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Monitoring of induction motor faults based on stray flux measurement has been investigated by many researchers due to its potential benefits in cost and simplicity. Although it was shown that flux-based monitoring can provide sensitive fault detection comparable to that of motor current signature analysis, the lack of “remote” monitoring capability has limited its practical use. The performance and reliability of stray flux-based detection of induction motor rotor cage faults are evaluated in this paper. It is shown for the first time in this work that the spectrum analysis of the radial stray flux can provide reliable detection of rotor faults immune to the influence of rotor axial air ducts, which is the most common cause of false rotor fault alarms. The reliability and sensitivity of stray flux-based rotor fault detection are demonstrated through experimental testing on laboratory and 6.6 kV field motors.

A front-end for multi-generator power system was recently proposed, which utilizes a single wye-delta (Y-Δ) transformer to shunt between the two 30° phase-shifted generator outputs. The shunt type phase-shift transformer front-end provides comparable 5th and 7th harmonic elimination performance to the conventional 12-pulse rectifier with more than 75% transformer size reduction. In this paper, a hybrid front end, which consists of the shunt Y-Δ transformer and an active power filter is proposed to further improve the power quality. In this configuration, 11th and 13th harmonics from nonlinear load are actively compensated by the active power filter and 5th and 7th harmonics are trapped by Y-Δ transformer. Theoretically, the performance of the proposed front end is equivalent to a traditional 24-pulse rectifier with a significant reduction in the overall size and weight, which makes it attractive to large-scale industrial and shipboard applications. The harmonic cancellation principle of the proposed front end is derived and verified by simulation and experimental results.

Switched reluctance motor (SRM) has double saliency structure and operates under the saturated condition to achieve high energy conversion ratio. Therefore, the magnetic characteristics of switched reluctance motor is highly non-linear that the actual inductance profile can not be simply obtained by the inductance measurement instrument. As the control performance of SRM drive is highly dependent on a priori knowledge of magnetic characteristics, the accurate measurement is important. This paper presents the incremental inductance measurement method through closed loop current control. The rate of change of the phase current is captured by additional sampling instant. The effects of phase resistance variation, core loss, and power device voltage drop are considered to minimize the measurement error. The measurement results are verified with LCR meter and torque transducer measurement.

Implementing prototypes and engineering design education that requires creativity among engineering students has become a universal trend. Engineering design education is a subject taught in a setting where students gather in a team, decide on a single topic, and cooperate with one another to perform a project. Team project based evaluation is a main part of engineering design education. Many instructors agree that harmonizing creative evaluation and outcome assessment is difficult. To resolve this issue, we have surveyed various creativity assessments and engineering design education methodologies, and have modelled existing evaluating elements into a creative process and outcome assessment framework for each team project assessment. We have evaluated students in three levels (fair, good, and excellent) for each assessment element. Based on the survey results from students who took the course, we concluded that the new assessment model is an innovative method of assessment that enhanced both the students’ and the instructor’s satisfaction of the course.

Blind modulation format identification (MFI) is essential in an elastic optical network (EON) due to unknown modulation format of the received signals. We propose an MFI method for square and non-square quadrature amplitude modulation (QAM) signals, quadrature phase-shift keying (QPSK), 8-QAM, 16-QAM, 32-QAM, 64-QAM, 128-QAM, 256-QAM, 512-QAM, 1024-QAM, and 2048-QAM. We identified these modulation formats by using two identification factors such as the amplitude variance and the optical signal-to-noise ratio (OSNR) of the received signal. The simulation results based on a look-up-table (LUT) and a neural network, respectively, show that the modulation format of the received signals can be identified correctly in the OSNR range of a bit error rate (BER) for communication, better than 10−2. We also investigate effects of both ONSR measurement errors and residual chromatic dispersion (CD) on the MFI performance.

