• Journal of Satellite, Information and Communications
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• v.8 no.3
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• pp.10-14
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• 2013

In this paper, when applying current-mode circuit design technique showing constant power dissipation none the less operation frequency, to the low power design of dynamic voltage frequency scaling, we introduce the low power current-mode circuit design technique applying MOSFET in sub-threshold region, in order to solve the problem that has large power dissipation especially on the condition of low operating frequency. BSIM 3, was used as a MOSFET model in circuit simulation. From the simulation result, the power dissipation of the current memory circuit with sub-threshold MOSFET showed $18.98{\mu}W$, which means the consumption reduction effect of 98%, compared with $900{\mu}W$ in that with strong inversion. It is confirmed that the proposed circuit design technique will be available in DVFS using a current-mode circuit design.

• Communications of the Korean Mathematical Society
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• v.24 no.1
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• pp.153-159
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• 2009

In this paper, we analyze a dynamic threshold decryption scheme proposed by Long et al. It was claimed that the scheme allows to renew the master key, or to add/remove or update a decryption server, without leaking any information on the master key and changing other decryption server's secret keys. We present an attack to Long et al's scheme by using the fact that it renews a decryption server's secret key without changing other decryption server's secret shares.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.4A
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• pp.356-363
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• 2002

Video scene segmentation is fundamental role for content based video analysis and many kinds of scene segmentation schemes have been proposed in previous researches. However, there is a problem, which is to find optimal threshold value according to various kinds of movies and its content because only fixed single threshold value usually used for cut detection. In this paper, we proposed the variable dynamic threshold method, which change the threshold value by a probability distribution of cut detection interval and information of frame feature differences and cut detection interval in previous cut detection is used to determine the next cut detection. For this, we present a cut detection algorithm and a parameter generation method to change the threshold value in runtime. We also show the proposed method, which can minimize fault alarm rate than the existing methods efficiently by experimental results.

• Korean Journal of Remote Sensing
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• v.15 no.3
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• pp.239-251
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• 1999

The elimination process of cloud-contaminated pixels is one of important steps before obtaining the accurate parameters of land and ocean surface from AVHRR imagery. We developed a 6step threshold method to detect the cloud-contaminated pixels from NOAA-14/AVHRR datime imagery over land using different combination of channels. This algorithm has two phases : the first is to make a cloud-free characteristic data of land surface using compositing techniques from channel 1 and 5 imagery and a dynamic threshold of brightness temperature, and the second is to identify the each pixel as a cloud-free or cloudy one through 4-step threshold tests. The merits of this method are its simplicity in input data and automation in determining threshold values. The threshold of infrared data is calculated through the combination of brightness temperature of land surface obtained from AVHRR imagery, spatial variance of them and temporal variance of observed land surface temperature. The method detected the could-comtaminated pixels successfully embedded inthe NOAA-14/AVHRR daytime imagery for the August 1 to November 30, 1996 and March 1 to July 30, 1997. This method was evaluated through the comparison with ground-based cloud observations and with the enhanced visible and infrared imagery.

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.417-430
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• 2024

Purpose - This paper investigates the asymmetric capital structure adjustment toward target leverage. Our study consistently estimates heterogeneous speeds of adjustment in different regimes reflecting heterogeneity in firm characteristics. Design/methodology/approach - We collect balanced panel data on Korean listed firms over the period 2005 - 2023. In order to capture non-linearities in the speed of capital structure adjustments, this paper employs the dynamic panel threshold model that allows endogeneity in regressors and threshold variables. Findings - Using firm characteristics as proxies for adjustment costs of deviation from and adjustment to target leverage, we find asymmetric effects on the speed of capital structure adjustments. Firms of large size, with high profitability, with large cash flow and with large investment adjust capital structure faster than those with the opposite characteristics. On the other hand, firms with high growth opportunities and with high risk move slowly toward the target leverage. Research implications or Originality - This paper provides new evidence of cross-sectional asymmetries in capital structure adjustments, which calls for cautions in sample-splitting in an arbitrary manner.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.165-173
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• 2011

In Mobile Ad-hoc Network(MANET), mobile nodes are operated by limited batteries. Therefore, it is very important to consume the battery power efficiently to prevent termination of the network. In this paper, we propose Energy-aware Dynamic Source Routing(EDSR) which is based on the Dynamic Source Routing(DSR) to increase the packet transmission and lifetime of the network. If the battery power of a node reaches threshold level, then the node gives up the function of relaying to save battery power except as a source and a destination node. While the conventional DSR doesn't consider the battery consumptions of the nodes, EDSR blocks the nodes from relaying whose battery powers are below the threshold level. Simulation results show the proposed EDSR is more efficient in packet transmission and network lifetime through the balanced battery consumption of the mobile nodes.

