• Journal of Internet Computing and Services
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• v.22 no.2
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• pp.69-75
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• 2021

In a contact-free society, online services are becoming more important than classic offline services. At the same time, the role of a contact center, which executes customer relation management (CRM), is increasingly essential. For supporting the CRM tasks and their effectiveness, techniques of process automation need to be applied. Quality assurance (QA) is one of the time and resource consuming, and typical processes that are suitable for automation. In this paper, a method of automatic quality evaluation for voice based consultations is proposed. Firstly, the speech in consultations is transformed into a text by speech recognition. Then quantitative evaluation based on the QA metrics, including checking the elements in opening and closing mention, the existence of asking the mandatory information, the attitude of listening and speaking, is executed. 92.7% of the automated evaluations are the same to the result done by human experts. It was found that the non matching cases of the automated evaluations were mainly caused from the mistranslated Speech-to-Text (STT) result. With the confidence of STT result, this proposed method can be employed for enhancing the efficiency of QA process in contact centers.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.1990-1992
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• 2001

In this paper, a NeuroFuzzy controller (NFC) with enhanced packet reservation multiple access (PRMA) protocol for QoS-guaranteed multimedia communication systems is proposed. The enhanced PRMA protocol adopts mini-slot technique for reducing contention cost, and these minislot are futher partitioned into multiple MAC regions for access requests coming from users with their respective QoS (quality-of-service) requirements. And NFC is designed to properly determine the MAC regions and access probability for enhancing the PRMA efficiency under QoS constraint. It mainly contains voice traffic estimator including the slot information estimator with recurrent neural networks (RNNs) using real-time recurrent learning (RTRL), and fuzzy logic controller with Mandani- and Sugeno-type of fuzzy rules. Simulation results show that the enhanced PRMA protocol with NFC can guarantee QoS requirements for all traffic loads and further achieves higher system utilization and less non real-time packet delay, compared to previously studied PRMA, IPRMA, SIR, HAR, and F2RAC.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.1
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• pp.305-321
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• 2012

Since Internet Protocol (IP) is the most important protocol in Next Generation Networks (NGNs), 3rd Generation Partnership Project (3GPP) utilizes Session Initial Protocol (SIP) based on IP as the base protocol for negotiating sessions in IP Multimedia Subsystem (IMS). Different from traditional circuit-switched network, in IMS, the media traffic and signaling are delivered through IP transport. The media traffic may affect the signaling efficiency in core network, due to traffic collisions and best effort packets delivery. This paper proposes a novel path-migration mechanism for enhancing the traffic efficiency in integrated NGN-IMS. The simulation results show that the interference and traffic collision can be reduce by applying proposed path-migration mechanism and the signaling efficiency in core network can be improved with higher system capability and voice quality.

• Proceedings of the Korea Information Processing Society Conference
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• 2006.05a
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• pp.639-642
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• 2006

본 논문에서는 다양한 서비스가 운용되고 있는 인터넷 망에서 PCM 및 ADPCM으로 압축된 음성데이터를 전송할 경우에 발생하는 패킷 크기와 한계 지연시간의 변화가 수신측의 음질에 미치는 영향을 분석하였다. 이를 기반으로 주어진 한계 지연시간에 대하여 적절한 음질을 제공하기 위한 전송패킷의 크기에 대하여 분석하여 적절한 코덱 선택 방법을 제안하였다. 제안된 방법의 실험결과를 입증하기 위해 음질 평가인 MOS평가 방법을 사용했으며 측정방법으로는 서울을 중심으로 전국5개 지역 지점별 5회 측정 각 지점의 임의 번호를 서울 콜 센터로 Call Forwarding 설정 후 측정하고, VQT은 PAMS 알고리즘과 ADRA(Audio Direction Reference Audio)를 사용하여 측정한 결과 음성코덱의 데이터비와 Datagram size에 의해 음성 품질이 달라짐과 적절한 코덱 선택방법임을 확인하였다.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.114-127
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• 2020

The online performance market is increasing due to recent pandemic events. However, due to the short introduction time of domestic online performances, there is a lack of related prior studies or success stories. In addition, most of these projects are short-lived projects or poor profits, so it is necessary to study how to activate them. The Sac on Screen project, which has been in progress since 10 years ago, has its own imaging experience, and the screening works and screening venues are also diverse, so it is an object of study. In addition, since annual satisfaction surveys are conducted, the business was evaluated based on the voice of customers from the data of the past three years. Based on the analyzed results, a free and paid version of the business model canvas was drawn through a group of experts. As a result of this synthesis, the following major implications were drawn. First, expanding research on online performances, second, needing a sense of responsibility for quality management of content, third, increasing diversity in content selection, and fourth, enhancing the liveliness of online performances, Fifth, efforts are needed to attract private investment and develop value-added products.

