• Title/Summary/Keyword: Artificial individuals

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A Study on the Development of a Chatbot Using Generative AI to Provide Diets for Diabetic Patients

  • Ha-eun LEE;Jun Woo CHOI;Sung Lyul PARK;Min Soo KANG
    • Korean Journal of Artificial Intelligence
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    • v.12 no.3
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    • pp.25-31
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    • 2024
  • The purpose of this study is to develop a sophisticated web-based artificial intelligence chatbot system designed to provide personalized dietary service for diabetic patients. According to a 2022 study, the prevalence of diabetes among individuals over 30 years old was 15.6% in 2020, identifying it as a significant societal issue with an increasing patient population. This study uses generative AI algorithms to tailor dietary recommendations for the elderly and various social classes, contributing to the maintenance of healthy eating habits and disease prevention. Through meticulous fine-tuning, the learning loss of the AI model was significantly reduced, nearing zero, demonstrating the chatbot's potential to offer precise dietary suggestions based on calorie intake and seasonal variations. As this technology adapts to diverse health conditions, ongoing research is crucial to enhance the accessibility of dietary information for the elderly, thereby promoting healthy eating practices and supporting disease prevention.

Comparative analysis of US and China artificial intelligence patents trends

  • Kim, Daejung;Jeong, Joong-Hyeon;Ryu, Hokyoung;Kim, Jieun
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.1
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    • pp.25-32
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    • 2019
  • With the rapid development of artificial intelligence technology, the patenting activities related to the fields of AI is increasing worldwide. In particular, a share of patent filed in China has exploded in recent years and overtakes the numbers in the US. In the present study, we focus our attention on the patenting activity of China and the US. We analyzed 6,281 and 13,664 patent applications in the US and China respectively between 2008 and 2018, and belonging to the "G06F(Electric Digital Data Processing)", "G06N(Computer Systems Based on Specific Computational Models)", "H04L(Transmission of Digital Information)" and nine more relevant technological classes, as indicated by the International Patent Classification(IPC). Our analysis contributes to: first, the understanding of patent application trends from foreign countries filed in the US and China, 2) patent application status by applicants category such as companies, universities and individuals, 3) the development direction and forecasting vacant technology of AI according to main IPC code. Through the analysis of this paper, we can suggest some implications for patent research related to artificial intelligence in Korea. Plus, by analyzing the most recent patent data, we can provide important information for future artificial intelligence technology research.

Exploring the Feasibility of Neural Networks for Criminal Propensity Detection through Facial Features Analysis

  • Amal Alshahrani;Sumayyah Albarakati;Reyouf Wasil;Hanan Farouquee;Maryam Alobthani;Someah Al-Qarni
    • International Journal of Computer Science & Network Security
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    • v.24 no.5
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    • pp.11-20
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    • 2024
  • While artificial neural networks are adept at identifying patterns, they can struggle to distinguish between actual correlations and false associations between extracted facial features and criminal behavior within the training data. These associations may not indicate causal connections. Socioeconomic factors, ethnicity, or even chance occurrences in the data can influence both facial features and criminal activity. Consequently, the artificial neural network might identify linked features without understanding the underlying cause. This raises concerns about incorrect linkages and potential misclassification of individuals based on features unrelated to criminal tendencies. To address this challenge, we propose a novel region-based training approach for artificial neural networks focused on criminal propensity detection. Instead of solely relying on overall facial recognition, the network would systematically analyze each facial feature in isolation. This fine-grained approach would enable the network to identify which specific features hold the strongest correlations with criminal activity within the training data. By focusing on these key features, the network can be optimized for more accurate and reliable criminal propensity prediction. This study examines the effectiveness of various algorithms for criminal propensity classification. We evaluate YOLO versions YOLOv5 and YOLOv8 alongside VGG-16. Our findings indicate that YOLO achieved the highest accuracy 0.93 in classifying criminal and non-criminal facial features. While these results are promising, we acknowledge the need for further research on bias and misclassification in criminal justice applications

A Comparative Study of Male Gonadal Development between Wild and Cultured Yellow Catfish, Pseudobagrus fulvidraco (자연산과 양식산 동자개 Pseudobagrus fulvidraco 정소의 생식소발달 비교 연구)

