Balancing Technology Research Articles

Robotics and Algorithmic Trading: A New Era in Stock Market Trend Analysis

This paper uses machine learning to examine how robots and algorithmic trading have transformed stock market trend analysis. The main goals are to assess how these sophisticated systems improve prediction accuracy, trading efficiency, market liquidity, and their problems and policy consequences. The research synthesizes academic, industrial, and technical literature using secondary sources. Significant results show that robots and algorithmic trading have enhanced trading speed, accuracy, and market efficiency while increasing market volatility data quality and model overfitting issues. Machine learning improves trend analysis by spotting complicated patterns and improving trading techniques. These advances need solid regulatory frameworks to control risks, including market instability and ethical issues. Policy implications include circuit breakers and transparency standards to promote fair and stable markets. This study emphasizes balancing technology innovation with regulation to provide a safe and fair trade environment.

A novel 1-D densely connected feature selection convolutional neural network for heart sounds classification.

BackgroundHeart sound auscultation, due to it being a non-invasive, convenient, and relatively low-cost technique, remains the dominant method for detection of cardiovascular disease.MethodsIn this paper, we present a method for identifying abnormal heart sounds based on a novel Dense Feature Selection Convolution Network framework (Dense-FSNet). The Dense-FSNet is comprised of multiple, circular dense connectivity modules, called Clique Blocks. These Clique Blocks can allow low-level and high-level features to stimulate each other for cyclic updates, which subsequently enhances the information flow among layers. Inspired by the channel-wise attention mechanism from Squeeze-and-Excitation Networks (SENet), we adopted squeeze-and-excitation block to avoid the progressive growth of parameters. The effect of the model was assessed using the accuracy, specificity, sensitivity, and area under the curve (AUC) values. To improve model performance, in addition to the structures mentioned above, we incorporated a multi-scale attention mechanism into our framework.ResultsUsing this attention mechanism, our model was able to achieve adaptively spatial feature fusion by adjusting a hyper-feature that contains higher level visual information and lower-level features including edge details and context information. It is worth noting that data balance technology was also used in the process of building the model, and notable results have been achieved.ConclusionsExperience using the PhysioNet/CinC 2016 dataset shows that our proposed Dense-FSNet models achieve state of the art levels in the classification and detection of abnormal heart sounds.

Gap balance technology can reduce the amount of osteotomy and maintain the balance of lower limb alignment and flexion and extension gap in total knee arthroplasty

Gap balance technology can reduce the amount of osteotomy and maintain the balance of lower limb alignment and flexion and extension gap in total knee arthroplasty

A Charge Balanced Neural Stimulator Silicon Chip for Human-Machine Interface

This paper proposes a neural stimulator silicon chip design with an improved charge balancing technology. The proposed neural stimulation integrated circuit (IC) uses two charge balancing modules including synchronous charge detection module and short-time pulse insertion module. The synchronous charge detection module is designed based on a current splitter with ultra-small output current and an integrator circuit for neural stimulation pulse width control, which greatly reduces the residual charge remained on the electrode-tissue interface. The short-time pulse insertion module is designed based on the electrode voltage detection and compensation current control, which further reduces the accumulated residual charge and keeps the electrode voltage within a safety range of ±25 mV during multiple stimulation cycles. Finally, this neural stimulator is implemented in TSMC 0.18-μm CMOS process technology, and the chip function is tested and verified in both experiments with the electrode-tissue RC model and the PBS saline solution environment. The measurement result shows the neural stimulator chip achieves improved charge balancing with the residual charge smaller than 0.95 nC, which is the lowest compared to the traditional neural stimulator chips.

HeartMath Coherence Model Throws New Light on Arka Dhyana Intuitive Meditation.

In an experimental evaluation of an introductory Arka Dhyana (Intuitive Meditation) course, HeartMath (HM) Inner Balance or emWave2 electronic technology showed highly significant increases in both coherence and achievement in six participants who learned how to change their level of consciousness as proposed by the Theory of the Six Main Levels of Consciousness. During the course, which was offered to an international audience via Zoom technology, participants intended to connect with their deeper self, being, or essence, by bringing their I-ego-awareness from the thinking mind, often associated with the frontal part of the brain, to 19 energetic stations in the body including the heart centre. Considering the results from the HeartMath Coherence Model viewpoint, it seems this intended shift leads to cardiovascular phase synchronicity and interconnection of various bodily subsystems, which is also comprehensible based on our bodily development during embryogenesis. Qualitative statements involving feeling also point to increases in well-being, indicating changes in levels and individual transformative experiences as predicted by the Theory of the Six Main Levels of Consciousness. Increased focus, stilling of the mind, and calming of emotions also seem to be health benefit by-products of Intuitive Meditation (IM), but further research on more advanced practitioners is needed. This preliminary study needs to be repeated using a bigger sample size and further research on more advanced IM practitioners is required.

