Bok-Deuk Song

Bio: Bok-Deuk Song is an academic researcher. The author has contributed to research in topics: Audiometer & Client–server model. The author has an hindex of 3, co-authored 11 publications receiving 17 citations.

Development of SISI Test Software based on PC

Abstract: SISI(Short Increment Sensitivity Index) test is to identify recruitment phenomenon that is used to diagnose detailed lesion of sensory-neural hearing loss. This paper describes SISI test software implemented to personal computer(PC). This software supports two test modes, consisting of auto-mode and manual-mode, which are classified according to whether or not audiologist to lead test, thereby enabling cost effective test. In addition, it has been designed to perform automatic masking in case of necessity. And by supporting not only 1dB increment but also 2 and 5dB increment, SISI test program of this paper makes it possible to acquire more accurate test result.

Development of PC-Based Client/Server Puretone Audiometer supporting Multiple Subject Concurrently

Abstract: Current puretone audiometer takes an operation model, so called face-to-face model, in which model an audiometrist assesses only one subject at a time. Such model results in high cost and long waiting time when there exist many patients. In order to solve such a disadvantage of face-to-face model, we have developed PC-based audiometer supporting client/server model, in which model one audiometrist is able to measure several subjects concurrently. This model has an architecture like that several PCs for subjects are connected to an audiometrist`s PC through LAN and each assessment process of subjects are displayed onto audiometrist`s monitor in real time. And if necessary, it makes possible for audometrist to adjust the assessment progress of particular subject like as a face to face model.

Development of Automatic Calibration System for PC-Based Pure Tone Audiometer

Abstract: A pure tone audiometer should be able to produce both pure tone and masking noise with exact sound pressure level and frequency. For such purpose, it is unavoidable to periodically calibrates pure tone audiometer. However, manual acoustic calibration requires not only attention but also long time. It is possible to execute automatically calibration using software if it is PC-based pure tone audiometer. In this paper, we describe auto-calibration software for PC-based pure tone audiometer and dedicated sound level meter which has been implemented upon PC by us. To verify auto-calibration module, we examine whether output of PC-based audiometer calibrated through auto-calibration of this paper satisfies RETSPL of IEC or not.

Wild Fire Monitoring System using the Image Matching

Abstract: In case of wild fire, early detection of wild fire is the most important factor in minimizing the damages. In this paper, we suggest an effective system that detects wild fire using a panoramic image from a single camera with PAN/TILT head. This enables the system to detect the size and the location of the fire in the early stages. After converting RGB image input to color YCrCb image, the differential image is used to detect changes in movement of the smoke to determine the regions which may be prone to forest fire. Histogram analysis of fire flame is used to determine the possibility of fire in the predetermined regions. In addition, image matching and SURF were used to create the panoramic image. There are many advantages in this system. First of all, it is very economical because this system needs only a single camera and a monitor. Second, it shows the live image of wide view through panoramic image. Third, this system can reduce the quantity of saved data by storing panoramic images.

Development of an Auto ABLB Test Software

Abstract: ABLB(Alternate Binaural Loudness Balance) test is one of the medical assessments to diagnose detailed lesion of sensory-neural hearing loss based on a recruitment phenomenon. This paper describes an Auto ABLB test software. This software automatically decides test frequency and intensity of first test tone. And it supports an automatic algorithm that analyses the subject`s reponses in the current step and then decides intensity of tone provided in next step. Also, this software supports an interface to control and monitor subject`s ABLB test. The assessment result is represented by a ladder diagram. The output of this software has been verified using a digital oscilloscope.

IEEE transactions on pattern analysis and machine intelligence

Abstract: In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes contain a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open question. Learning with Shared Information is an emerging topic in machine learning, computer vision and multimedia analysis. There are different level of components that can be shared during concept modeling and machine learning stages, such as sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, etc. Regarding the specific methods, multi-task learning, transfer learning and deep learning can be seen as using different strategies to share information. These learning with shared information methods are very effective in solving real-world large-scale problems. This special issue aims at gathering the recent advances in learning with shared information methods and their applications in computer vision and multimedia analysis. Both state-of-the-art works, as well as literature reviews, are welcome for submission. Papers addressing interesting real-world computer vision and multimedia applications are especially encouraged. Topics of interest include, but are not limited to: • Multi-task learning or transfer learning for large-scale computer vision and multimedia analysis • Deep learning for large-scale computer vision and multimedia analysis • Multi-modal approach for large-scale computer vision and multimedia analysis • Different sharing strategies, e.g., sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, • Real-world computer vision and multimedia applications based on learning with shared information, e.g., event detection, object recognition, object detection, action recognition, human head pose estimation, object tracking, location-based services, semantic indexing. • New datasets and metrics to evaluate the benefit of the proposed sharing ability for the specific computer vision or multimedia problem. • Survey papers regarding the topic of learning with shared information. Authors who are unsure whether their planned submission is in scope may contact the guest editors prior to the submission deadline with an abstract, in order to receive feedback.

Audiometric Calibration of Pure Tone Audiometers

Abstract: 청력검사기의 교정(audiometric calibration)은 검사 결과의 정확성과 신뢰성을 보장하고 청각장애인을 위한 서비스의 질 을 향상시킬 수 있는 필수 조건이다. 미국 직업안전위생관리국 (Occupational Safety and Health Administration, OSHA) (1996)의 청력보존프로그램 및 산업안전보건연구원(National Institute for Occupational Safety and Health, NIOSH)(1998) 에서는 청력검사기를 정기적으로 점검하도록 요구하고 있다. 국 내의 경우 고용노동부 산업재해보상보험법 시행령(대통령령 제 26196호) 별표3(개정 2014, 6. 30) “업무상 질병에 대한 구체적 인 인정 기준(제34조제3항 관련)”에서 소음성 난청은 국제표준 화기구(International Organization for Standardization, ISO) 기준으로 보정된 순음청력검사기(pure tone audiometer)를 사용 해야 한다고 규정하고 있으며, 산업통상자원부 국가기술표준원 (Korean Agency for Technology and Standards, KATS)에서는 국가표준기본법 제14조 및 동법 시행령 12조 3항의 규정에 의 거 “교정대상 및 주기 설정을 위한 지침(KOLAS-G-013-2015)” 에서 청력계(audiometers)뿐 아니라 청력검사기의 음향교정 (acoustic calibration)을 위해 사용되는 다양한 장비[예, 음압측 Audiometric Calibration of Pure Tone Audiometers