Aware Approach Research Articles

An Escalated Performance Aware Approach for Cumulative Effectiveness in Mobile Ad-Hoc Networks

In order to provide secure communication between mobile nodes in a hostile environment, security has become a top priority. There are a variety of nontrivial difficulties to security design in mobile ad hoc networks because of its unique properties, such as open peer to peer network architecture and shared wireless medium. Building multi-layered security systems that provide broad coverage while still delivering optimal network performance makes perfect sense in light of these problems. Specifically, in this study, we address the basic issue of maintaining the multi-hop network connectivity between mobile nodes in a Mobile Ad Hoc Networks (MANET). There are a number of security concerns that need to be addressed in order to safeguard the multihop wireless channel's MANET connection and network layer activities when delivering packets. We go through these difficulties and possible solutions in this paper. Complete security solutions should cover both layers and include the prevention, detection and response aspects of the three components of the security system. Providing secure communication between mobile nodes in a hostile environment has become a top priority. For example, the open peer-to-peer architecture, shared wireless medium, resource limits, and high dynamic network topology of mobile ad hoc networks provide a variety of nontrivial security design difficulties. The work integrates the effectual approach with the integrity and performance aware implementation for the Mobile Adhoc Networks.

Intelligent energy aware approaches for residential buildings: state-of-the-art review and future directions

Intelligent energy aware approaches for residential buildings: state-of-the-art review and future directions

E-Device Purchase and Disposal Behaviours in the UAE: An Exploratory Study

The United Arab Emirates (UAE) is one of the high-income countries in the Middle Eastern region and is vying for sustainable development in every sector. One of the UAE sustainable development goals is to ensure sustainable consumption and production patterns; hence, the emphasis is on circular economy. UAE is one of largest consumers of e-devices, and their proper disposal is of paramount importance. E-waste disposal awareness leads to better disposal behaviors. Therefore, the purpose of the study was to understand the e-device purchase and disposal behaviour among university communities in the UAE. A survey was conducted among the students and staff members of a federally funded university in the UAE, namely Zayed University, and quantitative methodology was adopted to analyze the collected data. The study found that 47.95% of respondents purchased mobile phones, and 65% of the respondents purchased 1–3 electronic devices every year. Through chi-square test, gender of the respondents was found to be related with e-device ownership. Through the analysis of variance (ANOVA), age and field of specialization were found to affect the knowledge about e-waste. Older and the respondents with science specialization were more aware about e-waste. Most of the respondents disposed e-devices, such as batteries, earphones/headphones, and electronic toys, along with the household trash. A very small percentage of respondents disposed e-devices such as laptops, phones, and tablets with the household trash. Mostly, these were either repaired, donated, or sold to second-hand users. Many respondents were neither aware of the government initiatives on e-waste collection nor participated in government-sponsored e-waste recycling. The study further identified that 67% of the respondents were aware of the toxicity of e-waste, and 61% of the respondents were keen to join e-waste recycling drives at university. The findings of the study imply that the policy makers need to incentivize e-waste-disposal systems and develop targeted awareness approaches to enhance e-waste disposal in the UAE.

Students’ Perceptions of Problem-Based Learning in Multidisciplinary Groups When Seeking to Solve an Engineering Grand Challenge

This paper presents findings from a small-scale research study eliciting students’ perceptions of benefits and challenges of working in interdisciplinary groups to solve an engineering challenge using problem-based learning. Penultimate and final year undergraduates and postgraduate MSc students in the School of Engineering and Physical Sciences at a Scottish university, studying Robotics, Mechanical, Chemical, Electrical and Software Engineering worked in interdisciplinary groups of five on a project to provide solutions to the United States National Academy of Engineering Grand Challenges (NAEGC). Students were surveyed twice, using closed and open questions before and towards the end of the project. Data were analysed using a thematic approach. Findings showed that most students saw benefits to problem-based working with students from other disciplines, citing increased awareness of approaches, future ‘real world’ professional preparation and efficiency in problem solving. However, challenges around scheduling meetings and concerns around cross-discipline collaboration indicate that universities should provide training for students before undertaking such problem-based projects, to ensure maximum educational benefits. In addition, greater emphasis needs to be put on students’ awareness of the added benefits of development of the ‘soft skills’ needed for future professional practice.

