Clustering is an unsupervised classification technique used to form groups of unlabeled data sets called clusters. K-means algorithm is a popular clustering algorithm in which random cluster centers are initially taken. The cluster centers are randomly picked in most of the clustering techniques for which the results obtained by these techniques might be compromised. In clustering techniques, the cluster

The technological advancements have led to a revolutionized change in the field of the health care industry. One of these promising solutions is the Wireless Body Area Networks (WBAN) which has been providing smart healthcare solutions to the consumers. WBAN deals with the sensor nodes that are placed on or embedded into the human body. It is a very challenging task for the sensor nodes to transmit

This paper models the task assignment based on guessing size (TAGS) job allocation algorithm using Markovian processing algebra; PEPA. It aims to analyse performance and energy consumption. The working environment is assumed to be heterogeneous, and the job size distribution is assumed to be a two phase hyper-exponential. Furthermore, the queues are bounded. A two nodes system is implemented with exponentially

Bio-impedance is a method to assess the body composition safely, non-invasively and inexpensively. This method finds application for assessing body fluid and body composition for multiple disease scenarios in clinical environments and for at-home monitoring of chronic ailments. Bio-impedance sensors require higher power than most other bio-signal acquisition systems due to need of high frequency current

Renewable and sustainable energy with advancement in information and communication technologies bear huge expectations in power sector. Whereas, switching from traditional to networked power grid requires a long process. Currently, renewable energy (RE) injection into existing power systems is in transition state, which is a sophisticated and multidisciplinary task. In this article, RE integration

Software is a fundamental part of today's society. However, both users and software professionals need to be aware that its use impacts on the environment, due to the high energy consumption it entails. One of the main gaps to be faced is the difficulty of analyzing software energy consumption in the endeavor to know whether a particular software product is as much energetically efficient as possible

Extreme precipitation is a major challenge affecting the normal functions of urban transportation, particularly in the context of climate change. National and municipal administrations have responded to the increased probability of extreme precipitation events by expanding drainage facilities, or by warning the public in time. In this study, we applied a dynamic system framework to examine how the

At present, rural areas in China have problems such as poor living environment, shortage of facilities, and industrial disappointment. They still use the concept and strategy of urban planning and design to manage the rural areas, which leads to the rural planning results become empty shells, which is time-consuming and laborious, but does not bring practical use to the improvement of rural life. The

In this paper, a hybrid technique is proposed for the system modeling and energy management of Microgrid (MG) connected sources. The proposed hybrid technique is the hybridization of Artificial Bees Colony (ABC) with Bat Search Algorithm (BAT) and Artificial Neural Network (ANN). Here, the novelty of the proposed method is that the search space of the scout bees is gained with the utilization of the

Nowadays, waste to energy (WTE) transformation solutions play a vital role in waste disposal. Accurate WTE resource planning can be made using high-performance waste amount prediction models. Thus, a significant gain can be obtained both in economic and environmental terms. In this paper, we proposed different machine learning models to predict the amount of municipal solid waste (MSW) to be used for

Reducing computational energy consumption in cyber-physical systems (CPSs) has attracted considerable attention in recent years. Associated with energy consumption is a heating of the devices. Device failure rate increases exponentially with increase temperature, so that high energy consumption leads to a significant shortening of processor lifetime. Reducing thermal stress without harming application

The pandemic of coronavirus has dramatically disrupted the retail industry, as many stores are forced to close and people across the world are shelter-in-place with online shopping as the inevitable choice. To meet the rapidly increasing demand for e-commerce, more data centers are expected to provide new or significantly improve existing cloud services that can better support hybrid workloads (e.g

Source code improvements can be suggested or automatically applied from within an IDE augmenting the skills of a developer. In addition, compiler optimizations are readily available for a variety of languages and programming environments that continue to enhance a developer's code on the back end. Common optimizations include transformations that automatically improve the speed or lower the memory

In the past years, the supply of Chinese herbal medicine has become more and more significant. In order to promote the standardized production of Chinese herbal medicine, we should take effective quality control on its production, processing and purchase. It is difficult to control the production quality and production standards of various Chinese herbal medicines planted separately. It is imperative

