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Smartphones and relevant mobile service have greatly influenced people’s daily lives, and intense smartphone users can be commonly seen at transit stops/stations, playing with their smartphones while waiting for buses/trains. This research presents a holistic perspective for analyzing the effects of smartphone usage on transit passengers, which also considers the effects at a psychological level. Such effects may be manifested as the reduction of perceived waiting time at stops/stations against the negative emotionality induced by long waiting, such as boredom and tediousness, so as to result in improved travel experience. An on-site survey is designed and implemented over the bus system in Taipei, Taiwan, to collect the revealed responses of bus passengers in regard to waiting time perception and smartphone usage, particularly for travel-irrelevant mobile service. The survey data are modeled and analyzed in both numerical and verbal representation of perceived waiting time by using a multiple linear regression model and a cumulative proportional odds logistic model, respectively. A finite mixture model is further employed to investigate the potential heterogeneity of waiting time perception related to using smartphones for travel-irrelevant mobile service. The analysis results highlight that travel-irrelevant smartphone usage may lead to the reduction of perceived waiting, and the effect can be more significant for young passengers and those without receiving bus arrival information, especially when waiting time is prolonged. Such findings can contribute to the comprehensive consideration of passenger behavior in transit system planning and associated information/service provision strategies.

One of the major causes of non-recurrent traffic congestion in urban areas is the implementation of transport infrastructure projects on city roads. The seeming ubiquity of work zones in cities causes road user frustration and safety hazards, and public relations problems for the transport agency. For this reason, transport agencies seek strategic ways to not only select urban projects but also schedule them in a manner that minimizes the effort associated with these functions. In other words, they seek to exploit the synergies between the tasks of project selection and project scheduling while duly accommodating the project interdependencies. This study introduces a general framework that simultaneously and optimally selects and schedules urban road projects subject to budgetary constraints over a given planning horizon. The project classes considered in this study are lane addition, new road construction, and road maintenance. Through a mimicry of the classic Stackelberg leader-follower game, this problem is formulated herein as a bi-level program. In the upper level, the leader (transport agency decision-makers) determines an optimal set of projects from a larger pool of candidate projects and decides an optimal schedule for their implementation. In the lower level, the followers (road users) seek to minimize their travel delays based on the two decisions made by the leader in the upper level. The numerical experiments show that if the decision-makers do not consider the peri-implementation capacity reduction, the resulting set of selected projects and their construction schedule can lead to significant travel delay cost for the road users.

Intercity railway system operation on national holidays can be challenging because of possible surging demand. This study proposes an analysis framework to investigate railway system ridership data on national holidays, seeking to attain better understanding of relevant intercity trip patterns, so as to enable enhanced preparation and response before and during national holidays. The ridership data are analyzed in the form of Origin–Destination (O-D) tables and regarded as pictures of N × N pixels, where N is the number of the considered stations/cities in a railway system. The framework primarily adopts a deep auto-encoder to process these pictures to reduce data dimensions and abstracting key features within these pictorial data. Based on the abstracted features, k-means clustering is then conducted to categorize the O-D tables with similar trip patterns into the same group. Further, a discrete outcome model based on logistic regression is developed on the clustering results to enhance the interpretation of the trip pattern in each group and identify the significant holiday-related characteristics and external factors that can affect the trip pattern generation. The ridership data of Taiwan Railways Administration associated with 38 national holidays from January 2014 to August 2018 are analyzed. The analysis results highlight insightful interpretation in relation to clustered trip patterns and relevant trip characterization relative to various national holidays. The proposed framework and developed discrete outcome model are also validated, showing 85% correct assignments of O-D tables to the groups of relevant trip patterns.

A series of layered double hydroxides (MgxAl-LDHs) catalysts is successfully prepared and effectively transesterificated triglycerides to produce biodiesel and glycerol carbonate, respectively. MgxAl-LDHs catalysts are synthesized by changing the Mg/Al ratio of the LDH hosts and fully characterized by several techniques, including XRD, N2 adsorption, SEM. The effects of ratios of Mg/Al catalyst, reaction temperature, catalyst dosage are thoroughly investigated to determine the optimal reaction conditions. A yield of biodiesel and glycerol carbonate could reach up to 87.5% and 93.4%, respectively, over Mg5Al-LDHs catalyst under batch condition. The transesterification glycerol for glycerol carbonate is successfully carried out in a stirring packed-bed reactor with MgxAl-LDHs coating on the spherical α-Al2O3 catalysts. Additionally, extra-particle mass transfer and intra-particle diffusion do not control the reaction rate. The yield of glycerol carbonate could reach up to 80.2% over Mg5Al-LDHs/α-Al2O3 catalyst.

