Earticle

In this paper, error performance of a communication link subjected to a non-Gaussian noise model known as symmetric alpha-stable (SS) noise and fading environment is analyzed with selection combining at the receiver. To this end, using binary phase-shift keying (BPSK), closed-form expressions of exact and asymptotic bit-error-rate (BER) are obtained. Furthermore, closed-form expressions of outage probability and -th moment are obtained. From the -th moment, the average signal-to-noise ratio (SNR) and channel quality estimation index (CQEI) are calculated. The effect of the number of antennas (L) and the fading parameters on the BER is studied for different impulsive settings. Monte-Carlo simulations are performed to validate the derived results.

This paper applies transmit antenna selection algorithms to spatial-temporal combining-based spatial multiplexing (SM) ultra-wideband (UWB) systems. The employed criterion is based on the largest minimum output signal-to-noise ratio of the multiplexed streams. It is shown via simulations that the bit error rate (BER) performance of the SM UWB systems based on the two-dimensional Rake receiver is significantly improved by antenna diversity through transmit antenna selection on a log-normal multipath fading channel. When the transmit antenna diversity through antenna selection is exploited in the SM UWB systems, the BER performance of the spatial-temporal combining-based zero-forcing (ZF) receiver is also compared with that of the ZF detector followed by the Rake receiver.

과거 10년은 웹의 발달로 인한 데이터가 폭발적으로 생성되었다. 데이터마이닝에서는 대용량의 데이터에서 무의미 한 데이터를 구분하고 가치 있는 데이터를 추출하는 단계가 중요한 부분을 차지한다. 본 연구는 감성분석을 위한 재표현 방법과 속성선택 방법을 적용한 오피니언 마이닝 모델을 제안한다. 본 연구에서 사용한 재표현 방법은 백 오즈 워즈 (Bag-of-words)와 Word embedding to vector(Word2vec)이다. 속성선택(Feature selection) 방법은 상관관계 기반 속성선 택(Correlation based feature selection), 정보획득 속성선택(Information gain)을 사용했다. 본 연구에서 사용한 분류기는 로 지스틱 회귀분석(Logistic regression), 인공신경망(Neural network), 나이브 베이지안 네트워크(naive Bayesian network), 랜덤포레스트(Random forest), 랜덤서브스페이스(Random subspace), 스태킹(Stacking)이다. 실증분석 결과, electronics, kitchen 데이터 셋에서는 백 오즈 워즈의 정보획득 속성선택의 로지스틱 회귀분석과 스태킹이 높은 성능을 나타냄을 확인했 다. laptop, restaurant 데이터 셋은 Word2vec의 정보획득 속성선택을 적용한 랜덤포레스트가 가장 높은 성능을 나타내는 조합이라는 것을 확인했다. 다음과 같은 결과는 오피니언 마이닝 모델 구축에 있어서 모델의 성능을 향상시킬 수 있음을 나타낸다.

Over the past decade, the development of the Web explosively increased the data. Feature selection step is an important step in extracting valuable data from a large amount of data. This study proposes a novel opinion mining model based on combining feature selection (FS) methods with Word embedding to vector (Word2vec) and BOW (Bag-of-words). FS methods adopted for this study are CFS (Correlation based FS) and IG (Information Gain). To select an optimal FS method, a number of classifiers ranging from LR (logistic regression), NN (neural network), NBN (naive Bayesian network) to RF (random forest), RS (random subspace), ST (stacking). Empirical results with electronics and kitchen datasets showed that LR and ST classifiers combined with IG applied to BOW features yield best performance in opinion mining. Results with laptop and restaurant datasets revealed that the RF classifier using IG applied to Word2vec features represents best performance in opinion mining.

