Browsing by Issue Date, starting with "2018-01-01"

Now showing 1 - 20 of 12384

Being an excellent team: understanding how politics influence team performance
(2018-01-01)
Chiu, Chou-Kang
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Joe, Sheng-Wuu
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Lin, Chieh-Peng
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Wu, Tien-Yu
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Yen, Pi-Hsia
This research develops a model based on the transaction cost theory and resource allocation theory to predict how politics (i.e. autocracy and opportunism) affect team performance in technology industries. Directly related to resource adequacy, team performance is associated with top management autocracy and peer teams' opportunism indirectly via the mediation of collective affective commitment. The relationships between collective affective commitment and team performance and between resource adequacy and team performance are moderated by top management autocracy and peer teams' opportunism, respectively. Empirical testing of this model, by investigating personnel of work teams in high-tech firms, explores changes in politics in technology industries. Lastly, this study provides managerial implications and research limitations based on its empirical findings.
Adaptive Feature Mapping for Customizing Deep Learning Based Facial Expression Recognition Model
(2018-01-01)
Wu, Bing-Fei
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Lin, Chun-Hsien
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電控工程研究所
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Institute of Electrical and Control Engineering
Automated facial expression recognition can greatly improve the human-machine interface. The machine can provide better and more personalized services when it knows the human's emotion. This kind of improvement is an important progress in this artificial intelligence era. Many deep learning approaches have been applied in recent years due to their outstanding recognition accuracy after training with large amounts of data. The performance is limited, however, by the specific environmental conditions and variations in different persons involved. Hence, this paper addresses the issue of how to customize the generic model without label information from the testing samples. Weighted Center Regression Adaptive Feature Mapping (W-CR-AFM) is mainly proposed to transform the feature distribution of testing samples into that of trained samples. By means of minimizing the error between each feature of testing sample and the center of the most relevant category, W-CR-AFM can bring the features of testing samples around the decision boundary to the centers of expression categories; therefore, their predicted labels can be corrected. When the model which is tuned by W-CR-AFM is tested on extended Cohn-Kanade (CK+), Radboud Faces database, and Amsterdam dynamic facial expression set, our approach can improve the recognition accuracy by about 3.01%, 0.49%, and 5.33%, respectively. Compared to the competing deep learning architectures with the same training data, our approach shows the better performance.
Flash Read Disturb Management Using Adaptive Cell Bit-Density with In-Place Reprogramming
(2018-01-01)
Wu, Tai-Chou
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Ma, Yu-Ping
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Chang, Li-Pin
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資訊工程學系
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Department of Computer Science
Read disturbance is a circuit-level noise induced by flash read operations. Read refreshing employs data migration to prevent read disturbance from corrupting useful data. However, it costs frequent block erasure under read-intensive workloads. Inspired by software-controlled cell bit-density, we propose to reserve selected threshold voltage levels as guard levels to extend the tolerance of read disturbance. Blocks with guard levels have a low cell bit-density, but they can store frequently read data without frequent read refreshing. We further propose to convert a high-density block into a low-density one using in place reprogramming to reduce the need for data migration. Our approach reduced the number of blocks erased due to read refreshing by up to 85% and the average read response time by up to 22%.
Organic-inorganic hybrid structures for high-resolution spatial light modulators
(2018-01-01)
Marinova, Vera
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Lin, Shiuan Huei
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Hsu, Ken Yuh
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電子物理學系
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光電工程學系
The continuing need of improvements governed by the development of all optically controlled devices providing wide broadband sensitivity, high spatial resolution and low energy consumption rapidly increase. In this paper, we review varieties of organic-inorganic hybrid structures that can be used as all optically driven high resolution spatial light modulators. In the proposed structures all optical processes are controlled by the surface activated photorefractive phenomena, typical for highly photoconductive substrates. The performed two-beam coupling measurements at Bragg match regime show prospective amplification values and sub-micron spatial resolution. The structures are easy to fabricate and their operation simple to control.
