Inthe case ofthe cloud, for 20,000 and 50,000 tags, periodic high-load intervals occur because of sharing thesystem and network with other users, which impacted both the sample processing rates shown in Table 4 and the respective latencies included in Table 3. As was previously mentioned in Section 4.1.3, the fact of sharing cloud resources may impact thesystem performance, but it is not the only factor that affects thesystem response delay. In order to illustrate such an impact, Figure 23 shows how bandwidth (as measured by iPerf , which is the speed rate at which a sample file is transferred) fluctuates during a time interval due to the multiple user interactions through the network and routing/switching devices that exist inthe network path that goes from the workshop where RFID readers are emulated until the data reaches the cloud. Although, for clarity, Figure 23 only represents a five-minute interval, bandwidth was measured with iPerf during more than six hours (almost a work shift). The results showed that bandwidth fluctuated constantly between 9.44 and 24.1 Mbps, although most ofthe time it remained stable within 17 and 20 Mbps (the overall average was 18.42 Mbps and the variance, 2.92 Mbps). Therefore, when designing a real-time positioning service like the one proposed in a cloud-based scenario, the entire path that the data will follow from the RFID readers until the cloud must be taken into account.
After the triumph ofthe lean production systems inthe 1970s, the outsourcing manufacturing phenomenon ofthe 1990s, and theautomation that took off inthe 2000s, the fourth major disruption in modern manufacturing is Industry 4.0. This industrial revolution can be defined as the next phase inthe digitalization ofthe sector , driven by several emerging technologies: the ubiquitous use of sensors, the stunning rise in data volume, the increasing computational power, and connectivity; the emergence of analytics, cloud computing and business-intelligence capabilities; new forms of human-machine interaction such as augmented-reality systems; and advances in transferring digital instructions to thephysical world, such as Cyber-Physical Systems (CPS), Internet of Things (IoT), robotics, and 3-D printing. Most of these technologies are mature and they have been present for some time. Although some of them are not yet ready for a broader application, many are now at a position where their greater reliability and cost-effectiveness are starting to be appealing for industrial applications.
For instance, inthe case of shipbuilding, the use of robots has been proposed for optimizing tasks like hull blasting  or welding –. Similarly, wireless sensor tech- nologies have been recently used for monitoring shipbuilding tasks. Most ofthe examples are focused on toxic gases detec- tion , or more specifically, the concentration of CO . An example of a safety management monitoring system using sensors and Radio Frequency IDentification (RFID) is pre- sented in . Thesystem, which was designed for a Korean shipyard, proposes a risk-free backward operation of forklift trucks, a driver safety management service, a Green Zone service, and an integrated monitoring service to prevent safety accidents during transportation of pipes for large vessels. A system with a similar purpose is introduced in , where the authors propose a LoRaWAN-based smart health, safety and environment systemfor shipbuilding and onshore plants. In such an article, the use of a LoRa relay is introduced to ensure a higher Signal-to-Noise Ratio (SNR) and improve the packet reception rate both for an underground scenario and confined spaces.
Because ofthe previously mentioned limitations, researchers have modified traditional AR architectures. The most common variation consists in adding local PCs to the network in order to increase computational capabilities. For instance, an interesting work is described in , where it is studied how to deploy AR systems in vehicles. Although the researchers state that it is easy to create centralized in-vehicle AR systems when relying on traditional Engine Control Units (ECUs), such an approach derives into an increasing response latency due to the multiple tasks to be carried out (e.g., image acquisition and display, protocol conversions, sensor value collection and processing). Moreover, the researchers indicate that the latest trends in car manufacturing regarding vehicle architecture design prefer to go for architectures divided into domains (for instance, there might be a domain forthe powertrain, one forthe transmission and another one for chassis control), among which an automotive AR system would distribute its functionality.
