• Title/Summary/Keyword: mobile working

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Decision Support System to Detect Unauthorized Access in Smart Work Environment (스마트워크 환경에서 이상접속탐지를 위한 의사결정지원 시스템 연구)

  • Lee, Jae-Ho;Lee, Dong-Hoon;Kim, Huy-Kang
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.4
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    • pp.797-808
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    • 2012
  • In smart work environment, a company provides employees a flexible work environment for tele-working using mobile phone or portable devices. On the other hand, such environment are exposed to the risks which the attacker can intrude into computer systems or leak personal information of smart-workers' and gain a company's sensitive information. To reduce these risks, the security administrator needs to analyze the usage patterns of employees and detect abnormal behaviors by monitoring VPN(Virtual Private Network) access log. This paper proposes a decision support system that can notify the status by using visualization and similarity measure through clustering analysis. On average, 88.7% of abnormal event can be detected by this proposed method. With this proposed system, the security administrator can detect abnormal behaviors of the employees and prevent account theft.

The Effect of Infection Anxiety about COVID-19 Perceived by Home Appliance Installation and Repair Technicians on Work Stress (가전제품 설치수리기사가 인지하는 코로나19에 대한 감염 불안이 업무스트레스에 미치는 영향)

  • Kwon, Eun-Jung;Hwang, Jee-Hyun;Kim, Hee-Gerl
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.31 no.4
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    • pp.531-539
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    • 2021
  • Objectives: The purpose of this study is to understand the effect of infection anxiety about COVID-19 perceived by home appliance installers and repair technicians on work stress. Methods: To collect data, the purpose of the study was explained through the labor union of domestic home appliance service companies, and a survey was conducted through mobile to 286 home appliance installers and repair technicians who agreed to the survey. Results: As a result of the analysis, it was found that age, fatigue, work satisfaction, visit time, and Corona 19 infection anxiety had a significant effect on work stress. In other words, the higher the age, the higher the fatigue, the lower the job satisfaction, the higher the work stress was when the visit time was more than 30 minutes, and the higher the Corona 19 infection anxiety, the higher the work stress. Conclusions: Based on the results of this study, the following suggestions are made. First, in order to prevent work stress, we propose the development of a workplace health care program that can solve fatigue. Second, it is necessary to prepare a working environment and provide institutional support to reduce work stress by increasing Job satisfaction. Third, a workplace quarantine measures is needed to prevent infection for essential-workers who do face-to-face work in preparation for possible infectious diseases in the future.

The Status of the Bring Your Own Device (BYOD) in Saudi Arabia: Dataset

  • Khalid A. Almarhabi;Adel A. Bahaddad;Ahmed M. Alghamdi
    • International Journal of Computer Science & Network Security
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    • v.23 no.2
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    • pp.203-209
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    • 2023
  • The paper brings across data that is utilized in the Bring Your Own Device (BYOD) status collected between February and April of 2021 across Saudi Arabia. The data set was collected using questionnaires established through online mechanisms for the respondents. In the questionnaire, personal details included five questions while seven questions addressed the working model of personal mobile devices. Six questions addressed the awareness of employees bring your own device awareness for employees comprised seven questions and two questions addressed the benefits of business achievements. In the identification of suitable respondents for the research, two approaches were applied. The research demanded that the respondents be Saudi Arabian nationals and have attained 18 years. Snowball and purposive techniques were applied in the collection of information from a wide area of Saudi Arabia while employing social media approaches that include the use of WhatsApp and emails in the collection of data. The approach ensured the collection of data from 857 respondents used in the identification of the status as well as issues across the BYOD environment and accompanying solutions. The data was also used in the provision of awareness in the community through short-term courses, cyber security training and awareness programs. The results of the research are therefore applicable to the context of the Saudi Arabian country that is currently facing issues in dealing with the application of personal devices in the work environment.

A Worker-Driven Approach for Opening Detection by Integrating Computer Vision and Built-in Inertia Sensors on Embedded Devices

