• Journal of Convergence Society for SMB
• /
• v.4 no.1
• /
• pp.17-29
• /
• 2014

The wireless capsule endoscopy played an important role as the evolutionary medical device to solving the difficulties such as diagnosing the intestine diseases. Due to the limited size and functions, it has some drawbacks. The most obstacle thing is the disability of self-motion, it means that it cannot provide the speed problem. Hence, the characteristics of human digestion system is briefly introduced, especially the intestine, to get the information of endoscopy dynamics. Next, in order to make an abstraction of the condition, a new dynamic friction model called LuGre model is introduced and clearly analysed to get the characteristics and the usage of the model. By the consideration of parameters that are tightly related with the real situation of the capsule endoscopy. The Matlab Simulink was applied to build the model and verified by the simulation to discover the features.

• Journal of Convergence Society for SMB
• /
• v.4 no.1
• /
• pp.7-15
• /
• 2014

In this paper, we propose an efficient routing protocol to achieve an optimal route searching process of the network lifetime by balancing power consumption per node. The proposed protocols aim at finding energy-efficient paths at low protocol power. In our protocol, each intermediate node keeps power level and branch number of child nodes and it transmits the data the nearest neighbor node. Our protocol may minimize the energy consumption at each node, thus prolong the lifetime of the system regardless of the location of the sink outside or inside the cluster. In the proposed protocol for inter-cluster communication, a cluster head chooses a relay node from its adjacent cluster heads according to the node's residual energy and its distance to the base station. Simulation results show that proposed protocol successfully balances the energy consumption over the network, and achieves a remarkable network lifetime improvement as highly as 7.5%.

• Journal of Convergence for Information Technology
• /
• v.8 no.5
• /
• pp.101-106
• /
• 2018

Software are being studied to register and manage assets. And Methods for evaluating software systems have been based on subjective evaluation criteria. We propose an evaluation model for evaluating complex assets obtained from the complexity measurement of the preceding asset management system. We used scales to measure and provide logical complexity to measure the complexity of our architectural assets. And we used a method to evaluate whether it expresses attribute value of architecture asset. We have also built an evaluation model criterion for evaluating the usability of the asset data based on the ISO/IEC 25010 quality model characteristics of the SQuaRE Series. When the designers design the asset as a composite asset, the optional evaluation of the negative property that weights are assigned according to the characteristics of each asset is applied to secure the flexibility of the evaluation model.

• Journal of Convergence for Information Technology
• /
• v.10 no.10
• /
• pp.32-39
• /
• 2020

In the large-scale infrastructure of cloud environment, illegal access rights are frequently caused by sharing applications and devices, so in order to actively respond to such attacks, a strengthened access control system is required to prepare for each situation. We proposed an entity attribute-based access control(EABAC) model based on security level and relation concept. This model has enhanced access control characteristics that give integrity and confidentiality to subjects and objects, and can provide different services to the same role. It has flexibility in authority management by assigning roles and rights to contexts, which are relations and context related to services. In addition, we have shown application cases of this model in multi service environment such as university.

• Journal of Convergence for Information Technology
• /
• v.10 no.4
• /
• pp.140-150
• /
• 2020

This study was conducted to investigate the effect of job stress on oral subjective symptoms observed in office workers. A survey of office workers in the Gyeonggi-do area was conducted and data collected was analyzed using SPSS 21.0 program. The results showed that among the sub-scales of job stress, job insecurity, job demand, and positive organizational system had significant effects on dysmasesis (p<.01), gum bleeding and gum disease (p<.01), and halitosis (p<.05) as well as gum disease (p<.01), respectively. Therefore, it is considered that making an effective job stress management plan and predicting related oral subjective symptoms in office workers will help improve the oral health management of office workers and adult oral health management in general.

• Journal of Convergence for Information Technology
• /
• v.7 no.5
• /
• pp.111-116
• /
• 2017

In this paper, we propose a method to measure the complexity of assets when a software component is constructed as a basic asset, a standardized design model is acquired, and a reusable extended asset is designed based on the standardized design model. However, each asset of our proposed asset management system consists of composite assets that combine assets of two domains. So this method can not make accurate measurements. Therefore, the complexity of the overall asset can be measured by reflecting the property value of the basic asset stored under the architecture. In conclusion, it is possible to measure the composite-complexity of a composed asset that is inversely proportional to cohesion and proportional to the cumulative sum of the associated values of each asset in the asset-related design.

• Journal of Convergence for Information Technology
• /
• v.9 no.12
• /
• pp.252-263
• /
• 2019

This study attempted to apply flip-learning and to evaluate college students' awareness and academic achievements. Twenty-seven students in single-group dental hygiene were applied to the dental radiology class for four weeks. Data collection was done after the flipped-learning and collected data were analyzed using frequency, average and content analysis using SPSS 18.0. As a result, awareness of overall class was a positive response, and academic achievement evaluation was not statistically significant. It was found to be an effective educational program. However, the academic achievement evaluation was not statistically significant and it was considered that the evaluation system needs to be different according to the learning method.

• Journal of Convergence for Information Technology
• /
• v.9 no.9
• /
• pp.141-146
• /
• 2019

The aircraft noise analysis area in this study is a training airfield where various kinds of aircraft are operated. It is difficult to identify the noise analysis as a real measurement in a training airfield. In order to overcome these practical limitations and to establish appropriate noise countermeasures, a noise map is prepared using the Integrated Noise Model Version 7.0 of the aircraft noise prediction program used by the FAA. The noise of C90GT aircraft was measured while flying the takeoff route, landing route, and long route. We want to identify areas where noise damage is more than 70 WECPNL. No area exceeding the legal standard of 70 WECPNL was found in all routes.

• Journal of Convergence for Information Technology
• /
• v.11 no.7
• /
• pp.1-6
• /
• 2021

The purpose of this study is to improve the performance of the artificial neural network system for facial image analysis through the image landmark selection technique. For landmark selection, a CNN-based multi-layer ResNet model for classification of facial image age is required. From the configured ResNet model, a heat map that detects the change of the output node according to the change of the input node is extracted. By combining a plurality of extracted heat maps, facial landmarks related to age classification prediction are created. The importance of each pixel location can be analyzed through facial landmarks. In addition, by removing the pixels with low weights, a significant amount of input data can be reduced.

• Journal of Convergence for Information Technology
• /
• v.8 no.1
• /
• pp.275-280
• /
• 2018

Companies are now rapidly entering the realm of the realtime economy named 'Now Economy'. 'Now Economy' features the measurement and assessment, accelerating speed of decision making about business. According to this, companies intend to change their disposition to be able to make quick and accurate decision by gathering informations rapidly and correctly, and then by processing that. Applications of ICT can be possible to change the new decision system of companies. In this thesis, the new decision system through amalgamations of BPMS, Mobile, Cloud Service, Hadoop, BI and AI is presented. It will be able to make decision quickly and accurately by collecting all information between the most efficiently managed process and formal and informal data inside company through this, and then by combining changes with situations outside company.