Geopolitics of ports: Factoring Iran in India’s counterbalancing strategy for “Sino-Pak Axis”

Sandeep Singh,Bawa Singh 한양대학교 아태지역연구센터 2019 Journal of Eurasian Studies Vol.10 No.2

The article offers an assessment of Iran’s role in India’s foreign policy calculations vis-à-vis Sino-Pak axis. The changing geopolitical and geostrategic dynamics in the post-Cold War era have brought about new possibilities and opportunities in the Eurasian space. Given the geographical conditions and re-emergence of geopolitical competition, regional connectivity through ports has taken a pivotal position in bilateral and multilateral engagements. Therefore, the port geopolitics has become a buzzword in the regional connectivity. India has many geopolitical, geostrategic and geo-economic interests in the Eurasian region. However, the potential has not been realized yet due to the lack of geographical connectivity. In the backdrop of emerging Sino-Pak axis, their moves and countermoves have been limiting India’s multilateral interests including the connectivity across the Eurasian region. In these matrices, Iran’s Chabahar Port due to its strategic location has become a crucial enabler for India. However, Iran has offered investment opportunities even to China and Pakistan in the same project. The existing enmities/competition between India and China-Pakistan has made it difficult for New Delhi to convert the proposed project of Chabahar Port into reality. Against this background, the article would try to give answers to these questions; what are the regional dynamics regarding the Sino-Pak axis to block India’s connectivity with the Eurasian region? And how Iran’s Chabahar Port can be a helping factor in India’s counterbalancing strategy for Sino-Pak axis?

Lipid Based Drug Delivery System: Formulation Concept and Optimization Using Quality by Design

Sandeep Kumar SINGH,Se-Kwon KIM 한국생물공학회 2017 한국생물공학회 학술대회 Vol.2017 No.10

Effect of Family Size and Genetic Correlation between Purebred and Crossbred Halfsisters on Response in Crossbred and Purebred Chickens under Modified Reciprocal Recurrent Selection

Singh, Neelam,Singh, Raj Pal,Sangwan, Sandeep,Malik, Baljeet Singh Asian Australasian Association of Animal Productio 2005 Animal Bioscience Vol.18 No.1

Response in a modified reciprocal recurrent selection scheme for egg production was evaluated considering variable family sizes and genetic correlation between purebred and crossbred half sisters. The criteria of selection of purebred breeders included pullet's own performance, purebred full and half sisters and crossbred half sister's performance. Heritability of egg production of crossbreds (aggregate genotype) and purebred's was assumed to be 0.2 and genetic correlation between purebred and crossbred half sisters ($r_{pc}$) as 0.1, 0.2, 0.3, 0.4, 0.5, 1.0, -0.1, -0.2, -0.3, -0.4, -0.5 and -1.0. Number of dams per sire to produce purebred and crossbred progenies assumed to be 5, 6, 7, 8, while number of purebred female progeny ($N_p$) and crossbred progeny ($N_c$) per dam were considered to be 3, 4, 5 and 6 in each case. Considering phenotypic variance as unity, selection indices were constructed for different combinations of dams and progeny for each value of $r_{pc}$. Following selection index theory, response in crossbred and purebred for egg production was computed. Results indicated that response in crossbreds depended mainly on crossbred family size and also on magnitude of$r_{pc}$ irrespective of its direction, and response was greater with large crossbred family size than the purebred families. Correlated response in purebreds depends both on magnitude and direction of $r_{pc}$ and was expected to be greater with large purebred family size only. Inclusion of purebred information increased the accuracy of selection for crossbred response for higher magnitude of$r_{pc}$ irrespective of its direction. Present results indicate that desirable response in both crossbred and purebred performance is a function of $r_{pc}$ and family sizes. The ratio of crossbred and purebred family sizes can be optimized depending on the objective of improving the performance of crossbreds and/or of purebreds.

Novel Approach for Deriving Test Scenarios and Test Cases from Events

Sandeep K Singh,Sangeeta Sabharwal,J P Gupta 한국정보처리학회 2012 Journal of information processing systems Vol.8 No.2

Buckling of laminated composite plates subjected to mechanical and thermal loads using meshless collocations

Sandeep Singh,Jeeoot Singh,K. K. Shukla 대한기계학회 2013 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.27 No.2

Meshless collocations utilizing Gaussian and Multiquadric radial basis functions for the stability analysis of orthotropic and cross ply laminated composite plates subjected to thermal and mechanical loading are presented. The governing differential equations of plate are based on higher order shear deformation theory considering two different transverse shear stress functions. The plate governing differential equations are discretized using radial basis functions to cast a set of simultaneous equations. The convergence of both radial basis functions is studied for different values of shape parameters. Several numerical examples are undertaken to demonstrate the accuracy of present method and the effects of orthotropy ratio of the material, span to thickness ratio of the plate, and fiber orien-tation on critical load/temperature are also presented.

