Performance Comparison of EIGRP, OSPF and RIP Routing Protocols using Cisco Packet Tracer and OPNET Simulator

In this paper, the intention has to create a network configuration that is similar for all routing protocols RIP, OSPF, and EIGRP by which we want to analysis the performance of these protocols using Cisco Packet Tracer and OPNET simulator. We use various protocols for forwarding the packets in a network topology. For successful delivery of the packets from the source node to the accurate destination node, the routers maintain a routing table. The amount of network information stored by a router depends on its algorithm. For the performance measure, we will simulate real-time scenarios of the networks using Cisco Packet Tracer and OPNET simulation tools. We will evaluate the performance of EIGRP, OSPF, and RIP based on of network convergence, Ethernet delay, security, and bandwidth requirement, etc. We will observe that the EIGRP routing protocol has the maximum link utilization followed by OSPF, and RIP routing protocols

The Rise of the Social Business in Emerging Economies: A New Paradigm of Development

Social business has emerged as a sustainable and innovative means to solve emerging social problems. Although it is gaining momentum, there is a paucity of studies on the drivers of social business models and its key success factors. Drawing on a systematic literature review and an in-depth analysis of 31 social businesses in Bangladesh, the study presents eight key drivers and four success factors for a sustainable social business model. The findings show eight key drivers for social business models including customer centricity, quality, social needs, latent demands, incidental gains, innovation through partnerships, inspirations from initiatives and collaborative eco-systems. The findings also report four critical success factors including social goals, collaboration, simplicity and start from home. Overall, this study discusses the scope of developing and sustaining social business models for empowerment, quality of life and economic growth in emerging economies

Navigating the platform economy: Crafting a customer analytics capability instrument

The prevalence of the platform economy is rapidly increasing, primarily driven by the incorporation of big data into the digital business environment. Big data contains substantial customer information, necessitating analytics to process such data. Despite the acceleration in customer data, researchers lack knowledge about the tools that constitute Customer Analytics Capability (CAC) within the online retail business context. Through a multi-phase research design, we develop and test an instrument for CAC within the spectrum of the platform economy. We validate a multidimensional and higher-order CAC framework comprising value creation, delivery, and management. We establish the nomological validity by identifying the instrument's significant impact on customer-related performance. This research contributes to a deeper understanding of the role of CAC in shaping customer-centric outcomes within the expanding platform economy

SURVIVAL ASSESSMENT OF PATHOGENIC BACTERIA WITH ANTIBIOTIC RESISTANCE TRAITS FROM FRESH SUMMER ROYAL GRAPE : IN VITRO MICROBIAL CHALLENGE TEST

Table grape act as a popular and mouthwatering fruit supplement over the world. Unhygienic handling of these fruits can possess a diverse threat to public health safety. Moreover, the fruit juice can serve as a nutrient for bacterial growth as well if kept in an unsanitary condition. For this purpose, five imported grape samples (Red Globe, Perlette, Calmeria, Princess and Summer Royal) were tested to assess the presence of pathogenic bacteria and drug-resistant pattern of the isolates. The total bacterial count (TBC) and total fungal count (TFC) showed the presence large amount of bacterial (ranged from 4.4 x 10(4) to 8.1 x 10(7)) and fungal population on the grapes samples, especially on the skin part of the fruits. Several pathogenic isolates, Escherichia coli, Staphylococcus spp., and Pseudomonas spp. were isolated from tested grape samples. However, the presence of Salmonella spp., Shigella spp., Vibrio spp. and Klebsiella spp. were not found from any of the samples. The concerning part of the present study was drug-resistant bacterial strains isolated from supplied Fresh Summer Royal Grape. The most of the isolated bacterial spp. were resistant to all most all of the commonly used antibiotics such as ampicillin (10 mu g), trimethoprim/sulfamethoxazole (25 mu g), tetracycline (30 mu g), ceftriaxone (30 mu g), imipenem (10 mu g), chloramphenicol (30 mu g), azithromycin (15 mu g), novobiocin (30 mu g), vancomycin (30 mu g), penicillin G (10 mu g), ciprofloxacin (5 mu g), neomycin (30 mu g), levofloxacin (5 mu g), kanamycin (30 mu g) and cefiximycin (5 mu g). No grape samples showed any kind of antimicrobial activity against both pathogenic and non-pathogenic bacteria. The survival pattern of inoculated bacterial samples in the grape sample showed a slight decrease in growth in the course of time.Peer reviewe

