• Journal of Gastric Cancer
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• 제21권3호
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• pp.308-318
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• 2021

Purpose: The benefits of robotic gastrectomy remain controversial. We designed this study to elucidate the advantages of a hybrid robot and laparoscopic gastrectomy over conventional laparoscopic surgery. Materials and Methods: A total of 176 patients who underwent gastrectomy for gastric cancer were included in this study. We compared 88 patients treated with hybrid robotic and laparoscopic gastrectomy (HRLG) and 88 patients who underwent conventional laparoscopic gastrectomy (CLG). In HRLG, suprapancreatic lymph node (LN) dissection was performed in a robotic setting. Clinicopathological characteristics, operative details, and short-term outcomes were analyzed for the patients. Results: The number of LNs retrieved from the suprapancreatic area was significantly greater in the HRLG group (11.27±5.46 vs. 9.17±5.19, P=0.010). C-reactive protein levels were greater in the CLG group on both postoperative day (POD) 1 (5.11±2.64 vs. 4.29±2.38, P=0.030) and POD 5 (9.86±6.51 vs. 7.75±5.17, P=0.019). In addition, the neutrophil-to-lymphocyte ratio was significantly greater in the CLG group on both POD 1 (7.44±4.72 vs. 6.16±2.91, P=0.031) and POD 5 (4.87±3.75 vs. 3.81±1.87, P=0.020). Pulmonary complications occurred only in the CLG group (4/88 [4.5%] vs. 0/88 [0%], P=0.043). Conclusions: HRLG is superior to CLG in terms of suprapancreatic LN dissection and postoperative inflammatory response.

• 대한종양외과학회지
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• 제14권2호
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• pp.128-134
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• 2018

Purpose: Previous studies have addressed the role of the hypercoagulable state in the pathogenesis of cancer progression and metastasis. In this study, we investigated the association between coagulation factors, including tissue factor (TF) expression, platelet count, and fibrinogen level, and disease recurrence in patients with non-metastatic colorectal cancer. Methods: Patients who underwent curative resection for stage II or III colorectal cancer between 2000 and 2007 were included in this study. Data from a prospectively maintained database were retrospectively reviewed. TF expression was determined by immunohistochemistry using an anti-TF monoclonal antibody. The Kaplan-Meier method was used to estimate 5-year disease-free survival. Results: TF was highly expressed in 257 of 297 patients (86.5%). TF expression was not significantly associated with the platelet counts (P=0.180) or fibrinogen level (P=0.281). The 5-year disease-free survival rate was lower in patients with high TF expression than in patients with low TF expression (72.3% vs. 83.9%, P=0.074). In Cox hazard analysis, high TF expression was an independent risk factor for tumor recurrence (hazard ratio [HR] 2.446; 95% confidence interval [CI], 1.054-5.674; P=0.037). Undifferentiated histologic type (HR, 2.911; 95% CI, 1.308-6.481; P=0.009), venous invasion (HR, 2.784; 95% CI, 1.431-5.417; P=0.003), and lymph node metastasis (HR, 2.497; 95% CI, 1.499-4.158; P<0.001), were also significantly associated with disease recurrence. Conclusion: TF expression is associated with a recurrence in patients with non-metastatic colorectal cancer. However, further studies are required to clarify the underlying mechanisms relating TF expression with oncologic outcomes and its potential role as a therapeutic target.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.2964-2985
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• 2019

Global data center IP traffic is expected to reach 20.6 zettabytes (ZB) by the end of 2021. Intra-data center networks (Intra-DCN) will account for 71.5% of the data center traffic flow and will be the largest portion of the traffic. The understanding of traffic distribution in IntraDCN is still sketchy. It causes significant amount of bandwidth to go unutilized, and creates avoidable choke points. Conventional transport protocols such as Optical Packet Switching (OPS) and Optical Burst Switching (OBS) allow a one-sided view of the traffic flow in the network. This therefore causes disjointed and uncoordinated decision-making at each node. For effective resource planning, there is the need to consider joining the distributed with centralized management which anticipates the system's needs and regulates the entire network. Methods derived from Kalman filters have proved effective in planning road networks. Considering the network available bandwidth as data transport highways, we propose an intelligent enhanced SDN concept applied to OBS architecture. A management plane (MP) is added to conventional control (CP) and data planes (DP). The MP assembles the traffic spatio-temporal parameters from ingress nodes, uses Kalman filtering prediction-based algorithm to estimate traffic demand. Prior to packets arrival at edges nodes, it regularly forwards updates of resources allocation to CPs. Simulations were done on a hybrid scheme (1+1) and on the centralized OBS. The results demonstrated that the proposition decreases the packet loss ratio. It also improves network latency and throughput-up to 84 and 51%, respectively, versus the traditional scheme.

