A Novel low power 2-D to 3-D Array Priority Encoder using Split-Logic Technique for Data Path Applications

In this work, an ascendable low power 64-bit priority encoder is designed using a two-directional array to three-directional array conversion, and Split-logic technique and 6-bit is obtained as the output. By using this method, the high performance priority encoder can be achieved. In the conventional priority encoder, a single bit is set as an input, but for a priority encoder with 3-Darray, every input are specified in the matrix form. The I-bit input file is split hooked on M × N bits, similar to 2-D Matrix. In priority encoder with 3-Darray, three directional output comes out, unlike traditional priority encoder, where the output is received from one direction. The development can be achieved by implementing the two-directional array to three-directional array technique. Simulation results show that the proposed 2-D and 3-D priority encoder consumes 0.087039mW and 0.184014mW which is less when compared with the conventional priority encoder. The priority encoders are simulated and synthesized using VHDL in Xilinx Vivado version 2019.2 and the Oasys synthesis tool.

PC based new software developed to create an input pilot balloon data file to an alternative to Hand Held Data Logger (HHDL) for using PC based SAMEER Pibal computation software

Pilot balloon observatories of India Meteorological Department (IMD) are using Hand Held Data Logger (HHDL), manufactured by SAMEER, to compute upper air data since 2007. The HHDL, which is a sleek and microcontroller based battery operated unit, accepts all information through the numeric keypad pertaining to the PB ascent for raw file generation and pilot balloon data processing. The raw file can be transferred to computer system as an input file to PC based Pibal computation software. This software generates Pibal messages similar to HHDL in addition to National Data Centre (NDC) data format and monthly climate. In case of any failure of hardware, both HHDL & PC based Pibal computation software cannot be used. Therefore to overcome this problem, a PC based Pibal data keying software has been developed using visual C sharp. The new software, what is developed, creates an input file similar to HHDL; it was tested with PC based Pibal computation software which works successfully as an alternate in case of failure of HHDL & it’s hardware accessories

Symmetry-adapted pair distribution function analysis (SAPA): a novel approach to evaluating lattice dynamics and local distortions from total scattering data

A novel symmetry-adapted pair distribution function analysis (SAPA) method for extracting information on local distortions from pair distribution function data is introduced. The implementation of SAPA is demonstrated in the TOPAS-Academic software using the freely available online software ISODISTORT, and scripts for converting the output from ISODISTORT to a SAPA input file for TOPAS are provided. Finally, two examples are provided to show how SAPA can evaluate the nature of both dynamic distortions in ScF3 and the distortions which act as an order parameter for the phase transitions in BaTiO3.

Two Simple and Reliable Metrics of Molecular Planarity: Molecular Planarity Parameter (MPP) and Span of Deviation from Plane (SDP)

Planarity is a very important structural character of molecules, which is closely related to many molecular properties. However, there is currently no simple, universal, and robust way to measure molecular planarity. In order to fill this evident gap, we propose two metrics of molecular planarity, namely molecular planarity parameter (MPP) and span of deviation from plane (SDP), to quantitatively characterize planarity of molecules. MPP reflects the overall degree of deviation of the structure from a plane, while SDP represents the span of the structural deviation relative to the fitting plane, respectively, they are complementary to each other. The examples in this article demonstrate that these metrics have strong rationality and practicality. They can not only be used to investigate the planarity of the entire molecule, but can also measure the planarity of local structures, and they can even be employed to study variation of molecular planarity during a dynamic process. In addition, we also proposes a new representation, namely coloring atoms according to their signed deviation distance to the fitting plane. This kind of map allows researchers to intuitively and quickly recognize position of the atoms in the system relative to the fitting plane. It can be seen from the examples that this representation is very useful in graphically exhibiting molecular planarity. The methods proposed in this work have been implemented in our open-source analysis code Multiwfn, which can be freely obtained via http://sobereva.com/multiwfn. The use is very simple and rich file formats are supported as input file.

Two Simple and Reliable Metrics of Molecular Planarity: Molecular Planarity Parameter (MPP) and Span of Deviation from Plane (SDP)

Planarity is a very important structural character of molecules, which is closely related to many molecular properties. However, there is currently no simple, universal, and robust way to measure molecular planarity. In order to fill this evident gap, we propose two metrics of molecular planarity, namely molecular planarity parameter (MPP) and span of deviation from plane (SDP), to quantitatively characterize planarity of molecules. MPP reflects the overall degree of deviation of the structure from a plane, while SDP represents the span of the structural deviation relative to the fitting plane, respectively, they are complementary to each other. The examples in this article demonstrate that these metrics have strong rationality and practicality. They can not only be used to investigate the planarity of the entire molecule, but can also measure the planarity of local structures, and they can even be employed to study variation of molecular planarity during a dynamic process. In addition, we also proposes a new representation, namely coloring atoms according to their signed deviation distance to the fitting plane. This kind of map allows researchers to intuitively and quickly recognize position of the atoms in the system relative to the fitting plane. It can be seen from the examples that this representation is very useful in graphically exhibiting molecular planarity. The methods proposed in this work have been implemented in our open-source analysis code Multiwfn, which can be freely obtained via http://sobereva.com/multiwfn. The use is very simple and rich file formats are supported as input file.

Integrating layer by layer manufacturing for the realization of polymer complex geometries with scanning devices: re-building by digital data

The additive manufacturing technique represents a way to realize components or prototypes without the use of conventional tools.The research presented aims at proposing a methodology based on the use of three different techniques that are the poly-jet 3D using UV photo-polymerization, the FDM of polyamide materials and the FDM of PLA materials. The original data were used at the beginning with the first technique in order to detect the shape and the geometry by a 3D SCANNER. The objective was the re-building of a model shape made using a procedure in which the input file characteristics were updated starting from those got by the scanning device in order to respect the original requirements defined in the computer aided environment. It was found that the physical re-building of an object is depending the characteristics of the input file that needs to be digitally processed in order to get the desired shape and geometry. In that way also FDM using PLA and polyamide materials can be utilized to get components or prototypes from scanned digital data. The results are reported in details.

