Targeted poverty alleviation is a proposed concept in comparison with extensive poverty alleviation. It mainly aims at the poverty situation of different rural areas and farmers in China and adopts scientific and reasonable methods to carry out targeted assistance policies. It executes accurate management for the targeted poverty alleviation. This way for poverty alleviation is more precise. In the research of heterogenous multi-dimension targeted poverty alleviation data scheduling, the multi-dimension processing is very important. In this paper, we propose an intuitionistic fuzzy set similarity degree based on modified genetic algorithm for solving heterogenous multi-dimension targeted poverty alleviation data scheduling problem. In the proposed algorithm, the reference solution and Pareto solution are mapped to the reference solution intuitive fuzzy set and Pareto solution intuitive fuzzy set respectively. The intuitionistic fuzzy similarity between two sets is calculated to judge the quality of Pareto solution. The similarity value of intuitionistic fuzzy sets is used to guide the evolution of multi--dimension genetic algorithm. The results show that the proposed algorithm can effectively solve the problem of heterogenous multi-dimension targeted poverty alleviation data scheduling, especially, in large scale problems.

With the proliferation of mobile devices and smart cameras, detecting anomalies and predicting their mobility are critical for enhancing safety in ubiquitous computing systems. Due to data privacy regulations and limited communication bandwidth, it is infeasible to collect, transmit, and store all data from mobile devices at a central location. To overcome this challenge, we propose FedADMP, a federated learning based joint Anomaly Detection and Mobility Prediction framework. FedADMP adaptively splits the training process between the server and clients to reduce computation loads on clients. To protect the privacy of user data, clients in FedADMP upload only intermediate model parameters to the cloud server. We also develop a differential privacy method to prevent the cloud server and external attackers from inferring private information during the model upload procedure. Extensive experiments using real-world datasets show that FedADMP consistently outperforms existing methods.

Real-world traffic flow parameters are fundamental for devising smart mobility solutions. Though numerous solutions (intrusive and non-intrusive sensors) have been proposed, however, these have serious limitations under heterogeneous and congested traffic conditions. To overcome these limitations, a low-cost real-time Internet-of-Video-Things solution has been proposed. The sensor node (fabricated using Raspberry Pi 3B, Pi cameral and power bank) has the capability to
stream 2 Mbps MJPEG video of 640x480 resolution and 20 frames per second (fps). The Camlytics traffic analysis software installed on a Dell desktop is employed for traffic flow characterization. The proposed solution was field-tested with vehicle detection rate of 85.3%. The novelty of the proposed system is that in addition to vehicle count, it has the capability to measure speed, density, time headway, time-space diagram and trajectories. Obtained results can be employed for road network planning, designing and management.

This research was conducted to identify amplification and attenuation that occur in the soft sediment layer. The softer a surface sediment layer, the greater the amplification value so that the amplitude of the propagating wave will be even greater. This causes the softer surface sediment layer, the value of the wave propagation quality factor is also greater. This data is processed using the HVSR method with 94 data points. The results of this study indicate that the amplification value has a linear relationship with the quality factor owned and inversely proportional to the attenuation.

Minerals which located below the surface of the groundwater require pumping activities to carry out the mining activities. The problem that has occurred so far is that the work front located lower than the portal causes the waters from groundwater seepage and underground mining equipment to be collected and pooled on the work front. This causes the work area to be flooded and causes the mining activities to be delayed up to 5 hours. The study of the mine drainage system is expected to evaluate the existing mine drainage system in the PT Bumi Suksesindo underground mine, including analysis of groundwater seepage, mine water discharge, sump volume, pump requirements and alternative pumping system networks. Based on several trial and error experiments, the groundwater inflow is 1,17 x 10-5 m3s-1 on average at each seepage’s location point. The recommendation to resolve the mine dewatering problems are an addition of a booster pump on sump 2 and sump 1, the dimensions of the sump has to be increased, add an airflow control valve to ensure that the source of air pressure is 3 bar, and a replacement of pump impeller to MT 231 coded impellers.

