• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.8
• /
• pp.203-211
• /
• 2013

Due to the rapid growth of mobile devices and applications, mobile cloud computing is becoming an important platform in the development of cloud services. However, the mobile cloud computing is facing many challenges in terms of the computing resources and communications. One of them is the performance issue between mobile devices and cloud server. In the paper, we implemented a hadoop-based android mobile application, called mobile TPC-C, and used it for evaluating the performance aspect between mobile devices and cloud server. The mobile TPC-C was implemented based on the existing TPC-C, to make it possible to execute on top of android mobile devices. The performance measurement using mobile TPC-C was executed on various transactions while changing the number of mobile clients. By comparing it to the evaluation on the personal PC, we tried to point out the important aspects affecting the performance improvement between mobile clients and cloud server.

• Journal of the Institute of Electronics Engineers of Korea SD
• /
• v.46 no.8
• /
• pp.79-85
• /
• 2009

In this paper, an accurate current reference using temperature and process compensation current mirror (TPC-CM) is proposed. The temperature independent reference current is generated by summing a proportional to absolute temperature (PTAT) current and a complementary to absolute temperature (CTAT) current. However, the temperature coefficient and magnitude of the reference current are influenced by the process variation. To calibrate the process variation, the proposed TPC-CM uses two binary weighted current mirrors which control the temperature coefficient and magnitude of the reference current. After the PTAT and CTAT current is measured, the switch codes of the TPC-CM is fixed in order that the magnitude of reference current is independent to temperature. And, the codes are stored in the non-volatile memory. In the simulation, the effect of the process variation is reduced to 0.52% from 19.7% after the calibration using a TPC-CM in chip-by-chip. A current reference chip is fabricated with a 3.3V 0.35um CMOS process. The measured calibrated reference current has 0.42% variation for $20^{\circ}$C${\sim}$100$^{\circ}$C.

• Journal of Digital Convergence
• /
• v.7 no.3
• /
• pp.25-33
• /
• 2009

Historically, performance prediction and sizing of server systems have been the key purchasing argument for customer. To accurate server's sizing and performance prediction, it is necessary to correctness guideline for sizing and performance prediction. But existing guidelines have many errors. So, we examine the benchmarks of performance organization such as SPEC and TPC. And then we consider to TPC-C and TPC-E benchmarks for OLTP server's sizing and performance prediction that is a basic concept of guidelines. Eventually, we propose improvement of errors in guidelines.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.36 no.11C
• /
• pp.712-719
• /
• 2011

In this paper, we analyzed the performance of soft decision e-BCH codes which presented in DVB-RCS NG system. However, the performance of soft-decision decoding for e-BCH is not much improved as to increase the iterations. Therefore this paper proposed rate-compatible TPC which makes various coding rates by zero padding the row and/or column to adapt next generation (NG) DVB-RCS system. And so we proposed new model of extended BCH code and researches how to develop performance of extended BCH code.

• Proceedings of the Korea Society of Information Technology Applications Conference
• /
• 2007.11a
• /
• pp.67-67
• /
• 2007

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.2
• /
• pp.201-205
• /
• 2008

The flash memory is widely used as a main storage of embedded devices. It is adopted as a storage of database as growing the capacity of the flash memory. We run TPC-C benchmark on various FTL algorithms. But, the database shows poor performance on flash memory because the characteristic of I/O requests is full random. In this paper, we show the performance of all existing FTL algorithms is very poor. Especially, the FTL algorithm known as good at small mobile equipment shows worst performance. In addition, the chip-inter leaving which is a technique to improve the performance of the flash memory doesn't work well. In this paper, we inform you the reason that we need a new FTL algorithm and the direction for the database in the future.

• Food Science and Biotechnology
• /
• v.18 no.6
• /
• pp.1435-1438
• /
• 2009

Hydrothermal treatment of rice hull was hydrothermal carried out at 105, 110, $121^{\circ}C$ for 15, 30, 60 min, respectively, using a conventional autoclave. Antioxidant activity of the hydrothermal treated rice hull extract was evaluated by determining total phenol contents (TPC), 1,1-diphenyl-2-picylhydrazyl (DPPH) radical scavenging activity (RSA), reducing power, and ABTS RSA. TPC, DPPH RSA, reducing power, and 2,2-azinobis(3-ethylenebenzothiozoline-6-sulfonic acid) (ABTS) RSA of the extract were significantly increased with increasing treated temperature and time. For example, hydrothermal extracts at $121^{\circ}C$ for 60 min increased the TPC, DPPH RSA, reducing power, and ABTS RSA to 0.840 mg/mL, 64.77%, 1.437, and 92.11%, respectively, while those of the extracts treated at $105^{\circ}C$ for 60 min were 0.508 mg/mL, 51.23%, 0.819, and 45.22%, respectively. The results indicated that hydrothermal treatment of rice hull was very effective to increase phenolic compounds and antioxidant activity of rice hull extract.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 1997.11a
• /
• pp.165-180
• /
• 1997