Shaping Behaviour as Proactive Approach for Awareness of Safety and Wellbeing Secondary Grade Curriculum

The Shyness, reluctance, hesitation, and unawareness hamper to react in a safe way and may cause causalities. Usually children between the age of 13 to 15 get involved in road accidents due to carelessness. Safety awareness reduces the chances of accidents and injury happenings. A sample of 200 students and 99 teachers from secondary level public schools was taken. In order to develop awareness among secondary school students, action oriented SW instructional methods through hands-on-activities, experiential learning, labs, weather safety precaution, fire, electricity safety, and ways to motivate students to protect themselves and conserve their wellbeing were used. By using valid and reliable survey questionnaire and observation protocol, perceptions about SW were assessed after interventions and prominent awareness and behavioural changes were declared such as reduced number of accidents and injuries. The results are useful for the school administration and teachers to reflect on the inclusion of safety and wellbeing activities.

Making space for plural ontologies in fisheries governance: Ireland\u2019s disobedient offshore islands

This paper contributes to the growing body of literature that engages with ontological scholarship on fisheries management and governance, and more generally, to debates on environmental governance. It argues that fisheries governance is an ontological challenge that raises questions of culture, equity, legitimacy and inclusion/exclusion, requiring more context-sensitive and politically aware fisheries governance approaches. By engaging with the concept of political ontology, and drawing from empirical research carried out in Ireland’s offshore islands, five ontological assumptions are identified that underpin Irish fisheries governance and management policies and practices and categorised as social-historical, ecological, geographical, technocratic and markets-driven. Articulating and examining these assumptions provide insights into why policy objectives aimed at supporting small-scale fisheries and their communities may, in practice, not be effective when they are operationalised within a governance paradigm designed around the realities of large-scale, full-time, highly mobile and more economically productive operators. Despite the efforts of ontologically disobedient islanders, the enactment of these ontological assumptions into the dominant world of fisheries governance inhibits the emergence of possible worlds that would enact Irish island inshore fisheries through island logics. The paper concludes that the squeeze on Ireland’s island inshore fishers is not simply spatial, it is ontological. A dominant fisheries ontology has been created by the interplay of ontological assumptions. This dominant ontology undermines the State’s critical policy to maintain and manage Irish fisheries as a public resource in order to avoid the concentration of fishing opportunities into the hands of large and powerful fishing interests.

An efficient virtualized network function deployment scheme for service function chain using deep Q‐network

SummaryVirtualized network functions (VNFs) are virtualized network services running on the network functions virtualization infrastructure in order to replace physical hardware. Integrating with software defined networking and network functions virtualization, internet service providers (ISPs) can chain VNFs together, called service function chain (SFC), to provide various network service demands with virtual links. Many studies have proposed for the VNFs deployment under different objectives, for example, energy, delay, quality of service (QoS), and quality of experience (QoE). From the aspects of both ISPs and customers, both energy consumption and QoE are the primary concerns for the purpose of operating expense reduction and users' satisfaction. This paper proposes a QoS/QoE/energy‐aware deep Q‐network (DQN)‐based scheme, called DQN‐QQE for VNFs deployment under the consideration of both energy consumption and QoE requirement with QoS constraints. The reward of the proposed scheme is formulated by the Weber‐Fechner law and the exponential interdependency of QoE and QoS (IQX) hypothesis. Afterwards, we compared the proposed DQN‐QQE to the QoS/QoE‐aware approach DQN‐Q2‐SFC, brute force, and randomness in terms of energy, QoE, error rate, and processing time. The simulation results revealed that DQN‐QQE is more stable and is better than DQN‐Q2‐SFC and randomness approach in terms of energy, QoE, and error rate. The average processing time and energy consumption of the proposed DQN‐QQE was 43% and 11% less than DQN‐Q2‐SFC, respectively. Although brute force approach is better than others in terms of energy, QoE, and error rate, the processing time of brute force approach is nearly 20 times larger than the proposed DQN‐QQE.

Novel Semantic-Based Probabilistic Context Aware Approach for Situations Enrichment and Adaptation

This paper aims at ensuring an efficient recommendation. It proposes a new context-aware semantic-based probabilistic situations injection and adaptation using an ontology approach and Bayesian-classifier. The idea is to predict the relevant situations for recommending the right services. Indeed, situations are correlated with the user’s context. It can, therefore, be considered in designing a recommendation approach to enhance the relevancy by reducing the execution time. The proposed solution in which four probability-based-context rule situation items (user’s location and time, user’s role, their preferences and experiences) are chosen as inputs to predict user’s situations. Subsequently, the weighted linear combination is applied to calculate the similarity of rule items. The higher scores between the selected items are used to identify the relevant user’s situations. Three context parameters (CPU speed, sensor availability and RAM size) of the current devices are used to ensure adaptive service recommendation. Experimental results show that the proposed approach enhances accuracy rate with a high number of situations rules. A comparison with existing recommendation approaches shows that the proposed approach is more efficient and decreases the execution time.

