Программно-технический комплекс для электрической части системы регулирования...ООО "Прософт-Системы"
Статья посвящена програмнно-техническому для электрической части системы и регулирования и защит паровых турбин (ПТК ЭЧСРиЗ) производства ООО "Прософт-Системы". ПТК ЭЧСРиЗ создан на базе разработанного в компании программируемого логического контроллера REGUL R600 - уникального по своим характеристикам отечественного продукта, отвечающего самым высоким требованиям, предъявляемым к оборудованию систем промышленной автоматизации. В статье приведено описание контроллера, его функциональные возможности и технические характеристики.
Цели исследования:
- анализ приоритетных направлений и роль HR в бизнесе,
- актуальные инстурменты поиска и подбора персонала,
- эффективность ркрутмента в российских и международных компаниях.
Синчак В. П., Ярмоленко Ю. Ю. Альтернативний порядок бюджетного відшкодування ПДВ сільгоспвиробникам в умовах системи електронного адміністрування. — С.168-181
А.В.Белянин, доцент Международного института экономики и финансов, зав.лабораторией экспериментальной и поведенческой экономики (Москва) — доклад на Первой ежегодной пациентской конференции по БАС (Москва, 07.12.2015)
This document provides an overview of distributed information retrieval (DIR) and is presented by Prof. Fabio Crestani. It covers the background of information retrieval (IR) including indexing, querying, IR models and evaluation. The document then outlines topics in DIR including introduction, architectures, broker-based systems, evaluation and applications of DIR.
El documento describe el modelado y verificación de sistemas de transición de estado utilizando el lenguaje de especificación temporal CTL. Explica cómo construir un modelo de estado, definir propiedades temporales y utilizar un verificador para determinar si el modelo cumple o no cumple las propiedades.
This document summarizes key concepts related to network flows, including maximum flows, minimum cost flows, and multicommodity flows. It provides an example of modeling internet routing as a maximum flow problem. It then describes the Ford-Fulkerson algorithm for finding maximum flows and some of its properties, including that the maximum flow equals the minimum cut. It discusses how the algorithm works by finding augmenting paths in the residual graph and updating the flow. Finally, it analyzes the running time of Ford-Fulkerson and describes how using shortest augmenting paths leads to a polynomial time algorithm.
The document discusses the benefits of exercise for mental health. It notes that regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise has also been shown to enhance self-esteem and serve as a healthy distraction from daily stressors.
Программно-технический комплекс для электрической части системы регулирования...ООО "Прософт-Системы"
Статья посвящена програмнно-техническому для электрической части системы и регулирования и защит паровых турбин (ПТК ЭЧСРиЗ) производства ООО "Прософт-Системы". ПТК ЭЧСРиЗ создан на базе разработанного в компании программируемого логического контроллера REGUL R600 - уникального по своим характеристикам отечественного продукта, отвечающего самым высоким требованиям, предъявляемым к оборудованию систем промышленной автоматизации. В статье приведено описание контроллера, его функциональные возможности и технические характеристики.
Цели исследования:
- анализ приоритетных направлений и роль HR в бизнесе,
- актуальные инстурменты поиска и подбора персонала,
- эффективность ркрутмента в российских и международных компаниях.
Синчак В. П., Ярмоленко Ю. Ю. Альтернативний порядок бюджетного відшкодування ПДВ сільгоспвиробникам в умовах системи електронного адміністрування. — С.168-181
А.В.Белянин, доцент Международного института экономики и финансов, зав.лабораторией экспериментальной и поведенческой экономики (Москва) — доклад на Первой ежегодной пациентской конференции по БАС (Москва, 07.12.2015)
This document provides an overview of distributed information retrieval (DIR) and is presented by Prof. Fabio Crestani. It covers the background of information retrieval (IR) including indexing, querying, IR models and evaluation. The document then outlines topics in DIR including introduction, architectures, broker-based systems, evaluation and applications of DIR.
El documento describe el modelado y verificación de sistemas de transición de estado utilizando el lenguaje de especificación temporal CTL. Explica cómo construir un modelo de estado, definir propiedades temporales y utilizar un verificador para determinar si el modelo cumple o no cumple las propiedades.
