Management Module Research Articles

College Management System using Python & Django

The College Management System (CMS) is an advanced web-based application designed to streamline administrative and academic processes within educational institutions. Developed using the Django framework for backend functionalities and HTML, CSS, and JavaScript for frontend presentation, the CMS offers a comprehensive solution for managing various tasks efficiently. Leveraging SQLite as the databadminisratiase management system ensures robust data management capabilities, scalability, and ease of maintenance. The CMS provides a wide array of features to automate routine tasks and enhance collaboration among students, faculty, and administrators. Student admission and enrollment management, course scheduling, curriculum planning, and faculty assignment are seamlessly handled by the system, reducing manual workload and minimizing errors. Integrated messaging systems and announcement boards facilitate communication, fostering a collaborative learning environment. The examination management module automates the entire examination process, including exam scheduling, creation of question papers, venue allocation, and result processing. Online exam registration and automated grading streamline the process, ensuring accuracy and transparency while reducing administrative burden. Attendance tracking is simplified with the CMS, allowing faculty to record and monitor student attendance easily. Integration with biometric systems or RFID technology enhances accuracy and eliminates manual attendance taking. Comprehensive attendance reports provide insights into student progress and compliance with attendance policies. Resource management is optimized through the CMS, which enables efficient allocation and utilization of classrooms, laboratories, library resources, and equipment. Administrators can manage inventory, track asset availability, and schedule resource bookings to prevent conflicts and ensure optimal utilization. Reporting and analytics features empower administrators with real-time insights into various aspects of college operations. Customizable dashboards provide information on enrollment statistics, academic performance, financial data, and more, enabling informed decision-making and continuous improvement. In conclusion, the College Management System developed with Django, HTML/CSS/JS, and SQLite revolutionizes educational institution management. By combining advanced technology with intuitive design, the CMS enhances efficiency, transparency, and collaboration, ultimately contributing to the success and growth of the institution.

Construction of Information Service Platform Based on Blockchain Technology

In order to improve the efficiency of archives management in modern archives information management, blockchain technology can be used to carry out the architecture of archives information service platform, and according to the work requirements of archives information management, relevant operation functions are designed, such as management module design, blockchain data protection module design, file security monitoring module design, etc. This paper analyzes and discusses the realistic path of the construction of information service platform based on blockchain technology.

Ectonucleotidase inhibitors: targeting signaling pathways for therapeutic advancement-an in-depth review.

Ectonucleotidase inhibitors are a family of pharmacological drugs that, by selectively targeting ectonucleotidases, are essential in altering purinergic signaling pathways. The hydrolysis of extracellular nucleotides and nucleosides is carried out by these enzymes, which include ectonucleoside triphosphate diphosphohydrolases (NTPDases) and ecto-5'-nucleotidase (CD73). Ectonucleotidase inhibitors can prevent the conversion of ATP and ADP into adenosine by blocking these enzymes and reduce extracellular adenosine. These molecules are essential for purinergic signaling, which is associated with a variability of physiological and pathological processes. By modifying extracellular nucleotide metabolism and improving purinergic signaling regulation, ectonucleotide pyrophosphatase/phosphodiesterase (ENPP) inhibitors have the potential to improve cancer treatment, inflammatory management, and immune response modulation. Purinergic signaling is affected by CD73 inhibitors because they prevent AMP from being converted to adenosine. These inhibitors are useful in cancer therapy and immunotherapy because they may improve chemotherapy effectiveness and alter immune responses. Purinergic signaling is controlled by NTPDase inhibitors, which specifically target enzymes involved in extracellular nucleotide breakdown. These inhibitors show promise in reducing immunological responses, thrombosis, and inflammation, perhaps assisting in the treatment of cardiovascular and autoimmune illnesses. Alkaline phosphatase (ALP) inhibitors alter the function of enzymes involved in dephosphorylation reactions, which has an impact on a variety of biological processes. By altering the body's phosphate levels, these inhibitors may be used to treat diseases including hyperphosphatemia and certain bone problems. This article provides a guide for researchers and clinicians looking to leverage the remedial capability of ectonucleotidase inhibitors in a variety of illness scenarios by illuminating their processes, advantages, and difficulties.

