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A Survey of System Architectures, Privacy Preservation, and Main Research Challenges on Location-Based Services

  • Tefera, Mulugeta K.;Yang, Xiaolong;Sun, Qifu Tyler
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.6
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    • pp.3199-3218
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    • 2019
  • Location-based services (LBSs) have become popular in recent years due to the ever-increasing usage of smart mobile devices and mobile applications through networks. Although LBS application provides great benefits to mobile users, it also raises a sever privacy concern of users due to the untrusted service providers. In the lack of privacy enhancing mechanisms, most applications of the LBS may discourage the user's acceptance of location services in general, and endanger the user's privacy in particular. Therefore, it is a great interest to discuss on the recent privacy-preserving mechanisms in LBSs. Many existing location-privacy protection-mechanisms (LPPMs) make great efforts to increase the attacker's uncertainty on the user's actual whereabouts by generating a multiple of fake-locations together with user's actual positions. In this survey, we present a study and analysis of existing LPPMs and the state-of-art privacy measures in service quality aware LBS applications. We first study the general architecture of privacy qualification system for LBSs by surveying the existing framework and outlining its main feature components. We then give an overview of the basic privacy requirements to be considered in the design and evaluation of LPPMs. Furthermore, we discuss the classification and countermeasure solutions of existing LPPMs for mitigating the current LBS privacy protection challenges. These classifications include anonymization, obfuscation, and an encryption-based technique, as well as the combination of them is called a hybrid mechanism. Finally, we discuss several open issues and research challenges based on the latest progresses for on-going LBS and location privacy research.

ZMET-based Participation Motivation Analysis of Chinese Tourists's Floral Arrangement Courses Visit to Korea (ZMET을 활용한 방한 중국인 관광객의 꽃꽂이교육 관광콘텐츠 참여동기 연구)

  • Cui, Ru-Ru;Kim, Young-Jae
    • The Journal of the Korea Contents Association
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    • v.19 no.3
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    • pp.223-235
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    • 2019
  • In order to develop the marketing strategy of Korean floral arrangement courses for chinese tourists, this study aimed at gaining their participation motivation with application of the ZMET (Zaltman metaphor-elicitation technique). According to the results, 18 constructs ('a sense of accomplishment', 'Korean culture visit', 'teacher's high-quality service', 'professionalism', 'to be together', 'communication with others', 'joint pleasure', 'better than China', 'not available in China', 'healing', 'the feeling of happiness and love', 'easy access to art', 'wonderful life shot', 'beautiful interior', 'special design', 'expectation', 'close to nature', and 'nice daily-life decoration') were derived and 4 main constructs ('a sense of accomplishment', 'Korean culture visit', 'teacher's high-quality service', and 'professionalism') of the consensus map were analyzed. Therefore, the Korean floral arrangement courses for chinese tourists should open an adjustable level of difficulty of curriculum, offer an opportunity to experience other Korean culture and increase florist's abilities from various aspects.

Versatile midfacial degloving approach in oral and maxillofacial surgery

  • Anunay, Pangarikar;Umamaheswari, G.;Prachi, Parab;Suresh, Kumar;Devarathnamma, M.V.
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.45 no.4
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    • pp.192-198
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    • 2019
  • Objectives: Oral and maxillofacial surgeons must gain mastery of various approaches to the midface due to the increasing incidence, complexity, and severity of presenting midfacial fractures. Unlike in the case of other body parts, the need to preserve facial aesthetics makes it more difficult for the surgeon to select an approach for managing the facial injuries. The midfacial degloving (MFD) approach is a combination of intraoral and intranasal incisions made to access the midface without any external incision. The aim of the present study was to evaluate the efficacy of MFD in maxillofacial surgery and to assess its advantages and complications. Materials and Methods: The MFD approach was used in five cases, with three cases treated with open reduction and internal fixation and two cases operated on for posttraumatic deformity. Nasal dorsum augmentation was completed in three cases and nasal osteotomy was performed in one case. The bicoronal flap technique was combined with MFD for frontal bone augmentation in one case. The intraoperative time required for flap completion and the ease of performing the planned procedures were noted. Postoperative evaluation was done for reduction, aesthetics, function, and complications. Results: Access was excellent for performing all planned procedures. Average time spent for flap elevation and exposure of the midface was 63 minutes. Complications like postoperative swelling, infraorbital nerve paresthesia, and intranasal crusting were all transient. No long-term complications like stenosis of the nose, sneer deformity, or weakness of the facial muscles were noticed. Additionally, no complications were noted when MFD was combined with bicoronal flap. Conclusion: Though the MFD approach is technically demanding and takes more time than other facial approaches, it should be learned and applied by maxillofacial surgeons in selective cases, as it provides complete exposure of the midface without facial scarring.

