Papers by Mohammad Anas Khan
Soft Computing
This article was submitted to be part of a guestedited issue. An investigation concluded that the... more This article was submitted to be part of a guestedited issue. An investigation concluded that the editorial process of this guest-edited issue was compromised by a third party and that the peer review process has been manipulated. Based on the investigation's findings, the
Indonesian Management & Accounting Research, Jan 3, 2012
2020 International Conference on Decision Aid Sciences and Application (DASA), 2020
Aircraft engines are a major contributor to the noise level these days. One way of decreasing the... more Aircraft engines are a major contributor to the noise level these days. One way of decreasing these levels is by using different shaped nozzles. The main aim of this research is to investigate the noise levels around an aircraft nozzle by including the chevron nozzle. Another aim of the research is to determine whether the changes in noise levels are linked to the velocities produced by the nozzles. The simulation involves analyzing two nozzles, one with V-shaped chevrons and the other with no chevrons. ANSYS CFD Fluent is used as means to simulate the conditions around a nozzle. The results obtained show that the V-shaped chevrons nozzle produced the lesser noise and the greater average velocity. Keeping the noise levels intact not only benefits the engine in a way but also keeps the noise pollution levels to a minimum.
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering), 2021
Power dissipation is an integral part of CMOS VLSI circuit design to optimize the battery and ext... more Power dissipation is an integral part of CMOS VLSI circuit design to optimize the battery and externally powered applications in embedded computing. With advances in new capabilities in related domains, new design mechanisms have evolved for ASIC, Semicustom, Custom and other classified design flows along with associated verification process targeting optimized solution based on power, performance and area parameters. Also, the development in low power hardware modeling and design techniques for high-performance low power applications has become an important area in VLSI and embedded system. The reduced-swing signaling, clock-powered logic, and stepwise charging techniques are important to design an energy-efficient system. This special issue on "Recent Trends in Low-Power VLSI and Embedded System" focuses primarily on the design techniques and algorithms that are presently being developed to reduce power consumption. Though we received numerous submissions for the thematic issue, we could finally select only seven of them after a rigorous review process. We are immensely thankful to the reviewers for their timely reviews and also to the authors for their scholarly contributions.
Expert Systems, 2021
The Internet of things (IoT) and communication technologies are enabling the consumer to use the ... more The Internet of things (IoT) and communication technologies are enabling the consumer to use the smart devices. The explosion of smart devices is shifting the IoT into a framework, which we call the cognitive IoT. The cognitive IoT can enhance many sectors such as smart cities, healthcare, industry 4.0, transportation, just to name a few. Most of the data produced in smart cities are wasted because the important information is not extracted due to lack of standard mechanism for knowledge extraction and archiving methods. This has attracted the attention of researcher to design new approaches of machine and cognitive learning that can handle vast amount of dynamic data. The cognitive smart city is the integration of IoT, smart city technology, real‐time big data analytics and artificial intelligence (AI) strategies for proactive actions. The services in smart cities relies on the collection and analysis of the data which are provided by the use themselves or accessed by the services ...
Soft Computing, 2021
Technological advances integrating emotional maturity with established IoT systems are being exam... more Technological advances integrating emotional maturity with established IoT systems are being examined with the emergence of the fourth industrial revolution. In this article, researchers propose an emotion-based music recommendation and classification framework (EMRCF) categorizing songs with high precision following individuals’ interpersonal team with memory and emotional songs. In specific, when adding new tunes to an IoT app fortune, methods must be developed that immediately categorize the characters based on people’s emotions . That’s one of the essential questions for project management. The empathic framework is used to research to identify emotional information. Musical characteristics can be derived from discussions in a micro-enterprise with the task force. Correlation analysis and supporting neural network is used to perform dynamic designation. The innovative prediction accuracy proposed recognizes most of the emotional responses triggered by music audience members and effectively categorizes songs. Furthermore, a comparison study is made with proposed algorithms such as decision trees, deep cognitive system and neighbor-closest, and relevance vector machines. The EMRCF reaches the prediction accuracy of 96.12% and the precision rate of 96.69%, which is not achieved by existing approaches.
