• Title/Summary/Keyword: Data Communication-Less

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Compact Antenna Design for the UWB Lower Half-Band WVAN Gbps Data-Rate Transceiver (UWB 하반 대역 WVAN Gbps 데이터 전송률 트랜시버용 소형 광대역 안테나의 설계)

  • Eom, Da-Jeong;Lim, Dong-Jin;Kahng, Sung-Tek;Lee, Seung-Sik;Choi, Sang-Sung
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.3
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    • pp.283-291
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    • 2012
  • In this paper, a compact antenna is designed for the UWB lower half-band WVAN Gbps data-rate transceiver. The proposed antenna broadens the bandwidth less than -10 dB by placing the ring stubs and an open stub on the rectangular monopole above the partial ground and creating multiple resonant current paths. The designed antenna goes through the electromagnetic simulation and is fabricated and the implemented antenna has the characteristics of the return loss lower than -10 dB, the antenna gain greater than 5 dBi, and the efficiency over 80 % in the UWB lower half-band ranging from 3.197 GHz to 4.732 GHz. Therefore, it is thought that the proposed antenna is suitable for the size-reduced and excellently performing wireless communication transceiver.

Warning Classification Method Based On Artificial Neural Network Using Topics of Source Code (소스코드 주제를 이용한 인공신경망 기반 경고 분류 방법)

  • Lee, Jung-Been
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.11
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    • pp.273-280
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    • 2020
  • Automatic Static Analysis Tools help developers to quickly find potential defects in source code with less effort. However, the tools reports a large number of false positive warnings which do not have to fix. In our study, we proposed an artificial neural network-based warning classification method using topic models of source code blocks. We collect revisions for fixing bugs from software change management (SCM) system and extract code blocks modified by developers. In deep learning stage, topic distribution values of the code blocks and the binary data that present the warning removal in the blocks are used as input and target data in an simple artificial neural network, respectively. In our experimental results, our warning classification model based on neural network shows very high performance to predict label of warnings such as true or false positive.

The Energy-Efficient Automatic Power Controller of The Signboard using Illuminance Detector (조도 감지기를 이용한 절전형 간판 자동 전원 제어기)

  • Ra, Seung-Tak;Lim, Song-Hwan;Lee, Seung-Ho
    • Journal of IKEEE
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    • v.20 no.2
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    • pp.188-191
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    • 2016
  • In this paper, we propose energy-efficient automatic power controller which can power on and off the signboard at the specified light intensity using the Illuminance Detector. By using segmented section Classification algorithm, light intensity setup system propose variable resistor method which makes users more easy to control. Automatic light on-off system set a standard by measured illuminance data. Measured light-intensity through the Illuminance Detector are communicated with the signboard power controller with wireless communication, and it controls lighting system. In this paper, we evaluated the Energy-Efficient Automatic Power Controller of The Signboard using illuminance detector. Experimental results in lightless environment shows that the error rate is less than 3% by Accredited Testing Laboratories.

Dynamic Partitioning Scheme for Large RDF Data in Heterogeneous Environments (이종 환경에서 대용량 RDF 데이터를 위한 동적 분할 기법)

  • Kim, Minsoo;Lim, Jongtae;Bok, Kyoungsoo;Yoo, Jaesoo
    • KIISE Transactions on Computing Practices
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    • v.23 no.10
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    • pp.605-610
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    • 2017
  • In distributed environments, dynamic partitioning is needed to resolve the load on a particular server or the load caused by communication among servers. In heterogeneous environments, existing dynamic partitioning schemes can distribute the same load to a server with a low physical performance, which results in a delayed query response time. In this paper, we propose a dynamic partitioning scheme for large RDF data in heterogeneous environments. The proposed scheme calculates the query loads with its frequency and the number of vertices used in the query for load balancing. In addition, we calculate the server loads by considering the physical performance of the servers to allocate less of a load to the servers with a smaller physical performance in a heterogeneous environment. We perform dynamic partitioning to minimize the number of edge-cuts to reduce the traffic among servers. To show the superiority of the proposed scheme, we compare it with an existing dynamic partitioning scheme through a performance evaluation.

