Despite the development of enterprise resource planning (ERP) deployments in the last two decades, organizations have also faced with implementation challenges. The present study provides a comprehensive categorization of these factors and the effective parameters using a meta-synthesis approach and with a systematic review of implementation risk factors and failure/success factors in the ERP literature

Improvements in nanotechnology have introduced contemporary sensory devices that are capable of gathering multimedia data in form of images, audio and video. Wireless multimedia sensor networks handles such type of heterogeneous traffic. Since these networks are an emergent of wireless sensor networks, they inherit constraints that exist in these traditional networks. This paper is a survey of characteristics

Intravascular ultrasound is a catheter based ultrasound imaging used in the diagnosis and treatment of cardiovascular disease. It facilitates high-resolution tomography assessments of the dimensions of vessels, as well as direct examinations of the vessel walls and underlying atherosclerotic plaque morphology. Ultrasound imaging is degraded by the presence of signal-dependent noise and artifacts that

A wide variety of security applications like computers, laptops, mobile phones, ATM machines, physical access control to property etc. are using biometrics based system for human identification. Today’s Biometrics authentication system can provide highest level of security to the user of the service and the service providers. Today’s uni-modal biometric systems has become mature system and being used

Development of a 3D model of tibia femoral bone is very important for diagnosis and treatment. Knee pain is most commonly observed problem in old age people and it is a very complex joint. Hence analysis of knee joint is very essential. Analysis can be done using 3D model and finite element model. Physical and mechanical properties of knee joint can be analyzed using Finite Element Analysis (FEA) technique

This research relies on nutation control strategy through state feedback with its application to a spin-stabilized autonomous system such as spacecraft. The key subject behind the investigation is to present a new formulation in the area of attitude control to be able to handle the rotational angles in connection with angular rates, while the system under control is in a predefined mission operation

Natural language processing is an application of a computational technique that allows the machine to process human language. One of the primary tasks of NLP is information extraction that aims to capture important information from the text. Nowadays, the fast-growing web contains a large amount of textual information, requires a technique to extract relevant information. The entity recognition task

Bias field is a smooth intensity variation, which emanate during the process of image procurement. Bias removal is an essential prerequisite while incorporating computer assisted diagnosis. Several bias correction algorithms are proposed till date. This paper scrutinizes the prominent bias correction algorithms, LEMS, MICO, BCFCM and N3. These investigations carried over the substantial amount of T1

Modern systems comprise hardware and software components that together provide value through enabling the functionality that the system is intended to provide. Systems engineering (SE) and software engineering (SwE) are therefore interdependent, tightly coupled, and complementary activities that must be carefully aligned and coordinated throughout the system development process. Yet, these two disciplines

Technology advancements have a rapid effect on every field of life, be it medical field or any other field. Artificial intelligence has shown the promising results in health care through its decision making by analysing the data. COVID-19 has affected more than 100 countries in a matter of no time. People all over the world are vulnerable to its consequences in future. It is imperative to develop a

Technical debt is the debt in the software development incurred due to preference of short term deadlines over the strategic ones. Analysis of the factors effecting technical debt (TD) is need of the hour from business as well as technical context. Based on the state of the art described in the literature, we have tried to identify the most contributing factors effecting TD. For doing so various statistical

This paper introduces temperature invariant absolute rotatory encoder using photocells on the visible light spectrum. A multivariate function is proposed to remove error arising on photocells through temperature variance and a small change in light intensity. Multiple experiments are conducted in the controlled environment to prove proposed multivariate function. Encoder introduced in this paper is

The main purpose of this research is to identify the agility enabler indicators of the organization and the dimensions of agility enabler and how the agility enabler indicators can be used to achieve the agile system. In this study, the RBF neural network model and multiple regression models were used to achieve the ideal level of agility and to analyze the effect of indicators as well as to provide

Sensor networks are used for observing some region of interest. Sensors sense different physical quantities and send to base station or sink. The tree based networks with TDMA as MAC protocol are preferable because of simplicity of tree and guaranteed data access in TDMA. Often sensor networks are multi-sink and multi-attribute networks. Multi-sink network means more than one sinks are present and

Parts-of-speech tagging is a process in linguistics which deals with tagging each word in a sentence with their corresponding parts-of-speech. This process is considered to be one of the pre-processing steps for many natural language processing tasks. Earlier approaches were based on simple heuristics and later several methods were reported in the literature that incorporated machine learning techniques