This document summarizes key concepts related to network flows, including maximum flows, minimum cost flows, and multicommodity flows. It provides an example of modeling internet routing as a maximum flow problem. It then describes the Ford-Fulkerson algorithm for finding maximum flows and some of its properties, including that the maximum flow equals the minimum cut. It discusses how the algorithm works by finding augmenting paths in the residual graph and updating the flow. Finally, it analyzes the running time of Ford-Fulkerson and describes how using shortest augmenting paths leads to a polynomial time algorithm.
The document discusses the benefits of exercise for mental health. It notes that regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise has also been shown to enhance self-esteem and serve as a healthy distraction from daily stressors.
1) Computer vision techniques such as stereo vision and object detection can be used for applications in robotics.
2) Stereo vision involves calculating depth from two images using techniques like block matching and disparity maps. It can be implemented efficiently on GPUs.
3) Object detection methods include feature detection using SIFT or SURF descriptors followed by matching and geometry validation using techniques like RANSAC. These allow objects to be detected and their pose estimated.
The document discusses concurrency and synchronization in distributed computing. It provides an overview of Petr Kuznetsov's research at Telecom ParisTech, which includes algorithms and models for distributed systems. Some key points discussed are:
- Concurrency is important due to multi-core processors and distributed systems being everywhere. However, synchronization between concurrent processes introduces challenges.
- Common synchronization problems include mutual exclusion, readers-writers problems, and producer-consumer problems. Tools for synchronization include semaphores, transactional memory, and non-blocking algorithms.
- Characterizing distributed computing models and determining what problems can be solved in a given model is an important area of research, with implications for distributed system design.
The document discusses weakly supervised learning from video and images using convolutional neural networks. It describes using scripts as weak supervision for learning actions from movies without explicit labeling. Methods are presented for jointly learning actors and actions from scripts, and for action learning with ordering constraints. The use of CNNs for object and action recognition in images is also summarized, including work on training CNNs using only image-level labels without bounding boxes.
This document discusses common C++ bugs and tools to find them. It describes various types of memory access bugs like buffer overflows on the stack, heap, and globals that can lead to crashes or security vulnerabilities. Threading bugs like data races, deadlocks, and race conditions on object destruction are also covered. Other undefined behaviors like initialization order issues, lack of sequence points, and integer overflows are explained. The document provides examples of each type of bug and emphasizes that undefined behavior does not guarantee a predictable result. It concludes with a quiz to find bugs in a code sample and links to additional reading materials.
AddressSanitizer, ThreadSanitizer, and MemorySanitizer are compiler-based tools that detect bugs like buffer overflows, data races, and uninitialized memory reads in C/C++ programs. AddressSanitizer instruments loads and stores to detect out-of-bounds memory accesses. ThreadSanitizer intercepts synchronization calls to detect data races between threads. MemorySanitizer tracks initialized and uninitialized memory using shadow memory to find uses of uninitialized values. The tools have found thousands of bugs with low overhead. Future work includes supporting more platforms and languages and detecting additional bug classes.
This document discusses common C++ bugs and tools to find them. It describes various types of memory access bugs like buffer overflows on the stack, heap, and globals that can lead to crashes or security vulnerabilities. Threading bugs like data races, deadlocks, and race conditions on object destruction are also covered. Other undefined behaviors like initialization order issues, lack of sequence points, and integer overflows are explained. The document provides examples of each type of bug and quizzes the reader to find bugs in a code sample. It recommends resources for further reading on debugging techniques and thread sanitizers that can detect races and data races.
This document provides examples and snippets of code for MapReduce, Pig, Hive, Spark, Shark, and Disco frameworks. It also includes two sections of references for related papers and Disco documentation. The examples demonstrate basic MapReduce jobs with drivers, mappers, and reducers in Java, Pig and Hive queries, Spark and Shark table operations, and a Disco MapReduce job.
