• Journal of Advanced Navigation Technology
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• v.23 no.6
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• pp.584-588
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• 2019

Wireless body area network (WBAN) is a networking technology that enables early detection of abnormal health conditions, real-time medical monitoring, and telemedicine support systems. The internet of things (IoT) for healthcare, which has become an issue recently, is one of the most promising areas for improving the quality of human life. It must meet the high QoS requirements of the medical communication system like any other communication system. Therefore, the bit error rate (BER) threshold was chosen to accommodate the QoS requirements of the WBAN communication system. In this paper, we calculated BER performance of WBAN channel using IR-UWB PPM modulation and analyzed link budget and system margin of WBAN according to various system parameters.

• Journal of Korean Society for Quality Management
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• v.19 no.1
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• pp.115-128
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• 1991

In korea, since November 1982 these two small group actvity convension (QC circle convension and Factory Saemaul activity small group convension) has been united, many problem have been disclosed that are against the basic principle more or less. Worker's small group activity is essentially, a trouble shooting oriented voluntary small group within their working place to improve the surroundings creatively. In practice. however, many group are so typical and so impetuous of the material effect that it is worried to be inclined to outform rather than contents. Effective small group activities are presumed to be successful only with labor management cooperation on the basis of human-orient management philosophy. The small group activities are also prevalent in service sector. More derivative methods have been developed and more members are willingly participating in training programs. The small group which is basically a horizontal organization unit, promptes communication within the whole organization. In consideration of the social circumstances and traditions, the flexible model of the small group activities suitable to the corporate environment, will contribute industrial development.

• Journal of the Korean Society of Safety
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• v.20 no.4 s.72
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• pp.63-70
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• 2005

It has been used so many kinds of architectural materials and interior products in current building construction, and use of composite architectural materials is increasing with the development of chemical technology. As the green architecture has become the center of public interest, much effort is conducted in advanced countries on the LCA point of view, such as restriction of architectural materials that emitting pollution substances, developing of Non-Toxic architectural materials, and recycling of used materials, etc. with the cooperation of related organizations, material manufacture companies, and construction companies. Because the kinds of materials to be used in building constructions are so various, there might be some possibility of personal and subjective choice at the time of materials selection resulting the missing the requirements of building components and the choice of harmful materials to human. One way to resolve the material problem is to present the green architectural materials which coincide with the quality performance at service and not harmful to man and nature. At this point of view, this study aims to develop the material classification model by investigating the major labelling system about green architectural materials in both domestic and abroad and to implement an efficient material selection system by making a powerful database of environmental standard and quality basis of building requirements.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.833-852
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• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.943-957
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• 2004

The purpose of this study is to 1) understand the importance of brands, which are known as one of the key purchasing points to consumers today; 2) 10 clearly clarify the various attributes of goods well-known to consumers; 3) to research the effect of the goods attributes on brand attitude. We examined 465 consumers to understand a purchase or a shopping habit with national and non-brand. The study used SPSS 11.0 package for a data analysis. Then using varimax rotation, we employed a factor analysis to analyze the data and obtain Cronbach ${\alpha}$ value. For more specific data analysis, we conducted t-test, regression analysis, and x2 analysis. The results are as followings: 1. The goods attribute is classified into product attribute, shop attribute, and price attribute. The product attribute is divided into wearability, labeling of size and quality, aesthetic expression, brand expression-harmony, textile-suitability, manageability and product assortment. The shop attribute is into shop environment, shopping convenience, promotion, salesperson service, convenience of location, shop's reputation. The price attribute is into price reasonability, price value, price economy, and price information. 2. The product attribute is different, by national and non-brands, in wearability, labeling of size and quality, brand expression-harmony, textile-suitability, manageability. The shop attribute had a significant difference in environment of shop and its reputation, and the price attribute had one only in price economy. 3. The brand attitude was affected by wearability, aesthetic expression, shop environment, price value, and price information. 4. Also, there exists a difference by demographic variables(age, job, academic background, marriage, income level) in brand attitude. For example, national brands have its consumers with the following variables: higher education, higher income, professional job, over 20s, and married.

• Journal of Information Technology and Architecture
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• v.11 no.3
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• pp.285-310
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• 2014

Based on the network, recruitment, education services, talent testing and human resources management etc. integrated services are expanded, and efforting to raise the market share of job information site. Job information site is an alternative finding job and recruiting environment, helping job seekers to conduct self-directed researching and applying for a job online. Directly or indirectly influential factors upon value of job information site are on the rise. Not only Korea but also China has already recognized the importance of these influential factors on job information site. However, the effective rate of implementing job information site is relatively lower among Chinese job market than Korea. This study suggests that there are differences of cultural background between Korea and China, and they were at different internet infrastructure, such differences impact on different job seekers.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.2
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• pp.209-214
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• 2016

In an environment of IoT services, sensors to track things and human activities are included as an essential element and smart phone is actively used as a means of collecting and processing information from sensors. Especially, wireless communication and NFC provided by the smart phone are key technologies for exchanging information between participants of IoT service. In this paper, we propose and implement the smart attendance checking system based on BLE using a beacon for improving the quality of a university lecture by processing attendance information automatically. Proposed system uses the beacon sensor for being aware of attendance information and the smart phone for receiving and processing this information. The implemented system has the benefit to improve the lecture quality because a professor can minimize attendance checking time and spend a lot of time on the lecture.