The article gives the feature ofthe development of professional mobility as the most effective forthe development ofthe Kazakhstan economy. The emerging post-industrial economy places high demands on the quality of education, on vocational training and on the development of professional skills. This means that their training level shall meet the requirements of modern information and service technology. The research topic is at the intersection of a number of topical problems of modern society, such as the education of workers, the all-round development of an individual, the scientific management of society. This paper aimed at considering the theoretical and methodological aspects of studying the problem of unemployment among graduated youth. all this speaks about the importance of determining the employment step of a young specialist to assess the impact of this process on society and people. The unemployment of young specialists, as we see, is a complex social and economic phenomenon, and its impact on the society’s life is quite contradictory. In this regard, it becomes more important to determine the optimality of employment of young professionals. In this article, the author also characterizes the development stages ofthe economy and tries to find a more efficient model forthe development ofthe Kazakhstan economy. This article especially highlights the issues of forming the image of young professionals, as they are the political and social face of our country.
Table (1) shows that exists some level of correlation between inputs and the residuals resulting from the regression ",#!..6( N4).( &-"?&$),*( ).( #,*C"?!+( J8( using the Brown-Forsythe test, where the variance ofthe residual error signal varies some input variables. Same table shows that about 1.3 MSE (Emm) is obtained when estimating articulators position; which, is less than the values reported in recent works like  and .
The performance of OrbitDB was measured in terms of response latency (i.e., how fast the inventory data were inserted into OrbitDB after being sent by a UAV ground station). Three scenarios (named A, B and C) were simulated in order to evaluate the effect of payload size and network delay, so small, medium and large payloads were sent to OrbitDB when it was running either inthe same Intranet (i.e., the same private local network) as the ground station, and when it was running in a remote cloud on the Internet (i.e., for simulating the connection with other stakeholders such as suppliers or external audits). As a reference, it can be indicated that the minimum/average/maximum round-trip times to the machine that ran OrbitDB inthe Intranet were 0.935/1.034/1.695 ms, while the same values forthe connection between the ground station and the remote cloud were 37.948/39.362/51.172 ms. Scenarios A, B and C take place inside an Intranet. Scenario A corresponds exactly to the environment tested in Section 5.2: the inventory data were only 13 Tag IDs, which derived into a very small payload (around 1 KB). Scenarios B and C simulate inventory data of 5000 (around 30 KB) and 10,000 (around 67 KB) items, respectively. Regarding Scenarios D, E and F, they also simulate 13, 5000 and 10,000 items, respectively, but the inventory data is sent from the local network to a remote OrbitDB instance that runs on a cloud on the Internet.
”Raw” results obtained are showed inthe following tables. Each table shows in detail (for each one ofthe different quantities oftasks used): the user time and thesystem time which the execution ofthe process took; the total time as the sum ofthe two previous ones; the time of each task; the time increasing (speedup) ofthe parallel solutions in respect to the sequential and the achieved Mflops. All time measures are expressed in seconds.
Once inthe warehouse, a series of order preparation operations are carried out. Among them, we can highlight its conformation with the different products required, its packaging, labeling and, subsequently, its location inthe warehouse's dispatch area. Finally, we find transport, which was part ofthe first definition of logistics. However, the need to reduce the delivery time by customers has added new aspects to this section. In addition to dealing purely with transport, logistics must optimize the loads of trucks, the study ofthe best routes and modes of transport and, finally, the best way to unload the goods inthe client.
“Sooner or later, I believe parametric design has to be explored through algorithmic thinking and that means that the designer needs to achieve a certain level of comfort with scripting languages. Once you learn the fundamentals of programming, the syntax becomes a far less difficult hurdle to overcome.” 7
An example of a multi-transceiver (X10, Serial, EIB, ZigBee, Bluetooth, DTMF, CAN and GSM/GPRS/UMTS) HAS is presented in . In such a paper, the authors detail an indoor ambient intelligence platform and an IP-based messaging protocol to communicate the home automation controller with the rest ofthe equipment. Baraka et al.  presented a low-cost HAS based on the use of a gateway consisting of an Arduino MEGA with Ethernet and ZigBee shields, and an Android tablet that acted as home controller. Thesystem uses ZigBee for connecting wireless sensor nodes and X10 for wired communications. An Arduino MEGA, an Ethernet shield and an Android phone are also used in , but, in this case, the sensors and actuators were connected directly to pins ofthe Arduino. CONDE  is another HAS whose objective is to improve energy efficiency in smart buildings. CONDE is decentralized and thus allows for reducing response time and power consumption with respect to traditional centralized systems. CONDE was tested by using MICAz motes, which were able to lower decision delay times and increase energy savings when evaluating lighting and Heating, Ventilation and Air-Conditioning (HVAC) systems.
