1,573 research outputs found
Use of a laser for the spectral analysis of semiconductor materials
Conventional applications of lasers for emission spectroscopy involving direct recording of light pulses of an evaporated substance emitted from the sample under the action of the laser light (direct method) were examined. Use of the laser light for conversion of the substance to a vapor and feeding the vapors into the conventional source of emission such as arc, sparks, etc. (the so called 2 stage excitation) were studied for use in the spectral analysis, of semiconductors. The direct method has a high reproducibility (5-7%); the 2 stage excitation method, characterized by the same intensity as obtained with the conventional constant, current arc, has better reproducibility than the direct method (15-20%). Both methods can be used for the analysis of samples without prior preparation. Advantages of these methods are the elimination of impurities picked up during trituration of the samples into powders and shortening of the analytical procedures
Simulation of the IPTV systems multiservice data networks
Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌ ΠΠ Π’? ΠΌΡΠ»ΡΡΠΈΡΠ΅ΡΠ²ΠΈΡΠ½ΠΎΠΉ ΡΠ΅ΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ Π΄Π°Π½Π½ΡΡ
Π² ΡΡΠ΅Π±Π½ΠΎΠΌ ΠΏΡΠΎΡΠ΅ΡΡΠ΅.Describes the possibility of using software simulation systems IPTV multiservice data network in the learning process
Memory Power Consumption in Main-Memory Database Systems
In main-memory database systems, memory can consume a substantial amount of
power, comparable to that of the processors. However, existing memory power-saving
mechanisms are much less effective than processor power management. Unless the system
is almost idle, memory power consumption will be high.
The reason for poor memory power proportionality is that the bulk of memory power
consumption is attributable to background power, which is determined by memory power
state residency. The memory workload in existing systems is evenly distributed over the
memory modules and also in time, which precludes the occurrence of long idle intervals.
As a result, deep low-power states, which could significantly reduce background power
consumption, are rarely entered.
In this work, we aim to reduce the memory power consumption of main-memory data-
base systems. We start by investigating and explaining the patterns of memory power
consumption, under various workloads. We then propose two techniques, implemented at
the database system level, that skew memory traffic, creating long periods of idleness in a
subset of memory modules. This allows those modules to enter low-power states, reducing
overall memory power consumption. We prototyped these techniques in DimmStore, an
experimental database system.
The first technique is rate-aware data placement, which places data on memory modules
according to its access frequency. The background power in the unused or least-used
modules is reduced, without affecting background power in the most-used modules. Rate-
aware placement saves power and has little performance impact. Under a TPC-C workload,
rate-aware placement resulted in memory power savings up to 44%, with a maximum
throughput reduction of 10%.
The second technique is memory access gating, which targets background power in less-
frequently accessed memory modules by inserting periodic idle intervals. Memory gating
reduces power consumption of memory modules for which rate-aware placement alone does
not create sufficient idleness to reduce power consumption. With gating, memory accesses
to these modules become concentrated outside of the idle intervals, creating the opportunity
for low-power state use. However, because it delays memory accesses, memory gating
impacts performance. Higher memory power savings and lower performance impact occur
in workloads with lower memory access rates. Thus, in the YCSB workload with a medium
transaction rate, memory gating reduced memory power by 26%, adding 0.25 ms (30%) of
transaction latency, compared to DimmStore without gating. In the more memory intensive
TPC-C workload and low to medium transaction rate, gating can save 5% of memory power,
adding 1.5 ms (60%) of transaction latency, compared to DimmStore without gating
The divine sphere according to John 3:1-10
According to the research, emphatic "Greek text" tells about
confidence of Nicodemus in possession of trustworthy criteria, which allow him to judge what
might be from God and, hence, what might not be from God. Epistemological premise of
Nicodemus is the starting point for the whole conversation in Jn 3:1-21. Analysis of the Jewish
literary tradition that used dualistic couples of antonyms to denote "otherness" of the divine sphere
1ms shown that ontological difference (v. 6) makes it impossible for human ("flesh") to know the
divine sphere ("spirit"). This results in the fact that manifestations of the divine sphere (effect) are
falsely taken by human for the divine sphere itself (cause). In other words, just verification of the
divine sphere manifestation without initiative act on behalf of God does not allow human neither to
correctly value this sphere, nor to enter it.New TestamentM. Th. (New Testament
Dynamic Scale-out Mechanisms for Partitioned Shared-Nothing Databases
For a database system used in pay-per-use cloud environments, elastic scaling becomes an essential feature, allowing for minimizing costs while accommodating fluctuations of load. One approach to scalability involves horizontal database partitioning and dynamic migration of partitions between servers. We define a scale-out operation as a combination of provisioning a new server followed by migration of one or more partitions to the newly-allocated server.
