• Title/Summary/Keyword: Security workers

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A Study on the Job and Need Satisfactions of Elementary School Foodservice Employees in Seoul Area (서울지역 초등학교 급식종사원의 직무 및 욕구만족도에 관한 연구)

  • 장서영;한명주
    • Korean journal of food and cookery science
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    • v.18 no.6
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    • pp.625-631
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    • 2002
  • The objectives of this study were to determine the degree of job satisfaction and need satisfaction of school foodservice employees, and the relationship between Job in General(JIG) and need satisfaction. The six demographic items, the Job Descriptive Index(JDI) and JIG scale, and Need Satisfaction Questionnaire(NSQ) were used to evaluate job satisfaction and need satisfaction of school foodservice employees. The results of this study showed that the employees were satisfied with co-workers(2.52), then supervision(2.48), work(1.86), promotion(0.72) and pay(0.51) in decreasing order. Older employees(Age$\geq$40) tended to be more satisfied in JIG(p=0.0620) than younger employees(20$\leq$Age$\leq$39). Employees were satisfied in social needs, then autonomy needs, self-actualization needs, esteem needs, security heeds in decreasing order. There were no significant differences between demographic factors and five need categories. When the employees were classified by their scores on JIG, Group I having the lowest score tended to be less satisfied(p=0.0627) in security needs than Group II and Group III. The information of study could be useful for foodservice managers in job design to increase the productivity.

A Skechy Study on a Riot Possibility of a Race Problem that Immigrants and Sojoruners in Korea (한국내 외국인 이주 및 체류자집단 인종문제의 폭동가능성에 관한 시론적 연구 -'05.10.27 프랑스 인종폭동 사태 중심으로)

  • Choi, Kee-Nam;Lee, Sun-Je
    • Korean Security Journal
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    • no.11
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    • pp.245-274
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    • 2006
  • Korea is not permitting the foreigner emigration officially. But to domestic the foreigner dwells in the form which is various and it is living. These people are slept, the industrial workers and married a person of different nationality and kosians. In 2005 October 27th a rase riot raised by the immigration and stay sleeping group in France. It observes the width eastern possibility due to foreigner immigration and stay which dwell even inside instruction making Korea which will reach sleeping group the reporter it does.

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Satisfaction of Preparatory Year Students at Umm Al-Qura University with Distance Learning During Covid-19

  • Alhaythami, Hassan M.
    • International Journal of Computer Science & Network Security
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    • v.21 no.8
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    • pp.308-316
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    • 2021
  • During the past two years, the education systems in the world witnessed unprecedented turmoil due to the coronavirus (Covid-19) pandemic, as most schools and universities in the world closed their doors to more than 1.5 billion students, or more than 90% of the total learners, according to recent figures issued by the UNESCO Institute for Statistics. Education experts have agreed that post- coronavirus education will not be the same as before, especially with the increasing use of modern technology in education. One of the most important new patterns with a structure digital in education is distance education, this style has been used, in many countries of the world, as an alternative to traditional education, since the beginning of the pandemic. In Saudi Arabia, this type of education has been used in all educational institutions, starting from kindergarten until the postgraduate level, as an alternative to face-to-face education to preserve the health and safety of students and workers in educational institutions. This study aimed to explore the level of satisfaction of preparatory year students on distance learning in their first year of study at Umm Al-Qura University. The findings of this study showed that students in the preparatory year were satisfied with their online learning experience. In addition, the results revealed that there was no effect for gender and location of study on students' level of satisfaction. Saudi universities should continue to work to create a suitable learning environment for students at the e-learning level.