Studies on the organization of conceptual knowledge have examined categories of concrete nouns extensively. Less is known about the neural basis of verb categories suggested by linguistic theories. We used functional MRI to examine the differences between manner verbs, which encode information about the manner of an action, versus instrument verbs, which encode information about an object as part of their meaning. Using both visual and verbal stimuli and a combination of whole brain univariate and multivariate pattern analyses, our results show that accessing conceptual representations of instrument class involves brain regions typically associated with complex action and object perception, including the anterior inferior parietal cortex and occipito-temporal cortex. On the other hand, accessing conceptual representations of the manner class involves regions that are commonly associated with the processing of visual and biological motion, in the posterior superior temporal sulcus. These findings support the idea that the semantics of manner and instrument verbs are supported by distinct neural mechanisms.

The authors would like to make the following corrections to this paper [...]

Item does not contain fulltext Previous studies have shown that affective valence states induced by brief stimulus presentations are identifiable from whole brain activation patterns observed with functional magnetic resonance imaging (fMRI). However, it is unclear whether those results will generalize to identification of continuous changes in affective valence states under naturalistic settings, such as watching a movie. We examined neural representations of signed (positive versus negative) and unsigned (valenced versus non-valenced) valence on previously collected fMRI data from 17 participants who watched a TV show episode in a passive viewing task in the scanner (Chen et al., 2017). These data were correlated with behavioral valence ratings from a separate group of 125 participants. We spatially localized both signed and unsigned valence representations and were able to predict valence ratings for most participants based on the signed valence model in a cross-participant cross-validation procedure. These findings extend previous results from controlled experimental studies to naturalistic settings, demonstrating the ecological validity of prior findings. 9 p.

A 12-pulse rectifier has been widely used for harmonic mitigation in a large-scale power system. Recently, a shunt phase-shift transformer rectifier was proposed and already has been utilized in a marine transportation. For a power system equipped with multiple generators, the shunt phase-shift transformer front-end selectively eliminates 5th and 7th harmonic component with more than 75% size reduction over the conventional 12-pulse rectifier. However, a shunt phase-shift transformer rectifier requires additional source inductors to eliminate the undesired harmonics and the relationship between the source impedance and harmonic elimination has not been verified. This paper evaluates the effect of the line inductor on a harmonic cancellation performance of the shunt phase-shift transformer. An equivalent circuit analysis and a mathematical derivation of the shunt phase-shift transformer rectifier are provided and the relationship between the source impedance and harmonic cancellation is mathematically derived. The computer simulation and experimental test results from proto type hardware verify the equivalent model and the mathematical analysis.

Concrete words have been shown to have a processing advantage over abstract words, yet theoretical accounts and neural correlates underlying the distinction between concrete and abstract concepts are still unresolved. In an fMRI study, participants performed a property verification task on abstract and concrete concepts. Property comparisons of concrete concepts were predominantly based on either visual or haptic features. Multivariate pattern analysis successfully distinguished between abstract and concrete stimulus comparisons at the whole brain level. Multivariate searchlight analyses showed that posterior and middle cingulate cortices contained information that distinguished abstract from concrete concepts regardless of feature dominance. These results support the view that supramodal convergence zones play an important role in representation of concrete and abstract concepts.

A position sensorless control method for switched reluctance motors from standstill to running without pre-stored magnetic characteristics is proposed. For startup, diagnosing pulses are injected into all three phases, and the current magnitudes of all phases are examined to estimate the rotor position. Additionally, a phase current vector method is applied to eliminate the risk of locked-rotor and startup hesitations. In running condition, diagnosing pulses are injected to two non-torque productive phases to estimate the position and commutation instant. An angle tracking observer estimates the continuous angle from the acquired discrete position information. The proposed method does not require any prior knowledge of the switched reluctance motor except the pole configuration. Therefore, memory storage for magnetization curves of a switched reluctance motor is not needed. The experimental results show a hesitation-free startup, a good speed reference tracking, and an accurate position estimation performance under different load conditions.

