• 한국정보통신학회논문지
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• 제23권10호
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• pp.1248-1253
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• 2019

재난 상황 시 대피 경로를 유도하기 위해 대부분의 건물 등의 구조물에서는 중앙통제센터나 안전요원의 안내 및 대피 경로 유도등을 통해 대피 경로를 안내하고 있다. 하지만 규모가 커지고 갈수록 내부 구조가 복잡해짐에 따라 비상 상황 시 안전을 보장할 수 있는 지능적 안내 시스템의 필요성이 증가하고 있다. 따라서 경로 탐색 알고리즘에 기반한 지능적 대피경로 탐색 및 안내 시스템이 제안되었고, 구조물 내 설치된 센서 노드로부터 수집된 상황 정보를 기반으로 중앙 서버에서 각 위치별 최적의 경로를 제시하는 방식으로 대피 유도가 이루어졌다. 그러나 대피자의 효과적인 대피와 함께 중요한 부분이 구조자의 효율적인 구조활동이다. 현재까지 대피자의 대피 경로 유도에 대한 연구는 다양하게 이루어져왔으나, 구조자의 효율적 진입 경로 탐색에 대한 연구는 전무하였다. 따라서 본 논문에서는 센서 네트워크 환경에서 유전 알고리즘을 적용한 구조자 진입 경로 탐색 방안에 대해 제안하였다. 제안된 방식의 실효성을 검증하기 위해 컴퓨터 시뮬레이션을 통해 제안된 방식의 성능을 검증하였고, 그 결과 작업량 기준의 적응도 평가 시 적응도가 일정 시간 내에 수렴되었으며, 각 출구별 이동하는 노드의 비율로 환산한 출구집중도 역시 최대값과 최소값 차이가 현저하게 감소하였다.

• 한국인터넷방송통신학회논문지
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• 제22권5호
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• pp.177-183
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• 2022

최근 COVID-19로 인해 홈 트레이닝의 관심도가 증가하고 있다. 이에 따라 HAR(human activity recognition) 기술을 홈 트레이닝에 적용한 연구가 진행되고 있다. 기존 HAR 분야의 논문에서는 동적인 자세보다는 앉기, 일어서기와 같은 정적인 자세들을 분석한다. 본 논문은 동적인 운동 자세를 분석하여 사용자의 운동 자세 정확도를 보여주는 딥러닝 모델을 제안한다. AI hub의 피트니스 이미지를 blaze pose를 사용하여 사람의 자세 데이터를 분석한다. 3개의 딥러닝 모델: RNN(recurrnet neural networks), LSTM(long short-term memory networks), CNN(convolution neural networks)에 대하여 실험을 진행한다. RNN, LSTM, CNN 모델의 f1-score는 각각 0.49, 0.87, 0.98로 CNN 모델이 가장 적합하다는 것을 확인하였다. 이후 연구로는, 다양한 학습 데이터를 사용하여 더 많은 운동 자세를 분석할 예정이다.

• 한국의류학회지
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• 제46권5호
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• pp.760-771
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• 2022

This study sought to develop clothing for a companion animal that can provide stable ECG measurements. A pattern for the smart clothing of a companion dog was manufactured using the replica method to select a location and method that best suited the stable measurement of ECG and improved the clothing's fitness. The smart clothing was developed as the following three types: strap type, top type, and combined top and vest type with a detachable wireless ECG monitor. The detection abilities of these were observed using the PQRST rate taken after ECG measurements while the three companion dogs were tested while resting and moving. The results revealed that apart from using an electrode, applying a gel pad is the most effective way to achieve stable ECG measurements, and the central chest region is more reliable than the left armpit for providing steady readings. The combined top and vest type showed the highest average ECG PQRST detection number, meaning that the ECG signal measurement was steady. These results may contribute to the measurement of ECG in smartwear for U-Healthcare to measure other biometric data of a companion dog.

