• Korean Journal of Computational Design and Engineering
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• v.20 no.2
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• pp.159-170
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• 2015

Radio-Frequency Identification (RFID) or Near Field Communication (NFC) technology has many advantages over other visual interfaces since it does not require line-of-sight alignment, can identify multiple tags simultaneously, and does not destroy the integrity of original objects. In addition, smart devices such as smartphone and smartpad have NFC/RFID readers which can provide mobile and natural interactions with digital and physical contents. Augmented reality has an excellent visual interaction capability with digital contents in a real environment by embedding digital contents into the physical world. In this paper, we propose a new approach to digital content interactions using RFID/NFC-based tangible interfaces in augmented reality environments that utilize invisible interfaces in addition to marker-based visual interfaces. By combining the advantages of invisible and visual interfaces, more intuitive interactions with digital contents can be provided, which can remove the difficulty of using typical AR paddles that are widely used in AR interactions. In particular, a semantic AR ontology is defined to provide more convenient interactions. Through the semantic ontology-based inferencing, physical querying and filtering are effectively supported. We will show the effectiveness and advantage of the proposed approach by demonstrating implementation results.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.3
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• pp.1142-1166
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• 2020

Salp Swarm Algorithm (SSA) is a new nature-inspired swarm optimization algorithm that mimics the swarming behavior of salps navigating and foraging in the oceans. SSA has been proved to enable to avoid local optima and enhance convergence speed benefiting from the adaptive nonlinear mechanism and salp chains. In this paper, visual tracking is considered to be a process of locating the optimal position through the interaction between leaders and followers in successive images. A novel SSA-based tracking framework is proposed and the analysis and adjustment of parameters are discussed experimentally. Besides, the qualitative analysis and quantitative analysis are performed to demonstrate the tracking effect of our proposed approach by comparing with ten classical tracking algorithms. Extensive comparative experimental results show that our algorithm has good performance in visual tracking, especially for abrupt motion tracking.

• English Language & Literature Teaching
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• v.11 no.2
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• pp.67-89
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• 2005

Writing is a difficult skill for many people, both for children and adult alike and generally most people find it difficult to write down their thoughts effectively. Numerous studies have revealed that teachers find it frustrating to teach writing and many failed to help ESL students develop their writing ability. The theoretical emphasis on process oriented writing instruction has, in general brought about positive changes in the way writing is taught and has become widely accepted in the teaching of English as a second or foreign language (ESL/EFL). Although the interpretation and implementation of the process approach varies considerably from instructor to instructor, nevertheless, the emphasis on process writing has brought about significant and beneficial changes in teachers' orientations to writing. Despite the theoretical recognition of writing as a recursive process, many ESL/EFL classrooms continue to teach writing as a linear sequence of planning, pre-writing, writing, revising and editing and has not enhanced ESL/EFL students writing ability to the desired level. There appears to be a missing link in helping students to crystallize their thoughts before writing. Studies have shown that incorporating visual thinking tools into the process approach of ESL writing can enhance students' ability to write. This paper reports the findings of an exploratory study on the effects of using visual thinking tools in enhancing ESL students writing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.364-380
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• 2016

The most popular approach in object classification is based on the bag of visual-words model, which has several fundamental problems that restricting the performance of this method, such as low time efficiency, the synonym and polysemy of visual words, and the lack of spatial information between visual words. In view of this, an object classification based on weakly supervised E2LSH and saliency map weighting is proposed. Firstly, E2LSH (Exact Euclidean Locality Sensitive Hashing) is employed to generate a group of weakly randomized visual dictionary by clustering SIFT features of the training dataset, and the selecting process of hash functions is effectively supervised inspired by the random forest ideas to reduce the randomcity of E2LSH. Secondly, graph-based visual saliency (GBVS) algorithm is applied to detect the saliency map of different images and weight the visual words according to the saliency prior. Finally, saliency map weighted visual language model is carried out to accomplish object classification. Experimental results datasets of Pascal 2007 and Caltech-256 indicate that the distinguishability of objects is effectively improved and our method is superior to the state-of-the-art object classification methods.

• Smart Structures and Systems
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• v.22 no.2
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• pp.209-221
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• 2018

Efflorescence is a phenomenon primarily caused by a carbonation process in concrete structures. Efflorescence can cause concrete degradation in the long term; therefore, it must be accurately assessed by proper inspection. Currently, the assessment is performed on the basis of visual inspection or image-based inspection, which may result in the subjective assessment by the inspectors. In this paper, a novel approach is proposed for the objective and quantitative assessment of concrete efflorescence using hyperspectral imaging (HSI). HSI acquires the full electromagnetic spectrum of light reflected from a material, which enables the identification of materials in the image on the basis of spectrum. Spectral angle mapper (SAM) that calculates the similarity of a test spectrum in the hyperspectral image to a reference spectrum is used to assess efflorescence, and the reference spectral profiles of efflorescence are obtained from theUSGS spectral library. Field tests were carried out in a real building and a bridge. For each experiment, efflorescence assessed by the proposed approach was compared with that assessed by image-based approach mimicking conventional visual inspection. Performance measures such as accuracy, precision, and recall were calculated to check the performance of the proposed approach. Performance-related issues are discussed for further enhancement of the proposed approach.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.3
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• pp.348-355
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• 2010