Big data-driven strategic orientation in international marketing

Purpose: Big data is one of the most demanding topics in contemporary marketing research. Despite its importance, the big data-based strategic orientation in international marketing is yet to be formed conceptually. Thus, the purpose of this study is to systematically review and propose a holistic framework on big data-based strategic orientation for firms in international markets to attain a sustained firm performance. Design/methodology/approach: The study employed a systematic literature review to synthesize research rigorously. Initially, 2,242 articles were identified from the selective databases, and 45 papers were finally reported as most relevant to propose an integrative conceptual framework. Findings: The findings of the systematic literature review revealed data-evolving, and data-driven strategic orientations are essential for performing international marketing activities that contain three primary orientations such as (1) international digital platform orientation, (2) international market orientation and (3) international innovation and entrepreneurial orientation. Eleven distinct sub-dimensions reflect these three primary orientations. These strategic orientations of international firms may lead to advanced analytics orientation to attain sustained firm performance by generating and capturing value from the marketplace. Research limitations/implications: The study minimizes the literature gap by forming knowledge on big data-based strategic orientation and framing a multidimensional framework for guiding managers in the context of strategic orientation for international business and international marketing activities. The current study was conducted by following only a systematic literature review exclusively in firms' overall big data-based strategic orientation concept in international marketing. Future research may extend the domain by introducing firms' category wise systematic literature review. Originality/value: The study has proposed a holistic conceptual framework for big data-driven strategic orientation in international marketing literature through a systematic review for the first time. It has also illuminated a future research agenda that raises questions for the scholars to develop or extend theory in this area or other related disciplines

An integrated protection framework to preserve consumers' rights and responsibilities in Bangladesh

Volume 1, Issue 1, July 200

The Influence of Atopic Dermatitis on Health-Related Quality of Life in Bangladesh

Nagata A, Kazi T, Akter Z, Nody FA, Khan MS, Shahriar ASM, Islam MS, Nakagawa T, Inui S. The Influence of Atopic Dermatitis on Health-Related Quality of Life in Bangladesh. International Journal of Environmental Research and Public Health. 2021, 18(21),11593

Success history moth flow optimization for multi-goal generation dispatching with nonlinear cost functions

Combined Economic Emission Dispatch (CEED) is resolved by combining Success History Moth Flow Optimization (SHMFO) and valve-point loading of thermal generators. This SHMFO the valve-point loading problem is a multi-objective nonlinear optimization problem including generator capacity limits and power balance. The valve-point loading causes oscillations in the input-output characteristics of generating units, hence rendering the CEED problem an imperfect optimization problem. As a benchmark test system for validating the efficacy of SHMFO, IEEE 30-bus systems are studied. Comparing the SHMFO method to other optimization strategies revealed its superiority and proved its capacity to resolve the CEED issue. The OPF is framed as a single or multiobjective problem with restrictions on generator capability, line capacity, bus voltage, and power flow balance to minimize fuel cost, emission, transmission loss, voltage deviation, etc. The numerical findings indicate that the SHMFO algorithm can provide cost-efficiency, diversity, and convergence in a single run. SHMFO performs better than the other algorithms and is an excellent choice for addressing the OPF problem, as shown by the results. On non-dominated solutions, a method adapted from the Technique for Ordering Preferences by Similarity to Ideal Solution (TOPSIS) is used to establish the Best Compromise Solution (BCS)

Emission and valve point loading cost using superiority of feasible solutions-moth flame optimization

The optimal power flow (OPF) the most crucial instrument for power facility design and performance is analysis, load scheduling, and cost-effective dispatch. To determine the evidence of a steady state for a power system network, an optimal power flow analysis is required. This study introduces a novel optimization method called Superiority of Feasible Solutions-Moth Flame Optimization (SH-MFO) to answer the optimal power flow problem. As part of the MATLAB development, SH-MFO is implemented on the IEEE-30 bus standard experiment structure network. When compared to the reliable outcomes produced by other algorithms, the current study employing SH-MFO estimates a Generation and Emission Costs 48.6827 /h for minimizing the different fuels, which ultimately proves to be the best value. Analyze the poorest options suggested by the comparison algorithm, it saves money by 0.9873 % per hour. Based on simulation results, the SH-MFO method provides an improved and effective optimization algorithm for optimal power flow problems