The regional integrated energy system (RIES) is an important place for development such as multi-energy complementarities and Internet, RIES has application value realizing sustainable building a lower-carbon society, the dissipation of renewable stabilization load fluctuations have brought challenges to its optimal operation. Integrated demand response (IDR) detailedly described by price-based alternative response. Establish day-ahead intraday optimization scheduling model considering side...

The enzyme immobilization has been adopted to enhance the activity and stability of enzymes in non-aqueous enzymatic catalysis. However, activation stabilization mechanism poorly understood on experiments. Thus, we used molecular dynamics simulation study adsorption α-chymotrypsin (α-ChT) carbon nanotube (CNT) aqueous solution heptane media. results indicate that α-ChT stronger affinity with CNT than media, as confirmed by more atoms, larger contact area higher binding free energies....

The traffic scheduling mechanism in Time-Sensitive Networking (TSN) is the key to guaranteeing deterministic transmission of traffic. However, when time-sensitive and non-time-sensitive are transmitted together, conflicts easy occur TSN. As a result, will be disrupted, may preempted for long time. To optimize performance multi-type hybrid TSN, we firstly establish collaborative framework that incorporates Time Aware Shaping (TAS) Cyclic Queuing Forwarding (CQF) mechanisms. We then design...

We study an assortment optimization problem under a multi-purchase choice model in which customers choose bundle of up to one product from each two categories. Different bundles have different utilities and the price is summation prices products it. For uncapacitated setting where any set can be offered, we prove that this strongly NP-hard. show adjusted-revenue-ordered provides 1/2-approximation. Furthermore, develop approximation framework based on linear programming relaxation obtain...

We present a near diffraction-limited 1 064-nm Nd:YAG rod laser with output power of 82.3 W (M 2 ≈1.38).The fluctuation over two hours is better than ±1.1%.Pulsed an average 66.6 and pulse width 46 ns are achieved when the Q-switched at repetition rate 10 kHz.The short duration stems from cavity as well high-gain modules.Using intracavity-frequency-doubling, 35.0-W 532-nm green ≈1.32) 43 ns.

Change regulation of the physical properties fluid is key to accurately predicting multiphase flow in production wellbore CO2 flooding reservoirs. Given characteristics significant changes pressure, temperature, and content whole wells reservoirs, this paper systematically studied change rules volume factor, viscosity, density, solubility well for pressure 5~30 MPa, temperature 20~120 °C, 10~90% through single degassing PVT experiments. According experimental results, factor crude oil...

The concept of digital twin intends to establish a real-time mapping between physical and virtual spaces, which individuals can use for monitoring remote control product operation. This paper presents web-based truss gantry crane system. It elucidates the gradual design process system analyzing structural performance heavy equipment. construction six-layer architectural framework involves an analysis its components motion relationships. Sensors perform data collection provide support space...

Barrier coverage is a critical issue in Wireless Sensor Networks (WSNs) for various battlefield and homeland security applications. In this paper, we address the problem of how to efficiently heal holes hybrid by relocating mobile nodes, propose hole recovery strategy called Minimal Patching Healing Strategy (MPBHS). our strategy, definition (MPB) proposed, which can be healed least number nodes. Under definition, divided into two steps: first finding out MPB among all possible barriers;...

Short-term load forecasting plays a key role in the safe dispatching and economic operation of power system.The lease square support vector machine (LSSVM) has least great potential problems, particularly by employing an appropriate algorithm to determine values its two parameters.In order improve LSSVM prediction accuracy, this paper proposes based on Variational mode decomposition(VMD) electric model that uses artificial fish swarm-shuffled frog leaping parameters.The historical data such...

Distance learning system has become a significant teaching means; this technology is becoming mature and penetrating in practice of each subject. This study researches design application tablet computer control distance education platform for new professional peasants. The designed paper consists client, computer, projector wireless access point. Computer client the center. Tablet connected with via project client. Operation on sends to form message. Analysis execution conducted at operate...

Dynamic Spectrum Access (DSA) network grows rapidly in recent years. It is proposed to solve the problem of reasonable utilization wireless spectrum resources. DSA a new sharing paradigm which takes advantage holes ease shortage and improve utilization. However, due frequent switch, performance TCP will degrade greatly network, thus channel unutilized. To tackle with this high throughput performance, paper proposes protocol called WSP based on assumption that there be Wide Stationary Process...

Abstract The monitoring of mechanical equipment systems contains an increasing number complex content, expanding from traditional time and frequency information to three-dimensional data the time, space information, even higher-dimensional containing subjects , experimental conditions. For high-dimensional analysis, decomposition methods such as Hilbert Transform, Fast Fourier Transformation Gabor transformation not only lose integrity data, but also increase amount calculation introduce a...

We consider a generic Markov decision process (MDP) with two controls: one control taking effect immediately and the other whose is delayed by positive lead time. Computing optimal policy of this MDP difficult when time large. Interestingly, as grows, would naturally expect that action only weakly depends on current state, intuitively decoupling from state could provide good controls. The purpose paper to substantiate intuition for some MDPs establishing asymptotic optimality semi-open-loop...

Discrete convexity, in particular, L-natural-convexity and M-natural-convexity, provides a critical opening to attack several classical problems inventory theory, as well many other operations that arise from more recent practices, for instance, appointment scheduling bike-sharing. As powerful framework, discrete convex analysis is becoming increasingly popular the literature. This review will survey landscape of approach. We start by introducing key concepts, namely, M-natural-convexity...

We study an assortment optimization problem under a multi-purchase choice model in which customers choose bundle of up to one product from each two categories. Different bundles have different utilities and the price is summation prices products it. For uncapacitated setting where any set can be offered, we prove that this strongly NP-hard. show adjusted-revenue-ordered provides 1/2-approximation. Furthermore, develop approximation framework based on linear programming relaxation obtain...

The main factors limiting the development of wire-based additive manufacturing (w-AM) are deposition process instability and deviation caused by side feed. In this paper, device tuning accuracy is introduced into wire-arc model for first time, a stable in micro-plasma arc directional energy (mPA-DED) was established, wire from contacting (mPA) column to conducting metal transfer carefully analyzed. A sensitivity coefficient describing link between size adjustment precision mPA-DED proposed....

We consider a joint pricing and inventory control problem where can be adjusted more frequently, such as every period, than ordering decisions, which are made epoch that consists of multiple periods. This is motivated by many examples, especially for online retailers, price indeed much easier to change level, because changing the latter subject logistic capacity constraints. In this setting, retailer determines level at beginning each solves dynamic within with no further replenishment...