Article
Economics
James R. Barth, Richard J. Cebula, Jiayi Xu
Summary: We used propensity score matching methodology to compare the performance of Minority Owned/Controlled Banks (MDIs) and Non-Minority Banks (NMDIs) in terms of profit rates and risk. Contrary to previous studies, our empirical results show that MDIs do not exhibit under- or over-performance compared to NMDIs. Additionally, there is no statistically significant difference between the sub-categories of MDIs (Black, Asian, Hispanic, and Native American) and NMDIs in terms of profitability and riskiness. Robustness checks using zip code and city-level data confirm these results effectively.
Article
Acoustics
Yishu Peng, Sheng Zhang, Jiashu Zhang, Wei Xing Zheng
Summary: This paper introduces two combined-sample multiband-structured subband adaptive filters and verifies the superiority of the CMS-MSAF algorithm in system identification and acoustic echo cancellation applications through experimental results.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
(2022)
Article
Engineering, Multidisciplinary
Prasad Chaphekar, Aniket Bhatia, Shubhang Bhatnagar, Abhiraj Kanse, Ashish V. Vanmali, Vikram M. Gadre
Summary: Principal Component Filter Bank (PCFB) is considered optimal in terms of coding gain for specific conditions. This paper presents analytic proofs for the monotonicity of specific shapes of PSDs, and derives properties of coding gain of PCFBs, which brings new insights on the coding gain of Principal Component Filter Banks.
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
(2023)
Article
Computer Science, Information Systems
Ayan Kumar Dutta, Shiv Dutt Joshi, Sandeep Patel, Brejesh Lall
Summary: This paper aims to quantify the difference between a time-varying system and time-invariance. The time variance of filter banks is quantified using kernel representation. The off-diagonal matrix elements can be used to deduce the time-varying behavior of a system, proving that time-invariant and time-varying components can be separated. The research offers a new kernel-based definition for time variance and provides explicit expressions for quantifying the degree of time variance for different scenarios.
Article
Engineering, Electrical & Electronic
J. R. Zuluaga, J. L. Naredo, L. J. Castanon, M. Vega, O. Ramos-Leanos
Summary: A new technique for electromagnetic transient analysis in power systems is proposed, which synthesizes the system model in the Laplace domain and simulates it in the time domain using Kron's method and polyphase QMF filter-banks to reduce computation costs and execution times. The technique is applied to simulate a transient on a 17-bus network, with results compared to conventional methods and PSCAD/EMTDC. Additionally, a basic implementation on an FPGA shows the suitability of the technique for parallel processing.
ELECTRIC POWER SYSTEMS RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Wei Huang, Wei Cheng
Summary: A novel quaternion algorithm for enhancing convergence rate of estimation error in the presence of highly correlated input signals is proposed. The algorithm decomposes the input signal into multiple channels for effective signal processing.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2022)
Article
Engineering, Electrical & Electronic
Ruijie Zhao, David B. Tay
Summary: We address the issue of designing high spectral selectivity graph filter banks using high-degree polynomial approximation. The minimax criterion and constraint optimization method are employed in the design process to achieve sharp transition band roll. A spectral transformation is used to overcome numerical problems with high-degree polynomials, allowing the approximation problem to be recast as an approximation problem with trigonometric polynomials. The transformed constraint optimization problem can be solved using the sequential quadratic programming (SQP) method.
Article
Engineering, Electrical & Electronic
Xiumei Li, Xianpeng Wang, Ronggang Qi, Guoan Bi
Summary: This study reports on deriving computationally efficient filter bank structures through simple graphic transformations, which are elegantly simple and straightforward in concept. These procedures can flexibly be used to find efficient structures of both maximally and non-maximally decimated filter banks, with lower computational complexity for the non-maximally decimated filter banks compared to those reported in the literature.
DIGITAL SIGNAL PROCESSING
(2021)
Article
Business
Jingwen Yang, Qingbin Gong, Javier Sendra Garcia, Bing Xu
Summary: The role of niche banks and mega banks in financing small firms has been studied in the context of a Chinese public guarantee scheme. The results show that the public guarantee funds have crowding-in effects on credit from niche banks while generating crowding-out effects on credit from mega banks. The study also suggests that the public guarantee scheme indirectly promotes the credit supply of niche banks through two different processes.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Junzheng Jiang, Hairong Feng, David B. Tay, Shuwen Xu
Summary: This paper develops the theory and design of a joint time-vertex nonsubsampled filter bank using a generalized product graph framework. Several methods for designing the filter bank with perfect reconstruction and good spectral characteristics are proposed. A notable feature is that the filter bank can be completely realized in a distributed manner, reducing implementation complexity and suitable for processing large time-varying datasets.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2021)
Article
Computer Science, Information Systems
Sumit Adak, Sukanya Mukherjee, Sukanta Das
Summary: This paper discusses the Configuration Reachability Problem (CREP) for non-uniform cellular automata (CAs) and presents an algorithm to determine reachability between configurations. Despite exponential complexity in the worst case, the algorithm shows very good average performance.
INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Junfei Cui, Guangyao Han, Yishan Su, Xiaomei Fu
Summary: This paper proposes a novel non-uniform non-orthogonal multicarrier modulation scheme (F-NNMC) based on frequency characteristics of compressed sonar image data to improve the efficient and reliable sonar image transmission for autonomous underwater vehicles (AUV). The F-NNMC scheme improves spectrum efficiency and information reliability by utilizing the non-orthogonality and non-uniform subcarrier structures in modulation. Simulation and experiments demonstrate that F-NNMC outperforms orthogonal and non-orthogonal modulations in terms of resource utilization and signal quality metrics like PSNR, SSIM, and BER.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Business, Finance
John Thornton, Caterina Di Tommaso
Summary: The study shows that the impact of NPLs on bank credit growth depends on the level of bank capital and profitability, and whether NPLs impede the monetary policy transmission mechanism. Therefore, reducing NPLs and sustaining bank credit requires protecting bank capital and profitability.
INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS
(2021)
Article
Engineering, Electrical & Electronic
W. Jin, Z. Q. Zhong, S. Jiang, J. X. He, D. Chang, Y. H. Hong, R. P. Giddings, X. Q. Jin, M. O'Sullivan, T. Durrant, J. Trewern, G. Mariani, J. M. Tang
Summary: This paper proposes a novel rectangular orthogonal digital filter bank based on the extended Gaussian function, which exhibits excellent performance and robustness for multi-channel upstream PON systems. Compared to the SRRC-based digital filter bank, the EGF-based approach reduces the complexity of digital filtering while improving performance.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
M. Shams Esfand Abadi, J. H. Husoy, M. J. Ahmadi
Summary: The IMSAF algorithm improves the convergence rate of MSAF by applying input regressors at each subband, but at the cost of increased complexity. This research introduces two new IMSAF algorithms with low computational complexity features: SPU-IMSAF and SM-IMSAF. The combination of SM and SPU methods results in the introduction of SM SPU IMSAF with improved performance demonstrated through simulations.
Article
Engineering, Chemical
Chandrakant R. Sonawane, Kuldeep Tolia, Anand Pandey, Atul Kulkarni, Hitesh Punchal, Kishor Kumar Sadasivuni, Anil Kumar, Mohammad Khalid
Summary: In this paper, a numerical investigation and evaluation of the thermal characteristics of a closed-loop pulsating heat pipe are performed. The volume of fluid method is used to simulate the two-phase flow inside the heat pipe, and the numerical results are compared and validated with experimental data. The study concludes that a filling ratio of 65% is the optimized charge quality for the current configuration of the pulsating heat pipe.
CHEMICAL ENGINEERING COMMUNICATIONS
(2023)
Article
Environmental Sciences
Asim Ahmad, Om Prakash, Anil Kumar
Summary: In this study, a heat storage-based hybrid greenhouse dryer was developed and analyzed for drying bitter gourd flakes under the climatic condition of Ranchi, India. The drying efficiency, drying kinetics, property analysis, economic analysis, embodied energy, and CO2 mitigation of the hybrid greenhouse dryer were evaluated. The results showed that the proposed system significantly reduced the drying time compared to open sun drying, and it had superior metal content and environmental sustainability.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Industrial
Anil Kumar, Sangita Choudhary, Jose Arturo Garza-Reyes, Vikas Kumar, Syed Abdul Rehman Khan, Nishikant Mishra
Summary: Many threats such as scarcity of sources and climate change are driving businesses to reexamine their commitment to the environment and society. As a result, companies are integrating long-term sustainable practices into their operations, such as circular supply chain (CSC) and Industry 4.0. This study aims to analyze the critical success factors (CSFs) for the integration of CSC and Industry 4.0 to achieve sustainable supply chain operations. The research findings highlight the importance of "knowledge of CSC and Industry 4.0" and "top management commitment".