Mixed-integer linear programming models and a heuristic algorithm are proposed for the transfer synchronization planning of bus timetables. The most important novelty of the proposed methodology is that the bus timetables and passenger choices of travel paths are simultaneously optimized in the model. The possibilities of transfer synchronization are fully explored in the timetable optimization because passengers select their paths to the destination in response to the timetables. Hence, bus timetables can be planned with high precision, and bus timetabling can be improved.

In this study, a series of 2,2′ and 3,3′ substituted thienoisoindigo (TII)-based small molecules (H3–H7) were synthesized by using 1,3-di(9H-carbazol-9-yl) benzene, N-phenylcarbazole, triphenylamin...

In this manuscript, a series of amine tagged short cyclic molecules (cyclopropylamine, cyclobutylamine, cyclopentylamine and cyclohexylamine) were thermally grafted onto p-type silicon (111) hydride surfaces via nucleophilic addition. The chemistries of these grafting were verified via XPS, AFM and sessile droplet measurements. Confocal microscopy and cell viability assay was performed on these surfaces incubated for 24 hours with triple negative breast cancer cells (MDA-MB 231), gastric adenocarcinoma cells (AGS) endometrial adenocarcinoma (Hec1A). All cell types had shown a significant reduction when incubated on these ring-strain cyclic monolayer surfaces than compared to standard controls. The expression level of focal adhesion proteins (vinculin, paxilin, talin and zyxin) were subsequently quantified for all three cell types via qPCR analysis. Cells incubate on these surface grafting were observed to have reduced levels of adhesion protein expression than compared to positive controls (collagen coating and APTES). A potential application of these anti-adhesive surfaces is the maintenance of the chondrocyte phenotype during in-vitro cell expansion. Articular chondrocytes cultured for 6 days on ring strained cyclopropane-modified surfaces was able to proliferate but had maintained a spheroid/aggregated phenotype with higher COL2A1 and ACAN gene expression. Herein, these findings had help promote grafting of cyclic monolayers as an viable alternative for producing antifouling surfaces.

We studied the electrical conductance of single-molecule junctions formed from molecular wires with four anchor groups. Three tetraphenyl-aza-BODIPYs with four or two thiomethyl anchor groups were synthesized, and their single-molecule conductance was measured using break-junction-STM. Using DFT based calculations these compounds were shown to display a combination of a high and low conductance, depending on the molecule's connectivity in the junction. A scissor correction is employed to obtain the corrected HOMO-LUMO gaps and a tight binding model (TBM) is used to highlight the role of transport through the pi system of the tetraphenyl-aza-BODIPY central unit. The three higher-conductance geometries follow the sequence 3 > 4 > 2, which demonstrates that their conductances are correlated with the number of anchors.

A series of thienoisoindigo (TII)-based dyes (TII 1–4) using different electron-donating moieties (D) and π-linkers were synthesized. The experimental results show that the maximum absorption band of TII 1–4 was located at 611–749 nm. Moreover, their absorption onset was extended to 741–901 nm that covers the near infrared (NIR) region. The bulk-heterojunction solar cell device fabricated by using TII 3/PC61BM as the active layer exhibited a power conversion efficiency (PCE) of 0.82%, showing the potential of TII-based dyes for NIR organic photovoltaics (OPVs). In order to study the structural effect of dyes on the PCE of solar cells, we further designed four TII-based dyes (TII 5–8) and the photophysical and photovoltaic properties for TII 1–8 were investigated through theoretical calculations. Calculated results demonstrate that carbazole group, whose has strong electron-donating ability than D moieties in this study, leads to generate long lifetime of the first excited state and whose generate large short-circuit current (Jsc). Thiophene group, whose has weak resonance energy than other π-linkers, can improve the π delocalization effect throughout whole molecule and generate large open-circuit voltage (Voc). According to these results, TII 3 and TII 8 with the carbazole as D moiety and thiophene as π-linker should be useful in development of a new SM-OPV device.

