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Smart antenna technology in cellular communication is an auspicious method to enhance the potential of communications networks. One of the problematic issues in smart antenna is the inaccurate detection of the arrival signal with different angles of arrival in multipath Rayleigh fading channel. In this paper, a new smart antenna signal processing method has been proposed for estimating the angle-of-arrival...
One of the most important technical problems in store-carry-forward routing is to reduce the number of message copies in networks without increasing the message delivery delay. In order to solve this problem, we focus on utility-based routing schemes, where for a message, utility of a node indicates its proximity to the destination node of the message. Utility-based routing schemes are promising when...
Many universities conduct student evaluations, with the goal of encouraging improvement in teaching. Evaluations are subjective assessments by students, and do not directly evaluate specific teaching methods or behaviors as being good or bad. Instructors therefore cannot necessarily easily relate evaluations to areas for teaching improvement. To address this issue, we proposed a teaching behavior...
We propose a measurement method for the mean speed distribution of collective motions of highly dense groups with optical flow in this paper. This measurement is fundamental for ecological investigations and mathematical modeling of collective animal behaviors, including human crowds. Our method is applicable to highly dense homogeneous groups wherein individual movements are approximately uniform...
In recent years, the serious situation of Russian population causes concerns of the government, which also attracts great attentions of researchers from all over the world. The research on Russian population can help the government to make positive policies for solving the crisis and boosting economic growth. In this paper, implicitly considering almost all factors that influence population development,...
Topical Influential User Analysis (TIUA) is an important technique in Twitter. Existing techniques neglected relationship strength between users, which is a crucial aspect for TIUA. For modeling relationship strength, interaction frequency between users has not been considered in previous works. In this paper, we firstly introduce a poisson regression-based latent variable model to estimate relationship...
In order to reduce the deviation of model set, The article researches the relationship between capital structure and corporate value based on the nonparametric method, adjusts the form of the variables in ordinary panel data model, and evaluates the optimal capital structure of the equipment manufacturing industry listed companies by using LSDV. Based on the financial data of the equipment manufacturing...
In this paper, as a part of a model for the effectiveness estimation of simulation-based acquisition (SBA), we propose a conceptual model that calculates an estimated cost for non-SBA of a system based the actual cost for SBA of the same system. The proposed model takes account of the profit gained through the use of modeling and simulation (M&S), which would be derived from considerable decrease...
This paper presents iNNE (isolation using Nearest Neighbour Ensemble), an efficient nearest neighbour-based anomaly detection method by isolation. Inne runs significantly faster than existing nearest neighbour-based methods such as Local Outlier Factor, especially in data sets having thousands of dimensions or millions of instances. This is because the proposed method has linear time complexity and...
Conventional iris recognition using a full frontal iris image has reached a very high accuracy rate. In this paper, we focus on processing off-angle iris images. Previous research has shown that it is possible to correct off-angle iris images, but knowledge of the angle was needed. Very little work has focused on iris angle estimation which can be used for angle correction. In this paper, we describe...
In Turkey, there are many exams for transition to a higher education institution. These exams are all stages of life and have a great importance in the lives of students.As the severity rating of the exam, particularly students, parents and teachers are affected and exams create anxiety for students.Examination results are very important in shaping the lives of future students. Therefore, in this...
In this paper, we demonstrate an effective method for automatic extracting clothing object from fashion photographs, an extremely challenging problem due to the non-uniform natural backgrounds, various types of apparel and different poses of human models. This method consists of three phases: (1) coarse clothing area localization by pose estimation and super pixel segmentation, (2) region-level image...
In this paper, we focus on the coloration approach and estimation of chromatic number. We propose an upper bound of a chromatic number based on the orientation algorithm described in [4]. This upper bound is improved by developing a novel coloration algorithm. Finally, we make a theoretical and empirical comparison of our bounds with Brooks's bound and Reed's conjecture [15] for class of triangle-free...
An emotion orientated intelligent interface consists of Emotion Generating Calculations (EGC) and Mental State Transition Network (MSTN). We have developed the Android EGC application software which the agent works to evaluate the feelings in the conversation. In this paper, we develop the tourist information system which can estimate the user's feelings at the sightseeing spot. The system can recommend...
A variety of experimental paradigms have been proposed in the field of Brain-Computer Interface(BCI). Among them, the P300 speller allows participators to input characters to a computer directly from their own brains. Estimating available features of P300 from raw electroen-cephalogram(EEG) is a key step of implementing P300 speller. In this paper, a novel combination of Autoregressive model and sparse...
As the sliding parameter of track is hard-to-measure when Agricultural Tracked Robot (ATR) is moving in complicated farmland environment, an estimation method for sliding parameters of ATR based on UKF is proposed. A kinematics equation and a measurement equation of ATR are deduced by kinematics principle, and then the precision position parameters of ATR is calculated. Sliding parameters which cannot...
This paper propose a method to deal with the complex nonlinear characteristics, which was caused by the uncertainty of the unknown. As the received signal strength is low in Non line-of-sight environment, the proposed algorithm can be used to process and predict the unknown nodes position by maximum likelihood estimation method. Furthermore, experimental results show that the mobile target tracking...
Metabolic flux estimation through 13C trace experiment is crucial for metabolic system to quantify the intracellular metabolic fluxes. In essence, it corresponds to a constrained optimization problem, objective function of which is non-linear and non-differentiable and exist multiple local minima making this problem a special difficulty. In this paper, we propose Quantum-behaved particle swarm optimization...
We propose a threshold configuration and holding time limitation for general telephone calls under trunk reservation control in emergency situations. Our proposed method aims to accept more general calls while required emergency calls are still accepted. With our method, the threshold is configured in consideration of the ratio of traffic intensities which are estimated in advance. Computer simulation...
The existing GNSS (Global Navigation Satellite System) has the weakness in availability and continuity for the vehicles in urban area since the number of visible satellites decreases abruptly due to large buildings and other structures. In this paper, a new method is proposed to estimate the relative lateral distance of a vehicle from surrounding buildings by a vision sensor to supplement the shortage...
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