Mechanical vibration's effect on thermal management module of Li-ion battery module based on phase change material (PCM) in a high-temperature environment

PCM-based systems play a crucial role in managing the thermal conditions of electric vehicle (EV) battery modules, a critical aspect in ensuring their optimal performance. However, an often overlooked facet in current research is the impact of mechanical vibration on EV battery modules during real-world driving scenarios. Addressing this gap, the current article takes a pioneering approach, drawing inspiration from the groundbreaking study by Du and Chen in 2023. This study delves into the effects of mechanical vibration on a PCM-based Battery Thermal Management System (BTMS) specifically adapted for battery modules operating in high-temperature environments. The results, shedding light on a previously underestimated factor, unveil the remarkable ability of mechanical vibration to ameliorate the surge in temperature within the battery module, particularly under high discharge rates. An unprecedented revelation surfaces as mechanical vibration emerges as a factor influencing the thickness of the encapsulated PCM, offering a unique avenue for augmenting the energy density of the powertrain. In this challenging thermal environment, mechanical vibration fosters temperature uniformity among batteries and curtails heat accumulation within the battery module. Remarkably, when the vibration amplitude surpasses a critical threshold, the impact of amplitude variations becomes negligible. Moreover, the intricate relationship between vibration frequency and temperature change complicates the scenario, with medium to high frequencies demonstrating a propensity to enhance the management system's overall thermal performance. These groundbreaking findings transcend the theoretical realm, offering tangible insights with immense implications for practical design and application. By recognizing and harnessing the potential benefits of mechanical vibration, engineers and designers can optimize BTMS, paving the way for more efficient and resilient EV battery modules.

Evaluation of a flipped classroom model base on students’ perceptions: An undergraduate engineering module case study

Flipped classroom approach has become popular due to the potential for creating deep learning experiences using active learning and the use of technology that facilitates the implementation of the approach (Abeysekera and Dawson, 2014). The aim of this research is to assess whether the Flipped Classroom model designed and implemented by the authors is perceived as effective by engineering students on the mandatory second year management module. The supplemental blended learning model (Twigg, 2003) was used to create a delivery model consisting of lectures, out-of-class activities and ending with flipped classroom seminars. The fortnightly lectures and online learning material underpinned the in-class activity-led seminars which in turn aligned to the assessment. Given the requirements for students to manage their engagement with learning outside of the classroom, self-regulated learning has been considered within the study. The authors collected the data using two online pre-validated questionnaires (Shih, Liang and Tsai, 2019) via Qualtrics and applied descriptive statistical analysis tools and the Pearson correlation analysis, using SPSS software. Results indicated that students perceived the activity led learning part of the flipped classroom (seminars) as a positive experience and are satisfied with how the experience enhanced their learning. Survey analysis revealed students reported a lack of critical engagement with the online material, inconsistently allocating time to learning nor systematically preparing for the face-to-face activity led learning seminars. There was general agreement the flipped classroom approach required more self-regulated learning skills.

Dual grid energy management strategy for electric vehicles in hybrid microgrid utilizing matrix pencil method