최근 제한된 스펙트럼 대역을 더욱 효율적으로 사용할 수 있는 비직교 다중화 (Non-orthogonal multiple access)방식 이 차세대 이동통신 다중화 방식으로 주목받고 있다. 한편 스펙트럼 효율은 상황인지 무선통신으로도 높일 수 있는데, 상황인 지 무선통신 방식은 비허가 사용자가 허가사용자에게 제한된 간섭을 주는 조건으로 동일한 스펙트럼을 이용할 수 있기 때문 이다. 따라서 본 논문에서는 NOMA 시스템과 상황인지 방식을 결합하였을 때 상황인지 협동 NOMA 시스템의 성능을 분석 하였다. 협동 통신을 위한 릴레이는 근거리 사용자 중에서 선택하였으며, 원거리 사용자는 선택결합을 가정하였다. 릴레이 및 원거리 사용자의 오수신율을 closed-form으로 유도하였으며, 수치적인 결과는 Monte Carlo 시뮬레이션 결과와 잘 일치하 였다. 수치적인 해석결과 릴레이의 오수신율은 전력할당 계수에 따라서 영향을 받았으며, 주어진 조건에서 원거리 사용자의 전력할당계수가 0.86인 경우 오수신율이 가장 낮았다. 원거리 사용자의 오수신율은 주어진 상황 하에서 주파수 획득확률이 1인 경우에 비하여 0.5인 경우 1 ×10-3 의 오수신율을 유지하기 위하여 15 dB 이상의 신호 대 잡음비가 더 필요하였다. 따라 서 상황인지 릴레이의 주파수 획득확률에 따라서 원거리 사용자의 성능이 현저히 영향을 받음을 알 수 있었다.

Recently, Non-orthogonal multiple access (NOMA) has been focused for the next generation multiple access, which has more spectral efficiency under the limited spectrum bandwidth. Moreover, the spectrum efficiency can be improved by cognitive radio in which the unlicensed secondary users can access the spectrum that is used by the licensed primary user under the limited interference. Hence, we consider the combination of NOMA and cognitive radio, and derive the performance of the cognitive cooperative NOMA system. For the cooperation, a relay is selected among near users, and the selection combining is assumed at a far user. The outage probability of the selected relay and the far user is derived in closed-form, respectively. The provided numerical results are matched well with the Monte Carlo simulation. Numerical results showed that the performance of the relay is affected from the power allocation coefficient, the minimum outage probability is observed at 0.86 of the power allocation coefficient for far user under the given conditions. More than 15 dB of signal-to-noise ratio is required to meet the outage probability of 1 ×10-3 for the far user with the frequency acquisition probability of 0.5 compared to that of 1. It shows that the performance of the far user is very sensitive to the acquisition probability of the cognitive relay.

We focus on the energy detection based spectrum sensing in a cognitive radio system and provide closed-form expressions to evaluate the detection performances. Moreover, we use multiple antennas at the sensing node to exploit the spatial diversity. Besides, a generalized selection combining (GSC) scheme over independent and identically distributed (IID) and exponential correlated Rayleigh fading channels is used to improve the sensing performance especially in low signal-to-noise regimes.

Machine selection is an important step in the process of manufacturing. The selection process needs to consider some selection attributes simultaneously from a set of candidate machines. The attribute weights are important for the result of machine selection problem, but the most used AHP method has the shortcoming. Thus this paper will develop a new weighting method based on the concept of group eigenvalue method. Then the new machine selection method is proposed by combining group eigenvalue method with TOPSIS method. Two practical examples demonstrate that the proposed method has more effectiveness and feasibility.

The costs of finding and correcting software defects have been the most expensive activity in software development. The accurate prediction of defect‐prone software modules can help the software testing effort, reduce costs, and improve the software testing process by focusing on fault-prone module. Recently, static code attributes are used as defect predictors in software defect prediction research, since they are useful, generalizable, easy to use, and widely used. However, two common aspects of data quality that can affect performance of software defect prediction are class imbalance and noisy attributes. In this research, we propose the combination of particle swarm optimization and bagging technique for improving the accuracy of the software defect prediction. Particle swarm optimization is applied to deal with the feature selection, and bagging technique is employed to deal with the class imbalance problem. The proposed method is evaluated using the data sets from NASA metric data repository. Results have indicated that the proposed method makes an impressive improvement in prediction performance for most classifiers.