In this article, a low power, area-efficient full adder cell designed with approximate outputs is presented. The static Complementary Metal Oxide Semiconductor (CMOS) structure is applied to design this approximate full adder energy efficient (up to 72% improvement). The proposed cell simulated in HSPICE with 32nm CMOS technology in four different scenarios. First, the proposed cell was assessed as

With the proliferation of data produced by IoT devices, a new paradigm called fog computing has developed that allows processing and analysis of data at the edge. Together with fog, cloud computing co-exists for purposes such as enormous storage, processing resources, etc. However, storage and computation of data at various levels increase the risk of data privacy. Therefore, an access control mechanism

The food for healthy living, but even with this awareness we a lagging in controlling the food getting wasted every day. It was reported that about 1/3rd of the total food produced in a year is wasted globally, which is an alarming figure and proper measures have to be taken to reduce the waste. In this work we propose a sustainable food waste management system in a college hostel environment, for

Rapid and accurate identification of wheat leaf diseases and their severity is benefit for the precise prevention and control of wheat leaf diseases. Taking powdery mildew and stripe rust as research objects, this study proposes an algorithm for identification of wheat leaf diseases and their severity based on Elliptical-Maximum Margin Criterion (E-MMC) metric learning. Compared with other metrics

Electricity supply must be matched with demand at all times. This helps reduce the chances of issues such as load frequency control and the chances of electricity blackouts. To gain a better understanding of the load that is likely to be required over the next 24h, estimations under uncertainty are needed. This is especially difficult in a decentralized electricity market with many micro-producers

Cloud systems play a vital and significant role in our daily lives due to various internet services. For instance, email services, social networks, and others. Consequently, their energy consumption has also become an increasingly essential concern in Cloud Computing Systems (CCSs). Virtualization technologies are widely used to facilitate the management of CCSs and reduce their energy consumption

Railway is currently envisioned as the most promising transportation system for both people and freight to reduce atmospheric emission and combat climate change. In this context, ensuring the energy efficiency of the railway systems is paramount in order to sustain their future expandability with minimum carbon footprint. Recent advancements in computing and communication technologies are expected

Wireless body area network (WBAN) is growing enormously with the technical development of the internet of things (IOT). On body WBAN is one of the types in which sensors are located on the body of patient. Cooperative techniques are useful in mitigating the fading effect and improving the quality of the transmitted signal. In the current work, a mathematical model considering cooperative CM3A operating

Accurate and efficient Machine Learning algorithms are of vital importance to many problems, especially on classification or clustering tasks but need a universal AI model standard. Unifying machine learning models into a common ecosystem can lead to less development time and better framework interoperability. ONNX (Open Neural Network Exchange Format) is a popular open format to represent deep learning

The development of in chip manufacturing processes has enhanced energy-efficient nano-electronic and high-performance devices in daily activities. In recent times, CMOS technology scaling has recognized several transistors in large-scale VLSI chips to support performance. However, these innovations have also frequently increased the impact of Soft-Error (SE) reliability concerns in computing architectures

With the rapid increase of the number of people on the earth, the environment is deteriorating gradually, and there is a shortage of resources. Therefore, it is urgent to actively participate in the creation of efficient energy-saving technology. The purpose of this article is to study the role of high-efficiency and energy-saving architecture in corporate brand building, explore the relationship between

In virtualized cloud computing systems, energy reduction is a serious concern since it can offer many major advantages, such as reducing running costs, increasing system efficiency, and protecting the environment. At the same time, an energy-efficient task scheduling strategy is a viable way to meet these goals. Unfortunately, mapping cloud resources to user requests to achieve good performance by

Nowadays, China's economic development is in a rapid and stable state, in which scientific and technological innovation has played a great role in promoting the development of economic society. Scientific and technological innovation is an important indicator to measure the competitiveness of modern economic society, and is also the pillar and driving force for the survival of regional economic development

In this work, we propose a two-step methodology for designing and sizing a data center solely powered by local renewable energy. The first step consists in determining the necessary IT equipment for processing a given IT workload composed of batch and service tasks. We propose an adapted binary search algorithm and prove its optimality to find the minimum number of servers to handle the IT workload