Abstract This study introduces a cutting-edge Matrix Pencil-based Dual Grid Energy Management System (MP-DEMS) aimed at seamlessly integrating electric vehicles (EVs) into power grids while enhancing power quality (PQ) and reliability (PR). Operating within an AC-DC hybrid microgrid (HMG) framework, the MP-DEMS reduces the necessity for additional conversion devices, simplifying the integration of EVs and batteries. The core of the proposed DEMS comprises three key modules: the Wind Energy Management Module (WEMS), Smart Storage and EV Power Coordination (SS-EVPC), and Coordinated Power Conversion Control (CPCC). These modules work together to optimize energy usage, leverage renewable sources effectively, and manage EV charging/discharging schedules to minimize grid impact. An innovative aspect of the MP-DEMS is its use of Matrix Pencil-based techniques, offering several advantages over traditional Discrete Fourier Transform (DFT) methods. These advantages include swift dynamic response, resilience to voltage variations, and precise voltage phase estimation. Software simulations and Hardware-in-the-Loop (HIL-402) testing validate the efficacy of the MP-DEMS approach, showcasing enhanced power transfer capabilities, improved harmonic performance, and superior voltage/frequency regulation within EV-HMS applications. Overall, the MP-DEMS presents a promising solution for advancing the integration of EVs into microgrid systems, contributing to a more sustainable and reliable energy future.

Management information platform based on Internet of Things

In order to study the financial management mode and innovation of electric power enterprises under the current situation, a research method of electric power financial management innovation in the era of Internet of Things is proposed. According to the network topology of the system and the analysis of the Android system, the client of the financial management system, the main functional modules of the system and the data warehouse are designed. The client of the financial management system will divide the client into an information interaction unit and a data calculation unit according to the actual needs of the client; the main functional modules of the system are divided into account management unit, salary management unit, project management unit, system management unit, and fixed asset management unit. Unit, revenue and expenditure management unit and report management unit, the sub-units of each unit are divided into brief analysis, and the outpatient registration fee management module and inpatient fee management module of the revenue and expenditure management unit are introduced in detail; in the hospital financial data warehouse, in the application layer An interactive platform is built between it and the data warehouse, and the module is integrated into the existing data warehouse to realize the processing, storage and operation of massive data. The proposed system has a large operating safety factor, high user satisfaction, and an average system flexibility factor of 0.94. The power financial management information platform based on the Internet of Things has a very good performance in the application. Therefore, the method in this paper can enhance the work efficiency of electric power enterprises and enhance the core competitiveness of electric power enterprises.

Exam Form Management System

Exams are a scary topic for students and teachers to discuss. The successful operation of the exam depends on administrators establishing the system and establishing a good working relationship with the exam center administrator. Communicate with staff and students simultaneously to ensure everyone is working towards the same goal. Automated systems will reduce all the challenges associated with test management. Academia ERP is a comprehensive system that provides an exam model that includes all activities related to exam management, from direct receipt of registration forms and exam documents to completion of results and hard copy proofing and data analysis. The exam module contains all the necessary information students need to register for the exam. The module is linked to the student database; Therefore ID/name/registration etc. Just fill in the fields. It helps in keeping all the necessary information about the student. Exam Module for Academia provides the following for easy and effective exam management in education - Study or Exam Module ERP followed by Systematization Exam Management Module in Academia is the best automation system that automates and facilitates the quality of planned and executed tests; Make the testing process efficient and paperless. Academia's Exam Management Portal helps you complete the entire exam process, from pre-planning (like creating exam papers, exam schedules, and scoring rubrics), to managing materials and dispatching proctors. Automated systems are designed to manage the access rights of different users to prevent unauthorized users from abusing and controlling legal and legal information as well as many other information, including reviews that are not only for informational purposes. The project aims to create an effective platform for process management. As we mentioned above, it has different modules. Student and test data are stored in the database

Influence of Integrated Nematode Management Modules against Meloidogyne incognita Infecting Cucumber in Poly-house