The meaning of participative implementation processes for local energy balancing in a systemic approach

Within an interdisciplinary, participatory and transformative research approach, a multi-method research design was used to examine acceptance criteria of energy balancing technologies. Energy balancing is important to integrate the increasing amount of renewable energies efficiently into the energy supply system: due to the fluctuating power production from wind and solar power plants flexibilities are needed. The study applied a holistic, systemic perspective, not only focused on the technologies, but also on consumers, producers and the interwining of both. Within the study, a mixture of balancing technologies, suitable for decentralized energy systems on a regional or local level, took center stage. The most relevant stakeholders to define acceptable pathways for planning and realization processes for decentralized energy balancing concepts are in the focus of interest. They are identified as decision holders to foster the implementation of energy balancing. For environmental planning, regional participation and related governance processes results state a lack of awareness for the necessity of energy balancing. A shared understanding of future energy balancing needs and possibilities within respective regarded areas is crucial besides administrative boundaries of e.g. municipalities. Furthermore, different levels to integrate municipal stakeholders and citizens in an adapted planning process for energy balancing concepts have been identified and a prototype of a strategic planning tool was developed and tested.

A novel transient balancing technology of the rotor system based on multi modal analysis and feature points selection

In this paper, a novel transient balancing technology for identifying the unbalance parameters of the rotor system is proposed. Through basic coordinate transformation and multi modal analysis of the dynamical equations of rotor system, the calculation method for transient excitation forces is proposed. The transient excitation forces are calculated by the transient responses and modal parameters at several special positions of the rotor model. Then the “feature points” are introduced in the identification procedure and the unbalance parameters are identified by selecting the “feature points” of the calculated excitation forces. The accuracy of the proposed method is demonstrated by numerical simulations and experiments of the rotor system. Identified results of the proposed method are presented for different unbalance parameters and rotor models. Effects of different random noise levels to the displacement signals, varieties in damping and support stiffness are also presented to verify the adaptability and efficiency of the proposed method. The results show that the unbalance parameters estimations are robust with respect to the above influence factors.

Web Server Performance Improvement Using Dynamic Load Balancing Techniques: A Review

Today, web services rapidly increased and are accessed by many users, leading to massive traffic on the Internet. Hence, the web server suffers from this problem, and it becomes challenging to manage the total traffic with growing users. It will be overloaded and show response time and bottleneck, so this massive traffic must be shared among several servers. Therefore, the load balancing technologies and server clusters are potent methods for dealing with server bottlenecks. Load balancing techniques distribute the load among servers in the cluster so that it balances all web servers. The motivation of this paper is to give an overview of the several load balancing techniques used to enhance the efficiency of web servers in terms of response time, throughput, and resource utilization. Different algorithms are addressed by researchers and get good results like the pending job, and IP hash algorithms achieve better performance.

The role of hydropower reservoirs in deep decarbonization policy

This paper analyzes the role of hydropower reservoirs in the deep decarbonization of power systems. Extending previous work, this study models the impact of hydro reservoirs on optimal planning decisions. It further provides a more holistic assessment of the role and economic value of hydro reservoirs through the use of a detailed capacity expansion and dispatch model. Our model is parameterized based on the power system of New England, U.S. and the hydro-based system of Quebec, Canada. We find that expanding transmission access to hydro reservoirs reduces the need for fossil-fuel power plants that may otherwise be deployed to balance renewable intermittency. Our results show that hydro access can accelerate decarbonization by decreasing optimal gas plant capacity and generation. At levels of very deep decarbonization, reservoir hydro reduces the need for Carbon Capture and Storage. Our modeling shows how hydro reservoirs accomplish this by serving as both a short- and long-term energy storage resource. We further show that, by reducing the need for more expensive balancing technologies and by enabling a more efficient utilization of variable renewables, hydro access lowers the cost of decarbonization, and that this benefit grows non-linearly with the decarbonization target.

