To perform a comparative study, we experimented on two differential epitaxial structures, the conventional metamorphic high-electron-mobility-transistor (MHEMT) using the InAlAs/InGaAs/InAlAs structure and the InP-composite-channel MHEMT adopting the InAlAs/InGaAs/InP structure. Compared with the conventional MHEMT, the InP-composite-channel MHEMT shows improved breakdown performance; more than approximately 3.8 V. This increased breakdown voltage can be explained by the lower impact ionization coefficient of the InP-composite-channel MHEMT than that of the conventional MHEMT. The InP-composite-channel MHEMT also shows improved Radio Frequency characteristics of S21 gain of approximately 4.35 dB at 50 GHz, and a cutoff frequency (fT) and a maximum frequency of oscillation (fmax) of approximately 124 GHz and 240 GHz, respectively, were obtained. These are due to decreases in go and gm.

The Ubiquitous sensor network (USN) node is required to operate for several months with limited system resources such as memory and power. The typical USN node is in the active state for less than 1% of its several month lifetime and waits in the inactive state for the remaining 99% of its lifetime. This paper suggests a power adjustment dual priority scheduler (PA-DPS) that offers low power consumption while meeting the USN requirements by estimating power consumption in the USN node. PA-DPS has been designed based on the event-driven approach and the dual-priority scheduling structure, which has been conventionally suggested in the real-time system field. From experimental results, PA-DPS reduced the inactive mode current up to 40% under the 1% duty cycle.

We propose a new three-dimensional (3D) NAND flash memory array having Tied Bit-line and Ground Select Transistor (TiGer) [1]. Channels are stacked in the vertical direction to increase the memory density without the device size scaling. To distinguish stacked channels, a novel operation scheme is introduced instead of adding supplementary control gates. The stacked layers are selected by using ground select line (GSL) and common source line (CSL). Device structure and fabrication process are described. Operation scheme and simulation results for program inhibition are also discussed.

A compact representation of the Green function is proposed by applying the discrete wavelet concept in the k-domain, which can be used for the acceleration of scattered field calculations in integral equation methods. A mathematical expression of the Green function based on the discrete wavelet concept is derived and its characteristics are discussed.

Dual-band chip antennas usually have a narrow bandwidth in the first resonance frequency band due to an inter-coupling capacitance. In order to analyze the effect of the inter-coupling capacitance, an equivalent circuit of an antenna with a branch radiator is considered in this paper. Based on the equivalent circuit model, it is found that the inter-coupling capacitance reduces impedance bandwidth. This paper proposes a gap feeding method to alleviate the effect of the inter-coupling capacitance and explains it using an equivalent circuit.

Beyond deep sub-micron era, Power Gating (PG) is one of the most effective techniques to reduce leakage power of circuits. The most important issue of PG circuit design is how to decide the width of sleep transistor. Smaller total sleep transistor width provides smaller leakage power in standby mode, however, insufficient sleep transistor insertion suffers from significant performance degradation. In this paper, we present an accurate and fast gate-level delay estimation method for PG circuits and a novel sleep transistor sizing method utilizing our delay estimation for module-based PG circuits. This method achieves high accuracy within acceptable computation time utilizing accurate discharge current estimation based on delayed logic simulations with limited input vector patterns and by realizing precise current characteristics for logic gates and sleep transistors. Experimental results show that our delay estimation successfully achieves high accuracy and avoids overestimation and underestimation seen in conventional method. Also, our sleep transistor sizing method on average successfully reduces the width of sleep transistors by 40% when compared to conventional methods within an acceptable computation time.

In this letter we consider topology control and routing problem in wireless networks where equipped with point-to-point wireless links such as directional antennas or free space optics. In point-to-point wireless networks, each node has a limited number of transceivers and hence can communicate with only a limited number of nodes within its transmission range. The selection of the limited number of neighbors is very critical for the network performance. In this letter, we propose a topology control algorithms which consider the topology control and routing of each demand is considered simultaneously. For this, we introduce the degree constraint shortest path problem for finding optimal (shortest) paths in wireless point-to-point networks. Also, we propose two topology control algorithms: minimum hop (MHA) and resource availability ratio (RAR) algorithm. The resource availability ratio algorithm considers not only the available link bandwidth but also the available interfaces between neighbors. By simulation experiments, we compare the performance of each algorithm.

