• Title/Summary/Keyword: Profile Classification

Search Result 255, Processing Time 0.027 seconds

Comparison of External Information Performance Predicting Subcellular Localization of Proteins (단백질의 세포내 위치를 예측하기 위한 외부정보의 성능 비교)

  • Chi, Sang-Mun
    • Journal of KIISE:Software and Applications
    • /
    • v.37 no.11
    • /
    • pp.803-811
    • /
    • 2010
  • Since protein subcellular location and biological function are highly correlated, the prediction of protein subcellular localization can provide information about the function of a protein. In order to enhance the prediction performance, external information other than amino acids sequence information is actively exploited in many researches. This paper compares the prediction capabilities resided in amino acid sequence similarity, protein profile, gene ontology, motif, and textual information. In the experiments using PLOC dataset which has proteins less than 80% sequence similarity, sequence similarity information and gene ontology are effective information, achieving a classification accuracy of 94.8%. In the experiments using BaCelLo IDS dataset with low sequence similarity less than 30%, using gene ontology gives the best prediction accuracies, 93.2% for animals and 86.6% for fungi.

Validation of Sasang Personality Questionnaire (SPQ) with Positive and Negative Affection Schedule and Body Mass Index (PANAS, BMI를 사용한 사상성격검사(SPQ)의 타당화 연구)

  • Chae, Han;Lee, Soo-Jin;Park, Soo-Hyun;Jang, Eun-Su;Lee, Si-Woo
    • Journal of Sasang Constitutional Medicine
    • /
    • v.24 no.2
    • /
    • pp.39-46
    • /
    • 2012
  • 1. Objectives : The purpose of this study was to validate the Sasang Personality Questionnaire (SPQ) with Positive And Negative Affection Schedule(PANAS) for emotionality and Body Mass Index (BMI) for body constituents. 2. Methods : The SPQ along with Questionnaire for Sasang Constitution Classification (QSCC) II, PANAS, BMI was measured with 232 College students. The correlation coefficient was measured with Pearson correlation between SPQ and PANAS, BMI. The SPQ, PANAS, and BMI score of each Sasang constitution groups based on QSCCII were compared using analysis of variance and profile analysis. 3. Results : The SPQ score of each Sasang constitution groups was significantly (p<0.01) different. The SPQ showed significant correlation with PANAS Positive Affect (r=0.201, p=0.002), but not with the BMI (r=0.097, p=0.146). The SPQ-Emotionality scale, unlike other SPQ subscales, showed positive correlation with PANAS Negative Affection. 4. Conclusions : We performed the constructive validity of SPQ using PANAS and BMI. The SPQ would be useful for the study on psychophysiological mechanism of the Sasang constitutions.

Inspection for Inner Wall Surface of Communication Conduits by Laser Projection Image Analysis (레이저 투영 영상 분석에 의한 통신 관로 내벽 검사 기법)

  • Lee Dae-Ho
    • Journal of Korea Multimedia Society
    • /
    • v.9 no.9
    • /
    • pp.1131-1138
    • /
    • 2006
  • This paper proposes a novel method for grading of underground communication conduits by laser projection image analysis. The equipment thrust into conduit consists of a laser diode, a light emitting diode and a camera, the laser diode is utilized for generating projection image onto pipe wall, the light emitting diode for lighting environment and the image of conduit is acquired by the camera. In order to segment profile region, we used a novel color difference model and multiple thresholds method. The shape of profile ring is represented as a minimum diameter and the Fourier descriptor, and then the pipe status is graded by the rule-based method. Both local and global features of the segmented ring shaped, the minimum diameter and the Fourier descriptor, are utilized, therefore injured and distorted pipes can be correctly graded. From the experimental results, the classification is measured with accuracy such that false alarms are less than 2% under the various conditions.

  • PDF

Concept Network-based Personalized Web Search Systems (개념 네트워크 기반 사용자 인지형 웹 검색 시스템)

  • Yune, Hong-June;Noh, Joon-Ho;Kim, Han-Joon;Lee, Byung-Jeong;Kang, Soo-Yong;Chang, Jae-Young
    • Journal of Internet Computing and Services
    • /
    • v.12 no.2
    • /
    • pp.63-73
    • /
    • 2011
  • In general, conventional search engines provide the same search results for the same queries of users, and however such techniques do not consider users' characteristics. To overcome this problem, we need a new way of personalized search which returns customized search results according to users' preference. In this paper, we propose a concept network profile-based personalized web search system in which the concept network is developed for accumulating users' characteristics. The concept network-based user profile is used to expand initial search queries to achieve personalized search. The concept network is a network structure of concepts where each concept is generated whenever each query is submitted, and it can be defined as a set of keywords extracted from the selected documents. Furthermore, we have improved the concept networks by augmenting intent keywords of each concept with a set of classification tags, called folksonomy, assigned to each document. For an additional personalized search technique, we propose a new re-ranking method that analayzes the degree of overlapped search results.

