• Title/Summary/Keyword: Five features

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Feature Analysis for Detecting Mobile Application Review Generated by AI-Based Language Model

  • Lee, Seung-Cheol;Jang, Yonghun;Park, Chang-Hyeon;Seo, Yeong-Seok
    • Journal of Information Processing Systems
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    • v.18 no.5
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    • pp.650-664
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    • 2022
  • Mobile applications can be easily downloaded and installed via markets. However, malware and malicious applications containing unwanted advertisements exist in these application markets. Therefore, smartphone users install applications with reference to the application review to avoid such malicious applications. An application review typically comprises contents for evaluation; however, a false review with a specific purpose can be included. Such false reviews are known as fake reviews, and they can be generated using artificial intelligence (AI)-based text-generating models. Recently, AI-based text-generating models have been developed rapidly and demonstrate high-quality generated texts. Herein, we analyze the features of fake reviews generated from Generative Pre-Training-2 (GPT-2), an AI-based text-generating model and create a model to detect those fake reviews. First, we collect a real human-written application review from Kaggle. Subsequently, we identify features of the fake review using natural language processing and statistical analysis. Next, we generate fake review detection models using five types of machine-learning models trained using identified features. In terms of the performances of the fake review detection models, we achieved average F1-scores of 0.738, 0.723, and 0.730 for the fake review, real review, and overall classifications, respectively.

A Robust Fingerprint Classification using SVMs with Adaptive Features (지지벡터기계와 적응적 특징을 이용한 강인한 지문분류)

  • Min, Jun-Ki;Cho, Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.35 no.1
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    • pp.41-49
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    • 2008
  • Fingerprint classification is useful to reduce the matching time of a huge fingerprint identification system by categorizing fingerprints into predefined classes according to their global features. Although global features are distributed diversly because of the uniqueness of a fingerprint, previous fingerprint classification methods extract global features non-adaptively from the fixed region for every fingerprint. We propose an novel method that extracts features adaptively for each fingerprint in order to classify various fingerprints effectively. It extracts ridge directional values as feature vectors from the region after searching the feature region by calculating variations of ridge directions, and classifies them using support vector machines. Experimental results with NIST4 database show that we have achieved a classification accuracy of 90.3% for the five-class problem and 93.7% for the four-class problem, and proved the validity of the proposed adaptive method by comparison with non-adaptively extracted feature vectors.

Performance Comparison of Korean Dialect Classification Models Based on Acoustic Features

  • Kim, Young Kook;Kim, Myung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.10
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    • pp.37-43
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    • 2021
  • Using the acoustic features of speech, important social and linguistic information about the speaker can be obtained, and one of the key features is the dialect. A speaker's use of a dialect is a major barrier to interaction with a computer. Dialects can be distinguished at various levels such as phonemes, syllables, words, phrases, and sentences, but it is difficult to distinguish dialects by identifying them one by one. Therefore, in this paper, we propose a lightweight Korean dialect classification model using only MFCC among the features of speech data. We study the optimal method to utilize MFCC features through Korean conversational voice data, and compare the classification performance of five Korean dialects in Gyeonggi/Seoul, Gangwon, Chungcheong, Jeolla, and Gyeongsang in eight machine learning and deep learning classification models. The performance of most classification models was improved by normalizing the MFCC, and the accuracy was improved by 1.07% and F1-score by 2.04% compared to the best performance of the classification model before normalizing the MFCC.

Association of Nose Size and Shapes with Self-rated Health and Mibyeong (코의 크기 및 형태와 자가건강, 미병과의 상관성)

