It has been suggested that the human mirror neuron system (MNS) plays a critical role in action observation and imitation. However, the transformation of perspective between the observed (allocentric) and the imitated...
详细信息
ISBN:
(纸本)9781424441198
It has been suggested that the human mirror neuron system (MNS) plays a critical role in action observation and imitation. However, the transformation of perspective between the observed (allocentric) and the imitated (egocentric) actions has received little attention. We expand a previously proposed biologically plausible MNS model by incorporating general spatial transformation capabilities that are assumed to be encoded by the intraparietal sulcus (IPS) and the superior parietal lobule (SPL) as well as investigating their interactions with the inferior frontal gyrus and the inferior parietal lobule. The results reveal that the IPS/SPL could process the frame of reference and the viewpoint transformations, and provide invariant visual representations for the temporo-parieto-frontal circuit. This allows the imitator to imitate the action performed by a demonstrator under various perspectives while replicating results from the literatures. Our results confirm and extend the importance of perspective transformation processing during action observation and imitation.
This study proposes a long-short term memory (LSTM)-based approach to text emotion recognition based on semantic word vector and emotional word vector of the input text. For each word in an input text, the semantic wo...
详细信息
ISBN:
(纸本)9781538653128
This study proposes a long-short term memory (LSTM)-based approach to text emotion recognition based on semantic word vector and emotional word vector of the input text. For each word in an input text, the semantic word vector is extracted from the word 2vec model. Besides, each lexical word is projected to all the emotional words defined in an affective lexicon to derive an emotional word vector. An autoencoder is then adopted to obtain the bottleneck features from the emotional word vector for dimensionality reduction. The autoencoder bottleneck features are then concatenated with the features in the semantic word vector to form the final textual features for emotion recognition. Finally, given the textual feature sequence of the entire sentence, the LSTM is used for emotion recognition by modeling the contextual emotion evolution of the input text. For evaluation, the NLPCC-MHMC-TE database containing seven emotion categories: anger, boredom, disgust, anxiety, happiness, sadness, and surprise was constructed and used. Five-fold cross-validation was employed to evaluate the performance of the proposed method. Experimental results show that the proposed LSTM-based method achieved a recognition accuracy of 70.66%, improving 5.33% compared with the CNN-based method. Besides, the proposed method based on integration of the semantic word vector and emotional word vector of the input text outperformed that using the individual feature vector.
This article presents a method to assess whether folksonomies are useful shared conceptualizations for conceptual modeling. A method based on the tripartite model (actors, concepts and instances) induces from social a...
This article presents a method to assess whether folksonomies are useful shared conceptualizations for conceptual modeling. A method based on the tripartite model (actors, concepts and instances) induces from social applications a folksonomy related to a domain of knowledge. The hypothesis of this paper is that if folksonomies are shared conceptualizations, then using them in conceptual modeling should reduce the number of divergences between actors when they elicit terms to be part of a model (a concept map in this article). A controlled experiment of conceptual modeling was performed with experimental groups who received tags inducted from data of categorizations from Delicious and control groups who received terms extracted from Web pages categorized on Delicious. The results show that the experimental groups obtained less divergences (on average) in elicitation of terms when compared to control groups.
A jamming game is considered. A transmitter encodes the data, in a product code (PC), and transmits it in a slow frequency-hopped spread-spectrum (FHSS) system. A hostile jammer attempts to block correct packet recept...
详细信息
A jamming game is considered. A transmitter encodes the data, in a product code (PC), and transmits it in a slow frequency-hopped spread-spectrum (FHSS) system. A hostile jammer attempts to block correct packet reception by adjusting the fraction of the total band in which it distributes the jam power, /spl rho/. Two cases are considered. In the first case, the transmitter declares his strategy and the jammer uses this information to select his best jamming fraction. In the second case, the jammer declares his strategy first and the transmitter uses this information to select his best rates. Results are obtained using asymptotic analysis of a product code using singly extended Reed-Solomon (RS) row and column codes whose size grows large. This asymptotic analysis leads to good choices of the row and column rates for the PC in both cases.
Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. M...
详细信息
Generative adversarial network (GAN) has achieved impressive success on cross-domain generation, but it faces difficulty in cross-modal generation due to the lack of a common distribution between heterogeneous data. Most existing methods of conditional based cross-modal GANs adopt the strategy of one-directional transfer and have achieved preliminary success on text-to-image transfer. Instead of learning the transfer between different modalities, we aim to learn a synchronous latent space representing the cross-modal common concept. A novel network component named synchronizer is proposed in this work to judge whether the paired data is synchronous/corresponding or not, which can constrain the latent space of generators in the GANs. Our GAN model, named as SyncGAN, can successfully generate synchronous data (e.g., a pair of image and sound) from identical random noise. For transforming data from one modality to another, we recover the latent code by inverting the mappings of a generator and use it to generate data of different modality. In addition, the proposed model can achieve semi-supervised learning, which makes our model more flexible for practical applications.
