Miracle-dz/UniFAR-FTUs huggingface dataset:
Traffic optimization in IoT networks

Since the 2000s, the idea that the Internet could be used for machine-to-machine communication and process automation has emerged. Together with the development of electronic objects capable of communicating with IP protocols, this idea led to the concept of the Internet of Things (IoT Internet of Things). Nowadays, the evolution of networks is very intense. New networks are appearing, “all-optical” solutions in the heart of networks, “wireless” solutions to facilitate access to users or to implant sensors / actors in places difficult to access, or finally the Internet of communicating objects. In this evolution, new scientific issues and challenges are emerging. Some of the problems are related to the optimization of generated traffic as well as the improvement of the performance of tools and techniques. Often, these optimization problems lead to models using graphs. The analysis of optimization problems in networks is an important activity. IOT networks create more data traffic that is difficult to control within the operator’s network. The method given in this paper will help network operators optimize their networks and assist developers in improving hardware and software interactions to reduce data traffic in the network.
In Vitro Propagation of Resurrection Plant Selaginella pulvinata Using Frond Tips as Explants

The resurrection plant Selaginella pulvinata (Hook. & Grev.) Maxim is used as an ornamental and medicinal plant. It is also a good candidate for exploring the desiccation tolerance of resurrection plants. However, there is not an efficient propagation method for S. pulvinata. In the present study, we evaluated the establishment of in vitro propagation of S. pulvinata using frond tips as explants. The original shoot induction, adventitious shoot proliferation and plantlet growth media, and substrate type of plantlet acclimatization were investigated. The highest induction rate of original shoots (61.77 ± 5.17%) was obtained on half-strength (1/2) MS medium supplemented with 0.1 mg·L−1 N6-benzylaminopurine (BAP). The 1/2 MS with 1.0 mg·L−1 BAP was the most effective medium for the adventitious shoot proliferation. The quarter-strength (1/4) MS containing 0.1% (w/v) active charcoal (AC) was optimum for plantlets proliferated from adventitious shoots and plantlet growth. Approximately 98 plantlets could be obtained from one single original shoot via one-time shoot proliferation cultivation and plantlet cultivation. The acclimated plants on a 5:1 (v/v) mixture of peat and perlite had the highest survival rate (92.13 ± 1.67%). The acclimated plants maintained excellent resurrection ability.
A Case Study on the Assessment of Program Quality through CO-PO Mapping and its Attainment

: In recent years, accreditation of National Board of Accreditation has become mandatory for all the Autonomous colleges and Universities. NBA stresses on Outcome Based Education to improve the quality of education. It has formulated twelve graduate attributes to measure the quality of the program that a graduate has to acquire from any college/university during his four years of under graduation. The success of any program depends on the attainment of course outcomes and program outcomes. But there is a lack of understanding among the Engineering faculties in CO-PO attainment calculations. This study explores the significance of proper CO-PO mapping and its attainment calculation. CO-PO mapping and its attainment calculations are an integral part of OBE and it helps in continuous quality improvement, which serves as a feedback for OBE loop. CQI is instrumental in identifying any setbacks in Teaching Learning Process and additional solutions are figured out to improve the delivery of the course. In this study, different approaches are suggested to calculate the attainment of COs of the course and POs, PSOs of the program. Results and discussions are done on the attainment of COs of different courses and suggestions for the courses which fail to attain the target has been discussed. A sample of CO-PO attainment calculation for the course Basic Electrical Engineering offered for BTech I Year students has been discussed. Microsoft Office Excel spreadsheet has been used for computation purpose.
Fluid Resuscitation via Colon Alleviates Systemic Inflammation in Early Stage of Rats With Severe Acute Pancreatitis

Fluid Resuscitation Via Colon (FRVC) is a complementary therapy for severe acute pancreatitis (SAP) in early stage. The expression of intestinal dendritic cell-specific intercellular adhesion molecule 3-grabbing nonintegrin (DC-SIGN) has been found to regulate systemic inflammation. The present study aimed to investigate the effect of FRVC on the expression of DC-SIGN in the colon tissue of SAP rats and its effect on the early response of systemic inflammatory and multiple organ injury. SAP rats were induced by retrograding injection of sodium taurocholate into biliopancreatic duct. The expression of DC-SIGN was observed in the proximal and distal colons. Histological characteristics and inflammatory cytokines were examined to compare the effect of FRVC and intravenous fluid resuscitation (IVFR) treatment. The results showed that the expression of DC-SIGN in the proximal colon increased in a time-dependent manner in early stage of SAP rats. FRVC inhibits the expression of DC-SIGN in the proximal colon. Both FRVC and IVFR treatment alleviates histological injury of pancreas and colon. However, FRVC had an advantage over IVFR in alleviating lung injury and reducing Serum TNF-α, IL-6 and LPS. These results suggest that FRVC treatment might be helpful in suppressing systemic inflammation and preventing subsequent organ failure in early stage of SAP rats. The mechanism might be to inhibit the expression of DC-SIGN protein in the proximal colon.
Zero-stopping constraint-based hybrid tracking model for dynamic and high-dense crowd videos