Evaporation from sub-surface reservoirs is a phenomenon that has drawn a considerable amount of attention, over recent years. An accurate prediction of the sub-surface evaporation rate is a vital step towards drawing better managing of the reservoir’ water system. In fact, the evaporation rate and more specifically from sub-surface is considered as highly stochastic and non-linear process that affected

Wearable wireless sensors, or Wireless Body Sensor Network (WBSN), is one of the most recent fields of research in healthcare applications. The sensors are placed on the human body to detect the critical medical parameters and transmit the collected data to a centralized node. Though the devices work at low energy and power constraints, maintenance of such devices is a crucial aspect. In light of this

In recent years, China's economy continues to develop at a high speed, but also faces the enormous pressure of energy shortage and environmental deterioration. As an energy-saving discipline, we should actively adopt advanced energy-saving management methods and technologies for energy utilization management. The purpose of this paper is to study an integrated energy pipeline system based on Internet

Security vulnerability prediction models allow estimation of the number of potential vulnerabilities and evaluation of the risks caused by these vulnerabilities. In particular, for modeling the vulnerabilities that may occur in software versions over time, it is appropriate to take the necessary countermeasures. These models are crucial in areas such as determining the number of resources required

In this work, we present a real-time embedded implementation of an algorithm dedicated to monitoring agricultural fields. This algorithm is based on normalized indices, such as the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The problem of most algorithms in this context is real-time processing, especially when we talk about applications that require

Cloudlet is an important part of providing cloud services in Mobile Edge Computing (MEC) with sustainability. As the number of mobile users grows rapidly in the current era, the load in the cloudlet becomes very high. The cloudlet is considered in the middle layer for providing cloud services with low latency and energy efficiency. Hence the task allocation and scheduling inside of the cloudlet is

In this paper, we have proposed a DRL based method to obtain the route based on an optimized load of SDN which is based on self-learning of human intelligence. In this proposal, the Bio-Inspired RBM is used for Bio-Inspired Deep Belief Architecture (BDBA) for implementing deep learning to obtain the optimized route. This Bio-Inspired RBM has two parts one is simple RBM and another part is inspired

Opportunism in the Internet of Things is the latest necessity arising in the IoT network communication development when we encompass a sustainable approach to routing. Such a requirement arises from the need for device-hop based networking to eliminate a dedicated end-to-end physical network for pervasive communication and promotes local data and computation sharing mechanisms as well as sustainably

In order to provide a basis for the development of mineral resources and the implementation of spatial zoning management, the application of fuzzy recognition method in mineral resources allocation is studied and analyzed in this study to promote the optimal allocation of mineral resources and establish a reasonable regional division of labor and cooperation relationship. The results show that, taking

Smart agriculture is based primarily on three platforms, namely science, innovation and space technologies. These are considered as the three pioneer pillars of nation building. Space technologies play a vital role in improving soil quality, reducing the waste of water during irrigation and sharing agricultural information with farmers. With the help of terrestrial, aquatic, and aerial sensors, satellites

Fresh e-commerce has developed rapidly in the past decade. However, compared with the huge number of Internet users and the huge scale of network economy in China, the utilization rate of fresh e-commerce is relatively low and the profit rate is not ideal. Based on the online survey data of 202 experienced consumers and 192 potential consumers, Amos structural equation model is used to empirically

The extreme issues related to energy consumption and connectivity within the network in mobile wireless sensor network indulges so many researchers to find out the optimal solutions. This paper presents a new probabilistic algorithm to analyze the network connectivity by taking in account the parameters like network probability, detection area, radius of the individual nodes and whole detection area

The rapid advancements in wireless technology and enhanced computing power of handheld devices, enable the users to perform transactions anywhere, anytime during roaming. Carrying out ongoing transactions during roaming is a crucial field for research in the field of mobile communication. In order to ensure a high quality of service (QoS), an energy-efficient handover process is essential for accomplishing

With the increasingly severe global energy and environmental issues, the traditional economic load dispatching with the single goal of power generation cost has been unable to meet the national macro strategic requirements for energy conservation and emission reduction. This research mainly discusses the multi-objective optimization of spatial adaptive partitioning based on environmental economic dispatch