일반 병렬 처리 시스템(General Purpose Multiprocessors)과는 달리, 병렬 트랜잭션(Transaction) 처리 시스템의 성능은 메모리의 계층구조와 입출력 시스템의 구조 등에 크게 영향을 받는 특징을 갖는다. 본 논문은 입출력 노드의 성능 분석에 주안점을 두고 전제 시스템에서의 입출력 노드의 개수, 병렬 디스크의 개수 및 상호연결망(Interconnection Network)과의 접속을 제공하는 스위치의 처리 용량 등의 인수들이 SPAX 병렬 트랜잭션처리 시스템의 미치는 성능의 평가 및 분석에 대한 연구 내용 기술한다. 본 연구에서는 벤치마크로는 병렬 트랜잭션 시스템의 성능 평가에 주로 사용되고 있는 TPC-C 벤치마크를 사용하며 모의 입력(Synthetic workload)을 통한 성능분석을 수행하였다. 본 연구는 입출력노드에 부하가 많이 걸릴 경우 패킷의 크기에 따라 시스템의 성능에 큰 영향을 미치며, 반면에 입출력 노드내의 상호연결망의 접속(Interface)을 제공하는 XNIF의 데이터 버퍼 개수의 증가는 시스템의 성능 향상에 기여를 하지 않음을 보여준다. 이는 시스템의 성능향상을 위해서는 패킷 전송 경로상의 모든 시스템 요소의 성능 향상이 병행되어야 함을 보여준다. 마지막으로 프로세싱노드와 입출력노드의 처리능력의 균형이 병렬 트랜잭션 시스템의 설계에 있어서 매우 중요함을 보여준다.

• The KIPS Transactions:PartC
• /
• v.17C no.6
• /
• pp.459-464
• /
• 2010

Due to the application-specific nature of wireless sensor networks, the sensitivity to such a requirement as data reporting latency may vary depending on the type of applications, thus requiring application-specific algorithm and protocol design paradigms which help us to maximize energy conservation and thus the network lifetime. In this paper, we implement and evaluate a novel delay-adaptive sensor scheduling scheme for energy-saving data gathering which is based on a two phase clustering (TPC), in wireless sensor networks. The TPC is implemented on sensor Mote hardwares. With the help of TPC implemented, sensors selectively use direct links for control and forwarding time critical sensed data and relay links for data forwarding based on the user delay constraints given. Implementation study shows that TPC helps the sensors to increase a significant amount of energy while collecting sensed data from sensors in a real environment.

• Korean Chemical Engineering Research
• /
• v.55 no.4
• /
• pp.542-547
• /
• 2017

Ultrasound-assisted extraction (UAE) has attracted growing interest, as it is an effective method for the rapid extraction of bioactive compounds from plants with a high extraction efficiency comparable to the conventional extraction. In this study, UAE was used for the extraction of polyphenols from lipid extracted microalgae (Tetraselmis KCTC 12236BP) and the effects of five extraction variables on the total phenolic compounds (TPC) were studied. For the optimization of extraction parameters, particle size, solid-to-liquid (L/S) ratio, ethanol concentration, extraction temperature and extraction time have been examined as independent variables. All variables exhibited the significant effects on the extraction of TPC and extraction temperature showed the most significant effect among five variables. The optimal extraction conditions were the extraction using mixed particle, S/L ratio of 10%, ethanol concentration of 60%, extraction temperature of $100^{\circ}C$ and extraction time of 30 min, which gave the 8.7 mg GAE/g DW for TPC. Compared with conventional hot-water extraction, TPC extraction under UAE was increased by up to 1.8 fold with same extraction condition. This study showed that UAE under low temperature and short extraction time was proven to be an effective extraction process for TPC production from LEA compared to conventional hot-water extraction process.