• Electronics and Telecommunications Trends
• /
• v.39 no.1
• /
• pp.74-82
• /
• 2024

Music is a means of emotional expression and self-expression. In addition, it allows to interact with others and communicate with the world. Music may be considered as inaccessible for people with hearing impairment, who are sometimes discriminated from the music community. We explore trends in various technologies and research that enable everyone to access and enjoy music through experiences that leverage new and innovative technological approaches and bridge the gap between people with and without hearing impairment. Various aspects of haptic systems are being studied, but most of them are performance-oriented and focus only on technical functions. As research matures, more detailed and new studies that converge with various senses are being attempted. These studies will likely evolve into influential research areas that can positively affect the lives of people in terms of accessibility and inclusion by providing detailed functions and stimuli to specific users, including those with hearing impairment.

• Journal of Information Technology Applications and Management
• /
• v.29 no.5
• /
• pp.1-12
• /
• 2022

This research is situated at the intersection between industry 4.0, circular economy and tourism, in an attempt to observe the fourth industrial revolution at the service of the application of circular economy principles in the tourism industry. This approach has gained importance due to the COVID-19 pandemic, which has accelerated fundamental dynamics of change linked to business digitization and environmental sustainability. Within the theoretical framework delimited by the aforementioned intersection, the 'goCircular Radar' project, launched by 'TheCircularLab', from Ecoembes (Spain), has been taken as an empirical reference. Among the 165 startups in the circular economy sector, special attention has been paid to those that are oriented, or have a potential application, to tourism. The activities they carry out are described, with particular attention to the technologies they use and their contribution to circularity.

• Nuclear Engineering and Technology
• /
• v.55 no.11
• /
• pp.4282-4286
• /
• 2023

Nuclear energy is estimated by the machine learning method as the mathematical quantifications where neural networking is the major algorithm of the data propagations from input to output. As the aspect of nuclear energy, the other energy sources of the traditional carbon emission-characterized oil and coal are compared. The artificial intelligence (AI) oriented algorithm like the intelligence of a robot is applied to the modeling in which the mimicking of biological neurons is utilized in the mathematical calculations. There are graphs for nuclear priority weighted by climate factor and for carbon dioxide mitigation weighted by climate factor in which the carbon dioxide quantities are divided by the weighting that produces some results. Nuclear Priority and CO2 Mitigation values give the dimensionless values that are the comparative quantities with the normalization in 2010. The values are 1.0 in 2010 of the graphs which are changed to 24.318 and 0.0657 in 2040, respectively. So, the carbon dioxide emissions could be reduced in this study.

• International Journal of Computer Science & Network Security
• /
• v.24 no.5
• /
• pp.129-134
• /
• 2024

Object Detection is an emerging technology in the field of Computer Vision and Image Processing that deals with detecting objects of a particular class in digital images. It has considered being one of the complicated and challenging tasks in computer vision. Earlier several machine learning-based approaches like SIFT (Scale-invariant feature transform) and HOG (Histogram of oriented gradients) are widely used to classify objects in an image. These approaches use the Support vector machine for classification. The biggest challenges with these approaches are that they are computationally intensive for use in real-time applications, and these methods do not work well with massive datasets. To overcome these challenges, we implemented a Deep Learning based approach Convolutional Neural Network (CNN) in this paper. The Proposed approach provides accurate results in detecting objects in an image by the area of object highlighted in a Bounding Box along with its accuracy.

• Annual Conference of KIPS
• /
• 2007.05a
• /
• pp.629-632
• /
• 2007

현재 SLA 를 운영하고 있는 대부분의 회사들은 IT 성능 중심의 SLM 평가를 하고 있다. 그 원인은 SLA 를 평가 관리하는 서비스 수준의 관리 요소가 서버, 네트워크, 어플리케이션 같은 기술 측면의 성능만을 운영 관리했기 때문이다. 이로 인해 SLM 평가 관리를 위한 정보시스템 서비스와 비즈니스 서비스의 연계성에 대해서는 많은 연구가 진행되지 못하였다. 따라서 본 연구의 프레임워크는 정보시스템 서비스 요청사의 비즈니스 성과와 IT 운영서비스 수준관리 연계를 통한 SLM 프레임워크를 구축하는 것을 목적으로 한다.

