Goetze, Stefan;Schroder, Jens;Gerlach, Stephan;Hollosi, Danilo;Appell, Jens-E.;Wallhoff, Frank
Journal of Computing Science and Engineering
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v.6
no.1
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pp.40-50
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2012
Increase in the number of older people due to demographic changes poses great challenges to the social healthcare systems both in the Western and as well as in the Eastern countries. Support for older people by formal care givers leads to enormous temporal and personal efforts. Therefore, one of the most important goals is to increase the efficiency and effectiveness of today's care. This can be achieved by the use of assistive technologies. These technologies are able to increase the safety of patients or to reduce the time needed for tasks that do not relate to direct interaction between the care giver and the patient. Motivated by this goal, this contribution focuses on applications of acoustic technologies to support users and care givers in ambient assisted living (AAL) scenarios. Acoustic sensors are small, unobtrusive and can be added to already existing care or living environments easily. The information gathered by the acoustic sensors can be analyzed to calculate the position of the user by localization and the context by detection and classification of acoustic events in the captured acoustic signal. By doing this, possibly dangerous situations like falls, screams or an increased amount of coughs can be detected and appropriate actions can be initialized by an intelligent autonomous system for the acoustic monitoring of older persons. The proposed system is able to reduce the false alarm rate compared to other existing and commercially available approaches that basically rely only on the acoustic level. This is due to the fact that it explicitly distinguishes between the various acoustic events and provides information on the type of emergency that has taken place. Furthermore, the position of the acoustic event can be determined as contextual information by the system that uses only the acoustic signal. By this, the position of the user is known even if she or he does not wear a localization device such as a radio-frequency identification (RFID) tag.
Journal of the Institute of Convergence Signal Processing
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v.19
no.3
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pp.139-146
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2018
Underwater acoustic communication can be applied to various area such as scientific, commercial and military survey using Autonomous Underwater Vehicles and Unmanned Underwater Vehicles. Underwater communication is studying very actively by advanced country like United States. But differ from wireless communication in the air, underwater acoustic communication has some difficult problems, ISI(Inter Symbol Interference) due to multipath and limit of transmission bandwidth due to slow propagation of sound wave. In this paper, SC-FDE and OFDM transmission system for the cancellation of ISI in conjunction with underwater acoustic channel modeling are applied to the underwater simulation of communication. The performance of these methods in the simulation guide to possibility of adopting in underwater acoustic communication algorithm. For this purpose, we compare SER performance of SC-FDE with that of OFDM for modelled underwater channel. Underwater channel is generated by Bellhop model. Simulation results show above 5dB SNR gain at 10-3 SER. And it demonstrate SC-FDE is efficient method for underwater acoustic communication.
High-speed 3D vision systems are essential for autonomous robot or vehicle control applications. In our study, a stereo vision process has been developed. It consists of three steps : extraction of edges in right and left images, matching corresponding edges and calculation of the 3D map. This process is implemented in a VME 150/40 Imaging Technology vision system. It is a modular system composed by a display, an acquisition, a four Mbytes image frame memory, and three computational cards. Programmable accelerator computational modules are running at 40 MHz and are based on TMS320C31 DSP with a $64{\times}32$ bit instruction cache and two $1024{\times}32$ bit internal RAMs. Each is equipped with 512 Kbytes static RAM, 4 Mbytes image memory, 1 Mbytes flash EEPROM and a serial port. Data transfers and communications between modules are provided by three 8 bit global video bus, and three local configurable pipeline 8 bit video bus. The VME bus is dedicated to system management. Tasks between DSPs are distributed as follows: two DSPs are used to edges detection, one for the right image and the other for the left one. The last processor computes the matching process and the 3D calculation. With $512{\times}512$ pixels images, this sensor generates dense 3D maps at a rate of about 1 Hz depending of the scene complexity. Results can surely be improved by using a special suited multiprocessors cards.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2017.05a
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pp.279-282
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2017
Kinect depth sensor, a depth camera developed by Microsoft as a natural user interface for game appeared as a very useful tool in computer vision field. In this paper, due to kinect's depth sensor and its high frame rate, we developed a distance measurement system using Kinect camera to test it for unmanned vehicles which need vision systems to perceive the surrounding environment like human do in order to detect objects in their path. Therefore, kinect depth sensor is used to detect objects in its field of view and enhance the distance measurement system from objects to the vision sensor. Detected object is identified in accuracy way to determine if it is a real object or a pixel nose to reduce the processing time by ignoring pixels which are not a part of a real object. Using depth segmentation techniques along with Open CV library for image processing, we can identify present objects within Kinect camera's field of view and measure the distance from them to the sensor. Tests show promising results that this system can be used as well for autonomous vehicles equipped with low-cost range sensor, Kinect camera, for further processing depending on the application type when they reach a certain distance far from detected objects.
