The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In surface mine environment, the size of mining equipment is typically very huge. Therefore, the sight of equip- ment operators in high- mounted cockpits is severely limited and those operators are often unaware of the approaching or nearby vehicles. It is reported that this unawareness causes serious accidents, which motivates us for proximity detection of those vehicles. Inter-Vehicle Communication...
Passive infra-red (PIR) motion detection binary sensors are reasonable for human tracking in household as they can be portable operated by small batteries and be attached onto walls, shelves, floors or ceilings. However, such flexibility of sensor location causes difficulty since the location information of each sensor should be managed and given to the tracking system by the residents. To mitigate...
Recently, several researches concerning with smart and connected communities have been studied. Soon the 4G / 5G technology becomes popular, and cellular base stations will be located densely in the urban space. They may offer intelligent services for autonomous driving, urban environment improvement, disaster mitigation, elderly/disabled people support and so on. Such infrastructure might function...
In this paper, we propose a new application to infer the “cause” of human crowd (scheduled events, sudden accidents and so on) by mobile crowd sensing. The idea is that we leverage our phone-camera-based, crowd-sourced people counting to firstly localize an event with human crowds, and then extract keywords that spatiotemporally correspond to the event from micro blogs such as tweets. Such keywords...
In this paper, we propose a method to share dynamic contents such as short video clips created by vehicles' mounted cameras. In these days, many vehicles are equipped with driving recorders and other sensors to detect surrounding situations. Such cameras and sensors can work as real-time monitors of traffic conditions and other dynamic environments such as road situations. Such information should...
Air conditioning in recent BEMS is now being highly automated, but providing true thermal comfort to building occupants and visitors is still challenging due to difficulty of sensing whole 3D space with limited number of sensors. In particular, thermal effect by crowd of people has not been considered so far in such automated air conditioning. This paper presents a method to accurately estimate the...
We propose a method to estimate people travel modes and trajectories from control signal records (CSRs) generated at cellular base stations (BSs) when mobile phones send BSs any signal such as handover and data transmission. User locations can be roughly identified by BS IDs in the records as well as the locations of BSs. However, the location accuracy depends on BS cell size, which is not enough...
Thanks to rapid advance and penetration of IoT devices, it is becoming possible to sense almost every information of real-world. This urges us to utilize data streams continuously generated from IoT devices in real-time. In this paper, aiming to locally process data streams by using computational resources of IoT devices, we propose middleware for IoT devices where the devices process data streams...
In recent years, several advanced safety techniques have been put to practical use for supporting safe driving, ASV (Advanced Safety Vehicle) can detect the presence of surrounding vehicles and pedestrians autonomously. On the other hand, cooperative techniques such as cooperative vehicle-to-vehicle awareness have attracted a lot of attentions in the field of ITS. In this paper, we propose a method...
EdgeComputing and Fog Computing are new paradigms where data processing is executed in or on the edge of networks to mitigate cloud server load. However, EdgeComputing and Fog Computing still need powerful servers on the edge of networks which impose additional costs for deployments. We proposed a platform called IFoT (Information Flow of Things) that efficiently performs distributed processing as...
In this paper, a problem of sending a large amount of sensor data from a gateway to a faraway server over limited resources in multi-user IoT system has been studied. We propose a sensor data prioritization approach based on user requirements for maximizing the satisfaction value. The approach utilizes an MCDA (Multi Criteria Decision Analysis) technique called REMBRANDT to aggregate requirements...
This paper reports our recent result in designing a function for autonomous APs to estimate throughput and delay of its clients in 2.4GHz WiFi channels to support those APs' dynamic channel selection. Our function takes as inputs the traffic volume and strength of signals emitted from nearby interference APs as well as the target AP's traffic volume. By this function, the target AP can estimate throughput...
In snowy countries, heavy snow has a large influence on traffic flows. Snow on urban roads disturbs traveling of vehicles as a huge amount of snow is piled up on roadsides, which often obstructs smooth driving. In this paper, we propose a novel method to predict the speed of vehicles on each road segment in snowy cities. This estimation is helpful for urban traffic planning of local government or...
In this paper, we design a mobile augmented reality (AR) system called TweetGlue, which overlays text messages (i.e., tweets) that are posted to a local social networking service onto live view images from cameras in mobile/wearable devices. By displaying the tweets at the current positions of the users who posted them, it supports social interaction between the users. Accurate pose tracking of mobile...
This paper proposes a method of aggregating tempo-spatial data generated by sensors deployed in buildings or houses. The size of each sensor data such as temperature is usually small, but it often involves many additional data to represent its attribute values like time, location, data type and data precision. This would often increase the traffic volume between sensor gateway at building/home side...
Real-time context monitoring in public indoor space is a key technology for cyber-physical systems. Recent research studies have shown that analysis of geo-tagged multimedia data on social networking websites enables accurate detection and localization of “events” in real world, which attract attention of a number of people (e.g., earthquakes). Although the similar idea could also be applied to local...
In this paper, we design and develop a ground surface condition recognition algorithm using shoe-mounted inertial sensors. We use a pair of small sensor boxes mounted on feet with accelerometers and gyro sensors inside and detect walking steps using them. Firstly, we detect stationary stance phase using accelerometers and gyro sensors. Then, based on this information, we estimate the “Angle of Inclination”...
This paper presents a cross validation of network system models in two simulation tools, namely the ONE Simulator and Scenargie, for the simulation of Delay or Disruption Tolerant Networks (DTNs). The study compares the simulation results from three network system models provided by the two simulators as well as their efficiency for a commonly used DTN scenario. The results show a fundamental problem...
In this paper, we propose a new method of highly-accurate mobile phone tracking using infrastructure-based laser-tracking sensors called laser-range scanners (LRS) and pedestrian DR (PDR) on the mobile phones. Each mobile phone continuously obtains readings from accelerometers and gyro sensors to detect moving distance and direction change (PDR information), while the phone user is accurately tracked...
Floating car systems have attracted much attention. In particular, trajectory information of vehicles, which cannot be obtained in legacy traffic monitoring systems, would be significant for more detailed and precise traffic prediction. In this paper, we focus on vehicle queues formed in front of intersections and present a model that analyzes the dynamics of their length using vehicle trajectory...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.