Formation Of Digital Culture Of Scientific And Pedagogical Workers In The Conditions Of General Digitalization Of Education

  • Kononenko, Andrii;Smyrnova, Iryna;Rybalko, Petro;Obraz, Vasyl;Balakhovska, Yuliia;Prepotenska, Maryna
    • International Journal of Computer Science & Network Security
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    • v.21 no.12
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    • pp.189-192
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    • 2021
  • The article theoretically substantiated, developed and practically implemented a structural and functional model of the formation of ICT competence, taking into account interdisciplinary integration, defines the pedagogical conditions that contribute to the formation of ICT competence: interdisciplinary integration as a basis for building an interdisciplinary course, the content of which is aimed at the formation of ICT competence; the use of IEE, including information, didactic, technological components as a basis for the formation of ICT competence; integration of formal, non-formal and informal education for the implementation the integrity of the acquired knowledge, skills, experience as the basis for the formation of the ICT competence of teachers; creation and use of a set of tasks (educational (UZ), educational and methodological (UMP), educational and professional (UPZ)) as special tools for the formation of ICT competence.

Leveling Up the Information Culture of Social Work Bachelors

  • Bartosh, Olena;Povidaichyk, Oksana;Kozubovska, Iryna;Shandor, Fedir;Afanasiev, Dmytro;Bodnar, Olesia;Katsora, Oleksandr;Oros, Oleksandra
    • International Journal of Computer Science & Network Security
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    • v.21 no.5
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    • pp.222-230
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    • 2021
  • The article reviews the issue of formation of information culture of social work bachelors in the process of their professional training. The main internal / external factors that determine the need for the information culture formation of social workers-to-be have been identified. To determine the levels of information culture formed in bachelors of social work criteria and their indicators have been substantiated. The model of information culture formation in BSW has been developed and implemented in Ukrainian universities under the following pedagogic conditions: organized informational environment; interconnection between general and professionally-directed courses; curriculum includes course directed on IC formation. The model contained interconnected components: aim - to achieve higher level of information culture formed; specific principles; content, interactive methods and forms of organization of educational process, methods of control and correction; components of information culture. The implemented mastered learning procedure has contributed to the leveling up of information culture formed in social work bachelors.

Wellness Prediction in Diabetes Mellitus Risks Via Machine Learning Classifiers

  • Saravanakumar M, Venkatesh;Sabibullah, M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.203-208
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    • 2022
  • The occurrence of Type 2 Diabetes Mellitus (T2DM) is hoarding globally. All kinds of Diabetes Mellitus is controlled to disrupt over 415 million grownups worldwide. It was the seventh prime cause of demise widespread with a measured 1.6 million deaths right prompted by diabetes during 2016. Over 90% of diabetes cases are T2DM, with the utmost persons having at smallest one other chronic condition in UK. In valuation of contemporary applications of Big Data (BD) to Diabetes Medicare by sighted its upcoming abilities, it is compulsory to transmit out a bottomless revision over foremost theoretical literatures. The long-term growth in medicine and, in explicit, in the field of "Diabetology", is powerfully encroached to a sequence of differences and inventions. The medical and healthcare data from varied bases like analysis and treatment tactics which assistances healthcare workers to guess the actual perceptions about the development of Diabetes Medicare measures accessible by them. Apache Spark extracts "Resilient Distributed Dataset (RDD)", a vital data structure distributed finished a cluster on machines. Machine Learning (ML) deals a note-worthy method for building elegant and automatic algorithms. ML library involving of communal ML algorithms like Support Vector Classification and Random Forest are investigated in this projected work by using Jupiter Notebook - Python code, where significant quantity of result (Accuracy) is carried out by the models.

Blockchain-based e-Agro Intelligent System

  • Srinivas, V. Sesha;Pompapathi, M.;Rao, G. Srinivasa;Chaitanya, Smt. M.
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.347-351
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    • 2022
  • Farmers E-Market is a website that allows agricultural workers to direct market their products to buyers without the use of a middleman. That theory is blockchain system will be used by authors to accomplish this. The system, which is built on a public blockchain system, supports sustainability, shippers, and consumers. Farmers can keep track of their farming activities. Customers can review the product's history and track its journey through carriers to delivery after making a purchase. Farmers are encouraged to get information about their interests promptly in a blockchain-enabled system like this. This functionality is being used by small-scale farmers to form groups based on their location to attract large-scale customers, renegotiate farming techniques or volumes, and enter into contracts with buyers. The analysis shows the use of blockchain technology with a farmer's portal that keeps the video of trading data of crops, taking into account the qualities of blockchain such as values and create or transaction data. The proposal merges python as a programming language with a blockchain system to benefit farmers, vendors, and individuals by preserving transactions.