A planar inverted-E (PIE) antenna that can achieve a wide impedance bandwidth is proposed. The antenna is realized by inserting a branch capacitance between the feed line and the shorting pin of a conventional planar inverted-F antenna (PIFA). Such a modification significantly enhanced the impedance bandwidth while maintaining the antenna size. The proposed antenna possesses a very wide impedance bandwidth of 1250 MHz (1650-2900 MHz) at a voltage standing wave ratio (VSWR) <3. In addition, good radiation patterns were obtained at the desired frequency bands.

A dielectric resonator antenna (DRA) is located below a radiating patch of an planar inverted F antenna (PIFA) to achieve a compact hybrid antenna and a multiple band operation. Loop-type structures with PIFA shorting pins are used as feeds for both the DRA and the PIFA. The proposed antenna operates well in two frequency bands without perturbing the fundamental radiation characteristics of each operating radiation mode of the DRA and the PIFA. Its electromagnetic performance and the desirable practical size of the proposed hybrid antenna are attractive for small mobile communication devices.

In this paper, the power plane resonance problem in a multi-layered PCB is numerically analyzed by applying the alternating-direction implicit (ADI) FDTD method. This method is extremely suitable for analyzing the power plane resonance problems having locally fine structures of two closely located planes. This paper also analyzes the effect of the decoupling capacitor, which is one of the solutions for reducing the resonance problem. The results of the ADI-FDTD agree well with those of the conventional FDTD and the analytic solutions, and the computational CPU time is reduced to about a half of that of the conventional FDTD.

We propose a Solid-State Disk (SSD) with a Double Data Rate (DDR) DRAM interface for high-performance PCs. Traditional SSDs simply inherit the interface protocol of Hard Disk Drives (HDD) such as Parallel Advanced Technology Attachment (PATA) or Serial-ATA (SATA) for maintaining the compatibility. However, SSD itself provides much higher performance than HDD, hence the interface also needs to be enhanced. Unlike the traditional SSDs, the proposed SSD with DDR DRAM interface is placed in the North Bridge which provides two or more DDR DRAM interface ports in high-performance PCs. The novelty of our work is on DQS signaling scheme which allows arbitrary Column Address Strobe (CAS) latency unlike typical DDR DRAM interface scheme. The experimental results show that the proposed SSD maximally outperforms the traditional SSD by 8.7 times in read mode, by 1.5 times in write mode. Also, for synthetic workloads, the proposed scheme shows performance improvement over the conventional architecture by a factor of 1.6 times.

We investigate a least squares (LS) based multi-step autoregressive (AR) prediction filter for delay compensation over MIMO channels. We describe the robustness of an adaptive MIMO-OFDM with that filter over mobile fading channels.

Caches are one of the most leakage consuming components in modern processor because of massive amount of transistors. To reduce leakage power of caches, several techniques using power-gating (PG) were proposed. Despite of its high leakage saving, a side effect of PG for caches is the loss of data during a sleep. If useful data is lost in sleep mode, it should be fetched again from a lower level memory. This consumes a considerable amount of energy, which very unfortunately mitigates the leakage saving. This paper proposes a new PG scheme considering data retentiveness of SRAM. After entering the sleep mode, data of an SRAM cell is not lost immediately and is usable by checking the validity of the data. Therefore, we utilize data retentiveness of SRAM to avoid energy overhead for data recovery, which results in further chance of leakage saving. To check availability, we introduce a simple hardware whose overhead is ignorable. Our experimental result shows that utilizing data retentiveness saves up to 32.42% of more leakage than conventional PG.