• Journal of Korea Trade
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• v.24 no.8
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• pp.63-80
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• 2020

Purpose - Recent empirical studies have shown that FDI is expected to be strongly associated with democratic governance, political stability, and sound macroeconomic conditions of the host country. We attempt to take it a step further to see if governments implement a major change in institutional characteristics, will the institutional reform toward better governance have a substantive effect in enhancing FDI inflows. This paper thus aims to analyze the importance of good governance as an important factor in the attractiveness of FDI inflows in ASEAN+3 (Korea, China, Japan) countries. Design/methodology - To determine the effects of good governance on FDI inflows across ASEAN+3 countries recorded between 1996-2018, the Worldwide Governance Indicators (WGI) are used to investigate the impact of good governance on FDI inflows. The model has been estimated by using fixed effects to show the robustness of the results. Findings - Our main findings can be summarized as follows: Political Stability, Rule of Law, and Voice and Accountability have a statistically significant impact on the inflow of FDI in the ASEAN+3 Countries, especially for Korean economy. Moreover, GDP growth continue to exert their positive influence. However, Regulatory Quality, Government Effectiveness and Control of Corruption, though equally important, are insignificant to attract FDI inflows. The key finding is that good governance has a significant impact on inward FDI in the ASEAN+3 countries. Originality/value - Existing studies focus on the impact of political factors on FDI across countries. This paper instead attempts to investigate which type of good governance is the most important in promoting FDI inflows across ASEAN+3 countries, which is essential for multinationals to consider when choosing a foreign site as a possible FDI destination.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.953-958
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• 2024

Recently, there has been growing interest in the Fourth Industrial Revolution, with a particular focus on the advancement of augmented reality (AR) devices. However, there is a shortage of AR content. Augmented reality operates through marker-based and markerless methods. The marker-based approach involves using a camera to capture images that serve as markers, enhancing them through AR principles. To address the scarcity of AR content and improve the quality of character goods, this study proposes integrating AR technology into character goods. The character industry is expanding each year, leading to a diverse range of character goods. Character acrylic stands, among these goods, leverage game, webtoon, and animation character IPs for sales. To enhance the design process, we utilized the character image as a marker, allowing for the creation of content that aligns with the characteristics of the character IP. We selected a webtoon character and developed AR content, incorporating features such as voice, speech bubbles, and an introduction to the webtoon, tailored to the webtoon's characteristics. This study demonstrates the potential of AR to present visual and auditory information, paving the way for a variety of products, including diverse content. We anticipate that utilizing this research will lead to the emergence of products encompassing various contents.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.1-10
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• 2024

Individuals with visual impairments face numerous challenges in their daily lives, with navigating streets and public spaces being particularly daunting. The inability to identify safe crossing locations and assess the feasibility of crossing significantly restricts their mobility and independence. Globally, an estimated 285 million people suffer from visual impairment, with 39 million categorized as blind and 246 million as visually impaired, according to the World Health Organization. In Saudi Arabia alone, there are approximately 159 thousand blind individuals, as per unofficial statistics. The profound impact of visual impairments on daily activities underscores the urgent need for solutions to improve mobility and enhance safety. This study aims to address this pressing issue by leveraging computer vision and deep learning techniques to enhance object detection capabilities. Two models were trained to detect objects: one focused on street crossing obstacles, and the other aimed to search for objects. The first model was trained on a dataset comprising 5283 images of road obstacles and traffic signals, annotated to create a labeled dataset. Subsequently, it was trained using the YOLOv8 and YOLOv5 models, with YOLOv5 achieving a satisfactory accuracy of 84%. The second model was trained on the COCO dataset using YOLOv5, yielding an impressive accuracy of 94%. By improving object detection capabilities through advanced technology, this research seeks to empower individuals with visual impairments, enhancing their mobility, independence, and overall quality of life.