• Proceedings of the IEEK Conference
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• summer
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• pp.313-316
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• 2004

This paper presents a new dynamically adaptable polling scheme for efficient support of real-time traffic over an IEEE 802.11 wireless LAN network. The poll scheduling plays an important role in IEEE 802.11 PCF. However, the current version of the polling list management scheme proposed in the IEEE802.11 standard is inefficient when a variable number of mobile stations have variable packets to transmit. If Point Coordinator(PC) has an exact information on the station status, it is possible to efficiently perform polling. In this thesis. we suggest an adaptable polling scheme to meet requirements of the stations. In our scheme, each station transmits packets including a piggyback information to inform that it wants to receive a poll in the next polling duration. Simulation results indicate that our scheme may reduces the packet discard ratio and real-time packet transfer delay.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1111-1122
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• 2008

Recently, because of decreasing in population, most of local universities are competing to attract new students in the entrance examination. These situations cause that most of the examinee apply for several universities to matriculate in a university. So these problem may raise a serious trouble such as additional new students invited. Therefore, in this study, we consider a few statistical models by using data mining technique to understand the pattern of new students who discard registration(seceders) in spite of success in the D university entrance examination. To construct these models, we use entrance examination data of three years. On the basis for analysis results of entrance examination data, we look into the features for secession of new students who success in an university entrance examination. We provide a basic information to make a effective entrance plan for seceders in future. Also, we make a search for the trend based on three years by analyzing entrance examination data of 2006, 2007 and 2008 years.

• Korean Journal of Rural Living Science
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• v.6 no.1
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• pp.1-10
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• 1995

To lead rural clothing management in the rural household, we assessed in terms of the wearing of pesticide protective clothing and care methods of contaminated clothing, consumer consciousness, the discard method of clothing et al. in rural areas of Gyonggi-Do by sampling 122 households. The results are as following ; 1. The behavior for laundering management didn't appropriate in view of certification of label about laundry method, frequency of laundry and quantitative use of detergent. Also family's cooperative attitude wasn't insufficient. 2. Reasons of dissatisfaction about retained clothing were decreased in order of discoloration, shrink or breakage after laundry, breakage of seam or cloth, unlabel, allergy from cloth. The solution of trouble was acted passively. 3. Reasons of hoarding of clothing were high because of change on size, fashion, and low because of wornout. Still-wearable garments were discarded in proportion of one to one. 4. The ratio of putting on the fatigue cap which the Once of Rural Development has propagated was under 10 percent. 5. Protective clothes against agricultural chemicals had not been prepared and contaminated clothing was often washed with regular family wash.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.4
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• pp.423-431
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• 2015

A leased line modem usability was evaluated and investigated in the wireless internet protocol(IP) network. The signal of the modem in the circuit switching network was translated to IP packet by using several voice codecs (PCM, G.711A, $G.711{\mu}$, and etc.) and transmitted through the wireless IP network. The wireless IP network was simulated by the Tactical information and communication network Modeling and simulation Software(TMS). The performance and usability of the leased line modem are simulated using the system-in-the-loop(SITL) function of TMS with respect to packet delay, jitter, packet discard ratio, codecs, and wireless link BER.

• Journal of Electrical Engineering and Technology
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• v.9 no.5
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• pp.1780-1787
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• 2014

Arterial oxygen saturation ($SpO_2$) monitoring for newborns requires special attention in neonatal intensive care units (NICUs). Newborns have very low photo-plethysmogram (PPG) amplitudes and their body movements are difficult to contain. Hardware design and its associated signal processing algorithms should be robust enough so that faulty measurements can be avoided. In this study, improved designs were implemented to deal with low perfusion, motion artifact, and the influence of ambient light. Dynamic range was increased by using different LED intensities and a feedback system. To minimize the effects of motion artifact and to discard other unqualified data, four additional algorithms were used, which were based on dual-trace detection, continuity of DC level, morphology of PPG, and simultaneity check of $SpO_2$. Our $SpO_2$ system was tested with newborns with normal respiration in the NICU. Our system provided fast, real-time responses and 100% artifact detection was accomplished under 84% of $SpO_2$.

