• 제어로봇시스템학회:학술대회논문집
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• 1993.10a
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• pp.76-81
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• 1993

This paper presents an Auto-Drive-Guidance System which provides a path to the destination with the shortest driving distance(or time), as well as service information such as the location of gas stations, hospitals, or police stations. This system displays on the monitor screen the best driving path to the destination, points the current car position on the map, informs the driver of current position by voice whenever the car passes well-known places, or displays the map the driver wishes to view. With this system, driving becomes more comfortable, and traffic jams will be greatly reduced. As a result, gasoline consumption will be reduced and so air pollution. The system can also be applied to such areas as communication network, geographic map, and tour information.

• International Journal of Advanced Culture Technology
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• v.6 no.1
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• pp.50-59
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• 2018

Generally, disabled people have a lot of bad health status at low income levels, the need for health care is higher than for non-disabled people. Although the number of persons with disabilities is increasing with each passing year, their medical services and support are still limited and limited. This problem is not so different from approach to medical information. Conventional medical information is usually printed and transmitted to the patient, but visually impaired people have difficulty accessing such printed information. In the case of the visually impaired, there are many cases where it is not possible to read not only the printed letter but also the braille because the acquired incidence is high. Therefore, this paper tried to solve this problem by transmitting the information of medicine by voice using RFID. In addition, ontology was used to select more accurate drug information. Currently, there are drug information sites provided by the Ministry of Health and Welfare. However, since duplicate information is scattered on these sites, the ontology was used to build up the database.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.175-184
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• 2022

Voice over Internet Protocol (VoIP) has grown in popularity as a low-cost, flexible alternative to the classic public switched telephone network (PSTN) that offers advanced digital features. However, additional security vulnerabilities are introduced by the VoIP system's flexibility and the convergence of voice and data networks. These additional challenges add to the normal security challenges that a VoIP system's underlying IP data network infrastructure confront. As a result, the VoIP network adds to the complexity of the security assurance task faced by businesses that use this technology. It's time to start documenting the many security risks that a VoIP infrastructure can face, as well as analyzing the difficulties and solutions that could help guide future efforts in research & development. We discuss and investigate the challenges and requirements of VoIP security in this research. Following a thorough examination of security challenges, we concentrate on VoIP system threats, which are critical for present and future VoIP deployments. Then, towards the end of this paper, some future study directions are suggested. This article intends to guide future scholars and provide them with useful guidance.

• Journal of Dental Anesthesia and Pain Medicine
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• v.22 no.4
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• pp.295-304
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• 2022

Background: The first dental experience is vital in molding a child's attitude towards dentistry and dental outcomes. The cooperation of a child during dental treatment is essential to render successful and high-quality treatment. Dental anxiety is common in children undergoing dental treatment. The success of pediatric dental treatments and patient comfort depends on controlling the levels of patient anxiety in clinical settings. This study aimed to compare the effectiveness of the recorded maternal voice and virtual cognitive tool (Roogies application) in the management of pediatric dental patients. Methods: The study was carried out with children aged of 4-7 years [n = 80, (40 male and 40 female)], without any past dental history, and were randomly allocated into two groups. After informed consent was obtained, the entire procedure was explained to the parents. Anxiety was assessed pre-, during, and post-treatment by measuring pulse rate, and recording Venham Picture Test (VPT) scores. Group A [n = 40; 20 boys and 20 girls)] was provided with a headphone that played a recorded maternal voice. Group B [n = 40; 20 boys and 20 girls)] was administered the virtual cognitive tool. After conditioning the children, oral prophylaxis was performed for both groups. A comparative evaluation was conducted for each treatment session. Results: The intra-group comparison of VPT scores and heart rate for patients assigned to the recorded maternal voice showed a statistically significant difference in dental anxiety (P-value ≤0.001). Conclusion: This study demonstrated that a reduction in dental anxiety with the help of recorded maternal voice forms an important component of non-pharmacological behavior management. Alternatively, the use of a virtual cognitive tool as an anxiety-reducing technique can also be advocated.

• Journal of the Korean Society for Marine Environment & Energy
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• v.5 no.3
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• pp.28-34
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• 2002

As the technology of Speech Recognition(SR) and Text-To-Speech(TTS) develops rapidly, voice control and guidance system is thought to be very helpful for safe navigation. But Voice Control and Guidance System(VCGS) is not yet so popularly included in Navigation Supporting System(NSS). The main reason of this is that VCGS is so complicated and user-unfriendly that navigation officers hesitate to use VCGS. Frequent errors in operating VCGS due to low rate of SR are another reason. To make VCGS more practicable for safe navigation, we design the user-friendly VCGS. Firstly, by using interviews we survey functions and procedures that navigation officers want to be included in VCGS. Secondly, to raise the rate of SR, we tun the environmental noise in bridge and to reduce the errors due to low rate of SR in operating VCGS, we design the functions of self-correction. Also we apply a user-independent SR engine so that procedures of teaming of speakers is basically not necessary. Using simulator experiments the functions and procedures of the user-friendly YCGS for safe navigation are evaluated and the results of evaluation are fed back to the design. As a result, we can design the VCGS more helpful for safe navigation. In this paper, we describe the features of the user-friendly VCGS for safe navigation and discuss the results of simulator experiments.

