• 한국인터넷방송통신학회논문지
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• 제15권1호
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• pp.125-129
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• 2015

무선센서네트워크의 효율적인 에너지 사용과 개별 노드의 수명 증가는 센서 네트워크의 효율적인 운영을 위해 매우 중요한 요소이며 많은 라우팅 프로토콜들이 네트워크 수명을 최대화하기 위해 개발되고 있다. 특히 Wendi Heinzelman에 의해 제시된 LEACH프로토콜은 간단하고 효율적인 클러스터링 기반의 라우팅 프로토콜로 잘 알려져 있다. 그러나 LEACH프로토콜은 총 데이터 전송 량이 불규칙한 네트워크에서 효율이 떨어지게 되므로 클러스터의 안정도가 낮아지게 된다. 그러므로 본 논문에서는 클러스터링 기반의 라우팅 프로토콜에서 개선된 확률적 클러스터 헤드선출 방법을 제안한다. LEACH프로토콜과 HEED프로토콜에 대해 조사해보고 LEACH프로토콜에 새로운 확률적 클러스터 헤드 선출방법을 적용하고 비교하여 개선된 점을 보여준다.

• Korean Chemical Engineering Research
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• 제57권3호
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• pp.378-386
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• 2019

이 논문에서는 염수 중 이온 농축을 위해 진공 증발법과 하이드레이트 활용법 적용시 소모 에너지를 계산 결과를 보고하고자 한다. 상온 상압의 염수(NaCl 농도 0.35 wt%) 1 mol/s 를 10배 농축할 경우를 가정하여 $69^{\circ}C$, 30 kPa 조건에서 진공 증발시와 객체가스로 $CH_4$, $CO_2$, $SF_6$ 를 사용한 하이드레이트 기반 기술의 에너지 소모량을 계산하였다. 진공 증발시 소모 에너지는 약 47 kJ/mol 이었으며, $CH_4$, $CO_2$, $SF_6$ 하이드레이트 공정을 적용할 경우에는 각각 43, 32, 28 kJ/mol의 에너지가 필요하였다. 에너지 소모량 관점에서 이온 농축시 하이드레이트 활용방법은 경쟁력있는 기술이 될 수 있으나, 객체가스에 따라 수화수(hydration number), 수화에너지, 압축에너지 등이 달라지므로 적절한 객체가스의 선정이 매우 중요한 요소라고 판단된다. 하이드레이트를 이용한 용존 이온 농축 기술의 상용화를 위한 핵심 요소로는 객체가스의 선정, 하이드레이트와 농축수의 효과적 분리, 하이드레이트 형성 속도 향상을 들 수 있다.

• Asian-Australasian Journal of Animal Sciences
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• 제20권8호
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• pp.1305-1318
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• 2007

On a global scale agriculture and in particular enteric fermentation in ruminants is reported to produce about one fourth (21 to 25%) of the total anthropogenic emissions of methane ($CH_4$). Methane is produced during the anaerobic fermentation of hydrolyzed dietary carbohydrates in the rumen and represents an energy loss to the host besides contributing to emissions of greenhouse gases into the environment. However, there appears to be uncertainty in the $CH_4$ estimation from livestock due to the limited availability of data to document the variability at the farm level and also due to the significant impact of diet on the enteric $CH_4$ production. The methane mitigation strategies require robust prediction of emissions from rumen. There are many methods available which would be suitable for measuring $CH_4$ produced from the various stages of animal production. However, several factors need to be considered in order to select the most appropriate technique like the cost, level of accuracy required and the scale and design of the experiments to be undertaken. Selection of any technique depends on the accuracy as each one has its advantages and disadvantages. Screening of mitigation strategies may be evaluated using individual animal before large-scale trials on groups of animals are carried out. In this review various methods for the estimation of methane production from ruminants as well as for the determination of methane production potential of ruminant feeds are discussed. The advantages and disadvantages of the methods starting from respiration chamber, ventilated hood, facemask, sulphur hexafluoride ($SF_6$) tracer technique, prediction equations and meteorological methods to in vitro methods are detailed.

• 대한치과마취과학회지
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• 제5권2호
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• pp.101-106
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• 2005

Purpose: This retrospective study assessed the effectiveness of submucosal (SM) midazolam (M), oral chloral hydrate (CH), hydroxyzine (H), and nitrous oxide (N) 99 uncooperative pediatric dental patients over 182 sedation sessions. Methods: Selection criteria included good medical health (ASA I), from 2 to 6 years of age, uncooperative behavior, and the need for restorations and dental surgery. The children who was administerated with CH H, N was Group 1 (48 case). The children who was administerated with CH, H, N, M was Group 2 (51 case). All the patients received oral CH (50-70 mg/Kg), H (1 mg/Kg) and N (less than 50%). Additionally the Group 2 received SM midazolam (0.1-0.2 mg/kg). Behavior response was rated as quiet (Q), crying (C), movement (M), or struggling (S) every 5 minutes through operative procedures. Behavior response rating was assigned to Houpt scale of Overall behavior. Data was analyzed using Chi-Square Test. Results: The Group 2 had more effective (88.2%) than the Group 1 (68.8%)(P = 0.05). Also, vomiting response decreased in the Group 2 (94.4%) than those with oral administration of chloral hydrate alone without SM midazolam (77.1%)(P = 0.05). Conclusions: SM midazolam improved the quality of sedation and vomiting response.

