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AIP Conference Proceedings 2022年第1期2464卷

作者： R. Uma P. Ramkumar J. Anith Ruth R. Valarmathi 1Department of Computer Science and Engineering Sri Sairam Engineering College Chennai India 2Department of Computer Science and Engineering Sri Sairam College of Engineering Anekal Bengaluru India 3SRM Institute of science and Technology Vadapalani Campus Chennai India

The work utilizes the genome-wide association data sourced from subjects diagnosed with autism spectrum disorder (ASD) - Stage I and II. This system facilitates early and definitive prediction of autism to start intervention techniques at a young age. The Decision Tree model is used to classify the incoming gene-expression. Through the model selection stage, the performance of Decision-Trees and Random Forests was evaluated. This method of diagnosis, a combination of Machine Learning and Precision Medicine, ensures direct and a more conclusive diagnosis that can be adapted at feasible costs. The results are presented on a webpage using the Flask web framework.

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Interactions between invasive plants and heavy metal stresses:a review

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Journal of Plant Ecology 2022年第3期15卷 429-436页

作者： Jian Li Zhanrui Leng Yueming Wu Yizhou Du Zhicong Dai Asim Biswas Xiaojun Zheng Guanlin Li Esawy Kasem Mahmoud Hui Jia Daolin Du Institute of Environment and Ecology Institute of Environmental Health and Ecological SecuritySchool of the Environment and Safety EngineeringJiangsu UniversityZhenjiang 212013China Key Laboratory of Original Agro-Environmental Pollution Prevention and Control Ministry of Agriculture and Rural Affairs/Tianjin Key Laboratory of Agro-Environment and Agro-Product SafetyAgro-Environment Protection InstitutionMinistry of Agriculture and Rural AffairsTianjin 300191China Faculty of Engineering School of Computer ScienceUniversity of SydneyDarlingtonNSW 2008Australia School of Environmental Sciences University of GuelphGuelphON N1G 2W1Canada Department of Soil and Water Science Faculty of AgricultureTanta UniversityTantaEgypt

Global changes have altered the distribution pattern of the plant communities,including invasive *** contamination may reduce native plant resistance to the invasive ***,the focus of the current review is on the contaminant biogeochemical behavior among native plants,invasive species and the soil within the plant-soil ecosystem to improve our understanding of the interactions between invasive plants and environmental *** studies together with synthesis of the literature showed that(i)the impacts of invasive species on environmental stress were heterogeneous,(ii)the size of the impact was variable and(iii)the influence types were multidirectional even within the same impact ***,invasive plants showed self-protective mechanisms when exposed to heavy metals(HMs)and provided either positive or negative influence on the bioavailability and toxicity of *** the other hand,HMs may favor plant invasion due to the widespread higher tolerance of invasive plants to HMs together with the‘escape behavior’of native plants when exposed to toxic HM ***,there has been no consensus on whether elemental compositions of invasive plants are different from the natives in the polluted regions.A quantitative research comparing plant,litter and soil contaminant contents between native plants and the invaders in a global context is an indispensable research focus in the future.

关键词： environmental stresses heavy metals plant invasion biogeochemical cycle mechanisms

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Design of CMOS DC-DC converter for WSN/IOT applications

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AIP Conference Proceedings 2022年第1期2463卷

作者： Kumudham R. Sathish Kumar P. Rajendran V. V. Devi Gopi Krushna R. A. Sam Chelladurai S. 1Department of Electronics & Communication Engineering School of Engineering Vels Institute of Science Technology and Advanced Studies (VISTAS) Chennai India 2Department of Computer Applications Gurunanak College Chennai India

This paper proposed DC-DC converter with DT-CMOS Switch. The proposed circuit is designed for evaluating and compared with CMOS switch by both circuit simulation and device simulation. This DT-CMOS SWITCH reduces the output ripple and the conduction loss through a low on resistance. Therefore, proposed converter has excellent performance efficiency than converter with conventional CMOS switch. Simulations of eight phases phase locked loop circuit in 0.13 m standard CMOS technology reveal that the proposed charge pump circuit has given an input supply voltage of 1 V that has the output voltage of 6.7 V, which reaches the efficiency is 75%. Supplying a 5-mA load current maintains a power supply as well as 50 percent efficiency and a voltage output of above 5 volts. The proposed charge pump circuit employs body biasing and charge transfer switches to drastically reduce leakage while also increasing voltage. The result of simulation reveals that the proposed charge pump circuits perform better in terms of voltage pumping gain and power efficiency.