The main goals of a grounding system are to guarantee the integrity of equipment and the continuity ofthe service under fault conditions and to safeguard that persons working or walking inthe surroundings ofthe grounded installation are not exposed to dangerous electrical shocks. Consequently, the apparent electrical resistance ofthe earthing system must be low enough to assure that fault currents dissipate mainly through the grounded electrode, while maximum potential differences between close points on the earth surface must be kept under certain tolerances (step, touch and mesh voltages) .
A Significant contribution to the development ofthe national archaeological base of GIS was made by scientists from the Department of security excavations ofthe Institute of archaeology. G. E. Afanasyeva promoted introduction of new methods in under the management of D.S. Korobov the initiative group "Archaeological and geographical information systems" (AGIS) was created. Works of D. S. Korobov archeology. within the framework ofthe AGIS project, an Electronic journal was created, where AGIS is demonstrated immediately positively proved itself. Works, possibilities of application of GIS- technologies for solving problems: collection of information about cultural and historical monuments, its processing, cartographic visualization (including inthe form of thematic maps), spatial modeling and cataloguing.
The Spanish Electrical Network (REE) is the owner ofthe entire high voltage electric energy transport network inthe Spanish territory; it is responsible for its expansion, maintenance and management. The high voltage electric lines located on the territory induce different affections on public and private property land. These affections may be of different types of occupation or easement and should be thoroughly identified on the pertinent documentation to be included into the execution project of these types of infrastructures. Every project is endorsed, approved and processed according to the responsible body corresponding to every particular case; 400 kV installations should be processed according to the requirements ofthe State Administration; 220 kV installations are handled complying with the requirements ofthe involved regional governments. This fact implies that the way the projects are presented are not homogeneous since requirements are variable inthe Communities and are continuously evolving. This changing situation concerning the requested documentation compels the REE to handle the project data in a structured, standardized way, integrating new processes within consolidated workflow.
innovations. This includes technologically new machinery, materials, counselling and services. Note that the elements of this environment are the nexus between the requirements ofthe productive environment and the potential capacities ofthe scientific environment. The agents from the technological and advanced services environment are any provider that brings novel or improved technological solutions, such as frit, glaze and colour providers, machinery providers and varied services providers (design, CAD/CAM, serigraphy, etc.), and diffuses them inthe sector. Those firms or service providers from the sector that offer advice inthe fields of design, computerization and new technologies, technological and market consultancy, etc. also belong to the technological and advanced services environment. Some ceramics firms (18% according to Fundación BANCAIXA, 1999) had their own internal design department, but most of buy designs for technical studies or obtain them from their providers of frits, glaze and colours or special pieces.
Abstract: Simulations of agent-based models developed for topics of learning and inductive reasoning in artificial intelligence, social behavior, decision making, etc., are progressively requiring higher power processes while they increase their participation as management and political decisions support. In this work we develop the implementation ofthe Minority Game Model for HPC platforms in order to analyze the performance of simulations related to contexts of agent-based models for large scales. We compare times to parallel and sequential processes for several instances and get the corresponding speedup. For this work we use the MPI system with a hardware configuration of Master-Worker (Slave) paradigm with a cluster of upto 10 processors as workers. In order to improve efficiency, we evaluate performances for several sizes of clusters varying the size ofthe instances ofthe problem and detect optimum configurations for some instances of simulation.