Burden of Congenital Haemolytic Anaemias among the Rural Paediatric Population of Central India

Introduction: Childhood anaemia may be caused due to many factors, including malnutrition, chronic infections, deficiency of iron and vitamins, parasitic infections. On haematological work up the most common finding is microcytic hypochromic anaemia. Inherited defects in Red Blood Cell (RBC) and haemoglobin structure and metabolism result in congenital haemolytic anaemia. About 4.2% of all paediatric microcytic anaemias are diagnosed with haemoglobinopathies. Thalessaemia and other haemoglobinopathies have a large representation in the Indian subcontinent. A study of the extent of these hereditary anaemias will help in formulating a targeted approach of spreading awareness and educating couples in target population, who are planning conception. Aim: To comprehend the incidence of congenital haemolytic anaemias in the paediatric population of central India, and to evaluate their clinico-haematological status. Materials and Methods: This cross-sectional observational study was conducted in the Paediatric Anaemia Clinic at Chirayu Medical College and Hospital (teaching, tertiary care hospital), Bhopal, Madhya Pradesh, India, from January 2021 to December 2021. All relevant details regarding clinical history, consanguinity, family history of the patients were recorded. Investigations done included-complete blood count, reticulocyte count, sickling test, Naked Eye Single Tube Red Cell Osmotic Fragility Test (NESTROFT) and High Performance Liquid Chromatography (HPLC). All the relevant data collected was entered into Microsoft Excel and frequency, distribution, standard deviation were analysed and calculated. Results: Amongst the total 1080 cases of microcytic hypochromic anaemia in the Paediatric Anaemia Clinic, there were 55 cases of congenital haemolytic anaemias. Of these 55 cases of congenital haemolytic anaemias, there were 41 (74.54%) cases of thalassaemia (four major and 37 minor thalassaemia), 11 (19.9%) cases of sickle cell anaemia, 1 (1.81%) case of Hereditary Persistence of Foetal Haemoglobin (HPFH) and 2 (3.63%) cases of Haemoglobin J variant (HbJ). The haemoglobin values were the lowest in the β-thalassaemia major patients, followed by sickle cell disease. Foetal Hb (HbF) was highest in β-thalassaemia major at and the HPFH case had foetal haemoglobin of 35%. Conclusion: In the current study, 5.09% of the paediatric population presenting to the clinic were diagnosed with congenital haemolytic anaemias, with major representation of β-thalassaemia, followed by sickle cell trait. This lifelong burden of haemolytic anaemias on the children and their families may be reduced by active counseling and awareness programs.

A Security Situation Awareness Approach for IoT Software Chain Based on Markov Game Model

A Security Situation Awareness Approach for IoT Software Chain Based on Markov Game Model

Scale-Aware Cascading for Semantic Segmentation

Semantic segmentation is an important technology commonly used in medical imaging, autonomous driving vehicles, and backgrounds for virtual meetings. Scale Aware approaches have become the standard when it comes to the semantic segmentation domain of Machine Learning. Multiple image scales are passed through the network allowing the result to use the regular CNN layers such as max-pooling as well as convolution layers. Also, a cascading hierarchy of attention has been shown to improve the accuracy of models for such segmentation tasks. The combination of both these approaches has been shown to greatly improve the accuracy of such models. A side effect of using the cascading approach is that the model turns out to use less memory in comparison to previous approaches. Auto-labelling engines are also helpful in generalizing the model further. The cityscapes dataset used here is a useful data bank as it consists of a myriad of situations where the model can be trained and tested on. This paper presents the tested results of such a segmentation model and incremental modifications to the model pipeline to understand and improve upon the existing architecture.

Spectrum Sensing Using Software Defined Radio for Cognitive Radio Networks: A Survey

Cognitive radio (CR) network has emerged as a potential solution to the under-utilization problem of the allocated radio spectrum, where spectrum sensing (SS) plays a key role to enable the coexistence between primary and secondary users. It has attracted research interests, and several works have been reported in the literature. Nevertheless, the assumptions and simplifications introduced during the modeling of the communication system often yield misleading conclusions each time relevant aspects of their implementation on a testbed are omitted. Hence, prototypes are built to study their behaviour under real-world conditions, therefore software defined radio (SDR) has emerged as an ideal vehicle to allow researchers to experiment with prototypes of these CR approaches. In this survey, we provide an overview of the latest works in CR networks related to the spectrum awareness approaches and taking into account their implementation on testbeds. These approaches are classified from a practical point of view, where a detailed review of the existing works for each category is provided. A review of the existing SDR platforms is also exposed highlighting the main components and features of current architectures employed for experimental evaluation of CR approaches. Next, the challenges to implement current spectrum awareness approaches on SDR platforms are detailed. Finally, at the light of these reviews, research challenges and open issues are identified for future research directions.

