1,720,963 research outputs found
Ultra‐Low Power and Reliable Dynamic Memtransistor Based on Charge Storage Junction FET with Step‐Wise Potential Barrier for Energy‐Efficient Edge Computing Framework
No full textAbstract The emergence of technologies such as Artificial Intelligence (AI) and the Internet of Things (IoT) has ushered in the era of big data. The demand for low‐power hardware systems and efficient algorithms has become more imperative. In this study, an ultra‐low‐power dynamic memtransistor based on the charge storage junction Field‐Effect Transistor (FET) with a step‐wise potential barrier is developed. A simple yet efficient device structure allows for analog programming and spontaneous relaxation. The device demonstrated fast speed (tens of nanoseconds (ns)) and low current (in picoamperes (pA)), resulting in ultra‐low programming power (in attojoules (aJ)). Furthermore, the device exhibited high reliability, with a 0.4% cycle‐to‐cycle variation and endurance over 107 pulses, owing to its non‐structural destructive operation process. An operation scheme is developed that enables read on/off and program/inhibition mode for 2T (1 memtransistor‐1 selecting transistor) array. The capability to distinguish temporal data using the device's spontaneous relaxation characteristics is demonstrated. A reservoir computing (RC) system framework is constructed using simulation and verified that the dynamic memtransistor can extract features efficiently from a hand‐written digit dataset. It is anticipated that the developed dynamic memtransistor, with its distinctive temporal characteristics, will play a pivotal role in developing a novel low‐power computing framework
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
구조물 노후화 예측을 위한 순환신경망 방법론의 적용
Get PDF학위논문 (석사)-- 서울대학교 대학원 : 공과대학 건설환경공학부, 2018. 2. 송준호.Degradation and obsolescence of structures shows limitations to preemptive forecasting and corresponding response because of various uncertainties. In order to overcome this challenge, this study proposes a methodology for combining Structural Health Monitoring (SHM) data obtained during operation, which is one of the deep learning algorithms, and deterioration progress models based on mechanistic knowledge by using Recurrent Neural Network (RNN). Recurrent neural network is one kind of deep learning methodology used to learn the input data accepted in time order, and it is currently actively applied the areas of language awareness and modelling. Accurate prediction and evaluation of the aging of the structure can be possible by recursively updating the monitoring data through the recurrent neural network. Accurate prediction and evaluation of a structure's obsolescence can be achieved by updating it recursively with monitoring data via a recurrent neural network. It can be confirmed by comparing with the results of the existing aging prediction model and additionally the accuracy of the recurrent neural network model is determined by checking the results regarding to the number of base training data sets. It also verifies its performance and enables better forecasting by proposing new algorithms that can be applied to the obsolescence of structures as well as applying existing recurrent neural network.Chapter 1. Introduction 1
1.1. Objectives, Framework and Importance of the Research 1
1.2. Study Background 2
Chapter 2. Recurrent Neural Network(RNN) and Long-short Term Memory (LSTM) 6
2.1. Recurrent Neural Network (RNN) 6
2.2. Limits of Recurrent Neural Network (RNN) 7
2.3. Long Short-Term Memory (LSTM) 8
2.4. Window LSTM & Stacked LSTM 10
Chapter 3. LSTM approach of Corrosion Progress Model 12
3.1. Corrosion Progress Model (Engelhardt and McDonald, 2004) 12
3.2. LSTM approach – Effect of Number of Base Training Data Sets 16
Chapter 4. Application of LSTM to Prediction of Corrosion Progress 20
4.1. Prediction of LSTM model 20
4.2. Comparison of Natural, Window, Stacked LSTM model 22
4.3. Comparison with Particle Filter 24
Chapter 5. Conclusion 26
Appendix A 27
References 29
Abstract in Korean 31Maste
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
The complexity of market equilibria under consumption sets
Get PDF학위논문 (석사)-- 서울대학교 대학원 : 산업공학과, 2016. 8. 홍성필.본 논문에서는 미시경제학에서 근본적인 시장균형 모형 중 하나인 Fisher 모형의 계산복잡도를 다룬다. 몇 가지 결과들은 더욱 일반적인 모형인 Arrow-Debreu 모형에 적용될 수 있음을 보인다.
Fisher 시장은 상품들과 소비자들로 이루어져 있으며, 소비자들은 자신의 소비집합에서 자신의 예산 이내로 효용을 최대화하는 선택을 한다. 각 상품의 가격은 모든 소비자들이 최적선택을 했을 때 총수요의 가치와 총공급의 가치가 같아지도록 결정되며, 이를 균형가격이라고 한다.
최근 이론컴퓨터 과학자들은 시장균형의 계산에 관심을 기울이고 있다. 계산론 관점에서 일반적으로 시장균형 모형은 풀기 어렵다는 것이 밝혀졌기 때문이다. 컴퓨터 과학자들은 어떤 시장이 주어졌을 때 그 시장이 실제로 균형을 계산할 수 있는지 의문을 품기 시작했다. 논의를 Fisher 시장으로 좁히면, 모든 소비자들의 효용함수가 선형인 시장은 다항시간에 계산 가능하지만, 일반적인 오목 효용함수는 계산하기 어렵다는 사실이 증명됐다.
이 논문에서는 먼저 소비집합이 볼록뿔인 Fisher 시장이 다항시간 내에 계산 가능함을 보인다. 그에 반해 소비집합이 다면체인 Fisher 시장은, 효용함수가 모두 선형으로 주어지는 경우에도 계산이 어렵다는 사실을 증명한다. 이러한 결과는 소비집합에 따른 Fisher 시장의 계산이 쉬운 경우와 어려운 경우의 경계를 보여준다.1. 서론 1
1.1 도입 1
1.2 관련 결과들 3
1.3 본 연구의 결과들 4
1.4 논문 구성 5
2. 사전 지식 7
2.1 Fisher 시장 7
2.2 Fisher 모형과 Arrow-Debreu 모형 7
2.3 효용함수들 9
2.4 계산복잡도 클래스 PPAD 10
3. 볼록뿔 소비집합 Fisher 시장 14
3.1 Eisenberg의 Homogeneous Programming의 쌍대성 확장 15
3.2 소비집합이 볼록뿔인 Fisher 시장을 위한 볼록최적화 기법 17
3.3 균형과 후생함수의 특징 20
3.4 KKT 조건을 이용한 균형의 계산 21
3.5 (CP)의 응용: 주식시장 게임 24
4. 다면체 소비집합 Fisher 시장 26
4.1 PCS-Fisher의 정의와 성질 26
4.2 PCS-Fisher의 PPAD-hardness 28
4.3 균형 존재성의 NP-hardness 31
4.4 Arrow-Debreu 모형의 계산복잡도 32
5. 결론 및 추후 과제 35
5.1 요약 35
5.2 추후 과제 35
참고 문헌 37
ABSTRACT 41Maste
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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