Overview and Development of the Child Health and Mortality Prevention Surveillance Determination of Cause of Death (DeCoDe) Process and DeCoDe Diagnosis Standards

Mortality surveillance and cause of death data are instrumental in improving health, identifying diseases and conditions that cause a high burden of preventable deaths, and allocating resources to prevent these deaths. The Child Health and Mortality Prevention Surveillance (CHAMPS) network uses a standardized process to define, assign, and code causes of stillbirth and child death (<5 years of age) across the CHAMPS network. A Determination of Cause of Death (DeCoDe) panel composed of experts from a local CHAMPS site analyzes all available individual information, including laboratory, histopathology, abstracted clinical records, and verbal autopsy findings for each case and, if applicable, also for the mother. Using this information, the site panel ascertains the underlying cause (event that precipitated the fatal sequence of events) and other antecedent, immediate, and maternal causes of death in accordance with the International Classification of Diseases, Tenth Revision and the World Health Organization death certificate. Development and use of the CHAMPS diagnosis standards—a framework of required evidence to support cause of death determination—assures a homogenized procedure leading to a more consistent interpretation of complex data across the CHAMPS network. This and other standardizations ensures future comparability with other sources of mortality data produced externally to this project. Early lessons learned from implementation of DeCoDe in 5 CHAMPS sites in sub-Saharan Africa and Bangladesh have been incorporated into the DeCoDe process, and the implementation of DeCoDe has the potential to spur health systems improvements and local public health action.

A Decode Technique of MSI for Efficient Reconstruction Process

This paper presents aMSI(Modified Steganography for Image) decode technique for the perfect reconstruction process. Many algorithms are failing in decoding process due to the various reasons. In order to overcome those issues, an efficient decode process of MSI has been proposed in this paper presents. Basically, theMSImethod can be classified into two parts of Encode and Decode. The segregation process for constructing the subbands,8-bit binary conversion process, Inverse substitution process and Decimal conversion process are doing an important role inMSIdecode process. In addition, to measure theMSIdecode performances, the standard parameters are used. This technique is designed mainly for the secret medical image transmission. The secret input image pixels should not be loss while transmitting over the network. In case of loss, it’s very hard to retrieve the original secret image/date during the reconstruction process. This issue has been addressed byMSIdecode process. In result, the original secret image can be restored 100% from this technique, the decode time is minimum than the conventional methods, the replica of the cover or known image can be obtained. However, the main advantages of this technique are easy to handle, more complex and strength than other methods, a perfect reconstruction without any loss and less execution time.

A High-Speed 64b/66b Decoder Used in SerDes

A high-speed 64b/66b decoder for SerDes system was designed in TSMC 0.18-μm CMOS Technology. The chip is composed of Block Sync, Descrambler, Decode Process and Receive Control. To make the system can be work in high speed, we use a lot of technology such as pipeline strategy, optimization of complicated logics and parallel descrambler.

The Design of 2D Bar Code Recognition Software on Android

In order to promote the application of two dimensional barcode on mobile phone, this paper uses the popular Android technology, and researches QR code format and the decode process of the QR code; and then designs 2D bar code recognition system based on the decode library Zxing. After testing, it is proved that the system has good generality and low resource consuming, and the software of itself is only 140 K.