• Journal of Arbitration Studies
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• v.27 no.1
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• pp.37-57
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• 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.9 no.2
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• pp.25-36
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• 1999

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
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• v.16 no.5
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• pp.435-441
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• 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.

• Proceeding of EDISON Challenge
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• 2013.04a
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• pp.292-293
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• 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
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• v.42 no.1
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• pp.54-66
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• 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.

• Journal of Science and Technology Studies
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• v.15 no.2
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• pp.191-227
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• 2015

The supply-driven innovation system is encountering its limitation. At the same time, the needs for solving societal challenges occurring in people's lives are growing. Social problem-solving R&D programs have been attracting attention as a countermeasure to satisfy these needs. It is important to understand the social context of the occurring problems as well as the users facing the social challenges. Therefore, social problem-solving R&D programs have to explore the social challenge and users' needs, with emphasis on the collaboration with researchers and users in the development and implementation process. This study carries out comparative analysis between 'Korean Citizen-driven R&D project' and 'Japanese Research institute of Science and Technology for Society (RISTEX)' concerning goals, construction of program, and promotion processes. The two cases are similar regarding the objectives of social problem-solving and the strategy for user participation. However, there are differences between the characteristics of the projects and promotion processes. The RISTEX is performing social problem-solving R&D with a much wider perspectives than the Korean project. This is because the Korean project maintained the existing R&D system with the lens of the supply-driven system, even when approaching social problem-solving. Therefore, this limitation should be overcome by adopting support systems discarding the supply-driven perspective, through substantiality of user participation, maintenance of legal system, and commercialization of technologies.

• Journal of the Semiconductor & Display Technology
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• v.3 no.4
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• pp.13-17
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• 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
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• v.11 no.3
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• pp.253-259
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• 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.

• Journal of Biomedical Engineering Research
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• v.45 no.2
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• pp.90-94
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• 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)
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• v.18 no.6
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• pp.1692-1705
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• 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.