressions for velocity components and stability parameter’. J. Nat. Haz., Vol. 94, pp. 1293-1304, 2018. 10.1007/s11069-018-3477-7
V. Ghosh I., Das S., Chakravarty N., : ‘A review on tropical cyclones’. Journal of Mechanics of Continua and Mathematical Sciences, Vol. 16(12), pp. 20-48, 2021. 10.26782/jmcms.2021.12.00003
VI. Ghosh I., Das S., Chakravarty N.,: ‘RSRW Data, CSP and cyclone track prediction’. Journal of Mechanics of Continua and Mathematical Sciences, Vol. 17(2), pp. 41-51, 2022 10.26782/jmcms.2022.02.00005
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