• The Journal of the Korea Contents Association
• /
• v.17 no.11
• /
• pp.9-17
• /
• 2017

In this paper, we propose a method to develop a multimeter which is used for measuring electric signals in industrial field by using battery and display of smart phone. Most of the multimeters that are linked to existing smartphones are connected to Bluetooth, which is inconvenient for battery use and low in measurement accuracy. To improve this, we developed smart multimeter that can supply power and data at the same time by USB OTG method which can be used by sharing the power of smartphone. We also developed a smart multimeter that can measure resistance, DC voltage, current, AC voltage and current. Developed an Android app with a button that displays measurement data and can select the type of electric signal to be measured, and tests whether the manufactured system is operating normally or not. Respectively.The results of this study confirm that it is possible to fabricate a smart meter that has equal or better performance compared to existing instruments and does not require a separate power source or display, and it is expected to be a reference for the development of various smart instruments in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.05a
• /
• pp.593-595
• /
• 2011

본 논문에서는 기존에 전력소비자들의 전기요금을 낮추기 위해 전력사업자가 설치하는 스마트미터(smart meter)에 의존하는 대신 가정 내 PLC(Power Line Communication)망을 활용하여 소비자의 기기별로 에너지모니터링 환경을 구축하여 스마트그리드를 통해 소비자가 얻을 수 있는 많은 혜택을 제공할 수 있는 스마트플러그 기반 AMI 시스템을 개발하고자 한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.18 no.3
• /
• pp.49-59
• /
• 2018

Smart grid system has been deployed fast despite of legal, business and technology problems in many countries. One important problem in deploying the smart grid system is to protect private smart meter readings from the unbelievable parties while the major smart meter functions are untouched. Privacy-preserving involves some challenges such as hardware limitations, secure cryptographic schemes and secure signal processing. In this paper, we focused particularly on the smart meter reading aggregation,which is the major research field in the smart meter privacy-preserving. We suggest a noisy weighted aggregation scheme to guarantee differential privacy. The noisy weighted values are generated in such a way that their product is one and are used for making the veiled measurements. In case that a Diffie-Hellman generator is applied to obtain the noisy weighted values, the noisy values are transformed in such a way that their sum is zero. The advantage of Diffie and Hellman group is usually to use 512 bits. Thus, compared to Paillier cryptosystem series which relies on very large key sizes, a significant performance can be obtained.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.4
• /
• pp.815-821
• /
• 2013

In this paper, application layer protocol of C12.22 node, defined by ANSI C12.22 is implemented. ANSI C12.22 defines application layer only among the OSI 7 layers and recommends using the existing protocols for the 1~4 layer to transmit the information. TCP/IP which is one of the generally used protocols has been applied for the transport and network layer protocol in this paper. ANSI C12.19 defines the parameters for the watt-hour meter, and C12.22 application layer defines the network services and data structures networking the watt-hour meter parameters at a minimum. This kind of services and data structures are used for the configuration, programming, monitoring of the networked watt-hour meter or collecting information of the watt-hour meter. A embedded board has been used to implement the C12.22 application layer and a test program for the AMI application server has been developed for the functional test.

• JOURNAL OF ELECTRICAL WORLD
• /
• s.361
• /
• pp.40-41
• /
• 2007

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.121-122
• /
• 2011

전 세계적으로 많은 국가들이 에너지 소비 효율화에 관심을 갖고 관련된 연구와 제품 개발을 활발히 진행하고 있다. 효율적인 에너지 사용을 위한 필수 요소기술로는 소비자가 실시간으로 가전기기의 동작 상태를 확인하고, 자동 제어를 가능하게 해주는 스마트 미터링 시스템에 대한 중요성과 필요성이 크게 부각 되고 있는 실정이다. 본 논문에서는 가전기기의 사용 전력 측정과 제어 기능을 갖는 기존의 멀티탭타입의 스마트 미터를 기반으로 대기전력을 갖는 가전기기의 원활한 제어가 어려웠던 기존의 문제점을 개선하고, 멀티탭에서 얻어진 전력 정보를 원격 전송하여 스마트폰에서 소비자가 사용전력량과 동작 상태를 확인하고 on/off 명령을 통해 원격제어를 가능케 하는 양방향 통신 시스템을 구현하였다.

• Proceedings of the KIEE Conference
• /
• 2011.07a
• /
• pp.1991-1992
• /
• 2011

스마트미터링 혹은 스마트미터의 기본 요구사항 중 하나는 AMI 환경의 장비들에 대한 펌웨어 원격 업그레이드 기능이다. 수동적인 H/W 장비의 교체 없이 S/W 및 펌웨어 교체만으로 변화되는 환경에 유연하게 대체할 수 있도록 하며 다양한 부가서비스 창출 및 사업화지원을 위해서 시스템을 주기적으로 유지보수함으로써 유지보수에 필요한 인건비를 절감 한다는 측면과 서비스의 즉시성 측면에서 매우 중요하다. 본 논문에서는 AMI 시스템 개발 시작품 중 데이터수집장치 및 스마트 미터를 대상으로하는 원격 펌웨어 업그레이드시스템(FUMS, Firmware Upgrade Management System)의 국제적 수준의 일반적 요구기능과 시스템 설계 내용을 제시한다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.759-762
• /
• 2023

스마트 인솔은 멀티 센서가 장착된 디바이스로써, 발바닥의 정보를 추출하는 기기의 특성으로 인해 헬스케어 디바이스로 주목받고 있다. 최근에는 스마트 인솔 내 센서 사양의 증가로 인해 획득 가능한 데이터의 품질이 증가하였으나, 취득한 데이터를 모두 사용하는 것은 통신 대역폭 및 컴퓨팅 파워의 문제가 발생할 수 있다. 본 논문에서는 스마트 인솔 내 파라미터에 대한 분석과 연구를 진행하고, 최적의 파라미터를 제시한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.13-20
• /
• 2020

One of the major issues surrounding big data is the availability of massive time-based or telemetry data. Now, the appearance of low cost capture and storage devices has become possible to get very detailed time data to be used for further analysis. Thus, we can use these time data to get more knowledge about the underlying system or to predict future events with higher accuracy. In particular, it is very important to define custom tailored contract offers for many households and businesses having smart meter records and predict the future electricity usage to protect the electricity companies from power shortage or power surplus. It is required to identify a few groups with common electricity behavior to make it worth the creation of customized contract offers. This study suggests big data transformation as a side effect and clustering technique to understand the electricity usage pattern by using the open data related to smart meter and KNIME which is an open source platform for data analytics, providing a user-friendly graphical workbench for the entire analysis process. While the big data components are not open source, they are also available for a trial if required. After importing, cleaning and transforming the smart meter big data, it is possible to interpret each meter data in terms of electricity usage behavior through a dynamic time warping method.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.5
• /
• pp.93-99
• /
• 2019

In this paper, we propose a smart meter that uses GRU model, which is one of artificial neural networks, for the efficient energy management. We collected power consumption data that train GRU model through the proposed smart meter. The implemented smart meter has automatic power measurement and real-time observation function and load control function through power consumption prediction. We determined a reference value to control the load by using Root Mean Squared Error (RMS), which is one of performance evaluation indexes, with 20% margin. We confirmed that the smart meter with automatic load control increases the efficiency of energy management.