• Journal of IKEEE
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• v.7 no.2 s.13
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• pp.288-298
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• 2003

We consider a window-controlled selective-repeat ARQ scheme for error control between two adjacent nodes lying on a communication path. In this scheme, each packet to be transmitted is endowed with a serial number in a cyclic and sequential fashion. In turn, the transmitting node is not allowed to transmit a packet belonging to a window before every packet in the previous window is positively acknowledged. Such postponement of packet transmission incurs a degradation in throughput and delay performance. In this paper, aiming at improving packet delay performance, we employs a supplement scheme in which a serial number is duplicated within a frame. Classifying duplication rules into fixed, random and adaptive categories, we present candidate rules in each category and evaluate the packet delay performance induced by each duplication rule. From numerical examples, we observe that duplicating serial numbers, especially ADR-T2 effectively reduces mean packet delay for the forward channel characterized by a low packet error rate. We also reveal that such delay enhancement is achieved by a high probability of hitting local optimal window size.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.96-107
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• 2015

VANET technologies provide real-time traffic information for mitigating traffic jam and preventing traffic accidents, as well as in-vehicle infotainment service through Telematics/Intelligent Transportation System (ITS). Due to the rapid increasement of various requirements, the vehicle communication with a limited resource and the fixed frame architecture of the conventional techniques is limited to provide an efficient communication service. Therefore, a new flexible operation depending on the surrounding situation information is required that needs an adaptive design of the network architecture and protocol for efficiently predicting, distributing and sharing the context-aware information. In this paper, Vehicle-to-Infrastructure (V2I) based on communication between vehicle and a Road Side Units (RSU) and Vehicle-to-Vehicle (V2V) based on communication between vehicles are effectively combined in a new MAC architecture and V2I and V2V vehicles collaborate in management. As a result, many vehicles and RSU can use more efficiently the resource and send data rapidly. The simulation results show that the proposed method can achieve high resource utilization in accordance. Also we can find out the optimal transmission relay time and 2nd relay vehicle selection probability value to spread out V2V/V2I collaborative schedule message rapidly.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.357-364
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• 2014

The first mission for the IoT based hyper-connectivity communication is developing a device-to-device communication technique in infra-less low-power and lossy networks. In a low-power and lossy wireless network, IoT devices and routers cannot keep the original path toward the destination since they have the limited memory. Different from the previous light-weight routing protocols focusing on the reduction of the control messages, the proposed scheme provides the light-weight IPv6 address auto-configuration, IPv6 neighbor discovery and routing protocol in a IoT capable infra-less wireless networks with the bloom filer and enhanced rank concepts. And for the first time we evaluate our proposed scheme based on the modeling of various probability distributions in the IoT environments with the lossy wireless link. Specifically, the proposed enhanced RPL based light-weight routing protocol improves the robustness with the multi-paths locally established based on the enhanced rank concepts even though lossy wireless links are existed. We showed the improvements of the proposed scheme up to 40% than the RPL based protocol.

• Journal of Korea Water Resources Association
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• v.52 no.3
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• pp.219-226
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• 2019

Recently, research about Low-Impact Development (LID) techniques has been expanded due to problems with the effects of climate change and urbanization that have been increasing. LID technology is used to control flood damage environmentally to reduce runoff and is reduce runoff on city also restore into previous water circulation system from present developed city. However, studies about quantitative data of LID techniques are insufficient. Therefore in this study, the Curve Number (CN) was calculated with the Planter Box, which is storage type LID technology to conduct the water circulation (infiltration, runoff, overflow) analysis. Rainfall intensity scenario (60.4 mm/hr, 83.1 mm/hr, 97.4 mm/hr, 108.2 mm/hr) about water circulation analysis of Planter Box is selected on the basis of probable rainfall intensity table. According to the experimental results, the storage rate of rainwater in Building Planter Box and Street Planter Box was 43.5% to 52.9% and 33.4% to 39%, respectively. In addition, CN value is estimated to 83 at the Planter box and the runoff reduction effect by applying Horton's infiltration capacity curve showed on 51% to 98%.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.8
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• pp.287-300
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• 2021