ABSTRACT Owing to the importance of video surveillance in the public area, tracking finds significant applications using computer vision algorithms to observe the activity of human. In tracking, multi-object tracking is an active research to analyse and detect the activity of anomalies in the crowded scenes. Accordingly, different multi-object tracking algorithms are proposed in the literature to track the human behaviour of the crowded scenes. In this paper, we have presented a zero-stopping criteria-based hybrid tracking algorithm for high-dense crowd videos. Here, head objects are detected using the proposed objective function which considers both colour and texture property of videos. Then, tracking based on motion is performed using the proposed HSIM measure which includes structural similarity (SSIM) and the proposed similarity function. Along with, the data prediction model, exponential weighted moving average (EWMA), is also utilised to track the spatial location of human objects. These two tracking models are then hybridised to obtain the final tracked output. The experimentation is performed with three marathon sequences and the performance is evaluated with particle filtering-based algorithm using tracking number, tracking distance and optimal subpattern assignment metric (OSPA).
Video Tampering Detection Using Difference-Hashing Algorithm

Videos plays an important role in the judgement of many criminal cases. It can be considered as an evidence in every step in the criminal justice process. Since it is involved in the judgement, the integrity of the video is very much important. If anything gets tampered in the video, it leads to misconception in the process. Video tampering detection is a technique of finding whether the video content is modified or not. Alteration of video contents is rising speedily because of increasing video procurement gadgets and enormous programming devices to alter the video content. This integrity check can be done by either active or passive techniques. Along these lines our zone of worry in our research work is to display our perspectives on various passive video tampering detection techniques to check its correctness. Passive techniques are assembled into ensuing three arrangements relying upon the kind of counterfeiting. There are different methods to perform video tampering detection but passive methods prove more effective in terms of maintaining the originality of the video. Even in passive methods, hashing has been the sort after approach because of its accuracy and so we have adopted Difference hashing algorithm (D-Hash) to perform tampering detection.
Prediction of fishing vessel operation mode based on Stacking model fusion

Due to the continuous upgrading and optimization of fishing technology and tools, and the diversification of fishing vessel operation methods, marine fishery resources are continuously depleted. Precise prediction of the operation methods of marine fishing vessels is helpful to realize effective supervision of fishing behavior of fishing vessels. In order to improve the prediction accuracy, when doing feature engineering, this paper uses a vector encoding scheme based on trajectory sequence, and uses text vectors to train the word2vec model to calculate the embedding features of each position. At present, the single method needs to be improved in terms of forecasting accuracy. This paper proposes a forecasting method based on Stacking model fusion in order to further improve the forecasting accuracy of marine fishing vessel operations. The experimental results show that the Stacking fusion model using the vector coding scheme based on the trajectory sequence has a greater improvement in prediction accuracy than a single model.
Humidity and Moisture Degradation of Perovskite Material in Solar Cells: Effects on Efficiency

Humidity is the concentration of water vapor in air and moisture is the relatively small amount of water in a material. The two both have positive and negative influences on the development of perovskite solar cells. It is becoming increasingly clear that the effects of humidity will be a key factor to drive the commercialization of this promising new solar cell technology. The interface amid MAPbI3 and water vapor has been explored and studied by different researchers through optical absorption spectrometry, morphological and crystallographic studies. These studies have helped to demystify the complex interactions going on in the system. A particular study reported the possibility of a perovskite molecule forming a hydrate compound when exposed to H2O vapor in the dark coupled with its dissolution of MAPbI3. Some researchers have said that to improve the stability of this device in moisture. The device must be studied as a whole system rather than studying just the individual components. This review paper explores the works done on perovskite stability highlighting how humidity and moisture affect both the preparation and performance of perovskite material and perovskite solar cell.
Performance Degradation Prediction of IF Conversion Circuit Based on DE-GWO-SVM Model