After the Fukushima Daichii accidents, Taiwan Power Company developed a strategy to cope with such extended SBO (Station Blackout) cases at nuclear power plants, which called URG. The MAAP and PCTRAN were used to perform the study for Kuosheng BWR/6 nuclear power plant (NPP) ultimate response guideline (URG). The main actions of URG are the depressurization and low pressure water injection of the reactor and the venting of the containment. This study focuses to confirm the URG efficiency. The analysis results depict that following the URG, the fuel can be covered by the coolant, no exposure. It can also prevent the radiation release and the large evacuation. It indicated that Kuosheng NPP was at the safe situation. It shows that the two-step depressurizations can extend the time of the preparation of alternate water source. The minimum injection rate to prevent the fuel to expose is 192 gpm in MAAP.

The economics research suggests that firms can use trade-ins as a revenue management device for price discrimination between new and replacement buyers of durabprle goods. Offering different prices to different groups of customers creates a market segmentation effect. This study examines such an effect by considering trade-ins and certified pre-owned options for a durable goods firm, where certified pre-owned (CPO) represents the used goods market generated from the return flow of trade-in transactions. The optimal pricing and/or trade-in rebate is determined, and the strategic choice between the two options is examined. An analytical model is developed that incorporates the key durable goods features into model formulation, specifically the deterioration rate (or durability in a reverse measure) and the variation in quality of the used goods. Our research findings indicate that: (i) the magnitude of trade-in rebates increases with the deterioration rate and quality variation; (ii) the segmentation effect outweighs the cannibalization effect when the deterioration rate is moderately high; (iii) the strategic choice of trade-ins and CPO options is critically dependent on these two features; and (iv) the majority of profit improvement is generated from trade-in provisions, although the CPO option can serve as a second profit boosting device.

Household chores service is one of the desirable functions for a service robot. Object classification is the most important function when searching for objects. We consider that the major concern is that the robot should not misclassify the object. If the robot misclassifies household object images, it will then perform the household tasks with the wrong object. This may cause serious damages to a service robot and to the user. This concept gives us the insight that the precision of the classification must be very high by setting a confidence threshold so that it then can claim a reliable service robot. By exploring this concept, we develop a more convincing indicator, Classification Reliability, to reveal the reliability of deep learning model. Moreover, we develop a fine-tune rule base to continuously regenerate more proper training dataset for the CNN model to increase reliability. Experimental results demonstrate that the CNN model fine-tuned by our closed-loop system achieves the reliability which is higher than the other similar effects such as DenseNet on the CIFAR-10 dataset.

Image captioning is a high-level task that generates the context scenario descriptions from an image. There are many ways to implement such kinds of ability that can generate a smooth sentence about the context scenario. Because of the open and extensive domain of the dataset, seldom of them can really help people to get the meaningful information of a specified scenario. In this paper, we propose a novel framework called Human-Aware Context Generator (HACG). We adopt the concept of dividing and conquer, which combines the ability of face recognition and facial expression recognition while retaining the capability of image caption model. This model aims to offer a significant context scenario sentence to the people, especially for those who are urgent to master the overall situation.

Image caption generation is a task that generates a sentence from a raw image, which is mimicking the intelligence of human that can acquire knowledge from the view. The difficulty of this task is the combination of multimodal knowledge learning, i.e. recognition of objects, actions, scenes, human, etc. In order to perform semantic understanding for service robotics or other industrial applications, the caption must be enhanced for recognition of the objects in the confined environment. We propose a template-based augmentation method for improving the capability of object recognition while retaining the other capability of the image caption model. This work opens a new era of image caption generation training procedure that the caption dataset and the classification dataset can be combined to train the deep captioning model. We show in our experiments that our improved model outperforms the original model in SPICE metrics by 4 times.

Chemical modification of phenothiazine–benzophenone derivatives is shown to tune the emission behavior from triplet states by selecting the molecular geometry of the intramolecular charge transfer (ICT) state. A fundamental principle of planar ICT (PICT) and twisted ICT (TICT) is demonstrated to obtain selectively either room temperature phosphorescence (RTP) or highly efficient thermally activated delayed fluorescence (TADF), respectively. Time‐resolved spectroscopy and time‐dependent density functional theory (TD‐DFT) investigations on polymorphic single crystals demonstrate the roles of PICT and TICT states in the underlying photophysics. This has resulted in a RTP molecule OPM, where the triplet states contribute with 89% of the luminescence, and an isomeric TADF molecule OMP, where the triplet states contribute with 95% of the luminescence.