Collaborative Cyber-Physical Systems (CCPS) are those systems that contain tightly coupled physical and cyber components, massively interconnected subsystems, and collaborate to achieve a common goal. The safety of a single Cyber-Physical System (CPS) can be achieved by following the safety standards such as ISO 26262 and IEC 61508 or by applying hazard analysis techniques. However, due to the complex, highly interconnected, heterogeneous, and collaborative nature of CCPS, a fault in one CPS's components can trigger many other faults in other collaborating CPSs. Therefore, a safety assurance technique based on fault criticality analysis would require to ensure safety in CCPS. This paper presents a Fault Criticality Matrix (FCM) implemented in our tool called CPSTracer, which contains several data such as identified fault, fault criticality, safety guard, etc. The proposed FCM is based on composite hazard analysis and content-based relationships among the hazard analysis artifacts, and ensures that the safety guard controls the identified faults at design time; thus, we can effectively manage and control the fault at the design phase to ensure the safe development of CPSs. To justify our approach, we introduce a case study on the Platooning system (a collaborative CPS). We perform the criticality analysis of the Platooning system using FCM in our developed tool. After the detailed fault criticality analysis, we investigate the results to check the appropriateness and effectiveness with two research questions. Also, by performing simulation for the Platooning, we showed that the rate of collision of the Platooning system without using FCM was quite high as compared to the rate of collisions of the system after analyzing the fault criticality using FCM.

• Journal of the Korea Society for Simulation
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• v.19 no.2
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• pp.73-80
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• 2010

A wireless sensor network which is deployed in hostile environment can be easily compromised by attackers. The selective forwarding attack can jam the packet or drop a sensitive packet such as the movement of the enemy on data flow path through the compromised node. Xiao, Yu and Gao proposed the checkpoint-based multi-hop acknowledgement scheme(CHEMAS). In CHEMAS, each path node enable to be the checkpoint node according to the pre-defined probability and then can detect the area where the selective forwarding attacks is generated through the checkpoint nodes. In this scheme, the number of hops is very important because this parameter may trade off between energy conservation and detection capacity. In this paper, we used the fuzzy rule system to determine adaptive threshold value which is the number of hops for the ACK packets. In every period, the base station determines threshold value while using fuzzy logic. The energy level, the number of compromised node, and the distance to each node from base station are used to determine threshold value in fuzzy logic.

• Journal of Korea Water Resources Association
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• v.40 no.9
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• pp.697-707
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• 2007

In this study, we estimated the PMP(Probable Maximum Precipitation) and its transition in case of the typhoon Rusa which happened the biggest damage of all typhoons in the Korea. Specially, we analysed the moisture maximizing rate under the consideration of meteorological condition based on the orographic property when it hits in Gangneung region. The PMP is calculated by the rate of the maximum persisting 12 hours 1000 hPa dew points and representative persisting 12 hours 1000 hPa dew point. The former is influenced by the moisture inflow regions. These regions are determined by the surface wind direction, 850 hPa moisture flux and streamline, which are the critically different aspects compared to that of previous study. The latter is calculated using statistics program (FARD2002) provided by NIDP(National Institute for Disaster Prevention). In this program, the dew point is calculated by reappearance period 50-year frequency analysis from 5% of the level of significant when probability distribution type is applied extreme type I (Gumbel distribution) and parameter estimation method is used the Moment method. So this study indicated for small basin$(3.76km^2)$ the difference the PMP through new method and through existing result of established storm transposition and DAD(Depth-Area-Duration). Consequently, the moisture maximizing rate is calculated in the moisture inflow regions determined by meteorological fields is higher $0.20{\sim}0.40$ range than that of previous study. And the precipitation is increased $16{\sim}31%$ when this rate is applied for calculation.

• Proceedings of the Korean Journal of Food and Nutrition Conference
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• 1997.06b
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• pp.8-10
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• 1997