Acceptance of Open Data by the governments, foundations, science councils and other sponsors of research across the world have prompted the trend towards Open Data. Many researchers and organizations have embraced the Open Data policy. Most often the datasets are released through Dataverse. However, just making datasets available is not enough. We need inbuilt user-friendly data extraction and transformation

With the improvement in high-throughput genome sequencing technology, huge amount of genomic data are generated every day. These data are used in numerous applications: sequence alignment, drug discovery and personalized medicine, etc. To efficiently handle genome data for storage, processing, and transmission, some specific genomic data compression approach is a need of today. In this paper, a hybrid

In the direction of keeping up longer life time of network, there is a limitation on the life-span of Wireless Sensor Network. In numerous applications, data to be sensed should be transmitted commencing from sources towards a sink in a timely way. The low effectiveness of data transmission is capable of routing with low quality of service and needed to guarantee network transmission. The proposed

POS tagging serves as a preliminary task for many NLP applications. It refers to the process of classifying words into their parts of speech (also known as words classes or lexical categories). Somali is a member of the Cushitic languages with limited number of NLP tools for use. An accurate and reliable POS tagger is essential for many NLP tasks like shallow parsing, dependency parsing, sentiment

The number of connected devices is rapidly increasing and the radio spectrum is not enough, but the visible light spectrum is broad enough to accommodate all the devices. Radio waves cause signal distortion which harms the efficiency of the system, but light rays are less prone to signal distortion. The purpose of this research is to establish efficient Li-Fi one-way communication and to derive a mathematical

Semantic web service (SWS) discovery and recommendation (SWSR) has emerged as a potential technology which aims to fulfill the user requirements by providing an improved recommendation for Academic and business communities. In SWSR, the user search pattern is adopted to make service discovery as well as recommendation. In order to achieve the precise recommendation of SWS, the ensemble learning method

At this time, COVID-2019 is spreading its foot in the form of a huge epidemic for the world. This epidemic is spreading its foot very fast in India too. One of the World Health Organization states that COVID-2019 is a serious disease that spreads from one person to another at very fast speed through contact routes and respiratory drops. On this day, India and the world should rise to an effective step

The live migration of virtual machines among physical machines aims at efficient utilization of resources, load balancing, maintenance, energy management, fault tolerance, sharing resources and mobile computing. There are several methods for the live migration of virtual machines. In the post-copy approach, a virtual machine starts working in a target host, when data that is not present in the target

The mathematical model of the Partial Discharge (PD) location detection system in transformers, using the Ultra High Frequency (UHF) technique, is a system of non-linear sphere equations. These non-linear equations are solved to determine the PD source co-ordinates. In this paper, a non-iterative method is studied to determine the PD location. For the study, a simulation-based system is modelled in

Named entity recognition (NER) application development for under-resourced (i.e. NLP resource) language is usually obstructed by lack of named entity tagged dataset and this led to performance deterioration. Similarly, in Amharic language getting annotated training dataset for named entity recognition problem is extortionate, though an enormous amount of untagged data is easily accessible. Fortunately

The adverse consequences of class imbalance problem are prevalent while performing classification for disease diagnosis. Such classifiers predict most of the examples of negative class (instances with non-diseased label) correctly but fail to make correct predictions for the positive class examples (instances with diseased label). Since misclassification costs can be very high for a sensitive field

Internet has become integral part of everyday life of children, grownup, schools, colleges, institutions and business etc. Facilities like email, social networking, tweeting, online purchase, searching are the most popular activities amongst every generation. However, the lack of ownership common agreement about the precise approach to educating and protecting children has resulted in further challenges

In today’s world, most readers prefer to read news online as they get instant access to what is happening right now. Furthermore, personalized recommendations help in keeping users engaged. Along with these virtues, online news has some vices as well. One such vice is the presence of alluring social media posts (tweets) relating to news articles whose sole purpose is to draw the attention of the users

Achieving the best quality as per user requirement is one of the important challenges in Wireless Sensor Network (WSN) containing numerous sensor nodes with limited battery power. The time-critical applications in WSN demand energy-efficient and reliable transmission of data with limited resource availability. To resolve these issues, our proposed optimal cluster head selection method choose node as

Wireless communication technology is the main reason for the advancement to mobile users. So each user demands for a separate frequency spectrum. But there is a limited frequency spectrum band. Hence there is need of an efficient communication system which first evaluates the need of frequency and then provides the frequency band to that user smartly. Cognitive Radio (CR) Technology is based on software