30. Òåîðèÿ èãð: ïðèìåðû Àãåíòû, ñòðàòåãèè, ôóíêöèÿ ïîëåçíîñòè
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Âîñïîìèíàíèÿ è îáîçíà÷åíèÿ
Ìåõàíèçìû Àóêöèîí Âèêðè
Òèïè÷íûé àóêöèîííûé ïðèìåð
 àóêöèîíå âîçðàñòàþùåé öåíû ñîñòîÿíèå ìèðà äëÿ àãåíòà
ïîëíîñòüþ îïèñûâàåòñÿ ïàðîé (p , x )D ãäå p " òåêóùàÿ
öåíàD à áèò x ïîêàçûâàåòD ÿâëÿåòñÿ ëè àãåíò â òåêóùèé
ìîìåíò ëèäåðîì àóêöèîíàF
Ïóñòü ó àãåíòà åñòü ñâîÿ @ñêðûòàÿA îöåíêà ëîòà v D è îí
ãîòîâ çàïëàòèòü ëþáóþ ñóììóD êîòîðàÿ áûëà áû ìåíüøå v F
Òîãäà òFíF ˜est response str—tegy sBR (v ) îïèñûâàåòñÿ
ñëåäóþùèì îáðàçîìX
p, åñëè x = H è p < v ,
bB R (p , x , v ) =
ñèäåòü ìîë÷àD â ïðîòèâíîì ñëó÷àå.
Çäåñü b @îò ñëîâà ˜idA " ýòî ñòàâêàD êîòîðóþ äîëæåí
ñäåëàòü àãåíòF
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
45. Òåîðèÿ èãð: ïðèìåðû Àãåíòû, ñòðàòåãèè, ôóíêöèÿ ïîëåçíîñòè
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Âîñïîìèíàíèÿ è îáîçíà÷åíèÿ
Ìåõàíèçìû Àóêöèîí Âèêðè
Sealed-bid second-price
ÎêàçûâàåòñÿD ÷òî â í¼ì ó÷àñòíèêàì âûãîäíî ãîâîðèòü
ïðàâäó î ñâîåé ñêðûòîé öåííîñòè3
Äàâàéòå ïðîâåðèìD ÷òî bi (vi ) = vi ýòî äåéñòâèòåëüíî
äîìèíàíòíàÿ ñòðàòåãèÿF
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
46. Òåîðèÿ èãð: ïðèìåðû Àãåíòû, ñòðàòåãèè, ôóíêöèÿ ïîëåçíîñòè
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Âîñïîìèíàíèÿ è îáîçíà÷åíèÿ
Ìåõàíèçìû Àóêöèîí Âèêðè
Sealed-bid second-price
Îæèäàåìàÿ ïîëåçíîñòü ñòðàòåãèè bi (vi ) = vi ðàâíà
vi − b , åñëè bi b ,
ui (bi , b , vi ) =
H, â ïðîòèâíîì ñëó÷àåD
ãäå b ýòî íàèâûñøàÿ ñòàâêà ñðåäè âñåõ îñòàëüíûõ
àãåíòîâF
Åñëè b vi D òî îïòèìàëüíà ëþáàÿ ñòàâêà bi ≥ b @âåùü
âåäü âñ¼ ðàâíî ïðîäàäóò ïî öåíå b AF
Åñëè b ≥ vi D òîD îïÿòü æåD îïòèìàëüíà ëþáàÿ ñòàâêà
bi ≤ vi @âñ¼ ðàâíî íå ïðîäàäóòAF
Ñòàâêà bi = vi ïîäõîäèò â îáà ñëó÷àÿ è ïîýòîìó ÿâëÿåòñÿ
äîìèíàíòíîé ñòðàòåãèåéF
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
61. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Ïðèìåð
Ðàññìîòðèì ìíîæåñòâî èñõîäîâ O = {x , y , z } è
ïðåäïîëîæèìD ÷òî äåéñòâóþò äâà àãåíòàF
Ó ïåðâîãî àãåíòà ðîâíî îäèí òèïD Θ1 = {θ1 }D è ó ýòîãî òèïà
ñòðóêòóðà ïðåäïî÷òåíèé òàêîâàX x 1 y 1 zF
À ó âòîðîãî àãåíòà äâà ðàçíûõ òèïà Θ = {θa , θb }D è âîò èõ
2 2 2
ñòðóêòóðà ïðåäïî÷òåíèéX
z a y a x ,
2 2 y b x b z .