“Gangnam Style” in Dhaka and inter-Asian refraction
(Routledge, 2018)
S. R. Yoon
SAD in Education and CHEER in Practice: A Case Study of DTIT Program at NTUA
(2018-01-01)
Kreifeldt, John
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Li, Hong-lin
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Sun, Ming-Xean
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Bi, Wei
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Lin, Rungtai
Recently, the growth of Taiwan's graduate education in design fields has boomed. There are a number of well-established design programs in universities ranging from undergraduate to postgraduate and even doctoral level. In the past, the main concern was about the "capability" of design rather than the "power" of design. Currently, there are projects in Taiwan involving academia, industry and government agencies, which is an encouraging phenomenon. By blending Science, Arts and Design (S.A.D), we can bridge the gap between academia and industry to reach Collaboration, Humanity, Empathy, Ecology and Renaissance (CHEER). Therefore, this study intends to explore the relationship between SAD in education and CHEER in practice through a case study of the DTIT (Design Team In Training) program at National Taiwan University of Arts (NTUA). Results presented herein help us create an approach to examine the manners designers transform S.A.D as well as the interwoven experience of CHEER in design process. In addition, this study presents a paradigm to integrate ergonomic considerations into human performance in "pleasure" for keyboard design. In a word, we suggest that S.A.D in education and CHEER in practice through the DTIT program would be validated through more testing and evaluating in further studies.
River Width Measurement Using Sentinel-1 Satellite Data
(2018-01-01)
Hsu, Wei-Ling
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Chang, Kuan-Tsung
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Chang, Liang-Cheng
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Wang, Chih-Tien
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土木工程學系
The sentinel-1 Synthetic Aperture Radar image analysis technology is conducted to measure river width in a multitemporal change in this study. With the field surveying work, two Sentinel-1A images taken on March 14 and May 24, 2018, have been obtained. Next the SNAP data processing software can be used to produce backscattering coefficient, and the values can be converted into intensity image. Low intensity features related with water body will be helpful for river width measurement. Moreover, an UAS flight also arranged on May 24 to take 525 photos with a DJI Phantom 4 Pro UAS under flying altitude of 120 meters. The Agisoft Photoscan Professional software used to produce an ortho-mosaic image in a spatial resolution of 3.39 cm for the comparison of geometrical differences in river width measurement. According to the comparison results with manual measurement, the derived difference of river width is 1.2 meters at the Zhongtou bridge in the Wuxi river.
MAUI: Making Aging Useful, Intentionally
(2018-01-01)
Wu, Kai-Chiang
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Tseng, Tien-Hung
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Li, Shou-Chun
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資訊工程學系
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Department of Computer Science
Device aging, which causes significant loss on circuit performance and lifetime, has been a primary factor in reliability degradation of nanoscale designs. In this paper, we propose to take advantage of aging-induced clock skews (i.e., make them useful for aging tolerance) by manipulating these lime-varying skews to compensate for the performance degradation of logic networks. The goal is to assign achievable/reasonable aging-induced clock skews in a circuit, such that its overall performance degradation due to aging can be minimized, that is, the lifespan can be maximized. On average, 25% aging tolerance can be achieved with insignificant design overhead.
Multi-Target Many-Reactant Sample Preparation for Reactant Minimization on Microfluidic Biochips
(2018-01-01)
Lei, Yung-Chun
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Lin, Tien-Kuo
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Huang, Juinn-Dar
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
Sample preparation is one of essential steps in biochemical applications. It produces solutions with target concentrations through mixing various reactants in a specific way. In this paper, we propose a reactant cost minimization technique, M2SPA, for multi-target many-reactant sample preparation on microfluidic biochips through maximally sharing identical intermediate solutions among different targets. M2SPA first represents target concentrations as a recipe cube, searches all feasible candidates for intermediate solution sharing among targets, and then selects the one with the best cost saving for action. Experimental results show that the proposed algorithm can reduce up to 15.7% of reactant cost as compared to a state-of-the-art method.