• Journal of Information Management
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• v.28 no.1
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• pp.62-89
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• 1997

The purpose of this study is to propose the efficient and reasonable weeding model of the scientific literature by measuring a life-span of literatures in the field of nuclear engineering through citation analysis, the average life of actually discarded literatures in the KAERI (Korea Atomic Energy Research Institute), and the life of use through the circulation data analysis from 1992 to 1994 of KAERI.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.50 no.3
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• pp.342-350
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• 2014

An active stimulating device, such as a fluttering net or canvas attached to the end of a cod end generating a shaking motion, could help to encourage the escape of juvenile fish positioned passively near the net. Field fishing trials using a shrimp beam trawl were carried out to examine the effect on the reduction of juvenile fish or other discard catch by generating a shaking movement of the cod end using an unbiased cap-like round canvas. The mean period of the shaking motion with the round canvas was ~14 s, and the mean amplitude was 0.4 m as measured by peak event analysis and the global wavelet method. The bycatch of juvenile fish in 14 trials decreased by ~30% and by ~25% using a steady cod end for the total bycatch using a shaking cod end in the shrimp beam trawl, while the marketing catch was similar between steady and shaking cod ends. There was no difference in the body size of the shrimp or fish and species composition between the steady and shaking cod ends. Above results demonstrate a new method for bycatch reduction using an active stimulating device, although more detailed studies are needed.

• The KIPS Transactions:PartC
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• v.17C no.2
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• pp.159-164
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• 2010

The data wiping is a technique which perfectly deletes data in a storage to prevent data recovery. Currently, management of stored data is important because of increasing an accident of personal information leakage. Especially, if you need to discard data contained personal information, using a wiping tool which permanently deletes data to prevent unnecessary personal information leakage. The data wiping is also used for data security and privacy protection. However the data wiping can be used intentionally destruction of evidence. This intentionally destruction of evidence is important clues of forensic investigation. This paper demonstrates the methods for detecting the usage of wiping tools in digital forensic investigation.

• Proceedings of the KOR-KST Conference
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• 2000.02a
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• pp.25-47
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• 2000

In route guidance systems fastest-path routing has typically been adopted because of its simplicity. However, empirical studies on route choice behavior have shown that drivers use numerous criteria in choosing a route. The objective of this study is to develop computationally efficient algorithms for identifying a manageable subset of the nondominated (i.e. Pareto optimal) paths for real-time vehicle routing which reflect the drivers' preferences and route choice behaviors. We propose two pruning algorithms that reduce the search area based on a context-dependent linear utility function and thus reduce the computation time. The basic notion of the proposed approach is that ⅰ) enumerating all nondominated paths is computationally too expensive, ⅱ) obtaining a stable mathematical representation of the drivers' utility function is theoretically difficult and impractical, and ⅲ) obtaining optimal path given a nonlinear utility function is a NP-hard problem. Consequently, a heuristic two-stage strategy which identifies multiple routes and then select the near-optimal path may be effective and practical. As the first stage, we utilize the relaxation based pruning technique based on an entropy model to recognize and discard most of the nondominated paths that do not reflect the drivers' preference and/or the context-dependency of the preference. In addition, to make sure that paths identified are dissimilar in terms of links used, the number of shared links between routes is limited. We test the proposed algorithms in a large real-life traffic network and show that the algorithms reduce CPU time significantly compared with conventional multi-criteria shortest path algorithms while the attributes of the routes identified reflect drivers' preferences and generic route choice behaviors well.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3507-3522
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• 2022

Model pruning methods have attracted huge attention owing to the increasing demand of deploying models on low-resource devices recently. Most existing methods use the weight norm of filters to represent their importance, and discard the ones with small value directly to achieve the pruning target, which ignores the contribution of the small norm filters. This is not only results in filter contribution waste, but also gives comparable performance to training with the random initialized weights [1]. In this paper, we point out that the small norm filters can harm the performance of the pruned model greatly, if they are discarded directly. Therefore, we propose a novel filter contribution recycle (FCR) method for structured model pruning to resolve the fore-mentioned problem. FCR collects and reassembles contribution from the small norm filters to obtain a mixed contribution collector, and then assigns the reassembled contribution to other filters with higher probability to be preserved. To achieve the target FLOPs, FCR also adopts a weight decay strategy for the small norm filters. To explore the effectiveness of our approach, extensive experiments are conducted on ImageNet2012 and CIFAR-10 datasets, and superior results are reported when comparing with other methods under the same or even more FLOPs reduction. In addition, our method is flexible to be combined with other different pruning criterions.