3 3
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
62. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Ïðèìåð
Ìû ïûòàåìñÿ ðåàëèçîâàòü ýôôåêòèâíóþ ïî Ïàðåòî
@ïðîâåðüòå3A ôóíêöèþ ñîöèàëüíîãî âûáîðàX
f (θ1 , θa ) = y ,
2 f (θ1 , θb ) = x .
2
Åñëè ìû çàõîòèì ïðîñòî ñïðîñèòü ó êàæäîãî àãåíòà åãî
òèïD âòîðîìó áóäåò âûãîäíî ñîâðàòüX ïðè òèïå θb åìó áóäåò
2
âûãîäíî ñêàçàòüD ÷òî îí θa è ïîëó÷èòü â ðåçóëüòàòå èñõîä
2
y D à íå xF
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
72. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Ãèïîòåçà ôîí-ÍåéìàíàÌîðãåíøòåðíà
Êëàññè÷åñêàÿ ãèïîòåçà ôîíEÍåéìàíà!Ìîðãåíøòåðíà
óòâåðæäàåòD ÷òî îæèäàåìàÿ ïîëåçíîñòü îò ëîòåðåè ñ äâóìÿ
èñõîäàìè z1 è z2 è âåðîÿòíîñòüþ p èñõîäà z1 ðàâíà
U (p ) = pu (z1 ) + (I − p )u (z2 ).
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
73. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Îñòîðîæíûé àãåíò
Îñíîâíàÿ ñóòü îñòîðîæíîãî àãåíòà â òîìD ÷òî äëÿ íåãî
ïîëó÷èòü ïðîñòî ñóììó â z äåíåã âûãîäíååD ÷åì èãðàòü â
ëîòåðåþ ñ îæèäàíèåì E [u ] = zF
Èíà÷å ãîâîðÿD ïîëåçíîñòü u (z ) äîëæíà áûòü ó íåãî âûøåD
÷åì U (p )F
×òî ýòî íàì ãîâîðèò î ôóíêöèè ïîëåçíîñòè u (z )
îñòîðîæíûõ àãåíòîâc
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
74. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Îñòîðîæíûé àãåíò
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
75. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Êîýôôèöèåíò ÝððîóÏðàòòà
Ìîæíî äàæå âûðàáîòàòü ÷èñëåííûé ïîêàçàòåëü òîãîD
íàñêîëüêî îñæåí àãåíòF
Êîýôôèöèåíò íåïðèÿòèÿ ðèñêà ÝððîóÏðàòòà @errow!€r—tt
me—sure of —˜solute risk —versionD e‚eAX
u (w )
Au (w ) = − .
u (w )
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
76. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Êîýôôèöèåíò ÝððîóÏðàòòà
Òîãäà ñïðàâåäëèâà òåîðåìàF
Òåîðåìà
Äëÿ íåêîòîðûõ ôóíêöèé ïîëåçíîñòè u è v
Au (w ) ≥ Av (w )
òîãäà è òîëüêî òîãäà, êîãäà ñóùåñòâóåò òàêàÿ âîçðàñòàþùàÿ
âîãíóòàÿ ôóíêöèÿ h, ÷òî
u (w ) = h(v (w )).
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ
77. Òåîðèÿ èãð: ïðèìåðû Ôóíêöèÿ ñîöèàëüíîãî âûáîðà è ìåõàíèçìû
Îñíîâíûå ïîíÿòèÿ è îáîçíà÷åíèÿ Îïòèìàëüíîñòü ïî Ïàðåòî
Ìåõàíèçìû Ïðåäïîëîæåíèÿ îá àãåíòàõ
Ñïàñèáî çà âíèìàíèå!
ve™ture notes è ñëàéäû áóäóò ïîÿâëÿòüñÿ íà ìîåé
homep—geX
http://logic.pdmi.ras.ru/∼sergey/index.php?page=teaching
Ïðèñûëàéòå ëþáûå çàìå÷àíèÿD ðåøåíèÿ óïðàæíåíèéD
íîâûå ÷èñëåííûå ïðèìåðû è ïðî÷åå ïî àäðåñàìX
sergey@logic.pdmi.ras.ruD snikolenko@gmail.com
Çàõîäèòå â ÆÆ smartnikF
Ñåðãåé Íèêîëåíêî Íåñêîëüêî ïðèìåðîâ è îñíîâíûå îïðåäåëåíèÿ