Erbium-doped magnesium zinc oxides were prepared through spray pyrolysis deposition at 450 &deg, C with an aqueous solution containing magnesium nitrate, zinc acetate, erbium acetate, and indium nitrate precursors. Diodes with different erbium-doped magnesium zinc oxide thicknesses were fabricated. The effect of erbium-doped magnesium zinc oxide was investigated. The crystalline structure and surface morphology were analyzed using X-ray diffraction and scanning electron microscopy. The films exhibited a zinc oxide structure, with (002), (101), and (102) planes and tiny rods in a mixed hexagonal flakes surface morphology. With the photoluminescence analyses, defect states were identified. The diodes were fabricated via a metallization process in which the top contact was Au and the bottom contact was In. The current&ndash, voltage characteristics of these diodes were characterized. The structure resistance increased with the increase in erbium-doped magnesium zinc oxide thickness. With a reverse bias in excess of 8 V, the light spectrum, with two distinct green light emissions at wavelengths of 532 nm and 553 nm, was observed. The light intensity that resulted when using a different operation current of the diodes was investigated. The diode with an erbium-doped magnesium zinc oxide thickness of 230 nm shows high light intensity with an operational current of 80 mA. The emission spectrum with different injection currents for the diodes was characterized and the mechanism is discussed.

Vehicular Ad Hoc Network (VANET), containing access points free for wireless transmission, is now developed for V2V and V2I communication, in order to improve traffic safety, provide services and further support the implementation of the automated driving mode. However, the most important issue is how to develop an efficient VANET protocol, particularly corresponding to reduce transmission latency when routing. This paper proposes a novel multi-hop routing algorithm to accomplish message transmission via the nodes participating in the given vehicular ad-hoc network. According to the testing result, the proposed protocol is acceptable.

Unpredictable and no-notice disasters such as flash floods and wildfires, have been increasing. Under such circumstances, large-scale evacuation is required and the population may not be able to be effectively relocated in time from the disaster-threatened zone. The evacuees may be risking their lives during evacuation traveling toward the designated shelters/safety zones. A Shelter-In-Place (SIP) strategy is proposed to provide immediate avoidance of hazards for communities. This study develops the optimization models to determine SIP deployment and evacuee assignment for the case of vertical evacuation (VE) in response to dam-break floods. Compared with general shelters located outside evacuation areas, SIPs are designed to be reachable on foot upon the occurrence of sudden disasters. Accessibility of SIPs is one of the primary concerns in the problem context of determining their locations. Multi-class evacuees are addressed in the SIP strategy, particularly for the elderly in consideration of their vulnerability in disasters and heterogeneous walking speed across different classes. Additionally, the spatially-varying risk over the disaster-threatened areas is also considered in the model. A dam failure scenario causing flooding is studied for Tucheng District, New Taipei City, Taiwan. The case study illustrates the effects of spatial risk consideration, elderly priority, and coverage distance on the optimal solution of shelter locations. The extent of improvement in emergency planning is also fundamentally related to the population distribution in the study area.

Summary Over the last decades, several approaches have been proposed in the literature to incorporate users' perceptions of travel costs, their bounded rationality, and risk-taking behaviors into network equilibrium modeling for traffic assignment problem. While theoretically advanced, these models often suffer from high complexity and computational cost and often involve parameters that are difficult to estimate. This study proposes an alternative approach where users' imprecise perceptions of travel times are endogenously constructed as fuzzy sets based on the probability distributions of random link travel times. Two decision rules are proposed accordingly to account for users' heterogeneous risk-taking behaviors, that is, optimistic and pessimistic rules. The proposed approach, namely, the multiclass fuzzy user equilibrium, can be formulated as a link-based variational inequality model. The model can be solved efficiently, and parameters involved can be either easily estimated or treated as factors for calibration against observed traffic flow data. Numerical examples show that the proposed model can be solved efficiently even for a large-scale network of Mashhad, Iran, with 2538 links and 7157 origin–destination pairs. The example also illustrates the calibration capability of the proposed model, highlighting that the model is able to produce much more accurate flow estimates compared with the Wardropian user equilibrium model. Copyright © 2016 John Wiley & Sons, Ltd.