A Function Level Static Offloading Scheme for Saving Energy of Mobile Devices in Mobile Cloud Computing (모바일 클라우드 컴퓨팅에서 모바일 기기의 에너지 절약을 위한 함수 수준 정적 오프로딩 기법)

  • Min, Hong;Jung, Jinman;Heo, Junyoung
    • Journal of KIISE
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    • v.42 no.6
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    • pp.707-712
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    • 2015
  • Mobile cloud computing is a technology that uses cloud services to overcome resource constrains of a mobile device, and it applies the computation offloading scheme to transfer a portion of a task which should be executed from a mobile device to the cloud. If the communication cost of the computation offloading is less than the computation cost of a mobile device, the mobile device commits a certain task to the cloud. The previous cost analysis models, which were used for separating functions running on a mobile device and functions transferring to the cloud, only considered the amount of data transfer and response time as the offloading cost. In this paper, we proposed a new task partitioning scheme that considers the frequency of function calls and data synchronization, during the cost estimation of the computation offloading. We also verified the energy efficiency of the proposed scheme by using experimental results.

Classes of humanities and social sciences in the dental hygiene curriculum (치위생(학)교육과정에서의 인문사회학 교과목 탐색)

  • Moon, Sang-Eun;Kwag, Jung-Sook;Kim, Yun-Jeong
    • Journal of Korean society of Dental Hygiene
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    • v.12 no.2
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    • pp.391-397
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    • 2012
  • Objectives : A study was designed to evaluate the classes of humanities and social sciences in the dental hygiene curriculum. Methods : Data were collected through online received from 69 dental hygiene institutions from May to August, 2011. Categorized are introduction to dental hygiene, dental hygiene management of dental clinic, medical health law, and ethics, patient psychology, others(communication, behavioral science, administration). The data were analyzed by a descriptive analyses and $x^2$-test. Results : As a result of evaluate the classes of humanities and social sciences in the dental hygiene education, 51.4% of a newly-established in between 2000 and 2006 found 2~3 courses. Credits of 4~7 was 82.4% that was found by 2~3 courses. Numbers of courses showed no differences by educational system. In college, 77.8% was in introduction to dental hygiene, dental hygiene management of dental clinic, medical health law. In university, 70.1% was in introduction to dental hygiene, dental hygiene management of dental clinic, medical health law. Ethics and patient psychology was respectively 10.8% in less than 2000, was respectively 4.7% in between 2000 and 2006, was respectively 12.5%, 3.8%. 45.5% that found ethics was in more than 2007. In college, ethics was found in the 1th~2nd(61.5%). In university, ethics was found in the 3rd~4th(85.7%). Conclusions : It should increase the number of courses of humanities and social sciences. Also, It should activate the education a dental hygienist as a professional in the future.

A Traffic Aware Demand-Wakeup MAC(TADW-MAC) Protocol for Wireless Sensor Networks (무선 센서 네트워크에서 트래픽에 적응적인 Demand-Wakeup MAC 프로토콜)

  • Kim, Hye-Yun;Kim, Seong-Cheol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.180-186
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    • 2017
  • In this paper we propose a traffic aware Demand Wakeup MAC(TADW-MAC) protocol, in which low data delay and high throughput can be achieved, for wireless sensor networks. With the TADW-MAC protocol, the problem of the DW-MAC protocol, which schedules only one packet to deliver during the Sleep period in a multi-hop transmission is resolved. DW-MAC is not adequate for the applications such as object tracking and fire detection, in which busty data should be transmitted in a limited time when an event occurs [6-8]. When an event occurs, duty cycle can be adjusted in the TADW-MAC protocol to get less energy consumption and low latency. The duty cycle mechanism has been widely used to save energy consumption of sensor node due to idle listening in wireless sensor networks. But additional delay in packet transmission may be increased in the mechanism. Our simulation results show that TADW-MAC outperforms RMAC and DW-MAC in terms of energy efficiency while achieving low latency.

