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Heterojunction p-n type α-Fe₂O₃/CeO₂ composite for photocatalytic dye degradation

Journal of the Indian Chemical Society 2025年第7期102卷

作者： Shinde, Trupti B. Mharsale, Nilesh N. Raut, Pradnya S. Patil, Ganesh E. Kapadnis, Kailas H. Department of Chemistry MGVs Loknete Vyankatrao Hiray Arts Science and Commerce College Panchavati Nashik 422003 India Department of Chemistry K. K. Wagh Arts Commerce Science and Computer Science College Nashik 422 003 India Department of Physics MVPs Arts Commerce and Science College Tryambakeshwar 422212 India Department of Engineering Sciences METS Institute of Engineering Bhujbal Knowledge City Adgaon Nashik 422003 India Department of Physics SNJBs KKHA Arts SMGL Commerce and SPHJ Science College Chandwad 423101 India

Composite p-n type heterojunction photocatalysis offers an environmentally friendly and energy-efficient solution for wastewater treatment, leveraging visible light to degrade pollutants effectively. Herein, firstly CeO₂ and Fe₂O₃ were synthesized using chemical reaction methods, followed by the preparation of a p-n type α-Fe₂O₃/CeO₂ composite catalyst via ball milling and calcination at 500 °C. The synthesized composite was characterized using XRD, FTIR, SEM, Raman spectroscopy, PL and UV–visible spectroscopy to investigate their structural and optical properties. The successful integration of CeO₂ and Fe₂O₃ into the composite was confirmed by the combined features in XRD and Raman analyses, as well as characteristic FTIR peaks at 1143 cm⁻¹ and 1084 cm⁻¹, corresponding to Ce–O–Ce and Fe–O–Fe bridging vibrations. SEM analysis revealed roughly spherical nanoparticles with an average size of 357 nm. UV–visible spectroscopy measurements indicated a reduced band gap of 1.15 eV for the composite, enhancing its visible light absorption. The formation of a stable p-n heterojunction between CeO₂ and Fe₂O₃ improved charge separation and photocatalytic efficiency. The photocatalytic activity of the α-Fe₂O₃/CeO₂ composite was evaluated for the degradation of methylene green dye under visible light irradiation, achieving a maximum degradation efficiency of 95.45 % at an optimal pH of 6 and a catalyst mass of 0.15 g. The relatively low PL intensity observed at 636 nm in the α-Fe₂O₃/CeO₂ nanocomposite suggests that the formation of the heterojunction between α-Fe₂O₃ and CeO₂ facilitates efficient charge carrier separation. This study demonstrates that the α-Fe₂O₃/CeO₂ composite is an effective and s

关键词： Methylene green dye p-n type composite Photocatalyst α-Fe2O3/CeO2

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A Survey on Network Packet Inspection and ARP Poisoning Using Wireshark and Ettercap

A Survey on Network Packet Inspection and ARP Poisoning Usin...

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2021 International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021

作者： Majidha Fathima, K.M. Santhiyakumari, N. Sri Krishna College of Engineering and Technology Coimbatore Department of Computer Science and Engineering India Knowledge Institute of Technology Department of Electronics and Communication Engineering Salem India

ISBN: (纸本)9781728195377

A network consists of a collection of nodes such as hubs, bridges, switches, routers, firewalls, brouters, packet shapers. The hubs help in connecting two devices. The bridges and switches function in layer 2 of ISO-OSI (Open Systems Interconnection). Routers perform the role of delivering packets from source to destination. Firewalls protect the networks by filtering the traffic between sender and receiver. The packet shapers help in regulating the traffic by cutting out spikes in a connectivity. The network is being utilized as 24∗7 days support. The network is being exposed to various kinds of attacks such as ARP (Address Resolution Protocol), DDOS (Distributed Denial of Service). Hence the performance monitoring plays a vital role in preserving a network. The tools such as wireshark and ettercap are being analyzed in this paper. The network traffic is being interpreted by wireshark. Ettercap analyzes ARP poisoning attack. The preventive actions are taken based on the output of the monitoring tools. © 2021 IEEE.