• Annual Conference of KIPS
• /
• 2007.05a
• /
• pp.225-228
• /
• 2007

차세대 보험시스템에서 지향하는 실시간 기업(RTE: Real Time Enterprise) 서비스가 오픈 프레임 플랫폼 기반의 다운사이징으로 구체화됨에 따라 서비스 지향 아키텍처(SOA: Service Oriented Architecture)와 이벤트 기반 아키텍처(EDA: Event Driven Architecture)가 비즈니스 어플리케이션을 변화시키는 주요한 설계 스타일로 등장하게 되었다. 이에 따라 엔터프라이즈 서비스 버스를 통한 서비스 흐름이 업무 서비스간 유연한 결합이 되도록 프로세스 관리 목적에 부합하는 연계성 방안이 필요하게 되었다. 본 연구에서는 이러한 설계 스타일의 SOA 구현방식에 있어서 비즈니스 프로세스관리(BPM: Business Process Management)에 대한 비즈니스 측면과 IT 측면의 연계성 방안을 마련하였다. 이 방안을 도출하기 위하여 관련 디자인 패턴을 연구한 후 BPM 솔루션을 활용하여 연계테스트를 통한 검증을 수행하였고, 이러한 분석결과는 향후 SOA 로 차세대프로젝트를 진행하려는 이용자들에게 아키텍처 수립 및 시스템 개발에 필요한 효율적인 방안을 제공할 수 있을 것이다.

• International journal of advanced smart convergence
• /
• v.13 no.3
• /
• pp.135-142
• /
• 2024

Recently, along with digital transformation, technologies such as cloud computing, big data, and artificial intelligence have been actively introduced. In a situation where these technological changes are progressing rapidly, it is often difficult to manage processes efficiently using existing simple workflow management methods. Companies providing current cloud services are adopting virtualization technologies, including virtual machines (VMs) and containers, in their distributed system infrastructure for automated application deployment. Accordingly, this paper proposes a process-based orchestration system for integrated execution of corporate process-oriented workloads by integrating the potential of big data and machine learning technologies. This system consists of four layers as components for performing workload processes. Additionally, a common information model is applied to the data to efficiently integrate and manage the various formats and uses of data generated during the process creation stage. Moreover, a standard metadata protocol is introduced to ensure smooth exchange between data. This proposed system utilizes various types of data storage to store process data, metadata, and analysis models. This enables flexible management and efficient processing of data.

• Asia Marketing Journal
• /
• v.26 no.3
• /
• pp.186-200
• /
• 2024

Phygital is an approach that integrates digital technology into physical retail spaces to provide innovative and interactive customer experiences. As this approach becomes more widespread, understanding its effects on consumer behavior is crucial. This study aims to bridge this gap by investigating the factors that influence cognitive, emotional, technological, sensory, and social experiences in phygital retail. It also seeks to understand how these factors influence customer engagement, ultimately impacting customers' patronage intentions and recommendation intentions. The study surveyed 380 customers in China who had experienced phygital retail. The results show that various dimensions of customer experience influence customer engagement, with sensory and social encounters having the greatest impact. Customer engagement, in turn, affects customers' patronage intention and recommendation intentions. Importantly, this study examines how specific sub-dimensions of customer experience impact recommendation intentions in a phygital retail environment. These insights provide valuable strategic guidance for service-oriented retailers.

• Journal of Korean Port Research
• /
• v.13 no.1
• /
• pp.51-64
• /
• 1999

This study is on the focus of the cost-effective and time-effective in the BCTOC which commenced the On Dock Termainal System in 1998 for the first time in Korea. On this process of study two categories should be considered : (1) Improvement on Business Process (2) Improvement on Information Technology. With these two accesses a new future-oriented and prospective model could be put on our hand as follows. (1) Improvement on Business Process \circled1Consistency of container In-Out Operation \circled2Simplicity of Rate appraisal \circled3Unified operation on Billing and Request (2) Improvement on Information Technology \circled1Scale up the Information Application \circled2Constructing an one-spot simultaneous Information Holding System \circled3Combination of Internet and Integrated Database System.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.28 no.2B
• /
• pp.117-128
• /
• 2003

The network management becomes more complicated due to the growth of network technology and introduction of a large number of new multimedia services. TINA has appeared as a concept for the advanced network management system platform using the information technology such as distributed processing and object oriented modeling. Since TINA is on the basis of DPE (Distributed Processing Environment), it can manage networks and services for open telecommunications. In this paper, we propose an implementation strategy of the MIB/MIT to federate various CORBA objects in CORBA based network management system implementing TINA DPE. The proposed strategy is novel in the sense that it can support the distribution of MIB/MIT that is well matched with the distributed component architecture of TINA DPE, and it can also support the scoping and filtering services on the MIT using CORBA Naming Service.