In this paper, we consider the multidimensional zero-one knapsack problem (0-1 MKP). The objective of the problem is to find a subset of objects that yields maximum profit without violating knapsack constraints. The 0...
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In this paper, we consider the multidimensional zero-one knapsack problem (0-1 MKP). The objective of the problem is to find a subset of objects that yields maximum profit without violating knapsack constraints. The 0-1 MKP is known to be NP-hard. Due to the intractability of the problem, numerous research efforts have focused on various approximation algorithms to acquire satisfactory suboptimal solutions within a reasonable amount of computation cost. However, most realistic approaches for solving the 0-1 MKP still remain to be improved. On the basis of ant colony optimization, we therefore propose a novel constructive algorithm. The proposed algorithm, namely AST-MKP, adopts a new type of constructive graph for leading artificial ants in making decisions to select effective solution components. Moreover, we also devise a local search scheme to advance the quality of solutions obtained. The performance of the AST-MKP algorithm is demonstrated by comparing it against other existing algorithms in terms of overall profit for a set of problem instances obtained form the OR-Library. Experimental results indicate that the algorithm proposed here performs significantly better than the competitive approaches.
In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive t...
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In this paper, we discuss the hybrid capacity region of a generic multicarrier multilayer broadcast and unicast cellular system with independent channel coding over subcarriers. In particular, we analytically derive the capacity region and provide conditions to achieve its boundary. The simulation results show that the hybrid capacity regions are considerably higher than those of the traditional time division multiplexing scheme.
This paper compares two different formulations of the latency insertion method (LIM) for the analysis of circuits with dependent sources. One is the scalar LIM and the other is the amplification matrix LIM. Numerical ...
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This paper compares two different formulations of the latency insertion method (LIM) for the analysis of circuits with dependent sources. One is the scalar LIM and the other is the amplification matrix LIM. Numerical experiments demonstrate that the scalar LIM necessitates much smaller time step than the amplification matrix LIM when handling certain types of dependent sources indicating better performance of the latter technique without a sacrifice in accuracy.
Recently, the people who are under a lot of stress have increased. Too much stress may cause various physical and/or mental disorders. The final aim of our project is to develop a relaxation machine for reducing stres...
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Recently, the people who are under a lot of stress have increased. Too much stress may cause various physical and/or mental disorders. The final aim of our project is to develop a relaxation machine for reducing stress by using rocking vibration. As rocking vibration, motion of a mother's embracing and rocking of a baby is adopted. In this paper, we analyze the motion of the mother's embracing and rocking of a baby using a 3D motion capture system, and design and manufacture an excitation apparatus simulating the mother's motions. It is found from the experimental analysis that there are two types of the mother's motions. The both motions consist of linear motion and rotational motion. The excitation apparatus has two degrees-of freedom for linear and rotational motions.
Worksheet is a common tool for teachers guiding students learning a subject. This research designs an automatic worksheet generator for constructing a worksheet according to the results of student's online exam. W...
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Worksheet is a common tool for teachers guiding students learning a subject. This research designs an automatic worksheet generator for constructing a worksheet according to the results of student's online exam. We focus on the worksheet of botany observation and analyze 47 different activities in the worksheet. The relation between the worksheet activity and its cognitive ability can be used to decide what activity should be constructed based on students' test result. A simple example is demonstrated in the end of this paper.
This paper gives a solution to the problem of verifying stability of networks consisting of integral input-to state stable (iISS) subsystems. The iISS small-gain theorem developed recently has been restricted to inter...
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This paper gives a solution to the problem of verifying stability of networks consisting of integral input-to state stable (iISS) subsystems. The iISS small-gain theorem developed recently has been restricted to interconnection of two subsystems. For large-scale systems, stability criteria re lying only on gain-type information have been successful only in dealing with input-to-state stable stable (ISS) subsystems. To address the stability problem involving iISS subsystems interconnected in general structure, this paper shows how to construct Lyapunov functions of the network by means of nonlinear sum of individual Lyapunov functions of subsystems given in a dissipation formulation under an appropriate small gain condition.
As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that acces...
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As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to personal health information is limited to properly authorized individuals. In this paper, a chaos-based encryption method is proposed to secure patients' EEG data before transmission over an insecure channel. The proposed method employs a multiplexer to dynamically select between two randomly quantized bitstreams for secure key generation. This method is simulated to encrypt the EEG datasets and the statistical properties such as signal distribution, auto and cross-correlation, power spectral density and the residual deviation of the encrypted/original EEG signals are evaluated. The experimental results verify that the proposed method has high security and is suitable for the protection of sensitive EEG data.
This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input ...
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This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.
We have developed an empirical method to model bioresponse to the surfaces of biodegradable polymers in a combinatorial library using Artificial Neural Networks (ANN) in conjunction with molecular modeling and machine...
We have developed an empirical method to model bioresponse to the surfaces of biodegradable polymers in a combinatorial library using Artificial Neural Networks (ANN) in conjunction with molecular modeling and machine learning methodology. We validated the procedure by modeling human fibrinogen adsorption to 22 structurally distinct polymers. Subsequently, the method was used to model the more complicated phenomena of rat lung fibroblast and normal human fetal foreskin fibroblast proliferation in the presence of 24 and 44 different polymers, respectively. In each case, the root mean square (rms) percent error of the prediction was substantially less than the experimental variation, showing that the models can distinguish high and low performing polymers based on structure/property information. Using this method to screen candidate materials in terms of specific bioresponse prior to extensive experimental testing will greatly facilitate materials development for biomedical applications.
On average a woman dies in childbirth approximately every 90 seconds, and the majority of these deaths take place in Africa and Asia [1]. While ultrasound imaging is an effective tool for identifying maternal mortalit...
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On average a woman dies in childbirth approximately every 90 seconds, and the majority of these deaths take place in Africa and Asia [1]. While ultrasound imaging is an effective tool for identifying maternal mortality risk factors, it is nearly absent in many rural healthcare facilities in developing regions due to the high costs of both equipment and required training. To leverage existing healthcare systems commonly found in these contexts, we have focused on increasing the diagnostic capabilities of village midwives -- often central medical figures in rural and low-income communities. We have developed a low-cost, portable, easy-to-use ultrasound system designed specifically to enable local midwives to identify high-risk conditions for referral to a well-equipped health care facility. Our focus has been on designing an appropriate system for our context. Specifically, we had to: simplify our user interface, support a solitary work environment, balance cost and features, and create an integrated teaching help system. This paper describes technical, socio-technical, and socio-cultural factors, drawn from our collaboration with the University of Washington department of Radiology and our field experiences with midwives in Uganda, that have influenced our design.
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