With the rapidly increasing number of Web services, the consumers have to choose suitable service from a wealth of web services according to the comprehensive factors. QoS is an important criteria to assess whether the consumer’s requirements are met by web service. But the QoS attributes offered by many web service suppliers are uncertain, especially the non-functional QoS attributes. In this paper, in view of the uncertain QoS attributes in the process of selecting web services, presents the method of selecting web service on basis of QFD-IFS (Quality Function Deployment- Intuitionistic Fuzzy Sets). Describe the consumer’s requirements and QoS attributes with intuitionistic fuzzy sets. Construct the QFD model transforming requirements of consumer into QoS attributes, which gives comprehensive consideration to the relations between requirements of consumer and QoS attributes, and to the impact of the correlation between the QoS attributes on the weights of QoS attributes. After the modified intuitionistic fuzzy entropy is used to obtain the entropy weights of the QoS attributes and alternatives. In the end an example show that the proposed method is feasible and effective.

본 논문에선, 스펙트럼 센싱 과정에서 서로 협력적으로 선택되고, 보고된(reporting) 채널과 감지된 채널에서 최상의 SNR을 가진 두 사용자의 협력적 스펙트럼 센싱에 대한 2차 사용자의 선택 방법에 대한 연구를 한다. 감지 결과 두 사용자는 첫 번째 사용자 신호의 동작을 검출하기 위해 결합되며, 사용자는 최상의 SNR 채널을 감지해서 기 존의 선택 기법과 제안된 방식을 비교한다. 감지 채널들을 I.I.D 레일리 페이딩 채널, 보고된(reporting) 채널은 invariant, non-identical로 가정한다. 시뮬레이션을 통해 제안한 내용을 검증한다.

This paper considers an approach of secondary user selection method in cooperative spectrum sensing, which two users with the best SNR in sensing channel and in reporting channel, respectively, are selected to cooperate with each other in the spectrum sensing. The sensing results reported by two users are then combined to detect PU signal operation. A comparison between this proposed method with conventional selection technique in which only the user having the best sensing channel SNR is selected shows that the proposed method outperforms. We make an assumption that sensing channels experience identical, independent distributed (i.i.d) Rayleigh fading and the reporting channels are invariant and non-identical. Simulation results are derived for demonstration.

This paper considers the effects of simultaneous correlated multipath fading and shadowing on the performances of a signal-to-interference ratio (SIR)-based dual-branch selection combining (SC) diversity receiver. This analysis includes the presence of cochannel interference. A generalized fading/shadowing channel model in an interference-limited correlated fading environment is modeled by generalized-K distribution. Closed-form expressions are obtained for probability density function and cumulative distribution function of the SC output SIR, as well as for the outage probability. Based on this, the influence of various fading and shadowing parameter values and the correlation level on the outage probability is examined.

We aim to improve both the energy harvesting efficiency and communication reliability of overlay networks powered by harvested energy. To this end, multiple antennas are considered to collect energy efficiently and perform reliable decoding by selecting the transmitting antenna and applying maximum-ratio combining. To further improve communication reliability, nonorthogonal multiple access (NOMA)-relied decoding is applied to the secondary receiver. For performance evaluation, exact formulas for the secondary/primary outage probability are derived in a closed form. The evaluation results show that the proposed method substantially outperforms a baseline without the NOMA-relied decoding in all the system settings. The performance of the proposed method is determined by multiple specifications and optimized by allocating the times for energy harvesting and information processing.

We propose a LLR (log-likelihood ratio) selection combining technique that reduces much of complexity. This technique chooses the most reliable branch based on the magnitude of the LLR of each branch. We show that the proposed selection combining achieves significant power gains over conventional selection combining and nearly matches the performance provided by MRC.

중국은 당이 국가와 사회 전반을 지배하는 당국가체제를 유지하고 있고, 시진핑 집권 이후 이 체제는 더욱 강화되고 있다. 명목상으로는 집단지도체제를 유지하지만, 실제로는 시진핑을 정점으로 한 권력 집중 현상이 심화하면서 집단지도체제의 기능은 약화되었다는 평가가 나온다. 다만 정치국 상무위원들로 구성된 최고 지도부는 여전히 제도적 핵심으로 존재한다. 2027년 21차 당대회를 앞두고 최고 지도부 인선이 중요한 변수로 부상하고 있다. 시진핑은 파벌 균형보다 자신의 의중과 충성도를 중시해 인사를 단행할 가능성이 크며, 기존 정치국 위원 중 단계적 승진이 이루어질 가능성이 높다. 리창의 탈락 여부와 딩쉐샹의 유임 가능성이 주목되며,‘65후’중심의 세대교체 가능성도 제기된다. 결국 차기 최고 지도부 구성의 핵심 변수는 시진핑의‘의중’이며, 이는 향후 중국의 권력 구조와 대내외 정책 방향에 영향을 미칠 것으로 전망된다.

