Earticle

Pongamia (Pongamia pinnata L.) as a source of non-edible oil, is potential tree species for biodiesel production. For several reasons, both technical and economical, the potential of P. pinnata is far from being realized. The exploitation of genetic diversity for crop improvement has been the major driving force for the exploration and ex situ/in situ conservation of plant genetic resources. However, P. pinnata improvement for high oil and seed production is not achieved because of unsystematic way of tree improvement. Performance of P. pinnata planted by Karnataka Forest Department was assessed based on yield potential by collecting 157 clones out of 264 clones established by Karnataka Forest Department research wing under different research circles/ranges. It was evident that the all the seed and pod traits were significantly different. Further, selection of superior germplasm based on oil and pod/seed parameters was achieved by application of Mahalanobis statistics and Tocher’s technique. On the basis of D2 values for all possible 253 pairs of populations the 157 genotypes were grouped into 28 clusters. The clustering pattern showed that geographical diversity is not necessarily related to genetic diversity. Cluster means indicated a wide range of variation for all the pod and seed traits. The best cluster having total oil content of more than 34.9% with 100 seed weight of above 125 g viz. Cluster I, II, III, IX, XV, XIX, XXI, XXIII, XXVI and XXVII were selected for clonal propagation.

셀룰라 시스템에서 D2D 유틸리티 최적화 문제를 연구하도록 한다. 구체적으로, Non-Convex 최적화 문제의 복잡도를 완화하도록 해주는 오목함수 결정규칙을 제안하고자 한다. 일반적으로, 유틸리티 함수는 신호와 간섭의 함수이며, 해법이 복잡한 Non-Convex 형태를 가진다. 본 논문에서는 간단한 해법을 찾고자 유틸리티 함수를 간섭관점에서 분석한다. 먼저 D2D 수신단에서의 간섭 레벨을 의미하는 '상대간섭'과 간섭을 주요간섭으로 간략화하는 '간섭주요화'를 수식적으로 정의한다. 정의한 간섭주요화를 바탕으로 간단한 해법의 기반이 되는 오목함수 결정규칙과 최적화 해법이 간단한 Convex Optimization 해법을 제안하도록 한다. 실험결과를 통하여 유틸리티 함수는 D2D 적용시나리오에 해당하는 수치인 상대간섭 0.1 이하에서는 오목함수임을 확인하였다. 또한, 제안하는 Convex Optimization 해법은 상대간섭 수치 0.1 이하에서 적용이 가능함을 확인하였다.

We consider the D2D utility optimization problem in the cellular system. More specifically, we develop a concave function decision rule which reduces the complexity of non-convex optimization problem. Typically, utility function, which is a function of the signal and the interference, is non-convex. In this paper, we analyze the utility function from the interference perspective. We introduce the 'relative interference' and the 'interference majorization'. The relative interference captures the level of interference at D2D receiver's perspective. The interference majorization approximates the interference by applying the major interference. Accordingly, we propose a concave function decision rule, and the corresponding convex optimization solution. Simulation results show that the utility function is concave when the relative interference is less than 0.1, which is a typical D2D usage scenario. We also show that the proposed convex optimization solution can be applied for such relative interference cases.

본 논문에서는, 지난 연구에서 제안한 D2D 전력제어 알고리즘의 성능 개선을 위하여, 채널추정 에러를 보상하는 세 가지 수정 D2D 전력제어 알고리즘을 제안한다. 또한, 제안하는 세 가지 수정 D2D 전력제어 알고리즘을 채널추정 에러 환경에서 성능평가를 진행한다. 실제 채널환경에서는 채널추정 에러가 빈번하게 발생한다. 지난 연구에서는 채널추정 에러가 없는 환경을 가정하고 제안된 D2D 전력제어 알고리즘이 채널추정 에러 환경에서 성능 문제가 있음을 확인하었다. 세 가지 수정 D2D 전력제어 알고리즘은 1)재전송, 2)신호대 간섭비 여유, 3)재전송과 신호대 간섭비 병합을 기반으로 한다. 실험 결과 재전송과 신호대 간섭비 병합기법이 채널추정 에러를 보상하는 데 소모하는 전송전력과 지연 관점에서 가장 좋은 성능을 보임을 확인하였다.

To improve the performance of D2D power control algorithm proposed in the previous work, three modified D2D power control algorithms are proposed to compensate the channel estimation error. Then, we evaluate the performance of three modified D2D power control algorithms in the channel estimation error environment. In real channel environment, the channel estimation is not perfect. To that end, the impact of imperfect channel estimation on the D2D power control algorithm, which was developed with the assumption of perfect channel estimation, has been analyzed in the previous work. Three modified D2D power control algorithms are based on 1) Retransmission, 2) SIR Margin, and 3) Retransmission and SIR Margin. Simulation results show that the Retransmission and SIR Margin approach shows best performance in the sense of the transmit power consumption and the latency.

