An advanced deep learning model for maneuver prediction in real-time systems using alarming-based hunting optimization

The increasing trend of autonomous driving vehicles in smart cities emphasizes the need for safe travel. However, the presence of obstacles, potholes, and complex road environments, such as poor illumination and occlusion, can cause blurred road images that may impact the accuracy of maneuver prediction in visual perception systems. To address these challenges, a novel ensemble model named ABHO-based deep CNN-BiLSTM has been proposed for traffic sign detection. This model combines a hybrid convolutional neural network (CNN) and bidirectional long short-term memory (BiLSTM) with the alarming-based hunting optimization (ABHO) algorithm to improve maneuver prediction accuracy. Additionally, a modified hough-enabled lane generative adversarial network (ABHO based HoughGAN) has been proposed, which is designed to be robust to blurred images. The ABHO algorithm, inspired by the defending and social characteristics of starling birds and Canis kojot, allows the model to efficiently search for the optimal solution from the available solutions in the search space. The proposed ensemble model has shown significantly improved accuracy, sensitivity, and specificity in maneuver prediction compared to previously utilized methods, with minimal error during lane detection. Overall, the proposed ensemble model addresses the challenges faced by autonomous driving vehicles in complex and obstructed road environments, offering a promising solution for enhancing safety and reliability in smart cities

A Unified Model for Context-Sensitive Program Analyses: The Blind Men and the Elephant

Context-sensitive methods of program analysis increase the precision of interprocedural analysis by achieving the effect of call inlining. These methods have been defined using different formalisms and hence appear as algorithms that are very different from each other. Some methods traverse a call graph top-down whereas some others traverse it bottom-up first and then top-down. Some define contexts explicitly whereas some do not. Some of them directly compute data flow values while some first compute summary functions and then use them to compute data flow values. Further, different methods place different kinds of restrictions on the data flow frameworks supported by them. As a consequence, it is difficult to compare the ideas behind these methods in spite of the fact that they solve essentially the same problem. We argue that these incomparable views are similar to those of blind men describing an elephant called context sensitivity, and make it difficult for a non-expert reader to form a coherent picture of context-sensitive data flow analysis. We bring out this whole-elephant view of context sensitivity in program analysis by proposing a unified model of context sensitivity which provides a clean separation between computation of contexts and computation of data flow values. Our model captures the essence of context sensitivity and defines simple soundness and precision criteria for context-sensitive methods. It facilitates declarative specifications of context-sensitive methods, insightful comparisons between them, and reasoning about their soundness and precision. We demonstrate this by instantiating our model to many known context-sensitive methods

Niosome: The Magic Bullet

Target oriented drug delivery systems are the areas of the major interest in the modern pharmaceutical research. The selective drug delivery to the target tissues increases the therapeutic efficacy of the drug and reduces its undesirable effect to non target tissues.The concept of drug targeting or site specific drug delivery was introduced first time by Paul Elrich in 1909, when he reported magic bullet to deliver a drug to the desired site of action without affecting the non target organs or tissues (Juliano, 1980) by associating the drug with a pharmacologically “inactive carrier capable of conveying the drug selectively towards its target cells. Niosomes or nonionic surfactant vesicles are microscopic lamellar structures formed on admixture of nonionic surfactant of the alkyl or dialkyl polyglycerol ether class and cholesterol with subsequent hydration in aqueous media. In niosomes, the vesicles forming amphiphile is a nonionic surfactant such as span 60 which is usually stabilized by addition of cholesterol and small amount of anionic surfactant such as dicetyl phosphate. Niosomes can entrap both hydrophilic and lipophilic drugs, either in aqueous layer or in vesicular membrane made of lipid materials. It is reported to attain better stability than liposomes. It can prolong the circulation of the entrapped drugs. Because of the presence of nonionic surfactant with the lipid, there is better targeting of drugs to tumour, liver and brain. It may prove very useful for targeting the drug for treating cancers, parasitic, viral and other microbial disease more effectively. Key-Words: magic bullet, Target oriented drug delivery systems, inactive carrier, Niosome, site specific drug delivery, liposomes, cancers