• International Journal of Computer Science & Network Security
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• 제23권9호
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• pp.55-64
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• 2023

The Internet of Things (IoT) is the combination of the internet and various sensing devices. IoT security has increasingly attracted extensive attention. However, significant losses appears due to malicious attacks. Therefore, intrusion detection, which detects malicious attacks and their behaviors in IoT devices plays a crucial role in IoT security. The intrusion detection system, namely IDS should be executed efficiently by conducting classification and efficient feature extraction techniques. To effectively perform Intrusion detection in IoT applications, a novel method based on a Conventional Neural Network (CNN) for classification and an improved Genetic Algorithm (GA) for extraction is proposed and implemented. Existing issues like failing to detect the few attacks from smaller samples are focused, and hence the proposed novel CNN is applied to detect almost all attacks from small to large samples. For that purpose, the feature selection is essential. Thus, the genetic algorithm is improved to identify the best fitness values to perform accurate feature selection. To evaluate the performance, the NSL-KDDCUP dataset is used, and two datasets such as KDDTEST²¹ and KDDTEST⁺ are chosen. The performance and results are compared and analyzed with other existing models. The experimental results show that the proposed algorithm has superior intrusion detection rates to existing models, where the accuracy and true positive rate improve and the false positive rate decrease. In addition, the proposed algorithm indicates better performance on KDDTEST⁺ than KDDTEST²¹ because there are few attacks from minor samples in KDDTEST⁺. Therefore, the results demonstrate that the novel proposed CNN with the improved GA can identify almost every intrusion.

• 인간식물환경학회지
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• 제22권6호
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• pp.665-676
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• 2019

The Korean society is currently showing a decrease in the child population and a rapid increase in the elderly population due to low birth rates and aging, but the current park system does not reflect the changing population structure. This study aimed to find ways to plan and promote use of senior-friendly parks for the aging society. The results are as follows. First, the elderly mostly gathered in Tapgol Park and Jongmyo Park which were accessible to subways and close to amenities and traditional markets. The elders usually gathered around buffer zones or green spaces set up to protect cultural heritages. Second, many elderly users were observed in Osolgil Silver Park and Sinteuri Park which were renovated with senior-friendly concept. These parks were recognized as places that the elderly people could visit without minding users of other generations because the elderly users were ensured by words such as 'seniors only' or 'senior-friendly'. Third, the importance of the locational conditions for the senior-friendly parks should be mentioned. A senior-friendly park must be located in an urban center to have convenient access to transportation, secure large green spaces, and make elderly users feel at ease with social connectivity when they use the amenities there. Fourth, the survey results showed that elderly people visited parks to exerciseand take a walk (track),by age, older age groups visited the park to socialize with other elders around their age. Fifth, the most desired facilities for constructing senior-friendly parks were fitness equipment, and sports facilities like a trail, track, and gateball field, and in some cases, vegetable gardens and indoor rest area to avoid wind in cold weather.

• 한국시뮬레이션학회논문지
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• 제32권1호
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• pp.13-21
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• 2023

본 논문은 실제 시스템의 빅데이터가 확보되었고 시스템에 대한 정보를 일부 알고 있을 때 파라미터를 가진 그레이박스 혹은 블랙박스 형태의 가설모델을 설정하고 기계학습을 통해 모델을 자동 생성하는 기법을 제안하였다. 제안된 프레임워크를 구현하고 다양한 가설모델에 대한 실험을 통해 학습된 모델의 정합도와 가설모델의 학습에 소요되는 비용에 대해 분석하였다. 실험결과 제안된 가설모델 기반 기계학습 기법으로 상미분방정식으로 기술될 수 있은 연속시스템의 그레이박스 혹은 화이트 박스 가설모델과 주어진 빅데이터를 이용하여 모델링을 했을 때 상당히 좋은 성능과 정확도를 보인 모델을 찾아낼 수 있음을 확인하였다. 이 기법은 최근 생성된 빅데이터를 이용하여 디지털트윈 모델의 일치성을 자동 갱신하거나 새로운 입력에 대한 출력을 예측하는 목적으로도 잘 활용될 수 있을 것으로 기대된다.