  • Anjum, Sharjeel;Sibtain, Muhammad;Khalid, Rabia;Khan, Muhammad;Lee, Doyeop;Park, Chansik
    • International conference on construction engineering and project management
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    • 2022.06a
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    • pp.353-360
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    • 2022
  • Due to the dense and complicated working environment, the construction industry is susceptible to many accidents. Worker's fall is a severe problem at the construction site, including falling into holes or openings because of the inadequate coverings as per the safety rules. During the construction or demolition of a building, openings and holes are formed in the floors and roofs. Many workers neglect to cover openings for ease of work while being aware of the risks of holes, openings, and gaps at heights. However, there are safety rules for worker safety; the holes and openings must be covered to prevent falls. The safety inspector typically examines it by visiting the construction site, which is time-consuming and requires safety manager efforts. Therefore, this study presented a worker-driven approach (the worker is involved in the reporting process) to facilitate safety managers by developing integrated computer vision and inertia sensors-based mobile applications to identify openings. The TensorFlow framework is used to design Convolutional Neural Network (CNN); the designed CNN is trained on a custom dataset for binary class openings and covered and deployed on an android smartphone. When an application captures an image, the device also extracts the accelerometer values to determine the inclination in parallel with the classification task of the device to predict the final output as floor (openings/ covered), wall (openings/covered), and roof (openings / covered). The proposed worker-driven approach will be extended with other case scenarios at the construction site.

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A Survey of Dentists and Dental Hygienists on Dental Team Composition and Work Assignments (치과의사 및 치과위생사의 치과팀 구성 및 업무 분장에 대한 견해)

  • Lee, Hyo-Jin;Shin, Sun-Jung;Bae, Soo-Myoung;Shin, Bo-Mi
    • Journal of Korean Dental Hygiene Science
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    • v.2 no.1
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    • pp.51-62
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    • 2019
  • The purpose of this study was to investigate the status and views on the dental team composition and works, the experience of a dental manpower shortage and opinions on the solution. The subjects were 313 dentists and dental hygienists. The mobile questionnaires were conducted on the status of dental team composition and works, the experience of a dental manpower shortage and opinions on the solution. There was no big difference between the current dental team composition and ideal composition ratio, and dentists answered that it would be more ideal to reduce dental hygiene and increase nurse assistant when the working dentist was 3~5. 85.6% of the dentists and 56.4% of the dental hygienists had difficulty in employing the dental auxiliary personnel. The difficulty level was 8 out of 10 points among dentists and 5.7 points among dental hygienists. 91.1% of the dentists and 95.5% of the dental hygienists agreed on the necessity of expanding the dental hygienist's work. The dental works were temporary crown making and setting, surgical operation assistance, and overall dental assistance. Based on the results of this study, it is necessary to continuously make efforts to communicate with the dental personnel in Korea to solve a lot of problems such as the job assignment, the dental personnel policy and system, and the work environment.

The Effect of Managerial Information Security Intelligence on the Employee's Information Security Countermeasure Awareness (경영진의 정보보안 지능이 조직원의 보안대책 인식에 미치는 영향)

  • Jin Young Han;Hyun-Sun Ryu
    • Information Systems Review
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    • v.18 no.3
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    • pp.137-153
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    • 2016
  • Organizations depend on smart working environments, such as mobile networks. This development motivates companies to focus on information security. Information leakage negatively affects companies. To address this issue, management and information security researchers focus on compliance of employees with information security policies. Countermeasures in information security are known antecedents of intention to comply information security policies. Despite the importance of this topic, research on the antecedents of information security countermeasures is scarce. The present study proposes information security intelligence as an antecedent of information security countermeasures. Information security intelligence adapted the concept of safety intelligence provided by Kirwan (2008). Information security intelligence consists of problem solving skills, social skills, and information security knowledge related to information security. Results show that problem solving skills and information security knowledge have positive effects on the awareness of employees of information security countermeasures.

The Major Factors Influencing Technostress and the Effects of Technostress on Usage Intention of Mobile Devices in the Organization Context (조직 내에서 테크노스트레스에 영향을 미치는 요인 및 테크노스트레스가 조직 내 스마트 기기 활용에 미치는 영향)

  • Seil Hong;Byoungsoo Kim
    • Information Systems Review
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    • v.19 no.1
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    • pp.49-74
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    • 2017
  • The development of smart devices has affected employees' working environments and their lives. However, using smart devices is causing employees to experience technostress. This study aims to investigate the effects of technostress in using smart devices on usage intention in an organization. Moreover, the study investigates the effect of employees' stress-coping methods on the intention to use smart devices. This study posits familiarity, use innovativeness, role ambiguity, system vulnerability, technological limitation, and ubiquity as the antecedents of technostress. Data collected from 317 users who have experience in using smart devices in organizations are empirically tested against a research model using the PLS graph. Analysis results show that role ambiguity, system vulnerability, and technological limitation significantly influence technostress. Moreover, users take up emotion-focused coping behaviors because of technostress. Emotion-focused coping behaviors affect usage intention in organizations. However, technostress and problem-focused coping behaviors do not directly affect usage intention in organizations.

