• Computers and Concrete
• /
• 제23권6호
• /
• pp.421-431
• /
• 2019

The alarming rate of depletion of natural stone based coarse aggregates is a cause of great concern. The coarse aggregates occupy nearly 60-70% by volume of concrete being produced. Research efforts are on to look for alternatives to stone based coarse aggregates from sustainability point of view. Response surface methodology (RSM) is adopted to study and address the effect of ferrochrome slag (FCS) replacement to coarse aggregate replacement in the ordinary Portland cement (OPC) based concretes. RSM involves three different factors (ground granulated blast furnace slag (GGBS) as binder, flyash (FA) as binder, and FCS as coarse aggregate), with three different levels (GGBS (0, 15, and 30%), FA (0, 15, and 30%) and FCS (0, 50, and 100%)). Experiments were carried out to measure the responses like, workability, density, and compressive strength of FCS based concretes. In order to optimize FCS replacement in the OPC based concretes, three different traditional optimization techniques were used (grey relational analysis (GRA), technique for order of preference by similarity (TOPSIS), and desirability function approach (DFA)). Traditional optimization techniques were accompanied with principal component analysis (PCA) to calculate the weightage of responses measured to arrive at the final ranking of replacement levels of GGBS, FA, and FCS in OPC based concretes. Hybrid combination of PCA-TOPSIS technique is found to be significant when compared to other techniques used. 30% GGBS and 50% FCS replacement in OPC based concrete was arrived at, to be optimal.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권5호
• /
• pp.1597-1610
• /
• 2022

At present, the main method of high-speed train chassis detection is using computer vision technology to extract keypoints from two related chassis images firstly, then matching these keypoints to find the pixel-level correspondence between these two images, finally, detection and other steps are performed. The quality and accuracy of image matching are very important for subsequent defect detection. Current traditional matching methods are difficult to meet the actual requirements for the generalization of complex scenes such as weather, illumination, and seasonal changes. Therefore, it is of great significance to study the high-speed train image matching method based on deep learning. This paper establishes a high-speed train chassis image matching dataset, including random perspective changes and optical distortion, to simulate the changes in the actual working environment of the high-speed rail system as much as possible. This work designs a convolutional neural network to intensively extract keypoints, so as to alleviate the problems of current methods. With multi-level features, on the one hand, the network restores low-level details, thereby improving the localization accuracy of keypoints, on the other hand, the network can generate robust keypoint descriptors. Detailed experiments show the huge improvement of the proposed network over traditional methods.

• 한국컴퓨터정보학회:학술대회논문집
• /
• 한국컴퓨터정보학회 2021년도 제64차 하계학술대회논문집 29권2호
• /
• pp.313-315
• /
• 2021

Timely and accurate diagnosis of lung diseases using Chest X-ray images has been gained much attention from the computer vision and medical imaging communities. Although previous studies have presented the capability of deep convolutional neural networks by achieving competitive binary classification results, their models were seemingly unreliable to effectively distinguish multiple disease groups using a large number of x-ray images. In this paper, we aim to build an advanced approach, so-called Ensemble Knowledge Distillation (EKD), to significantly boost the classification accuracies, compared to traditional KD methods by distilling knowledge from a cumbersome teacher model into an ensemble of lightweight student models with parallel branches trained with ground truth labels. Therefore, learning features at different branches of the student models could enable the network to learn diverse patterns and improve the qualify of final predictions through an ensemble learning solution. Although we observed that experiments on the well-established ChestX-ray14 dataset showed the classification improvements of traditional KD compared to the base transfer learning approach, the EKD performance would be expected to potentially enhance classification accuracy and model generalization, especially in situations of the imbalanced dataset and the interdependency of 14 weakly annotated thorax diseases.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제18권1호
• /
• pp.1-14
• /
• 2024

Time-series forecasting is extensively used in the actual world. Recent research has shown that Transformers with a self-attention mechanism at their core exhibit better performance when dealing with such problems. However, most of the existing Transformer models used for time series prediction use the traditional encoder-decoder architecture, which is complex and leads to low model processing efficiency, thus limiting the ability to mine deep time dependencies by increasing model depth. Secondly, the secondary computational complexity of the self-attention mechanism also increases computational overhead and reduces processing efficiency. To address these issues, the paper designs an efficient multi-layer attention-based time-series forecasting model. This model has the following characteristics: (i) It abandons the traditional encoder-decoder based Transformer architecture and constructs a time series prediction model based on multi-layer attention mechanism, improving the model's ability to mine deep time dependencies. (ii) A cross attention module based on cross attention mechanism was designed to enhance information exchange between historical and predictive sequences. (iii) Applying a recently proposed sparse attention mechanism to our model reduces computational overhead and improves processing efficiency. Experiments on multiple datasets have shown that our model can significantly increase the performance of current advanced Transformer methods in time series forecasting, including LogTrans, Reformer, and Informer.