To examine the localization pattern of phospholipase D2 (PLD2) in the pancreatic islet (the islet of Langerhans) depending on species, we conducted a morphological experiment in the rat and guinea pig. Since individual islets display a typical topography with a central core of B cell mass and a peripheral boundary of A, D, and PP cells, double immunofluorescent staining with a panel of antibodies was performed to identify PLD2-immunoreactive cells in the islets PLD2 immunoreactivity was mainly present in A and PP cells of the rat pancreatic islets. And yet, in the guinea pig, PLD2 immunoreactivity was exclusively localized in A cells, and not in PP cells. These findings suggest a possibility that PLD2 is mainly located in A cells of rodent pancreatic islets, and that the existence of PLD2 in PP cells is not universal in all species. Based on these results, it is suggested that PLD2 may play a significant role in the function of A and/or PP cells via a PLD-mediated signaling pathway.

Background: Early gastric cancer (EGC) is well accepted as having a favorable prognosis, but some patients experience an ominous outcome after curative resection. This study was aimed at evaluating predictive factors associated with prognosis of D2 gastrectomies in patients with early gastric cancer. Materials and Methods: A total of 518 patients with early gastric cancer who underwent D2 gastrectomies were reviewed in this study. The clinicopathological features and surgical outcomes were analyzed. The survival rate was estimated using the Kaplan-Meier method and compared by log rank test. Prognostic factors were analyzed using a multivariate Cox proportional hazards model. Results: The 5-year survival rate was 90.3%. Tumor infiltration, lymph node metastasis and lymphovascular invasion were significant prognostic factors for survival. Gender, age, tumor size, tumor location, macroscopic type and histological type were not significant prognostic factors. Multivariate analysis indicated that lymph node metastasis was an independent poor prognosis factor. Conclusions: Early gastric cancers with lymph node metastasis have a relatively poor prognosis after standard surgery. Even after curative resection, patients with EGC with positive lymph nodes should be closely followed and be considered as candidates for comprehensive therapies.

Background: The identification of molds in clinical laboratories is largely on the basis of phenotypic criteria, the classification of which can be subjective. Recently, molecular methods have been introduced for identification of pathogenic molds in clinical settings. Here, we employed comparative sequence analysis to identify molds. Methods: A total of 47 clinical mold isolates were used in this study, including Aspergillus and Trichophyton. All isolates were identified by phenotypic properties, such as growth rate, colony morphology, and reproductive structures. PCR and direct sequencing, targeting the internal transcribed spacer (ITS) region, the D1/D2 region of the 28S subunit, and the ß-tubulin gene, were performed using primers described previously. Comparative sequence analysis by using the GenBank database was performed with the basic local alignment search tool (BLAST) algorithm. Results: For Aspergillus, 56% and 67% of the isolates were identified to the species level by using ITS and ß-tubulin analysis, respectively. Only D1/D2 analysis was useful for Trichophyton identification, with 100% of isolates being identified to the species level. Performances of ITS and D1/D2 analyses were comparable for species-level identification of molds other than Aspergillus and Trichophyton. In contrast, the efficacy of ß-tubulin analysis was limited to genus identification because of the paucity of database information for this gene. Conclusions: The molecular methods employed in this study were valuable for mold identification, although the different loci used had variable usefulness, according to mold genus. Thus, a tailored approach is recommended when selecting amplification targets for molecular identification of molds.

Purpose: Various studies have indicated that reduced-port robotic gastrectomies are safe and feasible for treating patients with early gastric cancer. However, there have not been any comparative studies conducted that have evaluated patients with clinically advanced gastric cancer. Therefore, we aimed to compare the perioperative outcomes of D2 lymph node dissections during reduced-port robotic distal subtotal gastrectomies (RRDGs) and conventional 5-port laparoscopic distal subtotal gastrectomies (CLDGs). Materials and Methods: We retrospectively evaluated 118 patients with clinically advanced gastric cancer who underwent minimally invasive distal subtotal gastrectomies with D2 lymph node dissections between February 2016 and November 2019. To evaluate the patient data, we performed a 1:1 propensity score matching (PSM) according to age, sex, body mass index, American Society of Anesthesiologists physical status classification score, and clinical T status. The short-term surgical outcomes were also compared between the two groups. Results: The PSM identified 40 pairs of patients who underwent RRDG or CLDG. The RRDG group experienced a significantly longer operation time than the CLDG group (P<0.001), although the RRDG group had significantly less estimated blood loss (P=0.034). The number of retrieved extraperigastric lymph nodes in the RRDG group was significantly higher than that of the CLDG group (P=0.008). The rate of postoperative complications was not significantly different between the two groups (P=0.115). Conclusions: D2 lymph node dissections can be safely performed during RRDGs and the perioperative outcomes appear to be comparable to those of conventional laparoscopic surgeries. Further studies are needed to compare long-term survival outcomes.