• Journal of Gastric Cancer
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• 제19권1호
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• pp.83-91
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• 2019

Purpose: This study aimed to compare the oncologic and short-term outcomes of laparoscopic distal gastrectomy (LDG) and open distal gastrectomy (ODG) for advanced gastric cancer (AGC). Materials and Methods: From July 2006 to November 2016, 384 patients underwent distal gastrectomy for AGC. Data on short- and long-term outcomes were prospectively collected and reviewed. Propensity score matching was applied at a ratio of 1:1 to compare the LDG and ODG groups. Results: The operative times were longer for the LDG group than for the ODG group. However, the time to resumption of diet and the length of hospital stay were shorter in the LDG group than in the ODG group (4.7 vs. 5.6 days, P=0.049 and 9.6 vs. 11.5 days, P=0.035, respectively). The extent of lymph node dissection in the LDG group was more limited than in the ODG group (P=0.002), although there was no difference in the number of retrieved lymph nodes between the 2 groups. The 3-year overall survival rates were 98% and 86.9% (P=0.018), and the 3-year recurrence-free survival rates were 86.3% and 75.3% (P=0.259), respectively, in the LDG and ODG groups. Conclusions: LDG is safe and feasible for AGC, with earlier recovery after surgery and longterm oncologic outcomes comparable to those of ODG.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.404-407
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• 2014

Delay Tolerant Network (DTN)은 불안정한 네트워크 환경으로 인해 나타나는 문제들을 해결하기 위해 Store-Carry-Forward 방식의 메시지 전달을 기본으로 하는 네트워크 구조이다. 기존 네트워크와는 달리 DTN은 종단 간 연결을 보장하지 않아 긴 전송 지연, 불안정한 링크 연결성을 가진다. 이로 인해 DTN에서는 TCP/IP를 기반 한 프로토콜이 정상적으로 동작하기 어려우며, 목적지를 알 수 없는 상황에서도 메시지를 전달해야 하는 상황이 발생한다. 따라서 DTN에서 동작 가능한 라우팅 프로토콜이 요구되고 있으며 그에 따른 연구가 진행 되고 있다. 본 논문에서는 인접한 노드의 히스토리에 기록한 이동성 정보에 따라 에피데믹 알고리즘과 예측 기반 알고리즘을 사용하여 메시지를 전달할 중계 노드를 선출하는 알고리즘을 제안한다. 제안하는 알고리즘은 종단 간 연결성을 보완하고 DTN의 특성을 반영하여 목적지의 위치를 알 수 없는 상황에서의 전송률을 증가시키며 지연 시간과 오버헤드를 감소시킨다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.741-744
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• 2009

본 논문에서는 보안의 사각지대인 축산 및 농수산물 보관창고와 물류창고 등에서 도난으로 인한 피해 손실의 예방 및 보안률을 높이기 위해 적외선 센서에서 감지한 값과 양방향 무선카메라(DRC)를 통하여 얻어온 영상에 대해서 영상처리 기법을 적용하여 불법 침입자 효율적으로 감지할 수 있는 시스템을 설계 및 구현한다. 본 시스템은 적외선센서로 일정한 감지할 위치를 잡아 감지된 값 발생시에 카메라로 영상을 습득 하는데 습득된 영상을 영상처리 과정을 통하여 움직임 인자의 판별을 하는 과정을 거쳐 최종적으로 감지, 분석된 결과와 이미지정보를 보안업체 또는 보관창고의 주인의 이동단말기에 송신하여 실시간 감시 할 수 있는 영상분석기술과 저렴한 센싱장비를 이용한 감지 시스템이다.

• 한국정보통신학회논문지
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• 제23권12호
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• pp.1679-1686
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• 2019

본 논문에서는 RPL을 사용하는 사물인터넷 환경에서 노드들이 이동할 때에도 토폴로지 변경에 빠르게 적응하여 패킷 손실 문제를 해결하기 위한 방안을 제안한다. 이동성을 향상시키기 위해 모든 노드는 이웃 노드들의 이동성을 인식하고, 전체 수신 패킷과 제어메시지 수를 고려하여 이동 정도를 수치화한다. 이동 정도에 따라 DIO 타이머를 동적으로 설정하여 토폴로지 변경을 빠르게 인식하고 목적지까지의 경로를 업데이트할 수 있도록 한다. 제안 방식의 성능은 Contiki 기반 Cooja 시뮬레이터를 이용하여 다양한 이동 속도에 대해서 평가한다. 시뮬레이션 결과, 제안된 방식은 패킷 전달률이 31.03% 개선됨을 확인하여 표준 RPL보다 이동성 시나리오에 잘 대처함을 보여준다.