• 보존과학회지
• /
• 제27권4호
• /
• pp.421-430
• /
• 2011

본 연구에서는 청동유물에서 관찰되는 다양한 미세조직의 출현과정을 이해하기 위하여 현재 전통방식으로 방짜유기를 제작하는 한국민속촌 유기공방에서 실행되고 있는 제작방법과 담금질 조건을 조사하였으며, 여기에서 제작된 방짜유기의 미세조직과 조성을 살펴보았다. 또한 이 공방에서와 유사한 조건으로 재현실험을 수행하여 그 결과를 비교자료로 사용하였다. 전통 유기공방에서 수행하는 담금질 조건을 자세히 기술함과 동시에 작업 조건에서 나타나는 변동성을 미세조직의 관찰 결과와 함께 제시하였다. 유기공방의 화덕 온도는 $750{\sim}850^{\circ}C$로 측정되었으며 다음 단계의 작업을 위하여 화덕에서 막 꺼낸 청동소재의 표면온도는 대략 $650{\sim}685^{\circ}C$로 측정되었다. 이 같은 큰 폭의 온도 편차는 담금질 과정을 거쳐 생산된 방짜유기에 다양한 미세조직을 초래하였다. 특히 외부기온에 따른 온도편차가 큰 겨울과 비교적 영향이 적은 봄에 각각 제작된 방짜유기의 미세조직을 분석한 결과 ${\alpha}$상을 중심으로 그 배경에서 마르텐사이트(${\beta}$)상, ${\gamma}$상, ${\alpha}+{\delta}$ 공석조직 또는 이들의 혼합물로 이루어진 다양한 조직이 관찰되었다. 특히 실험실에서 재현한 시험편에서도 짧은 시간동안 가열할 경우 ${\alpha}+{\gamma}$상 또는 ${\alpha}+({\beta})+{\gamma}$상 등 다양한 미세조직이 형성되었다. 이처럼 미세조직에서 관찰되는 다양성은 유물에서도 확인되는 것으로 실제 유기공방에서 담금질시 적용하는 열처리 조건이 온도측정으로부터 예측되는 작업조건보다 훨씬 더 복잡하다는 점을 의미한다.

• CRM연구
• /
• 제4권2호
• /
• pp.19-29
• /
• 2011

오프라인 쇼핑몰에 비해 온라인 쇼핑몰은 빠르게 접근이 가능하기 때문에 처음 구매의사를 생성하고 실제 구매가 이루어지기까지의 기간이 오프라인 쇼핑몰에 비해 매우 짧게 나타난다. 즉 오프라인 쇼핑몰의 경우 구매 희망물건을 바로 구매하기 보다는 몇 개의 물건들을 모두 모아서 구매하는 행태가 일반적이다. 하지만, 인터넷 쇼핑몰의 경우 단 하나의 물품만을 포함하고 있는 주문이 전체 주문의 절반이상을 차지한다. 이러한 차이는 온라인 쇼핑몰 거래데이터의 분석을 위해서는 데이터 마이닝 분석에서 사용되어 온 장바구니의 정의에 대한 확장이 필요함을 의미한다. 하지만 현재까지 온라인 데이터를 대상으로 한 장바구니 분석 연구는, 장바구니의 기준 즉 동시구매의 기준에 대한 명확한 근거나 합의 없이 연구자의 선택에 따라 서로 다른 기준으로 수행되어왔다. 따라서 본 연구에서는 온라인 쇼핑몰 분석에 적용되는 동시에 구매되는 물건들에 대한 기준을 고찰해보고 연구모형을 마련하고자 한다.

