Social Confluence Theory, as Applied to Cases of Disability Status and Korean Identity

Alex Lubet,김향은 한국학중앙연구원 한국학중앙연구원 2015 THE REVIEW OF KOREAN STUDIES Vol.18 No.2

This paper presents an exposition of social confluence theory, a concept of identity formation first introduced by Alex Lubet. The theory posits that the fundamental unit of identity in globalized, high technology, information-oriented societies such as the United States and South Korea is no longer a relatively stable unit such as the nation-state, ethnic group, faith community, nuclear or extended family, or individual. Rather, it is the status of the individual or group within the sociocultural or psychosocial encounter of the moment, which we call the social confluence. We first demonstrate the application of the theory with examples from the intersection of disability and music. To further illustrate the theory’s potential, we apply it to Korean identity, demonstrating the great mutability of that identity across different contexts or social confluences, using examples from South Korea and the United States, including international Korean adoptees, North Korean refugees, and Korean and other Asian-Americans in pan-Asian arts organizations. We conclude by proposing research topics in disability studies and Korean studies for which social confluence theory seems particularly apt, in particular the categorizations of people with Autistic Spectrum Conditions, while proposing extended research applications for the theory, with particular attention toward South Korea.

Hybrid Connectionist and Classical Approaches in JANUS , an Advanced Speech-to-Speech Translation System

Alex Waibel,T. S. Polzin,N. Coccaro,B. Shum,U. Bodenhausen,F. D. Buo,H. Hild 대한전자공학회 1994 ICONIP : International Conference On Neural Inform Vol.1 No.3

A new approach to design of RF energy harvesting system to enslave wireless sensor networks

Alex Mouapi,Nadir Hakem,Gilles Y. Delisle 한국통신학회 2018 ICT Express Vol.4 No.4

In trying to reach the goal of controlling the environment, recent years have seen the rapid emergence of Wireless Sensors Networks (WSN). Nevertheless, the lifetime of sensor nodes shows a strong dependence on battery capacity. Recently energy harvesting techniques have been considered to allow the use of WSN in the ”deploy and forget” mode. This paper proposes an assessment of the performance of a WSN enslaved to an optimized Radiofrequency Energy Harvesting System (REHS). The energy budget of a sensor node in a Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol is quantified and used to evaluate the performance of the WSN.

Mass and Stiffness Distributions in Optimized Ungrouped Unbraced Frames

Alex Elvin,Richard Walls 한국강구조학회 2010 International Journal of Steel Structures Vol.10 No.3

This paper investigates the distribution of mass and stiffness in multi-storey, ungrouped, unbraced, optimized frames. Ungrouped structures are impractical to design and construct. However, optimized, ungrouped structures suggest how structural systems can be improved, and the loads can be carried more efficiently. The Virtual Work Optimization (VWO) method is used to minimize the weight of the structures considered. A 60-storey structure found in the literature is optimized to compare the distribution of mass and stiffness in grouped and ungrouped configurations. A parametric study of frames subjected to lateral loads, ranging in height from 5 to 30 stories, is carried out. Structures are designed to satisfy both strength and deflection criteria. Three different section databases are used for each case study to investigate whether the nature of discrete sections influences results. When ungrouped frames subject to lateral loads are optimized the total stiffness and mass per floor decrease approximately linearly with decreasing height, followed in some cases by a constant region of mass and stiffness, and a decrease in the foundation region. Distinct patterns emerge where members are stiffened on diagonal paths across the width of the structure. The distribution of mass in the frames suggests truss or megabrace behaviour.

Diversity and Phorophyte Preference of Vascular Epiphytic Flora on Avenues within the University of Port Harcourt, Nigeria

Alex, Amininim,Chima, Uzoma Darlington,Ugbaja, Uzoamaka Deborah Institute of Forest Science 2021 Journal of Forest Science Vol.37 No.3

This study evaluated the species composition, diversity and phorophyte preference of epiphytes at the University of Port Harcourt located in southern part of Nigeria. Purposive sampling technique was used to select sites representing major avenues in the three campuses (Abuja, Choba and Delta) of the University. Data were collected on species name of phorophytes, number of individuals, diameter at breast height (dbh) and height, and species/number of epiphytes present on them. The points/sections of attachment of epiphytes on phorophytes were also recorded. A total of eight species of epiphyte belonging to six families were recorded in the study. Species diversity was higher in Abuja campus (Simpson 1-D=0.81; Shannon H=1.79), followed by Choba campus (Simpson 1-D=0.73; Shannon H=1.09) and Delta campus (Simpson 1-D=0.56; Shannon H=0.93). Species richness was highest in Abuja campus (n=8) followed by Delta campus (n=4) and Choba campus (n=3). Similarity in epiphyte species composition was highest between Choba and Delta campuses (85.71%), followed by Delta and Abuja campuses (66.67%) and lowest between Choba and Abuja campuses (54.55%). The family-Polypodiaceae, had the highest number of species (n=3). Microgramma owariensis had the highest relative abundance (27%) followed by Platycerium bifurcatum (26%) while Tillandsia utriculata and Peperomia pellucida had the least relative abundance (3%). Epiphyte abundance was weakly correlated with both the dbh and height of phorophytes. However, epiphytes were more abundant on phorophytes with rough/scaly/corky/flaky barks than on those with smooth barks. The planting of avenue tree species with rough barks is recommended to enhance the diversity of epiphytes in the study area.