  • Cho, Yun Jeong;Yoo, Soo Hyang;Park, Cheol Woo;Kim, Jong Wook;Kim, Jae Goo;Park, Jong Young
    • Korean Journal of Ichthyology
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    • v.32 no.3
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    • pp.130-135
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    • 2020
  • Male gonadal development of the yellow catfish, Pseudobagrus fulvidraco, one of the most popular fish species in Korean aquaculture performance, was investigated by histological observation of monthly collected specimens to make comparisons between wild and cultured individuals. Their reproductive cycle was classified into the successive developmental stages as follows: a growing stage (April), a spawning stage (May), a degeneration stage (June to July), and a resting stage (August to October) in the wild and outdoor-cage individuals; a growing stage (April to June), a spawning stage (July to August), a degeneration stage (September), and a resting stage (October) in the indoor-cage ones. Values of gonadosomatic index (GSI) of wild and outdoor cages peaked in May, followed by a sudden decline in August~September and June~August, respectively. In contrast, GSI values of the indoor-cage individuals peaked in September and were followed by a sudden drop. Remarkable seasonal variation in condition factor (CF) was undetectable, peaking in June in the wild-cage individuals and November in the wild ones. Overall, our results suggest that it is suitable to use the male of the outdoor-cage individuals for artificial fertilization and that it is efficient to perform artificial fertilization in May, such as reproductive cycle of wild.

Genetic control of shell color variation in the Haliotis discus hannai by mating experiments (교배실험을 통한 북방전복 (Haliotis discus hannai)의 패각색 변이에 대한 유전적 지배)

  • Park, Choul Ji;Nam, Won Shik;Lee, Myeong Seok;Kang, Ji-Yun;Kim, Kyung Kil
    • The Korean Journal of Malacology
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    • v.30 no.4
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    • pp.409-413
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    • 2014
  • Purple-colored shell individuals were discovered among normal green-colored shell individuals in artificial seed of Pacific abalone, Haliotis discus hannai, reared on an ordinary type of diatom and artificial diet. In the present study, factorial mating experiments were designed to clarify the genetic control of the variant (purple type) and normal (green type) of shell color. The parental population of purple type and green type individuals were derived from a single family between a female and male of each type of coloration. The all mating families were reared in same tank for the same breed environment. The individual of 4 type families were distinguished by paternity test using microsatellite DNA. In factorial mating experiments, all individuals offspring of GG (green type female and green type male), GP (green type female and purple type male) and PG (purple type female and green type male) mating types appeared to green type. In only PP (purple type female and purple type male) mating type, all individuals offspring appeared to purple type. The results suggested that the purple shell color is controlled by recessive purple type allele and a dominant green type allele at a single locus.

Usage of Waterbirds on the Artificial Floating Islands in Reservoir using UAV (무인항공기를 활용한 저수지 인공식물섬 조류 이용현황 분석)

  • Kim, Kyeong-Tae;Kim, Young;Kim, Hye-Joung;Kim, Seoung-Yeal;Kim, Whee-Moon;Song, Won-Kyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.22 no.5
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    • pp.57-67
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    • 2019
  • Water-Birds are the birds that occupy the highest proportion in Korea, inland wetlands and reservoirs provide them with a good environment as habitat, but their habitats have been losing because of thoughtless development. Therefore, artificial plant islands in reservoirs are important for improving habitat environment and providing food resources. However, there are no research and standards on the built and management of artificial plant islands. So this study is to find out the density of bird using artificial plant island as habitat through monitoring using UAV focus on the Cheonho-reservoirs located in Seobuk-gu, Cheonan-si(Middle Chungcheong Province). Further, the correlation analysis with environmental factors was conducted to determine the effect of artificial plant islands as habitats for water-birds. The supervised classification of the three-time images taken by the drone identified 244 white-billed ducks and 46 mandarin ducks. The utilization rate was different for each photographed date, and more individuals were identified in wet artificial plant islands than dry ones. As a result of analyzing the utilization follow environmental factors, the distance from the trail showed a significant correlation, and the other factors did not have a statistically significant effect. This study is the first case of the UAV monitoring method of the water-birds using artificial plant islands in the reservoir, and can be used as the basic data for the built and management.