Cladding Profilometry Analysis of Experimental Breeder Reactor-II Metallic Fuel Pins with HT9, D9, and SS316 Cladding

BISON finite element method fuel performance simulations were conducted using an existing automated process that couples the Fuels Irradiation & Physics Database (FIPD) and the Integral Fast Reactor Materials Information System database by writing input files and comparing the BISON output to post-irradiation fuel pin profilometry measurements contained within the databases. The importance of this work is to demonstrate the ability to benchmark fuel performance metallic fuel models within BISON using Experimental Breeder Reactor-II fuel pin data for a number of similar pins, while building off previous modeling efforts. Changes to the generic BISON input file include implementing pin specific axial power and flux profiles, pin specific fluences, frictional contact, and irradiation-induced volumetric swelling models for cladding. A statistical analysis of irradiation-induced volumetric swelling models for HT9, D9, and SS316 was performed for experiments X421/X421A, X441/X441A, and X486. Between these three experiments, there were 174 post-irradiation examination (PIE) profilometries used for validating the swelling models presented using a standard error of the estimate (SEE) method. Implementation of the volumetric swelling models for D9 and SS316 claddings was found to have a significant impact on the BISON profilometry simulated, where HT9 clad pins had an insignificant change due to low fluence values. BISON profilometry simulated for HT9, D9, and SS316 fuel pins agreed with PIE profilometry measurements, with assembly SEE values being 4.4 × 10−3 for X421A, 2.0 × 10−3 for X441A, and 2.8 × 10−3 for X486. D9 clad pins in X421/X421A had the highest SEE values, which is due to the BISON simulated profilometry being shifted axially. While this work accomplished its purpose to demonstrate the modeling of multiple fuel pins from the databases to help validate models, the results suggest that the continued development of metallic fuel models is necessary for qualifying new metallic fuel systems to better capture some physical performance phenomena, such as the hot pressing of U-Pu-Zr and the fuel cladding chemical interaction.

IMPLEMENTASI FEISTEL BLOCK CIPHER DALAM ENKRIPSI FILE BERBENTUK TEKS

Salah satu cara mengamankan file digital yang dikirimkan melalui jaringan komputer adalah kriptografi. Kriptografi melakukan pengamanan terhadap file digital yang dikirimkan dengan melakukan pengacakan informasi asli (plaintext) menggunakan kunci (key). Pada penelitian ini akan diimplementasikan salah satu metode dalam melakukan enkripsi terhadap file berbentuk Teks (txt, pdf, docx dan rtf) dengan maksimal input file digital berukuran 80 MB menggunakan Feistel Block Cipher dengan metode 3DES. Proses penyandian (enkripsi) algoritma DES diproses sebanyak 3 kali menggunakan 3 kunci dengan total kunci yang dibangkitkan menjadi 168 bit. Ketiga kunci yang digunakan dapat bersifat saling bebas, atau hanya 2 kunci saja yang saling bebas tergantung penggunaan yang dibutuhkan. Hasil pengujian menunjukkan ukuran file berpengaruh pada waktu yang dibutuhkan dalam proses enkripsi maupun dekripsi, selain itu proses yang berjalan pada sistem operasi juga mempengaruhi waktu pengenkripsian suatu file. Tabel hasil uji coba menunjukkan bahwa waktu yang dibutuhkan dalam proses enkripsi tidak jauh berbeda dengan waktu yang dibutuhkan dalam proses dekripsi pada file yang sama, yaitu memiliki selisih sebesar 0.03% dimana proses dekripsi lebih cepat daripada proses enkripsi.

Megadepth: efficient coverage quantification for BigWigs and BAMs

MotivationA common way to summarize sequencing datasets is to quantify data lying within genes or other genomic intervals. This can be slow and can require different tools for different input file types.ResultsMegadepth is a fast tool for quantifying alignments and coverage for BigWig and BAM/CRAM input files, using substantially less memory than the next-fastest competitor. Megadepth can summarize coverage within all disjoint intervals of the Gencode V35 gene annotation for more than 19,000 GTExV8 BigWig files in approximately one hour using 32 threads. Megadepth is available both as a command-line tool and as an R/Bioconductor package providing much faster quantification compared to the rtracklayer package.Availabilityhttps://github.com/ChristopherWilks/megadepth, https://bioconductor.org/packages/[email protected]

A Universal Sequencing System for Unknown Oligomers

<p><b>No synthetic chemical system can produce complex oligomers with fidelities comparable to biological systems. To bridge this gap, chemists must be able to </b><b>characterise</b><b> synthetic oligomers. Currently there are no tools for identifying synthetic oligomers with sequence resolution. Herein, we present a system that allows us to do omics-level sequencing for synthetic oligomers and use this to explore unconstrained complex mixtures. The system, Oligomer-Soup-Sequencing (OLIGOSS), can sequence individual oligomers in heterogeneous and polydisperse mixtures from tandem mass spectrometry (MS/MS) data. Unlike existing software, OLIGOSS can sequence oligomers with different backbone chemistries. Using an input file format, OLIG, that formalizes the set of abstract properties, any MS/MS fragmentation pathway can be defined. This has been demonstrated on four model systems of linear oligomers. OLIGOSS can screen large sequence spaces, enabling reliable sequencing of synthetic oligomeric mixtures, with false discovery rates (FDRs) of 0-1.1%, providing sequence resolution comparable to bioinformatic tools.</b></p>