• 한국중재학회지:중재연구
• /
• 제27권1호
• /
• pp.37-57
• /
• 2017

An arbitrator in Pakistan is required to file an arbitral award in a civil court of competent jurisdiction for its recognition and enforcement if an arbitral award is domestic or before the concerned High Court if the arbitral award is international. The court of law is required to issue a decree upon submitted arbitral award if an interested party do not apply for modification or remission of an arbitral award and do not challenge it for setting it aside or for revocation of its recognition and enforcement within a prescribed time limit. The challenging process of an arbitral award can be started by the aggrieved party of an arbitration agreement at the seat of arbitration or at the place where recognition and enforcement of an arbitral award is sought. The aggrieved party to an arbitration agreement is required to challenge an arbitral award within a prescribed time limit if contracting parties have not excluded the right to challenge an arbitral award. Limitation for challenging an arbitral award in Pakistan is 30 days under article 158 of the Limitation Act 1908, starting from the date of service of notice of filling of an arbitral award before the court of law. Generally, 90 days are given for an appeal against decision of the civil court of law under section 96 of the Code of Civil Procedure 1908, it is therefore highly recommended that challenging time of an arbitral award should be increased from 30 to 90 days.

• 정보보호학회논문지
• /
• 제9권2호
• /
• pp.25-36
• /
• 1999

이 논문에서는 S/KEY 메커니즘에서 사용 횟수 제한과 사전에 키를 만들어 저장해야 하는 중요한 문제점을 해결한 일회용 패스워드 메커니즘을 제안하다. 제안한 일회용 패스워드로부터 인증용키를 생성함으로써 인증용 키관리를 용이하게 하고, 인증과 더불어 클라이언트와 서버간의 통신 세션키의 분배도 가능하게 한다. 그리고 제안한 메커니즘은 스마트 카드를 이용함으로 인증 정보의 보호 및 관리가 용이하며, 서버의 challenge가 없는 클라이언트에서 서버로의 단방향 인증을 필요로 하는 시스템에 바로 적용된다. In this paper we propose a one-time password mechanism that solves the problems of the S/KEY: the limitation of a usage and the need of storage for keys. because of using a cryptographic algorithm the proposed mechanism has no the limitation of a usage. Also because of producing the key for an authentication from a user's password it is easy to manage the authentication key and is possible to share the session key between a client and a server after the authentication process. In addition the proposed mechanism is easy to protect and manage the authentication information because of using a smart card and is adopted by the system that needs a noe-way authentication from a client to a server without the challenge of a server.

• KSBB Journal
• /
• 제16권5호
• /
• pp.435-441
• /
• 2001

In spite of the powerfulness for the simultaneous study of proteome expression and post-translational modification, 2-D PAGE has inevitable limitation on detect low aboundant proteins. Since many of the low abundant proteins are likely to have very important regulatiory functions in cells, separation and analysis of low copy number proteins is an important issue in proteome studies and challenge for 2-D techniques. Among various methods developed to detect low abundant proteins, electrophoretic protein prefractionation, chromatographic protein prefractionation, and subcellular fractionation are explained in this paper. Their practical strengths and weaknesses are also explained with current research trends.

• EDISON SW 활용 경진대회 논문집
• /
• 제2회(2013년)
• /
• pp.292-293
• /
• 2013

Sub 10-nm thick of Si plate is simulated with the software for Nanowire Field Effect Transistor (FET) device simulation. With usual single crystal Si technology, it is difficult to realize flexible electronic devices. Here, we suggest a FET device based on thinned Si layer. The simulation implied a practical limitation of the Si plate thickness for flexible devices as 2 nm. With around this thickness, Si plate may have much flexibility than existing bulk MOSFETs.

• ETRI Journal
• /
• 제42권1호
• /
• pp.54-66
• /
• 2020

Nowadays, the broad availability of cameras and embedded systems makes the application of computer vision very promising as a supporting technology for intelligent transportation systems, particularly in the field of vehicle tracking. Although there are several existing trackers, the limitation of using low-cost cameras, besides the relatively low processing power in embedded systems, makes most of these trackers useless. For the tracker to work under those conditions, the video frame rate must be reduced to decrease the burden on computation. However, doing this will make the vehicle seem to move faster on the observer's side. This phenomenon is called the fast motion challenge. This paper proposes a tracker called dynamic swarm particle (DSP), which solves the challenge. The term particle refers to the particle filter, while the term swarm refers to particle swarm optimization (PSO). The fundamental concept of our method is to exploit the continuity of vehicle dynamic motions by creating dynamic models based on PSO. Based on the experiments, DSP achieves a precision of 0.896 and success rate of 0.755. These results are better than those obtained by several other benchmark trackers.