Recently, Wang et al. proposed a computationally transferable authenticated key agreement protocol for smart healthcare by adopting the certificateless public-key cryptography. They claimed that their protocol could e...
Recently, Wang et al. proposed a computationally transferable authenticated key agreement protocol for smart healthcare by adopting the certificateless public-key cryptography. They claimed that their protocol could ensure privacy, resist various attacks, and possess superior properties. After analyzing their protocol, we find that it suffers from some flaws. Firstly, user privacy is not ensured as claimed. Secondly, some statements are inaccurate or missing. Thirdly, it cannot resist DoS attack. In this paper, the details of how these flaws threaten Wang et al.’s protocol are shown.
Low band gap germanium:silicon (Ge:Si) solar cells for operation with a silicon solar cell in a multi-junction concentrator system was designed, fabricated, characterized and analyzed. First principle simulations show...
详细信息
Low band gap germanium:silicon (Ge:Si) solar cells for operation with a silicon solar cell in a multi-junction concentrator system was designed, fabricated, characterized and analyzed. First principle simulations show that an efficiency of 2.3% can be achieved for 88% Ge concentration Ge:Si solar cells below Si at 30 suns. Through solving critical shunting and open circuit voltage (Voc) problems, an efficiency of 0.79% with a Voc of 350 mV and a fill factor (FF) of 66% was achieved for our third generation Ge:Si solar cells below Si at 30 suns.
Core-shell CdSe-ZnS quantum dots have been one of the most actively researched nanomaterials in the past decade. In this paper we introduce thiophene thiol (TPT) as a capping ligand on the CdSe-ZnS heterostructure. Th...
详细信息
ISBN:
(纸本)9781424458547
Core-shell CdSe-ZnS quantum dots have been one of the most actively researched nanomaterials in the past decade. In this paper we introduce thiophene thiol (TPT) as a capping ligand on the CdSe-ZnS heterostructure. These conjugated ligands allow for improved carrier transport in comparison to their saturated, long chain hydrocarbon counterparts. By demonstrating a robust and inexpensive method to deposit close packed monolayers of these nanostructures, we hope to open the door for a new family of low cost inorganic devices employing them.
SWEET routing protocol is one of the many protocols developed for cluster formation and routing in wireless sensor networks. The SWEET protocol is a decentralized clustering protocol, it uses timers and interim update...
详细信息
SWEET routing protocol is one of the many protocols developed for cluster formation and routing in wireless sensor networks. The SWEET protocol is a decentralized clustering protocol, it uses timers and interim updated cluster head estimation probability. This paper focus on the details of the initialization waiting time, sleeping mode and base station in order to increase the life cycle of the network. The initial waiting time's resizing procedure is carried by a weighting factor which is computed from the delay slot time and delay frame time. Other improvements are the introduction of sleeping mode energy saving technique. The last contribution is through the enabled base station's ability to become a cluster head. A simulation based performance evaluation of our proposed EN-SWEET protocol shows superiority in energy efficiency.
Reduction of active power losses in distribution networks is an important issue, which is usually addressed through a separate, sequential, or simultaneous feeder reconfiguration (FR), volt-var regulation (e.g., capac...
Reduction of active power losses in distribution networks is an important issue, which is usually addressed through a separate, sequential, or simultaneous feeder reconfiguration (FR), volt-var regulation (e.g., capacitor placement, CP), and control of distributed energy resources (DERs). However, finding optimal solution for a coordinated FR, CP, and DER control requires significant computational efforts, which are additionally increased when variations in loading conditions are considered. Therefore, load variations are usually neglected in related analysis, although changes in power flows influence changes in network losses and, consequently, optimal controls for FR, CP and DERs. This paper presents the analysis of both benefits and disadvantages of including not only the peak demands, but also different loading conditions for a coordinated implementation of FR, CP and DER controls for the reduction of losses. The analysis is illustrated on the several distribution test networks and using representative load patterns from the existing literature. The obtained results suggest that the inclusion of load variations requires significantly longer computational times, but in some cases affects optimal solutions for FR, CP and DER controls (their numbers, locations and settings).
暂无评论