• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.11
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• pp.5304-5322
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• 2018

Since designing a feedback topology is a practical way to implement interference alignment at reduced cost of channel state information (CSI) feedback, six feedback topologies have been presented in prior works for a K-user multiple-input multiple-output interference channel. To fully reveal the potential benefits of the feedback topology in terms of the saving of CSI overhead, we propose a new feedback topology in this paper. By efficiently performing dimensionality-decreasing at the transmitter side and aligning interference signals at a subset of receivers, we show that the proposed feedback topology obtains substantial reduction of feedback cost over the existing six feedback designs under the same antenna configuration.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.29A no.4
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• pp.83-90
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• 1992

The state machine synthesizer is widely used to FSM synthesis. In this paper, we developed the state machine description language "state CHDL" such as IF, THEN, ELSE, SWITCH, CASE statements. Also, an algorithm for efficient state minimization and two level minimizer of FSM and graphical user interface-pin map window, supporting the designer with input-ouput effency, are presented.

• Journal of information and communication convergence engineering
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• v.4 no.2
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• pp.53-57
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• 2006

The objective of this paper is to propose a system by means of which the utilization of radio frequency. spectrum may be improved from the state of extreme inefficiency at the present time in Kazakhstan to a state of efficiency and equilibrium in the future.

• Transactions of the Korean Society of Automotive Engineers
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• v.20 no.3
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• pp.58-66
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• 2012

This paper describes a design and a verification of linear state observers for a motorized seat belt system to estimate state information such as angular velocity and load torque. The motorized seat belt system provides functions to protect passengers and improve passenger's convenience. To realize these functions, sensors which can measure an angular velocity and load torque are needed. By use of the linear state observer, state information can be estimated without sensors. The motorized seat belt system is analysed and represented as a state space model which contains load torque as an augmented state. By the developed state space model, a full and reduced order observer are designed and verified by experiments. The full and reduced order observer are also compared from points of view of execution time and noise robustness.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.19-26
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• 2013

To improve the reliability and quality of software system, many studies of the testing based on state-transition diagram have been in progress. Existing studies tried to solve the complexity problem of state-transition diagram. But the development of test case demands the better way to derive and manage the state diagram with low complexity. In this paper, the STMT(State-Transition Mapping Tree) is proposed to decrease the complexity of state diagram without changing or loosing the original state or transition information. Comparing with other methods, the proposed method turns out to be less complex.

• Journal of Multimedia Information System
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• v.6 no.4
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• pp.323-328
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• 2019

In this paper, a method of constructing an advanced sequential circuit over finite fields is proposed. The method proposed an algorithm for assigning all elements of finite fields to digital code from the properties of finite fields, discussed the operating characteristics of T-gate used to construct sequential digital system of finite fields, and based on this, formed sequential circuit without trajectory. For this purpose, the state transition diagram was allocated to the state dependency code and a whole table was drawn showing the relationship between the status function and the current state and the previous state. The following status functions were derived from the status function and the preceding table, and the T-gate and the device were used to construct the sequential circuit. It was confirmed that the proposed method was able to organize sequential digital systems effectively and systematically.

• Journal of the Korean Institute of Telematics and Electronics
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• v.24 no.5
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• pp.823-832
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• 1987

This pper presents a method for constructing multiple-valued logic sequential machines based on Galois field. First, we assign all elements in GF(2**m) to bit codes using mathematical properties of GF(2**m). Then, we realized the sequencial machine circuits with and withoutm feed-back. 1) Sequential machines with feed-back are constructed by using only MUX from state-transition diagram expressing the information of sequential machines. 2) Sequential machines without feed-back are constructed by following steps. First, we assigned states in state-transition disgram to state bit codes, then obtained state function and predecessor table explaining the relationship between present states and previous states. Next, we obtained next-state function from state function and predecessor table. Finally we realized the circuit using MUX and decoder.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1303-1311
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• 1999

In order to learn in dynamic environments, reinforcement learning algorithms like Q-learning, TD(0)-learning, TD(λ)-learning have been proposed. however, most of them have a drawback of very slow learning because the reinforcement value is given when they reach their goal state. In this thesis, we have proposed a reinforcement learning method that can approximate fast to the goal state in maze environments. The proposed reinforcement learning method is separated into global learning and local learning, and then it executes learning. Global learning is a learning that uses the replacing eligibility trace method to search the goal state. In local learning, it propagates the goal state value that has been searched through global learning to neighboring sates, and then searches goal state in neighboring states. we can show through experiments that the reinforcement learning method proposed in this thesis can find out an optimal solution faster than other reinforcement learning methods like Q-learning, TD(o)learning and TD(λ)-learning.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.3
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• pp.19-38
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• 2024

This study investigated the information needs of prisoners and the adequacy of information resources in prison libraries in Anambra State, Nigeria. Two research questions guided the study. The population of the study was 1781 inmates in prisons in Anambra State. The sample size of 327 was selected using Taro Yamane's formula and proportionate stratified sampling techniques. Two instruments titled the Information Needs of Prisoners Questionnaire and the Adequacy of Information Resources Checklist were used for data collection. The instruments were validated by three experienced lecturers. One in the department of Educational Foundations (Measurement and Evaluation Unit) and two in the Department of Library and Information Science, all at Nnamdi Azikiwe University, Awka. Cronbach's alpha was used to determine the internal consistency of the questionnaire items, with a value of 0.79. The researchers administered the questionnaires with the help of four research assistants (correctional officers). Out of 327 questionnaires administered, 314 were successfully retrieved. The percentage return rate of distributed questionnaires is 96%. Data collected were analyzed using descriptive statistics of the mean; also, the International Federation of Library Association (IFLA) guideline for library services to prisoners was also used as a yardstick for the measurement of adequacy. The results from the data analysis indicated that prisoners have diverse information needs that, when met, would help them during their stay in prison as well as when they are eventually released; these needs include legal information, information on prison rules, financial information, and others. While there were few information resources found to be adequate, the inadequacy of most of the listed information resources is recorded in prison libraries in Anambra State, Nigeria. It is therefore recommended that information resources be made adequately available for prisoners in relation to their information needs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.74-90
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• 2014

Routing in mobile wireless sensor networks (MWSNs) is an extremely challenging issue due to the features of MWSNs. In this paper, we present a novel bio-inspired trusted routing protocol (B-iTRP) based on artificial immune system (AIS), ant colony optimization (ACO) and Physarum optimization (PO). For trust mechanism, B-iTRP monitors neighbors' behavior in real time and then assesses neighbors' trusts based on AIS. For routing strategy, each node proactively finds routes to the Sink based on ACO. When a backward ant is on the way to return source, it senses the energy residual and trust value of each node on the discovered route, and calculates the link trust and link energy of the route. Moreover, B-iTRP also assesses the availability of route based on PO to maintain the route table. Simulation results show how B-iTRP can achieve the effective performance compared to existing state-of-the-art algorithms.