Global potential of green ammonia based on hybrid PV-wind power plants

Ammonia is one of the most commonly used feedstock chemicals globally. Therefore, decarbonisation of ammonia production is of high relevance towards achieving a carbon neutral energy system. This study investigates the global potential of green ammonia production from semi-flexible ammonia plants utilising a cost-optimised configuration of hybrid PV-wind power plants, as well as conversion and balancing technologies. The global weather data used is on an hourly time scale and 0.45° × 0.45° spatial resolution. The results show that, by 2030, solar PV would be the dominating electricity generation technology in most parts of the world, and the role of batteries would be limited, while no significant role is found for hydrogen-fuelled gas turbines. Green ammonia could be generated at the best sites in the world for a cost range of 440–630, 345–420, 300–330 and 260–290 €/tNH3 in 2020, 2030, 2040 and 2050, respectively, for a weighted average capital cost of 7%. Comparing this to the decade-average fossil-based ammonia cost of 300–350 €/t, green ammonia could become cost-competitive in niche markets by 2030, and substitute fossil-based ammonia globally at current cost levels. A possible cost decline of natural gas and consequently fossil-based ammonia could be fully neutralised by greenhouse gas emissions cost of about 75 €/tCO2 by 2040. By 2040, green ammonia in China would be lower in cost than ammonia from new coal-based plants, even at the lowest coal prices and no greenhouse gas emissions cost. The difference in green ammonia production at the least-cost sites in the world’s nine major regions is less than 50 €/tNH3 by 2040. Thus, ammonia shipping cost could limit intercontinental trading and favour local or regional production beyond 2040.

WITHDRAWN: Dynamic power load distribution using simulated annealing

Load balance, load matching, or frequent demand reserve apply to the usage, during low-demand times of different technology by Power plants to store excess Power. It strives to provide a load factor of 1 in the Power supply device. Network energy storage holds Power beyond the customer's transmission system. Alternatively, the energy may often be dispersed and consumer active, For example, in the case of demand-response storage heaters, such as the UK's economy, or car-to-grid storage networks, which can use electric car storage in high hours, and then reload in off-peak times. These require customer benefits to join, typically by higher off-peak energy prices. Telephone exchanges also have a variety of batteries in their Power plants, which in former Underground networks like the London Underground do not only have their own strength plants, but also the grid to balance loads. Now these supplies are mostly supplemented by a direct grid supply and so for the purposes of load balancing they are no longer usable. Load balancing technologies rely on “smart grid” infrastructure, where many customer and enterprise equipment connect with the utilities through automated means and the utilities can be enabled and turned on to work off-peak hours. The power utilities send a signal down the line and to transform a special circuit through a certain telecoms chip with a basic demand balancing system at home. This circuit is usually connected to a room or a water heater storage unit. This manuscript presents the usage patterns of metaheuristics of simulated annealing for the usage patterns in the load balancing of Power systems with huge elevation in the performance.

Advanced Handover Techniques in 5G LTE-A Networks

In High-speed and seamless access is the goal of next-generation mobile communication systems, especially for VoIP and multimedia services. The supported mobile speeds are expected to reach 500 km/h in the Fifth Generation Networks (5G), lead to the handover will take place continuously as the mobile user moves through the cells. Therefore, efficient radio resource management, including the handover, load balancing technologies is vital problems. In this work, we perform a comprehensive survey of advanced handover techniques in the next-generation mobile communication system (5G) as well as requirements and features for the LTE-Advanced system. In the LTE-Advanced system, Fractional Soft Handover (FSHO) with 5 CCs improves latency and better handover quantity when not using CA. Currently, the proposed handover techniques have many advantages but have not yet resolved important issues in the handover process. Therefore, new handover techniques are required to support a fast and seamless handover process in the LTE-Advanced system. As a result, an advanced transfer technique proposed by combining FSHO, SSHO techniques can reduce latency, enhance efficiency and reliability, especially in the border areas between the cells.