Nematodes management in poly-house through a single practice is a very typical task in present agricultural scenario so, an integrated nematode management trial was conducted for the management of Meloidogyne incognita on cucumber in poly-house. In the investigation different combinations of physical, cultural and chemical treatments were applied for effective management of hidden enemy of cucumber, M. incognita. The combinations of hot water at 1 litre per poly bag, organic amendment (tea waste, tobacco churi, poultry manure, water hyacinth powder and lantana leaf powder at 20 g/plant) and carbofuran (0.25 g a.i./plant and 0.50 g a.i./plant) were applied. Standard (Hot water at 1 litre + Neem cake 50 g/plant + phorate at 0.5 g a.i./plant) and untreated checks were also maintained to compare experimental findings. The results of investigation shows that all the applied treatments significantly reduced nematode infection and increase plant growth over untreated check. Among all treatment combinations, Highest yield of cucumber (4.171 kg/plant) was obtained with integration of Hot water at 1 litre + Neem cake 50 g/plant + phorate at 0.5 g a.i./plant followed by Hot water + Tobacco churi + carbofuran at 0.5 g a.i./plant (3.924 kg/plant) and Hot water + Tea waste + carbofuran at 0.5 g a.i./plant (3.781 kg/plant) as compared to untreated check (1.092 kg/plant).

Bookhive: Virtual Society for Readers

In an era marked by technological advancements, the research endeavors to revolutionize the traditional paradigm of library management by introducing a comprehensive virtual society for readers enriched with digital features and user-centric functionalities. This system comprises multiple interconnected modules designed to enhance the overall library experience for both administrators and patrons. The core Library Management Module streamlines book cataloging, user management, and inventory tracking, optimizing the operational efficiency of libraries. Concurrently, the Mobile App Module extends the library’s reach beyond physical boundaries, offering a user-friendly platform for on-the-go access to resources, virtual book clubs, and personalized recommendations. The Community Engagement Module fosters a vibrant literary community by facilitating discussions, author-reader interactions, and collaborative book recommendations. The Delivery and Rare Books Module ensures accessibility by enabling users to request book deliveries and notifying them of rare book availability. Furthermore, the User Profile and Customization Module empowers patrons to personalize their library experience, from user registration to preference settings. This research is not merely a technological overhaul but a gateway to a more dynamic and inclusive library ecosystem, embracing the digital age while preserving the essence of community, engagement, and the joy of reading. With data-driven insights, personalized features, and an emphasis on community building, our Library Management System represents a forward-looking approach to redefining the role of libraries in the modern world, ensuring they remain vibrant hubs of knowledge, connection, and literary exploration.

An Advance Learning Platform for Slow Learners

LearnIt is an innovative educational system crafted to identify and support slow learners through advanced technological solutions. It employs the MERN stack (MongoDB, Express.js, React.js, Node.js) to offer a personalized learning environment tailored to meet individual student needs. This system not only enhances the educational experience for students but also provides tools to facilitate effective communication between teachers and parents, ensuring a cohesive support network for the learner. Additionally, LearnIt empowers educators with data-driven insights, allowing for informed decision-making and targeted interventions. The traditional educational model often overlooks the unique needs of slow learners, resulting in disengagement and poor academic performance. LearnIt addresses this challenge by integrating comprehensive assessment tools and personalized learning strategies within its platform. By identifying slow learners early, the system provides timely interventions that can significantly improve their learning trajectory. The use of the MERN stack ensures that LearnIt is both scalable and responsive. The assessment and monitoring module is at the core of LearnIt’s functionality. The development of LearnIt involved a detailed analysis of the educational needs of slow learners, incorporating feedback from educators, parents, and the students themselves. This user-centered approach ensured that the system's design and functionality were closely aligned with real-world requirements. Key modules of LearnIt include user management, assessment and monitoring, and communication tool. The user management module handles registration, authentication, and role-based access control, ensuring secure and personalized experiences for all users. The assessment and monitoring module is at the core of LearnIt’s functionality. It includes tools for creating and administering assessments, tracking student performance, and generating detailed reports. This module helps in identifying slow learners by analyzing their performance data and providing actionable insights to educators. With these insights, teachers can develop customized learning plans that address the specific needs of each student, fostering an inclusive and effective educational environment. Communication is another critical component of LearnIt. The platform includes features that facilitate seamless communication between teachers, parents, and students. This ensures that parents are kept informed about their child's progress and can collaborate with teachers to provide consistent support. Effective communication helps in building a supportive learning ecosystem, which is essential for the success of slow learners. The implementation of LearnIt has shown promising results. Preliminary studies indicate that the system significantly improves the identification and support of slow learners. LearnIt represents a significant advancement in the field of educational technology. By focusing on the needs of slow learners and leveraging the capabilities of the MERN stack, it offers a comprehensive solution that enhances learning outcomes. The system's personalized approach, combined with robust data analytics and effective communication tools, ensures that every student receives the support they need to thrive. As we continue to refine and expand LearnIt, its impact on educational equity and student success will undoubtedly grow, offering new opportunities for learners who have been historically underserved by traditional educational models. Keywords: Slow learners, education, literacy, mental development, intelligence.