• Journal of Industrial Convergence
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• v.21 no.1
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• pp.43-53
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• 2023

In China, enterprises are increasingly shifting the focus of their reforms toward stimulating the development of organizational effectiveness under the guidance of the long-term planning system. Innovative ideas and constructive suggestions originating internally are likely to inject new vitality into their ongoing development, allowing them to better face new global opportunities and challenges. Therefore, this study verifies the impact of voice endorsement and outcomes for the workers in china and selected perceived organizational support as a mediator variable. Based on theoretical research, this study proposes and tests 6 key research hypotheses using structural equation modeling(SEM). Data were collected from employees in China by the survey method. The analysis results reveal that perceived organizational support plays a mediating role in the relationship between voice endorsement and the outcomes of job satisfaction, job commitment, and job performance except for job stress.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.33 no.2
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• pp.64-76
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• 2022

Praat is a useful analysis tool for linguists, engineers, doctors, speech-language pathologits, music majors, and natural scientists. Basic parameters including duration, pitch, energy and perturbation parameters such as jitter and shimmer can be easily measured and manipulated in the sound editor. When a more in-depth analysis is needed, it is recommended to understand the advanced menus of the object window and learn how to use them. Among the object window menus, vowel formant analysis, spectrum analysis, and cepstrum analysis can be cited as useful ones in the clinical field. The spectrum object can be usefully used for voice quality measurement and diagnosis of patients with voice disorders by showing the energy distribution according to frequency axis (domain). A cepstrum object is useful for speech analysis when periodicity of the sound object is not measurable. The low to high ratio obtained from the spectral object and the CPPs measured from the cepstrum object have attracted many researchers, and it has been proven that the CPPs measured in Praat are relatively excellent.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.48-54
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• 2023

Nowadays, a blind man finds it very difficult to cross the roads. They should be very vigilant with every step they take. To resolve this problem, Convolutional Neural Networks(CNN) is a best method to analyse the data and automate the model without intervention of human being. In this work, a traffic signal recognition system is designed using CNN for the visually impaired. To provide a safe walking environment, a voice message is given according to light state and timer state at that instance. The developed model consists of two phases, in the first phase the CNN model is trained to classify different images captured from traffic signals. Common Objects in Context (COCO) labelled dataset is used, which includes images of different classes like traffic lights, bicycles, cars etc. The traffic light object will be detected using this labelled dataset with help of object detection model. The CNN model detects the color of the traffic light and timer displayed on the traffic image. In the second phase, from the detected color of the light and timer value a text message is generated and sent to the text-to-speech conversion model to make voice guidance for the blind person. The developed traffic light recognition model recognizes traffic light color and countdown timer displayed on the signal for safe signal crossing. The countdown timer displayed on the signal was not considered in existing models which is very useful. The proposed model has given accurate results in different scenarios when compared to other models.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.773-777
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• 2009

In recent years, the field of synthesizing voice has been developed rapidly, and the technologies such as reading aloud an email or sound guidance of a car navigation system are used in various scenes of our life. The sound quality is monotonous like reading news. It is preferable for a text such as a novel to be read by the voice that expresses emotions wealthily. Therefore, we have been trying to develop a system reading aloud novels automatically that are expressed clear emotions comparatively such as juvenile literature. At first it is necessary to identify emotions expressed in a sentence in texts in order to make a computer read texts with an emotionally expressive voice. A method on the basis of the meaning interpretation that utilized artificial intelligence technology for a method to specify emotions of texts is thought, but it is very difficult with the current technology. Therefore, we propose a method to determine only emotion every sentence in a novel by a simpler way. This method determines the emotion of a sentence according to an emotion that words such as a verb in a Japanese verb sentence, and an adjective and an adverb in a adjective sentence, have. The emotional characteristics that these words have are prepared beforehand as a emotional words dictionary by us. The emotions used here are seven types: "joy," "sorrow," "anger," "surprise," "terror," "aversion" or "neutral."

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.320-322
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• 2021

As the world's elderly population increases, the proportion of visually impaired is also increasing, and there are still many restrictions on the use of outside activities, such as safety problems and lack of guidance information. To solve this problem, research on smart devices such as smart glasses with optical character recognition (OCR) function is being actively conducted. In this paper, we propose a system that recognizes obstacles ahead and informs information by voice, and also guides the way to the destination. Using the deep learning object recognition model Yolo, it let them to recognize the risk factors as obstacles such as stairs and Larva cones. and it also deliver the information with a voice. so you can expect that the visually impaired can do a lot of different activity even more now that system takes the visually impaired to the destination by using the directions API, voice recognition, TTS library.