Referring to accident data at the Production System Laboratory (PSL) indicating that most of the accident in the practice of manufacturing process occurs when operating the turning machine. These accident happened as a result of cumulative obstacles that faced by students when operating turning machine. This obstacles start from insufficient time for training that was followed before practice of manufacturing process in laboratory, to give student an experience before practice of manufacturing process. To help student encountered with their obstacles this research offered the use of virtual reality as a learning process for turning machine before they use the real machine. The user centered design (UCD) method used in designing applications especially phase 1 to 3.

Intercalation between carbonate and volcaniclastic rock are abundance in Java Island especially at southern part. Although this intercalation has long been recognized, very few studies into the depositional models of the intercalation have been undertaken. An ideal site for such a study of an ancient example is Sentolo Formation of Kulonprogo area in south central Java. The aim of this research is to understand the depositional models of Sentolo Formation. This research based of petrography, and stratigraphic analyze from many stratigraphic section of Sentolo Formation outcrop. The stratigraphic section have represented of distribution at northern, middle, eastern, and southern part of Sentolo Formation in Yogyakarta area. Result of this study is three possibility facies models of Sentolo Formation paleoenvironment. The models have distributed at northern, middle-western, and southeastern part. High volcanic activity have founded at northern part, even in middle to the western part are fine fraction of volcanic rocks, while no volcanic rocks at southeastern part. Result of this research is also possibility a reef system at Sentolo Formation separated with Jonggrangan Formation. The old concept said that origin of Sentolo Formation was connected with Jonggrangan Formation it must be review again, it caused no stratigraphic contact between Jonggrangan Formation and Sentolo Formation

Computer-based control processes in the industry have been widely used to replace conventional control processes so that processes in the industry are more optimal. The technology developed in the industry requires practicality in carrying out the control system. This research is focused on the process of mixing ingredients into other materials in two or more phases. The implementation of the control system in the mixing process functions as a regulator of the mixing process that requires special treatment such as setting the stirring speed, the amount of scale of material to be mixed in the tank and the length of the stirring process. In this study also carried out monitoring systems of various conditions such as temperature and height of substances in the mixing tank. The research was conducted using the electronic controller unit of embedded hardware device NI myRIO 1900, and using the function block diagram programming language in LabVIEW software as well as the HMI (Human Machine Interface) design software.The results of a research experiment conducted from a miniature mixing plant system are that the system can work well in accordance with the design. The system can run in accordance with the set point input values that can be entered by the operator through the HMI include, the ratio of material mixture ratio, heater heater set, motor timer set, speed, and rotational direction. Wireless communication that can be reached a maximum of 40 meters.

A growing demand for electricity, along with a scarcity of available producing capacity, has fueled the growth of Renewable Distributed Generation (RDG), which includes wind, solar, and hydroelectric sources of energy. Abstract: The location of DG sources has a significant effect on the amount of system losses that occur in the distribution network. This study discusses the identification of the most suitable placement for the IEEE 30 Bus Test System to reduce power loss while simultaneously improving voltage deviation. It is necessary to utilize Sensitivity Analysis to determine the placement of DGs in the network, while Particle Swarm Optimization is used as the optimization method to determine the size of DGs in the network in order to minimize the power losses of the system. The findings demonstrate that the installation of three DGs is beneficial in minimizing power loss and voltage variation.

Because of technology, the retail environment has shifted from being mostly offline to being primarily online to now being both online and offline, or omni-channel. Using an omni-channel approach, retailers can provide customers with a shopping experience that is seamless across all channels. By allowing real-time engagement, retailers may enable customers to interact online or offline across all channels at any time and from any location. A generation of young people, the millennials constitute 50% of the world's population in 2017, and their buying power makes them an important target for the consumer goods and services sectors. Millennials, on the other hand, are characterized by their status as users and consumers of technology. The purpose of this article is to investigate the variables that influence online or offline contact throughout the buying experience in the adoption of omni-channel shopping, as influenced by the behavior of millennials. This study was evaluated using a sample of data gathered from a survey of the millennial generation, which was conducted in the United Kingdom. Millennial purchasing behavior and omni-channel adoption are both regulated by shopping experience, according to the findings, which suggest that the main drivers of omni-channel interaction have a substantial effect on shopping experience, which is moderated by shopping experience.