Intelligent Way of Secure and Privacy Preserving Information Brokering

In recently large amount of information are collected in multiple organizations like health care organization, Law enforcement center, and government system. This needs of inter communication security through efficiently information sharing. Information Brokering System is collecting and re?distributing information among organization. Information brokering system fully trust on broker, who satisfied user requirement to find out particular data server without knowing address which contain data which user want. Large amount of detail data broker are collected from million providers authenticate user and routing the request to particular user. With increasing protection and privacy of data we introduce Preserve & secure privacy information brokering system. In that system fully trusted on broker we produce broker-coordinator overlay. The sensitive data encrypted before outsourcing user & data privacy. To enrich privacy used Cryptosystem with the use of Selective encryption using AES. We focused two types of privacy attacks namely inference attack and attribute-correlation attack. Solutions of this problem for preventing these attacks are automaton segmentation & segment encryption. By using these algorithm the PPIB system using web platform will require less time than Distributed PPIB. DOI: 10.17762/ijritcc2321-8169.15074

Prevalence and spectrum of hemoglobinopathies in tertiary care centre in a rural area of Madhya Pradesh

Background: Haemoglobinopathies like thalassaemia and sickle cell anaemia etc are increasing due to unawareness of rural population. This study indicates type of haemoglobinopathies amongst the patients of a rural based tertiary care hospital in one year and nine months.Methods: Five hundred ten patients were studied during last one year and nine month for all suspected cases of haemolytic anaemia based on Complete Blood Count, Red cell indices and Peripheral blood smear examination. Sickling test, test for Hb F and haemoglobin electrophoresis with quantification of bands are done in all these casesResults: Out of all 510 cases of anaemia 461 cases (90.39%) were confirmed to nonhaemolytic anaemia whereas 49 cases (9.60%) had shown abnormal haemoglobin bands on electrophoresis. Out of these 49 cases 29 (59.18%) were Males and 20 (40.81%) were females. Most common Haemoglobinopathy observed was Sickle cell b Thalassaemia 23 (4.50%) followed by b Thalassaemia Trait 9 (1.76%), Sickle Cell trait 7 (1.37%). b Thalassaemia Major 5 (0.98%) & Sickle Cell Disease 5 (0.98%) have equal prevalence. The onset of disease was most prominent in Neonatal to pediatric age group including early adolescent (0-18 years) followed by reproductive age group (19- 45 years). Few cases of old age (46+ years) were detected.Conclusion: Study provides data on the spectrum & pattern of Haemoglobinopathies in a rural tertiary care centre. Screening of all anemic patients should be done for Haemoglobinopathy and proper Genetic counseling must be given to all cases to prevent incidence of cases in future generation

Chemistry of extracting high-contrast invisible fingerprints from transparent and colored substrates using a novel phosphorescent label

Traditionally used fluorescent powders for developing invisible (latent) fingerprints involve complicated operation and show characteristics of auto-fluorescence interference and high toxicity. To overcome these serious drawbacks we report a novel application and facile methodology to extract high contrast fingerprints on non-porous and porous substrates using a chemically inert, visible light excitable, and nanosized SrAl2O4:Eu2+, Dy3+ phosphorescent label in the dark. The chemistry of non-covalent physisorption interaction between the long afterglow phosphor powder and sweat residue in fingerprints has been discussed in detail. Real-time fingerprint development on porous and non-porous substrates has also been performed

Structural, morphological, photoluminescence and electrical characterization of aluminium doped ZnO phosphors for solar cell applications

We report synthesis of highly luminescent and n-type conducting aluminium doped ZnO (AZO) phosphors using flux-free solidstate reaction technique followed by casting of thin films. The precursor powders were pelletized and fired at 1000 degrees C (AZO-1). In another typical case, 2-stage sequential firing has been adapted at 1000 degrees C followed by 1200 degrees C (AZO-2) in a flowing O2 gas environment. The stabilization (dwell) time has been fixed as 2 hours for all temperatures of firing in the furnace. After firing at 1200 degrees C, a new cubic phase (zinc aluminate) has been observed in the lattice along with the wurtzite ZnO phase. The microstructure analysis was substantiated with Rietveld refinement of the diffraction data of AZO-1 and AZO-2 samples. The photoluminescence (PL) measurements revealed that both AZO-1 and AZO-2 exhibited green (similar to 523 nm) PL under UV (375 nm) excitation, with emission intensity of AZO-1 comparatively higher than that of AZO-2 sample. Moreover, the measurement of electronic transport properties of the AZO-1 and AZO-2 samples exposed their n-type behavior, with slightly lower electrical resistivity of AZO-1 (4.7 x 10(-3)Omega-m) as compared to AZO-2 (3 x 10(-3)Omega-m) at 700 K temperature. The AZO samples have been used as target materials for transparent thin film deposition on quartz substrate, thus proving it to be ideal materials for solar cell applications