Computer network big data detection based on internet of things technology

In order to solve the problems of traditional network security intrusion detection system in detection accuracy and missed detection rate, this paper proposes a computer network data detection based on Internet of things technology. This paper designs an intrusion detection system based on data clustering analysis algorithm. The hardware part of the intrusion detection system is composed of six parts: detection module, adaptive module, control management module, risk early warning module, control access module and data acquisition module. Each module is closely connected and updated with the rule base and database in real time; In the software flow design of the system, based on the data clustering analysis algorithm, the collected original data are classified and processed, and the Mings distance is determined, revealing the difference between normal data and abnormal data, and finally realizing the accurate detection of cloud computing network intrusion behavior. The experimental results show that the proposed intrusion detection system has a higher detection accuracy for malicious data, and the average missed detection rate can be controlled below 0.3 %. Conclusionthe detection system designed in this paper has more advantages in stability performance.

Droplet-based mechanical transducers modulated by the symmetry of wettability patterns

Asymmetric mechanical transducers have important applications in energy harvesting, signal transmission, and micro-mechanics. To achieve asymmetric transformation of mechanical motion or energy, active robotic metamaterials, as well as materials with asymmetric microstructures or internal orientation, are usually employed. However, these strategies usually require continuous energy supplement and laborious fabrication, and limited transformation modes are achieved. Herein, utilizing wettability patterned surfaces for precise control of the droplet contact line and inner flow, we demonstrate a droplet-based mechanical transducer system, and achieve multimodal responses to specific vibrations. By virtue of the synergistic effect of surface tension and solid-liquid adhesion on the liquid dynamics, the droplet on the patterned substrate can exhibit symmetric/asymmetric vibration transformation when the substrate vibrates horizontally. Based on this, we construct arrayed patterns with distinct arrangements on the substrate, and employ the swarm effect of the arrayed droplets to achieve three-dimensional and multimodal actuation of the target plate under a fixed input vibration. Further, we demonstrate the utilization of the mechanical transducers for vibration management, object transport, and laser modulation. These findings provide a simple yet efficient strategy to realize a multimodal mechanical transducer, which shows significant potential for aseismic design, optical molding, as well as micro-electromechanical systems (MEMS).

Software Project Management Teaching Case System Development

With the rapid development of Internet technology, online learning platform has gradually become an important part of education. The teaching case management system aims to provide a platform for communication and sharing of teaching resources, solve the problem of scattered and fragmented teaching resources, improve resource accessibility and utilization efficiency, and support centralized management of teaching resources and interaction and cooperation among users. This paper develops a fully functional teaching case management system based on the needs of modern Internet technology and education informatization. The system integrates the web page development technology of the Internet, through the standardized and procedural design concept, and based on in-depth analysis of educational practice needs. The system mainly includes user management module, teaching case management module, and teaching case forum module, providing a convenient, efficient, interactive, and quality oriented platform for teachers and students to share and access teaching case resources. The final output of the project can support the centralized management of teaching resources and the cooperation between users, and can help teachers and students choose teaching resources more pertinently, at the same time, optimize the management, sharing and utilization of teaching cases, and promote the sharing and interaction of resources. This project not only implements a fully functional teaching case management system, but also explores the development practice of modern web applications, which has important theoretical and practical significance for promoting educational informatization and improving teaching interactivity.