• 한국대기환경학회지
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• 제26권4호
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• pp.449-452
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• 2010

In this article, the performance of the THC analyzer was inspected using two different span gases of methane ($CH_4$) and propane ($C_3H_8$). To explore the effect of standard gas selection, MicroFID system was tested by the following procedures. Initially, the system is spanned by propane gas of 60 ppm (or 180 ppmC). The system is then run against methane standards prepared at 5 different concentrations of 200, 250, 300, 400, and 500 ppm. According to the suggestion of the KMOE's test procedure to use multiplying a factor of 3 (for propane), the resulting THC values derived by methane standards were systematically biased with ~500% error relative to true value. This paper discusses the interpretation procedures to obtain the least biased THC values for a given span set-up.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.249-251
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• 2014

This paper proposes a channel diversity based load-balancing cross-layer routing scheme for Wireless Mesh Networks (WMNs). The proposed scheme deals with channel diversity phase and load balancing phase in WMNs. Channel diversity factor $metric_{ch-d}$ and load balancing factor $f_{load}$ are defined and employed cooperatively as a combined path selection policy.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

• Asian-Australasian Journal of Animal Sciences
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• 제17권5호
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• pp.693-699
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• 2004

Live animal selection programs that favor animals with a minimum amount of carcass fat are used for improving breeding flocks of sheep. To predict carcass characteristics of live sheep using body measurements in breeding flocks, 200 male and female lambs of two fat-tailed Iranian sheep breeds (Moghani and Makui) were used. Depth of soft tissue over the 12th rib of the live animals was measured with ultrasound (ULGR) and with hypodermic needle (NGR). The height at withers (HW), body length (BL), circumference of heart girth (CH) and width of hooks (WH), were measured. All animals were slaughtered; carcasses were cut into joints and dissected. Breed had a significant effect on all of the live easurements. The Moghani breed showed a higher value for HW, CH, ULGR and NGR, compared to that of Makui. Except for soft tissue depths; ULGR, NGR and GR, the male lambs showed higher values in live and carcass measurements than females. Percentages of carcass, total fat and intermuscular fat in females were higher than that of male lambs. In spite of the higher amount of subcutaneous and intermuscular fat in female (which is usually used for their physiological need, such as pregnancy and lactation), the male lambs had a heavier fat-tail than females. There was a wide range of variation of percentage of total carcass fat and total chemical fat content of carcass in the two breeds. Eventually this wide variation could be use by animal breeders for selection of animals with a lesser amount of carcass fat. Live weight of lambs showed a relatively low correlation with percentage of carcass lean, total fat and subcutaneous and intermuscular fat. Total lean meat was predicted with relatively high coefficients of determination in the two breeds ($R^2$=0.61 and 0.89, respectively). Live weight and carcass traits were predicted using simple measurements, but with $R^2$ ranging from 0.53 to 0.93.

• 한국시뮬레이션학회논문지
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• 제23권2호
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• pp.65-72
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• 2014

무선 센서 네트워크에서 센서 노드들은 개방된 환경에 배치되기 때문에 공격자들을 통해 쉽게 훼손된다. 공격자는 훼손된 노드를 통해 허위 보고서 및 허위 투표 주입 공격을 할 수 있다. 이러한 공격은 센서 노드의 에너지를 고갈시키거나 정상 보고서의 전송을 막는다. 이 두 가지 공격에 대응하기 위해 Li와 Wu는 확률적 투표 기반 여과 기법을 제안하였다. 이 기법은 보고서 임계값과 검증 노드를 고정적으로 사용하기 때문에 센서 노드의 에너지를 비효율적으로 사용한다. 본 논문에서는 PVFS의 에너지 향상을 위해 퍼지 로직 시스템을 기반으로 다음 이웃 노드 선택 방법을 제안한다. 퍼지 로직 시스템의 매개변수들은 에너지, 홉의 수, 검증 성공 횟수이며, CH는 퍼지 로직 시스템을 기반으로 도출된 2개의 이웃 노드 중에서 상태 정보가 높은 다음 이웃 노드를 선택한다. 실험을 통해 제안 기법은 기존 기법과 비교하여 약 9%의 에너지가 향상되었고, 센서 노드들의 에너지 절감을 통해 전체 네트워크의 수명 연장을 기대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.2140-2156
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• 2023

The Wireless Sensor Network (WSN), is constructed out of teeny-tiny sensor nodes that are very low-cost, have a low impact on the environment in terms of the amount of power they consume, and are able to successfully transmit data to the base station. The primary challenges that are presented by WSN are those that are posed by the distance between nodes, the amount of energy that is consumed, and the delay in time. The sensor node's source of power supply is a battery, and this particular battery is not capable of being recharged. In this scenario, the amount of energy that is consumed rises in direct proportion to the distance that separates the nodes. Here, we present a Hybrid Firefly Glow-Worm Swarm Optimization (HF-GSO) guided routing strategy for preserving WSNs' low power footprint. An efficient fitness function based on firefly optimization is used to select the Cluster Head (CH) in this procedure. It aids in minimising power consumption and the occurrence of dead sensor nodes. After a cluster head (CH) has been chosen, the Glow-Worm Swarm Optimization (GSO) algorithm is used to figure out the best path for sending data to the sink node. Power consumption, throughput, packet delivery ratio, and network lifetime are just some of the metrics measured and compared between the proposed method and methods that are conceptually similar to those already in use. Simulation results showed that the proposed method significantly reduced energy consumption compared to the state-of-the-art methods, while simultaneously increasing the number of functioning sensor nodes by 2.4%. Proposed method produces superior outcomes compared to alternative optimization-based methods.