• Korean Journal of Veterinary Service
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• v.35 no.3
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• pp.169-174
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• 2012

Japanese encephalitis virus (JEV) is one of the main causes of viral encephalitis in human and animals. For over 30 years, a live attenuated JEV vaccine strain has been used in the veterinary field, and it is required to conduct quality evaluation studies on the commercial vaccines. For the quality control of live attenuated JEV vaccine, we investigated the nucleotide sequence similarity of prME gene derived from five JEV vaccines commercially available in pigs in Korea. The Vero cells infected with JEV vaccines showed specific cytopathic effect, which was characterized by rounding and detached cells. In the phylogenetic analysis, all of the vaccine strains showed a close relationship with the original vaccine seed strain (Anyang 300) and clustered into the genotype 3. In comparison of the nucleotide and deduced amino acid sequences of prME genes with the original strain, all JEV vaccine strains showed high amino acid similarity ranging from 98.9% to 99.5%, but had several point mutations, probably due to high mutation rates of viral RNA polymerase by several virus passages. Even though the current JEV vaccine strains have been maintained and produced for a long period of time, the genetic characterization of them have been rarely changed. However, since the mid 1990's, molecular epidemiology of JEV has been changed sharply from genotype 3 to genotype 1 in Korea, further studies on new vaccine strains to genotype 1 is required for more effective prevention in the field.

• Korea Journal of Hospital Management
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• v.23 no.4
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• pp.40-52
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• 2018

The purpose of this study is to identify medical consumers' hospital selection factors in response to the rapidly changing environment of medical industry. For that purpose this study classified consumers' hospital selection factors into three categories such that human factors including expertise, reliability, empathy; system factor including, convenience, differentiation, efficiency; and facility factor including tangibility, accessibility, and location, based on the previous studies and the results of a preliminary survey of the patients of a small private hospital. The nine factors were further divided into 23 more specific attributes. Then, an online survey was conducted to measure the perceptions of the 23 attributes by the medical consumers over the age of 20. The analysis of the survey data using Kano model and Timko model indicated that 14 of the 23 attributes were classified as attractive factors, eight attributes were or classified as, one-dimensional factors, and one attribute, doctors' educational background, was classified as indifference factor. Of the 14 attractive factors, "unique and differentiated services related to medical treatment" and "distance from home to hospital" had the highest customer satisfaction coefficients. Of the eight one-dimensional factors, "kind treatment," "providing adequate explanations," "accuracy of diagnosis," and "cleanness of facilities" had the highest customer satisfaction coefficients as well as the highest dissatisfaction coefficients. The findings indicate that these six attributes are the most basic and most impactful attributes that hospitals must manage strategically to improve their service quality and attract more medical consumers to their hospitals.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.4
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• pp.1317-1341
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• 2021

Nowadays, the Internet of Things (IoT) is adopted to enable effective and smooth communication among different networks. In some specific application, the Wireless Sensor Networks (WSN) are used in IoT to gather peculiar data without the interaction of human. The WSNs are self-organizing in nature, so it mostly prefer multi-hop data forwarding. Thus to achieve better communication, a cross-layer routing strategy is preferred. In the cross-layer routing strategy, the routing processed through three layers such as transport, data link, and physical layer. Even though effective communication achieved via a cross-layer routing strategy, energy is another constraint in WSN assisted IoT. Cluster-based communication is one of the most used strategies for effectively preserving energy in WSN routing. This paper proposes a Bio-inspired cross-layer routing (BiHCLR) protocol to achieve effective and energy preserving routing in WSN assisted IoT. Initially, the deployed sensor nodes are arranged in the form of a grid as per the grid-based routing strategy. Then to enable energy preservation in BiHCLR, the fuzzy logic approach is executed to select the Cluster Head (CH) for every cell of the grid. Then a hybrid bio-inspired algorithm is used to select the routing path. The hybrid algorithm combines moth search and Salp Swarm optimization techniques. The performance of the proposed BiHCLR is evaluated based on the Quality of Service (QoS) analysis in terms of Packet loss, error bit rate, transmission delay, lifetime of network, buffer occupancy and throughput. Then these performances are validated based on comparison with conventional routing strategies like Fuzzy-rule-based Energy Efficient Clustering and Immune-Inspired Routing (FEEC-IIR), Neuro-Fuzzy- Emperor Penguin Optimization (NF-EPO), Fuzzy Reinforcement Learning-based Data Gathering (FRLDG) and Hierarchical Energy Efficient Data gathering (HEED). Ultimately the performance of the proposed BiHCLR outperforms all other conventional techniques.