• 운동영양학회지
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• 제23권1호
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• pp.13-20
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• 2019

[Purpose] The OPG/RANK/RANKL signaling is a new family of bone metabolism biomarkers belonging to the immune system. However, the bone metabolism response to long-term exercise in the RANKL/RANK/OPG signaling is less evident. The purpose of this study was to examine these biomarkers in healthy college females after 12-weeks combined exercise intervention. [Methods] Participants (N=22, 22.4±1.3yrs) were randomly divided in two different group: 12 in the control group and 10 in the exercise group performing combined exercise program that interventions was conducted 3 times per week for 12 weeks. The outcome measures included serum concentrations of RANKL, OPG and bone metabolic cytokines such as TNF-α and IL-6, and mRNA expressions of same variables from PBMC. VO_2max and bone mineral density (BMD) were measured at before and after exercise intervention. [Results] There were no significant differences in the serum RANKL, OPG concentrations and all RANKL/RANK/OPG signaling mRNA expression on interaction effect between group and time (NS). Also no significant differences were found in the serum TNF-α and IL-6 concentrations and mRNA expression (NS). The IL-6 mRNA expression only showed significant difference in the main effect of groups (p<.05). There were also no significant differences in the VO_2max and BMD on interaction effect between group and time (NS). [Conclusion] These results suggested that there were no effects on bone mineral density and RANKL/RANK/OPG signaling without the effect of 8-weeks combined exercise on cardiovascular endurance fitness.

• IMMUNE NETWORK
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• 제24권1호
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• pp.9.1-9.21
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• 2024

The cytokine IL-7 plays critical and nonredundant roles in T cell immunity so that the abundance and availability of IL-7 act as key regulatory mechanisms in T cell immunity. Importantly, IL-7 is not produced by T cells themselves but primarily by non-lymphoid lineage stromal cells and epithelial cells that are limited in their numbers. Thus, T cells depend on cell extrinsic IL-7, and the amount of in vivo IL-7 is considered a major factor in maximizing and maintaining the number of T cells in peripheral tissues. Moreover, IL-7 provides metabolic cues and promotes the survival of both naïve and memory T cells. Thus, IL-7 is also essential for the functional fitness of T cells. In this regard, there has been an extensive effort trying to increase the protein abundance of IL-7 in vivo, with the aim to augment T cell immunity and harness T cell functions in anti-tumor responses. Such approaches started under experimental animal models, but they recently culminated into clinical studies, with striking effects in re-establishing T cell immunity in immunocompromised patients, as well as boosting anti-tumor effects. Depending on the design, glycosylation, and the structure of recombinantly engineered IL-7 proteins and their mimetics, recombinant IL-7 molecules have shown dramatic differences in their stability, efficacy, cellular effects, and overall immune functions. The current review is aimed to summarize the past and present efforts in the field that led to clinical trials, and to highlight the therapeutical significance of IL-7 biology as a master regulator of T cell immunity.

• Asia pacific journal of information systems
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• 제19권4호
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• pp.77-100
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• 2009