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Indian smart mobility ecosystem – Key visions and missions

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AIP Conference Proceedings 2022年第1期2555卷

作者： C. B. Prajeesh Anju S. Pillai 1Department of Computer Science and Engineering University Institute of Engineering Chandigarh University Mohali Punjab India 140413 2Department of Electrical and Electronics Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India 641112

This work investigates the trends and insights in future mobility and Indian mobility visions. With the rapid development and advancement in transport and allied sectors, the shape of future mobility is changing. The mobility solutions in urban and smart cities are flying with the wings of the recent advancement in transport sectors. This survey briefly touches the 7 C visions of Indian’s future mobility. The 7 C visions are Common, Connected technology, Convenient, Congestion free, Charged, Clean and Cutting Edge. The review continues with the study of trends and advancement in mobility system and various regulations and policies for electrification in future mobility. Electro mobility, autonomous vehicles, connected vehicles, shared mobility are the key sector which tends the mobility system as smart. To become the electrification in future mobility, it positively reflects in environment and reduces the consumption of crude oils. There is rapid growth in Internet of Things (IoT) technology and Artificial Intelligence (AI) and allied areas. The rapid advancement in these areas will help to integrate various technological sectors like connected, autonomous, and shared mobility with the electric vehicles and it will help the transport sector became green and smart in future.

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Resource-Efficient Real-Time Polarization Compensation for MDI-QKD with Rejected Data

arXiv

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arXiv 2022年

作者： Bedroya, Olinka Li, Chenyang Wang, Wenyuan Hu, Jianyong Lo, Hoi-Kwong Qian, Li Centre for Quantum Information and Quantum Control Dept. of Physics University of Toronto TorontoONM5S 1A7 Canada Centre for Quantum Information and Quantum Control Dept. of Electrical & Computer Engineering University of Toronto TorontoONM5S 3G4 Canada Department of Physics University of Hong Kong Pokfulam Hong Kong 100 College St TorontoONM5G 1L5 Canada

Measurement-device-independent quantum key distribution (MDI-QKD) closes all the security loopholes in the detection system and is a promising solution for secret key sharing. Polarization encoding is the most common QKD encoding scheme, as it is straightforward to prepare and measure. However, implementing polarization encoding in MDI QKD imposes extra challenges, as polarization alignment must be maintained over both mutually unbiased bases and be maintained for both paths (Alice-Charlie and Bob-Charlie). Polarization alignment is usually done by interrupting the QKD process (reducing overall key generation rates) or using additional classical laser sources multiplexed with quantum channels for polarization alignment. Since low key rates and cost are the two most pressing challenges preventing wide adoption of QKD systems, using additional resources or reducing key rates runs contrary to making QKD commercially viable. Therefore, we propose and implement a novel polarization compensation scheme in the MDI-QKD system that avoids the aforementioned drawbacks by recycling part of discarded detection events. Our scheme evaluates the polarization drift in real-time based on single measurements corresponding to decoy intensities. Our fully automated experimental demonstration maintains the average polarization drift below 0.13 rad over 40 km of spooled fibre (without an insulating jacket) for at least four hours. The average quantum bit error rate is 3.8%, and we achieved an average key rate of 7.45 × 10−6 bits per pulse. © 2022, CC BY.

关键词： Polarization

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Student procrastination analysis in virtual learning environments

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AIP Conference Proceedings 2022年第1期2433卷

作者： Manzoor Ahmed Hashmani Mehak Maqbool Memon Mansoor Ebrahim Kamran Raza Adnan Ashraf Arain 1Department of Computer and Information Sciences Universiti Teknologi PETRONAS Seri Iskandar Malaysia 2Faculty of Engineering Science and Technology Iqra University Karachi Pakistan 3Department of Computer Systems Engineering Mehran University of Engineering Technology Jamshoro Pakistan

With the increase in Massive Open Online Courses (MOOC) and Virtual Learning Environments (VLE), a general intuition about the student performance degradation is always attributed to the incorporation of technology in academic system. Procrastination is one of the perennial challenges faced by students that affects the overall academic performance. computer-based learning environments have enhanced the overall academic system, but it sometimes a challenge for students to stick to assigned tasks and avoid procrastination. This is a comprehensive study conducted to uncover students’ behavior based on their interactions with the VLE. Information of students from versatile educational arenas including science, technology, engineering, mathematics, and social sciences have been included to gain understanding of student behavior to classify student behavior as probable to procrastinate or not. The study uses different unsupervised machine learning techniques including k-means, mini-batch k-means, agglomerative and hierarchical clustering to identify the correlations. Astonishing facts revealed by the study, representing little to absolutely no correlation between the final scores and the activities performed while interacting with the computer-based learning environments. The study also emphasizes on the need of detailed logs of students’ activity and properly annotated data to get valued insights for procrastination and academic performance of an individual, which would be helpful to identify students at risk of adverse academic performances and would lead to assist such students to improve their performance before off-track.