Data mining plays a critical role in the sustainable decision making. The k-prototypes algorithm is one of the best-known algorithm for clustering both numeric and categorical data. Despite this, however, clustering a large number of spatial object with mixed numeric and categorical attributes is still inefficient due to its high time complexity. In this paper, we propose an efficient grid-based k-prototypes algorithms, GK-prototypes, which achieves high performance for clustering spatial objects. The first proposed algorithm utilizes both maximum and minimum distance between cluster centers and a cell, which can remove unnecessary distance calculation. The second proposed algorithm as extensions of the first proposed algorithm utilizes spatial dependence that spatial data tend to be more similar as objects are closer. Each cell has a bitmap index which stores categorical values of all objects in the same cell for each attribute. This bitmap index can improve the performance in case that a categorical data is skewed. Our evaluation experiments showed that proposed algorithms can achieve better performance than the existing pruning technique in the k-prototypes algorithm.

Hypothalamic endoplasmic reticulum (ER) stress is known to be increased in obesity. Induction of ER stress on hypothalamic neurons has been reported to cause hypothalamic neuronal apoptosis and malfunction of energy balance, leading to obesity. Carbenoxolone is an 11β-hydroxysteroid dehydrogenase type 1 (11β-HSD1) inhibitor that converts inactive glucocorticoid into an active form. In addition to its metabolic effect via enzyme inhibitory action, carbenoxolone has shown anti-apoptotic activity in several studies. In this study, the direct effects of carbenoxolone on ER stress and cell death in hypothalamic neurons were investigated. Carbenoxolone attenuated tunicamycin induced ER stress-mediated molecules such as spliced XBP1, ATF4, ATF6, CHOP, and ROS generation. In vivo study also revealed that carbenoxolone decreased tunicamycin-induced ER stress in the hypothalamus. In conclusion, the results of this study show that carbenoxolone has protective effects against tunicamycin induced-ER stress and apoptosis in hypothalamic neurons, suggesting its direct protective effects against obesity. Further study is warranted to clarify the effects of carbenoxolone on hypothalamic regulation of energy balance in obesity.

It has recently been shown that spectrum analysis of instantaneous power can provide sensitive online detection of rotor faults in induction motors compared with current, torque, speed, or vibration spectrum analysis. However, it was reported that monitoring of the twice slip frequency, $2sf_{s}$ , components induced by the fundamental component can produce false rotor fault alarms due to asymmetry in the rotor or low frequency load oscillations. In this paper, the rotor fault components induced in the power spectrum by the stator fifth and seventh space harmonics are derived to evaluate their immunity to false alarms. It is shown that the $(6 - 8s)f_{s}$ component can provide reliable detection of rotor faults under cases where existing methods produce false alarms. An experimental study performed on custom built rotor samples shows that the new components are capable of detecting rotor faults immune to false alarms produced by rotor axial air ducts, rotor anisotropy, and low frequency load oscillations for cases where existing methods fail. The components derived in this paper can also be applied to vibration, speed, torque, or acoustic monitoring for reliable detection of rotor faults.

If nongrain-oriented rotor laminations are punched and stacked in a uniform direction, magnetic asymmetry is present in the rotor core due to the nonideal magnetic anisotropy. In this paper, it is shown that the influence of rotor core anisotropy can be misinterpreted as rotor faults in two-pole induction motors when performing motor current signature analysis. A detailed analysis of the influence of rotor core anisotropy shows that components produced by the rotor fault and rotor anisotropy interact, making reliable fault detection difficult. It is also shown that offline testing is currently the only available means of detecting the fault, and online monitoring of the space harmonics-induced current components is proposed as a viable solution for providing reliable rotor fault detection for two-pole motors with rotor anisotropy. The analysis and conclusions presented in this paper are verified through testing on custom-built lab motors and on 3.3-kV motors.

Polyacrylonitrile/poly(acrylic acid) (PAN/PAA with weight radios of 3/7, 4/6, 5/5, 6/4, 7/3 and 10/0) nanofibers (NFs) were prepared as filter medium by electrospinning. The tensile strength of blended nanofibrous mats increased as increasing PAA content, from 3.8 to 6.6 MPa, higher than pristine PAN. The mesoporous effect of nanofibrous mats was also investigated from the nitrogen physisorption isotherms, average pore size in the range of 17–44 nm. Air filtration efficiency and pressure drop of nanofibrous mats were evaluated. PAN/PAA (6/4) NFs showed high filtration efficiency (99.994 %) with lowest pressure drop (160 Pa) for 300–500 nm sodium chloride aerosol particles at a 5.3 cm/s airflow velocity, which suggested this material was appropriate as a promising candidate for high performance filters.