PRODUCTION PLANNING & CONTROL
(2023)
Article
Green & Sustainable Science & Technology
Upendra Rajak, Abhishek Dasore, Prem Kumar Chaurasiya, Tikendra Nath Verma, Prerana Nashine, Anil Kumar
Summary: In this study, the fuel blend combination of spirulina microalgae biodiesel (SMAB), diesel, ethanol, and methanol was prepared and assessed. It was found that increasing the percentage of SMAB in the blend improves spray characteristics and engine performance, while reducing smoke and NOX emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Management
Guilherme F. Frederico, Vikas Kumar, Jose Arturo Garza-Reyes, Anil Kumar, Rohit Agrawal
Summary: This study investigates the impact of I4.0 technologies and their interoperability on supply chain performance and explores how the integration of such technologies and their interoperability can create pathways for supply chain resilience post-COVID-19. The findings indicate that the integration of I4.0 technologies and their interoperability have a positive impact on supply chain performance and profitability, but do not improve efficiency.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Sathishkumar Karupusamy, J. Refonaa, Sakthidasan Sankaran, Priyanka Dahiya, Mohd Anul Haq, Anil Kumar
Summary: The development of IoT systems has created higher demands for processing and storage environment, as well as raised issues such as energy consumption and data compression. This article proposes an approach that utilizes data mining to optimize energy usage and compress data, validated through the analysis of driving behavior.
Article
Computer Science, Information Systems
Himanshu Singh, Anil Kumar, Lokendra K. Balyan
Summary: This paper introduces an image enhancement method based on fractional differintegral based adaptive filtering, which utilizes the advantages of fractional-order differentiation and fractional-order integration for adaptive textural boosting and contrast enhancement. It also proposes a differintegration based fractional-order multi-scale Retinex framework for effective reflectance channel computation. The paper discusses the compatibility of the proposed method with other image pre-processing methods and presents different variants for overall quality improvement.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
B. Sarkar, B. Das, P. K. Sundaram, S. S. Mali, A. P. Anurag, A. Upadhyaya, N. Chandra, B. P. Bhatt, A. Kumar
Summary: This study analyzed the energy input-output and GHG emission in vegetable production in the Chotanagpur plateau region and found that both tomato and okra cultivation were profitable. The study also emphasized the importance of efficient input use in reducing GHG emissions.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Management
Luai Jraisat, Mohannad Jreissat, Arvind Upadhyay, Anil Kumar
Summary: This research explores the integration of Blockchain Technology (BCT) with Reverse Supply Chain Networks (RSCN) and its impact on sustainability performance. A conceptual framework for BCT in RSCN was developed through qualitative research, using primary and secondary data from four case studies in Jordan. The findings highlight the potential of BCT in improving sustainability performance in supply chains.
SUPPLY CHAIN FORUM
(2023)
Review
Engineering, Electrical & Electronic
Geetam Richhariya, Anil Kumar, Akash Kumar Shukla, K. N. Shukla, Bhim Charan Meikap
Summary: Dye-sensitized solar cells (DSSCs) are a cost-effective, easy-to-fabricate, and eco-friendly option among photovoltaic devices. The choice of counter electrode (CE) materials significantly impacts the performance of DSSCs. By exploring economical and stable alternatives to expensive platinum, the efficiency of DSSCs can be improved. This article focuses on various replacements for platinum-based CEs, offering innovative research opportunities in the field of renewable energy.
JOURNAL OF ELECTRONIC MATERIALS
(2023)
Article
Food Science & Technology
Shimpy, Mahesh Kumar, Anil Kumar
Summary: This article provides an overview of solar drying technologies for small rural agricultural farms, focusing on domestic applications. A significant amount of perishable items are wasted annually at the household level due to various reasons. The article reviews and presents natural and forced convection solar dryers, highlighting their temperature and thermal efficiency. Natural convection solar dryers are suitable for rural areas due to their simple design and lower requirements, while forced convection solar dryers offer better performance and faster drying time for high moisture content products. The designs of indirect and mixed-mode solar dryers in domestic applications are rare. Solar dryers have the potential to reduce drying costs by 50% and improve returns by 30%.
FOOD ENGINEERING REVIEWS
(2023)
Article
Business
Yigit Kazancoglu, Melisa Ozbiltekin-Pala, Muruvvet Deniz Sezer, Sunil Luthra, Anil Kumar
Summary: COVID-19 has significantly impacted global food supply chains, leading to the need for new business models and production approaches to enhance resilience. This study examines the advantages and risks of integrating blockchain technology into reverse logistics activities, using a fuzzy synthetic evaluation method to eliminate these risks.