종양은 아직 그 발생 원인과 기작이 정확히 밝혀져 있지 않으므로 정확한 정의를 내리는 것은 어려우나 일반적으로 종양이란 정상 세포가 갖고 있는 세포 분열의 특이성을 상실하여 일어나는 조직의 자율적인 과잉 성장을 말한다. 이와 같은 세포의 비정상적인 증식에 의한 종양을 임상 및 병리 형태학적으로 양서 종양과 악성종양으로 분류한다. 양성 종양을 일으키는 종양 세포는 정상 세포와 비슷할 뿐 아니라 그 주변 세포들과 확실한 경계를 이루고 있으며 증식도 느리며 다른 부위로의 전이가 없다. 이에 반해 악성종양은 일반적으로 증식도 빠르고 이형의 세포로서 주변의 조직으로 확산, 전이될 뿐만 아니라 최종적으로 숙주인 개체를 사망시킨다. 악성종양은 다시 상피 조직에서 유례한 암, 비상피 조직에서 유래된 육종, 백혈구에서 유래된 백혈병 등으로 구별하지만 그의 본질은 거의 같으며 모든 악성종양은 통속적으로 암이라고 불리운다. 종양의 발생원인으로 크게 3가지로 나눌 수 있는데 화학물질, 바이러스 및 유전적 요인에 의한 것으로 알려졌다. 최초의 발암물질로 알려진 benzopyrene에 의한 발암 등 연구에 의해 화학적 발암원들은 직접 발암 물질로 작용하는 것이 아니라, 일단 체내에서 대사된 후 이들 대사 산물일 DNA 등에 작용함으로써 발암이 유도 되는 것으로 밝혀졌다. 이와 같이 화학적 변화를 거친 후에야 DNA에 영향을 미치는 것외에 다른 화학물질들은 또 다른 기작을 통해 암을 유발하는데 쥐의 피부에 benzopyrene을 한 번 처리하면 암을 유발하지 않으나 여기에 phorbol ester를 처리하면 높은 빈도로 암이 형성된다. 여기서 benzopyrene과 같이 세포의 DNA에 돌연변이를 일으키는 작용을 하는 발암물질을 발암개시제라 하고 phorbol ester처럼 그 자체로는 발암능이 없으나 발암개시제에 노출된 세포에 영향을 미쳐 발암능을 크게 강화시켜 주는 것을 발암촉진제라고 한다. 암은 세포증식 제어계에 DNA가 이상을 일으킨 현상을 말하는 데 이와 같은 DNA의 변형된 유전정보에 의해 암과 관련된 단백질을 합성하므로 이 DNA를 암유전자라 부르며 바이러스에서 유래된 것을 V-one 그리고 세포에서 유래된 것을 c-one이라 한다. 암유전자는 본래 암을 형성하기 위한 것이 아니라 증식제어 유전자로서 변이나 비정상으로 활성화 됨으로써 암을 유발시키므로 proto-oncogene이라 부른다. 또한 고등동물의 유전자 중에는 세포성장을 억제하는 유전자들이 있으며 이들은 세포의 성장 생존 분화를 조절하는 것으로 생각되고 있다. 따라서 이들 유전자는 세포의 암변형을 억제하는 기능을 가지고 있다. 이들 유전자의 이상으로 세포성장 억제기능이 상실되면 세포의 과잉 성장이 초래되면 결과적으로 암으로 유발하는 것으로 추측되고 있다. 최근의 연구에 의하면 암세포에서 암억제 유전자의 이상과 암유전자의 활성화가 함께 발견 되면서 정상세포가 암으로 변형되는 과정에는 암억제 유전자의 이상과 암유전자의 활성화가 동시에 관여한 가능성이 높은 것으로 알려져 있다. 정상 세포가 암을 유발하기 위해서는 발암의 다단계설에서와 같이 여러 단계의 변과가 필요한데 여러 가지 요인에 의해 정상세포의 염색체가 변화되어 정상세포들이 가지고 있는 세포분열의 특이성을 상실하고 증식이 빠르고 저항력이 강한 세포가 선택 되어지고 비정상 서ㅔ포으 과잉 분여러에 의해 종양이 형성되며 이어서 혈관의 신생을 촉진하는 맥관형성, 전이 등이 과정을 거쳐 신체의 다른 부위로 전이된다. 20세기 초까지는 암은 노화와 함께 자연발생적으로 일어나는 피할 수 없는 질병으로 여겨졌으며 그 치료도 조기에 발견된 암환자에게 외과적인 치료를 하는 것이 최선의 방법 이었다. 그러나 현재에는 암환자의 80% 이상이 환경적 요인에 의해 암이 발생 된다고 믿어지고 있다. 과거 치료에 중점을 둔 것에서 점차 예방의 가능성과 그 방법의 모색에 관심을 갖게 되었으며 치료적인 면에서도 외과적 수술 이외에 방사선 치료, 항암제의 투여 등 약물요법, 면역요법의 이용 이외에 더 나아가 gene theraph 및 tumor vaccines 개발에 대한 관심도 증가되고 있다. 국제암연구협회에서는 인간에게 발암이 가능한 물질의 종류를 정기적으로 발표하고 있는데 지금까지 발암 가능성이 높다고 널리 알려진 위험요인을 크게 나누어 보면 다음과 같다. 흡연, 음주, 식이요인, 호르몬 및 기타 요인으로 약물, 자외선 등을 들 수 있는데 현재까지 이들 요인에 의한 발암 기작이 완전히 규명된 것은 아니지만 이들에 의한 발암의 확률이 높다는 것은 사실이므로 이 위험요인에 노출되는 것을 방지함으로써 암발생을 예방할 수 있을 것이다. 암발생의 예방법으로는 암발생 자체를 예방하는 것과 이미 발생한 암환자를 조기 발견하고 치료하는 방법이 있을 수 있다. 현재까지의 여러 연구 결과들을 보면 유전적인 요인을 제외한 대부분의 발암 위험인자들은 개개인의 생활습관과 밀접히 관련되어 있음을 알 수 있다. 이를 바탕으로 1992년 대한 암협회에서는 '암 예방 14개 권장 사항'을 발표하여 국민 홍보활동을 하고 있는데 그 내용의 반 이상이 식생활 습관과 관련되어 있을 정도이므로 암예방에 있어서의 식품의 역할이 매우 크다 할 수 있다. 따라서 건전한 생활습관과 더불어 적절한 식품의 섭취는 암예방을 위한 기본이 될 것이다.