Ground antennas are suitable for use in mobile electronic devices due to their compactness. These ground antennas incorporate two capacitors for controlling the resonance frequency and a shorting loop for impedance matching. In this work, we compare the performance of a ground antenna with that of a meandered inverted-F antenna (IFA). It is numerically and experimentally shown that a ground antenna can yield simultaneous improvements in both the antenna size and radiation efficiency when compared to the meandered IFA. The bandwidth of the ground antenna for a voltage standing wave ratio (VSWR) of 3:1 is 240 MHz from 2350 MHz to 2590 MHz, while the minimum total antenna efficiency is 62% within the 2.4 GHz ISM band.

In this paper, we propose a memory-efficient structure for a pulse Doppler radar in order to reduce the hardware's complexity. The conventional pulse Doppler radar is computed by fast frequency transform (FFT) of all range cells in order to extract the velocity of targets. We observed that this method requires a huge amount of memory to perform the FFT processes for all of the range cells. Therefore, instead of detecting the velocity of all range cells, the proposed architecture extracts the velocity of the targets by using the cells related to the moving targets. According to our simulations and experiments, the detection performance of this proposed architecture is 93.5%, and the proposed structure can reduce the hardware's complexity by up to 66.2% compared with the conventional structure.

For an efficient time-domain modeling of thin-film bulk acoustic wave resonators (TFBARs), a unconditionally stable finite-difference time-domain method based on the alternating direction implicit scheme (ADI-FDTD) is introduced to the analysis of a typical TFBAR structure. Because the time step size in ADI-FDTD is free from the stability constraint, this method is very useful to analyze electromechanical phenomena of TFBARs having fine geometrical variations, which is a challenging problem to conventional FDTD modeling. To validate the proposed scheme, the impedance characteristics are obtained by the proposed method and compared with the traditional FDTD results and the analytical solutions.

The multinomial naive Bayes model has been widely used for probabilistic text classification. However, the parameter estimation for this model sometimes generates inappropriate probabilities. In this paper, we propose a topic document model for the multinomial naive Bayes text classification, where the parameters are estimated from normalized term frequencies of each training document. Experiments are conducted on Reuters 21578 and 20 Newsgroup collections, and our proposed approach obtained a significant improvement in performance compared to the traditional multinomial naive Bayes.

Metadata registry (MDR) is based on the international standard ISO/IEC 11179. The committee of ISO/IEC JTC 1/SC 32, which had standardized the MDR, has started to improvise the MDR, and the improvised version is named extended MDR (XMDR). However, the XMDR does not fully support the ontology concept, and no method is available for mapping ontology registrations onto registries. To overcome the limitations of the outdated XMDR, this paper proposes an extended XMDR (XMDR+) framework. The XMDR+ framework provides a method for mapping of ontology registrations between the metadata registry and ontologies. To improve the functions of the XMDR, we have proposed herein a framework that is capable of defining a model that manages the relations not only among ontological concepts but also among instances, and guarantees the management and storage of their relationships for supporting valid relations of the ontologies.

In numerical simulations of microwave structures using the alternating-direction implicit finite-difference time-domain (ADI-FDTD) method, the time marching scheme comprises two sub-iterations, where different updating schemes for evaluating E and H fields at each sub-iteration can be adopted. In this paper, the E-field implicit-updating (EFIU) and H-field implicit-updating (HFIU) schemes are compared with each other especially with regard to the implementation of local boundary conditions.

This paper describes a stock trading system based on reinforcement learning, regarding the process of stock price changes as Markov decision process (MDP). The system adopts two popular reinforcement learning algorithms, temporal-difference (TD) and Q, for selecting stocks and optimizing trading parameters, respectively. Input features of the system are devised using technical analysis and value functions are approximated by feedforward neural networks. Multiple cooperative agents are used for Q-learning to efficiently integrate global trend prediction with local trading strategy. Agents communicate with others sharing training episodes and learned policies, while keeping the overall scheme of conventional Q-learning. Experimental results on the Korean stock market show that our trading system outperforms the market average and makes appreciable profits. Furthermore, we can find that our system is superior to a system trained by supervised learning in view of risk management.