Management of Malignancies Developing in AYA

Alex WK. Leung,Herbert HF. Loong,Teresa Tse,Chi-kong Li 대한소아혈액종양학회 2021 Clinical Pediatric Hematology-Oncology Vol.28 No.1

Adolescent and young adult (AYA) with cancers have distinct spectrum of cancers as compared to younger and older age groups. The definition of age limits of AYA varies among countries, from 15-25 years to 12-39 years. The differences in age definition lead to variation in report of incidence, types of cancers and survival. In younger AYA patients, hematological malignancies are leading cause of cancers. In older AYA patients, testicular cancers are common in males while breast cancers and cervical cancers are predominant types in females. There is increasing incidence of AYA cancers worldwide in the past two decades. Overall survival and treatment outcome of AYA cancer has been improving in the last few decades. Specialized centers for AYA with cancers provide more comprehensive care and have been reported to have superior outcome. About 80% of AYA with cancers survive at 5 years after diagnosis but they are higher risk of developing second malignancies. Barriers to AYA cancer treatment included social economic status, insurance system and accessibility to clinical trials. Survivors of AYA cancers are also at higher risk dying from cardiovascular diseases and respiratory diseases. Survivorship program should be in place to enhance education and surveillance.

Intelligent intrusion detection systems using artificial neural networks

Alex Shenfield,David Day,Aladdin Ayesh 한국통신학회 2018 ICT Express Vol.4 No.2

This paper presents a novel approach to detection of malicious network traffic using artificial neural networks suitable for use in deep packet inspection based intrusion detection systems. Experimental results using a range of typical benign network traffic data (images, dynamic link library files, and a selection of other miscellaneous files such as logs, music files, and word processing documents) and malicious shell code files sourced from the online exploit and vulnerability repository exploitdb [1], have shown that the proposed artificial neural network architecture is able to distinguish between benign and malicious network traffic accurately. The proposed artificial neural network architecture obtains an average accuracy of 98%, an average area under the receiver operator characteristic curve of 0.98, and an average false positive rate of less than 2% in repeated 10-fold cross-validation. This shows that the proposed classification technique is robust, accurate, and precise. The novel approach to malicious network traffic detection proposed in this paper has the potential to significantly enhance the utility of intrusion detection systems applied to both conventional network traffic analysis and network traffic analysis for cyber–physical systems such as smart-grids.

Volumetric Vegetation Monitoring from LiDAR Scans with Ground Estimation

Alex Junho Lee,Hyungtae Lim,Minho Oh,Wonho Song,Hyun Myung 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11

Impact Assessment of International Strategies of Combating Cybercrime in West Africa

Alex Ogbole(알렉스 오그보울),Yunsik Jang(장윤식) 한국디지털포렌식학회 2020 디지털 포렌식 연구 Vol.14 No.2

많은 국제 사이버범죄의 진원지이기도 한 나이지리아 등 서아프리카 지역에서도 국가 혹은 국제적인 사이버범죄 전략을 수립하였으나 범죄발생 상황은 나아지지 않고 있다. 이에 본 논문에서는 서아프리카 국가의 사이버범죄 분야 종사자를 대상으로 한 설문을 중심으로 인터폴의 사이버범죄 전략모델(2016-2020)의 4대 영역, 수사기관의 역량개발, 경제 등 국가여건, 법제, 인식제고 캠페인의 사이버범죄에 미치는 영향을 분석, 평가하고 디지털증거 등 법집행분야를 중심으로 현재 전략의 문제점을 도출하고 개선방안을 논의하였는바, 역량강화가 가장 효과적인 전략으로 확인되었다. Countries in West Africa have engaged national and transnational strategies to combat cybercrime, but the cybercrime trend has been on the rise. In this paper, we analyzed the INTERPOL"s cybercrime global strategy of 2016-2020. Four factors and their correlational impact on cybercrime have been measured for 10 responding countries; Capacity Building of law enforcement personnel, National factors and access to data, Subscription to international and local cybercrime legislation, and Campaigns(focus is mainly law enforcement). We analyzed the result and implication with an advisory for future strategies and this research identified that capacity building amongst field officers is the most effective strategy.

Novel inflammatory bowel disease (IBD) specific electronic medical record allows scalable auditing of IBD severity, therapy and complications to show the current unmet need in IBD care

Alex Barnes,David Carter,Patricia Kaazan,Alissa Walsh,Susan Connor,Jane M Andrews 대한장연구학회 2022 Intestinal Research Vol.20 No.4