In-home healthcare services based on the Internet-of-Things (IoT) have great business potential; however, a comprehensive platform is still missing. In this paper, an intelligent home-based platform, iHome Health-IoT, proposed and implemented. particular, involves open-platform-based medicine box (iMedBox) with enhanced connectivity interchangeability for integration of devices services; pharmaceutical packaging (iMedPack) communication capability enabled by passive radio-frequency...

This paper designs a robust active queue management (AQM) controller for IP routers based on the mu-analysis. Specifically, we synthesize by modeling uncertainty of TCP/AQM system in form an weight, and approximating mu-optimal control problem with H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin </sub> S/T/U MSP (Mixed Sensitivity Problem). We also analyze NP (Nominal Performance), RS (Robust Stability) RP Performance)

Language discrepancy is inherent and be part of human languages. Thereby, the same sentiment would expressed in different patterns across Unfortunately, language overlooked by existing works cross-lingual analysis. How to accommodate for better analysis still an open question. In this paper, we aim model expressions as intrinsic bilingual polarity correlations (IBPCs) Specifically, given a document source its translated counterpart, firstly devise representation learning phase extract...

A complete browser-based software is need to develop a separate complicated script or some scripts with existing automation testing tools. The paper proposed regression test framework implement without development during the development. form, data and control spreadsheet should be defined by developer. provided series of function interface accomplish execution. definition easy maintain in novel framework. In test, testers merely modify related spreadsheet. detailed case given used support...

Link prediction is an important way to complete knowledge graphs (KGs), while embedding-based methods, effective for link in KGs, perform poorly on relations that only have a few associative triples. In this work, we propose Meta Relational Learning (MetaR) framework do the common but challenging few-shot namely predicting new triples about relation by observing We solve focusing transferring relation-specific meta information make model learn most and faster, corresponding gradient...

5G mobile communication network will be based on multi-domain virtual network. Due to a huge amount of underlying information, the ordinary single domain mapping program cause lot transmission overhead and computing overhead. At same time, different infrastructures providers out consideration commercial interests are reluctant disclose specific topological information. Therefore, resource quotation, two-step cross-domain embedding strategy is proposed dynamically manage resources in each...

Boosting of the ensemble learning model has made great progress, but most methods are single mode. For this reason, based on simple multiclass enhancement framework that uses local similarity as a weak learner, it is extended to multimodal Boosting. First, loss function used find basic loss, and logarithmic data points binarized. Then, we optimal corresponding loss. Compared with smaller one best so far. Second, two calculated, then calculated by points. Finally, text image retrieved from...

This paper revisits the simple pole placement technique in classical control theory, and exploits this to propose a controller for active queue management (AQM) IP routers. Our self-tuning proportional-plus-integral based on (ST-PI-PP controller) can assign proper intervals of damping ratio /spl xi/ undamped natural frequency omega//sub n/ guarantee system stability, achieve good AQM performance thereby make adapt significant load changes very well. We verify effectiveness via OPNET...

Cloud platform has a strong computing power and storage resources, effective management of these resources become problem to be solved in the field cloud computing. In order effectively achieve dynamic changeable autonomous heterogeneous resource management, this paper presents multi-agent system model, make full use advantages system, efficient management.

In this paper we propose a MERA inspired ternary unitary circuit feature extraction method based on Quantum Convolutional Neural Network(QCNN) in the TensorFlow quantum framework for binary image classification. The data is properly downscaled with circuits before fed into QCNNs state preparation, convolution and pooling. High or appropriate entangled corresponds to high separated weight function. When entanglement reduced, classification result can then be directly obtained from qubit. We...

This paper proposes an AQM controller design procedure for IP routers using the recently developed H/sub /spl infin// optimal control theory. We apply loop-shaping technique to solve S/U Mixed Sensitivity Problem (MSP) in design. Different weight functions and their impacts on system performance are evaluated discussed. Extensive OPNET simulations performed verify effectiveness of our designed controller.

This paper studied a test framework for business workflow software system. Based on the existing automated testing technology, novel functional is proposed. The new provided sepa- rate description definition technology different script information based data file. execution could be supported to consid- er specific complicated under framework. automa- tion used applications and proved effective.

Fuzzy clustering algorithms can be roughly categorized into two main groups: C-Means (FCM) based methods and mixture model methods. However, for almost all existing FCM methods, how to automatically selecting proper membership degree hyper-parameter values remains a challenging unsolved problem. Mixture while circumventing the difficulty of manually adjusting hyper-parameters inherent in often have preference specific distributions, such as Gaussian distribution. In this paper, we propose...

We focus on improving the visual understanding capability for boosting vision-language models. propose \textbf{Arcana}, a multiModal language model, which introduces two crucial techniques. First, we present Multimodal LoRA (MM-LoRA), module designed to enhance decoder. Unlike traditional language-driven decoders, MM-LoRA consists of parallel LoRAs -- one vision and each with its own parameters. This disentangled parameters design allows more specialized learning in modality better...

This paper designs a robust AQM controller for IP routers based on the mu-analysis technique. Specifically, by modeling uncertainties of TCP/AQM system in terms uncertainty weight, we synthesize approximating mu-optimal control problem with H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> S/T/U mixed sensitivity (MSP). We also analyze NP (nominal performance), RS (robust stability) and RP performance) under synthesized using...

The complicated workflow is need to develop some complex scripts, which contains data and not easy modify in automation testing tools. paper proposed an automatic test framework fulfill requirements. should single file according the each requirement. defined executed object related data, drive by framework. A detail description design method introduced. application case given used with compared current only use native script. experiment detailed proved effective.

As we scale down to sub-65nm technologies, transistors and interconnects no longer act as predictable elements, but start acting statistical blocks due static dynamic variations. This invited paper first reviews some of the key variations that need be considered for any analysis. Also, details implementing models into compact modeling flow are discussed. Finally, one techniques used generating validating with silicon data

Sparse sensor networks have emerged in recent studies. Relaying data with the help of mobile elements seems an effective way to bridge gaps such networks. In this paper, we propose Grid-Based Mobile Element Scheduling (GBMES) approach that schedules a element (ME) periodically gather from partially connected network. The GBMES algorithm performs well on avoiding loss due buffer overflow nodes through reducing traveling delay ME, and transferring at each gathering point.

In order to solve the problem of optimal network coverage in wireless sensor area monitoring, artificial immune principle is introduced into coverage, and binary sensing model established. With target radius rate, cloning multi-objective algorithm used model. The results were compared genetic algorithms. experimental show that clone optimization more reasonable for location locations same monitoring area, avoiding redundancy, saving energy improving networks.

Sparse sensor networks have emerged in recent studies. Relaying data with the help of mobile elements seems an effective way to bridge gaps such networks. In this paper, we propose Grid-Based Mobile Element Scheduling (GBMES) approach that schedules a element (ME) periodically g

Knowledge Graphs (KGs), representing facts as triples, have been widely adopted in many applications. Reasoning tasks such link prediction and rule induction are important for the development of KGs. Graph Embeddings (KGEs) embedding entities relations a KG into continuous vector spaces, proposed these reasoning proven to be efficient robust. But plausibility feasibility applying deploying KGEs real-work applications has not well-explored. In this paper, we discuss report our experiences...

China is a multi-ethnic country, with the Han nationality population largest among 56 ethnic groups.Except nationality, of other groups much less, and can be referred to as minorities.During history development in our each has its unique sports culture.At present, deepening reform school physical education, teaching road socialism Chinese characteristics become focus colleges universities.And homogeneity phenomenon minorities during society more serious, therefore projects which have been...