关键词： Denial-of-service attack

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Intersection of software methodologies and itil V3

Intersection of software methodologies and itil V3

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IASTED International Conference on Software engineering, SE 2008

作者： Hacker, Wolfgang University of Vienna Department of Computer Science Department of Knowledge and Business Engineering 1210 Vienna Bruenner Straße 72 Austria

ISBN: (纸本)9780889867154

The Information Technology Infrastructure Library V3 (ITIL V3) was published in June 2007. ITIL V3 is a lifecycle model about integrated IT-Service-Management (ITSM) processes, which documents best practice of IT services. It covers the process areas Service Strategy, Service Design, Service Transition, Service Operation and Continual Service Improvement. The extensive process descriptions within the lifecycle model intersect with process descriptions of the software development processes. IT organisations with software development units, as well as data processing centres, face the problem of adopting at least two different process models. This paper demonstrates the overlapping of software methodologies and ITIL V3 processes and makes a recommendation for the coexistence of both philosophies.

关键词： Data handling

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A survey on evolution of cloud technology and virtualization 3

A survey on evolution of cloud technology and virtualization

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3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Majidha Fathima, K.M. Santhiyakumari, N. Sri Krishna College of Engineering and Technology Department of Computer Science and Engineering Coimbatore India Knowledge Institute of Technology Department of Electronics and Communication Engineering Salem India

ISBN: (纸本)9780738111834

The term cloud is termed as a collection of resources both physical and virtual. The customers across the globe are accessing the services of the cloud. The key elements of the data center formed by the cloud are compute, network, storage, application and DBMS (Database Management System). The services provided by a real machine are imitated by the virtual machines. The services offered are for resources like CPU (Central Processing Unit), NIC (Network Interface Card), memory and hard disk. NIC is used to connect the system to the network. The virtual machines are created by software's like hypervisor. The hypervisor serves as the Virtual Machine Monitor (VMM). It forms as an intermediate between the physical machine and virtual machine. VMware Workstation Pro, Oracle Virtual Box are the examples of hypervisor. The operating system (OS) of the real machine is called as 'host OS'. 'Guest OS' is the operating system of the virtual machine formed. The number of virtual machines created depends on the underlying hardware of the physical machine with sophisticated hard disks like SSD (Solid State Drive). A virtualized data center with resources is simulated using CloudSim and the results are interpreted. © 2021 IEEE.

关键词： Program processors

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QStruc. An approach for qualitative structural analysis

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Computing Systems in engineering: An International Journal 1993年第2-3期4卷 147-147页

作者： Fruchter, R. Law, K.H. Iwasaki, Y. Center for Integrated Facility Engineering Department of Civil Engineering Stanford University Stanford U.S.A. Department of Civil Engineering Stanford University Stanford U.S.A. Knowledge System Laboratory Department of Computer Science Stanford University Stanford U.S.A.

Understanding the behavior of a structure and its components in the preliminary design phase is important since decisions made at this time can have a significant influence on the quality of the final design. It can also potentially reduce the number of alternative solutions and avoid costly design revisions. However, there are few tools available for modeling of a structure and performing qualitative analysis and interpretation of a conceptual design. We describe a framework QStruc for qualitative structural analysis which combines first principles in structural engineering and experimental knowledge of structural behavior. The purpose of QStruc is to generate refined qualitative models and to infer the qualitative response of a given preliminary structure. The results are expressed by qualitative deflected shape, moments and reactions. The proposed qualitative analysis strategy is a “greedy” depth-first algorithm that tries to expand the response of behavior as much as possible from known parameter values. This strategy makes use of a causal ordering mechanism, qualitative calculus and Quantity Lattice (R. Simmons, “Commonsense arithmetic reasoning” in Proceedings of the AAAI86 , pp. 118–124, Morgan Kaufmann, San Mateo, California, 1986) to reason about partial ordering among physical parameters.

