On-site Trip Planning Support System Based on Dynamic Information on Tourism Spots

Recently, due to the drastic increase in foreign tourists coming to Japan, there has been a demand to provide smart tourism services that enable inbound tourists to comfortably enjoy sightseeing. To provide satisfactory experiences for tourists, it is desirable to provide tourist information in a timely manner by considering dynamic information, which is information that changes over time, such as current congestion information in destination spots and travel route information, in addition to static information, such as the preferences and profiles of tourists. However, in many existing systems, serious problems occur, such as (1) a lack of support for on-site use, (2) a lack of consideration of dynamic information, and (3) heavy burden on tourists. In this paper, we propose a novel system that can provide tourism plans for tourism spots in a timely manner. The proposed system consists of the following two key mechanisms: (A) A mechanism for acquiring preference information from tourists (including preference on dynamic information); (B) a curation mechanism for realizing on-site tourism. To demonstrate the effectiveness of the proposed system, we carried out evaluation experiments utilizing real tourism spots and simulations. As a result, we obtained the following primary findings: (1) On-site tourism spot recommendation is effective for tourists who do not make detailed tourism plans before sightseeing; (2) preference information for participants can be reflected in the tourism spot recommendation while massively reducing the burden on participants; (3) it is possible to obtain a higher satisfaction level than is achieved with model courses, which are often used for sightseeing.

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Improving the Detection of the Contact Point in Active Sensing Antennae by Processing Combined Static and Dynamic Information

Sensors ◽

10.3390/s21051808 ◽

2021 ◽

Vol 21 (5) ◽

pp. 1808

Author(s):

Luis Mérida-Calvo ◽

Daniel Feliu-Talegón ◽

Vicente Feliu-Batlle

Keyword(s):

Contact Point ◽

Load Cell ◽

Robotic Systems ◽

Accurate Estimation ◽

Flexible Beam ◽

Dynamic Information ◽

New Developments ◽

Static Information ◽

Insect Antennae ◽

Flexible Antenna

The design and application of sensing antenna devices that mimic insect antennae or mammal whiskers is an active field of research. However, these devices still require new developments if they are to become efficient and reliable components of robotic systems. We, therefore, develop and build a prototype composed of a flexible beam, two servomotors that drive the beam and a load cell sensor that measures the forces and torques at the base of the flexible beam. This work reports new results in the area of the signal processing of these devices. These results will make it possible to estimate the point at which the flexible antenna comes into contact with an object (or obstacle) more accurately than has occurred with previous algorithms. Previous research reported that the estimation of the fundamental natural frequency of vibration of the antenna using dynamic information is not sufficient as regards determining the contact point and that the estimation of the contact point using static information provided by the forces and torques measured by the load cell sensor is not very accurate. We consequently propose an algorithm based on the fusion of the information provided by the two aforementioned strategies that enhances the separate benefits of each one. We demonstrate that the adequate combination of these two pieces of information yields an accurate estimation of the contacted point of the antenna link. This will enhance the precision of the estimation of points on the surface of the object that is being recognized by the antenna. Thorough experimentation is carried out in order to show the features of the proposed algorithm and establish its range of application.

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Timeliness-Aware On-Site Planning Method for Tour Navigation

Smart Cities ◽

10.3390/smartcities3040066 ◽

2020 ◽

Vol 3 (4) ◽

pp. 1383-1404 ◽

Cited By ~ 1

Author(s):

Shogo Isoda ◽

Masato Hidaka ◽

Yuki Matsuda ◽

Hirohiko Suwa ◽

Keiichi Yasumoto

Keyword(s):

Computation Time ◽

Time Of Day ◽

Limited Resources ◽

Points Of Interest ◽

Dynamic Factors ◽

Static Information ◽

Site Use ◽

Np Hard Problem ◽

Site Planning ◽

Tourist Information

In recent years, there has been a growing interest in travel applications that provide on-site personalized tourist spot recommendations. While generally helpful, most available options offer choices based solely on static information on places of interest without consideration of such dynamic factors as weather, time of day, and congestion, and with a focus on helping the tourist decide what single spot to visit next. Such limitations may prevent visitors from optimizing the use of their limited resources (i.e., time and money). Some existing studies allow users to calculate a semi-optimal tour visiting multiple spots in advance, but their on-site use is difficult due to the large computation time, no consideration of dynamic factors, etc. To deal with this situation, we formulate a tour score approach with three components: static tourist information on the next spot to visit, dynamic tourist information on the next spot to visit, and an aggregate measure of satisfaction associated with visiting the next spot and the set of subsequent spots to be visited. Determining the tour route that produces the best overall tour score is an NP-hard problem for which we propose three algorithms variations based on the greedy method. To validate the usefulness of the proposed approach, we applied the three algorithms to 20 points of interest in Higashiyama, Kyoto, Japan, and confirmed that the output solution was superior to the model route for Kyoto, with computation times of the three algorithms of 1.9±0.1, 2.0±0.1, and 27.0±1.8 s.