Efficient Anomaly Detection Through Confidence Interval Estimation Based on Time Series Analysis (시계열 분석 기반 신뢰구간 추정을 통한 효율적인 이상감지)

  • Kim, Yeong-Ju;Heo, You-Kyung;Park, Jin-Gwan;Jeong, Min-A
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.8
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    • pp.708-715
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    • 2014
  • In this paper, we suggest a method of realtime confidence interval estimation to detect abnormal states of sensor data. For realtime confidence interval estimation, the mean square errors of the exponential smoothing method and moving average method, two of the time series analysis method, where compared, and the moving average method with less errors was applied. When the sensor data passes the bounds of the confidence interval estimation, the administrator is notified through alarming. As the suggested method is for realtime anomaly detection in a ship, an Android terminal was adopted for better communication between the wireless sensor network and users. For safe navigation, an administrator can make decisions promptly and accurately upon emergency situation in a ship by referring to the anomaly detection information through realtime confidence interval estimation.

Comparative Analysis of the Perception of Family Functioning by Heads of Families with and without Cancer Members During Illness

  • Sahebihagh, Mohamad Hasan;Amani, Leila;Salimi, Saleh;Feizi, Aram;Khalkhali, Hamid Reza;Atri, Shirin Barzanjeh
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.9
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    • pp.4275-4279
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    • 2016
  • Background: Cancer is a major health problem due to the aging population with increasing deaths. Family functioning is affected by cancer diagnosis and treatment. The aim of this study was to comparative analysis of the perception of family functioning by heads of families with and without cancer members during illness, focusing on changes or probable changes. Materials and Methods: This comparative study was conducted on two groups (families with a member of the cancer and controls without a family member with cancer). The families were of patients referred to the clinics and hospitals of Imam Khomeini, Taleghani and Omid of Urmia city, the number of samples being 148 for cases and 176for the control group. To collect the data, valid and reliable family functioning (FAD) was applied, a 60-item questionnaire with seven dimensions, with heads of families. To analyze the data SPSS- 23 Software was used for descriptive and analytical statistics. Significance level was defined p <0.05. Results: Among the seven items : problem solving, communication, roles, emotional response, emotional involvement, behavior control and overall functioning, only differences for average scores of problem-solving were statistically significant. Discussion: Contrary to common perception of severe damage for family functioning in families with cancer members, results of this study indicate that functioning in terms of family caregivers is more or less similar to that of the families with other diseases. Only in problem-solving item do these families experience more difficulty. Conclusion: According to the research findings, in nursing from families with cancer patient, it is recommended to focus more on the problem-solving item of the families.

Vowel Classification of Imagined Speech in an Electroencephalogram using the Deep Belief Network (Deep Belief Network를 이용한 뇌파의 음성 상상 모음 분류)

  • Lee, Tae-Ju;Sim, Kwee-Bo
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.1
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    • pp.59-64
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    • 2015
  • In this paper, we found the usefulness of the deep belief network (DBN) in the fields of brain-computer interface (BCI), especially in relation to imagined speech. In recent years, the growth of interest in the BCI field has led to the development of a number of useful applications, such as robot control, game interfaces, exoskeleton limbs, and so on. However, while imagined speech, which could be used for communication or military purpose devices, is one of the most exciting BCI applications, there are some problems in implementing the system. In the previous paper, we already handled some of the issues of imagined speech when using the International Phonetic Alphabet (IPA), although it required complementation for multi class classification problems. In view of this point, this paper could provide a suitable solution for vowel classification for imagined speech. We used the DBN algorithm, which is known as a deep learning algorithm for multi-class vowel classification, and selected four vowel pronunciations:, /a/, /i/, /o/, /u/ from IPA. For the experiment, we obtained the required 32 channel raw electroencephalogram (EEG) data from three male subjects, and electrodes were placed on the scalp of the frontal lobe and both temporal lobes which are related to thinking and verbal function. Eigenvalues of the covariance matrix of the EEG data were used as the feature vector of each vowel. In the analysis, we provided the classification results of the back propagation artificial neural network (BP-ANN) for making a comparison with DBN. As a result, the classification results from the BP-ANN were 52.04%, and the DBN was 87.96%. This means the DBN showed 35.92% better classification results in multi class imagined speech classification. In addition, the DBN spent much less time in whole computation time. In conclusion, the DBN algorithm is efficient in BCI system implementation.