The Integration of Computer Systems into the expansive field of Video Games

Africa, Aaron Don M.; Espiritu, Francis Miguel M.; Lontoc, Christian Rodel V.; Mendez, Roger Jayson M.

doi:10.30534/ijatcse/2019/22842019

Cited by 8 publications

(9 citation statements)

References 12 publications

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“…Several studies have proposed and presented various methods for more accurate fruit detection and classification. Programs can be created to simulate its algorithms like computer vision systems [18,19,20,21]. This paper was able to enumerate some of the most widely used and proven-effective methods such as deep learning, image illumination, faster-CNN, and the use of the gas chromatographic system in detecting ethylene gas.…”

Section: Discussionmentioning

confidence: 99%

Ripe Fruit Detection and Classification using Machine Learning

Africa¹

2020

IJETER

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One of the most important sectors in any country is the agricultural sector. However, in some countries, farmers and fishermen have limited technology compared to other developed countries. One of the effects of limited technology is the low quality of crops, fruits, and vegetables. This is because the quality of the products is only assessed depending on external factors like appearance, shape, color, and texture, which can be prone to human error. Determining the quality and ripeness level of fruit requires consistency, which can be hard and tedious for humans when it becomes repetitive work. This paper aims to present various methods and approaches on how ripe fruit detection and classification can be made easier and more convenient using machine learning and machine vision algorithms. Furthermore, this study presents systems that can be utilized in pre and post-harvest analysis. This paper aims to provide solutions using computer applications to help farmers have lesser manual labor yet more accurate data and results in the evaluation of crops.

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Section: Discussionmentioning

confidence: 99%

Ripe Fruit Detection and Classification using Machine Learning

Africa¹

2020

IJETER

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“…Aside from all users of computer systems, this study also aims at specific professional fields such as computer-related professionals. Computer engineers and scientists must know the logic behind the programs that a computer system runs [10,11]. This logic may still be confusing once becoming a professional.…”

Section: Significance Of the Studymentioning

confidence: 99%

“…Artificial intelligence and the cognitive sciences are developed through the rough set theory. Some of the main advantages of this theory are that it provides both sufficient and productive methods and algorithms in solving problems and analyzing the problem given the data supplied [12].…”

Section: Review Of Related Literaturementioning

confidence: 99%

Understanding Logical Reasoning Through Computer Systems

Africa¹

2020

IJETER

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This academic research aims to expand the understanding of logical reasoning in computer systems. As applications innovate over time, modern technological innovations have created computer software which makes it possible to carry out day-to-day chores with a click of a button. Being in a computer engineering field, it is vital to obtain a logical sense of reasoning to be resourceful and establish technological solutions. Through innovation and advancements in technology, application developers have continued to lend an extended hand of ease into progression. This hand of ease is marked through applications that offer convenience. The components to obtain a logical application are the sensor, rough set theories, spatial images, and artificial intelligence.

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“…Smartphones are often used as a means of entertainment, one of which is to play games. Initially, people assume that the game only gives negative impact on youngsters by violence and exposing hostile characters [13], but today its development reveals other uses of the game such as the means of learning (edugame), the media expresses a variety of creativity by various individuals, business land, simulations, and e-sports [10], [14], [15], [16]. The learning media in the form of an android application is chosen as an alternative, in addition to its progressiveness it has also become a necessity that is used in any activities [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Edugame Application as Vocabulary Learning Media for Deaf Children

Sudarmilah¹

2020

IJATCSE

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Reading activity has tremendous impacts and benefits in sharpening and increasing one's intelligence. Each individual is entitled to the opportunity to be able to read, both those who are normal and those who have disabilities, such as the one with hearing impairment or deaf. Hearing impediment often causes a setback or even loss of speech because the sufferer has a deficiency or loss of hearing ability either partial or total. The problem encountered by the deaf person breeds the idea of developing learning applications for people with disabilities especially children. This research aims to make it easier for children to understand and foster vocabulary acquisition as well as to develop children's motivation in the learning process as this learning media is designed with an attractive and interactive interface. Edugame application which emphasized an android-based visual form was established as a support to the development of children's speech and reading skills. The development method used in designing this application is the prototyping model which consists of the needs analysis, prototype design, prototype evaluation, program writing/coding, program testing, program evaluation, and implementation. Edugame as vocabulary learning media for deaf children promotes an interesting and interactive learning process to improve children's understanding of words in learning vocabulary. The results of the black box testing, pre-test and post-test, paired sample t-test, SUS, and Aiken V revealed that all the results were valid, so it could be concluded that there were significant differences (real) before and after the use of the application in the learning process.

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The Integration of Computer Systems into the expansive field of Video Games

Cited by 8 publications

References 12 publications

Ripe Fruit Detection and Classification using Machine Learning

Ripe Fruit Detection and Classification using Machine Learning

Understanding Logical Reasoning Through Computer Systems

Edugame Application as Vocabulary Learning Media for Deaf Children

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