Regeneration of Pinus densiflora Commuity around that Yeocheon Industrial Complex Disturbed by Air Pollution (대기오염으로 교란된 여천공단 주변 소나무군락의 재생)

  • Lee, chang Seok
    • The Korean Journal of Ecology
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    • v.16 no.3
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    • pp.305-316
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    • 1993
  • Stands profiles, yearly changes in growth of annual rings, age and diameter structure, and spatial distribution pattern of individuals in the Pinus densiflora stands around the Yeocheon industrial complex were investigated. Growth of annual ring in Pinus densiflora, which survived when vegetation of this area was damaged by air pollutants, was suppressed for about 10 years since 1974 when factories in this area began to operate, but since then such suppressed growth tended to be recovered. It was supposed that the suppresed growth was originated from air pollution and that improvement of growth since the suppressed period was due to the release from competition with them by death of neighbouring trees and the resuction of the amount of air pollutants. Physiognomy of Pinus densiflora stands showed mosaic pattern composed of different patches. Spatial distribution pattern of individuals an stand profiles were similar to those of Pinus densiflora stands regenerated after natural and artificial disturbances. In an age distribution diagram, age of Pinus densiflora population ranged from 1 to 33 years, Among these individuals were recrited corresponded to the suppresed period of growth of annual ring in Pinus densiflora survived when the vegetation was damaged by air pollution. On the other hand, from the result of analysis of frequency distribution diagram of diameter, it was postulated that even if whis Pinus densiflora community can be maintained as it is for the time being, it might be changed to Quercus community with the lapse of time.

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Affective Computing Among Individuals in Deep Learning

  • Kim, Seong-Kyu (Steve)
    • Journal of Multimedia Information System
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    • v.7 no.2
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    • pp.115-124
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    • 2020
  • This paper is a study of deep learning among artificial intelligence technology which has been developing many technologies recently. Especially, I am talking about emotional computing that has been mentioned a lot recently during deep learning. Emotional computing, in other words, is a passive concept that is dominated by people who scientifically analyze human sensibilities and reflect them in product development or system design, and a more active concept that studies how devices and systems understand humans and communicate with people in different modes. This emotional signal extraction, sensitivity, and psychology recognition technology is defined as a technology to process, analyze, and recognize psycho-sensitivity based on micro-small, hyper-sensor technology, and sensitive signals and information that can be sensed by the active movement of the autonomic nervous system caused by human emotional changes in everyday life. Chapter 1 talks about overview and Chapter 2 shows related research. Chapter 3 shows the problems and models of real emotional computing and Chapter 4 shows this paper as a conclusion.

A Case Report of Huge Oral Verrucous Carcinoma in Oral Cavity

  • Kim, Jae-Jin
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.35 no.1
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    • pp.45-48
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    • 2009
  • Verrucous carcinoma is a distinctive form of low-grade squamous cell carcinoma. The tumor has an exophytic, cauliflower-like appearance, and usually occurs in males and tends to affect individuals over 60 years of age. It typically involves the oral cavity, larynx, esophagus and skin. Most intraoral cases involve the mandibular vestibule, the buccal mucosa and the hard palate. The cause is unknown, but most verrucous carcinomas arise from the oral mucosa in people who chronically use chewing tobacco or snuff. The treatment of oral verrucous carcinoma remains controversial. Whenever possible, surgically total excision and skin or mucosal grafting is recommended. After total excision of huge verrucous carcinoma,instead of dermal or mucosal grafting, we used artificial dermis silicone membrane. We had a good result without recurrence and present this case.

Effects of habitat conditions in created wetlands on sustaining wintering waterfowl in riverine plains, Nakdong River, South Korea

  • Choi, Jong-Yun;Jang, Ji-Deok;Jeong, Kwang-Seuk;Joo, Gea-Jae
    • Journal of Ecology and Environment
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    • v.38 no.3
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    • pp.343-352
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    • 2015
  • The landscape setting of a habitat strongly influences the distribution, abundance, and species composition of waterfowl. Thus, habitat assessment is very important to understand the habitat characteristics that sustain waterfowl assemblages. In this study, we hypothesized that the excessive use of artificial materials when new wetlands are constructed negatively influences wintering waterfowl. To test this hypothesis, we measured environmental factors, assessed habitat, and investigated waterfowl at 13 artificial wetlands in the Nakdong River Basin. There were greater numbers of waterfowl species and individuals in artificial wetlands with high habitat assessment scores. In contrast, environmental factors did not affect waterfowl distribution. In particular, features of natural habitats, such as macrophytes and sandbars, and the surrounding land-use patterns were important factors for sustaining waterfowl assemblages in each created wetland. Our results show that promoting naturalness in wetlands and surrounding areas would increase the species diversity and abundance of waterfowl. Further, complex habitats, such as wetlands and some terrestrial habitats, support both aquatic and terrestrial species because mixed habitats feature a larger array of food sources than more limited habitats do.