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Financial accounts reconciliation system using enhanced mapping algorithm

International Journal of Business Intelligence and Data Mining 2022年第2期21卷 171-189页

作者： Sarumi, Olufunke Oluyemi Ojokoh, Bolanle Adefowoke Sarumi, Oluwafemi Abimbola Adewale, Olumide Sunday Department of Computer Science Federal University of Technology Akure Nigeria Department of Information Systems Federal University of Technology Akure Nigeria

Account reconciliation has become a daunting task for many financial organisations due to the heterogeneity of data involved in the accounts’ reconciliation process – coupled with the recent data deluge in many accounting firms. Many organisations are using a heuristic-based algorithm for their account reconciliation process while in some firms the process is completely manual. These methods are already inundated and were no longer efficient in light of the recent data explosion and are prone to lots of errors that could expose the organisations to several financial risks. In this regard, there is a need to develop a robust financial data analytic algorithm that can effectively handle the account reconciliation needs of financial organisations. In this paper, we propose a computational data analytic model that provides an efficient solution to the account reconciliation bottlenecks in financial organisations. Evaluation results show the effectiveness of our data analytic model for enhancing faster decision making in financial account reconciliation systems. Copyright © 2022 Inderscience Enterprises Ltd.

关键词： Big data

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Analysis of Antenna-to-Antenna Spatial Correlation in Multi-User Millimeter-Wave systems

Analysis of Antenna-to-Antenna Spatial Correlation in Multi-...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Kumar, Deepak Prakash, Febin Shukla, Gaurav Vivekananda Global University Department of Mathematics Jaipur India Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798350383348

this paper investigates the antenna-to-antenna spatial correlation of a multi-consumer millimeter-wave (mm Wave) system, considering the angular spread of every randomly located antenna inside the mobile. A signal-power-dependent correlation model based on the azimuth perspective domain is proposed. Furthermore, an iterative clustering set of rules for unmarried-cellular beam forming is advanced and analyzed to quantify the performance of multi-user mm Wave structures. Simulation outcomes show that after the angular spread exceeds 20°, the antenna-to-antenna correlation must be considered within the analysis. The beam forming overall performance with antenna correlation substantially progresses with a reduction in the number of antennas, and the benefit increases because the angular spread increases. © 2024 IEEE.

关键词： Beam forming Dependent Investigates Perspective Reduction Spread

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Optimizing Fuzzy system of Fuzzy Time Series for Hyper Spectral Image Classification

Optimizing Fuzzy System of Fuzzy Time Series for Hyper Spect...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Nidhya, M.S. Naval, Preeti Kumar, Ravindra Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Mathematics Jaipur India

ISBN: (纸本)9798350383348

This research paper examines the capability of fuzzy time collection for hyperspectral photograph classification. Fuzzy time series (FTS) is a time series in which fuzzy standards are used to model the styles within the facts. FTS can be used to explain complex temporal styles in the records, and as a consequence making it possible to categorize photographs more extraordinarily accurately., this look proposes an optimization method primarily based on genetic seek techniques. The optimization algorithm is designed to discover the high-quality FTS parameters that yield first-rate type accuracy. The efficacy of the proposed technique is evaluated on hyperspectral facts set with extraordinary experimental scenarios. The results of the test display that the proposed method can enhance the accuracy of photo classification and the use of FTS considerably. Hence, the proposed method gives a promising technique that can be used to classify hyperspectral snapshots efficiently. The paper affords an optimized fuzzy machine of fuzzy time collection for the hyperspectral photograph category. The proposed device consists of 3 levels: pre-processing, version creation, and optimization. Throughout the pre-processing level, statistical and spectral analyses are executed to acquire the applicable attributes for developing the fuzzy time collection. The model construction degree then uses the bushy time series to extract between-class separability for the photo type. It is followed utilizing the optimization stage, related to the software of differential evolution, to minimize the complexity of the proposed machine while still enhancing the type accuracy. The proposed machine has been correctly carried out to a real-international hyperspectral dataset and demonstrates widespread upgrades in class accuracy over existing methods. © 2024 IEEE.