China maintains a party-state system in which the Communist Party exercises comprehensive control over the state and society. Under Xi Jinping, this system has been further consolidated and strengthened. Although collective leadership formally remains the guiding principle of governance, the concentration of power around Xi has deepened, leading many observers to argue that the functional role of collective leadership has significantly weakened. Nevertheless, the Politburo Standing Committee, as the highest leadership body, continues to exist as the core institutional mechanism within the system. As the 21st Party Congress approaches in 2027, the composition of the top leadership has emerged as a critical variable. Xi is likely to prioritize personal trust and loyalty over factional balance in shaping appointments, with promotions expected to follow a stepwise pattern from among current Politburo members. Particular attention has focused on the likelihood that Ding Xuexiang may retain his position, alongside the possibility of a generational shift centered on officials born after 1965. Ultimately, Xi’s personal preferences will constitute the decisive factor in determining the composition of the next top leadership. The outcome will have important implications for China’s power structure and the future direction of its domestic and foreign policies.

본 논문에서는 동일한 평균 전력을 가지며 주파수 비선택적 느린 나카가미 m-분포의 페이딩을 겪는 MPSK 신호들에 대한 다수의 다이버시티 가지 중 크기가 센 두세개의 신호를 순서대로 선택하고 합성하는 일반화된 선택성 합성 기법에 대한 평균 심벌 오류 확률식을 유도한다. 오류 확률식을 유도하기 위해 순서 통계량(Order Statistics)의 개념을 적용한다. 유도 과정에서 수신 신호의 확률 밀도 함수에 대한 새로운 전개가 소개되고 있으며, 다양한 수학적 기법들을 사용한다. 기존의 선택적 합성과 최대비 함성 기법과의 성능을 비교하여 적절한 다이버시티 가짓수를 찾는다.

In this paper, a new closed form expression for the average symbol error rate(SER) of generalized selection combining(SC), whereby the two(three) signals with the two(three) largest amplitudes are combined from the original diversity branches in the channel, for MPSK signals in a frequency-nonselective slowly m-distributed Nakagami fading channel is derived. In order to analyze the error performance for a generalized SC, the Order-Statistics is applied. To derive the SER of MPSK signals with SC, the new expression of pdf is introduced and many other mathematical methods are used. Comparing the derived SER with that of MRC, we find adequate diversity branch number from total Lth-order diversity branches.

수도의 냉해는 그 재배기간에 저온이 발생되는 수도재배지역에서 중요한 생산저해요인으로 작용한다. 그러나 도작기간동안의 기상은 지역에 따라 다르기 때문에 발생되는 냉해양상 또한 다르게 나타난다. 일반적으로 냉해는 저수온에 의한 생육의 지연 및 저기온에 의한 불일발생 등으로 크게 나눌 수 있다. 본 연구는 내냉성 품종육성효율을 높이기 위한 유전정보를 얻고저 내냉성정도가 서로 다른 9개 품종의 이면교잡된 36조합 F$_1$, F$_2$, F$_3$, 상호여교배집단 및 모본집단을 공시하여 장해형내냉성에 대한 조합능력, 작물학적 형질과의 관련성을 검토하고 F$_2$집단의 선발효율을 평가하였다. 불임발생정도로서 평가된 장해형내냉성은 상가적 유전분산이 주종이었으나 비상가적 유전분산 역시 유의하게 나타났다. 일반적으로 내성성이 강한 모본인 M 101과 L201이 일반조합능력(GCA)이 높았는 반면, 약한 품종인 7703008에서 가장 낮았다. 장해형내냉성은 출수기, 간장 및 수당립수와 관계가 있었는데, 출수가 빠를수록, 간장이 클수록 그리고 수당립수가 많을수록 내냉성이 강한 경향이었으며, 특히 출수기의 영향이 가장 높았다. 비교적 내냉성이 강한 M101과 교배된 7조합에서 F$_2$개체 선발이 내냉성향상에 효과가 있었으며 이때 내냉성에 대한 평균유전력(Realized heritability)은 0.53이었고 저온불임에 대한 선발효율은 -9.4%였다.

