• Journal of Information Technology Services
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• v.21 no.5
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• pp.15-28
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• 2022

Recently, government agencies are actively adopting the platform model as a means of public policy. However, existing studies on the public platform are minimal and have focused on user experiences or the possibility of public usage of the platform model. Now the research concerning building governance structure and utilizing network effects of the platform after adopting the platform model in the public sector is keenly required. This study intended to ignite academic dialogue on the governance of public platforms in the context of digital transformation. This study focused on a case of the 'Special delivery,' a public delivery app established by Gyeonggi-do. In order to analyze the characteristics of the public platform and its governance structure, data were collected from press releases, policy reports, and news articles. Data was analyzed using the frame of Hagui's platform design factors and Ansell & Gash's collaborative governance model. The results of the public platform analyses showed 1) incompleteness in the value trade-off accounting, which was designed for platform business based on general cost-benefit analysis, and 2) a closed governance structure that limits direct participation of diverse user groups(i.e., service provider, customer) in order to enhance providers' utility by preventing customers' excessive online activities. The results of this study provided theoretical and policy implications regarding designing the strategy for accounting for value trade-offs and functioning governance structure for public platforms.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.229-238
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• 2022

Due to digitization, data has become a tsunami in almost every data-driven business sector. The information wave has been greatly boosted by man-to-machine (M2M) digital data management. An explosion in the use of ICT for farm management has pushed technical solutions into rural areas and benefited farmers and customers alike. This study discusses the benefits and possible pitfalls of using information and communication technology (ICT) in conventional farming. Information technology (IT), the Internet of Things (IoT), and robotics are discussed, along with the roles of Machine learning (ML), Artificial intelligence (AI), and sensors in farming. Drones are also being studied for crop surveillance and yield optimization management. Global and state-of-the-art Internet of Things (IoT) agricultural platforms are emphasized when relevant. This article analyse the most current publications pertaining to precision agriculture using ML and AI techniques. This study further details about current and future developments in AI and identify existing and prospective research concerns in AI for agriculture based on this thorough extensive literature evaluation.

• Annual Conference of KIPS
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• 2010.11a
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• pp.1743-1745
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• 2010

클라우드 컴퓨팅 환경을 기반으로 하는 비즈니스 생명주기는 직접적인 어플리케이션이나 서비스의 구현을 포함해서, 기획, H/W나 S/W 프로비저닝, 운용 및 관리, 평가와 같은 과정을 요구한다. 이 모든 과정은 다양한 형태의 비즈니스 자산들을 필요로 하면서, 또 다른 새로운 자산들을 만들어낸다. 반복되는 비즈니스 생명주기에서 생성된 비즈니스 자산의 재사용성을 극대화할 수 있다면, 신속하고 효과적인 클라우드 기반의 비즈니스를 추구할 수 있는데, 이러한 과정의 중심에는 효과적인 레포지토리의 구축이 우선된다. 이에 본 논문은 클라우드기반 비즈니스 시스템의 특징을 살펴보고, 비즈니스 생명주기의 각 단계에서 요구되는 레포지토리의 요구사항을 분석하여 적합한 메타데이터 및 데이터 아키텍처를 설계하고 제안하고자 한다. 또한, 오픈소스 시스템을 통해 제안하는 시스템의 활용가능성을 확인하고자 한다.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.1
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• pp.63-71
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• 2022

To investigate the short-run effects of social capital on migration decisions of individuals in the rural areas of Vietnam, we conducted dataset mining and performed regression model analysis in the form of panel data. As control variables, we employed the variable of social capital, which is measured by an individual's network, as well as demographic characteristics of individuals and households. We discovered that when a household is in financial distress, social networks such as linkages or asking for aid from others often enhance individual capacity. Individuals with a large social network outside of their immediate area are more inclined to relocate to the location where their connectors live. Individual participation and degree of participation in the organizational community, on the other hand, have little bearing on the likelihood of migration. In addition, this research examines theories and empirical research on the relationship between social capital and migration. Based on our research findings, we have recommended some measures to boost the efficiency of social capital and migration in rural areas of Vietnam through local government solutions.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.123-128
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• 2023

The main purpose of the study is to analyze the features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy. The research methodology implies the use of modern methods of analysis. Improving the business processes of an organization is associated with improving activities, the formation of effective management systems and processes, especially the organization's policy in the field of quality, rational use of resources, increasing the responsibility of management, social responsibility of the organization, etc. The modern knowledge economy places high demands on the effectiveness of behavioral models of employees of the organization. The role of the human factor in the production system is becoming more and more obvious. Therefore, it is important to study the competence of the personnel of any socio-economic system. Based on the results of the study, the key features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy were identified.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.161-166
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• 2023