In this paper, we presented the fabrication of human hair derived keratin/poly(vinyl alcohol) composite nanofibers exhibiting high optical transmittance by using simple and versatile electrospinnig technique. Keratin was extracted from human hair by sulphitolysis process and glyoxal solution was used as crosslinking agent in the system. More interestingly, the high optical transmittance (∼88% at a wave length of 600 nm) of the composite was achieved by simply immersing it in water without adding any additive. Furthermore, the tensile strength and Young's Modulus of the transparent composite nanofibers were also found to be increased (19 and 272.8 MPa) as compared to the PVA nanofibers (10.7 and 72.4 MPa).

Previous studies have shown that task sets can be identified from functional magnetic resonance imaging (fMRI) data. However, these results may be partially confounded by differences in stimulus features associated with the different tasks. We disentangle stimulus modality and task features by presenting the same stimulus while varying task, and conversely, presenting different stimuli using the same task. Analyses were conducted on fMRI data previously collected on twenty participants who made either affective or semantic judgements of the same music pieces or the same silent video clips (Kim et al., 2017). Holding stimuli constant, task set was identified from fMRI data across individuals from both task activation data and functional connectivity data. Thus, we were able to identify whether participants made affective or semantic judgments when exposed to identical stimuli based on the task activation and functional connectivity data from other participants. Moreover, task set was successfully identified for cross-modal prediction in which stimuli in the training set bore no resemblance to those in the test set (e.g., using videos data to predict task for music data). Brain regions that were sensitive to tasks irrespective of sensory modality were identified by univariate and searchlight analyses of fMRI data. Consistent with a frontal-parietal network, middle frontal gyrus, inferior parietal gyrus, mid-cingulate cortex, and superior temporal sulcus were found to be key regions distinguishing the two task sets.

The citation of Hellstrom (1985) in the body and the reference section of this article is incorrectly printed as Helstrom.

Human Computer Interaction (HCI) is a discipline dealing with the study, planning, and design of interactions between humans and computers. The prevalent use of digital devices is increasing the need for research and education on HCI. Paying a close attention to HCI is important as poorly designed user interfaces can lead to unexpected problems. This work is focused on a new education method geared towards reducing errors and exceptions while developing a program, incorporating role-changing brainstorming techniques during HCI design process. According to the proposed approach, two evaluation elements, including the ability to find errors and exceptions and the ability to present alternative solutions when faced with these errors, are considered. Through a role-changing brainstorming based design exploration, a low-fi prototype was developed to set up an assessment method incorporating quantitative and qualitative factors for a team-based HCI project.

In this study, chemical bath deposition method was used to grow Zinc sulfide(ZnS) thin films from NH3/SC(NH2)2/ZnSO4 solutions at 90°C. ZnS thin films have been prepared onto ITO glass. The concentrations of ZnSO4 and NH were varied while the concentration of Thiourea was fixed in 0.52 M. Structural, optical, electrical characteristic of ZnS thin films were measured. The physical and optical properties of different ZnS thin films were influenced severely by the concentration of the two reacting chemicals. The optimal concentration of ZnSO4 and NH3 was 0.085 M and 1.6 M, respectively.

An easy method for preparation of graphene is described. Graphite was affected by Electron Beam Irradiation (EBI) and liquid nitrogen (LN). After EBI/LN treatment at a dose of 100 kGy, graphite flakes were further treated by a hydrothermal (H) method, and were characterized by a Transmission Electron Microscope (TEM), X-ray Diffraction (XRD), and Raman spectroscopy. This easy method provides the increased spacing interlayer and disordered graphite, resulting successful exfoliation of graphite flakes. In contrast to the modified Hummer׳s method, EBI/LN/H treated graphene exhibited higher thermal stability (weight loss of about 1.02% at 800 °C) due to lower defects than graphene oxide (GO) synthesized by the modified Hummer׳s method.

