• Proceedings of the KIEE Conference
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• 2003.11c
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• pp.349-352
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• 2003

A personal low-frequency stimulator is a portable device to relax muscle pains of a person. The stimulator generates combined low-frequency pulses to be applied to pads attached to painful muscles. This paper reports a development of such device with its characteristic analyses. The major components of our stimulator are MCU, high-voltage generating circuit part, high-voltage switching circuit part, input switch part and display unit. High-voltage generating circuit is designed by using a boost converter circuit and allows user control of the output voltage. High-voltage switching circuit, controlled by MCU, generates output voltage to be applied to pads. Input switch part is composed of power supply, intensity selection, mode selection and memory. Display unit adopts a text LCD module to display modes, Intensity, output frequency and user set-up time. Our designed safety circuit, to protect human body from possible electric shock, slowly increases the output voltage to the selected output intensity. It continuously checks the output pulse shape and disable the output when dangerous pulses are detected. This paper also shows some experimental results.

• International Journal of Highway Engineering
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• v.12 no.2
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• pp.33-41
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• 2010

It is stated in the highway geometric design guide that expressway interchange types should be selected considering a set of input variables including travel demand, topography, construction cost and interchange spacing. However, this selection method has a problem of providing different interchange types even for the same input variables depending upon different applications of engineers discretion. A procedure that produces consistent results is necessary and this paper presents the development of an efficient and reliable procedure based on the quantification of road user costs and construction costs on interchanges. To develop this procedure, a survey of existing expressway interchange types in South Korea was made and 10 basic interchange types and 52 supplementary interchange types were identified. To relate road user costs and construction costs to these interchange types, this research uses two method. First, interchange types were expressed by a set of ramp configurations. Second, road user benefits and construction costs associated with these different interchange types were formulated based on the current national guide of the expressway economical analysis. As a result, it was proved that an interchange type to provide minimum costs could be selected consistently and this research result should be useful for future expressway geometric designs.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.19-22
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• 2005

In order to achieve high capacity and reliable link quality in user communication, this paper proposes a new concept of virtual cell: the Dual Virtual Cell(DVC), and DVC employment strategy based on DWCS. The proposed system uses two kinds of virtual cell. One is the AVC(Active Virtual Cell) which exists for actual traffic and the other is the CVC(Candidate Virtual Cell) which contains a set of candidate antennas to protect user's link quality from performance degradation or interruption. And also this system aims to reduce MT's overloads and acheive a prompt link change successfuly by introducing DVC structure which makes it possible for network to monitor real-time channel and to conrol communication links. The proposed system constructs DVC by using antenna selection method and improves frame error performance with employing Space-Time Trellis Code(STTC).

• Proceedings of the ESK Conference
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• 1995.10a
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• pp.41-45
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• 1995

Menu-driven interfaces are frequently employed for user -system interfaces on many electronic products. Due to the space and budget constraint, a single or multi-line display is used to show menu items. Single or Multi-line display present 8 .approx. 21 characters on an LCD screen and users select items using a series of button pushes. Multi-line displays are different from the single-line ones in the following aspects. First, they can present multiple menu items at the same time. Second, they can present menu items in a various way, for example, same-depth presentation, sub-depth presentation, previous selection, etc. In this study, a human factors experiment is being conducted to examine the effects of three independent variables on the design of a multi-line display. Factors investigated include menu structure, number of lines on the display, item presentation methodl. Usability of the multi-line display is being measured quantitatively in terms of four different aspects: task completion time, accuracy, inefficiency, user preference. A set of design guidelines will be drawn from this study which can be applied to usef-system interfaces of a various types of consumer products.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.7
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• pp.1916-1934
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• 2023

The phishing attack is a malicious emerging threat on the internet where the hackers try to access the user credentials such as login information or Internet banking details through pirated websites. Using that information, they get into the original website and try to modify or steal the information. The problem with traditional defense systems like firewalls is that they can only stop certain types of attacks because they rely on a fixed set of principles to do so. As a result, the model needs a client-side defense mechanism that can learn potential attack vectors to detect and prevent not only the known but also unknown types of assault. Feature selection plays a key role in machine learning by selecting only the required features by eliminating the irrelevant ones from the real-time dataset. The proposed model uses Hyperparameter Optimized Artificial Neural Networks (H-ANN) combined with a Hybrid Firefly and Grey Wolf Optimization algorithm (H-FFGWO) to detect and block phishing websites in Internet of Things(IoT) Applications. In this paper, the H-FFGWO is used for the feature selection from phishing datasets ISCX-URL, Open Phish, UCI machine-learning repository, Mendeley website dataset and Phish tank. The results showed that the proposed model had an accuracy of 98.07%, a recall of 98.04%, a precision of 98.43%, and an F1-Score of 98.24%.