Due to the complex structure, nonlinearity and tolerance of IF conversion circuit, the failure probability of IF conversion circuit is greatly increased. To solve the above problems, a differential evolution adaptive grey wolf algorithm (DE-GWO) was proposed to optimize the parameters of support vector machine model, and the model was applied to the fault diagnosis of IF conversion circuit for the first time. Firstly, the energy feature of the output signal of IF conversion circuit was extracted by wavelet packet decomposition, which effectively reduced the dimension of feature vector. Secondly, the improved grey wolf algorithm was used to optimize the parameters of SVM model and establish DE-GWO-SVM fault diagnosis model; Finally, taking the IF conversion circuit as an example, the fault diagnosis experiment was carried out and compared with other methods. Comparison results show that the fault diagnosis accuracy rate of this method reaches 97.33%. Compared with the traditional methods, this method can better improve the fault diagnosis rate and shorten the diagnosis time.
Flower image classification based on generative adversarial network and transfer learning

Aiming at the problem that the classification accuracy of the traditional flower classification method is low and the deep neural network requires a large amount of original data. This paper designs a flower classification model that combines generative adversarial network and ResNet-101 transfer learning algorithm, and uses stochastic gradient descent algorithm to optimize the training process of the model. The experimental results on the the international public flower recognition dataset, Oxford flower-102 dataset, show that by enhancing the original data, the accuracy of the network's recognition and classification of flowers is improved. At the same time, the model proposed in this paper is superior to other traditional network models, with higher recognition accuracy and robustness.
Optimised Genetic Algorithm Crossover and Mutation Stage for Vehicle Routing Problem Pick-Up and Delivery with Time Windows

Some problems happen in transportation and distribution. Vehicle Routing Problem (VRP) can be applied in some systems above. Deciding the optimal route for every vehicle will impact increasing economic interests and expected logistical planning results. This research will raise the problem of a shipping and logistics company. There are 45 branch offices with one main depot to serve a certain area that will be a transit point before all packages will be sent to the destination. The vehicle will depart from the depot to all branch offices to delivers and pick the package up at certain hours. In every route, planning should be considered to the amount of load when loading and unloading. Every vehicle has carrying capacity, and every branch office has various loading and unloading service time windows. Based on the problem’s description, this research was conducted to find the optimal solution in the Vehicle Routing Problem Pick-up and Delivery with Time Windows (VRPPDTW). An optimised genetic algorithm was developed to solve these problems by adjusting the crossover and mutation stages. The result informs that the route proposed from optimised genetic algorithms is better than the company’s existing route in all aspects. On the other hand, we carried out an analysis effect of the number of iterations on distance traveled, the number of penalties, and the fitness value. This algorithm can be applied in VRPPDTW and produces an optimal solution.
Digital Transformation and Environmental Sustainability: A Review and Research Agenda

Digital transformation refers to the unprecedented disruptions in society, industry, and organizations stimulated by advances in digital technologies such as artificial intelligence, big data analytics, cloud computing, and the Internet of Things (IoT). Presently, there is a lack of studies to map digital transformation in the environmental sustainability domain. This paper identifies the disruptions driven by digital transformation in the environmental sustainability domain through a systematic literature review. The results present a framework that outlines the transformations in four key areas: pollution control, waste management, sustainable production, and urban sustainability. The transformations in each key area are divided into further sub-categories. This study proposes an agenda for future research in terms of organizational capabilities, performance, and digital transformation strategy regarding environmental sustainability.
How online review richness impacts sales: An attribute substitution perspective

Richer forms of online reviews such as videos or follow‐on reviews convey ‘additional information and can attract consumers’ attention. However, prior studies focused mostly on the relationship between aggregated online reviews and sales. This paper investigates the impact of online review richness (i.e., reviews containing videos or follow‐on reviews) on sales. Leveraging attribute substitution theory, we conjecture that online review richness can provide heuristic cues in the online shopping environment to help consumers make better purchase decisions. Using data from JD.com, we found that reviews containing either videos or follow‐on reviews positively affect sales. In addition, different product types can also serve as heuristic cues to replace target cues, which can further affect how different forms of online review richness affect sales. We found that the impact of online review richness on sales is stronger for utilitarian products than for hedonic products, and stronger for negatively commented products than for positively commented products. Moreover, we conducted two online experiments and confirmed that the causal relationship is from online review richness to sales. The research findings offer practical implications for online retailers and constitute one of the first steps toward a better understanding of the relationship between online review richness and sales.
Feasibility of Objective Seabed Mapping Techniques in a Coastal Tidal Environment (Wadden Sea, Germany)