BUSINESS STRATEGY AND THE ENVIRONMENT
(2023)
Article
Management
Ashutosh Samadhiya, Rajat Agrawal, Sunil Luthra, Anil Kumar, Jose Arturo Garza-Reyes, Deepak Kumar Srivastava
Summary: This research establishes a conceptual model to understand the impact of Total Productive Maintenance (TPM) and Industry 4.0 (I4.0) on the transition of a Circular Economy (CE). The study finds that I4.0 positively impacts TPM, CE, and sustainability performance (SP) of manufacturing firms. TPM also has a positive impact on CE and SP. The study identifies TPM, I4.0, and CE as dynamic capabilities that contribute to SP in manufacturing firms.
INTERNATIONAL JOURNAL OF LOGISTICS MANAGEMENT
(2023)
Article
Business
Naveen Virmani, Urmi Ravindra Salve, Anil Kumar, Sunil Luthra
Summary: This article identifies the roadblocks of implementing Industry 4.0 through a literature review and expert opinions. The roadblocks are categorized into five sections and validated through a case study in the automobile industry. The implications for industrialists, practitioners, and academicians are provided.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2023)
Article
Engineering, Electrical & Electronic
Shresth Gupta, Anurag Singh, Abhishek Sharma, Rajesh Kumar Tripathy
Summary: Wearable health-monitoring devices based on photoplethysmogram (PPG) can estimate valuable physiological parameters and are often regarded as a touchstone for indicating the cardiovascular status of a person. Severe motion artifacts are generally observed in the acquired PPG signals from the biosensors in the wearables when the PPG acquisition is performed during different physical activities.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2023)
Article
Computer Science, Artificial Intelligence
Jin Zhang, Zekang Bian, Shitong Wang
Summary: This study proposes a novel style linear k-nearest neighbor method to extract stylistic features using matrix expressions and improve the generalizability of the predictor through style membership vectors.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Qifeng Wan, Xuanhua Xu, Jing Han
Summary: In this study, we propose an innovative approach for dimensionality reduction in large-scale group decision-making scenarios that targets linguistic preferences. The method combines TF-IDF feature similarity and information loss entropy to address challenges in decision-making with a large number of decision makers.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Hegui Zhu, Yuchen Ren, Chong Liu, Xiaoyan Sui, Libo Zhang
Summary: This paper proposes an adversarial attack method based on frequency information, which optimizes the imperceptibility and transferability of adversarial examples in white-box and black-box scenarios respectively. Experimental results validate the superiority of the proposed method and its application in real-world online model evaluation reveals their vulnerability.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Jing Tang, Xinwang Liu, Weizhong Wang
Summary: This paper proposes a hybrid generalized TODIM approach in the Fine-Kinney framework to evaluate occupational health and safety hazards. The approach integrates CRP, dynamic SIN, and PLTSs to handle opinion interactions and incomplete opinions among decision makers. The efficiency and rationality of the proposed approach are demonstrated through a numerical example, comparison, and sensitivity studies.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Shigen Shen, Chenpeng Cai, Zhenwei Li, Yizhou Shen, Guowen Wu, Shui Yu
Summary: To address the damage caused by zero-day attacks on SIoT systems, researchers propose a heuristic learning intrusion detection system named DQN-HIDS. By integrating Deep Q-Networks (DQN) into the system, DQN-HIDS gradually improves its ability to identify malicious traffic and reduces resource workloads. Experiments demonstrate the superior performance of DQN-HIDS in terms of workload, delayed sample queue, rewards, and classifier accuracy.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
Summary: In this paper, we propose a Chinese text classification algorithm based on deep active learning for the power system, which addresses the challenge of specialized text classification. By applying a hierarchical confidence strategy, our model achieves higher classification accuracy with fewer labeled training data.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Kaan Deveci, Onder Guler
Summary: This study proves the lack of robustness in nonlinear IF distance functions for ranking intuitionistic fuzzy sets (IFS) and proposes an alternative ranking method based on hypervolume metric. Additionally, the suggested method is extended as a new multi-criteria decision making method called HEART, which is applied to evaluate Turkey's energy alternatives.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Fu-Wing Yu, Wai-Tung Ho, Chak-Fung Jeff Wong