Enhanced Ant Colony Optimization for Routing in WSNs An Energy Aware Approach

Enhanced Ant Colony Optimization for Routing in WSNs An Energy Aware Approach

Strategies and Approaches in Teaching Values Education Among Public Secondary School In The Division Of Zambales


 ABSTRACT
 
 The research aimed to look into the strategies and approaches in teaching values education among public secondary schools in the Division of Zambales, SY 2020-2021. The researcher used the quantitative descriptive-survey research design with questionnaire as the main instrument in gathering data from the population of three hundred (300) values educational teacher.
 The study revealed that the majority of Values Education teachers are female. The teachers always used Inculcation Approach as strategy in teaching Values Education. The respondents strongly agreed that the strategies in teaching Values Education was the most difficult dimension in teaching Values Education. There is significant differences on age and religious affiliation towards inculcation approach and significant on age towards Awareness Approach. No significant differences on moral reasoning approach, value clarification approach and evocation approach. Moreover, it was found that there is significant difference on age towards difficulty on contents while no significant differences on strategies and assessment respectively. There is negligible relationship between the academic performance and the strategies and approaches used in teaching values education. There is negligible relationship between the academic performance and the difficulties in teaching Values Education.
 The training design is hereby proposed entitled: Training Design in Values Education on Teaching Strategies and Approaches Amidst COVID 19-Pandemic.
 Based on the salient findings, the researcher recommended that head teachers and teachers in Values Education should make innovations on how Inculcation Approach in teaching the subject be more useful and effective; head teachers, principals, education specialist on Values Education of Division of Zambales may focus their In-service Trainings ways how teachers enhance the utilization and effectiveness of approaches; the teachers should look and utilize suitable techniques for Inculcation, Moral Reasoning, Awareness, Value Clarification and Evocation approaches; and head teachers and teachers are encouraged to attend national and international trainings and seminars for better understanding and improved skill in selecting appropriate strategies, on the development of learning content and assessment procedures in Values Education.

The use of ‘well’ in spoken interaction

In this study the use of "well" as a discourse marker is analysed in sixteen episodes of a television series and in two English language textbooks to illustrate what communicative language teaching can get from work on discourse analysis. Results of the analysis show that the meaning of well as a mainly interactive device signalling acceptance due to modification is present both in television series and in textbooks. However, the analysis also shows an absence of inductive and language awareness approaches to focus learners’ attention on the interactive features of “well” as a discourse marker. Further research is needed in different languages to understand the meaning and use of discourse markers and the implications of these analyses for language teaching.

Cybersecurity awareness for children: A systematic literature review

Cybersecurity for children has received much attention and has become a rapidly growing topic due to the increased availability of the internet to children and their consequent exposure to various online risks. This paper aims to summarize the current findings on cybersecurity awareness research for children and help guide future studies. We have performed a systematic literature review on cybersecurity awareness for children, analyzing 56 peer-reviewed studies that report in depth on various cybersecurity risks and awareness-raising approaches. The results of this review include a list of cybersecurity risks for children, a list of commonly used approaches and theories for raising cybersecurity awareness among children, and a list of factors that researchers have considered when evaluating cybersecurity awareness approaches and solutions.

Pendekatan Pembinaan Karakter Siswa Melalui Program Diniyah MIN 1 Banda Aceh

The Diniyah program is one of the programs initiated by the Banda Aceh City government to assist schools in internalizing the value of Islamic education to students. Through this program, it is hoped that there will be improvements in student behavior or character in the future. The research objective was to see how the implementation, approaches, opportunities, and challenges of character building for students at MIN 1 Banda Aceh. This study used a qualitative approach with the research subjects of the head, teachers, and students of MIN 1 Banda Aceh. Data collection was carried out by means of observation, interviews, and documentation. The results showed that the stages of the Diniyah program implementation were carried out through a) Al-Qur'ān reading and writing program, b) Increasing memorization and muraja'ah, c) Increasing daily prayer memorization programs, d) Increasing understanding of the contents of the book, e) Increasing the understanding student worship, f) increasing student moral development, which is carried out in the classroom and outside the classroom. The approaches taken include a) awareness approach, b) habituation, c) modeling. There is an opportunity for students to have the maximum time to complete the character-building program properly and schools can improve the quality of the school for the better. The challenges include lack of family support, environment, student readiness, lack of facilities, and several other internal school conditions.