A Delphi Study for Developing a Person-centered Dementia Care Online Education Program in Long-term Care Facilities (장기요양시설 인간중심 치매케어 온라인 교육 프로그램 개발을 위한 델파이 조사연구)

  • Kim, Da Eun;SaGong, Hae;Yoon, Ju Young
    • Research in Community and Public Health Nursing
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    • v.30 no.3
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    • pp.295-306
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    • 2019
  • Purpose: There has been a growing recognition that person-centered care enhances the quality of life of nursing home residents with dementia. This study was conducted to develop a person-centered dementia care online education program for direct care staff in long-term care facilities. Methods: Delphi method with expert group was used to validate contents. We developed 61 draft items based on literature review. Twenty experts participated in consecutive three round surveys including 5-point Likert scale questions and open-ended questions. Based on experts' opinions, the content validity ratio for content validity and the coefficient of variation for stability were calculated. Results: Three-round Delphi surveys and additional feedback from the expert panel established a consensus of core contents: 1) dementia (7 categories), 2) person-centered care (6 categories), 3) communication (8 categories), and 4) behavioral and psychological symptoms of dementia (6 categories). Specific sub-categories in each category were differentiated according to the job qualifications (65 sub-categories for registered nurses, 64 sub-categories for nursing aids, and 41 sub-categories for personal care workers). Conclusion: This delphi study identified person-centered dementia education curricula, in which the person-centered approach should be a key policy priority in Korean long-term care system. Now it is urgently needed to develop education programs utilizing online platforms that enable efficient and continuous learning for long-term care staff, which can contribute to behavior changes in the person-centered dementia care approach and improvement of care quality in long-term care facilities.

Performance comparison of various deep neural network architectures using Merlin toolkit for a Korean TTS system (Merlin 툴킷을 이용한 한국어 TTS 시스템의 심층 신경망 구조 성능 비교)

  • Hong, Junyoung;Kwon, Chulhong
    • Phonetics and Speech Sciences
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    • v.11 no.2
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    • pp.57-64
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    • 2019
  • In this paper, we construct a Korean text-to-speech system using the Merlin toolkit which is an open source system for speech synthesis. In the text-to-speech system, the HMM-based statistical parametric speech synthesis method is widely used, but it is known that the quality of synthesized speech is degraded due to limitations of the acoustic modeling scheme that includes context factors. In this paper, we propose an acoustic modeling architecture that uses deep neural network technique, which shows excellent performance in various fields. Fully connected deep feedforward neural network (DNN), recurrent neural network (RNN), gated recurrent unit (GRU), long short-term memory (LSTM), bidirectional LSTM (BLSTM) are included in the architecture. Experimental results have shown that the performance is improved by including sequence modeling in the architecture, and the architecture with LSTM or BLSTM shows the best performance. It has been also found that inclusion of delta and delta-delta components in the acoustic feature parameters is advantageous for performance improvement.

Vanishing Line based Lane Detection for Augmented Reality-aided Driver Induction

  • Yun, Jeong-Rok;Lee, Dong-Kil;Chun, Sung-Kuk;Hong, Sung-Hoon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.73-83
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    • 2019
  • In this paper, we propose the augmented reality(AR) based driving navigation based on robust lane detection method to dynamic environment changes. The proposed technique uses the detected lane position as a marker which is a key element for enhancing driving information. We propose Symmetrical Local Threshold(SLT) algorithm which is able to robustly detect lane to dynamic illumination environment change such as shadows. In addition, by using Morphology operation and Connected Component Analysis(CCA) algorithm, it is possible to minimize noises in the image, and Region Of Interest(ROI) is defined through region division using a straight line passing through several vanishing points We also propose the augmented reality aided visualization method for Interchange(IC) and driving navigation using reference point detection based on the detected lane coordinates inside and outside the ROI. Validation experiments were carried out to assess the accuracy and robustness of the proposed system in vairous environment changes. The average accuracy of the proposed system in daytime, nighttime, rainy day, and cloudy day is 79.3% on 4600 images. The results of the proposed system for AR based IC and driving navigation were also presented. We are hopeful that the proposed research will open a new discussion on AR based driving navigation platforms, and thus, that such efforts will enrich the autonomous vehicle services in the near future.