r r Abstract: There is converging evidence that people rapidly and automatically encode affective dimen- sions of objects, events, and environments that they encounter in the normal course of their daily rou- tines. An important research question is whether affective representations differ with sensory modality. This research examined the nature of the dependency of affect and sensory modality at a whole-brain level of analysis in an incidental affective processing paradigm. Participants were pre- sented with picture and sound stimuli that differed in positive or negative valence in an event-related functional magnetic resonance imaging experiment. Global statistical tests, applied at a level of the individual, demonstrated significant sensitivity to valence within modality, but not valence across modalities. Modality-general and modality-specific valence hypotheses predict distinctly different mul- tidimensional patterns of the stimulus conditions. Examination of lower dimensional representation of the data demonstrated separable dimensions for valence processing within each modality. These results provide support for modality-specific valence processing in an incidental affective processing paradigm at a whole-brain level of analysis. Future research should further investigate how stimulus- specific emotional decoding may be mediated by the physical properties of the stimuli. Hum Brain Mapp 35:3558-3568, 2014. V C 2013 Wiley Periodicals, Inc.

Cu(In,Ga)Se 2 (CIGS) thin films were fabricated with varying Cu contents. Cu/(Ga + In) ratios were varied between 0.4 and 1.02. Solar cells were then fabricated by co-evaporation using the CIGS layers as absorbers. The influences of Cu content on the cells' structural, optical and electrical properties were studied. The CIGS thin films were characterized by X-ray diffractometer, scanning electron microscopy, energy-dispersive spectroscopy, four-point probe measurement and Hall measurement. Grain size in the films increased with increasing Cu content. At a Cu/(Ga + In) ratio of 0.86, the (220/204) peak was stronger than the (112) peak and carrier concentration was 1.49 × 10 16 cm − 3 . Optimizing the Cu content resulted in a CIGS solar cell with an efficiency of 16.5%.

In this study, (CIGS) thin films were prepared on the Mo coated soda-lime glass by the DC magnetron sputtering and a subsequent selenization process. For the selenization process, selenization rapid thermal process(RTP) with cracker cell, which was helpful to smaller an atomic of Se, was adopted. To make CIGS layer, they were then annealed with the cracked Se. Based on this selenization method, we made several CIGS thin film and investigated the effects of In deposition time, and selenization time. Through x-ray diffraction (XRD), scanning electron microscope (SEM), energy dispersive spectroscopy (EDS), and atomic force microscopy (AFM), it is found that the Mo/In/CuGa structure and the high sputtering power shows the dominant chalcopyrite structure and have a uniform distribution of the grain size. The CIGS films with the In deposition time of 5 min has the best structure due to the smooth surface. And CIGS films with the selenization time of 50 min show good crystalline growth without any voids.

Artificial intelligence is defined as a discipline that a machine works well in the field of sensing, thinking, and decision like as people. The introduction of intelligent systems and devices has developed an interest in artificial intelligence among university instructors and students. Because artificial intelligence is a wide topic, the course being taught tends to focus on theoretical aspects of the subject rather than its practical uses. The experiment of using Java applet examples based multimedia courseware and a well-known data mining tool called WEKA has been conducted to incorporate both the theoretical and the practical uses of artificial intelligence in college education. After the experiment has been conducted, students have completed surveys to whether or not this way of learning was effective. The results showed the increase in students’ understanding of this subject area than before.

Theα-glucosidase inhibitor, 1-deoxynojirimycin (DNJ), is widely used for its antiobesity and antidiabetic effects. Researchers have demonstrated that DNJ regulates body weight by increasing adiponectin levels, which affects energy intake and prevents diet-induced obesity. However, the mechanism by which centrally administered DNJ exerts anorexigenic effects has not been studied until now. We investigated the effect of DNJ in the hypothalamus of mice with high-fat diet-induced obesity. Results showed that intracerebroventricular (ICV) administration of DNJ reduced hypothalamic ER stress, which activated the leptin-induced Janus-activated kinase 2 (JAK2)/signal transducers and activators of transcription 3 (STAT3) signaling pathway to cause appetite suppression. We conclude that DNJ may reduce obesity by moderating feeding behavior and ER stress in the hypothalamic portion of the central nervous system (CNS).

