• Title/Summary/Keyword: data transmission

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A study on the Role of Ergonomics Experts in Industrial Safety and Health

  • Han, Kang-Jin;Park, Dong-Hyun;Choi, Seo-Yeon
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.8
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    • pp.83-90
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    • 2021
  • In this paper, effects on industrial accident prevention based on better safety and health environment by utilizing ergonomics expert were studied. This study was mainly based on the data from 'the survey for occupational safety and health trend' conducted by Occupational Safety and Health Research Institute. The number of industries participated in the survey was 2,084. Main results of the study were as follows; 1) Only 22.9% of the industries participated in the survey utilized ergonomics expert. The rest of the industries have never had an ergonomics expert due to the reasons such as lack of knowledge for the field of ergonomics, etc. 2) Specific activities done by the industries with ergonomics expert in order to have better safety & health were 'providing work orders'(94.8%), 'providing monitoring guidelines'(85.5%), 'providing information for dangerous work'(95.8%), 'providing safety education'(96.6%), and 'other safety management'(94.1%). 3) When the odds ratio for the levels of communication and the levels of environmental stability regarding safety & health for the different groups(with experts and without experts), it was found that the group with ergonomics experts had a significant higher ORs(2.391, 95% confidence interval(1.949-2.932) and 2.128, 95% confidence interval(1.786-2.537)) respectively than those of the industries without ergonomics expert. The results suggested that ergonomics expert has been unique in most of time in terms of his/her contributions in the field of industrial safety and health.

Source-Location Privacy in Wireless Sensor Networks (무선 센서 네트워크에서의 소스 위치 프라이버시)

  • Lee, Song-Woo;Park, Young-Hoon;Son, Ju-Hyung;Kang, Yu;Choe, Jin-Gi;Moon, Ho-Gun;Seo, Seung-Woo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.17 no.2
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    • pp.125-137
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    • 2007
  • This paper proposes a new scheme to provide the location privacy of sources in Wireless Sensor Networks (WSNs). Because the geographical location of a source sensor reveals contextual information on an 'event' in WSN, anonymizing the source location is an important issue. Despite abundant research efforts, however, about data confidentiality and authentication in WSN, privacy issues have not been researched well so far. Moreover, many schemes providing the anonymity of communication parties in Internet and Ad-hoc networks are not appropriate for WSN environments where sensors are very resource limited and messages are forwarded in a hop-by-hop manner through wireless channel. In this paper, we first categorize the type of eavesdroppers for WSN as Global Eavesdropper and Compromising Eavesdropper. Then we propose a novel scheme which provides the anonymity of a source according to the types of eavesdroppers. Furthermore, we analyze the degree of anonymity of WSN using the entropy-based modeling method. As a result, we show that the proposed scheme improves the degree of anonymity compared to a method without any provision of anonymity and also show that the transmission range plays a key role to hide the location of source sensors.

Prevalence of Toxoplasma gondii Antibodies in Stray Dogs from Various Locations in West and East Malaysia

  • Watanabe, Malaika;Sadiq, Mohammed Babatunde;Mulop, Nazrul Iqbal Abdul;Mohammed, Konto;Rani, Puteri Azaziah Megat;Fong, Lau Seng;Aziz, Nor Azlina;Kamaludeen, Juriah;Ramanoon, Siti Zubaidah;Mansor, Rozaihan;Ping, Tan Li;Syed-Hussain, Sharifah Salmah
    • Parasites, Hosts and Diseases
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    • v.58 no.5
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    • pp.487-492
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    • 2020
  • Toxoplasmosis is caused by an obligate intracellular protozoan parasite; Toxoplasma gondii, which is one of the most important zoonotic parasite worldwide. In dogs, the sexual reproductive cycle of T. gondii is lacking, and the animals are not widely consumed as food, but they are vital in the mechanical transmission of the parasite. However, there is no present data on the exposure of stray dogs to T. gondii in Malaysia. The objective of this serological survey was to determine the prevalence of T. gondii antibodies (IgG) and associated factors in stray dogs in East and West Malaysia. Antibodies to T. gondii were determined in serum samples from 222 stray dogs from 6 different states in East and West Malaysia (Peninsular Malaysia) using an Indirect ELISA. The seroprevalence for T. gondii was 23.4% (Confidence interval: CI 17.8-29.2%). Stray dogs from Selangor and Kuala Lumpur had the highest seroprevalence (32.4%; CI 13.2-45.5%) and lowest in those from Penang and Kedah (12.5%; CI 1.3-23.5%). Gender and breed were not associated with T. gondii seropositivity. However, adult dogs were more likely to be seropositive for T. gondii (OR=2.89; CI 1.1-7.7) compared with younger dogs. These results revealed that T. gondii is prevalent in stray dogs in the studied areas in Malaysia, and indicative of the level of environmental contamination of this parasite especially in urban areas.