Usefulness of Inferior Turbinate Bone-Periosteal-Mucosal Composite Free Graft for Cerebrospinal Fluid Leakage (하비갑개 골-골막-점막 복합이식을 이용한 뇌척수액 유출 복원술)

  • Baek, Kwangha;Kim, Jihyung;Moon, Youngmin;Kim, Chang-Hoon;Yoon, Joo-Heon;Cho, Hyung-Ju
    • Journal of Rhinology
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    • v.25 no.2
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    • pp.123-129
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    • 2018
  • Background and Objectives: Endoscopic repair of cerebrospinal fluid (CSF) leak can avoid morbidity of open approaches and has shown a favorable success rate. Free mucosal graft is a good method, and multi-layered repair is more favorable. The inferior turbinate has been commonly utilized for the free mucosal graft, but we newly designed it as a bone-periosteal-mucosal composite graft for multilayered reconstruction. Subjects and Method: Four subjects with a skull base defect were treated with this method. The inferior turbinate was partially resected including the conchal bone and was trimmed according to defect size. Both bony parts and periosteum were preserved on the basolateral side of the mucosa as a composite graft. The graft was applied to the defect site using an overlay technique. Results: All cases were successfully repaired without any complications. Three of them had a defect size greater than 10-12 mm, and the graft stably repaired the CSF leakage. Conclusion: Endoscopic repair of CSF leakage using inferior turbinate composite graft is a simple and easy method and would be favorable for defect sizes greater than 10 mm.

Numerical Modeling for the Identification of Fouling Layer in Track Ballast Ground (자갈도상 지반에서의 파울링층 식별을 위한 수치해석연구)

  • Go, Gyu-Hyun;Lee, Sung-Jin
    • Journal of the Korean Geotechnical Society
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    • v.37 no.9
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    • pp.13-24
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    • 2021
  • Recently, attempts have been made to detect fouling patterns in the ground using Ground Penetrating Radar (GPR) during the maintenance of gravel ballast railway tracks. However, dealing with GPR signal data obtained with a large amount of noise in a site where complex ground conditions are mixed, often depends on the experience of experts, and there are many difficulties in precise analysis. Therefore, in this study, a numerical modeling technique that can quantitatively simulate the GPR signal characteristics according to the degree of fouling of the gravel ballast material was proposed using python-based open-source code gprMax and RSA (Random sequential Absorption) algorithm. To confirm the accuracy of the simulation model, model tests were manufactured and the results were compared to each other. In addition, the identification of the fouling layer in the model test and analysis by various test conditions was evaluated and the results were analyzed.

Automated Building Fuzzing Environment Using Test Framework (테스트 프레임워크를 활용한 라이브러리 퍼징 환경 구축 자동화)

  • Ryu, Minsoo;Kim, Dong Young;Jeon Sanghoonn;Kim, Huy Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.31 no.4
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    • pp.587-604
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    • 2021
  • Because the library cannot be run independently and used by many applications, it is important to detect vulnerabilities in the library. Fuzzing, which is a dynamic analysis, is used to discover vulnerabilities for the library. Although this fuzzing technique shows excellent results in terms of code coverage and unique crash counts, it is difficult to apply its effects to library fuzzing. In particular, a fuzzing executable and a seed corpus are needed that execute the library code by calling a specific function sequence and passing the input of the fuzzer to reproduce the various states of the library. Generating the fuzzing environment such as fuzzing executable and a seed corpus is challenging because it requires both understanding about the library and fuzzing knowledge. We propose a novel method to improve the ease of library fuzzing and enhance code coverage and crash detection performance by using a test framework. The systems's performance in this paper was applied to nine open-source libraries and was verified through comparison with previous studies.

A Lung Granuloma Case Possibly Associated with a Working Environment: A Case Report

  • Seehapanya, Sankom;Chaiear, Naesinee;Ratanawatkul, Pailin;Samerpitak, Kittipan;Intarawichian, Piyapharom;Wonglakorn, Lumyai
    • Safety and Health at Work
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    • v.12 no.2
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    • pp.268-271
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    • 2021
  • Lung granulomas are uncommon in Thailand. The disease typically develops from an occupational environment and is mostly caused by infection. Herein is a case report of a female patient, aged 48, working as a nurse in an Accident and Emergency Department at a hospital. Eighteen years prior to admission the patient was diagnosed with myasthenia gravis and pulmonary tuberculosis. The chest X-ray and CT scans showed a solitary pulmonary nodule in the lower left lung. The patient received an open thoracotomy with a left lobectomy. Granulomatous and nonseptate hyphae were found in the pathology diagnosis. The patient was thus diagnosed as having a lung granuloma. The galactomannan antigen test was positive. The solitary pulmonary nodule-found from the use of a Polymerase Chain Reaction (PCR) test-was an Aspergillus spp. The fungus culture was collected from air samples. The air samples were collected by the impaction technique using a microbial air sampler. Three types of Aspergillus spp. were found as well as Penicillium spp. and Monilia sitophila. The Aspergillus spp. was a match for the patient's disease. The patient was diagnosed as having a lung granuloma possibly Aspergillus nodule which was caused by airborne Aspergillus spp. from the occupational environment.