• Journal of Information Processing Systems
• /
• 제14권5호
• /
• pp.1102-1113
• /
• 2018

Vibrotactile feedback is widely used in designing non-visual interactions on mobile phones, such as message notification, non-visual reading, and blind use. In this work, novel vibrotactile codes are presented to implement a non-visual text reading system for mobile phones. The 26 letters of the English alphabet are formed in an index table with four rows and seven columns, and each letter is mapped using the codes of vibrations. Two kinds of vibrotactile codes are designed with the actuator's on and off states and with specific lengths (short and long) assigned to each state. To improve the efficiency of tactile perception and user satisfaction, three user experiments are conducted. The first experiment explores the maximum number of continuous vibrations and minimum vibration time of the actuator's on and off states that the human can perceive. The second experiment determines the minimum interval between continuous vibrations. The vibrotactile reading system is designed and evaluated in the third experiment according to the results of the two preceding experiments. Results show that the character reading accuracy reaches 91.7% and the character reading speed is approximately 617.8 ms. Our method has better reading efficiency and is easier to learn than the traditional Braille coding method.

• Fisheries and Aquatic Sciences
• /
• 제6권1호
• /
• pp.34-40
• /
• 2003

Three panel trammel nets were made illegal for the brown shrimp (Penaeus japonicus) or fishes by Korean fisheries law while trammel nets for fleshy prawn in the West sea remained legal. In this study a single panel tangle net with vertical loop lines rigged between the float line and sinker line was specially designed to catch brown shrimp. This net was developed for the first time after observation of the brown shrimp behaviour when reacting to a net in an observation tank. In field experiments these single tangle nets were compared with the traditional trammel nets in the coastal waters of the Keoje area. The mean number of the brown shrimp for 53 fishing operations was 1.13 per unit panel of the single tangle nets when fitted with the vertical loop lines. This was $84\%$ of the mean catch of 1.36 achieved with the trammel nets. These results of fishing experiments using single tangle nets in the field revealed a high fishing efficiency for the brown shrimp and showed little difference from trammel nets. The size of the brown shrimp or number of by-catch was not different between single tangle nets and trammel nets.

• 동의생리병리학회지
• /
• 제24권4호
• /
• pp.559-565
• /
• 2010

Cancer is already a well-recognized main cause of mortality and the incidence of cancer is increasing steadily. Because conventional treatment modalities for cancer accompanies severe side effects, traditional medicine has been considered as alternatives to reduce the adverse effects and its use has continued to rise in cancer therapy. This study aims to summarize and make a reference of radioprotective effects of herbs worldwide. In this process, this review surveyed all papers of radioprotective-focused studies using herbal medicine in PubMed database and finally 44 papers were included. The type of materials, formation of experiments, type of herbal medicine, their action and mechanisms, and type of cancer were analyzed. The number of studies on radioprotective effects of herbal medicine has increased since 2000. The main formation of experiments was clinical study and the portion was 45% and the proportion of the research using prescriptions was 51% and the research using herbal products was 25%. Herbs and prescriptions having the effects of tonifying and nourishment were used the most. Most of herbal medicine in this study can enhance immune function, increase anti-oxidant effect, regulate cell cycle and increase sensitivity to radiotherapy. This study will provide the useful information on development of herbal medicine having radioprotective effects.

• Rapid Communication in Photoscience
• /
• 제4권1호
• /
• pp.1-8
• /
• 2015

For understanding molecular mechanisms of photochemical reactions, in particular reactions of proteins with biological functions, it is important to elucidate both the initial reactions from the photoexcited states and the series of subsequent chemical reactions, e.g., conformation, intermolecular interactions (hydrogen bonding, hydrophobic interactions), and inter-protein interactions (oligomer formation, dissociation reactions). Although time-resolved detection of such dynamics is essential, these dynamics have been very difficult to track by traditional spectroscopic techniques. Here, relatively new approaches for probing the dynamics of protein photochemical reactions using time-resolved transient grating (TG) are reviewed. By using this method, a variety of spectrally silent dynamics can be detected and such data provide a valuable description about the reaction scheme. Herein, a blue light sensor protein TePixD is the exemplar. The initial photochemistry for TePixD occurs around the chromophore and is detected readily by light absorption, but subsequent reactions are spectrally silent. The TG experiments revealed conformational changes and changes in inter-protein interactions, which are essential for TePixD function. The TG experiments also showed the importance of fluctuations of the intermediates as the driving force of the reaction. This technique is complementary to optical absorption detection methods. The TG signal contains a variety of unique information, which is difficult to obtain by other methods. The advantages and methods for signal analyses are described in detail in this review.