Summary: This research aims to enhance the energy management in commercial building air-conditioning systems, specifically focusing on chillers. Ridge regression is found to outperform lasso and elastic net regression when optimized with the appropriate hyperparameter, making it the most suitable method for modeling the system coefficient of performance (SCOP). The key variables that strongly influence SCOP include part load ratios, the operating numbers of chillers and pumps, and the temperatures of chilled water and condenser water. Additionally, July is identified as the month with the highest potential for performance improvement. This study introduces a novel approach that balances feature selection, model accuracy, and optimal tuning of hyperparameters, highlighting the significance of a generic and simplified chiller system model in evaluating energy management opportunities for sustainable operation. The findings from this research can guide future efforts towards more energy-efficient and sustainable operations in commercial buildings.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Xiaoyan Chen, Yilin Sun, Qiuju Zhang, Xuesong Dai, Shen Tian, Yongxin Guo
Summary: In this study, a method for dynamically non-destructive grasping of thin-skinned fruits is proposed. It utilizes a multi-modal depth fusion convolutional neural network for image processing and segmentation, and combines the evaluation mechanism of optimal grasping stability and the forward-looking non-destructive grasp control algorithm. The proposed method greatly improves the comprehensive performance of grasping delicate fruits using flexible hands.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Yuxuan Yang, Siyuan Zhou, He Weng, Dongjing Wang, Xin Zhang, Dongjin Yu, Shuiguang Deng
Summary: The study proposes a novel model, POIGDE, which addresses the challenges of data sparsity and elusive motives by solving graph differential equations to capture continuous variation of users' interests. The model learns interest transference dynamics using a time-serial graph and an interval-aware attention mechanism, and applies Siamese learning to directly learn from label representations for predicting future POI visits. The model outperforms state-of-the-art models on real-world datasets, showing potential in the POI recommendation domain.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
S. Karthika, P. Rathika
Summary: The widespread development of monitoring devices in the power system has generated a large amount of power consumption data. Storing and transmitting this data has become a significant challenge. This paper proposes an adaptive data compression algorithm based on the discrete wavelet transform (DWT) for power system applications. It utilizes multi-objective particle swarm optimization (MO-PSO) to select the optimal threshold. The algorithm has been tested and outperforms other existing algorithms.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Jiaqi Guo, Haiyan Wu, Xiaolei Chen, Weiguo Lin
Summary: In this study, an adaptive SV-Borderline SMOTE-SVM algorithm is proposed to address the challenge of imbalanced data classification. The algorithm maps the data into kernel space using SVM and identifies support vectors, then generates new samples based on the neighbors of these support vectors. Extensive experiments show that this method is more effective than other approaches in imbalanced data classification.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Qiumei Zheng, Linkang Xu, Fenghua Wang, Yongqi Xu, Chao Lin, Guoqiang Zhang
Summary: This paper proposes a new semantic segmentation network model called HilbertSCNet, which combines the Hilbert curve traversal and the dual pathway idea to design a new spatial computation module to address the problem of loss of information for small targets in high-resolution images. The experiments show that the proposed network performs well in the segmentation of small targets in high-resolution maps such as drone aerial photography.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Mojtaba Ashour, Amir Mahdiyar
Summary: Analytic Hierarchy Process (AHP) is a widely applied technique in multi-criteria decision-making problems, but the sheer number of AHP methods presents challenges for scholars and practitioners in selecting the most suitable method. This paper reviews articles published between 2010 and 2023 proposing hybrid, improved, or modified AHP methods, classifies them based on their contributions, and provides a comprehensive summary table and roadmap to guide the method selection process.
APPLIED SOFT COMPUTING
(2024)
Review
Computer Science, Artificial Intelligence
Gerardo Humberto Valencia-Rivera, Maria Torcoroma Benavides-Robles, Alonso Vela Morales, Ivan Amaya, Jorge M. Cruz-Duarte, Jose Carlos Ortiz-Bayliss, Juan Gabriel Avina-Cervantes
Summary: Electric power system applications are complex optimization problems. Most literature reviews focus on studying electrical paradigms using different optimization techniques, but there is a lack of review on Metaheuristics (MHs) in these applications. Our work provides an overview of the paradigms underlying such applications and analyzes the most commonly used MHs and their search operators. We also discover a strong synergy between the Renewable Energies paradigm and other paradigms, and a significant interest in Load-Forecasting optimization problems. Based on our findings, we provide helpful recommendations for current challenges and potential research paths to support further development in this field.
APPLIED SOFT COMPUTING
(2024)