• Progress in Medical Physics
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• v.27 no.1
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• pp.14-24
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• 2016

Since the head and neck region is densely located with organs at risk (OAR), OAR-sparing is an important issue in the treatment of head and neck cancers. This study-in which different treatment plans were performed varying the head tilt angle on brain tumor patients-investigates the optimal head elevation angle for sparing normal organs (e.g. the hippocampus) and further compares the dosimetric characteristics of different types of radiation equipment. we performed 3D conformal radiation therapy (3D-CRT), intensity-modulated radiation therapy (IMRT), and tomotherapy on 10 patients with brain tumors in the frontal lobe while varying the head tilt angle of patients to analyze the dosimetric characteristics of different therapy methods. In each treatment plan, 95% of the tumor volume was irradiated with a dose of 40 Gy in 10 fractions. The step and shoot technique with nine beams was used for IMRT, and the same prescription dose was delivered to the tumor volume for the 3D-CRT and tomotherapy plans. The homogeneity index, conformity index, and normal tissue complication probability (NTCP) were calculated. At a head elevation angle of $30^{\circ}$, conformity of the isodose curve to the target increased on average by 53%, 8%, and 5.4%. In 3D-CRT, the maximum dose received by the brain stem decreased at $15^{\circ}$, $30^{\circ}$, and $40^{\circ}$, compared to that observed at $0^{\circ}$. The NTCP value of the hippocampus observed in each modality was the highest at a head and neck angle of $0^{\circ}$ and the lowest at $30^{\circ}$. This study demonstrates that the elevation of the patients' head tilt angle in radiation therapy improves the target region's homogeneity of dose distribution by increasing the tumor control rate and conformity of the isodose curve to the target. Moreover, the study shows that the elevation of the head tilt angle lowers the NTCP by separating the tumor volume from the normal tissues, which helps spare OARs and reduce the delivered dose to the hippocampus.

• The KIPS Transactions:PartA
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• v.11A no.4
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• pp.243-250
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• 2004

Monitoring is used to see if a real-time system provides a service on time. Generally, monitoring for real-time focuses on investigating the current status of a real-time system. To support a stable performance of a real-time system, it should have not only a function to see the current status of real-time process but also a function to predict executions of real-time processes, however. The legacy prediction model has some limitation to apply it to a real-time monitoring. First, it performs a static prediction after a real-time process finished. Second, it needs a statistical pre-analysis before a prediction. Third, transition probability and data about clustering is not based on the current data. We propose the execution prediction model based on learning algorithm to solve these problems and apply it to real-time monitoring. This model gets rid of unnecessary pre-processing and supports a precise prediction based on current data. In addition, this supports multi-level prediction by a trend analysis of past execution data. Most of all, We designed the model to support dynamic prediction which is performed within a real-time process' execution. The results from some experiments show that the judgment accuracy is greater than 80% if the size of a training set is set to over 10, and, in the case of the multi-level prediction, that the prediction difference of the multi-level prediction is minimized if the number of execution is bigger than the size of a training set. The execution prediction model proposed in this model has some limitation that the model used the most simplest learning algorithm and that it didn't consider the multi-regional space model managing CPU, memory and I/O data. The execution prediction model based on a learning algorithm proposed in this paper is used in some areas related to real-time monitoring and control.