  • Ahn, Ilkoo;Bae, Kwang-Ho;Jin, Hee-Jeong;Lee, Siwoo
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.6
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    • pp.267-273
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    • 2021
  • Mibyeong (sub-health) is a concept that represents the sub-health in traditional East Asian medicine. Assuming that the nose sizes and shapes are related to respiratory function, in this study, we hypothesized that the nose size and shape features are related to the self-rated health (SRH) level and self-rated Mibyeong severity, and aimed to assess this relationship using a fully automated image analysis system. The nose size features were evaluated from the frontal and profile face images of 810 participants. The nose size features consisted of five length features, one area feature, and one volume feature. The level of SRH and the Mibyeong severity were determined using a questionnaire. The normalized nasal height was negatively associated with the self-rated health score (SRHS) (partial ρ = -0.125, p = 3.53E-04) and the Mibyeong score (MBS) (partial ρ = -.172, p = 9.38E-07), even after adjustment for sex, age, and body mass index. The normalized nasal volume (ρ = -.105, p = 0.003), the normalized nasal tip protrusion length (ρ = -.087, p = 0.014), and the normalized nares width (ρ = -.086, p = .015) showed significant correlation with the SRHS. The normalized nasal area (ρ = -.118, p = 0.001), the normalized nasal volume (ρ = -.107, p = .002) showed significant correlation with the MBS. The wider, longer, and larger the nose, the lower the SRHS and MBS, indicating that health status can be estimated based on the size and shape features of the nose.

Clinicoradiological Characteristics in the Differential Diagnosis of Follicular-Patterned Lesions of the Thyroid: A Multicenter Cohort Study

  • Jeong Hoon Lee;Eun Ju Ha;Da Hyun Lee;Miran Han;Jung Hyun Park;Ji-hoon Kim
    • Korean Journal of Radiology
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    • v.23 no.7
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    • pp.763-772
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    • 2022
  • Objective: Preoperative differential diagnosis of follicular-patterned lesions is challenging. This multicenter cohort study investigated the clinicoradiological characteristics relevant to the differential diagnosis of such lesions. Materials and Methods: From June to September 2015, 4787 thyroid nodules (≥ 1.0 cm) with a final diagnosis of benign follicular nodule (BN, n = 4461), follicular adenoma (FA, n = 136), follicular carcinoma (FC, n = 62), or follicular variant of papillary thyroid carcinoma (FVPTC, n = 128) collected from 26 institutions were analyzed. The clinicoradiological characteristics of the lesions were compared among the different histological types using multivariable logistic regression analyses. The relative importance of the characteristics that distinguished histological types was determined using a random forest algorithm. Results: Compared to BN (as the control group), the distinguishing features of follicular-patterned neoplasms (FA, FC, and FVPTC) were patient's age (odds ratio [OR], 0.969 per 1-year increase), lesion diameter (OR, 1.054 per 1-mm increase), presence of solid composition (OR, 2.255), presence of hypoechogenicity (OR, 2.181), and presence of halo (OR, 1.761) (all p < 0.05). Compared to FA (as the control), FC differed with respect to lesion diameter (OR, 1.040 per 1-mm increase) and rim calcifications (OR, 17.054), while FVPTC differed with respect to patient age (OR, 0.966 per 1-year increase), lesion diameter (OR, 0.975 per 1-mm increase), macrocalcifications (OR, 3.647), and non-smooth margins (OR, 2.538) (all p < 0.05). The five important features for the differential diagnosis of follicular-patterned neoplasms (FA, FC, and FVPTC) from BN are maximal lesion diameter, composition, echogenicity, orientation, and patient's age. The most important features distinguishing FC and FVPTC from FA are rim calcifications and macrocalcifications, respectively. Conclusion: Although follicular-patterned lesions have overlapping clinical and radiological features, the distinguishing features identified in our large clinical cohort may provide valuable information for preoperative distinction between them and decision-making regarding their management.

Fashion Design Studies on Reinterpretation of Chinese Ethnic Minority Costumes (중국 소수민족의 의상을 재해석한 패션디자인 연구)

  • Zhang, Yi;Kim, Sook-Jin
    • Journal of the Korea Fashion and Costume Design Association
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    • v.13 no.2
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    • pp.175-183
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    • 2011
  • Based on an investigation of Miao ethnic group costumes, this research focuses on redesigning and reinterpreting of the Miao costume. The results are summarized as follows. According to the constitution of the clothes, the decorative parts and the way people wear them, women's clothing can be divided into five categories: Sangseohyeong, Geomjungnamhyeong A, Geomjungnamhyeong B, Cheongeomjeonhyeong, Haenamhyeong. Miao consists of straight lines with creases for both skirts and trousers. With the excess part of the belt or apron, X-shape and H-shape are formed. There are three basic decorative patterns: geometric patterns, animal patterns and plant patterns. In addition, there are three color values: warm, cool and dark. Silver Jewelry plays such an important role in the Miao Costume that the process of the production is also very special for the Chinese national dress. According to the features of the five types of Miao, then redesign and re-interpreted of them.

