• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.237-239
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• 2013

Data so as to meet key values are preserved at Column-Family Stores such as Cassandra, HBase, Hypertable, and Amazon Simple DB in the Big Data environment. In this paper, with referring to Cassandra, we define column-family data stores and its structure. And then, we check out their characteristics such as consistency, transaction, availability, retrieval function (basic queries and advance queries) with CQL (Cassandra Query Language), and expandability. Also, we appropriate or inappropriate subjects for application of column-family stores.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.3
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• pp.298-305
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• 2016

Various NoSQL databases are more excellent to process a large amount of big data than existing relational databases such as MySQL, PostgreSQL and Oracle. Among widely used NoSQL databases, performance of HBase, Cassandra, MongoDB and Redis was comparatively assessed. For distributed processing of a large amount of data, 12 servers were connected through switching hub and Ubuntu was installed as operating system. As for benchmark tool, YCSB was applied. Read and update ratios changed from 50% and 50%, 95% and 5% and finally, 100% and 0% and each of them was assessed as 200,000 commands developed into 1,200,000 commands for each case. Cassandra was most excellent with transaction processing per second while MongoDB was most excellent with the number of processes carried out per unit time.

• KIPS Transactions on Software and Data Engineering
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• v.1 no.3
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• pp.159-168
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• 2012

Relation in the new IT environment, such as the SNS, Cloud, Web3.0, has become an important factor. And these relations generate a transaction. However, existing relational database and graph database does not processe graph structure representing the relationships and transactions. This paper, we propose the technique that can be processed concurrently graph structures and transactions in a scalable complex network system. The proposed technique simultaneously save and navigate graph structures and transactions using the Topic Maps data model. Topic Maps is one of ontology language to implement the semantic web(Web 3.0). It has been used as the navigator of the information through the association of the information resources. In this paper, the architecture of the proposed technique was implemented and design using Cassandra - one of column type NoSQL. It is to ensure that can handle up to Big Data-level data using distributed processing. Finally, the experiments showed about the process of storage and query about typical RDBMS Oracle and the proposed technique to the same data source and the same questions. It can show that is expressed by the relationship without the 'join' enough alternative to the role of the RDBMS.

• Journal of KIISE
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• v.44 no.8
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• pp.767-773
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• 2017

In a distributed system environment, such as a cloud database, the tail latency needs to be kept short to ensure uniform quality of service. In this paper, through experiments on a Cassandra database, we show that long tail latency is caused by a lack of memory space because the database cannot receive any request until free space is reclaimed by writing the buffered data to the storage device. We observed that, since the performance of the storage device determines the amount of time required for writing the buffered data, the performance degradation of Solid State Drive (SSD) due to garbage collection results in a longer tail latency. We propose a garbage collection synchronization technique, called SyncGC, that simultaneously performs garbage collection in the java virtual machine and in the garbage collection in SSD concurrently, thus hiding garbage collection overheads in the SSD. Our evaluations on real SSDs show that SyncGC reduces the tail latency of $99.9^{th}$ and, $99.9^{th}-percentile$ by 31% and 36%, respectively.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.6
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• pp.2354-2376
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• 2020

SmartThings is one of the most popular open platforms for home automation IoT solutions that allows users to create their own applications called SmartApps for personal use or for public distribution. The nature of openness demands high standards on the quality of SmartApps, but there have been few studies that have evaluated this thoroughly yet. As part of software quality practice, code reviews are responsible for detecting violations of coding standards and ensuring that best practices are followed. The purpose of this research is to propose systematically designed quality metrics under the well-known Goal/Question/Metric methodology and to evaluate the quality of SmartApps through automatic code reviews using a static analysis. We first organize our static analysis rules by following the GQM methodology, and then we apply the rules to real-world SmartApps to analyze and evaluate them. A study of 105 officially published and 74 community-created real-world SmartApps found a high ratio of violations in both types of SmartApps, and of all violations, security violations were most common. Our static analysis tool can effectively inspect reliability, maintainability, and security violations. The results of the automatic code review indicate the common violations among SmartApps.

• Smart Structures and Systems
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• v.17 no.4
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• pp.669-690
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• 2016

Advances in sensor technologies have led to the instrumentation of sensor networks for bridge monitoring and management. For a dense sensor network, enormous amount of sensor data are collected. The data need to be managed, processed, and interpreted. Data management issues are of prime importance for a bridge management system. This paper describes a data management infrastructure for bridge monitoring applications. Specifically, NoSQL database systems such as MongoDB and Apache Cassandra are employed to handle time-series data as well the unstructured bridge information model data. Standard XML-based modeling languages such as OpenBrIM and SensorML are adopted to manage semantically meaningful data and to support interoperability. Data interoperability and integration among different components of a bridge monitoring system that includes on-site computers, a central server, local computing platforms, and mobile devices are illustrated. The data management framework is demonstrated using the data collected from the wireless sensor network installed on the Telegraph Road Bridge, Monroe, MI.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.351-354
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• 2014

The emergence of big data has brought many changes to the database management environment. the each amount of big data will increase, but each data size is smaller and simpler. This feature was required to a new data processing techniques. Accordingly, A variety database technology was provided to Specializing in big data processing. It is defined as NoSQL. NoSQL is how to use each different, according to the data characteristics. It is difficult to define one. In this paper, Classified according to the characteristics of each type of NoSQL Appropriate NoSQL is proposed.