• Journal of information and communication convergence engineering
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• v.14 no.1
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• pp.21-25
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• 2016

N-screen is a promising technology to improve support for multimedia multicasting, content sharing, content mobility, media scalability, and seamless mobility. In this paper, the WiMedia distributed-MAC (D-MAC) protocol is adopted for development of a seamless N-screen wireless service. Furthermore, to provide a multi-hop, one source multi-use N-screen service through point to point streaming in a seamless D-MAC protocol, a dynamic multi-frame transmission technology is proposed. In this technology, a dynamic time slot allocation scheme and a multi-hop resource reservation scheme are combined. In the proposed dynamic time slot allocation scheme, two thresholds, a hard threshold and a soft threshold, are included to satisfy the power consumption and delay requirements. A multi-frame DRP reservation scheme is proposed to minimize end-to-end delay during the multi-hop transmissions between N-screen devices. The proposed dynamic multi-frame transmission scheme enhances N-screen performance in terms of the multi-hop link establishment success rate and link establishment time compared to the conventional WiMedia D-MAC system.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04d
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• pp.403-405
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• 2003

Ad Hoc 네트워크에서 Threshold-Tuning을 통한 노드들간의 균형적인 에너지 소모를 위한 알고리즘 (BECT : A Balanced Energy Consumption Algorithm by Threshold-Tuning)을 제안한다. BECT는 노드간 에너지 균형을 맞추어 네트워크의 수명 (Network Lifetime)을 연장한다. 제안한 알고리즘은 DSR (Dynamic Source Routing) 프로토콜을 기반으로 구현하였으며, GloMoSim 2.0을 이용하여 실험을 하였다. 실험 결과 BECT가 실험 토폴로지에 따라 DSR의 에너지 균형을 17-31% 향상시키며, 데이터 전송율이나 제어 패킷 비율에 있어서도 향상된 성능을 보여준다.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.14 no.1
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• pp.15-23
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• 2008

Purpose : To evaluate the effects of elastic resistance exercise of lumbo-pelvic region and upper limbs muscle on equilibrium ability and shoulder pain of the elderly. Methods : The subject consisted of sixteen healthy elderly people(14 females. 2 males). They were from 61 to 83 years old and the mean age was 68.06. All subjects were assigned only the elastic resistance exercise group. The subject group received elastic resistance exercise for about 60 minutes per day, two times per weeks, during 8 weeks period. A Stop watch was used to measure static equilibrium ability and dynamic equilibrium ability and then pressure algometer was used to measure shoulder press pain threshold. All measurements of each subjects were measured at pre-experiment and post-experiment stage. SPSS 12.0 program was used to compile results. A Paired samples t-test was conducted to examine changes of static equilibrium, dynamic equilibrium and shoulder press pain threshold between pre-experiment and post-experiment. Results : The static equilibrium ability, dynamic equilibrium ability and shoulder press pain threshold were significantly differences between pre-experiment and post-experiment(p<.05). Conclusion : This data suggests that an eight week elastic resistance exercise improved static equilibrium ability and dynamic equilibrium ability and then reduced shoulder pain.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.3
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• pp.169-175
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• 1996

In this paper, a new parallel neural network system that performs dynamic competitive learning is proposed. Conventional learning mehtods utilize the full dimension of the original input patterns. However, a particular attribute or dimension of the input patterns does not necessarily contribute to classification. The proposed system consists of parallel neural networks with the reduced input dimension in order to take advantage of the information in each dimension of the input patterns. Consensus schemes were developed to decide the netowrks performs a competitive learning that dynamically generates output neurons as learning proceeds. Each output neuron has it sown class threshold in the proposed dynamic competitive learning. Because the class threshold in the proposed dynamic learning phase, the proposed neural netowrk adapts properly to the input patterns distribution. Experimental results with remote sensing and speech data indicate the improved performance of the proposed method compared to the conventional learning methods.