We recently reported the in vitro and in vivo antiobesity effects of Tenebrio molitor larvae, a traditional food in many countries, but it remains unknown how the larvae affect appetite regulation in mice with diet-induced obesity. We hypothesized that the extract of T molitor larvae mediates appetite by regulating neuropeptide expression. We investigated T molitor larvae extract's (TME's) effects on anorexigenesis and endoplasmic reticulum (ER) stress-induced orexigenic neuropeptide expression in the hypothalami of obese mice. Intracerebroventricular TME administration suppressed feeding by down-regulating the expression of the orexigenic neuropeptides neuropeptide Y and agouti-related protein. T molitor larvae extract significantly reduced the expression of ER stress response genes. These results suggest that TME and its bioactive components are potential therapeutics for obesity and ER stress-driven disease states.

Korean adults’ internet addiction diagnosis measure, K-scale developed by Korea National Information Society Agency, is composed of 4 categories including 20 items. This scale can diagnose user’s internet addiction with individual’s questionnaire items. Most previous research works were done to understand the reasons of internet addiction and to judge whether adolescents are addicted to the internet or not with their samples. This research is performed to find a factor that affects the user’s online addiction. By utilizing some statistical analysis and data mining techniques, we found out that tolerance and preoccupation factor is the main factor in judging individual’s internet addiction.

Various models of a seated human body have been developed in the literature so far based on measurements of apparent mass in the vertical Z -direction alone or fore-and-aft X -direction alone. As the authors observed that accelerations in both X and Z directions are equally significant in tests on an excavator working in a quarry, 3×3 apparent inertia matrix was experimentally obtained as functions of frequency by exciting the seated human body in the Z – X plane, i.e. providing two translational motions in the Z and X axes and one angular motion about the Y -axis. A subject in slightly slouched posture was sitting on a seat without backrest and the hands were on lap. Five resonances were found in the frequency range of interest, i.e. up to 20 Hz, below 1 Hz and at 3, 5.25, 8, 9.5 Hz, which is one more than four resonances found in previous researches. The resonance at 8 Hz was newly found in only pitch component of the apparent inertia matrix. Since the experiment was carried out only for one subject, it may not be guaranteed that the new resonance is generally applicable. A 5-degree-of-freedom (dof) model with 23 parameters is proposed for the description of the apparent inertia matrix of a seated human body. The 8 geometric parameters were included in the model in order to describe the couplings between coordinates. The model yielded the resonances at 0.61, 3.3, 5.1, 8.8 and 9.8 Hz, which are near to observations of the experiment. The parameters of the models may not necessarily represent the physical values of a human body because only the apparent inertia matrix at human body–seat interface was reflected. The model may not be perfect because the apparent inertia matrix was obtained from only one subject. Yet, the observations and the model in this research could be a guideline or reference in future researches to obtain more perfect models. Since the vibration responses in the Z – X plane at the human–seat interface can be predicted using the proposed 5-dof model, this model could be used for evaluation of a seat system by computer simulations from the aspect of ride comfort and health.

Data mining plays a critical role in sustainable decision-making. Although the k-prototypes algorithm is one of the best-known algorithms for clustering both numeric and categorical data, clustering a large number of spatial objects with mixed numeric and categorical attributes is still inefficient due to complexity. In this paper, we propose an efficient grid-based k-prototypes algorithm, GK-prototypes, which achieves high performance for clustering spatial objects. The first proposed algorithm utilizes both maximum and minimum distance between cluster centers and a cell, which can reduce unnecessary distance calculation. The second proposed algorithm as an extension of the first proposed algorithm, utilizes spatial dependence, spatial data tends to be similar to objects that are close. Each cell has a bitmap index which stores the categorical values of all objects within the same cell for each attribute. This bitmap index can improve performance if the categorical data is skewed. Experimental results show that the proposed algorithms can achieve better performance than the existing pruning techniques of the k-prototypes algorithm.