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Processing big data applications with optimistic genetic algorithm based association rule mining

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AIP Conference Proceedings 2022年第1期2519卷

作者： Mulatu Gebeyaw Astarkie Bala Bhoomeshwar Endeshaw Admassie Sinishaw Balachandra Pattanaik 1Department of Information Technology Debre Tabor University Ethiopia 2Department of Computer Science Debre Tabor University Ethiopia 3Department of Electrical and Computer Engineering Wollega University Nekemte Ethiopia Africa

In detecting the relationship between data elements and multiple levels of abstractions, multi-level association rule mining plays a key role. To address this problem in literature, we have some search schemes such as FP-growth and Apriori. These search schemes face utmost computational cost when applied in big data sets for searching association rules. A novel genetic-based scheme with key modernizations enhances searching multi-level association rules. It minimizes the over computational cost in the script. As a first keynote, to detail, multi-level application data sets as domain knowledge category trees are used. A special tree encoding representation has been proposed as a second keynote using a category tree to prepare an experimental multi-level association mining algorithm. As the final and critical design part, an optimized genetic algorithm has been submitted, which minimizes the search space extremely in association rule and reduces the computational cost. Genetic Algorithm operators similar selection, crossover also mutation have been applied on association rules to predict strong association rules. This proposed scheme is used in big data applications, especially for mining multi-level association rules.

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RETRACTED ARTICLE: An evaluation of AI-based college music teaching using AHP and MOORA

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Soft Computing 2023年第2期28卷 689-689页

作者： Han, Xiao Chen, Fuyang Ullah, Ijaz Faisal, Mohammad College of Automation Engineering Control Science and Engineering Nanjing University of Aeronautics and Astronautics Nanjing China University of Rennes 1 Rennes France Department of Computer Science and Information Technology University of Malakand Chakdara Pakistan

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Piezoelectric finite-difference time-domain simulation of piezoelectric signals generated in cancellous bone by ultrasound irradiation

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Proceedings of Meetings on Acoustics 2022年第1期50卷

作者： Atsushi Hosokawa 1Department of Electrical and Computer Engineering National Institute of Technology Akashi College Akashi Hyogo 674-8501 JAPAN hosokawa@akashi.ac.jp

Bone formation can be driven by mechanical loads applied to the bone. By taking advantage of this mechanism, the accelerated healing of bone fracture using low-intensity pulsed ultrasound (LIPUS) has been medically practiced. Bone can behave as a piezoelectric material, and the piezoelectric effects are considered to accompany the bone formation. However, the piezoelectric properties in bone, particularly in cancellous bone with a porous structure, at ultrasound frequencies are too complex to easily clarify. In such a case, numerical simulations can be helpful because they enable visualization in the “black box”. Numerical simulations by an elastic finite-difference time-domain (FDTD) method have been widely performed to investigate ultrasound behaviors in bone. In this study, the elastic FDTD method with piezoelectric constitutive equations (PE-FDTD method) was used to simulate the piezoelectric signals generated in water-saturated cancellous bone by ultrasound irradiation. The cubic cancellous bone model was reconstructed from the X-ray microtomographic image. The piezoelectric signal waveforms when an ultrasound burst wave was irradiated in three orthogonal directions were calculated, together with the ultrasound signal waveforms propagated through cancellous bone. From the calculated results, the effect of the trabecular orientation was investigated.

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Pseudo number generation based on the knight tour in chess board

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AIP Conference Proceedings 2023年第1期2475卷

作者： Jamal Nasir Hasoon Ali Hussein Fadel Rasha Subhi Hameed Bashar Ahmed Khalaf 1Department Of Computer Science College Of Science Mustansiriyah University Baghdad Iraq 2Department Of Computer Science College Of Science Diyala University Diyala Iraq 3Department Of Computer Science College Of Education For Pure Sciences Diyala University Diyala Iraq 4Department Of Medical Instruments Engineering Techniques Bilad Alrafidain University College Diyala Iraq

The process of generating keys is an important topic in the field of information security and networks and there is a need to generate good keys that are not easily breakable. In this paper, a method is suggested for generating numbers based mainly on the movement of the knight tour in the chessboard and digital images. The generated keys used an image that could be found anywhere possible in mobile images or social media or websites. The image is taken and divided into blocks and then determine the primary path as well as Identifying possible knight tour movements with a condition not returning to the place in the track, the unused place in chessboard is merged at the end of the series for increasing randomness, as well as the exclusive or operation applied between the block and it's transposed before starting a movement. The results obtained show that the proposed approach can effectively produce pseudo-random numbers, high linear complexity, security properties, and good statistical. The quality measurement of the generated key is assigned using NIST tests, some of these tests are applied and passed the tests. It is possible to combine the method with other key generation methods such as future work.

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