• Journal of Korean Society of Transportation
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• v.23 no.3 s.81
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• pp.35-47
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• 2005

This paper is to review a literature concerning Bus Transit Route Network Design(BTRNDP), to describe a future study direction for a systematic application for the BTRNDP. Since a bus transit uses a fixed route, schedule, stop, therefore an approach methodology is different from that of auto network design problem. An approach methodology for BTRNDP is classified by 8 categories: manual & guideline, market analysis, system analytic model. heuristic model. hybrid model. experienced-based model. simulation-based model. mathematical optimization model. In most previous BTRNDP, objective function is to minimize user and operator costs, and constraints on the total operator cost, fleet size and service frequency are common to several previous approach. Transit trip assignment mostly use multi-path trip assignment. Since the search for optimal solution from a large search space of BTRNDP made up by all possible solutions, the mixed combinatorial problem are usually NP-hard. Therefore, previous researches for the BTRNDP use a sequential design process, which is composed of several design steps as follows: the generation of a candidate route set, the route analysis and evaluation process, the selection process of a optimal route set Future study will focus on a development of detailed OD trip table based on bus stop, systematic transit route network evaluation model. updated transit trip assignment technique and advanced solution search algorithm for BTRNDP.

• Journal of Internet Computing and Services
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• v.5 no.2
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• pp.97-105
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• 2004

The reason that an intelligent agent cannot understand the representation of its own perception or activity is caused by the traditional syntactic approach that translates a semantic feature into a simulated string, To implement an autonomously learning intelligent agent, Cohen introduces a experimentally semantic approach that the system learns a contentful representation of physical schema from physically interacting with environment using its own sensors and effectors. We propose that negation is a meta-level schema that enables an agent to recognize its own physical schema, To improve the planner's efficiency, Graphplan introduces the control rule that manipulates the inconsistency between planning operators, but it cannot cognitively understand negation and suffers from redundancy problem. By introducing a negative function not, IPP solves the problem, but its approach is still syntactic and is inefficient in terms of time and space. In this paper, we propose that, to represent a negative fact, a positive atom, which is called opposite concept, is a very efficient technique for implementing an cognitive agent, and demonstrate some empirical results supporting the hypothesis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.2
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• pp.807-825
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• 2020

In recent years, business environments have become more complex; therefore, enterprises must be capable of responding flexibly and agilely. For these purposes, effective enterprise systems service monitoring and early decision making based on the same, emerge as core competency of the enterprise. In addition, enterprise system techniques that filter meaningful data are needed to event processing. However, the existing study related with this is nothing but discovering of service faults by monitoring depending upon API of BPEL engine or middleware, or is nothing but processing of simple events based on low-level events. Accordingly, there would be limitations to provide useful business information. In this study, we present an extended event processing model that enables delivery of more valuable and useful business information through situation detection. Primarily, the event processing architecture in an enterprise system is proposed as a definite approach, and then define an event meta-model suitable for the proposed architecture. Based on the defined model, we propose the syntax and semantics of the elements that make up the event processing language include various and progressive event operators, the rules, complex event pattern, etc. In addition, an event context mechanism is proposed to analyze more delicate events. Finally, the effectiveness and applicability of proposed approach is presented through a case study.

• The Journal of Economics, Marketing and Management
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• v.10 no.4
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• pp.13-24
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• 2022

Purpose: Although numerous research has covered content on trends in the adoption and use of wearable devices, their uses across several sectors such as healthcare, gaming, and fashion, there seems to be a considerable paucity with regard to empirical research focusing on the solutions for factors that undermine the effectiveness of wearable devices in healthcare. The present research aims to highlight what has been covered on wearable devices in healthcare while highlighting the limitations for future research. Research design, data, and methodology -The present authors conducted one of the most famous qualitative literature approach which has been called as PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) statement. The selecting criteria for eligible prior studies was estimated by whether studies are suitable for the current research, identifying they are peer-reviewed and issued by notable publishers between 2017 and 2022. Result - Our results indicated that (1) Increasing the Affordability and User Education on Wearable Devices in Healthcare (2) Tackling the Technological Issues in Wearable Devices to Promote Healthcare Delivery (3) Solving Security and Privacy Issues Associated with Wearable Devices (4) Promoting Standards and Appropriate Regulations for Wearable Devices. Conclusion - To add, resolving the technological issues associated with wearable devices in healthcare will ensure that the new devices in the market will have longer battery life, multiple functions, and enhanced accuracy, thus ensuring that patients receive better care. Necessary interventions are taken on time to avoid any deleterious consequences such as proliferating mortality rates among the different patient groups.

• The Journal of Industrial Distribution & Business
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• v.13 no.8
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• pp.9-18
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• 2022

Purpose: K-beauty products industry trends, estimates and dynamics are examined in this study to discover a potential possibility for growth. There is a thorough examination of the elements that drive and impede the expansion of the K-beauty industry. This study aims to investigate marketing strategy of K beauty product to enhance economic growth in South Korea. Research design, data and methodology: This study used one of the most famous approach for analyzing the current literature which is a PRISMA (Process and Systematic Reviews and Meta-Analyses) method. This method maps out the number of records identified, the included and the excluded ones with the reasons for the exclusion. The technique clearly states the research problem and the appropriate scope. Results: The theoretical findings of prior literature indicates K-beauty companies should retain physical locations despite the trend toward online commerce, in order to guarantee that they meet the demands of different customers and enhance customer experiences to develop trust and loyalty. Conclusions: The findings of this research are of academic importance since they provide light on customer preferences for new K-beauty products. While past research has often ignored certain kinds of influencers, this study emphasized the need of considering influencers and certain product exposure strategies together, which has major academic consequences.

