Improved Routing Protocol Based on Multiobjective Optimization in Industrial Robot Networks

This paper decomposes the routing process of industrial robot network using the application of analytic hierarchy process in decision-making. The influence of four factors, such as path length, data integrity, energy consumption, and receiving delay, on routing effect is analyzed. Simultaneous interpreting routes are selected to achieve the purpose of routing. Simulation results show that this method can more comprehensively consider the factors affecting routing and is superior to the existing methods in terms of energy consumption, data integrity, and transmission delay.

Data Augmentation Algorithm Based on Generative Antagonism Networks (GAN) Model for Optical Transmission Networks (OTN)

OTN (Optical Transmission Networks) is one of the mainstream infrastructures over the ground-transmission networks, with the characteristics of large bandwidth, low delay, and high reliability. To ensure a stable working of OTN, it is necessary to preform high-level accurate functions of data traffic analysis, alarm prediction, and fault location. However, there is a serious problem for the implementation of these functions, caused by the shortage of available data but a rather-large amount of dirty data existed in OTN. In the view of current pretreatment, the extracted amount of effective data is very less, not enough to support machine learning. To solve this problem, this paper proposes a data augmentation algorithm based on deep learning. Specifically, Data Augmentation for Optical Transmission Networks under Multi-condition constraint (MVOTNDA) is designed based on GAN Mode with the demonstration of variable-length data augmentation method. Experimental results show that MVOTNDA has better performances than the traditional data augmentation algorithms.

Influence of compost and irrigation systems on the growth indices and yield of onion (Allium cepa L.)

Field trial was conducted during the 2017 dry season from March to June at Bayero University, Kano and Birji village both in Sudan savannah to determine the effect of compost rates and irrigation intervals on the growth and yield of onion (Allium cepa L.) The treatments were conducted in five rates of compost (0 t ha-1, 5 t ha-1, 10 t ha-1,15 t ha -1 and 20 t ha-1) and three irrigation intervals (5, 10 and 15 days). The treatments were laid out in a split plot design and replicated three times. Irrigation intervals were assigned to the main plot while compost rates were assigned to the sub plot. The gross plot size was 1.5 m x 2.0 m (3.0 m2) consisting of 10 rows of 2 m length. Data on growth and yield parameters were collected, weighed and subjected to analysis of variance (ANOVA). Treatment means were separated using Student-Newman-Keuls Test. The result ssize was 1.5 m x 2.0 m (3.0 m2) consisting of 10 rows of 2 m length. Data on growth and yield parameters were collected, weighed and subjected to analysis of variance (ANOVA). Treatment means were separated using Student-Newman-Keuls Test. The result showed that compost rates and irrigation intervals had significant effect on cropgrowth rate, relative growth rate, net assimilation rate and cured bulb yield. Application of 10 t ha-1 of compost had the heaviest cured bulb yield. Interactions between compost rates and irrigation intervals were significant on all the measured parameters as well as the cured bulb yield of onion at both locations. The optimum rate of compost was 15 t ha1 at both locations, while that of irrigation intervals were 10 and 5 days for BUK and Birji village, respectively. Therefore, these levels were recommended to be used by farmers of the study areas.

Performance of Cryptographic Hash function used in Digital Forensic tools

Cryptographic hash functions are which transform any long message to fixed-length data. It seeks to ensure the confidentiality of the data through the cryptographic hash. The digital forensic tool is a method for extracting information from various storage devices, such as hard drives, memory. SHA-1 and SHA-2 methods are both widely used in forensic image archives. The hash method is usually used during evidence processing, the checking of forensic images (duplicate evidence), then at the completion of the analysis again to ensure data integrity and forensic evaluation of evidence. There was a vulnerability called a collision in the hashing algorithm in which two independent messages had the same hash values. While SHA-3 is secure than its former counterparts, the processors for general purposes are being slow and are not yet so popular. This task proposes a basic yet successful framework to meet the needs of cyber forensics, combining hash functions with other cryptographic concepts, for instance, SALT, such as modified secured hash algorithm (MSHA). A salt applies to the hashing mechanism to make it exclusive, expand its complexity and reduce user attacks like hash tables without increasing user requirements.

The Standard Deviation Structure as a New Approach to Growth Analysis in Weight and Length Data of Farmed Lutjanus guttatus

In the present study, size-at-age data (length and weight) of marine cage-reared spotted rose snapper Lutjanus guttatus were analyzed under four different variance assumptions (observed, constant, depensatory, and compensatory variances) to analyze the robustness of selecting the right standard deviation structure to parametrize the von Bertalanffy, Logistic, and Gompertz models. The selection of the best model and variance criteria was obtained based on the Bayesian information criterion (BIC). According to the BIC results, the observed variance in the present study was the best way to parametrize the three abovementioned growth models, and the Gompertz model best represented the length and weight growth curves. Based on these results, using the observed error structure to calculate the growth parameters in multi-model inference analyses is recommended.

A Data Set for US Horror Film Trailers

This article presents a new data set comprising audio, colour, motion, and shot length data of trailers for the fifty highest grossing horror films at the US box office from 2011 to 2015. This data set is one of the few available for computational film analysis that includes data on multiple elements of film style and is the only existing data set for motion picture trailers suitable for formal analyses. Data is stored in csv files available under a Creative Commons Attribution 4.0 International license on Zenodo: www.doi.org/10.5281/zenodo.4479068.