Design and Development of Modular Replaceable AI Server for Image Deep Learning in Social Robots on Edge Devices (엣지 디바이스인 소셜 로봇에서의 영상 딥러닝을 위한 모듈 교체형 인공지능 서버 설계 및 개발)

  • Kang, A-Reum;Oh, Hyun-Jeong;Kim, Do-Yun;Jeong, Gu-Min
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.6
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    • pp.470-476
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    • 2020
  • In this paper, we present the design of modular replaceable AI server for image deep learning that separates the server from the Edge Device so as to drive the AI block and the method of data transmission and reception. The modular replaceable AI server for image deep learning can reduce the dependency between social robots and edge devices where the robot's platform will be operated to improve drive stability. When a user requests a function from an AI server for interaction with a social robot, modular functions can be used to return only the results. Modular functions in AI servers can be easily maintained and changed by each module by the server manager. Compared to existing server systems, modular replaceable AI servers produce more efficient performance in terms of server maintenance and scale differences in the programs performed. Through this, more diverse image deep learning can be included in robot scenarios that allow human-robot interaction, and more efficient performance can be achieved when applied to AI servers for image deep learning in addition to robot platforms.

The Relationship of Anxiety, Risk Perception, Literacy, and Compliance of Preventive Behaviors during COVID-19 Pandemic in Nursing Students (간호대학생의 코로나19에 대한 불안, 위험인식, 정보이해력 및 감염예방행위 수행간의 관계)

  • Park, Jin-Hee;Kim, Ji-Hye;Lee, Hyun-Ju;Kang, Purum
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.1
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    • pp.48-59
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    • 2021
  • This study aimed to explore anxiety, risk perception, information literacy, and performance level of infection prevention practices against coronavirus disease (COVID-19) among nursing students during the pandemic. A descriptive online survey was conducted, targeting a total of 224 nursing students from June 8, 2020 to 14, 2020. The collected data were analyzed using descriptive statistics, t-test, analysis of variance, and correlation analysis using SPSS 26.0. The nursing students' level of anxiety was 6.86 out of 10, which was normal. Their information literacy level and performance level of infection prevention practices were 3.50 out of 4 and 4.44 out of 5, respectively, and these scores were considered high. The higher the level of anxiety, risk perception, and information literacy, the higher the level of infection prevention practices. The level of anxiety with respect to infection and risk perception may increase when new types of infectious diseases such as COVID-19 break out. Therefore, it is necessary to promote the accurate understanding of the infectious diseases by providing sufficient information. Accurate understanding of new infectious diseases can reduce the risk of transmission as it encourages people to thoroughly perform infection prevention practices.

Analysis of Feature Map Compression Efficiency and Machine Task Performance According to Feature Frame Configuration Method (피처 프레임 구성 방안에 따른 피처 맵 압축 효율 및 머신 태스크 성능 분석)

  • Rhee, Seongbae;Lee, Minseok;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.318-331
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    • 2022
  • With the recent development of hardware computing devices and software based frameworks, machine tasks using deep learning networks are expected to be utilized in various industrial fields and personal IoT devices. However, in order to overcome the limitations of high cost device for utilizing the deep learning network and that the user may not receive the results requested when only the machine task results are transmitted from the server, Collaborative Intelligence (CI) proposed the transmission of feature maps as a solution. In this paper, an efficient compression method for feature maps with vast data sizes to support the CI paradigm was analyzed and presented through experiments. This method increases redundancy by applying feature map reordering to improve compression efficiency in traditional video codecs, and proposes a feature map method that improves compression efficiency and maintains the performance of machine tasks by simultaneously utilizing image compression format and video compression format. As a result of the experiment, the proposed method shows 14.29% gain in BD-rate of BPP and mAP compared to the feature compression anchor of MPEG-VCM.

Prevalence of hepatitis E virus antibodies in cattle in Burkina Faso associated with swine mixed farming

  • Tialla, Dieudonne;Cisse, Assana;Ouedraogo, Georges Anicet;Hubschen, Judith M.;Tarnagda, Zekiba;Snoeck, Chantal J.
    • Journal of Veterinary Science
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    • v.23 no.3
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    • pp.33.1-33.10
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    • 2022
  • Background: Endemic circulation of human-specific hepatitis E virus (HEV) genotypes 1 and 2 may occult the importance of sporadic zoonotic HEV transmissions in Africa. Increasing numbers of studies reporting anti-HEV antibodies in cattle and the discovery of infectious HEV in cow milk has raised public health concern, but cattle exposure has seldom been investigated in Africa. Objectives: This study aimed at investigating the role of cows in the epidemiology of HEV in Burkina Faso and farmers habits in terms of dairy product consumption as a prerequisite to estimate the risk of transmission to humans. Methods: Sera from 475 cattle and 192 pigs were screened for the presence of anti-HEV antibodies while HEV RNA in swine stools was detected by reverse transcription polymerase chain reaction. Data on mixed farming, dairy product consumption and selling habits were gathered through questionnaires. Results: The overall seroprevalence in cattle was 5.1% and herd seroprevalence reached 32.4% (11/34). Herd seropositivity was not associated with husbandry practice or presence of rabbits on the farms. However, herd seropositivity was associated with on-site presence of pigs, 80.7% of which had anti-HEV antibodies. The majority of farmers reported to preferentially consume raw milk based dairy products. Conclusions: Concomitant presence of pigs on cattle farms constitutes a risk factor for HEV exposure of cattle. However, the risk of HEV infections associated with raw cow dairy product consumption is currently considered as low.