Cold-induced sterility is a problem of rice (Oryza sativa L.) production in temperate regions and high elevation tropics. The present study was conducted to measure combining ability, determine character associations. and to evaluate effectiveness of F$_2$selection for tolerance to this type of cold injury. The F$_1$, F$_2$, F$_3$ and reciprocal backcross F$_1$ populations of a nine-parent diallel were grown at Davis, California. a relatively cool location for rice. Additive genetic variance was predominant but some non -additive genetic variance existed for cold tolerance. Good general combining ability (GCA) was generally associated with the cold tolerant parents, 'M-201', and 'L-201', and poor GCA with the most susceptible parent. 7703008. Sterility was positively correlated with late heading. negatively with mature plant height. and negatively with spikelet number. Of the three agronomic characters, heading date had the greatest influence on sterility. Selection of F$_2$'s in seven crosses involving M-101, the most cold-tolerant parent, was effective for increasing cold tolerance. Realized heritability estimates for cold tolerance averaged 0.53, and observed selection response for cold-induced sterility averaged -9.4 percentage points.

이동로봇을 위한 제어기를 개발하려는 폭넓은 연구가 진행되어 왔다. 특히, 몇몇 연구가들은 유전자 알고리즘이나 유전자 프로그래밍과 같은 진화 알고리즘을 사용하여 장애물 피하기, 포식자 피하기, 이동하는 먹이 잡기 등의 기능을 수행하는 이동로봇 제어기를 개발하였다. 이러한 연구 선상에서, 우리는 이동로봇을 제어하기 위해 셀룰라 오토마타 상에서 진화된 CAM-Brain을 적용하는 방법을 보여왔다. 그러나, 이러한 접근방법은 로봇이 복잡한 환경에서 적합한 행동을 수행하도록 만드는데 한계가 있었다. 본 논문에서는, Maes의 행동선택 방법론을 이용하여 간단한 행동을 하도록 진화된 모듈들을 결합함으로써 이러한 문제를 해결하려고 한다. 실험 결과는 이러한 접근방법이 복잡한 환경을 위한 신경망 제어기를 개발하는데 가능성이 있음을 보여주었다.

본 논문은 수중 주파수 선택적 채널에서 주파수 다이버시티의 채널 선택 판정법에 따른 선택 합성법 (selective combining)의 성능을 평가하였다. 천해 수중 음향 채널은 경계면 반사와 수온 층에 따른 음파 굴절 등의 다양한 환경요인이 결합하여 복잡한 다중경로의 특성을 가진다. 특히, 다중경로에 의한 주파수 선택성 (frequency selectivity)는 통신 채널의 에너지 변동을 발생시키고, 이로 인해 SNR (Signal to Noise Ratio)가 감소하여 통신성능이 저하된다. 본 논문에서는 다중경로의 주파수 선택성에 따른 통신성능 확보를 위해 다수의 채널을 이용하는 주파수 다이버시티 기법을 적용하였다. 각 채널은 4-FSK (Frequency Shift Keying)과 선택 합성법을 적용하였으며, 선택 합성법의 복조 채널 선택 판정을 위해 신호의 최댓값, 평균값 그리고 심벌 비교 판정 (majority decision)을 적용하여 성능을 평가하였다.

In this paper, the performance of the selective combining according to the channel selection decision method of frequency diversity is evaluated in the underwater frequency selective channel. The underwater acoustic channel in the shallow sea has a complex multipath characteristic by combining various environmental factors such as boundary surface reflection and sound wave refraction according to the water temperature layer. In particular, frequency selectivity due to multipath causes energy fluctuation in a communication channel, which reduces SNR (Signal to Noise Ratio) and deteriorates communication performance. In this paper, we applied the frequency diversity technique using multiple channels to secure the communication performance according to the frequency selectivity by multipath. For each channel, 4-FSK (Frequency Shift Keying) and selective combining were applied, the performance was evaluated by applying the maximum value, average value, and majority decision of the signal in order to decide the demodulation channel selection of the selective combining.