IEEE Access, 2020
The Industrial Internet of Things (IIoT) can transform an existing isolated industrial system to ... more The Industrial Internet of Things (IIoT) can transform an existing isolated industrial system to a connected network. The IIoT and the related wireless connectivity requirements for industrial sensors are very significant. The deployed sensors in IIoT monitors the conditions of the industrial devices and machines. Therefore, reliability and security become the most important concerns in IIoT. This introduces many familiar and ever-increasing risks associated with the industrial system. The IIoT devices can be vulnerable to vast array of viruses, threats, and attacks. Therefore, an efficient protection strategy is required to ensure that the millions of IIoT devices are safe from these risks. However, resource constraint IIoT devices have not been designed to have effective security features. Due to this, in recent years, cloud, fog, and edge-based IIoT has received great attention in the research community. The computationally intensive tasks such as security, data analytics, decision making, and reporting are performed at the cloud or fog using a powerful computing infrastructure. The data security of the IIoT device has been provided by employing improved Rivest-Shamir-Adelman (RSA) and hash signatures. The proposed RSA algorithm has a four-prime number of 512-bits. The device authentication is performed by employing a hash signature. For long network life, an efficient clustering technique for the sensor devices which is based on node degree(N), distance from the cluster(D), residual energy(R), and fitness (NDRF) has been proposed. The fitness of the sensor nodes is computed using the Salp swarm algorithm (SSA). In order to reduce the latency and communication overhead for IIoT devices a resource scheduling using SoftMax deep neural network (DNN) is proposed. All the requests coming from the cluster head are classified using SoftMax-DNN for best resource scheduling on the basis of storage, computing, and bandwidth requirements. The proposed framework produces superior results, especially in terms of energy consumption, latency, and strength of security.
Cancers, 2021
Downregulation of the Let-7 family of microRNAs (miRNAs) has been reported in several cancers, in... more Downregulation of the Let-7 family of microRNAs (miRNAs) has been reported in several cancers, including breast malignancy; however, underlying mechanisms are not completely understood. Resistin is an important component of the tumor microenvironment, having a functional impact on the tumor cell phenotypes. Here, we examined the role of resistin in the regulation of Let-7 miRNAs and studied its downstream consequences. We found that resistin treatment led to the reduced expression of Let-7 family miRNAs in breast cancer (BC) cells, with the highest downregulation reported for Let-7a. Furthermore, resistin induced the expression of LIN28A, and its silencing abrogated resistin-mediated Let-7a suppression. Let-7a restoration or LIN28A silencing abolished the resistin-induced growth, clonogenicity, and sphere-forming ability of BC cells. Restoration of Let-7a also suppressed the resistin-induced expression of genes associated with growth, survival, and stemness. Pathway analysis suggest...
IEEE Transactions on Intelligent Transportation Systems, 2021
To meet the demands of massive connections, diverse quality of services (QoS), ultra-reliable and... more To meet the demands of massive connections, diverse quality of services (QoS), ultra-reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) communications, we propose non-orthogonal multiple access (NOMA)enabled small-cell IoV network (SVNet). We aim to investigate the trade-off between system capacity and energy efficiency through a joint power optimization framework. In particular, we formulate a nonlinear multi-objective optimization problem under imperfect successive interference cancellation (SIC) detecting. Thus, the objective is to simultaneously maximize the sum-capacity and minimize the total transmit power of NOMA-enabled SVNet subject to individual IoV QoS, maximum transmit power and efficient signal detecting. To solve the nonlinear problem, we first exploit a weighted-sum method to handle the multi-objective optimization and then adopt a new iterative Sequential Quadratic Programming (SQP)-based approach to obtain the optimal solution. The proposed optimization framework is compared with Karush-Kuhn-Tucker (KKT)-based NOMA framework, average power NOMA framework, and conventional OMA framework. Monte Carlo simulation results unveil the validness of our derivations. The presented results also show the superiority of the proposed optimization framework over other benchmark frameworks in terms of system sum-capacity and total energy efficiency.
Mathematics, 2021
This study aimed to present the design methodology of microjet heat sinks with unequal jet spacin... more This study aimed to present the design methodology of microjet heat sinks with unequal jet spacing, using a machine learning technique which alleviates hot spots in heat sinks with non-uniform heat flux conditions. Latin hypercube sampling was used to obtain 30 design sample points on which three-dimensional Computational Fluid Dynamics (CFD) solutions were calculated, which were used to train the machine learning model. Radial Basis Neural Network (RBNN) was used as a surrogate model coupled with Particle Swarm Optimization (PSO) to obtain the optimized location of jets. The RBNN provides continuous space for searching the optimum values. At the predicted optimum values from the coupled model, the CFD solution was calculated for comparison. The percentage error for the target function was 0.56%, whereas for the accompanied function it was 1.3%. The coupled algorithm has variable inputs at user discretion, including gaussian spread, number of search particles, and number of iteratio...