A Study on the Management of the Sectional Superficies for the Realization of 3D Cadastre (입체지적 구현을 위한 구분지상권의 관리에 관한 연구)

  • Kim, HyunYoung;Lih, BongJoo
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.2
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    • pp.107-123
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    • 2021
  • In recent years, due to the continuous density and urbanization of space, the expansion of awareness of rights, the need for landscape conservation, and the development of construction technology, the conventional flat land use has been deviated from the conventional flat land use, and the transmission line, urban railway, parking lot, communal district, underground shopping mall, pipeline, etc. Although 3D spatial activities are carried out in the form of 3D space, there are considerable difficulties in administration to manage the 3D use of land due to the inadequacy of related regulations. In this background, for the administration that can manage Sectional Superficies, which is a representative case of 3D spatial use of parcels, which is a registered unit of land, first, the law on the establishment and management of spatial information, and cadastral re-examination from the legal and institutional aspects Standardization of 3D space registration through amendments to the Special Act, etc. and the formation of consensus among related departments. Second, in technical and administrative aspects, the registration of Sectional Superficies based on cadastral survey results, establishment of a platform for integrated management of location and attribute data, and registration method was found to be in need of improvement. As suggested in this study, by registering and managing Sectional Superficies, it is possible to manage various 3D land use of not only ground space or surface space but also underground space. It is expected to be able to register and manage lot-based 3D land use efficiently.

Development of Embedded Type Sensor Module for Measuring Stress of Concrete Using Hetero-core Optical Fiber (헤테로코어 광섬유를 이용한 콘크리트 응력 측정용 매립형 센서모듈의 개발)

  • Yang, Hee-Won;Lee, Hwan-Woo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.26 no.2
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    • pp.68-75
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    • 2022
  • In this study, in order to directly evaluate the prestress of the PSC structure, a new sensor module based on the measurement of the deformation of concrete was proposed using hetero-core optical fibers and performance tests were performed. In a hetero-core optical fiber, optical loss occurs when a specific part of the transmission path is bent, and the amount of optical loss changes linearly according to the magnitude of the curvature. In order to confirm the measurement performance of the sensor module and the applicability of the optical fiber, the sensor module was deformed and the light passing through the optical fiber was converted into wattage and measured. It can be seen that the light passing through the optical fiber has a linearity of 0.9333 in relation to the deformation while generating the maximum deformation of 0.5 mm at a rate of 0.12 mm/min in a cylindrical concrete specimen with a diameter of 15 cm and a height of 35 cm in which the sensor module is embedded. Based on the results of this experiment, it is judged that it is possible to directly evaluate the prestress of a PSC structure by embedding a sensor module using a hetero-core optical fiber in the structure and measuring the compression deformation in concrete. It is judged that it can be used as useful data for the development of a sheath tube integrated sensor module to be applied to be applied to the girder model experiment.

Study on Threshold Scheme based Secure Secret Sharing P2P System (임계 방식 기반 안전 비밀조각 공유 P2P 시스템 연구)

  • Choi, Cheong-Hyeon
    • Journal of Internet Computing and Services
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    • v.23 no.3
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    • pp.21-33
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    • 2022
  • This paper is to suggest the secure secret sharing system in order to outstandingly reduce the damage caused by the leakage of the corporate secret. This research system is suggested as efficient P2P distributed system kept from the centrally controlled server scheme. Even the bitcoin circulation system is also based on P2P distribution scheme recenly. This research has designed the secure circulation of the secret shares produced by Threshold Shamir Secret Sharing scheme instead of the shares specified in the torrent file using the simple, highly scalable and fast transferring torrent P2P distribution structure and its protocol. In addition, this research has studied to apply both Shamir Threshold Secret Sharing scheme and the securely strong multiple user authentication based on Collaborative Threshold Autentication scheme. The secure transmission of secret data is protected as using the efficient symmetric encryption with the session secret key which is safely exchanged by the public key encryption. Also it is safer against the leakage because the secret key is effectively alive only for short lifetime like a session. Especially the characteristics of this proposed system is effectively to apply the threshold secret sharing scheme into efficient torrent P2P distributed system without modifying its architecture of the torrent system. In addition, this system guaranttes the confidentiality in distributing the secret file using the efficient symmetric encryption scheme, which the session key is securely exchanged using the public key encryption scheme. In this system, the devices to be taken out can be dynamically registered as an user. This scalability allows to apply the confidentiality and the authentication even to dynamically registerred users.