Solar map of India under clear sky conditions

This paper focusses on generation of solar irradiation map under clear sky conditions using r.sun model. Direct Irradiation, diffuse irradiation and global irradiation maps are plotted using programme which was developed in C language. This programme calculates different components of solar irradiation using clear sky model (r.sun). Further Surfer software was used to plot different irradiation maps. All three values (Direct Irradiation, Global Irradiation and Diffuse Irradiation) were compared by IMD values for performing statistical analysis i.e. Mean Bias Error (MBE), Root Mean Square Error (RMSE) and standard deviation. MBE was found within ±10%, RMSE lies within <20% and standard deviation was found to have very low value which indicated good fitting between model results and calculated values. Therefore the r.sun model is good model and can be used for computing solar irradiation for India.     

Effect of a predetection open segment in the column on speed and selectivity in capillary electrochromatography

Columns in capillary electrochromatography (CEC) most commonly have the detection window located immediately after the retaining frit of the packed segment. Here, the properties of "duplex" columns having a predetection open segment between the frit and the detector window are examined with particular regard to the effect of the relative lengths of the packed and open segments on the separation of mixtures containing neutral and charged components. This configuration allows the use of columns with short packed segments in contemporary instruments for rapid separations. It is shown that, by varying the length of the packed segment, the balance of chromatographic and electrophoretic forces can be shifted, and the selectivity can be adjusted if the separation involves the interplay of both mechanisms. Expressions are presented for estimating the retention time in a duplex column if the chromatographic and electrophoretic properties of the sample components are known. The results are expected to facilitate CEC method development in selection of the respective column segment lengths for optimum separation.     

M-IDM: A Multi-Classification Based Intrusion Detection Model in Healthcare IoT

In recent years, the application of a smart city in the healthcare sector via loT systems has continued to grow exponentially and various advanced network intrusions have emerged since these loT devices are being connected. Previous studies focused on security threat detection and blocking technologies that rely on testbed data obtained from a single medical IoT device or simulation using a well-known dataset, such as the NSL-KDD dataset. However, such approaches do not reflect the features that exist in real medical scenarios, leading to failure in potential threat detection. To address this problem, we proposed a novel intrusion classification architecture known as a Multi-class Classification based Intrusion Detection Model (M-IDM), which typically relies on data collected by real devices and the use of convolutional neural networks (i.e., it exhibits better performance compared with conventional machine learning algorithms, such as naïve Bayes, support vector machine (SVM)). Unlike existing studies, the proposed architecture employs the actual healthcare IoT environment of National Cancer Center in South Korea and actual network data from real medical devices, such as a patient’s monitors (i.e., electrocardiogram and thermometers). The proposed architecture classifies the data into multiple classes: Critical, informal, major, and minor, for intrusion detection. Further, we experimentally evaluated and compared its performance with those of other conventional machine learning algorithms, including naïve Bayes, SVM, and logistic regression, using neural networks.     

Exploiting encrypted and tunneled multimedia calls in high-speed big data environment

Due to the rapid increase in the speed as well as the number of users over the Internet, the rate of data generation is enormously grown. In addition, at the same rate, the multimedia transmission especially the usage of VoIP calls is rapidly growing due to its cost effectiveness, dramatic functionality over the traditional telephone network and its compatibility with public switched telephone network (PSTN). In most of the developing countries, internet service providers (ISPs) and telecommunication authorities are concerned in detecting such calls to either block or prioritize commercial VoIP. Signature-based, port-based, and pattern-based detection techniques are inaccurate due to the complex and confidential security and tunneling mechanisms used by VoIP. Therefore, in this paper, we proposed a generic, robust, efficient statistical analysis-based solution to identify encrypted and tunneled voice media flows. We extracted six statistical parameters, which are extracted for each flow and compared with threshold values while generating a number of rules to identify VoIP media calls. The paper also offers a complete architecture that can efficiently process high-speed traffic in order to detect VoIP flows at real-time. The proposed system, including the architecture and the algorithm, can be practically implemented in a real environment, such as ISP or telecommunication authority’s gateway. We implemented the system using the parallel environment of Hadoop ecosystem with Spark on the top of it to achieve the real-time processing. We evaluated the system by considering 1) the accuracy in terms of detection rate by computing the direct rate and false positive rate and 2) the efficiency in terms of processing power. The result shows that the system has 97.54% direct rate and .00015% false positive rate, which are quite high. The comparative study proved that the proposed system is more accurate than the existing techniques.