General consensus exists on the fact that, after the rise of Perón to the national government, there was a failed attempt to centralize the health systemin state hands. The creation ofthe Secretariat of Public Heath [Secretaría de Salud Pública] (a) in 1946, which depended on the vice-presidential office of Argentina, evidences this assertion. Firstly, establishing this secretariat as autonomous with respect to the Ministry of Home Affairs [Ministerio del Interior de la Nación] conferred a “ministerial status” to its bureaucratic decisions. Secondly, the appointment of Ramón Castillo as its senior member implied a prioritization within the state agenda of those measures the State would take regarding the “health question.” Taking this into consideration, it is evident that the State was affirming the idea that health was a public issue, a concept that had started taking shape inthe country first with the hygienists and then with the financial crisis that affected the mutual associations; however, it acquired interna- tional scope especially after the “Beveridge Plan” was published by the British government in 1942. As Arce explains, seeing health as an individual issue had already been widely problematized and the notion of “public health” had taken hold throughout the Western world as a result ofthe post-war international policy (1 p.106).
Operant behavior is not only regulated by factors related to the quality or quantity of reinforcement, but also by the work requirements inherent in performing instrumental actions. Moreover, organisms often make effort-related decisions involving economic choices such as cost/benefit analyses. Effort-based decision making is studied using behavioral procedures that offer choices between high-effort options leading to relatively preferred reinforcers vs. low effort/low reward choices. Several neural systems, including the mesolimbic dopamine (DA) system and other brain circuits, are involved in regulating effort-related aspects of motivation. Considerable evidence indicates that mesolimbic DA transmission exerts a bi-directional control over exertion of effort on instrumental behavior tasks. Interference with DA transmission produces a low-effort bias in animals tested on effort-based choice tasks, while increasing DA transmission with drugs such as DA transport blockers tends to enhance selection of high-effort options. The results from these pharmacology studies are corroborated by the findings from recent articles using optogenetic, chemogenetic and physiological techniques. In addition to providing important information about the neural regulation of motivated behavior, effort-based choice tasks are useful for developing animal models of some ofthe motivational symptoms that are seen in people with various psychiatric and neurological disorders (e.g., depression, schizophrenia, Parkinson’s disease). Studies of effort-based decision making may ultimately contribute to the development of novel drug treatments for motivational dysfunction.
Summarizing, this work focuses on the general problem of coordinating mul- tiple robots, we propose a solution using two different approaches by applying Ant Colony Optimization-based deterministic algorithms as well as Learning Automata-based probabilistic algorithms to solve the corresponding multi-tasks distribution problem. We have considered several experiments to evaluate thesystem performance index for both approaches, and the results obtained are shown in article. This paper is structured as follows: section 2 describes thefor- mal description ofthe problem and experimental scenario. Section 3 presents a brief introduction, basic definitions and stochastic reinforcement algoritms about learning automata methods. Section 4 briefly describes ant colony optimization methods. Section 5 describes experimental results ofthe evaluation of perfor- mance index, the conclusions and further work are presented at Section 6.
Abstract: Diabetes Mellitus, usually called only Diabetes, is a worldwide chronic metabolic disorder that is characterized by abnormal oscillations in blood sugar levels. Such levels should be monitored by diabetes patients, which traditionally have had to take blood samples by finger-pricking, at least between twice and four times a day. Finger-pricking has a number of drawbacks that can be tackled by Continuous Glucose Monitors (CGMs), which are able to determine blood sugar levels throughout the day and not only at specific time instants. In this paper, the design of an IoT CGM-basedsystem is proposed, whose collected blood sugar sample values can be accessed remotely; thus being able to monitor patients, specifically dependent ones (e.g., children, elders, and pregnant women) and warn them inthe case where a dangerous situation is detected. In order to create such a system, a fogcomputingsystem, based on distributed mobile smart phones, has been devised to collect data from the CGMs. Moreover, the use of a blockchain is proposed, to receive, validate, and store the collected data with the objective of avoiding untrusted sources and, thus, to provide a transparent and trustworthy data source of a population, which can vary in age, ethnicity, psychology, education, self-care, and/or geographic location, in a rapid, flexible, scalable, and low-cost way. These crowdsourced data can enable novel mHealth applications for diagnosis, patient monitoring, or even public health actions, which can help to advance inthe control ofthe disease and raise global awareness on the increasing prevalence of diabetes.