In this thesis we study the efficiency of different implementations of the scale-out operation in the context of online transaction processing (OLTP) workloads. We designed and implemented three migration mechanisms featuring different strategies for data transfer. The first one is based on a modification of the Xen hypervisor, Snowflock, and uses on-demand block transfers for both server provisioning and partition migration. The second one is implemented in a database management system (DBMS) and uses bulk transfers for partition migration, optimized for higher bandwidth utilization. The third one is a conventional application, using SQL commands to copy partitions between servers.
We perform an experimental comparison of those scale-out mechanisms for disk-bound and CPU-bound configurations. When comparing the mechanisms we analyze their impact on whole-system performance and on the experience of individual clients
Methods of identification parameters and state of ac - electrotechnical complexes mining shovels
Π‘ΡΠ°ΡΡΡ ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° Π²ΠΎΠΏΡΠΎΡΠ°ΠΌ Π°Π½Π°Π»ΠΈΠ·Π° ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΠΈ ΡΠΎΡΡΠΎΡΠ½ΠΈΡ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΡΠΈΠ²ΠΎΠ΄ΠΎΠ² ΠΏΠ΅ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΎΠΊΠ°. Π‘ΡΠ°Π²Π½ΠΈΠ²Π°ΡΡΡΡ ΠΏΡΡΠΌΡΠ΅ ΠΈ ΠΊΠΎΡΠ²Π΅Π½Π½ΡΠ΅ ΡΠΏΠΎΡΠΎΠ±Ρ ΠΈΠ·ΠΌΠ΅ΡΠ΅Π½ΠΈΡ ΠΌΠ°ΡΡΡ ΠΏΠΎΡΠΎΠ΄Ρ Π² ΠΊΠΎΠ²ΡΠ΅ ΠΊΠ°ΡΡΠ΅ΡΠ½ΡΡ
ΡΠΊΡΠΊΠ°Π²Π°ΡΠΎΡΠΎΠ². ΠΡΠΈΠ²ΠΎΠ΄ΡΡΡΡ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΌΠΎΠΌΠ΅Π½ΡΠ° Π½Π°Π³ΡΡΠ·ΠΊΠΈ ΡΠ»Π΅ΠΊΡΡΠΎΠΏΡΠΈΠ²ΠΎΠ΄ΠΎΠ² Ρ Π°ΡΠΈΠ½Ρ
ΡΠΎΠ½Π½ΡΠΌΠΈ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»ΡΠΌΠΈ Ρ ΠΊΠΎΡΠΎΡΠΊΠΎΠ·Π°ΠΌΠΊΠ½ΡΡΡΠΌ ΡΠΎΡΠΎΡΠΎΠΌ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π³ΡΠ°Π΄ΠΈΠ΅Π½ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠΈΡΠΊΠ° ΠΌΠΈΠ½ΠΈΠΌΡΠΌΠ° ΡΡΠ½ΠΊΡΠΈΠΈ, ΡΠΈΠ»ΡΡΡΠΎΠ² Ρ ΠΊΠΎΠ½Π΅ΡΠ½ΠΎΠΉ ΠΈΠΌΠΏΡΠ»ΡΡΠ½ΠΎΠΉ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΎΠΉ, Π½Π°Π±Π»ΡΠ΄Π°ΡΠ΅Π»Π΅ΠΉ, ΠΎΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠΉ ΡΠΈΠ»ΡΡΡΠ°ΡΠΈΠΈ ΠΠ°Π»ΠΌΠ°Π½Π° ΠΈ ΠΈΡΠΊΡΡΡΡΠ²Π΅Π½Π½ΡΡ
Π½Π΅ΠΉΡΠΎΠ½Π½ΡΡ
ΡΠ΅ΡΠ΅ΠΉ.Article is devoted to the analysis of identification methods parameters and state of AC electric drives. Compares the direct and indirect measuring methods the mass of rocks in the bucket mining shovels. The methods of identifying the load torque of electric drives with asynchronous motors with squirrel-cage rotor based on gradient search of minimum functions, filters with finite impulse response, observers optimal Kalman filtering and artificial neural networks
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