• International Journal of Computer Science & Network Security
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• 제22권7호
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• pp.91-102
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• 2022

With the evolution of wireless sensor network (WSN) technology, the routing policy has foremost importance in the Internet of Things (IoT). A systematic routing policy is one of the primary mechanics to make certain the precise and robust transmission of wireless sensor networks in an energy-efficient manner. In an IoT environment, WSN is utilized for controlling services concerning data like, data gathering, sensing and transmission. With the advantages of IoT potentialities, the traditional routing in a WSN are augmented with decision-making in an energy efficient manner to concur finer optimization. In this paper, we study how to combine IoT-based deep learning classifier with routing called, Kriging Regressive Deep Belief Neural Learning (KR-DBNL) to propose an efficient data packet routing to cope with scalability issues and therefore ensure robust data packet transmission. The KR-DBNL method includes four layers, namely input layer, two hidden layers and one output layer for performing data transmission between source and destination sensor node. Initially, the KR-DBNL method acquires the patient data from different location. Followed by which, the input layer transmits sensor nodes to first hidden layer where analysis of energy consumption, bandwidth consumption and light intensity are made using kriging regression function to perform classification. According to classified results, sensor nodes are classified into higher performance and lower performance sensor nodes. The higher performance sensor nodes are then transmitted to second hidden layer. Here high performance sensor nodes neighbouring sensor with higher signal strength and frequency are selected and sent to the output layer where the actual data packet transmission is performed. Experimental evaluation is carried out on factors such as energy consumption, packet delivery ratio, packet loss rate and end-to-end delay with respect to number of patient data packets and sensor nodes.

• 대한두경부종양학회지
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• 제38권1호
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• pp.17-24
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• 2022

Background/Objectives: This study analyzed the prognostic significance of clinico-pathologic factors including comprehensive nodal factors in parotid gland cancers (PGCs) patients and constructed a survival prediction model for PGCs patients using machine learning techniques. Materials & Methods: A total of 131 PGCs patients were enrolled in the study. Results: There were 19 cases (14.5%) of lymph nodes (LNs) at the lower neck level and 43 cases (32.8%) involved multiple level LNs metastases. There were 2 cases (1.5%) of metastases to the contralateral LNs. Intraparotid LNs metastasis was observed in 6 cases (4.6%) and extranodal extension (ENE) findings were observed in 35 cases (26.7%). Lymphovascular invasion (LVI) and perineural invasion findings were observed in 42 cases (32.1%) and 49 cases (37.4%), respectively. Machine learning prediction models were constructed using clinico-pathologic factors including comprehensive nodal factors and Decision Tree and Stacking model showed the highest accuracy at 74% and 70% for predicting patient's survival. Conclusion: Lower level LNs metastasis and LNR have important prognostic significance for predicting disease recurrence and survival in PGCs patients. These two factors were used as important features for constructing machine learning prediction model. Our machine learning model could predict PGCs patient's survival with a considerable level of accuracy.

• Journal of Chest Surgery
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• 제55권5호
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• pp.405-412
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• 2022

Background: Malignant pleural mesothelioma (MPM) is an aggressive pleural malignancy, and despite all multimodal treatment modalities, the 5-year overall survival rate of patients with MPM is less than 20%. In the present study, we aimed to analyze the surgical and prognostic outcomes of patients with MPM who received multimodal treatment. Methods: In this retrospective, single-center study, the records of patients who underwent surgery for MPM between January 2010 and December 2020 at our department were reviewed retrospectively. Results: Sixty-four patients were included in the study, of whom 23 (35.9%) were women and 41 (64.1%) were men. Extrapleural pneumonectomy, pleurectomy/decortication, and extended pleurectomy/decortication procedures were performed in 34.4%, 45.3%, and 20.3% of patients, respectively. The median survival of patients was 21 months, and the 5-year survival rate was 20.2%. Advanced tumor stage (hazard ratio [HR], 1.8; p=0.04), right-sided extrapleural pneumonectomy (HR, 3.1; p=0.02), lymph node metastasis (HR, 1.8; p=0.04), and incomplete multimodal therapy (HR, 1.9; p=0.03) were poor prognostic factors. There was no significant survival difference according to surgical type or histopathological subtype. Conclusion: Multimodal therapy can offer an acceptable survival rate in patients with MPM. Despite its poor reputation in the literature, the survival rate after extrapleural pneumonectomy, especially left-sided, was not as poor as might be expected.