• 과학기술학연구
• /
• 제15권2호
• /
• pp.191-227
• /
• 2015

기존 혁신정책의 대안이자 사회문제의 새로운 대응책으로서 사회문제 해결형 연구개발사업이 시도되고 있다. 사회문제는 문제가 발생하는 사회적 맥락, 특히 문제에 직면하는 사용자를 이해하는 것이 중요하다. 그 때문에 사회문제 해결형 연구개발사업은 사회문제와 사용자의 수요를 발굴하고, 개발 및 실증과정에서 연구자와 사용자의 협업을 강조한다. 본 연구에서는 한국 시민연구사업과 일본 사회기술연구개발센터 사업의 두 사례를 들어 각각의 배경, 기본 구성, 추진 과정을 비교분석하였다. 두 사례에서는 사회문제 해결 목표와 사용자 참여 방안이 유사한 형태로 나타나고 있었다. 그러나 사업 성격과 추진 과정 측면에서는 일본 사례가 더 넓은 시각에서 사회문제 해결형 연구개발에 접근하고 있음을 알 수 있었다. 이는 한국에서는 기술개발 중심의 기존 연구개발체계가 그대로 유지되는 가운데 사회문제 해결형 연구개발사업과의 정합성이 떨어진 데 따른 것으로 해석된다. 따라서 공급중심 시각 탈피, 사용자 참여의 내실화, 법제도 사업화 등 기술 외적 부문의 발달을 위한 지원 수단을 마련하여 기존 연구개발체계에서 비롯된 한계를 극복할 수 있도록 해야 한다.

• 반도체디스플레이기술학회지
• /
• 제3권4호
• /
• pp.13-17
• /
• 2004

As the usage of wireless LAN becomes common in working environment, the number of database systems that support both wired and wireless users increases rapidly. The characteristics of wireless LAN that its speed is slow relatively comparing to wired network and the users in its environment connects to different communication points as they moves creates another challenge to be resolved in database systems. In the environment of hybrid communication systems, wired and wireless for voluminous data amount and a number of users, the two layer architecture of the conventional client-server database systems has limitation in the system performance. This is due to that server is the only point of data service in client-server database systems. In this paper, we discuss a new extended database system architecture that data services are distributed among servers and clients based on user database access patterns in order to improve system performance. We analyze the expected system performance by using simulation technique and prove the practical utilization of the system by demonstrating experimental results.

• International Journal of Advanced Culture Technology
• /
• 제11권3호
• /
• pp.253-259
• /
• 2023

The increasing incorporation of AI in video storyboard creation has been observed recently. Traditionally, the production of storyboards requires significant time, cost, and specialized expertise. However, the integration of AI can amplify the efficiency of storyboard creation and enhance storytelling. In Korea, AiSAC stands at the forefront of AI-driven storyboard platforms, boasting the capability to generate realistic images built on open datasets foundations. Yet, a notable limitation is the difficulty in intricately conveying a director's vision within the storyboard. To address this challenge, we proposed the application of image generation features from ChatGPT and Midjourney to AiSAC. Through this research, we aimed to enhance the efficiency of storyboard production and refined the intricacy of expression, thereby facilitating advancements in the video production process.

• 대한의용생체공학회:의공학회지
• /
• 제45권2호
• /
• pp.90-94
• /
• 2024

Diagnosing wounds presents a significant challenge in clinical settings due to its complexity and the subjective assessments by clinicians. Wound deep learning algorithms quantitatively assess wounds, overcoming these challenges. However, a limitation in existing research is reliance on specific datasets. To address this limitation, we created a comprehensive dataset by combining open dataset with self-produced dataset to enhance clinical applicability. In the annotation process, machine learning based on Gradient Vector Flow (GVF) was utilized to improve objectivity and efficiency over time. Furthermore, the deep learning model was equipped U-net with residual blocks. Significant improvements were observed using the input dataset with images cropped to contain only the wound region of interest (ROI), as opposed to original sized dataset. As a result, the Dice score remarkably increased from 0.80 using the original dataset to 0.89 using the wound ROI crop dataset. This study highlights the need for diverse research using comprehensive datasets. In future study, we aim to further enhance and diversify our dataset to encompass different environments and ethnicities.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권6호
• /
• pp.1692-1705
• /
• 2024

In this paper, we present a method that integrates a Grammar Transducer as an external language model to enhance the accuracy of the pre-trained Korean End-to-end (E2E) Automatic Speech Recognition (ASR) model. The E2E ASR model utilizes the Connectionist Temporal Classification (CTC) loss function to derive hypothesis sentences from input audio. However, this method reveals a limitation inherent in the CTC approach, as it fails to capture language information from transcript data directly. To overcome this limitation, we propose a fusion approach that combines a clause-level n-gram language model, transformed into a Weighted Finite-State Transducer (WFST), with the E2E ASR model. This approach enhances the model's accuracy and allows for domain adaptation using just additional text data, avoiding the need for further intensive training of the extensive pre-trained ASR model. This is particularly advantageous for Korean, characterized as a low-resource language, which confronts a significant challenge due to limited resources of speech data and available ASR models. Initially, we validate the efficacy of training the n-gram model at the clause-level by contrasting its inference accuracy with that of the E2E ASR model when merged with language models trained on smaller lexical units. We then demonstrate that our approach achieves enhanced domain adaptation accuracy compared to Shallow Fusion, a previously devised method for merging an external language model with an E2E ASR model without necessitating additional training.