The main techniques for identifying objects in an Internet of things environment are based on radio frequency identification, in which a specific object is identified by the reader through the tag mounted on the object. When there are multiple tags in the reader’s interrogation zone, they respond simultaneously to the reader’s request, thus causing a collision between the signals sent simultaneously to the reader from those tags. Such collisions reduce the data accuracy and prolong the identification time, thus making it difficult to provide a rapid service. This paper explores a hybrid anti-collision protocol, namely, the hybrid dynamic-binary ALOHA anti-collision protocol, which is designed to prevent tag collision and to enable more stable information transmission by improving the existing tag anti-collision protocols. The proposed protocol has achieved performance enhancement by shortening the tag identification process when tag collision occurs by combining the ALOHA and binary search protocols. In contrast to the existing protocols, whereby the reader’s request is repeated after detecting a collision, the proposed protocol shortens the tag identification time by requesting only the collision bits. This contributes to a substantial reduction in the object identification time in an IoT environment.

This study examined the effects of an oxygen plasma treatment on the properties of ZnO nanowires with diameters of 80 nm using a single nanowire field effect transistor. After the oxygen plasma treatment, the carrier concentration and mobility of individual ZnO nanowires decreased with a substantial positive shift in the threshold voltage. The shifting was accounted to the surface modification, resulted to the improved gas sensitivity under hydrogen gas exposure and an enhanced photocurrent response time in ultraviolet illumination. The plausible surface mechanisms responsible for these significant changes after the surface modification were suggested by considering the surface analysis and electrical transport mechanism.

One of major purposes of a RFID system is to track moving objects using tags attached to the objects. Because a tagged object has both location and time information expressed as the location of the reader, we can index the trajectory of the object like existing spatiotemporal objects. More efficient tracking may be possible if a spatiotemporal trajectory can be formed of a tag, but there has not been much research on tag trajectory indexes. A characteristic that distinguishes tags from existing spatiotemporal objects is that a tag creates a separate trajectory in each reader by entering and then leaving the reader. As a result, there is a trajectory interruption interval between readers, in which the tag cannot be located, and this makes it difficult to track the tag. In addition, the point tags that only enter and don`t leave readers do not create trajectories, so cannot be tracked. To solve this problem, we propose a tag trajectory index called TR-tree (tag trajectory R-tree in RFID system) that can track a tag by combining separate trajectories among readers into one trajectory. The results show that TR-tree, which overcomes the trajectory interruption superior performance than TPIR-tree and R-tree.

To construct user profiles automatically, an extraction method for representative keywords from a set of documents is needed. In our previous works, we suggested such a method and showed its usefulness. Here, we apply it to the classification problem and observe how much it contributes to performance improvement. The method can be used as a linear document classifier with few modifications. So, we first evaluate its performance for that case. The method is also applicable to some non-linear classification methods such as GIS (Generalized Instance Set). In GIS algorithm, generalized instances are built from training documents by a generalization function and then the K-NN algorithm is applied to them, where the method can be used as a generalization function. For comparative works, two famous linear classification methods, Rocchio and Widrow-Hoff algorithms, are also used. Experimental results show that our method is better than the others for the case that only positive documents are considered, but not when negative documents are considered together.

Recent evidence has suggested that the Korean horn beetle (Allomyrina dichotoma) has anti-hepatofibrotic, anti-neoplastic, and antibiotic effects and is recognized as a traditional medicine. In our previous works, Allomyrina dichotoma larvae (ADL) inhibited differentiation of adipocytes both in vitro and in vivo. However, the anorexigenic and endoplasmic reticulum(ER) stress-reducing effects of ADL in obesity has not been examined. In this study, we investigated the anorexigenic and ER stress-reducing effects of ADL in the hypothalamus of diet-induced obese (DIO) mice. Intracerebroventricular (ICV) administration of ethanol extract of ADL (ADE) suggested that an antagonizing effect on ghrelin-induced feeding behavior through the mTOR and MAPK signaling pathways. Especially, ADE resulted in strong reduction of ER stress both in vitro and in vivo. These findings strongly suggest that ADE and its constituent bioactive compounds are available and valuable to use for treatment of various diseases driven by prolonged ER stress.