WITHDRAWN: Optimized Adaptive load balancing algorithm in cloud computing

Abstract As we know that Internet speed creation in cloud computing clearly positions the scheduling algorithm in today's lifestyles very critically. In the cloud world, the right load balancing technology is essential to execute the system and manage resources. In a dispensed system, sources with varying configurations and capabilities are very difficult to obtain. In order to optimise certain final outcomes, the load balance machine will pose the obstacle to the resource that, based solely on certain specific goals, takes on essential targets. The history of cloud activities simplifies and demonstrates the scheduling system, optimization problems focused mostly on QoS in cloud architecture. At Level-1, the “planning algorithm” based on the Service Level Agreement (SLA) contains full information about the assignments and distribution to the cluster. In Level 2, the monitoring strategy for idle servers balance the demand on separate servers in each cluster. Most significantly, the current load balancing strategies will be remembered and an improved load balancing algorithm will be increased that will mainly support the cloud world. This text delineates a comparative look at the cloud computing world to classify these scheduling algorithms.

Research on Data Center Load Balancing Technology Based on SDN

With the rise of mobile Internet and big data, the continuous expansion of data center network deployment, the trend toward more complex traffic patterns and fine-grained performance management requirements, have brought more and more network performance issues to the fore. As an emerging network architecture, SDN separates the control plane from the data plane, and has the characteristics of centralized control and programmable. The centralized control feature of SDN technology enables the SDN controller to dynamically obtain network topology, link information, node information, and flow information in a timely manner, thereby realizing flexible and fine-grained centralized scheduling of network flows, which is very suitable for the needs of data centers. Due to the high dynamic nature of SDN, how to improve the timeliness of its load balancing and better solve network congestion is very important. Aiming at the problems in data center network applications, this paper studies the SDN-based data center network load balancing management system structure, and discusses the load balancing technology of data center server clusters based on improved ant colony algorithm.

A multifeature fusion method for the color distortion and low contrast of underwater images

Light is scattered and absorbed when it is transmitted through seawater. Underwater images captured in water suffer from color attenuation, low contrast, and blurred details. To address these effects, we propose a multifeature fusion method (MFFM) to improve the color distortion and low contrast of underwater images. White balance technology is used to address the color cast of underwater images and obtain a color correction image. On this basis, the color correction image is enhanced by a guided filter to obtain a contrast-enhanced image. Four feature weights of the input images are calculated separately, and two normalized weight maps are constructed by normalization. To avoid a halo, the two normalized weight maps are multiscale fused. To improve the edge detail, the fused image is enhanced by a color adjustment technique to obtain the final enhanced image. Real underwater images are used for simulation and application testing. Compared with the current state-of-the-art methods, our method can balance the color and contrast and improve the visibility of underwater images. Extensive qualitative and quantitative experiments verify the superiority of the MFFM.

‘We are all just prisoners here of our own device’: The moral challenge of balancing technology, work and capitalistic pursuits

Although technological proliferation is a reality in a 4IR world, and has immense potential to increase the efficiency and quality of work, it is accompanied by workplace practices that there is no benchmark for. These practices have the potential to unsettle traditional work routines, traditional work/non-work boundaries, and to disturb peoples’ work life balance irreparably. Against this backdrop, this paper explores the parameters of morally acceptable organisational practices in terms of usage and expectations of ICT’s. Through adopting a Critical scholarly stance, this paper dialectically investigates the nature of work and the importance people associate with it, the ways in which technology impacts work and peoples’ lives, and uncovers how technology enables control over labour in a capitalist society. The effect the current technological explosion has been far reaching and is effecting every sphere of life. As we try to make sense of 4IR, we are also redefining our different contexts and the role technology and ICT play in each of these. We are noticing a definite blurring of spaces that, not too long ago, had distinct parameters.

The network architecture optimization based on the server load balancing technology

The paper takes the authentication gateway system for internal office network as the research object, for the performance bottleneck and single point of failure problem of the single authentication gateway deployed in the existing primary and standby modes, chooses an authentication gateway integration method based on CA certificate. The practical results show that: through implementing the authentication gateway cluster design and introducing load balancing mechanism, this method solves the performance, stability and single point of failure of the authentication gateway, and improves the resource utilization of the authentication gateway device. This method introduced in this paper can be used for reference for the network architecture optimization based on the server load balancing technology.