Information Systems (IS) is an essential tool for any organizations. The last decade has seen an increasing body of knowledge on IS usage. Yet, IS often fails because of its misuse or non-use. In general, decisions regarding the selection of a system, which involve the evaluation of many IS vendors and an enormous initial investment, are made not through the consensus of employees but through the top-down decision making by top managers. In situations where the selected system does not satisfy the needs of the employees, the forced use of the selected IS will only result in their resistance to it. Many organizations have been either integrating dispersed legacy systems such as archipelago or adopting a new ERP (Enterprise Resource Planning) system to enhance employee efficiency. This study examines user resistance prior to the adoption of the selected IS or ERP system. As such, this study identifies the importance of managing organizational resistance that may appear in the pre-adoption context of an integrated IS or ERP system, explores key factors influencing user resistance, and investigates how prior experience with other integrated IS or ERP systems may change the relationship between the affecting factors and user resistance. This study focuses on organizational members' resistance and the affecting factors in the pre-adoption context of an integrated IS or ERP system rather than in the context of an ERP adoption itself or ERP post-adoption. Based on prior literature, this study proposes a research model that considers six key variables, including perceived benefit, system complexity, fitness with existing tasks, attitude toward change, the psychological reactance trait, and perceived IT competence. They are considered as independent variables affecting user resistance toward an integrated IS or ERP system. This study also introduces the concept of prior experience (i.e., whether a user has prior experience with an integrated IS or ERP system) as a moderating variable to examine the impact of perceived benefit and attitude toward change in user resistance. As such, we propose eight hypotheses with respect to the model. For the empirical validation of the hypotheses, we developed relevant instruments for each research variable based on prior literature and surveyed 95 professional researchers and the administrative staff of the Korea Photonics Technology Institute (KOPTI). We examined the organizational characteristics of KOPTI, the reasons behind their adoption of an ERP system, process changes caused by the introduction of the system, and employees' resistance/attitude toward the system at the time of the introduction. The results of the multiple regression analysis suggest that, among the six variables, perceived benefit, complexity, attitude toward change, and the psychological reactance trait significantly influence user resistance. These results further suggest that top management should manage the psychological states of their employees in order to minimize their resistance to the forced IS, even in the new system pre-adoption context. In addition, the moderating variable-prior experience was found to change the strength of the relationship between attitude toward change and system resistance. That is, the effect of attitude toward change in user resistance was significantly stronger in those with prior experience than those with no prior experience. This result implies that those with prior experience should be identified and provided with some type of attitude training or change management programs to minimize their resistance to the adoption of a system. This study contributes to the IS field by providing practical implications for IS practitioners. This study identifies system resistance stimuli of users, focusing on the pre-adoption context in a forced ERP system environment. We have empirically validated the proposed research model by examining several significant factors affecting user resistance against the adoption of an ERP system. In particular, we find a clear and significant role of the moderating variable, prior ERP usage experience, in the relationship between the affecting factors and user resistance. The results of the study suggest the importance of appropriately managing the factors that affect user resistance in organizations that plan to introduce a new ERP system or integrate legacy systems. Moreover, this study offers to practitioners several specific strategies (in particular, the categorization of users by their prior usage experience) for alleviating the resistant behaviors of users in the process of the ERP adoption before a system becomes available to them. Despite the valuable contributions of this study, there are also some limitations which will be discussed in this paper to make the study more complete and consistent.

• 마케팅과학연구
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• 제18권4호
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• pp.217-244
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• 2008

전자정보기술의 발달로 인해 도서관 서비스제공은 정보화시스템에 대한 의존 비중이 커져가고 있다. 이러한 상황의 변화에 따라 본 연구는 이용자의 도서관 정보화에 대한 성과지각과 정보화를 통한 이용 만족은 전반적 만족에 중요한 선행요인이 될 것으로 추론하였다. 뿐만 아니라 기존 연구는 대체로 도서관의 서비스제공측면에서 이용자의 인식이나 만족을 조사하였으나 본 연구는 시각을 달리하여 이용자측면에서 단순 열람목적의 일반적 이용과, 전문정보구득 목적의 전문적 이용패턴이 정보화 성과지각에 어떻게 다르게 영향을 미치는지에 대해서 조사하였다. 또한 서비스품질차원이 정보화성과지각과 이용만족에 미치는 영향을 조사하였다. 마지막으로 서비스품질차원이 정보화성과지각과 이용만족에 미치는 영향을 확인하였다. 본 연구의 실증분석 결과는 첫째, 도서관 이용자의 열람 등 일반적 목적 이용이 정보화성과지각에 영향을 미치는지 검증하고자 하였으나 유의한 수준에 미치지 못했다. 둘째, 도서관 이용자의 특정 정보구득 등 전문적 목적의 이용이 정보화성과지각에 유의한 정의 영향을 미쳤다. 셋째, 일반적 서비스품질인 상호작용품질, 결과품질, 물리적환경품질 차원은 정보화성과지각에 유의한 영향을 미쳤으나 정보화이용만족에는 유의하지 않았다. 마지막으로, 도서관 이용자의 정보화성과지각과 정보화이용만족이 전반적인 만족을 선행하고 있음을 밝혔다. 이를 통해 도서관의 정보화시스템을 어떻게 이용자중심으로 체계화하여 발전시킬 것인지에 대해 심층적인 고찰이 필요함을 확인하였다.