When a mail was given to users, each user`s response could be different according to his or her preference. This paper presents a solution for this situation by constructing a user preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or ron-spam in a meaningful way. We also suggest a new rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

The skyline has studied for recommendation user preferred data in database field. Conventional skyline searches data object in 2D query point however there is a shortcoming that a user who is a query point finds data from 1-quardrant and it is difficult to search around data. Recommending objects is to consider user's preferences however traditional skyline uses a query point of origin (0, 0). Reversely, if objects search users' preferences and serve the information to user, this is more user-oriented scheme. Reverse skyline has studied to suggest user preferred data from objects. We proposed advanced branch-and-bound reverse skyline query to search exact object and recommend them to users. The scheme considers more space utilization according to division of search area. There are benefits for querying object such as searching time and CPU cost.

In this paper, we proposed a game framework that applied the haptic device to the game for efficient conveyance of the tactile sensation and it is based on the input and output in the 3D. Also, we propose the kinesthetic feedback on the game framework and implement a realistic game in serious game using this proposed framework. Then we verify the efficiency of ours framework by exam the satisfaction of the user in this game.

Recent investigations of the neural correlates of affect elicited from different modalities have found both modality-general and modality-specific representations (Chikazoe et al., 2014). The implications for how physiological responses to affect differ across stimulus modalities have not been fully investigated. This study examined similarities and differences between physiological signatures of affect derived from two different modes of presentation: visual pictures and auditory music sampled from an affective space defined by valence and arousal. Electromyography recordings for the zygomaticus major (EMGZ) and corrugator supercilii (EMGC) were measured along with heart rate and skin conductance level (SCL). Multidimensional scaling was used to visualize relationships from physiological and behavioral responses, and the observed relationships were statistically evaluated using multivariate and univariate analyses. Results for physiological measures demonstrated that valence was represented in the same general way across modalities, primarily reflected in EMGC responses. Arousal, however, was represented in a modality-specific manner, with SCL and EMGZ sensitive to music-based arousal but not picture-based arousal. Stimulus modality itself was predicted from EMGC. Thus, physiological responses to valence were similar across modalities but physiological responses to arousal differed across modalities. These results support the utility of testing for affective markers across modalities within the same experimental setting to reveal how physiological responses are linked to either affect, stimulus modality or both.

We performed SEREX (serological analysis of recombinant cDNA expression library) to identify autoantibodies that are prevalent in the cerebrospinal fluid of patients with moyamoya disease. These autoantibodies include PC326 (of unknown function), SRY (sex determining region Y), and peroxisomal D3,D2-enoyl-CoA isomerase.

It is important to retrieve exact information coinciding with user`s need from lots of Usenet news and filter desired information quickly. Differently from email system, we must previously register our interesting news group if we want to get the news information. However, it is not easy for a novice to decide which news group is relevant to his or her interests. In this work, we present a service classifying user preferred news groups among various news groups by the use of Kohonen network. We first extract candidate terms from example documents and then choose a number of representative keywords to be used in Kohonen network from them through fuzzy inference. From the observation of training patterns, we could find the sparsity problem that lots of keywords in training patterns are empty. Thus, a new method to train neural network through reduction of unnecessary dimensions by the statistical coefficient of determination is proposed in this paper. Experimental results show that the proposed method is superior to the method using every dimension in terms of cluster overlap defined by using within cluster distance and between cluster distance.

Serological analysis of a recombinant cDNA expression library was carried out and a number of auto-antibodies were found that were highly prevalent in the sera of such patients.

A fuzzy traffic controller with the control rules and the membership functions generated by using genetic algorithm is presented for crossroad management. Conventional fuzzy traffic controllers use control rules and membership functions generated by human operators. However, this approach does not guarantee the optimal solution to design fuzzy control system. Genetic algorithm is a good solution for an optimal problem requiring domain-specific knowledge that is often heuristic. In this paper, we use genetic algorithms to automatically determine the near optimal rules and their membership functions of fuzzy traffic controllers. The effectiveness of our method was shown through simulation of crossroad network.