Decision Tree Analysis for Prediction Model of Poverty of The Older Population in South Korea

  • Lee, Soochang;Kim, Daechan
    • International Journal of Advanced Culture Technology
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    • v.10 no.2
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    • pp.28-33
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    • 2022
  • This study aims to investigate factors that affect elderly poverty based on a comprehensive and universal perspective, suggesting some alternatives for improving the poverty rate of the elderly. The comprehensive and universal approach to the poverty of the aged that this study attempts can give a better understanding of the elderly poverty beyond the contribution of the existing literature, with the research model including individual, family, labor, and income factors as the causes of old-age poverty from the comprehensive and universal perspective on the causes of poverty of the elderly. In addition, the study attempts to input variants of variables into the equation for the causes of elderly poverty by using panel data from the 8th Korean Retirement and Income Study. This study employs decision tree analysis to determine the cause of the poverty of the elderly using CHAID. The decision tree analysis shows that the most vital variable affecting elderly poverty is making income. For the poor elderly without earned income, public pensions, educational careers, and residential areas influence elderly poverty, but for the poor elderly with earned income, wage earners and gender are variables that affect poverty. This study suggests some alternatives to improve the poverty rate of the aged. The government should create a better working environment such as senior re-employment for old people to be able to participate in economic activities, improve public pension or social security for workers with unfavorable conditions for public security of old age, and give companies that create employment of the aged diverse incentives.

Designing a Remote Electronic Irrigation and Soil Fertility Managing System Using Mobile and Soil Moisture Measuring Sensor

  • Asim Seedahmed Ali, Osman;Eman Galaleldin Ahmed, Kalil
    • International Journal of Computer Science & Network Security
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    • v.22 no.12
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    • pp.71-78
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    • 2022
  • Electronic measuring devices have an important role in agricultural projects and in various fields. Electronic measuring devices play a vital role in controlling and saving soil information. They are designed to measure the temperature, acidity and moisture of the soil. In this paper, a new methodology to manage irrigation and soil fertility using an electronic system is proposed. This is designed to operate the electronic irrigation and adds inorganic fertilizers automatically. This paper also explains the concept of remote management and control of agricultural projects using electronic soil measurement devices. The proposed methodology is aimed at managing the electronic irrigation process, reading the moisture percentage, elements of soil and controlling the addition of inorganic fertilizers. The system also helps in sending alert messages to the user when an error occurs in measuring the percentage of soil moisture specified for crop and a warning message when change happens to the fertility of soil as many workers find difficulty in daily checking of soil and operating agricultural machines such as irrigation machine and soil fertilizing machine, especially in large projects.

Breast Cancer Detection with Thermal Images and using Deep Learning

  • Amit Sarode;Vibha Bora
    • International Journal of Computer Science & Network Security
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    • v.23 no.8
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    • pp.91-94
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    • 2023
  • According to most experts and health workers, a living creature's body heat is little understood and crucial in the identification of disorders. Doctors in ancient medicine used wet mud or slurry clay to heal patients. When either of these progressed throughout the body, the area that dried up first was called the infected part. Today, thermal cameras that generate images with electromagnetic frequencies can be used to accomplish this. Thermography can detect swelling and clot areas that predict cancer without the need for harmful radiation and irritational touch. It has a significant benefit in medical testing because it can be utilized before any observable symptoms appear. In this work, machine learning (ML) is defined as statistical approaches that enable software systems to learn from data without having to be explicitly coded. By taking note of these heat scans of breasts and pinpointing suspected places where a doctor needs to conduct additional investigation, ML can assist in this endeavor. Thermal imaging is a more cost-effective alternative to other approaches that require specialized equipment, allowing machines to deliver a more convenient and effective approach to doctors.