In network functions virtualization (NFV) environments, network security is provided with the deployment of virtual security functions (VSF) on general-purpose servers to filter and monitor the incoming traffic. However, the traffic handled by VSFs may have different security requirements in a network. On the other hand, there are some operational objectives that differ according to the needs of the

The accessibility of ubiquitous communication services from various wireless technologies has become essential in the current Internet of everything (IoE) era. It is crucial for mobile users residing in densely populated areas to get the provision of uninterrupted connectivity and seamless services. To this end, this paper provides a mechanism for uninterrupted connectivity to a maximum number of users

Human resources are now a very important factor in the development of various enterprises and even countries, and how to master and manage human resources has always been a problem. Nowadays, the development of science and technology has made the processing of various data simple, and green data processing centers that save energy have also been established. This paper is to study the role of green

Natural hazards like droughts give hard hit to economies, hydrological circle and human lives. Climatic fluctuations have exacerbate the chances of such calamities in future. The consequences can be abbreviated to some degree by predicting it and doing forward planning for such situations. Several drought indices evaluate the intensity of droughts but are incapable of covering most of the important

Data center profits are directly impacted by electric power consumption, which in turn has critical environmental implications. Geo distributed data centers maximize profits by optimizing resource allocation and leveraging diverse power tariffs available in a deregulated market. However, a power network state apathetic profit maximization can destabilize the grid and hamper a data center's sustainability

The huge load on the cluster head (CH) nodes in the clustered Wireless Sensor Network (WSN) is still a problem that causes premature death for those overloaded nodes. In this paper, we have practically proved that CH-load reduction has the largest effect on enhancing the energy efficiency of the clustering algorithms compared to some other energy efficiency- enhancing factors. So, this paper also proposes

Energy-efficient mechanisms for reducing the latency in queuing of multiple threads running on multi-core chips have been a topic of great interest. This is because not only is a high latency undesirable, but it also collectively exacerbates the energy consumption. For lowering latency, one can use techniques such as lock-free algorithms, but they keep threads spinning, incurring high CPU usage, which

An IoT-enabled cluster of automobiles provides a rich source of computational resources, in addition to facilitating efficient collaboration with vehicle-to-vehicle and vehicle-to-infrastructure communication. This is enabled by vehicular fog computing where vehicles are used as fog nodes and provide cloud-like services to the Internet of things (IoT) and are further integrated with the traditional

The workload generated by the Internet of Things (IoT)-based infrastructure is often handled by the cloud data centers (DCs). However, in recent time, an exponential increase in the deployment of the IoT-based infrastructure has escalated the workload on the DCs. So, these DCs are not fully capable to meet the strict demand of IoT devices in regard to the lower latency as well as high data rate while

The topology optimization method (TOM) is a valuable tool to obtain conceptual designs in many scientific fields. However, small-scale problems have traditionally been considered due to the high computational resources this method demands. For example, hundreds of costly optimization iterations are needed, in which millions of design variables are used and where simulation of complex multiphysics phenomena

In the conventional router architecture of Network-on-Chips (NoCs), each input port employs a set of dedicated flit buffers to store incoming flits. This mechanism unevenly distributes flits among router buffers, which in turn leads to higher packet blocking rates and under utilization of buffers. In this paper, we address this problem by proposing two novel buffering mechanisms and their corresponding

Colocation data centers (colocations, for short) are developing rapidly and have become ideal participants for emergency demand response (EDR) programs. However, even colocation operators wish to save energy, they cannot achieve energy reduction without coordination from the tenants, because the servers in the colocations are owned and operated by the tenants. To solve the “uncoordinated relationship”

One of the great challenges of today's computer memory architectures has been their energy consumption. In this sense, DRAM technology has come close to its scalability limit due to energy issues. Thus, new technologies have emerged intending to replace DRAM as main memory. In this context, non-volatile memories emerge promising to be an alternative for low energy consumption memory systems. Due to

Virtual Machine (VM) live migration is one of the strategic approaches that can be employed to reduce energy consumption and increase the utilisation of a large computing infrastructure. In this paper, we implement the pre-copy live migration algorithm to provide a test environment for live job migration in a high throughput computing system (HTC). We present details of our extension into the HTC-Sim