Summary This study seeks to online calibrate the parameters of aggregate evacuee behavior models used in a behavior-consistent information-based control module for determining information strategies for real-time evacuation operations. It enables the deployment of an operational framework for mass evacuation that integrates three aspects underlying an evacuation operation: demand (evacuee behavior), supply (network management), and disaster characteristics. To attain behavior-consistency, the control module factors evacuees' likely responses to the disseminated information in determining information-based control strategies. Hence, the ability of the behavior models to predict evacuees' likely responses is critical to the effectiveness of traffic routing by information strategies. The mixed logit structure is used for the aggregate behavior models to accommodate the behavioral heterogeneity across the population. An online calibration problem is proposed to calibrate the random parameters in the behavior models by using the least square estimator to minimize the gap between the predicted network flows and unfolding traffic dynamics. Background traffic, an important but rarely studied issue for modeling evacuation traffic, is also accounted for in the proposed problem. Numerical experiments are conducted to illustrate the importance of the calibration problem for addressing the system consistency issues and integrating the demand, supply, and disaster characteristics for more efficient evacuation operations. Copyright © 2016 John Wiley & Sons, Ltd.

Travel time prediction has been the fundamental brick for developing both Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS). The problem of travel time prediction is primarily shaped by the data available for model development and the needs from the perspectives of both travelers and operators. A distance-based Electronic Toll Collection (ETC) system over the freeway system in Taiwan has been fully implemented since December 2013, which provides more comprehensive online data acquisition of freeway traffic conditions, thereby enabling the capability to more reliably predict of travel time over freeway segments. Based on the data from both the ETC system and traditional Vehicle Detectors (VDs), this research proposes a travel time prediction approach whose core technique of data fusion seeks to seamlessly capture the spatio-temporal pattern of freeway traffic flows by matching traffic dynamics revealed from the ETC and VD data. Further, prediction models are constructed thereupon, where the Kalman filter is employed for short-term prediction and the Fourier transform for long-term prediction based on the continuous parameterized modeling of spot travel speed. The proposed approach is implemented as an online deployable system using Java, together with real-world data collected from the freeway in Taiwan, for the numerical experiments. The prediction errors are no greater than 10% in most cases, which illustrates the high accuracy of prediction capability of the model. The encouraging results also highlight the benefits of the pre-processing of data and data fusion in improving data quality and applicability.

Bikesharing systems have been expanding rapidly. They are recognized as a strategic tool to integrate transit and to foster sustainable transportation in urban areas. A critical problem that arises in the planning and deployment of a bikesharing system lies in demand–supply imbalance as the result of the spatiotemporal dynamics of demand patterns. The problem manifests itself in situations in which no bikes are available to rent and no docks are available for bike return at certain popular stations. This study developed a framework for modeling user behavior in response to such situations. Particular emphasis was placed on user on-site choice behavior and the behavioral aspect related to wait time if a decision to wait for the next bike or dock was made. These behaviors were approached with the use of a discrete choice model and a duration model, respectively. Further, a discrete-continuous process was proposed to address the potential interrelation that existed between the choice to wait and the length of waiting time to be endured. Within the developed framework, the models were estimated on the basis of the data from a revealed preference–stated preference survey conducted on the YouBike system in Taipei, Taiwan. The estimation results provided insights into user familiarity and uncertainty toward the system, travel situation, or environment and the associated effects on user behavior of a bikesharing system under a demand–supply imbalance.

In this study, the spray pyrolysis method was used to prepare unintentionally doped and nitrogen-doped calcium zinc oxide films by using zinc acetate, calcium nitrate precursor, and ammonium acetate precursor. Morphological and structural analyses were conducted using scanning electron microscopy and X-ray diffraction. The results indicated that film grain size decreased as the nitrogen doping was increased. Both calcium oxide and zinc oxide structures were identified in the unintentionally doped calcium zinc oxide. When nitrogen doping was introduced, the film mainly exhibited a zinc oxide structure with preferred (002) and (101) orientations. The concentration and mobility were investigated using a Hall measurement system. P-type films with a mobility and concentration of 10.6 cm 2 V −1 s −1 and 2.8×10 17 cm −3 , respectively, were obtained. Moreover, according to a temperature-dependent conductivity analysis, an acceptor state with activation energy 0.266 eV dominated the p-type conduction for the unintentionally doped calcium zinc oxide. By contrast, a grain boundary with a barrier height of 0.274–0.292 eV dominated the hole conduction for the nitrogen-doped calcium zinc oxide films.