Postmortem Interval Estimation and Validation Through a Comparative Study of South American Flies Reared in the Field Versus Laboratory Conditions

Studies under constant temperatures are the most common to estimate the Postmortem Interval (PMI). It is imperative that forensic sciences have data from studies carried out in the field. Therefore, this work aims to: (1) evaluate the parameters (weight, length, development time) associated with the life cycles of Lucilia ochricornis (Wiedemann) (Diptera: Calliphoridae) and Lucilia purpurascens (Walker) under experimental conditions in the field considering fluctuating temperatures, and (2) compare these results with those known and published by the same authors for cultures realized in the laboratory under constant temperatures; which will permit us to contrast the most widely used existing methodologies for forensic application in estimating the minimum postmortem interval (PMImin). For each season of the year, cultures of both species were made in the field, collecting information on temperature, humidity, and photoperiod to perform laboratory cultures, later comparing: development time, length, weight, and Accumulated Degree-Hours (ADH) in both types of cultures. Methods for estimating the PMI were obtained and validated with the information of the cultures grown in the field. The two types of cultures showed differences between each other for both species. The forensic use methods to estimate PMI were enhanced and their precision increased when maximum larval length data were used, and it was also concluded that feeding larval stages are the most accurate to be used in making estimates because the larva is growing. The estimation of the PMI through the use of necrophagous flies development remains reliable for obtaining the PMImin.

COMPARISON OF MUSCLE LENGTH IN DOMINANT VERSUS NON-DOMINANT LOWER EXTREMITY IN YOUNG ASYMPTOMATIC INDIVIDUALS

Muscle length is the length where maximum amount of force a muscle is able to produce. This length is determined by the joint angle that corresponds to the muscle. Understanding the optimal muscle length as well as its comparison between the extremities is very important as a part of examination in physiotherapy. Ranges that are obtained of muscle length helps therapist to recognize individuals with reduced flexibility. Identification and knowledge of muscle length has several role including; evaluation of pre-competition risk for injury, decreased flexibility as an predictor of muscle injury and guides in determining interventional strategy plus training program for an individual. Objectives: To compare muscle length of rectus femoris, hamstring’s, iliopsoas, gastrocnemius in dominant as well as non-dominant side of young asymptomatic individuals in the age group of 18 to 25 years. Method: Through standard goniometer muscle length data was obtained between dominant, non-dominant lower extremity. The methods of assessment used were; active knee extension (AKE) tests the hamstrings length, Thomas and modified Thomas test had been used to evaluate iliopsoas and rectus femoris while prone, figure-four position accompanied by dorsiflexion utilized for gastrocnemius. Result: Values were calculated using goniometric measurements through the group mean values. There is statistically significant variation between the muscle length of hamstring, rectus femoris, iliopsoas and gastrocnemius between the dominant and non-dominant side (p<0.05). Conclusion: Along with data about lower limb muscle length of asymptomatic individuals, we conclude notable difference in dominant to non-dominant extremities muscle length in individuals eighteen to twenty five year.

Analysis and Recognition of Human Lower Limb Motions Based on Electromyography (EMG) Signals

Background: This paper focuses on the characteristics of lower limb EMG signals for common movements. Methods: We obtained length data for lower limb muscles during gait motion using software named OpenSim; statistical product and service solutions (SPSS) were utilized to study the correlation between each muscle, based on gait data. Low-correlation muscles in different regions were selected; inertial measurement unit (IMU) and EMG sensors were used to measure the lower limb angles and EMG signals when on seven kinds of slope, in five kinds of gait (walking on flat ground, uphill, downhill, up-step and down-step) and four kinds of movement (squat, lunge, raised leg and standing up). Results: After data denoising and feature extraction, we designed a double hidden-layer BP neural network to recognize the above motions according to EMG signals. Results show that EMG signals of selected muscles have a certain periodicity in the process of movement that can be used to identify lower limb movements. Conclusions: It can be seen, after the recognition of different proportions of training and testing sets that the average recognition rate of the BP neural network is 86.49% for seven gradients, 93.76% for five kinds of gait and 86.07% for four kinds of movements.

A Cooperative Management App for Parents with Myopic Children Wearing Orthokeratology Lenses: Mixed Methods Pilot Study

Orthokeratology (OK) lens wear is an effective modality to inhibit axial elongation in myopic children. Willingness for commitment from both parents and children contributes to the success of OK treatment. We aimed to develop and assess the usability of a mobile application on OK lens wear by quantitatively and qualitatively evaluating parents with myopic children and eye care professionals (ECPs). Moreover, the preliminary outcome was also evaluated in this study. The app was developed and tested using a co-design approach involving key stakeholders. Two prototype tests were conducted during the feasibility and utility assessment. The app features include self-reported compliance documentation, analytics, and personalized and generalized messages for compliance behaviors of OK lenses. After the trial period, the full usage of app functions ranged from 40% to 60% among the enrolled parents. After app implementation, the compliance with follow-up visits substantially improved. Qualitative data show that the high-satisfaction app functions reported by parents were the app’s reminder and axial length recording, although it was recommended that the number of compliance questions should be reduced to minimize the survey completion time. Additionally, who should complete the recording of the axial length data as well as the management and reminder for the follow-up visit remained controversial. This is the first app developed to improve parents of myopic children’s compliance with OK lens wear and to assist ECPs and parents in collaboratively monitoring and managing the use and care of OK lenses among myopic children. This study highlights the importance of interdisciplinary collaboration in the design, development, and validation of such an app.