Comparison of Surgical Outcomes of Laparoscopic Adrenalectomy Between Patients With Nonfunctioning Adrenal Adenomas and Subclinical Cushing Syndrome: A Single-Center Experience

  • Kang, Minyong;Baek, Minki;Lee, Jonghoon;Jeong, Byong Chang
    • The Korean Journal of Urological Oncology
    • /
    • 제15권3호
    • /
    • pp.137-142
    • /
    • 2017
  • Purpose: To examine and compare the perioperative outcomes of laparoscopic adrenalectomy (LA) and to determine its efficacy in patients with nonfunctioning adrenal adenomas (NFA) and subclinical Cushing syndrome (SCS). Materials and Methods: We retrospectively analyzed the clinical data obtained from 79 consecutive patients who underwent LA for the treatment of either NFA (n=35) or SCS (n=44) between 2011 and 2016. All patients had undergone computed tomography, as well as endocrinological tests to confirm the diagnosis prior to the adrenalectomy. The primary endpoint was improved metabolic parameters relating to diabetes, hypertension, dyslipidemia, and obesity. Results: Patients with SCS compared to those with NFA showed a higher occurrence of diabetes (29.5% vs. 11.4%), hypertension (59.1% vs. 34.3%), and dyslipidemia (43.2% vs. 14.3%). Patients with SCS showed a smaller median tumor size compared to those with NFA (2.5 cm vs. 5 cm). No significant perioperative complications ${\geq}$ Clavien-Dindo classification grade III were observed in any patient (SCS or NFA group). In terms of their metabolic profile, patients with SCS showed a significant postoperative improvement in hypertension (50.0%), diabetes (53.9%), dyslipidemia (31.6%), and obesity (29.2%). However, patients with NFA showed a postoperative improvement only in dyslipidemia (40.0%) and obesity (4.8%). Conclusions: Owing to absence of significant perioperative complications and the marked postoperative improvement in metabolic impairment, LA is a useful treatment strategy in patients diagnosed with SCS. In contrast, LA was not observed to show beneficial effects in correcting/improving the metabolic profile in patients presenting with NFA.

Classifying Latent Profiles in the Exposure to Hazard Factors of Salaried Employees (잠재프로파일분석을 통한 임금근로자의 위험요인 노출 유형분류 및 영향요인 검증)

  • Lee, Eunjin;Hong, Sehee
    • Journal of Korean Society of Occupational and Environmental Hygiene
    • /
    • v.31 no.3
    • /
    • pp.237-254
    • /
    • 2021
  • Objectives: This study aims to classify the latent profiles in the exposure to hazard factors of salaried employees and test the determinants. Methods: Latent profile analysis(LPA) was conducted using data from the fifth Korean Working Conditions Survey(KWCS). 30,050 of salaried employees were the subjects of this study. After classifying the employees, multinomial logistic regression was used to test the determinants. Results: Salaried employees were classified with three latent profiles based on the exposure to the hazard factors. Employees included in class 1(32.8%) tend to experience low level of physical hazard factors, moderate level of psychological hazard factors, and high level of office work hazard factors. Employees included in class 2(61.8%) tend to be exposed to the moderate to high level of physical hazard factors, moderate to low level of psychological hazard factors, and low level of office work hazard factors. Employees included in class 3(5.4%) tend to experience high level of psychological and physical hazard factors, and moderate level of office work hazard factors. After classification, the demographic, health-, and employment-related variables were tested. Conclusions: This study clarified the features of each class, and proved that employees in class 3 are quite hazardous in that they are exposed to physical and psychological hazard factors much more frequently than other employees. Thus, this study can be used in predicting the high-risk employees and taking preemptive measures for preventing industrial accidents.

A Proposition of Site Coefficients and Site Classification System for Design Ground Motions at Inland of the Korean Peninsula (국내 내륙의 설계 지반 운동 결정을 위한 지반 증폭 계수 및 지반 분류 체계 제안)

  • Sun Chang-Guk;Chung Choong-Ki;Kim Dong-Soo
    • Journal of the Korean Geotechnical Society
    • /
    • v.21 no.6
    • /
    • pp.101-115
    • /
    • 2005
  • For the site characterization at two inland areas, Gyeongju and Hongsung, which represent geomorphic and geologic characteristics of inland region in Korea, in-situ seismic tests containing borehole drilling investigations and resonant column tests were peformed and site-specific seismic response analyses were conducted using equivalent linear as well as nonlinear scheme. The soil deposits in Korea were shallower and stiffer than those in western US, from which the site coefficients and site classification system in Korea were derived. Most sites were categorized as site classes C and D based on the mean shear wave velocity $(V_s)$ of the upper 30 m $(V_s30)$, ranging between 250 and 650 m/s. According to the acceleration response spectra determined from the site response analyses, the site coefficients specified in the current Korean seismic design guide underestimate the ground motion in the short-period band and overestimate the ground motion in mid-period band. These differences can be explained by the differences in the bedrock depth and the soil stiffness profile between Korea and western US. The site coefficients, $F_a$ for short-period and $F_v$ for mid-period, were re-evaluated and the site classification system, in which sites C and D were subdivided according to $V_s20,\;V_s15,\;and\;V_s10$ together with the existing $V_s30$ was introduced accounting for the local geologic conditions at inland region of the Korean peninsula. The proposed site classification system in this paper is still rudimentary and requires modification.