Self Nano-emulsifying Drug Delivery System: An Efficient Carrier in Nanomedicine

Sandeep Kumar SINGH,Se-Kwon KIM 한국생물공학회 2017 한국생물공학회 학술대회 Vol.2017 No.4

A Novel Approach for Deriving Test Scenarios and Test Cases from Events

Singh, Sandeep K.,Sabharwal, Sangeeta,Gupta, J.P. Korea Information Processing Society 2012 Journal of information processing systems Vol.8 No.2

Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test ma Safety critic Safety critical systems, real time systems, and event-based systems have a complex set of events and their own interdependency, which makes them difficult to test manually. In order to cut down on costs, save time, and increase reliability, the model based testing approach is the best solution. Such an approach does not require applications or codes prior to generating test cases, so it leads to the early detection of faults, which helps in reducing the development time. Several model-based testing approaches have used different UML models but very few works have been reported to show the generation of test cases that use events. Test cases that use events are an apt choice for these types of systems. However, these works have considered events that happen at a user interface level in a system while other events that happen in a system are not considered. Such works have limited applications in testing the GUI of a system. In this paper, a novel model-based testing approach is presented using business events, state events, and control events that have been captured directly from requirement specifications. The proposed approach documents events in event templates and then builds an event-flow model and a fault model for a system. Test coverage criterion and an algorithm are designed using these models to generate event sequence based test scenarios and test cases. Unlike other event based approaches, our approach is able to detect the proposed faults in a system. A prototype tool is developed to automate and evaluate the applicability of the entire process. Results have shown that the proposed approach and supportive tool is able to successfully derive test scenarios and test cases from the requirement specifications of safety critical systems, real time systems, and event based systems.

Structural and Magnetic Properties of Gd-Ni-co-doped BiFeO₃ Nanoparticles

Sandeep Kumar Singh Patel,Jae-Hyeok Lee,Min-Kwan Kim,Sang-Koog Kim 한국자기학회 2019 Journal of Magnetics Vol.24 No.3

Single-phase (GdNi)x(BiFe)1-x O₃ (x = 0, 0.025, and 0.05) nanoparticles of 30-40 nm particle size on average were fabricated using a sol-gel method. Transmission electron microscopy, X-ray diffraction as well as Raman spectral measurements and analyses revealed that the (GdNi)x(BiFe)1-xO₃ nanoparticles undergo a structural transformation from the rhombohedral R3c structure (for x = 0 and 0.025) to the triclinic P1 (for x = 0.05). X-ray photoemission spectroscopy served to confirm that co-doping of Gd<SUP>3+</SUP> and Ni<SUP>2+</SUP> ions decreases oxygen-vacancy concentration, reflecting less Fe<SUP>2+</SUP> content in the co-doped samples compared with pure BiFeO₃. Magnetization hysteresis loops showed that the magnetization value for x = 0.05 at 50 kOe increases significantly to M = 5.32 emu/g at 300 K and to 14.47 emu/g at 5 K, representing 760 and 690 % enhancements relative to those for x = 0. Fitting of the Curie-Weiss law to the observed magnetization-versus-temperature curves indicated the presence of weak ferromagnetic coupling in the samples. We also noted the exchange bias effect in the nano-size particles, possibly originating from exchange coupling between surface spins of an uncompensated ferromagnetic nature and core spins of an antiferromagnetic nature. We ascribed these significant improvements in the Gd-Ni-co-doped BiFeO₃ nanoparticles’ magnetic properties to the rhombohedral R3c to triclinic P1 structural transformation, due to the samples’ particle size being smaller than the modulation length of the canted antiferromagnetic ordering of the Fe<SUP>3+</SUP> spins. These enhanced magnetic properties, notably, might prove useful for a variety of spintronic applications.

Gravity Local Search Inspired Particle Swarm Algorithm for Economic Power Dispatch Planning Problem in Small Scale System

Navpreet Singh Tung,Sandeep Chakravorty,Harkamal Singh Bhullar 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.5

This research presents novel Particle swarm optimization inspired by gravitational based search method to solve active power dispatch problem in electrical power system planning. The proposed PSO utilizes the operator of social thinking coupled with search capacity of gravity inspired algorithm to formulate and develop technique for active power dispatch problem to satisfy power demand requirements. Optimal scheduling of generators and system constraints to match load demand and losses is successfully done with proposed method. Total operating cost is minimized satisfying various bounds of system with proposed method. Exploration and convergence efficiency are evaluated to checklist the computational efficiency and robustness of the proposed technique. The suggested technique is tested and evaluated on different test systems comprises three, five, six test systems. Test results are compared with other techniques presented in literature .Investigations shows promising results which further benchmark the effectiveness of proposed method to solve complex optimization non linear problems.

An Assessment model for Benchmarking in Manufacturing Industries

Bhupender Singh,Sandeep Grover,Vikram Singh 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12

Benchmarking is the decisive instrument for enhancement which proficient over assessment from former organizations predictable as the best within reason. Benchmarking provides an external focus which forces the organization to seem what the competitors are adopting. The manufacturing industries are focused in this study such as service, professionalism, replace ability, credibility and many more while bringing other processes up to stain and highlights different types of Benchmarking process used for different industries. Thus, the attempt has been made by authors to present an evaluation model for Benchmarking by using ANP approach. Here, ANP approach is used on the basis of software where, group of experts were consulted to establish interrelations and to provide weight age for pair wise comparison. Mutually spirit of experts will provide the identical results for the study and reasonably cooperative for managers to give assurance for internationally manufacturing industries.