The Internet of Things (IoT) is a network of physical objects that is equipped with computers, electronics, applications, sensors, and other devices. As the number of IoT devices and apps increases, a range of securit...
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Inverters or logic primitives that have complement attributes are essential to building a logical complement *** and NOR operations which have complement attributes are of high interest for complementary metal-oxidese...
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Inverters or logic primitives that have complement attributes are essential to building a logical complement *** and NOR operations which have complement attributes are of high interest for complementary metal-oxidesemiconductor(CMOS)technology,as they can be easily implemented in *** from the logic models used in standard CMOS,several nano-emerging technologies,such as quantum-dot cellular automata(QCA)and spin torque majority gates,are in favor of realizing a majority voter function but imposing difficulties in implementing *** studies pay lots of effort in optimizing the number of inverters in logic representations,whereas the mapping using primitives with complement attributes is not a major *** this paper,we establish a technology mapping method from logic representations to nanotechnology primitives by considering NAND-NOR-Inverter(NNI)and exclusive-NOR(XNOR)*** adopt XOR-Majority Graph(XMG)as a logic *** proposed mapping method is evaluated using the QCA *** results over EPFL benchmark suites show we achieve 11.77%and 30.13%reductions in the area and the number of inverters,respectively.
During the last decade, the use of social media has exploded. One of the internet’s most popular and accessible social media sites is Twitter in which people can have micro-blog to post their views on any subject, ca...
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This paper deals with a systematic assessment of the power system frequency dynamics under high penetration of converter-interfaced renewable energy sources (CI-RESs). Specifically, the concept of the virtual synchron...
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Conventional methods of monitoring exercise have mostly focused on individual athletes, neglecting the importance of simultaneously tracking several athletes participating in group workouts. Nowadays, with the advance...
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The article presents the results of measurements of power quality parameters in the system supplying railroad automation equipment and railroad traffic control devices, in the 3 kV DC traction system. Measurements wer...
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Sensors based on graphene materials have promising applications in the fields of biology,medicine and environment etc.A laser-scribed graphene provides a versatile,low-cost,and environmental friendly method for stress...
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Sensors based on graphene materials have promising applications in the fields of biology,medicine and environment etc.A laser-scribed graphene provides a versatile,low-cost,and environmental friendly method for stress,bio,gas,temperature,humidity and multifunctional integrated sensors.
Methods for estimating the remaining useful life of bearings are of great value in preventing them from failing. Because of this, different types of methods have been suggested. One of the most prominent is transfer l...
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Health is one of the most precious aspects of every person's life. Whether we're talking about a well-functioning heart, nervous system, respiratory system, or simply body weight, each of these branches contri...
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Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and ...
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Emotion Recognition in Conversations(ERC)is fundamental in creating emotionally ***-BasedNetwork(GBN)models have gained popularity in detecting conversational contexts for ERC ***,their limited ability to collect and acquire contextual information hinders their *** propose a Text Augmentation-based computational model for recognizing emotions using transformers(TA-MERT)to address *** proposed model uses the Multimodal Emotion Lines Dataset(MELD),which ensures a balanced representation for recognizing human *** used text augmentation techniques to producemore training data,improving the proposed model’s *** encoders train the deep neural network(DNN)model,especially Bidirectional Encoder(BE)representations that capture both forward and backward contextual *** integration improves the accuracy and robustness of the proposed ***,we present a method for balancing the training dataset by creating enhanced samples from the original *** balancing the dataset across all emotion categories,we can lessen the adverse effects of data imbalance on the accuracy of the proposed *** results on the MELD dataset show that TA-MERT outperforms earlier methods,achieving a weighted F1 score of 62.60%and an accuracy of 64.36%.Overall,the proposed TA-MERT model solves the GBN models’weaknesses in obtaining contextual data for ***-MERT model recognizes human emotions more accurately by employing text augmentation and transformer-based *** balanced dataset and the additional training samples also enhance its *** findings highlight the significance of transformer-based approaches for special emotion recognition in conversations.
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