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Improving EHR and patient empowerment based on dynamic knowledge assets 43

Improving EHR and patient empowerment based on dynamic knowl...

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43. Jahrestagung der Gesellschaft fur Informatik e.V. ,GI, Informatik Angepasst an Mensch, Organisation und Umwelt, Informatik 2013 - 43rd Annual Meeting of the German Informatics Society (GI), computer science Adapting to Individuals, Organizations and Environment, Informatics 2013

作者： Nasiri, Sara Dornhöfer, Mareike Fathi, Madjid Institute of Knowledge Based Systems & Knowledge Management Department of Electrical Engineering & Computer Science University of Siegen Hölderlinstr. 3 Siegen57076 Germany

ISBN: (纸本)9783885796145

Patients like to keep track of their health related issues and Personal Health Records can be useful for managing their health related information. On the other hand, Electronic Health Records also offer medical professionals an insight into the medical profile of the patient, based on examinations, results or treatments. This work proposes the enrichment of these records with data from Personal Health Records as well as data from a patient care social network. For supporting this conceptual approach and sustaining long-term healthcare, Dynamic knowledge Asset Management is considered. Tracking data and process changes is made possible. © 2013 Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI).

关键词： knowledge management

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VID Join： Mapping Trajectories to Points of Interest to Support Location-Based Services

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Journal of computer science & Technology 2015年第4期30卷 725-744页

作者：商烁谢珂心郑凯刘家俊文继荣 Department of Computer Science China University of Petroleum Beijing 102249 China School of Information Technology and Electrical Engineering The University of Queensland Brisbane QLD 4072 Australia School of Computer Science and Technology Soochow University Suzhou 215006 China Commonwealth Scientific and Industrial Research Organisation Kenmore QLD 4069 Australia Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Beijing 100080 China

Variable influence duration （VID） join is a novel spatio-temporal join operation between a set T of trajectories and a set P of spatial points. Here, trajectories are traveling histories of moving objects （e.g., travelers）, and spatial points are points of interest （POIs, e.g., restaurants）. VID join returns all pairs of （τs, p） if τs is spatially close to p for a long period of time, where τs is a segment of trajectory τ ∈ T and p ∈ P. Each returned （τs, p） implies that the moving object associated with τs stayed at p （e.g., having dinner at a restaurant）. Such information is useful in many aspects, such as targeted advertising, social security, and social activity analysis. The concepts of influence and influence duration are introduced to measure the spatial closeness between τ and p, and the time spanned, respectively. Compared to the conventional spatio-temporal join, the VID join is more challenging since the join condition varies for different POIs, and the additional temporal requirement cannot be indexed effectively. To process the VID join e？ciently, three algorithms are developed and several optimization techniques are applied, including spatial duplication reuse and time duration based pruning. The performance of the developed algorithms is verified by extensive experiments on real spatial data.

关键词： trajectory spatial database spatial join spatio-temporal join

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Case representation and similarity assessment in a recommender system to support dementia caregivers in geriatric and palliative care

Case representation and similarity assessment in a recommend...

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2017 ICCBR Workshops on Computational Analogy and Case-Based Reasoning, CAW 2017, Case-Based Reasoning and Deep Learning, CBRDL 2017 and Process-Oriented Case-Based Reasoning, POCBR 2017, Doctoral Consortium, and Competitions, ICCBR-WS 2017

作者： Nasiri, Sara Fathi, Madjid Department of Electrical Engineering and Computer Science University of Siegen Institute of Knowledge Based Systems and Knowledge Management Hölderlinstr. 3 Siegen57076 Germany

