Emergence of the fuzzy horizon through gravitational collapse

For a large enough Schwarzschild black hole, the horizon is a region of space where gravitational forces are weak; yet it is also a region leading to numerous puzzles connected to stringy physics. In this work, we analyze the process of gravitational collapse and black hole formation in the context of light-cone M theory. We find that, as a shell of matter contracts and is about to reveal a black hole horizon, it undergoes a thermodynamic phase transition. This involves the binding of D0 branes into D2's, and the new phase leads to large membranes of the size of the horizon. These in turn can sustain their large size through back-reaction and the dielectric Myers effect - realizing the fuzzball proposal of Mathur and the Matrix black hole of M(atrix) theory. The physics responsible for this phenomenon lies in strongly coupled 2+1 dimensional non-commutative dynamics. The phenomenon has a universal character and appears generic.Comment: 24 pages, 4 figures; v2: minor clarifications, citations adde

OTKRIVANJE I KLASIFIKACIJA BOLESTI USJEVA NA TEMELJU INFORMACIJSKOG HIBRIDNOG PRISTUPA

The objective of this paper to identify the diseases in the leaves of the all plants. Plant disease diagnosis helps to improve both the quality and quantity of crop productivity. In existing, to detect the diseases they used the spectroscopic techniques. These techniques are very expensive and can only be utilized by trained persons only. This work proposes an approach for the detection of leaf diseases based on the characterization of texture, shape and color properties. The detection of diseases which are detected using ISRC(improved sparse Representation Classifier) technique. First the GENABC clustering approach is applied to the input image to segment the affected area. Then extract the features from the affected area by using feature extraction techniques. In this paper Improved Transform Encoded Local Pattern used to extract the texture feature, Enhanced Gradient Feature (EGF) to extract the shape and Improved Color Histogram Techniques(ICH) are used to extract the color. And then these features are given to the ISRC classifier to get the exact type of disease on affected leaves. To analyze the performance of the proposed method we use four metrics. They are classification accuracy, error rate, precision value and recall value. From the analysis of experimental results, the ISRC method provides the best result than the existing approach.Cilj ovog rada je identificirati bolesti u listovima svih biljaka. Dijagnoza biljnih bolesti pomaže poboljšati kvalitetu i količinu produktivnosti usjeva. Za otkrivanje bolesti koriste se spektroskopske tehnike. Te tehnike su vrlo skupe i mogu ih koristiti samo obučene osoba. Ovaj rad predlaže pristup za otkrivanje bolesti listova na temelju karakterizacije svojstava teksture, oblika i boja. Otkrivanje bolesti koje se detektiraju uporabom ISRC tehnike. Najprije se primjenjuje GENABC klastering pristup na ulaznu sliku za segmentiranje pogođenog područja. Zatim se ekstrahiraju značajke sa zahvaćene površine pomoću tehnika ekstrakcije značajki. U ovom se radu koristi poboljšana transformirana enkodirana lokalna shema koja se koristi za izdvajanje značajki teksture, poboljšane značajke gradijenata (EGF) za izdvajanje oblika i poboljšane tehnike hektologije boja (ICH) za izdvajanje boje. Zatim se ove značajke daju ISRC klasifikatoru kako bi dobili točnu vrstu bolesti na zahvaćenom lišću. Za analizu izvedbe predložene metode koristimo četiri metrike. To su točnost klasifikacije, stopa pogrešaka, preciznost i vrijednost opoziva. Iz analize eksperimentalnih rezultata ISRC metoda daje bolji rezultat od postojećeg pristupa

Report of Acoustic Test on PSLV IS.1/2L Structure

The results of acoustic conducted on PSLV IS.1/2L at Acoustic Test Facility are briefly given. It contains test set up, Instrumentation details and tables of spectral response

Inheritance studies through generation mean analysis for quantitative traits in soybean (Glycine max (L.) Merrill.)

Most of the economically important traits in soybean are quantitatively inherited. The generation mean analysis involving a five-parameter model was carried out in four crosses, viz., Pratap Soya- 2 × LP 5-2, Co 3 × LP 5-2, Co 3 × LP 5-1 and Co 3 × LP 13-1 to investigate additive, dominance and epistatic variance. Therefore, F1, F2 and F3 generations of the above four crosses were evaluated along with their respective parents to estimate the gene action for eleven quantitative traits through generation mean analysis, which provides information about all the gene interactions. The crosses Co 3 × LP 5-1 and Co 3 × LP 13-1 for plant height, Pratap Soya-2 × LP 5-2 for protein content and Co 3 × LP 5-2 for both oil content and seed yield per plant exhibited the adequacy of the additive dominance model. The remaining crosses exhibited epistatic interactions with all other traits. Hence simple recurrent selection can be followed to increase the frequency of desirable genes in the population and the resulted improved population can be used to develop superior lines with desirable genes by pedigree breeding. The crosses Co 3 × LP 5-1 and Pratap Soya - 2 × LP 5-2 were best for further selection programmes with regard to seed yield and quality improvement

GAMMA RAYS INDUCED MUTAGENIC STUDIES IN CATHARANTHUS ROSEUS (L.) G. DON., AN IMPORTANT ORNAMENTAL PLANT

A study was conducted to estimate the effect of gamma rays on growth and yield traits in periwinkle (Catharanthus roseus (L.) G. Don), an important horticulture plant. The seeds were treated with different levels of gamma rays (20, 25 and 30). Morphological parameters were analysed on the 30th day, like plant height, days of first flower, plant height, fresh weight per plant, dry weight per plant, root fresh weight per plant and root dry weight per plant. The morphological parameters were decreased with increasing levels of gamma rays doses

