• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.9
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• pp.133-140
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• 2016

The Ministry of Land, Infrastructure and Transport has introduced low-floor buses, which are convenient for passengers getting on and off the bus and for the handicapped. The standard bus model is 11 m long and uses compressed natural gas (CNG). However, this model has drawbacks in narrow rural road conditions such as those in farming and fishing villages and mountainous areas, as well as difficulty in refueling since CNG facilities are not readily available. In this study, running resistance values were obtained by coasting performance tests on actual roads using a Tata Daewoo LF-40 model with three different weight conditions: curb vehicle weight (CVW), half vehicle weight (HVW), and gross vehicle weight (GVW).The test methods include WHVC, NIER-06, and constant-speed driving at 60 km/h. These tests were used to measure the fuel economy of vehicles other than the target vehicles to obtain the combined fuel economy. The energy efficiency was highest in the case of CVW. In the WHVC mode, the fuel consumption rates of HVW and GVW were typically 3.5% and 12% higher than that of CVW, respectively. In constant-speed driving, the fuel efficiency of HVW was higher than that of CVW. Further research is required to analyze the exhaust gas data.

• Smart Media Journal
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• v.11 no.11
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• pp.17-24
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• 2022

With the spread of smart speakers based on voice recognition technology and deep learning technology, not only non-disabled people, but also the blind or physically handicapped can easily control home appliances such as lights and TVs through voice by linking home network services. This has greatly improved the quality of life. However, in the case of speech-impaired people, it is impossible to use the useful services of the smart speaker because they have inaccurate pronunciation due to articulation or speech disorders. In this paper, we propose a personalized voice classification technique for the speech-impaired to use for some of the functions provided by the smart speaker. The goal of this paper is to increase the recognition rate and accuracy of sentences spoken by speech-impaired people even with a small amount of data and a short learning time so that the service provided by the smart speaker can be actually used. In this paper, data augmentation and one cycle learning rate optimization technique were applied while fine-tuning ResNet18 model. Through an experiment, after recording 10 times for each 30 smart speaker commands, and learning within 3 minutes, the speech classification recognition rate was about 95.2%.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.200-208
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• 2022

In this study, an automatic information collection system and geographic information construction algorithm for the transportation disadvantaged using electric mobility aids are implemented using an object recognition model. Recognizes objects that the disabled person encounters while moving, and acquires coordinate information. It provides an improved route selection map compared to the existing geographic information for the disabled. Data collection consists of a total of four layers including the HW layer. It collects image information and location information, transmits them to the server, recognizes, and extracts data necessary for geographic information generation through the process of classification. A driving experiment is conducted in an actual barrier-free zone, and during this process, it is confirmed how efficiently the algorithm for collecting actual data and generating geographic information is generated.The geographic information processing performance was confirmed to be 70.92 EA/s in the first round, 70.69 EA/s in the second round, and 70.98 EA/s in the third round, with an average of 70.86 EA/s in three experiments, and it took about 4 seconds to be reflected in the actual geographic information. From the experimental results, it was confirmed that the walking weak using electric mobility aids can drive safely using new geographic information provided faster than now.

• Journal of the korean academy of Pediatric Dentistry
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• v.36 no.2
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• pp.264-269
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• 2009

Seoul National University Dental Hospital opened The Clinic for The Disabled to provide dental treatment under outpatient general anesthesia. 432 patients underwent general anesthesia for dental treatment. The informations such as the pattern of dental treatment, the reasons of general anesthesia, the characteristics of the patients were analyzed. Followings are concluded. 1. The patients below 15 years old made up 50.60%. 2. The reasons for general anesthesia included mental and physical disabilities, systemic disease, dental phobia, and so on. 3. Restorative treatment was the most common procedure with the average of 9.7 teeth treated per one patient. 4. 62(14%) patients underwent general anesthesia for dental treatment more than once. 5. The efforts for better multidisciplinary system to provide more comprehensive and effective dental treatment including periodic recall check, preventive treatment for handicapped patients are necessary.

• Korean Journal of Social Welfare
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• v.60 no.4
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• pp.157-173
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• 2008

Cultural welfare is the cultural activity provided and supported by state, a local autonomous entity, and private organizations to improve the quality of people's life. And as a basic concept as well as a premise of discussion on cultural welfare, cultural right is a social right, a right which can make cultural express, gain access to cultural activities. A statue concerning cultural activities contributed to the promotion of our people's cultural welfare interwoven with cultural right. But laws were made for the purpose of enforcing national policy and supporting regime rather than promoting fundamental human rights, and they became effective and were understood as a mere part of national government, not as perspective of their execution, security of right or realization of them. On the other hand, based on laws concerning social welfare, cultural life means human life consisting of minimum welfare system, and minimum level of life which guarantees least cultural life is becoming an objective standard. This means the standard level of cultural right, and for the handicapped cultural rights are concretely guaranteed as a right in that they will not be discriminated for their approaching to cultural activities. However, laws concerning cultural activities have limitation in that there are ambiguous concept and limitation of cultural life, and there are no concrete and active laws about cultural rights to guarantee cultural life. In a constitution and laws concerning social welfare, cultural welfare must have concrete contents about the range and the level of cultural rights. In order cultural rights to be turned into complete ones which can assert its rights, as seen in the Supreme Court, a court has to try to understand the violation of cultural rights as the violation of legal rights.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.3
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• pp.166-172
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• 2022