In this paper, a case-based reasoner uses International Classification of Functioning, Disability, and Health framework of WHO (ICF codes) and medical expressions to create keyword association profiles. Dementia Case-based Learning Assistant System (DePicT Dementia CLASS) finds significant references and learning materials by utilizing the profile of word association strengths according to the problem description. The purpose of this research is to develop a CBR system for recommending the related references by using the information retrieved from dementia books based on the ICF framework of WHO. Case-based learning assistant system helps users to find their answers in dealing with their problems. It also used their feedback to update cases and for improvement of references. This research proposes a combination of references with the highest value keyword association strengths and collaborative recommendation based on the ranked references by the user's feedback. Copyright © 2017 for this paper by its authors.

关键词： Case based reasoning

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A novel cascade heat integration configuration for electricity/freshwater/hydrogen outputs using SOFC-GT, multi-effect desalination, and PEM electrolysis using machine learning optimization

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Case Studies in Thermal engineering 2025年 72卷

作者： Zhaoyang Zuo Junhua Wang Sarminah Samad Nashwan Adnan Othman Ahmad Almadhor Raymond Ghandour Ibrahim A. Alsayer Dilsora Abduvalieva Salem Alkhalaf Samah G. Babiker School of mechanical engineering Xijing University Xi’an Shaanxi 710123 China School of Computer Science South China Business College Guangdong University of Foreign Studies Gangzhou 510545 Guangdong China Department of Management College of Business Administration Princess Nourah bint Abdulrahman University Riyadh 11671 Saudi Arabia Department of Computer Engineering College of Engineering Knowledge University Erbil 44001 Iraq Department of Computer Engineering Al-Kitab University Altun Kupri Iraq Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Saudi Arabia College of Engineering and Technology American University of the Middle East Egaila 54200 Kuwait Department of Chemical and Materials Engineering Engineering College Northern Border University Arar 91431 Saudi Arabia Department of Mathematics and Information Technologies Tashkent State Pedagogical University Bunyodkor avenue 27 Tashkent 100070 Uzbekistan Department of Computer Engineering College of Computer Qassim University Buraydah Saudi Arabia Department of Electronic Physics Faculty of Applied Science Red Sea University Port Sudan Sudan

The current study presents an innovative integrated multi-generation system tailored for residential communities based on a novel cascade heat integration configuration. The proposed system is designed for scalability, making it adaptable for various residential communities, from small housing complexes to larger urban developments. Its modular architecture allows flexible integration with existing infrastructure, enabling widespread deployment in diverse geographic and economic conditions. Utilizing a real-time machine learning framework, the system dynamically optimizes energy distribution and operational efficiency, making it feasible for large-scale implementation while maintaining economic viability and environmental benefits. Hence, a real-time machine learning framework is implemented to optimize key operational parameters dynamically, ensuring efficient fuel utilization, energy distribution, and load balancing across the system. The ML model continuously processes sensor data to adjust SOFC current density, GT pressure ratio, and ORC steam pressure, maximizing exergy efficiency while minimizing operational costs and CO 2 emissions. Additionally, it enhances system reliability through predictive maintenance and demand-based power allocation, enabling a more adaptive and cost-effective multi-generation process. Noteworthy outcomes highlight an exergy efficiency improvement from 48 % to 60 % and a power output increase from 6.1 MW to 11.6 MW. Additionally, the levelized cost of electricity is notably reduced from 8 to 3 cents/kWh. The system also provides extra benefits by generating freshwater and hydrogen, addressing various societal challenges.

关键词： Cascade heat integration Thermal energy system Optimization Hydrogen Freshwater Machine learning

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A collaborative CBR recommender system to support patients, its relatives and caregivers in chronic and palliative care

A collaborative CBR recommender system to support patients, ...

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作者： Nasiri, Sara Department of Electrical Engineering and Computer Science University of Siegen Institute of Knowledge Based Systems and Knowledge Management Hölderlinstr. 3 Siegen57076 Germany

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