In spite of development in speech recognition technology, speech recognition under noisy environment is still a difficult task. To solve this problem, Researchers has been proposed different methods where they have been used visual information except audio information for visual speech recognition. However, visual information also has visual noises as well as the noises of audio information, and this visual noises cause degradation in visual speech recognition. Therefore, it is one the field of interest how to extract visual features parameter for enhancing visual speech recognition performance. In this paper, we propose a method for visual feature parameter extraction based on image-base approach for enhancing recognition performance of the HMM based visual speech recognizer. For experiments, we have constructed Audio-visual database which is consisted with 105 speackers and each speaker has uttered 62 words. We have applied histogram matching, lip folding, RASTA filtering, Liner Mask, DCT and PCA. The experimental results show that the recognition performance of our proposed method enhanced at about 21% than the baseline method.

• Journal of the Korean Society of Industry Convergence
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• v.18 no.2
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• pp.90-98
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• 2015

This research propose with image-based visual a new approach to design a feedback control of mobile robot. because mobile robot must be recharged periodically, it is necessary to detect and move to docking station. Generally, laser scanner is used for detect of position of docking station. CCD Camera is also used for this purpose. In case of using camera, the position-based visual servoing method is widely used. But position-based visual servoing method requires the accurate calibration and it is hard and complex work. Another method using cameras is inmage-based visual feedback. Recently, image based visual feedback is widely used for robotic application. But it has a problem that cannot have linear trajectory in the 3-dimensional space. Because of this weak point, image-based visual servoing has a limit for real application. in case of 2-dimensional movement on the plane, it has also similar problem. In order to solve this problem, we point out the main reason of the problem of the resolved rate control method that has been generally used in the image-based visual servoing and we propose an image-based visual feedback method that can reduce the curved trajectory of mobile robot in th cartesian space.

• Journal of Korean Society of Rural Planning
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• v.13 no.3
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• pp.23-32
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• 2007

In Korea, a regulation of visual impact evaluation on development plan in natural environment is provided at the Natural Environment Conservation Act, but it was difficult to obtained the effectiveness enough to conserve natural landscape. So, the visual impact review on development plan is introduced to the act, through the revision of the Natural Environment Conservation Act in 2005. The basic directions of visual impact review are preservation, restoration, view protection, and harmony. The items of review are as follows; (1) development alternations for the provided plan, (2) executive reduction plan of visual impacts including consideration of growth of plants, (3) deliberation process between persons or parties concerned, etc. For rapid settlement of visual impact review system, it needs that the validity, the reliability, and the objectivity should be confirmed through steady research about reasonable guidance of review.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.257-260
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• 2015

국적기의 사고 및 국내에서 발생한 사고를 분석해보면 많은 인명 피해가 발생된 사고의 유형들을 접할 수 있다. 운항중인 항공기에 특별한 결함이 없었음에도 불구하고 조종사의 잘못된 판단에 의한 사고는 선행연구들의 결과와 같이 많은 부분들을 차지하고 있다. 특히 비 정밀접근(Non Precision Approach)의 선회접근(Circling Approach) 및 시계접근(Visual Approach)절차에서 자주 발생되는 지상충돌 사례들을 과학적이고 객관적인 방법을 바탕으로 분석하여 유사사고 재발 방지를 위한 대안을 찾고자 한다. 이를 위해 조종사의 입장에서의 교육 및 절차에 관해 분석하여 비 정밀 접근 절차 수행의 기준을 제언하고자 한다.

• Journal of Korean Neurosurgical Society
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• v.48 no.3
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• pp.213-218
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• 2010

Objective : Pituitary apoplexy (PA) is described as a clinical syndrome characterized by sudden headache, vomiting, visual impairment, and meningismus caused by rapid enlargement of a pituitary adenoma, We retrospectively analyzed the clinical presentation and surgical outcome in PA presenting with cranial neuropathy. Methods : Twelve cases (33%) of PA were retrospectively reviewed among 359 patients diagnosed with pituitary adenoma, The study included 6 males and 6 females, Mean age of patients was 49,0 years, with a range of 16 to 74 years, Follow-up duration ranged from 3 to 20 months, with an average of 12 months, All patients were submitted to surgery, using the transsphenoidal approach (TSA). Results : Symptoms included abrupt headache (11/12), decreased visual acuity (12/12), visual field defect (11/12), and cranial nerve palsy of the third (5/12) and sixth (2/12) Mean height of the mass was 29.0 mm (range 15-46) Duration between the ictus and operation ranged from 1 to 15 days (mean 7.0) The symptom duration before operation and the recovery period of cranial neuropathy correlated significantly (p = 0.0286) TSA resulted in improvement of decreased visual acuity in 91.6%, visual field defect in 54.5%, and cranial neuropathy in 100% at 3 months after surgery. Conclusion : PA is a rare event, complicating 3.3% in our series, Even in blindness following pituitary apoplexy cases, improvement of cranial neuropathy is possible if adequate management is initiated in time, Surgical decompression must be considered as soon as possible in cases with severe visual impairment or cranial neuropathy.