关键词： accurately extraordinarily hyperspectral photographs primarily

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Application of Permanent Magnet Synchronous Motors in Electric Drive systems

Application of Permanent Magnet Synchronous Motors in Electr...

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2024 International Conference on Optimization Computing and Wireless Communication, ICOCWC 2024

作者： Mehta, Deepak Kumar, Ritesh Shah, Pradeep Kumar Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Teerthanker Mahaveer University Department of Computing Sciences and Information Technology Uttar Pradesh Moradabad India

ISBN: (纸本)9798350383348

Everlasting Magnet Synchronous vehicles (PMSMs) are becoming increasingly famous in electric-powered power structures due to their great efficiency and overall performance traits. PMSMs are synchronous motors that use everlasting magnets to supply torque. They provide easy and coffee-cost control answers and can be used for a spread of programs along with electric-powered motors, domestic appliances, and commercial automation. PMSMs are, in particular, appealing to electric pressure system programs due to their better electricity density, higher efficiency, better velocity variety, and less complicated manipulation than different synchronous vehicles. The precept in the back of the PMSM is that the rotor, which contains everlasting magnets, interacts with the rotating magnetic area created via the stator windings. The stator windings are energized via an outside strength digital supply, and the ensuing alternating cutting-edge creates a magnetic area, which in flip produces torque on the rotor. This torque causes the rotor to rotate and produce mechanical power. The torque of the PMSM can be managed through various amplitudes and segments of the stator modern-day. This adaptability makes PMSMs perfect for use in variable-speed power applications consisting of electric automobiles. © 2024 IEEE.

关键词： Everlasting Magnetic Synchronous Windings

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IoT Based systems and Services: Recent Security Concerns and Feasible Solutions 1

IoT Based Systems and Services: Recent Security Concerns and...

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1st IEEE Karachi Section Humanitarian technology Conference, Khi-HTC 2024

作者： Attaullah, Hafiz Muhammad Memon, Shahzad Erkan, Ozlem Feyza Khawar, Ruba Mohammad Ali Jinnah University Department of Computer Science Karachi Pakistan Beykoz University Faculty of Engineering and Architecture Department of Computer Engineering Istanbul Turkey NED University of Engineering and Technology Faculty of Information Sciences and Humanities Karachi Pakistan

ISBN: (纸本)9798350373042

The term Internet of Things (IoT) is used to refer as embedded devices or objects with internet access, allowing them to communicate globally, interacting with people and networks. IoT security issues are directly related to the widespread use of its systems. This paper examines the security technologies employed in IoT and their respective features and applications. Additionally, it addresses the various security concerns associated with IoT-based systems and services, highlighting their occurrence within the three-layer framework of IoT. These days, as IoT introduces advanced application architectures that minimizes human intervention by integrating businesses in some way to address digital computer processes by communicating within a given network. Moreover, it will be discussed the key technologies associated with Advanced Encryption Standards (AES) and the changes brought in market value and usage of services that has been taken place b since the IoT incorporated. © 2024 IEEE.

关键词： Network security

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Analysis and Assessment of Wind Energy Potential of Socotra Archipelago in Yemen

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computers, Materials & Continua 2022年第1期70卷 1177-1193页

作者： Murad A.Almekhlafi Fahd N.Al-Wesabi Imran Khan Nadhem Nemri Khalid Mahmood Hany Mahgoub Noha Negm Amin M.El-Kustaban Ammar Zahary Department of Electrical Engineering–Communication Engineering Sana’a UniversityYemen Department of Computer Science King Khalid UniversityMuhayel AseerKingdom of Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Electrical Engineering University of Engineering and TechnologyPeshawarP.O.B 814Pakistan Department of Information Systems King Khalid UniversityMayahel AseerKSA Computer Science Department King Khaled UniversityKSA&Faculty of Computers and InformationComputer Science DepartmentMenoufia UniversityEgypt Computer Science Department King Khaled UniversityKSA&Faculty of ScienceDepartment of Mathematics and Computer ScienceMenoufia UniversityEgypt Electronics Department Faculty of EngineeringUSTSana’aYemen Faculty of Computer and IT Sana’a UniversityYemen

