• Title/Summary/Keyword: Smart Evaluation

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Retrieval Method using Device Characteristics and Device Usage Characteristics in Multi-Device Environment (다중 기기 환경에서 기기 특성과 기기 사용 특성을 활용한 검색 기법)

  • Kwon, Joon Hee
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.3
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    • pp.17-26
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    • 2021
  • Internet of Things is an infrastructure of the interconnected devices. In Internet of Things environment, many smart devices are used in daily life. It requires a new retrieval method using multiple devices. We propose an information retrieval method using both device characteristics and device usage characteristics in multi-device environments. Firstly, information retrieval is performed using a general purpose device. And then, it is performed using dedicated devices. Our method uses both characteristics of the devices and usage characteristics of them. Moreover, it considers queries on the general purpose device. This paper proposes a new retrieval method and describes algorithms. Then, it presents smart home scenarios. Performance evaluation is performed using the scenarios. The evaluation results show higher precision and efficiency than previous researches. The proposed method gets information more accurately and quickly in IOT multiple device environments.

Usability Evaluation of Touch Keyboard in Smart Watch Environment

  • Oh, Euitaek;Choi, Jinhae;Cho, Minhaeng;Hong, Jiyoung
    • Journal of the Ergonomics Society of Korea
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    • v.35 no.6
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    • pp.569-580
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    • 2016
  • Objective: This study aims to identify the most effective keyboard layout in the area of performance for securing usability in a smart watch-using environment and to verify the usability of touch keyboard calibrated by hand. Background: It is necessary to understand the environmental characteristics in using the smart watch and to secure the usability of touch keyboard based on this understanding in order to take account of the users who use the touch screen in the extreme input conditions caused by the small screen of a smart watch. Method: 30 participants in this study were required to input characters using the QWERTY keyboard and 3x4 keypad (Naratgul, Chunjiin), which were familiar with them, in order to grasp the keyboard layout suitable in the smart watch- using environment; the performance (error rate, performance time) of this case was measured. In addition, 30 participants in this study were required to input the characters setting the QWERTY keyboard with calibrated touch area and the one with uncalibrated touch area, based on the characteristics of touch behavior, by finger typing the keyboard, with the performance (error rate and performance time) of this case measured. Results: QWERTY keyboard (93.3sec) is found to be 31.2% faster than Naratgul keyboard, a kind of 3x4 keypad, and 43.6% faster than Chunjiin keyboard, in the area of efficiency, in the results of the usability evaluation regarding the keyboard layout. QWERTY keyboard with calibrated touch area (7.5%) is found to be 23.5% improved compared to the QWERTY keyboard with uncalibrated touch area (9.8%) in the area of accuracy (error rate). The results of the usability evaluation regarding the QWERTY keyboard with touch area calibrated by finger typing the keyboard and QWERTY keyboard with calibrated touch area (80.7sec) is found to be 5.7% improved compared to QWERTY keyboard with uncalibrated touch area (85.6sec) in the area of efficiency (performance time). Conclusion: QWERTY keyboard is found to have an effective layout in the area of efficiency in the smart watch-using environment, and its improved usability is verified in the areas of accuracy and efficiency in the QWERTY keyboard with a touch area calibrated by finger typing the keyboard. Application: The results of this study may be used to set up the basic touch keyboard of the smart watch. The input usability is expected to secure the smart watch-using environment, which is an extreme input condition by applying QWERTY keyboard with touch area calibrated by finger typing the keyboard.

Study on the Developing of Evaluation Indicators for Smart City from the Perspective of Digital Social Innovation (디지털 사회혁신관점의 스마트도시 평가지표 설정에 관한 연구)

  • Kim, Yu-Mi;Koo, Ja-Hoon
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.511-521
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    • 2019
  • This study is designed to define the smart city as the platform for digital social innovation, and acquire the evaluation indicator for objectively diagnosing domestic cities from the perspective of the implementation process and capability of smart city and analyze its importance. Through prior studies and in-depth interview with experts, candidate groups for evaluation indicators were acquired and the conformance test(T-test) was conducted to finally select 16 detailed indicators in 4 fields. The importance of the evaluation item was found to be high in the policy and system, followed by innovation infrastructure, citizen's participation and infrastructure. The analysis of the 16 detailed indicators for importance showed that the willingness of conducting the smart city by the head of local government, construction of organization dedicated to the smart city have the highest importance. This may reflect the fact that in domestic cities, the smart city is sponsored by public organizations. The analysis of the importance of expert groups (local government and Private sector groups) found that both groups recognized that politics and systems are important factors but they varied in the recognition of importance in the innovation infrastructure and citizen's participation. This study has implication as the indicator for smart city from the perspective of digital social innovation can be acquired for use of the domestic cities and that it can give basic and objective data for the priority of policies on which the domestic smart cities shall focus.

Implementation of the Realtime Learning Evaluation System and Interaction for Smart Learning (스마트러닝을 위한 실시간 학습평가 및 상호작용 시스템 구현)

  • Lee, Myung-Suk;Son, Yoo-Ek
    • KIPS Transactions on Computer and Communication Systems
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    • v.2 no.6
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    • pp.245-252
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    • 2013
  • We developed a system which supports the functions of real-time evaluation and feedback for smart learning. The system is consisted of an application for tablet PC and smart phone and the server, and the client exchanges data with the server through wireless communication. Whereby, the proposed system enabled realtime interaction and feedback between learner and teacher or between learners. As a result, the instruction for each learner's level is available using the system, and then it could enhance the level of academic achievement and learning interest.

Information Security Management System Evaluation Criteria with availability for Korean Smart Grid (한국형 스마트 그리드의 가용성을 고려한 정보보호 관리체계 평가 기준 제안)

  • Heo, Ok;Kim, Seungjoo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.3
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    • pp.547-560
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    • 2014
  • Smart Grid, which maximize the efficiency of energic utilization by applying Information and Communication Technology to Power Grid, requires high availability. Attacks, such as DDoS, which cause suspension of service and lead to social disruptions have recently been increasing so that systematic management over availability becomes more important. In this paper, we presents a new evaluation criteria of Korean Smart Grid by comparing availability assessment items of international standards specified in management system and then overcome the limitations of availability evaluation of existing information security management system.

Detection and Trust Evaluation of the SGN Malicious node

  • Al Yahmadi, Faisal;Ahmed, Muhammad R
    • International Journal of Computer Science & Network Security
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    • v.21 no.6
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    • pp.89-100
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    • 2021
  • Smart Grid Network (SGN) is a next generation electrical power network which digitizes the power distribution grid and achieves smart, efficient, safe and secure operations of the electricity. The backbone of the SGN is information communication technology that enables the SGN to get full control of network station monitoring and analysis. In any network where communication is involved security is essential. It has been observed from several recent incidents that an adversary causes an interruption to the operation of the networks which lead to the electricity theft. In order to reduce the number of electricity theft cases, companies need to develop preventive and protective methods to minimize the losses from this issue. In this paper, we have introduced a machine learning based SVM method that detects malicious nodes in a smart grid network. The algorithm collects data (electricity consumption/electric bill) from the nodes and compares it with previously obtained data. Support Vector Machine (SVM) classifies nodes into Normal or malicious nodes giving the statues of 1 for normal nodes and status of -1 for malicious -abnormal-nodes. Once the malicious nodes have been detected, we have done a trust evaluation based on the nodes history and recorded data. In the simulation, we have observed that our detection rate is almost 98% where the false alarm rate is only 2%. Moreover, a Trust value of 50 was achieved. As a future work, countermeasures based on the trust value will be developed to solve the problem remotely.