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Gait Recognition Using GEI and AFDEI

International Journal of Optics ◽

10.1155/2015/763908 ◽

2015 ◽

Vol 2015 ◽

pp. 1-5 ◽

Cited By ~ 9

Author(s):

Jing Luo ◽

Jianliang Zhang ◽

Chunyuan Zi ◽

Ying Niu ◽

Huixin Tian ◽

...

Keyword(s):

Nearest Neighbor ◽

Gait Recognition ◽

Dynamic Information ◽

Static Information ◽

Gait Feature ◽

Time Requirements ◽

The Common ◽

The Moment ◽

Neighbor Classifier ◽

Better Than

Gait energy image (GEI) preserves the dynamic and static information of a gait sequence. The common static information includes the appearance and shape of the human body and the dynamic information includes the variation of frequency and phase. However, there is no consideration of the time that normalizes each silhouette within the GEI. As regards this problem, this paper proposed the accumulated frame difference energy image (AFDEI), which can reflect the time characteristics. The fusion of the moment invariants extracted from GEI and AFDEI was selected as the gait feature. Then, gait recognition was accomplished using the nearest neighbor classifier based on the Euclidean distance. Finally, to verify the performance, the proposed algorithm was compared with the GEI + 2D-PCA and SFDEI + HMM on the CASIA-B gait database. The experimental results have shown that the proposed algorithm performs better than GEI + 2D-PCA and SFDEI + HMM and meets the real-time requirements.

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AIS Development in Recent Years and Message Decoding

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.536-537.776 ◽

2014 ◽

Vol 536-537 ◽

pp. 776-781

Author(s):

Chen Xu ◽

Ling Long Kong

Keyword(s):

Software Development ◽

Monitoring System ◽

Technical Support ◽

Automatic Identification ◽

Identification System ◽

Dynamic Information ◽

Development Environment ◽

Marine Monitoring ◽

Software Development Environment ◽

Static Information

Based on the development of ship borne Automatic Identification System (AIS) and the expansion of AIS application in maritime management, in this paper, we expound AIS Development in recent years, summarize the additional content of Recommendation ITU-R M.1371-4, analyze the format of AIS message, realize the decoding of AIS message in software development environment and store the dynamic information and static information of the ship to the database, thus provide technical support in marine monitoring system.

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Knowing Which Day of the Week it is: Temporal Structure and Dynamics of Memory

Psychological Reports ◽

10.2466/pr0.102.3.893-902 ◽

2008 ◽

Vol 102 (3) ◽

pp. 893-902 ◽

Cited By ~ 3

Author(s):

Ophélie Carreras ◽

Céline Lemercier ◽

Marie-Françoise Valax

Keyword(s):

Time Management ◽

Temporal Structure ◽

General Context ◽

Dynamic Information ◽

Wrong Response ◽

Temporal Representation ◽

Static Information ◽

Complementary Role ◽

The Future ◽

Sense Of Time

The complementary role of static and dynamic information used when one needs to be located in time was studied. Static information refers to temporal knowledge about days of the week, and dynamic information reflects a sense of time, taking into account the present, the near past, and the future. Each day of an actual 7-day wk., 699 women and 620 men were asked to provide a “right” or “wrong” response to a statement such as “Today is T.,” where X was the name of one of the seven days of the week. Analysis suggested use of a structured temporal representation of the week: the weekend, a landmark, had an anchoring role. Also the dynamics of the content of working memory were indicated. The active “temporal window” participants hold in mind seems directed more towards the future than the past. Results are discussed within the more general context of time management.

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INFORMATION-BASED EVACUATION EXPERIMENT AND ITS CELLULAR AUTOMATON SIMULATION

International Journal of Modern Physics C ◽

10.1142/s0129183109014618 ◽

2009 ◽

Vol 20 (10) ◽

pp. 1583-1596 ◽

Cited By ~ 11

Author(s):

LIZHONG YANG ◽

SHAOBO LIU ◽

JIAN LI ◽

KONGJIN ZHU ◽

TINGYONG FANG

Keyword(s):

Cellular Automaton ◽

Simulation Method ◽

Spatial Distance ◽

Building Structure ◽

Dynamic Information ◽

Distance Information ◽

Fire Alarm ◽

Static Information ◽

Crowd Movement ◽

Movement Simulation

The evacuation process under emergency is studied by means of experiments and simulations, focusing on the influence of the environment information. A revised cellular automaton model in which environment information is considered as "static information" (building structure, spatial distance, etc.) and "dynamic information" (sounds of fire alarm, etc.) is introduced. Two scenarios, including evacuation with and without visibility in a classroom, are studied to investigate the different influence of the two kinds of information on human behavior. The experimental and simulation results demonstrate that: (1) to intensify the spatial distance information can reduce the evacuation time; (2) the spatial distance is not the only decisive factor especially in evacuation without visibility because the sound information, which is ignorable in evacuation with visibility, is playing a more important role under this condition; (3) the intensity of static information can reflect evacuees' familiarity of the environment; (4) the model can reproduce the experiments well, and the simulation method is useful for further study of the crowd movement simulation.