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.4
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• pp.39-51
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• 2012

Purpose: Hospitals for patients and their guardians can, from the concept of healing, be removed from just gaining profits, but suggest a future-oriented direction for the hospital. Accordingly, there have been studies related to the selection of hospitals, but most were related to preference and satisfaction, and only recently did research from the concept of tradeoffs of factors for selection began to grow rapidly. Methods: From this context, this study evaluates the level of importance for factors of selecting hospitals using the analytical hierarchy process, and identifies the correlation with users, gender, age group, and outpatient features in order to identify the difference of awareness among different groups for selecting hospitals. In the factors for selection 26 factors in six categories were set through studies of preceding research, and after surveying 144 people, the following results were attained. Results: 1) The overall analysis results were found in the order of medical level, medical service, and fame, and low for facilities, which is similar to the cases of preceding studies. 2) For user analysis, it was similar between patients and guardians, but there was a slight difference in awareness among nurses, who are also medical service providers. Nurses showed relatively high level of importance in direct factors such as medical technologies and medical services, while guardians of patients showed higher importance in indirect factors such as facility environments and convenience. 3) Women showed higher assessments of importance levels in environmental factors, while men in physical factors. 4) The older the age group, the lower level importance there was on medical level, while the importance on fame reduced the further the commute to the hospital was.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.169-189
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• 2005

In order to derive a better classifier with a limited number of training examples, active teaming alternately repeats the querying stage fur category labeling and the subsequent learning stage fur rebuilding the calssifier with the newly expanded training set. To relieve the user from the burden of labeling, especially in an on-line environment, it is important to minimize the number of querying steps as well as the total number of query examples. We can derive a good classifier in a small number of querying steps by using only a small number of examples if we can select multiple of diverse, representative, and ambiguous examples to present to the user at each querying step. In this paper, we propose a cluster-based batch query selection method which can select diverse, representative, and highly ambiguous examples for efficient active learning. Experiments with various text data sets have shown that our method can derive a better classifier than other methods which only take into account the ambiguity as the criterion to select multiple query examples.

• Journal of the Korea Society of Computer and Information
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• v.18 no.1
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• pp.83-91
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• 2013

As humans perform many tasks using computers, HCI(Human-Computer Interaction) has received much attention these days. One objective of HCI research is to propose how to design more consistent systems. In order to evaluate the consistency of HCI devices from the user's perspective, several models such as TAG(Task Action Grammar), GOMS(Goals-Operators-Methods-Selection Rule), and GTN(General Transition Network) have been developed. TAG specifies actions to perform tasks in terms of rule schema. It has been verified that the less the number of rule schema is, the better users perform the tasks due to assumably higher consistency. This paper hypothesizes that the consistency of systems depends not only on the number of rule schema but also on the distances between rule schema. That is, the closer the rule schema are, the easier it is to acquire the whole set of rule schema. An experiment supported this hypothesis. Therefore, distances between rule schema should be considered as well as the number of rule schema when designing systems.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.986-1016
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• 2019

Mobile user interface pattern (MUIP) is a kind of structured representation of interaction design knowledge. Several studies have suggested that MUIPs are a proven solution for recurring mobile interface design problems. To facilitate MUIP selection, an effective clustering method is required to discover hidden knowledge of pattern data set. In this paper, we employ the semi-supervised kernel fuzzy c-means clustering (SSKFCM) method to cluster MUIP data. In order to improve the performance of clustering, clustering parameters are optimized by utilizing the global optimization capability of particle swarm optimization (PSO) algorithm. Since the PSO algorithm is easily trapped in local optima, a novel PSO algorithm is presented in this paper. It combines an improved intuitionistic fuzzy entropy measure and a new population search strategy to enhance the population search capability and accelerate the convergence speed. Experimental results show the effectiveness and superiority of the proposed clustering method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.