РЕГИОНАЛЬНЫЕ ОСОБЕННОСТИ ГОСУДАРСТВЕННОГО РЕГУЛИРОВАНИЯ СФЕРЫ ЗАНЯТОСТИ РОССИИ В КОНТЕКСТЕ РЕЗУЛЬТАТОВ ЭКОНОМИКО-МАТЕМАТИЧЕСКОГО МОДЕЛИРОВАНИЯ СИСТЕМЫ РЕГИОНАЛЬНЫХ РЫНКОВ ТРУДА

The article considers the results of the analysis of the problem of state regulation of the sphere of employment-prevention, prevention and mitigation of unemployment as a key indicator of the state of the spatial economic system. The subjects of the study are the subject of the Russian Federation – the regional level, the federal district of the Russian Federation – the macro – regional level and Russia as a whole-the macro-level. The proposed approach for solving these problems is based on symmetric models of institutional interaction of supply and demand in regional labor markets and a conceptual scheme for selecting applicants in the system of basic competence modules. The main conceptual and technological tools are: typological modeling of the LM of Russia by methods of nonlinear nonparametric analysis in the R-scaling format, as well as multi-criteria balance technologies for representing and analyzing the interaction of supply and demand on RLM.Examples of the results of mapping the main objects of the constructed factor models in the form of typological planes, which depict the states of the observed objects-subjects of the Russian Federation in the corresponding system of integral indicators.

Research on load balancing technology for microservice architecture

With the emergence and development of new software architectures such as microservices, how to effectively handle the service load and ensure the service capability of the system has become an urgent problem to be solved. Load balancing technology needs to achieve high availability of microservices without affecting the delayed response of requests. According to different principles of adoption, mainstream load balancing technologies have emerged, such as polling methods, hash algorithms, and artificial intelligence technologies. This article categorizes and summarizes load balancing technologies for microservice architecture, and elaborates the methods and characteristics of current mainstream load balancing technologies. Based on the comparative analysis of existing technologies, this paper summarizes and points out the future development direction of load balancing technology.

Nature-like mining technology as a potentially monumental resolution of environmental contradictions during the development of solid mineral deposits

The antagonistic contradiction between the biological essence of man and the abiological ways in which he obtains energy from the Sun for the creation of a food base and personal habitat is the determining factor shaping the image of our technocratic civilization. In order to address this contradiction in the development of the mineral and raw materials complex, it is necessary that the requirements for environmental security not be imposed on individual operations or processes but form the basis of a promising technological paradigm. In this way, the conservation of the Earth’s natural biota becomes a requirement and an inherent feature of the technologies created and applied. It seems abundantly clear that from a methodological point of view, technological responses to environmental challenges should be sought in the study of systems where these answers have already been obtained. Namely, these answers present themselves in biological systems taking form in nature-like technologies. Recent changes in public consciousness have inevitably led to the greener thinking in all spheres of human activity. The most illustrative ref lection of this phenomenon is the growing interest in nature-like technologies, which are associated with the main aspirations in the settling of a global environmental crisis generated by a long-term antagonistic confrontation between the technosphere and the bio- sphere. In considering the concept of nature-like technologies as a designation of the principal trend in the modernization of the general technological paradigm, it is necessary to distinguish two specific areas. Depending on whether or not the technologies that we use are present or absent in wildlife, we must first consider the construction of technologies by duplicating effective processes already observed in wildlife in the technosphere (nature-reproducing technologies) and, secondly, the creation of technological systems by transferring the effective functional structure of the circulation of matter and energy in biological systems to the technosphere (convergent technologies). The general theory of the creation of “similar to nature“ technologies is presented, based on the well-known principles of homeostatics - methods of maintaining the vital parameters of the interaction of natural and technical systems by controlling the contradictions between antagonists. The main directions of the structural and functional convergence of technical and biological sciences are identified when updating the technological paradigm of industrial development, based on the reproduction in the technosphere of systemic solutions that ensure the functioning of complex biological systems. Regarding the ecologization of the technological paradigm of the mineral resource complex, the methodology of creating an ecologically balanced technology as a multiobject cluster is based on the well-known principles of homeostatics, i.e., on the phased formation of a technological homeostat on the basis of the structure of a biological homeostat with the replacement of its essential elements with geotechnological target analogues. The result of this transformation is the construction of a convergent mining technology for integrated field development. Its use will ensure the development of technical systems that make it possible to limit external environmental impacts owing to the postexploitation self-restoration of natural biota phytocoenoses. The study was supported by the Russian Science Foundation, Project No. 19-17-00034.