Comparison of the Survey of Teaching Demand for Distance Education Support for the 2021 and 2022 Academic Years : For D Community Colleges in Daegu (2021학년도와 2022학년도 원격교육지원에 대한 교수 수요도 조사 비교: 대구지역 D전문대학을 대상으로)

  • Park, Jeong-Kyu
    • Journal of the Korean Society of Radiology
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    • v.16 no.4
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    • pp.491-497
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    • 2022
  • In this study, we tried to secure basic data to create an environment necessary for distance learning through a survey on professor demand. Among the 184 full-time faculty members of the university, 73 (39.89%) respondents in 2021 and 87 (47.28%) in 2022 were included. As a result of the research on professor demand, in the 2021 school year, 27 people (37%) were classified as LMS improvement items when checking attendance, 38 people (23.3%) were pin-mics as content development support items, and 26 people (35.6%), 33 people (45.2%) of GOM Mix and 25 people (34.2%) of the distance education support center wanted to learn video editing program as the item of video editing program they are currently using. In the 2022 school year, 27 people (31.03%) said mobile upgrade as an LMS improvement item, 52 people (59.8%) of pin-microphone as a content development support item, 33 people (37.9%), but currently using the content creation intention using a studio. As for the video editing program they are working on, 47 people (54%) of GOM Mix Pro and 23 people (26.4%) of the distance education support center want to learn content creation method. In addition, the intention to produce content using the studio for the 2021 and 2022 academic year and the desired educational topic of the distance education support center in the future appeared insignificant (p > 0.05). In this distance education support center, we are working to solve the class of LMS attendance, upgrade mobile, and plan to distribute pin microphones. We are planning to increase the usability of the studio and provide training on how to use video editing programs and how to create video content. In order for a smooth class to take place in a university distance class, the university authorities should seek ways to support the instructor so that he/she does not have difficulties in performing his/her role as a teaching designer, such as setting learning goals, organizing and organizing content, motivating learning, and establishing effective class participation plans. there is a need

Modeling FORM Architectures Based on UML 2.0 Profiling (UML 2.0 프로파일링을 이용한 FORM 아키텍처 모델링)

  • Yang, Kyung-Mo;Jo, Yoon-Ho;Kang, Kyo-Chul
    • Journal of KIISE:Software and Applications
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    • v.36 no.6
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    • pp.431-442
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    • 2009
  • The Software Product Line (SPL) engineering is one of the most promising software development paradigms. With Feature-Oriented Reuse Method (FORM), reusable and flexible components can be built to aid the delivery of various software products such as mobile phone and digital TV applications based on commonalities and variabilities identified during Feature modeling. Model Driven Architecture (MDA) is also an emerging technology which supports developing software products to work on different platforms with platform independent models (PIM). Combining advantages of these two approaches is helpful to build a group of software products which share common Features while working on various platforms. As first step to combine FORM with MDA, we extend UML2.0 with profiles by which FORM architectures and parameterized Statecharts can be modeled. Secondly, we provide rules to examine whether Features are allocated at positions of elements of Statecharts consistently between a Feature model and a parameterized Statechart. Some rules are designed to check the consistency between FORM architectures and parameterized Statecharts. A case study on an elevator control system is provided to demonstrate the feasibility of our modeling approach and consistency checking rules.

The Study on the Development of Analysis and Management System for Traffic Accident Spatial DB (교통사고 공간 DB관리 및 분석 시스템 개발에 관한 연구)

  • Yu Ji Yeon;Jeon Jae Yong;Jeon Hyeong Seob;Cho Gi Sung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.4
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    • pp.345-352
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    • 2005
  • In up-to-date information anger time it is caused by with business of traffic accident control and analysis and two time it accomplishes a business. National Police Office which controls a traffic accident does not execute an up-to-date technique. And, it is working yet by the hand, There is to traffic accident analysis and the research regarding the analysis against the research which it follows in geography element and composition element and an accident cause is weak. Consequently, effectively establishment and it enforces a traffic safety policy and from the hazard which it evaluates traffic accident data the system and scientific analysis against a traffic accident occurrence cause and a feature in basic must become accomplished. The research which it sees constructs a traffic accident data in GIS base. It is like that, it uses the PDA where is not the collection of data of text form in existing and at real-time it converts store and an accident data rightly in standard traffic accident data form and it will be able to manage. It was related with a space data peculiarity and the research regarding the system development with the geography analysis data about an accident cause under manifesting it accomplished.