Disaster management demands a near real-time information dissemination so that emergency services can be provided to the people immediately. Real time information can be easily collected with the various sources with rapid advancement of information and communication technologies. Use of ICT in different stages of disaster management is studied. Existing solutions are explored and also the study of

Coronavirus disease 2019 (COVID-19) is the name given by the World Health Organization (WHO) to the highly contagious and infectious disease caused by the Novel Corona Virus or SARS-CoV-2, which was first reported on 31 December 2019 in Wuhan city of the capital of China's Hubei province. Due to the rapid increase in the number of infections worldwide, the WHO in March 2020, declared COVID-19 as a

In this article a review has been performed on the technical background and the core supporting technologies of the narrow-band Internet of Things (NB-IoT) and the possible applications in perspective of conditions of Bangladesh. At the commencement of the paper, it introduced NB-IoT techs’ background, history of development, and standardization. Then, described the features of NB-IoT by the recitation

Conventional search engines provide a lot of irrelevant results to the user’s search query, which consumes a lot of time and effort, as the context and semantics of the request made by the user are not analyzed to the optimum extent. This highlights for the need of a methodology embedded in the search machinery, enabling semantic web search. Ontologies have proven to be an effective technology for

In this research paper, an effort has been placed to convert 24 American Sign Language (ASL) signer independent, real time hand gesture alphabets into human or machine recognizable English text. In the proposed work, the ASL hand gestures used for cognition and recognition process is completely invariant to scale, luminance, gender, and distance in the complex background of indoor location. The Viola-Jones

In this digital information era, data transmitted over internet is vulnerable to several types of attacks. To preserve our information over internet, it is necessary to use some cryptographic methods. advanced encryption standard is a strong symmetric, non-fiestel cryptographic algorithm which preserves the information transmitted in internet from piracy or attacks. In this research article, a new

Now a day multi-dimensional data modeling and aggregate query processing which are key assets of business intelligence solutions are being frequently realized to the unorthodox data. For interval values which are recorded when the data is on hold, multidimensional aggregation is the only viable solution and the author emphasizes over this aspect in this paper. Actually, such intervals reflect the state

Reconfigurable processors are gaining more attention in battery powered portable platforms like IoTs. As the FPGA based reconfigurable processors are power hungry and the energy source is limited in battery powered system, energy management is vital for such systems. This paper addresses an energy-performance management method in battery powered reconfigurable processors for standalone IoT systems

This paper discuss about the simulation and synthesis of Takagi–Sugeno fuzzy system for a decentralized stabilization problem using parallel distribution compensation technique. In general if the inter connection link between any two dual subsystems is not in order and also not in a corresponding state that leads to the system to be in unstable condition. Here the fuzzy control is employed which has

The function of an Independent Robot has demanding conflicts and a perfect balance is required to minimize the conflicts along with a degree of capability. This paper talks about two co-operating mobile robots with a multilayer control system which utilizes Boolean logic to enable the significance of a relative behaviour. Therefore the fuzzy system takes its role as an arbiter that has the ability

LTE is a broadband wireless communication standard, including a voice service that is upgraded to 5 G, with the core network technology. In recent years Voice over Internet Protocol (VoIP) became more accessible to customers because of the increasing competence of Internet services and the development of voice call applications. According to its increased capacity, data rates, and lower latency, LTE

Many children now get access to smartphones by two years of age and gradually learn to operate them. The objective of this study was to determine the age at which children become capable of using smartphone apps with augmented reality. We developed an augmented reality smartphone app in C# and studied the interaction of 60 children aged between two and eight years with it. We conducted a preference

Network analytics is of key importance for the proper management of network resources as the rate of Internet traffic continues to rise. The aim of this paper is to investigate the performance of different network traffic capture tools for extracting features and to evaluate the performance of eight Machine Learning (ML) algorithms in the classification of (1) applications; (2) states and (3) anomalies

The slow adoption of IPv6 protocol by organizations has led to internet service providers (ISP) investing minimal resources in setting up IPv6 Internet connectivity, ultimately resulting in sub optimally tuned IPv6 Internet routing fabric. The altogether different IPv6 packet header with more bits for the IP address, no header checksum, and no intermediate fragmentation features, are expected to give

In the contemporary world, applications and tools of digital technology have become part of our daily lives. The technology and tools influence and helps us to improve and excel in education, science, social science, communication, business, personal management and many others. In particular, the digital technology has made phenomenal changes in the way we learn and educate others. The influence and

Computer power and internet proliferation together have given rise to some of the amazing and revolutionary technologies, one of them being the cloud computing. In the beginning of this century, this technology was already providing a paradigm shift in the way infrastructure is used in the businesses applications. This technology in particular has been one of the major reasons of the spread of e-learning

In the original article, one of the co-author’s (Abdullah Basahel) given name has been published incorrectly.

