SEER-MCache: A Prefetchable Memory Object Caching System for IoT Real-Time Data Processing

Memory object caching systems, such as Memcached and Redis, have been proved to be a simple and high-efficient middleware for improving the performance of Internet of Things (IoT) devices querying the database in cloud. However, its performance guarantee is built on the fact that the target data, queried by the IoT device, will be accessed many times and hit in the caching system. Therefore, when database system is handling the unrepeated IoT queries, it usually presents the suboptimal performance, which greatly impairs the efficiency of real-time data processing on IoT devices. To improve this issue, we propose Seer-MCache, the memory object caching system with a smart prefetching (read-ahead) function, to fill up the caching system with the desired data before the intensive IoT queries arriving. Seer-MCache includes a set of rules to launch the specific behaviors of read-head. These rules are able to be customized according to the workload characteristics and system load. We implement a prototype system in Redis (caching layer) and MySQL server (database system). Extensive experiments are conducted to verify the effectiveness of Seer-MCache, the results show that Seer-MCache can improve the performance of read-intensive workload up to 61% (39.5% in average). Meanwhile, the cost of the read-ahead behavior is moderate and controllable

The Effect of Real Return Bond on Asset Allocation

FRM Project-Simon Fraser Universit

Existence and uniqueness of weak solutions to a parabolic nonlocal 1-Laplacian equation

We consider a class of parabolic nonlocal $1$-Laplacian equation \begin{align*} u_t+(-\Delta)^s_1u=f \quad \text{ in }\Omega\times(0,T]. \end{align*} By employing the Rothe time-discretization method, we establish the existence and uniqueness of weak solutions to the equation above. In particular, different from the previous results on the local case, we infer that the weak solution maintains $\frac{1}{2}$-H\"{o}lder continuity in time

Explaining the rise of 'human rights' in analyses of Sino-African relations

Popular perceptions of China and its global role are often shaped by two words: 'made in'. Yet this vision of China that focuses primarily on Beijing as a coming economic superpower is relatively new, and it is not that long ago that two other words tended to dominate debates on and discourses of China: 'human rights'. To be sure, real interest in human rights in China was never the only issue in other states' relations with China, nor consistently pursued throughout the years (Nathan, 1994). Nor did human rights totally subsequently disappear from the political agenda.1 Nevertheless, the rhetorical importance of human rights - perhaps best epitomised by the narrow defeat of resolutions condemning Chinese policy in 1995 at the Human Rights Council in Geneva - stands in stark contrast to the relative silence thereafter as the bottom line of most states' relations with Beijing took on ever greater economic dimensions

Uncommon linear systems of two equations

A system of linear equations $L$ is common over $\mathbb{F}_p$ if, as $n\to\infty$, any 2-coloring of $\mathbb{F}_p^n$ gives asymptotically at least as many monochromatic solutions to $L$ as a random 2-coloring. The notion of common linear systems is analogous to that of common graphs, i.e., graphs whose monochromatic density in 2-edge-coloring of cliques is asymptotically minimized by the random coloring. Saad and Wolf initiated a systematic study on identifying common linear systems, built upon the earlier work of Cameron-Cilleruelo-Serra. When $L$ is a single equation, Fox-Pham-Zhao gave a complete characterization of common linear equations. When $L$ consists of two equations, Kam\v{c}ev-Liebenau-Morrison showed that irredundant $2\times 4$ linear systems are always uncommon. In this work, (1) we determine commonness of all $2\times 5$ linear systems up to a small number of cases, and (2) we show that all $2\times k$ linear systems with $k$ even and girth (minimum number of nonzero coefficients of a nonzero equation spanned by the system) $k-1$ are uncommon, answering a question of Kam\v{c}ev-Liebenau-Morrison.Comment: 59 pages, 1 figur

Extract Executable Action Sequences from Natural Language Instructions Based on DQN for Medical Service Robots

The emergence and popularization of medical robots bring great convenience to doctors in treating patients. The core of medical robots is the interaction and cooperation between doctors and robots, so it is crucial to design a simple and stable human-robots interaction system for medical robots. Language is the most convenient way for people to communicate with each other, so in this paper, a DQN agent based on long-short term memory (LSTM) and attention mechanism is proposed to enable the robots to extract executable action sequences from doctors’ natural language instructions. For this, our agent should be able to complete two related tasks: 1) extracting action names from instructions. 2) extracting action arguments according to the extracted action names. We evaluate our agent on three datasets composed of texts with an average length of 49.95, 209.34, 417.17 words respectively. The results show that our agent can perform better than similar agents. And our agent has a better ability to handle long texts than previous works

A method for extracting an average scattering coefficient for room acoustic modeling

This work introduces frequency-dependent Average Scattering Coefficients (ASCs) to quantify the room-averaged degree of scattering per mean free path that results from sound wave interactions with objects, elements, and impedance discontinuities. In this work, the sound field of a room is decomposed into two components: (1) specular reflections from boundary surfaces and (2) non-specular component by the room's interiors and elements. Time-dependent coherence coefficients extracted from impulse responses of furnished rooms and their empty averages are used to derive ASCs, which can be used to facilitate the transition from a specular to a non-specular component in room acoustical modeling. This study extracts ASCs in rooms with varying amounts, distributions, and absorptions of interior elements, and different source and receiver positions based on a wave-based solver. Moreover, ASCs are measured in a real furnished room and utilized to reconstruct the measured sound field with a hybrid model. The specular component is calculated from the empty room case, while the non-specular component is modeled with a stochastic technique. Results from the hybrid models show strong agreement with ground truth regarding early decay time, reverberation time, the degree of scattering, and the level of diffuseness, demonstrating the potential of ASCs for high-frequency room acoustic modeling with reduced computational resources.</p

Video Fire Detection Algorithm using Multi-Feature Fusion

At present, the moving target detection and flame characteristics extraction almost become the most important parts in majority of video fire detection systems. Through the above two-part study, a new fire features detection method is presented in precise moving target area. That is, using the improved background difference method and flame features (such as the color and uniformity, Wavelet energy, stroboscopic and contour features) to detect fire. Experiments show that this method can improve theaccuracy and anti-interference ability of fire detection. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.334