B.P. Poddar Institute of Management and Technology or BPPIMT is an undergraduate college in West Bengal, India. It was established in 1999 by B.P. Poddar Foundation for Education. The college is affiliated with Maulana Abul Kalam Azad University of Technology and all the programmes are approved by the All India Council for Technical Education and the courses C.S.E., E.C.E., E.E., I.T. are accredited by NBA (National Board of Accreditation).The engineering campus is located at VIP Road, near Haldirams, Kolkata. It has a second campus in Sector V, Salt Lake which specializes in offering undergraduate programmes in the field of Management and Technology.
The electronic and magnetic properties of an extended-supercell Fe@Si-doped SiC nanotube were investigated using spin-polarized density functional theory. First, the electronic structure of the pristine SiC nanotube was analyzed, revealing a direct band gap of approximately 1.67 eV, confirming its intrinsic semiconducting character with a non-magnetic ground state. Subsequently, the substitutional doping of Fe at the Si site was introduced to explore the modification of electronic and magnetic properties. The calculated band structure demonstrates that Fe incorporation significantly reduces the band gap to approximately 0.37 eV, indicating strong impurity-induced electronic states within the band gap region. The spin-polarized density of states reveals a pronounced asymmetry between spin-up and spin-down channels, confirming the emergence of magnetism in the doped nanotube. Orbital-projected density of states analysis indicates that the magnetic behavior mainly originates from the partially filled Fe-3d orbitals, which strongly hybridize with the p orbitals of neighboring Si and C atoms. Mulliken population analysis shows that the Fe dopant carries a dominant magnetic moment of 3.14 µB, while smaller induced magnetic moments appear on surrounding atoms, leading to a total magnetic moment of 4.005 µB for the supercell. Geometry optimization results confirm that the doped nanotube is structurally stable with small residual forces and negligible internal stress. The combined electronic and magnetic analyzes demonstrate that Fe substitution effectively tunes the electronic structure and induces stable spin polarization in SiC nanotubes, suggesting promising applications in spintronic and nanoelectronic devices.
The usage of Natural Language Processing (NLP) technology powered by Artificial Intelligence in processing of customer feedback has helped in making critical decisions for business growth in the aviation sector. It is observed that in many of the cases, emojis and emoticons are found to convey a lot of significant information about the user’s opinion or experience regarding a certain product, a service or an event. Consequently, it is very much essential that these emojis/emoticons are considered for processing because they are found to play a vital role in sentiment expression, often conveying more explicit information than the text alone. Their inclusion helps in capturing nuanced sentiments, improving the overall accuracy of sentiment classification. In Spite of the fact that these elements are a significant part of the review comment provided by the customer, it is a common practice among the contemporary researchers to eliminate them right at the data-cleaning or the preprocessing stage. With an objective to provide a solution to the above drawback, we present a novel approach that performs sentiment analysis, with effective utilization of emojis and emoticons, upon the US Airline tweet dataset using various Machine Learning classifiers and the BERT model. Finally, the proposed model was evaluated using various performance metrics and achieved 92% accuracy, outperforming contemporary state-of-the-art frameworks by 9%.
In the emerging landscape of online social networks (OSNs), the rapid dissemination of misinformation poses a significant challenge to the integrity of information shared among users. Hence, misinformation containment problem in OSNs has drawn significant attention nowadays. In this paper, given a fixed budget, the problem is formulated as minimizing misinformation spread (MMS) problem, which is shown to be an NP-hard problem. With the objective to combat the misinformation in real time, this paper explores a new direction to leverage the network topology to minimize the search space drastically. Based on the community structure of the OSN along with the trust relationship among nodes, a novel linear-time seed node selection algorithm is proposed here that is independent of the positions of the misinformed nodes. Once the set of seed nodes is selected, it can combat any situation of misinformation spread in the OSN, provided the community structure of the network does not change significantly. To the best of our knowledge, this work is the first where trust relationship among users is considered along with the community structure of the network, to control the spread of misinformation in real time. To analyze the diffusion dynamics pertaining to both true information and misinformation, competitive linear threshold model (LTM) with provision for belief switching is followed to provide a more realistic and comprehensive understanding of information diffusion dynamics. Extensive experimental studies on large scale OSNs demonstrate that in comparison to earlier works, the proposed technique obtains 47–74 51× speedup compared to the earlier algorithms, revealing that the proposed technique is scalable on large scale OSNs for real-time restraint of misinformation.
In this problem, we have investigated the arbitrary amplitude dust-ion acoustic (DIA) nonlinear wave structures at the acoustic (sonic) speed M=M_c in a collisionless unmagnetized five components electron-positron-ion-dusty (e-p-i-d) plasma system of Halder et al. (Plasma Phys. Rep. 49, 467–483, 2023). The present plasma system confirms the existence of negative potential solitary waves (NPSWs), positive potential solitary waves (PPSWs), and negative potential double layers (NPDLs) at the acoustic speed M=M_c . We have studied the effect of different parameters of the system on the amplitude of PPSWs, NPSWs, and NPDLs at M=M_c . We have also analyzed the difference between various DIA nonlinear wave structures at supersonic speed, subsonic speed, and sonic speed through phase portraits of the dynamical system corresponding to nonlinear DIA wave structures.
TeraHertz (THz) band is the key potential candidate for 6G communication to provide large bandwidth and high data rate. Smaller wavelength in this high frequency band can reduce antenna size. However, large propagation loss in the THz frequency limits the communication distance. Multiple Input Multiple Output (MIMO) design has been introduced to compensate the attenuation of high frequency transmission. Modulation technique and antenna design needs to be addressed to explore TeraHertz communication. In this study 8 × 8 MIMO have been collaborated with power domain Non-Orthogonal Multiple Access (NOMA) and Orthogonal Frequency Division Multiplexing (OFDM). The system has been evaluated for two users using OFDM of 64 sub carriers and 1000 samples. System performance has been analyzed at 0.1THz frequency. Prior to transmission MIMO-OFDM precoding and spatial multiplexing have been implemented to improve the throughput, spectral efficiency and capacity. Simultaneous data transmission from multiple users at particular frequency has been enabled allocating different power ratio in NOMA. Besides, inter symbol interference can be mitigated using OFDM. Successive Interference Cancellation (SIC) technique has been applied to retrieve each user signal. Precoding, Beam steering, channel estimation and Maximum Ratio Combining techniques have been collaborated in this integrated system for the betterment of system performance. Bit Error Rate (BER) and channel capacity have been compared applying Binary Phase Shift Keying (BPSK), 8-Quadrature Phase Shift Keying (8-QPSK) and 8-Quadrature Amplitude Modulation (8-QAM) techniques. The obtained results prove the reliability of this new proposed system. Capacity can be enhanced in the range of hundreds of Gigabits per second (Gbps) applying this novel technique. This integrated system has the potential to meet the requirement of acceptable signal quality, throughput and the channel capacity for 5G and beyond communication system.
