Type 2 diabetes has a quite high incidence all over the world. For prevention and treatment of diabetes, early detection is demanded. Nowadays, data mining techniques are gaining increasing importance in medical diagnosis field by their classification capability. In this paper, hybrid prediction model proposed to help diabetes. model, K-means used for reduction with J48 decision tree as classifier classification. order get experimental result, we Pima Indians Diabetes Dataset from UCI...

The intrusion or attack in the computer network is one of most important issues Cloud environment. Due to enormous traffic, dynamic and incremental learning detection system (IDS) Cloud. In existing algorithms, k Nearest Neighbors (k-NN) has advantage dealing with huge multi-class nature data. However, k-NN algorithm poor performance classification. Support Vector Machine (SVM) an extraordinary classification method widely used field, while its training time increases sharply expansion...

In the animation industry, colorization of raw sketch images is a vitally important but very time-consuming task. This article focuses on providing novel solution that semiautomatically colorizes set using single colorized reference image. Our method able to provide coherent colors for regions have similar semantics those in An active-learning-based framework used match local regions, followed by mixed-integer quadratic programming (MIQP) which considers spatial contexts further refine...

Abstract Chronic diseases are one of the most severe health issues in world, due to their terrible clinical presentations such as long onset cycle, insidious symptoms, and various complications. Recently, machine learning has become a promising technique assist early diagnosis chronic diseases. However, existing works ignore problems feature hiding imbalanced class distribution disease datasets. In this paper, we present universal efficient diagnostic framework alleviate above two for...

Hot data identification plays a very important role in NAND flash memory because it can improve the efficiency of garbage collection and decrease degree wear leveling. Existing hot mechanisms have drawbacks terms their memory-space overhead true data. To address these problems, this paper proposes novel mechanism. This mechanism mainly consists kernel density estimation function. The is used to build function read write operations by monitoring them memory. That is, be for preliminary...

An efficient page replacement algorithm, which is named EPRA and customized for different kinds of NAND flash memories with cost ratios write operation to read operation, proposed in this paper. Each dirty victim candidate within the main memory divided into a fixed number pages. assigns weighted value each selects that has least as page. The elapsed time since most recent reference used classify pages hot cold ones. When selected, only writes back by separating from ones writing them free...

Abstract The cable accessories constitute a vulnerable element and are prone to failures in the operation of power transmission lines. To investigate changes electrical performance aging state high-voltage with different operating time, volume resistivity, breakdown electric field, dielectric constant, trap parameters insulation samples taken from retired were characterized. results indicate that there is certain correlation between macroscopic characteristics accessory its state. With...

In view of the actual problems existing in life-cycle health monitoring and diagnosis large complex equipment, machine-learning algorithm is applied to data mining equipment operation big data, expert knowledge base established, rules related fault are obtained, intelligent online remote condition realised. The system uses uncertain prediction method hybrid discover hierarchical association between feature faults, extraction faults. It effectively improved sensitivity, robustness, accuracy...

Coloring line art images based on the colors of reference is an important stage in animation production, which time-consuming and tedious. In this paper, we propose a deep architecture to automatically color videos with same style as given images. Our framework consists transform network temporal constraint network. The takes target well one or more input, generates corresponding To cope larger differences between image images, our utilizes non-local similarity matching determine region...

Adverse drug reactions (ADRs), defined as noxious and unintended responses to drugs at normal doses, cause hospitalization death all around the world, cost billions of dollars every year. Different techniques have been explored discover potential ADRs using materials from various sources, such spontaneous reporting systems, electronic medical records clinical related social media data. In this paper, we proposed a framework that combines sequential data mining method Prefix-Span classic...

For B-tree index structure which requires intensively fine-grained updates/modifications, directly implementing this over flash memory could lead to a significant number of write operations. In paper, write-optimized layer is proposed called WOBF works FTL in the memory. It not only reduce operations by buffering units buffer and handling them batch, but also eliminate pages used store reflecting modified node. The performance benefits are proven theoretically validated empirically.

<title>Abstract</title> <bold>Background</bold>: Peer support is a promising and significant way for people living with HIV (PLWH) to improve their health outcomes. Matching PLWH peer volunteers can effectively stimulate mobilize the function of in management. We developed online platform Aspark, which features precision matching volunteers. This protocol provides comprehensive overview randomized controlled trial design based on Aspark. <bold>Method</bold>: A parallel using block...

An association between thyroid function and multiple sclerosis (MS) has been reported in several observational studies, but the causal relationship them is still unclear. Thus, this study used a bidirectional Mendelian randomization (MR) to investigate associations MS. Bidirectional MR was explore (thyroid-stimulating hormone [TSH], free thyroxine [FT4], hyperthyroidism, hypothyroidism) Genome-wide (GWAS) data of MS were obtained from ThyroidOmics Consortium FinnGen Consortium, respectively....

By coupling unstable components, we demonstrate a novel approach that reduces static modulus to zero, eliminating causality-imposed absorption limitations in acoustics. Our heuristic model simulations achieve ultra-broadband over 99% for wavelengths greater than 132 times the absorber thickness. Theoretical analysis further proves this strategy can ideal blackbody behavior with infinitesimal These findings suggest fundamental physical laws no longer prevent true realization; only remaining...

Peer support is a promising and significant way for people living with HIV (PLWH) to improve their health outcomes. Matching PLWH peer volunteers can effectively stimulate mobilize the function of in management. We develop online platform Aspark, which features precision matching volunteers. This protocol provides comprehensive overview randomized controlled trial design based on Aspark. A parallel using block randomization will be conducted at Beijing YouAn Home Loving Care. The...

With the rapid development of cloud computing, virtualization technology has experienced considerable progress and application. Virtualization allows not only an application, but operating system hardware as well, to be encapsulated into a virtual machine (VM). Although been widely adopted in there are still many research issues fully addressed. Frequent occurrence VM outage incidents indicates that fault tolerant techniques needed achieve high availability computing infrastructure. This...