Optimal Allocation of Cashiers and Pharmacists in Large Hospitals: A Point-Wise Fluid-Based Dynamic Queueing Network Approach
(2018-01-01)
Lu, Chung-Cheng
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Lin, Shih-Wei
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Chen, Hui-Ju
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Ying, Kuo-Ching
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運輸與物流管理系註：原交通所+運管所
This paper presents an optimization model for determining the optimal time-varying numbers of cashiers and pharmacists in a large hospital. The objective of this model is to minimize the weighted sum of the waiting cost incurred by patients and the operating costs incurred by the hospital. A point-wise fluid based approximation approach is adopted to construct a dynamic queuing network that takes into account time-varying (or non-stationary) arrivals of patients and describes time-varying queue lengths. The dynamic queuing network is then encapsulated in the optimization model that determines the optimal time-varying numbers of cashiers and pharmacists. A test problem instance is designed based on a large hospital in the city of Taipei, and the MINOS solver of GAMS is applied to solve the problem instance. Sensitivity analyses are also conducted to examine the impacts of customer arrival rates and service rates on the waiting cost and operational cost. Numerical results show that the optimization model can provide an optimal allocation of manpower that significantly reduces both waiting and operating costs.
Integrating eye trackers with handwriting tablets to discover difficulties of solving geometry problems
(2018-01-01)
Lin, John J. H.
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Lin, Sunny S. J.
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教育研究所
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Institute of Education
To deepen our understanding of those aspects of problems that cause the most difficulty for solvers, this study integrated eye-tracking with handwriting devices to investigate problem solvers' online processes while solving geometry problems. We are interested in whether the difference between successful and unsuccessful solvers can be identified by employing eye-tracking and handwriting. Sixty-two high school students were required to complete a series of geometry problems using pen tablets. Responses, including eye movement measures, wrote/drew trace, perceived cognitive load and questionnaires concerning the source of difficulties, were collected. The results suggested that the technique could enhance methods to diagnose difficulties by differentiating between successful and unsuccessful solvers. We considered mental rotation could be a primary obstacle in the integrating stage of diagram comprehension. The technique can be extensively applied in various instructional scenarios. Educational implications for problem solving are discussed.
Magnesium oxide use and reduced risk of dementia: a retrospective, nationwide cohort study in Taiwan
(2018-01-01)
Tzeng, Nian-Sheng
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Chung, Chi-Hsiang
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Lin, Fu-Huang
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Huang, Ching-Feng
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Yeh, Chin-Bin
Objective: Dietary magnesium may be associated with a lower risk of dementia; however, the impact of magnesium oxide (MgO), a common laxative, on dementia has yet to be elucidated. This study aimed to investigate the association between the usage of MgO and the risk of developing dementia. Methods: We used a dataset from the National Health Research Institute Database (NHRID) of Taiwan containing one million randomly sampled subjects to identify patients aged >= 50 years with no history of MgO usage. A total of 1547 patients who had used MgO were enrolled, along with 4641 controls who had not used the MgO propensity score matched by age, gender and comorbidity, at a ratio of 1:3. After adjusting for confounding risk factors, a Cox proportional hazards model was used to compare the risk of developing dementia during a 10 year follow-up period. Results: Of the enrolled patients, 44 (2.84%) developed dementia, when compared to 199 (4.28%) in the control group. The Cox proportional hazards regression analysis revealed that the patients who had used MgO were less likely to develop dementia with a crude hazard ratio of 0.617 (95% CI, 0.445-0.856, p=.004). After adjusting for age, gender, comorbidity, geographical area and urbanization level of residence, and monthly income, the adjusted hazard ratio was 0.517 (95% CI, 0.412-0.793, p=.001). Conclusions: The patients who used MgO had a decreased risk of developing dementia. Further studies on the effects of MgO in reducing the risk of dementia are therefore warranted.
Anti-communist films sponsored by the US government in Singapore and Malaya: on the New York Sound Masters Inc
(Routledge, 2018)
W.-S. Hee
Applications of an Exact Formula for the Largest Minimum Distance of Block Codes
(2018-01-01)
Chang, Ling-Hua
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Wang, Carol
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Chen, Po-Ning
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Tan, Vincent Y. F.
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Han, Yunghsiang S.