A Study on the Development of Topographical Variables and Algorithm for Mountain Classification (산지 경계 추출을 위한 지형학적 변수 선정과 알고리즘 개발)

  • Choi, Jungsun;Jang, Hyo Jin;Shim, Woo Jin;An, Yoosoon;Shin, Hyeshop;Lee, Seung-Jin;Park, Soo Jin
    • Journal of The Geomorphological Association of Korea
    • /
    • v.25 no.3
    • /
    • pp.1-18
    • /
    • 2018
  • In Korea, 64% of the land is known as mountain area, but the definition and classification standard of mountain are not clear. Demand for utilization and development of mountain area is increasing. In this situation, the unclear definition and scope of the mountain area can lead to the destruction of the mountain and the increase of disasters due to indiscreet permission of forestland use conversion. Therefore, this study analyzed the variables and criteria that can extract the mountain boundaries through the questionnaire survey and the terrain analysis. We developed a mountain boundary extraction algorithm that can classify topographic mountain by using selected variables. As a result, 72.1% of the total land was analyzed as mountain area. For the three catchment areas with different mountain area ratio, we compared the results with the existing data such as forestland map and cadastral map. We confirmed the differences in boundary and distribution of mountain. In a catchment area with predominantly mountainous area, the algorithmbased mountain classification results were judged to be wider than the mountain or forest of the two maps. On the other hand, in the basin where the non-mountainous region predominated, algorithm-based results yielded a lower mountain area ratio than the other two maps. In the two maps, we was able to confirm the distribution of fragmented mountains. However, these areas were classified as non-mountain areas in algorithm-based results. We concluded that this result occurred because of the algorithm, so it is necessary to refine and elaborate the algorithm afterward. Nevertheless, this algorithm can analyze the topographic variables and the optimal value by watershed that can distinguish the mountain area. The results of this study are significant in that the mountain boundaries were extracted considering the characteristics of different mountain topography by region. This study will help establish policies for stable mountain management.

Species classification of the toxic dinoflagellate Alexandrium tamarense and A. catenella based on their paralytic shellfish toxin profiles

  • Kim, Young-Soo;Kim, Chang-Hoon
    • Proceedings of the Korean Aquaculture Society Conference
    • /
    • 2003.10a
    • /
    • pp.128-128
    • /
    • 2003
  • The annually outbreak of paralytic shellfish poisoning (PSP) were caused by toxic dinolagellate A. tamarense and A. catenella in Korea. The purpose of this study were to investigate the distribution of PSP-causative organisms, A. tamarense and A. catenella and their species classification. Sediment (Saemangeum, the south open sea) and water samples (southeastern coast) were sampled to establish clonal isolates in 2003. After isolation and purification, strains were cultured under $17^{\circ}C$, f/2 media, 14:10=L:D cycle. PST analysis and species identification were performed by HPLC-FD method and specific DNA probe, respectively. Thirty-ons strains were isolated from the Saemangeum reclamation, southeastern coast including Jinhae Bay and south open sea. PSTs were detected in all cultured strains. In eight strains from south offshore, major toxin components are GTX5, C1/2 and minors are GTX3/4, dcGTX3, neoSTX. Sixteen strains from south coastal area have GTX1/4, neoSTX, C1/2 as major toxin components and GTX2/3 as minors. Seven strains from the Saemangeum reclamation have GTX5, C1/2 as major toxin components and GTX1/2/3/4 as minors. Thus, among eight south offshore isolates, four A. tamarense have more toxic (38.31~l19.16 fmol.$cell^{-1}$) than A. catenella (3.78~13.13 fmol.$cell^{-1}$). With the previous results of different toxin composition, toxin components and toxin contents, .it is toxin profile that could used to diagnosis of regional toxic population and geographical distribution of both A. tamarense and A. catenella and their toxigenic strains.

  • PDF

The Product Recommender System Combining Association Rules and Classification Models: The Case of G Internet Shopping Mall (연관규칙기법과 분류모형을 결합한 상품 추천 시스템: G 인터넷 쇼핑몰의 사례)

  • Ahn, Hyun-Chul;Han, In-Goo;Kim, Kyoung-Jae
    • Information Systems Review
    • /
    • v.8 no.1
    • /
    • pp.181-201
    • /
    • 2006
  • As the Internet spreads, many people have interests in e-CRM and product recommender systems, one of e-CRM applications. Among various approaches for recommendation, collaborative filtering and content-based approaches have been investigated and applied widely. Despite their popularity, traditional recommendation approaches have some limitations. They require at least one purchase transaction per user. In addition, they don't utilize much information such as demographic and specific personal profile information. This study suggests new hybrid recommendation model using two data mining techniques, association rule and classification, as well as intelligent agent to overcome these limitations. To validate the usefulness of the model, it was applied to the real case and the prototype web site was developed. We assessed the usefulness of the suggested recommendation model through online survey. The result of the survey showed that the information of the recommendation was generally useful to the survey participants.