The main purpose of the study is to analyze the features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy. The research methodology implies the use of modern methods of analysis. Improving the business processes of an organization is associated with improving activities, the formation of effective management systems and processes, especially the organization's policy in the field of quality, rational use of resources, increasing the responsibility of management, social responsibility of the organization, etc. The modern knowledge economy places high demands on the effectiveness of behavioral models of employees of the organization. The role of the human factor in the production system is becoming more and more obvious. Therefore, it is important to study the competence of the personnel of any socio-economic system. Based on the results of the study, the key features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy were identified.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.79-86
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• 2024

This research is conducted in order to analyze the student's academic performance at the secondary school level in Sindh province of Pakistan. The study was focused on the students who have passed the Matriculation level recently. The sample of size equal to 1097 secondary level students was randomly selected in a way that from each college roughly up to 150 students took part in the survey. The sample selection was further divided on gender (Male=448, Female=649) and Locale (Urban=456, Rural=641). A survey questionnaire was circulated for data collection. The statistical analysis based on Pearson's Chi-Square and Correlation models were carried out using the collected data. The conclusion was drawn from results that strongly revealed that the student's academic achievement at high school level was highly associated to their parent's educational level and socio-economic background. Therefore, it is strongly recommended that the financial condition of the population must be enhanced by taking suitable measures. The affected students should be awarded adequate financial assistance or scholarships to face such hardships of their learning career. Free laptops, learning materials, books, and stationery should also be provided.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.309-323
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• 2023

As the role of online reviews has become increasingly crucial, numerous studies have been conducted to utilize helpful reviews. Helpful reviews, perceived by customers, have been verified in various research studies to be influenced by factors such as ratings, review length, review content, and so on. The determination of a review's helpfulness is generally based on the number of 'helpful' votes from consumers, with more 'helpful' votes considered to have a more significant impact on consumers' purchasing decisions. However, recently written reviews that have not been exposed to many customers may have relatively few 'helpful' votes and may lack 'helpful' votes altogether due to a lack of participation. Therefore, rather than relying on the number of 'helpful' votes to assess the helpfulness of reviews, we aim to classify them based on review content. In addition, the text of the review emerges as the most influential factor in review helpfulness. This study employs text mining techniques, including topic modeling and sentiment analysis, to analyze the diverse impacts of content and emotions embedded in the review text. In this study, we propose a review helpfulness prediction model based on review content, utilizing movie reviews from IMDb, a global movie information site. We construct a review helpfulness prediction model by using an explainable Graph Neural Network (GNN), while addressing the interpretability limitations of the machine learning model. The explainable graph neural network is expected to provide more reliable information about helpful or non-helpful reviews as it can identify connections between reviews.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.677-691
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• 2012

Location Based Services using GPS receiver with network enabled smart phone provides various services and many business models. Currently, many context awareness models on smart phone applications are under developing. But most of the services are based on current user position and Point of Interest(POI)s, which are very static. In this paper, we proposed and implemented multimedia tourist guide system using smart phone, which are very dynamic and provides tour guide's voice and audio service on the spot. Also we provides tour experience sharing method which can easily share the videos and pictures for each users.

• Journal of Intelligence and Information Systems
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• v.9 no.2
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• pp.19-38
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• 2003

In this research, we propose the mechanism to develop self-evolving expert systems (SEES) based on data mining (DM), fuzzy neural networks (FNN), and relational database (RDB)-driven forward/backward inference engine. Most researchers had tried to develop a text-oriented knowledge base (KB) and inference engine (IE). However, this approach had some limitations such as 1) automatic rule extraction, 2) manipulation of ambiguousness in knowledge, 3) expandability of knowledge base, and 4) speed of inference. To overcome these limitations, knowledge engineers had tried to develop an automatic knowledge extraction mechanism. As a result, the adaptability of the expert systems was improved. Nonetheless, they didn't suggest a hybrid and generalized solution to develop self-evolving expert systems. To this purpose, we propose an automatic knowledge acquisition and composite inference mechanism based on DM, FNN, and RDB-driven inference engine. Our proposed mechanism has five advantages. First, it can extract and reduce the specific domain knowledge from incomplete database by using data mining technology. Second, our proposed mechanism can manipulate the ambiguousness in knowledge by using fuzzy membership functions. Third, it can construct the relational knowledge base and expand the knowledge base unlimitedly with RDBMS (relational database management systems) module. Fourth, our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy relationships. Fifth, RDB-driven forward and backward inference time is shorter than the traditional text-oriented inference time.