In this paper, an A-team(Asynchronous Team ) based approach for Reactive power and volage control considering static security assessment in a power system with infrastructural deficiencies is proposed. Reactive power and voltage control problem is the one of optimally establishing voltage level given several constraints such as reactive generation, voltage magnitude, line flow, and other switchable reactive power sources. It can be formulated as a mixed-integer linear programming(MILP) problem without deteriorating of solution accuracy to a certain extent. The security assessment is to estimate the relative robustness of the system in Its present state through the evaluation of data provided by security monitoring. Deterministic approach based on AC load flow calculations is adopted to assess the system security, especially voltage security. A security metric, as a standard of measurement for power system security, producting a set of discrete values rather than binary values, is employed. In order to analyze the above two problems, reactive power/voltage control problem and static security assessment problem, in an integrated fashion for real-time operations, a new organizational structure, called an A-team, is adopted. An A-team is an organization for agents which ale all autonomeus, work in parallel and communicate asynchronously, which is well-suited to the development of computer-based, multi-agent systems for operations. This A-team based approach, although it is still in the beginning stage, also has potential for handling other difficult power system problems.
The Journal of the Society of Korean Medicine Diagnostics
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v.9
no.2
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pp.94-109
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2005
Objectives: This paper investigated the effects of 8 Constitution Acupuncture on Heart Rate Variability(HRV) and is intended to find out 8 Constitutional difference on Autonomous Function after 8 Constitution Acupuncture stimulation. Methods: The subjects were comprised of 42 volunteers(11 men and 31 women). The volunteers had acupunctured by 8 Constitution Acupuncture Therapy. HRV and Mean Heart Rate(MHR) were measured by TAS9v2.0(IEMBIO & Saerom, Korea) on two times: before and immediately after acupuncture stimulation. The SPSS 13.0 for windows was used for statistical analysis: Mann-Whitney U-test, Paired Samples T -test and Wilcoxon signed rank test were used to verify the results. Results: 1. There was no statistically significant difference on HRV and MHR between Sympathicotonia and Vagotonia before acupuncture. 2. In the whole subject, immediately after acupuncture stimulation, MHR showed a significant decrease(p<0.01) and Ln(TP), Ln(LF) and Ln(HF) showed a significant increase(p<0.05). But there was no significant difference in LHR. 3. Immediately after acupuncture stimulation, MHR showed a significant decrease and Ln(TP), Ln(HF), showed a significant increase in Pulmotonia(p<0.05), Ln(TP) showed a significant increase in Pancretonia(p<0.05),MHR showed a significant decrease and Ln(TP) showed a significant increase in Hepatonia(p<0.05), and MHR showed a significant decrease and Ln(TP), Ln(HF), showed a significant increase in cholecystonia(p<0.05). But there were no significant difference on HRV and MHR in Colonotonia and vesicotonia. Conclusion: The results suggest that 8 Constitution Acupuncture is associated with changed activity in sympathetic and parasympathetic nervous system. Further study is needed for investigating the effects of 8 Constitution Acupuncture on HRV and autonomic nervous system.
KIPS Transactions on Computer and Communication Systems
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v.6
no.8
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pp.359-368
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2017
What is the term "intelligence information society", which is a term that has been continuously discussed recently? This means that the automation beyond the limits of human ability in the whole societies based on intelligent information technology is a universalized social future. In particular, it is a concept that minimizes human intervention and continuously pursues evolution to data (or big data) -based automation. For example, autonomous automation is constantly aiming at unmanned vehicles with artificial intelligence as a key element. However, until now, intelligent information research has focused on the intelligence itself and has made an effort to improve intelligence logic and replace human brain and intelligence. On the other hand, in order to replace the human labor force, we have continued to make efforts to replace workers with robots by analyzing the working principles of workers and developing optimized simple logic. This study proposes important strategies and directions to implement intelligent information education policy and intelligent information technology research strategy by suggesting access strategy, education method and detailed policy road map for intelligent information technology research strategy and educational service. In particular, we propose a phased approach to intelligent information education such as basic intelligence education, intelligent content education, and intelligent application education. In addition, we propose education policy plan for the improvement of intelligent information technology, intelligent education contents, and intelligent education system as an important factor for success and failure of the 4th industrial revolution, which is centered on intelligence and automation.