The increasing use of fossil fuels has a significant impact on the environment and ecosystem,which increases the rate of *** the high potential of renewable energy sources inYemen and the absence of similar studies in the region,this study aims to examine the potential of wind energy in Socotra *** was done by analyzing and evaluating wind properties,determining available energy density,calculating wind energy extracted at different altitudes,and then computing the capacity factor for a number of wind turbines and determining the *** average wind speed in Socotra Island was obtained from the Civil Aviation and Meteorology Authority data,only for the five-year data currently *** results showed high wind speeds from June to September(9.85-14.88 m/s)while the wind speed decreased for the rest of the *** average wind speed in the five years was 7.95 m/*** average annual wind speed,wind energy density,and annual energy density were calculated at different altitudes(10,30,and 50 m).According to the International Wind Energy Rating criteria,the region of Socotra Island falls under Category 7 and is classified as‘Superb’for most of the *** study provides useful information for developing wind energy and an efficient wind approach.

关键词： Energy potential wind characteristics Weibull distribution wind power density Socotra island

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Minimizing energy consumption in fixed node networks using a novel neutrosophic model: comparative analysis with standard and existing algorithms

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International Journal of information technology (Singapore) 2025年 1-15页

作者： Ghimire, Sangam Bhurtel, Nirjal Jha, Sudan Ahmad, Sultan Abdeljaber, Hikmat A. M. Nazeer, Jabeen Department of Computer Science and Engineering Kathmandu University 28 kilo Bagmati Dhulikhel 45210 Nepal Department of Computer Science College of Computer Engineering and Sciences Prince Sattam Bin Abdulaziz University Al-kharj 11942 Saudi Arabia School of Computer Science and Engineering Lovely Professional University Punjab Phagwara 144411 India Department of Computer Science Faculty of Information Technology Applied Science Private University Amman Jordan MEU Research Unit Middle East University Amman 11831 Lebanon

The growing development and utilization of networked systems has led to more concern regarding the energy efficiency of these systems. In this paper, we present a novel approach to minimizing energy consumption in fixed node network for which we propose a new Neutrosophic model. This model leverages the unique strengths of Neutrosophic logic to enhance the efficiency by minimizing the energy consumption. The simulation of results is performed using Matplotlib (Python) with implementation parameters such as number of nodes (n) and additive white Gaussian noise (AWGN) (η). Additionally, we show a comparative analysis between the proposed model and other prevalent approaches used in minimizing energy consumption in networked systems. The comparative results shows improvement in energy efficiency, showcasing the potential of the proposed model as an alternative for optimizing energy consumption in networked systems. This work highlights the effectiveness of the proposed model and opens new avenues for future advancements in energy-efficient networked system using Neutrosophic approach. © Bharati Vidyapeeth's Institute of computer Applications and Management 2025.

关键词： Comparative analysis Energy-consumption optimization Networked systems Neutrosophic model Sensitivity analysis

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Comprehensive Overview and Analytical Study on Automatic Bird Repellent Laser system for Crop Protection

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Journal of Harbin Institute of technology(New Series) 2024年第1期31卷 38-53页

作者： Sireesha Abotula Srinivas Gorla Prasad Reddy PVGD Mohankrishna S Department of Computer Science and Engineering GITAM Deemed to be UniversityVisakhapatnam 530045India Department of Information Technology Andhra UniversityVisakhapatnam 530003India Department of Computer Science and Systems Engineering Andhra UniversityVisakhapatnam 530003India

Birds are a huge hazard to agriculture all around the world,causing harm to profitable field *** use a variety of techniques to keep them away,including visual,auditory,tactile,and olfactory deterrents. This study presents a comprehensive overview of current bird repellant approaches used in agricultural contexts,as well as potential new ways. The bird repellent techniques include Internet of Things technology,Deep Learning,Convolutional Neural Network,Unmanned Aerial Vehicles,Wireless Sensor Networks and Laser biotechnology. This study’s goal is to find and review about previous approach towards repellent of birds in the crop fields using various technologies.