• International Journal of High-Rise Buildings
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• v.11 no.4
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• pp.265-276
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• 2022

Double-Skin Facades (DSF) on tall buildings are becoming increasingly common in urban environments due to their ability to provide architectural merit, passive design, acoustic control and even improved structural efficiency. This study aims to understand the effects of porous DSF on the aerodynamic characteristics of tall buildings using wind tunnel tests. High Frequency Force Balance and pressure tests were performed on the CAARC standard tall building model with a variable porous DSF on the windward face. The introduction of a porous DSF did not adversely affect the overall mean forces and moments experienced by the building, with few differences compared to the standard tall building model. There was also minimal variation between the results for the three porosities tested: 50%, 65% and 80%. The presence of a full-height porous DSF was shown to effectively reduce the mean and fluctuating wind pressure on the side face of the building by about 10%, and a porous DSF over the lower half height of the building was almost as effective. This indicates that the porous DSF could be used to reduce the design load on cladding and fixtures on the side faces of tall buildings, where most damage to facades typically occurs.

• FOCUS: LIFE SCIENCE
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• no.1
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• pp.4.1-4.15
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• 2024

The Avantor® ACE® UltraCore series encompasses High Performance Liquid Chromatography (HPLC) and Ultra High Performance Liquid Chromatography (UHPLC) columns designed to deliver high throughput and high-efficiency ultra-fast separations. Utilizing ultra-inert solid-core silica particles with monodisperse particle distribution, these columns combine the high efficiency of UHPLC with the operability of HPLC instrumentation, yielding lower backpressure and high-resolution separations suitable for a broad spectrum of analytes. The Avantor® ACE® UltraCore range includes three primary product types: • UltraCore BIO: Designed for large biomolecules (≥5 kDa), these columns offer exceptional performance in separating biologically derived compounds. • UltraCore: Ideal for standard small organic molecules, providing rapid separations for both synthetic and natural mixtures. • UltraCore Super: Equipped with encapsulated bonding technology for small organic molecules in extreme pH conditions, optimal for high pH buffer requirements. The Avantor® ACE® UltraCore columns present a versatile and high-efficiency solution for chromatographic separation needs, accommodating a wide range of molecular sizes and providing enhanced resolution and reduced analysis time. Their adaptability to both HPLC and UHPLC systems, combined with the advantages of solid-core technology, makes them an invaluable tool in analytical and preparative chromatography.

• 대한관절경학회:학술대회논문집
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• 2009.10a
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• pp.57-57
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• 2009

관절경적 경경골 단일 다발 후방십자인대 재건술은 전통적으로 가장 흔하게 사용되는 사용되는 술기이다. 그러나, 후방십자 단독 파열시 이 술기의 결과에 대한 임상 평가 및 효용성에 대한 임상적 분석 자료가 거의 없는 실정이다. 이 술기를 시행받은 환자군들에서 객관적 슬관절 이완이 존재함에도 불구하고 주관적 슬관절 기능 장애는 우수한 결과를 나타낸다고 인정되어 왔다. 후방십자인대 단독 파열 후 경경골 단일 다발 재건술을 시행한 문헌 10개를 대상으로 잔존하는 후방 이완과 주관적, 객관적인 기능 평가, 활동성 정도, 환자 만족도, 골관절염의 발생 빈도, 술후 합병증을 체계적으로 고찰하였다. 술전 후방 슬관절 이완은 8.38~12.3 mm에서(4문헌) 술후 1.96~5.9 mm으로(9 문헌) 호전되었다. Lysholom 점수는 평균 81~100점이었다(9 문헌). IKDC는 75%에서 정상 또는 거의 정상의 결과를 보였다(6 문헌). 평균 Tegner 활동도는 4.7~6.3점이었다(8 문헌). 이번 고찰을 통한 결과에서 이 술기 후 퇴행성 변화가 관찰되었으며 보고된 합병증은 거의 없었다. 후방십자인대 단독 파열에서 경경골 단일 다발 재건술은 정상 슬관절의 안정성까지 회복하지는 못하나 한 등급 정도의 후방 슬관절 이완의 호전을 기대할 수 있다. 재활 및 운동으로의 회복에 대한 주관적 슬관절 점수는 80점이며 75%의 정상 또는 정상에 가까운 객관적 결과를 보여주었다. 이 술기가 퇴행성 관절염을 예방할 수는 없더라도 이러한 결과는 후방십자인대 재건 술기의 평가에 도움이 될 것으로 사료된다.