     

The fine structure of bicomponent polyester fibers

The application of alkaline hydrolysis to study the change in the fine structure of bicomponent polyester fibers as their surface is removed progressively was explored. The samples were prepared with a poly(butylene terephthalate) (PBT) sheath and a poly(ethylene terephthalate) (PET) core. The reagent used to hydrolyze the PBT was 1M NaOH in 75/25 methanol to water since it appeared to react topochemically with the fiber. The solution reacted more rapidly with PET than with PBT. Thus, when necessary to retard the weight loss of the bicomponent fibers, after a 2‐h hydrolysis with this reagent to remove PBT, it was replaced with aqueous 1M NaOH solution containing 0.1% cetrimmonium bromide. Unlike homofil PET or PBT fibers, where alkaline attack appeared to be confined to the surface and left the residue relatively smooth, the bicomponent fiber was attacked unevenly, and penetration to the PET core occurred before all the PBT at the surface was removed. Nevertheless, most of the reaction was confined initially to the PBT sheath. The tenacity and extension at break of the PBT–PET fiber passed through a maximum as hydrolysis progressed. The fall in tenacity at high weight losses is ascribed to increasing surface defects in the fiber surface. After removal of the PBT by the hydrolysis, the birefringence of the residue became progressively higher. The synergistic effect of the PBT sheath on the properties of the PET core and the possible causes of the nonuniform hydrolysis at the PBT surface are discussed. An equation is proposed that includes an interaction parameter, which can be utilized to determine which property is affected most by the hydrolysis of a bicomponent fiber. In this instance, it appears from the parameters that the order is strength > extension at break ≈ birefringence. © 1999 John Wiley & Sons, Inc. J Appl Polym Sci 71: 1163–1173, 1999     

Wear Behavior of Cooling Slope Rheocast A356 Al Alloy

In the present study, the dry sliding wear behavior of rheocast A356 Al alloys, cast using a cooling slope, as well as gravity cast A356 Al alloy have been investigated at a low sliding speed of 1 ms^?1, against a hardened EN 31 disk at different loads. The wear mechanism involves microcutting–abrasion and adhesion at lower load for all of the alloys studied in the present work. On the other hand, at higher load, mainly adhesive wear along with oxide formation is observed for gravity cast A356 Al alloy and rheocast A356 Al alloy, cast using a 45° slope angle. Unlike other alloys, 60° slope rheocast A356 Al alloy is found to undergo mainly abrasive wear at higher load. Accordingly, the rheocast sample, cast using a 60° cooling slope, exhibits a remarkably lower wear rate at higher load compared to gravity cast and 45° slope rheocast samples. This is attributed to the dominance of abrasive wear at higher load in the case of rheocast A356 Al alloy cast using a 60° slope. The presence of finer and more spherical primary Al grain morphology is found to resist adhesive wear in case of 60° cooling slope processed rheocast alloy and thereby delay the transition of the wear regime from normal wear to severe wear.     

Expression of ribonucleolytic toxin restrictocin in Escherichia coli: purification and characterization

OBJECTIVES: To define the incidence and severity of ovarian hyperstimulation syndrome (OHSS) occurring in oocyte donors. METHODS: Women (n = 149) aged 31.3 +/- 4.8 years (mean +/- S.D., range 21-41 years) participated as designated oocyte donors and underwent 400 consecutive cycles of controlled ovarian stimulation using human menopausal gonadotropin following pituitary downregulation with gonadotropin-releasing agonist. Patients were monitored by serial transvaginal ultrasound examinations and serum estradiol (E2) determinations. Oocytes (15.6 +/- 7.5 per aspiration; range 2-57) were harvested by ultrasound-directed transvaginal follicle aspiration 36 h following the intramuscular injection of human chorionic gonadotropin (hCG). Follow-up examination occurred 1 and 2 weeks post-aspiration. RESULTS: On the day of hCG injection E2 levels ranged from 512 to 13,502 pg/ml (mean 2902.7 +/- 1486.9 pg/ml). Over the next few weeks the degree of hyperstimulation in donors was staged: mild 65% (grade I, n = 98; grade II, n = 162); moderate 33.5% (grade III, n = 120; grade IV, n = 14); severe 1.5% (grade V, n = 6; grade VI, n = 0). Associated preaspiration E2 levels were: grade I, 1120 +/- 424 pg/ml; grade II, 2084 +/- 613 pg/ml; grade III, 3785 +/- 1713 pg/ml; grade IV, 5370 +/- 1264 pg/ml; grade V, 4286 +/- 1100 pg/ml. Worsening OHSS was associated with increasing levels of E2. There were no serious complications and hospitalization was not required. All symptoms resolved within 30 days of aspiration, disappearing by the time of the first menstrual flow in women of grade-III or lower stage. CONCLUSION: Although oocyte donors commonly experienced exaggerated levels of serum E2 they rarely (< 2%) developed severe OHSS. This may be attributable to their lack of embryo transfer which avoids exacerbating the illness.