关键词： Bird repellent crop protection IoT UAV Deep Learning

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Leveraging AI for Enhancing Robustness and Optimization in Constraint-Based Job-Shop Scheduling with Operators

Leveraging AI for Enhancing Robustness and Optimization in C...

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2024 International Conference on Decision Aid sciences and Applications, DASA 2024

作者： Mahfuri, Mahmoud Ghwanmeh, Sameh Khishe, Mohammad Saeed, Ali International University for Science and Technology Computer and Information Technology Department Syria College of Computer Information Technology American University in the Emirates Computer Science Dept United Arab Emirates Innovation Center for Artificial Intelligence Applications Yuan Ze University Taiwan Jadara Research Center Jadara University Jordan Computer Center Northern Technical University Ninevah Iraq

ISBN: (纸本)9798350369106

in complex scheduling scenarios, such as the Job Scheduling Problem (JSP) faced by human operators, the challenge is to optimize the total time mandatory to complete all jobs and the reliability of the schedule. This paper presents a unified approach that combines constraint satisfaction (CSP) techniques with heuristic algorithms to resolve JSP using operators called JSO(n, p), where n is the number of tasks and p is the number of data. The main aims are to minimize the total time required to complete all tasks and to maximize system consistency under uncertainties such as equipment failure or operator unavailability. We analysis branch-and-bound (BB) methods, neural networks, and hybrid algorithms to achieve optimal software solutions. This paper also assesses the impact of bus constraints on traditional scheduling models and suggests solutions for reliability. The evaluation of various algorithmic strategies and extensive experiments on many sampling problems demonstrate the balance between robustness and optimality. © 2024 IEEE.

关键词： Scheduling algorithms

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Explain Ability, Fairness and Trust in Data systems and Analysis

Explain Ability, Fairness and Trust in Data Systems and Anal...

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2023 computer Applications and Technological Solutions, CATS 2023

作者： Hasan, Muhammad Zulkifl Hussain, Muhammad Zunnurain Fatima, Haniya Ayub, Malaika Nosheen, Summaira Mubarak, Zaima Chuhan, Saad Hussain Mustafa, Muzzamil University of Central Punjab Faculty of Information Technology Department of Computer Science Lahore Pakistan Bahria University Lahore Campus Department of Computer Science Lahore Pakistan Information Technology University of Punjab Department of Economics Lahore Pakistan National College of Business Administration & Economics Department of Computer Science DHA Campus Lahore Pakistan

ISBN: (纸本)9798350383881

From credit scoring algorithms to face recognition systems, data-driven technologies are already impacting our lives and choices. To guarantee that new technologies function for the advantage of everyone, rather than perpetuating prejudices and discrimination, we have to address the ability, fairness, and trustworthiness of data systems and analysis. In literature, ability of data systems and analysis is defines as the capability of data systems to capture, store, retrieve, and manipulate data in large databases. Fairness of data systems means making sure that the usage of data and analytics does not result in biased or discriminating results for individuals or organizations. Trust is an essential factor in the effectiveness and acceptability of data systems and analysis. Without trust, people may be unwilling to utilize or disclose their data with such systems, hampering their ability to give useful insights and take advantages of data systems. To analyze, the ability, fairness, and trust in data systems and analysis, researchers have used secondary, qualitative data. Researchers have used scholarly publications, research papers, and reports taken from credible and peer-reviewed research journals. Using the data, researchers came to the result that data systems analysis have enhanced decision making process and helped us to improve our productivity in daily-life activities, through its capabilities of capturing, stories, retrieving and manipulating data. Yet, there are issues regarding the fairness of data systems. While progress achieved in tackling fairness issues, trust issues concerning data systems and analysis exist owing to data breaches suffered by huge databases globally. To conclude, in order to create trust in data systems and analysis, firms need to concentrate on security, data quality, transparency and accountability of data. This requires implementing strong access limits, leveraging high-quality data sources, being transparent and honest about data

关键词： Database systems

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