Computer Modeling in Engineering & Sciences, 2020
The novel coronavirus responsible for COVID-19 has spread to several countries within a considera... more The novel coronavirus responsible for COVID-19 has spread to several countries within a considerably short period. The virus gets deposited in the human nasal cavity and moves to the lungs that might be fatal. As per safety guidelines by the World Health Organization (WHO), social distancing has emerged as one of the major factors to avoid the spread of infection. However, different guidelines are being followed across the countries with regards to what should be the safe distance. Thus, the current work is an attempt to understand the virus deposition pattern in the realistic human nasal cavity and also to find the impact of distance that could be termed as a safety measure. This study is performed using Computational Fluid Dynamics as a solution tool to investigate the impact of COVID-19 deposition (i) On a realistic 3D human upper airway model and (ii) 2D social distancing protocol for a distance of 0.6, 1.2, 1.8, and 2.4 m. The results revealed that the regional deposition flux within the nasal cavity was predominantly observed in the external nasal cavity and nasopharyngeal section. Frequent flushing of these regions with saltwater substitutes can limit contamination in healthy individuals. The safe distancing limit estimated with 1 m/s airflow was about 1.8 m. The extensive deposition was observed for distances less than 1.8 m in this study, emphasizing the fact that social distancing advisories are not useful and do not take into account the external dynamics associated with airflow.
Journal of Education and Learning, 2020
Cross-cultural negotiation courses have been taught for many years both at graduate and undergrad... more Cross-cultural negotiation courses have been taught for many years both at graduate and undergraduate levels, using conventional pedagogical approaches such as classroom-based lectures, material readings, and paper-pencil based negotiation exercises. In the contemporary world of higher education, it is often expressed by the faculty that students show lack of enthusiasm, interest, and motivation to actively participate in such learning activities. Moreover, semesters after semesters faculty find students becoming less and less engaged in conventional learning activities. In this learning atmosphere, as teachers, we find it really challenging to create and maintain a minimum level of the required interest in students and motivate them to pay attention, ask questions, and participate actively in classroom sessions. Therefore, in this study we propose to the faculty who are teaching negotiation related courses to use software-based teaching strategy in order to engage students in a mor...
Computational Intelligence, 2020
The heterogeneous industrial Internet of things (HetIoT) is a recent area of research that can ch... more The heterogeneous industrial Internet of things (HetIoT) is a recent area of research that can change both our perception of fundamental informatics and the effectiveness of future machines. The HetIoT is rapidly used in a variety of industries, including healthcare smart cities, smart mobility, smart transportation, and advanced manufacturing. In industrial settings, outdated machines consume an inordinate amount of energy and time to produce effective output. The efficient functioning of the HetIoT machines plays a vital role in the industrial management. To demonstrate efficiency of the functioning, the continuous monitoring of machines becomes mandatory. To describe the efficiency of updated HetIoT machines, this article introduces the concept of advanced machine‐metameric dimension (AmD) to analyze efficacy, efficiency, and effectiveness. This article proposes a HetIoT framework to identify the real‐time resembling of continuous monitoring of a metameric dimension of the machin...
International Journal of Innovative Research and Growth, 2020
The research paper is directed to contemplatively evaluate the Impact of Electronic Commerce on t... more The research paper is directed to contemplatively evaluate the Impact of Electronic Commerce on the Accounting Information System, which is a case study on Oman Arab Banks Al-Arabi in Salalah. The researcher solicits the opinions of existing active users of Accounting Information System through appropriate statistical tools such as [SPSS & MS Excel 2010] to assess the impact of ecommerce on AIS. The result showed that most of the users of AIS have a view that electronic commerce can affect the AIS and helps Standard accounting methods to the control the risks. Most of the participants are aware of the role of
Zeitschrift für Naturforschung B, 1985
4-Methylcyclo-art-22-ene-3,25-diol was isolated from Euphorbia lactae and its structure identifie... more 4-Methylcyclo-art-22-ene-3,25-diol was isolated from Euphorbia lactae and its structure identified by elemental analysis, mass spectrometry and proton NMR spectroscopy.
