Smart city evaluation is a critical component in smart construction and plays an important role guiding promoting development of cities. Currently, existing research applications are still the exploration stage. They mainly focus on one single aspect, use indicators with distinct regional characteristics poor extensibility, cannot be well-integrated common shareable frameworks; these limitations have led to biased results. Based framework, this paper proposes well-integrated, universal,...

Motivated by rising concerns regarding global warming and traffic congestion effects, we study the time-dependent green vehicle routing problem with time windows (TDGVRPTW), aiming to minimize carbon emissions. The TDGVRPTW is a variant of (TDVRP) in which, addition window constraints, minimization emissions requires determination optimal departure times for vehicles, from both depot customer location(s). Accordingly, first exact method based on branch-cut-and-price (BCP) algorithm proposed...

Motivated by the worldwide development of shared mobility, we investigate a vehicle routing problem with time windows and deadlines called first-mile ridesharing (FMRSP). The FMRSP involves fleet vehicles, each servicing customers within specific windows. generalizes well-known (VRPTW), additionally imposing that route arrives at destination before earliest deadline associated set served route. is also related to VRPTW release dates, where in addition window constraints, date customer...

Federated learning (FL) is a privacy-preserving distributed paradigm relying on but without directly accessing privately owned datasets. However, the ''available not visible'' nature of training data in FL leads to security risks. In particular, ''not local can easily become best targets poisoning attacks. Although existing methods may successfully attack systems, they mostly lead significant statistical changes and thus be hard detect. this paper, we propose VagueGAN, new model that...

Computed tomography (CT) images play an important role due to effectiveness and accessibility, however, motion artifacts may obscure or simulate pathology dramatically degrade the diagnosis accuracy. In recent years, convolutional neural networks (CNNs) have achieved state-of-the-art performance in medical imaging powerful learning ability with help of advanced hardware technology. Unfortunately, CNNs significant overhead on memory usage computational resources are labeled 'black-box' by...

Time Dependent Vehicle Routing Problem (TDVRP) is to study the problem of vehicle routing optimization in dynamic network with fluctuant link travel time. Route construction algorithms are fast and flexible, which have been deeply studied traditional (VRP). But route couldn't be directly applied TDVRP. In this paper, we gave a mixed-integer programming model for TDVRP, extended We compared these Nearest Neighbor algorithm was proposed by Malandraki (1992), then analyzed how characteristics...

As a distributed machine learning paradigm, federated (FL) is collaboratively carried out on privately owned datasets but without direct data access. Although the original intention to allay privacy concerns, "available not visible" in FL potentially brings new security threats, particularly poisoning attacks that target such "not local data. Initial attempts have been made conduct against systems, cannot be fully successful due their high chance of causing statistical anomalies. To unleash...

A new technique for evaluating a microcalorimeter is presented in this paper. Its measurement principle to change thermistor mounts mismatch status by changing the reference resistance of its power meter bridge, measure different so that effective efficiency mount measured can be used as transfer value. This will shorten time and simplify assembling procedure, while not reducing evaluation accuracy. experimental result are reported

Urban freeway congestion has become one of the most major and costly problems in metropolitan areas. Consequently, there is a need to study properties traffic flow, so that new techniques for forecasting mitigating can be developed. In this paper, investigations great number measurements flow on Shanghai North-South Freeway show are some macroscopic urban flow. We spatial-temporal features parameter normal get conclusions relations between parameters bottleneck consistent with traditional...

Microwave power standard adopts calorimetry techniques to calibrate the effective efficiency of thermistor mount. Correction factor is key calibration mount.The microwave mainly adopted short-circuited mode determine correction so far, but it must consider effects absorbed by short plate thermopile, method that how get dissipated in calculating and its uncertainty. This paper presents a new based on electromagnetic field theory short-circuit dissipation power. A detailed analysis superiority...

Today's IoT platforms provide rich functionalities by integrating with popular third-party services. Due to the complexity, it is critical understand whether have properly managed authorisation in cross-cloud environments. In this study, authors report first systematic study on management of integration by: (1) presenting two attacks that leak control permissions device services; (2) conducting a measurement over 19 real-world and three major Results show eight are vulnerable threat. To...

Retracted.

As the important part of enterprise technology innovation or research and development strategy, patent strategy has already became an which can tackle competition intensify competitive advantages. Under new normal economy, Chinese enterprises have a significant impact in international competitions. knowledge economy background, intellectual property management become priority task management. This paper analyses existing portfolio from angles life cycle, alliance quantity. Moreover, proposed...

China is characterized by vast territory and wider distribution of strong wind easy-happening areas (typhoon, tornado squall line wind).Meteorological environment conditions are complex harsh in power transmission corridor passage (especially alpine regions).Safe operation lines threatened severely natural disaster.Traditional technology can't meet the requirement grid rapid development on anti-disaster ability.Large-area tower collapse, cable breakage other catastrophic disaster caused...

Picking up and delivering customers to airports (PDCA) is a new service provided in China. The multi-trip mode of PDCA (MTM-PDCA) promising measure reduce operation costs. To obtain the exact solution, we propose novel modelling approach including two stages. In first stage, all feasible trips each subset customer point set are produced, then local optimum can be obtained easily. Subsequently, using establish trip-oriented set-partitioning (TO-SP) model formulate MTM-PDCA. MTM-PDCA based on...