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FOURNIER'S SYNDROME RECURRENCE

Revista de Patologia do Tocantins ◽

10.20873/uft.2446-6492.2019v6n2p35 ◽

2019 ◽

Vol 6 (2) ◽

pp. 35-37

Author(s):

Viviane de Deus Silva ◽

Luis Fernando Barbosa Silva ◽

João Guilherme Silva Oliveira ◽

Larissa Mendonça Ferreira ◽

Pedro Manuel Gonzalez Cuellar

Keyword(s):

Mortality Rate ◽

Medical Practice ◽

Surgical Techniques ◽

Tissue Loss ◽

Lower Abdomen ◽

Timely Manner ◽

Necrotizing Infection ◽

Changes Over Time ◽

Over Time ◽

Grade Iii

The Fournier’s Syndrome is characterized by a necrotizing infection that can affect regions such as perineum, thighs, scrotum, thigh roots and lower abdomen. It begins insidiously, but progresses with great tissue loss and is of difficult handling. It is an uncommon morbidity of the population at large. Recurrence is poorly documented, which makes its occurrence atypical in medical practice. The mortality rate varies from 10% to 30.8% in Brazil without changes over time despite advances in technology and in surgical techniques. The objective of this study is to demonstrate a recurrence of the syndrome in a male, 46-year-old patient, with diabetes, hypertension and grade III obesity. The patient was treated in a timely manner with satisfactory clinical and aesthetic outcomes.

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Emergency Simulation Exercise System Research Based on the Dynamic Information Repository

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.846-847.1546 ◽

2013 ◽

Vol 846-847 ◽

pp. 1546-1549

Author(s):

Chun Bo Dong

Keyword(s):

Data Processing ◽

Dynamic Environment ◽

Static Model ◽

Simulation System ◽

System Research ◽

Timely Manner ◽

Dynamic Information ◽

Static Data ◽

Drilling Simulation ◽

Information Repository

The existing emergency virtual drilling simulation system is built on a set or more sets of static database. Case is extracted from the database or randomly generated from the database according to the condition system.It is basicly static data. The happening and development of the emergency is of great uncertainty, and it is constantly changing with the change of the environment and the rescue process. This article builds a set of dynamic database in the original virtual exercise simulation system, in order to join accident flexibly in the event processing node, and simulate dynamic environment conditions at that time in a timely manner. Data processing model that is by the combination of dynamic and static model can simulate disaster occurrence and development more realisticly and accurately.

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EFFICIENT ROUTING STRATEGY ON SCALE-FREE NETWORKS

Modern Physics Letters B ◽

10.1142/s021798490901951x ◽

2009 ◽

Vol 23 (11) ◽

pp. 1377-1389

Author(s):

GANG YU ◽

XIAN-PENG WANG ◽

HONG-TAO LU

Keyword(s):

Queue Length ◽

Modern Society ◽

Node Degree ◽

Dynamic Information ◽

Scale Free ◽

Routing Strategy ◽

Static Information ◽

New Strategy ◽

Crucial Part ◽

Selection Of

With the development of information technology, networks become a crucial part in modern society. Therefore, the improvement in routing strategy of networks is of great importance and significance. For the purpose of improving the efficiency of network traffic, we propose a new routing strategy with two tunable parameters based on local information of network. In our strategy, we include the static information, node degree, and dynamic information, buffer queue length, to guide the selection of the next transmission node. Since the importing of buffer queue length information, packets can be distributed more evenly in the network, which can reduce the congestion possibility of network. In addition, for the sake of evaluation of a routing strategy, we propose four criterions to assess the performance of network. Based on the four criterions, we first compare the experimental results of our strategy with the original strategy only including node degree information and then give some insights of our new strategy according to the simulation results.

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A Simhash-Based Integrative Features Extraction Algorithm for Malware Detection

Algorithms ◽

10.3390/a11080124 ◽

2018 ◽

Vol 11 (8) ◽

pp. 124 ◽

Cited By ~ 1

Author(s):

Yihong Li ◽

Fangzheng Liu ◽

Zhenyu Du ◽

Dubing Zhang

Keyword(s):

Feature Extraction ◽

Malware Detection ◽

Application Programming Interface ◽

Classification Performance ◽

Detection Performance ◽

Machine Learning Algorithms ◽

Dynamic Features ◽

Dynamic Information ◽

Static Information ◽

Extraction Algorithm

In the malware detection process, obfuscated malicious codes cannot be efficiently and accurately detected solely in the dynamic or static feature space. Aiming at this problem, an integrative feature extraction algorithm based on simhash was proposed, which combines the static information e.g., API (Application Programming Interface) calls and dynamic information (such as file, registry and network behaviors) of malicious samples to form integrative features. The experiment extracts the integrative features of some static information and dynamic information, and then compares the classification, time and obfuscated-detection performance of the static, dynamic and integrated features, respectively, by using several common machine learning algorithms. The results show that the integrative features have better time performance than the static features, and better classification performance than the dynamic features, and almost the same obfuscated-detection performance as the dynamic features. This algorithm can provide some support for feature extraction of malware detection.

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