Most spatial data acquisition systems employing a set of frame cameras may have suffered from their small fields of view and poor base-distance ratio. These limitations can be significantly reduced by employing an omni-directional camera that is capable of acquiring images in every direction. Bundle Block Adjustment (BBA) is one of the existing georeferencing methods to determine the exterior orientation parameters of two or more images. In this study, by extending the concept of the traditional BBA method, we attempt to develop a mathematical model of BBA for omni-directional images. The proposed mathematical model includes three main parts; observation equations based on the collinearity equations newly derived for omni-directional images, stochastic constraints imposed from GPS/INS data and GCPs. We also report the experimental results from the application of our proposed BBA to the real data obtained mainly in urban areas. With the different combinations of the constraints, we applied four different types of mathematical models. With the type where only GCPs are used as the constraints, the proposed BBA can provide the most accurate results, ${\pm}5cm$ of RMSE in the estimated ground point coordinates. In future, we plan to perform more sophisticated lens calibration for the omni-directional camera to improve the georeferencing accuracy of omni-directional images. These georeferenced omni-directional images can be effectively utilized for city modelling, particularly autonomous texture mapping for realistic street view.
This paper aims to research the historical development of the archival systems in the Primorskii Krai of the Russian Federation. The history of the archives in this region might be divided into the three periods. The first period extended from the territorial acquisition of the Far East to 1938, when the international situation reached the crisis. From then to the end of the Second World War the history of the archives of the Primorskii Krai underwent the second period. The third period has ranged from 1945 to the present day. As the imperialistic countries, including England, Germany and Russia, claimed and conquered the lands in China in the last decade of the nineteenth century, the Russian government was forced to produce a lot of records, which resulted in the establishment of the several archival institutions in the Far East region. Although the Soviet government issued "Decree On the Reorganization and Centralization of Archival Affairs in the Russian Socialist Federated Soviet Republic" in 1918, the political turmoils prevented the Primorskii region from constructing the archival system. However, A. P. Georgievskii and his colleagues made desperate efforts to arrange the archival administration. Thanks to their struggles, the Far Eastern Republic, a buffer state, which existed from April 6, 1920 to November 14, 1922, passed the autonomous regulation, which defined the organization of the committee for the archival administration in the Primorskii region. The Primorskii Krai Archive originated from the committee. As the international situation became aggravated in the East Asia, the Soviet government made a decision to evacuate the records from the Far East region to the western Siberian cities like Tomsk, Omsk and Minusinsk. It was on August 1943 that the Central National Archive of the Far East of RSFSR was established in Tomsk. After the end of the Second World War, the main archival institutions of the Primorskii Krai, that is, the Central National Archive of the Far East of RSFSR and the Primoskii Krai Archive have played an important role in the archival administration in this region. The archivists have not only prepared the catalogues, but also proceeded the descriptions of the archival collections. Furthermore, the archival institutions of the Primorskii Krai have published a series of archives and contributed to the development of the archival system in the Far East of the Russian Federation. It might be concluded that the archives of the Primorskii Krai, reaching were the products of the desperate efforts which the archivists of this region made from the 19th century to the present day, regardless of the political changes.
The Journal of Korea Institute of Information, Electronics, and Communication Technology
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v.11
no.6
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pp.638-644
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2018
Relay systems have recently gained attentions because of its capability of cell coverage extension and the power gain as the one of key technologies for 5G. Relays can be exploited for small-cell base stations and the autonomous network, where communication devices communicate with each other cooperatively. Therefore, the relay technology is expected to enable the low power and large capacity communication. In order to maximize the benefits of using a limited number of relays, the efficient relay selection method is required. Especially, when two nodes exchange their data with each other via relay, the relay selection can maximize the average data rate by the spatial location of the relay. For this purpose, the average data rate is analyzed first according to the relay selection. In this paper, we analyzed the average data rate when two nodes exchange their data via dual-hop decode and forward relaying considering the interference by the concurrent transmission under Nakagami-m fading channel. The correctness of the analysis is verified by the Monte Carlo simulation. The results show that the concurrent transmission is superior to the non-concurrent transmission in the high required data rate region rather than in the low required data rate region.
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