Candida glabrata is the second most prevalent causative agent for candidiasis following C. albicans. The opportunistic yeast, C. glabrata, is able to cause the critical bloodstream infections in hospitalized patients. Conventional identification methods for yeasts are often time consuming and labor intensive. Therefore, recent studies on sequence-based identification have been conducted. Recently, sequencing the D1/D2 domain of the large subunit ribosomal RNA gene and the internal transcribed spacers (ITS) 1 and ITS2 regions of the ribosomal DNA has proven useful for DNA-based identification of most species of fungi. In the present study, therefore, fungal ITS and D1/D2 domain regions were targeted and analyzed by DNA sequencing for the accurate identification of C. glabrata clinical isolates. A total of 102 C. glabrata clinical isolates from various clinical samples including bloodstream, catheterized urine, bile and other body fluids were used in the study. The results of the DNA sequence analysis showed that the mean standard deviation of species identity percent score between ITS and D1/D2 domain regions was $97.8%{\pm}2.9$ and $99.7%{\pm}0.46$, respectively. These results revealed that the D1/D2 domain region might be a better target for identifying C. glabrata clinical isolates based on DNA sequences than the ITS1 and ITS2 regions. However, in order to evaluate the usefulness of D1/D2 domain region for species identification of all Candida species, other Candida species such as C. albicans, C. tropicalis, C. dubliniensis, and C. krusei should be verified in further studies additionally.

본 논문에서는 인지 기반 중첩 융합 네트워크 환경 하에서의 사용자의 위치정보를 토대로 사용자 단말기의 전력소모감소와 간섭신호의 저감효과를 극대화하기 위한 기본적인 D2D(device-to-device)시스템을 제시하고 무선 전송 환경에서의 시스템 성능을 분석하고자 한다. 단말기의 기능성이 좋아짐에 따라 스마트한 지능을 기반으로 자원의 효과적 활용에 적합한 개별 이종 네트워크의 특성분석과 특성을 반영하는 시스템 측면의 최적화가 중요하다고 할 수 있다. 본 논문에서는 사용자 이동특성에 기반하여 인접 단말기와의 직접 통신하는 절차를 구성하여 단말기 간 직접 통신에 다중안테나 기술을 적용할 경우 이에 따른 FER(frame error rate) 등의 성능특성을 살펴보고자 한다.

In this paper, the performances of the presented D2D (device-to-device) systems under the environment of the cognitive convergent overlay networks are evaluated based upon the locations of the D2D users' terminals, the power consumptions of the terminals and the reductions of the interference levels. As the capabilities of the users' terminals improve, the optimization of the system is crucial to the efficient utilization of the radio resources of the individual networks considering their mobility and the features of their networks. Users' mobility model is given for the performance evaluation of the D2D system. In this paper, the performances of the D2D systems are evaluated in terms of the performance index of the FER (frame error rate) employing multiantenna techniques (MIMO:multiple input multiple output) for the various network environments.

D2D 통신은 이동통신 단말 간 직접통신을 지원함으로써 단말 간 통신 성능과 무선자원의 사용효율을 향상시킬 수 있는 기술이다. 본 논문에서는 D2D 단말이 기존 이동통신망의 무선자원을 재사용하는 경우 발생할 수 있는 간섭의 영향과 그로 인한 이동통신망의 통신성능을 분석한다. 시뮬레이션을 통해 D2D 단말의 위치, 송신전력, 페어 간 거리에 따른 이동통신 및 D2D 통신의 성능변화를 확인하였으며, 해당 결과는 향후 D2D 간섭완화 관련 연구를 위한 참고자료로 활용할 수 있을 것으로 기대된다.