Optimization of heterogeneous systems with AI planning heuristics and machine learning: a performance and energy aware approach

Heterogeneous computing systems provide high performance and energy efficiency. However, to optimally utilize such systems, solutions that distribute the work across host CPUs and accelerating devices are needed. In this paper, we present a performance and energy aware approach that combines AI planning heuristics for parameter space exploration with a machine learning model for performance and energy evaluation to determine a near-optimal system configuration. For data-parallel applications our approach determines a near-optimal host-device distribution of work, number of processing units required and the corresponding scheduling strategy. We evaluate our approach for various heterogeneous systems accelerated with GPU or the Intel Xeon Phi. The experimental results demonstrate that our approach finds a near-optimal system configuration by evaluating only about 7% of reasonable configurations. Furthermore, the performance per Joule estimation of system configurations using our machine learning model is more than 1000 times faster compared to the system evaluation by program execution.

The Effectiveness of Acceptance and Commitment-Based Therapy on the Immune Function and Activity Limitations in Patients With Irritable Bowel Syndrome

Introduction: Irritable bowel syndrome is the most common, costly, and disabling dysfunction of the gastrointestinal tract. Mental disorders can be one of the main factors in the onset, continuation, or exacerbation of gastrointestinal signs and symptoms in people with this syndrome. Commitment and acceptance therapy is a mixture of four approaches of awareness, acceptance, commitment, and behavior change, and its overall goal is to achieve psychological flexibility to move towards thought-based behavior. This treatment focuses less on reducing symptoms and more on improving the quality of life. Objective: This study aimed to determine the effectiveness of acceptance and commitment-based therapy on the immune function and activity limitations in patients with irritable bowel syndrome. Materials and Methods: This study was a quasi-experimental research with a pre-test, post-test design and a control group. Thirty patients with irritable bowel syndrome were randomly selected from those referred to a hospital clinic in Tabriz City, Iran. They were randomly divided into the intervention and control groups (15 in each group). The intervention group received acceptance and commitment group therapy for 8 sessions, while the control group did not receive any intervention. Both groups were assessed before and after the intervention, and in the follow-up phase using the activity limitations subscale of quality of life questionnaires (to measure activity limitations) and stool calprotectin test to assess safety performance. Data analysis was performed using descriptive statistics indices (mean and standard deviation) and analysis of variance with repeated measures, Bonferroni test, and analysis of covariance to test the study hypotheses. Results: The Mean±SD age of the intervention group was 34.53±18.38 years, and the Mean±SD age of the control group was 42.80±17.97 years. The significance levels of Levene’s and the Shapiro-Wilk test for all variables were greater than 0.05. Based on the results, the Mean±SD score of the activity limitations variable in the intervention group was 7.53±4.24 in the pre-test, 17.66±3.41 in the post test, and 17.26±3.65 in the follow-up. According to the results, activity limitations (P=0.027) and safety performance (P=0.034) were significantly different before and after the intervention. Conclusion: The present study’s findings show that acceptance and commitment-based therapy can play an influential role in improving patients’ immune function and promoting their activity limitations. Therefore, this treatment is recommended as a complementary therapy in patients with irritable bowel syndrome.

Dynamic Topology Awareness in Active Distribution Networks Under DG Uncertainties Using GMM-PSEs and KL Divergence

The frequent switching operations and triggering events of automation devices are poorly documented in distribution management systems, leading to challenging work regarding the timely detection of system state changes. Additionally, the limited measurements in distribution networks and the randomness of plug-and-play devices make obtaining real-time observations of system states difficult. Furthermore, distributed generation (DG) output uncertainties exacerbate the situation. Thus, we propose a dynamic topology awareness (DTA) approach to make judgments regarding operational states and identify all possible topology changes (including normal operations, islanding and outages) in the absence of real-time DG measurements. The method consists of two steps. The first step applies parallel Gaussian mixture model-based probabilistic state estimators (GMM-PSEs) of subareas and extended subareas to calculate the probability distributions of border bus voltages with full consideration of DG uncertainties. The second step utilizes the Kullback-Leibler (KL) divergence measure to evaluate the difference between the two probability distributions estimated by subareas and extended subareas, thereby obtaining an indicator (average KL divergence) for identifying possible topologies. The effectiveness of the proposed method is examined on the IEEE 33-bus and IEEE 123-bus test cases. It is computationally efficient and accurate when identifying all possible topologies under limited measurements and DG uncertainties.