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.2
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• pp.119-125
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• 2023

In this study, we photograph driving obstacle objects such as crosswalks, side spheres, manholes, braille blocks, partial ramps, temporary safety barriers, stairs, and inclined curb that hinder or cause inconvenience to the movement of the vulnerable using electric mobility aids. We develop an optimal AI model that classifies photographed objects and automatically recognizes them, and implement an algorithm that can efficiently determine obstacles in front of electric mobility aids. In order to enable object detection to be AI learning with high probability, the labeling form is labeled as a polygon form when building a dataset. It was developed using a Mask R-CNN model in Detectron2 framework that can detect objects labeled in the form of polygons. Image acquisition was conducted by dividing it into two groups: the general public and the transportation weak, and image information obtained in two areas of the test bed was secured. As for the parameter setting of the Mask R-CNN learning result, it was confirmed that the model learned with IMAGES_PER_BATCH: 2, BASE_LEARNING_RATE 0.001, MAX_ITERATION: 10,000 showed the highest performance at 68.532, so that the user can quickly and accurately recognize driving risks and obstacles.

• Journal of The Korean Association For Science Education
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• v.38 no.1
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• pp.87-96
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• 2018

In this study, the trend of research and practice of science education for students with special educational needs was discussed in consideration of the aim of science education. Since the 1980s 'science for all' has been suggested as an important goal of science education and it has been pursued in the National Curriculum of Korea with differentiated teaching and learning approach. The meaning of 'science for all' should be expanded to science education for all students including minorities. However, comparing to 'normal' students, there have been relatively little researches and practices for those who need special educational supports as to meet their special talents or as to meet their special mental or physical challenges. Especially, the efforts for handicapped students or students with special educational needs (SEN) have been deficient in comparison to that of talented or gifted students. In this study the authors introduced the history and procedures of a 'Science Fair of Hope' with SEN students as an example of practice of science education for all, and then described the change among pre-service science teachers' attitudes towards disability and inclusive education, so as to discuss the practice and significance of science education for all students including SEN students.

• Korean Security Journal
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• no.46
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• pp.141-169
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• 2016

This study aims to analyze the causes of the disabled people's fear of crimes and to provide the implication to relevant policies. For this, we scrutinize how the disabled perceive the fear toward felonies and the police action. Further, we empirically tested how police action and their recognition toward it affects the fear toward crimes, on the basis of collective efficacy and victimization which is believed to have effects on people's fear of crimes. As the physically disabled are incompetent to respond to the questions, we survey 122 person with physical disability for 25 branches of Seoul Association of Person Physically Disabled. Our regression results show negative correlations between collective efficacy and fear of crimes, which is in accord with preceding researches of the non-handicapped. While indirect victimization shows positive correlations with their fear toward crime, it is ot statistically significant in conventional confidence level. Contrarily, direct victimization shows positive correlation with it, and the coefficient is different from zero in conventional level. As it is proven from preceding studies, confidence in police action and their perception toward it has negative correlations with their fear of crimes.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.7 no.1
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• pp.51-58
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• 2013

As it is changing into aging society, rehabilitation, welfare and sports industry markets are being expanded fast. Especially, the field of vital signals interface to control welfare instruments like wheelchair, rehabilitation ones like an artificial arm and leg and general electronic ones is a new technology field in the future. Also, this technology can help not only the handicapped, the old and the weak and the rehabilitation patients but also the general public in various application field. The commercial bio-signal measurement instruments and interface systems are complicated, expensive and large-scaled. So, there are a lot of limitations for using in real life with ease. this thesis proposes a wireless transmission interface system that uses EMG(electromyogram) signals and a control module to manipulate hardware systems with portable size. We have designed a hardware module that receives the EMG signals occurring at the time of wrist movement and eliminated noises with filter and amplified the signals effectively. DSP(Digital Signal Processor) chip of TMS320F2808 which was supplied from TI company was used for converting into digital signals from measured EMG signals and digital filtering. We also have used PCA(Principal Component Analysis) technique and classified into four motions which have right, left, up and down direction. This data was transmitted by wireless module in order to display at PC monitor. As a result, the developed system obtains recognition success ratio above 85% for four different motions. If the recognition ratio will be increased with more experiments. this implemented system using EMG wrist direction signals could be used to control various hardware systems.