본 논문에서는 인접성(Proximity)과 적시성(Timeliness)의 특징을 가지고 있는 D2D 통신과 소셜 커머스 서비스가 결합된 저비용/고효율의 소셜 커머스 서비스 기반 D2D 광고 시나리오를 제안하고, D2D 통신과 소셜 커머스 서비스의 결합을 통한 광고 효과를 알아보기 위하여, 섹터의 수에 따른 광고 확산 효과(Advertisement Dissemination Effect)를 수학적으로 분석해 본다. 또한, 시뮬레이션을 통하여 정규 D2D 커버리지(Normalized D2D Coverage), 유효 범위내 광고 전달을 위한 평균 Relay 단말 수, 단위 전송 단말 당 평균 D2D 커버리지에 대해 살펴보고, 수학적 분석 결과와 시뮬레이션 결과를 비교함으로써 D2D 광고 커버리지에 대한 수학적 분석의 정확성을 알아본다.

In this paper, we propose cost-effective device-to-device (D2D) advertisement scenario with properties of proximity and timeliness through the convergence of D2D communications and social commerce service. We numerically analyze advertisement dissemination effect of the proposed scenario according to the number of sectors, and demonstrate the performance of the normalized D2D coverage, the average number of D2D users, and the average D2D coverage per user via intensive simulations. We verify the accuracy of the results for our numerical analysis compared with the simulation results.

셀룰러 네트워크에서 기지국의 과부하를 줄이고 주파수 부족 현상을 완화시킬 수 있는 D2D(Device-to-Device) 통신에 대한 연구가 활발히 진행되고 있다. 하지만 셀룰러 네트워크의 상향링크 주파수 자원을 공유함으로써 상호간의 간섭은 증가하게 된다. 본 논문에서는 셀룰러와 D2D 사이의 간섭을 줄이기 위하여 새로운 하이브리드 수신기 FSC(Full Suppression Cancellation)를 제안한다. 제안한 수신기는 IRC(Interference Rejection Combining)와 SIC(Successive Interference Cancellation)를 결합하여 간섭을 억제 및 제거 할 수 있다. 시스템 레벨 시뮬레이션은 3GPP LTE-A 시스템의 20MHz 대역을 기반으로 이루어 졌으며, 시뮬레이션 결과 제안한 수신기를 통해 기존 수신기보다 SINR, 전송률 및 스펙트럼 효율 측면에서 성능 향상을 가져다주는 것을 확인하였다.

Cellular Network assisted device-to-device (D2D) communication has been growing to reduce the overload of eNodeB and mitigate the frequency shortage. However, by sharing the uplink frequency resource with the cellular network, the interference between cellular and D2D is increased. In this paper, we propose an advanced receiver for full suppression cancellation (FSC) to reduce the interference between cellular and D2D. The proposed receiver can suppress and cancel the interference by integrating the interference rejection combining (IRC) technique with successive interference cancellation (SIC). We perform a system level simulation based on the 20-MHz bandwidth of the 3GPP LTE-A system. Simulation results show that the proposed receiver can improve SINR, throughput and spectral efficiency compared to conventional receivers.

본 논문에서는 기존 알고리즘에서의 특정 D2D 사용자 분포에 대한 광고확산 효율 저하 문제를 해결하기 위해, D2D 통신 네트워크에서 광고확산 효율을 개선하는 광고확산 알고리즘 기반의 Modified Single Linkage, K-means, 그리고 Gaussian mixture model을 적용한 Expectation Maximization 클러스터링 알고리즘의 적용이 제안되었다. 제안된 클러스터링 알고리즘들을 통해 광고 확산을 위한 목표지역들이 목표그룹으로 클러스터링되고 이를 통해 D2D 전송 단말과 수신 단말 사이의 거리를 기반으로 광고 확산 경로 설정 알고리즘과 릴레이 단말 설정 알고리즘이 적용되어 광고가 연속적으로 전파된다. 본 논문에서는 MATLAB 시뮬레이션을 통해 각 알고리즘의 최대 D2D 릴레이 제한 수와 목표지역과 비목표지역의 사용자 밀집도의 비에 따른 성능을 비교 분석한다.

In this paper, in order to resolve the problem of reduction for D2D (device to device) advertisement dissemination efficiency of conventional dissemination algorithms, we here propose several clustering algorithms (modified single linkage algorithm (MSL), K-means algorithm, and expectation maximization algorithm with Gaussian mixture model (EM)) based advertisement dissemination algorithms to improve advertisement dissemination efficiency in D2D communication networks. Target areas are clustered in several target groups by the proposed clustering algorithms. Then, D2D advertisements are consecutively distributed by using a routing algorithm based on the geographical distribution of the target areas and a relay selection algorithm based on the distance between D2D sender and D2D receiver. Via intensive MATLAB simulations, we analyze the performance excellency of the proposed algorithms with respect to maximum number of relay transmissions and D2D user density ratio in a target area and a non-target area.