• Journal of Distribution Science
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• v.21 no.10
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• pp.85-95
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• 2023

Purpose: Virtual reality's impact on fashion distribution extends beyond singular transactions, facilitating the emergence of novel collaborations. As investigating the characteristics of fashion distribution channels in virtual reality, this study explores how the fashion industry can utilize virtual reality distribution channels to their maximum capacity while minimizing potential disadvantages. Research design, data, and methodology: The approach used to gather previous studies for this study adheres to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. This method is widely acknowledged and recommended for its systematic and transparent approach to selecting relevant literature. This kind of literature search plays a vital role in a systematic evaluation as it informs the results. Results: The finding indicates consistently a total of eight kinds of characteristics of fashion distribution channels in virtual reality. The result means that the attributes of fashion distribution channels in virtual reality are causing significant changes in the fashion industry, revolutionizing the consumer experience, and redefining the parameters of creativity and collaboration. Conclusions: In sum, the global reach and accessibility of modern technology enhance the capacity of fashion companies to expand their market presence. This facilitates their participation in intercultural interactions and allows them to serve a wide range of customers.

• Journal of Research and Publication Ethics
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• v.3 no.1
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• pp.1-5
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• 2022

Purpose: A conflict of interest is defined broadly as a scenario in which one's responsibilities and self-interest collide in a manner that has a significant probability of corrupting one's discernments, motivations, actions, desires, values, and judgments. This study aims to investigate various cases of conflict of interest. Research design, data and methodology: Our study used the preferred reporting items for systematic reviews and meta-analyses (PRISMA) to identify resources. The eligibility of selected prior studies thoroughly was investigated whether they are suitable for the topic of present study. Finally, we collected total 15 previous studies published between 2000 and 2021. Results: Research findings indicate that there are three main cases that might cause a conflict of interest and mandated research ethics education might provide researchers with the tools to identify and battle the temptations and biases provided by conflicts of interest. Researchers could likely be better prepared for conflicts of interest if they investigated the moral difficulties associated with them in advance. Conclusions: Researchers might evade deliberate or unconscious detriment of duties, and also objectivity loss because of the siren song of self-interest by escaping situations whereby they may be tempted to shirk their responsibilities, not to remark the hassles of unveiling conflicts.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2701-2717
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• 2023

In this paper, a hybrid fuzzy-based method is suggested for determining India's best system for power generation. This suggested approach was created using a fuzzy-based combination of the Giza Pyramids Construction (GPC) and Recalling-Enhanced Recurrent Neural Network (RERNN). GPC is a meta-heuristic algorithm that deals with solutions for many groups of problems, whereas RERNN has selective memory properties. The evaluation of the current load requirements and production profile information system is the main objective of the suggested method. The Central Electricity Authority database, the Indian National Load Dispatch Centre, regional load dispatching centers, and annual reports of India were some of the sources used to compile the data regarding profiles of electricity loads, capacity factors, power plant generation, and transmission limits. The RERNN approach makes advantage of the ability to analyze the ideal power generation from energy data, however the optimization of RERNN factor necessitates the employment of a GPC technique. The proposed method was tested using MATLAB, and the findings indicate that it is effective in terms of accuracy, feasibility, and computing efficiency. The suggested hybrid system outperformed conventional models, achieving the top result of 93% accuracy with a shorter computation time of 6814 seconds.

• The Journal of Industrial Distribution & Business
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• v.15 no.7
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• pp.11-18
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• 2024

Purpose: The current research has investigated the question of how wellness tourism can be optimized to serve the diverse needs of its participants better while ensuring sustainable and inclusive growth. It will help design and implement better health and tourism policies to improve health and tourism policies to improve societies and economies. Research design, data and methodology: This research adopts a systematic literature review approach in collecting and synthesizing previous research works contained in the study to develop the result discussed in the next section. This review adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Results: The findings of this research have indicated total of four brief suggestions to answer the research question, such as (1) Integration of Health and Wellness Programs in Mainstream Tourism, (2) Economic Revitalization of Rural and Underdeveloped Areas, (3) Enhancement of Public Health through Preventive Wellness, (4) Promotion of Sustainable Tourism Practices. Conclusions: Finally, this research concludes that incorporating health and wellness programs into mainstream tourism is a strategic focal area in hospitality practice. By raising the stakes in, for example, physical activities, beauty treatments, healthy meals, and mental health sessions, old-fashioned hotels or resorts can broaden their client base.

• Journal of Electrical Engineering and Technology
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• v.7 no.4
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• pp.493-500
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• 2012

In this paper the performance of meta-heuristics algorithms such as GA (Genetic Algorithm), DE (Differential Evolution), PSO (Particle Swarm Optimization) and SA (Simulated Annealing) for the problem of TTC enhancement using FACTS devices are compared. In addition to that in the assessment procedure of TTC two novel techniques are proposed. First the optimization algorithm which is used for TTC enhancement is simultaneously used for assessment of TTC. Second the power flow is done using Broyden - Shamanski method with Sherman - Morrison formula (BSS). The proposed approach is tested on WSCC 9 bus, IEEE 118 bus test systems and the results are compared with the conventional Repeated Power Flow (RPF) using Newton Raphson (NR) method which indicates that the proposed method provides better TTC enhancement and computational efficacy than the conventional procedure.