Diodes with an erbium and nitrogen codoped magnesium zinc oxide (MgZnO:Er,N) active layer were fabricated by spray pyrolysis on Si substrate with aqueous solutions including magnesium nitrate, zinc acetate, erbium acetate, ammonium acetate, and indium nitrate precursors. Diodes with different nitrogen content in their precursor were prepared and their properties were investigated. With scanning electron microscopy, film surface with mixed hexagonal flakes and tiny blocks was characterized for all samples. Certain morphologies varied for samples with different N contents. In the photoluminescence analyses, the intensity of the oxygen-related defects peak increased with the increasing of nitrogen content. The diodes were fabricated with an Au and In deposition on the top and backside. The diode current&ndash, voltage as well as capacitance&ndash, voltage characteristics were examined. An ununiformed n-type concentration distribution with high concentration near the interface in the MgZnO:Er,N layer was characterized for all samples. Diodes with high nitrogen content exhibit reduced breakdown voltage and higher interface concentration characteristics. Under reversed bias conditions with an injection current of 50 mA, a light spectrum with two distinct green emissions around wavelengths 532 and 553 nm was observed. A small spectrum variation was characterized for diodes prepared from different nitrogen content. The diode luminescence characteristics were examined and the diode prepared from N/Zn=1 in the precursor showed an optimal injection current-to-luminescence property. The current and luminescence properties of the diode were characterized and discussed.

Improving the spatial alignment of emitting molecules has long been a goal of organic-light-emitting-diode development to improve device efficiencies and to generate polarized emission. Herein we describe a simple approach employing Sonogashira coupling with alkyne iridium(phenylpyridine)2(acetylacetone) synthons (2-5) to generate eight linear iridium complexes (6-13) with crystallographically determined lengths of up to 5 nm. By embedding these "long" complexes into a polymer matrix and stretching it, an improvement of the polarization ratio of unstretched and stretched films of up to 7.1 times was achieved. Additionally, through the inclusion of "twists" in the complexes, the electronic coupling between the iridium center and substituent was controlled, giving a system where the emission behavior is independent of the length.

The color bleeding problem remains a challenging issue in image colorization. That is, different objects share the same color when they are nearby, leading to the boundary between objects looks unnatural. In this paper, we study how to combine depth information into a neural network and achieve better image colorization. The reasons to integrate depth information are twofold: (1) Depth information clearly provides boundary information between objects, and (2) depth information is commonly available as the development of RGB-D cameras. To the best of our knowledge, depth information was not considered in image colorization before. We evaluate the proposed method from both objective and subjective perspectives, and demonstrate that better colorization results can be obtained when depth information is further considered.

Distributed denial-of-service (DDoS) attacks are deemed a serious threat to Internet services. A common solution to mitigate the attacks is to redirect traffic to scrubbing centers (SCs) for traffic classification and DDoS filtering. However, the capacity and locations of SCs should be pre-determined, and traffic redirection to SCs also give rise to extra network footprint and long latency. In this work, we present a solution based on network function virtualization (NFV) to launch scrubbing functions on demand and software-defined networking (SDN) to redirect traffic to these functions. We propose a lightweight probing strategy to identify anomalous traffic and the victim, and allocate virtual scrubbing functions close to the victim to minimize network footprint and network latency. We simulate a proof-of-concept design in Mininet to demonstrate its operation. The evaluation shows 96.6% of DDoS packets can be mitigated with the response time of one second.

In this work, an effective energy-saving device is proposed to extract wave energy and convert to useful propulsive thrust for a merchant ship travelling in waves. Eco-Ship was internationally introduced and aimed to reduce carbon dioxide emission generated from ships. The energy-saving device equipped underneath the front part of the ship model of general merchant ships that inspired by marine mammals is investigated in this work. An active control of pitch-oscillating bow fin with NACA0016 section is applied as an effective energy-saving device in this work. Free-running model test using a 1/50th scale model of a container ship was conducted for validating the effectiveness of this device. The ship speed, ship motion, angle of bow fin and power consuming are measured and recorded. There are two kinds of wavelength to ship length ratio of regular wave in the experiments with fixed propeller speed. Based on different heave motion, the different pitch angle of bow fin is controlled to obtain the extra energy from wave. The experimental results shows the feasibility of the energy-saving device when the phase lead of the bow fin pitch motion with respect to its heave motion set in a proper range between 60 degree to 200 degree. When the ratios of wavelength to ship length are 1.0 and 1.3, the maximum of power efficiency improving are around 6.5% and 18.9% respectively. The experimental results demonstrated that the proposed device is effective to enhance ship speed and save energy for achieving the goal of Eco-Ship.