IEEE Access, 2020
Mobile users are increasing exponentially to adopt ubiquitous services offered by various sectors... more Mobile users are increasing exponentially to adopt ubiquitous services offered by various sectors. This has attracted attention for a secure communication framework to access e-health data on mobile devices. The wearable sensor device is attached to the patient's body which monitors the blood pressure, body temperature, serum cholesterol, glucose level, etc. In the proposed secure framework, first, the task starts with the patient authentication, after that the sensors device linked to the patient is activated and the sensor values of the patient are transmitted to the cloud server. The patient's biometrics information has been added as a parameter in addition to the user name and password. The authentication scheme is coined with the SHA-512 algorithm that ensures integrity. To securely send the sensor information, the method follows two kinds of encryption: Substitution-Ceaser cipher and improved Elliptical Curve Cryptography (IECC). Whereas in improved ECC, an additional key (secret key) is generated to enhance the system's security. In this way, the intricacy of the two phases is augmented. The computational cost of the scheme in the proposed framework is 4H + Ec + Dc which is less than the existing schemes. The average correlation coefficient value is about 0.045 which is close to zero shows the strength of the algorithm. The obtained encryption and decryption time are 1.032 µs and 1.004µs respectively. The overall performance is analyzed by comparing the proposed improved ECC with existing Rivest-Shamir-Adleman (RSA)and ECC algorithms.
IEEE Access, 2020
Nowadays, heart disease is the leading cause of death worldwide. Predicting heart disease is a co... more Nowadays, heart disease is the leading cause of death worldwide. Predicting heart disease is a complex task since it requires experience along with advanced knowledge. Internet of Things (IoT) technology has lately been adopted in healthcare systems to collect sensor values for heart disease diagnosis and prediction. Many researchers have focused on the diagnosis of heart disease, yet the accuracy of the diagnosis results is low. To address this issue, an IoT framework is proposed to evaluate heart disease more accurately using a Modified Deep Convolutional Neural Network (MDCNN). The smartwatch and heart monitor device that is attached to the patient monitors the blood pressure and electrocardiogram (ECG). The MDCNN is utilized for classifying the received sensor data into normal and abnormal. The performance of the system is analyzed by comparing the proposed MDCNN with existing deep learning neural networks and logistic regression. The results demonstrate that the proposed MDCNN based heart disease prediction system performs better than other methods. The proposed method shows that for the maximum number of records, the MDCNN achieves an accuracy of 98.2 which is better than existing classifiers.
International Journal Of Community Medicine And Public Health, 2018
Background: Hearing impairment is avery complex phenomenon, which has many and serious consequenc... more Background: Hearing impairment is avery complex phenomenon, which has many and serious consequencesfor people and involves many factors and issues that should becarefully examined. The objective of the study were to estimate the prevalence of hearing impairment in the study population.Methods: Study design was a community based cross sectional study. Setting was on field practice areas of the urban and rural health training centers, Department of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh. No. of Participants was 422 study subjects age 18 and above 18 years; Systematic random sampling and proportionate to population size method (PPS). Statistical analysis was carried out using SPSS version 13; Chi-square.Results: Overall prevalence in present study population was found to be 23.1%. The prevalence in the rural areas (24.8%) was found to be higher than that of the urban areas (20.5%). The age specific prevalence showed that ...
Journal of Mechanical Science and Technology, 2019
An investigation of heat transfer in human head is carried out by using finite element method. Th... more An investigation of heat transfer in human head is carried out by using finite element method. The head is modeled with different tissues having varying physical properties. The current work is focused to simulate the effect of various physical and geometrical parameters such as ambient temperature, heat transfer coefficient and variation in the thickness of different tissue layers of human head. The effect of presence of hair on human head is also investigated. It is found that the deep brain temperature remains almost constant whereas a small variation occurs in the other layers with respect to varying environmental and geometrical parameters.
Advances in Science, Technology and Engineering Systems Journal, 2019
Nowadays over speeding is one of the most common traffic violations. Generally, over speeding is ... more Nowadays over speeding is one of the most common traffic violations. Generally, over speeding is the result of restless and bad behavior of drivers. As the accident rates are increasing it is important to develop and implement a system which can automatically detect and report over speeding to the traffic control authorities as early as possible. Nearly all the roads are marked with speed limits depending upon the size of moving vehicles and heaviness of traffic, but some drivers habitually ignore this speed limit. The advancement in technology has replaced most of the manual or semi-automatic systems with an automated system. To add on to various systems in place, this research is making the use of Internet of Things to detect and report over speeding of the vehicle on which the device has been preinstalled. IoT is a technique to integrate various devices to exchange data among themselves. This research proposes the design, development and functioning of a smart device that helps in automatically detect and report to competitive authority, when so ever the subject vehicle exceeds the speed limit. The device has been developed based on the Global Positioning System (GPS) Technology using Raspberry Pi hardware and Android OS and has been practically tested on real time basis by installing it in a car.
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Papers by Mohammad Anas Khan