OATracker: Object-aware anti-occlusion 3D multiobject tracking for autonomous driving

Efficient and accurate 3D multiobject tracking (MOT) is essential for autonomous driving. However, existing methods still struggle with multiobject occlusion, in which interruptions or even loss of crucial tracked objects is likely. Therefore, a more intelligent object-aware anti-occlusion 3D MOT for autonomous driving, named OATracker, is developed in this paper. First, an updated 3D cascaded detection (3DCD) is adopted as the detection backbone, with incorporation of an updatable component based on the OpenPCDet framework to increase the longevity. Second, a reliable object state-constrained affinity (OSA) metric is designed that adaptively combines 3D geometric and motion metrics to dynamically measure objects’ size and distance in both spatial and temporal dimensions. Third, an object-aware trajectory management (OTM) module is developed for trajectory management and status updating. Specifically, the object identity-aware adaptive tracking life manager (ATLM) allows the tracker to adaptively manage the trajectories of captured objects through a confidence metric for each objects, and the ghost-aware trajectory postoptimizer (GTP) associates the historical and detected motion states, further overcoming id-switch and fragmentation problems. Finally, experiments on the KITTI-Car tracking benchmark and practical autonomous driving car application platform show that the OATracker can achieve competitive and robust tracking performance even in occlusion conditions.

Design and Development Research: Kounin Refugee Classroom Management Module for Limbongan Refugee Learning Centre

The purpose of this study is to design and develop a classroom management module based on the six strategies of Kounin Model for Limbongan Refugee Learning Centre (LRLC) Melaka. The study employs three-phased Design and Development Research (DDR), a multi- method design. In the first phase, a review of literature on refugee education and Needs Analysis was conducted at LRLC to explore their lacks, wants and needs through focus group discussion. The data was collected and analysed utilizing deductive Thematic Analysis manually. Thus, the finding was that the novice teachers do require material and training in to effectively manage refugee classrooms since they lack the necessary abilities. This therefore led to the second phase of DDR, in which a module was created namely, Kounin Refugee Classroom Management Module (KRCMM) by incorporating the six strategies of the Kounin Classroom Management Model (KCMM). During the designing and development of the Kounin Classroom Management Module (KRCMM), ten experts were engaged to conduct preliminary content validation of the draft. To get to experts’ consensus, KRCMM had to go through three rounds of fuzzy Delphi. According to the findings, every item had an expert agreement percentage of 90% or higher, that item defuzzification values were more than α - cut = 0.8, and that all items had Threshold (d) < 0.2 values. This indicates that every item has been maintained and has garnered expert consensus. While in the third stage, the perceived usefulness and ease of use of KRCMM were examined from the perspectives of six LRLC participants. Thematic Analysis was used to gather and analyze data inductively utilizing QDA Miner, an analytical tool. According to usability test result, KRCMM was deemed useful and easy to use by five out of six participants

Research on Edge Cloud Data Storage Method of Power Operation Site in Internet of Things Environment Based on Paxos Algorithm

Abstract In order to realize the efficient storage of electric power job site data and ensure the utilization effect of the stored data, a method of electric power job site edge cloud data storage based on the Paxos algorithm is proposed. In this method, power field operation data are collected comprehensively through the edge server and edge controller in the edge computing module, the collected data are processed, and the data storage tasks are allocated reasonably. The allocated data are transferred to the data storage module, which identifies the bad data in the data through a gap statistics algorithm and cluster analysis and retains the valid and normal data. After the primary and secondary nodes are determined based on the Paxos algorithm, the data storage model of power operation site is constructed. After the consistency detection of the reserved data, the data storage of power operation site is completed. The platform management module can analyze the stored data and present the analysis results to the application decision-making module for presentation. The test results show that the maximum time delay and energy consumption are 2.15 s and 42.6 W, respectively, when the method is used for data transmission, which can accurately identify the bad data in the field data of electric power operation, and the reliability index results of data consistency detection are all above 0.95, which ensures the good consistency of the stored power operation site data and effectively completes the power operation site data storage.