The growing interest in monitoring the marine environment has strongly encouraged governmental agencies and research institutes to undertake seabed mapping programs and stimulated scientific interest in innovative mapping methods and tools. In this study, object-based image analysis was used to map a very shallow tidal inlet, characterized by high sediment variability and intense morphodynamic processes. The aim was to test the feasibility of reproducible mapping approaches within extended mapping programs of complex coastal areas. The study is based on full-coverage, high-resolution bathymetry and reflectivity, calibrated by means of sediment samples. Seafloor segmentation and classification were based on a cluster analysis performed on reflectivity, slope, and ruggedness. Statistics of clusters were extracted and analysed to identify the optimal number of clusters and evaluate the suitability of the clustering process to differentiate different seabed types. Clusters and samples data were joined to create a training and validation dataset for characterizing the seabed and carrying out an accuracy assessment. Misclassifications were explored and referred to three main reasons: (i) The not-perfect correspondence between sediment boundaries of classification systems and boundaries derived from the clustering process; (ii) the geomorphological features of the seabed; and (iii) the position accuracy of samples. The study contributes to testing of the feasibility of objective methods and highlights the importance of joining acoustic, lithological, and geomorphological analysis. It highlights issues and the need to critically analyse the mapping results and improve the accuracy of collected data.
Transport property of inhomogeneous strained graphene

In analogy to real magnetic field, the pseudo-magnetic field (PMF) induced by inhomogeneous strain can also form the Landau levels and edge states. In this paper, the transport properties of graphene under inhomogeneous strain are studied. We find that the Landau levels have non-zero group velocity, and construct one-dimensional conducting channels. In addition, the edge states and the Landau level states in PMF are both fragile under disorder. We also confirm that the backscattering of these states could be suppressed by applying a real magnetic filed (MF). Therefore, the transmission coefficient for each conducting channel can be manipulated by adjusting the MF strength, which indicates the application of switching devices.
Association patterns of swollen‐thorn acacias with three ant species and other organisms in a dry forest of Panama

Ants in obligate defense mutualisms with plants protect them against potentially damaging organisms. In the swollen‐thorn acacias, organisms linked to the plant inform about the interaction between the tree and the resident ant colony. Some organisms coexist with the aggressive mutualistic ants: specialized herbivores and organisms using the enemy‐free space. Conversely, trees inhabited by non‐defending ants usually hold a greater load of generalist herbivores and are avoided by organisms looking for the ant protection. We aimed to elucidate the association type between swollen‐thorn acacias (Vachellia collinsii) and the almost unstudied Pseudomyrmex simulans ants from Panama. We compared the presence of non‐ant organisms on trees inhabited by P. simulans, a well‐known mutualist (P. spinicola) and a facultative parasite (non‐defending ants; Crematogaster crinosa). We recorded non‐ant organisms (e.g., stem galls, acacia true bugs, spiders) that nest, lay eggs, or live on the trees. Except for stem galls, all other non‐ant organisms were mostly or exclusively found on trees with the mutualists, which is also the most common resident ant. P. simulans is less able to deter galling midges (Cecidomyiidae) than C. crinosa and even less than P. spinicola, because trees with P. simulans were more likely to have galls and in greater densities than on C. crinosa‐trees, and even more than on P. spinicola‐inhabited trees. The mechanism by which the Cecidomyiids occur in greater proportion on trees with P. simulans and C. crinosa is still unknown, but the pattern indicates an herbivory specialization or a potentially obligate weaker defender of the swollen‐thorn acacias.
Electrophysiological correlates of the action vs. role relations congruencies in visually situated auditory sentence processing in Korean

ABSTRACT This study investigated brain responses to verbal action mismatches (e.g. The brother catches/*bites the sister) and role relation mismatches (e.g. The sister catches the brother ) in a picture-sentence verification task in Korean using event–related potentials (ERPs). EEG data collected from 30 native Korean speakers revealed a large N400 at the verb for the action mismatch, but an early negativity at the mismatched case-marker of the first NP as well as sustained negativity at the verb for the role mismatch. These results conform to the English-based data (i.e. Knoeferle et al., 2014. Different mechanisms for role relations versus verb–action congruence effects: Evidence from ERPs in picture–sentence verification. Acta Psychologica, 152, 133–148. https://doi.org/10.1016/j.actpsy.2014.08.004) in that the meaning of verb action and the thematic role relations involve different mechanisms in language comprehension. However, cross-lingustic differences were also found in terms of comprehenders’ relative sensitivity to different linguistic features in individual languages (e.g. word order in English and case-marking in Korean). Implications of the findings are discussed regrading predictive processing in language comprehension.