NOVA INFORMACIJSKA TEHNOLOGIJA PROCJENE KORISTI IZDVAJANJA CESTA POMOĆU SATELITSKIH SNIMKI VISOKE REZOLUCIJE TEMELJENE NA PCNN I C-V MODELU

Road extraction from high resolution satellite images has been an important research topic for analysis of urban areas. In this paper road extraction based on PCNN and Chan-Vese active contour model are compared. It is difficult and computationally expensive to extract roads from the original image due to presences of other road-like features with straight edges. The image is pre-processed using median filter to reduce the noise. Then road extraction is performed using PCNN and Chan-Vese active contour model. Nonlinear segments are removed using morphological operations. Finally the accuracy for the road extracted images is evaluated based on quality measures.Izdvajanje cesta pomoću satelitskih slika visoke rezolucije je važna istraživačka tema za analizu urbanih područja. U ovom radu ekstrakcije ceste se uspoređuju na PCNN i Chan-Vese aktivnom modelu. Teško je i računalno skupo izdvojiti ceste iz originalne slike zbog prisutnosti drugih elemenata ravnih rubova sličnih cestama. Slika je prethodno obrađena korištenjem filtera za smanjenje smetnji. Zatim se ekstrakcija ceste izvodi pomoću PCNN i Chan-Vese aktivnog modela konture. Nelinearni segmenti su uklonjeni primjenom morfoloških operacija. Konačno, točnost za ceste izdvojene iz slika se ocjenjuje na temelju kvalitativnih mjera

SUSTAV ZA OTKRIVANJE I OBRANU KORIŠTENJEM RUDARENJA PODATAKA

Network security helps to prevent the network against the intruders from performing malicious activities. The security can be provided to the networks using firewalls, anti-virus software and scanners, cryptographic systems, Secure Socket Layer (SSL) and Intrusion Detection Systems (IDS).Authentication is the commonly used technique to protect the unauthorized users from the network. But, it is easy to compromise the login passwords using brute force attacks. The IDS and firewalls concentrate on the external attacks, while the internal attacks are not taken into account. In order to solve these issues, this paper proposes an Inner Interruption Discovery and Defense System (IIDDS) at the System Call (SC) level using data mining and forensic techniques. The user’s profiles are maintained and compared with the actual dataset using Hellinger distance. A hash function is applied on the incoming messages and they are summarized in the sketch dataset. The experimental results evaluate the proposed system in terms of accuracy and response time.Mrežna sigurnost pomaže zaštititi mrežu od uljeza u obavljanju zlonamjernih aktivnosti. Sigurnost se može osigurati mrežama koristeći vatrozide, antivirusni softver i skenere, kriptografske sustave, Secure Socket Layer (SSL) i sustave za otkrivanje upada (IDS). Autentifikacija je najčešće korištena tehnika za zaštitu neovlaštenih korisnika na mreži. No, lako je kompromitirati lozinke za prijavu pomoću napada na silu. IDS i vatrozidi koncentriraju se na vanjske napade, dok se interni napadi ne uzimaju u obzir. Da bi se riješili ti problemi, u članku se predlaže unutarnje prekidanje i obrambeni sustav (IIDDS) na razini System Call (SC) razine pomoću rudarenja podataka i forenzičke tehnike. Profili korisnika održavaju se i uspoređuju sa stvarnim skupom podataka pomoću Hellingerove udaljenosti. Na dolazne poruke primjenjuje se hash funkcija i oni su sažeti u skupu skica podataka. Eksperimentalni rezultati procjenjuju predloženi sustav u smislu točnosti i vremena odziva

A Comparative Analysis of Age-Stage Two Sex Life Tables in Distinct Forms of Callosobruchus maculatus (F.): Insights into Population Dynamics and Reproductive Strategies

Callosobruchus maculatus, the bean weevil, is a fascinating insect that showcases remarkable adaptations for survival. Found in tropical and subtropical regions, it has become a global pest due to its adaptability and hitchhiking capabilities, causing substantial grain losses. This small beetle, part of the Chrysomelidae family, serves as a valuable model organism in entomology and agricultural research. One of the key aspects of Callosobruchus maculatus that captures the attention of scientists is its dichotomy between active and inactive forms. These two forms represent distinct survival strategies employed by the beetle to navigate its ever-changing environment. The present study provides a comprehensive overview of the study on Callosobruchus maculatus, highlighting the two distinct forms of the species, their adaptations, and the significance of understanding their lifetable parameters. It emphasizes the ecological, practical, and research-oriented implications of this study, ranging from ecological insights to pest management strategies and the optimization of mass multiplication protocols. These forms exhibited notable differences in various life history parameters and survival characteristics. Flightless-inactive females had longer preoviposition and oviposition period and laid a significantly higher average of eggs per female with higher reproduction potential. Female fecundity (eggs/female) was much lower in the flight-active form (18.6) than in the flightless-inactive form (84.10) and maintained constant survival rate. Life expectancy values were generally lower for the flightless-inactive form compared to the flight-active form across different stages and sexes. Both males and females in the flight-active form exhibited a consistent and relatively high life expectancy, with a 100% chance of survival throughout all age intervals. Overall, these findings provide a comprehensive understanding of the differences in life history traits, reproductive strategies, and survival patterns between the flight-active and flightless-inactive forms of Callosobruchus beetles in a controlled laboratory environment

3-(2-Methyl­benzyl­idene)-2,3-dihydro-1,5-benzothia­zepin-4(5H)-one

In the crystal structure of the title compound, C17H15NOS, the mol­ecules form centrosymmetric dimers through pairs of N—H⋯O hydrogen bonds. The seven-membered ring adopts a distorted half-chair conformation