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Rule set of object-oriented classification using Landsat imagery in Donganh, Hanoi, Vietnam

  • Thu, Trinh Thi Hoai;Lan, Pham Thi;Ai, Tong Thi Huyen
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_2
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    • pp.521-527
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    • 2013
  • Rule set is an important step which impacts significantly on accuracy of object-oriented classification result. Therefore, this paper proposes a rule set to extract land cover from Landsat Thematic Mapper (TM) imagery acquired in Donganh, Hanoi, Vietnam. The rules were generated to distinguish five classes, namely river, pond, residential areas, vegetation and paddy. These classes were classified not only based on spectral characteristics of features, but also indices of water, soil, vegetation, and urban. The study selected five indices, including largest difference index max.diff; length/width; hue, saturation and intensity (HSI); normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) based on membership functions of objects. Overall accuracy of classification result is 0.84% as the rule set is used in classification process.

Synoptic Weather Patterns and Variation of Ozone Concentrations Association with High Ozone Days at Five Major Cities in Korea (고농도 오존이 발생하는 날의 종관 기상 패턴과 주요 5대 도시별 오존 농도 변화)

  • 김유라;윤일희;김희종
    • Journal of Environmental Science International
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    • v.10 no.6
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    • pp.437-444
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    • 2001
  • The characteristic features of surface ozone concentration and the forecasting procedure of high ozone days have been studied. The ozone concentration was continuously measured during 3 years (1997~1999) at air quality monitoring stations in five major cities in Korea. The diurnal variation of surface ozone concentration on high ozone days is characterized by low ozone concentration at night. The ozone concentration Increases continuously after sunrise, In reach a peak at 1500~1600 LST. Thereafter it decreases steadily to a low concentration at sunset. The diurnal and annual maximum of the surface ozone concentration at Seoul were observed in May and June, respectively. The favorable synoptic condition for the high ozone day is divided into 4 different synoptic weather patterns: a high-pressure system from the Sea of Okhotsk, the Pacific subtropical high extending westward, a moving high-pressure system covering the Korean peninsula. and a synoptic system In front of a typhoon. Most of high ozone days occur under the high pressure system in Korea.

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Polymelia with an extra forelimb at the thoracic regioo in Korean native calf (한우(韓牛) 송아지의 흉부(胸部)에 여분의 전지(前肢)가 부착(附着)된 다지기형(多肢畸形))

  • Kim, Chong-sup;Huh, Chan-kwen;Chung, Hyon-sik;Kim, Jin-gu
    • Korean Journal of Veterinary Research
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    • v.33 no.1
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    • pp.1-5
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    • 1993
  • An abnormal female Korean native calf at five months age with five legs was observed macroscopically and radiographically. External features included two normal forelimbs, and hindlimbs, and an abnormal forelimb which was underdeveloped. A rudimentary forelimb, which was attached to the pectoral region, was observed at the right axillary part. The extra forelimb was scapural and humeral meromelia. It consisted of an underdeveloped forearm (antebrachium), several carpal bones (three bones), large metacarpal bone (Mc. 3 + 4), and two digits with two hoofs. The proximal, middle and distal phalanges, proximal and distal sesamoid bones are normal.

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A Case Study on Operation Practices of ISO 9000:2000 Quality Management System (ISO 9001 : 2000 품질경영시스템 운영에 관한 조사연구)

  • Kim, Ho-Gyun;Park, Dong-Jun;Gang, Byeong-Hwan
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.71-74
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    • 2004
  • The organizations registered ISO 9000:1994 have upgraded to ISO 9001:2000 family through transition period by December, 2003. Some features of ISO 9001:2000 family are that it merged three ISO 9000 series, reduced 20 requirements to five major clauses, and focused on Plan-Do-Check-Act improvement cycle. We interviewed quality managers and staffs of 37 companies certified ISO 9001:2000 in Busan and Kyungnam provinces where most machine, metalwork, and manufacturing companies in South Korea are located. Using statistical analysis, we find out which status of firms are related with the requirements of five clauses. We also discover if there is any difference in performing the requirements depending on top managership, reasons for seeking ISO 9001:2000 certification, and ISO 9001:2000 operating period.

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