An exact information spectrum-type formula for the maximum size of finite length block codes subject to a minimum pairwise distance constraint is presented. This formula can be applied to codes for a broad class of distance measures, which only requires having the minimum value between a point and itself. As revealed by the formula, the largest code size is fully characterized by the information spectrum of the distance between two independent and identically distributed (i.i.d.) random codewords drawn from an optimal distribution. Under an arbitrary uniformly bounded distance measure, the asymptotic largest code rate (in the block length n) attainable for a sequence of (n; M; n delta)-codes is given exactly by the maximum large deviation rate function of the normalized distance between two i.i.d. random codewords.
Convolutional Neural Network based Nonlinear Classifier for 112-Gbps High Speed Optical Link
(2018-01-01)
Chuang, Chun-Yen
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Liu, Li-Chun
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Wei, Chia-Chien
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Liu, Jun-Jie
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Henrickson, Lindor
We have designed a novel convolutional neural network based nonlinear classifier that outperforms traditional Volterra nonlinear equalizers. A BER of 3.50 x 10(-6) is obtained for a 112-Gbps PAM4 EML-based optical link over 40-km SMF transmission.
AI plus Multimedia Make Better Life?
(2018-01-01)
Cheng, Wen-Huang
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Liu, Jiaying
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Kankanhalli, Mohan S.
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El Saddik, Abdulmotaleb
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Huet, Benoit
Collision-Free Motion Planning for Human-Robot Collaborative Safety under Cartesian Constraint
(2018-01-01)
Chen, Jen-Hao
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Song, Kai-Tai
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電控工程研究所
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Institute of Electrical and Control Engineering
This paper presents a real-time motion planning and control design of a robotic arm for human-robot collaborative safety. A novel collision-free motion planning method is proposed not only to keep robot body from colliding with objects but also preserve task under the Cartesian constraint of the environment. Multiple KinectV2 depth cameras are utilized to model and track dynamic obstacles (e.g. Humans and objects) inside the robot workspace. Depth images are applied to generate point cloud of segmented objects in the environment. A K-nearest neighbor (KNN) searching algorithm is used to cluster and find the closest point from the obstacle to the robot. Then a Kalman filter is applied to estimate the obstacle position and velocity. For the collision avoidance in collaborative operation, attractive and repulsive potential is generated for robot end effector based on the task specification and obstacle observation. Practical experiments show that the 6-DOF robot arm can effectively avoid an obstacle in a constrained environment and complete the original task.
20 Gbit/s Tricolor R/G/B Laser Diode based Bi-directional Signal Remodulation Visible Light Communication System
(2018-01-01)
Wei, Liang-Yu
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Hsu, Chin-Wei
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Hsu, Yung
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Chow, Chi-Wai
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Yeh, Chien-Hung
We demonstrate a bi-directional signal-remodulated visible-light-communication (VLC) system using tricolor R/G/B laser diodes to produce a 20.231-Gbit/s orthogonal-frequency-division-multiplexed (OFDM) downstream signal and 2-Mbit/s remodulated on-off-keying (OOK) upstream signal.
Saturation and beating of acoustic phonon oscillations excited near the exciton resonance of strained polar ZnO/Zn0.8Mg0.2O multiple quantum wells
(2018-01-01)
Liu, Wei-Rein
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Lin, Ja-Hon
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Chen, Jyun-Sian
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Cheng, Hsin-Ming
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Li, Sheng-Jie
Saturation and beating of coherent acoustic phonon (CAP) oscillations were observed and attributed to the screening of a built-in electric field with increasing pump power using degenerate pump-probe measurements near the exciton resonance of polar ZnO/Zn0.8Mg0.2O multiple quantum wells (MQWs). After purifying the CAP signals by using an empirical mode decomposition, we found not only that the CAP amplitude follows the trend of the band gap renormalization (BGR) and shows saturation at high pump power, but also that the CAP oscillation period coincides with that of the MQWs, consistent with the XRD and TEM results. An additional low-frequency oscillation modifying the CAP signal is revealed due to the negative change in refractive index caused by BGR as the pump power increases.
The temporal pocket: 1990s Beijing artist colonies
(Routledge, 2018)
C. Cornell