Maximum power point (MPP) Tracking, which is usually referred as MPPT, is a setup that forces the photovoltaic (PV) module to operate in such a way that the PV module will yield the maximum power, which in turn depend upon the solar illumination and surrounding temperature. Amidst all the MPPT designs, perturb & observe and incremental conductance (INC) algorithms are mostly selected due to easy implementation

It is a vital necessity of a heterogeneous environment to schedule the resources efficiently among applications to optimize the execution time to provide well-regulated services to the users. The system is said to be effective only if it supplies the resources on time and assures smooth task execution. This paper introduces a dynamic task scheduling with advance reservation (DTSAR) of resources to

Agile software development is receiving the attention of software developers and researchers thanks to its fast software delivery and flexible development plan capabilities. The fast release and simplified documentation thus leads to the preference of the agile development model over several other traditional models. This, however, also raises critical concerns about the security issues. In this research

Now-a-days, security and surveillance has become an integral part of our everyday life. There is a need for an Intelligent Surveillance systems for the being developed Smart Cities to ensure safety at all levels. The Objective of this paper is to demonstrate an Integrated framework for Vehicle detection and classification from real-time video captured from the road traffic. This work proposed a complete

Distribution of nodes in different depths leads unbalanced energy consumption in underwater wireless sensor networks. This issue is one of the most important challenges in routing protocols based on depth because nodes with larger depth rely on smaller depth nodes to send their data to the sink through multi-hop communications. This situation applies high load on nodes with small depth as they die

Accurate and precise trajectory tracking is crucial for unmanned aerial vehicle (UAVs) to operate in disturbed environments. This paper presents a novel tracking hybrid controller for a quadrotor UAV that combines the robust adaptive neuro-fuzzy inference system (ANFIS) controller and Improved Particle Swarm Optimization algorithm (IPSO) model based on functional inertia weight. The controller is implemented

In the current scenario, mobile users are increasing exponentially in number. Thus, to achieve the guaranteed level of Quality of Service (QoS) for the maximum users, maximum bandwidth utilization is not the only key issue. Some different elements such as call blocking probability, interference, handover are also required to be taken into consideration as low performance of these elements may lead

An intelligent decision support secure diagnostic engine covers the complex processes of early diagnosis, proper collection and management of health records by supervising and managing multiple physiological parameters in real time. This system performs data processing over the secure encrypted wireless platform and generates warning flags when rules are violated. Provision of remotely accesses of

Pattern recognition, data mining and machine learning disciplines always work with a predefined dataset to create a hypothesis for an artificial decision support system. A dataset might occasionally be damaged due to various reasons. They might be subdivided for cross-validation to test an expert system performance. Some samples in the dataset might be deleted since they lose their importance. In addition

Brain tumor is an uncontrolled mass of tissues in the brain which originate due to mutated growth of tissues. Brain tumor has become a leading cost of death in modern day environment and researchers are inclined to find ways to mitigate the proliferation of this disease. A lot of methods have been applied in brain tumor detection ranging from image processing to signal based analysis. In this study

With the increased dependence on the internet for day to day activities, the need to keep the networks secure has become more vital. The quest of securing the computer systems and networks, from the users with destructive mindset, has resulted in the invention of surfeit devices and methods. One such method against whom the responsibility of discriminating between normal and harmful data, flowing on

Opportunistic network (OppNets) routing protocols are improved to run in a situation in which it does not present a consistent end-to-end communication. The investigators of the Delay Tolerant Networks (DTN) team had aimed at the performance of routing protocols which use “Store-Carry-Forward” method. Delay Tolerant Networks routing presumes that the node buffer is unlimited. Thus, the condition for

Sensor networks are an apt amalgamation of sensing, processing and communication. These networks are formed using tiny inexpensive sensor nodes which have the attributes of low processing power and short radio ranges. They steer themselves to numerous applications and at the same instance, encounter stark energy constraints and face scarce memory resources. The discerning personas of sensor networks