Design of the background of an e-commerce mall

Java technology is a platform independent programming language that has the characteristics of being written once and running anywhere, making it very suitable for distributed network programming. The backend management website of the online shopping system mainly implements the functions of the online shopping system through the application of Hibernate, Struts, Tomcat, Jsp, and MySQL databases. The backend of the entire online shopping system mainly consists of three modules, namely the product order management module, the website user management module, and the product classification management module. The product order management module includes four parts: adding new products, viewing and modifying products, managing product orders, and confirming orders; The main function of the management website user module is to provide an operation interface for user backend maintenance and management. Management personnel can perform user queries, deletions, and other operations; The main function of the product classification management module is to complete the processing operation of product categories.

Comparing various bio-intensive pest management modules in rice

Rice is the key cereal crop in the tropics, supporting diverse pests and natural enemy populations. Recurrent pest outbreaks and yield losses led farmers to rely on extensive insecticide application, disturbing the stability of rice ecosystems and increasing residues in the harvestable products. A study has been conducted to assess the impact of various modules of Bio-Intensive Pest Management (BIPM) on its conservational potential and sustainability in comparison with Farmers’ Practices (FP) in Nalgonda district of Telangana state during kharif-2020. The BIPM practices included application of farm yard manure; rice husk ash; clipping of seedlings; alleyways and weekly release of Trichogramma japonicum in the main field; wet seed treatment and foliar application with Pseudomonas fluorescens (BIPM 1), Trichoderma asperellum strain TAIK1 (BIPM 2) and Bacillus cabrialesii strain BIK3 (BIPM 3). Whereas, FP 1 with need-based insecticide spraying and FP 2 with schedule-based insecticide spraying and Untreated control with (UC) with no intervention. The observations were taken by visual counts at 15-day intervals. The incidence of Cnaphalocrocis medinalis was highest in UC (9.50), followed by BIPM 1 (7.25) and least in FP 2 (2.50) whereas the highest mean population of Apanteles sp. was found in the untreated control (13.75), followed by BIPM 3 (9.50) and least in FP 2 (4.25). The Benefit Cost Ratios (BCR) of BIPM 3 (1.68) were highest followed by BIPM 1 (1.64) and least in FP 2 (1.40) elucidating that BIPM practices can be more economically feasible. The Shannon-Wiener Index for species diversity and species evenness was higher in BIPM treatments as compared to farmers’ practices indicating the potential of these BIPM treatments in natural pest control and maintaining crop ecosystem stability.

D2D Self Organization in IOT via Triple Modular Redundancy Based MDS Code

Device-to-Device (D2D) communication is a key enabling technology to replace base station-to-device(B2D) communication. D2D with IoT realization has spectral and energy-efficient features for on-time quality data transfer. However, the rapid growth of such networks and the dynamic quality of service demands of user equipment require robust and efficient service quality in disasters, outages, and adversarial conditions. To address this challenge, this paper proposes a triple modular redundancy based on the maximum distance separable (TMR-MDS) technique has been proposed, which modifies the repair bandwidth by utilizing more storage occupation and improving the D2D link availability in the system. The proposed TMR-MDS technique will be used, which is composed of two phases: trust management modules and triple modular redundancy storage modules. As part of the initial stage of trust management, a fuzzy logic model is employed to determine the user’s trust value after the user’s behaviour is examined. Second, using the majority voting scheme to improve triple modular redundancy storage. Furthermore, if any problem occurs in the node, then it will self-organize. MATLAB is used to evaluate the performance of the proposed system. The overall system performance is evaluated in terms of the network’s trust level, and the communication cost of the proposed strategy. As per the experimental results, the proposed TMR-MDS method has a better performance of 12.67%, 23.68%, and 25.87% than hierarchical bi-partite, double replication MDS, and unequal repairing locality code.